{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Install IPython libraries (If necessary)\n", "\n", "`pip install ipython` \\\n", "`pip install ipykernel` \\\n", "`pip install ipywidgets`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import scEGOT class and other libraries. We use os, glob, itertools, and pandas to read and reshape input data." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import itertools\n", "import glob\n", "import gzip\n", "import os\n", "import tarfile\n", "\n", "import anndata\n", "from IPython.display import display\n", "import pandas as pd\n", "import urllib.request\n", "\n", "from scegot import scEGOT" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Set constants" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "DATASET_INPUT_ROOT_PATH = os.path.join(os.getcwd(), \"dataset/\")\n", "RANDOM_STATE = 2023\n", "PCA_N_COMPONENTS = 30\n", "GMM_CLUSTER_NUMBERS = [1, 2, 4, 5, 5]\n", "UMAP_N_NEIGHBORS = 1000\n", "DAY_NAMES = [\"day0\", \"day0.5\", \"day1\", \"day1.5\", \"day2\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In case of `Anndata` :" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "ANNDATA_FILE_NAME = 'GSE241287_scRNAseq_hPGCLC_induction'\n", "ANNDATA_DATASET_PATH = os.path.join(DATASET_INPUT_ROOT_PATH, ANNDATA_FILE_NAME) + '.h5ad'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In case of `DataFrame(CSV)` :" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "DATAFRAME_FOLDER_NAME = 'GSE241287_RAW'\n", "DATAFRAME_DATASET_FOLDER_PATH = os.path.join(DATASET_INPUT_ROOT_PATH, DATAFRAME_FOLDER_NAME)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Read input files\n", "\n", "Either `AnnData` or `DataFrame (CSV)` can be used.\n", "- In the case of `AnnData`:\n", "The name of the obs key containing the day information is passed as the `adata_day_key` argument when instantiating the `scEGOT` class.\n", "- In the case of `DataFrame`:\n", "One `DataFrame` must correspond to each day; prepare an array of DataFrames in the order of day.\n", "\n", "The following scRNA-seq data of the human PGCLC induction system are available in the Gene Expression Omnibus [GEO](https://www.ncbi.nlm.nih.gov/geo/) under identification number GSE241287. \n", "\n", "The data is expected to be stored in `./scegot/dataset`, `DATASET_INPUT_ROOT_PATH`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In case of `Anndata` :" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AnnData object with n_obs × n_vars = 11771 × 18922\n", " obs: 'sample', 'percent.mito', 'day', 'cluster_day'\n", " var: 'spliced', 'unspliced', 'mt', 'TF', 'gene_name'\n", " layers: 'X_raw', 'spliced', 'unspliced'\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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samplepercent.mitodaycluster_day
iM.data_GTGGAAGGTCAATGGG-1iM.data0.056487iMday0
iM.data_TTCATGTCAACCCGCA-1iM.data0.216231iMday0
iM.data_GAGGGTATCCAGGACC-1iM.data0.076525iMday0
iM.data_AAGTCGTAGGCTTTCA-1iM.data0.080264iMday0
iM.data_ACCGTTCGTAACTTCG-1iM.data0.280788iMday0
...............
d2b.data_AAGCCATAGGGCGAGA-1d2b.data4.811476d2bday2
d2b.data_CAACCAATCTTCCGTG-1d2b.data2.554428d2bday2
d2b.data_AGGCCACGTGAGTAGC-1d2b.data3.142146d2bday2
d2b.data_GATCAGTTCGAGTACT-1d2b.data4.287140d2bday2
d2b.data_TCATCCGTCATGGGAG-1d2b.data2.835834d2bday2
\n", "

11771 rows × 4 columns

\n", "
" ], "text/plain": [ " sample percent.mito day cluster_day\n", "iM.data_GTGGAAGGTCAATGGG-1 iM.data 0.056487 iM day0\n", "iM.data_TTCATGTCAACCCGCA-1 iM.data 0.216231 iM day0\n", "iM.data_GAGGGTATCCAGGACC-1 iM.data 0.076525 iM day0\n", "iM.data_AAGTCGTAGGCTTTCA-1 iM.data 0.080264 iM day0\n", "iM.data_ACCGTTCGTAACTTCG-1 iM.data 0.280788 iM day0\n", "... ... ... ... ...\n", "d2b.data_AAGCCATAGGGCGAGA-1 d2b.data 4.811476 d2b day2\n", "d2b.data_CAACCAATCTTCCGTG-1 d2b.data 2.554428 d2b day2\n", "d2b.data_AGGCCACGTGAGTAGC-1 d2b.data 3.142146 d2b day2\n", "d2b.data_GATCAGTTCGAGTACT-1 d2b.data 4.287140 d2b day2\n", "d2b.data_TCATCCGTCATGGGAG-1 d2b.data 2.835834 d2b day2\n", "\n", "[11771 rows x 4 columns]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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splicedunsplicedmtTFgene_name
FAM3A1100FAM3A
SLC25A11100SLC25A1
RBL11100RBL1
PPP2R1A1100PPP2R1A
H3F3B1100H3F3B
..................
OR2W51000OR2W5
ODF41100ODF4
CRP1000CRP
KRTAP4-91000KRTAP4-9
THEMIS1100THEMIS
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18922 rows × 5 columns

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" ], "text/plain": [ " spliced unspliced mt TF gene_name\n", "FAM3A 1 1 0 0 FAM3A\n", "SLC25A1 1 1 0 0 SLC25A1\n", "RBL1 1 1 0 0 RBL1\n", "PPP2R1A 1 1 0 0 PPP2R1A\n", "H3F3B 1 1 0 0 H3F3B\n", "... ... ... .. .. ...\n", "OR2W5 1 0 0 0 OR2W5\n", "ODF4 1 1 0 0 ODF4\n", "CRP 1 0 0 0 CRP\n", "KRTAP4-9 1 0 0 0 KRTAP4-9\n", "THEMIS 1 1 0 0 THEMIS\n", "\n", "[18922 rows x 5 columns]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "input_data = anndata.read_h5ad(ANNDATA_DATASET_PATH)\n", "print(input_data)\n", "display(input_data.X)\n", "display(input_data.obs)\n", "display(input_data.var)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In case of `DataFrame(CSV)` :" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "input_file_paths = sorted(glob.glob(f\"{DATAFRAME_DATASET_FOLDER_PATH}*.csv\"))\n", "input_data = [\n", " pd.read_csv(input_file_path, index_col=0) for input_file_path in input_file_paths\n", "]\n", "\n", "print(\"shape of each day's data:\")\n", "for i, data in enumerate(input_data):\n", " print(f\" {DAY_NAMES[i]}: {data.shape}\")\n", "print(\"data example: \")\n", "input_data[0].head()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['cell', 'ZBTB8B', 'GSX2', ..., 'NME2', 'ZNF488', 'ZNF280B'],\n", " dtype=object)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tf_gene_names = (\n", " pd.read_csv(\n", " f\"{DATASET_INPUT_ROOT_PATH}/TFgenes_name.csv\", header=None\n", " )\n", " .values[0]\n", ")\n", "tf_gene_names" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Tutorial" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create scEGOT instance." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You must pass values for the `adata_day_key` argument when using AnnData and for the `day_names` argument when using an array of DataFrames.\n", "`adata_day_key` is the key of the day in AnnData.obs, and `day_names` is an array containing the names of the days in each DataFrames." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In case of `Anndata` :" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Processing AnnData...\n" ] } ], "source": [ "scegot = scEGOT(\n", " input_data,\n", " verbose=True, # default=True\n", " adata_day_key=\"cluster_day\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In case of `DataFrame(CSV)` :" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "scegot = scEGOT(\n", " input_data,\n", " verbose=True, # default=True\n", " day_names=DAY_NAMES, # uncomment this line if you use an array of DataFrames\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Preprocess:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Preprocess in the following order.\n", "\n", "RECODE -> UMI normalize -> log1p normalize -> select variable genes -> PCA\n", "\n", "You can also apply UMAP by calling `apply_umap()` after `preprocess()`. In the tutorial, UMAP is applied after GMM is applied." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Applying RECODE...\n", "start RECODE for scRNA-seq data\n", "end RECODE for scRNA-seq\n", "log: {'seq_target': 'RNA', '#significant genes': 15820, '#non-significant genes': 2582, '#silent genes': 65, 'ell': 288, 'Elapsed time': '0h 2m 14s 613ms', 'solver': 'randomized', '#test_data': 2354}\n", "Applying UMI normalization...\n", "Applying log1p normalization...\n", "Applying PCA...\n", "\tsum of explained_variance_ratio = 84.92641457132058\n", "CPU times: user 1min 16s, sys: 19.3 s, total: 1min 35s\n", "Wall time: 2min 46s\n" ] } ], "source": [ "%%time\n", "X, pca_model = scegot.preprocess(\n", " PCA_N_COMPONENTS,\n", " recode_params={},\n", " umi_target_sum=1e5,\n", " pca_random_state=RANDOM_STATE,\n", " pca_other_params={},\n", " apply_recode=True,\n", " apply_normalization_log1p=True,\n", " apply_normalization_umi=True,\n", " select_genes=True,\n", " n_select_genes=2000,\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Apply GMM:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Apply GMM and visualize the results in each case of PCA and UMAP. To switch between PCA and UMAP displays, specify the mode argument to the plotting function." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fitting GMM models with each day's data and predicting labels for them...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "python(23383) MallocStackLogging: can't turn off malloc stack logging because it was not enabled.\n", " 0%| | 0/5 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scegot.plot_gmm_predictions(\n", " mode=\"pca\",\n", " plot_gmm_means=True,\n", " figure_titles_without_gmm=[f\"{name} on PCA\" for name in DAY_NAMES],\n", " figure_titles_with_gmm=[f\"{name} with GMM\" for name in DAY_NAMES],\n", " cmap=\"plasma\",\n", " # save=True,\n", " # save_paths=[f\"./gmm_preds_{day_name}.png\" for day_name in DAY_NAMES]\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Apply UMAP" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1min 31s, sys: 1.82 s, total: 1min 33s\n", "Wall time: 1min 36s\n" ] } ], "source": [ "%%time\n", "X_umap, umap_model = scegot.apply_umap(\n", " UMAP_N_NEIGHBORS,\n", " n_components=2,\n", " random_state=RANDOM_STATE,\n", " min_dist=0.8,\n", " umap_other_params={},\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Visualization in UMAP" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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AQggNqPbDp3MX6LWIv3xbq6tkCLZ98n8TzYMIBhnB0GNPA7R7+3tfj+8tPMj9e+59tN/r6zusPZZ5fb6VlU7GNENj2dbW7ByN3ipECCwAAACwN1KptP3hd0tt3domS+hz59Id1tWZsM7ORHe1Qyrb6ml/0fOo9dO48WVuFoayClU4+KBifwUUotfW0hxz7a1iXQX27DObraamzBa/vN0FGMBIRkgBAABGpGBbpGAgoMV4BRTlxQVuuHXusOx098mLFvqDbZP0c7q7rVK6e4Ff29f29F3VDaLqid0t9PcWLATDlNzH51Z9BAMTVUxcddbBPapBdHtHLGmR/DwrjuS7mRuqpNjc1Onuo8AidxD3nqo7AAAAgD0FFPf8cbndfdcSV0WgiolEomcisD8DAlF7p4JIvhUX5bvAIJVOW7Q9ud+DkaCuLr3ulE2YWGLFRQW2cUOLVVUVZ4eFAyMVIQUAABiRgm2RggvvwUoE3eeZ1Q1uhoToflr095UW+ruvlPC3nTh7TPaxa2rbXdVFUUG+zR5X3md1RO7Cf+7f+qq+6KvqQ4/V8/qfg9tPd5exHzyhwr0W/f2UOTWZ27vbQgVDjaC+qj8AAACA3Xnpxe32lz+/avX1Hb0GFAdCaWnEiosjLiTYUdtmiX07+qJflEXotWtwdiKedJ/LVU0Siaj9FDByEVIAAIARKbjw31c1giig8IGE6LuqD17d3uoqLc67/jHbUN/hWiWpMkHtlLIVD9c/ZummTBslVV6oskG0/d1VJ+T+rbfqCn+/1s6EuwpsTW1btrJDr0P7kQ68Tv8aT51T435XIKGqCg3f1n3HVRb32c4pGH70tr8AAADA7jz91EZb8Wq91dd1hBJQKAxQNUdRcb7l5eX1u3pC7aD2R6WFtrl9e4dFInm2aWOrrV/btO+fBBhCCCkAAMCI4RfqFS4oZPCL8mrp1FdgoPZHsUTKPSa37ZIep0HZuiJqVFmhTawusVW17a66QVSpcO29y2xLc9S1WNJ9fWXD7mZT5AYofvh1sHWT/7tClKaOuG1p7sxuOzdU8D8/tarefU2sKrH69lh2+LbaUeVWjOQGN7R8AgAAwEAplHjuuS3261tfspUr6kMJKHZWMKQsmUhbY2O038HD/m4FpeOxek2jfflLj9jsORF7dVmh1ddHrbKy2I44cqIdvmCcFRYW7N+dAAYBQgoAADBi+IV2LcZ3xlPZmREKICR3BoX+trU5M6vBV07osf7+up+24dskSbAVlIIMfa/VffLMzYHwj+2rOiL3b6rG0DBrv23/9+B3VWhoH3JnawSDB/1NAUUilbZtLZnXpP0RVVdsa+7s0cLKH6u6nGNEyycAAAD0x9q1TXbzzxe6QdkbNzaHFlB4sVjKWlo6Q9+PXPFY0hY+v9UWPp+yZ2a02syZo9y+/vPhdXbMcZPtsg8d4UILYDgjpAAAACOGb4PUEo27qgct0edWRgSrBYIhhJ8zoYX83y/cZEdPG91rG6RFGxrd33MX9f3wbIUd/eErGVqjcRdwqJRCFRMKJILhRl9hh6+yCAYmH+zeN1V1qAXV4s0tLqjQ/XwLq9wKD+23Dyt0OqeqDv+8AAAAQG+6uhJ2260vucHQZWWF1tWZmaEWJlVTdHamXIulwRRUaL/q6qJWXl5gWza1WnV1sU2cWGEVlUX21JMbrbKyyC770JFh7yawXxFSAACAEUWVEVq4nzW+Ihs8+LZKWohXCyS/QO8DgGCbqODCf24bJFEIoL8/saouW5WhgCDYPqk/fCWEAoqywgIrjhRYYzTm5l/42RN7amcVnJ3h9+VLF8y3a+9darc+uc7NstCXwg/t7/2fOj27reBrVzCimRoKN7Q/wfkcFx8z1Sbug/cFAAAAw8cri3fY6tUNVlVVZM88vdndps+RWpAPk2ZMpMPeiT7aSrW2Ji0ej9rzz22xPMuzyqoimz5jlD3y8Do77/w5NmFiRdi7Cew3hBQAAGDY6m2uggKE8uKC7IyJ7LDs6x9zMyPmTqzsEQBoG76Fk2jhP1gpEWwBFdx+sEojWO2gSgQt+ufOl8jdb1UwFBbkuWAgnmc2uqzQWjrzXAVEMCQIDrvObWfVV4WIqkAUSmgfVVWieRZ5OcesqCDfFq5vtGOmj3bBSHss6QaDj6sodvvmh27rJO/TRxb2ecwBAAAwMiSTKVuzutGamjrtzttfsRdf3GaxzqTV12tYdir0gEK0D/t7zsRr0dmZdBcRFRdHrKmx02KxBlu1osG+992n7OxzZtlhh42zqQdVueHfwHBCSAEAAIatvuYq6LuveBAtpvuP+bkf94PBg6+8UADg2zbpu/89t1WSf05fxaCF/aVbW91z+EqMvvZ7dW27CymmjCqxytJMCFDbGuuxH7mDrP3zBgeD+9+DszT0WLWe0tBszdIIVnj47caTKTe/4p+v7nDfpaK4wNpjCTdjY/b4cvd4VVJYYtsuxzy4XwAAABjeXl1eZ3/6w3JbvHi7LX1lh23c2GLxeMpVTwymUGAw7UtfEvGUpVNxd2bS1aWLgszuvmOJPfnERps6tcr+7S1z7eJ3H2ZFRQzUxvBBSAEAAIat3LkKwcqCYPCgq/+1DD+5utR9D7ZTCgYPwUX33EAiW5GROy+iu0JD+yAKKMqKMs+7u/32baXUliq3XZR/DoUv2q7aN/lQQvcVf//cIKW3fe/tmAUrKZ5eXe8qOrSNeDLtwhM/p+ON88e7q+T8c+a2zAIAAMDwtmpVg93404VuOPbWLa22oy7qPlNrcX0wVE8MNQpSUu4ioXS2RVUimbLmpi5rb6uzDes1hDxphx0+3up2dNiWLa2uunny5AqbelC1zT9snBUWEmBgaCGkAAAAw1ZvMyUUUGgBXgGFWjcFg4TSwgKrb4/1qHLoNXjo5Xc9h6+Y8H/XbWqVpJMzLeqfMqfGtjV3uoX/4LDt3vZbVHmhEMKHJrn39fM1tE0FCL5iJLfSIhhK5IYdua2ggq2j/EyLS0+YZk+uqrPmaNyqu6s61OpJ+3fnc+vthJqkHXlk5jG6XSHF7l4fAAAAhgctjj9w/2rbvr3NtXRqbOi0ZCJl8dgQKFkYYq204rGkVVWVWd2Odrvum0/Y9BnVrr1Wc3OXCzUUTEyeWmGvf/0Mu/LTJ9js2aPD3m2g3wgpAADAkJa76J47PDrY+sgv3JcU5rvFfbV8Eh8kqK3RrHHlu1QBaJtakNe1TKfOqcluL/h8a2rbbXNz1Baua7RFGxrdfRQaqPJgVFlhtq2SwgRVKPiZEbmL+MHXU1NZ7Pa3t9ZQwTZUChMUImi49ara9t1WeARDCVlT22b5eZmWULlDu59YWedes16H9kUBxOzAwHFXobKu0VpbIvbxQFup1mjctZMKvj5mVQAAAAw/upJ/yZIdVj2q2Nava3afHTs7E2Hv1rCrrOjqTFpDMurmeySTaXdbbW27O4eJRPKsoCDf4vGkbVzfYn/643I3F+S/v/cGGz+hPOzdB/qFkAIAAAxpPnjQgrl+1oK6FtP98OjgEOlgKyPNWmjtTLigQkGC+uXGEr0HB9ru8m2ZVkm+asE/n75rfkQilRkGqLZI2qbuo4qCE2ePyT6vb4U0ZVSpa6G0uratR6smP9zbhwha9FfoofsFW1AFX0uwIkIBhW9h1VvlRe7j9Fwami2+FZT/m45bY0cq+5oVgIwpL+yxbe27qjmmVUfsb69sy875mFRd4tpUBcMehTw6hjoGhBQAAADDQ0c0bl1dCSsszHdX+usr06oI+5LOMzTjI9g+y8/X0G06/gordJ+O9pg98tA6u+uOV+yq/zieIdsYEggpAADAkBYMALS4P7a80FVKqKVSLJnqUUnhF9e1oJ+fl5etQtDfVQmxpTm6y+BshQMKIkaXFbrgYeroUtvUGLXtzV2uRZTmWGg7rZ1pKy3Mt2ljy3apthA9p8ITDZve3BS19liyR6Ahum9uiBCNJ62jKWlf/NPi7H16qx7R/mtWhG9h1ZdgeyodMwUKauEUDBT84294eKU7HgootL9Fkfwe287MukjahuY8u/uFjS6g0D74/Q/e159P9XXKGnxNQtUFAADA4FdZWWylpYXWUN/hAov29hhzKPaTvo5rIpG2aDRh+QV5rtWWMonW1i77+Y0vWFFxgb3nfQusqqr4QO8uMCCEFAAAYFjNnVCgoOqAB5fV2jmHjrejp43uUSXQ1zDsYEsn/Sy+MkOtixR86KIwBRQKFVLptPs9bWn71oULel1gFz+nIvic1967zP2sRX8fkvi/Bysg1DZKlRRqQ6UAwLd9ClZb+N8VsMgTq+qyzyl6TX6WhFpOBWdO+NDEByK+TVUw0NGx+Oa9S91jtK+5x1F9iDWTYuaMg9xVWjpequgIhiqi4EYVGfreG/+a9HiFIgpw9F4SUgAAAAxepaURN8T5X//aZk2NndbeTqunMKgFlD6X6/N4ROctybSbY/HYo+vd949/8ljXEgoYrAgpAADAsBBcVP/4HYvcbQ8vr3VtlXIXvPtqheQHUfuhz1o0V3smLeTnzrjwMyjq2mKu7VFl90DpYIDgtyG3feiEHhUK+c3m5l986YL5fb4mzZlQJYWqNSpLI24BX68vGHj47/qbApbWaMJVeOh3Wbo1E9BsaersMdsit2JD+xlsjRUMMxra4+4YaF9zqzjeOH+8vfjii3bk4RPtgiOmuL8roFArrWBQoWPm54AoOMqtCPH7o/dJ75deC4XpAAAAg5cWv2/8yQu2fl2TFRcXWDQaD3uXRjS1fyqI7PwMXVVdYjNnjrJFC7faq8vrbf5h40LeQ6BvhBQAAGBY0eK3Kig0c6K6NOIW2NPdw7Fz5zr0NYg62PpIoYTCAi2eXxWoRPCL8U0dcdvU1Gn5zZkQIDdAyP1ZVE2g/dGA6d72yS/et3Sf6CmgGBcYoh0MPPxr9q/BPya3GlxVGwpWzrv+sezryH3eYGus3H0PVokEqzh6O/5y5V3/ssaOuPv+o8Cci9yKEA3o1u2qRtHr0mv3baZU+cHAbQAAgMFn5Yp6+81tL9s9f1xuhYUF1tDQaclk2HuFdCpTQVEQKbBZM0dbRWWRda1PElJg0COkAAAAQ1Jvcxn0uxbaNYviR+8+yt1PC94KBDQcWz/3NfdAw7TVwkmzLIIVF2qd5IdmBysR9F3tke58doMVR/JtQnVJj4V0vy+9URCgColo884F+yAfBKiKY25poVuw99vKDTxyHzO2vMi1dlIQoooFtWpStYeo8iOveefrCLa46m2ORm/HXBUamvuhYd7nX/+YnTx7rD24uM7i//inRWMpa+mMW0F+nmtRJfr+n797yS49YZqVFRW44eTB15IbXOSGJzr+uwtFAAAAsP9s3tRizz272V7813a3+D31oCprbIza3+9fbVs2t1pXV9LKygtdqycMjmoKtX0aO1ZVFNUutNCMCg03BwYzQgoAADAk5bZVUlWDFrs1w0EBgCof/ByEk2aPdcGFKgl8K6Sa7soEv/i9cH1m9oPaQ2nxXUvsqjjwrZS0HW37w79+3m1Lt2tRX2vxh0+tdlUAwQqL4L7o8cEFdi3S628axu1Dh9zAILcVU01la/Y5vL7aJdW3x9y+KaRQ6yTtrzaskEDPqfv4x/oARq9PrZ60r8HwJvc4a45Ffp65Qdqa/eGHapvtPPHxAYXnB4RrNoYG/gVbPolet9+n3CCit8oUAAAA7H8vv7TdfvXLF237tnarrCqyzs6E/fme5bajNmpFRQUWieS5Ac1NTZ0Myx5EFEq0tHba//3fShs3rsy14hoztjTs3QJ2i5ACAAAMScHFa1VIqO2SWhppgdzPM1CVgxbQ1fqpsiSS7c+a7mXxW0OhtXheXhTpUTnhWysd9Y0Hstsq7B4619sCuh6jeQxSHClwj9H2NLfCz5/w4cas8RXZagEt0itAEbV2yg0kelukDwYIfj/1PNuaN7kgxLewUpVIJD/PVTPouX3bqOAsC19Jof1QCyaFKAoPTplT4+7jQx9ZU9vmgoeywgIbVVboXqOqSXTsVEmR7L5iq7QwE4poXoceq6Hers1V97wKP6hbLaoUeGjfc1s79TU/BAAAAPuPKiPUzkkBxKGHjbWG+k576okNLrBQ9URHR9x93iOcGJzVFNGOhG2LtVndjnYrLS20xS9vt3PeMMvydbURMAgRUgAAgCHb4il4Jb5OkrQQr7ZOo0oL3TyDL9+z2C2gK7jQfAR9JJ83qbLXmQy6sl+zJ3S1vx9U7YMBLZ53dC/En3ZwTbaSorcF9GALo4nVJdbSmXDP76sHFKhouLVaOQUrJdRCqbR70V+3B19rbmDhKYjQcwXbSmnRXxURwdkSChlUARG8LXf/9Xz6u5+XoeO2bFurqzjxVSfjuqs5glUfp7h2T5ustLTETj14XHa4uO6jY67tB4eD61je+uQ6d5z1PT8vzwoL8ty2FFTUtsZcIMIcCgAAgPC8+OI21+ppzJgSe+qJTbZkyQ4XXARDCQKKwUvvTTyesry8fHcB0c0/X2TJRMrOf/MhNu/QGotEMhddAYMFIQUAABg0ehuSHLwtOGhZV+ErVPBVAPquxX+FC/pdi+htXUkXTARnJKhKoa9tL9va6rZz6KRKu/9Tp2fvo8V0PV5VAb/4wHF7fB2TqkvcdhSUaD8VUKhSQ8/hqyVOHV/TYwFeQUJ9e9xmj6/IzsLY0yyGYCARnMnhKx/03KJqCLWLCh5XhSU6RtrH3LZOep0KKVSBoe2pAkKzLoItmbL3T6etPpq0zrZ2W1PXYV0JtdVqc4/X182Pr3XbDFaRKJjQ/A+dMBUX5bsKDx0jVVhocLneM+ZQAAAAhGfTplZrqI/a2jVN1tzUae1tMUKJIUhBRao9ZtFowlXGLFtWb4fOr7EPfuhIGze+POzdA7IIKQAAwKCRO/9Av/sqgNwqBT/jwAcP+lpd227tsYRbVFcYoBMpVSYoINBtfgC1AgB91za0Lb9ttTjqiGeCDU+L+QooVBmtodp6bF8hil+8X1Xb7io7NDBa8zAWTK12VRT60sBptaby1QY+WFAAoGoKvV7d3p9ZDMFKiuCx85UPavukEEOC1RjBsMQPrNbzaB/0/KLXO3tcuTtuy7e2ZipVWvPd/UX3UzWI0phoIm0VJYXW1t3manNTpx0+pcpVUoiOsw8p/OtRkKH76djqOfQe+dApGKoEKzB82BOszAAAAMC+197WZRs3NltVVUn24hKhxdPQovcqEU9bQSRlzc0x21HbZsuX7bDVqxvtW98+y8aOLQt7FwGHkAIAAAwawYV5LYY/tarenRSp/VIwGPAL+35R2z9OIYMCAC2w+9ZJX75gfo+r8TUUWzMidF+1htKV+7nbDi6OK7DQ9uZNrHRtnrT4HxwuHQwH/GK/ggMt0Gu5PzjDQkGBrwbRgrv2X4HGEyszr0MzHlRNEdwHVUPkVpdowV7zNtz8jbS5RX7NddB+qvphc1PUZtaUucV+3+Ipd8i2D0t0fx/aaHi2Qps548vdvAzdpudx56Fpc22ZFC4ofNGx0/00AWR0Sb7VVBXbdjNr6Ii7+6/Z0e6OXV4v4Y6+NIB8U1Onq7xQBcu4nLZS/tj6uRV6v1SZEQw8AAAAsO+k02lLJFK2dEmzPfJQndXtiLor8KMdcUsld4YUmfuGu68YmGQi7SpiXn6p1r3HqpBZtaLe/uuaM+y006eHvXsAIQUAABictEidCSnMVUf0NUg5uPg+bWyZqxBQ9YAe51snBe+7vr7DnVRpvoRZyvIsz1VL+G1LcHF88qhS29rc6Rb8VQkhqjjwwYQW8rWA/sqmZheAqH3Sty5cYN+8d6kLAVRJ4WdY+PsrlGjsSFl5UYELSfSzaJ8On1rdI/xQ4OGrIfz+uQqQWDLbmqm2pdOFGzpnXLi+0d3/uJmj3WK+XrNen+ZMKFgIhiXavr+/r1DR/vgWUAoWXJBTVGDTu6+yUsCjrWjuhypZdGz0vDs62txMkCmjSjK/t8Uyr3dipW1pirrHraltz86y0P54ur/CD1G40tvrV5WJBqOrkqK39562UAAAAHtn5coGe/rJjfbyy9tt1YoG27yp3vLyiixSmG/tbXHr6kpkQwkNZcbQpPewubnLiooKXCC1bGmdXf25h+y/v/cGO+W0g8LePYxwhBQAAGDQCFYlaCH9g4F5Drn8ArUqArRQruBAA7G1CK7F8+rSwmxrJ7+IrcV6DcAuKypwQ621cK7F/qZozD0u2F7KL46XFOZn5z74kEIzL4JX+0fjmfkLTdFMFYT2vbdFc+2zXk93tbxVlha6+93yxFp324Tqkh5tmbQvqm5QhURwOLaOhyocRpcV2XkLJrrHizarqgUfiuj5vvinxS4s8Ve+KSjQ7b5VlO6vEEHHTLM0FFCIr64QffcDsVWxoSoRPe7p1ZkQyVNlh4IhqW1tcJUsek98CNTYEbPNzVF3gqRAQ1+aFzKuosi1ftKmyrv3NRjq+OcOvge5/14IKQAAAAbuqSc22h2/edmamlUDnLa1a5usszNueXlpS7uq3bTlufIJSieGi3g8c7GT3tatW9vsxp8+b4ctGGejRpWEvWsYwQgpAADAoJE7h0GVALmtfXw4oVBiXV2HW8AXffMzIRQyRLuHNvu/W3cLonT3YroqI0SL7goL9F2hxeTqEnc1v35XBYHur8V77ZOCDLUmUuXE9955hHs+VVzod1VkqPVRMEzI3WeFDq5aobsyQfug0EKDpKtLI25BP0jhi5/roJZOXvC4KEzwg6hFrZ780G/9Tc+nUEYUpGxqirrQQO2VFL4o0Eh3P1dVaaG7n4INPU77q7/51liiNlBqV6U2VrnGlBX1aJXlf9ZboOPqjn1b2rV4SqbTdtrBNS6UUfsqBS16CZoJ0lvQo9fih6YHW2tJbhgFAACAPdu6pdXuvusV99l4/mE19q9F21wwESnIs4aGTuvoSFgkkpdt8YShT5+39aX3NJFIW0tzpy1eXGsv/mubnXHmjLB3DyMYIQUAAAhNbrue3FZO/j5aVNe5ka7y91fPK0gYo0HTbTHXekgL4MGB02qpJLrSX4vtar+kxXGJJVLuvlq094OYz7v+MbPmThdYaDaCgg5VUWixXtUXCiNcqyjbuZCufb2veztq1aSwQFf75+6/X/SfPb7cfQVfiyoYtI8KU/z8Cc2JUAig4MFft9YaTfR6zHYOom63Lc3RHkO/fbWEXqMqEDRLwg8GDw7dfmVTi9uH7c2ZWRu+7ZOe99VAeyfXqmpVnZtN0ZVIW2VJxG1Lcyj0fWJ1cY+5Fwp1dMz8cdfxycyxyAQXvtrDBzWlhfkuvOltWHhwaLo/9v6rtwADAAAAu7do4Varq+uwww4f535fu7bRmpo6LZVKWiyWdIvZ8TgVFMNVcXGBq6qo29Fhzz27mZACoSKkAAAAB4QWo+98br2dUJO0I4/ctV2P/90vvgerD5ZvzSyUa9HbtyPS/bT4rwVwfaniQGGGqgj8YGYt9CtoUIWEhlfriiEFALPGlbuZCH4Qsxbw3cL9xErXyknP7QMCLchrYVz3C85n0HaO+sYD1tqZCQ+0D5qboAoPPd4vlGuf1G5J1QyqlPCv2b9WPxxcMyX0HKpuiCdT7oo2tUPSwv+WZrVCSrvFeF9BIsGFeh/m+GOt2zSYWyGIvvvKi+DAb9/GqiuRKfnW9x6zM1bVuQoIRQp6/tueXu8CnsmjSlxbJz9fI5FIWNLyXWsqHWvtoyo13PyKtLmWTtZ9LLU/qjqpLM18DNV++GN46QnT+hyKrQBHzz2+MlOtEQxrtB86jtqODzAAAACwe+vXN1txccS1c9q2tc2aGjrdlSSFRfnW1p75fIbhyRVh56miIs/y8/Ns5Yr6QGsv4MAjpAAAAAeEW5xf12itLRH7eC/tnRRAaFFboYRv26TFfC3867OyK00OLMxrkVoL/74SIVNtEM/OUlAbox+9+yi3cK+QQw6dWJkdCq0WQwoFNFtBYYcWuFUZoIV5hQLapoKHqaNKbdb48l1mI2geg0IOBQmegobm6M6Fcu2jbzGlAdeiGRp+xoQW3v0C/sSqEjdfQoGCFvv13Fq0V4DiwxpfQaKh2LnVBsFjpu+iKga9Dn3XvgQFj732xc/+CFYnrK5tdxUVmt+higo/f8LP+7j1yXXZMCcvL+lmc7jy8cBAcc2l0Gvc0BC1VCwzu8NpMvv0b1+0mooiV4WiAEivva+2TX5YuIZni69O8VSJoRAkNyQCAABA7zRAOdnd0nPjhkxgkUjErLUlbqmdH7MwTCUTmVCiorLIOjuT1tLSZdXuAiXgwCOkAAAAB4QWnnV1jiop/vbKNvvtwk3uNj8o2lcBpHMW0bWor4VvVTAEZzZoIb6hPe7aEGlgdVlhgaum8G1/tIDtWx1p0V+/q42TX7z2cx383AZRUBFLdLjqgR1tMXflvq741z5q4VvhhEIMVTKMLS+yokjCyositq2l01U+BF+r30dtQzTvQb9r9oPuqcHXWtTXwxRgPHH1WS44WbG9zd3/kAkV2UHR2p6OjwIKzbHIbSnlA5epo0td5YgCAj2XFv4Voijw0KK+wgZfhZE78yF3KLWeUyGDqkB0XFSJUlFcYOOrMsO1tT3/mpWz+JkcumXyqFK3PT2/WmUpSJLMkdhJ+6WB2WPKCq0oYu5+arOloEGhlbbl33MdZx1LvZ/B6gu9Vr/ffug51RQAAAB7Nn/+OPvnI+stGo1bQ0PUDU6ur49aLEaLp5EgkUhZeUXEpk6tssrKokx1BTBUQopYLGYdHR02atSoXf6WSqVs27ZtNnny5H21fwAAYJjQovEb54+3F1980X74wkZ7YV1T9nZRmyWFCfoepMVvVVKMLityi89/WLTJFq5vdBUQqijQQrrWyjsTKXc1va7810K2u/K+K+kWy7914QK36N3bVfZajNftqsJQyKGFdQ2HPm9BprpgyqhSF2T4BfBgJUOwLZXaP2m/FBRoAV9VEr6aQPvu21TpudRqSov3foFfFSF+NoNv86QFe1WWKKTRffVaTpw9xr0e3yLLvw49TvvuwwBVJPjn81USerwqHPy+6/kUbuhxqmRQ0KPnuvbeZdbYEXNVHApPVL2gfdKX2mSpnZYeW94dGsyqKbd1da02o6bSFm9pcc+pKhO1xPKtskaVFllTNOZep58fon1REKSgQs8dyc93A8rVRkrzNTTgW3QsFVBtbu50QZQCCX35IErHw80UCbwXvc20AA40zpsAAIPdEUdNsEPmjrFlS+tcRUV7R9wSagPqh6JhWNMFZJMmVdr4CeU2Y+Yoq6oqDnuXMIL1O6RobW21r3zlK/bggw9aMpm0uXPn2uc//3k76aSTsvdpaGiws88+25YtW7a/9hcAAAwDlxx7kCst1gK6b++jxWY/I0F866IZNWU2r7TSVu9ot81NURdYKJRQIKDwYU1tpvJAC+ibGqPZQdhayFb1gcIFBQaqYPBDl/32fdCgn9XaSIvqGuzs209p0V8L7nq+GTnhRG9DrOWwr/7NLez/4vG1blE+My8j5vZFVQH68ttWALOjrcu1l9JtPlzRdwUN2mcNBtc2FGYoCNnSFHX7ElyI94/T+aQW/IPnlH5RX/vpW1X517+pqdP9rIoOUdWEb8ek7anyIq/7Pq5nbfc2ta8a0j1vYqWNKi+02Pa0bWyKZltfKZTxgY6qV3pr36SARNUk8e73U22jFFKpNZWOi6fXo6oJXdmlffPHW4GGXmfwOPQ2eB040DhvAgAMFeXlRfbhjxxtN/18oS1fVudaPiUSpBMjrd2XLvQ6/fTpbjYFMOhDim9961u2ZcsWu/32213Sdtttt9nll19uX/ziF+29731v9n76GwAAwO6ce/hEu+CIKXbe9Y+5WQe6gl/tkLSoHZyV4L9rYXpZ9/Dsgrw8Ky3Mz7b90RwILdoroPBX1nu+zZMPKFRl4benQcv6+uCGxmxrIy2Ca5FcoYa+62ONqglUWdHbQrsPUhSE+MVzLdC3x6JuX7U9fdZXJYT2/z9/95KrWmjorl5QsKLgRfdNB1pQBQOQVzY1u5BCC/kaBC6anRHkH+fbPqkaJbhvPigIDirX7wp4VM1QXhSxCdXF3UPDt7ngRKcordGEzZuUGSau4+orMIKzLk6ePdZaW1rt2IMn21Or693rCN7fVzjovdY2fYWH5lkEW2QlU2l3XHa2j+qmwdsFee7vCn2C80sUkuRWUBBSIGycNwEAhpJmXSSyrslisUR2PgVGhi6dJ21psw988Ag7/sQpYe8ORrh+hxT//Oc/7Ze//KUdeuih7vejjjrKffC+9tprLZFI2GWXXeZuZwo8AADoL1dJnjYXIuxojbmZB1fe9S879J+rbHR5UY9FZ7VJ0hBqtRiaNrYsuyivcMHdnky5banaQLSQrcoALWyrNZQqL/xgaFFAoUVyLZar0kDtiZZubXXBgrvCP5l2Q591f1U1fPPepW6bfpHdVyb4ffOL/1+64FB3P1V+KFzQPmlwtJ5LYYWvWtDfFAJo/xRsaGE/ODTaf5367Yezi/d+UV9VGGqDJMFFee2n/qbvml2hlkgKavxAcn+b9js4IFv7Pq6yOBt2KFBQqKJWUKpi8QPD9Zr1Wv2sC33X375y+hg78sh59m8/ftKFTnpf7/vU6dn90uM0vFx7/8k7F9nk6tLs+6+Pjn7ehWaM6Pez5o1375dei67s0nwOXyUjPkDS34OtuHKPBxAGzpsAAEOBwvJHHl5n/33dk7Z6daO7ql7/10SGPnJk3u+0TZ9eTRUFBuTtb3+7XXfdda5i+ICHFPn5mRP+IF0JpA/X11xzjRUUFNh55523z3YMAAAMf34As9r5qMpBrX20Dr94c0s2bMhdsNesAi3ui4ZY+/ZEnha3RQvYOsdSxYJaNul+tz293j1GcyYUHOjqfLUZ0j5oAdwHC/rSwrj2zy2wb2t1+6UwRcHItpau7PNpALW7rXlTNrRQ5YICgVueWOseZ937IROqit2Cu+Y0aCh3fXvMZo0v73XWhLartkq5dPKoAEHzI4KL8v6cUq/dz6FQCyv/t2BLLVUfqAWVZnEEK1iC4YHeA83PUCsshUEKWBQwzB5f7t4D7b9ad1lim113//LscVKIEJz9EaxU0d99qyjdT7cpqPnm2xZkgx+FLJpDoUBKQYivktFr0t98gFRdWuiOWWlhgcWTqey/GSBMnDcBAIaCxS/X2q9vfclqa9tt4sRya2rqckFFZ2fPz9YY3uLxpG3cmJkrB/RXbW2t+0y7L/U7pDjjjDPsq1/9qvuaN2+eFRYWutvf8573WGdnpytrXrp06T7dOQAAMLz87ZVtdvNjDXbs1uW2orbNLUhrtkB5USZQ0EJzW1fmxEjhgRa2tVDvWyD5ZXhVJOgK+tqWzh4L6woeFDZogVxVFFpo1yK4QgfRd13pv3J7m6tK0EJ4USQ/2yZq9rhyV02h8EJBg19k15X6WviPxlLZOQ6qJPDtj7R4rqBF3/+4aJNrQaXhzwoiGjpi7v56baL7FUcK7PCpVdkWTMGAQAvtR33jgeycCS3q67VpPwvz89wR0OvQ/mux34cB+q776Xjqtes+agul7fjWS55/Xh0LyQwK3zlnQ89x6MRK910BhQIkBQnR5qSlLTM7QsdMIcXdL2y0E2qS9vuXMrM7/HFWayuFIL71k1pbvbK5xW1T1RH6rgoSs1i2wkVf51//mHsP9FrUakoVHsHh33qcD0laoplWXwpSdDx8QAWEifMmAMBgp6vnn3hsgzU3dVokkm8lJRHr7Gx3P5sRUowUuvAplTJbtYrP0BiYt73tbfbhD3/Y3vKWt9iUKVOsuLh4l7/vt5Di6quvdh+03/3ud9uNN95op556avZv6rE6ZswYd2UQAABAUHBegBa0l9XFbF3rZuuKp1zrIS08J1KZmQsKFRQc6Ip9hRQKGHw7Ji1gV5YWWn5zp3Ulku4K+mBVsgKKD54ywwUaCjC0UK75FdqeDykULKiiYWxFkW1p6rSTZo+1dxw9NdOeqbbNDWyeOqrEPY9f1A8OY1Z44B06qdJVYGj7eg3aX1WC+HIGDctWW6qmaMxVT+iqf/1JVRxaTPctl0TPr79pqLa2qSoJLcqrTZXmUJQoSIkl3ZBpLfD7KhCdWOix2o6f06CqAv969fhgqya9JlV+eHrNChweW1FnR3/jAbv2wkw1w7q6juyQcL9vPmxQ+KL906FX2LN8a9o21kbsoqOn2h8Wbbapo0tdqyjtr0IQbV/VGwppfGWLAg+FDKoi0fP4EEqBlF6D6D46HsFKET9vQ/vhA5ZTx1e42/zAcSBsnDcBAAa7aDRhr75ab6PHlNrWLa3W3h63aDRunZ2ZamWMDDqXyMtL25ZNLdbU1GmjRpWEvUsYIu677z5XPfzXv/51l7+peni/hhSVlZX2gx/8wKLRaK8lzBdeeKGdddZZ9uSTTw54JwAAwPAVHNas1kB+yLKvpNDiclNHZlG9rLDALj1hmluEVkWBHxSthXJ96cp5tRvqiCXcQrxChi1NUdc2SC2A1MpJAYW2qyoMVVxosbusKOJCAy2QK0iob4u5OQiaY6FFcN/SSU49uCa7OP+lPy12z6N9UlBS1t2CSM+rfdPV+/r9xNlj3IK/2kGpDZEW47VgrsfkDnTW/gVbLimUUOWDHqPn9BUUvgJC++kHa7urnbobBauyQvumCg8/zNoP+lZAoOBEYUhnIAzSd8/P7PDzETX3IljV4b/7lkya+6FKE1VSSDowI2Nza8KOOmiUffnNh7nXpyClvCjfhTQ+VND7qbZbeowbYl5UYCWF+dkWWeIrRxQm6Zhrf4J/8xUv2jdVt+jZ/bH1xzrYZgoIA+dNAIDBLuU+w6WtqLjAWltj1tLaZdGOhCUSDKQYaQqLCly7p+3b2ggp0G8PP/yw7Wv9Dilk48aN9sgjj7iSZV0RdNBBB/X4e3V1tZ1//vn7eh8BAMAQFlz0fuP88TYxsc0NWX5gaa1bVNbV/lq81uL+ly+Yb4s2NLrFdC3Sz6wpd4vTCie2NHdmh1CrikBVFwoZNKDZV2to4VqBiL67odXdraEOn1ptz6zusmg8nl3IV4sj365J91ebJFU7+FZIqgbwp2mq5lAAosHOai/kF9tVyaHFdFUC+H3Qort+1vDttXXt7vF/WLQpO/dCf9fr06K9n8fhhxQqKNEsi291VzT4BXzd9/GVdS4Q8TRoWtUJ2mfd189p8FUJuk2PU1DhB4frufSceq3+9WlkRar7mATDFH88OwKDvrV/miWhcEPH1R+feMrsx4+scnMpdrTFbHxlUWYAd6CFlLan4eSruttH6bEKWHRc/d/9fqoaQ8c8yAUbxQU99lHtpBS2+P3NnekBhIXzJgDAYFZeXmjTpo2y3/3vEncBTFJzwPSBDiNOeVmhtbXFbMvWNps7rybs3cEQ0traan/5y19s3bp19vGPf9xeeuklmzNnzi6fe/d5SPHoo4/aJz/5yWyPqW9/+9tuijcfrgEAwO4E2yUlkzt73PpFZV1Nr0Xy2d1zETTLQFfua5FfV+JrIVsVDH7QslpBaVFfFRXBOQuiBf6aylZ7ZVNz9ip/La5rsf+pVfXud22rqrQw2wJJC/Fr6zpc+KA5FKLtPrumIds2SdvSgGm1JnIL993DukeVFrpBzqd8+yEXFmjQthbO/dyKB5fVuiBDAYT25hePr81WQOhvouqOD540wy3K63kUyvgh2jtau9xMhuVbW7L74o2vKrHDplTvMmtCIU+wEkOVFApzFHzo2KpVk/bf70dJd/WKwgIt+OvxGjCuv1UURVzQoVCoqiTiKlL0OlRJ4kMPF9a4Z8/Lvm69f8GAQsGIQgbNkpgzXtUY5to96bhonoSOmW8x9a+vvtG11dJ2VVHhKzCCwYfaQvmh5Go75QMdhT/BygwgDJw3AQAGO7VjmTK10pqbu1xA0d5Om6eRSgFFdXWJq94G+mvFihX2gQ98wCZNmuR+fv/7328PPPCAfeYzn7Gf//zndvzxx9t+Cyn0BOqr+vnPf94ikYj9z//8j/33f/83H7YBAMAe+SvlLz5mqq3d1Gk/fPF5mzexyv1Ni8rBwc6+XZEPBrSgrSv3VWUhfsF71vjy7MBof5to5sLcL9+ffW6FAAo8REGCqggUSmxt3uQW8BVOaHFcsxY050AhhKoztHCu311bqETKVQhUlna59kUKS7TQ76sLtFiuVk96jBbdc6n6Q6/HD70OUgCgoKOqRK87YeVFkexCu68MCc7e0M8aiL1ztkWja3WkQEMhg2/PpKBCwYRu13ZElQwaSq19ULulSJGqMTLBiMIg0evw+9gRz5yw6vWpTZa+Uk3mWj/5qpb8/DwryU9bS2fcxpQVuseqIkIDsPV6tet6bwoLNPEjE9YokCgtzLSx0r5qtoXeJ/+6FbDoPdO/BQUU7d2hiqidlFp5+SHdul2vUV++jRYQJs6bAABDQWFhgVk6Zdu37/rZFSNHZ2fKKiqLraR0QM12MMJ985vfdJ93r7rqKjvqqKPcbbooR7PX9Ln397///YC32e9/gUuWLHFPog/a8u///u920003WUNDg9sBAACAvviqiXRaQ5bbbENLwuraYnb/p07vcT8FDhpaXdwWc4vd21q63MK2ftY2/NDn4OwE/awFdi1aL1rX5KoatPAvfgZFurvqQYv24udbTKwuyS72+xwg3b0fouoNVWdowVwL5cu3trrKhu+984jsNkZbZgaFluAVUGhf9byqAlDFgaoYtPh+3+Kttrm70kB/EwUXWuhftq3VLforOKht7coGDP716fF+HxSaKGjxi/e+FZUfJD2qtCgbFPh5Gzr2+q7XohBDz+v3UxUK2ntVmCjEmTyq1M3b0DE8bHKVNbbHXIWEDwXEP1bf9VJaEmZt8U53vMTvm+jv2mc954ruMGJmTZnbD09/S8SS2dZPChpURZMJMwqyr8e/ljHlhe4x/n1eXdvuKjT8sG8gTJw3AQCGgqVLam3HDgIKmCUSSZtzMJ9R0H+LFy92QUWuSy65xO644w7bG/2u5enq6rLS0tLs7+Xl5e739vZMr2UAAIC+aJFdi9VLNre4IctakFe7H10Vr9Y9+u6rLbQw7Wkh2i+O+6vstfCusMK3E9Lt/j5tsYQLAvy8iNMOrrG5EyttdGmRq4ZQKyM9Tm2d6tvjLnBQQKEWSK4t1MRKt19qi6Sr+1VVoCoFLZiLnkbth4Lb0GyLJ68+21V2qCpBNCtCAcUvPnCc21e1KVI7K7WpkolVJXbIhAo7dFKlvf+k6W5guKiVlUIN7Y+qMvxrFd9iSrTYr999sKLv2neFBAob1FtYA8VFi/Z+8V6L/zpWs8aVu2oM7a/ChPr2mNs/VZDo+f1wblVMaF92R9sriWTeBz1KlSXBfdXfdWz15cMRHTu1mFIoo+oLBRc6Nr51k4II/az9LivKtJtS8KHn0G2qqjlh1hi3n9pfPVahh/7OPAqEjfMmAMBg19ERt6ef2mSxGIOyYa7tV3V1pk0l0B+68Gbt2rW73L5o0SIbO3as7Q1qeQAAwH6nxXEthvur67UorSX/x1fU2RMr6yySn7luwl8Fv6a2LTvfQIvV+Xl5Pdr4+EDDL7yrMsHPoPAthfSrhk3PHlduXYlktupAoUNwmLfaJfkZDrqSf1P34r626QdN6yp+DZoWhRr+sb6VkvbHz0RQayo9/8PLa7Mtj64662B3f7WU2tHW5b5UMaEZDXpOzeVQQBGsVvAhjh6n/UsHBmYrHBEt8h8zI/N6fOurK+/6l9vOtubOXWaCeMEqFD9c24dA+pte0+od7T3eLx0P/7t+HldRlH2PplRErKayyIojBa6aRAO8x5QX2ZItLe7v2h+FRnoftS29v3oOVaT4/VYoI34/9F3HRm22/AB0X2HiX4+Ov95vv6+qNvGDwwEAANC7xS9td0EFIE2NnfaPB9bYG980O+xdwRDxkY98xL785S/bxz72Mdct4ZlnnrE//elP9qtf/crNpdjvIcW2bdvclUFB27dvt4KCzNV/3uTJk/dqZwAAwPCjBWi/mBy8VkttndJa5Fabo+KC7EK7X7T+9G9fdFfdqx2SWvlo0dov2vur7cWHAwoSVD2g1k/bW7qyV+2rlVJBdwmDrrzXYrgqKILP5xe2FSrorqpsUCWE2h4pqNAivm/RpDDD04J8RzxpX75nsas48IvxumdZYcTNf/DVAaqI0PctzdHsPAfN3NjS3LOVkowpK7LK0kj2NfoZDQozNHfBL/irGiG4KK/tBweG6ziqLZVu0SwNP/vDL/Lru46ptnn/4m3ZsEYVFad+++FsYKOgR0PBP3nnIrevChr0vP73tU0J29ze6Foz+SHoovBJx9O3vlK7rM1NURco5DV3uv0VP8tD+6yKCFWuKMTQ/dPBkKQrmX2MvvvXtK25y7oSMTfDAhgMOG8CAAxm27a1WVl5oen/lpI7C2AxQimw+syn/m4f/NCR9u73LLDJUzIXDQF9UVun8ePH2y233GIlJSWu1enMmTNdC6i9ncM2oJDioosu6vG7kpL3vve9ltd94q/f9fOyZcv2amcAAMDw41s4TR5VYluaOrNBhRaYRZ8iNCtBi+nfvHepm4ugBXEtjGuRX61+1B5Ii9HPrG5wgYQPCnxgoUV2BRRqz6SFbC1qJ2NJFwQomNDCvZ5H29Z3Lf7ran5VSWhbfqFfz+sX9ZdvbXHPrfZJuo+e31/d7yskdHW/vvvKBtEivSocOhPJ7GBn7acPayZXl2TbS+m7ZkhoYLaey+1nntnhU6uyr82HCtpHBQo6BgoDtJCvqhBP21elhhbzC7pDAb0+zeTI627dpOfUfYKVFXpNGkSt8ECvRUGFnkshSV6Tudev90dBgkIAHWuFI9qGZmOovZb2eebYcjv14J1BiFprPbWq3pLJtMXzzLVl0uv077/2SVUcaq0VrNDQMdV8DbWv0nPrd7WnUjWKn8/hA6xn1zS4wEdDudU6S/cBBgPOmwAAg1lBQb5VVxVb9ahia6jvGapj5EmlzLZsabUf/+h5e/65Lfa5q0+xY46lhSr69vzzz9vpp59uZ511Vo/bY7GYPfjgg3bOOefYfgspHnrooQFvHAAAINhaaeH6BtdySQvyWsxWUKEKgdU71ruZEVrA1qK3FsS14HztvcussSPmFqa1IK/FdC3s6zFaKNff1TppXEWxe6wCClVlqKpCMwxcVUHKrLQw3y3q+0VsLXZrgVsL3bktgnzQobVEPxA72A5KbZ/0t0M1A2JSZXbx39MSpF90F4UtrmLj+sdcZYAW3rXv2qaepyii+Rl5FonkueHRfvHeL8j7ygGp624RJQp+9DcfOPgqDTl5VmZgt7avqhCFC35ot46nb5el7Ws/fNgimlWhMCQYIgUHcyuI8Mfr0ElVbrvdIyx6VGpo+669U1Hm2Ou5lmxu7m7ftbMdlz92uu2MueNc2ORbZCno0P75fRFVfASPt95vvU5Vx/gqnGC4AxxonDcBAAY7DUkuKy+yI4+cZA8/tC7s3cEgkIinLZVM2dKlO+wnNzxn3/rO2TZxUqY6GsNTV1eXff3rX7cHHnjAVUN86EMfcl/98f73v9+efPJJN5siaOXKla7d08svv7z/QoopU6bs8T4vvfSS6z/1X//1XwPeEQAAMDwFZyLc+dx6t8BfURJxi8i60t8v6GuR2i92q/WPVJVG3ML7k6vqelQN+PkSvrWRFt6/dMGh2cVpfdeMB/11VGlhjzkGWsSW8qJIjxZBul37o/ZOqsTw1Rcd8YSlYpkKA1UOOGlzbaW0SK/Fe91vyqhSt78aHK3XodejQdaqQtCiv2ZMuCAllnSvR/vkgwJfpeGDC7WXUsWCqkb03VtV2+4W5TOVJHUutNDgcf94/a7n8JUMCmL8MfJVJWoZpeoFLfSr0kEUnPiZGKp2UfskBULiW24pcBBVoOhY6Xj6+RyZP6VdhYr2QSGTXq8CFR8M+eoHiRTkuxBFwZR/79UaSrf5ahZtwwU+XZlZFApKFMx0d91y3zV0XP8u/PsuwVZghBQIA+dNAIDB7uBDxtgRR06wB/62JuxdwSDSEY3bmDGltmJlvb3w/BZ781sOCXuXsB+pRdMrr7xiv/71r23Lli32+c9/3rUiPffcc3u9/5133mnf+MY3XDWwqoJPOeWUXu938sknhzM4W/1W//znP9s999zjpnqPGzeOD9sAAGAXWtiua43Z1MqIfe78w9xted1fCgre0V2poIAinky7hWrNJ9CCf7p78Vm3q5WSaMHbz7nwQYNfINeV934OhkICPVaL9lrM133W1nXYjJqybFsl0X0UUIgGQHd0xNzivKidkIIBLYj79kSqIPDVCbqbAgo/sDvzmHw320EBhRbN9XzFbfluv1dsb8vuZ7D6QNv3C/wTqyM9/i4KLbRor9tUOaDtbm3elA0ytMCvllnaRwUtPhRQ9cnJc8Zm5jx0hyiSqRSx7nkRLe5++llVKMHwKJHYOTRDMzR8BYeOye8WbrI51XnWns5zr1HhjW8Bddr4muzci2D1g6jCQ7dpP0eXFVna0tn3z1dtKBRSsKL3ZVK12XEzR2dDndzZGv7fmEIU7bOqUYKDywksEDbOmwAAg6nd0/s+cIQ98tA6i+jinJzPaRiZYl0pa27uchcSLVu2g5BiGOvo6LDf/e53dvPNN9thhx3mvlQFcccdd/QZUlx66aV28MEHWyqVsg984AN2ww03WHV1dfbvCi9KS0vtkEMOOXAhRWdnp/397393H7CfffZZl54ce+yx9qlPfWqvek4BAIDhT6GDFpenVWU+fvjFfh80aIFebYR8ux6FDAolRpUV9pg14KsE/CBpLbjvaIu5K/V1Jb42tq2501UqiKvW6EpmqxLGlBe6x6nywd0/sF1VD2ifVJkhvgrBfw/ylR8+JFHwMVNBRHc4oBZUfg6FbvcVApqzoe2p9ZP2M1gp4Vs71bfH3EyIYEChv6mNlaoXfPsrLeq3ROM2sbrE3U8L/D44UQsn0fH1A7aDg7RXbm9z+6GffeWG9lPHRKFBeyzTOkqL/Z2BE1eFL7pNwYP2Y8GUKlu+udHqozFXOaK5H6rGUAgRbPWl8EDvk+i4qQWUHxze1dLpjptabWlmh7bjAxQNQRcFRnoP9dyifwO+2kJBlI6VjrVrP2VmDy+vdc+jsCTYFgs4kDhvAgAMVqNHl9jESeVWWhaxjvYYA7ThPju3t8etsythK1c0ZGdoYfhZvny5JRIJO+qoo7K3HXPMMXbjjTe6ECI/P3POleu4447LtjdV1UXw30dDQ4ONHj16r//NDCikeO6551xZsnpVRaNRO/LII+1zn/ucfe9737Ovfe1rNmfOnL3aCQAAMPwFl/nvfmGjdcR3ngnpCn6FFlp41swBhQQaluznSwQXo7XgrAVvhQnaRkFeXjZE0EJ3PJlyV/MrnNCV+H6+hBbtx1UUuaVvDZPWIrZaGGnhW7SI7UOEdPcQZ13F7/MJtRzSQriCE4USqiLw7ZnGV5Vkwxa1IPLtl3xAorZH2m/tv6pDtO8aqF1eFLGyop0VBGpnpKBAFQO6zQ8KVzsmLfzndbdF0vYVUvj5GbPGV/Rok6UARW2u9Do1gNrPkPCttxRWXHnXv7L31dwNfVfgobBFQY4qVhQQ6TmCFGL889Ud7tgp1PFhiOjxlaWFNmVUiVWVZqpbgs8rwZkROj46vnpuHdOOZgVEcbe/fj/170Lv85ItLe6+Pnx4YmVdNoTQPvqQRcdKx9cPMFcY4sMS4EDhvAkAMNjFYknbtKnVYl1JKyjIs2Ry14tyMLJoXVr/FgoLC2zzplZbumSHHXb4+LB3CwPU1tZmBQWZ7gNSVFTkvoJ27NjhAoXg7TU1NW5ORVNT0y6zJnJFIhE3e+KjH/2ozZo1yy6//HJbuHChTZw40X72s5/ZvHnz9l9IoWndLS0tdsIJJ9jVV19tZ555ptt50YdtAACA3VE1hGZSnFCTtJkzDrL6tphb1NfCtq5+12K3Fv21SC2LN7e478HhygoQFB4ojFAooKv1fXuiTMunPNvUlKkAUIugidVmJ84ek62Q2NbSZROrirMVEFoc1yK/v9Je1Q6+3ZLuoQV3PZ8WyP1Aaz8Twi/8a59VlaFqBBeI6ANeZbHdt3irNXXEXRih8GB1bbu7vx+aXV4UsdrWLkukUq6aYEp1qQsnfBsjPyND2/RDxbXfaj21urYtO+NBC/F+Dod+12tSOHP+gkk9KjGCdF8NL7fubTZ0V44olNA+aMC1jpcqKg6bXJV9L3wIpPBGA7b1GnzFhZ5XlRI6xlLbGnODzfUagsfLUyClfffh0bxJVe6x+l0Bygc3NLrH+PZPeq9V0VESKbC2WMK9gTq2omPuq1XEh1r6nQoKHGicNwEAhoJnn9lkba0xtzDd1UVAgUzbWrX+mjZ9lJWXF9kzT28mpBiCXv/617uLZLwrrrjCrrzyyh730d9zgwv/eyyWOTfcHbUsVcuoUaNG2R//+EdbsWKF3X333faXv/zFrrnmGtc2ar9WUhQXF7ukRKlKf3YYAADA02LxG+ePt5/99RlXSeEXkD/86+fdlfC6Al5fWuyub88EFZLKabWkqomqSL5bUFdroZk15e7qfgUIuspetECtRXQ/i0DDpTVoW7Q1LY5rAf68BROzC/kKBfzitpogaZ/mlhba6PLMhzWFJ76CQI8RfVeIoNv9Ir4qJTTgWmGCNqZFfRWN6HF+noKu+tfMifZYwho7/NyImL37uEN3mbPgh2tr2LY/Elq0Dx4WLfir1ZFaIml+hKou9Dy3feiEXt8L337Jt0byalu6XLCiIdqyraXT7aOCGh1PhR9+eLdvp/WlPy22ho642x+FKX6Oh+6zo63LBSdqzSX67lpMpXfO11DgoXBiW0vmGGp/dB8FOQop9B7qfVHQo2N40NhSdz+1itJ7olBD73+6l6oNL1i9QWiBA4HzJgDAYKY2Pr+9a4nV1XW41iwpRlKg+xxKlRSTJlfY+All9upyVS7T8mmoefTRR3eppOjts2ruZ1T/e0lJyR6f45lnnnHhxKRJk+zBBx+0s88+24444ghXgfHmN795r/a73yHFww8/bC+++KL99a9/df2prr32Wps7d262lyr/YAEAQG+CC8QKKR5c02FL6+L2SvfV+apA0AK3Fpv1pfZEbz96qlvQ1gDrpuiuC3xaFC9PpKyhPZ4dHJ25wj9zRb9mGvgQRM+vBfsPnjLDfdfivBbhp5VGXMsktZdSVYIqC4Jto/xCuD7hjCotcvvhKwgUiBz21b+52Rb6CJRIpjMtlsoKbUdrLFttcdvT67MDvvPz83pUNvjgQcGMggE/LDy4mB4MKnyVgO6jsCDqZmfEXcXDLU+sdQv42j9vTW27C2c0jFyvQ+2X/DHRl7bp51do/xRExFNpiwfaN4n2TcGDAojJo0pdlUhwsf8Lf1qcva9eiypF/OtUJYUqWxQIudZY3dsOtsvyw8pFx9bP3dB3zb3QdjQkXJUoOq4+eDrv+sfc/quaQvserIjJpds1ZFwIKbC/cd4EABjsXn213p55apMbmj15SqWtX9ds8cCcNIw8ZWX6t1BtxSURq9vR4WaWVFUV87llCKqoqOgRUvRmwoQJ1tjY6OZS6MIa3wJKAUVVVdUen0Mhhy7GaW5udnPXvv/977vbN23a1GOY9n6rpFAvVX196UtfcomJPnj/5je/sWQyaVdddZW9853vtLe85S177FsFAABGjuACsUKKc2aV2brW9uyishajVYmgBX+FFPoYrPBAC92ay+BbESkEuPzUmS68cPMoXDuiQrcwrkV7LaCrNZRo9kNwgV/Pr22luwcxK4vQ4GpfBZBLQ69njS93j9GMBu2bZkGoOqK8KOIqNrQN7YcPNJQPqLJDYYB/Db/qrt4QBQgKN3xIoAV4bdu3ePLDwnMX079571K3GK8WT5odoUX/qaNK7fCp1fb4iszrzWQrCkoysyUUuGxuirrqEf3s/tzU6eY7eHouzY5QiyYFEApRfHnGmLJCt/1XNjW746Nt6LWqrdYxM0Znt6EQRO+DjkBhJN8FFP69ky9dcGg2dPnDok3uuGlWxrUXLnCvT/f1lSJ+joe+q0pDYczybZl/Az6g8QGPjp1acumcafa4cvd3/zy9BWTabvDxwP7GeRMAYDBb+PxWi8VTVllZ6OYPlJUVWmtrFxUVI1RevtmEiZU2YWKFq5zYUdthmza22rnnMUNruDr00ENdOKELa4499lh3m2ZKLFiwoM+h2UG6+ObTn/60CzUUSpxxxhl233332be+9S278MIL939I4SlFO+mkk9yXelA99thjbkeuv/56l5wsXrzzijoAADByaZFYi8wzanYOLz5paonNnDHDfvLP1W6hXFf5awFfC/xHTx+9y8DpseWFrmLgrHnjXfsfLWxrZoGqHrSA3taVdMGAWv64K+pjSRdkqILAD9vW86ze0Z6dbSFajtdg6Vx6jNpA6XnUZkizDrSNTBVGe3bmRZAW+xUgpLsfr5ZIeg2+rsG3MFKFgD8u2ie9Nh0f366ptqXThQx+UV3q2mI9vovaKCkA8LM2REGNjoMW7xVL6P6+/ZIPKnRfBRUaJu0rE9T6SsdF99W+K/jxIcKp337YHWPtU0lhZpC2hnnreRUirNje5l6XHqfAQMdIXwpaFKoowJg6utQdi0wrrzxr6Uy41+vDmuBAbf+++2Om4Efts8S3rlJAoe3r39Sp42uyVR3aph6v737+RTAg66v1FbA/cd4EABiMliyptSlTK612e7tVVhZbSWmBNTeHvVcITdqspTlmk6dkPn93tMdt2rRCO/GkqWHvGfaT0tJSe9vb3uY+nypYqK2ttV/+8pd23XXX9evxetztt99umzdvtosvvjjbPupjH/uYvec97zlwIUVQYWGh6zulr87OTlfeDAAA4BeJfbWAFpJ1FbGnmQ9u0HT3Bfyd3XMQtFitFkNa1D51To0LHPRhednWlmz7H7VuUpWAwg03SHpHe3aodmbeRKGrlHAL3aqMqCx2V+WLKh/8wryGbm9pirqFcL/YL36xfV33vvtF71O+/VB2G6cdXOMqA7Qd7a8W/nV/LZ5r8V+vraqk0Fo6425xX/dR1Yhen4ICLeCrVZGGZuv59bsPOXwlgu7r1VQUub9taup0g6b9wnymLVa+C3mkvj3m9rmqtMvNrtDftI++lZWvVtE+qtWSbxHlAxUFNwpn/H0l2T2kWsO4/XBzHW9Pj9Vgax9EKaDwraT8IPTm7kBIu6H2VBosXh1oQaV/Kzpm2i+/HYUO2kcdL4Uiuq8CHM2z0LByBVOer7DRd/9++e1QQYHBgPMmAMBgoY9/EyeUW7QjbrW17RaN7my/iZEjUqjLrPJcq6+Ojphr86R5gEVFBfZvbzvEpk3fu7Y9GBq+8IUvuLDhAx/4gGsRpeHab3zjG/v1WFVhXHbZZT1uU+jxWvQ7pPjxj3/8mp4IAACMPH0tEv/4kVXZIEKBghbqVRHxxMo6KyzIzHmYPrbMzWzw4YHuH7wq3rcK0owJLdyLKgbUjkgL2VoI1wmYBi4r7FAVhIZTqyWRX8T2w7I1M2FUWdoFJZpv4SsZtBje2B6zo77xgJuhoEV1hSsKCfwsDWnvXvj3rZtE+6YqCc2/0H7pdSk4+cQdi3oMq9bPwQoPHRM9vwIZvTZVOChUUUCg4zG1+zHnX/+Yu7/2QY9XCKNWSmpNpbZSqqjQc/p2VJZIuZ8Vpvj2ST4EKC3M3E8BhY6Zwg3tf1diZ3CjsEHHS62YFBoEQx1RhYSvitCMD2/amFI3yFsmVBW7dluZdlSd7nbtg+g1q0JDr9+bWF1isUQmwNHr88dUgYdaT/njr+fVe9gey8y/sN0M0Qb2N86bAACD3fz5NbZxfbMdc+xke/CBNYQUI1RBfr6ps4+uIxszttRmzxltnZ0JmzKl0i58+6Fh7x4OQDXFd77zHfc1UO973/t2O6/ktttu278hhXpSqWdVeXm561HWGwaqAACAPS8S52WDCD9PQCHCluaom/mg5kSaMaGFaCnPGcjswwUtxGumgj596Er/WePK3WK3rqb3C9hawNfjNGPi+bWxbJWCaBvLtra6x592SKYtlIIEPV77psBiyZaW7NX/ajmlkEL7r6v+/RgHfVdLKB+caB8VpOzcz7h7XXp9wU9QqsZQ2KEAJnegtLavKpFgYKOF+tLCArdor0V+tZkaU17oFvt9OycNENdxUziifdPvGkY+LmfgtZ8nIQooFAio3ZYeq/3QfXUsVbHiqzAUVPjH63WpPZVu08fCQydWuuCkJRrvEbqUF0fskAkVbv809FpUFaGgQa9bIYmCCjcMPJ60aHNmVonei1e7g5fMsSly++SrPFSdMnt8RTYUCs6/AMLEeRMAYLBTG5+nntxkDQ1RK6+IWHl5oTXFusLeLRxA+hgSUyV32qygIM8OPnislZYWWkVFkV30rsPc4GygLyec0LOVrgZwb9y40R599FH7+Mc/bnuj3yHF1772NXvwwQfdQI3jjjsuW6rMsDcAANBff3tlm938WIOdcvBkG1dV7BbBgwvLfnFabZO0WK5FdC2ga5FeAYCvgFCVgRawfRChNk/vP2m6+7sWyoNX+VeWRHosXPufFSCoysIHHLpCf3tzZri2Hq9FdFUlFOSZtcUyC/4a8K25ClrQryyNdIckXa7aQTMwFIBoZsOzaxpctYGCFYUDej3alh7r2yuJhlurMkGBQWN3OygFFFq41+tWWDC9NBPk+MV53a7FfO2oKjvUKkpbVFCillAKUUZ1P06vIdhSyb9ubcu3wxLNndCXthVPZoZki465wpFtzV2uqkKvR4JDyQ8ZX2EvrNxiXam0e/3+PfEDuHV8fcsv/xi/P3rdCkG0n3qvVfmhKhX9u9Ax1LZ0XHS7Qibf4mpbc6erLPH/Hvw+UTWBwYDzJgDAYHfwIWPtkksPs5//bKHV1UUtpd6eGHHDsvU5Xacm+QV5tqOuw044cYqd88bZdvwJk8PePQxyV1xxRa+3//GPf7QHHnjALr/88v0XUrz73e92X21tbS4V+cc//mHf/e537ZBDDnETvd/whjfYlClTBrwDAABg5Lj7hY32yo6YrWvdbMdOH+0WqD1VHviF623Nm1wFgD9d8oOoPVVdaOFalQa+GsBXSPjZBwouDp5Qkb16X4vjPhQRLdRrMV6L+1oY10K6ftaHdbUc0uJ+Q3vcDc7WfijQUIWAZiZom9qOwgf1bdXfVVWg212LqI646Vo0BQ4KIUTPrX1UGKLqDT1GIYdes/ZFLa8UgqhqIRNQFLnKC+2RnkstqxR46PFqjaX90GK/jpdeh46HFu59tYl/jaKFfR8GqYpBz+/p9frh2pn5FQkXkvjj5AMGP3haz6fXpcepPdQL6xotltB8jaRNri51zaj0+hV2lBVFXPAxtjwTPAQHY5/Xva8KbsQN7s4zqywtdJUsPasxMnMqFLD4KpNgRQwwmHDeBAAYCl5/xgz3OXbzphZ7dXmmehkjRypprtVTdXWxLXjdeKuqLrF3vGu+zZtXE/auYQjTBTpf//rXD8zgbA3SuOCCC9yXpnY//fTT9tBDD9kll1xiNTU17oP3Jz/5yb3aGQAAMLxdcuxB9uL6BmvvSrih075VUrDSQYvParOk2311gIIILUz7hfPM4r3ChEKL5KfdIraf46Albz1OLYbu+9TpblFdrZr0XJp54K/0941W9LsCgsnVJTZvUpVrv6SWS7K1eZNr46Qr9rVA7hf6g1fs64p/bUQL8woDFHC0dSYsPz/PVUbkPiY4OFvVGH5fdBVTorvKQgGL+1uzKglirk2V+JBh9vhyF4j4bfrFfx07HwZoPzKtqTJDynVMc0MchRMKAwq6Ax3tR1tXe4/h1f55Rcfy5sfX7txnMyuJ5Fs8kXSvpySStMOnVmUDGR1vBShFkYT73Q/G9u9VUXfQVBwpsNLuYKglmshWcug51NJKx1+vVY/JHa4d1Nd7BISB8yYAwGB38ikH2dy5NbZkyY6wdwUHmC4O0lcikXKDs/V97ZomQgr0y5YtW3a5rb293W655Za9vhhnwCFFUFFRkZ122mlWVlbmvn73u9/ZzTffzIdtAADQq3MPn2h/X7jCHtsUt85Y0joTKRtVWuQWlP0Csxau1RpJC/wxzVOYUGn3Ld7qrrT3A621+K2WRr5yQLcH2yRpBoMfDq3bfTChKoXZ48rdIvYfFm1yMx70N31pYVzPp8V8f5V+8OfgLAYFBdq+qgt8yyK1cdJ3VSRodb0sP9+1rFJFQfDxCjJk8qiSbJWH5m8s7a5uUMCitkp+voUGd6vyQcdFv/vKBr+9YOul4AwJd7wmVrqFfgUtf1y0yQ0mLyuMuNt0nHScFVLovn5mRW77reCCvyocPLWiUiWFhmF3xOKmDESBip5DLbvu7w6IdPwV+uj1qApER0Pvp4ITzddwcyjiCjeqM9U01z9meU2Zk6ZIvto8VWSfX8dAx1n/NnoLIbS/frg6IQUGE86bAACDUXFxxCZNrqTd0wika6MyIUXa1q5ptqkHpSyV3FnJDOzOWWedtct8Nc1hmzRpkn3rW9+yAxZSKBl5/PHH7eGHH7bHHnvM3XbGGWfYddddZ6eeeupe7QgAABj+NJPikXVRU8cftSfSgvzE6uLsArPmOWgRWi2AFBho0VpXz/uKAB8YKAfQ0GQ/M0GhhW8PpFBAC+5+kVoL5Fpc18K9AoTVO9rt07990S3Mp7sX61V1oIVvzWnQPmmxf21du2s5pYVxT/uoWRj+5/MCcxF8UKFtSbAaYMnmZrf4rpZNPkTQHAy/j6re8BQs+G3q70d94wF3fwUems0xo6ZslyoCP49B8zj0GvUaTpo91h1DHzJk9k/7lchWUPiB2Pp9TW2bC2B8hYaOuxb8FTj4sELHSq9LsyauvXCBu/3iY6a64OnBdV0W796m/7iq90fvmb5rm/49TqRS7sRILa2ml2pQ+s5qDT2/H8qttlbaLwVYeryOgT8WwaoJ/374EIvh2RgsOG8CAAx2ZeWFVlRc4AbfYmTRW55MJiyV6rDOzrht3NjiFppzF5+BXKoODtK/mcLCQlctvLf/fvodUmzbts3tgD5gP//88zZhwgSXmtxwww12zDHHWEFB5oQcAABgdzMp2uOZEGLWuHLb1Bh1V/mLFpifWlXvFvq1GK6r7rUQrQXn1bVt1tQRd4GBhk1rxoEWz1XR4KshZNqYUptRk6mU8AOi9RHpe+88wv1dbZDUlsnzA7e1iK6/qTJA99fCumZLaEE8GCBouzu6B2wrGFGlgAKF4HyETOgRsURKw6YzQUh9e9w9r+ZaJLpDBIUnfqFdAYkW3lUdoiBDAYEPF3Q/VSPoMXqt8yZW9loloG35IdplhQXuOGlmhuj+Z8wd52ZeVJVE3OK/2iz5YEchhVpeWXOnO2bBBX+9D746YUJ1SWbeRvfjFCLd+9Jme3l7LNv+Sa/hlO7XoIBB29Ux0z7oNem4Nkcz8yfEV7z4Vl6ZuSTL3DETPd5Xr/jnVWupb9671M0M0bY1SFttoLSvNZWZ0AsIC+dNAIChZMyYEisqKrBEPGWxGFfSj1S6gOiJxzbY3Hk1duZZM8LeHQxy+2O+Wr9DijPPPNMikYgbgPH5z3/eDX7zFi1a1OO+ug8AAEBfMylUSaGAQgvLWoD3V9wrvKgsidik6pLssGwNnlbVhBbKtZDfEU+61fC0WgJ1tx1q6A4etE2FFH7RW5URWjjXDAi1UJpYXeJaQvnh1D+8+Mgesw60uD9tbKZSYe6ERrvt6fVuQdyHEaIqDYUNqijQvuv2nQGLuX3R15iyIoslYu75/RDvlmjcbU9VJE+sqnNf67rbNy35xrlu+76CQXylhpvJcP1jLiBIB0IJLdzr9ymjSrMzPnRM9Byt0bjbrq8q+MUHjnOPUQCgxX5VMSjIcK+potiquisa9Hj//Hqs7q+ARG2n9LoVaGj7Cg60fwqe1jcnsq9ToYreS21Dj5PgtTR6D/R47cPm5mg2nFCFhQIMUdso/ziFMqKApntkh3uuuraYq1rR8HE/p0K30+4JYeO8CQAwlEyfMcpKSgqtrS3z+Qsjiz5fFxTk27Tp1VZWUWj3/t8KO+74yVZRURT2rmGQmTdv3h6rJHwlzrJly/ZfSKEnicfj9tRTT7mvvuztjgAAgJExk2LtunX2bF2BzZtY5dowqULCtxkSv6juh0H7hfiZNWVu6HN7U6aNkqS7v845dLyrEtAQ58dXZNo/KZTwg5sVbChQ0IwJDdTW1fbBWQsKGbRArgV2H0aIb83kgxQ/8FoL/GrX5AdsK2zwrZO0MK8P+12JnfupgEIzGvzQbO2TAhSFC7r/K5ua7ehv/MM9Rm2aguGCr7ZQhYWfGyEKDzZ1hwwrt7dlq0m0X2pTVVVa6CodPG0nWEnSHou651Z1ynkLJmZftw8/fKWKhpTr9Sze3NJz0F73fdfsaHfb8c+v9lv6UdUuaUvb9NKybLWEr3zxSYueW8+j16bj74ej673zsyy0XwqJVCWiKo1Du4eblxdFrL49ZhOrI9mAJXOMWrOVNAzRRhg4bwIADCVHHjnRJk8pt9rtbWHvCkJs+TXn4NE2dWqVrVrRYMuW1rmgAgi67bbbevze0dFh+fn5VlJS4j7/XnvttfbZz37WSktLbW/0O6RYvnz5Xj0BAABA0ElTS2zmjIn224WbXBWEFv11hb74RXUtMLuqh2jCLU5rzsSJs8e4xW4tdKu9T0tnZrZCMFg49dsPWZtCiVjSLZZrUVtX7Ot+U0eXukoLDane0hR1wYiGWOt+/jmCbZv0d9+aSe2YtMCv7WoxvCkas8tPnZl93uD1JFqsV1iiIKM4knDPr8Vz0bBuP6tCVQCVpREXNPjb5MFltS500ev83O9ecq9H+6DWSQoY9F12tHVln/vQSZW2ZEuLjSottHd0VzIE5zL4gEJVJMFAQd8VaARftxb09do1e0Pb03BrHQffakl0u38vNjdl5oV4qhbZ1tLlHqPKCoUlvlrChUrdz633vrwo4kILvf8KJoL77WdZ+P3XMdI2Z9aUu1kbCjgUVujYKiTys0IUBvVWkQIcKJw3AQCGknHjy6y6au8WFTH06eKjMaNLbdq0aotE8t3n9Y7uqmYg6Pjjj8/+/Jvf/MZ+8IMf2Fe+8hW78MIL3W2nnHKK/cd//IddffXVPe67z0OK3qZ2uw1EIlZVVWXz58+397znPT3KmQEAAHqjFkEvrGty1RFafPZX0Gsx2VcbKBDQQr7CA7Xy8VfEB4c6q+JAC9l+hoMWxPOaOt3jVHXhF9C1uL1ie5tbkFfLqKhaRpll2zZJeVHmOUT7oL/po4/aDWlRXAv8+l2L7Frcv+WJtdmB0FqwD1Y2dCZSVtva5fZb91UQon18YmVd9hioYuIdR0+1j9/Rs/2LDyqCtA3NZsgMvk66wKGiuMAFB6qc0LDs4kiBHT61ukclSG5AoVZamVkY22xbS+bYTKwq2SXQ0GvXCYq274aUjyt3vys0UrDih2v7mR+RfFVwZN6rytJCF1J4vn2UKib085RRJVbdHXLo8WrbpfdaQYMqRUT/FoIBg6/+0P74ipiSwnz3XWGG/4Qa/KTqXxNDtHGgcd4EABhKNm5osVQ6ZZWVRdbSEsteUIKRoaSkwI48eqKV6uKuroTl6yKjqpKwdwuD3K233mrf//73XZtTT21Ojz32WLvuuuvsXe961/4LKa688speb0+lUtba2movvfSSXXzxxfaLX/zCDYQDAADozdObOq2uNeECiuDQZL+YrJ99cKCF92NmVGUDCt/Cxw911u3BBW1tz/9draR6oyv4R1uRm3ug7fvn0kL/lXf9yw795ypXcaEFcc2o0HmatudbR3lavPfBir9S/3O/f8kNpd7ZEinPVS6oumBtXYerQPDzM9SeSiGFqiYeWlbrqj1UERFsq5Sv5zFzgYQW5FWLoHkWCnVmjy93+6DwYfWOdle1oLkRR33jgR7VJe54diVdQKH5Hn7OhQ96Zo0vz+6/DzQU4hT0MtxcAYFaQ/n7K6y487n1NjovagtrU651lyob9OXbNSnIUcWFqlV0TLUfX9aMje5t+HZeubMwFGr44emqstD7qfdOj1Mw4Ssp9N74fwfBQCL4vgAHEudNAIChZNWqBksm0lYQybfS0oh1dCTC3iUcIEXF+a6C4qCDqly7HgVWUw+qtEPnZz77A31pbGy0adN2vRhs5syZVle388K8/RJS+NKN3fnxj39sP/zhD13JBwAAQG8eXNNhaxsSdvzMMdlFZB9AaOHcBwKaI6GKiKBgIOEXprVYravqfXChhW09XgvivrWRqiSC7YRu6J61oHZQ5YkCdyW/qh9EIYG2qcHasrq23V3hP31smS3dmmkppO1pwLae01dxaF+SKQUr+dnWSGoLJdNKy2zW+Ap3P7V8UqVEMp12FSParsIJhRijy4tsTPcgcD9sW4O1VXmQTsd7LNIHZ3coHIjnmS3b2uqqRrSg7+/j76fXpPvq+X27pOBxCwYaGmCuLwUUvlpBMyNU0eCHhQe9vD1mW1syw7P13HpNCkT8NkVVFuKrZoIBhZ9HovdF75/omGuYth+errBDf1dVikITPY+vwHCDxQkkMEhw3gQAGEoSiZSrAFQFhRaqMYKkzabPrLaOaNy2rm6zyooiu/Dth1pJSb+XizFCHXPMMfajH/3IVU34GRRdXV1244032lFHHbVX29yn/+re+MY32q9+9at9uUkAADDMnDOrzLryEtmr5P3ishautSitxXAfKKyubXMtknRVvegxM2rKelRQBNv+6EszDnR+pQBCV/IHF/S1oK2F8dZopppBV+9rQV2nY+1dCdvQELVpY0ptRk25raltt83NUbeYr+fVwvj2lk63UK8KAwUKWjBXuKC/++HeqppQa6ZxFUWu/ZRfhA++Tj2v9lGVGQo+po4qca2rfECjKgwN+PaVIdq+tqmh4XrO+7rnLojmavgqA+2Tggodk9yqBM1sUGCjCg7xMyP0HviqB3+ctB86bsHvmoURS6S620VlKlr0/mxp6nTtniZVl7iwxL8mHWcNKNd+jCkvdK2vNNtDAYl//9wQ7UAljdpMKZzSY/Xag8O0xc+d2NrcmZ0PsmtTHWDw47wJADBYTJhQbrF40n3+TCSGdkhRVVVsl1x6mL3lbXNtypRKKy8vsvb2mG3e3Gp/uedVu+uOV6y1lXkLove7uDhizU1d7uuIIyfaG980yxa8bkLYu4Yh4Ktf/ap96EMfslNPPdVmzJjhbtuwYYPV1NTYT3/60/BDCj/NGwAAYHeDs5+ti7uZFH7xWd/VqkgL2IloJnDQorUqDfxCtJ/5MHVUaY+r5oNtf3S1vQ8MFAyoakAhxyubmt19faslbePUg2vcfRUyKCDQlfs7WmOWSplbHI8nUi5IUBsoF3x0t3jSl4IAtV1SYKLHagFf8y9U+aGARYv4CjO0n77d0bX3LnXzGtQK6bEVPUtgdbuGhqsqww36zsvLtlgSDfvWc4paO2n74tsoqUpBgciaHe0ufFDLKc2R8GGADygUSpwxd1yPoEIhg+o+bnt6fY9AR2GIwg0dR22jvj3uXmuwVVQqnXbHRZ2oFNxcevz07DwR3e63pePc0B53768fjq73RtQCS/f75r1Ls+209JpEFRTBNk7an0zAlOeOtSpMdJx8NQvVFBgqOG8CAAwW8w8bZ2PGlFo0mrBIYZ7FMx+Xh5QpUyvtP//fyXbxuw+zioqiXf4+e84YO/310+2/rjnD7r7zFfv+d5+2zZsyn61HqnHjymzB68bb6DGl9oUvnWrTplf3OlML6I1aPd133332+OOP27p169zsNYUVCi0KCnp2QwglpLj//vtt3rx5+3KTAABgGFKg8MrmFhdMfPLORW4BXa2ZRG2G/OK6Ft+1iK2r6j/92xfd33e0ZaoqgkO0dbW9qgEUCPhWQAoF/LBphRN++5JZWjd335rKnQvz8uyahmy7Jj1EsyKSybQLADQbQq2eNPTat0xSQOIqI8xcFYAW+t0w8FjSbn1ynave8CGBhnpva+60iqICa4uprVJmMLden4IHLearXZRetx6n16TXVliQ173H5qoZFE6omqBJC/bdVSMaFO4X+XUfVTHo+KjSQq9J3n/SdHeMnlld755fMq80E8b46gvxFSlqt6Tqid6GUftKiuKI2SXHHtSjWiQ46NxXXug2//OTK+vcMdF+u/Zb3UPORa/fzxZRYFRUkGlR5QMTPzTdBzvBIdvAUMB5EwBgsCgsLLAzzphujz263uIx/8lw6DjhpCn2299dZGPGZlrO7I4CjA9/9Gi78O3z7OJ3/sGee2azjVTRaNzWr2+2DRta7L57V9pb3jrXpkytCnu3MIQUFRXZ2Wefvc+21++Q4p577tntALgXX3zRHnzwQbvpppv22c4BAIDhSQv5atGk6gAtVIvaFek2tSrSorUqDiQYIMi4iuIev+vvWoRX5YKqLdpjiWxIMKYsMyDbD6VW0KAQQG2JnlpV7xbA/TBpcZUP33ggG1L4ygiFBXpMYzLlQgUtmGsB/ZYn1rr91za1/bzu/Zk7odEFFKLb9Bi1gdI+KnSYM77chQjBq/+12K6qjrEqS48lrDWacPdVmyTth6oTiiL5rmIh054q6QZ7K6DQc+xoy5SuF3ffxx83HWvtrwKH+7pbO/mAQkoi+e7vE6uKs3Mz5JVNLdbQEXP7rMDk/kCLqWD4oMHZJ9RktucrGvzcD9+2KTjE2ocK3SMq3HeFOPpVoY3+HYyvKnEB0M2Pr3X3UeWHKlf8+60wR1UVev7c4AQIG+dNAICh5pTTptmkSZW2dWuLxYZQUKGA4i/3XmKlpYUDetzYmjL7v/susbdccLc9+/TIDCra2uM2Opa06lElLqBSWPHJK46zqQcRVCAc/Q4pbrjhhl5vLywstMrKSps7d67ddddddvjhh++znfvHP/5hV1xxRY/b3vSmN/W5LwAAYGjQVfcqJ9ZC9NOr6y3P8lxAoQV3VQhoYVztl3xrIC1sa5FdC9hfuuDQHlfma/FbLYZUX6FAQqGCWhfJO46Z4hbptSiueQ1LrjzNbUuzL6x7oV+L6cFtTawuybaFGl1W5Nob+aHNajWkdksKVzQ7ItitRVf5q2rBVx786N1HZasBtA9Xdv9dIYEqOHKHT+tYxJMp61DI0pW01s6Ea6d0zPQam1lTnp0b4dtHzR5f7oIcH6D4XTnt4Br7xQeOy25Xr8sNIo8lra4tlg1grDsUUKCRG5iIXoenwKS3lkr6WQuvNz+81LrWrrLVOzrcc7lj2x2E6LiJP8a+OkKtbjSsXCGJQiQd66rSiAtq9N7r34WnFlV+loXo34iOjx+q7f+dAIMB500AgKFm5qxRdsIJk+3pp1O2tr2px2fcwdziSRUUuwQUiYTZn/9s9qc/mW3frqEbZm9/u9lb32oWaEOjx939v++wU0+6dUS2fkqnzOp2dNhRR0+yufPG2tIldXbvX1fav3/8mLB3DSNUv0OKhx9+2A60VatW2ZlnnmnXXHNN9rbi4p5XTwIAgKHn3MMn2gVHTMn+ftQ3HrDGjoT7WVUHfp6BDyO0sK0r533HJt/yxy+U+2oHDWZWIKCWTAoa/rBwkwsdNDtC29BCu76LDw90Vb4f2K0QQe2Hdkrv0lpqc3Odu1XzHKaMKnXBiNoTaTF+5fY2d7v2RSGEf4y2r8V7/U2tmFTRkDuYWtUC+rsPSDy1k9rcFHX7pYoGfS3f2uqqKjRoWqGDfvbhgxb3g4GCb/mkFljBgELHUjMdfKWDBMMfBSKZgdxFVlkayR4jfzzUTkt/j6fSlkyqAibTlsrPo/DPoS9tU5Ur+ppQVewCqbEVRe6+qhLRvIpZ43fO0NDx8C2qpowq6RG6nH/9Yy6UUctcH1T4fQIGA86bAABDTWVlsZ17wcHW0Bi1rVtaLRrdWXU7WH32cyft2uLpb38z++hHzTZu7Hn7HXeYHXSQmaoYzz23R0WFtvOZTz1gI1EqlbbCwnzLz8+zSZPL7eWXtlvt9nYbP6E87F3DCLRPZ1Lsa6tXr7ZDDjnExo0bF/auAACA/UQL434xOy9QlRBc4Nfi+KTqEneVfXCQsv/uqx3c0OZ40mcLriJDcxsUfPjZEK5NUKB1kZ5fC91+rkXPkGLnfVS9oFDAugdQa4aD2jIpIPFhh+hvfoaDnzORu3ivRXaFLAouovGkW5BXQJFLx2Pq6FJbsqUlM9PCzDbUR912FDjoGRXITB9bZiu2t7nHqNokd0aD9k/Po6vidH/dxw/x1vFUiKH7aMaEqhT8MfLVHsFjpDBGX37OhqgRkyod5oyvcL/7sEYVErqLQgcFFLpN28+0v0q4Y11eFHEhkj9+fs6Ejq+O5fk54YMeo22OLi1033ODitwqG2Ak4LwJAPBanXf+HGtq7LSnnlxv0agNapWVRXbJpYfvGlC8+c1myT4CFgUX+vtf/9ojqNCw7a99+Z/W2pppnTqSKJxobu7KBlWN9c3W3NxJSIFQZJr7DuIP25oMDgAAhi8teKt6QAvOmpWggc1aZLbuxW21PNJCtP6uYcl+8VmL2cFFaD1GLYZ8ebpaGWlBXtKBAMR/12K2FsO1QK9qi/GVxe7+CkM010H300K+37b2S/unbWkBXffRor22oxBl8qhSO3nOWNfmyS/u63EKVqaNLXMVA55aLOm1FEcK3EK/ttebeZMqbVNjNBsGqE2UgpEgzfDQnw+ZUJF9br/or2oHvUa1kiotLHBVCRr6rfBGrasU3CgE0vwMfXdto9IKQjqyj9XrEx0bhS0bGzp6zBKRsWX5duKsMS5c0pfeM9H3dXUdLgD54CkzXOigwehqL6XqDNF3tXfyAZToPa4sibj7qupElTbaH+uu/tB7q/dMrZ50P70P/rG+ysb/DowEnDcBAF6roqICO+OsGZZODeqlQufd7zncDcHu0eLpIx/pO6Dw9HdVWuj+3bQ4v0vgMQJEIpmLrjasa7J4LGnRaMKKigsGPN8DGPaVFOpTvHbtWnviiSfs5z//uSWTSTv33HPtqquuctPD+0uP21v+sa9lGxh8eF+HH97T4Yn3deS8rxooLVrAViugqpJCu/iYqe4+y7e1uAXpsuKInTJ7rFvsXri+wQ1r1lwLtY3y9Bh/tb4PJQ4a010CnjYXIKjFkB6nbWsbqmDQY/QIzcVQCyEttn/xvHl29wsbXUjyvlueybSbaunKVA90hx6an6FQRAOrVdWgdk3XX3yEvXH++Ozr0z7taOl0D9B2H1q+w92+sTFq93ziZDv9u/806zCrKolYaVGBmxmRCUFSVpCfaec0q6a8O6RJu+OhKohgSygFDvrSPuq55YaHVtjy7W22vr7Dkum0lRQWuO8zx5XbU6vrXVWH9v3QkkIrKy6wts64O8YXHT3Ffr9os3V0Jex3CzdZZzzpXvfWlk5r7m6xFKTQQ/MyThyXtI+ed7QVFBTYZb96Pvt3BTMHjS51x0EOdpUW6ezvOsZ6P0THSc9170ub3fuaSh3m/r5ofZPbV+3P1efOtZNnj7UtzZ3uu16vv5//N6Pv+hzpfx9pRuJrHun2xXnTQP/d8P/R4eC4h4PjHg6O+4FXX9dhN/3sBUsE2oMOVm9529yeN2gGxaZN/XuwKir+8pfMnIpub71wrt3880U2khQWFVhxUYF1RBO2aVOLdUYTdsSRE/5/e3cCJtdZnnn/qa33Vb2oW5IlS7KtzZIly7YwyA4Y43hLgjGEYBgMhGSGcQzMFwhhST5CjCH+JtfAJBlI2IZkYmDMEjLYMMZsXvBuS8i2ZGu1lpbU6lbvXd21ftf9Vr+l06WWF1nWqe7+/66r6e5aTp1zSo2r3rue57GOzppp93c33fYX0yyk6OrqsmQy6V5Yf+ELX7D9+/fbLbfcYmNjY/apT33qJW9ny5ZjQx9P1qnYBsoPz+vMw3M6M/G8zvznNZUqlFY3V0Xsv7+pqXBh5pBt2nTINrRmbWgwYZcvqbHvbtlvzw9k7NHdve7T/kODQ7Z7zx67Z9eou/7iBVUWj+ZN76u0lt5SHbVkcsxG0jnrGc1Zz+CIza+Pu/tsyhS2vel5s5G0Agotnau9kNm+7gHbvSdrH15bZX99b5dt7Um5y8S/ZdPtE/mMJccz1lAZtaPqMJXPuwHSHZlD9uD+MbdfCxvjtv9o0j2GKjG8loq8bdq0yW1D22pI5O1v39Tk7vfdZ4ZtJG3WO5oznZk9PUP24Q2Nbnva5+RwxAaSerzC/ui7gg0FKP/lm/e67T97aNRdVxPPu2PWcT3bm7fmSNLiE0cRi5hds1jVHbXHzmHnmHUvSNgv9mTcPnZn8u68DY/lrDJu1lEbt9aaqG0+XHjO1rdH7cbz9GmrhP3Tjx8tHnNtImJDqbyrcKjMp9w5+et7j9r2Iymrjkfcc6Dn68NrE/bgxHOYHMvZweFM8RwqftL134xU2i/2JO3SBQl3zh7bftSS42l7bHuXbeocc7fTedH9gtv1/4aAme5UvG862f/W8t/ocHDew8F5Dwfn/fS5/75ue/LJLquoNBsdtbI2f35hxlyRhmS/HLp9IKSYN69kezOcPngUsZyrnMjn0/bow3tt+coGO3NJi23evDns3cMsVbYhxfz58+3hhx+2xsZGi0QitmLFCsvlcvbRj37UPv7xj7tP6r0Uq1evfsm3nSqJ038QX8k2UH54XmcentOZied1Zj+vXdF2+99PHHCfom9tGLHe5JC1NtTa2rVrJ91evy5+6pD7pHw6opctqiiI2pK2GvujN5zlLn+mJ217hkZs8Zln2tnto7ala9DOnddgTbUJe3RPn8UmPv7fm8xZ31jK9gzlrT/WZM/2pO3tFy2yB3b02uBY2lVwaLl/55ER++rmEXeb8UiFLWnT8Nm8PTsx80E0qPry1QtcZYevBPBVAWvP7bAvbHrUnu5J21NH1MYq79oWZXwfKjPbP5yzP7yz19YvbLYz2nPF+33qvgds72DGtWaKRPVCLWIXLWm1h3tydsHZ8+xODc0+VKi28NUnouoRRQ8/2zNuiXjU/azrPv17a1xVgqob0j191pevtvlzojZ8eNi1h/rAta+xnzx1yOp79tniM88wLenfu7/XxrJmvamIpfMRa6iosDrLuiqLj1+13D2etqdzq+3pb1TP6Z27M/Zsd8rGI5X2+evPs7//xQ4X57Q0VU0ca5PVDfXb0Fi6eH51/nYdGbOu/pQ7p0va6tzzqnMR/DegfdT5PRTvsD+6rGPSuRad721HM1bfELMPXDv539Bs/RvD7HEq3je93P/W8t/ocHDew8F5Dwfn/fTSh23u+PYvLJOusPTx49nKTm1tSaXg4cMvbwMlt5/UOmqGi8UirrVXVXXcauuqLJfJ2ZyWWvvzT1xuq9fMtemI178zQ9mGFNLUNPFpyglLly618fFxGxgYsDlz5rykbeg/Zq/0P2inYhsoPzyvMw/P6czE8zozKaB4bE+/W1D74BvPLg46nuq5/s7j++3hXX1uHoLaB6WzeWtrqLJrzptv0WjUnjow6IYpf+g7m92gZtnVM2IL8zWuVZLmOPiB2KqyGB7L2PeeOGBj6Zx7/LaGStvTO2pL2+vcPvgB0f42fg7GLXc+Y4cHx13vVn09sLPXzVLQPmg2hvbHu+GiRW6/1KZJ4YcGaf/zg8+7tlC+Y5LmPzyxt9+e/Msr3O+a/bD36KirjCgMEY/Y65e1WVd/0rYeGnJhiq+aEL+d4MBttYJa3tlgP9va7X7/waYud/6WdzS4Y/WDxoPn259f7a/mcYyOZ62uMm7rFzXb48/3ufM2PJ61Hzx5wJ7rHnb30/HtPjLiWjHddvd2uyo4n1oVGufNL54PzZPwx/q561a786vz8j9//XxxbkV+YvC2f141f0LPmc6bZmxoH/2/F80iCZ5rf7798fH/F5iNXun7ppP9by3/jQ4H5z0cnPdwcN5Pj9HRtD346/22Y0efZdJTz0orJyMjJUOu577MxfWS2w8Pz56h2fF41Nav77TFSwuvHQ52Ddulr19ka9fNC3vXMMuV7TSc++67zzZs2OBKl72tW7e6F+AvNaAAAADlSZ+CLx2CLX5Qsx9qre+6TW1lIZxY1FJjr1k6p7jYLlpY1+J9ZiI80EK95kVoYLMGNGuRWwOWVZ3gF8W1AO8fX7MclG3s6h5x1+u2egwtkAf3USGGGwgdMTesWSGBBjT/3c+3Txow7WnQtIZr67FUMXDJ2a1u395/yWJ798WL3M96DE/BgY5R+64wQ8dz3/Yet4DvWjvlCxUc2uacmoSt6Kx3X8HH07FqsV/30f01J0MDsbXg74+jdOi4hmrrPgojdL+z2mtdGPTgzl4X1mh+hWjuhR9IrftqToS+NMNCbap0YpZ11LvB2UE6Rh2rzoPuq991/jxVmWjfV3TUu+fidZ//mX3lvt3u8W5/eK87r0eGxm1xa82k5z1oqkHqwGzB+yYAwCv10IP7be/zAzY+lrVstvxnUhw4cKyNqnPddS9vAyW37+oq2d4Mlsvlbfv2o9ZzZNQaGivd4PCLX1uoDAfCVLaVFOvWrbPKykrXR/Wmm26yffv22W233Wbvf//7w941AADwCqkFUemn4bWArUVw6RkadzMc9P3my862jsYqOzww7gZBqzLCL0YrINDtVEGhRXl9V8jgtzfVorYW/LUA31xT4T6x7wdfj6aT7j4nWuzWtrRYrnBC+6DFc4UbGvy9u2fU7et///l2G0qmXcVFeqLCQdUIqshQwKHH0f3u//M32vkLC4v2PtzQthUQ6Hg//J1NhVTCzC366zj9Z9oUvpy7oNHt59VfLMygEAU4fr+f2j9ofaMpq0pEXfDRn0y7bUx1XNo/0cNtPKvV7t/RYwf6x4rBx6XntLvbKGRQmKEgQaGMr7S4/vz5ds/2Ltt9NOMqV3RM4h9Lx6mQZuvBQTs4MOaOU8+Rbqdt6TofoGi7/rFFgYxut7N7xFXS6BiC2wbA+yYAwCtv9fT97z5jyWTG0umse61c7v793561S39r0bELfu/3zBYseGnDs884o3D7gB/+4FmbNSJ5GxvLuNltgwPj9ntvWW7rzj/WahUIS9mGFHV1dfa1r33Nbr31Vrv++uuttrbW/uAP/oAX2wAATHP61P2n7rvftefRgrz4BWvR98f39Lk3SIcGxuzmbz1ZvK+CCFUFqGJAi/sKLXS7uY2V7hP/+uT/VEGDr1LQorsUqgCOfepYFD74fdC2fcgR3I7aO+kyXdc1MFZ8E9dSm3D7on0ofV9XWxG3jsa4bZ+YaaFQRNv3baW0aL934r7LO+vd4z2xt89VEaiqQu760KWT9ssHBbqfTcyf0Ln019dURO3oqLntF1pkHWsTFdyGAgKFDaq4EP3u20j54OOrN15Y/F2hzjce2ON+fu1ZLa5VlXrAfinb7+ZB7Doy4kKjXd3DLrDRthTiKHjwjz+UzEwKmYLnS/v08K6jlsoUqkEUTul8b9k/4FpGbT045M6bzk8w3ABmM943AQBeifFx9fM/YmnXCrXwgZ5y961/fco+/devPzZLIh43+8pXzK69VgMKTnxHtQ7T7QItxIaGxu3btz9ls4F/fjOZnOVyZp3z6+3d71njZlQAYSvbkELOPvts+8Y3vhH2bgAAgFPonl2jbsCy+E/d+woKhQtafPdtjxQmKJhQxcJlywuf6PctkoLtkT51zcrjqieCQYO/zH//yB2bXSig9kmtdRVuAVxVDgpAfIWD2iRpcdzzsxR0mRb21T6qUIGRNRs1ty8KBNTaKLgo3zWQtHlWVaz2qK2IF7fl20ZpG7q9QgcFAVqAX9hS46omfHsl8e2aVEGhORX+TaQqDnwlgs6la0ul92HRiNufRdU1kwIh3UbHoQoPtVHSEO38xPlRAPDc4WHXOkv31zZ9GKDzo2NQKBKsUrl4QZUtPrPD/ux7W9w+uQCnf8y9EVI7p+B7XVV4+OdGgUbw34G2r/vPa6pyz48qVkTnzLedUvCi22nfVb0yVZgEzDa8bwIAnKxo1Oxo76hr86SF6+lgaCjlgoX3//H5xy688kqzH/3I7I//2GzfvqkrKBRQ/PZvT7r4O9962m1vNohGI1ZTnbDGpipbvLjJtXo6NukOCFdZhxQAAGDmWdgYt2d6M+7lsOYhaDD0nNqEW3D2Myj8p+o1bFqaqhOu1ZDaBGkx2s8p8O2Rgov4U7WP8pUVup8+va+Fe4UA85uqXfBx8dIW991XYvhP7+t3VQSookOhgugytYtKprOFBfh8ISRYf2Zjcd8/e+dWOzI8MWQ7n3fzFXQ7VXKMpDIu3NDPvjWV9kmVGAo6/AJ8dSJq45msPbV/oBhc+MV4P6fCW9JW68IEnU+1eFKoo/OlsKJ7KGVL2uuK50bb0LnWMfl2Vb0jaTd/Q3wQIapcSMQKI8x0fwVEfqC1P5+3P/K8bWjN2sM9+9z+K9jwIYnuq3Mger794HNfyaGKGV2u76q+0LlVW6ee4ZSrpnhgR49rP7W/P+lup0oTVbP4KhD9G/DPMSEFAADAy6cKCs0pmC4Bhfe3/9+Ddt1blltLa83koGLXLrN//3ezH/zA7PDhwpDst7zF7Hd/d1IFhfT2jLrtzBZ6nlU5k8vlLBaLuC8N0gbKAf8SAQDAabV3IGOZbM4toqvN0I7uEfcp+d2BqgGFCndtOegW8xUAVFfE7P7tPS4wEN3OD8b2i9PBYdt+Mf7M1ppi+OHvp0/v65P+8vNt3S5A+NnWbrcIHpligLYu1+K5qh7e+7ozXTCi/dLauxbzdR+1JfJBiAKHAwNJt8jurlelwdIWty21T9J9RTMx/L4PJgvBhbblh3r7xzg6mrav3rfbDdH2Mxk0p2JlZ70LOhRM7O9LusV6P/+ivaHKBTtuKHVlbFLVgx5T501zKhS01FcnigPCdX5VVaJKCW379cva3HW+vZSqTNTiSVb95U/c7Ay1Z/ruM8PuPOvc6D6+ekLnIDaxLQ0M/69vO684+Fwhg45vLJNzFTN6Hpa217pzpmPX/XceGbHuwcJzpaoXzcwQ7YfOt86D33cAAACc3Kfr1YZVr0OnkwP7h+wPfv97lkymJ1+h1k8KJf7lX8zuvrvwXYOySwIK3e/tb/ue285soedYFTODAynbtavf5i+op9UTygaVFAAA4LRXUjzXly1UGaj9UWXMfTJfi9Z+MVyLzlosFy2Y6z2TFrQ1lFp0/c7uYbdAvvHzP7dPXrNiUuWEb4vkL/Phh//0viopIoFqBH1TGODbM/m5FqJgQIvnWhAXzYrwlQZSk4gVWykF52R4uqmqRTRXQter1VRhUf5Y2yNVCoi261taKSwZTSULVRMTO3loYNydHx2Hgga1Q/LnrfS7tq2QwFc9eKrK0HmLRSLW3lBZPC7th+ZFuNClodJVX1x//oLjWl2Jqil0DP75GUnn7MDwiNVVFl5aKqTQh7J0POlszjYsaXVzRDyFIQofVHGhyg+drxs2FIILVW94Cit0/8hEtYiuL32OqaAAAAA4eUd7k679z+FDwzY+Pr3KKR5+8ID97jXftm//7+snV1S8CFVQKKB45KEDNpu4qomIWX19wr3+3rN7wM3kKLR9AsJFSAEAAE57JYUWp7Xo7AdR+4VmP1NBtGjtWwv5SghPt9fCuRaxtcAfbB/09IEBu+qL97rFd12mhXU/ENt/el8L8HpcBRADybQVYpC8CwOSqZzbzu/83X1uwVz72lhdGGCt2/vFeS8YWAQHdCsI0ZBsBQVqqeTDBbWZ0oBpVY9oewo4FBq4SorAzAV9V/WAKMzR4/QnU/brHb1233M9bl/VIun+P3/jcedYx79/YiaEjll8IKJj89UcOu7gLAtVnmxsb3UBiSpXdC4HkoXnS1R9oX3Wc6JWXDo2qU1ETWdR+6xbqlpCj5NJFVpiBSsdtA/PHio8D6KRHss7joUrup/OsSpoFIBoX+ur48UwRaicAAAAOHWVFEsWN9mhg8MTsyls2gUVGy/+hv3pRy+2P7jh3GPDtKegBXnNoFCLp9lUQSGuUiZiVlkRt7kddbZqVbv19SVt86bDtvESXlsjfIQUAADgtLp8SY3VN8TshosWHfcp+NIB11q4VmsfzSaIDoxZw0RYIFooV1WD2ibp9lr81sK/FriPjqSLw5jV/sgv1JeGFqpGCM60kHWfudttY8uBweJlqiLQp/8VLpTSIroCk9L99zMbtB9+doIfVq3F99REOyPNr1CoocvUFkptsLR/CipUTaI3FFrEPzgw5n7PBMo0NKBbjxGct6FAROGI6L2IP1btv8KBpuqKYtByaHCsOMtC8ylUqaIw4JM/2OJCBM2q8ObUVLiQRI+uqgidUw0Xr1ElzMpa64812b88tNedI7Vl8scQrOTws0TmNVa5vRudmM+hoEjtvkQtofxcEA3x1jbUAstf5itcvOCAdKoqAAAAXp629lo7Z1mr9fQm7dmteTt6NDnt5lMocPh/PnS3/b+f+qULKn7vumU2b169CyyGh1PW1TVkP/zBs27Y9mwZkl0qHo9Yy5xqO2d5q52/vtMqK2O2bWuP7dh+lJACZYGQAgAAnFYXL6iyD1y71mIlfWHFLzKrJZEW4LUgrkVtLXprkV7tjTwtlAdbCImvSFAFQvDT9sHQw1cqKPjwC+PBxW0/HFozKPYeLbRh0lwFLfgrQBAFB2rzNKoygLy5eQo33f6E/eHGxZMW0X07IlVlaP5DW32FrV5QWxwK7itBxA+79vdXOKNgQY+rIEUL9l+5b/ek49X58a2s/LwNhQu6j0IPVTH4gMa3Ge5orLRUNmvDqnrI5114osdWcKGQR9sprRaR6oqozW2sd9vR86NqCw25fuv58+3izjH7wqahYoWGwqP1Zza7cEHn0j9ffpaI5kjoOH0FhypVlk5UtwRbOOn2CnX8rI3S58rfhuHZAAAAJ98C6PWXLbKdO49aW1u1PfjAPjt8uPD6dLpRAPGVf3zCfWGyTCZvZ5/TYhddNM9iflh2RO1vA31qgRARUgAAgFAFPwkvqkrQor+3t3fU7reeSRURU91XC9S+WkCtpPyCdXDhWrdTNYNvS1Q6dFnb02NoaLa260MKUUCieRNqQ6RB2fOaqu3Bnb02ls5aNl+YPaEFeR+cBPfNz1no6h+ze//ssuJC/njgWBQoBFtViQKBQwNjbo5FU82xKpI5NQk3TLxnOOVmc+ix9DgaXq1KCg3DVrCjY/HH5/df16sllcRjUXcO1DZKgYuCFwUoainlro9GrKOhys3pUJCgeykI0XZ0e72n+fFTh+yx7TlraW5050bU6krBwXgm687L1+7f7UKX0koZPZaCJVWUaP9KQwZf+bKgudoNB/dVIUGl2wQAAMDL87qNC63nyKj95Mc73Ou7aNSmXTUFXpg+ZDWnpboYUGiAdi6btzMXN4e9a4BDSAEAAELlPwmvigkFEvoUvxbHVb0g+nS+Lte8hNKFaLU30qK5Fue1wK2FeS3q6/tUgp/Q99vybaGCg7a1L74aQbMg2uoqivMszl3QWKwCUHWEn62g3VUVRulxyeuXtdkvnz3ivotCBYUOfp6FKij0s9or6UtBTWdjlQs3gp9tWtFZX6ys0PYPDvS4ihNVcej2n7pm5QmrCbT/2t/kQNa1W1IQpDDBnwdftXH/jp7ifjVWx908iOXV9e4x1ZpKVymY8TumoKRnKGfVQ/0uaFncWuOuUmsutX4ay+TcffRc5QMVHX6ffPWFqkR294zYV2+8cNL1CpSeOjDo7nvXloPHVc8wPBsAAOCVz6V481uW24pVrXbfrwqvjTGzKHTKTFQm53J527mjz+YvaLB153eEvWuAQ0gBAABC5Ycla0HbL1ifM7fO7vrQpW4xXwv2WqjWkO3Sxeh8yXctsGu+gRazg1UEwWqLYFChcCPY8kmzGdLZnO07OupaH81rrLYl7bXHtY5SuyPtsyoP0i7EqLRPXrPCXe8HZGvbClb0s/ZLx3T9+QuKj625Ga11FW7ORCIWK1Z3uNZL41kXtgQDCg3PFlUc+EHhegzf4klhhc7V957Y79ojqdWSwg9/3PruwxcfcmimhO6jyhGdX4UqLbXHhg0qMBkay7pB2L5SxfrNVY54OoZEPmPpSMwFJbrKt3RSxYVNHJMuV5WLP36/T2ob5VteKcgJ0vU6z777lM4VAAAATr1IJGL1dZWWqIi5agrMvEqK0WTGdu3ss9HRtM2f32Dvee951tSkWXFA+AgpAABAqLSA72cgqF2Qqhf87ImpKh+C1BbJVwAo0PCf0tditq9ikNKZBdqeWhrl8nlXVeC3fd/2QhWB5jVI32jK3nHhiuOCDhecpLJu8V1UbaDL/YwF31KqtjLmZl/4xXlVE/iAQbQA7ytHErGou73CBYUMg2OZSceqioRtB4dceOHnMxSqG54pDsrWY2qhX8eg79qmP27/5dtQKZDR8WsoePD8qn1UkOZO6Dp/fhc0VRUHlCug+MRVy+3TP/yNHRkdM03uuGp1hx0a2O+O0c/ekPlN1e67tuEfy+/T+7/56KRKkyBf1aH73bCBlk4AAACvlpHhlGsDhJmntjZuF22YZxWJmK06t80uuHCeG5oOlIuJSSkAAADhiEx8acFfi95ak1YVhBbFr/7ivS6E8OGALlMQoO+iy1QBoGoILbRr0X7j2a1uMXtObcKFAFqMV0WDqg78/fwiuR5rf/+YG0o9FVV2KJBQuKBQ4+ZvPelCAbV1qq2Iuf3WNoaSmeJ29Vi1FXG3uO+rI5Z11Nvyjnr3s0IMHZ9aRmk/tZ2Gqrid1V7rKhpU/aD7+cX5qni0GIZoILhur5ZKeiztV9fAmC1tq7V3X7zIhRxqCaXbqFVTsEWWP3c6n9oHBSFqz6RgSBUWon3S7ImghS01xVZYOs9L2utcyyvdV8Ourzy3w4ZShTezml2hx1E1i5/voQBG51GPp1Cptb7yuPOsCpPXntVSrDTxdHy+umZ5Z/1xrZ4AAABw6tQ1VFhtbYJKihno+reutE986hL7yMdea1ddczYBBcoOIQUAAAiVgoWaibJyrcWrTZA+ga9wYOuhIVeF4OdG+DkP/nfRIry/j68I0GK2/7S/PqGv7fogw+toOLZYroHXooV+Ldrr6/IV7VZfFS8GDao6UHCggdfa/qKWmmLbo9FUxgUAotCke2LRf2l7rZuPoct8dYgPGBR26HE1myKZzrnH0KK8KhlUju0tbqu1f7jhfLv0nFYXRqgFkyhs0MBpnTfXSunwkKuwaK6tsPVnNttoKjepRZY/dwpUqhJRV7GhNk46jp3dI+58K1jQ86HH+qNLFrvv2n/fwsoPGvfn3AcgVyypcUGKchVf1aGZF3o8zb3Ql4KdYIspHxid6HkVP8NCoYsfJg4AAIBXh1r/xCcqcTFzxONmN7zr3LB3A3hB/D8PAAAIlRbRtVCuhXkNW9bCt4IALXKrCkJVCFog10K5ftdi+NMHBuyqL97rFrp1f1UAaJHeL3TrcgUfWuBWsKBP9gerKXQbLfbPb6oqLqCLwodnb7nKvvD2ta6iQZdrIV8L5E3VhVkN+mS/thH8gJn29b7neuwjd2x2+6qKhnQ270ICv186JgUuup/2WQGF7qfWVFrw175qULZmS4gf3K2h4ar00DHOa6p2MzPU8kmtn7QvOk7tn86bAhBVRfjzpMAjWD2ix9HSv85HV3/SbVOhhPZXl6lSxD+WzoXuo/1UsKC2VcHnTLfxAciN5zW449Zjasi4qkZ0XnXOtZ0n//KK4vZUYdKfTLtAxtN9FZz4NliejuuSc1rtv77tPIZjAwAAvMq6u0etuiZhMZrDzyiJRMxu+cz99sD9+8LeFeCECCkAAEDofJsmfVeFgJ9R4WmBXAv9D+7sddcpYAhWWEjw0/3axsGBMYtN9EnS/wbbQvnbXr2601YvaLTzF2rxvsAP69bCvG/LpAXyjsbK4gBrbUML6GqtpKoLBQ/6UvWGZmx0NFa59k3BqgMt2us2GhCuNlaqZFCFgC7XbVRpoaDG7WtdpVuc17Z1vL7SQy2TFLoEz48qMYIDwXVedJ6S6aw7BwoDfJWHjqV+op2TD1l0P4UxqoLQtv1jic6jgpRMTsHIuN2/vcdVgARbbnmvO6vFtYrS9tTSqXso5cKU4HnVedP+6hjzJc+vQpJgEDJVGAIAAIBXz5bNh62yMmY11bGwdwWnSDRqFotHbeszPfbZz9xrPUdGw94lYEpkowAAIDR+4VqL9FqMFi2q+8V6VTNo0V3VFFro39U97IIAzWZY0lYIAYLb8HMaFARoEVwhhdo0+QoNCQ7gVqCwp+fYC3VtR9UWfui1r+DQd21vQVO1G5LtZ2TIh7+zqXh/DYf2raW0v/42fp6Gwg9VTmybqKhQKKCZGFr416yHeDTqKg0aJh5Dj6vQwFd66Lt+V/WEZlFoI3o87aNu7xf+FQQsqq6xwWTanu8dtR3dI+64FDqo3ZPOZ7CNk7bp515o29ofBTSHJ0IGBRiDY+liO6fekcmDyB/cP2bf3dxro+NZdz9tUzM8/FBuP9NCQVNLbYULM/T4/t+A2la5x0gWWlkBAADg9HvmmR7bu3fQEhVRi0azlmOG9rQXj0ctk85ZJp61Xbv67M47t9uN7zkv7N0CjkNIAQAAQuMXroO/q6JAn8TXQrc+Wa+Fd1Ut+IV+H0jody2mf+OBPZO2qQBAC95qlXTJ2a0u6AiGCj6IUJCg9kjBGRhaVFf1gmZJ6DH9/mkAtw9HFFIE91fb9/pGU+7TSqpi6BspzGbw/OMrKPAjJ/xQaC38f/KaQniyq3vEHYPClrs+dKmr8tDj6FgfmKjS0AK/Pzfalj+HCkm2Hx62FZ0N9tUbL3QhhMICUaWCKitkY3trsQ3Vlv0D7rg1CFsDvHUbtaZSuypVUHh+kHdtRdzOXVBo76Ttv339Artn16gNjxWGh+tybVvbU9ikc6d913OgVlRqX6Vt6zbFczhxHlS14Ss0gs+zf97VxkrVJAprGKINAABw6oyOpu2Jxw9aajxrc+ZU2NhY3pLJjOUJKqY3ffgrErFRzbXLR2zTEwcJKVCWCCkAAEBogtUNwcDCV1WUCgYNogoALZ4rkPDb0iJ/10DS/XygP+naPHkKCFSZ0dlYVWwNpW1qsV3VE6IFdC38+0VxzUrQ72qxpFBBcyN8dYDur8BDlQC6zg3rPlp47C0HBqdccPeL7rfc+UxxvzRnwh/3xs//zIUsWsxf95m7XSjQO5JyYYKqMBQV6Do/p0HbUqDhAwCdD7V78jM8PFUvqKJEx6J90ewJbXNBc7U7JtEx+AoPVXTk8oXGTBP5hDO3sdLtp7av5yufz9vlS2psz9BIsZLCBxJuboZZcdi4zoOGdKtKxVfBqDpGYYYGgOv8KSxSEOMrXIJVGDpPviUVIQUAAMCpbfWUSWetubnKRpOj7gMnCX0KP5OjomIaUxVFZW3MMhmzVDprmUyw6SpQPggpAABAKEqrIvyieenw5FLBMENzHX757BF7/bK2SQHGocEx1+ZJbZ9UWaDtiltyz5tb7A9WY+jT/u31Fba8s8Et8Ct02DGxmK7wQgv2fo6C2iL5KgJtw8/RUBslVVns6x214YmZEbpccxlUxaCKhvfu7Ssu1vuqBlEIoMt0Dlwbp4lQJJ/KuuoCza7QsfqZHPrybaaCi/jViagLGirjMTdTQ+dAVB1igYoUf57G0jnb35d0b0J1rP58qrIhHTE3LLy6QiFN4eg1z0LbEB8KndNeZ/ds77K3nj/fHtjZ60Ibz78F0uPrfKm6RPukxxHf/srfTt9V1ZHKjNqc2kRx0LkPPQ4PjNt4JltsfwUAAIBT4/DhEauqjtuSpc22efOopVI5F1BgetPbgYw+hBXJWy6bsyVLm8LeJWBKhBQAACAUwbBBC+f6BL4WzX0bIE+L1D4EyFuhykFtmnz1RSIWndRySZf7qgMttmsuhRa+tSCuxW2FAwoefDWEPuXvB1FrO2rVpMXypupEcQaE7q/taGi2Fu5/vOWQq9bQIrpaU+lT/6rMUIWBr2xQMKGQRPug7Wlx3lcA+EX33UdGbCyTs6p41P2usESBhYIQBQe+xZL2qas/aQtbalx1gi5VGKHHCVZ8aJ5EMp1z1Q75gbzb7/qquKtMUOiic+DPtw8ZfHsmP5tC3CDwvNnR0ZRVjEftNUvnFKtbdHw+oNFl/+FrD9nWnpTVNwy5qhU9p9onPU/uy5WYmxu6LToktWzS8fQn066Flm97pYoY7a+eH1VVHB1Ju23pcfTdn2eqKAAAAE6tREIfaonY8hVz7GjfUTt8aNxVULjBy7GIZbN8An+6So1nLBKNWG1Nwq747aVh7w4wJUIKAAAQitJB1lMNthYtTqtFk285pAV8tS3S5b7qonSA9q3XrS7OftCMCwURCi00KFvBg35XmyHdp7km4UIKfffhge6nCgkt5msmxEfu2FwMMvqTKRvPxNzP2iXf8kn30/ZUDaEgpLYiXgwoFEIojEhn8u42vprh5m896b7rOrVBqquMuQX7hqqEG1St/VA40tFQ6bajRfrmmgq3Dwok/FBsVUEo4NFjKqzQbArpbCwchyigCIYzvnpF50KDtnUMCjWkriJuw6nCz741U/D5UBCh2/vnYGhwyP7ggjMsGo0Wz4XmZvhAaHg8656/uoqYaxug50DPhY6vta7CVWponscNGxYWZ3D4mST+vJ7o3wcAAABeubPOabEavS4eSVssFrW6uriNjUXcB1fSmaxFcoUPsWB60XOmsKm6Km4bLznDVqxsDXuXgCkRUgAAgFD4hfKpWj95ulyL3pohoYXsQiVFpLg4rwVsP3NCVQUaOK3ba+B0cOCyFvaT6aRbFFfVgCoTkgNZdx+1MFpZnXBhhm4bbInk9/Ozd261kVTSfdK/o6HKxRMLq2vcQryfj6GQQUGAggkFGn7Qtvj3c1r4V3jiWzQFqdJCAYUqKFwlhOVdsJLN59321IpKraPUfimZjrkKEt+KKp3JuTZIo6mMCytUqaDvqjgJBjf+Z0+VE759lIIfX8XQWBN3j6/z9slrVkx6nnTOtV0dk59J8ReXzrG153ZYLBZzj6FWU9pXhRE6335OSFNNhS1pr3VBxO6eQiuuZKpQvRKskPCP5+de+GqK4PMCAACAU2fp0mZbd36H/eqXe6zrQNKa51TbQP+4RaMRGxxMWVZDDTDtxGJmNTVxW3Neh/3nP7nQfagIKEf8ywQAAKHzn84vXbjX7wojtOCvxfIH/vyNbpFbw631CX+FDv5+vkWRAozgwGotmOtT+ss76l1VgRbp1cpJNGhaVRq6rxbTNTfiptufcMOr/TZEsyZUwTG3odJGUhnrHkq5cET3cQv1ExUHWuDXwr6qMlQhoEHP+tJMCU8toM7/zN328K6j1lAVd8cgau2kkELbUSWEwg5tpyYRcxUOmhWh7wouNHtC50SVF6IZGKpUUNigSgoNw9Z3BQX3PdfjKkHEL/T7lk26nY5LFQ7aD4UKau2kIdvans51MBjwLZfU4kphzpmtNdYzlLIH9x+br6EKiEwu52ZpqFpCj6nnTudfz4POscIczdcoHHN2YjuFiokgPVd+wDkAAABePQoj3vXuNXbRhvmWTGYsk85bLB614eG0ZbM5qiimqUQiZovObLYb3nWubXgNc91QvqikAAAAoTtRKx/9rjkNWpj3FQhaBNfMCS2o+9ZA/n5ajNfivb+tn0+h8EAL637BXYvkWoQfTRdaOGneRWSimkGX7+8fK7ZFEi3I63ctpB8eLAyG1n7o8f1+qnWSKhOuWt3hKgL8LA0fQqjlkRbvFUT4GQyacaF5DXrTF5kYMK1A4+fbuovtrRR6HOhPFqsxbOL+WuDX/VV5ofupykPBhMIBnQOFI6q20P0UXqhqRPRdQY4PejRkWy2YdrvwYcgdiypH/IBw8RUp+l2VFH44tvZ5mypTknH7wLWF3VMw4fddIZBvb+UDJ9HzoUHlqjTx1RYKk4IzM/x3qicAAABOj4aGSvvPf3KBPfLQDhseidmcOdX29NNH7GhP0vr6xggqpiG913j9ZWfaDe9a7dp4AeWKkAIAAISudDE62P7Jz4wYSqbddcEB2woDgvf77J3PTLqtv660zZEfiL1+UbMblu2GWPeMuqoFVSWossDfPrgvwdkOpY9/y53PuIDgri0HJ13uF/cVkuzsHrau/jE3Z0JfiWjEBSUKBFS9oLZWzxwcKgYALqAYCAQUE0GK9lOXXby0xe2/D0m+dv/uYkAgquZQqKJAY29vctJsDZ1XnQfNfVDFhfahbyTl5mT48MQPMQ8OOXfBxKEhF2SoMqL0zWpwYLaCEIUifvD50vZa1yJL2w229tI59mGSbuu3HTw+wgoAAIBXX0VFzF57SZs99MCItc+ts507+6y1rcYGBsctmyGlmG6qq+NWkYgSUKDsEVIAAICyE1wU16yE6MCY+z5V1YWCCQUOWnDXbSIDYy4s8J/gn+rT+AoR/PwD0W39TAtRUKFFf18BoE/5axFdcx38bAcFD2qZ5BfQVe0hGhbt2xb5QEPU9igYeOj7/dt7XNig9lPa/+8/sb+4TxqMrTZJH/7OJlc5oUoJVUyoSkL7t6CpatICvq8O0e3effGiYhCg+yukUJsqT9UaOg7dT8ew9WCh5dXTXYNuG66KoqP+uHOtY1Zli4KJI8PjriVVdUXM3rqyzn7y1CH7zuP73WwPbUuhhKZxqGpD+6zQYmN763Hn3VebBOdX7O9Puuvv2dptFRNvqAgpAAAATo+165ptZLjWHn7wgPX3jVsymXbVu9lJH53BdDA+nrWxifcjQDkjpAAAAGUnuDiusEAL/1r8ltLQQQGFQgl918K7rxbwcxhKF7dLKyOCPwerEG5/eK9bNPftpRQ2BAc4+6HO/jFu2LDQvvHAnuI2RTMkxLdN0u10PAoUVMWhIEAL9POaqo+rgtD2dHsfnpwzt87N1PDH1zUw5mZjqApEj6ftaWC2FvuDQcAnf7ClMOuiImaNNQkXpqhCQffRvqh1k9ouKXBoqq5wA7N9hUkpVV2oOqKpJmG1FXFX5aH9/+WeUfvCw4XzLbpMg7KrEzF3e21f4Yk/D572QTNBRJUm7tx+8V6z/mO3UUsqZlIAAACcPnV1CfuP/2m1tbfX2W2f/7ULKfSBE0w/6XTOFi1sCns3gBdFSAEAAMqaFsYHkmn3fSq+dZO+a1Hft3zycxj0lZ+YK+ErI3y4IP5nPYaoikCL62qH5K9T+PHR7262e5/rsUtv+7md2Vo7aT6DHlOBxuuXtbmgwM+r8OGG9l2L73pvp8oC7Ztu9+RfXuG2v+4zdxcDCj3+H25cXAwaFEwEg5SFLTVu+HZhLkXOtbbSMGsNmPbbCwYxHY1V1p9Mu/spCNAx6bHVMkv7p+9L22rddb4qozSA8edMA641WDvY+mp4PGNPHspadqICY1f3sB0ZLrSBUpixtL3Onaed3SPuedJ58cGRtqPrdF78NtUOattEZYeCDe0/AAAATq+m5ip7/x+fb3f+n+fsqS1HbHw8balUKuzdwstUXR2zjs7asHcDeFGEFAAAoOwEgwQtVmvBW4v7voVT6UJ8sHLAt3zycxv8J/X9IOyphnTrZ4UZB/rH3H3Wn9lcbMnkF+4/8K9PuNvuPZp0cyW0uK5ZDgohXEsjDeHWnSPat0MutPAtjHRbvx+aO+HbOfnjUeWChmUrGLnlzavd9Vd/8V63OS3aB8+LAgkt3o9PnBcd75L2Oref/pz4UMAPGPcBhKidklo1aV7F1as7XYCix1Gw4itASs9R8HtpZcrtjzxvyeEh2zGQd7M8VOHhWljVJOxTE7M5FOJsPzzsKkv88+D31YdHns6XBn6rgkIBhY43OMQcAAAAp8/KVe22b9+g7dlTaMeJ6UPVL0vParE5LdVh7wrwoggpAABA2QnOQFClghb01TYouFgdDDKCi96+LZQqIzQXYV5jldVXJ4rbLG0XFfxZ8xEOD4y7uQt6bLUf8lbPb7AtBwaLv+vT/wootJiuVkoj/RO9XvPmhj4/ujs1KQBROKHh2KqM0OMotNB3Pb5aK1XGY7ZqfmOxQkHVD3qMvb2jlkxn3XnQfUVzGh7c2WtViagLBEqHep/VXuv2yw/4Dh6HbqMqDA3UVlWDrtfMDe2PQg8d+39923mT7vNCg83/53sutE2bNtnatWvt8z951rXJ0sBvzdPwz4sqKKS+Kj6pzZaeP9+uygcgvr2WwhXtX+nQcwAAAJw+r7l4vj368AHb+/xA2LuCl6mxMWGNTVXW3k4lBcofIQUAACg7flFc1QSax6CgQRUDWtD21QdauNbC/c7u4WLVgT51L6oc8MOgNWzaD90uXWCfKqy4+VtPukHTWlgPVmj8n5svmTSku3QBXYGDQpH66rirfvCDq/1MieUd9XbXhy51t9Vl4lv7KnRIZ3Puu7apcEGVIGrRNJhMW3Ig60IX/3i6v4IL8ZUGFghNfJgx1YBv7bvmX+gYtc+qZFAwkZrIWDTkWpdPdY6ClRr+XF+xst0e3D9mX9j0qPUMp1zbqiXttZPCJO2XAgo/rFvb0XOn9lFqV6WARM+j37ZaUKnCw59DqigAAADCceFF862lrdoi0YhFo2a548eWoQxVVkYsGotbW1utnbOsJezdAV4UIQUAAChbfo60KiEUPOgT/6oE8DRQW4Og9X1eY7WrLPDzILTwrtkPqhrYemioWIVRWoERpOtyKidQy6dFzcftj0KLYHARbD3VVl9ZbF2kMEPVAMvm9hWPITATuzhnwgcID+866kIDVUeoikH84rwPBjTr4b7netxt3fYmZj4ogNGCvypI/HwHv2/u64v3uhBA1+l37b8CAAUnuq0fzq1zpJBkSVutu3yqc6T90HOQiEVscWtNMaC5Z9eobTuasSWttW42ho4r2K5K+6efNai7cCwjbrC2ghvtf9fE86jH1Ha1De3viZ4nAAAAnB4dnXX2rnevsfvv3Wep8UzYu4OXKJeLWFVlzK68eqnFYtGwdwd4UYQUAACgbGnRP1it4AdRBysH1ApqUUuNWwTvHUm5T9/7IOEjd2x2QYUW37VQrgV/305I30vpcfxjqAXTi1VfeD740GPoZwUJCkdUsaAh2AowpmpZdP+OHjc7QlUUopkUJ2pHpWPRMWq76i+r41b7KF22o3vEBTW1FXG3+P/ZO7cW91eBQ36ibZSOwyZ+V0DgKy70PThg3B9TcJ91XwUHCii0D3o8hQ6aSbGwMW71DfV2w0WLjrWrGk27/RQ/u0PfVSWhIEgVF/p9bmOV2xeFLMHKieA5BwAAQHiuvuZsu3DDPLv3l89bPp+jmqKM6fW3Kl7i8agtW9Fil71xcdi7BLwkhBQAAKBsBVsGabFarYrUbslXS0hwUVttinwYEbyvLts90RZJP2veg2YnaBtTBQKlbZJONP/CP7ZfSA9++l+0EB+cCeH3UYGBZmz42RH9o4V3ess7G4rb1uNrALfmW2jGg2/vFI1Ysf2VjkmVB37+RCpT2I4GYyus0P6okkFVEwprFHSo+qJQeVLlggnf8kmVKtp3Pbb2t3RAuW/xpMfToPC+0bQLYTTEe2Vrwv7osjOK59eHR2pXpRZYuq32e/2iVhf+qLWThpQfHU3b4FjGXntWy6QKlRcLhQAAAHD6RCIRe+vbVtgjDx2w8fGMjY+TUpQjH05UVyessipmZ5zRaHPmMDQb0wMhBQAAKGvBgED0SXxfLVEaMPjbBmcqaMFd7ZcODhTCDS2Qq1WSFu31iX9VA0w1+0AtkRQCiA8hSoc++8f1X35x3Q+2VmVEMOzQfmlWhqjIYOeREbvk7Fb7+bZut0+6jxbxtW1VdGhxvyBl0UikWIEg+qbAoHT+hI5FraHUQikycRz+PqMKOgqH5Lat2/j7lh5j6fn3bZj8TIxnDg657apNlSopvv3YPntsT7+bM/GapXOK51Ptpqy/0J5Kx6bnQ+fJz/54ocf05xcAAADhWnd+p61eM9f27Om3QweHLZsNNjNFOVCFS3VNwhYsaLCWlmpbuLAx7F0CXjJCCgAAUNamWjzXYrwWv/Up/bzlXdsjP5NBi+kSXOTWwr0PNyITUxv0v/rEvyozdJ2/rYIEzXDobKwqLsqXtmAK7tP7v/mo/fLZI7ais96aayuKlReFAdJ1LiTQvAc/SyIyUYat69U26fHn+9xjqbJAVQ5+276S4tDgmKuQqIpHbXhiuvWR4ZT1jqTdsQbDGM9XbIgGbusxK+JRW9pWa/Oaql0YooHiqtDQoO/gMeq+ClV84OHbYum72lOplZTOuSooFDLoOPYOZFwlhT5lVxr2qEpD+6J90HU+yHn9sjZ37KqOKQ0iThSYAAAAIBxnLGy0s8+ZY7F4xL2W7ekZtbFk4bUpyoOqJ668aoktWNBo2587amcsbAh7l4CXjJACAACUtalmNGgRXUGCrxBQ+yJ9KWzwwUKwZZO+qw2RQgwtsPuWSQoRgovxuq2CD1HwUbrwX9qCSL/fv71QqbDlwKBVJ2LHLbJrgT4/EUiIwoHWugobS2fd/mpAd1d/0rVv8vMgvCXtta7dk6o+0qms229tS/df2l435XBpH1DsOjLiKhfmN1bbJee0FvdbA621PX3p9H3ymhWT7qvqkqGxjP16R6+7TBUdt1632h3rtoND7j4+9FBIoZ9VSVEqWFWi2RM+jNA51j7reXryL68ohiLB81r6nAMAACBcT/2m2/bvH7Ttzx61iNoKuWHMhBTlZHwsa48+ctCi0ZjV1Cbsggvnhb1LwEtGSAEAAKYdBQqP7+mzbC7vFv81/6C2ImYdjVWTqgL8grho5sJDO4+6wc/LOupdIBBcCPe3Vbuije2FRX1PC+ma5zCayrqwI9haqqk64eYqBCspShfZFRrsODxs6YlU5ehIuhimKBRQRYdaJAX3WcenORTavug4dbwKBxRo+P0rncMRDBNEoYyu95UVPmTQJ+D8EPJg6KLLgvxt9Hh+IHhMaUlx+2a/2JO0x7u3uaBIjyX+uNSiSmGGKlbUomuq1ll6XhSGCOEEAABAedm2tcf++Zub3XyD89a22759Q5ZJ52x42LcmRbk4cGDInnz8oH3oTzfYWWfPCXt3gJdMsScAAMC0orZDWsBXpYAWyYfHs3ZocNx9Yl+CLYt8GKAvDZjWwOq2+spJi+GaWaEFeC2oa9B06eBot+A+UXmgORK6TNvzraW0aN83kp5UDeD3wf38oUvtrLl1rhJCVRDBag8t5Gu/tK+qcnhq/6C7XVWi8DJNwcvTn7nSGqri7vEVVGiAtQ8XdCx+KLhouwptRMGNKkI0P0KzMG658xl3fLpe4YcGd/sKEn9MCkve+7oz3TBrtWTSvqkaQttvq6t0AYfOk/ZDVSHa15F03s24UJWHhmprZoU/Lm1DszlUMeLPh86vZoGs+8zd1jeSskwu5+6v+wEAAKC83Pur521wcNwWL2lycymWLW+xxMRrVZSXqsq4tbbVWFtbrWvFCkwXVFIAAICyNFV7JU8tmVSUUFcZcy2TCgOl89afLCx0q2rCV1AEWzaVDon29Cl/345JrZ+Cj6+WSlpwjwbmSGjosxby9TgKAGR/f9JVW4gW4L/xwB63kK92UJo5cfVEoDDV8fjAYttECys91sKWGls1v7E4x0HH5inAUHDggxi/DW9RS40LNHz7qJtuf8Jtt3807Y5PAY++zl3Q6H4vPVf+HOm7zq9mR+i7qkyaUgnXDqq+Ku6Oa0f3sFXGzN5+0Rn2vScOuOsUVCxtr51UrRKsatFlOucKJnT7Y1UfL/y8AwAA4PQaGUnZ008dcQvfmkHx5JMHrfvwiI2OFlqkonwok1h0ZoPNm19vjz/aZVf89tKwdwl4yQgpAABAWfLtlKR0sVrDnqMDZmfMqXEL4brtzu5h125IC91auFf7oMLw6cmL3lMtfGtewu0P7500uNoP0NbsClUXaFt3bTnoBlyrfdHX7t9tf7hxcbEFkqjaQvdTRYduI6ou0H0UBgQDE1VvaKE+ODharZIODYzbSCpj3YNjk85FNBJx4UVHQ5X1jqSKwYHuo7BkUtVHoH2UaD/1WKpmONCftHmN1cWB2QpU/LkShTwKS7RdDSPXdbqfqlaCLZr8fbsGxuzSBQlbd0aT/Xpnr42mRmw0nXVBkq/u0H6Utnny51zVGDUVcbc//rk80fMOAACA0yubzVtOLUdjUdu06ZAd7Bq26pq4m0uB8hKNRuzsc1qtsipuQ8OpsHcHeFkIKQAAQFkqXdQO8ovZWlgPVkb4nxUUDCTTri2UwoEXm3mgWQn6CvLF0X7+g7at1kkKHEQZhBb+333xIntgR49rA6WF/EhgAV6fZlKQoHZQemN31RfvtaFk2m1Tt1e48c8PPu/2UY9x14cudRUHqr7oHTnWAklxxzlz61xooMfSgr7aNul+weHZEmwf5QdSn7+w2d1WAYVaRandlAIThRo6Bt3HV5AEqxp0/lR9cd/2HlvaVls8f8EZFhoAvncgYt9+bJ/t6B5xrZsUzHQNJK17Yj6Fv732VeGMjknHovkaatWlio7SipepnncAAACcXnV1FTZ/fr09+kiXq6Boaqq0Q4dG3ItFtXxKpwsf1kH4EhURm9tRa10Hhmzlyrawdwd4WQgpAABAWfKL4X62Q7D9z1SDsYOtivQpflFgoPspoCgdEj2VYNWFFtFVmTGvqbpYndBWX+HmPOjT/woY/OK+wgV/X4UDukwtlzQrQrdVa6UHd/a6766d08CYJWLHPn4WrBzwQ8HV0qm9ocqFBdsPD7t2Vgo2FACoSkLBg0IEhR4ttQlX+aB9VUChkERhhq+IEM2kUCjQVlfhwgK/vz7U8KGAAiCFPDp3g8lCKyYdq7ZVev50n3w+b80RDc4uBBQSnxisrSHlfqi35mH4gEfHr3OrVk86rl3dhTkf/nmlggIAAKB8Pp2/8dKF9rN7dttYMm3V1XFLJtNWVR13L7aP9h6r/kW44rGYHTgwaLFo1C7aMD/s3QFeFkIKAABQ1oLtf/zvPrAorbbQdaqa0OL4so56u3liJoNmJ/g2UKWBxws9lp/H4BfyVUlxdCTtPvmvbakKwVdIaFlejxfch5baCjsyPO6CBbWSWlhdU6ykUAjy4y2H7JDaOkWtOGNCAYKGe2dyWRvrHbWLl7a4tlN+HoZCEt1GQcK2g0PuuHRZ70jazYIYTWVddYbocYOVEbq/qjN022AFSmkA5M+DZlCsrK53VSk69uD5E1flkc/bvmTKDg5misepkERBjQIKP9RbFRmi87S8o94dv86fLlfVxYsFSAAAAAjHay5eYKvXtNtddw5YT8+opVNZN5Q5m81ZNGaWy4a9h4hGzTKZnO3a0W9/+EfrbN35HWHvEvCyEFIAAICyFlxIL51XUPqpe181oU/oay5EcMaC5jCoBZMW8Xd1D085nHmqFlO+MqK0pVRwqLQW8YPX+cqNvtGUpTI5V8GgRX6FGP7xVDmg4dqaXaEvtVRKZ3NuPxWIKExQDYQqMDSPQhUHqlDwFRqqnlA7KQUDur/aMWk/NBdDYYTCAAUGfni2hn3rdjr+mopCO6gTVS1MFf7o5+C8Cs3B0M+ysCFemGkRKVRiBI/R39eHOgowVAWiy/WzrwbxFRcEFQAAAOUlHo/aW39/pT33bK8NDo7b4GDKtXqKxhI2PKTXwf5jMQhLZWXcKipitmJlq73r3WvccwZMJ4QUAACgrE21kK5F79L2SsHA4cPf2eQW+T/5gy1uwV4L+QoMtECvt1C6Llgx4ec+aIHdBxD6Xjonwe9PkCogFCQ011QUZ2T4SgK1MUqmky5c8BUFvoWVWkgpeAjy+3nDhsLxaT8VNHRNtEk6e25dsVpDi/rdQym3Dd1PoYGuU1ulnuGUa+ukORt+fyvv2GyZiePXYGsFBgoLgscTPKeerwxR8KKKDT2WKjZUCaF9cAFNPmN/8oalds15x8rKpxpY7sMJtaLS+XC3m5jDoeeDagoAAIDypE/mrzu/03bsOOpCCXX53L9v0A3VRrgqKqLW0lptHR11tnJVmwsrgOmGkAIAAEzLwOLqL95rWw8NuSHTcdU3B67/yB2bXRVCfzLtrvMtiPSpfVUYaIFdIYIW4xUW6Ha6XIvkEqzWeLF90QK73ptpmLWr1EirUmPElrTX2lWrO4qP44MUH1BocV8VEpctb3MDt3Ubf38t4t//5290j6Pb+xkRvhLDBx3aX4UkqubwlRG67OhIny1pryveTsGFwhqFJVXxmI2mM67aRNsNbkMVFmpnpUBCVSKl1SmqCtFttC2FHLdet9puf+R5e2RXrxuc/YNNXfbLZ4/Y65e12baDg7a/f8xVrQQHbfs2UhreXVqxwbBsAACA8lRdnbB3v2eNfeWfnnQDtA8dHLbh4ZT7AAvCpaqJjo5aa22rsbPPnhP27gAnhZACAABMS/nAzIXg4GfRHActlq/orLfm2opiSFDaikhhgRbftUivBXzdTp/218yHYPuh0qqAIP+4ur2v1NAcCs1ZcAOqP3Rp8bbBx5RsLm8H+pPuNrpOIYWOSQOyX/f5nxVbRGm/9fhP7O2bFFio0kMhiQIFHZ/oGBQq+GoI3c8PrFYlxPlnNrnKCJ0zbUehgdpMqRWUghPN8tg4EeIEj9cPD1/aXmt7e0fdLAnty+uWttim54+6x/ufv37ebUfnXgPDRdUgwXOlc6LH9VUnwrBsAACA8nf2OS32px95jT346312x//eaj/58fawd2lW8i1fpb6hwhobK93kt3nz6u2CC+eFvXvASSGkAAAA044W9GVBU7XlLe8W84PXqSpAVQpaMBdVUOyZaC8kWhzXYrkW3eur4m6wttoPaWFeLZL8J/59+yH/u4II3w7JV2X4sECP69tGDSUzLqTQ9cGAQ9/1mFrA176pgkK3ES34K+SIRsxdrmDh4MDYpOoOhQ8KEvITocFUVQjaL91G3/3lD+866qof9Lg6hvb6CqufGN7dWj9kfSMp23Jg0N2+rb7SBTW6/2fv3Or2SyGJqib8cXz2zmfc7ItdR0ZsMJm24VTeHtjR6yoofCXF4tZaF7o01ySKYU/wXB4c2F+s1iCgAAAAmB7mdtTZm9+ywl63caG99boB+83mw5ZlcHYoQUU8EbXGhkrLZfMWjUbsnf9hjXXOO9a2FZhOCCkAAMC0o4VuhQ5qGSRa9NZiukICzUvQgrzCB18psLi1xn0pmNDCuwIEDah+zdI5xcBB1/uF/tJqBF2uxX1te0f3SDEs8PviF+BV6aA2SOsXNbt2T76dlIIJvx3RtrSdpolKCfFhRSwScW8yVPXQ0Vg1af/mNVW7+RcKOLRNHbNCBb9dVVVoCLVNBCX6XffXfApVNNRUxF0YU5WIWu9I2trqh4rVGKomScQitrN72LXL8lUh0YFjg7O9BoVC/WPuPB8ZTk1cmrev3nhhsT1VV3/SDfnWcfpARecoeI6DA8kBAAAwfYwm09bRWWfbtvZYMklKcTppaHlDYyGcaGysssrqmL31bSvtwouoosD0RUgBAACmnalmGGjhXzMqVPqsigEt8itI0OK+ggAFGM8eGrJErNCGSDMk/AK9Ag/NSfBVC1o89y2UfCWEFuzT2bxrkxScb6HFdh8GfOOBPS5AUCXHk395hbtcYYIW/xWQiK+68BUZ/jG1j1rMd+2RcnkXLNw1MVTaBzJa+E+msy5gUQii2RfbDg3Z43v6ioGAHkuVIRrA/dDO8UmBysLqeDE8CQYEwRDGDemOmJs9oWHgOk+lYYsqMLZNnOu6ipilo3l3meh4th0ccudrQVOV2x/fGsqHOVROAAAATG/19ZWWzeStsanCcrlxGx8vVMji1RWLFc79vM56i0Qjdt7auTY+nrU3vmlx2LsGvCKEFAAAYNoJDmLWArtf+PcVAJov0TVQmMOwtL3OfdcCvBbVW+sq3GWlVROqQPAtoYKL9/99ItyY11jlKi9K51Jc9cV73fUKCkSPrRAjuB0Nj9ZttC3xbaEUXAQfU5UTWtDXddp/HVOwqkPbKXSwyrtj1mPn+61Y9aAARUGCtqEB3DWJQqCiQdy63s/k0Hb9DAt/PnUunzs87ErHFYJ88poVxeN0FRoTczR8wKGB5Hq8uQ1VtuvIkHsMH9boXGif1FJKVRcKNHylCAAAAKa/OXOqrbm5SnW3tmhxs+17vp+KitMgFotaNpezsfGMq2QZGBi3q64+y5aexcBsTG+EFAAAYFrysw0k+Ol8X6HgF+b9LAhVQTTVJOzq1Z3FBXot1qs9kxb2ayvibh6EggDxwYeGRGs7Wmz3FQVq66S5Ddqu2iop/PAzHzS0W1UWV3/x3uK8Cv2s0CEyEVA8c7CwaK/B3qqQ8PuowGJ+U5W7rcII387JV3Vo0T86MOa+iwZcay6E/9nvk1o2JQeytrClxs3Y8JUbJzp3ul6VFNp/HcdIqhBIeNo/BSU6T74CQ7fXedHg7Mr8uGkctt/mf33beZNaRJW2iwIAAMD0d+7qdnvssYOWy+aseU61pQ6NWDY7MdEZp5w+TBSLRayiImbz5zfYqtVt9vo3nGmXvXGxaxcLTGeEFAAAYMa0fPJhha8UCFY9+EX10iHaLqCojLm2RppVMdqfLc5QKIYbE7MjfDsmBRvavhbl1SaqYriwuJ9JZV2rp9J5FbqvD0/++cHn3XUV8ai7PFiVocqKwtuLSHHwdulxKuTQsGpVUej6VCbnjkuhjAIJf/y+WsMHFNpXbd/vR+k2Ve2gCgoFFDonft/9efXH48+pb5+lB7lmSY19a+uYC3k02yLYyspXugAAAGBmOf+CTrv33r2Wz+dt394BGxgYs5HhyR92walt9bRqdbvd/MGL7Lx1HTZvXr1VVbG0i5mBf8kAAGBaeqHZBr5Fk6oi/EJ5a31lcYi2r17w9LOqI1SVoEV/tTYKfvrfL8zrNrc/vNfNuwgu9KvNlCZOKDSorYi7eQ6RiWBEIYHfV7VD0vZ9WyjPBwm6RIOtFXxsbG+dtNAfDAoUKNjAmC3rqHeP5ds9BR3Um8SJsMG3jOoeHJs4LyNuNoXn75u3vGs5FQxH/L4Fw4bP3vmM2wffeuqeXaN2cKAwQFshjSo/1PJJ8zMUjDCDAgAAYOZZu67DlixptHt+useOHk1aNpOzaMwsR9enUy4aNcvlItbZUWe/++Zlru0TMJMQUgAAgBlHi+xqwaS2Sd1DhcXz0sDBCy7+p7OFAKG+Kl68XfC2qlRQJYYW+vVdMx50v5a6Chs5mnQl2N1D49ZeX2mHBsfs0GChcsFvX2GBFu0VhihY8MOkdd1DO4+6IdMttRWuUkLH8PSBAesdSbtQwVdI6P6qeFDlhx4/uG0/E0KVHgpadBzB37M5xRBmR4bH3f79ekevvXdvX/E49Dg6tuUd9cXjVsXE1sDMDV2u7SmgUNDyJ284y3bv2WPjkQqLRCI2r6naHtzZ6ypL9FgUngMAAMxMWijv7h61Q4eGLZ/LW3VNwqLjWRsdoZri1VBRGbX6hkr3PgeYaYjdAADAjKM2Spo/EY1EXCsnHzi4YdMTi/1a0Nd3T7fR4vzyzno3bFqL86/7/M/cPIng7TSDQgv0Chp0G1Vn7O9Luut0uR6vbzRlmVzefSkkUBhx//Yeu2vLQTdjoq2u0gUakcBj635qLaX7Hugfc3MrFFDYRKgQrBBRQPHjD11aDFF0XL79lCo9+pNpN1/i1utWuzZQ+j0XeDfTVlfhvmv/FDj4bWi7upmGjPtj1r10mUIVBRm6XNUb2v7chsriNlWpovOeyuZcBYUCEQ3u9i2nAAAAMLM8cP9e27yp2+bPr7clS5utuak67F2asfSauq2t1s2eGB4ufAgLmEmopAAAANOSWg5pgV2BgiocPC2IazFfLZk6G6uOm/tQOjja/+7bN4nCBAUFomoMP6NC29FCvvUfmwWh1lFP7R+0o6OpYjCgtlDfeGCPu4/CA1/ZoRZMR4ZStrS91rVzCrac0r7mJ0KQkVQh9FBHKBd8VMTc7z7U8N99KybNgVClg6owVCvhh2Zrf3UuIhPbb6xOuMdQ5YT20Z8/vx0N3z40MOaqLtTCSiGMLnP7HxhCrmNQ6KHv335snw0Njtq2oxlXSaHzqH1RSKRh45r/EZxvAQAAgJnhrjt3WGo8Y+1zG1xVhV4LZvYXKpNxalWq3eyKFqusjFtlZeG9ATCTEFIAAIBpSQvsfoh1MKTQgrgb6GxmS9rrplwc9+GAFtQVQGh2g2Y2+IHX1YmYq3TQ4r9aGgUHSWuB/5Y7n7Ge4ZQLFLSIrxZMHY2FSgL/eGoHFZl4jJ3dw257oooJHxLosfVdQYZmUSjw0PZUDaFF/sjEAG3NiRA/gFv7r5DGByG+KqIinnEhib+Nwge1jtLxXL26085f2FxsP6Vz5n8PDhPX/bVf/aNpN3dCFRJ3fejS4uNof9UmSiGFQhnN3Ti7MW71DfXFEEPBytL2uuLvwTAGAAAAM8PR3qRFopHifISB/jHL5fIWiZrlySpO6TyKVee2u6Bi/QWdVl2dCHuXgFOOkAIAAExLqgDwlQCeFuW1aO6rBvxCva8m8CFCcJC1AggFB4WKgkOu3dLFS1tc2yK/uB5c9Fd1gQIKzVw40J90+6BB0Rp2rcfR9ao62DMROiiA6Oofc5epIkIhgB5bQYBCFgUSi1pq3P39/Ai1fZpqkT84I0P3VzChEOX1y9rcHAhVXmgfFIL441P1hiiI0GOpbZNCk0JFxLjt7B6ZmIWRcL+L9tGfs9KAQcejNlqad6HzvKtnxCrzcfveBy+0WOzYp7qmmukBAACAmaOjo9bV26ZTWYvGIjaaTLt2RK5dqOUtR1DxiuildTQatdbWGpvbUWPz5jXYpb+1KOzdAl4VhBQAAGBaUiVAsIJCtPDuKxI0Y0G0UL/t4JB7s+QHVXulw7QLcx1SLqDw9w9uWwGIqgtUKSCazaBwQ/fz16mtky7Xor+roLCIVcSjrj1UkO6n0EBBw47uEXvN0jluOz40eaHqA4UlChAUSiig+OqNF7rj1NwLBR86zuCgbt1WFRUjqay7v0KWgwM9Nq+xygUUCi5EMzB0Pz+7o/Qxg22x/P7d/sjztqG1cH8hmAAAAJgdrr7mbPv5PXvs6NGktbRUu4CioiJmo6NpAopTUD2higm1dlq8pMlWrmy3t79jlS1c1Bj2rgGvCkIKAAAwYwRDB0+L6lq8V0rhZzmcaEG99P5+YV4BhMIPVTtouLbmNqiS4oYNC4tBia/Y2Ns76iohFAj49lHLJu6jAEJtmjTvQa2SJJ3NucoEtZZSmKLQQAGGr4R4aOdR14rK76+oWuPoaNodj6o5NNxbjzWvsdrNzFAbKrW80n5rwLb2TY+p2ytAaa5JuFkbmhmhL4UrzTUVtqS99oThSHCOhw9wfOXKd7vHbPGZh+ya8+afkucRAAAA5e+i18y3N12xxP7Pvz9nXV1DEy2eqKB4pdUT8XjUqqoSdtbZzfbajQvtrW9bYeeubrdEglkUmLkIKQAAwIzhQwctnmuBXwvuqk6IR6Nu8V8FELrOL/b7ECLYmigYWviFeYUTi1tr3P1fNzEzQtUHaqEU3I6fNaHrFQioUsFHI77iQkOlFWD4qgZVQyikePz5vmKooduJ9ksBRXAmhuQntqoKDYUifltqJ/XJa1a4sMQGCrfzx6FQJRaNuGDFz6IobWf1QhUQUwVAbv7H4WFXPaIB2oQUAAAAs4c+6f/xv9hoczvr7M7/85zt2HHUksmsm0mh17gKK/Q6EcckEhHLZo8PcnTONNpD8z0SFTFraq6y//SfL7C3vX2Vq1ABZjpCCgAAMOMEP/WvSgot9GsBX3Migov9wdu90IBtPxtCVQ3bDw+7Fk2iioXS7chouhBCaOC1Bk8XruuxtvpKW9JWa093Dbrb6U2b5jpo/oT284EdPS5YCM6g8NsPhgMKQxRE7Doy4h5Hb1t0PwUnPiwJ3kfb1rBrH4Co+iN4vCdq7RQMLqZq46TrjwyOWTI5Zn9wwRkn+WwBAABguqqvr7QP/ZcN9h9uXGPf/c7T9oX/9oj1HR11lQDDmuM2fqwt6Gxs2eRCh0TULBKxeCzqZnUkkykXUkQiha+q6rjV1laY5bMWiRTaZc2bX2/rzu8koMCsQUgBAABmjKnmJmgxXxUKanOkWRXBxX61WFK7pb6RVLHyonQhXu2MtI2NZ7W6sGNoLOM+GaaAQa2V/OP476qkUHupwsDAY9dpOwor/PsMVVksmRiOLdpvDfb2P0tpdUcwPFDgofZQMr+pULFxZFiDsIeLLZl8RYkeW9UaLzbrwj+GhnKresPvw4nouitWttumTZts7bkdL/2JAgAAwIwyZ061nbmk2c49t82ee67XBvrHLecHuc1C8XjEVUTU1Sasta3GKipjdrR3zPr7xiwei1kum3UBRmNjhVVVJ9yHjhTopNNZ9z6jrbXGlp7VHPZhAKcNIQUAAJgxppqboPkNogHWpdRiSVURWw8OuUV8P/vBb0tDpzXbQW8UNFPCt2xSuPHgzl5XSeHbR/k2U999fL/bVmN13FU0iLYzlEy7llFuNsVEe6bgcO9gJcaJqjuCx+eqGCaGYivc0HVdA0k7ODBWHJy9q3vYzZ5QtUZ7fYUbqq0Q5YWCB93vpQzvFh2vH5y9du2LPDkAAACY0TQ0W19r1rTbIw93WSwWsXShm+msouChsanKOjrrLKE5dCqX0Gy4moTl83lLp3Nu0PiRI6OuaiKTybubpFIZSyTiNqel2lae2+ZCDGC2IKQAAAAzxlRzE/wCvhb0Sxf/1y9qtl8+e8RWdNa71kn9o2m3wK8qBbV20hwLDaPuG025CgrNmljYUmODyfTEXImkC0H89nRfbUOzIhQMKBBQaKHLRPdR26n+ZNoNrH6h/Z4qIPDBxK7uEfdYCkGCgYMqJvy8Ch1rLp83fYBNAc1IKuMeX/vjh32/2Dl8oTCjGJrs6bOhwbh94EWeGwAAAMxsy5e3usX5gYExy2Rys3IehdozuYrr+kobHBi3pqYqi8ULZdgDA+MWiUTs3HPbrbGp0ja8ptJ+85vDdvDAsGVzeaupidryFXNdqLFkKVUUmF0IKQAAwIwx1dwET+2a2uqHiovwqgJQJYWqHpprK6x5RMFD0lVH6LZq2aSCh4UtcTeMWi2QFC6osqI6EStuN/jeS/f1v+/uGbWDA/tduKFPRiViUfdzKpNzwUdwiHfpfvufP3vnMy4YaapJ2Kcm5kgoFNnfn7RIf6FKpHTwtz82Xf7U/gE3MFu9b1UFooBC30/2HJbS4+rTYKqkAAAAwOymyoGNl5xh/+PvH7PKyrg1NZt1Hx6dNWFFTU3cvcZXBUQ2m7O6ugrr6xtzbxjSmaylxrP2mtcusHfccK59839udsOx33TFUtfiaXwsY0eP9lhjY4ursFizZm7YhwOcVoQUAABgxgnObpiqBZSfu6DQoL4qXpxdER0ozJlQSyf/Zmpv76j7rsV9HxhcvbqzOOTat3QS3VfhgT4JpT60qtRQEKLHiUcj7nJfgREZKIQMUwUCfv8f39M3cfus21/xlRKasaGfg22iSoddf2TPZnfbxuqEq554oZZ0xQAAACd+SURBVAqKkxGcSQEAAABcd/1y+863nnZDs1VNUVUVt1Qqa9nszE8qNIPjjIWNtnhJo217ptdaWqutoaHeRkZSFovF7LWvW2Af/tMNFo/H7MknD9mmJw5Z5/w6N88jWp2woaG0DQwM2uvfcKYtW94S9uEApxUhBQAAmHFKZzcEvwfnLiiguPW61cVFfYUGauWk+RHzmqpcm6ZkOms3f+tJ62iodK2TlrbX2fkLm4uzKRQeqK2TAgAFFq7iYjRto+msCyh8BYMeTyGFpxBEj/VCg6vb6ystkxt31RCaJ+FbPPkwwh9LaRij49Hv6WzehSp+ILfffmmYAQAAAJwKqqBYvrLNmudUWX/fuG3b1mOVlVHbvWtgxldUzJtXb1detdRqayssmzFbvqLVFpxR71o/rTlvrq06t80SExXZf/Qf19t3//fTLqjYeqjXVSfr/PzO755t112/gnkUmHUIKQAAwIxTOlehtA3Ssrn1k64PLuxvOzTkft94dqu7XgGFhmsrJLhwcfOkQCCdzbnr/JyH4GwKVWAoaFCYoSCk0H5p0I6OptxtVOFQPzGXorTyww+uVpspbUuDvf19StsxKSBRqKGqDb9//tj8jIqg0jADAAAAOFUKMxfabN/eATtvbbsNDY1bV9eQxRNRy6Rn7pyKRCJql11+ptXWVbjfa+sSdsmlC+3qa499WCioubnKBRUHu4Zs/3691s/Z0PA++63fWuWqLoDZhpACAADMOCeaq6AFf82U2NU9bEva64673i/sDyTT7ru893VnFmc5KIhQoKDh1Ytba2xeU3WxWqL0sTVPQvdTtYUeVwHD9evnu9BCIYm+B6shpqr88DMofHunYEWEaF++dv9uV+Hx4M5ee/ozV07aD79dfffnY6rKEgAAAOBU0dyFB3+93w4eGrE157Vbd/eIa4U0kwIKzZzT8RTyhIhVVcUslcq569TeqaIiZmcubnrR7XTOq3df2WzWNm06/OrvOFCmCCkAAMCsocV+UVXEVNUEPmB499cfLi7ua46F2jvpZ1/xsKdn1FUtfPXGC0/4WAohxtI5F2Io9JDW+sriXAxPYYZmT8ypTRxX+SEKJk7UnkmX+w5SzTWFqowghSFb9g8UK0eCxwgAAAC8Gs46a469812r7dvfesoOHRqxtvZa6zowaFmbGaJRc7M2xsezFotFXIurREXU4vGojY9nbPfOfjv/gk7mSgAvAyEFAACYNfyCf2klw/u/+aj9fFu3NVUn7LPXrXaXq1piV/eIXfXFe124sbtndMpKhNIZD6UtpfT9/h09bhtTVS+4eRWprJs74bfnKy+0vz5Q0DYlWKWhFk8rO+uPG+BdGpToOwAAAHC6vHbjGa6S4PHHuuyxxw7a87v7rbu78Hp6OlZMBDU1VbmQQi/YNSA8m8m7GRLPPz9g9UcL8ydufM95zJUAXgZCCgAAMKuojZMCCL+or6qJ+7f3uIqEoxPDqX/8oUtdm6X9/UmL9Jst76x3lRMKHHwA4UODqQZW63c9hn88PdaJqhfUKuobD+wpbkvUksr/HtymfwwFFKoGUZXGk395xQmPldZOAAAACMu8+fU2b/4yu/Z3z7Ef37l9WoYUpQFFQ2OFtbbWWCRauE6BhVpZzeust9/53XNs9Zq5tnpNeyHEAPCS8RcDAABmjeBgbB8IaPG/qbpi0kBryU/8XBEvfALKD7V+aOdR+/WOXovqY1WBAEDBhQIPX0GhcCL4WCcKKTTnwreT8ttSwBGsvCht26Rgw8/JeCG0dgIAAEA5iMYirjVSOc6m0H5ls4WdeqF9bGursYs3LrCKRMwymZxr7+TfNLz/j8531SMATg4hBQAAmDW06K8WTn2jKbfgr3BAQ7SPDKdsTk2FzW2sLA6nVvWDqir29o7azu6RYoigsGBoLGO1lbFiRYUPMHwFRVt9pb3urNZi0OEDjKnmSkiwpZNuo0qOF2rbpGBDXwAAAEC5i0Qilldn00hh0HQmY2VDnztSQKE5E6qsjsa0j1EXUmSzOTcAOxqN2Jq17fbBD22wn92z23qOqCIkYqlU1trba+2a3znHLn7dC394CMALI6QAAACzxrHWSSm34K+Q4tDguGVyeRvPpOzcBQ3FwMDfVgGFAglf1dDZWGW1FWmrr07YAzt6jptVoQoK35pJYYNmTHziB1tsZLwwKtDPrVA7KT9LYqqWTkG0bQIAAMB0tff5Actmcu7DO+VURaGAwhVHR8wqq+KuUnpsPGMaJaFwIpuLWkNDhZ2/vtM++/k32tlnz7HXXbLInn6q24aGUu66Vee2u5ZPAF4ZQgoAADCrBFsoKTzI5fMWjZjNa6w6LgQIhgMKDq7+4r2uhVN1Ima9I2k7s7XGzaoIVkio+mJxa03xvgofFFAEg47StlO67wsFEbRtAgAAwHT18EP7ramp2mrrhm1osNB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xli9fnqctxXhtjm0a2l496J9ZUajdrUlXJWGXVTua3cDApnI6eHKJe63ft8IPFyygWLmj2VVGRMNB18fi5R3NuuEPK12lRXenH1rlrm15mmkDAACAcRN86YIS18Tasx4U1ovCBhfZXsKFHsSOO9O9/tUVpqUrr+w9oPDZ83bG5fr1UrjjZwSr4ojOP17Zhl0KRAr2+zMBAADkNaR4z3ve0+Pj1qRj8uTJXR6bOHGiqqurB/weNr/W/vJfeyDrwMjT2/d6z7ObtHRjvTtD7c4rTuxc5t0nzdK9z25RRVFE5x45RU+t3a1dTe2u94T1qLCG2Ltakjr3yBKtqm7SpSfM0psOn9y5/urGjiqMUDCgqpKoq8qwYOOeJZv1uXPn608vVuv7f1unTXVtSmWy7v0fuvq0vbYXveNvdWziex2b+F7HHr7TkYXvYWwa6nHTQP/d8HefH25/B0MKVE5y0y1ld2yQkgNrmB098pSuDzzwgLR1a/9ebBUVDz4oXXzxq+ubf7wyzQ1yHTHG6L8H/r3nB/s9f9j3+cF+33/ss7Eh7z0pehKPxxWNRrs8ZvetUdxArVix4oC3ZzDWgZGn+/d6clVGzU1hd+2fffb01nb9c32bisKetje065EVW1VRENTLtUnFvKSmFQe1sTHrgopfPLtJyYynLTsbddvilTr74CK9sjupuj2VGOGgp3cvLNBNS9qVysqt097ntsfrtKom6YKL0mhAlYG43n7zYvf6U2dyRtJA8Lc6NvG9jk18r2MP3ykwesdN+/v3y9/98AsWlqi+PS15AYXKp6pg5wYFB/L6soldH7j//oFtgC2fE1IEyiZo5c5GeeOgeod/7/nBfs8f9n1+sN8xXo3IkCIWi6mhoaHLY3agXVAw8B9sjzrqKIVCof1O4uw/DgeyDow8vX2vVjn/0W7LfvGJpzoDBJMKhHXlWQt03z+3uIoJ8/WHV7lKikg4pJkTCtTUntILO9u1udnrDCjMZafM0UffvEANoVX69XPbdPTsCn13eUonzJuuRGC3m1f26tcf6ta9qq5epWUhffSCV8v50Tv+Vscmvtexie917OE7HZnfB8aHwRo3DfTvl7/7/PD3+6RjTlFm9T8VmDFLqeadUktTR4+KfrApmrqoqRnYRnRbPlhQpKOPPkaBSNewbCzh33t+sN/zh32fH+z3/cfx79gwIkOKKVOmuOZwuWpra/cqZe4P+8M+0D/uwVgHRp5+fa+Brof7O5sS+tIDL7nKiQVTy1zz7LZkRql0Vg2ZrI6cWe5es6OxXQ3xVwOKsxdO1hcvOMLdfmVnixKprJ7b3KD2VNY1wHv4E682rwsGg+4x60fBv7uB4W91bOJ7HZv4XscevlNg9I6b9vfvl7/7/IgdeYpSiValt6yRAsF+BxTGS3ZMRdtpypSBvXm35W19ma3r3DaNdfx7zw/2e/6w7/OD/Y7xaiCVocPmmGOO0UsvvaT29lcPoJYtW+YeB4aTNbEujoYUDOyppMh2VEe0JjOup4Q12m5NZFQUDWnB1FIXLFx71jydPq9KR0wvc6+x1yYzbpZWx5prF0SCmllZ6K79Rt0+a7j9sw+e3Nl4GwAAAOgJ46bxKRArUMEp5yp2zOkKhCIDem22ySq4c1x00cDevNvyXqJd6Q0r9w4/AAAARntIcdJJJ2natGm67rrrtGbNGt1666164YUXdMkll+R70zDOrK5pVtaTCiMhK5BQLBxUeE9iYY20LZQ45ZAJ+tY7jtEfP36GCxb8kKGyOKpoKOheu6s5oYdX7Ohcp1VQbK2Pq7k9rZ88tVE3/GFll/e1ZS+/Y0nnawAAAIDuGDeNY6GwMru2K1hWIYX7P9VS8sVnuj5w4YXSzJn9e/GsWR3L58jUble2rUnZpvp+bwMAAMCoCCmsrOmHP/yhdu3apYsvvlgPPvigfvCDH2j69On53jSMMxZCnDi3Uu85ebZee1iVvvuuY/W9dx+nhdNKVV7YcdZS96oHP2CwCgkLMCzMWF3drJsXr+lc59yqIld9kfU8pbOeCypyAwmr0Fi6od5dAwAAAD1h3DR+ZetqlNm5RaFJM6VY/3uQJP71mLxE/NUHwmHpttvsH1PfL7Tnuy3npVNKb1/fMUduYE/pOQAAwGjuSbF69eou9w866CDdddddedsejG8WGFhAYIGChRDd5YYI3adl8p8z9trzbnrc9ajIPWy3+zZN1PTyAlU3JTpf56/L3jf3GgAAADCMm2CyzfXyUkkpViRl0h1BQX96UyTiSix/XAUnn/PqY+eeKz30kHTVVdKWLT1XUFhAcU7OayTVP/lPNT61WYWTS9TyUlITjkooVhkbjI8HAADGmRETUgAjSW7Q4N+3wKCnEMEPNKxywqZysmub3ql2zxRP15w1r7OKwu7b7Ya2lKuk+ML5h3dZv8+fNgoAAAAA9hLsmBTBcz0mrJLB7vQvqGj/+28VPfJUBYs7euh1BhXr10sPPijdf79UU9PRJPvii6W3vnWvSot0c4tqf/d7bVlRqILZRYovW6uCCVs0+02zNOsNsxTwm/oBAAD0AyEF0AM/MLDA4fP3r3C9I1ZsbXSP5YYHz22u16+XbXVVEfa89Zowk0pjemZdnXvt1y86yo0ZVlU363uL17jbVg190MSiznX517kVHIQUAAAAAHoSqpquQFGJMlvWSOGIlLTQItuvYops4241//wbKvvQlxWIxLpO/WShhF36kGlPa9mnf60J3k5JcxTXDFXOq1Dbzjat/c16hWJhzTiDKccAAMAo70kB5Jvf/NoqIyyAMHbt94iw63+s3a3bntigxnhKkVBAxdGwJhRHXAWFNcy2fhMWbtiy/ljBljXzp5a6CovubFkLNz7zq+fdNFE0zgYAAADQnVVBROYcLqWTnVUVbtARsNv7rmJIb1qtph//l7KtTQN632RDm5752H3a9kydWprLpGBYrdta3VsWTytWKBLU1sVblW63KagAAAD6h5AC6INVNFjz6w+cNkeHTi520zhZcGCPWwjhmz2xSLtbk24aJ6uYeGJNrTJZT7Fw0C177VnzXDBhz6/d2eoqLbpXSth6LeCwwKMtmXHryW2c7TfkJrgAAAAAED3yFIUtqJAfTnhSzhilJ/asv4gFFY3f+3e1P/NnZRPtfb4u3ZbQ5t/+U/94/+3avXybspmA4s1RtccL5FkBR7ZjpUVTi9S6o1VNG5oH6VMCAIDxgOmegD7k9oawgMBvlm1VFhWFUdW1Jd316YdWafPuzUqks50H/TalU2VRpHP6Jgsm1u1sVXEs5KaRsvX500rZMhZQbKht09yqoo6ToLo1zs7tk8FUUAAAAMD4FohEVfC6t8tLxJXasVGqq+lIIGwgku2oBjd95RY29VPrA7ep8cF7FTv+DMWOOlVe0SQFCwtcMJHY1axtf9uoVDKi2WfP0kk/eK9CBVGlWtNK7m7QK7/drm1P1qi9vl2FVYUKRoLKpj1lU6++PwAAwL4QUgD9lNss20wpj6khnnTXNi1UPJVxA4CKooguWTTTPWaVF36wkPv67o257facqiKdOLey134U3d8fAAAAwPgWnjBZhadfID37V6USccku6Y4pZs0+Cis6pVqS2nn/Uu347hbFWwpVXNqq2JRyzb3sDB3+b69RuCjaZflYlaSDKnXK8XOVak1pyyNbtf0fOxQMBRQtibjAAgAAoL8IKYD9qKowNoWTXyVhDbSXbaxXZVFUXzh/YZ+NsO2+VVLkBg5WRWHjB3+5nl7X/f0BAAAAIDzrMBVXTFK8bKKSLz0jr6leymaVTba7lMIKK3IDi2zWCi2CyqRCbgxSUJRybS3SiagLKAqK2zXh2Jk68mvvVbS8aJ/vHymO6OAL52rGmdO17BvPacIRE1Q0bd+vAwAA8BFSAAOUGyDYtE/G7ts0rGWF4c4+En6okBss+BUUFkpUlcZcuGEVF9ZQe0dju25evMYtZ42zrS+FVWIQTAAAAADoS7C0UkVveKeC5VVKPPE7eZmsUvGAgtm4QqGOdCKdCiqTDrt+EtbCIhGPafO6aaqY0KQps3apualI2UxIE4+drmO+9X6FYpEBbUOsIqaTv3qSki0pBfxkBAAAoB8IKYAB6t4bwkILCxP8XhJ99Y3wKyf8aaBWbG1Ueyqr4J5j+MCe9VtA4felMD1VVgAAAACALxAMKnrYMUqvXyEvm1VrbaOi7ZsULUgo3lKg5oZihcNphcIZZTJBxQpSqpjYrG3rZyiVDisaSytQXqWjbnjn3gFFOi098IB0//1STY00ZYp08cXShRdKoVDnYqFYSAVRa+INAADQf4QUwAB17w1h1Q+rq5s1f2pplymgeuJXVvihg037ZJUUdv3U2loXTNhtCzEsoLjmrHnudTTNBgAAALAvwbKJCk2ZpWz1ZgVKJyrTukMBJVzVhLyOCop0KuKme4pnQorEUkokI1r34iEKhVM65gsnKFbRrZ/En/4kXXWVtGVL18fvvluaNUu69Vbp3HM7H6aKAgAADBQhBTBA3adw8g/BB3Io3lN/icvvWOKCiEmlzXr442d0eY6m2QAAAAD6V01xvNp3V6swuluZaEbpTESpZEShcFbpVFjtbQVu2WAoo0g0rWQyqnhbgaKlxTr44sP2DiguuEDKZHp+Qwsu7PmHHuoSVAAAAAwEIQVwgK7JqZ7oq+Ihd8omkzt9kz1nfSrmVBX1GETQNBsAAABAf4RnHKzYiWeruO1Bte9OKN4aVTYbUjDkKZMJy/MCri9FrCChRHtEqfaoe928dx3qmmB3meLpyit7Dyh89rxVWqxfL4X5iQEAAAwcRxDAIMqteOjeRyI3wDC5tz9//wo1t6dVWtDxJ9n9tfSkAAAAANBfkYMWqODEFmW2rZcXTqupMahkqlCZdEdAEQhmFY6mtWX9dGXS1lPC0+xzD+m6EutBsXVr/97QKioefLCjTwUAAMAAEVIAByg3fPjZB0/uDBFs+qZn1tW55tjGAgbrNWEVE6cdWuUes/4TfkBhWhMZtz6TW5FBTwoAAAAAAxGMxhSeMl2hslZVBVpUvz2iRCaggqKMQpGM6nZWqmF3mTxrjBeQiqYWd12BNckeCFuekAIAAOyH4P68CMCrLHw4cW7lXtM02f3iWKgzeLBwwfpWrKpudk2yLdCwptn2vFVQfOC0OTp0crELMiy8yF1nb+8BAAAAAD0Jlk1QoLhcoWlzFJo8U142qIA8tbUWaOOqWVr30lwl4tafwnOPd5nqydTUDOwNB7o8AADAHlRSAAeoe7+I3KmZvn7RUV36UNhJSqYxntJ5Nz2u6sZ2RUIBXbJopr5w/uFdmmfba25evEbfW7zG9b2wUAMAAAAA+iM4cZpCU2YpsX6d1iyfoV2rKpSOe2qpiymbDkgBT4GgJy9jDbcDSrWmuq5gypSBveFAlwcAANiDSgpgkPlTM/nVE7lTQF171jydPq9K5YURvVzdrLq2lNpSGVdR0b15tr1+1Y5mrdzR7IIKAAAAAOivQDCoguNfp6bWqapf06Zki5RqD6mgOKVgOOt+DvAy1o8iqGw2qNYdrV1XcNFFA3vDgS4PAACwByEFMEgsZLBKiO5TNfXEelIURWxAIHfthxIbatvcY3bb1lMUDbkpovwKDAAAAAAYyJRP8dJj1RYvVdaLKBz1FC6OqGBCVMGo/3OAXQe18Q8dvfE6XXihNHNm/95o1qyO5QEAAPYD0z0BQ9RAO5c/BdS6nS3a0djurmdPLHIBhAUW9lw0FFRBJKjmeFoba9tcVcVBE4tcQGEVGAAAAAAwUK01KWUyIRVMrVJbdZtCXkgB+yUg0N5lubW/XKsTv7Do1d4U4bB0223SBRdImUzvbxAKdSxn1wAAAPuBSgpgkFjlg4UMdt1bgNHQ1jHPq11bEFFVGnNTPdlzyzbVqz2VVWlh2FViWDhhlRWTSmNdel4AAAAAQH+FCjrCg0hxWNGyqDLtaSUak8qmsnJnTe2Raklp7a/XdX3xuedKDz3UUSnRE3v8D3+QzjlnKD8CAAAY46ikAAaJhQ0WMth1d/7UTxZg2PP+de6UULnPPbW2VjWN7QoGOh4HAAAAgP1RNqfUVUckGpIqnFTggok2v/9E7ryyAen5m17Q3AvmqGBiQdegYv166cEHpfvvl2pqOppkX3yx9Na3UkEBAAAOGCEFMEj8wCE3ePCnebLHuk8BlSu3UsL6WlhTbc/rOLGpp9ADAAAAAPpjwsIJqji0XK3VbS6oSDYllc14CgQC8rp1v2vd3qq/XvGo3vzLcxQuzPm5wKZ+slDCLn3wvI71AgAADATTPQGDxIIGCyJyAwd/mie77i8LNKw/hYmGg3024AYAAACAvpQfWq6pp05V0eRCFU4udNM8WZAQLgkrVBTq+qtAUNq5dKcefuef1b67a8+KfUk2J7Xj6epB334AADD2EVIAQ8gCBusvMZCgwUKOQyYVu6me7NruW0WGVVjYNQAAAAD0VyAY0Pz3HKYpJ09RvKZNwXBQwUhQwWBQoWjIVUyES0JuObsEo0HVvVSnBy/4vV7+6SqlWjv66vXGelmsf2CDnvnKs9r85y3KprPD9tkAAMDYwHRPwBDoaZqn3Mf6aoTtBxHzp5bqmrPmdanIMDTRBgAAADAQ1jB7+mnTtOOpHSo9qFQNaxrdKYuZ9owLLay5dqYwIy+ddcsWTStS/ap6/eOzT2vp9f/Uoe84RHMumKPiqUWKlERcMGHTR218aKN2PLNDXkaKFIU14YgJyiazbp0AAAD9RUgBDIGeQoX+Bg223IbaNleB4S/XU78LAAAAAOivdDyjSFFElQsqXRCxe2WdkvVJBcIBeZmsvIynbNpT8YxiVz2Rak2711kg8fJPVrnLXgLSpBMmSVlP8Z1x11cvGCOgAAAAA0NIAQyBnkKFfQUNVkFx8+I1ao6nNaeqqHO5/lZgAAAAAEBvIiVhBUIBZZIZlc0tU7ggrO1P7lCiMeF6VNhUTwUTY6o8fII2/2mTvHTXptq9STUlFS2PKZPMqvKwCgX39NcDAADoL0IKYAhYmNA9UOjpsVwWULy8o1mBgLSwsLSz2TZTPQEAAADYX1mvThnvRRUfVqupZ21V4+oqxWKHqXh6saacMkW7lu1SuCisdFtaFfPKFS2JKNGUlPqTUXhS0/pmFUxKKVYZ0+QTJg/DJwIAAGMNIQUwQjTHOxrShQIBbdrdprU7W919pnoCAAAAsD/S2WeVzDwoT7U20NCUs9pVOCehlnVz1L7pHBVNLlJBVYGaNzUrWh5VpDSq6iXVyrRl+v0e2VRWqeaUpr92mqqOmjiknwcAAIxNhBTACFFWGFGwsV2xcFCpjKfiWKhziicqKAAAAAAMRCa7SsnMr1y5Q1CHKRAIqniCFEjvUrRsneoCi7Xr72eqdHaJq6Cwhte7X9ytRGPSNdJOW0+K/s34pFRbSoWTCxWKhYb6YwEAgDGIkAIYIa45a56b2mn+lFKtrml2AcVzm+v1+ftX6JJFM/WF8w/P9yYCAAAAGAU8z1M6+w95alMoMK/Lc0WTJylWFVbJtFrNOKlcseIFKppapA2/36C2XXFNPXmqal/arfqV9R1BRX9kpN3P7x6aDwMAAMY8QgrgABxIU+vur+2pYuIzv3percmM7lmymZACAAAAQD+1KuOtVUATujzqKSvP26GstihQvF3R4h8oHDxd7c0nav0DuxSviStRl1AqnlI2nd332wRsvlqbV0pq3tIydB8HAACMaYQUwAE4kKbW+3qthRiJPQMDmwIKAAAAAPrD81qU9XbKU0KediugSnfJ6BVlvY2SbHwRVKY9qF0vrNKGX9arZukkRYoKFY3GlIln3PRP+xIIBlzVhrttgQUAAMB+IKQADsCBNLXu6bW51RV2ncl2HPBPLS8YtG0GAAAAMDZ5XlapzGNKZn+hjJZJalfWi9hpTwqowrpHuLDCAordz1do20OHq3ZZiVq2eMq0J+SlggrGQkq3p/rVj8IFFLZcQKqYb+sHAAAYOEIK4AAcSFPr7q+1gML6T7QmMu6+BRW7mhOugtr6VQAAAABAX1LZR5X0fqKstkkq3TMfkw37U/K0fc/cTGVqXBXS+ruOULqlSJlEQAVVAWUSScWrw4rvaFMq3s9eFHuKLUJFIc275NAh/WwAAGDsIqQAhrFPRV/P3bx4jRraUiqKhrr0qQAAAACAfcl69UplHpGnegVUpIDK5GmXpCZ5bnqnlGsekfW2a8ffXq90ywQVTpWa1gcUKfIUKswo1SIlatPyMv0oo9gjEA1o+hnTNf3MGUP6+QAAwNhFSAEMgIUMFib41Q09hQjde010n8Kptz4UTOEKAAAAYH9lvdXytE2eMgqoXAEF5KlqT/8JG4NY8JBV+85CNa+dqqIpIQVCHb0kvIwULPAULgwoGQ7IS/c/pIgUhhUri2n13as19eSpqjp6outVAQAA0F+EFMAAWMiwurq583ZPIUX3XhO5wUT353IDDAs9bLqn5va0uzZUUgAAAADoD09xF0JYNBFQSJ4LJRrlqXHPEtbnrl3ZREbZdJMUCShcGFOsMqj4LikaDSrdElIg4HXkGvvum+3OtEq3Z5RoTGjnP3epdvluzT5nlg5+61yCCgAA0G+EFMAA5PaJ6K1ZdvdpmnKDie7P5QYYP/vgye7a70vRWwgCAAAAAN0FXA+K6J6pnZJuaidPda6SIqCYiy6kjKIVcYWKWpVqblGoMKjyhWFlVabE7klKtXrKZrIKRYPKpLK2eN88KZvKqv7lOh10zkHu9uY/b1H5wWWqOtqqOAAAAIYgpEgmk2pra1NFRcVez2WzWVVXV2v69OkDXS0wKuxPn4i+XtO9ssJfzgKKaCio4/7rL7pk0Ux94fzDD3jbAQAAMHwYN2G4hQILFAzMkeftkqcWea4HhZVDROSpXVKrSxUiZXFNe+NLattaqqIZLUq3xRSpnKT657NqWT/dTf3kBQKuEmKfvSmCcsu11cRVs7RGk46fpGw6o5pndxJSAACAfrNTLPqlublZn/jEJ3T88cfr1FNP1dve9jY9/fTTXZapq6vTG97whv6/OzDK2XRNl9+xxF0PFgsqrKpi2aZ61bel9OtlW4f0/QAAADB4GDchXwKBEkVD5ymomXuaZO921RRSg5v2qeO2VVN4mnLaBk06aZMiJW0qnbNTk097RVWnrlTh9HqFC7OKlEQULgwpGNvHTwZ7MoxAKKBUS0p1K+sVLYmqaUOTPK//fS0AAMD41u+Q4utf/7q2b9+uu+66S/fcc4/mzp2rD33oQ+5+Lg5EMJ740zXZ9YG+vnsAYRUUlUURdz1Y7wcAAIChxbgJ+RQKnKhY+GOKBM7u7EHREU4USpq0J6TIKhRLqvigekUr2tW+q0SZRFATj9uqwz6yRFPP2irPS8jLWkPtbMdL/DSiO0+uybZVU8QqYkrUJ9Re365g1Hpb0JMCAAAM8nRPf//733XHHXdo4cKF7v5xxx3nDrRvuOEGpdNpXXHFFe5xDkQwnnSfrsmX2xC7r+mhcl/vBxDW88J/rT/Nk7+++VNsntne+2EAAAAgvxg3IZ/s31U4cLRCgSOldKmSnoVjExVUietP4WnXnsDBmmanVT6/TqUHx5VNBhWIxFU2f7eKJkfUsr5ELRtK5WVDCoSz8jKBjpd5dp7j3v92s+msC96sn0V7XUKHXMxUTwAAjFUXX3yxbrzxRs2fP3/4Q4pgcO+ii8suu8wdBF1//fUKhUJ685vfPGgbBowGuT0kcu/fvHiNVlc3u8DBf76nwKKnfhW1zYnOZtr+a209G2vbujTYBgAAwMjDuAkjQSAQVDi4QKlMoTzXlyIoTzY2sdvqDCrsOhjJKhhxCYSCoZQKZuxS8UE71bqlWKGCgBRKS1lP2VTY9atQZu+gIpvIqv6VBgU8qbCqQBOPmpiXzw0AAIbezp073THtYOp3SPG6171OX/7yl91lwYIFikQi7vH3vve9am9vd2XNK1euHNSNA0YDvwLC+IFDczxtx/Huuqfn+3LaoXbWUa0LJr63eI021LZpblWRTpxbSQUFAADACMe4CSNFIDBZwcAsZT1rol23Z+onP5wwuYFaR0gRCHkqm7tT4eKEFMy6XhNWRREIScFoRl42q2w8Yp21u76ZJ2XiGYULwwqEgtr08CYtfP8CRYo7/v0DAICx421ve5s+/OEP661vfatmzJihWCy21/NDFlJ87nOfcwfa7373u3XLLbfo9NNP73zO5lidMGGCOzMIGG96mvKptDCsYGPHdW9TQnWXG2ZUlcbc7YnFERVEgi648Kd+AgAAwMjFuAnDyfNalfFeVMZbLXlJSVMVDBQqq2pls9vleUmFNFmeipTRUv9Ve66tLMLCBr/CoqPKIlTQrKoTt6phxQwl6gqVaooqm/Kk4J7XRdJSMvpqzrEn9wgVhDTttdNUPqdMO5fuVPG0Yh1y0cF52CsAAGAo/fGPf3TVww899NBez1n18JCGFKWlpfrOd76jeDzeYwnzRRddpLPOOktPPfXUgDcCGM16mrLp2rPmdZniqa8Kir76TVg1xe7WlFbXNA/hJwAAAMBgYdyE4ZL1qpXI3KWst14KBF2j66zWSmq1f4kKqEhZbVVWL+0JI1I9rMXb01jb1/FvtuqkbYrvWKfGV6ao8aVKxWsKlc0EFYpatURa8d1RtXtZ7UyllfSkklBQc6aXqXJ+hft3H5tQoJpnazTr7JmKlu4JNAAAwJiwePHiQV9nv0MKs2XLFv3tb39zJct2RtCsWbO6PF9eXq7zzjtvsLcRGHX2FUz0VkGR22/CXp/bgHt/GnMDAABg+DFuwlDzvJSSmfuU9dYpqIMVUERprZSnpj0hxW7rMLEnnEjuqZro15olRRUtD6hq0SZlE2UqntWs5rVlitdEFClvV8vuYu3aHVPG89TiZd0Zk7vDnrLJhAo3NOjgQypVUBlTy9YWxXfGCSkAABiDmpub9eCDD2rjxo366Ec/queff16HHnroXse9/bX3qT29eOyxx1yDt5tuuknf+ta3dMEFF7jSDgCvBgeX37HEXQ9kOQsaeus3YQGEBRfdgwg/2PAbdgMAAGBkYNyE4ZD1VisrCygOUiAQkee1K6tX9gQUoZxQIvd2f9jynmIVSRXNblYgHFeytlDF0wMqmJhVNh1U9fYi7UilFFJAJeGwSkuimjarVJGCsF5eWau63XFlM9bfwnpZdOtdAQAARr1XXnlFb3rTm/Sb3/xG9957r1pbW/WXv/zF9ah49tlnhzak+NGPfuTmVV2yZImWLVum97///fqf//mf/XpTYDSGDX2FEPbY5+9foWfW1fUYHOS+tnvA0FsQ0Ze+gg0AAADkD+MmDAebxsnz0goECjrue1Y50bBniN++J5iIS66yor8Ce6Z+SkvBJhXPqtOMczYpXJZSsiGiSHFU6WixXmgPqaUiomxRSCXlUZXMKFZhVaFKSqNKJjLaurXJVVBYT4ri6cVDtg8AAEB+fO1rX3PHu7/97W9d5bC58cYb9Z73vGe/j3v7Pd3TSy+95N4kHO54yf/7f/9Pt956q+rq6lzzN2CsyJ1+KTc4+N7iNVpV3aza5kTncv50S3a7NZFRcSzUGRxYIHHz4jXuUN+KpjfWtrnH+9tIu7vuUzwxzRMAAMDIw7gJ+eCpcU84oT1BQ0cT7K5KFQ2+TZHguQoEprmeFZ7a5Hk7lMr+Scns/ZJa9rw2qEAwpYojN+jIQ3cqseN4eekz9KfHp6u5dbsOnVWh7I64EputcsNTOJtVKBRULBZU4+YWZRcUaMaZ0xWKWmUGAAAYS1asWOGCiu4uvfRS3X333UMbUiQSCRUWFnbeLy4udvetnIODbYwlvYUIXs61H2RYY2sLLxrjKR06uVjXnDWvMzywZVZXdzS8XjC1tLPyYX8Dht7CEwAAAIwcjJswHAKarkAgJM9LKBCIyesMF/YOBQKapljoY4oGL1Qg0ENlQ2COwsFTVeD9h5LZ3ymR+aE87bTuKW7ws3LlLD21+Fz948lWrV79guJtSb34cq0KQkEVt2UUSXoqD4U0r6xQU2NRBSpCmvvWuZp2GmMWAADGogkTJmjDhg2aPbvrb6fPPfecJk6cOPSNs4HxoLcQ4dqz5u3VxNqqKqy6whwyucRd27ROtoxdLMSwSorc8GJ/7W8FBgAAAICxJRRYoIAOVlZrFPAO3tMwu6OfRG4VRSiwSEXhWxUMVO5znRZgxELvVST4ZrWlr1I6u0F/+v1C/eF3M7X2lU1qbgopFJRaW9Nqa0lrQiDggpJEwNO2bFJr4+2aX1yod733eM0533pl0I8CAICx6Morr9QXv/hFfeQjH5HneXrmmWd0//33684779SnPvWpoQ8pqqur3ZlBuWpqahQKdT1bY/r06fu1McBIlTvVksm9bZUUNhSw+7nVDn6fCf+1vtwpmwaCKZ4AAABGB8ZNGGqBQFSx0LuUyNyljPfynn4UMUkdJ1D5AUVx+OedfSv6KxiYoOLwXVq97ov66x8rFQo1qKioXWWlU9XUnFRdbbuCibQaFFBL0FMkGFAgHFRjIqVd9Wm1/uwFVR1VpVPOmK2SkugQfHoAAJBPNq3T5MmT9eMf/1gFBQVuqtO5c+e6KaDOO++8oQ8pLrnkki73LSm57LLLOs+QsPt2++WXX96vjQFGqtzwwXQPIrrLrXbo7bUEDgAAAGMT4yYMh2BghgpCH1Uq+4TaM7fIc82yk+4S0FRXQbFXQJFOSw88IN1/vyVn0pQp0sUXSxdeKOWEaPa6OTO/omj0J/JUo2gsKnlBNTa0u3qNlAJKeZ4inpTKeEplsvI8q+HwtGJjvT73yb/qzDcfrOu+8FpVTSoa/p0DAACGzNKlS3XGGWforLPO6vJ4MpnUI488orPPPnvoQopHH310wCsHxoqeplrqadql3H4U/n1/2iebGuq0Q6t6fa3xqy7mTynV6prmLhUX9pxftWFTTxFyAAAAjDyMmzCcAoEyRYLnKJ39m9JenTzNsbod14Niryme/vQn6aqrpC1buj5uDS5nzZJuvVU699zOhwsKSvWOd56on/xksxLxUjU2tmh3bVypZFrZPQ374ha4eVI4GHCNs9Oep0xW2lnTovvueUkvvbhLN//wXB12WMc4CAAAjH6XX365nnrqqb36ra1Zs8ZN9/TCCy8MXUgxY8aMfS7z/PPPu/mnvvrVrw54Q4CRrPtUSz0FBH7AYGHEhtq2Lq/zqymqSptd9UVv/OVWbG1Ueyq7V/DxcnWzO0Pp5sVrCCkAAABGIMZNGG6BgA3rI+52UBF5Osw1yd4roLjgAilj1RY9sODCnn/ooS5BxamnHqfrv/p3rXyxbs+b2Xt0XFtOkfHcTcWCAXc/le0ILVqTGWXSGS15ZpvefuGvdOm7j9AnP3Oqioo6thMAAIwu99xzj/7rv/7LVQNbVfBpp53W43Kvec1r8tM42+ZbfeCBB/S73/3OdfWeNGkSB9sY0z0pcisbch/zA4Y5VUU6cW5ll2oJq4yw4MGu++K/JreSIve5ZRvr1ZbMuIFAT9sEAACAkYlxE4aK/VBgIUVQc5RVjSLB0xUIFHWd4unKK3sPKHz2vFVarF8vhTt+KigsLNCJJy7SsqXPufsBP6SwcCLQEVAYm+7JAgs7zcq90pNCwYCyWU/NTQndc/eL7mSrz37+NEUiXXuzAACAke8973mP5s2bp2w2q/e///26+eabVV5e3vm8hReFhYU67LDDhi+kaG9v15///Gd3gL1kyRJ3UHTCCSfo4x//+H7NOQWMdLl9JXIrG3If84OI0w+t0hfOP7zL6y1wsMoIu+5vxUZuw+3cx/1gwqZ+WlXd7Co3CCkAAABGHsZNGA72o0AgUCLPsyqFoCLBrvNDux4UW7f2b2VWUfHggx19KvZ4y4XzdcsPO0IKCxr8qCPkdVRTmJTX9QeGjFVapDsejBWEFIkE9egjG/SWCw/TMcdOPZCPCwAA8uTEE0/snN50+vTpnf3WTF1dnSorK7s8NhDuJIj+evbZZ3Xddde5cg67TiQS+vd//3cFg0F95Stf0bnnnqvwnjMugLHEQoHu1RG5j1mg8OtlW9WayLggwu6fd9PjevNNj7vbPb1+X/wQxA8qjIURfrNuf0Bg193fDwAAAPnDuAnDLRQ4TJ7Wu3mYgoHpXZ+0JtkD0W35GTNKXMlE998cvG4/KPi3LcSwnhXenktDQ7sKiyKqq4vruWWMVQAAGO3C4bDrPfHyyy+749zLLrvMHfdaI+1Vq1bt3zr7u6C9SVNTk04++WR97nOf0+tf/3pVVXU0v/rWt761X28OjNaeFN2nWrr8jiUuoIiEAq5Jtl/lYGw5P1iw19my3adossetz4Qd91+zpyl2T826c1nzbL+Rdvf3o7ICAAAgPxg3IT/8vhQWEXTr+1BTM7BVdVu+pCTqxil+SGHBQyDYMZ2TzfHkAok97+yfSJUr0Z5RzY5mlVcUqr4+MdAPBgDAqPPKC4cqYGWFw8izEscze/o/8eCzKUvb2tpUUVGh3/72t3rllVd033336cEHH9T111+vu+++e8DrHNDpO7FYzCUllpAkk8kBvxkwWvXWf2L9zhZ9/v4VWnRQpU45ZIILKDbWtrm+FAumlrqDdD9ksHXYshZmmNwgwda3ek9TbFvGf76vsKF7H4zu7wcAAID8YNyE4eapUUHNVVZ18tQiqSMYc6ZMGdjKui0/YWKxnnvhKm3b1qwHf7da9979olpbkwpHQgoXBdTclOp1Va5vRUBqbEyqckKRpkzJ6ZUBAABGpWeeecaFE9OmTdMjjzyiN7zhDTrmmGM0YcIEXXDBBfu1zn6HFIsXL9by5cv10EMP6ZZbbtENN9yg+fPnd86lur/zTQGjQff+E34QsGR9nRLprJ5YU6uTD57g+lFMKu1oeN09YLB1NLen3e3uDbRteQs4Nu9ucyFGbjVEXw2y/e2IhoJatqlelyyaSRUFAABAHjFuQn5EFQhEXZlDIrFTRQVzXn3qooukgZzRaMvnCIeDOuTQCe5yxpkH6avXv0733fOi/vebT6u6ulXBkJTtpSe3VVwE9zTQDgal4xcxVgEAYCyckJNIJNTY2Oj6rn372992j2/durVLM+0h60lx7LHH6otf/KKeeOIJ3XHHHTriiCP085//XJlMRtdee63uvPNO1yQDGGtye0p8+KdLdc29/3LBwKSSqHs+k/X05JpaPbW21k3tZGxapxv+sNJd+30pSgvCCgYCezXQdlNBffwMfesdx7iKjNxqiJ56U+S+zt7PAor6tpTriwEAAID8YtyE4RYKHOqG90uXpPTgA6u7PnnhhdLMmf1b0axZHcv3waZ/+vBVx+uJpz+gE06c1mtAYbys39hbWrCwSvMX5FR4AACAUenss8/WJz7xCb3//e93ocTrXvc6/fGPf3Q92C7cx3HEoIQUPjvIOPXUU91ZQU8++aR+8IMfaMGCBbrpppt05pln7teGACNZbsPqv6/epXTWc9dfOP9wLZxW6uZjtblYN+1u66x8sGDBQgO7tp4R9phVOvghhC13+n8/qiO+/CcXZvRWMdGfptu23sqiiLsGAADAyMC4CcMlFDhcWzZO0i/vmqK///1pJRLtrz5pTdpvu00KhfaxklD/lttjYlWRHvjDpTr51Bm9LmOVFMXFYZWXx/SWC+e7qgoAADC6ffWrX9Wll16qE088UT/96U9dZYVNcfqRj3zENdTeHwPqSdGTSCTi5p2yS3t7uytvBsay182f5AIKu/b7QqypsXlf5aZ+8oMGf1onq5qwqZz86aJyKy22NnQMHizMsOX8ZUxuYNHTFE65oYaFJXYBAADAyMS4CUMpk31RS5bUqr4+qtKyNv31L0t1wVte++oC554rPfSQdNVV0pYtPVdQWEBxzjldH3/kEekb3+joU3HxxR1VFjkhRmFhRPf98u06/dSfaNvWV6vFbWqnktKIgoGg611xyCGVOv+CeUPz4QEAwLCy3mtXXHFFl8fe9ra3Hdg6+7vg97///QN6I2C0yw0Fbn//iZ2P2/0VWxtdvwmbzim34uH42ZUuPMh9be7rrPG2TdNkFRC2rP949x4Y3d8/t2l27jIAAADIL8ZNGG6Z7BbFM1/XSytK1NRYrvVrS1W97XGdceZxKisr6RpUrF8vPfigdP/9Uk3Nq+HDW9+6dwVFba30gQ/YBNMd962vhYUZt97asa6ciopP//up+tTH/9L5WDYrtTSnFIkENXFioT7xqVNUXNwxVS4AABjd3ve+9/XZZ+1nP/vZ0IYUwWBQCxcuVHFxsTzP63E5GsFhrOotFPBv54YQn79/hQstLLzwl8l9jR84WICRG0L4/PX01JvCZ9UZc6uK+pwGCgAAAMOLcROGk/37SmR/rKw2qKnpeG3fWqLS0qRSqRp9+Uu36pvf+pgikVjXqZ8slLBLX+LxjuDCDyh8VoVxwQUdVRk5QcW73n2EvvLFv6u5OdklqCgqjur6/z5L51FFAQDAmHHyyR2zxPjS6bS2bNmixx57TB/96Ef3a539Dim+8pWv6JFHHtHy5cvdfFN+qfKECRP2642B0cIPFGzqptrmhAsH7LHeggpbxgIK61thVRLWbyI3wLDb63a2aEdju1tX7mtzp4TqXh2RO4WUhSCtiYzrb0EVBQAAwMjBuAlDzfMSSmdXKpP9lzLaolT275KSKixMq601pEmT02ptiWjxIzW67rrv6b+uv0pFhWX9fwOroLCA4umne34+k+mYNsqqMiz0kFRaGtOl7zlSt/3ouc7FLIerrIhp2tScag4AADDqXX311T0+/tvf/lZ/+ctf9KEPfWjoGme/+93v1o9//GOXiLzlLW/RU089pXPPPVeXXXaZ7rzzTm3btm3Abw6MdBZGWCDwj7W7Xd+IxnhKq6ubdfPiNXsta82xn1xTq6Z4yk375Nve2K7HX6ntDCssiGhoS8nOqdu8p9G2iYaCSmWy7rqn7fCDDutdYQFFJBRwgUhuBQYAAADyi3EThlIgGFfK+7kSmZ8orReUzW5RJtOgbCahM8/arNLypDasK9WG9WVKJMJatnSrLn/v/+rBB57s2ky7J6mU9H//Jx13XO8BRW5FhU0blePCi+Z3uW9FRFu2NOsTV/9ZL724c78/MwAAGB3sBJ2n93UMMViNs0tKSnT++ee7i3Xttjd+9NFHXUfvqqoqnX322frYxz62XxsDjDQWDFggYOw6mc52CRdyqxj8Qv7Swoh7/MdPblDWk7uYbQ3tnctbEGHNt63RtgUeFnCsqm52yy7bVN/jdjyzrs5NH2X9K4xVYWyobXPPUU0BAAAwsjBuwlAoLn1WGW+VQoG5SrQHtW3HUlVUeooVZjX/8J064/VbdO9PFyoYyuqo43aprDSpXbsSuvmmX+j3D92jd7zraB2+4FRVTapQLDpTgUBOH4p/+zfp9tv7vzHW1yJn2qjp00v3WiSdzmr9+npd99lH9aPbLtC0HpYBAACjy/bt2/d6rLW11Z2oM2PGjOEJKXJFo1G99rWvVVFRkbv86le/0m233cbBNsaM3CmWrILBrq2iwgILCwee21zv7ltwcO1Z8zqnhbLHgoGAygvDstmG6/ZUTtg6bJ1WnWGs4sKe9wOKcDDQGUJ03w4LKOx9bR02HVRPzbgBAAAw8jBuwmDwvAYVFq9SQFVKZxOq3rlEkehuhSNpeV7ATff0tnes1UsrJujIY+p01hs3ywYbRYVpF1q0tUXkhZZr667btKs5raPmPaJweNKrb7Bx48A2yBpv5ygp2bsxdkdLFk/r1tTp4T+s1QevPG5/Pz4AABghzjrrrL36q1mfrGnTpunrX//68IUUlow88cQTWrx4sR5//HH32Ote9zrdeOONOv300/drQ4B8yv3Bv3uvidz7H/7pUjflU0VhpDNssL4TFkpYE2zziV8sdxUSsXDQBQ5Pra1VUTTUWf1gVRPWs8IsOqhS2xriml5eqNLCsAs67P26b0/35ty5fTLs+jfPbXUVGPZ+/nYAAAAgvxg3YTBlVaNgqFWeZqm1dakUrFcoGFEqFdLuHVG1tYY1bXqrvnLjM9pVU6Tm5qjKypKaPrNFwaCnHduLtfrlSs052NPUaWl5apWUE1JMmTKwDeq2fEvLq02zffb7RSqVVSqd1d/+tlEf+PCxNI0HAGCUe/TRR7vct/+3RyIRVy28v/+f73dIUV1d7TbADrCXLl2qKVOmuNTk5ptv1qJFixQK5ZSJAqNMbtNq/373wMIsXrXTVTxYZYSxUOCeJZtdNcR5Nz3uqiUsoPBZ1cPana2uf4Q10t7a0O7CC7ukMp4LFtpTWZ04t9JVR/S0Pf425IYVl9+xxD3vV1ckMx3vmRuWAAAAYPgxbsLQ6Rj0e6pRKl3vyhSKSpq1a2dMjQ0hbd9WJE+eJk1q10vPV6l2V6HmLajXrl2FSiWDmjAxoQkTEqrfXeCqLlKpnYqE57y6+osuku6+u/+bY8vn2L69ucdKimzWUyadVSKRcbdDIUIKAABGsxn7OaXToIQUr3/96xUOh10DjM9+9rM67LDDOp977rnnuixrywCjdVonq47w+1B0DymsgsIPKPwgw0IKe8wqKhZOK3VTNlkgURwNdU7T5DfKNtbXQuGgCy6sksICBntfCx78YMTfntyqidzQJHd7LZhIx7NueqmepooCAADA8GHchKES1Axl0hXytFFZL6vikrgS7SG1tYS0eWOpyzBiMZvWKazKCQk1N0VdINEeD2vqtFbF20KaOqNVLy6fqPKKhNZteFJHHX7Sq29w4YXSzJnS1q373phZszqWz/HA/at7XDSZzKqlNaVp04oVCgUPeD8AAIDht2DBgn1WSdiUT7bMyy+/PHQhhb1JKpXSP/7xD3fpzf5uCJBPfpWCBQUWUBTHQntNq2TTNhmrgqgqibrnXWPtZEegEQ0Hdc1Z83TDH1a6igl/iqep5QUqjobdWU32p2xhRlsyo1RALqCwCgq/MiJ3W7pXTfjP5W7Tk2tr3brtPfypogAAAJA/jJswVAKBYsVbjlBl1SrFYkmlUhklEtKuXcVqaoy6aZ0sqUinAgqHswqFrdIipaaGmFKpoLZvLda2LaXatrVElZXtOmzBv3TYIe2KxQo63iAclm67TbrgAinTMcbpkVUD2XI5VUHNzQndd8+Lvb4k0Z7RC8ur9fOfPq83nXOIpkwtGdR9AwAAhtbPfvazLvfb2toUDAZVUFDgjn9vuOEGffrTn1ZhYeF+rb/fIcWqVav26w2A0cSCh9rmRGfVg4UBz6yr0z/W7lYmazFDh4ACnUHBso31LnQ4eFKxCwms50SgsV27WpK6+p7nlPGkCUURPfflN7nXWshwsy2TUxHR/br7NuVe+1NBWYWG9ccwp0+uIqAAAAAYARg3YSi1thyvoNYpHP6rPC+lrBdQOh10PSdamqN7plPy1NwS3fO4tHVLiV741yRl0kEVW2jRFHX9KbZtS+rMM57UGWec/eobnHuu9NBD0lVXSVu29FxBYQHFOed0efgX976k5ua9e1L47MeLXbta9dADr+iV1bv1sWtO0tRpBBUAAIwWJ530avXlz3/+c33nO9/Rl770JV20Z/rH0047TZ/85Cf1uc99rsuygx5S9NS1260gHFZZWZkOP/xwvfe97+1SzgyMNvZDvx8CWJBgbFqmeCrrmr6FAgEXVuxqSWh7Y9wFGt96xzGd0zGZ0w6t0is1LV16UzTsCRP89xhIoNB9+dypnv64YoebSspu99b8GwAAAMOHcROGlBeRl3q/anctUySySzXVRa5JdkN9gRoaYlp4ZJ01rVDNjiI3zVPd7gItXzZZ7fGQjjh6t1paooq3hVVSklQ8HtYXPvcv/e7B12hiVVHXoGL9eunBB6X775dqajqaZF98sfTWt3apoDC7a9v07W8+3edmB4JW8dGuwqKw1q2t1x//sEYf/PBxQ7WXAADAEPrJT36ib3/7226aU59Nc3rCCSfoxhtv1Dvf+c6hCymuueaaHh/PZrNqbm7W888/r3e96126/fbbXUM4YLTyQ4D1O1u0vbFd08oLFE0G3TRQh0wu1qTSmF7c2qi6tqya9oQPFlZ87Q8rdcMfXlZ9W8cZRNaTwsanVmVx1oLJfb5nT42ye9I9iLApqHY0trtra9Ldn3UAAABg6DBuwlBbvXKCnn/peC06+Qkl28MqLEqrPNuuisqkqrcXKRjyVFqadGHESy9MdFNBHXF0rRubtDRH1N4eUkNDkZoaY9q9K6VL3/lrPfiHd6uwMPLqm9jUTxZK2KUP8XhK73rHb7Rt695Ns3NZbJdMZrRpY6OOXTRN/3qu2oUbXcIRAAAwKtTX12v27L1ng5k7d65qazumyx+ykMIv3ejL97//fX33u991JR/AaJQbAti0TRZSlBdG9MXzD+8SDpz+3492NtC2iouXd3Q9KLeA4j0nz3bBgR965DbG7q6v6Z76CjP86afs2p96at3OFtcXw39vAgsAAIDhw7gJQ62+vl2P/eU18rJ1yqpGM2a1ugbaTz02TUv+MU1zDm7S687eqsMW1mvHtmIVFGSUaA8r3hbQrp2F2r6lRIlEyF1sHLHk6W166/n36r5fXjKg0KCuLq4r3vc7LX122z6X7Whx4Wnt2jrNPaTSVRs1NCYIKQAAGIUWLVqk733ve65qwu9BkUgkdMstt+i4444b2pCiP970pjfpzjvvHMxVAsMqNwSwJti5wUTuj/2lhREFG9vddfdifjtD6aCJRa66YVV1s6uyqCqNDUqVQ/cw49qcbbTreCqjeGNGv162Ve2pjummCCkAAABGFsZNOBCxWFhZL6iVL5ylteuWa96C3Vr+3AQ9t6RK2WxHpcUzT07TwiPqVbc7qp01xfrXsskKhzPKZILKZgLyFHC9K6yXRSYbcEHF6af+WJ/5j9fo0ncfpeKSaK/v39KS1G9+tVI//MFSrV/bIO/VWW73qb09o2X/3KEjjqxSYcGg/hwBAACGyZe//GV98IMf1Omnn645c+a4xzZv3qyqqir98Ic/3K91DupRgd/NGxitckOA3GDCKiysssLbEwycfmiVqhvb3fXxsytd5UJ9W0qnHjJRyUzWvd7vaeH1o1Kiv9M9dQ9Lut/3m37bduVWcQAAAGDkYNyEA7FwYZVKS6Na90pE69ZP0UsvlCuRsGqFgGuUbf+0GhsK9MxTUxUKZ13DbJNJh10oYf0hvMye6gbv1VOutm1t0Sev/bOu/+pivfPSY/TWty3QtOklKi2Jqbk5oe3bW/T7B1bp9w+sUWtbUslERrFY0E1llkr179+zndBVU92qOXPK3boBAMDoY1M9/fGPf9QTTzyhjRs3ut5rFlZYaBHq1rsqLyHFww8/rAULFgzmKoFh1VtTawsRrCrCv21hgDXDvmfJZhdSPPm5N3RZ3kINO9yfP7XUhRr7apbd3+me+rvt9v4WUgAAAGDkYdyEA2GVDLW1cf3znzuUSgWVTseUTneEBFZJkRsIRCJZN91TMhFyIYZ1h8hmOoIMeRZe7B0utLQkdMsPn9NPf/K8KicUuveLt6UViQQVDgeVyWQVCAY0eUqx2tpSisdd2tGvbQ+FAq5Bxc6aVtejwqpCAADA6BONRvWGN3T9PfRA9PuI4He/+12fDeCWL1+uRx55RLfeeuugbRwwUlh44Fcp+FUSdmBvTbHtdu60UMbur93ZquJY/9LDnkKM7k2y+3rMqjwa4ynXP8Ofpoom2gAAAMOPcRMGm1UxtLWmVFBofSQyuvMnz2vb1iYVl0SUyYTV1JhQ2soiuuQEnjwvoFQypKKKdnc7mA4olQq5268uvNfktUqnwy7gsMBj9uxy7djRooDa3fsFg9bXok3hSEAzZpQqmcoqHq9VKpXs12eJREKaMLFQ7YmMNm5o0PwFVYO1mwAAwCjW75Di5ptv7vHxSCSi0tJSzZ8/X/fee6+OPPLIQdu4v/71r7r66qu7PHbOOef0ui3AUOlepWCH8jMrCjp7UnQPBCxEWLG1Ua2JjhAjd6qonkKDnsKHnoKGnh6zda/c07h7R2N753p2NSdcsGLrJqgAAAAYHoybMFh2bG/Wo49s0D+Xbld7e1oFBUllvWqtXRN2UzVZSJBKZd20S0XFETU3JTorKjrCB8/1oGhqLFBJWUKTZ7dp4/pyJZOhLoGGP0WUXQIB61MRVCjUUWVhFRv2vE0Rlcl4bjsi0aCCgYC7H42G5Bbtp5LS6J6KjJBaW1ODvs8AAMAYDykWL16s4bZ27Vq9/vWv1/XXX9/5WCwWG/btwPjQve+E/bDfW3iwobZNJ86t1M8+eHKXZXIVR0NKprNqjqe0vbG987W9TSfVU9CRe93bY1ZBYcLBgA6bUtK5rf46e3tPAAAADD7GTRgMW7c0ucbUG9c3qGpSSCVlm1Rbu1Mrlkt1dVFFI1IoXKRsukKhcFDFxR1VDnV18b0aWafTQTXUFSibDbrpoToCij3JQsAqLvZM/6SAq7Kw8MF6V1igMGVKsaqrW9xj2UzWTf/UHk+puTnpchDrrRIIBFzlRX/arFgVhiYVa95hpSosZKonAADQYUQfFaxbt06HHXaYJk2alO9NwTjQve9E7g/9fYUHPU3VZK/zg4mDCotUVhjp0kC7u57Ch57W29NjNsWTVVBMLStQVWlsUPtcAAAAYORj3DS22A//v7t/lTZtaNDCw8uU0b/U0LBNWS+kWGGBEu0hVzExwatTS2tKXrZI2aynosKwksVRtbYm9wQPudM6Sa3NUXlZCxQ6pnjq6EsR6Fiio1XEnmoKuQqNCRMKdPoZs9TQ0K5/LatWbW2bJkwo1K6d1uci7Koq4vG0yisKXG+KRKJbOtIDm66qvr5NbW2lbh0AAAAmPNIPtl/zmtfkezMwTvtOqIdrs68m2P7yNt2SHehbj4h9Ld+fdfbG70Fh72eBil37lR1W6QEAAICxjXHT2LJta7NeenGnZswsUyC0U61N1dq1M6ZoNKLKSk87CqV4W0jxeEzFJa1qbIgo0R5QYVHETaVkUz/ZFFDJZPbVnhOBgOsxEQr5FRMd4YVf/ZDbmcJCjGg0qER7Vq0tSVVWFurU18zU8n9Va9OmRhdglJcXaGd1qyoqC3TSyTPctFSJRHyfn80PQKp3NOtb3/iHbvjGG1RRUTAUuxEAAIwiIzaksIOmDRs26Mknn9SPfvQjZTIZnXvuubr22mtd9/D+stftL/+1B7IOjBx/erFa9/1zi955/Axt2tqu7/xrqd594iyde+RU9/ybDp/sLj773nMf6/7vwF/fpSe8ug5f93X94fltvS57oPz38rentjmpZzfUub+h3G0Yy/hbHZv4Xscmvtexh+90ZOF7GH8GY9w00H83/N0PrdrdrWppTmratBKl01vV0pJVIBBy0zmVV6Q1YUJWW1uDamoKacrUlAqLUmpvD6uxsU3BYEaRSFael1UgaHMwhRQKWbNsCyhsKqesUimbzkkKhzumd0omMy7AMNZ7ompSoU4/bbZWra7VypW1KimOuteWlER19DGTdfjhkzTvsAkusNi6pVlrXtktL+vtWf++53yKFYRdmPK3xRt15x3/0jUfP0kjGf/e84P9nj/s+/xgv+8/9tnYMGJDiu3btysej7sD6+9+97vaunWrvva1r6m9vV1f/OIX+72eFStWHPC2DMY6kH+3PV6nl2uTam5qVkN7Vpsa09q6q1FT09UHvL59rWMgy+4viz4+cWxET2/N6BEvrJOrMlq+fLme3tquR9a36eyDi3TqzLF9lhJ/q2MT3+vYxPc69vCdAqN33LS/f7/83Q+NzZtb1dzSqC1bEiqrrFe8LSNP1hQ7o0jU0/SZGTU1lrpgoWZH1E2zFAgklM1kFApZQBFQWXlalZVxVU7w1NY6Ucn2EnkKuOmWmpuSamzMqL096yorrLrBNccOSEVFYVVVhdXa1qjyCunkU4pdAJFIZjVhYrHmLyjTpEk2pkjo4EMLtHVLRuvWbdf0GTEFAlnV1yc7A4/epJIpxQqybqqqe+76l449LqDSsohGOv695wf7PX/Y9/nBfsd4NWJDihkzZmjJkiUqLy935aYLFy5UNpvVv//7v+u6665zZ4P0x1FHHdXvZXtK4uw/DgeyDowcV4ZfraT49p9WuoPwwsICHXvssQNaj1+xcMK86Sota3bVEcfuozrCf+/+LHug7ON8NOf+d5cv1aq6tErLQvroBQP7rKMFf6tjE9/r2MT3OvbwnY7M7wPjx2CMmwb698vf/dA64oiMlj+X0ZZNTSosnKBYrEFZL6tQ2HPfbSoZ0Smn7dK8+Rm9sqpAq1ZWavacVp1wklRWXqY/PZRRaVnGVU9MrEopk96tbZsnKZ2Oqj2RVn1dgwoKrBdFWtmMNc72FIlYVUaxJk0qcv0l1q1LaNr0Yl3yjlN18CGVvW7r9q1rFItWKxyWpkyNaMLEjNatre81qLBtSiY91VSnXH+LdEryspN17LEHaaTi33t+sN/zh32fH+z3/cfx79gwYkMKU1FR0eX+IYccokQiocbGRk2YMKFf67A/7AP94x6MdSD/zj9mhrvYf7w2bd6sJbUhveekgwb83f5i2Vb9c2ODGwT+/EOnDOi9B9vDK3Z09p/we1p0f2zB1DK9uK3JXY/1f8f8rY5NfK9jE9/r2MN3CozecdP+/v3ydz80bJ+ed9483X7bv7RjW1DRwrSy2ZAy6Yh21thUSQGd/JpGHXP8Dp12Zql2bIno/AvrVRA7XJs2enruWU8lpVHt3h1Xa2uhSstaVFxar4a6Kare0eqqKSZNLtLUWEhbtjSpvCymVDrrGmFbiGDhwebNTWptSWvixOI+v+Pt21vUFk+prS2tqqoitbamVFQUcUFHb0GFPd7Q2O7eb/qMUjU2JkfFvyP+vecH+z1/2Pf5wX7HeBXUCPXEE0/o5JNPdqXLvpdfftkdgPc3oAB6Y9Me3XnFif1qVm0/+l9+xxJ3bezH/xPnVnZppp0vFkY8s65On79/Ref22WPWQPvmxWvcdj+5tlbtqaxW1zTne3MBAAAwyBg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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scegot.plot_gmm_predictions(\n", " mode=\"umap\",\n", " plot_gmm_means=True,\n", " figure_titles_without_gmm=[f\"{name} on UMAP\" for name in DAY_NAMES],\n", " figure_titles_with_gmm=[f\"{name} with GMM\" for name in DAY_NAMES],\n", " cmap=\"plasma\",\n", " # save=True,\n", " # save_paths=[f\"./gmm_preds_{day_name}.png\" for day_name in DAY_NAMES]\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Animation of interpolated distribution:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Interpolating between day0 and day0.5...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 11/11 [00:02<00:00, 4.62it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Interpolating between day0.5 and day1...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10/10 [00:03<00:00, 2.56it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Interpolating between day1 and day1.5...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10/10 [00:06<00:00, 1.44it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Interpolating between day1.5 and day2...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10/10 [00:09<00:00, 1.09it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Creating animation...\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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Of course, you can create them manually, or there is a function called `generate_cluster_names_with_day(`) that automatically generates cluster names for you.\n", "\n", "Since cluster names are not maintained in the scEGOT class, an array of cluster names must be passed to the function that draws the cluster names each time.\n", "\n", "There will be other occasions where cluster names are passed in the `pathway` and `cell velocity` sections, but it is not necessary for the cluster names in those cases to match the cluster names used in this section. Therefore, the cluster name can be changed flexibly." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[['day0-0'],\n", " ['day0.5-0', 'day0.5-1'],\n", " ['day1-0', 'day1-1', 'day1-2', 'day1-3'],\n", " ['day1.5-0', 'day1.5-1', 'day1.5-2', 'day1.5-3', 'day1.5-4'],\n", " ['day2-0', 'day2-1', 'day2-2', 'day2-3', 'day2-4']]" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_names = scegot.generate_cluster_names_with_day()\n", "cluster_names" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### In the case of `plot_cell_state_graph()`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Gene information is displayed in the graph." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "PCA ver." ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { 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down_genes: MESP1, MESP2, SP5, MIXL1, EOMES", "up_genes: DMRTA2, ZHX2, PRDM1, NANOG, NANOGP8
down_genes: MESP1, MEIS3, MSX1, CDX1, ID3", "up_genes: EPAS1, HAND1, HOXB6, HEY1, MEIS2
down_genes: SOX17, SP5, TFAP2C, NKX1-2, NANOG", "up_genes: ATF3, HAND2, PRRX1, FOSL2, PITX2
down_genes: MESP1, ID1, SP5, ID3, POU5F1B", "up_genes: HOXB6, HAND1, HOXB5, HOXB2, HOXB3
down_genes: SOX17, ID1, TFAP2C, SP5, PRDM1", "up_genes: PITX1, PITX2, GATA6, HNF1B, MAF
down_genes: POU5F1, TFAP2C, POU5F1B, MESP1, SOX17", "up_genes: ID3, NANOG, NANOGP8, SOX15, ETV4
down_genes: ISL1, TBX3, HAND1, DMRTA2, CDX2", "up_genes: SOX7, HOXB6, TWIST1, DLX5, HAND2
down_genes: TFAP2C, ELF3, POU5F1, MXI1, CEBPA", "up_genes: FOS, HOPX, EGR1, TSHZ1, JUNB
down_genes: HOXB6, ID3, POU5F1, MSX2, MESP1", "up_genes: FOS, EGR1, SOX6, CREB3L1, HOPX
down_genes: POU5F1, HOXB6, HOXB2, HOXB5, CDX2", "up_genes: HNF4A, HNF1B, SP8, FOXQ1, ARID5B
down_genes: TEAD1, HAND1, HOXB6, HOXB5, DMRTA2", "up_genes: ATF3, SNAI2, HAND2, ZEB2, PRRX1
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down_genes: MIXL1, ID1, EOMES, ZIC2, TBXT", "up_genes: SOX17, TFAP2C, HAND1, CDX2, ISL1
down_genes: MIXL1, EOMES, ZIC2, ID3, TBXT", "up_genes: HAND1, MESP1, HOXB2, SNAI2, HOXB6
down_genes: MIXL1, EOMES, ZIC2, NANOG, NKX1-2", "up_genes: SOX17, PRDM1, HAND1, TFAP2C, CDX2
down_genes: MIXL1, EOMES, ID3, ZIC2, TBXT", "up_genes: HOXB6, HOXB8, FOSL2, HOXB5, ATF3
down_genes: MESP1, MESP2, SP5, MIXL1, EOMES", "up_genes: DMRTA2, ZHX2, PRDM1, NANOG, NANOGP8
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down_genes: SOX17, SP5, TFAP2C, NKX1-2, NANOG", "up_genes: ATF3, HAND2, PRRX1, FOSL2, PITX2
down_genes: MESP1, ID1, SP5, ID3, POU5F1B", "up_genes: HOXB6, HAND1, HOXB5, HOXB2, HOXB3
down_genes: SOX17, ID1, TFAP2C, SP5, PRDM1", "up_genes: PITX1, PITX2, GATA6, HNF1B, MAF
down_genes: POU5F1, TFAP2C, POU5F1B, MESP1, SOX17", "up_genes: ID3, NANOG, NANOGP8, SOX15, ETV4
down_genes: ISL1, TBX3, HAND1, DMRTA2, CDX2", "up_genes: SOX7, HOXB6, TWIST1, DLX5, HAND2
down_genes: TFAP2C, ELF3, POU5F1, MXI1, CEBPA", "up_genes: FOS, HOPX, EGR1, TSHZ1, JUNB
down_genes: HOXB6, ID3, POU5F1, MSX2, MESP1", "up_genes: FOS, EGR1, SOX6, CREB3L1, HOPX
down_genes: POU5F1, HOXB6, HOXB2, HOXB5, CDX2", "up_genes: HNF4A, HNF1B, SP8, FOXQ1, ARID5B
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smallest_genes: HIC1, HLX, HHEX, FOXC1, RUNX3", "largest_genes: HAND1, PITX2, ID2, SNAI2, TBX3
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smallest_genes: ZNF750, BARX2, MSGN1, HHEX, ALX4", "largest_genes: HAND1, ID2, PITX2, PITX1, MXD4
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smallest_genes: TFAP2B, BARX2, TP63, TFCP2L1, FOXQ1", "largest_genes: ID1, SOX17, POU5F1, ID3, ID2
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down_genes: HOXB6, ID3, POU5F1, MSX2, MESP1", "up_genes: FOS, EGR1, SOX6, CREB3L1, HOPX
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down_genes: TFAP2C, ELF3, POU5F1, MXI1, CEBPA", "up_genes: FOS, HOPX, EGR1, TSHZ1, JUNB
down_genes: HOXB6, ID3, POU5F1, MSX2, MESP1", "up_genes: FOS, EGR1, SOX6, CREB3L1, HOPX
down_genes: POU5F1, HOXB6, HOXB2, HOXB5, CDX2", "up_genes: HNF4A, HNF1B, SP8, FOXQ1, ARID5B
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down_genes: SOX17, ID1, TFAP2C, SP5, PRDM1", "up_genes: PITX1, PITX2, GATA6, HNF1B, MAF
down_genes: POU5F1, TFAP2C, POU5F1B, MESP1, SOX17", "up_genes: ID3, NANOG, NANOGP8, SOX15, ETV4
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down_genes: TFAP2C, ELF3, POU5F1, MXI1, CEBPA", "up_genes: FOS, HOPX, EGR1, TSHZ1, JUNB
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down_genes: MIXL1, EOMES, ZIC2, ID3, TBXT", "up_genes: HAND1, MESP1, HOXB2, SNAI2, HOXB6
down_genes: MIXL1, EOMES, ZIC2, NANOG, NKX1-2", "up_genes: SOX17, PRDM1, HAND1, TFAP2C, CDX2
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down_genes: MESP1, MESP2, SP5, MIXL1, EOMES", "up_genes: DMRTA2, ZHX2, PRDM1, NANOG, NANOGP8
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down_genes: SOX17, ID1, TFAP2C, SP5, PRDM1", "up_genes: PITX1, PITX2, GATA6, HNF1B, MAF
down_genes: POU5F1, TFAP2C, POU5F1B, MESP1, SOX17", "up_genes: ID3, NANOG, NANOGP8, SOX15, ETV4
down_genes: ISL1, TBX3, HAND1, DMRTA2, CDX2", "up_genes: SOX7, HOXB6, TWIST1, DLX5, HAND2
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"#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Cell state graph" }, "width": 1000 } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "G_umap = scegot.make_cell_state_graph(\n", " cluster_names,\n", " mode=\"umap\",\n", " threshold=0.2,\n", ")\n", "scegot.plot_cell_state_graph(\n", " G_umap,\n", " cluster_names,\n", " tf_gene_names=tf_gene_names,\n", " tf_gene_pick_num=5,\n", " # save=True,\n", " # save_path=\"./cell_state_graph_umap.png\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### In the case of `plot_simple_cell_state_graph()`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* The shape of the graph can be changed by changing the layout argument.\n", "* When `layout=\"hierarchy\"` and `order=\"weight\"`, the nodes are sorted in order of node weight.\n", " * If the order argument is not specified, the nodes are sorted in the order of their gmm labels." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "PCA ver." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scegot.plot_simple_cell_state_graph(\n", " G,\n", " layout=\"normal\",\n", " # save=True,\n", " # save_path=\"./simple_cell_state_graph_pca.png\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "UMAP ver." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scegot.plot_simple_cell_state_graph(\n", " G_umap,\n", " layout=\"normal\",\n", " # save=True,\n", " # save_path=\"./simple_cell_state_graph_umap.png\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "layout=\"hierarchy\"" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scegot.plot_simple_cell_state_graph(\n", " G,\n", " layout=\"hierarchy\",\n", " order=\"weight\",\n", " # save=True,\n", " # save_path=\"./simple_cell_state_graph_hierarchy.png\"\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Fold Change:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can see the fold change between the two clusters." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "marker": { "color": "blue", "opacity": 0.1, "symbol": "circle" }, "mode": "markers", "name": "|FC| < 0.8", "text": [ "HAND1", "MESP1", "SOX17", "HOXB6", "MIXL1", "SNAI2", "PITX1", "HOXB2", "HOXB5", "EPAS1", "HAND2", "TFAP2A", "ZNF503", "HOXB3", "SOX2", "GATA6", "PRRX1", "HOXB8", "TFAP2C", "MEIS2", "EOMES", "ISL1", "TBX3", "ZEB2", 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"standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Fold Change (threshold = 0.8)" }, "width": 1000, "xaxis": { "title": { "text": "day0.5-0" } }, "yaxis": { "title": { "text": "day0.5-1" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cluster1 = \"day0.5-0\"\n", "cluster2 = \"day0.5-1\"\n", "scegot.plot_fold_change(\n", " cluster_names,\n", " cluster1,\n", " cluster2,\n", " tf_gene_names=tf_gene_names,\n", " threshold=0.8,\n", " # save=True,\n", " # save_path=\"./fold_change.png\"\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Pathway Analysis:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Visualize the transition of expression levels of `selected_genes` in the clusters specified by `pathway_names`." 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"colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "pathway_gene_expressions" }, "width": 1200, "xaxis": { "title": { "text": "day" } }, "yaxis": { "title": { "text": "loag(gene_exp+1)" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pathway_names = [\n", " \"day0-0\",\n", " \"day0.5-1\",\n", " \"day1-0\",\n", " \"day1.5-1\",\n", " \"day2-1\",\n", "]\n", "selected_genes = [\"NANOG\", \"SOX17\", \"TFAP2C\", \"NKX1-2\"]\n", "scegot.plot_pathway_gene_expressions(\n", " cluster_names,\n", " pathway_names,\n", " selected_genes,\n", " # save=True,\n", " # save_path=\"./pathway_gene_expressions.png\"\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Plot gene expression:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also plot only the features of a single gene." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 2D" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "PCA ver." ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "%{hovertext}

PC1=%{x}
PC2=%{y}
color=%{marker.color}", "hovertext": [ "iM.data_GTGGAAGGTCAATGGG-1", "iM.data_TTCATGTCAACCCGCA-1", "iM.data_GAGGGTATCCAGGACC-1", "iM.data_AAGTCGTAGGCTTTCA-1", "iM.data_ACCGTTCGTAACTTCG-1", "iM.data_GTGTTAGCAAGTTTGC-1", "iM.data_TCACGGGGTGGCGCTT-1", "iM.data_GTTACGAAGGTCTACT-1", "iM.data_TGATCAGAGTCGTTAC-1", "iM.data_GTGCAGCGTCTTCAAG-1", "iM.data_AGTAGTCCACCCTGTT-1", "iM.data_CCATAAGGTAGCTGTT-1", "iM.data_TAAGCACCAGTCGTTA-1", "iM.data_GGTCACGAGGTCCCTG-1", "iM.data_CTGCGAGGTCGTGTTA-1", "iM.data_TCAGGTAGTCGCACAC-1", "iM.data_TCTGTCGTCGTTCAGA-1", "iM.data_AGTTCCCCATTATGCG-1", "iM.data_TCATTGTCATTACGGT-1", "iM.data_TGTAGACTCGGTAACT-1", "iM.data_CTGTATTAGGATCATA-1", "iM.data_TTGTTGTGTATCGATC-1", "iM.data_CTGCCTAGTACGATGG-1", "iM.data_CGCAGGTCATAAGCGG-1", "iM.data_TCGTGGGGTTTGCAGT-1", "iM.data_CTGAGCGTCCCTGGTT-1", "iM.data_CGTGTCTAGCATAGGC-1", "iM.data_GGGTTTATCCTGTACC-1", "iM.data_TTCTAGTGTAAGATCA-1", "iM.data_GTCGCGAAGCGTGCTC-1", "iM.data_TCCCAGTGTAGATGTA-1", "iM.data_TTCGGTCGTGTGGACA-1", "iM.data_TAGCACAGTTGTGTAC-1", "iM.data_CCTCATGAGCGCCGTT-1", "iM.data_CATCGGGAGGCTGAAC-1", "iM.data_ACCTGAATCGTAACAC-1", "iM.data_TCGTAGAAGAGGTATT-1", "iM.data_TCGTCCAGTAGTTCCA-1", "iM.data_GGCTGTGTCTAGCAAC-1", "iM.data_TGACGCGTCAGTGGGA-1", "iM.data_TTTCAGTTCGTCAGAT-1", "iM.data_TATTGGGTCGCTTGAA-1", "iM.data_GTATTGGAGAGTACCG-1", "iM.data_TCAATTCCAGCAGATG-1", "iM.data_GGGCTACTCCGTAGGC-1", "iM.data_CGTGTCTTCAAGCCGC-1", "iM.data_ACGGAAGCAGTGGCTC-1", "iM.data_TGAGGTTAGTGCCGAA-1", "iM.data_ACGTAGTTCTGTGCGG-1", "iM.data_TTCATGTAGTGCGACA-1", "iM.data_AGTGATCAGAATCGCG-1", "iM.data_TCGTGCTCAACGGTAG-1", "iM.data_GTGCAGCAGTAAACTG-1", "iM.data_TTGTTTGAGGGTCACA-1", "iM.data_CAAGAGGTCTCAGGCG-1", "iM.data_AGCGTCGCACCGCTGA-1", "iM.data_CGACAGCAGACGCTCC-1", "iM.data_CAACGGCTCAGGAAGC-1", "iM.data_CGTTAGATCATAGCAC-1", "iM.data_TCAGCCTCAAGGCTTT-1", "iM.data_TCATGGACACCTGCGA-1", "iM.data_GTTCATTAGGAAGTGA-1", "iM.data_GTGTTAGTCACCTCGT-1", "iM.data_ACACGCGTCATGAGAA-1", "iM.data_ATTCCATAGAGTCCGA-1", "iM.data_TACACCCCAGTATTCG-1", "iM.data_CGATGGCTCATGAAAG-1", "iM.data_GTCGTAATCCTGATAG-1", "iM.data_TCTACATAGATACTGA-1", "iM.data_GTGCAGCAGGAAAGTG-1", "iM.data_CGAGTTAAGTGCCCGT-1", "iM.data_GGTGTCGTCGGAGTGA-1", "iM.data_CGCGTGATCCGGTAAT-1", "iM.data_GGGACAAAGAGTCAAT-1", "iM.data_GTGGAGATCAATCCAG-1", "iM.data_AGCGTATTCCTACCGT-1", "iM.data_AGTAGTCGTGTTGAGG-1", "iM.data_AGGAGGTTCGGCTGTG-1", "iM.data_CGGGACTCAAAGGCTG-1", "iM.data_ATGGAGGTCCGTGACG-1", "iM.data_GGTCTGGGTAATGATG-1", "iM.data_TAACTTCAGGTCGTGA-1", "iM.data_CACACAAGTAAGGAGA-1", "iM.data_GTCGCGAGTCGTGTTA-1", "iM.data_GGATGTTAGTAAGAGG-1", "iM.data_CTACATTTCTGCCCTA-1", "iM.data_ATCATTCTCTAGGAAA-1", "iM.data_CCGATCTAGAAGTCAT-1", "iM.data_CGTGAATGTACCATAC-1", "iM.data_CTTCTAAGTTCTTGTT-1", "iM.data_AGGGTTTGTGACACGA-1", "iM.data_TGTTGAGCAGACACAG-1", "iM.data_CGCCAGAGTTGAAGTA-1", "iM.data_TCGGGTGTCCAGCTCT-1", "iM.data_CGTGTCTCAGGTGGAT-1", "iM.data_ACTTATCGTCGAGCTC-1", "iM.data_GTTCCGTCAATCGTCA-1", "iM.data_TCCCACAGTGGATCGA-1", "iM.data_ATGGGTTAGCTGAAGC-1", "iM.data_AGATGAAAGCTAATCC-1", "iM.data_AAAGAACTCCTATTGT-1", "iM.data_TTCCACGGTGCGTCGT-1", "iM.data_TCATTCAAGAGGCGTT-1", "iM.data_AGGACTTCAAGAGTGC-1", "iM.data_CAGATTGTCTTCGACC-1", "iM.data_TGTTGAGGTCAAAGTA-1", "iM.data_ACTGCAATCGGTCGAC-1", "iM.data_AAAGTCCAGACGTCGA-1", "iM.data_CTTCTAAAGATTGTGA-1", "iM.data_TAGGAGGAGGTGCTTT-1", "iM.data_CTACAGAGTCGGTGTC-1", "iM.data_TCCACGTAGGGTTAAT-1", "iM.data_AAGTACCAGTAACCGG-1", "iM.data_GCGTTTCAGTACTCGT-1", "iM.data_ACAAGCTGTGTGCCTG-1", "iM.data_TGCACGGAGCGTGTCC-1", "iM.data_CTGTCGTGTTGTTTGG-1", "iM.data_GTCAAGTAGAGAGAAC-1", "iM.data_CTACAGAGTGGTTTGT-1", "iM.data_GCGTTTCGTACTGTTG-1", "iM.data_ATTACTCCAGTGGTGA-1", "iM.data_GTATTGGAGTCACAGG-1", "iM.data_TTCATGTTCTGATGGT-1", "iM.data_CCGGACACAGCTTCGG-1", "iM.data_CAAGAGGCAAAGAGTT-1", "iM.data_CTGCGAGCATGGGATG-1", "iM.data_CAGCGTGAGTGTAGAT-1", "iM.data_CGGGTGTAGTTCCGGC-1", "iM.data_GTCGTAAGTACTCGTA-1", "iM.data_GTTCATTCACGCGTGT-1", "iM.data_TTGGGATCAAATGAGT-1", "iM.data_CCGTTCATCGCTAGCG-1", "iM.data_TGTAAGCGTCGTTGCG-1", "iM.data_TACGGGCTCTGAGAAA-1", "iM.data_CATCGGGTCACGTCCT-1", "iM.data_CAGCAATAGCTCCATA-1", "iM.data_TGAATCGGTAATGTGA-1", "iM.data_AAGACAAAGCGACTTT-1", "iM.data_TAAGCGTGTGGTCTAT-1", "iM.data_TTCATTGTCTATACGG-1", "iM.data_ATCATTCAGGAGATAG-1", "iM.data_TTACTGTTCCGATAGT-1", "iM.data_GTGGCGTGTTCTTGCC-1", "iM.data_CAGCGTGTCTCTCAAT-1", "iM.data_AGGGTTTAGTCAAGCG-1", "iM.data_TATTGCTGTCGCATGC-1", "iM.data_CTCTCAGAGTTGGACG-1", "iM.data_CTTGATTCAAATGGAT-1", "iM.data_GTTGTGATCCGAGATT-1", "iM.data_GCGATCGGTCGTGCCA-1", "iM.data_GGAGAACAGGTGATAT-1", "iM.data_GTAATGCGTGATACAA-1", "iM.data_CGGGCATTCATTTGTC-1", "iM.data_GCCGTGATCTACGGGC-1", "iM.data_GAATAGAGTGTCCATA-1", "iM.data_AATCACGTCTCGCAGG-1", "iM.data_CTTCAATTCAGGACAG-1", "iM.data_CTCCGATGTGGGCTCT-1", "iM.data_AGCGTCGAGATGTTAG-1", "iM.data_TTGCGTCGTACCACGC-1", "iM.data_ATCATTCGTGTGATGG-1", "iM.data_TGCGATAGTTGTGTTG-1", "iM.data_GAAGCCCCAAGGTACG-1", "iM.data_CGGAACCAGATGGTAT-1", "iM.data_TAACCAGCAAGGCGTA-1", "iM.data_AATCACGGTAATTAGG-1", "iM.data_AATAGAGTCCTTCAGC-1", "iM.data_ACCTGTCGTGCCTATA-1", "iM.data_TATTGGGGTGGGATTG-1", "iM.data_TTGCGTCTCTGCTTAT-1", "iM.data_GTCGTAATCGAGGCAA-1", "iM.data_TGTAACGAGTGGTTGG-1", "iM.data_TGTGCGGTCAGAGCAG-1", "iM.data_CTGGACGTCAGCTTGA-1", "iM.data_TCCGTGTCACGAAAGC-1", "iM.data_AAGATAGAGTCTGCAT-1", "iM.data_TGGAGGAGTTTGTGGT-1", "iM.data_GGAGATGGTCTTCATT-1", "iM.data_TTCGGTCCAGAATCGG-1", "iM.data_CGGAATTCAGCGTTTA-1", "iM.data_GTCGTTCGTGGTCAAG-1", "iM.data_TAGATCGTCTCACGAA-1", "iM.data_GTGTTCCAGCTACAAA-1", "iM.data_TTGGGCGTCTGTTGGA-1", "iM.data_GTGTGATAGCGACATG-1", "iM.data_GTGCTGGAGCTGAGTG-1", "iM.data_GTCGAATAGATCGCTT-1", "iM.data_TGAGGAGAGCCTGCCA-1", "iM.data_GGGTTATTCTATACGG-1", "iM.data_AGAACCTTCGGAGATG-1", "iM.data_GTTACAGAGTTGGACG-1", "iM.data_GAATCGTGTCCCAAAT-1", "iM.data_ATCACTTAGAGAATCT-1", "iM.data_CTCCCTCCAACGGGTA-1", "iM.data_TGCTTGCGTCATGGCC-1", "iM.data_CGCATGGCAACCGCTG-1", "iM.data_TAACTTCGTAGCGATG-1", "iM.data_CTCATCGGTTGTGGCC-1", "iM.data_TCGTGCTTCCTGTAGA-1", "iM.data_TCAAGACGTTATGTGC-1", "iM.data_AAGATAGAGGTGCTTT-1", "iM.data_GCGTGCAGTGGTTTGT-1", "iM.data_TCACTATAGAATCGCG-1", "iM.data_TGTTTGTAGAGTTCGG-1", "iM.data_TGCACGGTCTAAACGC-1", "iM.data_ATGGGAGAGTCCTGCG-1", "iM.data_GCATGATAGGCTAACG-1", "iM.data_CTGAGGCGTAATGCGG-1", "iM.data_CTCTCAGAGTAGGTTA-1", "iM.data_AGAAGCGGTATCGGTT-1", "iM.data_CCTATCGCATGAGGGT-1", "iM.data_CTGCATCGTTGGAGAC-1", "iM.data_CACCGTTGTAAGGTCG-1", "iM.data_TCAGGTAAGTAAATGC-1", "iM.data_ATCTCTAAGTGTGTTC-1", "iM.data_CGAGTTACACATCCCT-1", "iM.data_GTTGTAGGTTATGTGC-1", "iM.data_TCAAGACTCTACTGAG-1", "iM.data_TTTAGTCTCTGTGCAA-1", "iM.data_CGTAGTAAGCCACCGT-1", "iM.data_TCAAGCATCCATAGAC-1", "iM.data_GGAGAACCATACCAGT-1", "iM.data_GTTCTATCAATTGAAG-1", "iM.data_GCGATCGGTGAACCGA-1", "iM.data_CATCCGTAGAGCCGAT-1", "iM.data_CGTTCTGTCGTGTGGC-1", "iM.data_CGATGGCCACCGAATT-1", "iM.data_CACACAAAGTATGAAC-1", "iM.data_GGGAAGTGTTGTGGAG-1", "iM.data_GTGTAACCATTGAAGA-1", "iM.data_CCTTCAGAGTCGAGGT-1", "iM.data_ATTTCACCATTCCTAT-1", "iM.data_CACTTCGAGAACGTGC-1", "iM.data_ACGTAGTGTTCCACGG-1", "iM.data_TTTCAGTGTCTTCAAG-1", "iM.data_GAATAGACAGCTCTGG-1", "iM.data_AAAGTGATCCGTGTAA-1", "iM.data_ATCGGATTCCTTTAGT-1", "iM.data_ACTATTCGTTAATCGC-1", "iM.data_AAGACAAAGTCATCGT-1", "iM.data_GATGGAGCAGTAGAGC-1", "iM.data_CCTCCAAGTGTATACC-1", "iM.data_AGGGCTCAGACAACAT-1", "iM.data_ACTATCTAGGTTAAAC-1", "iM.data_TCATGGAAGCCGTCGT-1", "iM.data_TCTGGCTAGGAGGGTG-1", "iM.data_CGGGTGTGTCACAGTT-1", "iM.data_ATCGTCCCAGTCCGTG-1", "iM.data_GCCATGGAGGATACAT-1", "iM.data_CCTGCATCATTCTGTT-1", "iM.data_AGATCGTAGGGTACGT-1", "iM.data_TGTTCCGAGTACGAGC-1", "iM.data_CCACGAGGTATACGGG-1", "iM.data_ATATCCTGTCGTGGTC-1", "iM.data_GAGTTGTAGGCACCAA-1", "iM.data_CGATGCGGTCTGGTTA-1", "iM.data_TCGTAGATCCATCCGT-1", "iM.data_ACCTGAACACGTGAGA-1", "iM.data_TATCTTGAGCCTTCTC-1", "iM.data_AGGAAATTCCCAGCGA-1", "iM.data_TCGGTCTTCATTACTC-1", "iM.data_AACACACGTGATAGAT-1", "iM.data_TGTCCCAGTGGTCAAG-1", "iM.data_ATTACCTTCCATACAG-1", "iM.data_AGGTTGTGTGAACGGT-1", "iM.data_TCACACCAGAAGGCTC-1", "iM.data_CGTCAAACATATTCGG-1", "iM.data_ACAAAGAAGCCGAACA-1", "iM.data_CAATCGAAGGCATCGA-1", "iM.data_GCATCGGGTGGATGAC-1", "iM.data_GCATTAGAGATACATG-1", "iM.data_GGGTCTGGTCTGCATA-1", "iM.data_CACAGGCGTCGAATGG-1", "iM.data_TATCGCCAGCGTCGAA-1", "iM.data_GTCTACCCAACGACAG-1", "iM.data_TCAAGCAAGTGGTTCT-1", "iM.data_GCGATCGAGGTGATCG-1", "iM.data_TCGATTTAGAAGGTAG-1", "iM.data_GGGTGTCGTGGAACCA-1", "iM.data_GGGAGTATCCTTTAGT-1", "iM.data_GTTCGCTGTAACGTTC-1", "iM.data_ACGGGTCGTGCATACT-1", "iM.data_GGTGATTAGAAGTCTA-1", "iM.data_CAAAGAAGTCATAAAG-1", "iM.data_TACCTCGGTGTCCAAT-1", "iM.data_GTGGAGAGTCGTGATT-1", "iM.data_TAGGTTGAGCTGTACT-1", "iM.data_TGACAGTCATACAGCT-1", "iM.data_TCCGGGATCAAATAGG-1", "iM.data_ACTCCCAGTACGTGAG-1", "iM.data_TCGCTTGCACAGCCTG-1", "iM.data_TTTCACAAGATAGTGT-1", "iM.data_GAGTTGTGTTCCGCTT-1", "iM.data_CATTGAGGTAACGGTG-1", "iM.data_AGAGCAGGTCTGGTTA-1", "iM.data_TCTCAGCAGGCCTTGC-1", "iM.data_GAATCGTTCATTACTC-1", "iM.data_GTCGCGACACAGCCTG-1", "iM.data_TTTCACAAGCCGCTTG-1", "iM.data_TCACACCAGGTCGTAG-1", "iM.data_ACCGTTCTCGTGTTCC-1", "iM.data_GATTCTTCACCTGTCT-1", "iM.data_CAACGGCCAGCGTTGC-1", "iM.data_GTGGAAGGTAGCCAGA-1", "iM.data_TTCCAATTCGGCACTG-1", "iM.data_AGGGCTCTCTGAGGCC-1", "iM.data_AGAGAGCGTGGATACG-1", "iM.data_ATCGTAGGTCCATAGT-1", "iM.data_GCCAACGTCGGTGCAC-1", "iM.data_AGAAGCGTCCGCACGA-1", "iM.data_CATTCATGTTAGGGAC-1", "iM.data_CATAAGCCAGGTGTTT-1", "iM.data_ATCGTGACACTCAGAT-1", "iM.data_TCTGTCGGTAATACCC-1", "iM.data_CTACCTGTCAGTGTGT-1", "iM.data_AGGAGGTCAGAGGTAC-1", "iM.data_CCTCCAAAGTCGGCCT-1", "iM.data_TTGTTCAGTCGAGTTT-1", "iM.data_AGGTTGTGTGTTACTG-1", "iM.data_AGATCGTGTGTCACAT-1", "iM.data_TCCGTGTGTGACTAAA-1", "iM.data_AGGAAATTCCCTGGTT-1", "iM.data_TCGAAGTAGAGAACCC-1", "iM.data_TCGTGGGCAGGTGGAT-1", "iM.data_GGAGGTAAGTGTTGTC-1", "iM.data_TCGCAGGTCGCTCCTA-1", "iM.data_AAGTGAAAGATGACCG-1", "iM.data_CGTAAGTGTAACTGCT-1", "iM.data_CGTGAATTCCACTGGG-1", "iM.data_AGGGTGAGTGTCCACG-1", "iM.data_TCAGGGCAGGCCATAG-1", "iM.data_TTTCCTCTCTCATTTG-1", "iM.data_GACTTCCCAGTCCGTG-1", "iM.data_TCTGCCATCACAAGAA-1", "iM.data_TTACCATGTCAGTCCG-1", "iM.data_ATGGAGGTCAATGTCG-1", "iM.data_TGTAACGAGGATATGT-1", "iM.data_TCTTTGACAAGAGTGC-1", "iM.data_GCAACATGTGCCGTTG-1", "iM.data_TGTTCATTCAGTGCGC-1", "iM.data_GCTACCTGTTAAGGAT-1", "iM.data_TTTAGTCGTGATAGTA-1", "iM.data_TGATGCAGTTCATCGA-1", "iM.data_ATACCGAGTATCGTAC-1", "iM.data_TCATATCGTTTGTGGT-1", "iM.data_GTGGAGAGTAGTTACC-1", "iM.data_GATAGAAAGGCTTCCG-1", "iM.data_AGACAAAAGGTAGTCG-1", "iM.data_CGGGCATAGTCTTCCC-1", "iM.data_AAGTCGTGTTTCAGAC-1", "iM.data_TTACCATAGACATGCG-1", "iM.data_AGAAGTAGTGCTCGTG-1", "iM.data_ACTTCGCCAAGAGATT-1", "iM.data_GTCACTCAGAGGTTTA-1", "iM.data_GCCAGGTAGTGCTCAT-1", "iM.data_GTTAGTGAGGGTACAC-1", "iM.data_GCGTGCAGTGAATGAT-1", "iM.data_CGTGAATTCTGACAGT-1", "iM.data_ATCCGTCGTAGTTCCA-1", "iM.data_GTTCCGTTCTAGATCG-1", "iM.data_CTCAGGGCAGTCGAGA-1", "iM.data_ATTACCTCATGACGGA-1", "iM.data_CTGGTCTTCATGGAGG-1", "iM.data_GGCACGTTCTTCGGTC-1", "iM.data_CTGTATTCACTTTAGG-1", "iM.data_GAGATGGGTGGAATGC-1", "iM.data_CATTTCAGTTCCTAAG-1", "iM.data_CTGTGGGAGAATGTTG-1", "iM.data_TCTCACGGTAGACGTG-1", "iM.data_GTGGTTATCAGTGTCA-1", "iM.data_TGAGGGAAGGCTAACG-1", "iM.data_TATCTGTTCCTCAGGG-1", "iM.data_TTATTGCAGAAGTCTA-1", "iM.data_TTGTTGTGTGTGTCGC-1", "iM.data_TGAGGGAGTTGAAGTA-1", "iM.data_TCGTGGGGTTTACTGG-1", "iM.data_CAGGGCTAGCTAAATG-1", "iM.data_ACGTAGTAGGTAAACT-1", "iM.data_TCTCACGGTGAATAAC-1", "iM.data_GGTAACTAGATGAAGG-1", "iM.data_TATACCTGTGGATTTC-1", "iM.data_AACAAAGCAAGACAAT-1", "iM.data_CATCGTCAGTCATCCA-1", "iM.data_TGTTGGAGTTGCCTAA-1", "iM.data_GACCAATAGTTGGCTT-1", "iM.data_GAGCCTGGTAGTCGTT-1", "iM.data_CCACCATCAAGAGAGA-1", "iM.data_GAGACCCTCTATCGGA-1", "iM.data_GGGTTTAGTAGCGTTT-1", "iM.data_CAGCAATGTGCAACGA-1", "iM.data_GACTCTCCAGTATACC-1", "iM.data_CCGTTCAAGTGCCCGT-1", "iM.data_GGCGTCATCCATATGG-1", "iM.data_TCATGCCTCGCAAGAG-1", "iM.data_GGGCTACAGCCGATAG-1", "iM.data_ATCACGACAACCGTGC-1", "iM.data_AGCCACGCATCAGCGC-1", "iM.data_GTCTTTATCGCTACGG-1", "iM.data_TACAACGAGTAACAGT-1", "iM.data_CATGCTCAGTTTGGCT-1", "iM.data_CCCTAACTCGACGACC-1", "iM.data_ATCCTATAGGTCGTGA-1", "iM.data_AAACGAATCGCGGTAC-1", "iM.data_TTCCGGTCATGCAGCC-1", "iM.data_TTGGTTTAGTAGAGTT-1", "iM.data_GGGAAGTTCGGAGTGA-1", "iM.data_AGATAGAAGTAGGCCA-1", "iM.data_GTTGTAGGTTGCTCAA-1", "iM.data_TAACTTCGTGCTGATT-1", "iM.data_TGACGCGTCACTACGA-1", "iM.data_GAAGGGTCACAATGAA-1", "iM.data_CTGTAGATCATTCATC-1", "iM.data_TGTGAGTAGCCGATCC-1", "iM.data_TGAGTCAGTCGGAAAC-1", "iM.data_CATACTTGTAGAAACT-1", "iM.data_CAACGGCGTTACGATC-1", "iM.data_CATCGTCGTAGTCTTG-1", "iM.data_GATAGCTCAACAGATA-1", "iM.data_TATATCCGTTTGCAGT-1", "iM.data_GGGATCCGTTGTTTGG-1", "iM.data_TATTTCGAGGTAGATT-1", "iM.data_GTGGTTAGTGGTATGG-1", "iM.data_TTGCTGCTCAATGTCG-1", "iM.data_ACGCACGCAAAGGGCT-1", "iM.data_GGGTCACAGCAGTCTT-1", "iM.data_TGCATGAAGAAACACT-1", "iM.data_CCTGCATCAACCGCTG-1", "iM.data_CTACGGGGTAAGCTCT-1", "iM.data_CCTACGTGTGTCTCCT-1", "iM.data_AGTGACTGTGACTCTA-1", "iM.data_CAGATTGTCGAGTGAG-1", "iM.data_TGAGGTTGTTAGAAGT-1", "iM.data_TGTGGCGAGAATAGTC-1", "iM.data_GTTTGGAGTAGTGATA-1", "iM.data_CAAAGAAAGCCGTTAT-1", "iM.data_GGCTTTCGTGTCATCA-1", "iM.data_CCGTGAGAGAGCATAT-1", "iM.data_GCATCTCCATAGCACT-1", "iM.data_ACTTTGTAGGTGGTTG-1", "iM.data_TCATGAGAGGCGTTAG-1", "iM.data_TTGCGTCGTCTCACAA-1", "iM.data_CGAAGGATCAGCTGAT-1", "iM.data_TACTTGTGTAACACCT-1", "iM.data_GGATGTTAGATGCTTC-1", "iM.data_GAGGGTAGTTGGTGTT-1", "iM.data_CAAGGGATCCCAAGCG-1", "iM.data_CTGAGGCGTCTGTTAG-1", "iM.data_AACTTCTCAGCTCGGT-1", "iM.data_GGCAGTCGTGGCAACA-1", "iM.data_TAGAGTCCAGCACACC-1", "iM.data_GACGTTATCGCTAGCG-1", "iM.data_CGTCAAAAGAGTTGAT-1", "iM.data_GTCGTAACATTGCTGA-1", "iM.data_GGAGGATAGATGCTAA-1", "iM.data_CTCCGATGTCGCAGTC-1", "iM.data_TTGATGGAGGCTCTAT-1", "iM.data_GATTCGAAGACACACG-1", "iM.data_TTAGGCAGTCGATTAC-1", "iM.data_TGGGCTGAGCAAGTCG-1", "iM.data_CGTAATGGTTAACAGA-1", "iM.data_ACGTCCTGTCTTGAAC-1", "iM.data_TCGGGCATCATCGTAG-1", "iM.data_CAAAGAAGTCATCCCT-1", "iM.data_ACACAGTCAGTGTGCC-1", "iM.data_TCGGTCTGTTAAGTCC-1", "iM.data_TATCAGGTCTACCCAC-1", "iM.data_TTGGGTAAGTGCTCGC-1", "iM.data_CGCAGGTCAGACACAG-1", "iM.data_ACGATCAAGTTGCGCC-1", "iM.data_GTCATTTGTACAAACA-1", "iM.data_GTTCTATCAGCTCGGT-1", "iM.data_CGTTCTGAGAGGATGA-1", "iM.data_TACTTCATCATCACAG-1", "iM.data_GAGTTACGTAAGGAGA-1", "iM.data_GTTGCGGAGGGATGTC-1", "iM.data_GTCTTTAAGGACGGAG-1", "iM.data_CTCTCAGAGCACTCGC-1", "iM.data_GTAGCTAGTCTTCGAA-1", "iM.data_AGTTAGCAGGAAAGAC-1", "iM.data_TGGTGATAGCGTATAA-1", "iM.data_GGTAGAGTCGGTCGGT-1", "iM.data_TGTTGGACATACTGTG-1", "iM.data_CTACCTGGTTTCGTAG-1", "iM.data_GGTTCTCGTGTTAACC-1", "iM.data_ATCCACCGTCTCGGGT-1", "iM.data_CACTGAATCTATTTCG-1", "iM.data_ATCGGATGTATGTCTG-1", "iM.data_TCTATACGTTGTCAGT-1", "iM.data_CACTGGGAGGCAATGC-1", "iM.data_GTCGTAAAGGTCATCT-1", "iM.data_CACCGTTTCGTGGTAT-1", "iM.data_ACCATTTGTAACTAAG-1", "iM.data_CATCCGTTCAGCGCGT-1", "iM.data_TTTCCTCAGGTCGCCT-1", "iM.data_ACCGTTCAGCGAGTCA-1", "iM.data_TAGACCAGTACTGCGC-1", "iM.data_AGTCAACTCAAGAGTA-1", "iM.data_TTAGGCAGTTCGTAAC-1", "iM.data_ATCGATGAGAAGTGTT-1", "iM.data_GATTGGTAGAACTGAT-1", "iM.data_CAGCAGCCAGTGTGGA-1", "iM.data_ATCGTCCTCATCTGTT-1", "iM.data_TGAGCATGTCATCGCG-1", "iM.data_CCGGTAGAGCCTCTTC-1", "iM.data_TATACCTAGCGGTAAC-1", "iM.data_TTGGATGGTTCAGGTT-1", "iM.data_CTAAGTGCAGGGAGAG-1", "iM.data_TTCGGTCTCACTGGGC-1", "iM.data_CAAAGAAGTGTTAACC-1", "iM.data_TTGAGTGGTAGTCGTT-1", "iM.data_CATCGGGAGATTAGTG-1", "iM.data_TGCTCGTAGATGTTGA-1", "iM.data_GTGTTCCCAGTTGTCA-1", "iM.data_TTCCTAAAGTGGAAGA-1", "iM.data_TGAGGTTGTCTGTGAT-1", "iM.data_GTCATCCCAGAGACTG-1", "iM.data_CCTTGTGGTTCGTACA-1", "iM.data_ATTGTTCCAAGCTGTT-1", "iM.data_AAGTTCGTCGGCTTGG-1", "iM.data_TGTTCATAGATTGTGA-1", "iM.data_GAGGCAAAGTGCAACG-1", "iM.data_CGGAGAACACGTTCGG-1", "iM.data_GCGATCGAGATAGTGT-1", "iM.data_GTGGGAAGTGGTTCTA-1", "iM.data_TGGATCATCAGTGCGC-1", "iM.data_GGAATGGTCTGTTGGA-1", "iM.data_ACCATTTGTGTAACGG-1", "iM.data_TATTGGGTCGCCTATC-1", "iM.data_GTTTGGAGTTGGGACA-1", "iM.data_CTGATCCAGTATAACG-1", "iM.data_TCTCTGGGTACAACGG-1", "iM.data_TTTATGCTCAAGAAAC-1", "iM.data_GTCATGACATGCGTGC-1", "iM.data_AGGAGGTCAGATCCAT-1", "iM.data_GTTGTCCAGTCGAATA-1", "iM.data_CTGTGAAGTTGGACCC-1", "iM.data_ACTTTCAAGACGCTCC-1", "iM.data_TCACATTCAAAGCGTG-1", "iM.data_CGGAACCCACCCAATA-1", "iM.data_GTTGCTCTCGACGCGT-1", "iM.data_TCGATTTGTCCGGATC-1", "iM.data_ACTGTGATCGTAGCTA-1", "iM.data_CCAATGAGTGATCGTT-1", "iM.data_AACCAACAGTCTACCA-1", "iM.data_ACGTAGTTCGTCGACG-1", "iM.data_GGGATCCTCCGTGTGG-1", "iM.data_CTGCGAGGTCAGTCCG-1", "iM.data_TGCACGGCACAGTCCG-1", "iM.data_AACGAAATCGTTCGCT-1", "iM.data_TAGACCACATTATGCG-1", "iM.data_GTAACACGTCAAAGAT-1", "iM.data_CATCGTCCAGTTCTAG-1", "iM.data_GCCAGGTGTGCTTCAA-1", "iM.data_TATCCTAGTGGTCAAG-1", "iM.data_TAAGTCGGTCACTTAG-1", "iM.data_AGGTAGGGTTGCCAAT-1", "iM.data_GTCGAATCAATCAGCT-1", "iM.data_TGCTCGTTCAGAGCGA-1", "iM.data_CCGGACAAGGGTAGCT-1", "iM.data_ACAGCCGTCTATTGTC-1", "iM.data_TGCGACGCAGTGTATC-1", "iM.data_TTGCTGCGTCCCTAAA-1", "iM.data_CTCATTATCGACCACG-1", "iM.data_ACAGCCGCAGCGTATT-1", "iM.data_CAGATCAAGCTAGAGC-1", "iM.data_AGTTCGATCTCTTCAA-1", "iM.data_GACTATGCAGCTTCGG-1", "iM.data_GGTCTGGCACAGTCGC-1", "iM.data_ACTATTCAGCTATCTG-1", "iM.data_TCCGAAAGTCTACAGT-1", "iM.data_TCGACGGCATAACGGG-1", "iM.data_TGCTTCGTCCGCAACG-1", "iM.data_TATCCTAAGATAGGGA-1", "iM.data_GAAGCCCCAGACCAAG-1", "iM.data_GCCGTGAGTAATCAGA-1", "iM.data_CAAGGGATCTTCCGTG-1", "iM.data_ACCCTCATCGTAGGGA-1", "iM.data_GAGACTTTCTAGTACG-1", "iM.data_CATGCAAAGGTTACAA-1", "iM.data_GCACTAATCAGCTGTA-1", "iM.data_CAACCAAGTGATACAA-1", "iM.data_TCGGGACCATGCCATA-1", "iM.data_ATGGTTGAGCACACAG-1", "iM.data_TGAACGTAGCCAGTAG-1", "iM.data_TTGTTGTCAATGTTGC-1", "iM.data_AGTAGTCGTGCCAAGA-1", "iM.data_TTCTCTCGTGTATTGC-1", "iM.data_TCGCTCAGTTGTGTTG-1", "iM.data_CGGGTGTAGTGGTGGT-1", "iM.data_TCGTAGACACAAACGG-1", "iM.data_TGGGCTGGTTCATCTT-1", "iM.data_AGTAGTCGTCTTGCGG-1", "iM.data_TGATGCACAGCTCCTT-1", "iM.data_TACGCTCTCTGTGCGG-1", "iM.data_GGATGTTCATATTCGG-1", "iM.data_GAGTCTAGTAGATGTA-1", "iM.data_CTAAGTGGTGTCACAT-1", "iM.data_GATTCGAAGCGTGAGT-1", "iM.data_TCAGTTTAGTCGGCCT-1", "iM.data_GGCTGTGTCACCACAA-1", "iM.data_TGTAGACTCTTGCAGA-1", "iM.data_CCGTTCAGTGAAGCGT-1", "iM.data_CTCCCAACAACAAAGT-1", "iM.data_TCATTTGGTGAAAGTT-1", "iM.data_TAACTTCAGGATTTGA-1", "iM.data_TTGAGTGGTGTGTGTT-1", "iM.data_TTGCCTGAGATTGACA-1", "iM.data_TCTGGCTCATATGCGT-1", "iM.data_TACCGAAAGAGTCTTC-1", "iM.data_TTTACGTCAGAACTCT-1", "iM.data_TTGCATTTCCAGTGCG-1", "iM.data_CGGGTGTTCCGCGATG-1", "iM.data_GAAGTAATCGCCTAGG-1", "iM.data_ATGACCAAGATTGGGC-1", "iM.data_CCTCACATCGATACTG-1", "iM.data_GCCGTGATCTGGGCAC-1", "iM.data_AGAGCCCGTTGGTACT-1", "iM.data_GAGTGAGTCGGTGCAC-1", "iM.data_GTAGAGGTCCATATGG-1", "iM.data_ACTACGAAGTCGCCCA-1", "iM.data_GTGTCCTTCTAGTCAG-1", "iM.data_CCATAAGAGAGTTGTA-1", "iM.data_TATCTGTCAGTTTCGA-1", "iM.data_GGAAGTGTCATAGCAC-1", "iM.data_AGGCTGCGTCCTCCTA-1", "iM.data_TGAGACTTCTGTCCGT-1", "iM.data_GAGAAATCATCCGAGC-1", "iM.data_GTCCCATCATTACTCT-1", "iM.data_AGCGATTTCGATAACC-1", "iM.data_GTTCGCTAGAGATTCA-1", "iM.data_TAGATCGGTTGACTAC-1", "iM.data_TAATTCCGTAAGGTCG-1", "iM.data_ATGTCTTGTGATACCT-1", "iM.data_CTGTAGACAGATAAAC-1", "iM.data_GATGATCAGATGACCG-1", "iM.data_TGAGCATCATCGTGGC-1", "iM.data_ATCTCTAAGAGGGTGG-1", "iM.data_AGAACCTAGATGCCGA-1", "iM.data_GTAATGCGTTTAGTCG-1", "iM.data_CGTGTCTAGACTTCAC-1", "iM.data_CCCTCTCAGTAACGTA-1", "iM.data_GTAACCATCCCAGGCA-1", "iM.data_AGGACTTGTGCTTATG-1", "iM.data_AGGTGTTTCAGCTGTA-1", "iM.data_GATTGGTGTCCGAAGA-1", "iM.data_ATTCATCTCGCAATGT-1", "iM.data_CGAATTGGTTACCTGA-1", "iM.data_CCACAAACACTCGATA-1", "iM.data_CTAAGTGAGTTTCGGT-1", "iM.data_CTTCCGACAGAGGTTG-1", "iM.data_ATGGGAGGTATGAAAC-1", "iM.data_ACAGAAACAGAACTAA-1", "iM.data_CAGAGCCGTGATAGTA-1", "iM.data_TTGAGTGTCTGGCCTT-1", "iM.data_ATGGTTGAGATGAAGG-1", "iM.data_ACACGCGGTGTTAAAG-1", "iM.data_TGCGACGTCGTTCTCG-1", "iM.data_GAAGCCCAGTCCCGGT-1", "iM.data_ATTACCTTCTCTGGTC-1", "iM.data_CTAGGTACATCCAACA-1", "iM.data_CAACAACCACGACGTC-1", "iM.data_ATGGAGGGTCGTCATA-1", "iM.data_CGTGCTTTCCTCATAT-1", "iM.data_CTGGACGTCTGAGAGG-1", "iM.data_TCAGTCCCAAGGCCTC-1", "iM.data_AGTACTGCAAGAGTTA-1", "iM.data_AGATGAAAGGTAGATT-1", "iM.data_AGATGCTTCTATGTGG-1", "iM.data_TCCGGGAGTAGTTACC-1", "iM.data_AAACGCTAGGCTAGCA-1", "iM.data_AACGAAAGTCATCGCG-1", "iM.data_TTGGGTAGTCTACACA-1", "iM.data_GTCTGTCCACGACAGA-1", "iM.data_TCGGGACAGGACAGCT-1", "iM.data_TGCGGCAAGAGCAGCT-1", "iM.data_AAAGAACGTAGACACG-1", "iM.data_CCTAAGAGTGATCGTT-1", "iM.data_CCCGGAAGTTTCACAG-1", "iM.data_GAATCGTAGTGACACG-1", "iM.data_GAGTTTGGTCGTGCCA-1", "iM.data_GCGTTTCTCCCACAGG-1", "iM.data_GTGCTTCCACAATGCT-1", "iM.data_GGTTAACGTTCCCACT-1", "iM.data_TTTCATGGTATCGTTG-1", "iM.data_CTCTCGAAGTTGGCTT-1", "iM.data_CCACGTTAGGGTTAGC-1", "iM.data_ATCACAGAGGGTAATT-1", "iM.data_ATCGTGAGTTGAGAGC-1", "iM.data_CTCCATGAGTGAGTTA-1", "iM.data_CGATCGGGTCCAGGTC-1", "iM.data_TAAGTCGAGGATGAGA-1", "iM.data_AAGCGTTTCCAGTGTA-1", "iM.data_GGATCTAAGCAGGCAT-1", "iM.data_CAGTGCGTCTACTGCC-1", "iM.data_ACCATTTGTAGGGAGG-1", "iM.data_CATCGGGGTCCCGTGA-1", "iM.data_GTTACGACAGCAGTTT-1", "iM.data_GTTACGAGTCGGTGAA-1", "iM.data_AGGGCCTTCACAAGGG-1", "iM.data_AGCGATTGTCCAGCGT-1", "iM.data_AAAGTCCCAAGTGGTG-1", "iM.data_CAAGCTATCCACGTCT-1", "iM.data_TGATCTTGTTCGTAAC-1", "iM.data_GCGAGAATCTCCGATC-1", "iM.data_TAACTTCCATAGATGA-1", "iM.data_ACATCGAGTAGACTGG-1", "iM.data_AGAAATGAGTCAACAA-1", "iM.data_CCACCATGTGGTCTTA-1", "iM.data_TGCGACGGTATTAAGG-1", "iM.data_TATTTCGGTAATCAAG-1", "iM.data_CATCGCTGTCCGACGT-1", "iM.data_AAGAACACATGCACTA-1", "iM.data_ATCATTCTCATGGCCG-1", "iM.data_TTGCGTCCACGTCATA-1", "iM.data_CCTCATGTCAGCAATC-1", "iM.data_TCGCAGGAGCACCGTC-1", "iM.data_CGTGATAGTGGGAGAG-1", "iM.data_TGTTGAGTCTATCGTT-1", "iM.data_GTTCTATGTGCCAAGA-1", "iM.data_AATGGCTAGTCGGGAT-1", "iM.data_GTAGTACAGGTTATAG-1", "iM.data_GTGGAAGAGTCATAGA-1", "iM.data_GAAGCCCAGTATGACA-1", "iM.data_AAGACAATCAGGCGAA-1", "iM.data_CCAAGCGTCATAGACC-1", "iM.data_ACTATGGGTCAAATCC-1", "iM.data_CGTTAGAAGAGTTCGG-1", "iM.data_AATGACCGTAACCCGC-1", "iM.data_GCGTTTCGTGGCGCTT-1", "iM.data_TACGTCCTCTGCTAGA-1", "iM.data_TTTGATCGTAAGTTGA-1", "iM.data_ACAGCCGTCTAGTGTG-1", "iM.data_CCGGACACACCTTCGT-1", "iM.data_AGGAATATCGATACAC-1", "iM.data_TCGGATATCTGTACAG-1", "iM.data_CCTCAGTTCAGGCGAA-1", "iM.data_TCCTCCCCAAACGTGG-1", "iM.data_GGTTGTATCCTCACTG-1", "iM.data_GTAGTACAGAACTGAT-1", "iM.data_AAAGGGCGTTGGTGTT-1", "iM.data_CTGAATGCAGACCAAG-1", "iM.data_GACGTTAAGTTGGACG-1", "iM.data_GTTAGTGTCTCATGGA-1", "iM.data_ACGTAGTTCGTCAGAT-1", "iM.data_AGAGCAGAGGTCGTCC-1", "iM.data_GGTAATCGTGATATAG-1", "iM.data_CATTGTTAGGAAGTCC-1", "iM.data_CAGCCAGAGTGGAAGA-1", "iM.data_AGACAAAAGGTATAGT-1", "iM.data_TACACCCAGATTGGGC-1", "iM.data_CGGAACCCAGCTTTGA-1", "iM.data_CGAGAAGTCCACTAGA-1", "iM.data_GTGATGTCATACTGTG-1", "iM.data_TGGTAGTAGAGGGTAA-1", "iM.data_ATTCTACAGAGCAAGA-1", "iM.data_GAACGTTGTCGGTAAG-1", "iM.data_ACCACAAAGTATGGAT-1", "iM.data_ATGTCTTGTCAAGCGA-1", "iM.data_GGAGGATAGATACTGA-1", "iM.data_TGTTCTAGTCGGTAAG-1", "iM.data_CTCGAGGCATTGCTGA-1", "iM.data_AACAAGAAGAGAGCCT-1", "iM.data_ATCGGCGCAGCGGTCT-1", "iM.data_ACGTAGTGTGAATTGA-1", "iM.data_ATGAGGGTCTATTCGT-1", "iM.data_GCCAGCAAGTATGCAA-1", "iM.data_GTCATGATCACCTGTC-1", "iM.data_CCGGGTATCATCGGGC-1", "iM.data_GTTACGAGTTGTATGC-1", "iM.data_TCCTTCTAGATAGGGA-1", "iM.data_TACTTGTTCTGTCCCA-1", "iM.data_GAGCCTGGTACTCGAT-1", "iM.data_GACAGCCTCCTTTGAT-1", "iM.data_CTGGTCTGTACGATTC-1", "iM.data_TGTGATGCAGGCTACC-1", "iM.data_CCGTGAGCAATACGCT-1", "iM.data_GTCAAGTAGAAGGATG-1", "iM.data_TTTGTTGGTTTGGGAG-1", "iM.data_AAACGCTGTGATGTAA-1", "iM.data_GTCATCCAGTTGCGCC-1", "iM.data_CAGTTAGGTTGTACGT-1", "iM.data_CACGGGTTCGGCGATC-1", "iM.data_GAAATGACACGCGTGT-1", "iM.data_TTGAACGTCCGCGATG-1", "iM.data_GTGTAACAGATTAGTG-1", "iM.data_CTCAATTTCGGTCTAA-1", "iM.data_CACGGGTGTAACTGCT-1", "iM.data_ACCATTTAGGGCTTCC-1", "iM.data_TTGTTCAGTAGGTAGC-1", "iM.data_TGAGGAGCAGTGTGGA-1", "iM.data_TTTCGATTCTGATGGT-1", "iM.data_GTATTTCGTTACCGTA-1", "iM.data_GACGCTGGTAACGGTG-1", "iM.data_ATCCTATTCTGCATAG-1", "iM.data_GAAGCCCCAACCCGCA-1", "iM.data_TCATTCAAGTACCGGA-1", "iM.data_ACTTCCGAGAGATGCC-1", "iM.data_ACGTTCCCAATCGCGC-1", "iM.data_CTTCAATCATTCAGGT-1", "iM.data_CCCTAACAGCCTGTCG-1", "iM.data_CTGGCAGGTCATCGGC-1", "iM.data_TTACTGTCAAAGGCGT-1", "iM.data_GGAAGTGGTTCAAGTC-1", "iM.data_CTTTCAAAGAAGGGAT-1", "iM.data_TGCTCGTAGGGTGGGA-1", "iM.data_AGGGAGTAGCTGAGTG-1", "iM.data_CGGAACCGTTTAGAGA-1", "iM.data_AACTTCTGTAGCACAG-1", "iM.data_CCCGAAGCAAGATGTA-1", "iM.data_GTCACTCGTCAACATC-1", "iM.data_TGCATGACAAGACCTT-1", "iM.data_CAGTGCGCAAGTGGGT-1", "iM.data_CTGGCAGGTGCTTATG-1", "iM.data_ATGAGGGCAGCAGTAG-1", "iM.data_TACAGGTAGACATGCG-1", "iM.data_ACAGAAACATGACGAG-1", "iM.data_GATCAGTCAATTTCGG-1", "iM.data_CATCGGGTCGGTCTGG-1", "iM.data_ACCAACAAGGAATCGC-1", "iM.data_GTCTACCAGTGGACTG-1", "iM.data_CACTGAACAGCTTCCT-1", "iM.data_TGGTTAGGTGTGAGCA-1", "iM.data_GTCACGGCATGTGACT-1", "iM.data_GCAGCTGTCACCTCTG-1", "iM.data_CGGAATTGTTCGGCTG-1", "iM.data_GCCAGTGAGGATGAGA-1", "iM.data_ATAGAGAGTAATCAAG-1", "iM.data_GTCATCCGTGTGAATA-1", "iM.data_CCGGTGACATTCCTCG-1", "iM.data_CCGGTGAGTCAGCGTC-1", "iM.data_GCCAGCAGTGAGATAT-1", "iM.data_GGTTAACGTCGTGGTC-1", "iM.data_GCTCAAAAGTGCAAAT-1", "iM.data_GTTGTCCCAAGTGGGT-1", "iM.data_CCGGTGACAGTTGCGC-1", "iM.data_ACACCAACAAGACGAC-1", "iM.data_CTATAGGGTCGACGCT-1", "iM.data_GACTGATGTAGCCCTG-1", "iM.data_GGGAAGTTCTGGCCTT-1", "iM.data_TGGGCGTCAGTTAGAA-1", "iM.data_CACTGGGTCCGCGATG-1", "iM.data_AAGGTAAGTTATGTCG-1", "iM.data_AAGTCGTTCGACTCCT-1", "iM.data_CTAGGTAAGGATATAC-1", "iM.data_AAGACTCCAGTCGCTG-1", "iM.data_GGTGTTATCTCGGCTT-1", "iM.data_GTCCCATAGCCTCTTC-1", "iM.data_ACGTTCCCACATATCG-1", "iM.data_TAACTTCAGGAGTATT-1", "iM.data_TGGGAGACAATAGTAG-1", "iM.data_CATACAGTCGGTCTAA-1", "iM.data_CAGCACGCATCATCTT-1", "iM.data_TGTTCTATCTAGTGTG-1", "iM.data_AACCTGAAGCGAGGAG-1", "iM.data_GAGAAATTCTCGAGTA-1", "iM.data_CTTCTAAGTGCCTATA-1", "iM.data_CCAAGCGCACTATGTG-1", "iM.data_TGTTTGTTCCTCCACA-1", "iM.data_TGGTTAGGTACAGCGA-1", "iM.data_CATACTTGTGTTAACC-1", "iM.data_CTACAGAAGAACAGGA-1", "iM.data_GTTCATTTCTTTCGAT-1", "iM.data_GAGGGTATCTCCCAAC-1", "iM.data_CCTAAGATCCACGTCT-1", "iM.data_GGTGTCGTCACGAACT-1", "iM.data_CAAGCTACAGAGCTAG-1", "iM.data_GAGTTTGCAGTCCCGA-1", "iM.data_GCATTAGCAGGGATAC-1", "iM.data_GCATCGGCACGACCTG-1", "iM.data_TTGGGATAGCGACCCT-1", "iM.data_AGGTTGTAGGGTACGT-1", "iM.data_TCGAAGTAGTGCCTCG-1", "iM.data_AGGTTACAGTAACGTA-1", "iM.data_GAATCGTTCGCTCCTA-1", "iM.data_ACGGTCGCAAGCACAG-1", "iM.data_ATTGGGTGTGGTCTGC-1", "iM.data_TGAGTCAGTAAGTCAA-1", "iM.data_TTACGTTAGGCCTAGA-1", "iM.data_CATCCACCATGGGTCC-1", "iM.data_CATTGCCTCTCGCTCA-1", "iM.data_AACCCAACACCTCGTT-1", "iM.data_CTTGATTGTCTTTCAT-1", "iM.data_GCCATGGTCGGAGTGA-1", "iM.data_CTGAGCGCAATAACCC-1", "iM.data_CTATAGGAGTACGAGC-1", "iM.data_CTGCGAGAGACAACAT-1", "iM.data_CTGTAGATCTCATTGT-1", "iM.data_GCTTGGGTCTATACGG-1", "iM.data_TATTGCTGTAAGTTGA-1", "iM.data_AATCACGTCTATTCGT-1", "iM.data_GACCGTGAGGACTGGT-1", "iM.data_TGGGAGACAAATGGAT-1", "iM.data_TCAGTGAAGGATCATA-1", "iM.data_CTCATTAAGTGATTCC-1", "iM.data_GGGATGAGTGTCGATT-1", "iM.data_CGTAGTATCTGCACCT-1", "iM.data_GGTCACGGTAATGCTC-1", "iM.data_TTTATGCGTATACCCA-1", "iM.data_GATGGAGCACCTGCTT-1", "iM.data_GGGTGAATCCAGTGCG-1", "iM.data_TCACTCGTCTACACTT-1", "iM.data_ACCGTTCAGGATTACA-1", "iM.data_GCGTGCACACAGAGAC-1", "iM.data_GGGATCCGTGTTCGTA-1", "iM.data_GCATCTCAGGAATGTT-1", "iM.data_GATAGAAGTCAAAGTA-1", "iM.data_AGCGTATAGCACTAGG-1", "iM.data_TAAGCACTCGTGTGGC-1", "iM.data_AGGTCATTCGAAGAAT-1", "iM.data_GTTATGGAGCAGGCAT-1", "iM.data_AATGCCAGTGTGATGG-1", "iM.data_TGCATGATCGCAGTGC-1", "iM.data_CACTGGGGTGGAAATT-1", "iM.data_CAAAGAAAGGCTTAGG-1", "iM.data_AGCGTATCATGGAAGC-1", "iM.data_GTTCGCTAGCGTCAAG-1", "iM.data_TCGCTCAAGGCTTAGG-1", "iM.data_TGCGGGTTCGTGACTA-1", "iM.data_GGCTTTCAGGTCGTAG-1", "iM.data_ACTTATCAGTGGAAGA-1", "iM.data_GTCATTTGTGACTAAA-1", "iM.data_CTAACCCCATGAAGGC-1", "iM.data_TTCACCGGTCGTATTG-1", "iM.data_GATTTCTGTGCCTGCA-1", "iM.data_TGCCGAGCAACCACAT-1", "iM.data_CTACGGGCATGCCGCA-1", "iM.data_TGGGTTAAGTGATAAC-1", "iM.data_GACATCAGTCGGATTT-1", "iM.data_TGGGCGTCAAGTGTCT-1", "iM.data_TGCAGTATCATTACTC-1", "iM.data_AGGATCTAGTGGTTGG-1", "iM.data_ATAGAGATCAGCTTGA-1", "iM.data_TGCTGAATCTACCAGA-1", "iM.data_CGAATTGAGAGTTGTA-1", "iM.data_GTTGCGGTCAGGTAAA-1", "iM.data_TGGAGAGAGAGGGTAA-1", "iM.data_GGACGTCTCCATTCAT-1", "iM.data_TCTTTGAAGAAGCGAA-1", "iM.data_CTTCTAAAGACTGAGC-1", "iM.data_CACTGGGAGGTACTGG-1", "iM.data_TAGCACAAGGATATGT-1", "iM.data_TGTGTGAAGATGGTCG-1", "iM.data_GCTTGGGCAATTGCGT-1", "iM.data_AATGACCGTTGCCGAC-1", "iM.data_CCGTAGGAGGAATGTT-1", "iM.data_TGTCAGAGTAGCTTGT-1", "iM.data_CATCCGTAGGTTACAA-1", "iM.data_GTTGCGGAGTAGACCG-1", "iM.data_CTCAAGAGTTGGACTT-1", "iM.data_CCTCACATCACCTTAT-1", "iM.data_GAAGGACAGTGTCATC-1", "iM.data_GTGTTCCCAACGGCCT-1", "iM.data_TAGGTACGTATGCAAA-1", "iM.data_ATTCCATGTCTCAAGT-1", "iM.data_GTGAGTTTCTCGTTTA-1", "iM.data_TGATGGTGTATTCCTT-1", "iM.data_GTGGCGTGTGGATACG-1", "iM.data_TGTCAGAAGCACAAAT-1", "iM.data_TGATTCTGTTGCAACT-1", "iM.data_AGTAGTCTCGAGTTGT-1", "iM.data_CCTGCATGTACAGTTC-1", "iM.data_TTTGGTTCATGTCGTA-1", "iM.data_GTTACAGGTTGCATAC-1", "iM.data_GAAGAATCAATCCTAG-1", "iM.data_GTAGAAAAGGTCTTTG-1", "iM.data_AATCACGTCTTCCTAA-1", "iM.data_TTCATTGAGAATCGCG-1", "iM.data_TGATTCTGTCGTCGGT-1", "iM.data_AGCGCCACATTGACCA-1", "iM.data_TGCCGAGTCTGGCCTT-1", "iM.data_TGTTTGTGTCCCTAAA-1", "iM.data_TAACTTCGTATCTCTT-1", "iM.data_TTCTTCCGTCCTACGG-1", "iM.data_TAAGTCGCATGGAACG-1", "iM.data_TGTTCCGTCTACTGAG-1", "iM.data_CGTGAATAGTAATACG-1", "iM.data_TACGCTCGTATGCTTG-1", "iM.data_ACTTTCACACACCTGG-1", "iM.data_CTTTCGGGTGTATTGC-1", "iM.data_AGTCAACGTCGTGGAA-1", "iM.data_GTCACGGGTGTGGTCC-1", "iM.data_TCTTCCTCAGAGGCTA-1", "iM.data_TCTATCAAGCTCTATG-1", "iM.data_CAGATACTCGTGGCTG-1", "iM.data_GTACAGTGTAACGATA-1", "iM.data_AACAGGGAGACTCTTG-1", "iM.data_AGCGTATGTTGATGTC-1", "iM.data_GAGACTTCATTGTGCA-1", "iM.data_TCTGCCAGTCTGTGTA-1", "iM.data_AAGTGAAGTGTGATGG-1", "iM.data_ACGATCAAGTCTGCAT-1", "iM.data_CTCCACAGTCACTGAT-1", "iM.data_GGGCTCACAATTGCGT-1", "iM.data_GGAAGTGGTTAGGGTG-1", "iM.data_TCAATCTCAGCGGATA-1", "iM.data_CTACGGGGTTTAGAGA-1", "iM.data_TCTACCGCAACTTCTT-1", "iM.data_GCCTGTTGTTCGGTCG-1", "iM.data_TTGTGGAGTGAATGAT-1", "iM.data_ACCCAAAAGTGGACGT-1", "iM.data_ACTTCGCGTTGCCAAT-1", "iM.data_AGTACCAAGGGTTTCT-1", "iM.data_TGGTGATTCGCTGATA-1", "iM.data_TTCAGGAAGTCATACC-1", "iM.data_CATCAAGCATTGACTG-1", "iM.data_GACTATGAGTGATCGG-1", "iM.data_ATCCGTCCAGGAACCA-1", "iM.data_GAATAGAGTGGAAGTC-1", "iM.data_ACCCTTGTCATCGCCT-1", "iM.data_TATTGGGGTTGAGAGC-1", "iM.data_CCCGGAATCTATTGTC-1", "iM.data_TTCCTAACAGCGTATT-1", "iM.data_ATCAGGTTCGTGAGAG-1", "iM.data_GTCACGGTCCCATACC-1", "iM.data_CTGTGGGGTGTTCGTA-1", "iM.data_CAAGGGAAGAGCAAGA-1", "iM.data_GAATAGACAGACAAAT-1", "iM.data_CGGGTCAGTATCACCA-1", "iM.data_GTTAGACTCACAATGC-1", "iM.data_ATGAGGGAGTTACGAA-1", "iM.data_AGTACTGAGGGCCTCT-1", "iM.data_GATCGTAGTATTGACC-1", "iM.data_AGGTAGGTCAACGCTA-1", "iM.data_GAATCGTTCGCAGTTA-1", "iM.data_TGACAGTAGAGTTGAT-1", "iM.data_TCATTGTCAACTTGCA-1", "iM.data_CATCGTCGTTGTAAAG-1", "iM.data_TACCCGTTCTGCCTGT-1", "iM.data_CACCGTTAGACGGAAA-1", "iM.data_ACAACCAGTGAGACGT-1", "iM.data_AAAGTGAGTTCAAAGA-1", "iM.data_AAAGGGCGTCTACATG-1", "iM.data_TATACCTAGACGTCCC-1", "iM.data_GCTACCTTCAAGCTGT-1", "iM.data_TCTAACTTCAAGAATG-1", "iM.data_ACGCACGTCTAGTGTG-1", "iM.data_CAAGGGATCCACGTCT-1", "iM.data_CTGCATCGTCCGCAGT-1", "iM.data_AGGTTACCAGAAATTG-1", "iM.data_AGCGCTGTCTGAGAGG-1", "iM.data_CTCTGGTCAAGAGTGC-1", "iM.data_CGTAAGTTCATTTGTC-1", "iM.data_TCAATTCTCGGCATAT-1", "iM.data_CTAACTTAGCAAGTGC-1", "iM.data_AAAGTCCAGCCATATC-1", "iM.data_CTCATCGGTGTGTGTT-1", "iM.data_CTAGACAAGATGTTAG-1", "iM.data_ACGTACAGTAGATTGA-1", "iM.data_ATTCTACAGCGATGGT-1", "iM.data_CGCATAACAAGTGGAC-1", "iM.data_GCCATTCGTACGAAAT-1", "iM.data_ATGGGAGGTTAAACCC-1", "iM.data_AAGGAATGTGGAAATT-1", "iM.data_GGAGGTATCTAGCCTC-1", "iM.data_TTTCACATCGGAACTT-1", "iM.data_GTGGGAAGTCGGATTT-1", "iM.data_CTGGCAGAGGTTATAG-1", "iM.data_GCTACCTGTGGGAGAG-1", "iM.data_TGGTGATTCCATTGGA-1", "iM.data_TATCTTGCAATGCTCA-1", "iM.data_GATAGCTAGTGTTGTC-1", "iM.data_ACTTCGCGTTCTCCCA-1", "iM.data_GGGATCCGTCCTGGTG-1", "iM.data_CCACGTTCAAGACCTT-1", "iM.data_GTGGTTATCGTGCGAC-1", "iM.data_CGAGTGCTCCGATCGG-1", "iM.data_TCTGCCAGTCAACATC-1", "iM.data_GGGTGAATCAGACAAA-1", "iM.data_CTCGAGGAGGGCTGAT-1", "iM.data_AGTGATCGTCGTTGGC-1", "iM.data_CACTAAGTCAGCAGAG-1", "iM.data_AACCATGAGTTGCGCC-1", "iM.data_ATCGTCCTCGCCAATA-1", "iM.data_GGGCTACTCTAACGGT-1", "iM.data_CGTAGTACAAGGAGTC-1", "iM.data_CACTAAGGTAGAGTTA-1", "iM.data_GGGCGTTGTTGTAAAG-1", "iM.data_TTTCACAGTTATCCAG-1", "iM.data_TTTGGTTCACCAGCGT-1", "iM.data_GTTATGGAGTTAGAAC-1", "iM.data_GTTTGGAAGGCATTTC-1", "iM.data_TTGCTGCAGACCCGCT-1", "iM.data_TTCGATTGTAAGGCTG-1", "iM.data_ATGCATGTCCTGGGAC-1", "iM.data_GAAGGACGTTAAGGGC-1", "iM.data_CGAAGTTTCTCACGAA-1", "iM.data_GTGAGGATCGTCTCAC-1", "iM.data_GAATAGATCCGTGTGG-1", "iM.data_TGTGTGAGTTCTTAGG-1", "iM.data_TCTCCGACAAACTCGT-1", "iM.data_CTCTGGTCACGACAAG-1", "iM.data_TACCTGCTCCTAAGTG-1", "iM.data_CATAAGCAGGCCTGCT-1", "iM.data_TTCCTAAGTCGGCACT-1", "iM.data_TCGAACACACGTCGGT-1", "iM.data_GCCAGCAGTGTTAGCT-1", "iM.data_CCCATTGAGGTCGTGA-1", "iM.data_GGGCGTTAGAGCTGAC-1", "iM.data_GAGATGGGTCAACCAT-1", "iM.data_GCAACATAGCCATTGT-1", "iM.data_TGGTACAGTACTGACT-1", "iM.data_CAGTGCGTCAGCTTGA-1", "iM.data_CGGCAGTGTGACGCCT-1", "iM.data_TTGCGTCTCCAAGGGA-1", "iM.data_GCACGGTCAGCCCAGT-1", "iM.data_TAGTGCAAGCTAGAGC-1", "iM.data_GCAGCCAGTAGGACCA-1", "iM.data_GAGGGTATCCACAGCG-1", "iM.data_GGTAACTGTCGTCAGC-1", "iM.data_GATCAGTCAGAGGACT-1", "iM.data_CTCATTAGTGGCTCTG-1", "iM.data_ATCAGGTGTTTGTTGG-1", "iM.data_TGAATCGCAGGGCTTC-1", "iM.data_GAGACTTAGGCCACCT-1", "iM.data_TACCTGCAGGATATAC-1", "iM.data_TTCGATTGTTGCGTAT-1", "iM.data_GGGAAGTGTACTCCGG-1", "iM.data_GGAGGATAGTTCTACG-1", "iM.data_AAAGAACAGAGAATCT-1", "iM.data_TACATTCGTCCTGGGT-1", "iM.data_TTTACTGGTCACCGCA-1", "iM.data_AGTAGCTCACATGGTT-1", "iM.data_GTCCCATCATAACTCG-1", "iM.data_TACTTACCAGGTTCGC-1", "iM.data_GTGCAGCAGACCTGGA-1", "iM.data_CATTCATGTCGGTGTC-1", "iM.data_GGGAAGTTCTAGAACC-1", "iM.data_TGTGATGAGAAACTAC-1", "iM.data_GTGTCCTGTATCGGTT-1", "iM.data_GGATCTAGTAACATGA-1", "iM.data_ACTGTCCAGTGGGAAA-1", "iM.data_AGAAGCGGTAGACGTG-1", "iM.data_GAAGCGATCTCTTAAC-1", "iM.data_GCAGGCTGTGACTAAA-1", "iM.data_TCTGCCACATAGGTAA-1", "iM.data_TTTCAGTTCTCTGAGA-1", "iM.data_GACTCTCAGTACGTCT-1", "iM.data_GGCGTCACAAATCGGG-1", "iM.data_TTTACTGAGTTGAATG-1", "iM.data_TATTGGGTCCGCGAGT-1", "iM.data_TCACTATGTACGACAG-1", "iM.data_GTAGCTAAGTCTGCGC-1", "iM.data_GGAGGTACAATTGCCA-1", "iM.data_CGCATGGGTACGTGTT-1", "iM.data_GATTCTTAGGTCCCGT-1", "iM.data_AGCGTATAGTCTTGGT-1", "iM.data_AGACAAAAGAGTCTTC-1", "iM.data_CTATCCGAGTGATAGT-1", "iM.data_TTAGTCTGTTGGGCCT-1", "iM.data_AGATAGAAGGCGAACT-1", "iM.data_ATTCAGGCAGGGAATC-1", "iM.data_AGTCACATCAGGACGA-1", "iM.data_CTAACTTAGTAGATCA-1", "iM.data_TTGGGATGTGCTCTCT-1", "iM.data_GTTATGGGTCGGCCTA-1", "iM.data_AGCATCACATCTGCGG-1", "iM.data_GCAGCCAAGCCTTTGA-1", "iM.data_CGAGAAGAGTTGAAGT-1", "iM.data_CCACTTGGTGTCATTG-1", "iM.data_GTGGAAGCATCCAATG-1", "iM.data_GGTAGAGAGTTGCGCC-1", "iM.data_AGGTAGGGTGATGTAA-1", "iM.data_CGGAATTTCAGGAAGC-1", "iM.data_AACCTTTGTGTGTTTG-1", "iM.data_AAGTACCTCGTGTGGC-1", "iM.data_GTTCGCTGTGTTCAGT-1", "iM.data_GTGTTAGCAGTGTACT-1", "iM.data_GCTTCACTCAGCGCAC-1", "iM.data_TGAGTCACATCGGCCA-1", "iM.data_CAATACGGTATTGCCA-1", "iM.data_TCGCAGGGTTCCTTGC-1", "iM.data_CAAGGGATCCTAAACG-1", "iM.data_CTACCCATCAGCATTG-1", "iM.data_GTCTGTCGTTGGTAGG-1", "iM.data_CTGGTCTCATACCAGT-1", "iM.data_CTAACTTTCATGAGTC-1", "iM.data_TGGAGGACACAACGTT-1", "iM.data_CTCTCGACAGTTGGTT-1", "iM.data_GTTGCTCTCTCTCTTC-1", "iM.data_ACACTGACAAGTTTGC-1", "iM.data_CTATCCGAGTGCCAGA-1", "iM.data_CCATCACAGGTTAGTA-1", "iM.data_GCGTTTCCAACAGAGC-1", "iM.data_CATCCGTGTGTACGCC-1", "iM.data_GTTGAACTCGGCATTA-1", "iM.data_GTCAGCGTCCTAGAGT-1", "iM.data_GGTTGTAGTAGGTAGC-1", "iM.data_GATCACAAGAAAGCGA-1", "iM.data_AGACCCGAGTCGCCAC-1", "iM.data_GTCTGTCGTGATTAGA-1", "iM.data_CCCGGAAGTATGCTAC-1", "iM.data_TGAGGTTGTATCCCTC-1", "iM.data_GCAACCGAGTGAGGTC-1", "iM.data_AAAGAACCAGCGTGAA-1", "iM.data_AATTTCCAGGTTCACT-1", "iM.data_TTGCTGCTCGATTTCT-1", "iM.data_TTGTGGATCTGCGGAC-1", "iM.data_GGCTTGGAGCACTAAA-1", "iM.data_GGGATCCAGTGCACAG-1", "iM.data_CAACAGTCAATCTGCA-1", "iM.data_TCTATCAAGAGTGGCT-1", "iM.data_TCTAACTAGGTGCTAG-1", "iM.data_CATTCTATCCTGTACC-1", "iM.data_AAGCGTTAGGGTGAAA-1", "iM.data_GTTGTAGAGTGAGTGC-1", "iM.data_TGAGTCAGTCGAAACG-1", "iM.data_CAAAGAACATCGTTCC-1", "iM.data_GTATTTCTCGGAGTGA-1", "iM.data_AATCACGGTTCTCCCA-1", "iM.data_CATAGACCAGCATGCC-1", "iM.data_TACCTGCTCATGAGAA-1", "iM.data_CTGCAGGGTGCCTGCA-1", "iM.data_TATTTCGCAAGGACAC-1", "iM.data_TCATTACGTTTCGTTT-1", "iM.data_AGCGTATGTACGTGAG-1", "iM.data_GTCCACTAGTTTGGCT-1", "iM.data_TTACCGCTCGCCGAGT-1", "iM.data_TGCGACGAGGTGCATG-1", "iM.data_TCACATTTCGATGCTA-1", "iM.data_TGTGTGACATGTGGCC-1", "iM.data_TTCCACGGTTAACCTG-1", "iM.data_ACAGAAAAGATGAAGG-1", "iM.data_TCGTAGACACCGAATT-1", "iM.data_TGTGGCGGTTAAACAG-1", "iM.data_TGTTCTAGTTTGTTGG-1", "iM.data_CCTAACCTCGAAGTGG-1", "iM.data_CGGGTGTGTGCACATT-1", "iM.data_CCACAAAAGTAGGCCA-1", "iM.data_AGAGCAGAGACGGTTG-1", "iM.data_GTTACCCCACGGCCAT-1", "iM.data_GTACAACGTGCCGGTT-1", "iM.data_GTCCCATTCGTCGCTT-1", "iM.data_AATCGACCAACCGGAA-1", "iM.data_CCTCTAGCATGAAGCG-1", "iM.data_AGTAGTCTCAGGCGAA-1", "iM.data_GACCCTTCACAACATC-1", "iM.data_AGGATAAAGAGACAAG-1", "iM.data_TTAGTCTGTACTGGGA-1", "iM.data_TCTCACGGTACACGTT-1", "iM.data_GTCATCCGTATAGGGC-1", "iM.data_AGGATCTGTTGGCCGT-1", "iM.data_TCTATCATCCTTCTAA-1", "iM.data_ACACGCGAGTAAACAC-1", "iM.data_TCCACCAGTGGAATGC-1", "iM.data_AACCTTTTCTTGCGCT-1", "iM.data_GTCATCCAGCCGTTGC-1", "iM.data_CGAATTGCAAGTCGTT-1", "iM.data_CGTAATGCACACTTAG-1", "iM.data_TCGCAGGGTCGAGCTC-1", "iM.data_GGGTGTCCAATAGGAT-1", "iM.data_TATCCTATCCGCGGAT-1", "iM.data_TGCGACGTCTATACGG-1", "iM.data_TGTAGACTCGTAACTG-1", "iM.data_GCAACCGGTGCGACAA-1", "iM.data_GTAACACGTCTTCTAT-1", "iM.data_AAAGGTAGTGTGTTTG-1", "iM.data_TCGGATAGTTGCTCGG-1", "iM.data_CACTGAACATCGATGT-1", "iM.data_CATCGCTCAAAGGCGT-1", "iM.data_CATGGATAGCGCCGTT-1", "iM.data_AAAGGTAGTGACCTGC-1", "iM.data_TCCTTTCGTTCAAGGG-1", "iM.data_GGGAGTACAGTCGCTG-1", "iM.data_TCACAAGTCCGGTAAT-1", "iM.data_AAGACTCGTTTAGACC-1", "iM.data_CCTCAACCACTAGAGG-1", "iM.data_AGTCTCCGTAGTCTTG-1", "iM.data_TTGGTTTTCACAAGAA-1", "iM.data_TTGAGTGGTTGCGAAG-1", "iM.data_TAGTGCATCCGTGGTG-1", "iM.data_TGAACGTGTGTATTGC-1", "iM.data_TTTACGTCATCCTTGC-1", "iM.data_TGATTCTAGGTAAACT-1", "iM.data_TGTTCCGGTATAGGGC-1", "iM.data_AACGGGATCTCGCTCA-1", "iM.data_GGAGGATTCCAGTGTA-1", "iM.data_TCGATTTCACTAGGTT-1", "iM.data_TTTCATGCAGTTACCA-1", "iM.data_CCCTAACAGGTTAAAC-1", "iM.data_GCATCTCAGGTCACAG-1", "iM.data_GCCATTCAGGTACTGG-1", "iM.data_CATTCTATCTGGGTCG-1", "iM.data_TTCCTCTCATCGGAGA-1", "iM.data_ACCTGTCGTGGCTTAT-1", "iM.data_AGACCATGTAGCGAGT-1", "iM.data_CTGGCAGGTCCCTCAT-1", "iM.data_TGTCAGATCAGACAAA-1", "iM.data_CATTCCGTCCGATGTA-1", "iM.data_CTTCCGAAGTTCACTG-1", "iM.data_AGTTCGACACCTTCGT-1", "iM.data_GCACGTGAGGTTGAGC-1", "iM.data_ATCGGATCAACTGAAA-1", "iM.data_AGGATCTAGGTTCTTG-1", "iM.data_GGCTTTCGTACCTATG-1", "iM.data_GAATCGTTCATTACGG-1", "iM.data_TGCTCCAAGGACTAAT-1", "iM.data_GCCCGAATCAAGGACG-1", "iM.data_AGGAAATAGAGTTGAT-1", "iM.data_TATTTCGAGAGAAGGT-1", "iM.data_CATTCATGTTTGTGGT-1", "iM.data_TAGGGTTGTACGTACT-1", "iM.data_ATCCGTCGTAGGTAGC-1", "iM.data_CCAATGAAGAAACTAC-1", "iM.data_GGGACTCGTCAAAGTA-1", "iM.data_GTGCAGCGTGATTGGG-1", "iM.data_ACAAGCTTCTCTGCCA-1", "iM.data_ACCTGAATCGAGATGG-1", "iM.data_ATCACTTAGTAGTCCT-1", "iM.data_ATCGCCTAGAGCGACT-1", "iM.data_CTTCTCTCAGTCTGGC-1", "iM.data_CGGGTGTCACGTAGAG-1", "iM.data_GCATCGGGTGCGGTAA-1", "iM.data_TGCAGGCGTAGTCTTG-1", "iM.data_TTCAATCGTAGGCAGT-1", "iM.data_GTAATCGGTTACCTGA-1", "iM.data_GGAAGTGCATAATCGC-1", "iM.data_CTGTAGACACTTCTCG-1", "iM.data_GGGCGTTGTCCTCCAT-1", "iM.data_GTGAGGAAGACCGTTT-1", "iM.data_CTTCAATCAAGACCGA-1", "iM.data_CTTCCTTGTGCCGTTG-1", "iM.data_CTATCCGTCCTGTTAT-1", "iM.data_AGATAGAAGCGATCGA-1", "iM.data_TTCGGTCCATTGCCTC-1", "iM.data_TGAGGGACAACCGTAT-1", "iM.data_CTATCTAGTTCGGTCG-1", "iM.data_GATGACTAGCAGTACG-1", "iM.data_CTGCATCCACCGGCTA-1", "iM.data_AGCTACATCCCTGGTT-1", "iM.data_AGCTTCCTCAACTGGT-1", "iM.data_CGGGACTAGCAATTCC-1", "iM.data_CATAGACGTACGCTTA-1", "iM.data_GTCTAGAGTCGCATCG-1", "iM.data_CTCCAACGTGATTAGA-1", "iM.data_GCGTGCAAGTAGCATA-1", "iM.data_CCCGGAATCCATACAG-1", "iM.data_TGGGTTAGTAGCTAAA-1", "iM.data_ATCACTTGTCGTAATC-1", "iM.data_TGAGGAGAGCGTTCAT-1", "iM.data_TGTGAGTGTCATCCCT-1", "iM.data_TTTGACTCATTCTGTT-1", "iM.data_TCGGGTGCACTTGGGC-1", "iM.data_AACGTCAGTGTGGACA-1", "iM.data_CACTGGGCATGTTTGG-1", "iM.data_GTAGAAAGTATCGTGT-1", "iM.data_CACTTCGAGAAATGGG-1", "iM.data_TGAACGTCAAGTGGAC-1", "iM.data_CCGAACGCAGCAAGAC-1", "iM.data_GGGATGAAGTATGACA-1", "iM.data_CGGGACTGTACGACAG-1", "iM.data_TCATTGTAGCGGGTAT-1", "iM.data_CTTCTAAAGCCTCATA-1", "iM.data_AGGGTGACACGTGTGC-1", "iM.data_GTGCGTGCACCTGATA-1", "iM.data_GTGGCGTCACGGGTAA-1", "iM.data_AGGTCTAGTGGCTCTG-1", "iM.data_TTGCGTCTCCTTCGAC-1", "iM.data_CTCACTGAGCTGTTCA-1", "iM.data_GAGGGTATCCTGGGTG-1", "iM.data_CTTGATTCATGCCGGT-1", "iM.data_CTTCTCTCAACGATCT-1", "iM.data_TCACGCTTCTACGGGC-1", "iM.data_AATGAAGGTCCCTGTT-1", "iM.data_ACATCGATCTGAGGTT-1", "iM.data_CATCCGTTCGGTAACT-1", "iM.data_CGCCATTAGGTATAGT-1", "iM.data_GTGTCCTCAAGGTTGG-1", "iM.data_GATTCTTCACGATAGG-1", "iM.data_GTAGTACGTGGGCTTC-1", "iM.data_GTGAGTTTCGCAGTTA-1", "iM.data_TACAACGAGCTCTATG-1", "iM.data_TTAGGCAGTTGACGGA-1", "iM.data_AGTACCAGTACGCGTC-1", "iM.data_GTAACCAAGTTGAAAC-1", "iM.data_TCCACGTAGGAACGCT-1", "iM.data_TTCTCTCTCCCAGCGA-1", "iM.data_CTGCTCAAGAAGATCT-1", "iM.data_ACATTTCTCTAAGAAG-1", "iM.data_AGTAACCCATGACGGA-1", "iM.data_GATCAGTAGAACTGAT-1", "iM.data_CATGCAACACGGGCTT-1", "iM.data_TCACTCGAGGATCACG-1", "iM.data_TCGCTCAGTGTTGACT-1", "iM.data_TACTTACTCAGGAACG-1", "iM.data_CCGTAGGAGGGCAATC-1", "iM.data_TAGTGCACACTCAGAT-1", "iM.data_GTGTGGCCAGCTGCCA-1", "iM.data_ATAGAGAGTTACCTGA-1", "iM.data_GTATTGGGTTGCATTG-1", "iM.data_CGTGCTTGTGGCATCC-1", "iM.data_GTTTACTCAGGTTACT-1", "iM.data_AACCATGTCGCGCCAA-1", "iM.data_GAACTGTCAATTCTTC-1", "iM.data_TGCAGATAGGTGATAT-1", "iM.data_TATCTTGTCTGTGTGA-1", "iM.data_CGATGCGTCCCACAGG-1", "iM.data_ACTTCCGAGCTCGACC-1", "iM.data_TCAGCAAGTGTCTTCC-1", "iM.data_CCCATTGCATTGGCAT-1", "iM.data_AATAGAGCAGGTACGA-1", "iM.data_TACTTGTAGGCCCGTT-1", "iM.data_ACATGCAAGCAGTAAT-1", "iM.data_AACGGGACACTCACTC-1", "iM.data_CCTCAGTGTGATCGTT-1", "iM.data_GTTACCCAGCGTGCTC-1", "iM.data_TTACAGGCACCAACAT-1", "iM.data_GAGGCCTGTCGAGCTC-1", "iM.data_TGTCAGAAGTTCTACG-1", "iM.data_TTACCATTCGCGTCGA-1", "iM.data_GTGTTCCGTCACTACA-1", "iM.data_TCATTACGTGCAACAG-1", "iM.data_AAGTTCGAGCAAACAT-1", "iM.data_CAGATACTCGTGCACG-1", "iM.data_ATTCACTCATTCGATG-1", "iM.data_TTACGCCGTCGACGCT-1", "iM.data_CTCCTCCGTTTAGTCG-1", "iM.data_TGGGCGTAGGATCATA-1", "iM.data_CCGATCTGTCAAAGAT-1", "iM.data_GAGTCATAGTTTCGGT-1", "iM.data_TGACTCCTCCCACAGG-1", "iM.data_CCATAAGAGGAGGTTC-1", "iM.data_TCATTACTCAGCACCG-1", "iM.data_GATTCGAAGCTGAAAT-1", "iM.data_GATCACAAGGATGCGT-1", "iM.data_GTTGTAGCAACGACAG-1", "iM.data_GGTTAACGTGCAACAG-1", "iM.data_GCAGTTATCCTGCTAC-1", "iM.data_CTAGACAGTATTCCGA-1", "iM.data_TTTGATCCAGGTCCCA-1", "iM.data_CAGATTGTCGGCCTTT-1", "iM.data_CCGGGTAGTCCATACA-1", "iM.data_TGTGATGGTTGCGGAA-1", "iM.data_CATCCGTAGCGCTTCG-1", "iM.data_ATCTTCAAGCTCGCAC-1", "iM.data_AGTACTGTCCCGAGTG-1", "iM.data_GGATCTATCCGATAAC-1", "iM.data_TTCACGCGTAGCGTAG-1", "iM.data_CAGCGTGCAAATGGTA-1", "iM.data_TGTGGCGGTGCCCACA-1", "iM.data_CACATGATCTTTGGAG-1", "iM.data_ACTATCTGTGGGCTCT-1", "iM.data_TGCTGAAAGCACGTCC-1", "iM.data_GAATAGATCCAATCTT-1", "iM.data_AGTTAGCAGGATAATC-1", "iM.data_ACTTATCGTATTTCTC-1", "iM.data_CATCGTCAGACCTGGA-1", "iM.data_GGGCCATCACTTTATC-1", "iM.data_CAGTGCGTCCACACCT-1", "iM.data_TCATTTGGTGAATATG-1", "iM.data_TTGGGATTCTGGGCGT-1", "iM.data_AATCGTGGTAGTCTTG-1", "iM.data_GTAGGAGAGTCATGGG-1", "iM.data_GTGCACGCACTCAGAT-1", "iM.data_TGTTACTAGCCGATTT-1", "iM.data_CTGATCCCAACGGTAG-1", "iM.data_TGCGACGGTGTGTTTG-1", "iM.data_GTCCACTCATCATGAC-1", "iM.data_CTCTGGTTCAATCTTC-1", "iM.data_CACGGGTGTCTGGTTA-1", "iM.data_ATTTCTGAGCATATGA-1", "iM.data_AGAAATGCAGTTTGGT-1", "iM.data_GAACGTTTCTGAGAGG-1", "iM.data_TGTGTGATCAAATGAG-1", "iM.data_TCGGGCAGTAACAGGC-1", "iM.data_CTTCGGTTCTACTGCC-1", "iM.data_TAGAGTCGTCAGTCTA-1", "iM.data_GATCATGAGTGATCGG-1", "iM.data_TCGATTTGTTGCGTAT-1", "iM.data_TCACTCGGTATCACGT-1", "iM.data_TACATTCAGCGTACAG-1", "iM.data_TGAGCATAGAAGCGCT-1", "iM.data_CAGAGCCCAAGACGGT-1", "iM.data_AGGAAATAGCCTGTCG-1", "iM.data_CACTTCGAGAGTTGTA-1", "iM.data_ATTGGGTTCCCTCGTA-1", "iM.data_CACTGAAGTAGGTACG-1", "iM.data_GCGATCGTCTCCCAAC-1", "iM.data_CTCATCGTCTAGCCTC-1", "iM.data_TAGACCATCGGCTTGG-1", "iM.data_TCGTAGATCCTACAAG-1", "iM.data_GTAACCACATATACCG-1", "iM.data_ACGTTCCGTCCCGCAA-1", "iM.data_GAATAGATCACCTCAC-1", "iM.data_CTAGGTACAAGAATGT-1", "iM.data_CCTCCAAGTGTGACCC-1", "iM.data_GATGAGGTCTCCGTGT-1", "iM.data_CCACTTGGTCGGTACC-1", "iM.data_TCATGGAGTGAGCCAA-1", "iM.data_GTCACGGGTGGAAGTC-1", "iM.data_AGCATCATCTTACCAT-1", "iM.data_CAGTTAGTCGTTATCT-1", "iM.data_CCGTAGGCACAGTGAG-1", "iM.data_CCACCATGTAAGTTGA-1", "iM.data_TCATGGAGTGCTGATT-1", "iM.data_CTAACTTTCAGGAAAT-1", "iM.data_CAGCAGCTCTCTGACC-1", "iM.data_TCAAGACTCTGCACCT-1", "iM.data_CCTCTAGGTTGGGACA-1", "iM.data_AATGCCAGTATCACCA-1", "iM.data_TTCCGGTGTGAATAAC-1", "iM.data_TGTTCTAAGTGAGTGC-1", "iM.data_TCACGGGAGTCCTACA-1", "iM.data_GATTGGTAGGTAGATT-1", "iM.data_AGACAAAGTCAAGGCA-1", "iM.data_AATGGAAAGATTAGCA-1", "iM.data_TTCTTCCGTGGTAACG-1", "iM.data_GTAACACTCTGTGCTC-1", "iM.data_GAGTGAGTCTCGTGAA-1", "iM.data_ATTTCTGTCTAGGAAA-1", "iM.data_AGTGACTGTGCGACAA-1", "iM.data_GGTAATCGTTGTGTAC-1", "iM.data_CGTGTCTAGCTTCGTA-1", "iM.data_TTGAGTGGTGCACGCT-1", "iM.data_TGGTTAGAGCTTTCCC-1", "iM.data_CCGTGAGCAACGTATC-1", "iM.data_CTCAAGATCCCATTCG-1", "iM.data_CGGGTGTTCGAGCACC-1", "iM.data_TTCCACGGTCGTCATA-1", "iM.data_TGTGATGGTCTTTATC-1", "iM.data_TCGGGTGTCAATGCAC-1", "iM.data_GCCCAGAAGACTACCT-1", "iM.data_ATTTCTGAGATCGCTT-1", "iM.data_AAGACAAAGCGACCCT-1", "iM.data_CTGCTCATCTCAGGCG-1", "iM.data_ATCGCCTCAGGGCTTC-1", "iM.data_GGGTTTAGTATGAAAC-1", "iM.data_TCCCACATCACTCACC-1", "iM.data_GATAGCTAGGATAATC-1", "iM.data_GGTCTGGGTAACGATA-1", "iM.data_TTCCACGGTAATCAGA-1", "iM.data_AGAACAAGTACACGCC-1", "iM.data_AACAACCGTATATGGA-1", "iM.data_CGAGTTACAAGTACCT-1", "iM.data_AGCCACGGTACCATAC-1", "iM.data_GAATCGTGTGGCATCC-1", "iM.data_TGGTGATCACAGAGAC-1", "iM.data_TCTACCGGTAAGCAAT-1", "iM.data_AGGACGAAGTTTCGGT-1", "iM.data_CTTTCAAGTAAGCGGT-1", "iM.data_GTGTTCCCAGCTCATA-1", "iM.data_CATGAGTGTGAGCGAT-1", "iM.data_GGTTGTAAGATCCCGC-1", "iM.data_TGTTACTGTACCATAC-1", "iM.data_ACGTTCCAGGTGCTGA-1", "iM.data_GACTCTCGTGCCTATA-1", "iM.data_GCTTTCGCAAATTAGG-1", "iM.data_TTCTGTAAGCCGTTGC-1", "iM.data_GATCAGTCAAACGAGC-1", "iM.data_GATTGGTCACGTCGGT-1", "iM.data_GGCTTTCGTAAGTTGA-1", "iM.data_CGTTCTGCAGGCATTT-1", "iM.data_AAGACAAGTGCCGTTG-1", "iM.data_GCTTTCGGTTATCCAG-1", "iM.data_AACCATGGTAGTCTTG-1", "iM.data_GGAAGTGGTCCGTACG-1", "iM.data_TATCTGTAGCTCTTCC-1", "iM.data_CGCATAAGTGGGTCAA-1", "iM.data_TAGAGTCAGGACATCG-1", "iM.data_AATTCCTAGTTGCGAG-1", "iM.data_CTCATGCAGCCACCGT-1", "iM.data_CCCAACTTCGTAACCA-1", "iM.data_TGACAGTAGGCCTAGA-1", "iM.data_ATGCGATAGGCCTTCG-1", "iM.data_ACGGGTCTCGCTGACG-1", "iM.data_TCGAAGTGTATAGGAT-1", "iM.data_TTCTAGTAGATGTAGT-1", "iM.data_TCACTATAGTGACACG-1", "iM.data_GCTTGGGAGAAAGCGA-1", "iM.data_TAACCAGAGCTCTGTA-1", "iM.data_GAGCTGCAGTGGGAAA-1", "iM.data_TGGGCGTGTATCACGT-1", "iM.data_CCTCCAACATCTAACG-1", "iM.data_TCCTTCTAGCCTATTG-1", "iM.data_CCACGTTCATACTGAC-1", "iM.data_TGGAGAGTCCTTCTGG-1", "iM.data_TTGAACGAGACTCCGC-1", "iM.data_GGCAGTCTCTAGTGTG-1", "iM.data_TCATGCCAGAAATCCA-1", "iM.data_CTCAACCGTGTACATC-1", "iM.data_CATTCTATCGACCAAT-1", "iM.data_GAGTTGTTCATACGAC-1", "iM.data_TTTGTTGTCCTACGAA-1", "iM.data_GGGACTCGTTACTCAG-1", "iM.data_AACACACAGTGCGACA-1", "iM.data_TGATCAGGTATTTCTC-1", "iM.data_GAGTTGTCACACCTTC-1", "iM.data_CACTGAACAGGCGTTC-1", "iM.data_GAGTCTAGTACCGTCG-1", "iM.data_ATCACGAAGACGTCGA-1", "iM.data_GTCACGGGTCACCGCA-1", "iM.data_CATACAGTCCTTCACG-1", "iM.data_TATTGGGTCTGCGAGC-1", "iM.data_GATTTCTGTTGACGGA-1", "iM.data_ATTCATCGTAGCGTAG-1", "iM.data_CTTCAATAGACTCAAA-1", "iM.data_CTATCCGGTACTGCGC-1", "iM.data_AACCAACAGACTACGG-1", "iM.data_CGAGTTAAGCCGTAAG-1", "iM.data_ACAAAGAGTATTCCGA-1", "iM.data_TCCATCGGTCGGTGTC-1", "iM.data_CGTCCATTCCATTCAT-1", "iM.data_GTCGTAAAGGAGATAG-1", "iM.data_GAAACCTGTTCAGCTA-1", "iM.data_TGAGGGATCTTTCCGG-1", "iM.data_AGAGCAGTCCTCGCAT-1", "iM.data_ATCTTCATCAGACAAA-1", "iM.data_AAGTGAAAGAGCCATG-1", "iM.data_TCGATTTAGCACCGTC-1", "iM.data_GTGTGGCAGATACCAA-1", "iM.data_TGTCAGACATTGACTG-1", "iM.data_GGGACTCAGTGCCAGA-1", "iM.data_GATCATGAGATTGACA-1", "iM.data_AGAGCCCAGGCTGTAG-1", "iM.data_ACCAAACTCTACGGTA-1", "iM.data_GTAGAGGCAATCCAGT-1", "iM.data_GACTCTCGTGACTGAG-1", "iM.data_CACCGTTGTAACCAGG-1", "iM.data_CATGGATAGTACTGGG-1", "iM.data_AGGAAATAGAAGTCCG-1", "iM.data_GTGGAGACAAAGCTCT-1", "iM.data_AGGGTCCTCCGGACGT-1", "iM.data_CCTGTTGCAAGGATGC-1", "iM.data_CAGCCAGCAGATTAAG-1", "iM.data_CGATGGCTCCCTCGAT-1", "iM.data_CACGTGGCACGTAGAG-1", "iM.data_TGAGTCAGTTCTCCCA-1", "iM.data_GTGGGAAGTCAGGCAA-1", "iM.data_TGTGCGGAGCGGGTAT-1", "iM.data_CTGTGAATCGCTCCTA-1", "iM.data_AAGCATCGTAGCACAG-1", "iM.data_GTCGTAACAGAGACTG-1", "iM.data_TTCTTGATCTGGAAGG-1", "iM.data_ATCGGCGGTGATGTAA-1", "iM.data_TGCAGATGTGTAGTGG-1", "iM.data_AATGAAGGTGCCTATA-1", "iM.data_TCGATTTCAAAGACTA-1", "iM.data_TTGTGGACAAAGCGTG-1", "iM.data_ATTACTCGTAGATTAG-1", "iM.data_AAAGGTATCCATTTCA-1", "iM.data_TTTGTTGCATAGACTC-1", "iM.data_ATGTCCCGTTCGGTAT-1", "iM.data_GTCCCATTCCAAATGC-1", "iM.data_GACGTTAAGCTGCGAA-1", "iM.data_GGACGTCAGTCAGCGA-1", "iM.data_CACACAAGTGATCGTT-1", "iM.data_AATGGCTCAGTAGAGC-1", "iM.data_TTCTTCCTCGCCTAGG-1", "iM.data_TCGCAGGTCAACTCTT-1", "iM.data_AAGCGTTTCAACTACG-1", "iM.data_TCGGATACATTGACTG-1", "iM.data_CTCCGATCAGGCAATG-1", "iM.data_ACTTTGTGTACGCTAT-1", "iM.data_GTTGCGGGTGTACAGG-1", "iM.data_CTTCAATCATAGATCC-1", "iM.data_ACTACGAAGGTTCATC-1", "iM.data_GGGATGAAGACGGAAA-1", "iM.data_CCCGAAGCAACTCATG-1", "iM.data_ATAGACCAGGGCAGTT-1", "iM.data_AGGCCACAGGACCCAA-1", "iM.data_CACCAAACACGACGAA-1", "iM.data_GAGTGAGTCTCTCGCA-1", "iM.data_TACAACGTCAGGACGA-1", "iM.data_TACTTCAAGAGTGGCT-1", "iM.data_CGTCCATCATGGGCAA-1", "iM.data_CGGGCATAGAGTCCGA-1", "iM.data_GTAGAGGCAAAGGATT-1", "iM.data_CACCAAATCGTGTCAA-1", "iM.data_GTGCACGAGCGCGTTC-1", "iM.data_GCGTTTCAGTGACCTT-1", "iM.data_GGAATGGTCAGAGTGG-1", "iM.data_GCTTCACGTGAGCAGT-1", "iM.data_GGGCGTTTCGGCTTCT-1", "iM.data_AGGTCATTCCTATGGA-1", "iM.data_TCCTTTCTCCCTCTAG-1", "iM.data_CCTCAGTAGGATCATA-1", "iM.data_GTGTTAGTCACTACGA-1", "iM.data_TGAGCGCGTTGAGAGC-1", "iM.data_AATTCCTTCTAAGGAA-1", "iM.data_ATGGAGGGTCAACACT-1", "iM.data_ATCCATTAGGATTCCT-1", "iM.data_GATTCTTGTTGGGAAC-1", "iM.data_CCGGTAGCACTACCCT-1", "iM.data_CGGGTCACACCCTCTA-1", "iM.data_TCCGTGTCAAGCACCC-1", "iM.data_GTCACGGGTCCTGGTG-1", "iM.data_CGGAGAAGTGCTCTCT-1", "iM.data_TGCGATATCTCTATAC-1", "iM.data_GAGGGATTCTGAGCAT-1", "iM.data_TCGATTTCAAACCATC-1", "iM.data_TTCCTCTCACACAGAG-1", "iM.data_CGAGTGCGTACGTAGG-1", "iM.data_TCTTTGAGTTGCCTAA-1", "iM.data_CCCGAAGTCCACGAAT-1", "iM.data_AGGACTTAGTCTGGTT-1", "iM.data_GGCTTGGGTCGTGTTA-1", "iM.data_ATTGGGTGTCATTGCA-1", "iM.data_GTGGGAAGTTGGGACA-1", "iM.data_ATGAAAGCATATCTGG-1", "iM.data_AGGAGGTTCCATGAGT-1", "iM.data_CATCAAGTCTTAGGAC-1", "iM.data_GCGGATCAGCGGTAGT-1", "iM.data_AATGAAGCACGACTAT-1", "iM.data_GATTGGTGTGCTATTG-1", "iM.data_GGACGTCTCGCCTATC-1", "iM.data_TCTATCATCATCACTT-1", "iM.data_TTTCGATAGAGCTGCA-1", "iM.data_AAGACAACAACTGTGT-1", "iM.data_TGTCCACCACGTTGGC-1", "iM.data_AGCCAATTCGCTTGAA-1", "iM.data_CGTCCATAGCGGGTTA-1", "iM.data_AGCTACAAGCATCTTG-1", "iM.data_GGAGATGCAAGTGGAC-1", "iM.data_GCACATATCGATACAC-1", "iM.data_GCGTGCAGTACTTGTG-1", "iM.data_GGAGGTACAGACGATG-1", "iM.data_TTGGGATCAAGCTGCC-1", "iM.data_GTTCATTAGCTTAGTC-1", "iM.data_AAGGAATAGAGGGTAA-1", "iM.data_GCGAGAAGTCTTGCTC-1", "iM.data_GGGACTCCAGTCGCTG-1", "iM.data_GTTAGTGTCCGATTAG-1", "iM.data_CTGCAGGCAGCATGCC-1", "iM.data_CACGAATGTAGTCGGA-1", "iM.data_ATACCGATCAAATGAG-1", "iM.data_TACCTGCTCTTTGCAT-1", "iM.data_CTCCTCCTCAGGCGAA-1", "iM.data_AGAAGCGTCATGGAGG-1", "iM.data_CCAAGCGCAGCAGTTT-1", "iM.data_CTACAGAGTCTTAGTG-1", "iM.data_TTTCCTCCACTCAAGT-1", "iM.data_TTGCATTAGTCGTCTA-1", "iM.data_TGAGGAGTCAGAGTGG-1", "iM.data_ATCAGGTTCATTCACT-1", "iM.data_ACTTTGTAGGCAATGC-1", "iM.data_TCCGTGTTCGTTAGAC-1", "iM.data_ACCTGAACAAATTAGG-1", "iM.data_ACTTATCGTTAATCGC-1", "iM.data_GCTTTCGGTTAAGAAC-1", "iM.data_CGGGTCATCTACGCAA-1", "iM.data_TAATCTCAGCTCCACG-1", "iM.data_AGAAGCGAGTGCCTCG-1", "iM.data_GTGCGTGTCTTACACT-1", "iM.data_AGTCTCCGTGGACAGT-1", "iM.data_CACAGGCGTGGTGATG-1", "iM.data_TGGATCATCGTCACCT-1", "iM.data_GCTGCAGCATGCCGAC-1", "iM.data_ACATCGATCATGCTAG-1", "iM.data_GTCGAATCAACGGTAG-1", "iM.data_ACTATTCCAAAGAACT-1", "iM.data_ATGGTTGGTTCCGGTG-1", "iM.data_TCCATCGCAGCGACAA-1", "iM.data_CTTCCTTAGGTTCTTG-1", "iM.data_GTCATGACAAGTCATC-1", "iM.data_TCTTCCTGTTAGGAGC-1", "iM.data_TGGGATTCAAAGTGTA-1", "iM.data_GTAGAGGGTTTCCATT-1", "iM.data_GCTTGGGGTCCTGGTG-1", "iM.data_GCAACCGAGGATACCG-1", "iM.data_GAGTTACAGATAGCAT-1", "iM.data_ACTGTGAGTCATAGTC-1", "iM.data_ATGAAAGAGGCAGTCA-1", "iM.data_TGTCCCAGTCGGTGAA-1", "iM.data_TAAGCCACATACATCG-1", "iM.data_GGGTTTAAGGAGGGTG-1", "iM.data_CATTCTATCTTAGTTC-1", "iM.data_CTGTGAATCGTGGACC-1", "iM.data_CTGTGAAAGACTAGAT-1", "iM.data_CGTGATAGTGCGAACA-1", "iM.data_AAATGGAGTAGATTAG-1", "iM.data_GACCGTGAGTACCATC-1", "iM.data_AAGCGAGAGGTCACAG-1", "iM.data_CTCCCAATCGCTCTAC-1", "iM.data_TTGTTTGGTAGAGTTA-1", "iM.data_AGGCCACGTTCCCAAA-1", "iM.data_CGGGTGTAGAGGTTAT-1", "iM.data_GTGTGATGTCTACAAC-1", "iM.data_GTTCATTAGGGCAGAG-1", "iM.data_GTCATGAAGGCCTGCT-1", "iM.data_CTGCATCTCAAAGGTA-1", "iM.data_GTCGAATTCTGCTGAA-1", "iM.data_GTCTGTCCAAGAAACT-1", "iM.data_TGGGCGTAGACGTCCC-1", "iM.data_GTACAACTCCCAAGTA-1", "iM.data_TGTTCATGTCGCAGTC-1", "iM.data_TTTGATCCAAAGGAGA-1", "iM.data_CCCTAACCAGAGGGTT-1", "iM.data_GAACTGTGTGATGAAT-1", "iM.data_AGCTACACACAGGATG-1", "iM.data_GTTATGGCAACAAGAT-1", "iM.data_GCACTAAGTCTTCCGT-1", "iM.data_TCCGTGTCAACCGCTG-1", "iM.data_CTGTGGGGTAGTATAG-1", "iM.data_AAGCATCCATAATGAG-1", "iM.data_TCCAGAACACGCGTGT-1", "iM.data_CGGGTCAGTGTCATGT-1", "iM.data_AGTAGCTAGTAGCATA-1", "iM.data_CATAGACAGTACCGGA-1", "iM.data_CCTCCAACAATCACGT-1", "iM.data_TGAACGTTCTGAATGC-1", "iM.data_CAACAACAGGTAGGCT-1", "iM.data_GTTAGTGAGGCTAACG-1", "iM.data_AGAAGTATCGTGTTCC-1", "iM.data_TAGTGCACATCCAATG-1", "iM.data_GGCTGTGTCCATTTAC-1", "iM.data_AATGGAATCCACTTCG-1", "iM.data_TACAACGGTATCGCTA-1", "iM.data_CCTTCAGTCTGGGATT-1", "iM.data_AACACACGTCTAGTGT-1", "iM.data_TATCCTATCCCGTGAG-1", "iM.data_ACTTTGTAGTTCTCTT-1", "iM.data_AAGCATCTCCGACAGC-1", "iM.data_TAGCACATCCAGCTCT-1", "iM.data_TCTGGCTAGACTTGTC-1", "iM.data_CACTGGGAGTCTCTGA-1", "iM.data_ACGATGTAGCATGTTC-1", "iM.data_CGATGGCAGTGTTGTC-1", "iM.data_ATCGGATGTAACATAG-1", "iM.data_CTGTACCCACGCTGCA-1", "iM.data_GTCTGTCGTCAACCTA-1", "iM.data_CCACGAGGTAGCTGAG-1", "iM.data_TCACGGGTCGTACACA-1", "iM.data_AGTCACACAAACTCTG-1", "iM.data_TCTAACTTCTCATAGG-1", "iM.data_AGGGTCCAGAGAGTGA-1", "iM.data_TGAATGCGTCTGTAGT-1", "iM.data_TGGATCACAACGAGGT-1", "iM.data_AACGGGACAGCAGGAT-1", "iM.data_TTCATGTGTAGTAAGT-1", "iM.data_CAGATACTCGAGTACT-1", "iM.data_TGGTACAGTACTAGCT-1", "iM.data_AGATGCTGTTATGGTC-1", "iM.data_TGAGCATCAGGCATGA-1", "iM.data_CCCGAAGGTAGTGGCA-1", "iM.data_AACAAGAAGATCCCGC-1", "iM.data_CGATGGCTCTTCTGTA-1", "iM.data_TTTGGAGCATTCACCC-1", "iM.data_AGGGTGAAGGTGATCG-1", "iM.data_TTACGTTTCGTGCTCT-1", "iM.data_CGATGGCGTCCGGATC-1", "iM.data_CTTAGGAGTTGACGGA-1", "iM.data_GCGGATCAGGGCCTCT-1", "iM.data_CAACAGTTCTTGAGCA-1", "iM.data_CTATCTAGTGGCAACA-1", "iM.data_ACAGCCGTCATGCCGG-1", "iM.data_TCATTACTCAAGCCGC-1", "iM.data_AAAGGGCGTGTCGATT-1", "iM.data_GAGTTGTCACATACTG-1", "iM.data_CCTAAGACAATCGAAA-1", "iM.data_ATAGACCAGAGTGTTA-1", "iM.data_GCACGGTCAGTAACCT-1", "iM.data_GAATCGTCAGTTTCAG-1", "iM.data_CATTCTAAGTCATCCA-1", "iM.data_AGTGATCAGCCTTGAT-1", "iM.data_ATTCAGGTCCTTCGAC-1", "iM.data_ATCCGTCTCAACTGAC-1", "iM.data_TGCAGATCATCGTGCG-1", "iM.data_ACATCCCGTGCGTTTA-1", "iM.data_AATGGAAAGCGTTGTT-1", "iM.data_ATTCCTATCGTGTCAA-1", "iM.data_GTGACGCAGACATAAC-1", "iM.data_TCGGGCAAGACGGAAA-1", "iM.data_TTGGTTTTCTAGGAAA-1", "iM.data_ACAACCAAGTAACAGT-1", "iM.data_ATAGAGAGTCCAGCAC-1", "iM.data_AACCTGATCACCGACG-1", "iM.data_CATCGGGTCAACTACG-1", "iM.data_GCATGATCAATAACGA-1", "iM.data_AACAGGGAGATTCGAA-1", "iM.data_CCGTTCATCGTAGCTA-1", "iM.data_GAGAAATTCTCAGAAC-1", "iM.data_GAGATGGTCCTGGGTG-1", "iM.data_TATTGGGTCATCAGTG-1", "iM.data_CTCAATTCAACTTCTT-1", "iM.data_GGGTTATTCCCAACTC-1", "iM.data_TTCGGTCGTCCCACGA-1", "iM.data_CTCAATTCACAAATAG-1", "iM.data_GAGTCTAAGCGAATGC-1", "iM.data_CTGCTCACACGTCTCT-1", "iM.data_CTCATTATCGAGCACC-1", "iM.data_AAGCCATGTGGATGAC-1", "iM.data_TATTCCAGTCTACGAT-1", "iM.data_GACATCAAGGCTCTCG-1", "iM.data_ACTTAGGGTATTTCCT-1", "iM.data_TTCAATCGTCTCGGAC-1", "iM.data_CATGGTATCATGCAGT-1", "iM.data_TGTGTGATCTCATTAC-1", "iM.data_AGCGCCACAGTTAGAA-1", "iM.data_TCTCCGATCTGAATCG-1", "iM.data_GCGAGAAAGCACAAAT-1", "iM.data_GAGGCAAGTAATCAAG-1", "iM.data_GGTGTCGGTTTCGTGA-1", "iM.data_TCCCACAGTCGATTTG-1", "iM.data_AAAGTGACATCCGAAT-1", "iM.data_GGGCTACTCAAGTCTG-1", "iM.data_GTACAGTGTGGCTGAA-1", "iM.data_CTATCTATCTGGCCGA-1", "iM.data_GTTTGGATCTTGCGCT-1", "iM.data_CCACCATCAAATTGCC-1", "iM.data_AGGGTCCAGCCTTTGA-1", "iM.data_TCGTGGGTCAGAATAG-1", "iM.data_CCGTGAGTCTGCCTGT-1", "iM.data_ACTGCAAGTGGTCCCA-1", "iM.data_AGCCAATCAGTAGATA-1", "iM.data_CAATTTCTCGATTGGT-1", "iM.data_AGTCACACAGCTACTA-1", "iM.data_TTCCGGTGTATGGTAA-1", "iM.data_TGCGGCACATCATTTC-1", "iM.data_ACAACCATCGGATAAA-1", "iM.data_ATAGACCCAGGTCAAG-1", "iM.data_CTGCGAGCACCTGCGA-1", "iM.data_ATGGGTTCAAAGTGTA-1", "iM.data_TACGTCCAGATGGCAC-1", "iM.data_CGAAGTTAGTAAACGT-1", "iM.data_TTCTCTCTCTGCGTCT-1", "iM.data_TCATTCAGTCGCTTAA-1", "iM.data_CCACGTTGTTGGTAGG-1", "iM.data_TGCACGGGTTCAACGT-1", "iM.data_TGCACGGTCGCAATTG-1", "iM.data_TAGAGTCGTCATCGCG-1", "iM.data_ACGTCCTGTGCATCTA-1", "iM.data_GATTCTTTCGTGGCGT-1", "iM.data_AGCTCAAGTCGCTTGG-1", "iM.data_GAGTTGTGTGGAGGTT-1", "iM.data_TCGGTCTCAGCACCCA-1", "iM.data_AGAACAAAGGCATCGA-1", "iM.data_CCTCCAAGTACTTCCC-1", "iM.data_GAGAGGTGTCTGTCCT-1", "iM.data_TCGTCCAGTATGTGTC-1", "iM.data_GTCATCCAGTCATCGT-1", "iM.data_TTTACGTCATGAATCC-1", "iM.data_AAAGTGACACACCAGC-1", "iM.data_TACTTACAGCCGCTTG-1", "iM.data_TTTGTTGTCTTGATTC-1", "iM.data_GCACGGTAGGCATCTT-1", "iM.data_GTCGAATAGTAGACAT-1", "iM.data_CGTGAATTCAGTCACA-1", "iM.data_AAAGAACAGCGGGTAT-1", "iM.data_TCATGCCCACTGTGAT-1", "iM.data_CATTTCACATACTTTC-1", "iM.data_ATGAAAGCACTTACAG-1", "iM.data_ACCATTTGTTAATGAG-1", "iM.data_AGCATCAAGAATAGTC-1", "iM.data_ACAGAAAAGTCACGCC-1", "iM.data_TTTCAGTGTCTTAGTG-1", "iM.data_TAAGCGTCACATACGT-1", "iM.data_CGTAATGTCATCCTAT-1", "iM.data_TGCTTCGAGCACTCGC-1", "iM.data_AAACGAATCCTGCCAT-1", "iM.data_TGCGACGCACACGTGC-1", "iM.data_GATAGAACATTCTCTA-1", "iM.data_TACAACGTCGATGCTA-1", "iM.data_CAATTTCCAGACACAG-1", "iM.data_CAAGCTAGTATCAGGG-1", "iM.data_TCCAGAAAGTAGGTTA-1", "iM.data_TCATGAGGTAGCGTCC-1", "iM.data_AGTTCGAGTTGCGGCT-1", "iM.data_TGCGGGTGTACGGTTT-1", "iM.data_CTCAGTCGTTAGAAAC-1", "iM.data_CTGGACGGTCGTCGGT-1", "iM.data_CCCTTAGTCGAACCTA-1", "iM.data_TACAGGTGTCGAGATG-1", "iM.data_TCACATTTCTGATTCT-1", "iM.data_CACTGTCTCGGAACTT-1", "iM.data_TCAGGTATCAATCGGT-1", "iM.data_CATTGTTGTGCCCACA-1", "iM.data_AGCCAATAGAGTCCGA-1", "iM.data_TAAGCACCATTGTACG-1", "iM.data_TCTAACTAGGCCCACT-1", "iM.data_AAGTGAAAGGCACGAT-1", "iM.data_GTCTAGAAGGCTCAAG-1", "iM.data_TCTTCCTCAAGACGGT-1", "iM.data_CCCGGAACAACAAGAT-1", "iM.data_GCGGAAAAGAAAGCGA-1", "iM.data_TCATACTTCCCATGGG-1", "iM.data_TGTCCACTCTACTTCA-1", "iM.data_GACTCTCAGCCGATAG-1", "iM.data_TGCTCGTCAATTGGTC-1", "iM.data_GTACAGTGTTGCGAAG-1", "iM.data_AGCCAATCACTTGGCG-1", "iM.data_CAAGACTGTCTGTGTA-1", "iM.data_ACTTCGCTCCTAGCCT-1", "iM.data_TGATTCTTCGGCTATA-1", "iM.data_TCTTTGACAACGAGGT-1", "iM.data_ACCTACCTCGCTGACG-1", "iM.data_TTTCACACATAATGAG-1", "iM.data_GGTCACGGTGCCTTCT-1", "iM.data_GGTTAACTCAAGAGGC-1", "iM.data_TCATGTTCAAGAAATC-1", "iM.data_CTCATTACACTTGAAC-1", "iM.data_TCGGATATCCCTTTGG-1", "iM.data_TCAGCAAGTCAGTCCG-1", "iM.data_CGGCAGTCACTGAGGA-1", "iM.data_GACCCTTCACAACCGC-1", "iM.data_GGAGCAATCCATTGGA-1", "iM.data_TACCTCGGTCTGTGTA-1", "iM.data_AACAACCTCTGTGTGA-1", "iM.data_TCCTTTCTCGAGTCTA-1", "iM.data_TAATCTCTCCACAGGC-1", "iM.data_TGCGATATCCTCTCGA-1", "iM.data_AAGTCGTCATTCAGCA-1", "iM.data_AGTAGCTGTATTTCCT-1", "iM.data_TGTAACGGTCATTCCC-1", "iM.data_GAATCGTTCCTCTAAT-1", "iM.data_CACAACATCTTAGCTT-1", "iM.data_CTAACCCCACGACGAA-1", "iM.data_AGAGAGCCATACAGGG-1", "iM.data_TGCTTGCTCCCAAGTA-1", "iM.data_GATTCTTTCACCTTGC-1", "iM.data_GCACGGTCACCTTCGT-1", "iM.data_TTGAACGGTGCACGCT-1", "iM.data_TGAATGCAGCTCCCTT-1", "iM.data_TTGATGGCAGCACGAA-1", "iM.data_GACAGCCCACTGATTG-1", "iM.data_TTAGGCATCCATTGGA-1", "iM.data_CACTGAAGTATCATGC-1", "iM.data_CGATCGGAGTATGATG-1", "iM.data_TGATTTCGTTTGGCTA-1", "iM.data_ACTATGGAGCCACCGT-1", "iM.data_CACTGGGAGCCTGTGC-1", "iM.data_CCCGGAAAGCACCGAA-1", "iM.data_ACCTGTCTCGTGTGAT-1", "iM.data_AGGTGTTAGACCATAA-1", "iM.data_GCCAACGCAGTGACCC-1", "iM.data_AGGATAACAGGTTTAC-1", "iM.data_CGGACACTCCCATTTA-1", "iM.data_GTAGTACAGGGTCACA-1", "iM.data_CCTTCAGTCGCAATGT-1", "iM.data_CAATCGAAGGTACAGC-1", "iM.data_AACGTCAAGTCATCGT-1", "iM.data_GGTGTCGTCAACTGGT-1", "iM.data_ATCACAGGTGGCCTCA-1", "iM.data_ATTTCTGCAGCAGTCC-1", "iM.data_CAGTGCGCACCAGCCA-1", "iM.data_CTTGATTTCTAGACAC-1", "iM.data_TGAGTCACAAGTGGGT-1", "iM.data_TTTCGATAGTCATAGA-1", "iM.data_TCAAGCACACCTTCGT-1", "iM.data_TACTTACGTGCACATT-1", "iM.data_TTACCGCCAGTGAGCA-1", "iM.data_GGTAGAGTCCCGTGTT-1", "iM.data_TCGACCTCATTAGGAA-1", "iM.data_AAACGCTCAAATTAGG-1", "iM.data_AACGTCAAGACAACTA-1", "iM.data_GGGAGATGTTTAGAGA-1", "iM.data_ACACCAAGTCATCTAG-1", "iM.data_AGCGTATAGAGTCTGG-1", "iM.data_GTTGCTCTCTATTGTC-1", "iM.data_TCCTAATCAATTCTCT-1", "iM.data_AGATGCTGTCTGTCCT-1", "iM.data_CCGGACAGTCCACACG-1", "iM.data_GGTAATCCAGGAAGTC-1", "iM.data_GTTTGGAAGCATGCGA-1", "iM.data_GTTGAACAGGCACAAC-1", "iM.data_TCGTCCAGTACTCGCG-1", "iM.data_AAATGGATCGCTCTAC-1", "iM.data_CACTGAAAGCTCATAC-1", "iM.data_GAAATGATCAGGTGTT-1", "iM.data_CCTCAACGTAGTCCTA-1", "iM.data_TGTGAGTAGTCGCTAT-1", "iM.data_TATCTGTCAAGCCCAC-1", "iM.data_GTGGCGTCAGCAAGAC-1", "iM.data_TCGGGTGAGCGACTTT-1", "iM.data_GTAAGTCAGTTGTAGA-1", "iM.data_AGAGCAGTCTGCGATA-1", "iM.data_CTTCTAAAGGTCTGGA-1", "iM.data_AACCTTTGTTATCTTC-1", "iM.data_AACACACAGCGTTCCG-1", "iM.data_ACTGATGAGGTCTGGA-1", "iM.data_TACCTGCGTGCATGAG-1", "iM.data_GGTGAAGTCGGAGTAG-1", "iM.data_CTACTATTCCTTATAC-1", "iM.data_GGGCTACGTCTCGGAC-1", "iM.data_AGGAATAGTCTGTCAA-1", "iM.data_CTCCCTCTCTCCCTAG-1", "iM.data_GAGGCCTAGCTAAGTA-1", "iM.data_AGACCCGAGCGCCCAT-1", "iM.data_AGAACAACATGACGGA-1", "iM.data_GGGCCATGTCGTATTG-1", "iM.data_GGGACTCTCCGTGGGT-1", "iM.data_TCTGGCTTCAACGTGT-1", "iM.data_TAGGGTTCACAGACGA-1", "iM.data_TAACACGGTGATACTC-1", "iM.data_CCTCAGTGTCACAATC-1", "iM.data_TCGGGACGTTACCTTT-1", "iM.data_TTCAGGACACTATCGA-1", "iM.data_AATCGTGGTGCATGAG-1", "iM.data_CGCCATTTCTGCCTGT-1", "iM.data_TGCACGGTCCGTGACG-1", "iM.data_ATTGGGTCAGAGCTAG-1", "iM.data_GGTGGCTTCCCTATTA-1", "iM.data_AGGTCTAGTGCTCTCT-1", "iM.data_GACGCTGTCGTCTAAG-1", "iM.data_TGGATGTCACGTACTA-1", "iM.data_AGCGTATAGTCGAAAT-1", "iM.data_ATTGGGTAGCTTAGTC-1", "iM.data_AGTCAACGTCCAAAGG-1", "iM.data_ATGAAAGGTTGGGTTT-1", "iM.data_TGACTCCAGGCAGGTT-1", "iM.data_CTCAAGATCTTACGTT-1", "iM.data_AGATGCTGTTAGGGTG-1", "iM.data_ATCGCCTAGCCATGCC-1", "iM.data_CAGCCAGCAAGCAATA-1", "iM.data_ACAGGGACAGCTGTCG-1", "iM.data_GCGAGAACAGTCGCAC-1", "iM.data_TCAAGCACAACAAGAT-1", "iM.data_CCGTTCACAAACCACT-1", "iM.data_TGGAGAGGTTAAGACA-1", "iM.data_TTTACCACACGACCTG-1", "iM.data_CAACCAAGTCCCGGTA-1", "iM.data_TTTGGAGAGTCCTGTA-1", "iM.data_CCCTGATCAAGTGCTT-1", "iM.data_AAAGGATTCATCACTT-1", "iM.data_ACGTCCTCACGTGTGC-1", "iM.data_GTCACGGGTATTAAGG-1", "iM.data_CAACCTCGTTTCTTAC-1", "iM.data_ATGATCGCAGTGGCTC-1", "iM.data_ATTCTTGGTCGCTTAA-1", "iM.data_CGAAGTTGTCGCCACA-1", "iM.data_AAATGGACAGTGTACT-1", "iM.data_TGATTTCGTCGGTAAG-1", "iM.data_CAGCACGTCTTCTTCC-1", "iM.data_CGTTAGACAAGCTCTA-1", "iM.data_TTCAGGAGTGCTAGCC-1", "iM.data_TCATCCGCATCGATGT-1", "iM.data_CCGGTGATCGAGATGG-1", "iM.data_AAAGGGCAGGTTACAA-1", "iM.data_TCATGGAGTTAATCGC-1", "iM.data_AAATGGATCATGCTAG-1", "iM.data_GTACAGTCAACTGCTA-1", "iM.data_TGCATCCGTGGGTCAA-1", "iM.data_CTACTATCAACGATTC-1", "iM.data_GTAGAGGAGGTGGTTG-1", "iM.data_GCACGTGGTTCGGACC-1", "iM.data_TAAGTCGGTCTTGCTC-1", "iM.data_TTCCTCTCAGGTAGTG-1", "iM.data_ACTGCAAGTCCGGACT-1", "iM.data_TGTTTGTAGACAGCTG-1", "iM.data_TTACCATCAGAACCGA-1", "iM.data_CGGGTCAAGAGAGGGC-1", "iM.data_GTCAAACCAGGTCAAG-1", "iM.data_CTCCGATAGCGAGTCA-1", "iM.data_GATTGGTCAGGAGGTT-1", "iM.data_GCATTAGTCCGTGTCT-1", "iM.data_TGAGGTTCACAAATAG-1", "iM.data_CTAGACATCGGTAGAG-1", "iM.data_GATTGGTAGGCGTCCT-1", "iM.data_GTCTTTAGTGTAGGAC-1", "iM.data_AGAACAAGTTTGTGGT-1", "iM.data_GTCATCCCAGATACTC-1", "iM.data_AGGAGGTGTATGAGCG-1", "iM.data_CCTTTGGGTGTGAATA-1", "iM.data_CCTAAGACACGTAGAG-1", "iM.data_TCAGTTTCAGAATTCC-1", "iM.data_AGCGCCAAGAAGCCAC-1", "iM.data_TTTGACTAGGGTTAAT-1", "iM.data_AAAGAACAGAGAGCCT-1", "iM.data_ATTCTTGAGGATGTTA-1", "iM.data_GAGTGTTTCCGCGATG-1", "iM.data_GGGACAACAAGTGCAG-1", "iM.data_ACTGATGCAATAACCC-1", "iM.data_ACACCAATCTTACACT-1", "iM.data_CGATGGCTCGTACCTC-1", "iM.data_GGGTCACAGGGCGAGA-1", "iM.data_TCATTGTCATAGAATG-1", "iM.data_CTCCATGTCAGACATC-1", "iM.data_CGGAGAAAGCGATTCT-1", "iM.data_TCATTTGCAAACTCGT-1", "iM.data_GTAGGAGAGTACCATC-1", "iM.data_CACATGACACGCGCTA-1", "iM.data_AAGACAACACATGGTT-1", "iM.data_AGAAGTATCCCATTTA-1", "iM.data_GAAGCGATCGACGTCG-1", "iM.data_ACGATCATCAACCTTT-1", "iM.data_AGCGATTGTCGAATGG-1", "iM.data_TGTCAGAAGCGACTAG-1", "iM.data_TCAGCAACAGAGTGAC-1", "iM.data_ACCTGAATCTGGAGAG-1", "iM.data_TGTGATGCAGGTGGAT-1", "iM.data_TCGACGGTCAGGCGAA-1", "iM.data_TGGGCGTTCTTACGTT-1", "iM.data_GTCGTAACATCACGGC-1", "iM.data_CGTCAAATCCTCCACA-1", "iM.data_GTCCTCAGTGATACAA-1", "iM.data_GAAGGACAGTCAGGGT-1", "iM.data_GCATCGGGTTGCGGAA-1", "iM.data_CCTCTCCTCAGCTGAT-1", "iM.data_GGGTTATCATGTGCTA-1", "iM.data_TTTATGCCAAGACCTT-1", "iM.data_TCGGATATCTCGGCTT-1", "iM.data_CGTCCATGTTAGTCGT-1", "iM.data_TCACACCTCTCGACCT-1", "iM.data_TACCTCGGTTCAAAGA-1", "iM.data_CCACGTTGTCTGTGGC-1", "iM.data_TCTTTGACAGCATGCC-1", "iM.data_TTCCTCTTCATTATCC-1", "iM.data_TTCGATTGTTATTCTC-1", "iM.data_GCTACCTAGAGAGAAC-1", "iM.data_CAACAACAGATAACAC-1", "iM.data_TAGTGCACATAACAGA-1", "iM.data_GGAACCCGTATCTTCT-1", "iM.data_ATTGGGTAGAGGTCAC-1", "iM.data_CAACGATTCGCCTCTA-1", "iM.data_CAGTTAGGTCGGTGTC-1", "iM.data_CCGGACACAACCAATC-1", "iM.data_TGGTAGTCAATGGGTG-1", "iM.data_GTGGGAAGTCATCGCG-1", "iM.data_TGAGGAGGTGAGTTTC-1", "iM.data_CAACCTCTCAACGTGT-1", "iM.data_GGTAATCAGTCAAGCG-1", "iM.data_GGCAGTCAGGTGCTGA-1", "iM.data_CAGCAGCTCCATTCGC-1", "iM.data_CCTCCTCTCCTAGAGT-1", "iM.data_TTTGACTAGTGTTCCA-1", "iM.data_GGGAGATCAGGCCTGT-1", "iM.data_GCCTGTTAGTGGTTCT-1", "iM.data_AGGGCTCAGTCATAGA-1", "iM.data_ATTCCCGAGAGGGTCT-1", "iM.data_CCTCATGTCTATTCGT-1", "iM.data_CCTCACAGTCGTTGCG-1", "iM.data_GTATTGGTCACCGGGT-1", "iM.data_TCTAACTGTACTAAGA-1", "iM.data_AGGGTCCCAGGAGGTT-1", "iM.data_TATCAGGCAACCGGAA-1", "iM.data_GGAATGGAGGAAGTCC-1", "iM.data_ATGAGTCGTGCCGGTT-1", "iM.data_ATTCCCGCACCAGTAT-1", "iM.data_AACACACTCGGCTTCT-1", "iM.data_CATTGAGCAGGTTTAC-1", "iM.data_CACGGGTGTAGCGTCC-1", "iM.data_CACTGGGAGACATATG-1", "iM.data_GATCACAAGGCGTTGA-1", "iM.data_GTCCACTTCCTAACAG-1", "iM.data_AGTCACACAACAAGAT-1", "iM.data_TCGGGTGCAGTAACGG-1", "iM.data_GATGATCCATGTGGCC-1", "iM.data_ACGGGTCCATATAGCC-1", "iM.data_TCGCACTGTATCGTTG-1", "iM.data_CTTCGGTAGCCTGACC-1", "iM.data_AGGTTACTCAAACGAA-1", "iM.data_ACACCAATCCGGACGT-1", "iM.data_TTGCCTGCAATAGAGT-1", "iM.data_CATGGATCAGCTCATA-1", "iM.data_GTTACGAGTCTCCTGT-1", "iM.data_CTCATCGTCTGGCTGG-1", "iM.data_CGAGGAATCGCATAGT-1", "iM.data_TCGTCCAAGTTGCATC-1", "iM.data_TTCATTGTCGACACTA-1", "iM.data_GGTGGCTCATCGAACT-1", "iM.data_AGATCGTCAGGACTAG-1", "iM.data_CAGCCAGGTGAACGGT-1", "iM.data_TCAGTTTCAGAGGACT-1", "iM.data_GAGCCTGCAGGACATG-1", "iM.data_GCATCTCAGCAGTAAT-1", "iM.data_TCAAGTGGTATCACCA-1", "iM.data_TTTACCAGTCTGCATA-1", "iM.data_AAGACAAGTAGACGTG-1", "iM.data_GCATGATGTAGCGTCC-1", "iM.data_CCCTAACCAGTGTACT-1", "iM.data_AGCCAATTCCGTAGTA-1", "iM.data_AATTTCCTCTTGAGCA-1", "iM.data_TGTAAGCTCTCAACCC-1", "iM.data_TCCTCTTAGGCCGCTT-1", "iM.data_CGGGTCAGTCAGGTAG-1", "iM.data_TCTGTCGGTAACAGTA-1", "iM.data_GGGACTCTCGGCCAAC-1", "iM.data_GTTGTGACACCAGTTA-1", "iM.data_CGCATGGAGACTTCCA-1", "iM.data_CAGATACTCCGGACTG-1", "iM.data_TAGCACAAGTGATTCC-1", "iM.data_GCAGTTACAACTACGT-1", "iM.data_TAAGTCGAGCGTTAGG-1", "iM.data_TAACCAGCAGAGCTAG-1", "iM.data_GCGTTTCAGGAACATT-1", "iM.data_TTCAGGACAATGCAGG-1", "iM.data_TCTGTCGAGACTGGGT-1", "iM.data_ACGGGTCCAATTCTTC-1", "iM.data_ACGTAGTTCTGCATAG-1", "iM.data_GTCATCCAGTTGCTGT-1", "iM.data_CAGTTAGAGAGTCAGC-1", "iM.data_ACTTTGTAGTCTGGTT-1", "iM.data_TAAGCACAGTGATAAC-1", "iM.data_AGACACTCATGTCAGT-1", "iM.data_ACTTTCAAGGAAGTGA-1", "iM.data_TAGTGCAAGGGTAATT-1", "iM.data_TGCAGTATCTCGGGAC-1", "iM.data_TCCGAAAAGTGCGCTC-1", "iM.data_AGTAGTCGTCGCACGT-1", "iM.data_TTCCTCTCAACACAAA-1", "iM.data_ATCCATTCAGATCATC-1", "iM.data_TGAGACTGTGAACGGT-1", "iM.data_TGATTTCCAGCCCACA-1", "iM.data_TAGACCAAGATGCTGG-1", "iM.data_GTTAGTGAGCACTCCG-1", "iM.data_CGCATAATCTGGTGGC-1", "iM.data_CGAGTTAAGGAACATT-1", "iM.data_CGAGTTAAGCCAACCC-1", "iM.data_CAAGGGAAGCCTTCTC-1", "iM.data_GCGTTTCAGATTGATG-1", "iM.data_CAACGATGTGTAGCAG-1", "iM.data_CGAGAAGAGGCCTTCG-1", "iM.data_CTGCGAGTCCGTAGGC-1", "iM.data_TGCTGAACACTTGGCG-1", "iM.data_TCTGTCGCAAGATTGA-1", "iM.data_AACCCAACATACCATG-1", "iM.data_ATCGTCCGTGTCATCA-1", "iM.data_TGCACGGTCACTGGTA-1", "iM.data_CACCAAAGTAATGCTC-1", "iM.data_CGGGTGTCACGACAAG-1", "iM.data_GGGTAGATCTGAGTCA-1", "iM.data_CTAAGTGAGGTCGACA-1", "iM.data_CCAATTTTCGCCAACG-1", "iM.data_GGAATGGCAACACAGG-1", "iM.data_CATCGTCAGGTGTGAC-1", "iM.data_TTGGGCGTCGGCTTGG-1", "iM.data_AGGTAGGAGTGTCATC-1", "iM.data_AGTAACCCACGTACAT-1", "iM.data_GAAGGGTGTGAGGCAT-1", "iM.data_GTAGGTTTCATACGAC-1", "iM.data_ATGGAGGCACTCACTC-1", "iM.data_CATACCCGTATTGACC-1", "iM.data_TCAAGACCAGAAGCGT-1", "iM.data_TCCGGGATCTCACGAA-1", "iM.data_AGAGCCCAGGCGAACT-1", "iM.data_AGGAGGTGTGTTTCTT-1", "iM.data_ACGTCCTTCTTGGGCG-1", "iM.data_CGCCATTTCACTGTTT-1", "iM.data_ATACCTTTCTGTAAGC-1", "iM.data_TTTATGCCAAAGGGCT-1", "iM.data_TCCGGGAGTAGTGCGA-1", "iM.data_GAGACCCAGCGATGAC-1", "iM.data_TAACACGGTAGTCTGT-1", "iM.data_GTGGTTATCGGACTGC-1", "iM.data_AACAAGAAGTATGCAA-1", "iM.data_TATTGGGTCCGGCAAC-1", "iM.data_TCAGCAATCAACCCGG-1", "iM.data_CCGGACAAGAAAGTCT-1", "iM.data_AGCGATTAGGCTTAGG-1", "iM.data_CACAGGCGTTCCCAAA-1", "iM.data_GCGTTTCTCAAGTCTG-1", "iM.data_TATTGGGGTATGTGTC-1", "iM.data_ATTTCACGTAGACTGG-1", "iM.data_CAGATTGGTTGATGTC-1", "iM.data_GAGTTTGGTTGCCGCA-1", "iM.data_TGTCCACTCGAGATGG-1", "iM.data_TCTACATGTTCCTAGA-1", "iM.data_GATCGTAGTTCCATTT-1", "iM.data_AACCTGAAGCTGGCCT-1", "iM.data_CCCTCAAAGTCTCGTA-1", "iM.data_TGTTGGAGTACAGTAA-1", "iM.data_ATGGGTTGTTGCCAAT-1", "iM.data_AGTCTCCAGTTCTACG-1", "iM.data_AAGTACCGTCCAGCCA-1", "iM.data_GTAACACGTACGCTAT-1", "iM.data_GTTGAACAGAGAGTTT-1", "iM.data_ACTTCGCGTCACCACG-1", "iM.data_AACAAGAGTATCCTTT-1", "iM.data_ATGTCTTTCATTTGGG-1", "iM.data_CTCATGCGTAGGACTG-1", "iM.data_TTCTTGATCAAGTGGG-1", "iM.data_CTCTCAGCATAGGAGC-1", "iM.data_TTATTGCGTTCCGGTG-1", "iM.data_GTGCTTCTCTCGCCTA-1", "iM.data_GAAGGACCAGGACGAT-1", "iM.data_TTGACCCCATACGCAT-1", "iM.data_GTGAGCCTCTTCCCAG-1", "iM.data_ATGTCCCTCCGAAATC-1", "iM.data_CCTACGTTCTCTGAGA-1", "iM.data_CATACCCGTTCTAACG-1", "iM.data_AAGACAAGTACCCAGC-1", "iM.data_GCAGCTGTCGTTCAGA-1", "iM.data_GTGTTAGCACAGTCGC-1", "iM.data_ATTCATCCACACTGGC-1", "iM.data_CAACGATAGTCGCGAA-1", "iM.data_CACGGGTGTGCTGCAC-1", "iM.data_ATCGATGTCCGGCAAC-1", "iM.data_ATGACCATCACTGCTC-1", "iM.data_GAACGTTCAGTCGGTC-1", "iM.data_GTGTGATTCCTCAGAA-1", "iM.data_TCATGCCCAATGACCT-1", "iM.data_TGAGGGATCCATACTT-1", "iM.data_ATACCTTAGTGGCAGT-1", "iM.data_GGTAACTGTGAAGCTG-1", "iM.data_TAACACGCACATCCCT-1", "iM.data_CGAAGGAGTGATACAA-1", "iM.data_AGACCATGTTTCGACA-1", "iM.data_TCAAGCAAGGCTCCCA-1", "iM.data_GTTTGGACATTGCTGA-1", "iM.data_GCATGATCAGTCAGAG-1", "iM.data_GAGATGGTCGAGTCCG-1", "iM.data_GGACGTCTCTGCCCTA-1", "iM.data_CATCGGGTCTGCATGA-1", "iM.data_ATCGGATTCTATGCCC-1", "iM.data_TCTACATGTTCGGACC-1", "iM.data_AGCCACGAGGGAGATA-1", "iM.data_TACTTGTAGTGTCATC-1", "iM.data_CATGGTAGTCCTCAGG-1", "iM.data_GGGTCTGAGAAGCCAC-1", "iM.data_TCTTTGACAGAGGACT-1", "iM.data_TTTCCTCGTGGCGTAA-1", "iM.data_TAAGTCGCAAGATGTA-1", "iM.data_CTCCATGTCGGTCGAC-1", "iM.data_TATCTGTAGCTGCCTG-1", "iM.data_TGTAGACTCTGCATAG-1", "iM.data_TCCCATGGTCGGCCTA-1", "iM.data_GCAACATCAAGATGGC-1", "iM.data_TCGAAGTCAGAGATGC-1", "iM.data_ATAGGCTTCGAAGCAG-1", "iM.data_TCCTCGATCTCTTCAA-1", "iM.data_TTGCTGCTCGTTCCTG-1", "iM.data_TTCGATTCAGTCTACA-1", "iM.data_AGGATCTGTAGCGTTT-1", "iM.data_CGAGGCTTCGACATTG-1", "iM.data_TCCTTTCGTAGTTCCA-1", "iM.data_TCTTCCTAGTCTGCGC-1", "iM.data_GTGAGCCAGCACCTGC-1", "iM.data_AATTCCTGTAAGTCAA-1", "iM.data_CTCCTCCCAAACTCGT-1", "iM.data_ATTCCTACACAAGCAG-1", "iM.data_CTCTCGACATATCTGG-1", "iM.data_CAAGGGAAGTAGTCTC-1", "iM.data_GTTAGACTCGCCTTTG-1", "iM.data_CGTAAGTAGTTCCATG-1", "iM.data_AAGACAATCGATGCTA-1", "iM.data_GATGATCAGACTAGAT-1", "iM.data_CTCGAGGTCGACACTA-1", "iM.data_TCTTAGTTCTAGTTCT-1", "iM.data_CACTAAGGTCACTGAT-1", "iM.data_GTCTAGAAGTTGTCGT-1", "iM.data_TTGCATTGTGAAAGTT-1", "iM.data_TTTGTTGGTGAATTGA-1", "iM.data_AGACACTGTTTGTTGG-1", "iM.data_CTCAGAATCAAGGACG-1", "iM.data_AGACACTTCGTTAGTG-1", "iM.data_GTAAGTCTCTCTTCAA-1", "iM.data_TACGTCCCAACTAGAA-1", "iM.data_TGGAACTTCCTTCTAA-1", "iM.data_CAGATTGCAGCTGTAT-1", "iM.data_TCAATCTTCAAGTGTC-1", "iM.data_TCGTCCAGTTGCAAGG-1", "iM.data_GTCCTCACACAATTCG-1", "iM.data_CAGCCAGAGACTCATC-1", "iM.data_GAGTTACCATCAGTGT-1", "iM.data_AGCGCCATCCGTGTGG-1", "iM.data_CCGAACGAGTTTGTCG-1", "iM.data_GCATTAGTCTATTCGT-1", "iM.data_TGTGATGCAGTAGTTC-1", "iM.data_TACGCTCGTACGTGAG-1", "iM.data_TGTGTGACAAGTTTGC-1", "iM.data_AGGCTGCTCGCGCCAA-1", "iM.data_ATCTTCAGTAGGCAAC-1", "iM.data_CCTAAGAAGTCTCTGA-1", "iM.data_TCACGCTGTCGTACAT-1", "iM.data_AGACACTCAATTGCCA-1", "iM.data_AGTCATGTCTATGTGG-1", "iM.data_CGAAGGAGTCTGCCTT-1", "iM.data_CGCAGGTCACAAGTGG-1", "iM.data_TATCTTGGTGCTCTTC-1", "iM.data_CCGATCTGTTCGTACA-1", "iM.data_TAGCACATCACGATCA-1", "iM.data_CTGCCATGTGGATACG-1", "iM.data_ACCATTTTCGTCCATC-1", "iM.data_TCCGTGTTCATTGCGA-1", "iM.data_AGGTCTACAAATCAGA-1", "iM.data_AGGCTGCTCACGATAC-1", "iM.data_AGCGCCAAGTGCTCAT-1", "iM.data_TTCGCTGCAGGCAATG-1", "iM.data_TAGGGTTTCGACATCA-1", "iM.data_TTGCGTCTCATCCCGT-1", "iM.data_AGTACCATCGCCTTTG-1", "iM.data_AGATAGACAGCCTACG-1", "iM.data_GATTCGACAAGTAGTA-1", "iM.data_AGAACCTGTTTAGTCG-1", "iM.data_TGCATGAGTAGTATAG-1", "iM.data_CATTCATAGATGTAGT-1", "iM.data_GCAGCTGAGTCACTGT-1", "iM.data_ATTCTACTCGCTGACG-1", "iM.data_GGTGTCGGTCTTTCAT-1", "iM.data_AACAAGAAGCTGTCCG-1", "iM.data_AGGCCACAGATGATTG-1", "iM.data_ACTTAGGAGCGTTACT-1", "iM.data_TGTTCTATCGACATAC-1", "iM.data_TCATTCATCTTACCGC-1", "iM.data_TAGGTTGAGTACCCTA-1", "iM.data_TATCAGGTCATGCCCT-1", "iM.data_CATACAGGTCGCAGTC-1", "iM.data_ATCATTCGTGGGTTGA-1", "iM.data_CTTACCGCACCTTCGT-1", "iM.data_ACTTATCCACAAGTTC-1", "iM.data_TACAGGTCAGGAGACT-1", "iM.data_AGGATCTCAAGGCAAC-1", "iM.data_CATGGATTCGGTCATA-1", "iM.data_GTTACGACATGCTGCG-1", "iM.data_TGTGCGGGTCAGACGA-1", "iM.data_CCCTAACTCATCACAG-1", "iM.data_TATTCCACAAGTTTGC-1", "iM.data_TGTTGGAGTTCATCGA-1", "iM.data_AGTCATGGTATACCTG-1", "iM.data_GTCTGTCGTCATAGTC-1", "iM.data_ATGAAAGAGATTTGCC-1", "iM.data_TGTTGGACATGGCCCA-1", "iM.data_CATGGTAAGGGCTAAC-1", "iM.data_GCACGTGAGTATCCTG-1", "iM.data_TTGGATGCAGTGTGGA-1", "iM.data_TTGGATGCATCTGCGG-1", "iM.data_GAGTTACTCGGCGATC-1", "iM.data_TCGATTTAGTGTTCCA-1", "iM.data_TCAATTCTCTCTCGCA-1", "iM.data_TTGGGTAGTTCCGCGA-1", "iM.data_TTCTGTACACGCGTGT-1", "iM.data_AACCTTTTCGTCGCTT-1", "iM.data_GTATTGGTCTGAGCAT-1", "iM.data_CTACCCACAGAGACTG-1", "iM.data_CAAGCTAAGCCGAATG-1", "iM.data_GAATCGTGTCTCTCCA-1", "iM.data_GTCTGTCAGGCTAAAT-1", "iM.data_GGAGGTAGTCCGTTTC-1", "iM.data_TTTGTTGTCTTAGCCC-1", "iM.data_TGATTTCAGCCTTGAT-1", "iM.data_CCAAGCGGTGGAGAAA-1", "iM.data_ATGAGGGCAGTCCGTG-1", "iM.data_GTTACGATCTCGAACA-1", "iM.data_TCCGGGAGTCAAAGAT-1", "iM.data_GTAACCATCTTCTGTA-1", "iM.data_GATCCCTGTCATCCGG-1", "iM.data_CGGGCATTCTAGGCCG-1", "iM.data_GCAGTTAGTACCATAC-1", "iM.data_CACTAAGTCGTTGTTT-1", "iM.data_CCACAAAGTATGTGTC-1", "iM.data_TCGCAGGTCACTTGGA-1", "iM.data_TTTACTGCAAATGGCG-1", "iM.data_TCATGAGTCGATTGAC-1", "iM.data_GACTTCCGTTCAGCGC-1", "iM.data_AGAGCAGGTGAGCCAA-1", "iM.data_GAAATGACAGCCATTA-1", "iM.data_ACCTGAACACTGAGTT-1", "iM.data_AATTCCTAGACGGTTG-1", "iM.data_GAGTCATTCCATTTGT-1", "iM.data_ACTTATCTCTATCGCC-1", "iM.data_TACAACGTCTGAGAGG-1", "iM.data_TCGACCTCATGCTGCG-1", "iM.data_TCTGGCTTCCGTTGGG-1", "iM.data_TGACAGTTCGATTCCC-1", "iM.data_AACAAAGGTACTGACT-1", "iM.data_CGAGTGCTCGCACGAC-1", "iM.data_TACCTCGGTCACATTG-1", "iM.data_GCACGTGGTGCATACT-1", "iM.data_TCTGGCTGTGATCGTT-1", "iM.data_AATGGCTTCTGGACTA-1", "iM.data_CTCAACCCATAGATGA-1", "iM.data_CCGTTCATCTCGGGAC-1", "iM.data_GATCAGTCATCTGGGC-1", "iM.data_TTTGGTTAGACGCATG-1", "iM.data_GTTTACTAGAAGCTGC-1", "iM.data_GTGCGTGGTCATCTAG-1", "iM.data_AATGGAATCCCGAGGT-1", "iM.data_CTCATTAGTTGACTAC-1", "iM.data_TCTTAGTTCGGCATAT-1", "iM.data_GGGACTCTCACTGAAC-1", "iM.data_CACCGTTAGATCGCTT-1", "iM.data_ATTCTACAGAAGTCAT-1", "iM.data_TAGGGTTGTACACTCA-1", "iM.data_CATGGATGTTAGGGAC-1", "iM.data_ACAAGCTAGTAGAATC-1", "iM.data_GTGCGTGGTATGGTAA-1", "iM.data_GTAGAGGGTCCTGAAT-1", "iM.data_ATCCACCTCAAGCTGT-1", "iM.data_GATAGAAAGAAGGCTC-1", "iM.data_AGAACAATCTTGTTAC-1", "iM.data_CTGAATGGTTGCAACT-1", "iM.data_GGTGATTGTACCATAC-1", "iM.data_TTGTTTGTCGCAGTTA-1", "iM.data_GCTTGGGCAACCGTGC-1", "iM.data_ACTGCAATCAGGCGAA-1", "iM.data_ATTTACCCAAAGTATG-1", "iM.data_CCCTCAAGTATTGAGA-1", "iM.data_GAAGAATTCTTTGATC-1", "iM.data_TGCAGGCAGAAGCGCT-1", "iM.data_TCCAGAATCCCTTTGG-1", "iM.data_CCACGAGCACTATCCC-1", "iM.data_CTTCGGTGTCTTGCGG-1", "iM.data_CCTCCTCTCGATTCCC-1", "iM.data_TCCTTTCAGTACGAGC-1", "iM.data_TTGCATTAGCAGTACG-1", "iM.data_CAGCGTGTCAAGCCGC-1", "iM.data_ATGGAGGGTAGGTGCA-1", "iM.data_CTTCCTTCAAGAGCTG-1", "iM.data_AGACTCATCCGTTGGG-1", "iM.data_AAGTCGTCACACAGCC-1", "iM.data_AGTTCCCGTCCACAGC-1", "iM.data_CTAACCCGTACCTGTA-1", "iM.data_AGGACGAGTTTGGAGG-1", "iM.data_ACCCTTGGTTACGCCG-1", "iM.data_ACTTCGCAGACTCATC-1", "iM.data_ATGAGGGTCGGAAACG-1", "iM.data_AACCCAAGTAGACGGT-1", "iM.data_TAGACTGCAGTAACCT-1", "iM.data_CCCTTAGCAGTCTTCC-1", "iM.data_GACGTTATCTCGCTTG-1", "iM.data_GAGCTGCAGTAGCATA-1", "iM.data_TGTGGCGTCGTCGCTT-1", "iM.data_AATTCCTAGTAGGAAG-1", "iM.data_ACGGGTCCAGGCAATG-1", "iM.data_GACTCTCGTGCAACGA-1", "iM.data_ATATCCTCATGAGGGT-1", "iM.data_GGAATGGTCAAGCTGT-1", "iM.data_CATCGCTAGCGCTGCT-1", "iM.data_ATTATCCAGCCTCATA-1", "iM.data_TGCTCCAAGAGGTCGT-1", "iM.data_TGCATGAAGGCATGCA-1", "iM.data_CCGGACACACCAAAGG-1", "iM.data_TCATGGATCCATCTAT-1", "iM.data_CTTCTAATCGGCTGGT-1", "iM.data_ATTCAGGGTACGATGG-1", "iM.data_AGATGAAGTACGTGAG-1", "iM.data_ATTCAGGAGGGCAGGA-1", "iM.data_ATTACTCAGGGCCAAT-1", "iM.data_CAACAGTAGTATCCTG-1", "iM.data_AGCGCTGAGCATATGA-1", "iM.data_CCAATTTAGTTGTAAG-1", "iM.data_ACGTAGTCACTAGAGG-1", "iM.data_AATGGAATCCCGAAAT-1", "iM.data_GAAGAATTCGGACCAC-1", "iM.data_CGCAGGTGTTCAGGTT-1", "iM.data_TTCCTAAGTTATTCCT-1", "iM.data_GGTAACTCAGCTATTG-1", "iM.data_TCACATTGTAGTGATA-1", "iM.data_GTGTTAGGTGCCTACG-1", "iM.data_ACTTATCCACTCGATA-1", "iM.data_GTAGGAGTCGTGGAAG-1", "iM.data_TTTCAGTGTGATTCTG-1", "iM.data_GCTTCACGTCTACAAC-1", "iM.data_CTCAACCGTCTGATCA-1", "iM.data_GTAATCGTCTTCGTAT-1", "iM.data_GGCTTTCAGTTCTCTT-1", "iM.data_GAGTTTGTCATTATCC-1", "iM.data_GTTATGGGTTCGTACA-1", "iM.data_ACCTGTCAGGATACGC-1", "iM.data_TAATTCCAGGCTCTCG-1", "iM.data_GTCTGTCTCCTTGGAA-1", "iM.data_CGTGCTTTCCTAGCTC-1", "iM.data_AGCGCCACAAATTGGA-1", "iM.data_GACTGATTCTAAGCGT-1", "iM.data_TTCAGGATCTACTTCA-1", "iM.data_GGGTCTGGTGCCCGTA-1", "iM.data_TTCCACGCAAGGGCAT-1", "iM.data_GGGTTTACACCAGCTG-1", "iM.data_TCGCTTGGTGCCTATA-1", "iM.data_CATTCATTCCCGTTCA-1", "iM.data_ATCACAGTCCATTTGT-1", "iM.data_CTACAGACACGCAAAG-1", "iM.data_TAGGAGGTCATGACAC-1", "iM.data_GGGTCACGTGAGCGAT-1", "iM.data_AGAGCAGCACCGTGCA-1", "iM.data_TTCAATCCACTAGGCC-1", "iM.data_CTGGTCTAGGGCTAAC-1", "iM.data_TTACCATAGCTTAAGA-1", "iM.data_CACGTGGTCACACCCT-1", "iM.data_ATCACTTAGTTAGAAC-1", "iM.data_CAAGGGAGTCAGGAGT-1", "iM.data_TTACCGCCAGAGGAAA-1", "iM.data_GCATGATAGGCATGGT-1", "iM.data_TTTCCTCCAGCGTGCT-1", "iM.data_TAGACCAGTCCTTGTC-1", "iM.data_ACTGTCCCAACTCATG-1", "iM.data_TAGGTTGTCCTTATCA-1", "iM.data_TTACTGTCAACGTAAA-1", "iM.data_ATCACAGAGACGGATC-1", "iM.data_CACGGGTGTATACCTG-1", "iM.data_CAATGACTCGATACAC-1", "iM.data_TGTACAGAGTTCGGTT-1", "iM.data_ATTACTCGTCTCCTGT-1", "iM.data_CATTCTATCGCAGATT-1", "iM.data_CCTCTAGAGCAATTCC-1", "iM.data_AGGTTACTCCGGTAAT-1", "iM.data_AAAGGGCGTCGAACAG-1", "iM.data_CAACCTCGTAAGCGGT-1", "iM.data_AAACGCTCAACAAGTA-1", "iM.data_ATGCATGGTCAGGTGA-1", "iM.data_GGGATCCGTATATGGA-1", "iM.data_CATTGTTGTAGCTAAA-1", "iM.data_TTGCCTGGTGGATCAG-1", "iM.data_TACACCCAGCATAGGC-1", "iM.data_AAGTCGTAGCACTTTG-1", "iM.data_GCCCGAACAGGCATGA-1", "iM.data_CATTGTTAGATAGTCA-1", "iM.data_GTTCCGTCAGTTTCAG-1", "iM.data_TGTGCGGTCCTGTTAT-1", "iM.data_ACGCACGCATGGCTGC-1", "iM.data_TGAGGGATCCGTCCTA-1", "iM.data_AGAGCAGTCGAGCTGC-1", "iM.data_TCACGGGGTGCCCACA-1", "iM.data_TATCCTAGTTCAGTAC-1", "iM.data_ACTTTGTTCTGCGGAC-1", "iM.data_TGTGTGATCGTCAAAC-1", "iM.data_TGATGGTAGGCCACTC-1", "iM.data_TCCTCTTGTGTATACC-1", "iM.data_GGTTGTAAGTATTAGG-1", "iM.data_TTCTTCCGTTTGAACC-1", "iM.data_GTAACACTCCTCACTG-1", "iM.data_GCCCAGACATACGCAT-1", "iM.data_TGTGCGGTCATTTGCT-1", "iM.data_CAACCTCAGTAGGCCA-1", "iM.data_AGGATCTCAATAGAGT-1", "iM.data_GGTAGAGAGGAAGAAC-1", "iM.data_GGGATGATCCATCCGT-1", "iM.data_GTTGTCCTCTATCCAT-1", "iM.data_GTCCCATGTTCGGTAT-1", "iM.data_TTTATGCCAATACCTG-1", "iM.data_AGAAATGCATGAGGGT-1", "iM.data_GTGACGCCACGTACTA-1", "iM.data_TAAGTCGTCTCGTGGG-1", "iM.data_GCTGCAGGTACAACGG-1", "iM.data_CCACGAGTCACTCCGT-1", "iM.data_AGGCATTGTGTGACCC-1", "iM.data_GCAGGCTCATCATTGG-1", "iM.data_GACTATGCAGGGATAC-1", "iM.data_CATGCAAAGTTGTAGA-1", "iM.data_ATCCATTAGGCTAGCA-1", "iM.data_AGGACTTCAGTGGCTC-1", "iM.data_CGAAGTTCAAAGGAGA-1", "iM.data_TCGCAGGCATGTGGCC-1", "iM.data_AGTCAACTCCAACTGA-1", "iM.data_CGCATAAGTATGCTAC-1", "iM.data_TTTACTGGTGATAGAT-1", "iM.data_GGTTCTCTCCGCACTT-1", "iM.data_TCTCACGCATATACCG-1", "iM.data_GACTGATGTTCCGCAG-1", "iM.data_GAAGGGTTCGATGCAT-1", "iM.data_AACAAGAGTTTACTGG-1", "iM.data_TTCATTGCACTTTATC-1", "iM.data_AGTACTGGTAGCACAG-1", "iM.data_GATGATCAGTTTGAGA-1", "iM.data_TCATACTCAGTCGTTA-1", "iM.data_TTCCTTCCAGGAATCG-1", "iM.data_CCTGTTGTCTACACAG-1", "iM.data_TCAGTTTAGACTTCGT-1", "iM.data_ACTGATGTCAAGAGGC-1", "iM.data_TCCGAAATCGCACGAC-1", "iM.data_TACCTGCTCGTTGTAG-1", "iM.data_CGGAACCTCGTCTCAC-1", "iM.data_ACTCCCAGTATACCCA-1", "iM.data_GGCAGTCTCTAGTACG-1", "iM.data_GGGTGTCGTCAAAGTA-1", "iM.data_AATCGTGGTAGCTCGC-1", "iM.data_CAAAGAATCTATTTCG-1", "iM.data_ACGTTCCAGTTCAACC-1", "iM.data_CAGCAATAGTCTAACC-1", "iM.data_ATGAGTCGTTAAGGGC-1", "iM.data_GGTTGTAAGTGCAGGT-1", "iM.data_ATCGTAGCAAGTGTCT-1", "iM.data_TTGTTGTCAGCTACTA-1", "iM.data_TTCTGTAAGCCACAAG-1", "iM.data_CTTGAGACATAAGCAA-1", "iM.data_TCCTCCCAGAATCGAT-1", "iM.data_TCATCATGTGTGTCGC-1", "iM.data_ATAGGCTCAATTGCGT-1", "iM.data_GCCAGGTGTAGGGTAC-1", "iM.data_AGCATCACATCACGGC-1", "iM.data_ACGGAAGGTGAAGCTG-1", "iM.data_GCTGAATGTCCTCAGG-1", "iM.data_CCAATGACAGTGAGCA-1", "iM.data_CTGGACGCAACTTGCA-1", "iM.data_CTGTGGGGTCAGACGA-1", "iM.data_TGTTCATCATGTGGCC-1", "iM.data_TGCCGAGTCTGCCTGT-1", "iM.data_TCAAGACAGCCTGAGA-1", "iM.data_ACACCAAAGCGTTCAT-1", "iM.data_TGAGCATCAGGCCTGT-1", "iM.data_GGGAGTAAGTAGACCG-1", "iM.data_GAGTGTTGTTGTAGCT-1", "iM.data_AGGGCTCCACAAACGG-1", "iM.data_ATTACTCTCCTTATCA-1", "iM.data_TCAATCTTCAGCCCAG-1", "iM.data_CTCAATTGTTGAGTCT-1", "iM.data_ACTTATCGTCGTACAT-1", "iM.data_GGGCGTTTCGCAATGT-1", "iM.data_AGGTTACGTGATGTAA-1", "iM.data_CCAAGCGAGGTCGCCT-1", "iM.data_ATCAGGTTCAGACCGC-1", "iM.data_AGCTTCCGTCTACGAT-1", "iM.data_TATTCCATCCGACATA-1", "iM.data_CTCTCAGGTAGCTTAC-1", "iM.data_ACGGTCGGTGTTAAAG-1", "iM.data_TCCAGAAAGACGCCAA-1", "iM.data_AGTGTTGCACAGCTGC-1", "iM.data_CTGTACCGTCAACACT-1", "iM.data_CACAGATTCCGCATAA-1", "iM.data_TATCCTATCATGTCAG-1", "iM.data_TCTATCATCTTTCCAA-1", "iM.data_ACTGTGATCTCGCCTA-1", "iM.data_TAACGACTCTTCTGGC-1", "iM.data_CACTAAGCACTACCGG-1", "iM.data_ACCCAAAAGGGACCAT-1", "iM.data_ATCCACCGTTGCCAAT-1", "iM.data_TCCCATGGTACAAAGT-1", "iM.data_TCATACTTCCCATAGA-1", "iM.data_ATCACGATCAATCCGA-1", "iM.data_TCAGTTTCAAGACTGG-1", "iM.data_GACGTTAGTTAGCTAC-1", "iM.data_GGACGTCCACTTCCTG-1", "iM.data_CTAACCCAGGGAGGTG-1", "iM.data_TGGTGATCATCATTGG-1", "iM.data_ATTCAGGCAGTAGGAC-1", "iM.data_GATAGAAGTGGATCAG-1", "iM.data_TAAGTCGGTCCACTTC-1", "iM.data_AGCTCAATCCAGTGTA-1", "iM.data_GACTTCCGTTCTCTCG-1", "iM.data_GGTTCTCAGAGGCGTT-1", "iM.data_TCAAGTGCAAACTCTG-1", "iM.data_GAGTTGTTCAACTCTT-1", "iM.data_TCCACCAGTTCTCCTG-1", "iM.data_TTCTTGATCTTCGGAA-1", "iM.data_ATTCCCGGTCGCGTCA-1", "iM.data_TACGGTAGTGCTCTCT-1", "iM.data_CTCCAACGTGCATACT-1", "iM.data_CGTCAAAAGCTCTTCC-1", "iM.data_GTCGCGATCCTGTTAT-1", "iM.data_TGGAGGACAGCTACAT-1", "iM.data_TGACGCGGTTAGTCGT-1", "iM.data_GTCATTTTCACCACAA-1", "iM.data_CCGGACACAGTCGCTG-1", "iM.data_ACAACCAGTGGACAGT-1", "iM.data_AACCAACTCGCAGAGA-1", "iM.data_GACTGATTCACCACAA-1", "iM.data_CCTCAGTCAGCTACTA-1", "iM.data_GATCCCTGTGTTGACT-1", "iM.data_AAAGTCCGTTGCCATA-1", "iM.data_TCGTAGAGTCTACGAT-1", "iM.data_AGTGATCGTGTCGCTG-1", "iM.data_GTGTTAGTCTAGATCG-1", "iM.data_GAAATGATCTGGTTGA-1", "iM.data_CAGGCCACAGGTTCCG-1", "iM.data_ACTACGAGTAATTGGA-1", "iM.data_AGTTAGCAGCTCCACG-1", "iM.data_TCGAACATCTGACCCT-1", "iM.data_GCCAGCAGTTTCAGAC-1", "iM.data_TGTGGCGGTTTCGTAG-1", "iM.data_ACTATTCAGGTTAGTA-1", "iM.data_AGGGTTTTCCATCTAT-1", "iM.data_CATAAGCAGTTGCCTA-1", "iM.data_GTTACAGGTTTGGCTA-1", "iM.data_GCAACATTCCATGCAA-1", "iM.data_ACAAGCTCAGATTCGT-1", "iM.data_AACAGGGTCCCACAGG-1", "iM.data_TTGGATGGTTGGCTAT-1", "iM.data_TACCTGCCATACAGGG-1", "iM.data_GAAGAATCACCGTCTT-1", "iM.data_AGTCTCCTCTCGCTTG-1", "iM.data_AGGCTGCCAGCGAACA-1", "iM.data_TCCTTCTTCTCGAGTA-1", "iM.data_GGAGATGTCCCAGGCA-1", "iM.data_CTCCCAACATGTGACT-1", "iM.data_TGAGACTAGATCGCTT-1", "iM.data_CGGGCATAGAATCCCT-1", "iM.data_ACCAAACAGCCAGACA-1", "iM.data_ATGATCGGTCGATTTG-1", "iM.data_TGTAAGCTCAAGCTGT-1", "iM.data_TCAGTCCAGTGGAATT-1", "iM.data_GTGGCGTAGCCTATTG-1", "iM.data_TCAAGCAGTCGCCACA-1", "iM.data_TAACTTCGTGTCTAAC-1", "iM.data_TAGACCAGTAGCTGCC-1", "iM.data_ACCCTTGAGTCATCCA-1", "iM.data_AGACAAACATGTGCCG-1", "iM.data_TACATTCTCCCTCATG-1", "iM.data_AACCAACGTCGTACTA-1", "iM.data_CGCGTGAGTTAATCGC-1", "iM.data_ATAGAGAAGACATATG-1", "iM.data_TGATGCACATTGTGCA-1", "iM.data_GATCAGTTCCCTCTCC-1", "iM.data_AGTCTCCGTCGATGCC-1", "iM.data_GACTATGAGCTACTAC-1", "iM.data_CTCAGGGGTGATAGAT-1", "iM.data_AATGAAGAGAGAGCCT-1", "iM.data_CACCAAAGTGATCGTT-1", "iM.data_TGGTACAGTCTTCAAG-1", "iM.data_GACGTTACATCAGCTA-1", "iM.data_CTCCATGTCTTGTTAC-1", "iM.data_CTGGACGCATACACCA-1", "iM.data_AGTCTCCGTCTCGCGA-1", "iM.data_GTATTTCTCCTCTCTT-1", "iM.data_ATTCAGGGTCGAATTC-1", "iM.data_ATGAGTCGTACTGGGA-1", "iM.data_AGCATCATCTGTCCGT-1", "iM.data_GGTCACGCACCCGTAG-1", "iM.data_AGTGTTGAGCACTCGC-1", "iM.data_TACTGCCTCCAACTAG-1", "iM.data_TCGGTCTAGTCTCGTA-1", "iM.data_TCATCCGGTGTTCAGT-1", "iM.data_CATCGCTTCTTCTAAC-1", "iM.data_TTCTTGACAGATGCGA-1", "iM.data_TCATATCAGAGCCGTA-1", "iM.data_GTCAAGTTCTTAGCCC-1", "iM.data_ACGTACACAAATCAAG-1", "iM.data_GATGGAGCATTGTACG-1", "iM.data_CATCGCTCATGACGTT-1", "iM.data_TCACGCTGTGCTTCAA-1", "iM.data_TGCACGGCACCAGCGT-1", "iM.data_CAGCGTGTCTTTGCGC-1", "iM.data_CTTCAATGTGTCTTCC-1", "iM.data_TACTGCCCACAGGATG-1", "iM.data_TTGATGGCACGAGGTA-1", "iM.data_CGGCAGTGTCCGGTCA-1", "iM.data_CTGAGGCAGTATGAAC-1", "iM.data_TTTGTTGAGTCATGGG-1", "iM.data_AAAGGATAGCTGACAG-1", "iM.data_CCTAAGACAACTGCTA-1", "iM.data_CCCTCTCAGTAGGTTA-1", "iM.data_CGTGAATCACACACGC-1", "iM.data_CGTGCTTGTGTACAGG-1", "iM.data_TCAGTTTCAAGCGAGT-1", "iM.data_AGATAGAGTCTCAGAT-1", "iM.data_AGCCAATGTAGAATAC-1", "iM.data_TGCTCGTCACGACGTC-1", "iM.data_TTGTTTGGTCCGGCAT-1", "iM.data_GTAAGTCCAACTAGAA-1", "iM.data_CAAGCTAAGTCCCGAC-1", "iM.data_CATCCCAAGCACTCTA-1", "iM.data_CGAGGCTAGTTACTCG-1", "iM.data_TGGGCTGCACATATGC-1", "iM.data_TTCCTTCTCGTGTGAT-1", "iM.data_ATTTCACGTATCGCAT-1", "iM.data_CTCCGATAGAAGAGCA-1", "iM.data_TGTTTGTCATCTTAGG-1", "iM.data_GCAACCGTCAGCAATC-1", "iM.data_CCTTGTGAGGACCCAA-1", "iM.data_GCAGCTGAGCGTTCCG-1", "iM.data_GTGAGCCTCAGGAACG-1", "iM.data_ACTATTCTCCCAAGCG-1", "iM.data_TCACTATTCGAGAGAC-1", "iM.data_TCGAACAAGTGGATAT-1", "iM.data_TTCTTGAGTGAGTAAT-1", "iM.data_GAGGCCTGTAGCTGCC-1", "iM.data_AGGCCACAGAGTTGCG-1", "iM.data_CCTCTCCAGTAGACCG-1", "iM.data_CTGCCATCAACGACAG-1", "iM.data_TAACACGAGTTACGTC-1", "iM.data_AGGCATTAGGGCTGAT-1", "iM.data_AACAGGGTCTGACAGT-1", "iM.data_AGGAATAGTCTACAAC-1", "iM.data_TCCTTTCAGCGCAATG-1", "iM.data_GTTACAGGTCATCTAG-1", "iM.data_ATAGGCTAGATTGATG-1", "iM.data_CTGGACGGTCGCATTA-1", "iM.data_TCAGTTTTCATCACCC-1", "iM.data_AGTAGTCCATAGACTC-1", "iM.data_ATGCGATGTTGGAGGT-1", "iM.data_CATCGCTGTAATACCC-1", "iM.data_CTAACCCCACATACTG-1", "iM.data_TGAGGTTGTGGTAACG-1", "iM.data_TAAGCGTAGGGTTAGC-1", "iM.data_CAATTTCCAGTAACCT-1", "iM.data_CATGAGTAGTAGCCAG-1", "iM.data_GCCAACGTCTGGCCGA-1", "iM.data_TCGCTCACACAATGTC-1", "iM.data_ATGAAAGTCGCCAGTG-1", "iM.data_GTATTTCAGGTCCAGA-1", "iM.data_TACTTCATCCGCACGA-1", "iM.data_CATAAGCCACATGGTT-1", "iM.data_TAATTCCCAGCTTTGA-1", "iM.data_TTCCAATGTACGAGCA-1", "iM.data_AGATGAAAGTGTTCCA-1", "iM.data_CCCTTAGCAAACGAGC-1", "iM.data_TCATCATCAATCTCGA-1", "iM.data_GTGGAAGCATTACTCT-1", "iM.data_CAAGGGAGTTGCCGAC-1", "iM.data_GGCTGTGAGCCGCTTG-1", "iM.data_ACACAGTCACGCGTGT-1", "iM.data_ATCATTCCAGAGCTAG-1", "iM.data_CTTCCGACAACGACTT-1", "iM.data_TCTCCGAGTACATACC-1", "iM.data_ACGTACACACTTTAGG-1", "iM.data_TTCAATCGTATCAGCT-1", "iM.data_ATGGATCAGACGACGT-1", "iM.data_AGTCACATCGGTGAAG-1", "iM.data_AGGTCATCATAGGCGA-1", "iM.data_GCACATATCACATTGG-1", "iM.data_CCTCATGTCGAAATCC-1", "iM.data_ACGATCACAGGTGGAT-1", "iM.data_CTCAACCTCCCATTTA-1", "iM.data_ACCTGTCTCGTTGTAG-1", "iM.data_TCAGGTATCTGGGCAC-1", "iM.data_TCCCAGTAGGGTTGCA-1", "iM.data_GACTCTCTCTACTGCC-1", "iM.data_TCGTCCACATGTTTGG-1", "iM.data_CTACTATTCCTGTACC-1", "iM.data_GTCAAACCAGGCCTGT-1", "iM.data_TCATTCAAGCTTCTAG-1", "iM.data_AATGAAGAGACATAGT-1", "iM.data_CCTCCAAAGATGACCG-1", "iM.data_TAGACTGCAGAGGCAT-1", "iM.data_CATGGTATCTGGTGCG-1", "iM.data_AGTTAGCAGGCGAACT-1", "iM.data_TCGACCTGTCTGTGTA-1", "iM.data_CTGTGAACACTTCAGA-1", "iM.data_GGGACAACAGCTACTA-1", "iM.data_TCACATTTCTGCTAGA-1", "iM.data_ACTATCTAGTAGCAAT-1", "iM.data_TGCTCCATCGAACACT-1", "iM.data_TCCTAATTCGTTCAGA-1", "iM.data_GGTGGCTCAGAATTCC-1", "iM.data_CCTGCATGTGGAGAAA-1", "iM.data_TTGGATGTCCTTCTAA-1", "iM.data_GAGGGATAGCCTGCCA-1", "iM.data_TACCTGCGTCATAACC-1", "iM.data_CCCTAACTCTTCTGGC-1", "iM.data_CATGCTCAGAAACTCA-1", "iM.data_CCCGAAGCAGCAGTGA-1", "iM.data_AAAGAACCACTCGATA-1", "iM.data_ACTGTCCCAGTCACGC-1", "iM.data_AGTACTGGTCGTATGT-1", "iM.data_TTCTTGAGTGCTGTCG-1", "iM.data_CTCACTGGTAGATCCT-1", "iM.data_TGCAGTAAGCCTGACC-1", "iM.data_TGAGGAGAGACCTTTG-1", "iM.data_GTTCTATCATACTTTC-1", "iM.data_AGGAAATTCCACAGCG-1", "iM.data_GGGCTACTCGTGGAAG-1", "iM.data_CCGGGTACAGCTGGTC-1", "iM.data_TAGGTTGCAGCGAACA-1", "iM.data_ATCCCTGAGGACTTCT-1", "iM.data_TTCACGCCATGTCAGT-1", "iM.data_GGTGGCTTCGCACTCT-1", "iM.data_AAGACAAAGTTGCATC-1", "iM.data_TCGCACTTCACTACTT-1", "iM.data_GAATAGACACCGTGCA-1", "iM.data_TACCGAATCACCTGTC-1", "iM.data_AGGCCACAGTAATACG-1", "iM.data_CAATCGAAGAATCTAG-1", "iM.data_GTTAGACTCTTGCAAG-1", "iM.data_AGGCCACCAAGTGCTT-1", "iM.data_TGGTGATGTGAGCAGT-1", "iM.data_TCATCCGTCGACCACG-1", "iM.data_CATCAAGGTGATGGCA-1", "iM.data_GTGAGTTTCTGTTGGA-1", "iM.data_TGGAGGATCAGTGATC-1", "iM.data_ATCACGACACACGTGC-1", "iM.data_ATTCAGGTCACTCACC-1", "iM.data_CTAACCCGTTGTGTAC-1", "iM.data_CCTCAGTTCTCATGCC-1", "iM.data_GGGTATTTCAATCCGA-1", "iM.data_ATGGGTTTCATGAAAG-1", "iM.data_CCTCCAACACAGTCAT-1", "iM.data_GCAACCGTCTGTACAG-1", "iM.data_GACAGCCCAGTCGAGA-1", "iM.data_ACGTAACGTAGTCTGT-1", "iM.data_TCTGGCTCACCAGACC-1", "iM.data_GAGTTACCAGCTCCTT-1", "iM.data_AATGACCGTCCGAAAG-1", "iM.data_TCACTCGGTCACGCTG-1", "iM.data_AGGCCACTCATTTCGT-1", "iM.data_CACTGGGAGCTGCCTG-1", "iM.data_GGTGGCTGTTAAAGTG-1", "iM.data_CTCAGAATCGTGCTCT-1", "iM.data_CGTGCTTGTGTGGACA-1", "iM.data_GAGTGAGGTCGGTGTC-1", "iM.data_TCACGCTCATGTGTCA-1", "iM.data_AAGACTCTCAAGAGTA-1", "iM.data_CCCTCAAGTTTGCAGT-1", "iM.data_GTAGAAAAGCCTGTCG-1", "iM.data_TGACTCCAGCAATTCC-1", "iM.data_CCGTAGGCAGATCCTA-1", "iM.data_TCCTCTTGTCGTATGT-1", "iM.data_GTGATGTCAGGAAGTC-1", "iM.data_GTCTGTCGTCGTAATC-1", "iM.data_GCAACCGGTGGATCGA-1", "iM.data_GTTCATTTCCCGTGTT-1", "iM.data_GAGCCTGGTCAGGTAG-1", "iM.data_CCGTTCAAGTCCCAAT-1", "iM.data_CAACAGTGTGGCTTAT-1", "iM.data_AAGATAGGTAGACACG-1", "iM.data_TAGAGTCTCGGCTCTT-1", "iM.data_AACCCAACAAGGCGTA-1", "iM.data_CATTGAGTCGTGGCTG-1", "iM.data_GAAGGACAGGTCGTAG-1", "iM.data_GACTCAATCTGGCCAG-1", "iM.data_TCATTCATCTATGTGG-1", "iM.data_AGGGCTCAGCATACTC-1", "iM.data_GTTATGGAGTCTAGCT-1", "iM.data_CATCCCAAGAAATTCG-1", "iM.data_ATGCGATGTAGCTTTG-1", "iM.data_AGCCAATTCGGTTCAA-1", "iM.data_GACTCTCTCCGTAGGC-1", "iM.data_GTGACGCCACACGGAA-1", "iM.data_ACAACCACACACAGCC-1", "iM.data_CACGTTCTCGGCATTA-1", "iM.data_TGTAAGCCAACACAAA-1", "iM.data_TACAGGTAGCTCAGAG-1", "iM.data_TCAATCTAGTAATTGG-1", "iM.data_TCATGAGAGTAGCAAT-1", "iM.data_GGTCACGTCAACTGGT-1", "iM.data_GGGATCCGTGCATTTG-1", "iM.data_CTGAGGCGTTGTTGAC-1", "iM.data_CTCAAGACAACGCCCA-1", "iM.data_CTGGTCTGTAGGATAT-1", "iM.data_AGATAGATCTATCCAT-1", "iM.data_CCTCATGTCAAGGTGG-1", "iM.data_AGAACCTCAGGGAATC-1", "iM.data_TAAGCCATCTCGTGAA-1", "iM.data_CTCACTGGTAATACCC-1", "iM.data_GTTCGCTTCCGCTGTT-1", "iM.data_TTGGGATTCAGACTGT-1", "iM.data_GCATGATTCAGCACCG-1", "iM.data_CGTCAAAAGGCAGCTA-1", "iM.data_AGACAGGAGCACGATG-1", "iM.data_CTGTAGAGTTGCCGCA-1", "iM.data_AACACACTCCACAGCG-1", "iM.data_CTGATCCTCAGCATTG-1", "iM.data_GGAACCCGTGTTAAAG-1", "iM.data_CTACCTGTCTAGCCAA-1", "iM.data_CGACAGCAGCGTATAA-1", "iM.data_TTACAGGAGGTCGAGT-1", "iM.data_AGTACCAAGCCACTCG-1", "iM.data_CGCATAACAATAGGGC-1", "iM.data_TAGATCGAGGAGAGTA-1", "iM.data_CAAGGGATCTCGTGGG-1", "iM.data_CGTAATGTCGACGCTG-1", "iM.data_TGTCCCACACATCATG-1", "iM.data_ATTCATCTCGTAGTGT-1", "iM.data_ATTCTACGTGTGTCGC-1", "iM.data_TGAACGTCATGGTGGA-1", "iM.data_TGATGGTTCTGCATGA-1", "iM.data_AAGATAGAGAGAGCGG-1", "iM.data_GTCACGGTCATGTCAG-1", "iM.data_TTCCTAAGTCTCAAGT-1", "iM.data_GTGCAGCTCAAGCTGT-1", "iM.data_CTGGCAGAGGTACAAT-1", "iM.data_AGTAACCAGAGTCAAT-1", "iM.data_CGCATGGGTGAGCTCC-1", "iM.data_TAGACCACAACCAATC-1", "iM.data_GTTAGTGTCTACTCAT-1", "iM.data_CTTCGGTGTGGCAGAT-1", "iM.data_GTTCATTGTAAGATCA-1", "iM.data_TCAGGGCCAATTGGTC-1", "iM.data_AGTCACAGTTCAAGGG-1", "iM.data_CGGAATTCACATTCGA-1", "iM.data_GGGTTTACAGTAGTTC-1", "iM.data_AGGTCTATCGCTACGG-1", "iM.data_CAAGCTAGTTCCTTGC-1", "iM.data_TAGACTGCACGTATAC-1", "iM.data_ACGGGTCGTTAAGCAA-1", "iM.data_TACCGAACACAACGCC-1", "iM.data_AAGATAGGTAATTGGA-1", "iM.data_ATAGACCCAGAGTCAG-1", "iM.data_GGTGAAGAGACTTCAC-1", "iM.data_ATAGAGATCTGACAGT-1", "iM.data_CATTGCCCAGCGTTTA-1", "iM.data_TCATTGTTCCACTTCG-1", "iM.data_AACCATGAGAGTAACT-1", "iM.data_CTCCTCCAGTCACACT-1", "iM.data_AGGACGATCGCGATCG-1", "iM.data_AACCATGGTTGGGTTT-1", "iM.data_TGCATCCTCGGACTTA-1", "iM.data_TCCTAATCACCGTCTT-1", "iM.data_CTACCTGGTTAGGGAC-1", "iM.data_AGGATAAGTTGGACCC-1", "iM.data_TAACCAGCATAACCCA-1", "iM.data_CTTACCGTCTCTCCGA-1", "iM.data_TGCTCGTAGTAACAGT-1", "iM.data_TACTTGTTCAGTCTTT-1", "iM.data_TTCTGTATCTCGTGAA-1", "iM.data_AACCTGAAGGTCCCGT-1", "iM.data_TCAGCAAGTCTTTCTA-1", "iM.data_CTAACCCAGTAAACAC-1", "iM.data_CTTCTCTGTATCAGGG-1", "iM.data_ATACTTCAGCAGGGAG-1", "iM.data_ATGACCAGTAGGTGCA-1", "iM.data_GTAATGCTCCATACTT-1", "iM.data_AAGCATCCATGACTCA-1", "iM.data_GACCCAGAGCCAGACA-1", "iM.data_TCATTCATCTTCTTCC-1", "iM.data_TTTGATCCAGGTTCGC-1", "iM.data_TTTGGAGAGTCAAGCG-1", "iM.data_CGCGTGAGTTAGTTCG-1", "iM.data_GGTAGAGCATTCTCTA-1", "iM.data_GTTGCTCCATTCATCT-1", "iM.data_TCATTGTAGAGGCTGT-1", "iM.data_CTTCTCTTCGGATACT-1", "iM.data_AGGTTGTTCCTCAGGG-1", "iM.data_CTGTGAACAGAGCCCT-1", "iM.data_ATTTCTGGTCACTTCC-1", "iM.data_TGCGACGTCGGAACTT-1", "iM.data_AACAACCAGTGACCTT-1", "iM.data_GCTGGGTGTTCTTCAT-1", "iM.data_GAGGCAATCTGAGAAA-1", "iM.data_TGATGGTAGGGCGAAG-1", "iM.data_ATGAAAGGTCTTGCGG-1", "iM.data_CGAGAAGGTATTGCCA-1", "iM.data_GACCAATCATTCGATG-1", "iM.data_ATGAAAGTCCTTCGAC-1", "iM.data_CAATGACCACCCTCTA-1", "iM.data_AATGACCAGACTGGGT-1", "iM.data_GGGTTTAGTTGGAGAC-1", "iM.data_GAACTGTAGGTATTGA-1", "iM.data_GCGTGCATCATTTCGT-1", "iM.data_CACGTTCAGTAAGAGG-1", "iM.data_TGGGCGTTCTGAATCG-1", "iM.data_TATTCCACAACTCCCT-1", "iM.data_AAGGTAAGTTAGGGTG-1", "iM.data_ACTTTGTGTCAATGGG-1", "iM.data_GTTATGGGTCTGTGTA-1", "iM.data_CATACCCTCTGGTCAA-1", "iM.data_ACTATTCAGGCGATAC-1", "iM.data_TCAGCAATCTAACACG-1", "iM.data_TATCCTACAGCCTTCT-1", "iM.data_TATACCTCACTGAGGA-1", "iM.data_AGACCATAGTCACTGT-1", "iM.data_GTTACGATCTGTAACG-1", "iM.data_CCAATGAGTTACGGAG-1", "iM.data_GTTGCTCAGAGTCCGA-1", "iM.data_GTCTGTCCATAGACTC-1", "iM.data_ATTACCTGTCAACGCC-1", "iM.data_CGTCCATCATGAATCC-1", "iM.data_CGTAATGCACCAATTG-1", "iM.data_ATGAGTCCAAGTGACG-1", "iM.data_CCCATTGCAGAACTCT-1", "iM.data_AGTCAACGTCTTGAGT-1", "iM.data_CTCAAGATCCATGCAA-1", "iM.data_GTGTGATTCGTTCCCA-1", "iM.data_GATTCTTTCCACTAGA-1", "iM.data_ACGATCAAGTCTCCTC-1", "iM.data_GCGGAAACACCCGTAG-1", "iM.data_TCATCCGAGCATCAGG-1", "iM.data_CCCTTAGGTCGCAACC-1", "iM.data_GTGCGTGAGATGAACT-1", "iM.data_ACCCTTGAGCATATGA-1", "iM.data_GTGTTCCCATGGGTTT-1", "iM.data_GAAGTAATCACTGAAC-1", "iM.data_GAGTTTGTCTAACGCA-1", "iM.data_GAAGCCCGTAAGTTGA-1", "iM.data_GTGAGCCTCAGGACGA-1", "iM.data_GACCTTCCACGCTATA-1", "iM.data_TACTTGTTCGAACCTA-1", "iM.data_TCAAGTGCATCATTGG-1", "iM.data_GAGTGTTGTCAAAGTA-1", "iM.data_ACTTAGGCAGATCCAT-1", "iM.data_CATGCTCCAGAGGAAA-1", "iM.data_AAGACAAAGGCCTGAA-1", "iM.data_AAGCCATTCATCGCAA-1", "iM.data_ACAGGGATCGCACTCT-1", "iM.data_GGGCTACAGCCACTCG-1", "iM.data_TGGAGGAGTGGAAATT-1", "iM.data_AGCCAGCAGCCGGAAT-1", "iM.data_GAGTTGTTCCATAGGT-1", "iM.data_TCCTTTCTCGTGGCTG-1", "iM.data_ATGAAAGAGTCATCCA-1", "iM.data_ATTCTTGGTACGGGAT-1", "iM.data_CTGTGAACAATCTCGA-1", "iM.data_TACCGGGAGTTAGTAG-1", "iM.data_AACAACCAGCCTCTGG-1", "iM.data_TCGCAGGCACCCATAA-1", "iM.data_CCACAAAGTCTAGGTT-1", "iM.data_CCCTTAGAGCGAGTCA-1", "iM.data_ACAAGCTCACTAGGTT-1", "iM.data_TATTTCGAGCTGGCTC-1", "iM.data_TTGACCCCACAGACGA-1", "iM.data_GGCACGTGTTAGCGGA-1", "iM.data_TCCGATCGTATCGAGG-1", "iM.data_TCAAGCAGTGGCTGAA-1", "iM.data_CGTGAATAGACCACGA-1", "iM.data_CAACCAATCACCACAA-1", "iM.data_CAGCCAGCAATACGCT-1", "iM.data_TTCCTTCTCCGATAAC-1", "iM.data_ATCTCTAAGGTGGGTT-1", "iM.data_GCGATCGCAACCACAT-1", "iM.data_TGTGATGGTTATGTGC-1", "iM.data_AGAAATGAGACAGCGT-1", "iM.data_AGCTACAAGGGTGAAA-1", "iM.data_AACACACTCCGATAAC-1", "iM.data_TTAGTCTAGACCTGGA-1", "iM.data_TTCCGTGCAGGATTCT-1", "iM.data_AAACCCACAACAACAA-1", "iM.data_CAATGACGTGACGTCC-1", "iM.data_TTGGGCGAGTTGCTCA-1", "iM.data_GACGTTATCTGGGTCG-1", "iM.data_ATCCCTGCAGCTGCCA-1", "iM.data_CACGTGGAGAGAGCAA-1", "iM.data_GTATTGGTCCGACGGT-1", "iM.data_ACGATCATCTGATGGT-1", "iM.data_ATAGGCTTCACGAGGA-1", "iM.data_AAGATAGAGTGGTTAA-1", "iM.data_TTTAGTCAGGACAAGA-1", "iM.data_GGTTCTCAGAGGGTCT-1", "iM.data_TCCTAATAGTTAGAAC-1", "iM.data_TTTGTTGCACAAGTTC-1", "iM.data_ACTATCTGTCAGCGTC-1", "iM.data_TCATACTAGGTACAAT-1", "iM.data_TTCTAGTTCGCCGTGA-1", "iM.data_ATCATTCTCACCTTAT-1", "iM.data_AACGTCATCAAACTGC-1", "iM.data_CCTTCAGCAAATCAAG-1", "iM.data_CTCAGGGTCCCTTTGG-1", "iM.data_TTTACTGGTACCCGAC-1", "iM.data_TGGAGGATCGGCTATA-1", "iM.data_CAGAGCCCAGCGTTTA-1", "iM.data_CTCTGGTGTCATAACC-1", "iM.data_AACGGGAGTGGCTTAT-1", "iM.data_CTGTACCTCTAGCCAA-1", "iM.data_GGCAGTCAGTATGAAC-1", "iM.data_GTAGAAATCTTCGGTC-1", "iM.data_GTGTAACCACCGTCTT-1", "iM.data_CAGGGCTGTACCCGCA-1", "iM.data_TACGGTAAGCGAATGC-1", "iM.data_GAGACTTGTATCTCTT-1", "iM.data_ATTCTACTCAGCGGAA-1", "iM.data_AACACACCACAGTCGC-1", "iM.data_CTCCTTTAGTACAGAT-1", "iM.data_GTCCCATAGGATACGC-1", "iM.data_TAACACGTCCAAACCA-1", "iM.data_CATGGTAAGCTCTATG-1", "iM.data_ATGTCCCGTTTACGTG-1", "iM.data_GTTACAGTCGCCGTGA-1", "iM.data_TTACTGTTCTGTCTCG-1", "iM.data_GGAAGTGCATCGAACT-1", "iM.data_CAAGACTAGAGGTATT-1", "iM.data_TCTAACTGTTACCTGA-1", "iM.data_TACCCGTGTATCGGTT-1", "iM.data_AGTTAGCTCACTGATG-1", "iM.data_TCATTCAGTGTCATTG-1", "iM.data_GCCATGGCATGTTTGG-1", "iM.data_CACCGTTCACTTGTCC-1", "iM.data_AGAGAATAGAAGCCTG-1", "iM.data_GGGTGAAGTGCCGAAA-1", "iM.data_TTATTGCAGTGAGGTC-1", "iM.data_CCCAACTAGCTCTATG-1", "iM.data_CTATCCGTCTTTCGAT-1", "iM.data_TGTGAGTGTACCTTCC-1", "iM.data_CGGAACCGTGTTCGAT-1", "iM.data_GTAACCAGTTCTCGTC-1", "iM.data_GGATCTATCGGTCTAA-1", "iM.data_TTGCTGCGTGAGTAAT-1", "iM.data_GAAGTAATCGATTTCT-1", "iM.data_GTCATCCCACGCTGTG-1", "iM.data_ATTACTCTCGGATACT-1", "iM.data_CCACTTGCACGTACTA-1", "iM.data_AGCTACATCGACATAC-1", "iM.data_GGTAACTAGCCTGACC-1", "iM.data_GGGCTCAGTCTATGAC-1", "iM.data_CAGATACAGTTACGAA-1", "iM.data_GGATCTATCAAGTAAG-1", "iM.data_CTAACCCCATGGATCT-1", "iM.data_GGAGCAAGTAGAGTTA-1", "iM.data_AGCGCCAGTAGCACAG-1", "iM.data_CAGATTGCAAATAAGC-1", "iM.data_ATCCTATCATAGGAGC-1", "iM.data_TCTAACTGTTCTCTAT-1", "iM.data_TCATACTTCGAGAACG-1", "iM.data_TAATTCCAGCACCCAC-1", "iM.data_ACTCCCACATAGGTAA-1", "iM.data_CTTCTCTTCATTCCTA-1", "iM.data_GCCCAGATCGCATTAG-1", "iM.data_AGACCATCAACTTGCA-1", "iM.data_TCGCACTTCACCCTGT-1", "iM.data_TCTGTCGGTTTCTTAC-1", "iM.data_AGTTCGACAACGTTAC-1", "iM.data_CAGGGCTCACGTACTA-1", "iM.data_GTCCACTAGGCTTAGG-1", "iM.data_GGGCCATTCCCGTAAA-1", "iM.data_CATGGTATCTCGTTTA-1", "iM.data_TGGAACTAGGTACAAT-1", "iM.data_AACCTGACACTTGTGA-1", "iM.data_TCGCTTGGTGTTAACC-1", "iM.data_TGCACGGCAAGCGCAA-1", "iM.data_ATGGGAGGTAAGATAC-1", "iM.data_CGTCCATAGCCTCATA-1", "iM.data_ACGTCCTAGGTTAAAC-1", "iM.data_GGAACCCTCGCCTATC-1", "iM.data_GTAATGCAGAGCAAGA-1", "iM.data_CTACCTGCAGCCTATA-1", "iM.data_CTACTATTCGCTTACC-1", "iM.data_GTTGTAGAGGATGGCT-1", "iM.data_CAACGATTCGGATAAA-1", "iM.data_GGAGGATAGGCTAAAT-1", "iM.data_TTCAATCAGCAACAAT-1", "iM.data_CATCGGGTCTTTCTAG-1", "iM.data_AGACCCGCATGTCAGT-1", "iM.data_ATCATTCTCAACTTTC-1", "iM.data_GTTAGTGGTTACGTAC-1", "iM.data_TGATCAGAGTAAACAC-1", "iM.data_AGATAGACACAATCTG-1", "iM.data_GATCAGTCACATACTG-1", "iM.data_CTCATGCGTAGGCAAC-1", "iM.data_GGAATCTTCTGCGATA-1", "iM.data_CGGGCATGTCGCCACA-1", "iM.data_GGGTGTCGTTCTGACA-1", "iM.data_GCCAACGGTTTCTATC-1", "iM.data_CGTCCATAGGGCAACT-1", "iM.data_ACTTTGTGTTCGTTCC-1", "iM.data_CTCATGCCATTGTACG-1", "iM.data_CATCCACCACAAGCAG-1", "iM.data_CCACACTTCACACCGG-1", "iM.data_AGTTCGATCCCAAGCG-1", "iM.data_GACCTTCGTAACTTCG-1", "iM.data_AGTCAACAGTAGGAAG-1", "iM.data_AGACTCAAGGGTCACA-1", "iM.data_TGATGCACAGAACTTC-1", "iM.data_CATAGACGTTGGGCCT-1", "iM.data_CAGTTCCGTTACCCAA-1", "iM.data_CAGCGTGGTACGCTTA-1", "iM.data_AAGACTCCAAGCTACT-1", "iM.data_GGGCGTTGTCACGTGC-1", "iM.data_TCTCTGGCAAATACAG-1", "iM.data_CTGATCCGTAACGGTG-1", "iM.data_TGTTCTATCGCCCAGA-1", "iM.data_TTCGGTCAGCAGGCAT-1", "iM.data_AGGAGGTTCCTCATAT-1", "iM.data_TACGTCCCACGACCTG-1", "iM.data_CTTCTAATCCAGCACG-1", "iM.data_TATCAGGGTAGGTCAG-1", "iM.data_GACTGATCAGCTTTCC-1", "iM.data_TCAGTCCCAAGACCGA-1", "iM.data_CACCAAAAGGAGCAAA-1", "iM.data_TCCACCAGTCCGTTTC-1", "iM.data_TGAGGAGCATGAATCC-1", "iM.data_CCCTCTCTCAAGAGTA-1", "iM.data_TGAGGGACAGTAGGAC-1", "iM.data_TTACGTTTCTCCCTAG-1", "iM.data_CTCCTTTGTATCTTCT-1", "iM.data_GCAGGCTCACAGTCCG-1", "iM.data_GTAGCTAGTGAGATAT-1", "iM.data_ACCCAAACAGGAAGTC-1", "iM.data_TGCAGTATCCGGCAAC-1", "iM.data_CAATCGATCGATGGAG-1", "iM.data_GAATCACTCTGAGTCA-1", "iM.data_CCGGACACACGCGCTA-1", "iM.data_TTCGCTGTCCACGGAC-1", "iM.data_TGCCGAGCAGAATGTA-1", "iM.data_GCCATTCAGGGAGGTG-1", "iM.data_GCAGCTGAGACTCATC-1", "iM.data_CCTTTGGTCTCGCTCA-1", "iM.data_CCACGTTCAATTCACG-1", "iM.data_AAGGTAATCCCAATAG-1", "iM.data_TGACAGTAGCTATCCA-1", "iM.data_ATCAGGTTCCGGCAGT-1", "iM.data_GCAGCCATCTAGCCTC-1", "iM.data_TTGCCTGAGTGGATTA-1", "iM.data_TTTGGTTTCCTGGGTG-1", "iM.data_TCAATCTGTCGCACGT-1", "iM.data_AGTGCCGTCTTGCAAG-1", "iM.data_CCCTAACTCCGATCTC-1", "iM.data_CATGCTCTCTCACGAA-1", "iM.data_CCTTCAGTCAAAGGAT-1", "iM.data_AGGTTGTTCAGCGCGT-1", "iM.data_GACAGCCCAAAGCACG-1", "iM.data_ATTTCACGTTGCACGC-1", "iM.data_TCCTTCTTCCAACTGA-1", "iM.data_AATCACGCAAGCGATG-1", "iM.data_TCATTGTAGACGGTTG-1", "iM.data_TGTAAGCTCTCATTGT-1", "iM.data_TCCGTGTGTGCCTAAT-1", "iM.data_TATCGCCAGGAGATAG-1", "iM.data_TATCAGGGTGAGGATC-1", "iM.data_CGCAGGTAGAGCAGTC-1", "iM.data_TGCATGAAGGTTGGTG-1", "iM.data_GTGTTCCTCGGTAAGG-1", "iM.data_CAGATACTCAGTCTTT-1", "iM.data_TAGACTGAGCGCCCAT-1", "iM.data_TTCTAGTGTCAGTCCG-1", "iM.data_ATTCTACCATCATTGG-1", "iM.data_ATCGGATCAGCAGATG-1", "iM.data_AAAGGGCAGGGAGTTC-1", "iM.data_GAGTTTGAGGTTACAA-1", "iM.data_TTCCTCTTCGAGCCTG-1", "iM.data_TCATCATTCAGCATTG-1", "iM.data_ATGAGGGTCGCGTTTC-1", "iM.data_CACAGATGTAGCTGAG-1", "iM.data_TTTGACTAGCTACTAC-1", "iM.data_CCACGAGTCATCGGGC-1", "iM.data_GTTGAACCATGTTACG-1", "iM.data_AAACGAATCGACGATT-1", "iM.data_GTTACGACAGCTGTTA-1", "iM.data_TACCGAAGTGCAAGAC-1", "iM.data_GCCATTCTCCGTAGGC-1", "iM.data_CAGTTCCTCAGGAAGC-1", "iM.data_AGGATAAAGACTCATC-1", "iM.data_TCATCCGAGTTGGACG-1", "iM.data_CTTCGGTAGCCGGATA-1", "iM.data_GCACGGTTCATGAAAG-1", "iM.data_TAGCACATCGATAACC-1", "iM.data_ACCATTTTCCTTATCA-1", "iM.data_GACTCTCAGATTACCC-1", "iM.data_CTTTCAACAGCGGTCT-1", "iM.data_CCACGAGCAGCCTACG-1", "iM.data_ATTCTTGTCACCTCAC-1", "iM.data_GTGTTCCCACATTCTT-1", "iM.data_TTACAGGGTCCAGGTC-1", "iM.data_ATACCTTGTTCTCTAT-1", "iM.data_TTACTGTTCTAGTCAG-1", "iM.data_CATTCATGTTCGTGCG-1", "iM.data_TCTCTGGCAAGTCATC-1", "iM.data_GAGAAATAGGTGCAGT-1", "iM.data_CAGGGCTTCTCCGAAA-1", "iM.data_CTAACTTGTGTGATGG-1", "iM.data_CGATCGGGTGATGTAA-1", "iM.data_GGGTATTAGTAAATGC-1", "iM.data_CGTTGGGAGGCCTAGA-1", "iM.data_TGTTCTAGTACTAACC-1", "iM.data_GGATCTACAGTCTCTC-1", "iM.data_TGATGGTGTTGATCGT-1", "iM.data_AGCCAGCCATGACTAC-1", "iM.data_CACAGATAGCACGTCC-1", "iM.data_GTGCACGGTGGCCTCA-1", "iM.data_GATGACTAGCCAAGGT-1", "iM.data_GAGTTTGCAATAGGGC-1", "iM.data_GATTCTTGTAATGCGG-1", "iM.data_GTGAGCCCACCCAATA-1", "iM.data_GACGCTGAGAGCCGTA-1", "iM.data_ATTGTTCCAGAATTCC-1", "iM.data_GCATTAGTCATTTGCT-1", "iM.data_TATATCCCAGCCTATA-1", "iM.data_CCTAAGAAGAGAATCT-1", "iM.data_CATTTCATCACCGGGT-1", "iM.data_CAACAGTAGCGATGGT-1", "iM.data_CATAGACAGGGTAGCT-1", "iM.data_ATTCACTTCGCCCAGA-1", "iM.data_TGGCGTGGTAGGGAGG-1", "iM.data_TTCCACGCAACGAGGT-1", "iM.data_AGTACTGTCCCATACC-1", "iM.data_ATGCGATCACTCCTGT-1", "iM.data_TACTTGTAGACCTTTG-1", "iM.data_CAGGTATAGAGTCACG-1", "iM.data_TTTACCAAGGTACAAT-1", "iM.data_TCACTCGCAAATTAGG-1", "iM.data_CTGTAGAGTATAGGGC-1", "iM.data_GAGTCTACACAAATAG-1", "iM.data_GGTTCTCTCAGACTGT-1", "iM.data_GCCTGTTCAGCTACAT-1", "iM.data_AAGCCATTCGCTCTAC-1", "iM.data_CCTTCAGAGAATAACC-1", "iM.data_CTGCCTACAGGCTATT-1", "iM.data_TCACTCGTCCCAGGAC-1", "iM.data_GGGTATTAGGCGAACT-1", "iM.data_TGGAGAGGTTCCTAGA-1", "iM.data_ACCTGAAGTCCAAATC-1", "iM.data_AGTACTGTCCACCCTA-1", "iM.data_TCCCAGTAGAGATGCC-1", "iM.data_TGAACGTGTTAAGGGC-1", "iM.data_GGTAGAGCAGTATACC-1", "iM.data_ATCCACCCAAGGGCAT-1", "iM.data_GCAACCGGTGGGATTG-1", "iM.data_ACTCCCAAGTATGGAT-1", "iM.data_ACATCGAGTGTTAGCT-1", "iM.data_ATCTTCAAGTCATACC-1", "iM.data_CGGGCATAGACCATTC-1", "iM.data_TAAGTCGAGTCGTTAC-1", "iM.data_AGCCACGGTCTAATCG-1", "iM.data_GTCATGAGTATGGGAC-1", "iM.data_CTATAGGCACAGCATT-1", "iM.data_AGGTCTAGTCTACATG-1", "iM.data_CTTTCGGGTCGGTGAA-1", "iM.data_CTGCAGGTCAACGAGG-1", "iM.data_GCGTGCATCTACGCGG-1", "iM.data_CTGTGGGGTATGCTTG-1", "iM.data_CATGCTCCAGCTGCCA-1", "iM.data_GATCAGTCAACTCGTA-1", "iM.data_TGCAGATAGTTATGGA-1", "iM.data_AACAACCCAATGAAAC-1", "iM.data_GGGAAGTGTGCTCGTG-1", "iM.data_CTACATTGTCCTCAGG-1", "iM.data_TCATGGACACGCGCAT-1", "iM.data_AGTGCCGTCTTTGCGC-1", "iM.data_ACTTAGGGTTCTCGCT-1", "iM.data_TCTACATGTGCACAAG-1", "iM.data_CTGCAGGAGGGTGGGA-1", "iM.data_GTTACCCTCCCAACTC-1", "iM.data_TTCATTGTCGTCCTCA-1", "iM.data_CCTTCAGGTAGTTCCA-1", "iM.data_GAGGCCTGTCTGTCAA-1", "iM.data_AGGTAGGTCCCGAACG-1", "iM.data_AGTGATCGTATTAAGG-1", "iM.data_CGGAATTTCACACCGG-1", "iM.data_GCCATTCTCACCGCTT-1", "iM.data_CTCTCAGCACTGATTG-1", "iM.data_AGTAACCTCTCTCGAC-1", "iM.data_TCGCTTGTCTCGGGAC-1", "iM.data_TATTTCGCAGATACCT-1", "iM.data_AGAGAGCAGCCTCAAT-1", "iM.data_CTCGAGGCAATTGCTG-1", "iM.data_ACAGGGAGTGAATGAT-1", "iM.data_GTTACCCGTGACACAG-1", "iM.data_TCCTGCACAATGACCT-1", "iM.data_CCGCAAGGTATCGGTT-1", "iM.data_ATCGGATCAGGTCCCA-1", "iM.data_TGCTGAAAGGATCACG-1", "iM.data_TACACCCCACGGTAGA-1", "iM.data_ATCGATGAGCTGGCCT-1", "iM.data_CACAGGCCACCGTGGT-1", "iM.data_TCACACCGTCTGCGCA-1", "iM.data_GTTATGGGTAAGTTGA-1", "iM.data_TTCATTGAGTCACTCA-1", "iM.data_CATTCTACAGGCATTT-1", "iM.data_AAGCGTTCAGCGTACC-1", "iM.data_ACGTCCTTCCACGTGG-1", "iM.data_TATGTTCAGACATAGT-1", "iM.data_TTTACCATCTAACACG-1", "iM.data_AAGATAGTCTTCCGTG-1", "iM.data_TCTTTGAGTTGCAACT-1", "iM.data_ATTCGTTAGTAGCATA-1", "iM.data_CTCCGATTCGCCTCTA-1", "iM.data_GACCCAGAGAGATGCC-1", "iM.data_AGCTCAAGTAAGACCG-1", "iM.data_ATTCACTGTCACTCAA-1", "iM.data_CTCAACCTCCAATCCC-1", "iM.data_TCTACATGTCCTTAAG-1", "iM.data_GACCCAGGTCATCTAG-1", "iM.data_ACGGTCGCAAATAGCA-1", "iM.data_AGACCCGGTACGACTT-1", "iM.data_ATGAGGGGTCCATCTC-1", "iM.data_CATTCCGCACCAGTTA-1", "iM.data_CTTCTCTTCTACCACC-1", "iM.data_GATGAGGTCCCAACTC-1", "iM.data_AAGAACACACTAGTAC-1", "iM.data_CGATGGCGTACAACGG-1", "iM.data_CCCTTAGGTTTGTTGG-1", "iM.data_CACTGGGAGGCATCTT-1", "iM.data_TAGGGTTAGTGTAGAT-1", "iM.data_GGAACCCTCACATCAG-1", "iM.data_TAGGTTGCAGCGTTGC-1", "iM.data_AATCGACCACGGATCC-1", "iM.data_AGGGTTTAGGCGACAT-1", "iM.data_CACCGTTCAACGACAG-1", "iM.data_CTCCGATCAAACACGG-1", "iM.data_GCATGATAGCTGAGCA-1", "iM.data_GAACGTTTCTGCACCT-1", "iM.data_TTTACGTGTTGCCTAA-1", "iM.data_CATGAGTTCATTGTTC-1", "iM.data_TAGTGCAGTTCGTACA-1", "iM.data_CCTCAACCACAGCATT-1", "iM.data_CTAACTTTCAAGATAG-1", "iM.data_TACATTCAGCTTGTTG-1", "iM.data_TTGCCTGCAACTTGGT-1", "iM.data_AGCTTCCGTCTCACGG-1", "iM.data_GACCAATCACTTACAG-1", "iM.data_AGTTAGCCAATACCTG-1", "iM.data_GGGTTTATCTAAGCGT-1", "iM.data_GAAGCGAGTCGTCATA-1", "iM.data_ATCCTATCACAGTCGC-1", "iM.data_ATGGGAGGTCTACACA-1", "iM.data_CAGATCAGTGGAACCA-1", "iM.data_GAGTCATTCGTCTCAC-1", "iM.data_CTGTGGGCAAATGATG-1", "iM.data_AACGGGAAGGAGGTTC-1", "iM.data_GATGAGGGTTACGATC-1", "iM.data_TAAGCCATCTCTCCGA-1", "iM.data_AGGCTGCAGAGGGCGA-1", "iM.data_AGCCAGCAGACAGCGT-1", "iM.data_TACTGCCGTTCAAAGA-1", "iM.data_TTGTGTTCATGGAATA-1", "iM.data_ATCGGATTCCATTTAC-1", "iM.data_CAAGACTGTAACAGGC-1", "iM.data_TCATGCCTCGGCATCG-1", "iM.data_TTTGACTCAAAGGGTC-1", "iM.data_ATACCGATCGTCAACA-1", "iM.data_TATCTGTTCACCTTAT-1", "iM.data_ATTCACTCAGTTGGTT-1", "iM.data_TGTCAGAGTCCTGAAT-1", "iM.data_TGGCGTGAGAAACTAC-1", "iM.data_GACTATGAGACTCCGC-1", "iM.data_CCCTCAACAGCACGAA-1", "iM.data_TCGAACACACAAATAG-1", "iM.data_CTCAGAAAGTGGTTCT-1", "iM.data_CTCATGCGTCTTCGAA-1", "iM.data_TGGAGAGAGAGCCGTA-1", "iM.data_TATCTGTGTATGATCC-1", "iM.data_TGACAGTTCTTAAGGC-1", "iM.data_CTCCTTTTCCGCTGTT-1", "iM.data_CCTCTAGTCCTTATCA-1", "iM.data_GTTGCTCTCGAGTTGT-1", "iM.data_TGAATGCTCTCTCAAT-1", "iM.data_ACTCTCGAGTAAGAGG-1", "iM.data_CGAAGGAAGTGGCAGT-1", "iM.data_GTTGAACCAAAGGCGT-1", "iM.data_CCCAACTCATGAAGCG-1", "iM.data_CATCCACCATAACAGA-1", "iM.data_TGACAGTTCGCCTATC-1", "iM.data_GACTATGCACACACGC-1", "iM.data_GCCATTCTCACCGACG-1", "iM.data_GAGTTTGTCCATAAGC-1", "iM.data_AGCCAATCATCTCATT-1", "iM.data_ATTCGTTCAAGATCCT-1", "iM.data_GAAATGACAAGCCCAC-1", "iM.data_GACCAATCAATAGTGA-1", "iM.data_GCGTGCAAGCGCGTTC-1", "iM.data_CCTCTAGGTACCATAC-1", "iM.data_AAGACAAAGCAAATGT-1", "iM.data_AGAAGTATCTGGAAGG-1", "iM.data_CCATCACCACATGACT-1", "iM.data_TCATGCCTCATCTATC-1", "iM.data_GTTACGATCACTGTCC-1", "iM.data_CAGCAATAGACCTCCG-1", "iM.data_GGAGATGAGCACGTCC-1", "iM.data_TTCGGTCCAGGACATG-1", "iM.data_CCTAACCGTAGGCAAC-1", "iM.data_CTAGACAGTCTACGAT-1", "iM.data_GGGATGAGTACATACC-1", "iM.data_TGCAGGCCACAGTATC-1", "iM.data_AGTAACCAGTAGACAT-1", "iM.data_ATACTTCAGTCTGGTT-1", "iM.data_GTTATGGCACCGTCTT-1", "iM.data_ACCGTTCTCAGAGTTC-1", "iM.data_CAGCAGCCATCCGATA-1", "iM.data_TCCAGAAGTGACGTCC-1", "iM.data_CCGGTGAGTGCGTTTA-1", "iM.data_GTTGCGGCAATTTCGG-1", "iM.data_TCTGGCTAGCCTCTTC-1", "iM.data_AGGATAACAAGGGCAT-1", "iM.data_ATTTCACTCCCAGGCA-1", "iM.data_TTGAACGCAAACCGGA-1", "iM.data_TCTTTGAGTCCAGTTA-1", "iM.data_GGAATGGCACTTGAAC-1", "iM.data_ATTGGGTGTACAGGTG-1", "iM.data_TACGCTCCAACCCTAA-1", "iM.data_ATGAAAGGTGCCCAGT-1", "iM.data_ACTATTCCACCTGCTT-1", "iM.data_CCACACTCATGAGAAT-1", "iM.data_CTCCACATCTATCGCC-1", "iM.data_CATTCATCATGGGAAC-1", "iM.data_GTCTACCAGCACGTCC-1", "iM.data_ATTGGGTCATAGGTTC-1", "iM.data_TCAGTGATCAGTGGGA-1", "iM.data_GGGTATTAGTGAACAT-1", "iM.data_CAGCCAGAGATGATTG-1", "iM.data_TCACGGGGTATTTCGG-1", "iM.data_GTGGGAACAATTCGTG-1", "iM.data_GAAGCCCTCTGCTAGA-1", "iM.data_ATCACAGAGATTAGTG-1", "iM.data_TCACGGGGTGGTTTAC-1", "iM.data_GAGTTACTCTAGTGTG-1", "iM.data_CAGCACGTCGGCCCAA-1", "iM.data_ACGTAACCACAAGTTC-1", "iM.data_TAATTCCCAAGGTCGA-1", "iM.data_TCCTTTCAGACCACGA-1", "iM.data_TAGGGTTCAAACACGG-1", "iM.data_TGCTGAATCAATCCGA-1", "iM.data_ATTCCCGTCGAACCAT-1", "iM.data_TGGAGAGCACGAGGAT-1", "iM.data_AGATAGACACCGAATT-1", "iM.data_GCATCTCGTCTCGGAC-1", "iM.data_CGTAGTAGTGTAGTGG-1", "iM.data_TAAGCGTGTCTCCCTA-1", "iM.data_TTACAGGTCCGCACGA-1", "iM.data_CCGTTCAAGTTGTAAG-1", "iM.data_AATGACCCAATCTCTT-1", "iM.data_AGGGCCTCATACAGCT-1", "iM.data_CACAACAAGCGACTAG-1", "iM.data_GCGAGAAAGTAAGGGA-1", "iM.data_ATGAGTCCACTCACTC-1", "iM.data_TATTCCAAGGGACACT-1", "iM.data_CTCCGATTCACATCAG-1", "iM.data_ACCCTTGTCGTAACAC-1", "iM.data_GAGGCCTCACCTGAAT-1", "iM.data_GTGAGCCAGTCCCTAA-1", "iM.data_TTACGCCTCTTGGTCC-1", "iM.data_GCCAACGGTGAATAAC-1", "iM.data_GTTAGACTCTCCCTAG-1", "iM.data_GACTCTCAGACTTGTC-1", "iM.data_AGAACCTTCCCATTTA-1", "iM.data_CATTGAGTCCTTCTTC-1", "iM.data_GGAGAACTCCCTCTCC-1", "iM.data_CGAGTGCGTCCACTCT-1", "iM.data_ATCGGCGGTACGGCAA-1", "iM.data_CCACCATTCTTTACAC-1", "iM.data_CTCCCTCTCGCTTTAT-1", "iM.data_TTTGATCCATTCTGTT-1", "iM.data_CCTTCAGAGAACAGGA-1", "iM.data_GCGGAAAAGTATCTGC-1", "iM.data_GGAGAACTCCGTGGCA-1", "iM.data_CATCGCTTCGCTGTCT-1", "iM.data_GAAGCCCTCCTCACTG-1", "iM.data_CGGAGAAGTACTCGTA-1", "iM.data_CATTCCGCACGGTCTG-1", "iM.data_TTTACTGTCGTAGTCA-1", "iM.data_GCACTAACACCATAAC-1", "iM.data_GGTGTCGCAACCGTGC-1", "iM.data_GTTATGGTCACTAGCA-1", "iM.data_CGAGAAGCACGACTAT-1", "iM.data_TTGAGTGCATACCACA-1", "iM.data_TCAGGGCGTATCAAGA-1", "iM.data_GTCATCCCAGTGACCC-1", "iM.data_GTGCAGCTCCCATTCG-1", "iM.data_TCCTCGAAGGGAGGTG-1", "iM.data_AGCCAGCCACATGTTG-1", "iM.data_AGCTTCCAGGTCTGGA-1", "iM.data_TGTACAGAGCACTAAA-1", "iM.data_ATTCCTACAGGCACTC-1", "iM.data_ACCCAAACATGACGAG-1", "iM.data_AAAGTCCAGTGTCATC-1", "iM.data_ATCGCCTTCACGGGCT-1", "iM.data_GTAGTACGTACGGTTT-1", "iM.data_ATTGGGTCAAAGGGCT-1", "iM.data_GTAGATCAGGTCTGGA-1", "iM.data_GGGTGAACACAAAGTA-1", "iM.data_GTCTAGATCAAAGCCT-1", "iM.data_GGGTGTCAGCTGAGCA-1", "iM.data_TCCATGCCATGTGCTA-1", "iM.data_CATTTCAGTACGACTT-1", "iM.data_TCCTCGAAGTTACGAA-1", "iM.data_TTCCACGTCCCTATTA-1", "iM.data_TGCAGTAGTCGAACGA-1", "iM.data_TGATGCACAGTAGTTC-1", "iM.data_TCGGGCAGTCGGCCTA-1", "iM.data_TCTCACGAGAGTAACT-1", "iM.data_CCTCAGTGTTTACTTC-1", "iM.data_TACATTCGTGAACGGT-1", "iM.data_TGGGCTGCAGTTCTAG-1", "iM.data_CCACAAACAACCCGCA-1", "iM.data_CTCTCAGGTCTCACAA-1", "iM.data_AGATCCACAAGTGGAC-1", "iM.data_TGTTGAGCATCTATCT-1", "iM.data_ACCACAACATGACACT-1", "iM.data_AGTGACTTCTACTATC-1", "iM.data_TTGTGTTTCTAGTCAG-1", "iM.data_TCAGCCTAGCTCTTCC-1", "iM.data_TCGTAGACAGCCGTTG-1", "iM.data_GACCCTTCAATTGAGA-1", "iM.data_TCAATTCTCTTTCGAT-1", "iM.data_GTGTAACTCACCATCC-1", "iM.data_ACCCAAACAAATGAAC-1", "iM.data_TCATTCACAACACAGG-1", "iM.data_TCACATTTCCTACAAG-1", "iM.data_ATCCGTCCAAGTTTGC-1", "iM.data_CTGAATGCAGACTGCC-1", "iM.data_CTCAGTCTCCCGAACG-1", "iM.data_CGCATAAGTTCGGCCA-1", "iM.data_GTAACCATCTCCGTGT-1", "iM.data_AAGACTCTCGCTACAA-1", "iM.data_AAGAACAGTCCAAATC-1", "iM.data_TATTCCATCTGGCCTT-1", "iM.data_TTCCGTGGTAACTTCG-1", "iM.data_CGAGTTATCAAGCTTG-1", "iM.data_ACCACAAGTAACACGG-1", "iM.data_TAAGCGTTCTTCGACC-1", "iM.data_GGAATCTTCTAGACAC-1", "iM.data_GTCATGACAACTGGTT-1", "iM.data_AGGAAATGTGGAACAC-1", "iM.data_CGGAGAACATGAAGCG-1", "iM.data_AAGTGAAGTCTAGGTT-1", "iM.data_GAAGGACCAATACGAA-1", "iM.data_GAAGGGTTCCGGTAAT-1", "iM.data_GCACATAAGCTGGCTC-1", "iM.data_GACGCTGCAGAGTCAG-1", "iM.data_TAGGAGGCACCTATCC-1", "iM.data_TCGCACTGTCACGTGC-1", "iM.data_CATCCACCAAATTGGA-1", "iM.data_TTTGTTGGTAAGCTCT-1", "iM.data_CTTCCGACAAATGAGT-1", "iM.data_CGATCGGCATGTACGT-1", "iM.data_ACACAGTGTAGGGTAC-1", "iM.data_ACCAACAAGCCGATCC-1", "iM.data_CAACGATAGTTGTCAC-1", "iM.data_AGGACTTAGACGACTG-1", "iM.data_ATGGTTGGTAACATAG-1", "iM.data_CTATCCGCAAAGCGTG-1", "iM.data_GTGTGGCTCCCAGCGA-1", "iM.data_CAATCGAGTATTTCGG-1", "iM.data_GCAGGCTTCTTTGCAT-1", "iM.data_GCAGGCTTCATTCCTA-1", "iM.data_GAGGGTACACGCGCTA-1", "iM.data_TACGCTCAGGCATGGT-1", "iM.data_GCCAGGTAGAGGTTAT-1", "iM.data_CAGCACGCATAATGCC-1", "iM.data_CAGAGCCAGATGATTG-1", "iM.data_CCTCCAAGTGTATTGC-1", "iM.data_AGATGAATCGAACGGA-1", "iM.data_CCACACTTCTGACCCT-1", "iM.data_AATGCCACATGGCCCA-1", "iM.data_AGCCAGCCAATGACCT-1", "iM.data_CTAACCCCAGAGTCTT-1", "iM.data_CATTCCGTCGGCTTGG-1", "iM.data_AGTACCATCGCTGACG-1", "iM.data_AAGTGAAGTCAAGGCA-1", "iM.data_ATGTCTTGTTCTCACC-1", "iM.data_ACCATTTTCCGTAGTA-1", "iM.data_CAAAGAAGTAGAGACC-1", "iM.data_ACTCCCACACGAAGAC-1", "iM.data_CATTCTAAGAGTCCGA-1", "iM.data_ATCGATGCATTCATCT-1", "iM.data_ATGAGTCCACATATCG-1", "iM.data_CACCGTTAGGACTATA-1", "iM.data_TCGATTTGTGCGAACA-1", "iM.data_ACATCCCTCATCCTGC-1", "iM.data_TTCAGGAGTTGTCATG-1", "iM.data_AGGGTGAGTGGTTCTA-1", "iM.data_CCCTGATAGCCTGGAA-1", "iM.data_AAACGCTTCATGTCTT-1", "iM.data_CCACGTTGTGTGTCGC-1", "iM.data_AACGTCAGTTGCTCGG-1", "iM.data_TTTGATCGTCCTACGG-1", "iM.data_GGGTCACAGCAGGCAT-1", "iM.data_ATTCCATCAGCCTACG-1", "iM.data_TACACCCTCAAGGAGC-1", "iM.data_CCGATGGTCACGTCCT-1", "iM.data_GAAATGAAGCCAAGCA-1", "iM.data_GAAACCTTCCGCCTAT-1", "iM.data_TGAGTCAGTGACTAAA-1", "iM.data_TCAATCTAGTGCACAG-1", "iM.data_CCTACGTTCACTACGA-1", "iM.data_GCCGATGAGGTTCCAT-1", "iM.data_TCACTCGGTCACAGAG-1", "iM.data_TGCGATACAGAACATA-1", "iM.data_CCTCCAAAGTTCTCTT-1", "iM.data_TCCATCGCATAAGCAA-1", "iM.data_TAATTCCGTTGCTCCT-1", "iM.data_AGCCAATGTAAGATTG-1", "iM.data_CGAAGTTTCAGTCATG-1", "iM.data_CTGCATCAGCTGACCC-1", "iM.data_GACTCAACATGTGGCC-1", "iM.data_AATTTCCTCTCACTCG-1", "iM.data_TGTTTGTAGTACAGAT-1", "iM.data_GAGTTGTCAGGGAATC-1", "iM.data_ATGGGTTCACCTCTAC-1", "iM.data_GTAGGTTAGTGGTGGT-1", "iM.data_AACAAAGTCCGGACGT-1", "iM.data_GAGTTACAGAAACCAT-1", "iM.data_TGGGAGATCACCTGGG-1", "iM.data_GTGTTCCGTGCAACGA-1", "iM.data_CATTCTATCGACCACG-1", "iM.data_TTTGGAGCAGCACAAG-1", "iM.data_ATCTCTACAGTTGCGC-1", "iM.data_AGCGCCAGTCCCGTGA-1", "iM.data_GAATCACGTATCCCTC-1", "iM.data_CTACGGGGTTTGTTGG-1", "iM.data_CCACCATAGCGGACAT-1", "iM.data_GATGACTCAAGTCGTT-1", "iM.data_TCCCACACACGCGTCA-1", "iM.data_TGCCGAGGTTGCTGAT-1", "iM.data_TCGATTTAGCTAGTTC-1", "iM.data_CCGGACACATCAGCGC-1", "iM.data_AGACCATCATTGAAGA-1", "iM.data_TACACCCTCTGGGATT-1", "iM.data_TTGGATGCAGCGACAA-1", "iM.data_AGGGTGAAGTAGCAAT-1", "iM.data_CGGTCAGGTTGGTACT-1", "iM.data_GTAATGCTCGGCACTG-1", "iM.data_CGACAGCCACTCCGGA-1", "iM.data_CCACGAGAGTTCCAGT-1", "iM.data_GAGAGGTTCCAAGCCG-1", "iM.data_CTGAGGCAGTCTCTGA-1", "iM.data_ACCTGAAGTAGTGGCA-1", "iM.data_TCCGATCCAGCAGAAC-1", "iM.data_TCAGTCCAGCCTCCAG-1", "iM.data_GATGAGGCAACTGAAA-1", "iM.data_GATGAGGCAAGCGGAT-1", "iM.data_CTGTAGACACGTGTGC-1", "iM.data_TCATCCGGTAGTGATA-1", "iM.data_ATCGTGATCGTCTAAG-1", "iM.data_GCTACAATCCTGCTAC-1", "iM.data_GCTACCTAGTATGGAT-1", "iM.data_ATTCAGGCACCAGCCA-1", "iM.data_ACCCTCATCTTGTGCC-1", "iM.data_ACCACAAGTAACGTTC-1", "iM.data_GGGCTACAGATGGCAC-1", "iM.data_GTCATGACAACCGATT-1", "iM.data_GGTAATCTCGATACGT-1", "iM.data_CAGCACGCAACCGATT-1", "iM.data_AGTAGTCAGAGCAACC-1", "iM.data_ATCCCTGTCGGTCGAC-1", "iM.data_GGGAGATTCTTACCGC-1", "iM.data_TGTAGACGTGACCTGC-1", "iM.data_AATAGAGCACCAATTG-1", "iM.data_CTCCCAAGTCATTGCA-1", "iM.data_ATTACCTAGCATGAAT-1", "iM.data_AGCGTATTCGTGTTCC-1", "iM.data_GTAATCGGTACTGAGG-1", "iM.data_TTCCTAACAACCGATT-1", "iM.data_TGCATCCTCCCTAGGG-1", "iM.data_TTGCCTGAGATGAACT-1", "iM.data_TGGTACAGTCTACATG-1", "iM.data_CCTACGTCATCAGTGT-1", "iM.data_CTTGATTTCGACATAC-1", "iM.data_GGGTCTGAGTAAACAC-1", "iM.data_GCTACCTAGTGCAAAT-1", "iM.data_CGTAGTATCATGCAGT-1", "iM.data_AGGTCATCACTCCACT-1", "iM.data_CAAGAGGTCAAGGACG-1", "iM.data_CATACCCTCTATTCGT-1", "iM.data_TTGGGTAAGGCATCTT-1", "iM.data_GGGTATTAGAGCATCG-1", "iM.data_CTAGGTAAGCTCCACG-1", "iM.data_TATCTGTGTTAGGCTT-1", "iM.data_GATAGCTCACAAATCC-1", "iM.data_AATGACCCAGAGTGTG-1", "iM.data_CCTACGTGTTGTCCCT-1", "iM.data_CAATACGCATTGAAAG-1", "iM.data_TGGCGTGTCTCGTGGG-1", "iM.data_ATAGACCCAGTTTCAG-1", "iM.data_ACCTACCTCTTACGTT-1", "iM.data_TCTACCGTCGCTAATG-1", "iM.data_GAATCACTCTTTCTAG-1", "iM.data_AGACTCAGTTGCCTAA-1", "iM.data_CATCCGTAGGGATCTG-1", "iM.data_TAACGACCATTGGGAG-1", "iM.data_GGGACAAGTCCCAAAT-1", "iM.data_GTAGAGGAGTATGGAT-1", "iM.data_CACAGGCCAGGTCTCG-1", "iM.data_AGTTCGAGTGAATAAC-1", "iM.data_CTCCGATCATTCTTCA-1", "iM.data_TCTCTGGCACAATGAA-1", "iM.data_CCTTCAGGTAGTCTTG-1", "iM.data_TGGTACAAGCGGACAT-1", "iM.data_AGGGTCCGTGTTGCCG-1", "iM.data_TTCCGTGGTGAGCTCC-1", "iM.data_AAACGCTGTGACAGGT-1", "iM.data_ACGTCCTCACTTCCTG-1", "iM.data_GCAACCGTCGGAACTT-1", "iM.data_TATTCCACACACCTTC-1", "iM.data_GCTGGGTTCCCATTCG-1", "iM.data_ACCACAAGTACCACGC-1", "iM.data_CTAACCCGTCTCCCTA-1", "iM.data_ATCGCCTTCGAACACT-1", "iM.data_ATGCGATTCGAGGCAA-1", "iM.data_CGAGTGCTCTTGGTCC-1", "iM.data_TGTACAGAGAGAGGGC-1", "iM.data_CCATAAGTCTTTCTAG-1", "iM.data_TACACCCCAGAGTAAT-1", "iM.data_CTATCTAAGCGGACAT-1", "iM.data_GGGTCTGCAACGGTAG-1", "iM.data_TCATCATCACTGAGGA-1", "iM.data_CCTGTTGAGGGCAGTT-1", "iM.data_ATCGCCTGTGTCCATA-1", "iM.data_AAAGGGCCAACGCCCA-1", "iM.data_AGCCACGAGTCAACAA-1", "iM.data_GCTCAAAAGGTAAGTT-1", "iM.data_CTCAGTCAGGACTAAT-1", "iM.data_CTCAGAACAAGCGAGT-1", "iM.data_AGGCTGCAGGCATTTC-1", "iM.data_GTGTTCCCATCACAGT-1", "iM.data_TCATGGATCGACCATA-1", "iM.data_CATTGAGCATGGCCAC-1", "iM.data_CACGAATCATTCACAG-1", "iM.data_TGTCAGAAGTCTTGGT-1", "iM.data_CCACGAGAGGCACTAG-1", "iM.data_AGATCCAGTACTGTTG-1", "iM.data_TTCCGTGTCCATTGGA-1", "iM.data_ACCTGTCTCGTGCACG-1", "iM.data_AGAGAATCAGTTCACA-1", "iM.data_ATGAGTCCACGACAAG-1", "iM.data_TCAAGTGGTCAACGCC-1", "iM.data_TGCGATACAGACACAG-1", "iM.data_CACTAAGAGAAGTATC-1", "iM.data_CGAGAAGTCTTTCTAG-1", "iM.data_ATCGTCCCAGCACACC-1", "iM.data_GACGCTGCAGGGAATC-1", "iM.data_TGTTCCGGTACGATTC-1", "iM.data_TGGTACATCACTCGAA-1", "iM.data_TAGACCATCACACCGG-1", "iM.data_TCATATCGTATCCCAA-1", "iM.data_CTTCAATTCGAACGGA-1", "iM.data_TCCATGCTCGACATCA-1", "iM.data_GGCTGTGTCACTTTGT-1", "iM.data_AAAGTCCTCGTAATGC-1", "iM.data_CCACACTAGCAACAGC-1", "iM.data_CAGTGCGCATATTCGG-1", "iM.data_AGACCCGTCCTACACC-1", "iM.data_ATTCGTTTCTCACCCA-1", "iM.data_GCAGTTAGTTCCGCGA-1", "iM.data_CCACCATGTCAAGTTC-1", "iM.data_CATAGACAGACGGTCA-1", "iM.data_AGCCACGAGAGGGTCT-1", "iM.data_GCCCAGAAGCCATTTG-1", "iM.data_CAATTTCGTTGCGAAG-1", "iM.data_CGTTAGATCGCCTTGT-1", "iM.data_TTGGGCGGTCTGTAAC-1", "iM.data_GAGTTACGTCTCTCTG-1", "iM.data_TATACCTCAACATCGT-1", "iM.data_GAACACTGTGGAGAAA-1", "iM.data_TCTCCGAAGCCTATTG-1", "iM.data_TATGTTCAGGGTTGCA-1", "iM.data_CACTGAAGTACGTGAG-1", "iM.data_TCAGTGACAGAGGTTG-1", "iM.data_GAGAAATTCGTTCATT-1", "iM.data_TCTCACGTCGGAATGG-1", "iM.data_TTTACGTCAGACGCTC-1", "iM.data_TGACCCTCAGACACAG-1", "iM.data_TATTTCGGTTTACCAG-1", "iM.data_TCTGCCATCAGACTGT-1", "iM.data_ATAGGCTTCATTCGGA-1", "iM.data_TCCTCTTCAGGTCCCA-1", "iM.data_GTGCTGGTCGACGTCG-1", "iM.data_TCAATCTTCGCTGCGA-1", "iM.data_CATTCCGTCGCGTGCA-1", "iM.data_GGGTTATTCAAGCCAT-1", "iM.data_ACCAACAGTGAGCGAT-1", "iM.data_ACATCCCGTGGATCAG-1", "iM.data_TGAGTCAGTCTTCATT-1", "iM.data_TTCGATTAGCGTACAG-1", "iM.data_AATTCCTCAGAGTGAC-1", "iM.data_GGAACCCCAGAGTTCT-1", "iM.data_TCAGTCCTCGTGAGAG-1", "iM.data_CCTTCAGGTCACGCTG-1", "iM.data_CTAGGTAAGACATAAC-1", "iM.data_TGTTCCGCACAGACGA-1", "iM.data_GATCGTAGTCCACGCA-1", "iM.data_CATACTTGTCGCATGC-1", "iM.data_CAACGATTCCGTGGGT-1", "iM.data_GCCCAGAAGCTCGGCT-1", "iM.data_CCCGAAGCAGTTGCGC-1", "iM.data_AAAGTGATCTAGTGAC-1", "iM.data_AGTTCGAGTAATTGGA-1", "iM.data_CATACCCAGAGAACCC-1", "iM.data_AGACAAACAGACAAAT-1", "iM.data_GTTATGGTCTGGACTA-1", "iM.data_ACACCAAGTCCGCAGT-1", "iM.data_TTACCATGTGTAACGG-1", "iM.data_ACACAGTCATTCTCTA-1", "iM.data_TCCTCGACACTGGCGT-1", "iM.data_GGGAAGTGTTCCAGGC-1", "iM.data_GTTGCGGGTCGAAACG-1", "iM.data_TCGAAGTAGTCAACAA-1", "iM.data_TGAGGGATCACTACTT-1", "iM.data_CAGAGCCAGACTCCGC-1", "iM.data_ATGTCTTTCTCGCTCA-1", "iM.data_ACATGCACACTCCACT-1", "iM.data_CCTGTTGTCAAGATAG-1", "iM.data_ATAGGCTTCAATCCGA-1", "iM.data_AGCCAATTCTCCAATT-1", "iM.data_CGGAATTCACATGACT-1", "iM.data_TGGATGTCAGGTTCGC-1", "iM.data_CAATGACGTTGTGTTG-1", "iM.data_GTAAGTCGTCGACTTA-1", "iM.data_CGATCGGGTCACCACG-1", "iM.data_CCATCACTCGATGCAT-1", "iM.data_CGAGAAGAGCAGCCTC-1", "iM.data_AGCTCAAGTAGTCTGT-1", "iM.data_TTGGGATTCCCTCGAT-1", "iM.data_GGGCCATTCGATCCAA-1", "iM.data_GGGACAACACAGTATC-1", "iM.data_CGGAACCTCCACGGAC-1", "iM.data_AGTCTCCTCCTCAGAA-1", "iM.data_GCAACATGTAGGAAAG-1", "iM.data_TTCCTAAGTCTTCATT-1", "iM.data_TCCTAATCAGCAGTTT-1", "iM.data_TCAATTCGTCCTTGTC-1", "iM.data_ACCACAACAGCTGAGA-1", "iM.data_AGGAGGTGTATGAGAT-1", "iM.data_GTAGGTTCAACCCTCT-1", "iM.data_GGTAGAGAGTACGTCT-1", "iM.data_CAGCAATTCAACTTTC-1", "iM.data_GGGTTTAGTGAGGCAT-1", "iM.data_TACTTACCACAGAGCA-1", "iM.data_TATCGCCAGAAGTATC-1", "iM.data_GACCGTGAGGGACAGG-1", "iM.data_CCTTGTGCAGTGTATC-1", "iM.data_TTCGCTGAGAGTTGAT-1", "iM.data_TGGAGGAGTATGGTAA-1", "iM.data_TCTATACTCGACATAC-1", "iM.data_TATCGCCTCTTTGATC-1", "iM.data_CCTCCTCCATAGAGGC-1", "iM.data_GTTGTCCTCCCTCGTA-1", "iM.data_CTCCGATTCTCGTGAA-1", "iM.data_TGCTCCACATACAGAA-1", "iM.data_TTGCTGCTCTCTCAAT-1", "iM.data_GTGAGGATCTATTTCG-1", "iM.data_TCCTCTTGTTCTCCAC-1", "iM.data_CCCTGATAGCGACTTT-1", "iM.data_AGACACTGTGTTCATG-1", "iM.data_AGAACCTCATACCAGT-1", "iM.data_GAGTTGTCACTAACGT-1", "iM.data_TTTCATGCAGCATCTA-1", "iM.data_CCATCACTCTTTCAGT-1", "iM.data_ACTGTCCTCAAGAGGC-1", "iM.data_ACCAACACAGAATGTA-1", "iM.data_TGGATCATCGTTCTGC-1", "iM.data_ATGCCTCCACAGCCTG-1", "iM.data_CATTGAGTCTGCACCT-1", "iM.data_TCAATTCTCCGCACGA-1", "iM.data_AGCCAATTCATTTACC-1", "iM.data_CATCCCAGTTCGTAAC-1", "iM.data_GTCCTCACAGGTGACA-1", "iM.data_TCACGGGCATGGACAG-1", "iM.data_ATACCGACATCTCGTC-1", "iM.data_AGAGCCCTCAAGCTTG-1", "iM.data_TGGCGTGCAAGGGCAT-1", "iM.data_TGTTGGACAAAGGCTG-1", "iM.data_CATACCCCAAGAGTTA-1", "iM.data_CCGGTGAGTATTTCTC-1", "iM.data_TGCTCGTAGCCTCTGG-1", "iM.data_GCCAGGTTCACCTCAC-1", "iM.data_GCTGAATAGAAACTGT-1", "iM.data_AGGGTCCTCTACGGTA-1", "iM.data_AGACACTGTTAGTCGT-1", "iM.data_GTCTCACGTCAACACT-1", "iM.data_CGAGGAACAGAATGTA-1", "iM.data_CTTCAATTCAATGCAC-1", "iM.data_TGGGCGTTCACATTGG-1", "iM.data_CTCCTTTTCCAGTTCC-1", "iM.data_AAAGTGAGTTGTACGT-1", "iM.data_GACGCTGTCCGTTGGG-1", "iM.data_AATGGCTCACAACGAG-1", "iM.data_GCTCAAACAGGGAATC-1", "iM.data_CATTCCGTCGTCGACG-1", "iM.data_GCGGATCGTATTAAGG-1", "iM.data_AGTGTTGCACCTGCAG-1", "iM.data_CTTCTAAAGGCACTAG-1", "iM.data_GCAACATCAAATGGAT-1", "iM.data_TATCTTGTCGGCTTCT-1", "iM.data_TGGCGTGAGTAGAATC-1", "iM.data_TTTATGCGTCATACCA-1", "iM.data_GCAGCCATCACCGGTG-1", "iM.data_ATCATTCTCGGCTTCT-1", "iM.data_CAATGACTCCCGTTCA-1", "iM.data_GGGCTCAAGTTGGGAC-1", "iM.data_TCAGCAAGTGGATGAC-1", "iM.data_TACAACGCATGGCTGC-1", "iM.data_ACGGTTACAGGAGACT-1", "iM.data_GAGTCATTCTTGGAAC-1", "iM.data_TCATCCGCATGAGTAA-1", "iM.data_AGCGATTGTACCTAGT-1", "iM.data_TCGCTCACAAGTGCAG-1", "iM.data_TTGATGGTCCTTATGT-1", "iM.data_AGTCAACAGTTGCCCG-1", "iM.data_CGGAACCGTCACCCTT-1", "iM.data_TTGCATTAGATAGTGT-1", "iM.data_GACATCAGTGTCCGGT-1", "iM.data_GGGTGTCAGCTCCGAC-1", "iM.data_TGATTCTGTAACAGTA-1", "iM.data_GCCAGGTGTTAAGACA-1", "iM.data_CTTGATTCACCTCTAC-1", "iM.data_GCGGAAAGTGCGAACA-1", "iM.data_CATGCTCCAAACCACT-1", "iM.data_TCGGGTGGTTACACTG-1", "iM.data_CACGTTCGTTGTAGCT-1", "iM.data_CAAGGGAGTTGAGAGC-1", "iM.data_TAGACTGCACTTGTCC-1", "iM.data_TCAGTTTAGACCATTC-1", "iM.data_GAGAGGTAGTGATAGT-1", "iM.data_GTTAGACGTACAGCGA-1", "iM.data_ATTCCATTCTGACAGT-1", "iM.data_CATTCATGTTCTCCAC-1", "iM.data_TGTGGCGTCACTCGAA-1", "iM.data_GGGACAAAGAGATCGC-1", "iM.data_CGGGTCACAAACCATC-1", "iM.data_CAGGTATTCGGAAACG-1", "iM.data_CACAACATCCATTGGA-1", "iM.data_GCCAACGCAATAAGGT-1", "iM.data_AGACCCGAGCACCCAC-1", "iM.data_ACATTTCGTATCCCTC-1", "iM.data_CTTGATTCACTATGTG-1", "iM.data_TACAACGTCGAGTGGA-1", "iM.data_GTCCTCACAGACCCGT-1", "iM.data_CATTGTTCAACACAGG-1", "iM.data_ACAGGGAAGCGTCTGC-1", "iM.data_TCTCACGTCTCTGAGA-1", "iM.data_CTGTATTAGTGAACAT-1", "iM.data_ATCACTTTCCAGCCTT-1", "iM.data_AGCCAATGTATTCTCT-1", "iM.data_TGCTTCGGTGGCAGAT-1", "iM.data_CCGGGTAAGGTTGAGC-1", "iM.data_TCCATCGCAATTGCTG-1", "iM.data_TAATTCCAGCCTCTCT-1", "iM.data_TGCTTGCTCGGACCAC-1", "iM.data_TGGATCACAACATCGT-1", "iM.data_TGGTAGTTCCGCACGA-1", "iM.data_CAATTTCAGACCTCCG-1", "iM.data_CACTTCGCATACCAGT-1", "iM.data_TAGACCATCGCACGAC-1", "iM.data_CATCCGTTCAGTAGGG-1", "iM.data_CCACTTGTCTTCTGTA-1", "iM.data_CGCAGGTAGCGTTCAT-1", "iM.data_GGCACGTTCACTCACC-1", "iM.data_ACCCTCAAGACTTAAG-1", "iM.data_ACACAGTCAGCACAGA-1", "iM.data_GACGTTATCTACCACC-1", "iM.data_GTGTAACTCGTGGCTG-1", "iM.data_CGTTCTGTCTACTTCA-1", "iM.data_AGATGCTGTACAGTTC-1", "iM.data_ACTTCGCTCACCTACC-1", "iM.data_CTCTCAGCACACGGTC-1", "iM.data_GGGTCACTCGCAGTTA-1", "iM.data_GGAGCAAAGCCTTTCC-1", "iM.data_ACCTGAATCAGTGATC-1", "iM.data_AGTTAGCCACTTCCTG-1", "iM.data_CCTATCGCAACAAAGT-1", "iM.data_TCCTCCCAGAGATCGC-1", "iM.data_ACCCAAAAGAACTTCC-1", "iM.data_CAAGAGGCAACGGCTC-1", "iM.data_GTAGCTACACTGAGGA-1", "iM.data_TGCATCCTCAGTGTTG-1", "iM.data_CTATCTAGTTTGGAAA-1", "iM.data_CCTCACAGTCCACATA-1", "iM.data_GCACGGTTCGAGCCTG-1", "iM.data_GGGTTTAAGCTAAGTA-1", "iM.data_AAGTACCGTTTCGATG-1", "iM.data_TCGTAGAGTCCCTCAT-1", "iM.data_ACTTAGGAGACAACTA-1", "iM.data_TTGCCTGTCTCACTCG-1", "iM.data_GTAGAGGCACGGCCAT-1", "iM.data_GAGACCCAGGCGTTAG-1", "iM.data_GGGAAGTGTTAAGCAA-1", "iM.data_TTACGCCGTAGCGTCC-1", "iM.data_GCCTGTTTCTCGGTCT-1", "iM.data_CCCAACTAGGCTTAAA-1", "iM.data_AACAACCGTTAAGACA-1", "iM.data_TAGACCAGTGTCGCTG-1", "iM.data_GCAGTTAGTCCACTTC-1", "iM.data_CTCCACAAGCGCTGCT-1", "iM.data_AGGCCACCACGGGTAA-1", "iM.data_ATTACCTAGCGAGTCA-1", "iM.data_GTCATTTAGTTCACTG-1", "iM.data_AAATGGAAGTAAGACT-1", "iM.data_CTTCTAACAAGCGAGT-1", "iM.data_AGCGTATAGTCGTTAC-1", "iM.data_CGACAGCAGGCCTGAA-1", "iM.data_GGATCTACAGATCCTA-1", "iM.data_AAGCATCAGCTTAAGA-1", "iM.data_TAAGCACAGTCCGTCG-1", "iM.data_TAAGCGTCAACTAGAA-1", "iM.data_CGTAGTAAGACCCGCT-1", "iM.data_GTGATGTTCGCATAGT-1", "iM.data_TCAAGTGGTGTTGAGG-1", "iM.data_CTTACCGTCAAGCTTG-1", "iM.data_GCGAGAAGTAGAGGAA-1", "iM.data_TTCCGTGTCCAACCAA-1", "iM.data_CAGTTCCTCCCGAATA-1", "iM.data_TTTGACTTCTTCTAAC-1", "iM.data_TTACAGGAGACATACA-1", "iM.data_ATTTCACGTTGTTGAC-1", "iM.data_AGGCCACTCCGTACGG-1", "iM.data_CAGATACTCCCGAGGT-1", "iM.data_CGTCCATCACGAAGAC-1", "iM.data_ACTTCGCGTATCGCGC-1", "iM.data_CATTCCGCATTAGGAA-1", "iM.data_TTGAGTGGTCCTCAGG-1", "iM.data_TGGTACAGTTCGTGCG-1", "iM.data_AGACTCACATGAAAGT-1", "iM.data_TGGTACAGTTGCAAGG-1", "iM.data_AGGAGGTCAAAGACGC-1", "iM.data_CAATACGAGAAGAACG-1", "iM.data_AATGGAATCCGAGCTG-1", "iM.data_GTACAGTCATCTCGTC-1", "iM.data_GACACGCCATCTAACG-1", "iM.data_CTGTACCAGTCTCGTA-1", "iM.data_TCCCATGAGGGCAGGA-1", "iM.data_ATACCTTCACATAACC-1", "iM.data_GAGTTACTCTCGCTCA-1", "iM.data_TGGGAAGCAAGCACAG-1", "iM.data_CCTCACAGTCCAAATC-1", "iM.data_TAGGGTTTCTCGCTCA-1", "iM.data_ACATGCATCCTCTCGA-1", "iM.data_GAGTTTGTCGATGCAT-1", "iM.data_TTACGCCGTTTCTATC-1", "iM.data_AGGGCCTCACAGACGA-1", "iM.data_CTCATTACAATGTTGC-1", "iM.data_AGTCTCCTCATGCTAG-1", "iM.data_GAGATGGCAGACACAG-1", "iM.data_TCCAGAAGTAGCGTAG-1", "iM.data_CTGGTCTTCCAACTGA-1", "iM.data_ATCAGGTGTGACGTCC-1", "iM.data_GCGATCGCATCATTGG-1", "iM.data_CAGCCAGTCCGTGCGA-1", "iM.data_TGGGTTAGTCCAAAGG-1", "iM.data_CATCGCTAGTAAAGCT-1", "iM.data_GCCCGAAAGAACAGGA-1", "iM.data_CATGGTATCTGCATAG-1", "iM.data_GCACTAATCCATTTCA-1", "iM.data_AAACGAAAGCTAGTTC-1", "iM.data_TTCCTTCCAGACCGCT-1", "iM.data_ACACGCGTCCAAGAGG-1", "iM.data_ACGATGTCAATATCCG-1", "iM.data_CCTAAGATCTGGACCG-1", "iM.data_GGAGGTACATTCTCTA-1", "iM.data_TTGCCTGAGGGTTGCA-1", "iM.data_TCATTACGTGCACAAG-1", "iM.data_GTATTTCAGCCTCTCT-1", "iM.data_GTCCCATTCCAGCAAT-1", "iM.data_GTCAAACAGATACATG-1", "iM.data_GAAGTAACATGACGGA-1", "iM.data_CTTGATTTCGAACGGA-1", "iM.data_ACGGTTAAGGTACATA-1", "iM.data_AGCATCATCCGATAAC-1", "iM.data_CATGGATGTTTGGGTT-1", "iM.data_TACGCTCTCCTTCTGG-1", "iM.data_GTCATCCCAGGTTCGC-1", "iM.data_CTCACTGAGGTGCTGA-1", "iM.data_TGAATCGGTAGGTAGC-1", "iM.data_CACGTGGCAGCCTACG-1", "iM.data_TTACGTTCATCTTCGC-1", "iM.data_TACCCACCAGAGAATT-1", "iM.data_GACCTTCTCATCGTAG-1", "iM.data_GTAATCGCAGACATCT-1", "iM.data_AGTCTCCTCCAGTGCG-1", "iM.data_GCTTGGGCACATTGTG-1", "iM.data_GCTACCTTCACCTCTG-1", "iM.data_GTAGAAAAGGGATCTG-1", "iM.data_GTCATGAAGTCCCGGT-1", "iM.data_TAACACGTCCTATTTG-1", "iM.data_ATCCGTCTCGCTACAA-1", "iM.data_GCTACAACACAGCCAC-1", "iM.data_GTATTTCCATCCTCAC-1", "iM.data_TCTCTGGGTTCCTACC-1", "iM.data_AGAAATGTCCGAGTGC-1", "iM.data_TTCATTGTCATGTCTT-1", "iM.data_CCACGTTCATCGTCCT-1", "iM.data_AGATGAACAATGCAGG-1", "iM.data_ACAGCCGCAGTGAGCA-1", "iM.data_AGTTCCCTCCCATAAG-1", "iM.data_CCGGTAGCAATGTTGC-1", "iM.data_CGGACACGTATTCCTT-1", "iM.data_ACGTAGTTCCACTAGA-1", "iM.data_GGGATCCAGCCTTTGA-1", "iM.data_TATACCTTCCCAACTC-1", "iM.data_GAATCGTCAGGAGGTT-1", "iM.data_GTAATGCGTCCGTACG-1", "iM.data_TACACCCGTGCCGGTT-1", "iM.data_TTCACGCAGCAACAAT-1", "iM.data_AGGGTCCCATGAATCC-1", "iM.data_GTCATGACACCGTACG-1", "iM.data_TACATTCTCGGTGCAC-1", "iM.data_CACTAAGTCCGTAGGC-1", "iM.data_GGGCTACCATCCTATT-1", "iM.data_TCATTACCAACCCTAA-1", "iM.data_TACGGGCAGTATAACG-1", "iM.data_CTGCCTAGTCCTCCAT-1", "iM.data_GTCAAACGTATTTCTC-1", "iM.data_TCAATTCTCGGATAAA-1", "iM.data_CTCCACATCCGTGACG-1", "iM.data_GAGGGTATCGTGGACC-1", "iM.data_CTCATTATCATTCACT-1", "iM.data_TTGAACGAGCTAAACA-1", "iM.data_CAACCAATCTGGGAGA-1", "iM.data_AGAAATGCAATCAAGA-1", "iM.data_CGATGCGAGCGGCTCT-1", "iM.data_CCACACTGTGATTGGG-1", "iM.data_TGTGCGGAGCACCCAC-1", "iM.data_AGTAGTCAGTTGTCAC-1", "iM.data_AACCACACATCAGCAT-1", "iM.data_CGAATTGGTTACGTAC-1", "iM.data_CCGTAGGCAGCGTTGC-1", "iM.data_TCCCACAAGCCTGGAA-1", "iM.data_ACTTTCACATTATGCG-1", "iM.data_AGCTACACATAGAGGC-1", "iM.data_TGGTAGTAGACCTCAT-1", "iM.data_GTCAAACGTTTATGCG-1", "iM.data_TCGCTTGTCGTCCTCA-1", "iM.data_CATTCCGGTATGCTAC-1", "iM.data_GTCCCATGTGATAGTA-1", "iM.data_AAGCGTTTCGCGCTGA-1", "iM.data_CACGTGGCACACACGC-1", "iM.data_CCCTCAACAGTTACCA-1", "iM.data_ATAGACCCAGCTAACT-1", "iM.data_TTCACCGGTTATCTGG-1", "iM.data_ATACTTCTCGAACGCC-1", "iM.data_ATGCATGTCACTACGA-1", "iM.data_ACAGGGAAGCTGTCCG-1", "iM.data_TATATCCAGGTGCCTC-1", "iM.data_CACGTTCGTATTGACC-1", "iM.data_TGACTCCTCTGAATGC-1", "iM.data_TTGGGCGCATACTGTG-1", "iM.data_AAAGGGCGTTCTGAGT-1", "iM.data_TAGGGTTCACTCTAGA-1", "iM.data_ATTCAGGTCTCATGCC-1", "iM.data_GTGTGATCAGTTGCGC-1", "iM.data_TCGCAGGGTTATAGAG-1", "iM.data_AGACAGGAGAGGTGCT-1", "iM.data_TAATCTCGTGGCATCC-1", "iM.data_AAATGGACACTTCTCG-1", "iM.data_CATGCAACATGACGAG-1", "iM.data_TAACGACGTAACACCT-1", "iM.data_GATGATCCAACTGCCG-1", "iM.data_CGGAATTCACTTCAGA-1", "iM.data_GGAATCTGTGGGCTCT-1", "iM.data_TTGACCCAGGCAGGTT-1", "iM.data_TGCAGGCCATAGATGA-1", "iM.data_GATGTTGAGCCTAACT-1", "iM.data_ATGTCCCCATGCCGCA-1", "iM.data_CATCCACGTTGTATGC-1", "iM.data_TCCTTTCCACGCGTGT-1", "iM.data_CGCATAATCAACTGGT-1", "iM.data_GAGGCAAGTCGCAGTC-1", "iM.data_CACGTTCTCGCCTTGT-1", "iM.data_TCATTCAGTTGCTCCT-1", "iM.data_AAGTACCTCATGCCCT-1", "iM.data_TTCAATCCACGTGTGC-1", "iM.data_CCCAACTAGCACACAG-1", "iM.data_TAACGACCATCGCTCT-1", "iM.data_ATCCCTGGTCTCAGGC-1", "iM.data_TCTGCCATCCAGTGTA-1", "iM.data_CGCCATTCATAAGCAA-1", "iM.data_AAGACAAGTATCGCGC-1", "iM.data_TATATCCCAATCCAGT-1", "iM.data_TGCTGAACATCGATCA-1", "iM.data_TGAGGTTCAGCACCCA-1", "iM.data_TTCTTCCTCGCCTATC-1", "iM.data_TTCCTCTTCGAAGCCC-1", "iM.data_TAGTGCATCGCAGTTA-1", "iM.data_TGCTTGCAGGCAATGC-1", "iM.data_ATCGTAGCAAGCAATA-1", "iM.data_CAGATCAGTGATTAGA-1", "iM.data_CTTTCAACACACACGC-1", "iM.data_AAAGGATCAACGGCTC-1", "iM.data_CGAGTTATCGGCCCAA-1", "iM.data_TTGTGGAGTGCCTACG-1", "iM.data_GATTTCTGTTGCACGC-1", "iM.data_GGGCCATTCGTTCATT-1", "iM.data_TGTAAGCTCCCGTAAA-1", "iM.data_TTCCAATGTCGCCTAG-1", "iM.data_TACATTCTCGCACGAC-1", "iM.data_TCATACTGTAGCTTGT-1", "iM.data_TCACATTCATGAATCC-1", "iM.data_TCCTGCATCCGTACGG-1", "iM.data_CATTCATCAAAGGCGT-1", "iM.data_TATCTTGAGCCTGAGA-1", "iM.data_AGAAATGTCAAGCCCG-1", "iM.data_TCACTATTCTGGGCCA-1", "iM.data_GCGTGCAAGACCAGCA-1", "iM.data_ATGAAAGCATGATCTG-1", "iM.data_CATTGTTAGCAACTCT-1", "iM.data_AAGACAAGTATTGGCT-1", "iM.data_CACGTTCAGGTTCATC-1", "iM.data_TGCAGGCTCATCTGTT-1", "iM.data_ATCCACCCAGGCATTT-1", "iM.data_CTCATCGCATTCATCT-1", "iM.data_TTCCACGCACTGAGGA-1", "iM.data_CCGTTCAGTTTGCCGG-1", "iM.data_AGGCTGCTCTCCCATG-1", "iM.data_CATCAAGCAAGGCAAC-1", "iM.data_GTTCTATAGGCACTCC-1", "iM.data_GACTGATTCATGACAC-1", "iM.data_TGACGCGGTCCATCTC-1", "iM.data_GAGTTGTAGACCATTC-1", "iM.data_CTCCATGGTCCACAGC-1", "iM.data_AACCAACAGCTAGCCC-1", "iM.data_TACTGCCAGAAACCCG-1", "iM.data_AGGACGACACTGTGAT-1", "iM.data_TGCCGAGTCTATCGCC-1", "iM.data_AGGTTACTCTGCACCT-1", "iM.data_CATACAGCATAGTCAC-1", "iM.data_AGGGTTTAGGCTTCCG-1", "iM.data_ATGGGAGAGTCTACCA-1", "iM.data_AAGAACAGTGCGAACA-1", "iM.data_AGTGCCGGTTAATGAG-1", "iM.data_CGAGGAACAGCTGCCA-1", "iM.data_CCTCTCCCAACGACTT-1", "iM.data_CAATTTCAGCAATTAG-1", "iM.data_TCAGCCTGTCTGCGCA-1", "iM.data_GCCTGTTCAACGACTT-1", "iM.data_TTGTGGATCCGAAGGA-1", "iM.data_ACTTCCGTCACGATCA-1", "iM.data_GAAGAATAGACCTCAT-1", "iM.data_CTCACTGGTGTCCACG-1", "iM.data_GTAATGCAGGTTGGTG-1", "iM.data_CCACTTGCAACCAATC-1", "iM.data_CATAGACCATACAGCT-1", "iM.data_TACGGGCTCACGGACC-1", "iM.data_ATGGATCCATCGCCTT-1", "iM.data_TCACACCTCTCTCTTC-1", "iM.data_GAATCGTTCAGTCATG-1", "iM.data_CTAAGTGCACGATTCA-1", "iM.data_CTCATCGAGGCTGAAC-1", "iM.data_TCGCAGGTCTCGGTCT-1", "iM.data_TCAAGACTCGGATTAC-1", "iM.data_GCCATTCAGTCACACT-1", "iM.data_GTCCACTTCCAGCTCT-1", "iM.data_CCTCAACAGATTGAGT-1", "iM.data_AAGCGTTAGCAGAAAG-1", "iM.data_AGTGATCTCGTCCATC-1", "iM.data_GACCGTGGTTACGATC-1", "iM.data_TGTTCATAGGTTAAAC-1", "iM.data_CCTAACCCACTGAATC-1", "iM.data_GTAAGTCCAACGACAG-1", "iM.data_TCAAGCACATCATTGG-1", "iM.data_GGGCGTTTCTCTGCTG-1", "iM.data_AATCACGTCCTAAACG-1", "iM.data_TTTCACAGTTGCTTGA-1", "iM.data_TAGACTGCATTGACCA-1", "iM.data_CGAGTTATCAGCTTCC-1", "iM.data_CCCGAAGTCCACCCTA-1", "iM.data_AGACACTAGAACAAGG-1", "iM.data_GTTAGTGCAAGATGGC-1", "iM.data_CACCGTTTCCTAGCCT-1", "iM.data_TATTGCTAGTCTAACC-1", "iM.data_AACGGGAGTACTCGAT-1", "iM.data_CTACTATAGGGTCACA-1", "iM.data_TCTGGCTTCAAGGCTT-1", "iM.data_GTGTCCTCACGTAACT-1", "iM.data_ACTTCGCTCCTCAGAA-1", "iM.data_TAGGTTGGTAGTGGCA-1", "iM.data_TCGGGACTCTAGTGTG-1", "iM.data_CCACACTCAACACAAA-1", "iM.data_TAGACCAGTTAGGACG-1", "iM.data_TAAGCCAAGCTAGAAT-1", "iM.data_GACACGCTCCTCACTG-1", "iM.data_ACATTTCAGCCATTCA-1", "iM.data_TTGTTGTGTAACATGA-1", "iM.data_AACGTCAGTCATCGGC-1", "iM.data_CTACGGGAGTGCGACA-1", "iM.data_GGTGTTAGTCACGACC-1", "iM.data_GTCACTCAGCATATGA-1", "iM.data_ACGTCCTCACCGTGCA-1", "iM.data_GTCACTCCATGTTCGA-1", "iM.data_ACGGTCGAGTGTTCCA-1", "iM.data_ATGAAAGTCCAAGAGG-1", "iM.data_CAATACGAGTTTGAGA-1", "iM.data_CATGCAAAGTATGGCG-1", "iM.data_GGGATCCCAGCTTTCC-1", "iM.data_TATCTGTTCAACCTTT-1", "iM.data_TCAATTCGTGCCGTTG-1", "iM.data_ATCGTAGCAGGCTCTG-1", "iM.data_AATGGCTGTTGCACGC-1", "iM.data_GCCCGAAAGAACCCGA-1", "iM.data_GACCAATTCGCTGTTC-1", "iM.data_TGGGAAGTCACTGTCC-1", "iM.data_ACCCAAAAGGTTACCT-1", "iM.data_ATACCTTTCTACCCAC-1", "iM.data_AGACAAAGTAGACTGG-1", "iM.data_GCTACAAAGGGACCAT-1", "iM.data_TTACGCCCAGAACTCT-1", "iM.data_GTCATGAGTCGATTTG-1", "iM.data_TATTTCGCAAGGCTTT-1", "iM.data_ACTATGGGTGAGTAAT-1", "iM.data_GAGCTGCTCTGCACCT-1", "iM.data_GAATCACGTAGACGGT-1", "iM.data_TTCTTCCAGGCATCTT-1", "iM.data_GGTCACGGTTAAACAG-1", "iM.data_AGTGTTGAGTATTGCC-1", "iM.data_ACCCAAATCACCTTAT-1", "iM.data_TAGCACATCCTTATAC-1", "iM.data_CATGAGTAGCAACCAG-1", "iM.data_TCGAACAAGCCTGCCA-1", "iM.data_GTGTGGCCACGAAAGC-1", "iM.data_AAGCGAGAGATGACCG-1", "iM.data_GAGACCCCATAACGGG-1", "iM.data_CATACCCCAAACACGG-1", "iM.data_TCAGGTACAGCTTTGA-1", "iM.data_TGTCCCACAAAGCTAA-1", "iM.data_TCATTCAGTCATCAGT-1", "iM.data_ACCAAACTCAAACGAA-1", "iM.data_GTTACCCCAGGAGGTT-1", "iM.data_TCTACCGGTTACACAC-1", "iM.data_GGAGATGAGTCAGGGT-1", "iM.data_CAACAACGTCGCATGC-1", "iM.data_TGTCCACCACCGTGAC-1", "iM.data_CCAATGATCACGGAGA-1", "iM.data_TCGAACATCTAGCCAA-1", "iM.data_CATTGAGTCCCTTCCC-1", "iM.data_TATCGCCGTCTACACA-1", "iM.data_CATTCCGGTATGGAAT-1", "iM.data_CTTACCGGTCCTATAG-1", "iM.data_GGGCTCACAACGACTT-1", "iM.data_CTCAGTCCATCGGCCA-1", "iM.data_AAGATAGTCCGGCAGT-1", "iM.data_AGGACTTGTGCAACAG-1", "iM.data_CCTCTCCGTTGCCGAC-1", "iM.data_GCCCAGAGTTCGTACA-1", "iM.data_GTCAAACCAGTATACC-1", "iM.data_CAGCAGCCAGAGTTCT-1", "iM.data_GCAACCGTCCATGATG-1", "iM.data_GGGTGTCTCCAAGCAT-1", "iM.data_GGGTGAACATCTTCGC-1", "iM.data_ATTCCTATCCATAGGT-1", "iM.data_CTCCTCCCATAACAGA-1", "iM.data_ACAGCCGGTCCTGGGT-1", "iM.data_TAGACTGTCATGCCAA-1", "iM.data_TACCCACCACCGGCTA-1", "iM.data_AACAGGGAGCCTGAGA-1", "iM.data_ATGGGAGGTCATGGCC-1", "iM.data_GGGACTCAGCGATTCT-1", "iM.data_CCATCACTCCAGCCTT-1", "iM.data_GTGGAGAGTCTTGAAC-1", "iM.data_GACACGCCACACCTAA-1", "iM.data_CATCCCAAGGACAACC-1", "iM.data_GAAGCGAGTAGCTGCC-1", "iM.data_CACTGTCTCTCATGCC-1", "iM.data_TGTCCACGTGACATCT-1", "iM.data_ATCGTCCCAGACCATT-1", "iM.data_CAGTTCCCAAGTTCCA-1", "iM.data_GACTTCCGTTACACAC-1", "iM.data_TGTCCACGTCAGCTTA-1", "iM.data_GCTACCTGTACATACC-1", "iM.data_ACAACCAAGCCAACCC-1", "iM.data_TCATGCCTCTATTCGT-1", "iM.data_GCTTGGGCAGAAGTTA-1", "iM.data_GCCAGGTCATAGATCC-1", "iM.data_TCCGGGAGTTCACGAT-1", "iM.data_TAACCAGGTGATAGTA-1", "iM.data_CAACGGCAGGAACGAA-1", "iM.data_CCTCTCCGTGCGGTAA-1", "iM.data_GCAGGCTCATGATAGA-1", "iM.data_TAACACGAGTCAGAGC-1", "iM.data_CAGAGCCCAACCGCTG-1", "iM.data_GAAGGACCACCTCAGG-1", "iM.data_GGTTGTATCTCAACCC-1", "iM.data_TCTGCCACAGTTCTAG-1", "iM.data_TTTCACAGTCACTGAT-1", "iM.data_GAATCACTCCTCTCTT-1", "iM.data_AGACCATCACTACTTT-1", "iM.data_TTCTGTACATCGGCCA-1", "iM.data_GAACACTTCCGTAATG-1", "iM.data_TAAGTCGTCCTTCTGG-1", "iM.data_TCGACCTTCTACGCAA-1", "iM.data_CTTGATTTCAAGATAG-1", "iM.data_CCTTCAGTCAGTCACA-1", "iM.data_CAATACGCACTTGTGA-1", "iM.data_CATTGCCCACTGATTG-1", "iM.data_TCAGCCTTCTTCACGC-1", "iM.data_CCGGTGACATCCTTCG-1", "iM.data_AATGACCAGTTCACTG-1", "iM.data_ATGTCTTTCCAATCCC-1", "iM.data_CCACTTGCACAGTACT-1", "iM.data_AGGAGGTTCGTAGGGA-1", "iM.data_CCTCTAGCAACCCTCT-1", "iM.data_GATCAGTGTGCATTAC-1", "iM.data_CTTCTAACACCTCTAC-1", "iM.data_TTTCACATCTCCAAGA-1", "iM.data_ACTTTCACATCCGTGG-1", "iM.data_TCAGTGATCCAATCCC-1", "iM.data_CCCTTAGTCCGATCTC-1", "iM.data_CTCTCAGAGGAACGCT-1", "iM.data_CAAGCTACATAAGCGG-1", "iM.data_TGGATCAAGCATCCCG-1", "iM.data_GCAACCGAGTCGTTAC-1", "iM.data_CAGATACCACATCCCT-1", "iM.data_TCCACCACAGTTCCAA-1", "iM.data_AGTGACTAGCGACTGA-1", "iM.data_CCGTTCACAGCCGTTG-1", "iM.data_ACAAGCTAGTACTGGG-1", "iM.data_CTAGACATCCTTCAGC-1", "iM.data_TCGCTCAAGGGCAATC-1", "iM.data_ACCCAAAGTTCGTAAC-1", "iM.data_CACTGTCCAGAGTTCT-1", "iM.data_TCCACGTTCAGTGATC-1", "iM.data_CATTGAGTCCCGAATA-1", "iM.data_TCCTCGACAGTAACGG-1", "iM.data_AGAGCAGCATAGGCGA-1", "iM.data_CTTCCGAGTCGCAGTC-1", "iM.data_TCATCATCAGTGAGCA-1", "iM.data_AGAGCAGCAGAGGCTA-1", "iM.data_TTACCATCAATGAAAC-1", "iM.data_GGTAACTAGGTTACAA-1", "iM.data_CAATGACAGTATAGAC-1", "iM.data_AGAACAACAGCGGTCT-1", "iM.data_AGGTGTTCAACAGAGC-1", "iM.data_AGACACTCAGCGACCT-1", "iM.data_ACCAACATCGTTCTGC-1", "iM.data_CAGCAATTCCGAGGCT-1", "iM.data_ATTCCTATCTGAACGT-1", "iM.data_AAGTTCGAGTACTGGG-1", "iM.data_ACCTGTCTCCGTGTAA-1", "iM.data_TTACGTTTCAAACGTC-1", "iM.data_AACGAAAAGCTAGTTC-1", "iM.data_ATCCATTTCGACCTAA-1", "iM.data_TCACTATAGAAATGGG-1", "iM.data_CGGGTCATCCCTCTCC-1", "iM.data_AGACAGGGTTATCCAG-1", "iM.data_GAACTGTCAATGTCAC-1", "iM.data_AGGGTGAAGCTTCTAG-1", "iM.data_AGAACAATCCAGTGCG-1", "iM.data_TGGATGTTCTGGTGCG-1", "iM.data_TGCATCCCATCTGGGC-1", "iM.data_TCACACCCAGCTGTTA-1", "iM.data_ACTACGAGTGCAAGAC-1", "iM.data_CTGCAGGAGCTATCCA-1", "iM.data_TGTCAGAGTAGACACG-1", "iM.data_TTCATTGTCAAGAGTA-1", "iM.data_TATTGGGCATACTGTG-1", "iM.data_TACTTACTCCACGTCT-1", "iM.data_AACGGGAAGATCACTC-1", "iM.data_AACAAGACACCTCGTT-1", "iM.data_CTTCCTTTCGAACACT-1", "iM.data_CATCCACCACAAATCC-1", "iM.data_GGAGGTAGTAACCCTA-1", "iM.data_AGGGTGATCACCGCTT-1", "iM.data_CAGGGCTCAACGACTT-1", "iM.data_CGTTAGACATCGGTTA-1", "iM.data_CCACTTGTCCCAATAG-1", "iM.data_CGGGTGTTCTCGTTTA-1", "iM.data_CTGCAGGCAAGCTGCC-1", "iM.data_TCGAACAGTCTCCTGT-1", "iM.data_ATGGGAGCATAGAAAC-1", "iM.data_CAACAACCAAGTTTGC-1", "iM.data_GCAACCGGTGCAACGA-1", "iM.data_CATTGCCCAGGGATAC-1", "iM.data_ACACGCGAGTTCATGC-1", "iM.data_TACGGGCCAACATACC-1", "iM.data_GCGGAAATCTAGCAAC-1", "iM.data_TACACCCTCCATTCAT-1", "iM.data_GCATGATCAAATACGA-1", "iM.data_TCACGGGAGAAACACT-1", "iM.data_TCATTACAGTGCAAAT-1", "iM.data_TGCAGTATCGCTCTAC-1", "iM.data_CCCTCTCAGTCCCAAT-1", "iM.data_CCACACTCATTAAAGG-1", "iM.data_CAACGGCTCTACTGCC-1", "iM.data_GGTAACTAGCCTTCTC-1", "iM.data_CAGCAATGTCGTCATA-1", "iM.data_GTCTGTCTCTGTGCGG-1", "iM.data_TTGTTGTGTCGGAACA-1", "iM.data_CAAGACTTCCAACACA-1", "iM.data_CATGCGGGTCCCGTGA-1", "iM.data_TGCATCCAGGTGGCTA-1", "iM.data_TCCTGCAGTACCCGCA-1", "iM.data_TCTGGCTCAAGTTTGC-1", "iM.data_ATACCGACATCATTGG-1", "iM.data_CTATCCGAGAGCCGAT-1", "iM.data_TCTCAGCCACGGCTAC-1", "iM.data_TGTCCTGCACCTATCC-1", "iM.data_AGAACAACAGTGGCTC-1", "iM.data_GCTCAAAGTGAGACGT-1", "iM.data_ATCCGTCTCGCACGGT-1", "iM.data_CATTTCAAGCATCCCG-1", "iM.data_CGGACACCAGGAACCA-1", "iM.data_AGGGAGTCACAAGGTG-1", "iM.data_GCTGGGTGTTGAGTCT-1", "iM.data_CATTTCATCCACCCTA-1", "iM.data_CTTAGGAGTGAACTAA-1", "iM.data_ACGGTTACACCAGGTC-1", "iM.data_AACCTGAAGTATTCCG-1", "iM.data_CACACAAAGCCGTTAT-1", "iM.data_TAGAGTCAGGACTAAT-1", "iM.data_GTAAGTCAGGAAAGAC-1", "iM.data_CATGCGGAGGATCATA-1", "iM.data_TACCTCGCAACCAATC-1", "iM.data_CACACAAGTTTACGAC-1", "iM.data_ATGGGTTGTCCCGGTA-1", "iM.data_ACTATTCCAAGACGAC-1", "iM.data_AGACACTCACTCATAG-1", "iM.data_GATAGAACATAGACTC-1", "iM.data_CACTAAGTCTGAATCG-1", "iM.data_CAATCGATCAAAGAAC-1", "iM.data_CGGGTCAAGGGCCAAT-1", "iM.data_AATGGAACAATCTCTT-1", "iM.data_TGTCCTGCAAACCGGA-1", "iM.data_GCAACATGTCTATGAC-1", "iM.data_ACGTACATCCTAGAGT-1", "iM.data_CATGCCTGTTTCGACA-1", "iM.data_CTACGGGTCAGACCCG-1", "iM.data_GTAGCTACACAGCTGC-1", "iM.data_CTCCACACAACTCATG-1", "iM.data_ACCACAATCGTCTACC-1", "iM.data_CTGGCAGTCATTCACT-1", "iM.data_CACAACACATCGAGCC-1", "iM.data_GTGGCGTTCAAGAATG-1", "iM.data_AGAGCCCCATCTAGAC-1", "iM.data_GACAGCCAGAAGCCAC-1", "iM.data_GATAGCTTCCGTTTCG-1", "iM.data_TTGCCTGGTCTTCTAT-1", "iM.data_AACAAAGCAATTGCCA-1", "iM.data_AGTTCGAGTTTCAGAC-1", "iM.data_ATGAGTCTCTAACACG-1", "iM.data_CAGGCCATCACCTACC-1", "iM.data_TCCACCAAGGCTCAAG-1", "iM.data_ATGAAAGTCGAAGCAG-1", "iM.data_TCGCTCACACCTATCC-1", "iM.data_CTTCAATGTACAGAAT-1", "iM.data_CGAATTGTCCGCAAAT-1", "iM.data_ATTCAGGCATACACCA-1", "iM.data_CCACGAGGTTCTGACA-1", "iM.data_GTGAGGATCTGGACTA-1", "iM.data_CCACGTTTCCGCGAGT-1", "iM.data_GCATGATTCACTTCTA-1", "iM.data_GGGTTATCATGCGGTC-1", "iM.data_ACATCCCTCTTCCCGA-1", "iM.data_CATGCTCCACTCCCTA-1", "iM.data_AAGACAATCTTCGACC-1", "iM.data_AACGGGAAGGTCGACA-1", "iM.data_CAGGTATGTCATCAGT-1", "iM.data_GCATCTCAGCCTTCTC-1", "iM.data_GAACTGTGTCACATTG-1", "iM.data_AATCACGAGTACCCTA-1", "iM.data_CCGTGAGAGGTTTACC-1", "iM.data_GCTGAATAGACCATGG-1", "iM.data_AACACACAGCCTCTGG-1", "iM.data_TAACGACCACACGTGC-1", "iM.data_GCCGATGGTCTTCAAG-1", "iM.data_TCAAGACCATGGTGGA-1", "iM.data_GACCAATGTACGTTCA-1", "iM.data_TCCTTTCGTATCAGCT-1", "iM.data_CTACGGGCACTGAATC-1", "iM.data_ATAGGCTCAGCAGTTT-1", "iM.data_AAGGTAAGTATACCCA-1", "iM.data_AGGTTGTCAACGACTT-1", "iM.data_CTAACCCTCCATTTAC-1", "iM.data_CAGTTCCGTCTCAGGC-1", "iM.data_AGTCAACGTCCATCTC-1", "iM.data_ACTTATCGTCTCTCAC-1", "iM.data_AAGTACCAGACCAGCA-1", "iM.data_TCCACGTCAGCTGTCG-1", "iM.data_TGCAGGCTCCCAGGCA-1", "iM.data_TCTATACCATTGACCA-1", "iM.data_AAAGTCCTCATCGTAG-1", "iM.data_CCTTGTGGTGCCTAAT-1", "iM.data_ACTTCGCTCTCTCGAC-1", "iM.data_ACCAAACGTCTGCCTT-1", "iM.data_TCCTTCTTCCATACAG-1", "iM.data_ATCGCCTCAGCCCACA-1", "iM.data_ACCACAATCTCCTGCA-1", "iM.data_CAGCACGTCTCTCGAC-1", "iM.data_AGGATAAGTCCACTCT-1", "iM.data_GTACAACCAGCGGTTC-1", "iM.data_GAGGCCTTCGTTCCCA-1", "iM.data_TCTACATTCCCAGGCA-1", "iM.data_AACAACCAGGCCTGAA-1", "iM.data_TAGGTACCAAACTCTG-1", "iM.data_AACCTGACAAGCTACT-1", "iM.data_GGGCTCACAAGCAGGT-1", "iM.data_GGCTGTGAGCGTACAG-1", "iM.data_GAAATGACAGGTCTCG-1", "iM.data_AGACACTCACCTTCGT-1", "iM.data_CGTTAGACATTACTCT-1", "iM.data_CAGTTCCCAGAGAATT-1", "iM.data_CGGAACCAGGTTCATC-1", "iM.data_CGGACACCACTTGAGT-1", "iM.data_AGGTTACGTATTAAGG-1", "iM.data_GCTGAATCATCCAATG-1", "iM.data_TGATCTTCATCAGCTA-1", "iM.data_GGTAACTGTGGTAACG-1", "iM.data_CAGATTGCAGGCATTT-1", "iM.data_AGGAGGTTCTTTGCTA-1", "iM.data_CTCCCAACAGAACGCA-1", "iM.data_CTAACCCGTATCGATC-1", "iM.data_CTAGACAAGACATCAA-1", "iM.data_AGAAATGCACAACGCC-1", "iM.data_TTTGGAGTCGGAAACG-1", "iM.data_ATCACAGTCCATATGG-1", "iM.data_TAACACGGTCAACCAT-1", "iM.data_TGAGCATGTCGCACAC-1", "iM.data_CCTAACCCACTACTTT-1", "iM.data_CACAACATCAAACTGC-1", "iM.data_CCGATGGGTTCAAACC-1", "iM.data_AGGGTGATCACCGGTG-1", "iM.data_GCACATATCTTCACGC-1", "iM.data_TTACCATTCTTCTCAA-1", "iM.data_ACGTACATCACTGCTC-1", "iM.data_TCCTAATTCGCATTAG-1", "iM.data_TAACACGGTTCGAACT-1", "iM.data_TACACCCTCACACCCT-1", "iM.data_GACCTTCTCACTGAAC-1", "iM.data_TACTTCATCTGTAAGC-1", "iM.data_CTCCTCCCAGCTGTAT-1", "d05.data2_TTCTAGTGTAGTAAGT-1", "d05.data2_TCGACCTTCTCCTGTG-1", "d05.data2_CTGAGCGGTCATATGC-1", "d05.data2_CTCCGATCAGTGAGCA-1", "d05.data2_TGTCAGAGTCGTCGGT-1", "d05.data2_GATCATGTCGTGCAGC-1", "d05.data2_GTGGCGTGTGAGCGAT-1", "d05.data2_GTAATCGAGCGCCGTT-1", "d05.data2_TCGTGGGAGAGTCGAC-1", "d05.data2_GTCGTTCTCGCTTAAG-1", "d05.data2_CTCAAGACAGGCATGA-1", "d05.data2_TAACCAGGTCGTACTA-1", "d05.data2_TCGTGCTAGACCTTTG-1", "d05.data2_TTCTAACGTACCGTCG-1", "d05.data2_GTTAGTGTCTTCGACC-1", "d05.data2_AACAACCCAGAGTCAG-1", "d05.data2_TTCATTGAGCGTCAGA-1", "d05.data2_TATCCTAGTCGAGATG-1", "d05.data2_AAGAACACAATTGGTC-1", "d05.data2_ACCCTTGTCTGTCTCG-1", "d05.data2_CTCATGCTCAATCGGT-1", "d05.data2_TACCCGTAGGGCCCTT-1", "d05.data2_TCCGGGAGTTGAATCC-1", "d05.data2_TTGCGTCGTACAAAGT-1", "d05.data2_AGTCATGTCTAGGCCG-1", "d05.data2_TAGATCGTCAGGAACG-1", "d05.data2_CAGAGCCGTCGTTTCC-1", "d05.data2_GTAACACAGTCGAAAT-1", "d05.data2_TTGCATTTCCTCATAT-1", "d05.data2_GTTACAGGTGACCGTC-1", "d05.data2_AACCTGATCAAGTCGT-1", "d05.data2_AGAACAAGTATGGTAA-1", "d05.data2_CCTCTCCCAGTCGGAA-1", "d05.data2_GTGATGTAGAGTGGCT-1", "d05.data2_AGGTCATGTAGAATGT-1", "d05.data2_CGATCGGCAGTGGTGA-1", "d05.data2_ACAGCCGGTGTAGCAG-1", "d05.data2_GTCAAACCAAATCGTC-1", "d05.data2_ACATCGAAGATCGCTT-1", "d05.data2_AAAGGGCGTCGTTGGC-1", "d05.data2_GGGTGTCAGGAGATAG-1", "d05.data2_CTGGCAGTCCGTTGAA-1", "d05.data2_GTGACGCAGCACGGAT-1", "d05.data2_TCGGGACGTGTACGCC-1", "d05.data2_CGAAGGACATGACTAC-1", "d05.data2_TCTGCCAAGCGCCTTG-1", "d05.data2_CGTGTCTCAGGTGTTT-1", "d05.data2_GGAGGATTCGGCTGAC-1", "d05.data2_ACAGGGAGTCGGTGTC-1", "d05.data2_GAACTGTCAGAACTAA-1", "d05.data2_ATTTCTGCATCCGGCA-1", "d05.data2_TCGAACATCAGACCGC-1", "d05.data2_GTGTTAGGTGGATCAG-1", "d05.data2_TGATCTTGTTTACTGG-1", "d05.data2_TCGGGCATCAGCGTCG-1", "d05.data2_ATTTCTGCATTATGCG-1", "d05.data2_TCATCCGAGTGCGTCC-1", "d05.data2_CGTGTCTTCACTTCTA-1", "d05.data2_GTCACTCCACTTTAGG-1", "d05.data2_TCGCAGGGTTGGGTAG-1", "d05.data2_CAAGCTATCGTAGTCA-1", "d05.data2_GTGTTAGTCGGCCAAC-1", "d05.data2_TTCGATTTCTTCGGAA-1", "d05.data2_AGACACTGTCTAGATC-1", "d05.data2_CGTGCTTCAAGAGTTA-1", "d05.data2_GTGAGTTAGTGTTCAC-1", "d05.data2_TCGACCTCAAAGAGTT-1", "d05.data2_CAGTTAGTCGGCTGTG-1", "d05.data2_TATTTCGAGATGGGCT-1", "d05.data2_GGGTTATAGGAAAGAC-1", "d05.data2_TCGTGGGGTAACACCT-1", "d05.data2_TATCTTGCACGTCGGT-1", "d05.data2_GTTACGAAGGGAGTGG-1", "d05.data2_GTCGCGAAGAGAATCT-1", "d05.data2_GTTACGAGTGATTGGG-1", "d05.data2_TCAAGCAGTAGCGTAG-1", "d05.data2_CGTGCTTCAGCTCATA-1", "d05.data2_CTATCTAGTGAATTAG-1", "d05.data2_ATGATCGGTCTGGTTA-1", "d05.data2_AGGTCATAGTATTCCG-1", "d05.data2_GTACAACAGCAAATCA-1", "d05.data2_GTCTACCTCAAGTCGT-1", "d05.data2_CATCGGGGTCAGTTTG-1", "d05.data2_AAAGGATCATGACGAG-1", "d05.data2_TCTATACGTTTAGAGA-1", "d05.data2_CTCCGATAGCCTGAAG-1", "d05.data2_TCGTAGATCAATCTTC-1", "d05.data2_GTAAGTCCAATCGAAA-1", "d05.data2_CTCTCGAGTCGCATCG-1", "d05.data2_CCGGGTAGTGATTAGA-1", "d05.data2_AGGGTCCCACAATGAA-1", "d05.data2_GATCATGTCACCTCAC-1", "d05.data2_GGGAGATAGAGCAGTC-1", "d05.data2_GTGGCGTCATATACCG-1", "d05.data2_TTAGGGTTCGGCATAT-1", "d05.data2_CAAGAGGTCATGCCAA-1", "d05.data2_TTAGTCTGTGACTAAA-1", "d05.data2_CCCATTGGTTCAAGTC-1", "d05.data2_GCTGGGTGTACGGCAA-1", "d05.data2_GAAATGAGTACAATAG-1", "d05.data2_CCCGGAATCTCTGACC-1", "d05.data2_AGTTAGCGTCGCAACC-1", "d05.data2_CGTTGGGGTGACGCCT-1", "d05.data2_CATCGGGGTTCGAACT-1", "d05.data2_TCGGGCAAGGGCAGAG-1", "d05.data2_CTGCAGGGTATGGAGC-1", "d05.data2_GTGTAACTCCGTAGGC-1", "d05.data2_CACAGGCTCGGCTCTT-1", "d05.data2_AGAGAGCTCTGCGTCT-1", "d05.data2_TACCTCGAGTCTAGCT-1", "d05.data2_AGTGTTGGTATGCGGA-1", "d05.data2_TGGGAAGTCTCGCCTA-1", "d05.data2_GTAACACGTTGGGTAG-1", "d05.data2_GTGAGGAAGACTTCGT-1", "d05.data2_CTGGCAGAGGGCAACT-1", "d05.data2_ATTCATCGTGCATGAG-1", "d05.data2_TCGGGTGGTCCACATA-1", "d05.data2_TACTGCCGTCGTATTG-1", "d05.data2_AATGGCTAGGGTTGCA-1", "d05.data2_AGTACTGCAGAGCTAG-1", "d05.data2_CCGTGAGAGCCAGAGT-1", "d05.data2_GTTGAACCATCGTGCG-1", "d05.data2_AGGGTTTAGGAGAGTA-1", "d05.data2_GGTGAAGAGTTGGGAC-1", "d05.data2_TGGAGAGTCGAGAAAT-1", "d05.data2_GGGTGTCCAGTAGAAT-1", "d05.data2_TGGGAAGTCCATCCGT-1", "d05.data2_TACGTCCGTGTGCCTG-1", "d05.data2_TCGACGGAGACAAGCC-1", "d05.data2_TGACGCGAGAGGCTGT-1", "d05.data2_CAGTTAGGTTCGGCGT-1", "d05.data2_ATTCAGGCAAGAATAC-1", "d05.data2_ATTCCTAGTAGCGTTT-1", "d05.data2_CTTCAATGTGTGCTTA-1", "d05.data2_GGGATGAAGTGTACCT-1", "d05.data2_TTACCATTCGAGTGAG-1", "d05.data2_TCAGTCCGTAGCGAGT-1", "d05.data2_GAATAGATCGCGGACT-1", "d05.data2_CATGCGGCAGATGCGA-1", "d05.data2_GTTGTAGCACGTGTGC-1", "d05.data2_GGAAGTGCAGGTCCCA-1", "d05.data2_ATCCTATAGTCGAAAT-1", "d05.data2_GTATTGGTCTGCGAGC-1", "d05.data2_GTCTACCGTATTGCCA-1", "d05.data2_TGGGAGATCGCAACAT-1", "d05.data2_CTGTGAAAGATTGGGC-1", "d05.data2_CGGGTGTTCCGGTAGC-1", "d05.data2_CATTCATTCGCAATTG-1", "d05.data2_GTTACGAAGAGCTGAC-1", "d05.data2_CCACAAAAGTGCGTCC-1", "d05.data2_TGGTGATGTGGCGCTT-1", "d05.data2_TCGAAGTCAGATTAAG-1", "d05.data2_AGTACTGTCATTGAGC-1", "d05.data2_GTGGAAGGTGCCCGTA-1", "d05.data2_ACCTGAACACGTTCGG-1", "d05.data2_AGGGTGAGTTAAGTCC-1", "d05.data2_TGTCAGACAAGAGAGA-1", "d05.data2_GATTGGTAGCGTCAGA-1", "d05.data2_GTAATGCAGTCCTGTA-1", "d05.data2_CACAGATCAGGCACTC-1", "d05.data2_CACGTGGGTATCCCTC-1", "d05.data2_GGGCTACGTGACAGGT-1", "d05.data2_CAGCCAGAGGATACGC-1", "d05.data2_CTTCGGTTCACTAGCA-1", "d05.data2_AGAGCAGAGCTGTCCG-1", "d05.data2_ACTGCAAAGCTAATGA-1", "d05.data2_TTCTGTAGTATGTCCA-1", "d05.data2_CTTCCGAGTGTCCACG-1", "d05.data2_AGAGCCCTCTGCATAG-1", "d05.data2_AAAGGTAAGCAGTCTT-1", "d05.data2_ATTCTACAGAGGACTC-1", "d05.data2_AAGCATCCACTTGTGA-1", "d05.data2_GGAAGTGCAAGGAGTC-1", "d05.data2_ACTTCGCGTCTTCTAT-1", "d05.data2_TATACCTGTGCTGTCG-1", "d05.data2_CTGAATGGTCGCGTCA-1", "d05.data2_TGCTCGTGTCACCACG-1", "d05.data2_CCCTCAATCTTCGATT-1", "d05.data2_TGTAGACAGGCTTTCA-1", "d05.data2_ATGGGTTGTGTCCGGT-1", "d05.data2_CGGGTCATCTTGGATG-1", "d05.data2_ACGATCATCGTCGCTT-1", "d05.data2_GGGACCTAGTAGGATT-1", "d05.data2_GATAGCTAGGGTAGCT-1", "d05.data2_TGGTTAGGTTAGTTCG-1", "d05.data2_TGCGACGAGGATAATC-1", "d05.data2_AGCCACGTCGTAGTGT-1", "d05.data2_GGTCACGCAACCGTGC-1", "d05.data2_CTCAACCGTTCGTACA-1", "d05.data2_CTGTAGAGTCTAACTG-1", "d05.data2_GAGTTGTGTCAGACGA-1", "d05.data2_GAGTGAGCACGCCAGT-1", "d05.data2_AGAAGTAAGAGCATAT-1", "d05.data2_TTGGATGTCGGATTAC-1", "d05.data2_TGGAGAGTCAGACTGT-1", "d05.data2_CATGCTCAGAGCCGTA-1", "d05.data2_CATACAGGTTACAGCT-1", "d05.data2_GAATCGTGTGTCTTGA-1", "d05.data2_TAGAGTCCAGAGAATT-1", "d05.data2_ACTTATCAGACTGAGC-1", "d05.data2_TCGGGACGTCGCATTA-1", "d05.data2_TAGGGTTAGACGCTCC-1", "d05.data2_GTAGATCAGGAAAGGT-1", "d05.data2_GATGTTGAGAGCATCG-1", "d05.data2_ACCCAAAAGTGTGTTC-1", "d05.data2_CAGTTCCCACGAAGAC-1", "d05.data2_GCGATCGGTATGTGTC-1", "d05.data2_GAACTGTAGCGTTCCG-1", "d05.data2_AGCATCACAGGAATAT-1", "d05.data2_CAACGATGTCGTCGGT-1", "d05.data2_GGCAGTCTCAGAGTTC-1", "d05.data2_TTACCGCGTGAGCCAA-1", "d05.data2_TGGGATTCAACCCTAA-1", "d05.data2_TTGGATGTCGTGGTAT-1", "d05.data2_GTTTGGACAATGAGCG-1", "d05.data2_AGGAATATCAAGATAG-1", "d05.data2_AAATGGAAGTGCTCAT-1", "d05.data2_ATCCGTCAGTTCCGTA-1", "d05.data2_ACTATTCCACTAGAGG-1", "d05.data2_GATAGCTAGTACGAGC-1", "d05.data2_CTACGGGGTCGTACTA-1", "d05.data2_TCTTAGTGTACAGGTG-1", "d05.data2_TCATGGATCGGCTTCT-1", "d05.data2_CAATGACGTCTGTCAA-1", "d05.data2_ACGGGTCGTCCTGGTG-1", "d05.data2_CCTATCGGTAGCACAG-1", "d05.data2_TAGGGTTAGCTGCCTG-1", "d05.data2_GTGAGGAGTAGATGTA-1", "d05.data2_TCCATCGGTTCTAACG-1", "d05.data2_ATCATTCAGTACGAGC-1", "d05.data2_ACGTAGTGTATCGCTA-1", "d05.data2_AGAGAATTCGGACAAG-1", "d05.data2_GTTAGTGCAACGTTAC-1", "d05.data2_AACAAAGAGCACTCAT-1", "d05.data2_GGTGGCTAGGAGCTGT-1", "d05.data2_TGGAGAGCAAGGTCGA-1", "d05.data2_CAGCAATTCCCATTTA-1", "d05.data2_ATCGTGATCTGCTAGA-1", "d05.data2_AGTTCGAGTAGGCTCC-1", "d05.data2_CTGTGGGTCATGCCAA-1", "d05.data2_AGAAATGAGAATTGTG-1", "d05.data2_GACCCAGTCGTTGTTT-1", "d05.data2_CATGGTAAGGGTTAAT-1", "d05.data2_GGGTAGAGTTCTTGTT-1", "d05.data2_GTTGCGGCATGGAGAC-1", "d05.data2_CTATCCGAGAATTCAG-1", "d05.data2_GGTAGAGTCCGAGGCT-1", "d05.data2_TGTTCATTCACTTGTT-1", "d05.data2_CAAGAGGTCCGTGACG-1", "d05.data2_GTGCTTCCAAGATGTA-1", "d05.data2_TGACAGTTCTCATAGG-1", "d05.data2_TCCATCGGTGAGACGT-1", "d05.data2_GGGACTCGTAATGTGA-1", "d05.data2_GTTTGGAAGATGTTAG-1", "d05.data2_TTCTTCCCATCGTCCT-1", "d05.data2_TCGTCCAGTACCCAGC-1", "d05.data2_CATGAGTAGTCTTCGA-1", "d05.data2_TAAGCCAGTCGCGTTG-1", "d05.data2_AGCTTCCCAGACTGCC-1", "d05.data2_GGTGATTCAAAGGATT-1", "d05.data2_TTCTTGAGTGTGTCCG-1", "d05.data2_ATGAGGGTCCGTACGG-1", "d05.data2_TAGGGTTTCAAGAGGC-1", "d05.data2_TCCGGGACAAGAGATT-1", "d05.data2_CCTATCGAGGCCTAGA-1", "d05.data2_CCGTTCATCATGCGGC-1", "d05.data2_CAATGACGTGATGAAT-1", "d05.data2_TCAGGTAGTCCTCATC-1", "d05.data2_ATGCCTCGTGGAGGTT-1", "d05.data2_CTCAGGGGTCACGACC-1", "d05.data2_AGAGAGCCATGGAGAC-1", "d05.data2_AGATGCTAGCTGCCAC-1", "d05.data2_CAGGTATTCTAGTACG-1", "d05.data2_AGTAGTCAGAATCGAT-1", "d05.data2_TATTGGGTCACCTGGG-1", "d05.data2_TACAACGAGCCTGAGA-1", "d05.data2_CTGTCGTCAACACGTT-1", "d05.data2_GGGTCTGGTGTGTGGA-1", "d05.data2_GATCACACAGTTAGGG-1", "d05.data2_CGCCAGATCGTCCTTG-1", "d05.data2_TAATTCCGTGGATCAG-1", "d05.data2_CATAAGCAGCGAACTG-1", "d05.data2_TTGCCTGTCGATAACC-1", "d05.data2_CTGAATGGTAAGATTG-1", "d05.data2_TTTGACTCATCGCCTT-1", "d05.data2_ATTTACCAGTTGAATG-1", "d05.data2_GTCATGAAGCATGTTC-1", "d05.data2_CTGTGAATCCACAGCG-1", "d05.data2_GAAATGAGTCGAGCAA-1", "d05.data2_GGTAATCCAATCGTCA-1", "d05.data2_ATAGAGAAGATCCCAT-1", "d05.data2_TAAGCGTCATTCTTCA-1", "d05.data2_GTGTTCCGTGTCTTGA-1", "d05.data2_TGTTTGTTCTCGCTCA-1", "d05.data2_CCCATTGCAAATGGTA-1", "d05.data2_AGTAGTCTCCTATTGT-1", "d05.data2_TGTAACGGTTCGAGCC-1", "d05.data2_AACCTTTAGTACCCTA-1", "d05.data2_GCCAGTGGTAATTAGG-1", "d05.data2_AGGGTTTCAGACCAAG-1", "d05.data2_CGTTGGGGTTTACCTT-1", "d05.data2_ACAACCATCGGATACT-1", "d05.data2_CGAAGTTTCGCCAGAC-1", "d05.data2_AATGACCGTCTGCCTT-1", "d05.data2_TAGGGTTTCGGCTATA-1", "d05.data2_CATACTTTCGCTGTCT-1", "d05.data2_TCATTACTCTGGGAGA-1", "d05.data2_GATAGAATCCCAAGTA-1", "d05.data2_CAGCGTGGTCTGATCA-1", "d05.data2_GGCTTGGTCAGGGTAG-1", "d05.data2_TCTTGCGGTAGTTAGA-1", "d05.data2_ATTCACTCATCATGAC-1", "d05.data2_CAATACGAGAGCAAGA-1", "d05.data2_TGACTCCCAGGAGGTT-1", "d05.data2_GGTGGCTGTCGAACAG-1", "d05.data2_CGGAACCCAGGAAGTC-1", "d05.data2_AGAAATGAGGACTATA-1", "d05.data2_GCACATAGTGGCTAGA-1", "d05.data2_TGTGAGTCAATACAGA-1", "d05.data2_GATTCGAGTCTTACTT-1", "d05.data2_GGGTATTCAGAGTCTT-1", "d05.data2_TTACCATAGGGTTAGC-1", "d05.data2_TGTTTGTGTTACGCCG-1", "d05.data2_ATTCTACGTCAGCGTC-1", "d05.data2_CCTCATGTCGTTGTGA-1", "d05.data2_CGCGTGATCGTAGAGG-1", "d05.data2_TACCCGTTCGTCGGGT-1", "d05.data2_TCAATTCTCAAATAGG-1", "d05.data2_AATCGTGCATCGAACT-1", "d05.data2_CCTTGTGCAGTATTCG-1", "d05.data2_CGTTGGGAGAACTTCC-1", "d05.data2_CCTGTTGCAGCACACC-1", "d05.data2_CAGTGCGGTCCAGTTA-1", "d05.data2_GAGTCTAGTAGATCCT-1", "d05.data2_CATAAGCTCGTAGGGA-1", "d05.data2_CACAGGCTCGTGGGTC-1", "d05.data2_GAATCGTTCAAGGCTT-1", "d05.data2_CCTACGTCAATACGCT-1", "d05.data2_AAATGGAAGGGTGAAA-1", "d05.data2_CCTATCGGTTTCACAG-1", "d05.data2_TTCATTGAGGTCACAG-1", "d05.data2_GTTGTGAAGACTTCCA-1", "d05.data2_GGTTGTATCGTGGAAG-1", "d05.data2_CTGGCAGGTACGATCT-1", "d05.data2_CGTCCATGTTCGATTG-1", "d05.data2_ATTATCCTCGTTAGAC-1", "d05.data2_CGGAGAAAGGTAGATT-1", "d05.data2_TCGCTTGAGACCCGCT-1", "d05.data2_AGCGTATTCGGATAAA-1", "d05.data2_TCGTAGACAGAAGCGT-1", "d05.data2_AGGAATAGTGAGACCA-1", "d05.data2_GTAGGAGTCACTGGGC-1", "d05.data2_CTCATGCAGGTTGGAC-1", "d05.data2_AACGGGAAGTCATACC-1", "d05.data2_CATAGACGTGATGTAA-1", "d05.data2_ACATCCCTCTCTTCAA-1", "d05.data2_TGCTTCGAGCTCGACC-1", "d05.data2_GAGACTTGTGGTCCGT-1", "d05.data2_AGGTAGGTCTTGCAGA-1", "d05.data2_CTTTCAATCAGGGATG-1", "d05.data2_TGATGGTCAGCGATTT-1", "d05.data2_AGTCAACAGACTTAAG-1", "d05.data2_TTCTTGAAGAGGCGTT-1", "d05.data2_GTCATGATCGAAGAAT-1", "d05.data2_CGAGTTAGTACTCGAT-1", "d05.data2_AGATGCTTCATTTGTC-1", "d05.data2_AAGTGAATCTAAGAAG-1", "d05.data2_GGCGTCAGTCGTACAT-1", "d05.data2_TCCACGTCAGTCGCTG-1", "d05.data2_TTGTTGTGTCGTGGTC-1", "d05.data2_CCGATCTCATGGGATG-1", "d05.data2_GGAGCAAGTTACGATC-1", "d05.data2_CTTGATTCATGAGTAA-1", "d05.data2_GATTGGTAGGTGATCG-1", "d05.data2_AGTAACCGTCGATGCC-1", "d05.data2_TACGGGCGTTGGTGTT-1", "d05.data2_TTGTGGAGTGCAAGAC-1", "d05.data2_CATCGCTAGCGACAGT-1", "d05.data2_CTATCTAGTAGACAGC-1", "d05.data2_GTGTGGCGTTCAAACC-1", "d05.data2_TCTTGCGTCCCGAGAC-1", "d05.data2_CTCGAGGGTAGGGAGG-1", "d05.data2_ACGGAAGTCGCCGATG-1", "d05.data2_GCTGAATAGAACAGGA-1", "d05.data2_CGTAATGCAGGCACAA-1", "d05.data2_TGTGAGTCACAGGATG-1", "d05.data2_TTCGGTCAGACTGTTC-1", "d05.data2_TCAGGGCTCCCTGTTG-1", "d05.data2_GTGGAGACAGCGCGTT-1", "d05.data2_GCTCAAAGTCTATGAC-1", "d05.data2_GTCGTAACATTGCTGA-1", "d05.data2_TATCTGTCACTAGGTT-1", "d05.data2_GGAGGATTCTACACAG-1", "d05.data2_GCTTTCGGTATAGGAT-1", "d05.data2_TGGCGTGAGGAGTCTG-1", "d05.data2_TCGGGTGTCCGAAATC-1", "d05.data2_GTTGCTCTCCCAGGCA-1", "d05.data2_TATGTTCAGTGATGGC-1", "d05.data2_GACCAATAGCGGCTCT-1", "d05.data2_GTGTGATGTGCGAACA-1", "d05.data2_GATCCCTAGAGTCGAC-1", "d05.data2_CTCATCGCAAGAGTGC-1", "d05.data2_CCTCACATCGTTGTAG-1", "d05.data2_TGTGTGAAGCGTTCCG-1", "d05.data2_AGCCACGGTCGCTGCA-1", "d05.data2_TAGACCAAGTATGGCG-1", "d05.data2_TGGAACTAGGCGTCCT-1", "d05.data2_GGTCACGGTAAGATTG-1", "d05.data2_CCTATCGCATCTCAAG-1", "d05.data2_CAAGCTAGTGCTCTTC-1", "d05.data2_TTGCTGCAGGCTAGCA-1", "d05.data2_TGGGTTATCCGAAATC-1", "d05.data2_ATGAGGGGTCGCGTTG-1", "d05.data2_AGTGACTAGCGGTATG-1", "d05.data2_GATGTTGAGGGTTAAT-1", "d05.data2_GACTGATCAGAGAAAG-1", "d05.data2_TGCGATAAGCTCGAAG-1", "d05.data2_TGACTCCCAGAGTTGG-1", "d05.data2_GGTTAACAGTTAGAAC-1", "d05.data2_ATGTCCCGTCCTGGTG-1", "d05.data2_AGGGTGAAGCGCCGTT-1", "d05.data2_TAGGTTGAGAGTCAGC-1", "d05.data2_TGAGGAGAGGGTGGGA-1", "d05.data2_TTCTGTATCAGGCGAA-1", "d05.data2_CATTCCGCACAGAGCA-1", "d05.data2_GAGTCATGTCTGTGGC-1", "d05.data2_ACTGTGATCCTACCAC-1", "d05.data2_TGTTTGTAGCAGTACG-1", "d05.data2_ATGGTTGTCAACACGT-1", "d05.data2_ATGGGTTTCATTTCCA-1", "d05.data2_AGGTTGTGTTACTCAG-1", "d05.data2_TAACTTCTCCGATGTA-1", "d05.data2_CAACCTCGTATCGTTG-1", "d05.data2_GTAAGTCAGTAGAATC-1", "d05.data2_AATGAAGTCCATTGCC-1", "d05.data2_AGTCATGCAGAGGAAA-1", "d05.data2_ATCAGGTAGCTGGTGA-1", "d05.data2_AGTTCCCAGCAACTCT-1", "d05.data2_TCCTAATTCAACGAGG-1", "d05.data2_TGCAGATCAGTCTTCC-1", "d05.data2_CCAATTTCACAACGAG-1", "d05.data2_ACACGCGGTGCCGAAA-1", "d05.data2_TTTCCTCAGGAAGAAC-1", "d05.data2_GCTACAAAGTGCACAG-1", "d05.data2_GAGGGTAGTCCACATA-1", "d05.data2_CTAACTTAGCTAAATG-1", "d05.data2_GAGTTTGCAGGTAGTG-1", "d05.data2_TCATACTAGTTGGACG-1", "d05.data2_TTCGATTAGAGTCAAT-1", "d05.data2_GCACTAAAGACCCGCT-1", "d05.data2_GGTGATTAGTAAGGGA-1", "d05.data2_AGAGAATTCGAGTCCG-1", "d05.data2_GGTTAACTCGTGTGAT-1", "d05.data2_CTGCGAGCACTGGCGT-1", "d05.data2_TCTCAGCCACTGGCCA-1", "d05.data2_ATCGTGAAGCGCACAA-1", "d05.data2_ATTCCCGCACAGTCGC-1", "d05.data2_GCCAGCAGTAGCGCTC-1", "d05.data2_TTTGGTTTCTGTAAGC-1", "d05.data2_TTGAGTGGTCACGTGC-1", "d05.data2_TCGCAGGTCTCAACCC-1", "d05.data2_CCTCACAGTTCGAGCC-1", "d05.data2_AGAGAGCTCGCCAGAC-1", "d05.data2_TCCAGAAAGGTCATAA-1", "d05.data2_ATTCTTGTCAAACTGC-1", "d05.data2_GTGAGGAAGAGTGTTA-1", "d05.data2_TGGAACTGTGAGCAGT-1", "d05.data2_TCGGGCACAAGAAATC-1", "d05.data2_TATTGGGCATACCATG-1", "d05.data2_TTTGTTGAGCCTGTCG-1", "d05.data2_CCAAGCGAGTACCATC-1", "d05.data2_GTCGTTCTCAAACCCA-1", "d05.data2_AACCCAAGTCGCAGTC-1", "d05.data2_GCTGGGTAGTAGCCAG-1", "d05.data2_TGGCGTGAGTGGCCTC-1", "d05.data2_TCTAACTGTACCTGTA-1", "d05.data2_CCCATTGTCGCAGAGA-1", "d05.data2_AGAAGTAAGTCATCGT-1", "d05.data2_GATCACATCGGCGATC-1", "d05.data2_TGTTTGTGTTCGGCCA-1", "d05.data2_GACCCAGTCTGGTTGA-1", "d05.data2_CGTAAGTTCACTGAAC-1", "d05.data2_CGTAATGGTCGGCTAC-1", "d05.data2_ACAGAAAAGGTAGGCT-1", "d05.data2_GCACGTGGTGACACGA-1", "d05.data2_ATCTCTAAGGGTTAAT-1", "d05.data2_ATATCCTAGGCCTTGC-1", "d05.data2_AGGAGGTAGTGTTCCA-1", "d05.data2_TCTGGCTCAACACGAG-1", "d05.data2_ACGTAACGTCTTGCTC-1", "d05.data2_AACAAAGAGTTCATCG-1", "d05.data2_ATCCCTGCAAAGCGTG-1", "d05.data2_TGAGGAGGTCCTACGG-1", "d05.data2_CCATAAGGTTGCATGT-1", "d05.data2_CTACCTGGTATCGGTT-1", "d05.data2_TTCCACGTCGACGAGA-1", "d05.data2_AGCGCTGAGCCACTCG-1", "d05.data2_GTGCACGAGACGTCCC-1", "d05.data2_CGAGGAATCACTTGGA-1", "d05.data2_CATCAAGAGTAATTGG-1", "d05.data2_ACGTCCTCAGCTTTCC-1", "d05.data2_GAAATGACAGCCTATA-1", "d05.data2_TTGCTGCGTGGGCTCT-1", "d05.data2_AACAAGACATAAGCAA-1", "d05.data2_ATGAGTCAGTGACACG-1", "d05.data2_TACCTGCGTTGAGGAC-1", "d05.data2_CTTACCGAGTAGCCAG-1", "d05.data2_TAGACCATCCGTGGGT-1", "d05.data2_TTTCGATTCGGAGTGA-1", "d05.data2_AGAGCCCGTATCTCTT-1", "d05.data2_TCGGGCATCGCAAGAG-1", "d05.data2_CCGAACGTCATTACGG-1", "d05.data2_GTGACGCAGTCATACC-1", "d05.data2_TTACTGTTCGCGCTGA-1", "d05.data2_TGTAACGAGGGATCAC-1", "d05.data2_CTTACCGGTCGACTTA-1", "d05.data2_GGAATGGCATGAAGCG-1", "d05.data2_CTTCGGTCAGTAGTGG-1", "d05.data2_AACAAGACAAGAATAC-1", "d05.data2_AGAAATGGTTGTGCAT-1", "d05.data2_TACATTCAGCGAGTAC-1", "d05.data2_TATCTGTGTCCAGCGT-1", "d05.data2_TCGGGTGCATAACCCA-1", "d05.data2_GTTCTATGTGGATACG-1", "d05.data2_TGGGATTTCGCCGAGT-1", "d05.data2_GCTTGGGCATACCATG-1", "d05.data2_TCGGTCTCAAATGATG-1", "d05.data2_TGAGGAGAGGCGAACT-1", "d05.data2_TATCTTGCAGAGTGAC-1", "d05.data2_AGCTACAGTAGGTACG-1", "d05.data2_GTTGCGGAGACATACA-1", "d05.data2_TGGGCGTGTTCTTGCC-1", "d05.data2_AGGTAGGGTAGCACGA-1", "d05.data2_TAAGCCACACACGCCA-1", "d05.data2_GACCAATCATAGGTTC-1", "d05.data2_TTTGGTTGTCGCATCG-1", "d05.data2_CTTGAGAGTCGAGATG-1", "d05.data2_AGTAGTCTCTGTCCGT-1", "d05.data2_ACCTGAACAGCGACCT-1", "d05.data2_GCATGATGTTCCGCGA-1", "d05.data2_CACGTGGAGAGGGTAA-1", "d05.data2_GTCGTTCCAACGTATC-1", "d05.data2_ACTTTGTCACCAAAGG-1", "d05.data2_CTATCCGAGGCATGCA-1", "d05.data2_GCCATGGGTGAATTGA-1", "d05.data2_CACTAAGTCTCTCTTC-1", "d05.data2_GGTTGTACAAAGCTCT-1", "d05.data2_AACCAACTCTCGGTAA-1", "d05.data2_AGGTTGTTCGCGCTGA-1", "d05.data2_GTTACCCGTAATGTGA-1", "d05.data2_CTCAATTCAACGACAG-1", "d05.data2_TCAGTTTTCGGACGTC-1", "d05.data2_CGGTCAGTCAGCTTCC-1", "d05.data2_ACGATCAAGATGCAGC-1", "d05.data2_ATGCGATGTCTCTCCA-1", "d05.data2_TGTGGCGAGGTAATCA-1", "d05.data2_TGCAGGCGTTCTGACA-1", "d05.data2_AGTTCGACAGGTTCAT-1", "d05.data2_GATGGAGTCTTCGTAT-1", "d05.data2_GGAATGGCATTGTCGA-1", "d05.data2_AGGGCCTCAACCAATC-1", "d05.data2_TATACCTGTTGGCCGT-1", "d05.data2_AAGTTCGGTGCACATT-1", "d05.data2_TTCGCTGGTAGTCGTT-1", "d05.data2_ATTCGTTGTGTCCACG-1", "d05.data2_ATCGTGAGTTATTCTC-1", "d05.data2_ACGCACGAGTCACAGG-1", "d05.data2_ACAGGGACATTGTCGA-1", "d05.data2_CGACAGCTCCGCTAGG-1", "d05.data2_AGGTAGGGTGACAGCA-1", "d05.data2_TGACGCGCAGCGTAGA-1", "d05.data2_ACATTTCGTTTGAACC-1", "d05.data2_ACGATCAAGTTCCGGC-1", "d05.data2_TTGTTCACACGCGGTT-1", "d05.data2_TAGACTGAGACCAACG-1", "d05.data2_CCTGCATAGGTCTGGA-1", "d05.data2_GTGGCGTGTGCGGCTT-1", "d05.data2_AATCACGCATTCCTCG-1", "d05.data2_TTGTTTGTCTGTTGGA-1", "d05.data2_ATGGTTGAGCATCAAA-1", "d05.data2_CAGGTATGTCTGTGCG-1", "d05.data2_TCCTTTCTCACATTGG-1", "d05.data2_TACGCTCCACTTACAG-1", "d05.data2_AAAGGTAAGACAACAT-1", "d05.data2_ACTGCAATCGATACAC-1", "d05.data2_GTTACGACATGCACTA-1", "d05.data2_CCTACGTAGCGGATCA-1", "d05.data2_GGCAGTCAGTCTTCCC-1", "d05.data2_ACTATTCGTGCGTTTA-1", "d05.data2_TGCGACGAGACCTTTG-1", "d05.data2_CCTCACAAGGAAACGA-1", "d05.data2_TACCTCGGTGGAGGTT-1", "d05.data2_TCAGTTTGTTGGGACA-1", "d05.data2_AATGAAGAGAGTGTTA-1", "d05.data2_AGTTAGCCAAAGACTA-1", "d05.data2_CTGATCCTCGAAGCAG-1", "d05.data2_TGATCTTGTACGTGAG-1", "d05.data2_GTCATCCCATCGAAGG-1", "d05.data2_GGTAACTCAGGACATG-1", "d05.data2_TTCTTGATCTTCGACC-1", "d05.data2_GTTGCGGAGCTCCACG-1", "d05.data2_GAGTCTAGTCGTTGCG-1", "d05.data2_TGCAGTAGTATATGGA-1", "d05.data2_ACTCTCGAGATTGTGA-1", "d05.data2_TCAGTTTAGCTGACCC-1", "d05.data2_ACCTGAAAGGCCTTCG-1", "d05.data2_CACATGATCACTGGTA-1", "d05.data2_TACCGAAAGAATAGTC-1", "d05.data2_GCTGAATCAGCTGGTC-1", "d05.data2_CATTGAGTCACTTCTA-1", "d05.data2_TCAGCAAAGCTGTGCC-1", "d05.data2_AGCTCAATCAGCCCAG-1", "d05.data2_CAACAGTGTCCTGGGT-1", "d05.data2_GAAGGGTGTCCCTCAT-1", "d05.data2_GCTGGGTGTCGTCATA-1", "d05.data2_TCTTCCTTCTGTGCGG-1", "d05.data2_CCACGTTGTTGGTGTT-1", "d05.data2_CCGTAGGCAGTGTGGA-1", "d05.data2_TGGTAGTTCCCTCGTA-1", "d05.data2_AGGAATAAGCTATCTG-1", "d05.data2_ATTCTTGGTGGTCTAT-1", "d05.data2_GATCCCTGTGAAGCTG-1", "d05.data2_TGCGGCATCTTCGTGC-1", "d05.data2_GAGTTGTTCGAGATGG-1", "d05.data2_CGAGGCTGTGAGCCAA-1", "d05.data2_GATGTTGGTAAGGCTG-1", "d05.data2_CTCAACCAGGTACAGC-1", "d05.data2_CGAGTTAAGCCTCTGG-1", "d05.data2_CATGCAAGTTCGGGTC-1", "d05.data2_TGGCGTGGTTATGACC-1", "d05.data2_CTAGGTAGTATCGTAC-1", "d05.data2_TTCATTGTCGGATAAA-1", "d05.data2_ACAGAAATCCGATAAC-1", "d05.data2_GTAGTACAGCATGATA-1", "d05.data2_TGGGTTACATCGCTAA-1", "d05.data2_CCTCTAGGTGGATTTC-1", "d05.data2_TATTGGGGTCTAGGTT-1", "d05.data2_CGGGACTTCCGTGTCT-1", "d05.data2_CTGTGAAAGTGATGGC-1", "d05.data2_ACTTATCGTCACGTGC-1", "d05.data2_TCTCAGCGTAGCTAAA-1", "d05.data2_CACCAAAAGTTTGTCG-1", "d05.data2_AGCTTCCGTCAATGGG-1", "d05.data2_CATTGTTGTCACAGAG-1", "d05.data2_AGTTAGCTCTATGTGG-1", "d05.data2_ACTCCCACATCCTTCG-1", "d05.data2_ACGGGTCAGGCATCTT-1", "d05.data2_ACCTGAAGTGGACCAA-1", "d05.data2_CGAGAAGGTAGCTTGT-1", "d05.data2_CATTGCCAGGCCTAGA-1", "d05.data2_AATGGAAAGTAGGCCA-1", "d05.data2_TTTACCAAGGTGCAGT-1", "d05.data2_AGATCCATCTCGGTCT-1", "d05.data2_AGCCAGCGTAGTCCTA-1", "d05.data2_TGTCAGACATCCGGCA-1", "d05.data2_GGGATCCCAATGTCAC-1", "d05.data2_GCATCTCGTCTGTGCG-1", "d05.data2_GATGTTGCATATGCGT-1", "d05.data2_GACCTTCAGACTACCT-1", "d05.data2_TCCATCGAGTGGACTG-1", "d05.data2_ATGAGGGTCGAACTCA-1", "d05.data2_TAAGCCAAGACTACGG-1", "d05.data2_TGTGCGGAGTAAATGC-1", "d05.data2_GTCGCGATCCATAGGT-1", "d05.data2_CTGGTCTGTACTCCGG-1", "d05.data2_AGTAACCGTTTGCAGT-1", "d05.data2_AACCTTTCATGCACTA-1", "d05.data2_GAGGGATTCTGCGATA-1", "d05.data2_GTCCACTTCCGTATGA-1", "d05.data2_GGTGTCGCATATACCG-1", "d05.data2_GTTCATTTCAATGTCG-1", "d05.data2_GACCGTGTCTTTGGAG-1", "d05.data2_AGGATAAGTCGATGCC-1", "d05.data2_ACATGCAGTGAGACCA-1", "d05.data2_CGGGTCAGTTGGATCT-1", "d05.data2_TTTCGATGTCAGTCGC-1", "d05.data2_CACTAAGGTTCGTAAC-1", "d05.data2_CGGACACGTTATGACC-1", "d05.data2_TGTAAGCCACAATTCG-1", "d05.data2_GTTAGTGTCTTGGTGA-1", "d05.data2_TTGGTTTTCGAATGCT-1", "d05.data2_CCACCATCATCTGCGG-1", "d05.data2_CAGTTCCCAAATGGAT-1", "d05.data2_GGCTTTCCATATCGGT-1", "d05.data2_TCTGGCTGTAAGCAAT-1", "d05.data2_CTCTCAGTCGGTCACG-1", "d05.data2_GGGACAAAGGTGGTTG-1", "d05.data2_GGAGATGCATCCGTTC-1", "d05.data2_TGCGATACATGTGGTT-1", "d05.data2_CCTCATGGTCCTACGG-1", "d05.data2_GTCATCCGTGTAACGG-1", "d05.data2_AGTGTTGAGAAACTAC-1", "d05.data2_TCAGTTTGTCTGTCCT-1", "d05.data2_CACGTTCGTGTCTTCC-1", "d05.data2_GCAACCGTCGGATTAC-1", "d05.data2_GACAGCCCACGTCATA-1", "d05.data2_TCCCAGTAGGTGCTAG-1", "d05.data2_TTACGTTAGATGGCGT-1", "d05.data2_AGAAATGGTTGTGCCG-1", "d05.data2_CACGTTCAGTCCCGGT-1", "d05.data2_AGGGTCCAGCGACAGT-1", "d05.data2_CATCCGTAGATCGACG-1", "d05.data2_ATGGGAGCAGCCCAGT-1", "d05.data2_TTCATTGGTGAGGATC-1", "d05.data2_TACCTGCCATCACAGT-1", "d05.data2_TGACCCTGTTTACTGG-1", "d05.data2_CGTTGGGGTTCTCAGA-1", "d05.data2_CGAGGAAGTAGTCCTA-1", "d05.data2_CCAATGACACACAGAG-1", "d05.data2_TCAAGTGCAAGGGCAT-1", "d05.data2_GCACATACAACCGCCA-1", "d05.data2_AGTGCCGGTGTCGATT-1", "d05.data2_TCCTTCTTCACCCATC-1", "d05.data2_ATACCTTAGCTGCCTG-1", "d05.data2_TATTTCGTCCACGGGT-1", "d05.data2_ACATTTCCACATACTG-1", "d05.data2_TCGACGGCAGAGAATT-1", "d05.data2_GGGTTTAAGCGTGCCT-1", "d05.data2_TTGTTTGAGAAAGCGA-1", "d05.data2_AGCGCTGCAAGACCGA-1", "d05.data2_TCATTACAGAGTGAAG-1", "d05.data2_CTGAATGTCTCCATAT-1", "d05.data2_TGTTTGTCATTGTCGA-1", "d05.data2_GGGTCTGCAGAGGTTG-1", "d05.data2_GTAAGTCCAAGTTTGC-1", "d05.data2_TTAGGGTAGGCCCAAA-1", "d05.data2_GAGTTACAGTGCAACG-1", "d05.data2_CATAGACCAGAGTAAT-1", "d05.data2_GTTAGACAGATAGTCA-1", "d05.data2_CTGCAGGCAATTGTGC-1", "d05.data2_CACAGATGTTGCACGC-1", "d05.data2_GCTGAATAGTGGAATT-1", "d05.data2_TTTCACACAATCTGCA-1", "d05.data2_TCGCTTGGTAACATAG-1", "d05.data2_GAGTTACTCGGCTATA-1", "d05.data2_CTTGATTCAGAGTCAG-1", "d05.data2_ATGCATGCATATGCGT-1", "d05.data2_GATAGCTAGCTCTTCC-1", "d05.data2_ACATCCCTCAGCTAGT-1", "d05.data2_GCATTAGAGCCGAATG-1", "d05.data2_CACTGTCGTACTGGGA-1", "d05.data2_CTCCAACGTCTTGCTC-1", "d05.data2_CCCTGATTCACCGCTT-1", "d05.data2_TTTGATCGTGCCAAGA-1", "d05.data2_ATTCCATGTGAGCGAT-1", "d05.data2_GTTTACTGTTGTCTAG-1", "d05.data2_CCATCACGTATAATGG-1", "d05.data2_GAGTCTAGTAAGATCA-1", "d05.data2_TCGTCCAAGGCTGGAT-1", "d05.data2_CTGGCAGGTCGCACAC-1", "d05.data2_TTGTTGTCAGTCGTTA-1", "d05.data2_GACGCTGTCTGCCTGT-1", "d05.data2_GAGGGATCAGTCAACT-1", "d05.data2_GCACGTGCAGCCGTTG-1", "d05.data2_CCACTTGTCCAACTAG-1", "d05.data2_GTTCGCTGTTCGAGCC-1", "d05.data2_AACGTCAGTCTAACTG-1", "d05.data2_CTGGTCTGTTGCCTAA-1", "d05.data2_CATTCCGCAATCGAAA-1", "d05.data2_GATTTCTGTCCGGTCA-1", "d05.data2_GCATTAGGTCACAATC-1", "d05.data2_GTCATGAAGAGAATCT-1", "d05.data2_CGAGTTATCTGCGGGT-1", "d05.data2_AGCGTATCAGGTATGG-1", "d05.data2_TAACACGCATCGCTAA-1", "d05.data2_TTGTTCAGTATACCCA-1", "d05.data2_TTTCAGTGTGCATCTA-1", "d05.data2_AGACTCAAGCCATCCG-1", "d05.data2_TTCTCTCTCTTCCCGA-1", "d05.data2_CTCTGGTTCGTAGTCA-1", "d05.data2_ATACCGACAGGGATAC-1", "d05.data2_GCATGATAGATGTAGT-1", "d05.data2_TGCAGATCAATCTAGC-1", "d05.data2_GTTAGTGCACTCAGAT-1", "d05.data2_GGTAGAGAGCCATTTG-1", "d05.data2_TTCTAACTCCGTGACG-1", "d05.data2_CTGCATCCACGTCATA-1", "d05.data2_TGATCAGCACCCAACG-1", "d05.data2_ATCTCTATCCATATGG-1", "d05.data2_AAATGGAGTAATCAGA-1", "d05.data2_TTGCTGCAGATCCGAG-1", "d05.data2_CCTCCAAGTGGCGTAA-1", "d05.data2_GGAATGGTCGGCTGGT-1", "d05.data2_GTCGCGAGTAGCACAG-1", "d05.data2_TACCGAATCATGCAGT-1", "d05.data2_TCCTTTCGTCCATCTC-1", "d05.data2_ATATCCTAGGCTTCCG-1", "d05.data2_GCAACATGTGCTCGTG-1", "d05.data2_CATGCTCTCTCCGAGG-1", "d05.data2_CTCATTAAGACCGTTT-1", "d05.data2_TTGTGGAAGGTAGATT-1", "d05.data2_CTTGATTTCGATACAC-1", "d05.data2_TCGCTTGAGTGCTCGC-1", "d05.data2_CTGTGGGAGCTGTTAC-1", "d05.data2_AGGGTCCCAGAGGAAA-1", "d05.data2_TCCTAATCACGCGTCA-1", "d05.data2_GATGTTGCAACAGATA-1", "d05.data2_CTTACCGCATGATCTG-1", "d05.data2_TACCTCGGTTGGGATG-1", "d05.data2_GTTGCTCTCGACCAAT-1", "d05.data2_TGTTACTTCATCCTGC-1", "d05.data2_CTTTCAATCGGACTGC-1", "d05.data2_TATTCCAAGATGAATC-1", "d05.data2_CCTAACCTCTCCAATT-1", "d05.data2_TGCATGAGTTGGCCTG-1", "d05.data2_AACCAACAGACCTGGA-1", "d05.data2_ATGGGTTGTACTCCGG-1", "d05.data2_CGCCATTCATGAAAGT-1", "d05.data2_TGTCCACAGTAGTGCG-1", "d05.data2_CATTGTTGTTCAGCGC-1", "d05.data2_CAGGGCTAGCGATGAC-1", "d05.data2_TCTAACTGTATATGGA-1", "d05.data2_CCCGGAACAGACCGCT-1", "d05.data2_TTCTCTCAGGTGAGCT-1", "d05.data2_TGCGGCAGTGTCATGT-1", "d05.data2_AATTCCTTCTATCCAT-1", "d05.data2_TGCATGAAGTGTTCAC-1", "d05.data2_TATATCCTCTCATGCC-1", "d05.data2_GTCAAACGTGTAAACA-1", "d05.data2_GATTCTTAGGCTCAAG-1", "d05.data2_CGCGTGATCAGTGTTG-1", "d05.data2_TACAACGCAGAGTCTT-1", "d05.data2_GACCGTGAGAAGCCTG-1", "d05.data2_CCGGACAAGTGCGCTC-1", "d05.data2_CGGGCATGTGATTAGA-1", "d05.data2_GTCATGATCGCCAGTG-1", "d05.data2_ACTGATGGTTGGAGGT-1", "d05.data2_TATTGGGGTTGCTCGG-1", "d05.data2_GCGTGCAAGTCAGCGA-1", "d05.data2_CACCAAACAGCAAGAC-1", "d05.data2_TTCACGCAGATTCGCT-1", "d05.data2_CGGGACTCACACTTAG-1", "d05.data2_GGGACCTGTCGAACGA-1", "d05.data2_CTTACCGCAGCCGGTT-1", "d05.data2_CCTATCGTCAGGGATG-1", "d05.data2_GCGAGAACAGTCGTTA-1", "d05.data2_GTGATGTGTTGGACCC-1", "d05.data2_TCCAGAACAGACTCTA-1", "d05.data2_CTTGAGAGTTCTTAGG-1", "d05.data2_TGTGGCGGTGCAGTGA-1", "d05.data2_TAATTCCCATCGAGCC-1", "d05.data2_AGTGATCGTATGAAAC-1", "d05.data2_GAGTGTTGTGTCCCTT-1", "d05.data2_TCGGATAGTCGTTGGC-1", "d05.data2_TCCACGTTCGGCATCG-1", "d05.data2_TGAATGCCAAAGGCTG-1", "d05.data2_ATCAGGTAGCGTGAAC-1", "d05.data2_CGAAGGAAGTTGAAAC-1", "d05.data2_CCACACTTCACAGTGT-1", "d05.data2_TACACCCTCATACAGC-1", "d05.data2_AGGGTCCCATGACGTT-1", "d05.data2_GGGTAGAAGGTTATAG-1", "d05.data2_GAACACTAGCACCGTC-1", "d05.data2_AGTAACCTCATTCGGA-1", "d05.data2_GATTGGTAGCAGTACG-1", "d05.data2_ATTACTCAGTTCTACG-1", "d05.data2_TCCCATGGTATTTCTC-1", "d05.data2_GCATCTCGTATTCCTT-1", "d05.data2_CCACGTTCAAGCGCTC-1", "d05.data2_TTCTCTCCATAATGCC-1", "d05.data2_TATCTGTCACAGTCAT-1", "d05.data2_CATGAGTAGACGCCAA-1", "d05.data2_GGTAGAGCACTCCTTG-1", "d05.data2_CTGTCGTTCTAGAGCT-1", "d05.data2_CTCAAGAGTAGATCCT-1", "d05.data2_GTATTGGTCATGAGGG-1", "d05.data2_ATTACTCGTACAATAG-1", "d05.data2_ACACTGAGTTGTACGT-1", "d05.data2_ATCGGATTCTGTTCAT-1", "d05.data2_TGTTACTAGCACTCCG-1", "d05.data2_TGTGGCGGTCAGATTC-1", "d05.data2_ATTACCTAGGTATCTC-1", "d05.data2_GGTCTGGTCAGGAGAC-1", "d05.data2_CCGTTCATCACTCGAA-1", "d05.data2_GACTCAATCTTGGGCG-1", "d05.data2_TGATTCTAGGCGACAT-1", "d05.data2_AACACACGTATACCCA-1", "d05.data2_CACGTGGGTTACGCCG-1", "d05.data2_CAATGACCACAAGCTT-1", "d05.data2_CCACAAAAGCATGGGT-1", "d05.data2_CTCCTTTTCAAAGCCT-1", "d05.data2_AAGTTCGGTGAGTCAG-1", "d05.data2_CTAACTTCAGTCAGCC-1", "d05.data2_TCCAGAACATTAGGAA-1", "d05.data2_TGTAACGAGCACTCGC-1", "d05.data2_ATCCACCCATAGGTTC-1", "d05.data2_CAATACGGTCATCGCG-1", "d05.data2_GACTGATAGGACAGCT-1", "d05.data2_CCAATGAAGCCGAATG-1", "d05.data2_GCGAGAAGTAGTGCGA-1", "d05.data2_GTTACGAGTTCCACAA-1", "d05.data2_CGAGTTACAGGTCCGT-1", "d05.data2_CAGAGCCGTAGCACAG-1", "d05.data2_CCTCTAGGTAGGGAGG-1", "d05.data2_CTGGACGGTCAGTCCG-1", "d05.data2_CTCCCTCTCCTTATGT-1", "d05.data2_ATGAGGGTCAGTGGGA-1", "d05.data2_GTCGAATTCCAATCCC-1", "d05.data2_ACGTTCCGTGAGCTCC-1", "d05.data2_AGTACCAAGATCCCAT-1", "d05.data2_TTACTGTCACCTGATA-1", "d05.data2_GATTTCTGTGTGATGG-1", "d05.data2_TCCACCACATCGGTTA-1", "d05.data2_CCACAAATCACTCTTA-1", "d05.data2_GTCTTTAGTTCTATCT-1", "d05.data2_ACTTCGCGTACGCTAT-1", "d05.data2_GTGGAGACACGTAGTT-1", "d05.data2_GCCAGCAAGTGCACTT-1", "d05.data2_ACCTGTCCAGGGATAC-1", "d05.data2_GTTAGACAGTAGGATT-1", "d05.data2_ACGGAAGGTAGGTGCA-1", "d05.data2_AACAGGGAGGACTATA-1", "d05.data2_TAGACTGCACCTTCGT-1", "d05.data2_AGGGCTCAGTCTGCGC-1", "d05.data2_TACTTGTTCCGATCTC-1", "d05.data2_TTTGACTGTATGGAAT-1", "d05.data2_ATAGGCTCAAGTCCCG-1", "d05.data2_TCTTGCGAGGCGAAGG-1", "d05.data2_TCCATGCAGTGCGACA-1", "d05.data2_ACCATTTCAGTTCCAA-1", "d05.data2_GGGTCTGGTCAGTTTG-1", "d05.data2_CTGTGGGTCTGCAGCG-1", "d05.data2_ACGATGTCAGCTCTGG-1", "d05.data2_TGTCCCACATGTACGT-1", "d05.data2_GCTGGGTAGACACACG-1", "d05.data2_ACTATCTGTGCTCCGA-1", "d05.data2_ATTCTTGCAAGTTGGG-1", "d05.data2_TTGCTGCTCGCAGAGA-1", "d05.data2_AGTCATGTCTTCGCTG-1", "d05.data2_CATTGCCTCGCCAATA-1", "d05.data2_CTCACTGGTTCGGCTG-1", "d05.data2_CCTGCATCATCCCGTT-1", "d05.data2_ATTCCCGAGTGACCTT-1", "d05.data2_AGATCCAGTTGCATTG-1", "d05.data2_TCATTCAGTGGAGGTT-1", "d05.data2_ATTACTCCATCCCGTT-1", "d05.data2_TACTTGTTCGTGCGAC-1", "d05.data2_GATCGTACATTGCTTT-1", "d05.data2_ACTGTCCGTTAACCTG-1", "d05.data2_GGCTGTGCAGCGTAGA-1", "d05.data2_TGGGAAGGTCGCGTCA-1", "d05.data2_AACCATGGTTACCTTT-1", "d05.data2_GCGGATCCAGGAGGTT-1", "d05.data2_AATAGAGTCATCCTAT-1", "d05.data2_ACAAGCTAGGAGGTTC-1", "d05.data2_TTGACCCTCATGGGAG-1", "d05.data2_CCATAAGAGGCATCGA-1", "d05.data2_GGCACGTAGTCAAGCG-1", "d05.data2_GCTACAACAGTCAGCC-1", "d05.data2_ACCCTTGGTGATAGAT-1", "d05.data2_GAAATGATCTCCACTG-1", "d05.data2_TGTTGGAAGAGTCACG-1", "d05.data2_GATAGCTTCTACGGGC-1", "d05.data2_CCTCACACAATAGTAG-1", "d05.data2_AAACGCTCAACGAGGT-1", "d05.data2_GGTTGTATCAACCTTT-1", "d05.data2_CAATGACCACGACGTC-1", "d05.data2_TGCTTGCGTCATATGC-1", "d05.data2_GTGTGGCTCGTTAGTG-1", "d05.data2_ATGGTTGAGTAGTCCT-1", "d05.data2_GATTGGTAGGTCTGGA-1", "d05.data2_AGGGCCTGTCCGGATC-1", "d05.data2_CTGTGGGAGCTCGTGC-1", "d05.data2_AGCGCCAAGGAGTCTG-1", "d05.data2_CAACGGCTCTTGTGCC-1", "d05.data2_TATGTTCGTGGCACTC-1", "d05.data2_GAGAGGTCACAAATGA-1", "d05.data2_TCGACCTTCCGTAATG-1", "d05.data2_AGACAGGCACTCATAG-1", "d05.data2_TAACTTCCAACGCCCA-1", "d05.data2_TGGGCTGAGGGCGAAG-1", "d05.data2_ATGGAGGCACGTGAGA-1", "d05.data2_AAACGAAGTGACACGA-1", "d05.data2_ATGGTTGCAACGGTAG-1", "d05.data2_TCCGATCCACAGTCCG-1", "d05.data2_TAGGAGGCACTTCATT-1", "d05.data2_TGCGACGAGTCTTCGA-1", "d05.data2_GTAAGTCAGCGACTGA-1", "d05.data2_AGATCGTAGCACCGAA-1", "d05.data2_TTGCGTCCAGCATGCC-1", "d05.data2_TTGCGTCTCCGTTGAA-1", "d05.data2_TCATTTGCAGTCGCTG-1", "d05.data2_CGCGTGAGTTCGAAGG-1", "d05.data2_CTAAGTGTCCAACTGA-1", "d05.data2_TTGTTGTAGTTAGTGA-1", "d05.data2_GAGGGATTCGTTCCCA-1", "d05.data2_TGTTCTAAGCACCGTC-1", "d05.data2_TGGGCTGGTTGCTCAA-1", "d05.data2_TGCATCCGTTGACGGA-1", "d05.data2_GAGACCCTCCACTAGA-1", "d05.data2_ATCCCTGAGGCACCAA-1", "d05.data2_CTGTCGTCATGGGAAC-1", "d05.data2_GGGTATTAGCACCCAC-1", "d05.data2_TCATTCAGTCAACCTA-1", "d05.data2_AGGTCTACATACAGGG-1", "d05.data2_ATGGGTTCAAGATCCT-1", "d05.data2_CCTCAGTCAACAGCTT-1", "d05.data2_TGGGTTAGTAACTTCG-1", "d05.data2_ACCGTTCCATGGGATG-1", "d05.data2_TTCCAATGTCTAACGT-1", "d05.data2_TGGTTAGCAGGCTATT-1", "d05.data2_CACGTGGAGTACTGTC-1", "d05.data2_TCGCTCAGTATGTGTC-1", "d05.data2_CTCATTAGTAGTGGCA-1", "d05.data2_TTTCGATAGGCAGCTA-1", "d05.data2_ATGAAAGTCCCAAGTA-1", "d05.data2_AATCGACTCCACGTCT-1", "d05.data2_ACATCCCGTGGATCGA-1", "d05.data2_GTTCTATTCGCTGCGA-1", "d05.data2_TCGTCCAAGTGAGGCT-1", "d05.data2_TACGGTATCCGGCAGT-1", "d05.data2_CAGATCAGTATGTCTG-1", "d05.data2_CGTGAATGTCGTTATG-1", "d05.data2_GAATCACGTGATACCT-1", "d05.data2_GGTGATTAGCCATATC-1", "d05.data2_AGGCCACAGCCATGCC-1", "d05.data2_ATTGTTCCAGACACAG-1", "d05.data2_CAGTTCCTCTCTTCAA-1", "d05.data2_TCAGGGCGTAAGACCG-1", "d05.data2_GTTGAACCACCAGACC-1", "d05.data2_GTTCTATAGTAATACG-1", "d05.data2_CCACACTGTCGTTATG-1", "d05.data2_GAGTGAGTCAGAGTGG-1", "d05.data2_GGCTTTCCACCAGTTA-1", "d05.data2_AAGTCGTCAGGTTCAT-1", "d05.data2_AAAGGATAGCCTGTCG-1", "d05.data2_TTCCGGTAGGACGCTA-1", "d05.data2_AGGACGATCATTCGGA-1", "d05.data2_AGGATAACATGGAGAC-1", "d05.data2_CAGTGCGCATCTATCT-1", "d05.data2_TGGGATTTCGGCCCAA-1", "d05.data2_TATACCTCACAAACGG-1", "d05.data2_CAACGATCACATGGTT-1", "d05.data2_GGAGCAAAGCCATTCA-1", "d05.data2_CCTCTCCTCGGCGATC-1", "d05.data2_TTTAGTCTCGGCCAAC-1", "d05.data2_TTAGGCAGTTCTAAGC-1", "d05.data2_ATTTCTGGTTATGACC-1", "d05.data2_ACCTGTCGTCGTTGGC-1", "d05.data2_CCTGTTGGTTCGTAAC-1", "d05.data2_GAGCCTGTCTACCAGA-1", "d05.data2_AACGTCAAGTCGGCCT-1", "d05.data2_AGGATAATCCATCACC-1", "d05.data2_CAGCAATTCATGCCCT-1", "d05.data2_GTAGATCAGCGGACAT-1", "d05.data2_ATCCGTCTCGAAGCAG-1", "d05.data2_TTTGGTTTCCCATACC-1", "d05.data2_ACGTTCCGTACATTGC-1", "d05.data2_GTAAGTCCACCCTCTA-1", "d05.data2_GATGACTTCCATACAG-1", "d05.data2_CCACACTTCTCCGTGT-1", "d05.data2_ATTTACCTCGCCTATC-1", "d05.data2_TGGGATTAGGCTTAGG-1", "d05.data2_TTCTAACAGATCGCTT-1", "d05.data2_GTGTTAGTCACGATCA-1", "d05.data2_CCAAGCGGTAACAGGC-1", "d05.data2_GCCAGCAGTGTGTCCG-1", "d05.data2_CTACCCATCGGCTGTG-1", "d05.data2_ACTATCTTCATGAGTC-1", "d05.data2_ACTTTCATCAATCAGC-1", "d05.data2_CAACGGCCAATGGCCC-1", "d05.data2_CAAAGAAGTCTAGGTT-1", "d05.data2_CTTCCGAAGGTTCAGG-1", "d05.data2_CCATCACCAACATACC-1", "d05.data2_TAACGACAGGACTGGT-1", "d05.data2_GCGTGCATCGCGGACT-1", "d05.data2_CTCATTAAGAGGCGTT-1", "d05.data2_ATGAGGGGTTAGGGTG-1", "d05.data2_TTGATGGCAGGCGAAT-1", "d05.data2_GATTCGATCTTACCGC-1", "d05.data2_CCCTAACTCTTCCGTG-1", "d05.data2_TCGGTCTTCCGATCGG-1", "d05.data2_CTCCGATTCGGAAGGT-1", "d05.data2_CAACGGCAGCACCAGA-1", "d05.data2_TTCTGTAAGAAATGGG-1", "d05.data2_TTTGGTTCAGTCTCTC-1", "d05.data2_CAAGGGATCGCCAACG-1", "d05.data2_AGAGCAGCAAACTAGA-1", "d05.data2_CGTTGGGTCTATCGGA-1", "d05.data2_ACTGCAACAGGTCTCG-1", "d05.data2_CGAGGAACAGAGGGTT-1", "d05.data2_CATGAGTGTCTCTCAC-1", "d05.data2_CAGTGCGCAGCGATTT-1", "d05.data2_CTCCGATTCTGTAAGC-1", "d05.data2_TGAACGTGTAATGCTC-1", "d05.data2_AAACGCTGTTAGAGAT-1", "d05.data2_AGTACCACAGTGTGGA-1", "d05.data2_GTCACGGCATCTTTCA-1", "d05.data2_CTGTATTTCCGTTTCG-1", "d05.data2_CTACCCAGTTTCGTTT-1", "d05.data2_AAAGGGCCACAGTGAG-1", "d05.data2_CAGATACGTGTGCTTA-1", "d05.data2_GAGATGGGTCCAAATC-1", "d05.data2_GCGAGAAGTACCCGCA-1", "d05.data2_GATTTCTTCCCAGTGG-1", "d05.data2_CACATGAAGATCGGTG-1", "d05.data2_AGGGAGTCAACTTCTT-1", "d05.data2_GTAGGTTAGCGACTGA-1", "d05.data2_AGTAACCTCCTCACGT-1", "d05.data2_GACAGCCGTAACATGA-1", "d05.data2_CAAAGAATCAGCGTCG-1", "d05.data2_GGGTGTCAGGATTTGA-1", "d05.data2_TTCGATTGTACCCACG-1", "d05.data2_ATTCCTAAGGCACGAT-1", "d05.data2_TCGGATAGTCGCCACA-1", "d05.data2_GTCACGGAGTGACACG-1", "d05.data2_TCACGGGTCGTTATCT-1", "d05.data2_TGGAGGATCACCTGTC-1", "d05.data2_CCTTGTGAGTGATAAC-1", "d05.data2_CGGGCATTCGGCTGGT-1", "d05.data2_GCCAGTGAGCGGGTAT-1", "d05.data2_TCATACTAGTGGTCAG-1", "d05.data2_ACCCTTGGTGGATTTC-1", "d05.data2_GTGACGCGTTGGTGTT-1", "d05.data2_TACAACGAGTATTGCC-1", "d05.data2_CCATCACTCGCCTAGG-1", "d05.data2_TCACTATAGAGCCCAA-1", "d05.data2_GCGGATCCATAGATCC-1", "d05.data2_TGTGAGTAGGCACAAC-1", "d05.data2_TTGCATTTCTCTCTAA-1", "d05.data2_CTTAGGATCCATTTGT-1", "d05.data2_TAAGCCATCATGTCTT-1", "d05.data2_GAATCGTCAGTTGGTT-1", "d05.data2_GACACGCTCATCCCGT-1", "d05.data2_ACCCTCAAGGAACGTC-1", "d05.data2_ACCTACCGTAATCAAG-1", "d05.data2_TCGGGCATCGATCCAA-1", "d05.data2_TCACACCTCAACCTTT-1", "d05.data2_GAACACTTCTGACCCT-1", "d05.data2_TGAGCGCTCCGAACGC-1", "d05.data2_GAACTGTCACTTCAAG-1", "d05.data2_CTAACTTGTGCATTAC-1", "d05.data2_TGTTCATCATGTTACG-1", "d05.data2_TCATTACAGGCGAAGG-1", "d05.data2_CTGCCTATCGTCCATC-1", "d05.data2_CATAAGCTCTCCCATG-1", "d05.data2_ATTTCACTCCGATAGT-1", "d05.data2_CCACGTTGTGAGGAAA-1", "d05.data2_AGCTTCCAGTATGACA-1", "d05.data2_GGGACTCTCAGTAGGG-1", "d05.data2_TTACCGCGTAGCGCCT-1", "d05.data2_ATCACTTCACTGGACC-1", "d05.data2_CTCAAGAAGGTTTACC-1", "d05.data2_TACGTCCTCAACGTGT-1", "d05.data2_TGGAACTGTGCGTTTA-1", "d05.data2_CCTGTTGAGTGATAAC-1", "d05.data2_ACCATTTGTACCCGAC-1", "d05.data2_TTTCACAGTGGCTGAA-1", "d05.data2_CACATGAGTCATCAGT-1", "d05.data2_TGCTTCGGTCCACAGC-1", "d05.data2_CTGCCTACAACAAGTA-1", "d05.data2_TTTCATGAGGGCTTCC-1", "d05.data2_CTAACTTGTACGCTTA-1", "d05.data2_ATGCATGAGCATGCAG-1", "d05.data2_CGCATAATCCAGTTCC-1", "d05.data2_GTGTGATCATTGGGAG-1", "d05.data2_GAGCCTGAGTGAACAT-1", "d05.data2_AACGTCAGTTCAAGTC-1", "d05.data2_AGCGCTGCAGAGTGAC-1", "d05.data2_AAACGAATCACCTCGT-1", "d05.data2_TAGCACAAGACTACGG-1", "d05.data2_CTCCCTCCAATTGGTC-1", "d05.data2_CATGCCTTCCCATTCG-1", "d05.data2_CTGTATTCAGTCGCTG-1", "d05.data2_CATGGATAGGTAGCCA-1", "d05.data2_AGTAACCTCCACTTTA-1", "d05.data2_AACCTTTTCGTGGGAA-1", "d05.data2_GTTGCTCAGGCATCGA-1", "d05.data2_AAGACAATCAACGTGT-1", "d05.data2_TACCTCGAGTTGTCGT-1", "d05.data2_GTGTAACAGAATCGAT-1", "d05.data2_CCGTTCACATGACAAA-1", "d05.data2_TGTCCTGCATCGATAC-1", "d05.data2_ATGCATGTCCCTCAAC-1", "d05.data2_GCCAGTGTCTGCGGGT-1", "d05.data2_TATTGCTCACCTGCAG-1", "d05.data2_TGCAGTATCGAGTCCG-1", "d05.data2_TTGTTCATCTGCATAG-1", "d05.data2_TGCACGGAGCTCACTA-1", "d05.data2_ATGGTTGTCATCTGTT-1", "d05.data2_CATTTCAGTGCCTACG-1", "d05.data2_AGACAAACACTTGTGA-1", "d05.data2_ACAAAGAGTGATAGTA-1", "d05.data2_CACAACAAGCCTCAAT-1", "d05.data2_GCCGATGCAACTCCAA-1", "d05.data2_AATCGACAGGTCCCTG-1", "d05.data2_TACGTCCGTCAGTCTA-1", "d05.data2_AGGAATAGTCACTTCC-1", "d05.data2_GTTGCGGGTCCTGTTC-1", "d05.data2_CGATGCGCATTCTTCA-1", "d05.data2_TGTAAGCAGAATTGTG-1", "d05.data2_TTCTGTATCGGCATTA-1", "d05.data2_TCACATTTCTTTGCAT-1", "d05.data2_AGACCCGCAAGGATGC-1", "d05.data2_AGTCACAGTGTCTTGA-1", "d05.data2_TGGGCTGAGCTAGAGC-1", "d05.data2_TCAGTGATCCCGAGAC-1", "d05.data2_GTTGTGAAGCGTTACT-1", "d05.data2_GGCTTTCAGCCACCGT-1", "d05.data2_GTGTGATTCGAACGCC-1", "d05.data2_GAAGAATTCGCTACGG-1", "d05.data2_CGTTGGGGTCCACAGC-1", "d05.data2_TTTACCATCCATTGCC-1", "d05.data2_ACACCAAGTGCAACAG-1", "d05.data2_TAGGGTTAGCATGATA-1", "d05.data2_AAGAACAAGTAGTCTC-1", "d05.data2_CATTGTTTCCAATGCA-1", "d05.data2_GACACGCTCAGGTAAA-1", "d05.data2_CACTGTCAGCCTCAGC-1", "d05.data2_GGGTTATTCATCTATC-1", "d05.data2_CTTGATTAGATGACAT-1", "d05.data2_ACCTGTCAGAATCTAG-1", "d05.data2_TCCCAGTCAACAAAGT-1", "d05.data2_TGATCTTGTAACGTTC-1", "d05.data2_TCATGCCAGAATCTAG-1", "d05.data2_CTGAATGCAGTATGAA-1", "d05.data2_GAGCTGCAGTAATTGG-1", "d05.data2_GCACGTGTCGCTATTT-1", "d05.data2_CAGCGTGCATAGAATG-1", "d05.data2_GAGTCTAGTTCAAACC-1", "d05.data2_GTTCCGTAGGCATCTT-1", "d05.data2_TGCAGGCAGATAGCTA-1", "d05.data2_TGAGCATAGAATCGAT-1", "d05.data2_GCCAGTGGTCTCTCAC-1", "d05.data2_TGATGCAAGTACTGTC-1", "d05.data2_CTGTATTAGGGAGGTG-1", "d05.data2_ATTCCATTCCATTTGT-1", "d05.data2_CTCAGAAGTCAACCAT-1", "d05.data2_TCAAGTGGTCACTAGT-1", "d05.data2_GATGTTGAGTAGTCCT-1", "d05.data2_CATGCCTGTAGTATAG-1", "d05.data2_ACCGTTCTCTACGGGC-1", "d05.data2_ATTCCTACACCAGTTA-1", "d05.data2_AGTGCCGGTTAGAAGT-1", "d05.data2_CATGCTCCATGTGACT-1", "d05.data2_CTGGACGTCCCTTGTG-1", "d05.data2_GTTACAGAGACATCAA-1", "d05.data2_AGCGATTAGTTCCGTA-1", "d05.data2_GTGGCGTTCCGCGGAT-1", "d05.data2_CGGGCATAGACATCCT-1", "d05.data2_AGGGCCTGTTGGCCGT-1", "d05.data2_TGGGAAGTCCCAGGAC-1", "d05.data2_ACCGTTCTCTGTGCTC-1", "d05.data2_TTCTCTCCACCTCAGG-1", "d05.data2_TACACCCTCGAGCCAC-1", "d05.data2_TCTTTGAGTCGGTGAA-1", "d05.data2_CGTGCTTTCCACGGAC-1", "d05.data2_AGAAGTACATATACCG-1", "d05.data2_GAGCTGCGTCGCTTAA-1", "d05.data2_GTGGCGTTCAGACCTA-1", "d05.data2_CGAGAAGCACACGTGC-1", "d05.data2_CTCTCAGTCTCAAAGC-1", "d05.data2_TGCCGAGAGACAGTCG-1", "d05.data2_ACCCTCAAGGTTAAAC-1", "d05.data2_CCCTAACCAACTTCTT-1", "d05.data2_GACACGCGTCAAGTTC-1", "d05.data2_TTCAATCCAGAACTTC-1", "d05.data2_ACTTCGCCACCAGGTC-1", "d05.data2_ACCGTTCAGTGCCAGA-1", "d05.data2_GTCAAACGTCCAGTTA-1", "d05.data2_TTGCCTGCATGGCCCA-1", "d05.data2_ACTTATCGTTTGTTGG-1", "d05.data2_AGGATAAAGTTACGTC-1", "d05.data2_TCACTCGCAAATGGAT-1", "d05.data2_TCCTCTTCAAATCGTC-1", "d05.data2_CACTGAAGTTCAGCGC-1", "d05.data2_ACAAAGAAGGAGAGGC-1", "d05.data2_GTCAGCGGTTTCCCAC-1", "d05.data2_CATCCGTAGTAAGACT-1", "d05.data2_ACATCCCAGAGAAGGT-1", "d05.data2_GTTCATTGTCCACACG-1", "d05.data2_CCACCATCATGTTTGG-1", "d05.data2_TCCTAATCAAATACAG-1", "d05.data2_ATACTTCGTGTCGCTG-1", "d05.data2_GGGTTATCAAGAGTTA-1", "d05.data2_AATGGAACAAACACCT-1", "d05.data2_TCTCCGACAGTTGGTT-1", "d05.data2_GCACTAACAAGTTCGT-1", "d05.data2_CCTCTAGAGTATGGCG-1", "d05.data2_GGGTATTAGTGATTCC-1", "d05.data2_AGAGAATGTCCAGCCA-1", "d05.data2_TAACCAGAGTCCCGGT-1", "d05.data2_GAACTGTAGCGGCTCT-1", "d05.data2_TCTCAGCCAGTTTCAG-1", "d05.data2_TCTTAGTCATCGATCA-1", "d05.data2_CCACTTGGTCGCTTGG-1", "d05.data2_CGGAATTCAAGGCTTT-1", "d05.data2_TGGCGTGAGTCGCTAT-1", "d05.data2_ACACGCGTCAGACATC-1", "d05.data2_GTGCAGCCAAACTCTG-1", "d05.data2_CCTAACCGTAGATTAG-1", "d05.data2_GTCACTCCACTTGTGA-1", "d05.data2_TCATCCGCAGCGACCT-1", "d05.data2_GAAGCGAAGATCCGAG-1", "d05.data2_ATGTCCCGTTGCATCA-1", "d05.data2_AGGTAGGTCGCTGTCT-1", "d05.data2_TCGACCTGTGCGAGTA-1", "d05.data2_CTCCCAAGTATCCTTT-1", "d05.data2_CTTAGGACATAGAATG-1", "d05.data2_ATTCCCGGTTCGTTCC-1", "d05.data2_TGGAACTTCTCCTGTG-1", "d05.data2_ACTACGAAGCTCGCAC-1", "d05.data2_GGTAACTGTTCGTGCG-1", "d05.data2_ACTGATGTCCCAATAG-1", "d05.data2_CGACAGCCAAACTCGT-1", "d05.data2_ACCAAACCACATGACT-1", "d05.data2_CCTCAGTAGATACCAA-1", "d05.data2_TGGAGAGGTGGGCTCT-1", "d05.data2_GAGCCTGCAGCTAACT-1", "d05.data2_ATTCAGGAGATGCTAA-1", "d05.data2_TGGAGAGGTTGATCGT-1", "d05.data2_TATACCTGTGGTCCGT-1", "d05.data2_ATTGTTCGTTTCGATG-1", "d05.data2_GTAATCGAGCGCCTAC-1", "d05.data2_AAGATAGTCGTTCAGA-1", "d05.data2_ATGAAAGCACTGGATT-1", "d05.data2_ATAGACCCAGTCACGC-1", "d05.data2_GAACGTTTCCTCTAGC-1", "d05.data2_ATTCACTAGCGACTTT-1", "d05.data2_CTTCAATGTTTAGAGA-1", "d05.data2_CACAGGCCACTTGGGC-1", "d05.data2_CGACAGCCAGTTGTCA-1", "d05.data2_CAGGTATCAATCGCCG-1", "d05.data2_TGGTTAGGTCGTAATC-1", "d05.data2_TGACGCGAGTTCCGTA-1", "d05.data2_AAGCGAGAGGCCTGCT-1", "d05.data2_AGCTACAGTTTCGTTT-1", "d05.data2_ACGGTTAGTTTCACTT-1", "d05.data2_AAAGAACCACCTCTGT-1", "d05.data2_TTGGGTATCGTGTGAT-1", "d05.data2_TTGATGGAGGAATTAC-1", "d05.data2_CGAGGAATCAAGAAAC-1", "d05.data2_TGTGTGAGTTGTCCCT-1", "d05.data2_GCTACCTTCCGACGGT-1", "d05.data2_CAGTTCCAGCCATTCA-1", "d05.data2_CACGAATGTGCTATTG-1", "d05.data2_CCACGTTAGCCTGAGA-1", "d05.data2_ATGGATCGTATAGCTC-1", "d05.data2_GTGGTTACAGCTGCCA-1", "d05.data2_CAGGGCTGTACCCACG-1", "d05.data2_TTGTGTTAGTATTGCC-1", "d05.data2_CATCCACGTTACCCAA-1", "d05.data2_AACCTTTGTGTTAACC-1", "d05.data2_CCTTCAGGTAGCGATG-1", "d05.data2_TACCGAATCCCGGTAG-1", "d05.data2_CCTATCGGTTAAACAG-1", "d05.data2_TCATTTGCAGGAGGAG-1", "d05.data2_TAGGTTGCAGCAGGAT-1", "d05.data2_GGGTATTCAATCTCTT-1", "d05.data2_GTCTAGATCCACTTTA-1", "d05.data2_ACATCGAGTAAGCGGT-1", "d05.data2_TTTACGTGTCGTATGT-1", "d05.data2_AGGGTGAAGAGCCCAA-1", "d05.data2_ATTTACCCACGTACAT-1", "d05.data2_GCAGTTAGTTGTTTGG-1", "d05.data2_ATCTCTACATCTCCCA-1", "d05.data2_GTTGTGAGTAATTAGG-1", "d05.data2_CAGATCAGTAGACAGC-1", "d05.data2_ATGTCCCAGTCTAGCT-1", "d05.data2_AGGGTGAGTCCGTACG-1", "d05.data2_AGTACTGGTTACCTGA-1", "d05.data2_CACATGACAGACCATT-1", "d05.data2_GATTTCTCACAAATAG-1", "d05.data2_GGCGTCACACTAGGTT-1", "d05.data2_TCTTGCGAGTGGAATT-1", "d05.data2_TGATTTCAGTTCACTG-1", "d05.data2_CAACAGTGTCTATGAC-1", "d05.data2_CTTAGGACAGTTGCGC-1", "d05.data2_TGTGCGGCATGCCGCA-1", "d05.data2_CTGCCTAAGTTGGACG-1", "d05.data2_ACTTATCCACGACGAA-1", "d05.data2_CTCCACAGTACCCAGC-1", "d05.data2_CCTCTAGTCGAAATCC-1", "d05.data2_TAGCACATCGATGCAT-1", "d05.data2_CATTTCATCGTTCTGC-1", "d05.data2_CCATAAGGTGGATACG-1", "d05.data2_TCGGATACACCCTATC-1", "d05.data2_CACTGTCCAGTCGAGA-1", "d05.data2_GTGGAGATCAAGTTGC-1", "d05.data2_GGGCGTTTCGCCTTTG-1", "d05.data2_GAAACCTGTATCCCAA-1", "d05.data2_AGCGATTGTGAAGCGT-1", "d05.data2_TAGGGTTAGTAAGAGG-1", "d05.data2_TTGGGTATCCTAAACG-1", "d05.data2_GTCGTTCGTTCGTGCG-1", "d05.data2_AGCTTCCGTACGGTTT-1", "d05.data2_AGATCGTGTATCGTTG-1", "d05.data2_ACTTTGTTCACTCACC-1", "d05.data2_ACCTACCCATCTCGTC-1", "d05.data2_TGTTACTTCCGCGATG-1", "d05.data2_TCAGTCCGTTCTATCT-1", "d05.data2_CCATAAGAGATTGTGA-1", "d05.data2_TCGCTCAGTCCACTTC-1", "d05.data2_CTTGATTTCGAACGCC-1", "d05.data2_TTGTGGAAGTTTGGCT-1", "d05.data2_CTCAATTCAGGGTTGA-1", "d05.data2_TTTAGTCGTATGAAAC-1", "d05.data2_CCTATCGTCCCGTGAG-1", "d05.data2_GACTATGCAATCAGCT-1", "d05.data2_TAGAGTCTCGCACTCT-1", "d05.data2_ACATGCACATTCGATG-1", "d05.data2_GGAGGTATCTCGCTCA-1", "d05.data2_TCGTGGGCACCTAAAC-1", "d05.data2_CTCAGAAAGGACATCG-1", "d05.data2_CCACAAACATCGATCA-1", "d05.data2_TGCAGGCCAGTTGAAA-1", "d05.data2_GGGACTCCATGTTTGG-1", "d05.data2_GTCATTTCACGAAGAC-1", "d05.data2_TCTTAGTCAAGAGTTA-1", "d05.data2_GGTAGAGCACTGGCGT-1", "d05.data2_AAGCCATCAATTCTTC-1", "d05.data2_ACTTATCCAGCTCATA-1", "d05.data2_CTTAGGAGTTCCGCAG-1", "d05.data2_TCAGCCTAGACGAAGA-1", "d05.data2_GCTTTCGAGTCTTCCC-1", "d05.data2_TCGCTTGGTCGTACAT-1", "d05.data2_ATTTACCTCACCGACG-1", "d05.data2_CTCAACCGTATCAGGG-1", "d05.data2_GGCAGTCGTTACGTAC-1", "d05.data2_CATTGCCTCCTCTCTT-1", "d05.data2_TAGCACATCACCGCTT-1", "d05.data2_CGTGCTTGTATGTGTC-1", "d05.data2_CTCCTCCTCTGAATCG-1", "d05.data2_CATTCTACACATGAAA-1", "d05.data2_CCACGTTGTGGGACAT-1", "d05.data2_TCATGCCAGCCGGATA-1", "d05.data2_GATTTCTAGCGGGTAT-1", "d05.data2_GCAACATAGCAACCAG-1", "d05.data2_CGAAGGATCACCTGGG-1", "d05.data2_TTTCCTCTCATCGACA-1", "d05.data2_TTACGTTAGTAAACGT-1", "d05.data2_CTTCGGTTCCGTTGGG-1", "d05.data2_AGCGCTGCAAGTCCCG-1", "d05.data2_TATTGGGAGATGTAGT-1", "d05.data2_TCGCTTGTCAACGTGT-1", "d05.data2_TGGATCAAGGGCTTCC-1", "d05.data2_TCATTTGAGTAAGAGG-1", "d05.data2_AGCCAGCCACTGTTCC-1", "d05.data2_GTAAGTCTCTCATGGA-1", "d05.data2_TTGTTGTCACTGTCCT-1", "d05.data2_AACCACAGTCAGGTGA-1", "d05.data2_TACACCCAGTGCTCAT-1", "d05.data2_AAACGCTCAAATGAAC-1", "d05.data2_ACTGTCCTCCGTATAG-1", "d05.data2_GTAACACCATTCCTAT-1", "d05.data2_CATCCCACAAACACGG-1", "d05.data2_TCCTTTCTCTTGGTCC-1", "d05.data2_CTGCATCGTTCCTAGA-1", "d05.data2_CAGCACGGTACTAGCT-1", "d05.data2_CAGAGCCAGTTCCATG-1", "d05.data2_TTGGTTTGTCCCGCAA-1", "d05.data2_CAGTTAGCAGTTCACA-1", "d05.data2_CCGCAAGAGGATACGC-1", "d05.data2_GATTGGTTCGACCACG-1", "d05.data2_GAAACCTCATAGAATG-1", "d05.data2_GCACGTGTCTCGCTTG-1", "d05.data2_CTCAAGAAGCACGGAT-1", "d05.data2_GCCAGTGGTCTTACAG-1", "d05.data2_ATCTTCATCAACGCTA-1", "d05.data2_AGAGAGCAGGTTGCCC-1", "d05.data2_ATGACCATCCATAGAC-1", "d05.data2_CTAACTTAGTACAACA-1", "d05.data2_CATGCAAAGGATTACA-1", "d05.data2_CACCAAACACGAGGAT-1", "d05.data2_GTGAGCCTCCTATTGT-1", "d05.data2_ACCAACAGTGAAGCTG-1", "d05.data2_AGGTCTAAGGTTGGTG-1", "d05.data2_ATCCTATGTGTCATGT-1", "d05.data2_CAATGACTCTGAGTCA-1", "d05.data2_TCGGATATCGCAATTG-1", "d05.data2_GAAGGACGTGTTATCG-1", "d05.data2_TCAGTCCCACGCAGTC-1", "d05.data2_TTCTCTCCAGGGTCTC-1", "d05.data2_CAACAGTCATGGATCT-1", "d05.data2_TTGCCTGAGGGAGATA-1", "d05.data2_AGCTACAAGAATCGCG-1", "d05.data2_CCTAACCCATCGGTTA-1", "d05.data2_GCTGGGTGTTCCGCGA-1", "d05.data2_CATGCGGAGCTGAAAT-1", "d05.data2_AACAAGAGTATTGGCT-1", "d05.data2_AAGGAATGTCAATCTG-1", "d05.data2_CTTGAGAAGTAACAGT-1", "d05.data2_ATAGACCTCATTTCGT-1", "d05.data2_ACGGTTATCTTGGATG-1", "d05.data2_CATACCCCATGAGAAT-1", "d05.data2_CATGGATGTATGAGAT-1", "d05.data2_ATACTTCGTTAAGGAT-1", "d05.data2_GTCACGGGTGCCTTCT-1", "d05.data2_TGAACGTTCTTAGGAC-1", "d05.data2_ATTTACCAGTCATGCT-1", "d05.data2_GAATCACCATACAGGG-1", "d05.data2_GAGTCTAAGCTGTACT-1", "d05.data2_TCCTCGATCTATGTGG-1", "d05.data2_CTTCCTTTCATTGCTT-1", "d05.data2_CATCCCATCTTGAGCA-1", "d05.data2_TGCGATACACAATTCG-1", "d05.data2_AAGACAACACCTGAAT-1", "d05.data2_TGGTACATCGACACTA-1", "d05.data2_GGGTGTCTCCGAGTGC-1", "d05.data2_GTAGAAAGTCCGTACG-1", "d05.data2_GGCACGTTCCGACAGC-1", "d05.data2_GGATCTACATGAGTAA-1", "d05.data2_AGAGAATTCTAACGCA-1", "d05.data2_TCATTGTTCTTAGCAG-1", "d05.data2_GGCTTGGTCAGTAGGG-1", "d05.data2_ATGATCGGTGAGTTTC-1", "d05.data2_GTCCCATTCGTTCAGA-1", "d05.data2_AAGGAATGTGATACTC-1", "d05.data2_CTACTATTCACGATAC-1", "d05.data2_TGAATGCGTTTCCCAC-1", "d05.data2_TTCGGTCTCAGCTAGT-1", "d05.data2_TGCTTCGCATTACTCT-1", "d05.data2_ATCTTCAAGATGGTAT-1", "d05.data2_AAACCCAAGGTGGCTA-1", "d05.data2_TGCGATATCATAGGCT-1", "d05.data2_ACTATCTTCTCCCAAC-1", "d05.data2_AAGTACCAGGTTACCT-1", "d05.data2_AGGACTTGTACCTAGT-1", "d05.data2_GTTACGAGTATCCTCC-1", "d05.data2_GATAGCTCAGTCAGTT-1", "d05.data2_GTAGCTAGTGGACCAA-1", "d05.data2_ATGTCTTCAGCATACT-1", "d05.data2_TCATTACTCATATGGC-1", "d05.data2_GGGCCATGTGAGACCA-1", "d05.data2_ACAAGCTGTACTCCGG-1", "d05.data2_AGAAATGAGTATAGAC-1", "d05.data2_CACATGAAGTTATGGA-1", "d05.data2_TCATTACAGGTTAGTA-1", "d05.data2_AGGGTTTAGGCCTTCG-1", "d05.data2_GCCAGGTGTAACGCGA-1", "d05.data2_TAATTCCTCTACAGGT-1", "d05.data2_TCCATGCAGCTAATGA-1", "d05.data2_CTGCCATCAGCTTCGG-1", "d05.data2_GCGGAAAGTGTTAAAG-1", "d05.data2_TCGTAGAAGTGGTTGG-1", "d05.data2_GTAATGCCAGGTTTAC-1", "d05.data2_GGAACCCTCCCTAGGG-1", "d05.data2_TGGAACTGTCTGTGGC-1", "d05.data2_TAGGTTGGTGCTGTCG-1", "d05.data2_TGTTACTCACAAATAG-1", "d05.data2_CCTAACCCAGTTAGGG-1", "d05.data2_ATGAGGGCATGGTACT-1", "d05.data2_GACCAATTCGCTACAA-1", "d05.data2_ATTGGGTGTGCCCAGT-1", "d05.data2_GTTCATTAGGTCACCC-1", "d05.data2_GGGAGATTCCGCAAAT-1", "d05.data2_TCACAAGCACGCTGAC-1", "d05.data2_CATCCGTAGTGAGGTC-1", "d05.data2_CATCGGGTCTAAGCGT-1", "d05.data2_GCTGCAGAGTGTTGTC-1", "d05.data2_AGCCAGCCATGGGATG-1", "d05.data2_GAGAAATGTTAGGGAC-1", "d05.data2_TCATGTTTCGGTCGGT-1", "d05.data2_TTGCATTGTGGTACAG-1", "d05.data2_TGGGATTCATGGGCAA-1", "d05.data2_GTGCTTCCACCTCTAC-1", "d05.data2_GGGCTCAAGATGCCGA-1", "d05.data2_TGTCCACTCTAATTCC-1", "d05.data2_TTTATGCCAAGGTTGG-1", "d05.data2_TCATTTGCACATCATG-1", "d05.data2_GTGCACGTCGAGCTGC-1", "d05.data2_TGAGGTTCAGACGATG-1", "d05.data2_ACCCAAAAGACCGTTT-1", "d05.data2_TTATTGCTCTAGCATG-1", "d05.data2_AAGACAAGTTGGACCC-1", "d05.data2_TCATTTGCACGTGAGA-1", "d05.data2_CTCTCGACAAAGCACG-1", "d05.data2_ACACGCGGTGCGTGCT-1", "d05.data2_GCTGAATGTCGGCCTA-1", "d05.data2_ACAACCATCTGACCCT-1", "d05.data2_CCAATTTAGGCTTAAA-1", "d05.data2_GAACACTCAACCAACT-1", "d05.data2_TCTATACAGTTGGGAC-1", "d05.data2_GAGGCCTCACTGTGAT-1", "d05.data2_GCACATAGTACATACC-1", "d05.data2_ACTGTGACAACAGAGC-1", "d05.data2_GGTGAAGGTTGACTAC-1", "d05.data2_CTGCTCAGTGTATTGC-1", "d05.data2_AGGACGAGTACGATCT-1", "d05.data2_CCAATGACATGATCTG-1", "d05.data2_CAGCCAGGTCGCAGTC-1", "d05.data2_AACTTCTTCCCTATTA-1", "d05.data2_AGGTTGTCACTTGTCC-1", "d05.data2_CAGTTCCCAAATGCTC-1", "d05.data2_ATGGATCGTACCTAGT-1", "d05.data2_TGTCCTGGTGCAACGA-1", "d05.data2_CCAATGAGTGCATTAC-1", "d05.data2_GAATCACTCACCATGA-1", "d05.data2_AAGACTCAGAGAGCAA-1", "d05.data2_AGGTCTACAACGCATT-1", "d05.data2_GTCATGACAAGCAGGT-1", "d05.data2_AGTTCGACAGGACTAG-1", "d05.data2_GTTTACTGTATACAGA-1", "d05.data2_CGTAATGAGTTAGAAC-1", "d05.data2_GCTCAAACATAATCCG-1", "d05.data2_ACTGTGAGTATCCTTT-1", "d05.data2_TACCGGGCAGGTCAGA-1", "d05.data2_ATCATTCGTTGGAGAC-1", "d05.data2_AGATCCACATTCTCTA-1", "d05.data2_CTACATTTCGAACACT-1", "d05.data2_AACCTTTCATGTGTCA-1", "d05.data2_AAGTTCGGTCAGACTT-1", "d05.data2_ATCCCTGGTTTAGTCG-1", "d05.data2_TCTACATAGGGAGTTC-1", "d05.data2_TTAGTCTGTACCTAAC-1", "d05.data2_TACGTCCTCAGGTGTT-1", "d05.data2_CGCATAAAGCGTCAGA-1", "d05.data2_ATACCTTAGCAGGTCA-1", "d05.data2_ACTTCCGGTGAGACCA-1", "d05.data2_CAATGACAGAAGCCAC-1", "d05.data2_CATACTTCAATCTAGC-1", "d05.data2_CCCAACTAGGCCCAAA-1", "d05.data2_CCTAACCGTGTTAACC-1", "d05.data2_GCCCAGATCATTGCCC-1", "d05.data2_GCAACCGGTTCCAGGC-1", "d05.data2_TTGAGTGCACTAAACC-1", "d05.data2_AGAGAGCAGTCGCTAT-1", "d05.data2_CTACCTGCACCCTTGT-1", "d05.data2_TAACGACTCGAACCTA-1", "d05.data2_CTATCCGTCACGATCA-1", "d05.data2_ACGTCCTCATGCTGCG-1", "d05.data2_CAGTTCCGTAACCCGC-1", "d05.data2_TGATGGTCATGGATCT-1", "d05.data2_AACAAGAGTCACTAGT-1", "d05.data2_AACAAGAGTAGAGACC-1", "d05.data2_CCTTGTGTCGATGCAT-1", "d05.data2_CAAAGAATCGCTACGG-1", "d05.data2_TTCATGTGTTTAAGGA-1", "d05.data2_TCGCAGGCACTATCGA-1", "d05.data2_ATCCCTGTCTAGATCG-1", "d05.data2_CCTCCTCTCGCTTTAT-1", "d05.data2_AGGAAATAGGAATTAC-1", "d05.data2_AGCTACAGTTGCATAC-1", "d05.data2_ATACTTCCACATCATG-1", "d05.data2_TAATCTCCACTTGAAC-1", "d05.data2_TAATTCCGTTCAATCG-1", "d05.data2_ACCTGAAAGTAGTCTC-1", "d05.data2_TTGACCCCATAGCACT-1", "d05.data2_CCACAAAAGTCGTCTA-1", "d05.data2_AGCCAGCCACCACTGG-1", "d05.data2_TGTGATGGTACTGCGC-1", "d05.data2_CATCGCTGTCCGAAAG-1", "d05.data2_ACCTGTCTCTGTGCTC-1", "d05.data2_CGAGTTAAGCGTCTGC-1", "d05.data2_CAGTTAGTCACCTCGT-1", "d05.data2_CTAGACAAGCGGGTAT-1", "d05.data2_GTCTACCTCTCATTTG-1", "d05.data2_TGAACGTTCATGGAGG-1", "d05.data2_TTTACGTCAGCTCCTT-1", "d05.data2_AACAAAGCAAATACAG-1", "d05.data2_AAGACAAAGCGACAGT-1", "d05.data2_CTTACCGTCCTTCTTC-1", "d05.data2_TCGGGACTCCCTCGTA-1", "d05.data2_CTCAGAAGTCTTCTAT-1", "d05.data2_ATCGGCGCAGGAATCG-1", "d05.data2_TTGACCCGTCTACAGT-1", "d05.data2_ATAGAGACAATGAACA-1", "d05.data2_TCAGCCTAGGGAGATA-1", "d05.data2_AGTCATGAGAGGACTC-1", "d05.data2_TACGCTCAGCGGCTCT-1", "d05.data2_AGGTCATGTTAATCGC-1", "d05.data2_AACAAGACAGCAATTC-1", "d05.data2_CAAGAGGAGAGGATGA-1", "d05.data2_GGAGATGCAAGTGGCA-1", "d05.data2_TCGTCCAGTATGGAAT-1", "d05.data2_GGGACCTGTGTCCACG-1", "d05.data2_TGCTTCGTCATCTATC-1", "d05.data2_CTGCTCATCATACAGC-1", "d05.data2_AGTAACCAGTGGATAT-1", "d05.data2_GAGCCTGTCAAAGGTA-1", "d05.data2_TGAGCGCAGCTTGTTG-1", "d05.data2_GGGAAGTAGGATTCCT-1", "d05.data2_CCACAAACACTGAATC-1", "d05.data2_GATGCTATCGCTCCTA-1", "d05.data2_ACCCTCAAGCCTCAAT-1", "d05.data2_TCGAAGTTCGACGCTG-1", "d05.data2_TTCCGTGCAGAGGAAA-1", "d05.data2_TACCTGCCAGACTCTA-1", "d05.data2_TGTTGAGCAATTAGGA-1", "d05.data2_TGTGCGGCACACTTAG-1", "d05.data2_CTGAGGCGTCGGAAAC-1", "d05.data2_TCCTTCTGTCTACATG-1", "d05.data2_AGCTACATCTCATTTG-1", "d05.data2_CATTCTACACGGGCTT-1", "d05.data2_CTCCTCCCAGTCTGGC-1", "d05.data2_TCATGTTAGCAGATAT-1", "d05.data2_AAAGTCCAGCTATCTG-1", "d05.data2_GTTGTGACACTCCGGA-1", "d05.data2_AGCGTATTCGAATGCT-1", "d05.data2_CAATCGACATCTTCGC-1", "d05.data2_ATCACAGAGGTACCTT-1", "d05.data2_GATAGAACAACTTGCA-1", "d05.data2_GATTCGACAGAGGAAA-1", "d05.data2_TTTCCTCAGTGATAAC-1", "d05.data2_ATCCATTTCTCACCCA-1", "d05.data2_AGTCATGGTTCGAGCC-1", "d05.data2_GCACATAAGCGACTAG-1", "d05.data2_TCTTTGAGTCGGAACA-1", "d05.data2_TGCATGAAGCATAGGC-1", "d05.data2_AGCCACGCATCATCCC-1", "d05.data2_CCACGTTTCTCCTGAC-1", "d05.data2_TTCTTGAAGCTGCCAC-1", "d05.data2_CTCCACAGTCTTTATC-1", "d05.data2_GTAGATCCATGTAACC-1", "d05.data2_AATTTCCTCCTACAAG-1", "d05.data2_GGGAGTACAAACTGCT-1", "d05.data2_GCAGCCATCGATCCAA-1", "d05.data2_GGGTTTATCTACACTT-1", "d05.data2_GCCCGAACATCCTTCG-1", "d05.data2_TGACTCCTCGATACAC-1", "d05.data2_CACATGACACCCTGTT-1", "d05.data2_GGTTAACTCATTTACC-1", "d05.data2_ACTATGGCATGTAACC-1", "d05.data2_CGCAGGTTCGGAGATG-1", "d05.data2_AGCTCAATCCTGGGAC-1", "d05.data2_GGGATCCAGAGTCGAC-1", "d05.data2_TCCGTGTCATACATCG-1", "d05.data2_TACCCGTTCCAGTGTA-1", "d05.data2_CGCCAGAAGCTCACTA-1", "d05.data2_CATTTCATCGAGAAAT-1", "d05.data2_AATAGAGGTGTTGACT-1", "d05.data2_AAAGGTACAAAGAACT-1", "d05.data2_ATCTTCAGTATTTCTC-1", "d05.data2_TTGAGTGCAGCGCTTG-1", "d05.data2_GACGTTAGTTAGAAAC-1", "d05.data2_TGGGCTGGTAGCTGTT-1", "d05.data2_TGAGACTGTAGTAAGT-1", "d05.data2_TCATGTTAGGACAACC-1", "d05.data2_CTAAGTGGTATTGAGA-1", "d05.data2_GCACTAATCCAGTGCG-1", "d05.data2_AGTTCCCCAAGTATCC-1", "d05.data2_AGGCATTTCCCAACTC-1", "d05.data2_AAGCGTTTCATGACAC-1", "d05.data2_TCCAGAAGTCTGATAC-1", "d05.data2_CTGTATTTCATCGTAG-1", "d05.data2_CTGGCAGTCCACAGCG-1", "d05.data2_ATGGATCGTAGCTCGC-1", "d05.data2_TGAGCGCGTATGCTTG-1", "d05.data2_AACCAACCAAGGCTTT-1", "d05.data2_GTTCTATTCGACGATT-1", "d05.data2_CTAACCCGTGTGCCTG-1", "d05.data2_ACTCCCATCACCTGGG-1", "d05.data2_CCACGAGTCCTCGATC-1", "d05.data2_ATTTACCGTCACTACA-1", "d05.data2_AATGCCACAAGCAATA-1", "d05.data2_ATGCATGTCATGGAGG-1", "d05.data2_TTCTAACCAAGACGAC-1", "d05.data2_TCATCATGTTTACCTT-1", "d05.data2_AGTTCGATCTAGCAAC-1", "d05.data2_CGCATGGTCCTTATCA-1", "d05.data2_CTATAGGGTGTCCCTT-1", "d05.data2_ACTTCCGGTCAAAGAT-1", "d05.data2_CTATAGGTCTCTGACC-1", "d05.data2_CCACTTGCACTTTAGG-1", "d05.data2_GGGAGTAGTTATGTGC-1", "d05.data2_TCATACTCATTGACCA-1", "d05.data2_GATGATCGTAGCGAGT-1", "d05.data2_ATCCTATCAAATCGTC-1", "d05.data2_TTTCATGCACCTGAAT-1", "d05.data2_TGAGGGATCCATCTGC-1", "d05.data2_TATGTTCTCGGTGTAT-1", "d05.data2_GCCATGGTCTACACAG-1", "d05.data2_AAGATAGGTGCTTCAA-1", "d05.data2_GTCAGCGTCTACACAG-1", "d05.data2_CCTTCAGGTCCCAAAT-1", "d05.data2_TCTCAGCAGTCAGCGA-1", "d05.data2_GAATCGTCACACCGCA-1", "d05.data2_TCCACCAAGACGACGT-1", "d05.data2_TGACGCGAGCCGGAAT-1", "d05.data2_GATCCCTCAGCATGCC-1", "d05.data2_TACCTGCAGACGGTCA-1", "d05.data2_GCAGCTGCATGTGACT-1", "d05.data2_GCAACATAGCTGAGCA-1", "d05.data2_CATGCAAAGGGCAACT-1", "d05.data2_TTCAATCGTAGCTTTG-1", "d05.data2_GCTTGGGAGTATGGCG-1", "d05.data2_GTCAAGTAGGCTTCCG-1", "d05.data2_TACGGTAGTTCAGCGC-1", "d05.data2_TCGCAGGCACAGCGCT-1", "d05.data2_GTTGTGAGTCTCTCCA-1", "d05.data2_ACCATTTAGCTGGAGT-1", "d05.data2_GTGAGTTTCAACCTTT-1", "d05.data2_CGAGTTAAGCCAGAGT-1", "d05.data2_AACAACCAGTAGACAT-1", "d05.data2_GTGAGGATCTCTTAAC-1", "d05.data2_GGTGATTTCGACCACG-1", "d05.data2_AAGATAGTCTTCTGTA-1", "d05.data2_AGCGATTGTACGCTTA-1", "d05.data2_GCCGATGCATATACCG-1", "d05.data2_CCGAACGGTCAAACGG-1", "d05.data2_TGCGGGTGTTCGGCCA-1", "d05.data2_CTAACCCAGACATGCG-1", "d05.data2_GAGACTTTCCGGACGT-1", "d05.data2_AGGGTTTAGCGTTAGG-1", "d05.data2_TCGACGGAGTCTCTGA-1", "d05.data2_ATCCCTGCAACAAAGT-1", "d05.data2_CTACCTGCAGTTGTTG-1", "d05.data2_CGGAATTGTGTCGATT-1", "d05.data2_GCAGGCTCAATGTGGG-1", "d05.data2_GCATCTCTCTCTGGTC-1", "d05.data2_TCGTGGGGTTTGTTGG-1", "d05.data2_CCACAAATCCTCTAGC-1", "d05.data2_TTCTGTAGTTCCCAAA-1", "d05.data2_AGGGTCCGTCGTATTG-1", "d05.data2_GCCATTCCATAACGGG-1", "d05.data2_CTACATTGTCAGTTTG-1", "d05.data2_GGTAATCTCTAGCATG-1", "d05.data2_CGCATAATCATACAGC-1", "d05.data2_CTCCTCCTCGCATAGT-1", "d05.data2_AAGACAAGTCGACGCT-1", "d05.data2_TCCATGCCAGGAACCA-1", "d05.data2_TGATGGTTCACCGACG-1", "d05.data2_GGTGTCGTCCTCACTG-1", "d05.data2_TCTATACAGCATGATA-1", "d05.data2_CTATCTAAGGTTGCCC-1", "d05.data2_TTGGATGCAGTTGCGC-1", "d05.data2_GTAGTACAGGGCTAAC-1", "d05.data2_GAACTGTAGCTAGAGC-1", "d05.data2_GCCAGGTTCGCATGAT-1", "d05.data2_TTTCACAGTCACAATC-1", "d05.data2_TCTGGCTAGTTGGAAT-1", "d05.data2_AACCTGAGTAACATAG-1", "d05.data2_CAAGCTAAGGAAGTAG-1", "d05.data2_GGTTAACGTGTGAGCA-1", "d05.data2_TTCCTAATCTTCACAT-1", "d05.data2_TGCGATACACACCTAA-1", "d05.data2_TTCTTCCTCCTCACCA-1", "d05.data2_CATGCAACATCAACCA-1", "d05.data2_ATGCATGCACTGTTCC-1", "d05.data2_CTACTATTCGAACCAT-1", "d05.data2_TTCTAGTCACACACGC-1", "d05.data2_TAATTCCCAGAGGTTG-1", "d05.data2_ACTTATCTCGGTCGAC-1", "d05.data2_AAAGAACCACCTAAAC-1", "d05.data2_TACGGTATCAATGTCG-1", "d05.data2_GAATCACCAAGGCTTT-1", "d05.data2_TACCTGCCAGTATTCG-1", "d05.data2_TACTGCCTCACGGGCT-1", "d05.data2_TCCAGAACACCCTTGT-1", "d05.data2_TCATTTGTCGTTAGAC-1", "d05.data2_CCGTAGGGTCTTGAAC-1", "d05.data2_AGTAACCTCAGGAAAT-1", "d05.data2_TTGATGGTCGAACGCC-1", "d05.data2_TCGCTCATCCTCGATC-1", "d05.data2_GGTGGCTAGTAACGAT-1", "d05.data2_GACCCTTAGTCTCCTC-1", "d05.data2_CAACAACCAATGTTGC-1", "d05.data2_CTGCCATCAGCTTTCC-1", "d05.data2_GATGGAGTCCTTGACC-1", "d05.data2_ATCACAGGTAAGCAAT-1", "d05.data2_ACCAACATCGTGCGAC-1", "d05.data2_CAATCGATCAAAGGTA-1", "d05.data2_TTAATCCAGACCAACG-1", "d05.data2_TGAGGGACAGTTAGGG-1", "d05.data2_GAGGGATTCGTAGCCG-1", "d05.data2_GTAAGTCAGACTCTTG-1", "d05.data2_ATGGTTGTCGAGTCTA-1", "d05.data2_GTGACGCCACGGCCAT-1", "d05.data2_TTATTGCGTTAAGACA-1", "d05.data2_GAACTGTAGAGCCGAT-1", "d05.data2_GTCTCACAGGTTCCAT-1", "d05.data2_ACTCTCGGTCCATAGT-1", "d05.data2_ATACTTCGTGGTGATG-1", "d05.data2_CGTCAAAGTTCCTAGA-1", "d05.data2_TGGTACATCAAGTGTC-1", "d05.data2_TCGAACATCGCTGCGA-1", "d05.data2_CTGCAGGGTCTCGGGT-1", "d05.data2_CATTGCCAGGGTAATT-1", "d05.data2_TCTAACTAGGTCTACT-1", "d05.data2_ACTGTGAGTAATACCC-1", "d05.data2_CAGAGCCGTTCATCGA-1", "d05.data2_CCAATTTCAGCAGTAG-1", "d05.data2_TTCTGTATCCGGTAAT-1", "d05.data2_ACACAGTTCGCTACGG-1", "d05.data2_GGGACAAAGAAGCGCT-1", "d05.data2_GACATCATCCACGTCT-1", "d05.data2_CGAGTGCCATGGCTGC-1", "d05.data2_TCTCACGGTCATCCGG-1", "d05.data2_TTATTGCCAGCTTTGA-1", "d05.data2_ACTTATCTCCGTATAG-1", "d05.data2_ATTTCACTCATGAGGG-1", "d05.data2_AGCATCATCCTGCTAC-1", "d05.data2_TGTTCTAGTTATCCAG-1", "d05.data2_ATGCCTCTCTCCACTG-1", "d05.data2_TCTGTCGCAGCGTGAA-1", "d05.data2_GTCAGCGTCCAAGAGG-1", "d05.data2_CGGAACCGTGCTTCAA-1", "d05.data2_AGACTCACACTGAGGA-1", "d05.data2_TATTTCGTCGCATGAT-1", "d05.data2_AAAGGTACACTGTTCC-1", "d05.data2_AGCCAATTCGTCAGAT-1", "d05.data2_TCCCACAAGTTCGGTT-1", "d05.data2_TACACCCCATACTGTG-1", "d05.data2_TGACTCCGTTACAGCT-1", "d05.data2_CATCGTCAGGTTACCT-1", "d05.data2_TATCAGGCAACAAAGT-1", "d05.data2_CCACAAATCTTGTGCC-1", "d05.data2_TCCATCGTCCGCAAAT-1", "d05.data2_TAGTGCAGTCTACGTA-1", "d05.data2_TGATGCAGTATCACCA-1", "d05.data2_AGTGTTGCACTAGAGG-1", "d05.data2_CATCGTCTCCACGGAC-1", "d05.data2_AGAGCCCAGGGTTAGC-1", "d05.data2_TCCTCTTAGACATCCT-1", "d05.data2_TAAGCCAAGTCAGCCC-1", "d05.data2_TATCTTGTCGCTTGCT-1", "d05.data2_CAGCAATTCTAGCAAC-1", "d05.data2_GCTTCACTCGACCTAA-1", "d05.data2_CTAACCCCAAGAAATC-1", "d05.data2_TTCCGTGCAATTGCGT-1", "d05.data2_ATCATTCGTGCCGGTT-1", "d05.data2_GCTCAAACACGATTCA-1", "d05.data2_AGTGTTGCATACGCAT-1", "d05.data2_CTCAGAATCTACCCAC-1", "d05.data2_TAACTTCGTCATGGCC-1", "d05.data2_AGCTCAAAGTCTGGTT-1", "d05.data2_TAGAGTCTCCGGGACT-1", "d05.data2_TCGCTTGCACCCTCTA-1", "d05.data2_GGCACGTAGCTGGTGA-1", "d05.data2_TCTAACTGTTTACCAG-1", "d05.data2_ATGAGGGCAATCGCAT-1", "d05.data2_TGAGGAGCAGCTGCCA-1", "d05.data2_AACAGGGTCGCCGATG-1", "d05.data2_GTTACAGGTTAGTTCG-1", "d05.data2_CGCCATTGTCATGCAT-1", "d05.data2_CGGGCATCACAGCCTG-1", "d05.data2_AACTTCTTCAGCTTGA-1", "d05.data2_CATCCACTCCGCAAAT-1", "d05.data2_AGGGCTCTCTTGAGCA-1", "d05.data2_AACACACGTGTTCCTC-1", "d05.data2_CGTGCTTAGCGTGTTT-1", "d05.data2_CTTTCGGAGAATCGTA-1", "d05.data2_AATCGACTCAGACCGC-1", "d05.data2_CACGTGGGTTGCATTG-1", "d05.data2_CGTCAAAGTACGGATG-1", "d05.data2_ATCGATGCAACACACT-1", "d05.data2_GAGTTGTTCCACCTGT-1", "d05.data2_CATACAGCACTCGATA-1", "d05.data2_ACTTTCAAGGTGCAGT-1", "d05.data2_ATTCTTGTCAAGCCCG-1", "d05.data2_ACCTACCGTGTTCAGT-1", "d05.data2_AACCATGAGTTCCGTA-1", "d05.data2_ACCTGAAAGGTCTACT-1", "d05.data2_GTAACCAGTCCTATAG-1", "d05.data2_AGCGTATTCAGCTTCC-1", "d05.data2_TAAGCACCAGAACTCT-1", "d05.data2_ACGTCCTAGCACCGTC-1", "d05.data2_AAAGGGCAGTGCAAAT-1", "d05.data2_GCTCAAACAGACCAAG-1", "d05.data2_ACACGCGGTGATAGTA-1", "d05.data2_GACTTCCCAACCGTAT-1", "d05.data2_ACAGCCGGTCTCCTGT-1", "d05.data2_CAGCAGCAGCTGGCCT-1", "d05.data2_TCGAACACACCTGCTT-1", "d05.data2_GCTACAAGTAGCGTAG-1", "d05.data2_CTCACTGTCCGGTAGC-1", "d05.data2_ATCTTCATCCATGAGT-1", "d05.data2_CTATCTACACATGTTG-1", "d05.data2_CCTCAACGTGGCTTGC-1", "d05.data2_GAGTTTGAGTCCTGTA-1", "d05.data2_AGGCTGCCATGTAACC-1", "d05.data2_GTAGAAATCCGCGATG-1", "d05.data2_TCCCACAAGCACGTCC-1", "d05.data2_ACCCAAACAATGTCAC-1", "d05.data2_GATCATGCAGGAATAT-1", "d05.data2_AAGACAAAGGTTCATC-1", "d05.data2_GCCAACGTCTGAACGT-1", "d05.data2_GACCAATTCCTCATAT-1", "d05.data2_CCACACTTCCAGCACG-1", "d05.data2_TACAACGCACACCGAC-1", "d05.data2_ACCAAACGTTACTCAG-1", "d05.data2_ATAGGCTGTACAATAG-1", "d05.data2_CACTGAACAACTGAAA-1", "d05.data2_GGAGGTACACCTGAAT-1", "d05.data2_CGGGTCATCGAGCACC-1", "d05.data2_GACCTTCTCCAATCTT-1", "d05.data2_ATGGTTGGTACGAAAT-1", "d05.data2_TAGACTGGTATCATGC-1", "d1.data2_AGACACTCAAGAGAGA-1", "d1.data2_CACTAAGAGTAAGCAT-1", "d1.data2_TCGTGCTAGTACGAGC-1", "d1.data2_CGATGGCAGCTGCGAA-1", "d1.data2_TCTCTGGAGTTGTAGA-1", "d1.data2_TGTAACGAGCTTCGTA-1", "d1.data2_TCGTGCTAGAACAGGA-1", "d1.data2_TGAGCATTCGAGCCAC-1", "d1.data2_GTAGAAAGTTGGGTTT-1", "d1.data2_GTAGAAAAGCCTGACC-1", "d1.data2_TTCTGTACATGTAACC-1", "d1.data2_CTCAAGACATTGAAGA-1", "d1.data2_AGGAGGTGTATCGTGT-1", "d1.data2_CTTCCGAGTTGTGCAT-1", "d1.data2_TGCTCGTGTACTAACC-1", "d1.data2_GCTGCAGAGGTCGCCT-1", "d1.data2_GCCTGTTGTTGGTGTT-1", "d1.data2_TCCTGCACAGAAATCA-1", "d1.data2_GCATCGGAGCTGCGAA-1", "d1.data2_CTGAATGCAAGAGTGC-1", "d1.data2_GTGGGAATCCTGATAG-1", "d1.data2_GCTTCACAGGTAAACT-1", "d1.data2_AAGGAATTCTAGAACC-1", "d1.data2_ACATCGAAGTTTGTCG-1", "d1.data2_GACAGCCAGGCATCGA-1", "d1.data2_TAACGACCAGGTAGTG-1", "d1.data2_TTTATGCCACAACATC-1", "d1.data2_CGTGCTTCATAGATGA-1", "d1.data2_CAGTTAGGTGCATTAC-1", "d1.data2_TCCATGCCATTGGCAT-1", "d1.data2_TTCCACGAGCACTCGC-1", "d1.data2_ACAAAGATCCTCAGGG-1", "d1.data2_TAGGAGGCAATAACCC-1", "d1.data2_GATAGAACATTCGGGC-1", "d1.data2_ATCCCTGAGGTCCCTG-1", "d1.data2_GGTAACTGTCTGTGTA-1", "d1.data2_TCGGGTGGTGTGCCTG-1", "d1.data2_TTCTTCCAGGAGTATT-1", "d1.data2_GTATTGGAGTGCGACA-1", "d1.data2_AGGGTGAGTGATACAA-1", "d1.data2_CTCCATGCATCTGGGC-1", "d1.data2_TCCGAAAGTGCGGTAA-1", "d1.data2_AAAGTGAGTGTGTACT-1", "d1.data2_CTCAATTAGTCAGGGT-1", "d1.data2_TCGAAGTGTGGGATTG-1", "d1.data2_GAGGCAATCAAATGAG-1", "d1.data2_AACGAAAGTTTGGAGG-1", "d1.data2_CAAAGAATCGTAATGC-1", "d1.data2_CCTGTTGCACAGCCTG-1", "d1.data2_AGGCTGCCATGGCTAT-1", "d1.data2_GTAGAGGGTCTTTCTA-1", "d1.data2_CCCGGAAGTACCACGC-1", "d1.data2_AAGAACAGTATAGGAT-1", "d1.data2_TGCATCCGTCTGCGCA-1", "d1.data2_TGGAGGAAGTAACGAT-1", "d1.data2_GACGTTAAGTTGGGAC-1", "d1.data2_CTGTGGGTCTACCACC-1", "d1.data2_TTCAATCGTGAATAAC-1", "d1.data2_TCGCAGGAGATAGCTA-1", "d1.data2_TGACCCTCACACTGGC-1", "d1.data2_GTTGCTCCAAATACAG-1", "d1.data2_ACTTTCAAGCTGAAAT-1", "d1.data2_ACATTTCGTGGCTGAA-1", "d1.data2_CAACGATGTAGGTACG-1", "d1.data2_CCTCAGTGTGTTCCAA-1", "d1.data2_TCGATTTTCAACGCTA-1", "d1.data2_GTGTAACCACAGTATC-1", "d1.data2_GTAGCTAGTAGCCAGA-1", "d1.data2_AGGGTGAAGGCTAGCA-1", "d1.data2_AGAGCCCAGGAAGTCC-1", "d1.data2_CAATCGAAGTACCGGA-1", "d1.data2_ACGATGTCAGCCATTA-1", "d1.data2_TATGTTCTCTGGTGGC-1", "d1.data2_AGTAACCGTCGGCACT-1", "d1.data2_AGGAATAAGTCTCGTA-1", "d1.data2_TGGTGATGTGTGCTTA-1", "d1.data2_GAAGCGAGTATGAGAT-1", "d1.data2_CGAGGCTTCAAACGTC-1", "d1.data2_AAAGGGCGTGAGTCAG-1", "d1.data2_TGTTACTCATTGCCGG-1", "d1.data2_AGGTAGGGTAGCTGCC-1", "d1.data2_AGTGCCGGTTCGATTG-1", "d1.data2_GGGTGAATCACTTCTA-1", "d1.data2_CGCATGGAGTCAACAA-1", "d1.data2_AGTTCGACAGAAGCTG-1", "d1.data2_AAGACTCCACGACGCT-1", "d1.data2_GAATCACTCCAAGAGG-1", "d1.data2_AGGGTGAGTCTTCGAA-1", "d1.data2_TCTGTCGAGTCATGGG-1", "d1.data2_CGAGGAAGTCACCGAC-1", "d1.data2_TGAGGAGGTCACCACG-1", "d1.data2_CCTCAACCAATAGGAT-1", "d1.data2_CCCAACTGTATCGTTG-1", "d1.data2_GGAACCCGTGTTGATC-1", "d1.data2_ACTGTGAGTGAGATAT-1", "d1.data2_AGTAACCAGACGACTG-1", "d1.data2_TACCTCGTCTTGCAGA-1", "d1.data2_TCCATCGGTCTTGAAC-1", "d1.data2_GGTAGAGGTAGAGTTA-1", "d1.data2_CTGATCCTCTGGGATT-1", "d1.data2_CACAGGCGTCTGTTAG-1", "d1.data2_CCGCAAGAGCTTTCTT-1", "d1.data2_GTATTGGGTCCACTCT-1", "d1.data2_CGTCAAAAGAGCAGTC-1", "d1.data2_GTGCACGAGGTTTACC-1", "d1.data2_GGTGAAGCACGCGGTT-1", "d1.data2_CTTGAGATCCTCAGGG-1", "d1.data2_CTGTGAACAAGTTCCA-1", "d1.data2_AAACCCACAAACTGCT-1", "d1.data2_TCGTGCTAGCTCCGAC-1", "d1.data2_TCATTACTCGGACCAC-1", "d1.data2_CATGCCTAGACTACCT-1", "d1.data2_CTGCTCATCGGTGCAC-1", "d1.data2_TGGAGGAAGATGACCG-1", "d1.data2_GCGTGCAAGCGATTCT-1", "d1.data2_CCATAAGCAAGTTGGG-1", "d1.data2_AGTCTCCAGAATAGTC-1", "d1.data2_AATGGAAGTACAGAAT-1", "d1.data2_ATACCGAGTGAGTAGC-1", "d1.data2_GCGATCGGTGCCCACA-1", "d1.data2_AGTTCGAGTAGTGATA-1", "d1.data2_CGAATTGAGCCTCTGG-1", "d1.data2_GCTGAATAGGAGATAG-1", "d1.data2_AAGGTAACAATCTCTT-1", "d1.data2_ATTTCTGCAGTCAGCC-1", "d1.data2_TGCTGAACACTTTAGG-1", "d1.data2_TCGTCCAAGGTGCCAA-1", "d1.data2_GAAATGATCTAACACG-1", "d1.data2_CCCAACTAGAGTGACC-1", "d1.data2_TTACGTTTCGACACCG-1", "d1.data2_TTGGGCGAGTGAGTGC-1", "d1.data2_TCATATCTCCCAAGTA-1", "d1.data2_AGTGATCAGCTCCCTT-1", "d1.data2_GTTCATTAGGCGAAGG-1", "d1.data2_TCTCCGAGTTCTAAGC-1", "d1.data2_GAATAGACATTCTCCG-1", "d1.data2_AGAGCAGCAATAACGA-1", "d1.data2_ACATGCACACATATCG-1", "d1.data2_CGAGTGCCAACTGCTA-1", "d1.data2_TTTACCAGTTAGGAGC-1", "d1.data2_GAAACCTCACAATGCT-1", "d1.data2_TCTGTCGCACTGCTTC-1", "d1.data2_TAGGTTGGTTCTTAGG-1", "d1.data2_TAACGACAGGAAAGAC-1", "d1.data2_CTTCCGAGTTCCGGTG-1", "d1.data2_CAGATACAGGAAAGTG-1", "d1.data2_CTACTATGTTCAGGTT-1", "d1.data2_GCAGCCAAGAATCGAT-1", "d1.data2_TCATTGTCACTGAGGA-1", "d1.data2_TGTGCGGTCTGAGCAT-1", "d1.data2_TCAGTCCCATGATGCT-1", "d1.data2_GCGGAAAAGTCATGGG-1", "d1.data2_GTGATGTCAGTTAGGG-1", "d1.data2_TTTACTGCAGTTCACA-1", "d1.data2_AGGGTGACACTAGAGG-1", "d1.data2_CAGATCACAGAGAATT-1", "d1.data2_TCGGATAGTGACCGTC-1", "d1.data2_GGGTCTGGTCCGAAAG-1", "d1.data2_CCCTTAGGTTCGCGTG-1", "d1.data2_ACATCGATCACTGGGC-1", "d1.data2_GCCAACGAGCCTATTG-1", "d1.data2_TCACGGGAGTAGTGCG-1", "d1.data2_ATCAGGTAGCCGCTTG-1", "d1.data2_TAAGCGTTCGTAGCTA-1", "d1.data2_TTTACGTTCGGTAACT-1", "d1.data2_TTCTGTAAGTCTTCGA-1", "d1.data2_CATTGTTGTTTCGATG-1", "d1.data2_GATAGAACAATCAGCT-1", "d1.data2_AGACACTAGGAGCTGT-1", "d1.data2_GATGACTTCTAAGGAA-1", "d1.data2_CGATGCGTCACCATGA-1", "d1.data2_TAGGTTGCAACCGGAA-1", "d1.data2_TCGGGACTCGATACGT-1", "d1.data2_TCATTGTAGTATTGCC-1", "d1.data2_CAAGCTATCGAGAAAT-1", "d1.data2_GACGCTGCACACGGTC-1", "d1.data2_TGCGGCAAGAGGTTAT-1", "d1.data2_CTTGAGAGTTGACTGT-1", "d1.data2_CCGATCTTCCGGCAGT-1", "d1.data2_TCGATTTGTACAGCGA-1", "d1.data2_TTTATGCCAGCTCGGT-1", "d1.data2_AATGGAAAGGAAAGGT-1", "d1.data2_TACGTCCAGGTCATAA-1", "d1.data2_TCCGTGTGTCGTCAGC-1", "d1.data2_GCAGCTGCATGTGACT-1", "d1.data2_CAGCAGCTCTGGACCG-1", "d1.data2_TGGATGTGTTGCGGCT-1", "d1.data2_AACGAAATCGTGGACC-1", "d1.data2_AAAGGTAAGGTTAGTA-1", "d1.data2_CTTGAGATCCAGCCTT-1", "d1.data2_GTGGTTATCTGCGGAC-1", "d1.data2_CGTTAGAGTAGCGTAG-1", "d1.data2_CACGGGTTCTCCTGAC-1", "d1.data2_TGTAGACAGGATGTTA-1", "d1.data2_TCTCACGTCTCACTCG-1", "d1.data2_AGAACCTGTGATGAAT-1", "d1.data2_GCATCGGTCCGCGATG-1", "d1.data2_AGACCCGAGAAGGCTC-1", "d1.data2_GAAATGACAGCACAAG-1", "d1.data2_CCAATTTCAGTGGGTA-1", "d1.data2_GTGCAGCAGGTGGTTG-1", "d1.data2_GGTCTGGTCGAGCCAC-1", "d1.data2_TGTCAGACAGGTTCGC-1", "d1.data2_ACAAAGAAGGCTCTAT-1", "d1.data2_AGGCATTCATCAGTCA-1", "d1.data2_GGGAAGTGTCAGACTT-1", "d1.data2_GATGTTGCAATCTCTT-1", "d1.data2_AAGCATCTCAAGCCTA-1", "d1.data2_CGGACACCATGTGCCG-1", "d1.data2_GTTACAGAGTTCGGTT-1", "d1.data2_CAACGGCTCTTGATTC-1", "d1.data2_TGGGATTAGTCATCCA-1", "d1.data2_GTCGTTCGTCACTTAG-1", "d1.data2_CATTGAGGTTATCTGG-1", "d1.data2_AGTGACTCATGGGAAC-1", "d1.data2_ACTTATCTCAAGGACG-1", "d1.data2_AGACAGGAGGCAGGGA-1", "d1.data2_TCATGAGCAATTGCAC-1", "d1.data2_AAGTACCGTTTGCAGT-1", "d1.data2_GGGATCCAGACATCAA-1", "d1.data2_TTTGTTGAGCACTGGA-1", "d1.data2_CTAGACATCGTCGACG-1", "d1.data2_GACGCTGTCCGTACGG-1", "d1.data2_CATACTTCAAGTTCGT-1", "d1.data2_ACCAAACAGTTTCGGT-1", "d1.data2_AGCCAGCCATGACACT-1", "d1.data2_TGAGGAGGTTCGTTCC-1", "d1.data2_TGGAGGAGTCCTGGGT-1", "d1.data2_CAGATTGTCTGTTCAT-1", "d1.data2_CCAAGCGTCATTGTGG-1", "d1.data2_TATTCCATCCCAATAG-1", "d1.data2_TACGGGCAGCGGATCA-1", "d1.data2_TGCCGAGGTGGAACAC-1", "d1.data2_TTGAGTGCACATTACG-1", "d1.data2_ACTACGAAGGATACCG-1", "d1.data2_GTTCATTGTATCGCTA-1", "d1.data2_TTGAGTGCAGACCATT-1", "d1.data2_AGGACTTGTCATACCA-1", "d1.data2_TAAGCGTGTTCACGAT-1", "d1.data2_TACTTGTGTCTACAGT-1", "d1.data2_GGTCACGTCTGTGCAA-1", "d1.data2_GCTCAAATCACCTTGC-1", "d1.data2_TTCTTCCTCGGTCTGG-1", "d1.data2_TCAATCTAGGAAGTCC-1", "d1.data2_CGTGAATGTCCACACG-1", "d1.data2_GAATAGATCCAACACA-1", "d1.data2_TCATCATAGGCATCTT-1", "d1.data2_CGTGCTTCAATGTCAC-1", "d1.data2_GTCTTTACACTTCCTG-1", "d1.data2_AGGTCTATCGAACCTA-1", "d1.data2_GACGTTAGTGGTTTAC-1", "d1.data2_AATCGTGGTTAAGTCC-1", "d1.data2_AGGTGTTGTTTACTTC-1", "d1.data2_ACTGCAACAGCCGTCA-1", "d1.data2_CCTAAGAGTATGGAAT-1", "d1.data2_CGCCATTCAGCGACAA-1", "d1.data2_GAATCGTCATACCAGT-1", "d1.data2_GTGAGGAAGCCACAAG-1", "d1.data2_GGTGGCTCATGGTACT-1", "d1.data2_AGTGTTGCAGCGCGTT-1", "d1.data2_TTTCGATTCATACAGC-1", "d1.data2_GTGTTAGCATTCTTCA-1", "d1.data2_TACAACGAGTAGGTTA-1", "d1.data2_GATTCTTTCGGTGCAC-1", "d1.data2_ATGCGATCAAATGGAT-1", "d1.data2_TATCTTGAGGAACTAT-1", "d1.data2_TCAAGACGTGCATACT-1", "d1.data2_CGTTAGATCGCCTTTG-1", "d1.data2_CCCAACTAGTAAGAGG-1", "d1.data2_CTGCGAGTCATGGGAG-1", "d1.data2_CTTAGGAAGGAGTACC-1", "d1.data2_ATTATCCTCGCAAGAG-1", "d1.data2_GAAATGAAGACCGCCT-1", "d1.data2_CACTTCGAGCGATTCT-1", "d1.data2_CCCATTGAGGCTTAGG-1", "d1.data2_TAACCAGTCCCTTCCC-1", "d1.data2_ATCATTCAGAACGTGC-1", "d1.data2_ACTTCCGCATCCAACA-1", "d1.data2_CTGTATTGTCAAATCC-1", "d1.data2_TCTACATAGATCCCAT-1", "d1.data2_ATTACCTAGATCGACG-1", "d1.data2_CGTCAAAAGTTCATGC-1", "d1.data2_AGGTCATTCGCGGTAC-1", "d1.data2_CCGTGAGGTCGAAGCA-1", "d1.data2_CTCAACCAGCTAGATA-1", "d1.data2_GGAGATGAGTCAGAGC-1", "d1.data2_GCCAGCAGTTACGGAG-1", "d1.data2_TGAATGCCACCTTCGT-1", "d1.data2_CAGCAATAGCAAGCCA-1", "d1.data2_ACCTACCGTACTCGCG-1", "d1.data2_AGGGTTTTCATCGGGC-1", "d1.data2_TTCTCTCGTTAAGGAT-1", "d1.data2_GTATTGGCAATTGTGC-1", "d1.data2_AGAACAATCGACTCCT-1", "d1.data2_AGGAATAGTGTCCATA-1", "d1.data2_TGTTCATTCCTCATAT-1", "d1.data2_TCTTGCGGTCCCGCAA-1", "d1.data2_TTTGACTTCCTGTAGA-1", "d1.data2_GTCATCCGTTTGCCGG-1", "d1.data2_ACTTCGCTCGGTGTTA-1", "d1.data2_TGTAACGTCATGACAC-1", "d1.data2_ATCCGTCCACGTCGTG-1", "d1.data2_CGGGTCAGTCGAGCTC-1", "d1.data2_GCCAGTGAGGACGGAG-1", "d1.data2_GATAGCTAGTCCTACA-1", "d1.data2_AGATAGACACCTTCCA-1", "d1.data2_TGCAGGCCATGTTTGG-1", "d1.data2_AGCATCATCGTCAGAT-1", "d1.data2_GCACTAATCTACGCGG-1", "d1.data2_AACCCAAAGGGCAAGG-1", "d1.data2_AGGGTGAAGTTAACAG-1", "d1.data2_CTCTGGTAGGATTTAG-1", "d1.data2_GTGGAAGCACCGTGAC-1", "d1.data2_GTCACGGAGTCAAGCG-1", "d1.data2_TAAGCGTAGTCATAGA-1", "d1.data2_TAGGGTTAGAGTGGCT-1", "d1.data2_TCCACGTTCAGCCTCT-1", "d1.data2_CTATCTACAGCTAACT-1", "d1.data2_GGTGATTCATGAGAAT-1", "d1.data2_GAGATGGCATGCCATA-1", "d1.data2_TTTCACATCCTCGCAT-1", "d1.data2_CCGATGGTCGGCTTGG-1", "d1.data2_ATTGGGTGTGGTTCTA-1", "d1.data2_TGGGAAGTCTATGTGG-1", "d1.data2_TCAAGCAAGGAGGTTC-1", "d1.data2_TGGAGAGAGATTAGAC-1", "d1.data2_TCATTGTGTCCTACAA-1", "d1.data2_CAACCTCTCTATACGG-1", "d1.data2_CATGCGGCAGCTATTG-1", "d1.data2_AATCACGGTGCGACAA-1", "d1.data2_CCGGTGAAGAATAGTC-1", "d1.data2_GGTGTCGTCGGTTCAA-1", "d1.data2_CACCGTTTCCGCCTAT-1", "d1.data2_CAAAGAAAGACTTCAC-1", "d1.data2_TTTCGATTCGGTAACT-1", "d1.data2_AGATAGAGTGCGAACA-1", "d1.data2_ATGAAAGTCTCCAAGA-1", "d1.data2_GGCTTTCCAGAAGCGT-1", "d1.data2_GAAGGGTAGCGCTGCT-1", "d1.data2_TCCCATGAGACATGCG-1", "d1.data2_CCCTGATAGTTTGAGA-1", "d1.data2_ATCGTAGGTCACCGCA-1", "d1.data2_AGGCTGCCAACGATTC-1", "d1.data2_ATTTCACAGTAAACGT-1", "d1.data2_TCCATCGGTCATCCCT-1", "d1.data2_TCTATCAAGTCATCGT-1", "d1.data2_GCCAGGTAGTCATTGC-1", "d1.data2_GACCCTTTCGCGCCAA-1", "d1.data2_ACCTACCAGGTCACAG-1", "d1.data2_CGAGGCTCAAATTGCC-1", "d1.data2_GTTGAACAGTATGACA-1", "d1.data2_TTCATTGTCGCTGTCT-1", "d1.data2_CTACTATAGTCTGCGC-1", "d1.data2_GTCCCATTCCGACATA-1", "d1.data2_GTTCGCTAGCAAATCA-1", "d1.data2_ACGTACAAGCGGACAT-1", "d1.data2_TAAGCCAAGTGTACAA-1", "d1.data2_TGAGGTTCATCTCGTC-1", "d1.data2_GTGGAGAGTCGGCTAC-1", "d1.data2_GATGAGGCACCGCTAG-1", "d1.data2_TCTATCAGTGTCATGT-1", "d1.data2_TGCGATACAACACGAG-1", "d1.data2_GTTCCGTAGACTTAAG-1", "d1.data2_GCACATAGTCATAACC-1", "d1.data2_GCTACAACACATATGC-1", "d1.data2_TAACGACCATCTTTCA-1", "d1.data2_ACCTGAACATCATCTT-1", "d1.data2_CTACCTGCACGTACAT-1", "d1.data2_ACTCTCGCAGTCTCTC-1", "d1.data2_CGAGAAGAGTAGTCAA-1", "d1.data2_CACATGATCTGTTCAT-1", "d1.data2_AGTGACTCATAGAATG-1", "d1.data2_AATGCCAAGAAGCCAC-1", "d1.data2_AGTACCACACTATCGA-1", "d1.data2_ACTATGGGTTGCCATA-1", "d1.data2_TGTGCGGGTGTTGACT-1", "d1.data2_TGACCCTAGGCAGGGA-1", "d1.data2_ATCGGATAGGTCTGGA-1", "d1.data2_AGTCAACAGATCCCGC-1", "d1.data2_CGCCATTCAGCAGTAG-1", "d1.data2_GATCAGTAGGTTCATC-1", "d1.data2_TTACTGTCAGGCAATG-1", "d1.data2_TCACGCTAGTAGACCG-1", "d1.data2_GAGCTGCGTTGCGTAT-1", "d1.data2_GGGACTCTCGTTTACT-1", "d1.data2_TGTTACTAGCTCTGTA-1", "d1.data2_GTCCACTGTCATCCCT-1", "d1.data2_CTGATCCGTTACCTGA-1", "d1.data2_AGGGTCCTCAGTCAGT-1", "d1.data2_CTCAATTGTGACAACG-1", "d1.data2_GTGGTTAGTCCAAAGG-1", "d1.data2_AGTCTCCGTCTTGCTC-1", "d1.data2_AGTAGTCCACTTGACA-1", "d1.data2_GTCAAACAGTATGAGT-1", "d1.data2_TAGGAGGGTCAACATC-1", "d1.data2_CTGCCATTCGCAATGT-1", "d1.data2_GTTTACTAGTCACTAC-1", "d1.data2_AGGCTGCAGGTGATCG-1", "d1.data2_TATTGCTTCACCTCTG-1", "d1.data2_TGACAGTGTGACACGA-1", "d1.data2_AGGATCTAGCCTTGAT-1", "d1.data2_CATAAGCGTCAGACTT-1", "d1.data2_TGGGATTAGTGCTAGG-1", "d1.data2_CCACACTCAGGACAGT-1", "d1.data2_GTGCTTCTCATCGTAG-1", "d1.data2_CCACTTGGTGTCTCCT-1", "d1.data2_ACTTATCCATACTTTC-1", "d1.data2_TCGACCTTCTCCAATT-1", "d1.data2_GCCCAGAGTAAGCGGT-1", "d1.data2_AATGACCAGGAGAGTA-1", "d1.data2_TGTTACTAGAGCTGAC-1", "d1.data2_ATCAGGTCAACGTATC-1", "d1.data2_CCTCACATCATCGACA-1", "d1.data2_ATCGGCGGTAACGCGA-1", "d1.data2_CACCGTTTCGTTCGCT-1", "d1.data2_TCCACGTTCCTTATAC-1", "d1.data2_TCGGATAGTTGCTTGA-1", "d1.data2_GAGTGAGGTTCCACGG-1", "d1.data2_GGGCCATGTTCCGCAG-1", "d1.data2_ATCAGGTTCCATAAGC-1", "d1.data2_CACGGGTCAGTCTGGC-1", "d1.data2_CAGTTCCAGATCACTC-1", "d1.data2_TGATGGTCAGTAGTGG-1", "d1.data2_CAACGATCACGGTGTC-1", "d1.data2_AGCGTATGTACGAAAT-1", "d1.data2_GACCCAGGTTTCCCAC-1", "d1.data2_CAACGATAGACAGCTG-1", "d1.data2_GTCTGTCAGGCACTAG-1", "d1.data2_GTTGTGATCTAGCCTC-1", "d1.data2_CAATTTCCAGCATCTA-1", "d1.data2_ACCACAAAGACCATTC-1", "d1.data2_CTCGAGGTCCCATTTA-1", "d1.data2_AGTAGTCCACCGGCTA-1", "d1.data2_ACCAAACAGCGTCTGC-1", "d1.data2_TGGGATTCACCCTAGG-1", "d1.data2_AGTCACAAGAGTCGAC-1", "d1.data2_ACCCAAAGTACCTAGT-1", "d1.data2_CATCGTCAGTCGGCCT-1", "d1.data2_GCACATAGTGGCTTGC-1", "d1.data2_AACGGGATCGCCACTT-1", "d1.data2_TGCATGAGTCATTCCC-1", "d1.data2_CATAAGCTCATGCATG-1", "d1.data2_AGGTTGTCAAATACGA-1", "d1.data2_CCTTCAGGTGCCTGAC-1", "d1.data2_TATGTTCCATGGGCAA-1", "d1.data2_CAATACGTCCCGGTAG-1", "d1.data2_GTCTTTAAGCGTGAGT-1", "d1.data2_TGTTGGATCGTGCACG-1", "d1.data2_CTGTACCCACTTCAAG-1", "d1.data2_CTCTCGATCTCCGCAT-1", "d1.data2_AGGATCTGTTACGATC-1", "d1.data2_CTACGGGCAAATCAGA-1", "d1.data2_TCAGCAATCGACACTA-1", "d1.data2_TCAAGACTCTGTAACG-1", "d1.data2_GCCGTGATCGGTCTAA-1", "d1.data2_CTACCTGTCCACGGAC-1", "d1.data2_ATAGACCCAGGACAGT-1", "d1.data2_CAGGGCTGTAAGAACT-1", "d1.data2_CCTCCAAAGCACGTCC-1", "d1.data2_GTCTAGAAGGTTAAAC-1", "d1.data2_ATTCCCGCAATTCTCT-1", "d1.data2_CTCATGCTCGAGCCTG-1", "d1.data2_TCATTCAAGCTCATAC-1", "d1.data2_CATAAGCCAGGAACCA-1", "d1.data2_TGGGCTGTCTAGAACC-1", "d1.data2_AAGTGAATCTCTGAGA-1", "d1.data2_AGCTCAATCGCAGATT-1", "d1.data2_TAGATCGCAATTGCAC-1", "d1.data2_GATGAGGCAGCGTGCT-1", "d1.data2_TCAATCTGTCTTCTAT-1", "d1.data2_TCAGTGACATTCAGCA-1", "d1.data2_TCCGGGATCCATACTT-1", "d1.data2_ACCCAAAGTGATCGTT-1", "d1.data2_CCACGTTTCATGAGAA-1", "d1.data2_ATCCATTTCCCAGGAC-1", "d1.data2_GCGGATCAGGGAGTTC-1", "d1.data2_GTAGGAGTCTCTGCCA-1", "d1.data2_ATATCCTAGCACCAGA-1", "d1.data2_TCTGGCTGTCTACAGT-1", "d1.data2_GTGATGTCAAACTAGA-1", "d1.data2_CATGCAACAACACTAC-1", "d1.data2_CTCAATTCAAGAATAC-1", "d1.data2_AGTACCATCAAGCCCG-1", "d1.data2_GGTGAAGGTCGAAACG-1", "d1.data2_GACAGCCGTTACCTGA-1", "d1.data2_CAGCAGCAGTGTTGAA-1", "d1.data2_TGTTGAGAGCTGACCC-1", "d1.data2_CGGAGAACACTTGAAC-1", "d1.data2_GGGCTACAGTGATTCC-1", "d1.data2_TGCGACGCACTGGCCA-1", "d1.data2_TCAGCCTTCTACTGAG-1", "d1.data2_CATGCCTTCTGTAAGC-1", "d1.data2_CAAGACTCAACGATTC-1", "d1.data2_GGGACAAGTATCTTCT-1", "d1.data2_TCTGGCTGTTCACGAT-1", "d1.data2_CGCATGGCAGCTAACT-1", "d1.data2_CCCTCAAGTGCCTTCT-1", "d1.data2_TTGCTGCCACTCTCGT-1", "d1.data2_ACCCAAACAACCAACT-1", "d1.data2_TACCCACTCACATCAG-1", "d1.data2_CCTGCATAGGCTTAAA-1", "d1.data2_AGTTAGCCATAGGAGC-1", "d1.data2_TGTTCCGAGGCGCTCT-1", "d1.data2_CCTTCAGTCCATATGG-1", "d1.data2_CACTAAGTCGTAGAGG-1", "d1.data2_ATGAGTCAGCGACTTT-1", "d1.data2_CCCTCAATCCAACTAG-1", "d1.data2_GGAGAACAGTAACGTA-1", "d1.data2_ATTCACTTCCTTCTGG-1", "d1.data2_GTACAACTCTCTTCAA-1", "d1.data2_CACTGAAAGTATGTAG-1", "d1.data2_ATCCTATGTGATTCTG-1", "d1.data2_GACTTCCTCGTGAGAG-1", "d1.data2_GCGTGCACACAGTGTT-1", "d1.data2_AGACTCATCTGCCTGT-1", "d1.data2_CATGCGGTCGGTTGTA-1", "d1.data2_CATAAGCAGTTTCGAC-1", "d1.data2_TATCGCCCAATGACCT-1", "d1.data2_CTAGACATCTCCAAGA-1", "d1.data2_GTCCACTTCGGTCGGT-1", "d1.data2_CATCCGTAGGTTAAAC-1", "d1.data2_AATGGCTAGCAAATCA-1", "d1.data2_ACTGTCCAGGTTTACC-1", "d1.data2_ACAAGCTCAAAGGCGT-1", "d1.data2_CATGAGTCAACCTATG-1", "d1.data2_TACCCACTCGTGCGAC-1", "d1.data2_GATCACATCACCGGGT-1", "d1.data2_CACAGGCAGCCAGTAG-1", "d1.data2_CATAAGCTCATCACTT-1", "d1.data2_TCGTAGATCCATTTCA-1", "d1.data2_CCTCCTCCACGAAAGC-1", "d1.data2_CTCCCAAGTAAGTCAA-1", "d1.data2_TCACACCCAGATACCT-1", "d1.data2_CAACAGTAGTGCACTT-1", "d1.data2_GCACGGTTCAGGCGAA-1", "d1.data2_TCTCACGTCCTACAAG-1", "d1.data2_CCTCAACCACTTTATC-1", "d1.data2_CCTGCATGTGCCTTCT-1", "d1.data2_AGCCACGTCCTACAAG-1", "d1.data2_AACCATGGTGGCAACA-1", "d1.data2_ATTCCCGTCCATGCAA-1", "d1.data2_GAACACTCACAACATC-1", "d1.data2_AAGACTCCACGATAGG-1", "d1.data2_TTCGCTGGTTGTTGCA-1", "d1.data2_CCTTCAGGTGCCCTTT-1", "d1.data2_AACTTCTGTACGTGTT-1", "d1.data2_CTTCTAATCTCTTGCG-1", "d1.data2_TCCGGGATCACGATCA-1", "d1.data2_GTAACACAGAGTCGAC-1", "d1.data2_AACCTTTGTCCGCAGT-1", "d1.data2_GTGGTTAAGAATCCCT-1", "d1.data2_GTTACCCCAAACTAAG-1", "d1.data2_TTTCCTCTCTCCCAAC-1", "d1.data2_CCTCACAGTGGCTACC-1", "d15.data_AGACCATGTAAGATAC-1", "d15.data_TCAATTCGTTAAGACA-1", "d15.data_GTGAGGATCGCCTAGG-1", "d15.data_CTCCAACTCATCCTAT-1", "d15.data_TTCACGCGTCCCGGTA-1", "d15.data_TCACACCGTGGCGCTT-1", "d15.data_GGTAGAGTCACCTCGT-1", "d15.data_CGAGTGCGTCCAGCGT-1", "d15.data_CGAAGTTGTTCGGCTG-1", "d15.data_AAGCGAGTCTGCGTCT-1", "d15.data_AATGGCTTCTGACGCG-1", "d15.data_ATCGGCGCAACTGTGT-1", "d15.data_TCGTGCTTCCATGATG-1", "d15.data_CCGTGAGTCGCGTAGC-1", "d15.data_ACACTGATCCTGGCTT-1", "d15.data_TCGTGCTCAACGTTAC-1", "d15.data_TTTGACTCAGTCGGTC-1", "d15.data_TTCATGTAGAGTTGCG-1", "d15.data_ATGGATCAGCTAGAAT-1", "d15.data_AAGTGAAAGTTGTCGT-1", "d15.data_GTGACGCAGAGCATCG-1", "d15.data_TCACGGGGTAGGGAGG-1", "d15.data_TCTAACTTCTCTATGT-1", "d15.data_AGAGCAGGTTCGAAGG-1", "d15.data_GTCAAGTAGATGGTCG-1", "d15.data_TGCTTCGAGGGAGTTC-1", "d15.data_AGCGCTGCAGAGGTTG-1", "d15.data_TCGTGGGCAGTCGCTG-1", "d15.data_AGAGCAGTCGCATAGT-1", "d15.data_AAATGGAAGCGTCAAG-1", "d15.data_TGCTTGCTCTGGGTCG-1", "d15.data_AGAGAATAGCCTCCAG-1", "d15.data_TAGGTACTCAGTGGGA-1", "d15.data_CCGATCTCAGAAGCGT-1", "d15.data_TACTTCAAGAGTCGAC-1", "d15.data_GAGTGAGAGGTAACTA-1", "d15.data_GTAGGAGTCAGTGTTG-1", "d15.data_CTGTCGTGTCGACTTA-1", "d15.data_TCCGTGTGTGGGCTCT-1", "d15.data_TGTGATGTCGTGAGAG-1", "d15.data_TAGGTTGAGATCCCAT-1", "d15.data_TCGACCTCAGGACATG-1", "d15.data_ACTGATGAGGTTGGTG-1", "d15.data_ATTCGTTGTAGACTGG-1", "d15.data_GTCGTTCAGGCCTAGA-1", "d15.data_AGTCACAAGTGTAGAT-1", "d15.data_TATGTTCGTCTCAAGT-1", "d15.data_CCGTAGGAGGCAGTCA-1", "d15.data_TCGGGTGAGTCATCCA-1", "d15.data_TCGTGCTTCCATTTAC-1", "d15.data_CATGCAAGTAGAGCTG-1", "d15.data_GATCATGGTTGAGAGC-1", "d15.data_CCTCTCCTCGGTCGAC-1", "d15.data_ATTATCCAGAGTTGCG-1", "d15.data_TGACGCGTCGTAGTCA-1", "d15.data_CGAAGTTAGAGGTATT-1", "d15.data_AATGACCGTCGCTTGG-1", "d15.data_TCACACCCATGACGGA-1", "d15.data_TCAGCAAGTGAGTAGC-1", "d15.data_GAGCTGCGTCGCGTTG-1", "d15.data_AGAAGCGTCGTTCATT-1", "d15.data_TGGGCTGAGCGTTACT-1", "d15.data_TTTGACTCACATCCCT-1", "d15.data_ACTCTCGGTGAGCTCC-1", "d15.data_TATCTTGGTCCGGTGT-1", "d15.data_TGTGGCGAGTAACAGT-1", "d15.data_GCGATCGTCGCATAGT-1", "d15.data_TGGCGTGGTCGGTACC-1", "d15.data_CTGTGGGTCTCCAAGA-1", "d15.data_GGGTTATCAAGTGGGT-1", "d15.data_CCCTGATTCTAGATCG-1", "d15.data_TACGGGCTCAGGGATG-1", "d15.data_TCAAGCAGTCGGAAAC-1", "d15.data_GGGAGATTCAACCTTT-1", "d15.data_AGTGTTGGTTCTGAGT-1", "d15.data_GAGTCATGTAGCTAAA-1", "d15.data_TTGAGTGGTCCTTAAG-1", "d15.data_GGATCTAGTGAATGTA-1", "d15.data_GACCTTCGTTCCGCAG-1", "d15.data_CGTGAATAGTTGGAAT-1", "d15.data_AGAACAAAGGTAGCAC-1", "d15.data_TATTTCGTCAGCTGAT-1", "d15.data_GATGTTGTCTGGGAGA-1", "d15.data_TCTCAGCAGAAAGCGA-1", "d15.data_ATCCGTCGTTTGATCG-1", "d15.data_GTCAAGTAGGCGAAGG-1", "d15.data_GAAGGGTGTCGTGTTA-1", "d15.data_AGGCTGCGTAGAGCTG-1", "d15.data_AGAGAATGTGATAGAT-1", "d15.data_TGTTCATGTCACGACC-1", "d15.data_GTAACACTCGTGGCGT-1", "d15.data_CTTCCTTAGTCTCCTC-1", "d15.data_TACCGGGAGCACAAAT-1", "d15.data_ATCGTGAAGTCATGGG-1", "d15.data_GTCATGATCCTCACGT-1", "d15.data_TGTTTGTAGACGGAAA-1", "d15.data_CTGGACGAGCTTCATG-1", "d15.data_TCCATGCGTCGAGATG-1", "d15.data_TTCAGGAGTGCACGCT-1", "d15.data_TCAGTGAAGGCAGTCA-1", "d15.data_GTCCTCACACGCCAGT-1", "d15.data_AGACTCAAGTTCATCG-1", "d15.data_GACACGCCACTCTAGA-1", "d15.data_TGGTGATAGTCGTCTA-1", "d15.data_GTAGTACAGTGCACAG-1", "d15.data_ATTGGGTAGGTTAGTA-1", "d15.data_AGCGATTAGTGTTCAC-1", "d15.data_AGCCAGCTCGTGTGGC-1", "d15.data_CGTGTCTGTAGGAAAG-1", "d15.data_GGTGTTAGTGTTAAAG-1", "d15.data_GTGCTTCCAGTCGAGA-1", "d15.data_CAGCCAGAGAGCGACT-1", "d15.data_CCATCACCAAGAGCTG-1", "d15.data_TCCACGTCATGGGAAC-1", "d15.data_TCATCCGAGAGCTGAC-1", "d15.data_GGGCGTTAGTGCAAAT-1", "d15.data_GGCGTCACAGGAACCA-1", "d15.data_ACGATGTAGCACACCC-1", "d15.data_TCGCTTGCAGCAGTGA-1", "d15.data_GACGCTGTCCTAGAGT-1", "d15.data_GACTGATAGTCAGCGA-1", "d15.data_CCATCACCATAGGAGC-1", "d15.data_GTCGTTCCATCATTTC-1", "d15.data_GCTTCACAGACGACGT-1", "d15.data_ATGAGTCAGTCTCTGA-1", "d15.data_CTAAGTGTCAGGAAAT-1", "d15.data_GGAGGTACACCAGTAT-1", "d15.data_GGCTTGGAGGCGTTAG-1", "d15.data_CATTCATCAGCGACCT-1", "d15.data_GCCAGTGTCGTTCGCT-1", "d15.data_TCTTTGAGTACAGGTG-1", "d15.data_GAGGCAAAGCCATTTG-1", "d15.data_CTACTATGTTGCGTAT-1", "d15.data_GTTACCCAGATACATG-1", "d15.data_TTTACTGAGCTTAAGA-1", "d15.data_GTCTCACGTAGGAAAG-1", "d15.data_CCTTCAGCAACGTATC-1", "d15.data_GCGTGCAGTCCTCCTA-1", "d15.data_AACGGGAGTGTATTCG-1", "d15.data_TCGACCTAGACGTCCC-1", "d15.data_GCTGCAGGTTGTCTAG-1", "d15.data_TCGGGCACACAATGTC-1", "d15.data_GATCCCTAGGCAGTCA-1", "d15.data_GTAGAAAAGTTAGTAG-1", "d15.data_AAGCGAGTCGTTCTAT-1", "d15.data_TGGGCGTCATCTTCGC-1", "d15.data_GTTCCGTGTTTATGCG-1", "d15.data_TAGGTTGGTTATGGTC-1", "d15.data_TTAGGCATCGCCTTGT-1", "d15.data_AGACTCAGTGAAAGTT-1", "d15.data_TTGTGGAGTACCAGAG-1", "d15.data_GACATCAAGCGCCGTT-1", "d15.data_GACGTTAGTCTCGGGT-1", "d15.data_GGAGAACAGGTGCCAA-1", "d15.data_ACTTCCGTCGAATCCA-1", "d15.data_TCATACTGTCTTCATT-1", "d15.data_TGTTGGACAGAGAAAG-1", "d15.data_ACGTAACGTATGGTAA-1", "d15.data_GAAGGACCAGCCCAGT-1", "d15.data_CGATCGGCATGACCCG-1", "d15.data_CCGTAGGAGGAACGAA-1", "d15.data_GATCACACAAGCAGGT-1", "d15.data_GATAGAATCGCCGAGT-1", "d15.data_ACAGAAATCTCCGTGT-1", "d15.data_ACTTATCGTGTCGATT-1", "d15.data_CTGATCCTCGAGAGAC-1", "d15.data_TAAGCGTTCGTCGGGT-1", "d15.data_GTGGCGTAGCCTTCTC-1", "d15.data_TATCGCCGTGTGCCTG-1", "d15.data_TATTCCATCGAACGCC-1", "d15.data_AGGGTCCAGGTCGTGA-1", "d15.data_GTCTCACCACAACGTT-1", "d15.data_TGAGCGCGTACCGGAA-1", "d15.data_AGAGCAGTCGGAATTC-1", "d15.data_CAATTTCTCATGGTAC-1", "d15.data_GAAGAATGTGACTCTA-1", "d15.data_TCATGGAGTGAACCGA-1", "d15.data_ATCATTCAGCTCGCAC-1", "d15.data_CGGAATTTCCTCAGGG-1", "d15.data_GAAGAATGTCTCACAA-1", "d15.data_GGTTAACCACTGCACG-1", "d15.data_TATCCTATCATTCTTG-1", "d15.data_ACTGTCCGTGATGAAT-1", "d15.data_TAAGCCAGTTTGATCG-1", "d15.data_CACGGGTAGCAGTACG-1", "d15.data_ATTCCTAGTTGTGGAG-1", "d15.data_GCACGGTCACACGGTC-1", "d15.data_AGCTTCCAGGTGATCG-1", "d15.data_GGGTCTGGTCTAGGCC-1", "d15.data_TTAGTCTTCTTACCAT-1", "d15.data_GTCAAGTCATCTTCGC-1", "d15.data_CTGAGGCAGAACAGGA-1", "d15.data_TTCATTGGTAGAGGAA-1", "d15.data_CTTCTCTGTCGAATTC-1", "d15.data_GCCAACGCACTAAACC-1", "d15.data_AGGATAACATTCGATG-1", "d15.data_TTCCTTCGTTTGATCG-1", "d15.data_TTTCGATAGAGAGTGA-1", "d15.data_GTTAGTGGTAACAAGT-1", "d15.data_ATGAGGGAGCTAGATA-1", "d15.data_ATGTCTTGTTTCGATG-1", "d15.data_GAATCGTTCGTAGAGG-1", "d15.data_TCTTCCTCACAAATCC-1", "d15.data_AGGGTTTGTTGTTGAC-1", "d15.data_GGGTGTCCATTGAGGG-1", "d15.data_ATAGGCTCATACAGGG-1", "d15.data_GAGCTGCTCGTAGTGT-1", "d15.data_GAGGGTATCTGGCTGG-1", "d15.data_CGCCAGATCGGAAACG-1", "d15.data_ACATCCCTCAAGGACG-1", "d15.data_AGAGCCCTCGTTAGAC-1", "d15.data_CAAGAGGTCAGACAAA-1", "d15.data_GACAGCCCAGGTGGAT-1", "d15.data_TGGATCACACAAGTGG-1", "d15.data_GGAGCAACAATTTCTC-1", "d15.data_AATCGTGAGATGGCGT-1", "d15.data_TACTTGTGTATCGTTG-1", "d15.data_CGATGGCTCGCTCCTA-1", "d15.data_TCTCTGGAGATTGCGG-1", "d15.data_CATACAGAGCCGTAAG-1", "d15.data_AGACTCAGTCGGTAAG-1", "d15.data_ACTATTCGTAGTCGTT-1", "d15.data_CATCGGGTCGATGCTA-1", "d15.data_TGGGCGTTCGTTCCTG-1", "d15.data_AAGTCGTGTCAGTCTA-1", "d15.data_TTTGGTTAGATCCCAT-1", "d15.data_GCACGTGGTCGGCTAC-1", "d15.data_TTGATGGTCGGAGCAA-1", "d15.data_CTGCAGGGTTGCCTAA-1", "d15.data_TATATCCAGGTGAGCT-1", "d15.data_TAGATCGCATTCAGGT-1", "d15.data_ATCACAGAGCAGGCAT-1", "d15.data_CTACATTCAGACACAG-1", "d15.data_CCTATCGGTACATTGC-1", "d15.data_GTCGTTCTCCATTGCC-1", "d15.data_GTCGTTCCATCGTGCG-1", "d15.data_AATCACGTCGTAGAGG-1", "d15.data_ATGGGTTAGGGATCAC-1", "d15.data_CTGTGGGGTATGGGAC-1", "d15.data_TTGGGATGTATAATGG-1", "d15.data_CTTTCAACAGTCGCTG-1", "d15.data_GGGATGAGTTAGAAGT-1", "d15.data_AGTTAGCGTGTTGATC-1", "d15.data_TTGCATTTCCATGCAA-1", "d15.data_CAGGGCTAGCAGCAGT-1", "d15.data_AATCGACAGCGCTGAA-1", "d15.data_GTCTAGACAACATCGT-1", "d15.data_TACCGAAGTGGAAGTC-1", "d15.data_CAGTGCGGTCAAGCCC-1", "d15.data_TTGCCTGTCAAGCGTT-1", "d15.data_CATGGTAGTTGCGGAA-1", "d15.data_CATTTCATCGGTCAGC-1", "d15.data_GTGTCCTGTTTCGTAG-1", "d15.data_CCCTTAGTCTCGACGG-1", "d15.data_GATTCGACACTACCCT-1", "d15.data_ATCAGGTTCTGTACAG-1", "d15.data_AAACGCTGTGGATGAC-1", "d15.data_AGGCATTAGGCTATCT-1", "d15.data_CGGGTGTGTGGCTACC-1", "d15.data_GAGTGAGAGCAGAAAG-1", "d15.data_GTCAGCGGTGCTCGTG-1", "d15.data_CATACAGCAATCGCAT-1", "d15.data_AACAGGGAGATCCCAT-1", "d15.data_TGTGTGATCTCTGCCA-1", "d15.data_ATGCCTCGTAAGATAC-1", "d15.data_CATGCTCGTGCATGAG-1", "d15.data_ATCACGACACGACTAT-1", "d15.data_CTTGATTGTTGTGCAT-1", "d15.data_CTATAGGGTGATGAAT-1", "d15.data_AGTAGCTAGTGATAAC-1", "d15.data_CCTCCTCTCGAAACAA-1", "d15.data_AATGAAGGTTTAGAGA-1", "d15.data_GAATCGTGTGTGAGCA-1", "d15.data_TCAAGTGCACCAGACC-1", "d15.data_ACGTCCTGTCTTGCGG-1", "d15.data_GTCAGCGTCACTGGTA-1", "d15.data_TGTGAGTAGGAACGCT-1", "d15.data_TCCGAAAAGTCGAGGT-1", "d15.data_CATGAGTGTTAATGAG-1", "d15.data_TACCGAAGTCATCAGT-1", "d15.data_CGTTCTGAGAAGCGAA-1", "d15.data_TGGTACACAATGTCAC-1", "d15.data_TGCTTGCCAAATGGAT-1", "d15.data_GTGGAAGTCGACGAGA-1", "d15.data_ACGTAACCAGCTCTGG-1", "d15.data_GATGGAGCATGCCGAC-1", "d15.data_TGGGCTGTCATGCCAA-1", "d15.data_TAACACGTCTTAGCAG-1", "d15.data_AGCTACACATAGTCAC-1", "d15.data_CCTTCAGTCTCGTTTA-1", "d15.data_TAGGAGGGTTCGGACC-1", "d15.data_TTTGTTGGTGACTCGC-1", "d15.data_ATGATCGGTAGCTGAG-1", "d15.data_ACTACGAGTCCGTACG-1", "d15.data_GGTGAAGAGGCACCAA-1", "d15.data_TGTTCCGCAGAGTCAG-1", "d15.data_ACCAAACAGTGTACCT-1", "d15.data_GTGCGTGCAGCGAACA-1", "d15.data_CCTGTTGTCTGCTTAT-1", "d15.data_CGGAACCCACAGCTTA-1", "d15.data_GCCCGAACACATTACG-1", "d15.data_TGCGATAAGCTGAGTG-1", "d15.data_CTTAGGACAGCGTGAA-1", "d15.data_CAATCGAAGCGACCCT-1", "d15.data_ATGTCCCGTCGAACGA-1", "d15.data_GTGCGTGGTTACAGCT-1", "d15.data_AGGAGGTCAGGCTACC-1", "d15.data_GAATCGTGTGGACAGT-1", "d15.data_ACGTACATCGTGGCTG-1", "d15.data_GAGACTTCACGGTAGA-1", "d15.data_TATTGGGCAAGCTGTT-1", "d15.data_TCAAGCACAGGAGGTT-1", "d15.data_ATAGGCTCAAATTGGA-1", "d15.data_CTTGATTTCATCGTAG-1", "d15.data_GCCGTGAGTAATGCTC-1", "d15.data_TCGCTTGAGATGATTG-1", "d15.data_CCTCATGTCCGTCCTA-1", "d15.data_AGGACTTTCTCCGTGT-1", "d15.data_GTTGTCCGTTAAGAAC-1", "d15.data_TTCCGGTTCGACTCCT-1", "d15.data_CATCCCAAGTGGAAGA-1", "d15.data_CAGATACGTGAGGAAA-1", "d15.data_CATCCGTGTGTCCGGT-1", "d15.data_GACGCTGGTCTGATCA-1", "d15.data_AGGGTGACATTACGGT-1", "d15.data_AGCATCAGTTAGGCTT-1", "d15.data_TTTCCTCCAAGAGTAT-1", "d15.data_CAGGTATGTCTTTCTA-1", "d15.data_TCAGGTATCAACACCA-1", "d15.data_TCGCACTCAGAACTCT-1", "d15.data_CTAACTTAGCTTGTGT-1", "d15.data_ATTTCTGCACTCATAG-1", "d15.data_ACACTGATCGTTGTAG-1", "d15.data_GGGATCCTCTAGAACC-1", "d15.data_TTGCCTGGTTAAAGTG-1", "d15.data_TGGCGTGGTGGTACAG-1", "d15.data_ACCTGAACAGTAGAGC-1", "d15.data_TCTCAGCCAATGCAGG-1", "d15.data_GGCTGTGAGCCTGTGC-1", "d15.data_GCTTTCGAGGAAAGGT-1", "d15.data_GGGACCTCAGCCGGTT-1", "d15.data_CTACATTCAAGTCGTT-1", "d15.data_GTAAGTCCAGGTCAGA-1", "d15.data_GAAGTAACACTGTGTA-1", "d15.data_CCCGGAAAGACCATTC-1", "d15.data_TGGGAAGAGACTTAAG-1", "d15.data_GTGTCCTGTCACGACC-1", "d15.data_CTAACTTAGTACCCTA-1", "d15.data_GAGGGATTCCAAGAGG-1", "d15.data_AGTTCCCGTAGTACGG-1", "d15.data_ACGATGTGTAAGGTCG-1", "d15.data_TGGGATTGTAGAGTTA-1", "d15.data_AATTTCCAGTCTTGGT-1", "d15.data_CACGGGTCAGTCAGCC-1", "d15.data_ACGGAAGAGATGCTGG-1", "d15.data_ACTGATGAGTCAACAA-1", "d15.data_TCTAACTTCCCATGGG-1", "d15.data_TTCAATCTCTGTAAGC-1", "d15.data_GACCGTGCAAGAAACT-1", "d15.data_TTTACTGTCTCGAACA-1", "d15.data_TCAGTCCAGATCGCCC-1", "d15.data_GGTAATCCATGATGCT-1", "d15.data_CTTACCGCATGTGACT-1", "d15.data_TCGCACTTCCTGGGAC-1", "d15.data_ATTCCCGGTGCAGTGA-1", "d15.data_GAGGGTACATACACCA-1", "d15.data_GCCAACGGTTGCAAGG-1", "d15.data_TCGTCCAAGGGCAGTT-1", "d15.data_TAGGTACAGCGTGTCC-1", "d15.data_TGTTCCGAGCCTGAAG-1", "d15.data_TCGAACAGTTGCAAGG-1", "d15.data_CCACTTGAGGAAAGAC-1", "d15.data_GTCCCATTCTATTGTC-1", "d15.data_TGAGCATGTTAGAGAT-1", "d15.data_GCTCAAAAGAGCAAGA-1", "d15.data_GTGGTTAGTGTAACGG-1", "d15.data_AGGGTTTCACACACTA-1", "d15.data_GCGTTTCGTGACGTCC-1", "d15.data_TGTCCACTCCAGCAAT-1", "d15.data_ATGAGTCCAGACAAAT-1", "d15.data_ATGCCTCCACGCAAAG-1", "d15.data_CAGCAATGTGACAGGT-1", "d15.data_GTTCTATCAGAGCCCT-1", "d15.data_TCTAACTAGATGAAGG-1", "d15.data_AACAAGACATCCGGCA-1", "d15.data_CCGAACGCAGTACTAC-1", "d15.data_TAATTCCGTATCGTTG-1", "d15.data_TGCTGAACAAGTCGTT-1", "d15.data_GTCTGTCTCAGTGTGT-1", "d15.data_GGGACAAGTTTCGTAG-1", "d15.data_CTCAGGGAGCCATTTG-1", "d15.data_GATTGGTTCGTCACCT-1", "d15.data_CTCATGCTCAATCCAG-1", "d15.data_GTTGTAGAGATCGCCC-1", "d15.data_CGCAGGTGTGCTAGCC-1", "d15.data_TCATGAGGTCATATGC-1", "d15.data_GTAATCGCAGGTCCGT-1", "d15.data_AATGAAGGTTGGGACA-1", "d15.data_AGGATCTCAATACGAA-1", "d15.data_GGGTCTGTCCGTTGAA-1", "d15.data_GTAGGAGGTGATTCAC-1", "d15.data_GTGGAGAGTCAACACT-1", "d15.data_TACTTCAGTACAACGG-1", "d15.data_ATCGTGAAGTCCCGGT-1", "d15.data_GTGGCGTAGTCGAAAT-1", "d15.data_ACGATGTGTGCGCTCA-1", "d15.data_TCCTCCCTCTAAGAAG-1", "d15.data_CGTAAGTCACGGGTAA-1", "d15.data_CGCAGGTCAGGTGAGT-1", "d15.data_GCAGTTAAGGTCACAG-1", "d15.data_AGGGAGTTCAGTGCGC-1", "d15.data_CATGAGTCATTGCCTC-1", "d15.data_GTGAGGATCTGAGGTT-1", "d15.data_ATACCTTTCGTAGCCG-1", "d15.data_GGAATGGGTATCAGCT-1", "d15.data_TGAGGAGCAAGAAACT-1", "d15.data_ACGTAGTAGAGTGACC-1", "d15.data_TTTGTTGAGGAGGGTG-1", "d15.data_TAGTGCAAGCCACCGT-1", "d15.data_CACACAAGTGTACAGG-1", "d15.data_GCCTGTTCAGCGTATT-1", "d15.data_GGAAGTGTCATTTGGG-1", "d15.data_TGGAGGAGTCCACTTC-1", "d15.data_AGGGCCTTCTGGGCGT-1", "d15.data_GGTGTTATCATTTGGG-1", "d15.data_GCCAGTGGTGTACGCC-1", "d15.data_GTTCGCTCAGAAATTG-1", "d15.data_ATCGCCTGTGTGCCTG-1", "d15.data_TTTGGAGAGCGACTAG-1", "d15.data_TCGCAGGTCCTCTAGC-1", "d15.data_TTAGGGTCACCTGAAT-1", "d15.data_CTCTCAGCAGTATTCG-1", "d15.data_TCTCCGAAGCTCGGCT-1", "d15.data_CATGAGTCAGAAGTTA-1", "d15.data_AGGAAATTCGTCGATA-1", "d15.data_TTAATCCCATAATCGC-1", "d15.data_TAAGCGTAGTATCTGC-1", "d15.data_CGTCAAACATTCAGGT-1", "d15.data_AACCACAGTAGTTAGA-1", "d15.data_CGAGGCTAGGTTGAGC-1", "d15.data_TACGTCCGTAGCACAG-1", "d15.data_AGACAGGGTGTAAATG-1", "d15.data_CGGGCATCAGAGTGTG-1", "d15.data_GCGGAAAGTCGGATTT-1", "d15.data_AACAAAGAGATAGCTA-1", "d15.data_TTAGTCTAGAGGTGCT-1", "d15.data_GTCTTTAGTGGTACAG-1", "d15.data_AATGGAAAGGGTCTTT-1", "d15.data_GAGGCAATCGTGCGAC-1", "d15.data_ATGGATCGTGCATGAG-1", "d15.data_TGTTGGAAGTGGAAGA-1", "d15.data_GCAACCGCAGTGTACT-1", "d15.data_TCCGGGAGTAAGGTCG-1", "d15.data_TCAGCAAAGATCGCTT-1", "d15.data_GTGCTTCCACGGTAGA-1", "d15.data_CGAGTTACAGAGAAAG-1", "d15.data_ATTCATCGTTAAAGTG-1", "d15.data_ACCCTTGTCTACGGTA-1", "d15.data_ACTTTGTAGCGTGTCC-1", "d15.data_GAAACCTGTCCCTGAG-1", "d15.data_TGCTCCAGTTCAGCGC-1", "d15.data_CTGGACGAGAAGCGCT-1", "d15.data_CACGAATCACAGTGAG-1", "d15.data_CGAGGAAAGATAGTCA-1", "d15.data_GTGTTCCCATTGTCGA-1", "d15.data_GCGGAAAAGTATCTGC-1", "d15.data_CTGTAGAAGTGACACG-1", "d15.data_AGTCACAAGTGGAATT-1", "d15.data_GGAGAACTCCAGCCTT-1", "d15.data_CGTTGGGTCCTAACAG-1", "d15.data_AGAAGCGGTGACACGA-1", "d15.data_AGCTTCCAGTCTGGAG-1", "d15.data_GGAGGTACATAGCACT-1", "d15.data_GGCTTGGTCCACTTTA-1", "d15.data_TTCCTTCTCTTGGCTC-1", "d15.data_TGCGGCATCAGGACGA-1", "d15.data_CATAGACCAAATACAG-1", "d15.data_AGAGAGCAGACCATGG-1", "d15.data_CTATAGGAGCTACTGT-1", "d15.data_CCTGTTGGTAGATTGA-1", "d15.data_CGTTGGGGTTTGAAAG-1", "d15.data_ACATCGAAGGAACTAT-1", "d15.data_TCGGATATCGGCCCAA-1", "d15.data_GAATAGAGTTGTGGAG-1", "d15.data_TGTAGACAGGGAGTTC-1", "d15.data_AGAAGTAGTCGCACAC-1", "d15.data_CACAACATCTAACGGT-1", "d15.data_ACGATCAAGTGGATTA-1", "d15.data_TCGTGCTCACAACGAG-1", "d15.data_CAGTTCCGTAGGCAGT-1", "d15.data_TAATCTCAGACTGTTC-1", "d15.data_AGCTCAATCAACTGAC-1", "d15.data_GCATGATAGGCCACTC-1", "d15.data_CATGCGGAGCAGTACG-1", "d15.data_TGTTCTAGTGACCTGC-1", "d15.data_TGGTAGTTCAGACATC-1", "d15.data_TCAAGTGAGGGCGAAG-1", "d15.data_CGAGGAATCACTTGGA-1", "d15.data_TTCCTTCGTTGCTAGT-1", "d15.data_GAAACCTAGGGCGAAG-1", "d15.data_AACAGGGAGATGCAGC-1", "d15.data_GTTTACTAGGTCCCGT-1", "d15.data_TGTTTGTGTAGCCCTG-1", "d15.data_ATTACTCGTATGACAA-1", "d15.data_AGCGATTAGCATCAGG-1", "d15.data_TGAGTCATCAATCGGT-1", "d15.data_AATAGAGTCGCATTAG-1", "d15.data_TAGACTGGTTGACGGA-1", "d15.data_TCCACGTTCAACCGAT-1", "d15.data_GATGAGGGTTGTAGCT-1", "d15.data_CGACAGCGTCTCAGAT-1", "d15.data_CATCGTCTCGAGAATA-1", "d15.data_ATTCACTCAGTCGGAA-1", "d15.data_TTGATGGCAGAACGCA-1", "d15.data_AGGATAAAGCATCCTA-1", "d15.data_CTCAGTCTCGGTTAGT-1", "d15.data_TTCAATCTCAAATGCC-1", "d15.data_TTTACCAAGCCTGAGA-1", "d15.data_TTCCTAAGTCTGTAGT-1", "d15.data_CATCGTCGTTGCTAGT-1", "d15.data_TGGAGAGTCAGGGATG-1", "d15.data_AGGAGGTTCTCTCAAT-1", "d15.data_ATGAAAGAGGACGCAT-1", "d15.data_AAGGAATAGGATACCG-1", "d15.data_GAGGCAAAGTACAGAT-1", "d15.data_GTCATTTGTAGTTCCA-1", "d15.data_GGGTCACAGATTGATG-1", "d15.data_CCGATCTGTATCAAGA-1", "d15.data_TTTACGTCAACGGCTC-1", "d15.data_TCCTGCAGTGGGCTTC-1", "d15.data_GTCGTAACACCTGCAG-1", "d15.data_TAGCACAGTTGGGCCT-1", "d15.data_GCACGTGCACTGAGTT-1", "d15.data_TAAGTCGCACTCCACT-1", "d15.data_CAGATACAGCAGCAGT-1", "d15.data_GGCACGTTCGGACTGC-1", "d15.data_GTGCAGCCAGACACAG-1", "d15.data_GTTGAACCATGGCCCA-1", "d15.data_TTGAGTGTCGCATGAT-1", "d15.data_CGGGACTCACGCTTAA-1", "d15.data_GTCAAGTAGGCATCGA-1", "d15.data_AAGCCATGTACAGTTC-1", "d15.data_TTGGTTTAGCAAACAT-1", "d15.data_TACCGAACAAGCAATA-1", "d15.data_TCCGAAATCTCGCTTG-1", "d15.data_TTCGGTCAGGTATAGT-1", "d15.data_GTGAGCCGTTATAGAG-1", "d15.data_CAGTTAGAGAACAGGA-1", "d15.data_AACCTTTTCACACCGG-1", "d15.data_ATCGGCGGTGTTGATC-1", "d15.data_ACCAAACTCATTTGCT-1", "d15.data_CTTTCGGAGGCCCACT-1", "d15.data_TCATTTGGTGGTAACG-1", "d15.data_TAGCACAGTTAGCGGA-1", "d15.data_TGCGGCACACGGATCC-1", "d15.data_ACAACCAAGTGGCAGT-1", "d15.data_TTTCAGTTCTCGTGAA-1", "d15.data_GCTCAAATCGTGCAGC-1", "d15.data_AGGCATTCAATGAACA-1", "d15.data_CATCCGTCAGATCCTA-1", "d15.data_CATCGTCGTTCCTAAG-1", "d15.data_CGTGTCTGTTACACTG-1", "d15.data_TGCGGGTGTCCTACGG-1", "d15.data_AAATGGAGTTTCGGCG-1", "d15.data_TACGGGCTCACCATGA-1", "d15.data_GATCGTATCAAATGCC-1", "d15.data_TCAATTCAGAACTCCT-1", "d15.data_ACGATGTGTTAACAGA-1", "d15.data_CGAGTGCGTTGTGGAG-1", "d15.data_GTGCACGCACTGTGTA-1", "d15.data_GTCTACCGTCGAGCTC-1", "d15.data_TCAGTGAGTGTTCCTC-1", "d15.data_GCAACATTCCAACTAG-1", "d15.data_CCTGCATCACAGCTTA-1", "d15.data_TGAGGTTGTTCTCACC-1", "d15.data_GTTACCCTCCTCAGAA-1", "d15.data_AGTCAACGTGCAATAA-1", "d15.data_CGGAACCGTTACGGAG-1", "d15.data_AGCGCTGAGGTTTGAA-1", "d15.data_GAAGGGTTCGATACAC-1", "d15.data_CTTCTCTTCAACTACG-1", "d15.data_GAGTGTTAGGATTACA-1", "d15.data_CGCATGGAGCAGGCTA-1", "d15.data_AGTGACTAGCATCAAA-1", "d15.data_TCAGCAAGTTGATCGT-1", "d15.data_AGTAACCGTGATTCAC-1", "d15.data_CATTCTAGTCAGACGA-1", "d15.data_CGATGGCGTAGGCAAC-1", "d15.data_GGGTTATAGTTACGGG-1", "d15.data_AGCTACAGTTGCATGT-1", "d15.data_TCATTTGGTCTTAGTG-1", "d15.data_CTTCTAAAGAAGTATC-1", "d15.data_CTATCTACAAGTGCAG-1", "d15.data_TCATGGAGTCTGTGTA-1", "d15.data_TAACCAGGTGACCGTC-1", "d15.data_AGAGAGCAGCAACCAG-1", "d15.data_CATCCACTCAGAGCAG-1", "d15.data_TCTGGCTCAACGATCT-1", "d15.data_TCAGGGCCACGGGCTT-1", "d15.data_CGAAGGACATACCAGT-1", "d15.data_GCCGATGCAAGTGGCA-1", "d15.data_CACTGGGGTGTTGAGG-1", "d15.data_GCCCGAAGTATTTCCT-1", "d15.data_CGTTGGGTCCATACAG-1", "d15.data_ACTCCCACAGGAGACT-1", "d15.data_TATCAGGCAACGAGGT-1", "d15.data_GACCGTGAGACAACAT-1", "d15.data_TTTCAGTGTCTTCAAG-1", "d15.data_GGCTTGGGTGCATGAG-1", "d15.data_AACTTCTTCCACGTCT-1", "d15.data_ACACGCGTCTCATGCC-1", "d15.data_AAGACAACAGAGTTCT-1", "d15.data_TTTACCAGTCGCATCG-1", "d15.data_TTCCTAAAGCGTCAGA-1", "d15.data_CTGCCATAGCCACCGT-1", "d15.data_TACTTGTCAGGTTCGC-1", "d15.data_GTAATCGGTAGAGACC-1", "d15.data_ACGGTCGGTCAAAGTA-1", "d15.data_GACCCAGAGGGCTAAC-1", "d15.data_CCGGTAGAGGTGATAT-1", "d15.data_CCTCAACCAGTAGTTC-1", "d15.data_TCATGTTTCCGTGGGT-1", "d15.data_TTGTTCAGTGCCTATA-1", "d15.data_AGAAATGCAGGCTACC-1", "d15.data_TCCTTTCGTAGTCCTA-1", "d15.data_GAGTTGTAGATGGCAC-1", "d15.data_ACTTCCGAGAGGACTC-1", "d15.data_GTGGAAGGTTGACTGT-1", "d15.data_GAGTTGTCAGGACGAT-1", "d15.data_GCCCAGACACTGTCGG-1", "d15.data_TTACAGGGTTGATGTC-1", "d15.data_TGTGAGTGTCATCGCG-1", "d15.data_TGGATCAAGACTAAGT-1", "d15.data_CGAGAAGCATGCGTGC-1", "d15.data_TGTGATGCAGCTAACT-1", "d15.data_ACACAGTGTGACCGAA-1", "d15.data_TCACTATCAAAGCGTG-1", "d15.data_ATGACCACATCAACCA-1", "d15.data_TGAGACTTCATCACAG-1", "d15.data_ATTGGGTGTCCAGGTC-1", "d15.data_TACGCTCGTGCCCAGT-1", "d15.data_ACGATGTAGGGCAATC-1", "d15.data_TTGCATTAGACATAAC-1", "d15.data_TTTCAGTGTCTGCGCA-1", "d15.data_TCTCCGAAGGATTACA-1", "d15.data_GGGACCTAGTGGAAGA-1", "d15.data_GTGTTCCCAACTGATC-1", "d15.data_TTCGATTCATCAGCAT-1", "d15.data_CAGATCACAGAGATTA-1", "d15.data_TACGGGCTCTGTCCCA-1", "d15.data_TAACACGAGCTAAACA-1", "d15.data_AATGAAGTCGCTTAAG-1", "d15.data_TCCCATGAGAAGAACG-1", "d15.data_AGACACTTCGTTGTAG-1", "d15.data_CATCGTCTCACTGTCC-1", "d15.data_GTAGAGGGTCGCATGC-1", "d15.data_ACCATTTTCGTAGAGG-1", "d15.data_CCTCTCCTCTGAGGCC-1", "d15.data_TTGCGTCCAGCTGAGA-1", "d15.data_TCCTGCATCGCTGATA-1", "d15.data_AGCGATTGTTAGCGGA-1", "d15.data_TCATATCCAAATCAAG-1", "d15.data_TCATTCATCACCATCC-1", "d15.data_CGAAGGATCTCTGCTG-1", "d15.data_ATAGAGAGTGTCCTAA-1", "d15.data_TCGAAGTGTAGCTGTT-1", "d15.data_CCGATCTAGATGTTAG-1", "d15.data_CGGACACTCCCAGCGA-1", "d15.data_AATCGTGGTTTCCATT-1", "d15.data_CAATCGATCGCTCTAC-1", "d15.data_GGGAGTACACGTCGTG-1", "d15.data_GTTACCCAGTTCATGC-1", "d15.data_TTTCGATAGTTAACAG-1", "d15.data_CTGGTCTTCATCGACA-1", "d15.data_GTAAGTCTCCGATCGG-1", "d15.data_CTCAGAAGTGCAACAG-1", "d15.data_TCACTCGTCCTACCGT-1", "d15.data_TTGTTGTGTTTCCCAC-1", "d15.data_GGGTGTCCAGCGTACC-1", "d15.data_CTTCTAAGTTATGACC-1", "d15.data_AAGCATCCACTACGGC-1", "d15.data_CAATTTCGTATGTCAC-1", "d15.data_GATAGCTGTCACTTAG-1", "d15.data_CTACCCAGTAACACGG-1", "d15.data_CTGGCAGTCTTCGTAT-1", "d15.data_TTTACCAAGTGATGGC-1", "d15.data_TATCTTGGTAACACCT-1", "d15.data_AGGCATTAGTTTCGGT-1", "d15.data_AGGGTGACAGGGACTA-1", "d15.data_AGCCAGCGTTGCGGCT-1", "d15.data_GACAGCCTCGTTCTCG-1", "d15.data_AGGTGTTCAGCTAACT-1", "d15.data_GGCAGTCGTGCGAACA-1", "d15.data_ACGGAAGTCTGACGCG-1", "d15.data_TCATGTTGTTGCTAGT-1", "d15.data_CTACAGATCCGCAAAT-1", "d15.data_GTATTGGAGGTAGTCG-1", "d15.data_AATCACGGTCACCGCA-1", "d15.data_GTTAGACAGGTTCCAT-1", "d15.data_GCCAGCACAGTGGTGA-1", "d15.data_AACCACAAGGGCCCTT-1", "d15.data_AGACTCAGTGCCTTCT-1", "d15.data_ACGGGTCTCCTACAAG-1", "d15.data_GACGTTAGTTCCGCGA-1", "d15.data_TCATACTAGCTCAGAG-1", "d15.data_ATTACCTGTTAGGCTT-1", "d15.data_AGAGCAGCAATGTCTG-1", "d15.data_AAGATAGCACGACCTG-1", "d15.data_AGGCCACTCAGTGTCA-1", "d15.data_CCCGAAGAGACCAGAC-1", "d15.data_GAGTTACCAGGTCAAG-1", "d15.data_AGTCATGTCTTCTCAA-1", "d15.data_GGGTTATCACACGCCA-1", "d15.data_TCGTAGAGTCATGGCC-1", "d15.data_GTTACGAAGTCTGCAT-1", "d15.data_ATTCAGGTCTTTCTAG-1", "d15.data_TCGTCCAGTGTACGCC-1", "d15.data_GGCAGTCTCCCAGCGA-1", "d15.data_ATCGATGCAGAGTTGG-1", "d15.data_TCCTAATCACTAAACC-1", "d15.data_ATTCATCAGGACTAAT-1", "d15.data_TTCCGGTTCGCGTAGC-1", "d15.data_CACGAATCAAGCCTGC-1", "d15.data_TTACAGGTCAGTGCGC-1", "d15.data_GGCAGTCTCCAGCCTT-1", "d15.data_TCTCCGATCATTACGG-1", "d15.data_ATTGGGTTCTGGACCG-1", "d15.data_CAGAGCCCAAGTGGAC-1", "d15.data_TGGCGTGCACAATGAA-1", "d15.data_AGACAAAAGAAGCGCT-1", "d15.data_ATTCCATCACAGGATG-1", "d15.data_ATCGTAGGTGTAGGAC-1", "d15.data_GGTGTCGGTGTTCATG-1", "d15.data_CTGCCATCAATTTCTC-1", "d15.data_CAGGGCTTCACGATCA-1", "d15.data_AGATAGAAGGGAGGCA-1", "d15.data_CTGCGAGCAATTCGTG-1", "d15.data_TGCATCCAGACCAAGC-1", "d15.data_TCGGTCTTCCGATTAG-1", "d15.data_TGATGGTGTAAGACCG-1", "d15.data_TTTGATCAGTGGAAGA-1", "d15.data_CTGGACGAGGTTGCCC-1", "d15.data_TCGCTCAGTGGTATGG-1", "d15.data_AGTTCGATCCACCCTA-1", "d15.data_AAAGAACTCTTCGTGC-1", "d15.data_AGAGCAGTCTAGACCA-1", "d15.data_ATGCGATTCAGAGTGG-1", "d15.data_GAGGGATAGTTGCCCG-1", "d15.data_GGATCTAGTCATACCA-1", "d15.data_GGAATGGAGGTTATAG-1", "d15.data_TCTCTGGAGATGTTCC-1", "d15.data_GCATCTCCAAGCCCAC-1", "d15.data_GTTGTAGAGTTGAAGT-1", "d15.data_ACACAGTCAGAGGCAT-1", "d15.data_CCGTTCACAGCTGTCG-1", "d15.data_GGCAGTCTCGTGGGAA-1", "d15.data_AATGCCAGTTCTCCTG-1", "d15.data_TGCGGCAGTGGTCTCG-1", "d15.data_TTGTTTGAGAGTCGAC-1", "d15.data_CTAGGTAAGCTGTGCC-1", "d15.data_ACGCACGAGTCGAGGT-1", "d15.data_CGGTCAGGTGCAACGA-1", "d15.data_GAGTTGTCATAGAAAC-1", "d15.data_TGGGAAGTCTTACGTT-1", "d15.data_TATTTCGGTAAGCGGT-1", "d15.data_TCGGGTGTCGATCCAA-1", "d15.data_TGTGCGGCATGTCTAG-1", "d15.data_AGACTCATCAGCTAGT-1", "d15.data_CTACCTGAGTAAACTG-1", "d15.data_CATCAAGAGCGTTCCG-1", "d15.data_CACGAATGTGCCGTTG-1", "d15.data_GAAATGACACCATTCC-1", "d15.data_CATTCTACAGATCCTA-1", "d15.data_TTGCGTCTCACGAGGA-1", "d15.data_CTACCTGGTTGCATGT-1", "d15.data_GAAGCCCGTTTGGGAG-1", "d15.data_TGACAGTAGACGACTG-1", "d15.data_CATTCTATCCACTGGG-1", "d15.data_TTGTTTGGTGAACCGA-1", "d15.data_TCACTATAGAGGCGTT-1", "d15.data_TTAGGCAGTATAGCTC-1", "d15.data_GCATTAGAGGACCCAA-1", "d15.data_TGTACAGTCTCCAAGA-1", "d15.data_ACCATTTCAACTGGTT-1", "d15.data_CACAGATTCGATACGT-1", "d15.data_GGACGTCAGGGAGGTG-1", "d15.data_GGAACCCTCGGTGTAT-1", "d15.data_GTGAGTTTCGGTCATA-1", "d15.data_TAGTGCAGTACGACAG-1", "d15.data_GAATCGTCAGTAGGAC-1", "d15.data_TGTCCCAGTAGTCACT-1", "d15.data_CCGGGTAAGCTACTAC-1", "d15.data_TGAGGAGAGCTGTCCG-1", "d15.data_TACCTGCAGGTCCCTG-1", "d15.data_TCCGGGAAGTTACGTC-1", "d15.data_GGGATGACATCAGCTA-1", "d15.data_AGTTAGCGTGTGTTTG-1", "d15.data_TCATACTTCAAGGCTT-1", "d15.data_GTACAGTGTTATCCAG-1", "d15.data_AGAACAAGTAGAATGT-1", "d15.data_TCTGGCTGTAGCGTCC-1", "d15.data_GGCTTTCTCGACGATT-1", "d15.data_AAGCCATGTGGAGAAA-1", "d15.data_TTTACCAAGTTGCTCA-1", "d15.data_CATCGTCAGCAATTAG-1", "d15.data_CAGGTATCACGCGTGT-1", "d15.data_ATTCTACTCTTTACAC-1", "d15.data_GAGTTACTCTTCGCTG-1", "d15.data_GTGATGTTCGGTAAGG-1", "d15.data_TTGAACGTCGGAGTGA-1", "d15.data_GTCTTTAAGTATGCAA-1", "d15.data_CTGAGGCAGCTCCACG-1", "d15.data_CGCGTGATCTGAGGCC-1", "d15.data_TCGTCCAGTCAGTCCG-1", "d15.data_GACAGCCGTTGCACGC-1", "d15.data_ACAGAAAAGTGATTCC-1", "d15.data_TGTTACTGTGGAGGTT-1", "d15.data_TGGAGGATCGTTATCT-1", "d15.data_CTACATTGTTAGGAGC-1", "d15.data_AGGACTTAGACCATAA-1", "d15.data_ACTTATCGTCCTACAA-1", "d15.data_GTGATGTAGCCTCTGG-1", "d15.data_TTTACCATCGGTGTAT-1", "d15.data_CACCGTTTCCTTGAAG-1", "d15.data_CATGAGTAGCATTGAA-1", "d15.data_ATCGATGCATCCCGTT-1", "d15.data_GGTTCTCCAAATGGCG-1", "d15.data_ATCGGATAGTTCTCTT-1", "d15.data_CAGATCACAGTCAGTT-1", "d15.data_GACTGATGTAGGGAGG-1", "d15.data_GGGTCACTCTTTCAGT-1", "d15.data_CATAAGCTCGGTCGGT-1", "d15.data_TGTAACGAGTCCCAAT-1", "d15.data_CATCGTCCACGTGTGC-1", "d15.data_AGTTAGCGTGGACAGT-1", "d15.data_TTGGTTTCAACGACTT-1", "d15.data_ATCTTCATCGTGTGGC-1", "d15.data_CCGTGAGTCGGCCAAC-1", "d15.data_CAATACGAGAACCCGA-1", "d15.data_ATAGACCTCTACTATC-1", "d15.data_GAAGGACTCCGTGTCT-1", "d15.data_GAAGGGTTCTTGATTC-1", "d15.data_ACTTTCACATTAAAGG-1", "d15.data_TCACACCAGAGCTGAC-1", "d15.data_CTCAGTCAGGAACGCT-1", "d15.data_GAATCGTAGCATGCAG-1", "d15.data_TGATGCAAGATTGCGG-1", "d15.data_TGGATGTGTTTCTATC-1", "d15.data_GCACGGTAGCTTCGTA-1", "d15.data_GGCAGTCGTCTTTATC-1", "d15.data_CCACGAGCACCAGCTG-1", "d15.data_TACCTCGTCGGAAACG-1", "d15.data_CGAGGAAAGATGAATC-1", "d15.data_TACGCTCCATCGCCTT-1", "d15.data_GATGATCAGCCAACCC-1", "d15.data_CTCATGCTCGTAGTGT-1", "d15.data_TGTTTGTAGGCCATAG-1", "d15.data_CATCCACTCTGTAAGC-1", "d15.data_ATGAGGGGTTGGGTTT-1", "d15.data_CACTGTCCAGGTGACA-1", "d15.data_CCGGACAGTCTGCGCA-1", "d15.data_GTTACAGTCTGATTCT-1", "d15.data_CTTAGGATCAAGTGGG-1", "d15.data_GGAGATGGTCAACATC-1", "d15.data_ATGGATCAGGATTACA-1", "d15.data_AGAAGCGGTCCGAAAG-1", "d15.data_GAGCCTGAGCAGATAT-1", "d15.data_ACTGTCCGTTAGTTCG-1", "d15.data_AGGTTACTCATCTGTT-1", "d15.data_ACCGTTCTCCACCTGT-1", "d15.data_TTCTTGAAGGGATCTG-1", "d15.data_TTTACGTGTACGGGAT-1", "d15.data_GCAGTTATCGTAATGC-1", "d15.data_ACAAGCTTCATTACCT-1", "d15.data_TCGGGTGCACTCTCGT-1", "d15.data_AAAGAACAGATGGGCT-1", "d15.data_CAGAGCCGTTGTCTAG-1", "d15.data_ACTTCGCTCCCTCATG-1", "d15.data_CTCATCGCAGAGGCTA-1", "d15.data_GTCTTTACATTACGGT-1", "d15.data_GTTGTAGGTTAGGACG-1", "d15.data_TTTATGCCACTTCATT-1", "d15.data_TCATTCATCTTTGATC-1", "d15.data_CTACTATGTAAGCGGT-1", "d15.data_TCAGGTAAGCCACAAG-1", "d15.data_GGGTGAACACAGCCAC-1", "d15.data_ATCAGGTTCCGCGATG-1", "d15.data_GAAGAATAGAATCGAT-1", "d15.data_TATCTGTTCATTGTTC-1", "d15.data_TTTGGAGAGGTGCATG-1", "d15.data_AGGACGATCCAGGACC-1", "d15.data_TTGGGTAGTTGCGGCT-1", "d15.data_GTACAGTCATAGGTAA-1", "d15.data_TACGGTAGTAGGTCAG-1", "d15.data_GATCACATCTGTGCAA-1", "d15.data_TCTGCCATCCTTGGAA-1", "d15.data_AGGGTCCGTTACGTAC-1", "d15.data_ACTTAGGTCTCTTGCG-1", "d15.data_TGCCGAGTCCATTCGC-1", "d15.data_GGAATGGAGACTCTTG-1", "d15.data_AAAGTCCGTGGGTCAA-1", "d15.data_CGTTCTGGTGCCAAGA-1", "d15.data_CACGAATTCTCGTGGG-1", "d15.data_GTGCGTGGTTGTATGC-1", "d15.data_CAAGGGATCAGGTAAA-1", "d15.data_TATCCTAAGAGTGTGC-1", "d15.data_TGATTTCCAACACGTT-1", "d15.data_GATGACTGTAGGTTTC-1", "d15.data_TATCCTATCTCGCAGG-1", "d15.data_ACACCAAGTCGTATGT-1", "d15.data_AGTAGCTAGATGCTTC-1", "d15.data_CCGTGAGCAAATACAG-1", "d15.data_GCGTGCAGTCCCGTGA-1", "d15.data_TAGCACAGTATGAGGC-1", "d15.data_ACGGTCGGTAATGCTC-1", "d15.data_TGATGCACATGAAGGC-1", "d15.data_TTGCATTGTTCGTACA-1", "d15.data_TCCATGCGTTGGCTAT-1", "d15.data_TTCCAATCATACCGTA-1", "d15.data_AGTGATCTCGCGTGAC-1", "d15.data_CCGATCTGTTCTTAGG-1", "d15.data_ATCCACCGTGACCGAA-1", "d15.data_GTGGGAAAGCGCTGAA-1", "d15.data_GGGCTCAGTGACATCT-1", "d15.data_TTCATTGAGTCGCCCA-1", "d15.data_CGTTGGGGTGAGTAAT-1", "d15.data_CTGTATTTCCACAGCG-1", "d15.data_GGTTCTCAGCATGAAT-1", "d15.data_ACCGTTCTCTTCGTAT-1", "d15.data_GCACTAAGTCGCACAC-1", "d15.data_TTTACCAGTACCCGAC-1", "d15.data_ACTCCCAAGTCTGGTT-1", "d15.data_TTCGGTCCACCCATAA-1", "d15.data_GAGTGAGCAAACAGGC-1", "d15.data_ATGGAGGAGGTTTGAA-1", "d15.data_CACTGAATCGAGATGG-1", "d15.data_CGCATAACAACAAGTA-1", "d15.data_GTGCGTGAGAAAGCGA-1", "d15.data_TTGGGTAAGCCATATC-1", "d15.data_GGAGGATCATAGACTC-1", "d15.data_TGCGGCAGTCCAGCCA-1", "d15.data_TGTCCTGAGTCAGAGC-1", "d15.data_TCTTTGATCCGCTGTT-1", "d15.data_TGATGCATCCCGAATA-1", "d15.data_ATCGTGAGTGCTGCAC-1", "d15.data_GACATCACAACGGTAG-1", "d15.data_AGATGCTGTGTCCGTG-1", "d15.data_AGTTCGAAGTTAACAG-1", "d15.data_GGTCACGGTGAATGAT-1", "d15.data_TGAGGTTAGCTGAAGC-1", "d15.data_TCAATTCTCCAAGCTA-1", "d15.data_GGGTCACTCTAAGCGT-1", "d15.data_CAGATTGGTATGGAGC-1", "d15.data_TGACGCGGTGTCTTCC-1", "d15.data_AGTCATGGTCATGGCC-1", "d15.data_AGCGATTAGCCATTTG-1", "d15.data_ATTCACTCAACAGATA-1", "d15.data_TGGAGGACAAGTCCCG-1", "d15.data_GTATTGGTCTGGAAGG-1", "d15.data_ATCACGAAGACAGCTG-1", "d15.data_AAGTGAACAACTGCTA-1", "d15.data_CTGTCGTCAGATTCGT-1", "d15.data_ACGTTCCCAACTTGCA-1", "d15.data_ATCCACCGTGCAGTGA-1", "d15.data_GAGGGTACATTCACCC-1", "d15.data_GCGAGAAAGTCGAGGT-1", "d15.data_AACACACCATCGATAC-1", "d15.data_TCGGGCATCTTTCCGG-1", "d15.data_AGTCACATCTTTCTAG-1", "d15.data_CCGCAAGTCGGCTGAC-1", "d15.data_TCGTCCATCTGGCTGG-1", "d15.data_CGAATTGAGCGTGTTT-1", "d15.data_CTAGGTAAGCCTATTG-1", "d15.data_AAGGAATCAGGGTCTC-1", "d15.data_TGACTCCAGCGTGCTC-1", "d15.data_GAATAGAAGCGCGTTC-1", "d15.data_AGGATAAAGTGGCAGT-1", "d15.data_TGTCCTGTCATCACCC-1", "d15.data_GTTGTAGAGGTAATCA-1", "d15.data_TCATGGATCCGAACGC-1", "d15.data_CCATCACGTATCGTAC-1", "d15.data_CTCCCTCGTTACACAC-1", "d15.data_TCTTGCGTCCGTGCGA-1", "d15.data_ACATCGAAGGACAACC-1", "d15.data_TAGACTGGTCCGACGT-1", "d15.data_TGGGATTCATAGTCAC-1", "d15.data_ACCAACAGTAACAAGT-1", "d15.data_ACATGCAAGCTGAAGC-1", "d15.data_GTGGAGATCCCGAGGT-1", "d15.data_TCAGGTAAGTAATACG-1", "d15.data_GTGAGGAGTATTGACC-1", "d15.data_CAGCAGCGTGCAATAA-1", "d15.data_TTGGTTTCATGAGAAT-1", "d15.data_GATTGGTGTCGTCAGC-1", "d15.data_TGAGCATGTTGATCGT-1", "d15.data_CCTAAGAAGCCGAATG-1", "d15.data_ATGGGAGGTTGTCTAG-1", "d15.data_GTCCACTTCCGAGTGC-1", "d15.data_CGAGAAGGTTCAAACC-1", "d15.data_CATCGTCTCCTCATAT-1", "d15.data_GTCGCGATCAGTCTTT-1", "d15.data_CCACAAATCCCTCGAT-1", "d15.data_CGTCAAAGTTTAGACC-1", "d15.data_TTTAGTCCAATCTCTT-1", "d15.data_TGCACGGGTAGTATAG-1", "d15.data_AGTGATCCACAACGAG-1", "d15.data_ATCCATTGTTTAGACC-1", "d15.data_AGTCACAGTGCGGATA-1", "d15.data_TCGGGCAGTCCTCCTA-1", "d15.data_CAGGTATAGGTAGCCA-1", "d15.data_TCATGCCCAAACTAAG-1", "d15.data_CGTGATACATGTGACT-1", "d15.data_ATCGATGTCCATGAGT-1", "d15.data_TGATTCTAGATCGCCC-1", "d15.data_GTTACCCCACAACATC-1", "d15.data_GTCTTTAAGGGCAAGG-1", "d15.data_ATGCGATCAACCCTCT-1", "d15.data_CTGTCGTCAACTCGAT-1", "d15.data_GGAGCAAGTACAAAGT-1", "d15.data_GTCAAGTAGCCAAGTG-1", "d15.data_CCTCTAGCATCCGAGC-1", "d15.data_AGGGAGTCATTCATCT-1", "d15.data_TTGGGCGTCGAAATCC-1", "d15.data_TAACCAGGTTCAGCTA-1", "d15.data_GCCATGGAGAGTGACC-1", "d15.data_AACAGGGTCTAGAACC-1", "d15.data_TTCCGTGTCCACACAA-1", "d15.data_AGGTTACGTCCCAAAT-1", "d15.data_GGTAACTGTCTTGCTC-1", "d15.data_ATCGTAGTCGATAACC-1", "d15.data_TCTCACGGTGGCTACC-1", "d15.data_CACTGAAGTTACCGTA-1", "d15.data_GGTAATCGTGGCTAGA-1", "d15.data_TGTTTGTGTCGTCGGT-1", "d15.data_ACTTAGGGTCGTTGCG-1", "d15.data_AACCCAAGTTTGTGGT-1", "d15.data_CGAGGCTGTCACATTG-1", "d15.data_TGACTCCGTAATTAGG-1", "d15.data_ATCCGTCGTTGCCAAT-1", "d15.data_ACCTGAAGTTTCACTT-1", "d15.data_ATGCCTCAGTTGGGAC-1", "d15.data_GGGTTATCACTTGGGC-1", "d15.data_TCATTACTCCTTATCA-1", "d15.data_GTTACGAGTATCCTTT-1", "d15.data_AATCACGGTATCACCA-1", "d15.data_CAACAGTTCCAGTGTA-1", "d15.data_TTCCGTGTCAGCTTCC-1", "d15.data_ATACCTTCACCAACAT-1", "d15.data_TATCTGTGTCGACTGC-1", "d15.data_AGACAGGGTTGCTGAT-1", "d15.data_GTTAGTGGTGGGACAT-1", "d15.data_GAGGCCTAGATGACCG-1", "d15.data_CACAGATCAGCAGTGA-1", "d15.data_TTAGTCTCAATACGAA-1", "d15.data_GTAGGAGCACCCGTAG-1", "d15.data_AGGGAGTTCCTGGGTG-1", "d15.data_CTCCCTCAGCACACAG-1", "d15.data_AAAGGATAGTAGTCCT-1", "d15.data_GGGTATTTCGTCGATA-1", "d15.data_CTATCCGGTGCACGCT-1", "d15.data_TGCAGTAGTCCTCATC-1", "d15.data_CGATGGCCAATGACCT-1", "d15.data_ACAAAGAAGGGCAAGG-1", "d15.data_ATTCCTACACTACTTT-1", "d15.data_CCAATTTTCATGAGTC-1", "d15.data_CGGAATTGTTTGCAGT-1", "d15.data_GAGGGTACACAGTCCG-1", "d15.data_TTGTGGAGTGCAACGA-1", "d15.data_TTACCGCGTCAGCTTA-1", "d15.data_CGAGGAACACCATAAC-1", "d15.data_CTACGGGGTGCATTTG-1", "d15.data_GCCAGGTTCCCGTGTT-1", "d15.data_GAAGCGACATGGCACC-1", "d15.data_GGAGGATCATGGGATG-1", "d15.data_AACTTCTTCCGCACTT-1", "d15.data_CGATCGGAGGTCATAA-1", "d15.data_GACGTTACACGCAAAG-1", "d15.data_ATACCGAGTGGAGAAA-1", "d15.data_AATTTCCCAGAAATTG-1", "d15.data_GCACTAAGTGGTCTTA-1", "d15.data_TAGGAGGTCAAACGTC-1", "d15.data_TTGCGTCAGTCACTAC-1", "d15.data_CATGCCTAGGGAGGGT-1", "d15.data_GGGTCACTCTGTCTCG-1", "d15.data_GTGCTGGCATAATGCC-1", "d15.data_GAGGGATAGTCCCGGT-1", "d15.data_AACTTCTCATAAGCGG-1", "d15.data_CCGAACGCATTGTACG-1", "d15.data_TGTTGGAAGGAAGTAG-1", "d15.data_ACATCCCAGCAGGCTA-1", "d15.data_TGTTCTACACTTGTCC-1", "d15.data_GGTTGTAAGGGCGAGA-1", "d15.data_AGGGTCCGTAAGAACT-1", "d15.data_GGTTCTCGTATTCCTT-1", "d15.data_TCCTTTCAGGGCGAAG-1", "d15.data_CTGTGGGGTCTACAAC-1", "d15.data_AGAGAATTCTTACGTT-1", "d15.data_TTGGATGGTCCTTGTC-1", "d15.data_GGGCTCACAAATCAGA-1", "d15.data_CATGCAAAGGGTACAC-1", "d15.data_GTAATGCTCAAATAGG-1", "d15.data_ATGGGTTTCGTGTGAT-1", "d15.data_CTCCTTTTCTGCAGCG-1", "d15.data_TGCTGAATCCACAGGC-1", "d15.data_TTGTGTTCATTGCCTC-1", "d15.data_ACAGGGAAGCGAGGAG-1", "d15.data_GTAACCAGTTTAGAGA-1", "d15.data_CAGGCCAGTACAGTAA-1", "d15.data_GTCGAATGTCCCGGTA-1", "d15.data_CAGATACTCATTGAGC-1", "d15.data_GAAGGGTTCGCTTACC-1", "d15.data_GTCGTTCAGTTTGGCT-1", "d15.data_CGTGATAAGTCTCGTA-1", "d15.data_GACACGCTCAAAGGTA-1", "d15.data_ATTACCTTCGCGTGCA-1", "d15.data_ACCCTTGGTGCGTCGT-1", "d15.data_GTCTAGACAGGCACTC-1", "d15.data_ACGTTCCAGTTACTCG-1", "d15.data_AGACTCATCCATATGG-1", "d15.data_TTCTAGTGTCTCAAGT-1", "d15.data_CGCGTGATCTAGACCA-1", "d15.data_GCCGATGCACATGTTG-1", "d15.data_TGTCCACCAGTAACGG-1", "d15.data_TATCGCCCAGACGGAT-1", "d15.data_ATCGTGAGTATAGGGC-1", "d15.data_CGAGGAAAGTATGTAG-1", "d15.data_CTCAATTGTGCCTGAC-1", "d15.data_ACCTGAAAGAGATGCC-1", "d15.data_TGTTCTACACTTCATT-1", "d15.data_ACCAAACGTCGAAGCA-1", "d15.data_CTCAGTCCAACTTCTT-1", "d15.data_CATCGGGTCCTGATAG-1", "d15.data_AGTCATGAGATGGTCG-1", "d15.data_TCTTAGTCAGAACGCA-1", "d15.data_GACCAATTCAGACTGT-1", "d15.data_GGTCTGGGTTGTGTTG-1", "d15.data_ATGAGTCAGTTTCGAC-1", "d15.data_GAAGGGTTCTACCACC-1", "d15.data_ATGAGTCAGTTTGGCT-1", "d15.data_TGGTGATGTATTTCGG-1", "d15.data_AAATGGAGTATGAGGC-1", "d15.data_AAAGAACGTTGCCGAC-1", "d15.data_TTCGCTGCATGACGGA-1", "d15.data_GAGCTGCGTATTGGCT-1", "d15.data_CGGACACAGCTATCCA-1", "d15.data_GGTGAAGTCAGCGTCG-1", "d15.data_ATTTACCGTCATCGCG-1", "d15.data_TGGGCGTAGAAACCAT-1", "d15.data_TATCTGTTCGCCAATA-1", "d15.data_TTGGATGAGAGTTCGG-1", "d15.data_GATGCTAAGTATGGCG-1", "d15.data_TTTACGTCAAACGTGG-1", "d15.data_GTTACCCAGTTTGGCT-1", "d15.data_TATGTTCAGTTAGTGA-1", "d15.data_GTCATCCTCTAACACG-1", "d15.data_TATCAGGGTTGCCAAT-1", "d15.data_GCTACCTAGATGTAGT-1", "d15.data_AGAAGTATCAAAGGAT-1", "d15.data_GGAAGTGCATAGGAGC-1", "d15.data_GGGTGTCTCCGACGGT-1", "d15.data_ACATCGAGTCCCGCAA-1", "d15.data_TTTGACTCAACGACAG-1", "d15.data_CTCCACATCCCAGGAC-1", "d15.data_CAGGTATCAACCACAT-1", "d15.data_AATGGAAGTACTAACC-1", "d15.data_TAGTGCATCTGCTCTG-1", "d15.data_CTGCGAGAGAGGATCC-1", "d15.data_GAGGGATGTTCAAACC-1", "d15.data_TATCTTGTCAAACCTG-1", "d15.data_AGCATCAAGCAGGTCA-1", "d15.data_GGGACTCCACTCACTC-1", "d15.data_TGAGCGCAGAAACTGT-1", "d15.data_TGCTCCATCTCCACTG-1", "d15.data_GAGTGAGCACCGCTGA-1", "d15.data_GCTACCTGTCTTAGTG-1", "d15.data_TATCTTGCACTTGGCG-1", "d15.data_TCATTCACACGTACAT-1", "d15.data_GCACGGTGTGGCTGCT-1", "d15.data_TTCAGGAGTGCAATGG-1", "d15.data_TTGTGGAAGCTTTCTT-1", "d15.data_CAGCACGCAAGCGCAA-1", "d15.data_ATTCATCGTACAGCGA-1", "d15.data_TGACTCCTCTCATTGT-1", "d15.data_GTCGCGAGTACATTGC-1", "d15.data_GTTTGGAGTGTGACCC-1", "d15.data_AGCTCAAGTCCGACGT-1", "d15.data_ACGGGTCTCGCTTGAA-1", "d15.data_AACAAAGGTACGAGTG-1", "d15.data_CCACACTCACAAGGTG-1", "d15.data_CACCAAAAGGCTTAAA-1", "d15.data_AGAGAATAGCAACAAT-1", "d15.data_CTCACTGCAAGTGCTT-1", "d15.data_GGAGATGTCCTCGCAT-1", "d15.data_TAGGTTGTCAAAGCCT-1", "d15.data_TTGCGTCCAAGGACAC-1", "d15.data_TCAAGACTCCGGTTCT-1", "d15.data_TTCTAACCAACGCCCA-1", "d15.data_TTCTGTAGTACAAGTA-1", "d15.data_GTCTAGAAGCCTGACC-1", "d15.data_ATCACGAAGTAGGATT-1", "d15.data_CTTGATTGTGCACATT-1", "d15.data_CCTCATGCACTTGAAC-1", "d15.data_TTACGTTCAAGACCGA-1", "d15.data_GGGTGAATCCGTAGGC-1", "d15.data_GGCAGTCAGAATTCAG-1", "d15.data_TTCTAACTCTGCATAG-1", "d15.data_GTGGTTAGTGCACATT-1", "d15.data_GCGGATCTCTGAGGTT-1", "d15.data_GAGTTTGGTACACTCA-1", "d15.data_ATCGCCTTCAAATGCC-1", "d15.data_GCAGGCTTCGTGGACC-1", "d15.data_GTGTTAGAGTTGCATC-1", "d15.data_CTGCGAGTCTCGTTTA-1", "d15.data_CGATCGGAGGAAAGTG-1", "d15.data_GTGACGCTCCATGCAA-1", "d15.data_TGTTCTAAGCATAGGC-1", "d15.data_CCTCAACTCCACCTCA-1", "d15.data_AGTGATCTCGATCCCT-1", "d15.data_CGAATTGAGACTCAAA-1", "d15.data_TAACGACGTCAACCAT-1", "d15.data_CTGCATCGTACGCTAT-1", "d15.data_CATACAGGTGGGTATG-1", "d15.data_CTACTATTCTAGGCCG-1", "d15.data_GGAGGATCACACCTTC-1", "d15.data_TGCTCGTCAAGTGCTT-1", "d15.data_TGATCTTCAACCGACC-1", "d15.data_TTGTTTGCATTGCTGA-1", "d15.data_ACTCCCAAGTAGGTTA-1", "d15.data_TCGGTCTTCATGGATC-1", "d15.data_GAAACCTCAAATGGCG-1", "d15.data_ACTGTCCGTTCGATTG-1", "d15.data_TGATCTTGTCACTCGG-1", "d15.data_CACTTCGTCGACCAAT-1", "d15.data_ACAGAAAGTGACTCTA-1", "d15.data_CGTAGTACAGAACGCA-1", "d15.data_CGATCGGGTGCATGTT-1", "d15.data_AATGAAGGTCTCTCAC-1", "d15.data_ATTCTACGTGATTAGA-1", "d15.data_GTGCTGGGTGGACCTC-1", "d15.data_CGAGGCTTCTAGTACG-1", "d15.data_TTCACCGGTCATCACA-1", "d15.data_TTGCGTCAGGACCCAA-1", "d15.data_ATCACAGAGGGCATGT-1", "d15.data_TGCAGGCTCTAGTGTG-1", "d15.data_GTGCTGGTCAATCTTC-1", "d15.data_CATCGTCCAGCCTACG-1", "d15.data_AACCCAAAGAAATTCG-1", "d15.data_CCGCAAGTCGACCCAG-1", "d15.data_ACAAAGAGTGAGATCG-1", "d15.data_ATACTTCAGTCTAGAA-1", "d15.data_TTTCCTCAGGCCTGAA-1", "d15.data_CAGATACTCAGAGTTC-1", "d15.data_TTACCGCGTGGAACCA-1", "d15.data_CATTCTAGTTTGAAAG-1", "d15.data_TCATTTGGTCTTACAG-1", "d15.data_ATGTCCCTCCTTCTGG-1", "d15.data_GAAGGGTTCTTCCGTG-1", "d15.data_CAGCCAGAGTCTAGAA-1", "d15.data_ACTTTCAAGGTGGCTA-1", "d15.data_TTCCGGTCATGCGGTC-1", "d15.data_GGGCTACTCTAGTGTG-1", "d15.data_ACACGCGGTCAGGAGT-1", "d15.data_ATCCGTCCAGCGATTT-1", "d15.data_CCACCATAGCCTCTGG-1", "d15.data_TGGAACTCAAAGAGTT-1", "d15.data_CCAATGATCCGTGACG-1", "d15.data_ACTTAGGGTAGAGATT-1", "d15.data_AGACACTTCACGGAGA-1", "d15.data_ACTTTCACAGAGCTAG-1", "d15.data_AGCGTATTCCTAACAG-1", "d15.data_GAAGCGATCATTGCGA-1", "d15.data_TGGAACTTCTATCGCC-1", "d15.data_GTTGTGATCCATTCGC-1", "d15.data_CATAAGCAGGGCCTCT-1", "d15.data_GAGTGAGGTTCAAGTC-1", "d15.data_GTAATCGCAACCGATT-1", "d15.data_TCGGTCTAGTGATAAC-1", "d15.data_GCTTGGGGTGATTAGA-1", "d15.data_TTTGTTGAGAATAACC-1", "d15.data_GATCACAAGGATCATA-1", "d15.data_TACCGGGTCTAGCCAA-1", "d15.data_CACAACATCATCACAG-1", "d15.data_CTTGAGACAGGAAGTC-1", "d15.data_TTTACCATCGTAGCCG-1", "d15.data_GACAGCCAGAACTGAT-1", "d15.data_CTTCCTTCAATCCTAG-1", "d15.data_AGATCCAGTGTAGTGG-1", "d15.data_CACGTTCTCCGCACTT-1", "d15.data_CCCTCTCCATGATCTG-1", "d15.data_ACTGCAAGTTTCCCAC-1", "d15.data_CCTCAGTCAACCGGAA-1", "d15.data_ACACGCGCACACTGGC-1", "d15.data_AAGATAGGTTTCGTAG-1", "d15.data_CATACAGCAGACAATA-1", "d15.data_GGAGGATAGTATGCAA-1", "d15.data_CATGCAAGTGTAAACA-1", "d15.data_GCCAGCACAACTCATG-1", "d15.data_ACATCGATCATTGCTT-1", "d15.data_GTTGAACTCTGTCCCA-1", "d15.data_AAATGGACAGGTGACA-1", "d15.data_CATACTTCAGACCCGT-1", "d15.data_GTCTTTAAGACTACCT-1", "d15.data_CTCAATTTCATCCCGT-1", "d15.data_TAGAGTCTCAGAATAG-1", "d15.data_ATTCAGGCAAGTTCGT-1", "d15.data_AGGCATTCATCCGCGA-1", "d15.data_AGGCTGCAGCAATAGT-1", "d15.data_ACTTATCAGGTTCTAC-1", "d15.data_ACTATTCTCGGTTAGT-1", "d15.data_CAACAGTGTACTGGGA-1", "d15.data_AGGCTGCCACCATTCC-1", "d15.data_CTGCCTAGTTGCTGAT-1", "d15.data_TCCATCGCATACACCA-1", "d15.data_AGGGCCTGTATCGTAC-1", "d15.data_ATCGCCTGTCTTGCGG-1", "d15.data_GTATTTCGTGCATGAG-1", "d15.data_ATCCCTGAGCGTTCAT-1", "d15.data_TACCTCGTCCGAAGGA-1", "d15.data_TGGTACATCTACGGTA-1", "d15.data_CATTCTACATGGATCT-1", "d15.data_GGTGAAGAGTACCGGA-1", "d15.data_CAACCAAAGATTCGAA-1", "d15.data_GGAGAACAGTTGCGAG-1", "d15.data_CTCCAACGTATGGAGC-1", "d15.data_ACTGATGCACCTGAAT-1", "d15.data_ATGCCTCTCACAGAGG-1", "d15.data_CGAGTGCGTACCGCGT-1", "d15.data_ATGATCGCACTATGTG-1", "d15.data_CATACCCCATCCGATA-1", "d15.data_CCGTTCATCTCATGCC-1", "d15.data_AGACACTCAGACATCT-1", "d15.data_TGTTGGAGTTACGCCG-1", "d15.data_AGTGATCTCCTGATAG-1", "d15.data_TTGAGTGGTTACGGAG-1", "d15.data_CATGAGTCACTAGAGG-1", "d15.data_AACCAACGTGAATTAG-1", "d15.data_AGAAATGTCTTTCCAA-1", "d15.data_GTTGTGAGTCATGACT-1", "d15.data_TCAGTGACACACGTGC-1", "d15.data_CTTCTCTTCTCTGCTG-1", "d15.data_GTTGAACCAGTTGCGC-1", "d15.data_TGAGACTGTCGGCCTA-1", "d15.data_CACAGGCGTGATGGCA-1", "d15.data_GAGACCCCATGACTGT-1", "d15.data_GTAACACGTGAGAACC-1", "d15.data_CATCGCTTCCTACGAA-1", "d15.data_GTTGTCCAGACTAGAT-1", "d15.data_ACTGTCCAGCCAGAGT-1", "d15.data_CATCCCAAGGCTAACG-1", "d15.data_TACGTCCCAGTGGCTC-1", "d15.data_TCGAAGTCACGCGTCA-1", "d15.data_GGGATGAGTTGCATCA-1", "d15.data_TGACAGTAGTTCCATG-1", "d15.data_GTAACACCATTAAGCC-1", "d15.data_GAATCGTCATCCTCAC-1", "d15.data_GTATTGGCAATCAGCT-1", "d15.data_GTCCACTTCACAATGC-1", "d15.data_TTGAGTGCAGTTTGGT-1", "d15.data_GGGAGATGTTAACCTG-1", "d15.data_GAGCTGCTCATGGTAC-1", "d15.data_ACCACAATCAAGCCAT-1", "d15.data_TGCTGAAAGTCATCGT-1", "d15.data_GCTTTCGGTGGCTACC-1", "d15.data_ACTCCCACAAATCAAG-1", "d15.data_CATGGATCATGATCTG-1", "d15.data_CTTTCGGCACACGCCA-1", "d15.data_GAGGGATTCGAGCTGC-1", "d15.data_CCCTCTCGTGCCAAGA-1", "d15.data_CCTCAACGTTGCTAGT-1", "d15.data_TCCACCAGTCCCTGAG-1", "d15.data_CATTCATTCTACTATC-1", "d15.data_AAAGGGCTCGAGATGG-1", "d15.data_AGAACCTCAGCTTTCC-1", "d15.data_GTAACCATCAGCTTGA-1", "d15.data_CCTCCAATCAACGAGG-1", "d15.data_AGGTCTATCTGCTTAT-1", "d15.data_AGGGCCTCATCCTTCG-1", "d15.data_TGTAGACCACTTGTGA-1", "d15.data_GGACGTCAGGAAGAAC-1", "d15.data_TTTGATCGTACGATGG-1", "d15.data_CTCTCAGAGGTATTGA-1", "d15.data_AGGACGAAGGGAGGGT-1", "d15.data_ACAGCCGCAACCCGCA-1", "d15.data_TCACGCTAGTTCCGTA-1", "d15.data_CCGCAAGGTGGAAATT-1", "d15.data_ATCGGCGTCACTCTTA-1", "d15.data_AACGAAACAGACCAAG-1", "d15.data_GTGCTGGCACCGCTAG-1", "d15.data_TCTTTGATCGTCAACA-1", "d15.data_CGAAGGAGTTTGACAC-1", "d15.data_GATGACTCATCATCTT-1", "d15.data_CCTTTGGCAATTCTTC-1", "d15.data_GTGCTTCAGATGAATC-1", "d15.data_ATAGGCTCATGACGAG-1", "d15.data_ATGACCAGTGCTTCAA-1", "d15.data_CGGTCAGTCGAACCTA-1", "d15.data_GTCGCGAGTCAGTTTG-1", "d15.data_TTCTAGTCACCTCTAC-1", "d15.data_ACATCGAGTTGTGCAT-1", "d15.data_TCCTCCCGTAGCACGA-1", "d15.data_GTCTACCTCTTCCAGC-1", "d15.data_GACTATGGTGTTTCTT-1", "d15.data_CAAGGGAAGCAAACAT-1", "d15.data_TGAGACTTCGACCAAT-1", "d15.data_ATCCTATCAAGCAATA-1", "d15.data_GTTGTAGCACAGCCAC-1", "d15.data_ATCGGATGTTATCCAG-1", "d15.data_ATGCGATGTGCTTCAA-1", "d15.data_TACCCGTCACCCTATC-1", "d15.data_GATCGTACACTGTTCC-1", "d15.data_TGCTTCGGTTCGTTCC-1", "d15.data_GACTCAACATCAGCAT-1", "d15.data_TTCTAGTGTGGACCAA-1", "d15.data_AGATGAAAGCGAACTG-1", "d15.data_GCATCTCCAAATACAG-1", "d15.data_ACTCCCAAGGCACCAA-1", "d15.data_GGGAGTAGTGTGTCCG-1", "d15.data_GATTTCTTCATGGGAG-1", "d15.data_ATTTACCCAAACGAGC-1", "d15.data_GTAATCGTCCATAGGT-1", "d15.data_GGAAGTGGTTACGGAG-1", "d15.data_TCATTTGAGTATGCAA-1", "d15.data_ATGAGGGTCCACAGCG-1", "d15.data_GGTGTCGAGGCCTAAG-1", "d15.data_TTCCTCTGTGCATGTT-1", "d15.data_CTCCTCCTCAACCGAT-1", "d15.data_GTCGTAAAGTTATGGA-1", "d15.data_TTCCTCTCAACTGGTT-1", "d15.data_ATTATCCGTACAGCGA-1", "d15.data_TTCCTAATCCATTCGC-1", "d15.data_TACCCACCACTTGTGA-1", "d15.data_GATTGGTTCCAAGAGG-1", "d15.data_AGGACGACACTGATTG-1", "d15.data_GATTCGACAAATGGAT-1", "d15.data_TTTCATGGTATGGTTC-1", "d15.data_GAGGCCTTCTATTTCG-1", "d15.data_AGGTAGGAGACATCAA-1", "d15.data_CCTACGTTCGTCAACA-1", "d15.data_ATCATTCCAGCACAAG-1", "d15.data_TTGTGTTCAGTCAACT-1", "d15.data_GTAATCGGTTACGTAC-1", "d15.data_AGGTTACAGCTGCCAC-1", "d15.data_CATCAAGTCGGCCCAA-1", "d15.data_AATGGAACAATCGTCA-1", "d15.data_CAAAGAACAACCGTAT-1", "d15.data_TGATTTCAGAATCCCT-1", "d15.data_GATAGCTTCGTTTACT-1", "d15.data_TCGTAGATCAGCGTCG-1", "d15.data_ACTATTCGTTTCCCAC-1", "d15.data_GCGATCGTCAAGATAG-1", "d15.data_AAAGAACCACATAACC-1", "d15.data_ATAGACCGTGGCCTCA-1", "d15.data_CGCATAAGTTGGAGAC-1", "d15.data_TGATGGTTCCTACTGC-1", "d15.data_CTTTCGGGTAATTAGG-1", "d15.data_AACCTTTGTGCACGCT-1", "d15.data_TGTGATGTCCAAGCAT-1", "d15.data_TGCTGAAGTCCTGGGT-1", "d15.data_ATCCACCCAGAACTTC-1", "d15.data_AGTGATCCAGGTTCCG-1", "d15.data_CGCATGGTCTTGGGCG-1", "d15.data_GACAGCCAGATACCAA-1", "d15.data_TTCGGTCTCCTCACCA-1", "d15.data_AAGTGAAGTTTCCAAG-1", "d15.data_ACAGGGAGTCAAATCC-1", "d15.data_TGGTACAAGGCAGTCA-1", "d15.data_AGGTAGGTCCTCTAAT-1", "d15.data_GTAGCTAAGTAATTGG-1", "d15.data_ACTGTGAAGCAAGTGC-1", "d15.data_TCGGGACTCCGTCCTA-1", "d15.data_TGACCCTGTGCCGTAC-1", "d15.data_TGTGCGGCACAACGCC-1", "d15.data_AACGTCATCGTGGCGT-1", "d15.data_CTCCAACCAGAGGCTA-1", "d15.data_TATCGCCTCTCCTGAC-1", "d15.data_CCTCATGTCAGAGCAG-1", "d15.data_CCACAAAAGTTAGTGA-1", "d15.data_GTCCACTGTTTCGTGA-1", "d15.data_TGGAGAGCAAGTATCC-1", "d15.data_CGATGCGTCAGGAACG-1", "d15.data_CAGTTCCTCGCATTAG-1", "d15.data_TCTTTGATCGTAGAGG-1", "d15.data_AGAAATGAGGCTTTCA-1", "d15.data_CCTAACCAGATCCCAT-1", "d15.data_GCGGAAATCGGTGTTA-1", "d15.data_GGTGAAGCAATAGAGT-1", "d15.data_GGAACCCCATGCCATA-1", "d15.data_TGCATGAAGACGCCAA-1", "d15.data_GATCAGTAGCAGGCTA-1", "d15.data_GTAGATCTCTGGTGGC-1", "d15.data_CCTACGTCAGTTGAAA-1", "d15.data_CTCACTGCATCGGATT-1", "d15.data_ACCTACCGTATGCAAA-1", "d15.data_TTACAGGTCCGATAAC-1", "d15.data_CTCAACCTCGACCACG-1", "d15.data_GCTGAATTCTAGAACC-1", "d15.data_GAGGGATTCTACACTT-1", "d15.data_TCATTACCACCTTCCA-1", "d15.data_CGATGGCGTCAACCAT-1", "d15.data_GGGAGTATCAGATTGC-1", "d15.data_GCTCAAAGTTCGGGTC-1", "d15.data_TTACCGCCACAGGATG-1", "d15.data_TGTTGAGGTCGTTTCC-1", "d15.data_CGTTGGGTCGTAACAC-1", "d15.data_GAACACTGTGCGACAA-1", "d15.data_GTACAGTAGCCACAAG-1", "d15.data_TTGGGATAGCACAAAT-1", "d15.data_TCTTTGAAGGTCTACT-1", "d15.data_TCATTACAGACCATAA-1", "d15.data_TCCTCGAAGCAAATCA-1", "d15.data_AGGAGGTTCCCTGTTG-1", "d15.data_AACACACAGCACGATG-1", "d15.data_TTTCCTCTCAAGTCTG-1", "d15.data_GAAGTAATCACCATCC-1", "d15.data_ACGGTTAGTAATGCGG-1", "d15.data_TTAGGCAAGGTCTACT-1", "d15.data_TACTTACAGAATAGTC-1", "d15.data_AGTCTCCAGCAGCCTC-1", "d15.data_AGCATCAGTGGCTCTG-1", "d15.data_TGTGATGCACAAGCAG-1", "d15.data_CTGGCAGGTAGTATAG-1", "d15.data_TACCTCGGTTTGAACC-1", "d15.data_TTGCATTCATGGCTGC-1", "d15.data_ATTTCTGGTGCGTGCT-1", "d15.data_GTATTGGGTGCCGTAC-1", "d15.data_CCGTAGGCATGTTCGA-1", "d15.data_TTTACTGTCGTCAGAT-1", "d15.data_CTTCAATCAATTTCTC-1", "d15.data_TATCCTATCTAGTGTG-1", "d15.data_ACTTCGCAGCTAGCCC-1", "d15.data_AGGATCTAGCTTGTTG-1", "d15.data_GTGGAGACAAATGCTC-1", "d15.data_GTAGTACTCTCTCTAA-1", "d15.data_TTAGTCTGTCTGTGCG-1", "d15.data_CCATCACTCTCTGAGA-1", "d15.data_TGAGCATGTAGTATAG-1", "d15.data_TGTAGACCATTGCAAC-1", "d15.data_ATCACGACAGCTTCCT-1", "d15.data_GATTCGATCAATCAGC-1", "d15.data_TTGAACGGTATTGAGA-1", "d15.data_TCATTACAGTGGAAAG-1", "d15.data_GACTCTCCAAGACTGG-1", "d15.data_GTCTGTCGTTAACAGA-1", "d15.data_GCATCGGCAAACTGCT-1", "d15.data_CGATGCGTCTTTCCGG-1", "d15.data_ACTTCGCCATACAGCT-1", "d15.data_TTGGGTACAACTGCTA-1", "d15.data_TCATGTTCATGGCACC-1", "d15.data_GGTAACTAGTATGACA-1", "d15.data_CCCGAAGGTTAACAGA-1", "d15.data_GTCATCCCACACGCCA-1", "d15.data_GTATTGGCACTCTCGT-1", "d15.data_CTATCCGTCAGTGTCA-1", "d15.data_GTCGCGAAGCTAATGA-1", "d15.data_GGACGTCCAGGCAATG-1", "d15.data_AGGTCTAAGATGCAGC-1", "d15.data_GTTACAGGTATAGGAT-1", "d15.data_TTGGTTTTCGATACGT-1", "d15.data_ATACCGATCTCAATCT-1", "d15.data_GGAGCAACACATATGC-1", "d15.data_CGGGCATAGGACTATA-1", "d15.data_ATTTACCAGCGGTATG-1", "d15.data_CTGAATGAGTTGCTGT-1", "d15.data_TCATGTTGTTATCCAG-1", "d15.data_TCCAGAACAGTCAGCC-1", "d15.data_CCTCTAGTCATACGAC-1", "d15.data_TCGCAGGCACAAGCTT-1", "d15.data_AGGGTGAAGGTATTGA-1", "d15.data_ACATCCCGTGCAACAG-1", "d15.data_ATCACTTAGGGAACAA-1", "d15.data_TTCTAACCAAGTACCT-1", "d15.data_ATCCACCTCGTAGGAG-1", "d15.data_AACCTGAAGAGGTGCT-1", "d15.data_GTAGGAGTCCTCGCAT-1", "d15.data_TGAGGGACACGTGTGC-1", "d15.data_CTGCGAGCACTCAAGT-1", "d15.data_GCGGATCTCTCGACGG-1", "d15.data_GTGTGGCCACTCCGGA-1", "d15.data_TACCGAAAGCCTTGAT-1", "d15.data_TCCACGTAGACTAGAT-1", "d15.data_GGTTGTAGTTTAGTCG-1", "d15.data_TTACAGGCATAACTCG-1", "d15.data_ATTATCCCACTGCGTG-1", "d15.data_CGGAATTAGGGATCAC-1", "d15.data_ACACTGACAAGGCAAC-1", "d15.data_CGGAACCGTCAGACTT-1", "d15.data_GTTGTCCTCACCTGGG-1", "d15.data_CCTGCATCAACGTAAA-1", "d15.data_ATGTCCCAGGTAATCA-1", "d15.data_GAATCACGTACTGCGC-1", "d15.data_TATATCCGTTCAAAGA-1", "d15.data_CATAAGCCAAACCACT-1", "d15.data_GCACTAAAGCGTCGAA-1", "d15.data_ATGCCTCAGTACGAGC-1", "d15.data_ATGACCAGTTGTGTAC-1", "d15.data_TGGTAGTTCAAGATAG-1", "d15.data_GATTCGACACTCCACT-1", "d15.data_TCGACCTAGATCACCT-1", "d15.data_TCACGGGAGTATTGCC-1", "d15.data_CTCCACACACACGGTC-1", "d15.data_GACATCAGTTTCGACA-1", "d15.data_ATCACTTAGACAGTCG-1", "d15.data_TCATCCGGTTAAGTCC-1", "d15.data_CCTAAGATCTTCGGAA-1", "d15.data_ACTATTCTCTAGTCAG-1", "d15.data_TCCCATGTCTGCCCTA-1", "d15.data_AGTCATGCACAATGCT-1", "d15.data_CCTGTTGTCTCCAATT-1", "d15.data_GTACAGTAGGACAGTC-1", "d15.data_GCGAGAACATATGAAG-1", "d15.data_GATGATCTCCGAGATT-1", "d15.data_TTCTCTCGTCTTTCAT-1", "d15.data_GATAGAACAAACACGG-1", "d15.data_GAAGCGACATTCAGGT-1", "d15.data_TACCCGTTCGACGATT-1", "d15.data_GAATCGTTCGACCTAA-1", "d15.data_ACATGCATCCTGGGTG-1", "d15.data_CTACGGGGTGTCTTCC-1", "d15.data_AGACCCGGTGGTCCCA-1", "d15.data_CGACAGCTCTGCATGA-1", "d15.data_CTCATGCAGCAACAGC-1", "d15.data_GCACGTGCAAATCGGG-1", "d15.data_CGAGGAAGTATGCGGA-1", "d15.data_TCATACTTCCGAGGCT-1", "d15.data_CCCTCAATCGCTGTTC-1", "d15.data_CCAAGCGAGAAAGCGA-1", "d15.data_GAGGCCTCATCCTGTC-1", "d15.data_GCCAGCACACCAGTAT-1", "d15.data_ACTTTCAAGAAGCCTG-1", "d15.data_CCTCTAGGTGGTCTAT-1", "d15.data_AGGAGGTTCAGCTCTC-1", "d15.data_TGGAGAGAGGACAGTC-1", "d15.data_GCCGTGATCGGCCAAC-1", "d15.data_TGCTGAAAGACGCAGT-1", "d15.data_TGAATCGCATTGCCTC-1", "d15.data_AGCCACGTCAGACCCG-1", "d15.data_TCATGCCCACAAAGTA-1", "d15.data_TGTCCACAGCTTAGTC-1", "d15.data_CATCGGGAGAAAGTCT-1", "d15.data_CGAAGGACATTGACCA-1", "d15.data_AGCATCAAGGTACTGG-1", "d15.data_TGTGTGATCTGTCGTC-1", "d15.data_CCACGAGTCTCACCCA-1", "d15.data_GTTGCGGCAGCTATAC-1", "d15.data_ATCCACCGTAGTACGG-1", "d15.data_ACGGTTACACCGTACG-1", "d15.data_TACCCGTTCAGGCGAA-1", "d15.data_GACTGATGTAACAGTA-1", "d15.data_TTGCTGCTCTATGCCC-1", "d15.data_AAGAACAGTTGTCCCT-1", "d15.data_CAGATACCATTCCTCG-1", "d15.data_ACAGGGATCCATCTAT-1", "d15.data_ATACCTTAGTTTGCTG-1", "d15.data_GTCACGGGTCGCACGT-1", "d15.data_TTCACCGCACCGTGAC-1", "d15.data_TACCCGTGTTTAGTCG-1", "d15.data_GGCTTGGCAGTATACC-1", "d15.data_ATCGTCCTCGCTTACC-1", "d15.data_CTGCCTACACATACTG-1", "d15.data_CTTGATTAGACTACGG-1", "d15.data_TGGTTAGAGTATTGCC-1", "d15.data_CTTTCGGAGACATGCG-1", "d15.data_TAGACTGTCTAGTTCT-1", "d15.data_GACACGCTCACGATCA-1", "d15.data_TTACGCCGTCGTTATG-1", "d15.data_GATGACTTCCGAAGGA-1", "d15.data_GATGACTTCTGGGATT-1", "d15.data_GGGCTCAGTAGAATAC-1", "d15.data_ACATTTCTCATCCTGC-1", "d15.data_GTAGAAATCCGATGCG-1", "d15.data_GTGGCGTCAATGAGCG-1", "d15.data_GCCCGAAAGCATGGGT-1", "d15.data_AGGATCTAGCATTGTC-1", "d15.data_TGTTTGTCAGTGGTGA-1", "d15.data_AATGCCACAGACCAAG-1", "d15.data_CTACCTGGTTCTTAGG-1", "d15.data_TGCGGGTCAGCGTAGA-1", "d15.data_ATTTACCAGCGGACAT-1", "d15.data_ACTGATGGTTCTGACA-1", "d15.data_CGTTGGGCAGAAGCTG-1", "d15.data_GACCAATTCAGAGTGG-1", "d15.data_TCACACCAGTACAACA-1", "d15.data_CGGACACAGTCCGTCG-1", "d15.data_TCTCTGGGTTGGAGAC-1", "d15.data_GTCCTCATCAAGAATG-1", "d15.data_TCAGGGCAGGTAGCAC-1", "d15.data_TTCCTCTGTCGCAGTC-1", "d15.data_CGAGGCTAGTAGAGTT-1", "d15.data_CTCAACCCAGCCGTCA-1", "d15.data_AATGGAACACAGCCTG-1", "d15.data_CTTGATTCACGATAGG-1", "d15.data_GAGACCCGTAGACAAT-1", "d15.data_TTTGGAGGTTAAACAG-1", "d15.data_AGATAGATCGTGGCTG-1", "d15.data_CGTTCTGTCCTCTAAT-1", "d15.data_AACCAACCAGGATCTT-1", "d15.data_CTCCACATCGCGTAGC-1", "d15.data_CAGCCAGAGGTGATAT-1", "d15.data_AAGACAAAGGGCCCTT-1", "d15.data_CGCAGGTCACCCTATC-1", "d15.data_GGAATCTTCTCAACGA-1", "d15.data_TATATCCGTCTTGCGG-1", "d15.data_TTCTTGAAGATCGCCC-1", "d15.data_GGGTGAACAACACGAG-1", "d15.data_GAGTTACGTATACGGG-1", "d15.data_GTAGGAGGTTTCGTAG-1", "d15.data_CTGTATTCATGACTAC-1", "d15.data_TGCTTGCCATAACCCA-1", "d15.data_CATTCATTCAGGAAAT-1", "d15.data_CAACAGTTCGAAACAA-1", "d15.data_TACTGCCAGTTACTCG-1", "d15.data_GATGAGGTCAAGAAAC-1", "d15.data_TGTGGCGAGGTACAGC-1", "d15.data_AAAGGATGTCGTAATC-1", "d15.data_AGTGTTGAGTTAGAAC-1", "d15.data_TGATCAGTCAAAGGTA-1", "d15.data_AAGCGTTTCCCGTAAA-1", "d15.data_TATCAGGGTGACCGAA-1", "d15.data_GCACATAGTACGGCAA-1", "d15.data_CACAGGCAGGCTTCCG-1", "d15.data_TAACACGAGGCTATCT-1", "d15.data_AGGATCTAGCGAATGC-1", "d15.data_CTCGAGGTCGCAGAGA-1", "d15.data_CTGGACGGTACTCAAC-1", "d15.data_CCTTTGGCAATGTCTG-1", "d15.data_ATTCCATTCTAGTACG-1", "d15.data_ACTTTGTGTAGAATAC-1", "d15.data_TCAGTTTAGGCTAGCA-1", "d15.data_TCATTCAAGAATAGTC-1", "d15.data_CTCTCGAGTCAAAGAT-1", "d15.data_AGACAGGGTCGTACAT-1", "d15.data_TGAGCGCCACAGTCAT-1", "d15.data_GAGTCTAGTTGCCAAT-1", "d15.data_AACCATGGTCATAGTC-1", "d15.data_AGCCAGCTCGTTAGTG-1", "d15.data_GCACATATCGTCTAAG-1", "d15.data_ACGTAGTTCGACACCG-1", "d15.data_TACTTACCACAAGCAG-1", "d15.data_GCCTGTTTCCAACCGG-1", "d15.data_GAGTCATCACCACTGG-1", "d15.data_AGGTCATCAGATCCTA-1", "d15.data_GGCAGTCTCGAACCTA-1", "d15.data_TCTGGCTAGAATCGTA-1", "d15.data_CGTTCTGGTTGGTAGG-1", "d15.data_ACACCAAGTATGCTTG-1", "d15.data_ACTTATCGTTCTGACA-1", "d15.data_AACAACCCAAATGGCG-1", "d15.data_TGATTCTCACCGTGGT-1", "d15.data_CTCACTGCACTGGATT-1", "d15.data_ATTCACTTCAGCTGTA-1", "d15.data_ACGATGTCACCTGAAT-1", "d15.data_CCCTCAAAGTAGCCAG-1", "d15.data_TCCACCAAGCCAAGCA-1", "d15.data_GATCAGTTCTCCCATG-1", "d15.data_CAACCAAGTACAGAGC-1", "d15.data_GAAATGAGTCCAGCAC-1", "d15.data_AGATAGAGTAATGCTC-1", "d15.data_CGAGTTAAGAGTATAC-1", "d15.data_GCAGCTGTCTCGCAGG-1", "d15.data_CCACACTCACCCTGTT-1", "d15.data_AAACCCACACCAGTTA-1", "d15.data_ACGTACAAGGCAGGGA-1", "d15.data_ATTATCCAGTACTGTC-1", "d15.data_CAGGCCACATGACGTT-1", "d15.data_GTAGAGGCATCGAAGG-1", "d15.data_AACGTCAAGCCATTTG-1", "d15.data_GCGTTTCCACCCAATA-1", "d15.data_TGGGCTGTCCATTGTT-1", "d15.data_ATCGGATGTATCTTCT-1", "d15.data_TTGGGTACACAACGAG-1", "d15.data_TGGGAAGTCTCCGAGG-1", "d15.data_TCATCCGCACGACGCT-1", "d15.data_TTTGGAGAGATACTGA-1", "d15.data_TTCTCTCCAGCGTATT-1", "d15.data_ACAACCAAGGCCTGAA-1", "d15.data_GGCTGTGAGAGCCCAA-1", "d15.data_TTCGATTCAGTAACCT-1", "d15.data_GTCTACCCAGTTTCAG-1", "d15.data_GGAGGATTCGGTCAGC-1", "d15.data_GGGATGATCATCACTT-1", "d15.data_TCGACCTCAAATGAGT-1", "d15.data_GACAGCCCAACTCGTA-1", "d15.data_CATTGTTGTAGAGATT-1", "d15.data_TCCGAAAGTCTAATCG-1", "d15.data_CATCGGGTCACTACGA-1", "d15.data_TCATGTTTCAGTGTGT-1", "d15.data_ACTTATCAGACTGAGC-1", "d15.data_TTCAATCGTAATTGGA-1", "d15.data_GTGGGAACAGTGGTGA-1", "d15.data_ACACTGAGTAATTGGA-1", "d15.data_TATACCTGTTAACAGA-1", "d15.data_AGACCCGTCGTCTACC-1", "d15.data_TAGCACATCCTCGATC-1", "d15.data_CTGCGAGCACGCTGTG-1", "d15.data_ATCATTCAGGATACCG-1", "d15.data_TAGGTACGTACTGACT-1", "d15.data_GGGCCATTCTGAATCG-1", "d15.data_ACCAACACAGCCCACA-1", "d15.data_GTTGAACTCAGCTGAT-1", "d15.data_CACGTGGGTTCGGTAT-1", "d15.data_GACCGTGTCAGATTGC-1", "d15.data_GGAGGATCAAAGCACG-1", "d15.data_AGATCCAAGAAGGTAG-1", "d15.data_TTGACCCCATGACGTT-1", "d15.data_GAGATGGTCACCGGTG-1", "d15.data_CGGAATTCAAGTGATA-1", "d15.data_CCAATTTCACCGTACG-1", "d15.data_GTAGTACCATCCCGTT-1", "d15.data_AGCATCAGTAACGTTC-1", "d15.data_TTCCTTCGTACACGTT-1", "d15.data_CCTCATGGTATGAAGT-1", "d15.data_CAGGGCTTCGACGAGA-1", "d15.data_GAGACTTGTACTGTTG-1", "d15.data_GTAGAGGGTGCACGCT-1", "d15.data_TGAGACTTCTACCCAC-1", "d15.data_GCTCAAACAGTCGGTC-1", "d15.data_TAACACGTCGGAACTT-1", "d15.data_GTCATCCTCTTACGGA-1", "d15.data_AAACGCTCAACTCCAA-1", "d15.data_ACGTAGTCATAGAGGC-1", "d15.data_CATCCCAGTTCAAACC-1", "d15.data_CAGTTAGTCGAGCACC-1", "d15.data_CCGGACACACCTGATA-1", "d15.data_TTCAGGATCTCATTTG-1", "d15.data_CCCTCTCTCTCTCGCA-1", "d15.data_TCACGGGTCGCTACGG-1", "d15.data_GAGGCAACAGAGGACT-1", "d15.data_ACCCTTGTCGAGAATA-1", "d15.data_ATTTACCAGCACTTTG-1", "d15.data_GTCTGTCTCAGGACAG-1", "d15.data_CGGAACCAGCCTCAGC-1", "d15.data_ATGGATCAGCCATCCG-1", "d15.data_GTGAGTTTCCGGCAAC-1", "d15.data_TCCTCGATCGGCCAAC-1", "d15.data_TACACCCGTCATGCAT-1", "d15.data_AGAAGCGCAAACGAGC-1", "d15.data_GCTACCTGTTTGAAAG-1", "d15.data_AAGCCATTCTCCTGAC-1", "d15.data_ACGTAGTTCTGGGCAC-1", "d15.data_GTATTGGTCAACACCA-1", "d15.data_CTGCGAGGTTAGGCCC-1", "d15.data_ATTTACCGTGCCTTTC-1", "d15.data_GCATTAGCAAGCACAG-1", "d15.data_TAAGCCAAGCGACTTT-1", "d15.data_CACGTTCTCGGCGATC-1", "d15.data_TATCTTGTCTGTGCGG-1", "d15.data_CATTGTTTCGCCACTT-1", "d15.data_AGGTAGGTCTGGTGGC-1", "d15.data_GCAGTTAAGGGATCGT-1", "d15.data_TCGCACTGTATCCTCC-1", "d15.data_CCTCACAAGTCTGGAG-1", "d15.data_GACCTTCAGCTTCTAG-1", "d15.data_CAGTGCGTCATTTACC-1", "d15.data_TTTCCTCCACGGCCAT-1", "d15.data_ACAAAGAGTCATCTAG-1", "d15.data_TTTCGATTCCACGAAT-1", "d15.data_TTGGGTATCAGCATTG-1", "d15.data_GAGTTTGCACCGTGGT-1", "d15.data_CTCCACACACACCAGC-1", "d15.data_TTTCCTCTCTGGGAGA-1", "d15.data_GTGGCGTTCGTTTACT-1", "d15.data_GGTGTCGGTCACAGAG-1", "d15.data_TGACAGTTCCTGCCAT-1", "d15.data_TGGGCGTCAAGCGGAT-1", "d15.data_GGGACCTGTGATGAAT-1", "d15.data_CAAGGGAAGGGCTTCC-1", "d15.data_TATTCCAGTAGAGCTG-1", "d15.data_CGAAGTTCAGGTTCCG-1", "d15.data_ACTCTCGAGTCACTAC-1", "d15.data_TCTCAGCAGTGTAGAT-1", "d15.data_ACCACAAGTCTGTAAC-1", "d15.data_TGCTGAACACCGTGGT-1", "d15.data_GCCCGAACAAACCATC-1", "d15.data_GGGTCACGTGACTCGC-1", "d15.data_ACATCCCCAGACATCT-1", "d15.data_ATAGACCCACGTCTCT-1", "d15.data_CATAGACTCCTACACC-1", "d15.data_TACGGTACACACCGCA-1", "d15.data_ACTTTGTTCCCTGGTT-1", "d15.data_GCATCTCGTCCACGCA-1", "d15.data_AGAAGCGAGGTAGATT-1", "d15.data_AACAACCGTGTGAGCA-1", "d15.data_GAACGTTAGCCTCCAG-1", "d15.data_AGATCCAGTTGGTACT-1", "d15.data_TGGGAGAGTACTGTTG-1", "d15.data_TGTCAGACACTCCGAG-1", "d15.data_TTGTTCATCATGCCAA-1", "d15.data_TCACACCCAGTTAAAG-1", "d15.data_CTCTCAGTCCAGCAAT-1", "d15.data_GCGGATCAGGACAGTC-1", "d15.data_TTGGTTTAGCTGCCAC-1", "d15.data_GCTGCAGAGGCTATCT-1", "d15.data_GGTGTTACACCTGATA-1", "d15.data_ACACGCGCAAGTGATA-1", "d15.data_CATCCGTGTTCGGACC-1", "d15.data_TCACATTGTGGCTACC-1", "d15.data_GAACTGTTCGACGATT-1", "d15.data_CCCTAACTCAACGTGT-1", "d15.data_AAACCCAAGGCTCACC-1", "d15.data_ACCCTCAAGTTGTACC-1", "d15.data_TGAATGCCAAAGCACG-1", "d15.data_AGGGCCTTCTGCCTCA-1", "d15.data_AGATCGTAGATACGAT-1", "d15.data_AATCACGGTGTCTCCT-1", "d15.data_AGGTTACCACGTTGGC-1", "d15.data_TTCTAACAGGTGAGCT-1", "d15.data_ATTCACTGTCTTTCAT-1", "d15.data_CATTCATTCGACCACG-1", "d15.data_TGGTAGTTCTCTGCCA-1", "d15.data_CTGAGGCGTGTTGCCG-1", "d15.data_CGTTGGGAGCTGTCCG-1", "d15.data_TTCGGTCGTTTCCAAG-1", "d15.data_TTGACCCTCAACTACG-1", "d15.data_AACCCAATCGGCAGTC-1", "d15.data_CGCCAGATCCCAGTGG-1", "d15.data_TGACCCTAGGTCCAGA-1", "d15.data_TCGACCTGTGGTAACG-1", "d15.data_CAAGACTGTCACTGAT-1", "d15.data_TTCCTCTCACGCTTAA-1", "d15.data_GACACGCCACCTCGTT-1", "d15.data_TACTTGTGTGAGATTA-1", "d15.data_ACGTACATCCACCCTA-1", "d15.data_GCGGAAACAGGGATAC-1", "d15.data_AATCACGCATCCGGCA-1", "d15.data_ACGATGTAGCACCGAA-1", "d15.data_GTTACCCAGAAACACT-1", "d15.data_CACAGGCCAGCCATTA-1", "d15.data_TTTACGTAGACTTCCA-1", "d15.data_TGTGAGTGTCCCTCAT-1", "d15.data_TTTACCAAGTTCCAGT-1", "d15.data_ACTGTCCGTCAAAGTA-1", "d15.data_TTAGGCAGTTTGAAAG-1", "d15.data_CCGATGGCAATACGCT-1", "d15.data_ACTATTCTCTGAATCG-1", "d15.data_ATTCATCGTTCGGTTA-1", "d15.data_ATACTTCTCATTGCCC-1", "d15.data_CCCTAACGTCTGCCTT-1", "d15.data_CTCTCGAGTGCGTTTA-1", "d15.data_TAACCAGAGGTTCTAC-1", "d15.data_CTTAGGAAGTCAAGCG-1", "d15.data_AGTAGCTCATTCCTAT-1", "d15.data_AGTAGCTGTATGAAAC-1", "d15.data_GTCTCACTCCATCCGT-1", "d15.data_ACTTCCGTCTACCACC-1", "d15.data_AGGGTCCCACGCACCA-1", "d15.data_GGTGATTTCTGATGGT-1", "d15.data_TGGTGATGTAACGCGA-1", "d15.data_TTCTAACCAAGTGGAC-1", "d15.data_TTCTTCCTCCCGTTCA-1", "d15.data_CCGATGGGTCATCGGC-1", "d15.data_AGCGCTGTCCATTTGT-1", "d15.data_CAGATTGAGTAAGCAT-1", "d15.data_CTCGAGGGTTGGACCC-1", "d15.data_CGTCCATCACGTCATA-1", "d15.data_TTTACCATCCGTGTAA-1", "d15.data_GTTACCCAGACTGTTC-1", "d15.data_ATTCGTTCAGACGCTC-1", "d15.data_TCCTCTTGTTTGGCTA-1", "d15.data_CCGTTCATCTGGCTGG-1", "d15.data_AGCGATTAGTTTGAGA-1", "d15.data_TTATTGCGTTGCTCGG-1", "d15.data_GTCAAACAGAGCTGCA-1", "d15.data_AACAAGACACAGCCTG-1", "d15.data_CCGGGTAAGGCAGGGA-1", "d15.data_TCTTGCGCAACTCGAT-1", "d15.data_CTCGAGGCACGAGGAT-1", "d15.data_TCATACTAGCGGGTAT-1", "d15.data_ACCCAAAAGAATTGCA-1", "d15.data_CCTAAGATCGTAGAGG-1", "d15.data_CTCCCTCTCATTCATC-1", "d15.data_AGAACAAAGAAGCTGC-1", "d15.data_TGTGTGAAGTATAGAC-1", "d15.data_AGAAGTATCTATCCAT-1", "d15.data_TCACGCTGTAAGATAC-1", "d15.data_TACATTCTCACCGGGT-1", "d15.data_CTCATTAAGGATATAC-1", "d15.data_TTGTTTGCATGAGAAT-1", "d15.data_CTACAGACAACACACT-1", "d15.data_GCTACAATCATGAGGG-1", "d15.data_TGCACGGAGGCCTTCG-1", "d15.data_TGCGATATCAGCCCAG-1", "d15.data_CTAACTTGTTGCTTGA-1", "d15.data_ACGTACAGTGGAGAAA-1", "d15.data_GAAGCGAAGCTATCCA-1", "d15.data_GAAGCGATCGTTCATT-1", "d15.data_CTTGAGACAATAGTCC-1", "d15.data_GTCATCCTCGCGTGCA-1", "d15.data_CTCGAGGTCCTTTAGT-1", "d15.data_TACCTCGTCGTTATCT-1", "d15.data_TATACCTTCGTTAGAC-1", "d15.data_TCGGGACTCATGCCAA-1", "d15.data_GTCAAGTCAGTTTCGA-1", "d15.data_GTCTAGAGTTGCCAAT-1", "d15.data_TGACGCGAGCCTAGGA-1", "d15.data_AGACCATTCTCAACGA-1", "d15.data_ACCCTCAAGACAAGCC-1", "d15.data_ACCCAAACACTTGTGA-1", "d15.data_GTTATGGTCCATTTAC-1", "d15.data_AACGAAACACCCTAGG-1", "d15.data_GGTAATCGTTGGGTTT-1", "d15.data_CAGATACGTCAACACT-1", "d15.data_TACTTCATCCGGGACT-1", "d15.data_TACCGAAGTTTGAACC-1", "d15.data_CTCCAACCACATATCG-1", "d15.data_GAATAGAGTTCGAAGG-1", "d15.data_CATCCACGTGGCTTAT-1", "d15.data_ATCGATGCAAGTGGAC-1", "d15.data_AGATGCTTCATTGAGC-1", "d15.data_CAGATTGCAGCTGTAT-1", "d15.data_GGAGGATCAGAAATTG-1", "d15.data_AAACCCATCTAAGAAG-1", "d15.data_TCATGTTTCTCAGAAC-1", "d15.data_GGAGCAACACCAGACC-1", "d15.data_TCAGCCTCAACATACC-1", "d15.data_GTGCACGCATCATGAC-1", "d15.data_CACCAAATCCGCACTT-1", "d15.data_AAAGGGCTCGCAGTCG-1", "d15.data_TCCTTTCTCTGATGGT-1", "d15.data_ATTGGGTAGTAGGGTC-1", "d15.data_GTGCGTGAGCTCGACC-1", "d15.data_CAAAGAAGTATCACCA-1", "d15.data_GTATTTCCATCCGAAT-1", "d15.data_GTTACAGGTCTTTCTA-1", "d15.data_GCAACATAGTTGAAGT-1", "d15.data_AACGTCAAGCAGATAT-1", "d15.data_CTTCGGTTCGAACCTA-1", "d15.data_CTACCTGTCGCATGAT-1", "d15.data_GCCTGTTCAAGAGAGA-1", "d15.data_GTGCGTGCATGGGATG-1", "d15.data_CTGTACCTCTTGTTAC-1", "d15.data_CAATGACTCCCATACC-1", "d15.data_TCAGTCCGTTGATGTC-1", "d15.data_CCTCAACGTACAAACA-1", "d15.data_ACAGAAACACCACTGG-1", "d15.data_CACGTTCGTTTACTGG-1", "d15.data_CAACCTCTCCCAAGTA-1", "d15.data_TCACGGGAGGGCAAGG-1", "d15.data_TACCCGTTCACTGTCC-1", "d15.data_AGACACTAGCAACTTC-1", "d15.data_GGGTGAAAGATCCTAC-1", "d15.data_CTCAACCCATCTCGTC-1", "d15.data_CTCCTCCCACAAGCCC-1", "d15.data_GATCACACACACGCCA-1", "d15.data_TTCTAACGTACGTACT-1", "d15.data_GAATAGAGTCTTCAAG-1", "d15.data_TAGATCGGTCCGGCAT-1", "d15.data_ACTTATCCAACGATTC-1", "d15.data_TTGGGCGTCCAATGCA-1", "d15.data_GGGCTCATCACCTCTG-1", "d15.data_GCCAGGTTCAAAGCCT-1", "d15.data_TATTCCAGTCTCAGAT-1", "d15.data_GATAGCTCAGGGTCTC-1", "d15.data_AGAGAATGTACATACC-1", "d15.data_TAGACTGGTCACTCGG-1", "d15.data_AAGTGAATCGAGTACT-1", "d15.data_CATGCAATCGAGAAGC-1", "d15.data_TTCCTAACAGGGACTA-1", "d15.data_TTACCATCATAAGCGG-1", "d15.data_CACAGATGTAGCGCCT-1", "d15.data_TCGGTCTCACTCAAGT-1", "d15.data_GAAGGACGTGAGAGGG-1", "d15.data_TCTAACTGTGTGACCC-1", "d15.data_GTAGCTAGTACCGGCT-1", "d15.data_ATCACAGCAACTCGTA-1", "d15.data_ACGATCAGTCGCTTAA-1", "d15.data_TCTACATTCGCCAGTG-1", "d15.data_TTGTTCAGTCATAACC-1", "d15.data_GCCATTCGTTTCACAG-1", "d15.data_AAACGCTCACGCAAAG-1", "d15.data_ACGATCAAGCACTCGC-1", "d15.data_ACGTAGTGTGTACATC-1", "d15.data_GAGTCATCACTAGTAC-1", "d15.data_GTACAACGTACCTAAC-1", "d15.data_ACGGTTACAGCCTTCT-1", "d15.data_TCAAGACAGTCCTGCG-1", "d15.data_TAACGACCAGTCAGTT-1", "d15.data_CATTGCCGTAGGTCAG-1", "d15.data_CACAACATCCTTTGAT-1", "d15.data_TTGCCTGCAGCACGAA-1", "d15.data_GCATCTCCAGACAATA-1", "d15.data_AGAGCCCAGGTCGTAG-1", "d15.data_GTGAGCCTCTCGGTCT-1", "d15.data_TCGCACTAGCAACAAT-1", "d15.data_GCCATGGGTCGTATGT-1", "d15.data_ATTCCTAGTAGGACCA-1", "d15.data_TCCTAATAGGCCTGAA-1", "d15.data_AAGACTCCAGTGCGCT-1", "d15.data_AGTTCGATCAGAGCGA-1", "d15.data_GACGCTGTCATCGTAG-1", "d15.data_TAACGACTCACAGTGT-1", "d15.data_CTGCTCAGTCTGTCCT-1", "d15.data_GATAGAACAGGCGTTC-1", "d15.data_TCAAGACAGGTCCCGT-1", "d15.data_TCGCACTCAAGCGATG-1", "d15.data_CTTCCTTAGTCATCGT-1", "d15.data_TGATTTCGTTCCTACC-1", "d15.data_CGCCATTTCGCAGATT-1", "d15.data_GGGCTCAGTTCGAACT-1", "d15.data_ATCACAGCAAGGAGTC-1", "d15.data_CCGGTAGTCCCTTTGG-1", "d15.data_ATCACTTCAGTTCTAG-1", "d15.data_ACCACAACAAATCCCA-1", "d15.data_CACGAATCATTGCCTC-1", "d15.data_GAACGTTTCAGGAAAT-1", "d15.data_AACAAGATCCGTATGA-1", "d15.data_GAGTTACGTCCACTCT-1", "d15.data_AAGTCGTCACCGGTCA-1", "d15.data_AACAAAGTCGTGCTCT-1", "d15.data_GCTTTCGTCACTCCGT-1", "d15.data_GTCTACCAGTCGAAGC-1", "d15.data_TTCCGGTTCACCTACC-1", "d15.data_AACGAAAGTTCCTTGC-1", "d15.data_ATACCGAAGCTTCATG-1", "d15.data_CCGGACATCAGTGTTG-1", "d15.data_CTGTGGGTCATACGGT-1", "d15.data_CTACCTGTCCTAAGTG-1", "d15.data_CCGTGAGTCCGAAATC-1", "d15.data_GCTGCAGCAACCGTAT-1", "d15.data_ACTTATCCACAAGTTC-1", "d15.data_CCTGCATAGCAAACAT-1", "d15.data_AATGACCAGGCATCTT-1", "d15.data_ACTTAGGAGCCTTCTC-1", "d15.data_GCCCGAATCCACCTGT-1", "d15.data_GTCTAGACACATACTG-1", "d15.data_TCTTAGTCAGCACACC-1", "d15.data_GTCTACCCAAGCCATT-1", "d15.data_CGAGGCTCACCCTAAA-1", "d15.data_CGCGTGAAGTGCTAGG-1", "d15.data_CATGAGTAGCCAACCC-1", "d15.data_TCCTGCATCGCGTGCA-1", "d15.data_GTGCACGGTTACTCAG-1", "d15.data_ATGGATCCATACATCG-1", "d15.data_CCTCAGTCAAACCACT-1", "d15.data_CGCCATTCAGCAGATG-1", "d15.data_TTACCGCTCCATCTAT-1", "d15.data_CATACCCTCGGTCTAA-1", "d15.data_AATTCCTTCCACAGCG-1", "d15.data_TCCTTTCGTCAGACGA-1", "d15.data_ATTCCTACAGGCATTT-1", "d15.data_ATTGTTCCAACCAACT-1", "d15.data_GAGACCCCAACACTAC-1", "d15.data_CTCTCAGTCATTCCTA-1", "d15.data_AGTTAGCTCGCTCATC-1", "d15.data_CTTCCTTAGACGCCAA-1", "d15.data_AATGACCAGCCTCAAT-1", "d15.data_CTCCACAGTACCGGCT-1", "d15.data_CTAACCCAGCTGTACT-1", "d15.data_GAGTTGTCAATACAGA-1", "d15.data_GCAGGCTTCCCATGGG-1", "d15.data_TTACCGCCACAATGCT-1", "d15.data_TGCCGAGGTGGACTGA-1", "d15.data_ATTCCATGTCCTCATC-1", "d15.data_GCATCTCGTGGTCCGT-1", "d15.data_CATTGAGCAGCACGAA-1", "d15.data_CATGAGTTCTTAGCAG-1", "d15.data_CCCGGAAAGCTCCACG-1", "d15.data_GGAGGATCAAGGCGTA-1", "d15.data_CGTAATGTCCTTCAGC-1", "d15.data_CATACCCTCACACCGG-1", "d15.data_GATCATGCAATCTCTT-1", "d15.data_TGGGAGATCAGCGCAC-1", "d15.data_AGTGACTCATGAAAGT-1", "d15.data_GAGACCCTCTTGGATG-1", "d15.data_CATCCGTGTGGCCCAT-1", "d15.data_CCAAGCGAGGATACCG-1", "d15.data_CTGAATGCACCCTAGG-1", "d15.data_AACAAAGGTCATCCCT-1", "d15.data_TGTTACTCACACCTGG-1", "d15.data_CGTGAATTCCCTGGTT-1", "d15.data_ACATTTCAGTAGTCTC-1", "d15.data_CCTACGTCACGTACTA-1", "d15.data_GCCCAGACAGCTTTCC-1", "d15.data_TTAATCCTCTAGGCAT-1", "d15.data_TACACCCGTCGGAACA-1", "d15.data_TAAGCCAAGCGAATGC-1", "d15.data_GACTCAACACGGCTAC-1", "d15.data_CTGTGGGCAACCGATT-1", "d15.data_TCCTCCCGTATTGACC-1", "d15.data_GGTCACGGTATCCTTT-1", "d15.data_TCAAGACGTGAATAAC-1", "d15.data_ATGAGGGAGATGACCG-1", "d15.data_TCAGTCCGTTCTCGCT-1", "d15.data_CTCAACCGTCACTCAA-1", "d15.data_CATACCCCACCGCTGA-1", "d15.data_ATGTCTTGTAGTGATA-1", "d15.data_CATCAAGAGATACAGT-1", "d15.data_GTCATGAGTCGCCTAG-1", "d15.data_ACACAGTTCGATAACC-1", "d15.data_AGAACCTCAGAGGCAT-1", "d15.data_GCTACCTGTGGAGAAA-1", "d15.data_TTCCTTCTCAGTCAGT-1", "d15.data_TGGGAGAAGTCCCAAT-1", "d15.data_CGGAATTCACATGGTT-1", "d15.data_TCAGGGCAGGTTTGAA-1", "d15.data_GGTCACGTCTAGAACC-1", "d15.data_CCTGCATGTTACGCCG-1", "d15.data_GGTCACGAGGGCAGTT-1", "d15.data_CATCGGGCAAACAGGC-1", "d15.data_GCCTGTTTCGGATAAA-1", "d15.data_TGGGATTCAGTCACGC-1", "d15.data_CAACGGCCAACTGAAA-1", "d15.data_AGACAAAAGTCAGCCC-1", "d15.data_TCATGCCTCATAGCAC-1", "d15.data_CCATCACCACATGAAA-1", "d15.data_TCGTAGAGTCCAAAGG-1", "d15.data_CTTCCGACACCGGCTA-1", "d15.data_CTCCGATGTTGCAACT-1", "d15.data_AGACTCAGTCAACCAT-1", "d15.data_ATTCATCAGCACACCC-1", "d15.data_CAGGTATCAAGAGATT-1", "d15.data_GGACGTCCACAGAGCA-1", "d15.data_GTTGAACCACTTACAG-1", "d15.data_ACGGGTCCAGCAGAAC-1", "d15.data_ATATCCTGTGCAACGA-1", "d15.data_CGAGGCTCAGTTGTTG-1", "d15.data_TTCAATCCATTCTCCG-1", "d15.data_CCTGCATTCGCCAGTG-1", "d15.data_TCAAGACAGACCAACG-1", "d15.data_GAGTGTTCATCGTTCC-1", "d15.data_TCTTAGTCACTATCGA-1", "d15.data_CGCGTGAGTATTCCTT-1", "d15.data_AGATGCTCAAGTGCAG-1", "d15.data_CAAGAGGAGAGGGTGG-1", "d15.data_CCTCCAACAAGAGTGC-1", "d15.data_GTAGAAATCGACCACG-1", "d15.data_TCGCACTTCTAGGCCG-1", "d15.data_GGGACTCTCGACACTA-1", "d15.data_GGCGTCACACGCGTCA-1", "d15.data_CTAGACACAATTGAAG-1", "d15.data_TAGATCGCACCTCGTT-1", "d15.data_GGGACCTTCTCCAATT-1", "d15.data_AGAGCCCAGGGAGAAT-1", "d15.data_TGGTTAGGTGCGGTAA-1", "d15.data_TCTATCATCATACGAC-1", "d15.data_GACTCTCCACCCATAA-1", "d15.data_ATTACTCGTTCCTTGC-1", "d15.data_GAGTTTGCAAAGGTTA-1", "d15.data_AACCTGAAGAAGTCTA-1", "d15.data_CGCAGGTAGGTCACAG-1", "d15.data_TTGCATTCAGCATTGT-1", "d15.data_ACCGTTCTCCACTGAA-1", "d15.data_CCAATTTGTATCCCTC-1", "d15.data_AGCCAGCCACTATCCC-1", "d15.data_CATCGCTGTGAATTAG-1", "d15.data_CCTTCAGGTCTTGCTC-1", "d15.data_CATCCCACAGGCTATT-1", "d15.data_TGCTTGCGTTAAGCAA-1", "d15.data_TCCTTTCCACATTACG-1", "d15.data_CATTTCACAGGCGAAT-1", "d15.data_GAATAGAGTCGAGTGA-1", "d15.data_CAGCAGCCATCAGTGT-1", "d15.data_CAGCACGGTGGACCTC-1", "d15.data_TGGGTTAAGTGATTCC-1", "d15.data_CGCATGGTCACTGTTT-1", "d15.data_CCGTTCAGTACAGTCT-1", "d15.data_TGAATCGAGCAAGCCA-1", "d15.data_GCATCGGCAACACGTT-1", "d15.data_TCGGGCAAGCAAATCA-1", "d15.data_GTCCACTTCAGCCTTC-1", "d15.data_TAACGACTCACCGGGT-1", "d15.data_TGATCTTAGGCCACTC-1", "d15.data_TACAACGCAATTGCCA-1", "d15.data_TCAGGTACAAGGCGTA-1", "d15.data_GTAGTACCACCGTGCA-1", "d15.data_TTAGGCATCAAGAAAC-1", "d15.data_CATTCATAGCACTCTA-1", "d15.data_CTTCAATCAGAGATGC-1", "d15.data_TACCGGGGTGTGACCC-1", "d15.data_ACCTACCAGCATCTTG-1", "d15.data_TCCTGCAGTCAAAGTA-1", "d15.data_ATCTCTACACTCTAGA-1", "d15.data_CGGAACCAGGGAGTGG-1", "d15.data_AGATGAATCACTCACC-1", "d15.data_TGAGGGAAGAAGCCAC-1", "d15.data_ATCGCCTGTGTCTTCC-1", "d15.data_TTTAGTCTCCATCTAT-1", "d15.data_GGAAGTGCACTTCCTG-1", "d15.data_CTAACTTGTCGGTACC-1", "d15.data_GTGAGCCTCGCATGAT-1", "d15.data_CAAGGGACACATATGC-1", "d15.data_GATTTCTCACAGTCGC-1", "d15.data_TGCATGAGTCCACACG-1", "d15.data_TGCATCCGTACTAGCT-1", "d15.data_GACAGCCCACTCCCTA-1", "d15.data_TTACGTTTCCAGCAAT-1", "d15.data_TGCTTCGCACTGCATA-1", "d15.data_GGTGAAGCAGCGTTTA-1", "d15.data_AGGTCTATCGGCACTG-1", "d15.data_CACGGGTTCAACCTTT-1", "d15.data_CACTGTCGTTCGTTCC-1", "d15.data_ACAGCCGAGAAATTGC-1", "d15.data_CGGAACCCATCCGAAT-1", "d15.data_CCCTCAAAGACGACTG-1", "d15.data_GAGACCCTCACCTCGT-1", "d15.data_TAGCACAGTTCCGCGA-1", "d15.data_CGTTAGAAGTTCACTG-1", "d15.data_GTACAGTAGCCAAGTG-1", "d15.data_ATCCATTGTCACTCGG-1", "d15.data_CACTGTCCACACGTGC-1", "d15.data_CGTGATACACCAAATC-1", "d15.data_GTTAGACCATACCGTA-1", "d15.data_ATCACAGAGACTCGAG-1", "d15.data_ATCCCTGGTGACAGCA-1", "d15.data_TTTACGTCAATCAAGA-1", "d15.data_ACCATTTTCTGACAGT-1", "d15.data_CAGATCATCCCTGTTG-1", "d15.data_TCTATCAAGGTTCAGG-1", "d15.data_AAACGCTAGACGAGCT-1", "d15.data_CTCCTCCTCGATGCAT-1", "d15.data_CGAGTGCAGATCGACG-1", "d15.data_GGTGATTGTACTGGGA-1", "d15.data_AAGAACAAGACTACCT-1", "d15.data_CGACAGCAGCGCCCAT-1", "d15.data_CAAAGAAGTAACATAG-1", "d15.data_CACGTTCTCGTAATGC-1", "d15.data_ACACGCGCATCTATCT-1", "d15.data_TACATTCTCACCTACC-1", "d15.data_CCAATGATCCGACGGT-1", "d15.data_AACCCAACATCGTCCT-1", "d15.data_TTCAATCCAGGTCAGA-1", "d15.data_CTGCCATCAGCATTGT-1", "d15.data_TCATATCCACAACGTT-1", "d15.data_ATCCATTCAAAGCACG-1", "d15.data_CTCCATGCAATCGCCG-1", "d15.data_ATGAAAGTCCTCACTG-1", "d15.data_GTCATGACAGCGGTTC-1", "d15.data_CCGTAGGCAGCAGACA-1", "d15.data_AAAGGATCACACGCCA-1", "d15.data_TGGTACAGTGAACTAA-1", "d15.data_TTGGGATCATGCGGTC-1", "d15.data_TCATATCCAGCAAGAC-1", "d15.data_CCGTTCACAGTCTCTC-1", "d15.data_ATGCCTCCAATCGCAT-1", "d15.data_GGGTGTCTCGTAACTG-1", "d15.data_CTACATTTCTTCGGAA-1", "d15.data_TATATCCTCGAACACT-1", "d15.data_TACACCCAGCTATCTG-1", "d15.data_CACGAATTCACGACTA-1", "d15.data_AAACGCTTCTGCAGCG-1", "d15.data_AGCTCAACACAAAGCG-1", "d15.data_AACAACCTCTACCCAC-1", "d15.data_ACCAAACAGTCATGCT-1", "d15.data_AGTACCACACAATCTG-1", "d15.data_TACGTCCGTAACGGTG-1", "d15.data_AAGAACAGTGCTGCAC-1", "d15.data_CGAATTGCAAGAGAGA-1", "d15.data_TAAGCGTAGCCACCGT-1", "d15.data_CAGCCAGCAATACCTG-1", "d15.data_AAACCCATCGATCCCT-1", "d15.data_ATTCAGGCAGAGTTCT-1", "d15.data_TCTCACGTCCCTTCCC-1", "d15.data_CTGCATCTCCTACGAA-1", "d15.data_CAACAGTGTGATTAGA-1", "d15.data_CAATTTCTCTGTCCGT-1", "d15.data_TAATCTCCAATGCTCA-1", "d15.data_GGGACAATCCCGTGAG-1", "d15.data_ACTTATCAGAGCTGAC-1", "d15.data_TGGTGATGTAGACTGG-1", "d15.data_TCATGCCCACCTGCTT-1", "d15.data_CGTGCTTAGTTTCGAC-1", "d15.data_AAATGGAGTTCCGTTC-1", "d15.data_ATGGGAGTCTGGACTA-1", "d15.data_CTCCAACGTAAGTTAG-1", "d15.data_GATTCGATCCCGAAAT-1", "d15.data_ACGTAGTCACCGTGGT-1", "d15.data_TCCTGCATCCTCATAT-1", "d15.data_AGTTCCCCAGGCACTC-1", "d15.data_TCAATTCTCATCTACT-1", "d15.data_ACAGCCGAGCAATTCC-1", "d15.data_TTCAGGACAGTCAGCC-1", "d15.data_AGACCATTCAGCTGAT-1", "d15.data_TCCTGCACACCGTACG-1", "d15.data_ACGGTCGAGTCACAGG-1", "d15.data_GATGGAGCAATACCTG-1", "d15.data_TGACGCGAGAATTCAG-1", "d15.data_TTACCGCTCTCCTGCA-1", "d15.data_GGTCACGCAAGTGGCA-1", "d15.data_TGTTACTAGCGCCTCA-1", "d15.data_GAGGCCTGTCGCATTA-1", "d15.data_AACCTTTTCGGCTGAC-1", "d15.data_GGTCACGTCACATACG-1", "d15.data_TCCTAATTCTGGCCAG-1", "d15.data_AACCACAGTAGTCCTA-1", "d15.data_AATTTCCTCGTTCCTG-1", "d15.data_TGGAACTCAAACCATC-1", "d15.data_GGTGTCGCACGGATCC-1", "d15.data_GAAGGGTTCAGCACCG-1", "d15.data_ATCGTGACACTACGGC-1", "d15.data_CTGCGAGTCGGATTAC-1", "d15.data_TCTCAGCTCCGTCACT-1", "d15.data_TACCGAAAGCGCCTAC-1", "d15.data_TCAGTGAGTCACTTAG-1", "d15.data_AACAACCAGACAGCTG-1", "d15.data_TACCCACCATTCAGCA-1", "d15.data_TGGGAAGTCTAACGGT-1", "d15.data_TCTAACTTCTGACCCT-1", "d15.data_GCCAGTGCAGAATGTA-1", "d15.data_GAGGGATAGCGAAACC-1", "d15.data_AGGTAGGGTCGGCTAC-1", "d15.data_CGCCATTTCTCACTCG-1", "d15.data_AGTCATGAGTAACGTA-1", "d15.data_TCACGCTTCACTGTCC-1", "d15.data_TTAGGGTCATCGTTCC-1", "d15.data_ACATCGACACAAGCCC-1", "d15.data_CCGGGTATCATACGAC-1", "d15.data_TGCTCCACAAACTAGA-1", "d15.data_AACAAGACAACAACAA-1", "d15.data_TCAAGACTCAAACCTG-1", "d15.data_TTCAGGAAGTTACGTC-1", "d15.data_GTGTCCTAGGGAACAA-1", "d15.data_GTAGTACAGGAATTAC-1", "d15.data_GGGAGTACATGGCGCT-1", "d15.data_CATGAGTTCCTTCACG-1", "d15.data_TTCCTAAGTTGTCAGT-1", "d15.data_TGGAACTGTTTGCAGT-1", "d15.data_TTCACGCGTTCGATTG-1", "d15.data_CAGATTGCACGGTGTC-1", "d15.data_CAACCAAAGTGACCTT-1", "d15.data_TTTATGCTCCAACCAA-1", "d15.data_TGATCAGTCCTACGGG-1", "d15.data_AGAAGTATCTGCGGCA-1", "d15.data_TCTACATAGGCCTAGA-1", "d15.data_GATGAGGGTAACATAG-1", "d15.data_CCTACGTTCTAAACGC-1", "d15.data_CATAGACTCAATCAGC-1", "d15.data_ACCATTTTCCTTTGAT-1", "d15.data_ACGATCATCGTTCATT-1", "d15.data_TCCATGCTCTTGGGCG-1", "d15.data_TGATTTCTCATTCCTA-1", "d15.data_CCAATGAGTTTCCAAG-1", "d15.data_TATCCTACACCGTCGA-1", "d15.data_TACGCTCGTCACCGAC-1", "d15.data_AGGGCTCGTAGCCCTG-1", "d15.data_GATCCCTTCGTGCACG-1", "d15.data_AGTTAGCAGCGGATCA-1", "d15.data_CAGATACTCGAACGCC-1", "d15.data_GTGGAAGGTACCTTCC-1", "d15.data_AACAAGAAGGTTCACT-1", "d15.data_TGTAGACGTATTTCCT-1", "d15.data_GTCTTTAGTAGCGTAG-1", "d15.data_TACAACGGTCGTTGCG-1", "d15.data_ATCTTCACATGCAGGA-1", "d15.data_TTCCTCTGTGCTGATT-1", "d15.data_TGAGCGCCAGTAACCT-1", "d15.data_CACGTTCGTGCTTATG-1", "d15.data_GGGTATTGTGTCGATT-1", "d15.data_ATCCCTGGTATCCCTC-1", "d15.data_AATGCCAGTATTGACC-1", "d15.data_CGTTAGAAGTCGCTAT-1", "d15.data_ACCCTCAGTTACCGTA-1", "d15.data_GTGTAACAGATGAAGG-1", "d15.data_GAAGTAAAGTATAGAC-1", "d15.data_TGATGCAGTCGGTGAA-1", "d15.data_TAGGGTTTCTCGCAGG-1", "d15.data_TTCTTGATCGAGTCCG-1", "d15.data_GGTTGTAGTCTGATAC-1", "d15.data_CCGATCTCACATATCG-1", "d15.data_CATACTTAGTAGTCAA-1", "d15.data_TTTACGTAGAAGTCTA-1", "d15.data_GATCAGTTCTTTGCAT-1", "d15.data_CTCAGTCGTTGCGAAG-1", "d15.data_ACTTTGTGTAACGCGA-1", "d15.data_TCCATGCAGAAGCTGC-1", "d15.data_CCCGAAGCACCACATA-1", "d15.data_TCAAGACAGCCTGACC-1", "d15.data_GTCTAGAGTGCATGAG-1", "d15.data_CATTTCATCCAAACCA-1", "d15.data_CATTCTAAGAAGCGGG-1", "d15.data_AGACCATCATCTCCCA-1", "d15.data_TGTGAGTAGTATGGCG-1", "d15.data_AAGTTCGAGCTCATAC-1", "d15.data_TTTGTTGAGGGCAGAG-1", "d15.data_CGAAGGATCGTCTCAC-1", "d15.data_CCAATTTGTAAGCAAT-1", "d15.data_TTACCATCATTGCAAC-1", "d15.data_CGAAGGACATCTGGGC-1", "d15.data_TGGAGAGAGCCACAAG-1", "d15.data_GAGTTGTGTCACCGCA-1", "d15.data_AAGCGAGGTACCTAAC-1", "d15.data_GGGTCACGTATGTCAC-1", "d15.data_GAGTGTTTCTCTCGAC-1", "d15.data_CTTACCGCAGACTCTA-1", "d15.data_CAGCACGGTCCTACGG-1", "d15.data_CTACGGGAGACATAGT-1", "d15.data_TTTCATGGTAGAAACT-1", "d15.data_ATTCATCCATACTTTC-1", "d15.data_CATTGTTCACGTGAGA-1", "d15.data_TCTATCAAGCGTGAGT-1", "d15.data_TCATGTTAGTCTTCCC-1", "d15.data_CTAGGTATCTGCTTTA-1", "d15.data_AGGGTGAGTAGGCTGA-1", "d15.data_ACTCTCGTCCGACATA-1", "d15.data_TCTACATGTCCTTAAG-1", "d15.data_GTGGAAGGTTTCCAAG-1", "d15.data_TAGGTTGTCCGATAAC-1", "d15.data_AGCTCAAGTTACCTGA-1", "d15.data_CATCGTCCATCGAACT-1", "d15.data_GCTCAAAAGCCGGATA-1", "d15.data_AGTGCCGCACCTCTAC-1", "d15.data_GAATAGAAGTCCTGTA-1", "d15.data_TCCATCGTCAGGACGA-1", "d15.data_AGGTCATCAGCAGGAT-1", "d15.data_TCCTCGATCGACCCAG-1", "d15.data_TAACTTCGTCCTGAAT-1", "d15.data_ACCATTTCATACTTTC-1", "d15.data_ATGTCCCAGATTTGCC-1", "d15.data_GTTGTAGCACACAGCC-1", "d15.data_CACATGACATCCAACA-1", "d15.data_CGAATTGTCCACACCT-1", "d15.data_TGGAGAGAGATGCAGC-1", "d15.data_ATCATTCTCGGCCAAC-1", "d15.data_TGTTCCGGTCTACGTA-1", "d15.data_TCACGCTTCACACCCT-1", "d15.data_TGATCAGAGGTCCGAA-1", "d15.data_AATGAAGCAATGTTGC-1", "d15.data_CTGCATCCAGATCCAT-1", "d15.data_GCATCTCGTTCATCTT-1", "d15.data_CATGCGGGTATGGGAC-1", "d15.data_TGACCCTAGCAGGCTA-1", "d15.data_TCAATTCGTATTGACC-1", "d15.data_TCTTTGAGTATAGGGC-1", "d15.data_GTAGAAAAGCCGATTT-1", "d15.data_TCAGCAACAGGATTCT-1", "d15.data_TCCATGCAGTTCCGGC-1", "d15.data_CCCTCAATCGAACTCA-1", "d15.data_ACAGCCGGTGTCCGTG-1", "d15.data_GGATGTTAGAAACTGT-1", "d15.data_TAAGTCGAGTGGTTCT-1", "d15.data_CTCAAGAAGCACACAG-1", "d15.data_GGGATCCAGGACTATA-1", "d15.data_CAGCAATCAGGCTACC-1", "d15.data_AACCTTTCACAGTGAG-1", "d15.data_TACCTCGTCTGAGCAT-1", "d15.data_GTGGGAACATACAGCT-1", "d15.data_TGTGAGTTCGAACGCC-1", "d15.data_TATCAGGCATTCTGTT-1", "d15.data_TCACACCTCAACTGGT-1", "d15.data_TATCCTACATCCGCGA-1", "d15.data_TGCACGGGTTTCGTAG-1", "d15.data_CACGTTCCAGACAATA-1", "d15.data_AAGCCATAGCTTTCTT-1", "d15.data_ACTCCCATCATGTCAG-1", "d15.data_GCACGTGCATCCTTGC-1", "d15.data_TGAGGTTCAGCTAACT-1", "d15.data_CCGATGGCACCGTGCA-1", "d15.data_GGCGTCAGTGGTAATA-1", "d15.data_CCGCAAGTCAGCCTTC-1", "d15.data_CCGGACATCAGACCTA-1", "d15.data_AGAGCCCCAGACTGCC-1", "d15.data_GGGAGATGTTCCCACT-1", "d15.data_ATTTACCGTAGACAGC-1", "d15.data_TGCAGATTCCATTGTT-1", "d15.data_TGTGAGTTCAGTCACA-1", "d15.data_ATCCTATTCCTTCACG-1", "d15.data_CTCATGCTCTATCGTT-1", "d15.data_TCTTGCGAGCAACAGC-1", "d15.data_GGAACCCTCCAAACCA-1", "d15.data_TCTGGCTCAGCGTACC-1", "d15.data_CAACAGTCAGTCTGGC-1", "d15.data_TCACTATTCAGTCTTT-1", "d2b.data_CAAGCTACAAACTAAG-1", "d2b.data_CGCATAATCTGGAAGG-1", "d2b.data_TATTGCTAGTAGCAAT-1", "d2b.data_TTCGATTTCGGAAACG-1", "d2b.data_TAAGCGTTCGTGCAGC-1", "d2b.data_TACTGCCAGATCCTAC-1", "d2b.data_CGTGTCTAGCACCGTC-1", "d2b.data_CCTTGTGAGAAGGTAG-1", "d2b.data_GGTTCTCAGCTTGTTG-1", "d2b.data_GTACAACAGTTCGGTT-1", "d2b.data_ATCCGTCGTGTGACCC-1", "d2b.data_TTGTTTGTCTTCTTCC-1", "d2b.data_GTGAGTTTCGCAATGT-1", "d2b.data_GGCAGTCAGGTCTGGA-1", "d2b.data_TACAGGTAGCCTCGTG-1", "d2b.data_GTCGTTCAGCACCGAA-1", "d2b.data_TGAGCGCGTCTGTGTA-1", "d2b.data_CACCAAAGTCGCTTGG-1", "d2b.data_GTCGTTCTCTACTCAT-1", "d2b.data_TGACTCCCATGGCCCA-1", "d2b.data_TGACGCGTCGGCTGGT-1", "d2b.data_GTTCATTAGATCGCCC-1", "d2b.data_GTCGTTCGTGTCCATA-1", "d2b.data_AAGTGAACAAGACTGG-1", "d2b.data_CGATCGGAGCCGTCGT-1", "d2b.data_TCTATCAAGTCGTCTA-1", "d2b.data_TCGAAGTCACTAGGTT-1", "d2b.data_ATTGGGTGTGTTACAC-1", "d2b.data_GGGTAGAGTCGTCATA-1", "d2b.data_CTCTCAGGTCTTTCAT-1", "d2b.data_TACTTGTTCGTTGTGA-1", "d2b.data_CCCGAAGCAACAGAGC-1", "d2b.data_GATGGAGCAGAGTCTT-1", "d2b.data_GGGTATTCACAGACGA-1", "d2b.data_CCTGTTGGTAAGTCAA-1", "d2b.data_TGAATGCCAGCAATTC-1", "d2b.data_GAATAGAGTGTTAAAG-1", "d2b.data_TGATCTTTCCCTGGTT-1", "d2b.data_AAGACTCGTGCTCGTG-1", "d2b.data_CTATCTAAGGAAAGGT-1", "d2b.data_AGGTCTATCCGTTGAA-1", "d2b.data_GTTCGCTGTAATGATG-1", "d2b.data_AAGCCATTCGAATCCA-1", "d2b.data_CTCATTAGTCTACATG-1", "d2b.data_TACCTGCAGTCTGCGC-1", "d2b.data_CTTCCTTGTGTCATGT-1", "d2b.data_GGGACTCGTGCAACGA-1", "d2b.data_CCGTAGGAGGCTAAAT-1", "d2b.data_TCGTGCTTCAGTGTCA-1", "d2b.data_TGTTCCGAGCGATCGA-1", "d2b.data_GACTCAAAGGATGTTA-1", "d2b.data_TCGTAGAGTTCTGACA-1", "d2b.data_TAACTTCTCGGAGATG-1", "d2b.data_CATTCCGGTAGCACGA-1", "d2b.data_TGCTCCACAAGCGGAT-1", "d2b.data_TGTTCATCAACGGTAG-1", "d2b.data_CTCAGTCAGCTCGAAG-1", "d2b.data_GAAGGACTCAAGAGGC-1", "d2b.data_TTCGCTGAGGGCAAGG-1", "d2b.data_TAGTGCAAGTGGTGAC-1", "d2b.data_ATGGATCGTGTGCCTG-1", "d2b.data_GTTACGATCGTAACTG-1", "d2b.data_ACTCTCGGTCCGGTGT-1", "d2b.data_GGGTCTGAGCGAACTG-1", "d2b.data_GGGAGATCAGAAGTGC-1", "d2b.data_TCCTAATAGCGTCGAA-1", "d2b.data_TCGTCCATCACTGAAC-1", "d2b.data_ATCCCTGGTCTAACTG-1", "d2b.data_TCGTAGAAGATTAGTG-1", "d2b.data_GTTAGTGTCTGAATGC-1", "d2b.data_TTCCTTCTCAGAGTGG-1", "d2b.data_TGCAGATCACAACGAG-1", "d2b.data_ACACTGATCGACATTG-1", "d2b.data_CTATAGGTCTGAGTCA-1", "d2b.data_GGTAATCGTCGCGTCA-1", "d2b.data_TGCGGCAGTTGCTAGT-1", "d2b.data_CACAGGCCACTGCATA-1", "d2b.data_ATCGGCGGTAACAGGC-1", "d2b.data_TCAAGTGAGTAGCCAG-1", "d2b.data_CGACAGCTCTCGCTCA-1", "d2b.data_AGCTTCCCAACAGAGC-1", "d2b.data_ATTCCATCATGGAAGC-1", "d2b.data_AGGATAAGTCTTCCGT-1", "d2b.data_GATTGGTCAAGTGGAC-1", "d2b.data_CGAGGCTGTAACATCC-1", "d2b.data_CAGCAATGTCAAGCCC-1", "d2b.data_AGACCATCAAGGGCAT-1", "d2b.data_TGCTTGCAGTCCTGCG-1", "d2b.data_CGTGCTTAGAGTAACT-1", "d2b.data_GTTCTATTCGTGGCGT-1", "d2b.data_TGAGCATGTTTGAACC-1", "d2b.data_TGAATCGAGACCAACG-1", "d2b.data_AATCGTGGTACGCTTA-1", "d2b.data_CACAGGCAGGTCACCC-1", "d2b.data_GTGTAACCACTCCACT-1", "d2b.data_TTTGGTTAGCGGGTAT-1", "d2b.data_AAGCGTTAGGCATCAG-1", "d2b.data_GCCAACGCAGAGAGGG-1", "d2b.data_TCACAAGTCTCTGCCA-1", "d2b.data_ACTTAGGGTGGATCGA-1", "d2b.data_CAGCACGAGGTTATAG-1", "d2b.data_CTGTGGGTCGCTGTCT-1", "d2b.data_GATTCGATCGGCTATA-1", "d2b.data_TAGCACACATGCAGCC-1", "d2b.data_AGTTCGAGTGTCCACG-1", "d2b.data_GTATTTCGTCAAAGTA-1", "d2b.data_TGCTCGTCAAGGTCTT-1", "d2b.data_AAGACTCGTTCGTACA-1", "d2b.data_ACCGTTCCAGACTGCC-1", "d2b.data_AAACGCTAGGAACTCG-1", "d2b.data_TCCCATGCACGTACAT-1", "d2b.data_ATTTCACAGGTCGCCT-1", "d2b.data_GTTGAACCAATCTCTT-1", "d2b.data_GAGGCCTCAGCTCGGT-1", "d2b.data_ATTCCATTCGTGGGTC-1", "d2b.data_TCCATCGAGTGCGACA-1", "d2b.data_AAGGAATTCCATCTGC-1", "d2b.data_GTCAAGTTCTCTATAC-1", "d2b.data_GTGGTTAAGCAAGCCA-1", "d2b.data_GGATGTTCACTGCGAC-1", "d2b.data_GTGGCGTAGGGTACAC-1", "d2b.data_GATCACAGTGGACCTC-1", "d2b.data_GAGTGTTTCCAATCCC-1", "d2b.data_GTATTTCTCCTTCTAA-1", "d2b.data_AGAACAAGTAGGAGTC-1", "d2b.data_CAGATTGGTTCCAGGC-1", "d2b.data_AGAGCCCTCGGATTAC-1", "d2b.data_TCAAGTGAGGTGCGAT-1", "d2b.data_GAAATGATCGAAGCCC-1", "d2b.data_GATTTCTTCAAATGAG-1", "d2b.data_CACGGGTTCGATACTG-1", "d2b.data_AAAGGTAGTAGGGTAC-1", "d2b.data_CTTCGGTCAACTCCCT-1", "d2b.data_ATAGAGATCAAACGAA-1", "d2b.data_GCATTAGCATGTCAGT-1", "d2b.data_GTGCGTGTCCTGGGAC-1", "d2b.data_GTGGAGAAGGAAGAAC-1", "d2b.data_CGCGTGAAGAGTGTTA-1", "d2b.data_CCGGTGAGTAACAGTA-1", "d2b.data_AAGTTCGAGGTTGCCC-1", "d2b.data_CTAGACAGTGGAACCA-1", "d2b.data_ATCACGAGTTCGTTCC-1", "d2b.data_CGGGTCAGTAGAGATT-1", "d2b.data_TTTGTTGAGGAAAGTG-1", "d2b.data_GTGTAACGTAAGTAGT-1", "d2b.data_AACAAAGTCTGTCCGT-1", "d2b.data_TTTGTTGAGGGAGTTC-1", "d2b.data_AAAGGATCACTAACGT-1", "d2b.data_TGTTCTAGTGCATTTG-1", "d2b.data_GTCTTTAAGATCGACG-1", "d2b.data_GCTACAAGTAGGTACG-1", "d2b.data_ATTTCTGAGGCGTTGA-1", "d2b.data_GTCCTCAGTCAGGCAA-1", "d2b.data_GTGCTGGGTCATCACA-1", "d2b.data_AATCACGAGCCTGACC-1", "d2b.data_CTACGGGCACACCAGC-1", "d2b.data_CCGAACGTCGAGCCTG-1", "d2b.data_CAATACGGTGTATCCA-1", "d2b.data_GAAGCGAAGAATCCCT-1", "d2b.data_TTCTTGAAGGCCATAG-1", "d2b.data_TCTATCAGTGGCAGAT-1", "d2b.data_TCATTGTAGGGACCAT-1", "d2b.data_ATTCCCGAGATGACCG-1", "d2b.data_GAAGAATGTCGATTTG-1", "d2b.data_ATCGGATAGTCGTCTA-1", "d2b.data_TGCGGCAAGCATGGGT-1", "d2b.data_TCTTTGACAGACATCT-1", "d2b.data_AGCGATTGTCACTTAG-1", "d2b.data_ACTGTCCGTCAACGCC-1", "d2b.data_CGTGAATCATCCGATA-1", "d2b.data_GCGATCGGTCTCACAA-1", "d2b.data_CGAATTGCATTCATCT-1", "d2b.data_TCAAGCAGTTTCGGCG-1", "d2b.data_GCCAGTGAGAGGCTGT-1", "d2b.data_GATGATCTCAGTCAGT-1", "d2b.data_TTTGATCCAATGAGCG-1", "d2b.data_CAACCTCGTCTACAAC-1", "d2b.data_TGACAGTTCCCATTCG-1", "d2b.data_GCCGTGAGTGACTCGC-1", "d2b.data_CGGGCATCACTCTCGT-1", "d2b.data_CAGGGCTGTAGTAAGT-1", "d2b.data_TCAATCTGTCGTAATC-1", "d2b.data_CGTTAGATCATGCCAA-1", "d2b.data_CTGCGAGGTACTCAAC-1", "d2b.data_GGAACCCGTCGGTACC-1", "d2b.data_CTTGAGAAGCCTCTTC-1", "d2b.data_AGTAGTCGTACTTGTG-1", "d2b.data_CTAGACAAGATGCTGG-1", "d2b.data_AACAGGGAGGTAGGCT-1", "d2b.data_TCAAGTGTCGCGTGCA-1", "d2b.data_TCTCTGGGTTATAGAG-1", "d2b.data_GGTTGTAAGCAGGTCA-1", "d2b.data_CCGTTCAGTTCAGCGC-1", "d2b.data_GGTTGTATCCTTCTGG-1", "d2b.data_TGACGCGGTTCAAAGA-1", "d2b.data_TACCGGGGTGATAGAT-1", "d2b.data_ACGTAGTGTAGATTGA-1", "d2b.data_GAAGGGTTCAGGGATG-1", "d2b.data_TCCTTTCAGGAGAATG-1", "d2b.data_TCCGATCGTGGCGTAA-1", "d2b.data_CGATGGCGTAGTACGG-1", "d2b.data_TTCCGGTCAAGAGCTG-1", "d2b.data_TAGACTGAGCTTCATG-1", "d2b.data_GGTTAACCAGTACTAC-1", "d2b.data_AAAGTGATCGCTATTT-1", "d2b.data_TCATGCCGTGCGAGTA-1", "d2b.data_GAATCGTGTCTTCATT-1", "d2b.data_ATGATCGTCCCATAGA-1", "d2b.data_CACAACACACCCGTAG-1", "d2b.data_GATCATGCACTGGACC-1", "d2b.data_TCTACCGAGCCGCTTG-1", "d2b.data_TTCGGTCGTCTGCGCA-1", "d2b.data_CCGGTAGAGGCTGTAG-1", "d2b.data_GCCAGGTCAACGGCTC-1", "d2b.data_AACACACCAATTGCGT-1", "d2b.data_TGGGCTGTCTGCGATA-1", "d2b.data_GGATCTAGTGTACGCC-1", "d2b.data_TCTATACGTGTTAGCT-1", "d2b.data_CTCATCGCATTGGATC-1", "d2b.data_GGAGATGTCAACTTTC-1", "d2b.data_TTTCACAAGGAAAGAC-1", "d2b.data_CACGAATTCGAAGAAT-1", "d2b.data_AGGTTGTGTTCGAAGG-1", "d2b.data_AGTAGCTGTAGGATAT-1", "d2b.data_GGAGAACTCGTTGCCT-1", "d2b.data_GGGCCATTCTTGTGCC-1", "d2b.data_TACTTGTTCGGAAGGT-1", "d2b.data_CGTGCTTTCAACCTCC-1", "d2b.data_CCGGGTAAGCCTCTGG-1", "d2b.data_ACACCAAGTCTTGAGT-1", "d2b.data_TGTGCGGGTGTCCAAT-1", "d2b.data_TGGAACTCAGACAAGC-1", "d2b.data_AGACTCATCTCTCGAC-1", "d2b.data_TTCCTCTGTAGATCGG-1", "d2b.data_GCGATCGGTTATGGTC-1", "d2b.data_AGACAAATCTCACGAA-1", "d2b.data_ATCATTCGTGTGTTTG-1", "d2b.data_CGTGTCTCAGACCATT-1", "d2b.data_AGACACTAGGCGATAC-1", "d2b.data_ATTCGTTGTTTGTGGT-1", "d2b.data_ATCGTAGGTGGAAATT-1", "d2b.data_CAGCGTGTCGGCTATA-1", "d2b.data_AAGTTCGCAAGAATGT-1", "d2b.data_TAGACCAAGAAGGCTC-1", "d2b.data_GTCACTCAGCAATTAG-1", "d2b.data_GAAACCTGTTGCTCGG-1", "d2b.data_CCTGTTGGTCCACTTC-1", "d2b.data_AGCGTATAGCACGGAT-1", "d2b.data_CAACGATAGAGCCGAT-1", "d2b.data_TTCTAGTAGTGAGGTC-1", "d2b.data_TGTAGACGTAGTCTGT-1", "d2b.data_CATCCACCAGCCGTTG-1", "d2b.data_TCCCATGAGGTTAGTA-1", "d2b.data_GAGGCCTTCGAACCAT-1", "d2b.data_GAATAGACACGGTGTC-1", "d2b.data_CACAGGCGTCGCCTAG-1", "d2b.data_ATGGGTTTCACCTACC-1", "d2b.data_ATCGCCTTCATGAGGG-1", "d2b.data_CATGCAAAGGTAGCAC-1", "d2b.data_CTTCTCTTCTTAATCC-1", "d2b.data_GATGTTGAGGGAGTGG-1", "d2b.data_TCATGTTCACGGGTAA-1", "d2b.data_TCATTCACAAGAATGT-1", "d2b.data_TATCCTATCTTTCAGT-1", "d2b.data_TTCTAACTCCAGCAAT-1", "d2b.data_CCTGCATTCCTTCTAA-1", "d2b.data_TTCCGGTTCACTTATC-1", "d2b.data_ATCCGTCGTAACATGA-1", "d2b.data_TGAGGGATCACTTATC-1", "d2b.data_GAAACCTGTCGTGTTA-1", "d2b.data_TGTGTGAAGGCATCTT-1", "d2b.data_AGGAGGTCACTTCATT-1", "d2b.data_ACCATTTTCTTCCTAA-1", "d2b.data_CTCCTTTTCAAGGTGG-1", "d2b.data_ATGAGGGCAAGAGGTC-1", "d2b.data_TCTCACGAGACAGCTG-1", "d2b.data_TTGTTTGGTGGGCTTC-1", "d2b.data_CGAGAAGAGCATCAGG-1", "d2b.data_CGTAAGTTCGTAGCCG-1", "d2b.data_AATGAAGCACATCATG-1", "d2b.data_CGAGGCTAGAAATTCG-1", "d2b.data_GAATCGTCAGGCGTTC-1", "d2b.data_CCCAACTAGGAGAGGC-1", "d2b.data_GATCGTACACCATATG-1", "d2b.data_GCAGGCTAGTAGGAAG-1", "d2b.data_GCAGGCTGTATGAAGT-1", "d2b.data_CATCAAGAGCACCGAA-1", "d2b.data_CATGGATCAGATTTCG-1", "d2b.data_ACGGGTCGTCACCTTC-1", "d2b.data_ACTGTCCTCCATTTGT-1", "d2b.data_GGTGTTATCCGCTTAC-1", "d2b.data_ATGCCTCGTGTTGATC-1", "d2b.data_ACCCTCATCTGCAGCG-1", "d2b.data_CTAAGTGCAACAAGTA-1", "d2b.data_GTGTTCCTCTACCACC-1", "d2b.data_GAGTGAGCATGACGGA-1", "d2b.data_CGTCAAAAGCGACATG-1", "d2b.data_ACACGCGGTTGTAAAG-1", "d2b.data_GGGACTCGTATGACAA-1", "d2b.data_TCATTTGGTTGCCTAA-1", "d2b.data_CGAGTTAGTGTCCCTT-1", "d2b.data_GAGTGTTTCTACAGGT-1", "d2b.data_TGTGATGTCTACCCAC-1", "d2b.data_GCCCGAAGTGTATCCA-1", "d2b.data_ACAACCAGTTGTTGCA-1", "d2b.data_TTCCGGTAGCGTTACT-1", "d2b.data_TCGTGCTTCTGTGTGA-1", "d2b.data_TGGAACTGTTACCCAA-1", "d2b.data_TCTATACGTTGCTTGA-1", "d2b.data_TCATGAGCACTGGAAG-1", "d2b.data_CTTACCGAGCGTGAAC-1", "d2b.data_ACAGGGATCCAAGCAT-1", "d2b.data_TCGGATAGTGACGTCC-1", "d2b.data_CGTGAATGTTGCCGCA-1", "d2b.data_GTCCACTCATCACAGT-1", "d2b.data_GTTTGGACAGTACTAC-1", "d2b.data_ACAAGCTTCGAGAATA-1", "d2b.data_GGTTAACGTTTCCCAC-1", "d2b.data_GTGTCCTCATCATCCC-1", "d2b.data_ATCGGATCAGCTTCCT-1", "d2b.data_TCACTCGGTGAAGCTG-1", "d2b.data_AGACCATTCGCATAGT-1", "d2b.data_CAACCAACATGTCAGT-1", "d2b.data_ACAAGCTGTCGTGCCA-1", "d2b.data_ACACGCGTCATGAGGG-1", "d2b.data_CCTAAGAGTGATTGGG-1", "d2b.data_GCGGATCGTGGATCAG-1", "d2b.data_CGCAGGTAGCTCACTA-1", "d2b.data_TTTCGATTCTCCGATC-1", "d2b.data_TCACACCGTTGGACCC-1", "d2b.data_CTCCGATTCGATAACC-1", "d2b.data_GTCAAGTAGAGGTATT-1", "d2b.data_TGATCAGTCCAAAGGG-1", "d2b.data_AGTGATCTCACCGACG-1", "d2b.data_GTCGTAAGTGTCGCTG-1", "d2b.data_TATGTTCTCACTCCGT-1", "d2b.data_ACATGCAGTCAGCTTA-1", "d2b.data_AGTGCCGTCTCGCAGG-1", "d2b.data_CAGTTAGCAGAACCGA-1", "d2b.data_AGGCATTTCGAGGCAA-1", "d2b.data_CCACTTGTCCTTCTTC-1", "d2b.data_TGAATCGTCTAAGAAG-1", "d2b.data_GCAGGCTAGGGATCTG-1", "d2b.data_GGCTTTCGTGATATAG-1", "d2b.data_GCAACATGTCTTGTCC-1", "d2b.data_ATGATCGCACTGGCCA-1", "d2b.data_TCGCACTCAAGGGTCA-1", "d2b.data_AACAAAGTCACTGATG-1", "d2b.data_CAGATACAGACATAAC-1", "d2b.data_CAGTTAGCAATAAGGT-1", "d2b.data_TGGTTAGGTGTACGCC-1", "d2b.data_TCGCAGGGTTTCACAG-1", "d2b.data_TACGTCCGTGCAACGA-1", "d2b.data_CAGCGTGGTAGGTGCA-1", "d2b.data_GACCAATCACAGTCCG-1", "d2b.data_GGGAGTATCTTACACT-1", "d2b.data_TGCACGGAGTCGCTAT-1", "d2b.data_GAGTCATCAAGCGCAA-1", "d2b.data_AGGGTCCAGGTTACAA-1", "d2b.data_CCACGTTGTACAGAGC-1", "d2b.data_AGTGACTCAGTCAGCC-1", "d2b.data_CGTGATAGTCTGTCCT-1", "d2b.data_ATCGCCTCACGAGAAC-1", "d2b.data_GCAACATGTAAGATCA-1", "d2b.data_GATAGAAAGGCTTCCG-1", "d2b.data_GCGTGCAAGGCCTAGA-1", "d2b.data_CGTTAGAAGTTCGCAT-1", "d2b.data_AGGTAGGTCCGTGTAA-1", "d2b.data_GCATCGGTCGCGTGAC-1", "d2b.data_CTTCGGTGTTTGGAAA-1", "d2b.data_ATATCCTAGCAGTAAT-1", "d2b.data_TGGAGAGGTCAGTCTA-1", "d2b.data_TAACGACGTTAACCTG-1", "d2b.data_TCTGGCTGTCTGCGCA-1", "d2b.data_GTAGGAGCAGATTAAG-1", "d2b.data_AGTGTTGTCCGTGGCA-1", "d2b.data_GTCATTTAGGGCAAGG-1", "d2b.data_CTAAGTGAGGTTCATC-1", "d2b.data_ACTTTCACACCCTCTA-1", "d2b.data_GACGCTGGTTGGGCCT-1", "d2b.data_ATTCAGGTCACGAACT-1", "d2b.data_GTGAGTTGTCTAGTGT-1", "d2b.data_TATCTGTTCTAGAGCT-1", "d2b.data_TGTTGGACATGTCTAG-1", "d2b.data_AAACCCAGTTTCGACA-1", "d2b.data_TCGCAGGCAGCGGTTC-1", "d2b.data_CCCTTAGGTTAGAGTA-1", "d2b.data_TCGTGGGGTTCAGCGC-1", "d2b.data_ATACTTCCAGTCTCTC-1", "d2b.data_TGACTCCTCCGCAGTG-1", "d2b.data_GTTGCGGAGCAGTAAT-1", "d2b.data_ATCATTCTCGCCAGAC-1", "d2b.data_TTGACCCGTTTGATCG-1", "d2b.data_CATACCCCAAATCAGA-1", "d2b.data_CTTCTAATCGAGTGAG-1", "d2b.data_CGCGTGAGTAAGCAAT-1", "d2b.data_TCCGGGATCGTTCAGA-1", "d2b.data_CATCGGGTCAAGCCTA-1", "d2b.data_GCTCAAAAGGCTTCCG-1", "d2b.data_GAGGGTAAGTAATTGG-1", "d2b.data_TGCGACGGTATAGGAT-1", "d2b.data_TCGGATAAGTTGGGAC-1", "d2b.data_GACTGATTCACCATCC-1", "d2b.data_CGTGCTTCAATAGAGT-1", "d2b.data_AACCACAAGGTACCTT-1", "d2b.data_ATTACCTTCACCGGTG-1", "d2b.data_CTGTGAAGTCTTCAAG-1", "d2b.data_GCGGATCCAGAGAAAG-1", "d2b.data_ATCGTCCAGACTTCCA-1", "d2b.data_GTAGTACAGCTAAGTA-1", "d2b.data_ATTACCTGTGAGATAT-1", "d2b.data_TCGACGGAGACGCATG-1", "d2b.data_CCAATTTGTTATCCAG-1", "d2b.data_AACCATGTCTGCCCTA-1", "d2b.data_GCATGATGTGTAGTGG-1", "d2b.data_TTACGCCCAACACAAA-1", "d2b.data_ATGCGATCACGGTGAA-1", "d2b.data_CTAGGTAAGTCACTAC-1", "d2b.data_GGTCACGAGTAGCCAG-1", "d2b.data_AAGACTCCATGATAGA-1", "d2b.data_TCCAGAAGTGAGGAAA-1", "d2b.data_TACGGGCGTTGTGTTG-1", "d2b.data_CTCCGATTCTCGTGAA-1", "d2b.data_TGATGGTTCCGTCCTA-1", "d2b.data_AATGGCTGTTGTATGC-1", "d2b.data_TAAGCACGTCCCTAAA-1", "d2b.data_CAGATTGTCTTCCGTG-1", "d2b.data_AGATCGTCATGGGATG-1", "d2b.data_ACGATGTGTCGTTCAA-1", "d2b.data_CGAATTGGTACAGTTC-1", "d2b.data_ATGGAGGGTCGCAACC-1", "d2b.data_TAGGTTGCATACTTTC-1", "d2b.data_TACTTCAAGTTGCGAG-1", "d2b.data_GTGGAGACAAAGTGTA-1", "d2b.data_GCAACATAGTGGCAGT-1", "d2b.data_GTAGTACCAAACTCGT-1", "d2b.data_AACAAAGGTTGTCATG-1", "d2b.data_GTGGAAGGTGCATACT-1", "d2b.data_GGCACGTAGCCTCGTG-1", "d2b.data_GTTAGTGTCGCCAATA-1", "d2b.data_ACTGTGATCGATACAC-1", "d2b.data_ATGGAGGCACACCTTC-1", "d2b.data_GGATCTACAGCGAGTA-1", "d2b.data_AGAGCAGAGATGGTAT-1", "d2b.data_TCGACCTTCGTAACCA-1", "d2b.data_GAACTGTAGCCTGTGC-1", "d2b.data_AGAGAGCAGGGCAATC-1", "d2b.data_TCACTATTCGTAGCCG-1", "d2b.data_AGGTAGGAGCCTCTCT-1", "d2b.data_AGATCGTTCCTCAGAA-1", "d2b.data_TTCGGTCCAAATGGTA-1", "d2b.data_TGTAAGCGTGCGGTAA-1", "d2b.data_CTCCTTTGTACAGGTG-1", "d2b.data_TCTCCGAGTCGCCTAG-1", "d2b.data_GTAGATCGTCTGCATA-1", "d2b.data_GCCCAGAAGAGACAAG-1", "d2b.data_TGACTCCGTTCATCGA-1", "d2b.data_TCCCAGTAGCTGGAGT-1", "d2b.data_TGAGCATAGGCACTAG-1", "d2b.data_TACTGCCTCGATAACC-1", "d2b.data_CAGATCAGTGGTTCTA-1", "d2b.data_TGTGTGAGTGCCTTTC-1", "d2b.data_ATAGAGAGTGAACTAA-1", "d2b.data_TTTAGTCGTACGACAG-1", "d2b.data_ATTTCTGGTAAGCAAT-1", "d2b.data_GACGCTGGTAAGCGGT-1", "d2b.data_TCTACCGAGACTGAGC-1", "d2b.data_CCACAAAGTCTACTGA-1", "d2b.data_CATTGCCAGCGGATCA-1", "d2b.data_CGGAGAAAGGCGCTTC-1", "d2b.data_GAAGGGTGTAGAGTTA-1", "d2b.data_TTATTGCTCGATACAC-1", "d2b.data_TTCCTAAAGACGCCAA-1", "d2b.data_GAGCTGCTCCAAGAGG-1", "d2b.data_AGGATAAAGCACCGAA-1", "d2b.data_GGTGAAGAGAGTGAAG-1", "d2b.data_AATGACCAGTATGTAG-1", "d2b.data_GCAGCCAGTGCGTTTA-1", "d2b.data_AGGACTTGTAGTGCGA-1", "d2b.data_CTTTCGGGTCTGTTAG-1", "d2b.data_GTAGAGGAGGGTTGCA-1", "d2b.data_TAGGAGGTCCCAGGAC-1", "d2b.data_ACGTAACAGTGCTCGC-1", "d2b.data_AACAGGGAGGCCTGCT-1", "d2b.data_TCATATCGTATGCGGA-1", "d2b.data_CTACATTCATCGAGCC-1", "d2b.data_GGTGTCGTCACAGAGG-1", "d2b.data_CAGCAGCAGCTAAGTA-1", "d2b.data_TACGTCCTCTCCTGCA-1", "d2b.data_GGGAGTACACACCGCA-1", "d2b.data_TGGGAGAAGAAATTCG-1", "d2b.data_CCGTAGGAGTGTAGAT-1", "d2b.data_ATCCCTGTCGAACCTA-1", "d2b.data_TTACCATCACAAAGCG-1", "d2b.data_TGATGCACACTTCATT-1", "d2b.data_TGGAGAGCACGTGTGC-1", "d2b.data_AGGTCTAGTCAACCAT-1", "d2b.data_CGAGGCTCATCGCTGG-1", "d2b.data_CTACCCATCGTCAAAC-1", "d2b.data_CAACCAATCGAAGCCC-1", "d2b.data_ATACTTCGTATGAAGT-1", "d2b.data_AACGAAACATGAAAGT-1", "d2b.data_GCCCGAAGTGCCTGAC-1", "d2b.data_AACGTCATCGACGATT-1", "d2b.data_TTCATGTCAATCTCTT-1", "d2b.data_CACCAAATCAGCTTCC-1", "d2b.data_GTCATCCAGTAGGCCA-1", "d2b.data_TGCAGTAAGGTTCACT-1", "d2b.data_TCACGCTCAGAGCCCT-1", "d2b.data_GGGTTATCATGACGAG-1", "d2b.data_AGATGAAGTTGTAAAG-1", "d2b.data_ACTTAGGTCCAAGCCG-1", "d2b.data_ACGATGTAGGGAGTTC-1", "d2b.data_ATATCCTCAAGCGAAC-1", "d2b.data_ACGTCCTAGAGCTGAC-1", "d2b.data_TTGGATGTCAATCCAG-1", "d2b.data_CTCATTATCATGAGGG-1", "d2b.data_TCGCAGGGTGATTGGG-1", "d2b.data_TGGTGATAGAAGCGCT-1", "d2b.data_GGTTCTCTCTTCGGAA-1", "d2b.data_TGCACGGAGGCACCAA-1", "d2b.data_GTTCGCTAGCTTGTTG-1", "d2b.data_GAGATGGGTCAACATC-1", "d2b.data_AGAAATGGTCAATGGG-1", "d2b.data_CATGCAATCTTTGATC-1", "d2b.data_AGACCATAGCATGATA-1", "d2b.data_GAATCGTGTGTGTTTG-1", "d2b.data_AGTGTTGTCAGCAATC-1", "d2b.data_AGTAACCTCATAGAGA-1", "d2b.data_TCCTCCCTCCACGGGT-1", "d2b.data_AGGCCACGTAGGAAAG-1", "d2b.data_GTAATCGAGAATTGTG-1", "d2b.data_AATGGCTCAATAACGA-1", "d2b.data_CAAGGGAGTGCAAGAC-1", "d2b.data_TAGAGTCAGAATGTTG-1", "d2b.data_GACCTTCAGTGCGTCC-1", "d2b.data_TCAGGTATCATGTCAG-1", "d2b.data_CGATGGCAGACGCCCT-1", "d2b.data_CCTGCATAGAAGCCTG-1", "d2b.data_GTCGTTCTCGTCCATC-1", "d2b.data_AGTAGCTGTTCCTTGC-1", "d2b.data_CATCCCATCACTGCTC-1", "d2b.data_CTCCTTTCAACTCCAA-1", "d2b.data_CGCGTGAAGTAGTCAA-1", "d2b.data_AGTACCACATGAGAAT-1", "d2b.data_AGTGCCGAGCAACAGC-1", "d2b.data_TCAAGTGAGAGTTGCG-1", "d2b.data_TCGACGGCACTAACGT-1", "d2b.data_GTTGTGACAGGAACCA-1", "d2b.data_GTAATGCGTGGCTAGA-1", "d2b.data_ATGAGGGAGGCCACTC-1", "d2b.data_GTCATGAAGTATCTGC-1", "d2b.data_CTCAAGAAGCGGTAGT-1", "d2b.data_GATTCTTTCTACGCAA-1", "d2b.data_CATTGAGCATGAAGCG-1", "d2b.data_CGGCAGTCATGACGAG-1", "d2b.data_CATCCGTCACGTAGTT-1", "d2b.data_TCGGTCTTCCCGTGAG-1", "d2b.data_TCAAGACTCAAGTCGT-1", "d2b.data_TCCTCGAGTATGTCCA-1", "d2b.data_TGCATCCAGGTACAAT-1", "d2b.data_CTGGACGCAGTGCGCT-1", "d2b.data_AGTACCAAGAGCTGAC-1", "d2b.data_CTCAGTCGTAAGATCA-1", "d2b.data_CTAGGTATCCGGACTG-1", "d2b.data_CTCAACCAGAAGCGGG-1", "d2b.data_GAACTGTTCGACCACG-1", "d2b.data_GGTCTGGCATTGAAAG-1", "d2b.data_AAACCCATCTACAGGT-1", "d2b.data_TTTATGCGTAGCGATG-1", "d2b.data_TTAGGCAGTAGGCTGA-1", "d2b.data_CGTAAGTCACTAGTAC-1", "d2b.data_TTAGGGTAGCGGCTCT-1", "d2b.data_GGGCTCAGTAGTCCTA-1", "d2b.data_GTTGAACCAGACCAGA-1", "d2b.data_CAACCAAGTCGTATTG-1", "d2b.data_GAGTTACGTAGCGTCC-1", "d2b.data_CGCATAACACGCTGTG-1", "d2b.data_AGCATCATCGGTAGAG-1", "d2b.data_GCCCAGAGTTGGTAGG-1", "d2b.data_ACCTGTCGTCATGCAT-1", "d2b.data_CCCAACTCACACAGAG-1", "d2b.data_CGCATGGCACATTACG-1", "d2b.data_TACCCACTCCAAGAGG-1", "d2b.data_TCATATCTCGAGCTGC-1", "d2b.data_ACTTCCGTCCAAAGGG-1", "d2b.data_CCTCAGTTCGGCGATC-1", "d2b.data_TCTCACGCAGACACAG-1", "d2b.data_CACGTGGCATGGATCT-1", "d2b.data_AGGGAGTAGCAACAAT-1", "d2b.data_TCCGTGTCAACATACC-1", "d2b.data_ATACCGAAGGACCCAA-1", "d2b.data_TTTGATCAGGCTTAGG-1", "d2b.data_TCACAAGTCAAAGGTA-1", "d2b.data_AACGTCACATACAGAA-1", "d2b.data_ATCGGATCAGGACATG-1", "d2b.data_TCCAGAAGTACGGGAT-1", "d2b.data_TACATTCCAAAGGAGA-1", "d2b.data_GTCACGGTCGTCCTTG-1", "d2b.data_GAGTTGTGTTTCACAG-1", "d2b.data_TGGAACTGTTGTTTGG-1", "d2b.data_TTCCGGTAGGGATGTC-1", "d2b.data_GCGTTTCGTATCGTAC-1", "d2b.data_TCCACGTGTACAGGTG-1", "d2b.data_CCGTGAGAGGACCCAA-1", "d2b.data_GTCCCATCACACCGAC-1", "d2b.data_AAAGTCCTCAGTGGGA-1", "d2b.data_TAAGCACTCACCCTGT-1", "d2b.data_AACGAAACAGAATTCC-1", "d2b.data_TTGGTTTCAACCGACC-1", "d2b.data_CCTCAGTTCAAGGACG-1", "d2b.data_GCGATCGCAACTCCAA-1", "d2b.data_ATTCCATCACGTACTA-1", "d2b.data_TGCATGAGTTTCGATG-1", "d2b.data_ACGGAAGTCCGCCTAT-1", "d2b.data_CTGCTCACACTGGAAG-1", "d2b.data_CATCGGGGTAGCACAG-1", "d2b.data_TCTACCGGTACGATGG-1", "d2b.data_CCACTTGCAGCCGGTT-1", "d2b.data_GCCAGCAGTCTTTATC-1", "d2b.data_TATCGCCCAATTCTTC-1", "d2b.data_ATTACCTTCCCGAGAC-1", "d2b.data_TACTTGTCAACGCCCA-1", "d2b.data_GTGGAAGTCTATGCCC-1", "d2b.data_TCGACCTAGTATTCCG-1", "d2b.data_GATCGTAAGTGCAAAT-1", "d2b.data_CTCAGAAGTGCCGTTG-1", "d2b.data_GCAGCCATCGGTCAGC-1", "d2b.data_GATTCTTGTAAGGTCG-1", "d2b.data_GTCATCCTCCCTCTCC-1", "d2b.data_TCGATTTTCCCGAATA-1", "d2b.data_TTCCGTGCACACAGAG-1", "d2b.data_CTGAGCGAGCGAGGAG-1", "d2b.data_ATCGTAGGTGGCCTCA-1", "d2b.data_TCATTACAGCTCTATG-1", "d2b.data_ACCAAACTCTCACCCA-1", "d2b.data_GTGACGCGTCTCTCAC-1", "d2b.data_AGCTACATCCGCACGA-1", "d2b.data_ACGGAAGGTGAGCAGT-1", "d2b.data_TGGAGAGTCGGTCTAA-1", "d2b.data_GTCTTTACAAATTAGG-1", "d2b.data_GTCGAATGTATGAAGT-1", "d2b.data_TTGCATTAGTGGATAT-1", "d2b.data_GAACTGTGTAGCTTAC-1", "d2b.data_TAGGGTTGTCCATACA-1", "d2b.data_TCCATCGGTTGCATTG-1", "d2b.data_GCACTAAAGAGAGGTA-1", "d2b.data_GTGGCGTAGAGTTGAT-1", "d2b.data_CAGATTGAGTACTGTC-1", "d2b.data_TGAGACTCATGCCGAC-1", "d2b.data_GAGTGTTTCCGGACGT-1", "d2b.data_GATCCCTCAGGATTCT-1", "d2b.data_GTCAAACGTGGCAGAT-1", "d2b.data_GCTGAATGTATGCTTG-1", "d2b.data_ACATTTCCAAATAGCA-1", "d2b.data_CAACGATTCCGCGATG-1", "d2b.data_CAATGACCAAATGCGG-1", "d2b.data_TCGGGACCAAACTCTG-1", "d2b.data_ATACCTTGTATGAAAC-1", "d2b.data_ACGTAGTGTATTTCGG-1", "d2b.data_TAAGCGTTCAGCGGAA-1", "d2b.data_GACTCAAAGTTGTAGA-1", "d2b.data_TGGGAGAAGCAATAAC-1", "d2b.data_GTTTACTGTTGTCCCT-1", "d2b.data_GGGCTCAGTAGAGTTA-1", "d2b.data_GAAGAATCACGTACTA-1", "d2b.data_CATGGATTCACTTCTA-1", "d2b.data_GGAGGTAGTCCACTTC-1", "d2b.data_CAAGAGGCATTACGGT-1", "d2b.data_AGTCATGCATGTTACG-1", "d2b.data_ATACCGAGTAGAATGT-1", "d2b.data_ACGGAAGAGGCCGCTT-1", "d2b.data_TATTGGGAGTACCCTA-1", "d2b.data_GGAACCCTCATTTGCT-1", "d2b.data_CTCATCGGTACTGGGA-1", "d2b.data_ACAGGGACATGGCTAT-1", "d2b.data_AAGCATCAGGCGAAGG-1", "d2b.data_TGAGACTGTCCGAAGA-1", "d2b.data_TCATATCTCGAGAATA-1", "d2b.data_AGAAGCGCAGGCTATT-1", "d2b.data_AAGCCATGTGCTGCAC-1", "d2b.data_GTGACGCTCAGCACCG-1", "d2b.data_GGGACAACATCGCTAA-1", "d2b.data_ACCATTTCAATCTGCA-1", "d2b.data_TGCGATACAGGACGAT-1", "d2b.data_GTGGAAGTCTTGGAAC-1", "d2b.data_CCACAAAGTTACACTG-1", "d2b.data_AACCTTTTCTCCTGAC-1", "d2b.data_TCTAACTTCTGCATAG-1", "d2b.data_CTCAGGGGTCTGTAGT-1", "d2b.data_CATACCCTCCCGTTGT-1", "d2b.data_GCTTTCGGTATCGATC-1", "d2b.data_ATTCATCTCTTGGGCG-1", "d2b.data_TTGATGGAGATGGTAT-1", "d2b.data_AACCAACCATCGAAGG-1", "d2b.data_CTCCCAAGTGATTCAC-1", "d2b.data_GGGTGAACATGGCACC-1", "d2b.data_CTCCCAACATCTTTCA-1", "d2b.data_AATCACGAGTGGTTGG-1", "d2b.data_AAAGGTAAGGGCAAGG-1", "d2b.data_AACCAACCAACGATCT-1", "d2b.data_ATAGACCTCTCACCCA-1", "d2b.data_GGTTCTCAGGAGACCT-1", "d2b.data_CAGGGCTAGTTACTCG-1", "d2b.data_GAGTTGTCAGCGTAGA-1", "d2b.data_CTGCATCGTCGATGCC-1", "d2b.data_ACATGCATCAGTGCGC-1", "d2b.data_GTGTGGCCATATTCGG-1", "d2b.data_GGAAGTGAGCTACTGT-1", "d2b.data_CCAATGACACCTAAAC-1", "d2b.data_ATTACTCCAGGCGAAT-1", "d2b.data_CTTAGGACAGTCGAGA-1", "d2b.data_AGTACTGAGCCAACCC-1", "d2b.data_CAGTGCGTCTTTGATC-1", "d2b.data_GAGCTGCAGATGCCGA-1", "d2b.data_ATCACGAGTCGAATTC-1", "d2b.data_AGATGCTAGGCGTCCT-1", "d2b.data_CGTAATGTCGAATCCA-1", "d2b.data_TCCACGTCATCGAGCC-1", "d2b.data_GTCACGGTCTCCCATG-1", "d2b.data_TCATGGATCAACACCA-1", "d2b.data_CTTACCGAGGTAAGTT-1", "d2b.data_TGTACAGCAGTTCACA-1", "d2b.data_CTCAATTCATGACGGA-1", "d2b.data_TGCTCGTTCAACTGAC-1", "d2b.data_AGTTCGAAGTATAGGT-1", "d2b.data_AATTCCTCAGAAGTGC-1", "d2b.data_AGGTCTAGTTCTCCTG-1", "d2b.data_GGAGATGGTTTCAGAC-1", "d2b.data_TGTACAGGTGACTCTA-1", "d2b.data_TGCGACGTCAGGAAAT-1", "d2b.data_TCATTCAGTGCGGTAA-1", "d2b.data_GCCATGGAGCTACTGT-1", "d2b.data_ATCGCCTGTGGCTTGC-1", "d2b.data_TACAACGTCGTTCTCG-1", "d2b.data_ATCGATGAGAAACTAC-1", "d2b.data_ATTATCCCATGTCTAG-1", "d2b.data_GCATCTCAGCCTTCTC-1", "d2b.data_TTTCCTCGTGGCCCAT-1", "d2b.data_GTGAGTTGTGCAACAG-1", "d2b.data_CCCATTGGTAGCTGCC-1", "d2b.data_CCTAACCGTTAGGAGC-1", "d2b.data_GATTCTTCAGTCGTTA-1", "d2b.data_TTTACGTCAGACCTGC-1", "d2b.data_AGAGCCCGTTGACTAC-1", "d2b.data_AAGCGTTAGTAGAATC-1", "d2b.data_GACTCAAGTGTCACAT-1", "d2b.data_GCGTTTCTCAATCTTC-1", "d2b.data_CAGTGCGAGAGTGGCT-1", "d2b.data_CGTGAATGTACAACGG-1", "d2b.data_AGTCTCCGTTTGGAAA-1", "d2b.data_GAATAGACACTAGTAC-1", "d2b.data_AGCTACAAGGCCTAGA-1", "d2b.data_AGGTCATGTCTTACTT-1", "d2b.data_AACGAAAGTCTTGCTC-1", "d2b.data_GCCAGGTCACTAGAGG-1", "d2b.data_CCTATCGTCATGCCGG-1", "d2b.data_CCCGAAGTCCGCTAGG-1", "d2b.data_GGGTTTACACTAAACC-1", "d2b.data_CGTCCATAGCATCTTG-1", "d2b.data_ACGTAACGTGCCCAGT-1", "d2b.data_ACATCCCAGAGTCACG-1", "d2b.data_AACCAACCAGCTTCGG-1", "d2b.data_CTCATCGTCTCCAAGA-1", "d2b.data_CCTCCAAGTGATCATC-1", "d2b.data_GTCGTAAGTCGCGGTT-1", "d2b.data_AATAGAGTCATTCGTT-1", "d2b.data_GTGAGCCTCACCGGGT-1", "d2b.data_TAATCTCTCATAAGGA-1", "d2b.data_AACGGGAGTTCACCGG-1", "d2b.data_GAAGGGTAGTGGATTA-1", "d2b.data_ATGACCACAAGAGCTG-1", "d2b.data_TGAGACTAGAGTTGAT-1", "d2b.data_AGACCATGTCGACTGC-1", "d2b.data_TAAGTCGGTGCATACT-1", "d2b.data_AGCTCAACAAAGGCTG-1", "d2b.data_CCTTGTGAGTGCACTT-1", "d2b.data_GTACAACTCGTGGGAA-1", "d2b.data_TTCACCGAGCCTGAGA-1", "d2b.data_AAGTTCGAGCTGAAGC-1", "d2b.data_TGAGACTCACTTGGCG-1", "d2b.data_ACGGTTAGTGCTCTTC-1", "d2b.data_TAGCACAGTTTGGAGG-1", "d2b.data_GCTTGGGCAGAATTCC-1", "d2b.data_ATGGATCTCAGAGTGG-1", "d2b.data_TTCCGTGCAATCTCTT-1", "d2b.data_TCGAACATCTTCTGTA-1", "d2b.data_GCACGTGTCTTCTCAA-1", "d2b.data_TTACGCCAGCTCGACC-1", "d2b.data_ACTTTCAGTAAGATCA-1", "d2b.data_CTCAGTCTCGCTCCTA-1", "d2b.data_TCTGTCGTCAAGTCGT-1", "d2b.data_GCCAGGTTCGAGCCAC-1", "d2b.data_GTGGCGTTCGAGATAA-1", "d2b.data_GCACGGTTCATCTATC-1", "d2b.data_AAGGTAATCGAAGCCC-1", "d2b.data_AAGTACCAGTTAGAAC-1", "d2b.data_GCCGATGAGTGACACG-1", "d2b.data_GGGTTATTCTGTCGTC-1", "d2b.data_ATGATCGTCTGGTTGA-1", "d2b.data_CAGCGTGTCGATTGGT-1", "d2b.data_GATCATGGTCTACTGA-1", "d2b.data_TCGCTTGAGTTGCTCA-1", "d2b.data_CAAGAGGTCTATTCGT-1", "d2b.data_AAACGAAAGCGCTGAA-1", "d2b.data_TCCGAAATCTAATTCC-1", "d2b.data_TGAGGAGTCCAGGACC-1", "d2b.data_AATCGACAGGTGCTAG-1", "d2b.data_TGTCAGACATGCCATA-1", "d2b.data_AAGACTCGTCTGCAAT-1", "d2b.data_ACGATCATCTGCTTTA-1", "d2b.data_ACTTATCGTATTGCCA-1", "d2b.data_CTAGACAAGTAAGACT-1", "d2b.data_TGTAACGTCTTCGTAT-1", "d2b.data_TTCTAACTCGCCAATA-1", "d2b.data_ATCCTATCAAACGAGC-1", "d2b.data_AGGGAGTTCCACGTGG-1", "d2b.data_GACTATGTCCAGTGCG-1", "d2b.data_AATCGTGTCCATGATG-1", "d2b.data_CCCTTAGAGGAAAGAC-1", "d2b.data_GCTACCTTCATGCTAG-1", "d2b.data_ATCCACCAGTCAACAA-1", "d2b.data_AGGATCTTCGGCTTGG-1", "d2b.data_ATCACAGTCTTCTCAA-1", "d2b.data_TGCGGCACACGACTAT-1", "d2b.data_TTAGGGTGTAGATTAG-1", "d2b.data_CGGGTCAGTATTTCCT-1", "d2b.data_GGGAGTATCCTTCTGG-1", "d2b.data_CCTTTGGAGGAGATAG-1", "d2b.data_CGAAGTTCATGATGCT-1", "d2b.data_GTAACACCAACCACAT-1", "d2b.data_ACTACGACATTGTAGC-1", "d2b.data_AGGCCACTCGTCTAAG-1", "d2b.data_TAATTCCTCCACGTGG-1", "d2b.data_TACAACGTCGGAAGGT-1", "d2b.data_ATTCGTTCATCTTAGG-1", "d2b.data_TTCCTTCCACGTAACT-1", "d2b.data_TTTAGTCGTTGCCGCA-1", "d2b.data_CAATGACAGCCGATCC-1", "d2b.data_TGTTCATAGCACTTTG-1", "d2b.data_CACAGATAGTGAGTGC-1", "d2b.data_GGATCTAGTTCAGCGC-1", "d2b.data_CAAGACTCAGGAGGTT-1", "d2b.data_GGGTTTAAGGCATCTT-1", "d2b.data_CAGCAGCTCATCAGTG-1", "d2b.data_TTCGCTGCAGCTAACT-1", "d2b.data_AAAGGGCTCGAACACT-1", "d2b.data_ATCATTCTCTAACGCA-1", "d2b.data_CCGTTCACAATGCTCA-1", "d2b.data_TCCACGTTCTGTGCAA-1", "d2b.data_AGGGTTTCAGGGAATC-1", "d2b.data_GGCTGTGCAATCAGCT-1", "d2b.data_ACGTCCTGTTAAACAG-1", "d2b.data_ATCAGGTTCCAAATGC-1", "d2b.data_CAGGGCTGTTGGGATG-1", "d2b.data_ATAGGCTGTGAGTTGG-1", "d2b.data_GATAGCTAGCATTGAA-1", "d2b.data_AGACAGGAGGTTAGTA-1", "d2b.data_ATTACTCAGGATTCCT-1", "d2b.data_CTCCGATCAGAAGTTA-1", "d2b.data_TAACACGTCCATGATG-1", "d2b.data_GAAGGGTGTAACTAAG-1", "d2b.data_GGGTGTCCAATCGCCG-1", "d2b.data_CTCATTAAGGACTGGT-1", "d2b.data_GACTCAAAGGAGTATT-1", "d2b.data_AGGTGTTCACATATCG-1", "d2b.data_ACTCCCACATCCGCGA-1", "d2b.data_CTAACCCAGTCAAGCG-1", "d2b.data_AGAGAGCTCTTGGAAC-1", "d2b.data_TCCGTGTGTATCGCGC-1", "d2b.data_CATCCCACATTCTTCA-1", "d2b.data_ACGTACATCCCGTGTT-1", "d2b.data_AAAGGATGTCTTCGAA-1", "d2b.data_CGTGTCTTCTTACGTT-1", "d2b.data_GGTTGTAAGCACTAGG-1", "d2b.data_AGGATCTAGGGCAGAG-1", "d2b.data_ACTTTGTAGAAACACT-1", "d2b.data_GACCCAGGTGTTACTG-1", "d2b.data_TTGATGGAGGTCACCC-1", "d2b.data_TTTGATCCACAAGCCC-1", "d2b.data_TGATCAGTCTCTATGT-1", "d2b.data_GTTAGACTCTTAGTTC-1", "d2b.data_AGATAGAAGTGTACAA-1", "d2b.data_TTCATTGCAGCTGGTC-1", "d2b.data_GGAGGATGTAGGTTTC-1", "d2b.data_GTTGAACGTTCTCTCG-1", "d2b.data_GAGATGGGTGAGCCAA-1", "d2b.data_ATGACCACAACAACAA-1", "d2b.data_TGACTCCTCACACCGG-1", "d2b.data_ATGGGTTAGAAACCCG-1", "d2b.data_GGGTCACGTCACCACG-1", "d2b.data_ACAAGCTGTTGTTTGG-1", "d2b.data_CTGTGGGCATCCGAGC-1", "d2b.data_TCCCACACAGGTGTTT-1", "d2b.data_GTATTTCTCTTGGAAC-1", "d2b.data_GTCTACCGTTCGGTTA-1", "d2b.data_AAGGTAACACGATAGG-1", "d2b.data_AAAGGGCGTGTCTTCC-1", "d2b.data_GTCACTCGTATAATGG-1", "d2b.data_AAGACTCCAGTTGAAA-1", "d2b.data_GTCACGGCAATACAGA-1", "d2b.data_AGGACTTTCTGTCGCT-1", "d2b.data_TTTCAGTTCGTACCTC-1", "d2b.data_ACGTCCTGTGCCCGTA-1", "d2b.data_TTCCAATAGATACTGA-1", "d2b.data_ATCCCTGTCTTCCGTG-1", "d2b.data_TTCTTGAGTCATACCA-1", "d2b.data_CTCTGGTAGTGCCGAA-1", "d2b.data_AGGTTACTCAGACATC-1", "d2b.data_TCTTTGAAGTCGGGAT-1", "d2b.data_TTGGGCGCATTAGGAA-1", "d2b.data_ACGTCCTGTCCCGCAA-1", "d2b.data_GCTACAATCACTGTCC-1", "d2b.data_CCACACTCATGAATCC-1", "d2b.data_CTTCCGATCAAGCCTA-1", "d2b.data_TTAATCCAGTTGGCGA-1", "d2b.data_GGGCCATTCCCACAGG-1", "d2b.data_GGGCGTTTCGAAGCAG-1", "d2b.data_GCATCTCCATACCATG-1", "d2b.data_TCAAGACTCAGTGTTG-1", "d2b.data_CGAGTGCAGTTCGGTT-1", "d2b.data_AGCTACATCCAGGACC-1", "d2b.data_CCCAACTCAGGCGATA-1", "d2b.data_TGCGGCAAGCCTCTGG-1", "d2b.data_AAGTCGTGTGTGATGG-1", "d2b.data_TGACCCTGTGAGTAGC-1", "d2b.data_ACAGGGACAACGCCCA-1", "d2b.data_ACCAACAAGGATACCG-1", "d2b.data_TCCACGTCATTGACTG-1", "d2b.data_CCTGTTGGTGGGTCAA-1", "d2b.data_TCGTAGAGTTATGGTC-1", "d2b.data_ATATCCTGTGGCTACC-1", "d2b.data_AGATCGTAGTCACTAC-1", "d2b.data_GTGACGCGTCTGGTTA-1", "d2b.data_CGTTAGAAGCACCGAA-1", "d2b.data_CAGCGTGAGACGGTTG-1", "d2b.data_TCGATTTCAGTTGTTG-1", "d2b.data_GTTGCGGCAAATGGAT-1", "d2b.data_TGGCGTGCAGACGATG-1", "d2b.data_CGAATTGTCCCTCTCC-1", "d2b.data_TTGGTTTTCCTATTGT-1", "d2b.data_GGCAGTCGTTCCCACT-1", "d2b.data_AGCTACACATGGCGCT-1", "d2b.data_CAGGTATAGGATACGC-1", "d2b.data_GGTAATCTCACCTCGT-1", "d2b.data_AGAAGTACAATTTCCT-1", "d2b.data_GGGTAGAAGCATTGAA-1", "d2b.data_ATGAAAGAGAAACTAC-1", "d2b.data_AACCAACCAATTGAGA-1", "d2b.data_AACAACCAGTCAGAGC-1", "d2b.data_AGAAGTATCGCAGTGC-1", "d2b.data_AGTTCGATCTCTAAGG-1", "d2b.data_CTCCGATTCGTTCAGA-1", "d2b.data_ATTATCCTCTAGTCAG-1", "d2b.data_ATCCCTGAGTGAGGTC-1", "d2b.data_AATGGCTTCAAGCTTG-1", "d2b.data_TATCTGTGTATTGACC-1", "d2b.data_TCGGTCTAGCGAACTG-1", "d2b.data_TAGACTGAGCCTATTG-1", "d2b.data_ATCACAGTCTCTGACC-1", "d2b.data_TGGATCAGTTGGATCT-1", "d2b.data_ATGGGAGCATGGTGGA-1", "d2b.data_TGACCCTGTGCCTAAT-1", "d2b.data_TCAGCCTCATATGAAG-1", "d2b.data_GGGCGTTCATCATTTC-1", "d2b.data_AGTTCGATCGGCAGTC-1", "d2b.data_GAATCGTGTTTCGGCG-1", "d2b.data_AGATCCATCTAGACCA-1", "d2b.data_TCATATCAGTCGCTAT-1", "d2b.data_GTAACACCACCGCTGA-1", "d2b.data_CATACTTCACTAGGTT-1", "d2b.data_TGATGCAAGGTCGTGA-1", "d2b.data_TACCCACGTAGGTAGC-1", "d2b.data_GTGAGTTGTAGTCGTT-1", "d2b.data_CCTCAACCAGATCACT-1", "d2b.data_GAGTCATGTCAAAGAT-1", "d2b.data_TTACGCCCAAGGTCGA-1", "d2b.data_CAGCAATTCGTGCACG-1", "d2b.data_GGTGGCTGTATTGGCT-1", "d2b.data_AGCTCAAAGACAGTCG-1", "d2b.data_GCCAACGTCATCGCTC-1", "d2b.data_TGCTGAAGTGACTAAA-1", "d2b.data_GGTCTGGTCAGTGATC-1", "d2b.data_AACCACAGTCGTCATA-1", "d2b.data_AGGACTTAGCCTAGGA-1", "d2b.data_TGTGTGAAGTGCGTCC-1", "d2b.data_TTCTCTCGTATCACCA-1", "d2b.data_CTGCTCATCACTTATC-1", "d2b.data_CCATCACAGCATCAAA-1", "d2b.data_CGTAAGTGTCATACCA-1", "d2b.data_ACGTAACCACTCCTGT-1", "d2b.data_TTGTTTGAGCACTCAT-1", "d2b.data_AGCGATTCAGACGGAT-1", "d2b.data_ACGATGTCAGGGCTTC-1", "d2b.data_CCTGTTGGTATTAAGG-1", "d2b.data_GAACACTTCTGGTCAA-1", "d2b.data_TGGGCGTTCCAATCTT-1", "d2b.data_TCACTATTCTCAAAGC-1", "d2b.data_TCGATTTGTTACGATC-1", "d2b.data_TGTTGAGAGACGTCGA-1", "d2b.data_TGGGCGTCAGGGATAC-1", "d2b.data_GTGTCCTGTGATTCTG-1", "d2b.data_TCTACCGCACTGGCCA-1", "d2b.data_CATGAGTTCGCAATGT-1", "d2b.data_GTCGAATGTCATAACC-1", "d2b.data_AGAAATGAGAGGTTAT-1", "d2b.data_CAGCACGGTGGATACG-1", "d2b.data_ATGGAGGTCGCTTTAT-1", "d2b.data_TTACGTTCAACTGCTA-1", "d2b.data_AAGCATCGTCGCACGT-1", "d2b.data_GGAACCCAGTCGAAGC-1", "d2b.data_CGGACACAGGATTCCT-1", "d2b.data_ATAGAGAGTATCTCTT-1", "d2b.data_ACCTACCGTCCCTCAT-1", "d2b.data_CTTACCGCAAGTGCAG-1", "d2b.data_GATTCGAGTCGTTCAA-1", "d2b.data_AGACAGGAGCTCGCAC-1", "d2b.data_GTTACAGTCGAAGGAC-1", "d2b.data_ATTCACTAGAGGTTAT-1", "d2b.data_GCGTGCACAATCTGCA-1", "d2b.data_CCGAACGCATCTATCT-1", "d2b.data_TACGGGCTCGGAATTC-1", "d2b.data_TCAATTCAGAGCCTGA-1", "d2b.data_AGGAATAGTCAGGTAG-1", "d2b.data_GCCCAGATCCGAAATC-1", "d2b.data_GTAGAAACATACAGCT-1", "d2b.data_GCCATGGAGTGCTAGG-1", "d2b.data_TCTCCGAAGCACTCAT-1", "d2b.data_GATCATGCAGTTTCAG-1", "d2b.data_GCCCGAATCGAGTACT-1", "d2b.data_TGAATGCCACACCAGC-1", "d2b.data_TTCATTGCACTTCTCG-1", "d2b.data_ACAACCAGTATCGAGG-1", "d2b.data_CGCCAGACAAAGACGC-1", "d2b.data_TGCTGAAAGACAACTA-1", "d2b.data_GTCTTTAAGGGCAGTT-1", "d2b.data_CGATGGCGTAGCCAGA-1", "d2b.data_ACTCCCAAGCATGCAG-1", "d2b.data_CCAAGCGAGCCTCGTG-1", "d2b.data_TACGCTCTCTTAGTTC-1", "d2b.data_TCATGTTTCTACGCAA-1", "d2b.data_AACCTTTTCTCATGGA-1", "d2b.data_ACGTAGTCACGGCGTT-1", "d2b.data_TTGAGTGCACACCTAA-1", "d2b.data_AGCTTCCGTTGGTAGG-1", "d2b.data_CATTCATTCGGTCACG-1", "d2b.data_TGTGATGGTAGCTGCC-1", "d2b.data_TCACGCTGTTATGGTC-1", "d2b.data_GGGTTTAAGATAGCAT-1", "d2b.data_GGAAGTGGTGACTCGC-1", "d2b.data_GTAGGTTGTCACCCTT-1", "d2b.data_AATCGTGCACACGGTC-1", "d2b.data_AGCGATTTCATTCCTA-1", "d2b.data_CAGTTCCGTTGTTGTG-1", "d2b.data_AATGCCACAACGGCTC-1", "d2b.data_GGGCTCACACGATTCA-1", "d2b.data_CATACAGAGAGTCAAT-1", "d2b.data_CTGGCAGAGGCCCGTT-1", "d2b.data_AACAGGGAGAATAGTC-1", "d2b.data_AACAAAGCAAAGAACT-1", "d2b.data_AGACCCGCACCCTTGT-1", "d2b.data_AGGTCTACAGCGACAA-1", "d2b.data_ACACGCGCAGACTGCC-1", "d2b.data_CACAACAGTAAGGAGA-1", "d2b.data_CATCCACCAATGTCTG-1", "d2b.data_TGGATGTGTCGCATTA-1", "d2b.data_GTCTGTCCACGAGAAC-1", "d2b.data_GGAGAACTCAACTGAC-1", "d2b.data_CCTCCAAGTCTAACGT-1", "d2b.data_CTCATGCGTGGATGAC-1", "d2b.data_CATGGTAAGGAGAGTA-1", "d2b.data_TTGTGGACACGGCGTT-1", "d2b.data_GCTGCAGTCAGACCGC-1", "d2b.data_GGGAGTACAACGACTT-1", "d2b.data_ATGCCTCAGGGCAGAG-1", "d2b.data_GTAGTACAGATGTTAG-1", "d2b.data_AGATGAAGTCACTCAA-1", "d2b.data_GGGAGATCAAGCGAGT-1", "d2b.data_ATTCAGGCATCACCAA-1", "d2b.data_CGGAGAATCCATACTT-1", "d2b.data_CATTGTTGTCTTGGTA-1", "d2b.data_ACGGGTCAGTGGGAAA-1", "d2b.data_TCCGGGAGTGAGTAAT-1", "d2b.data_CATGGATGTCGGCACT-1", "d2b.data_CTCAGAAGTGTCTAAC-1", "d2b.data_GTGACGCAGACCAAGC-1", "d2b.data_CCGAACGTCCGAAGGA-1", "d2b.data_TGCTTGCTCGCTAATG-1", "d2b.data_TGGAGAGCATGGATCT-1", "d2b.data_CACTAAGTCCAAGCAT-1", "d2b.data_GACCGTGTCCAAGCAT-1", "d2b.data_GATGACTGTAGCACGA-1", "d2b.data_GAGGCAATCTAGGCCG-1", "d2b.data_TCCCACATCAAAGGTA-1", "d2b.data_TCATTGTTCTTACACT-1", "d2b.data_AGCTACAAGTACAACA-1", "d2b.data_TCGAACACAGGTTCAT-1", "d2b.data_ACTATCTTCGCTAGCG-1", "d2b.data_TTTATGCCAACAGCCC-1", "d2b.data_AGGTTGTAGGCCCACT-1", "d2b.data_TTCACCGCAATAGGGC-1", "d2b.data_ACGTCCTAGTAACGTA-1", "d2b.data_CATCGCTCACGCTGCA-1", "d2b.data_CTCCACACAAATTGGA-1", "d2b.data_TTATTGCCACTCCGGA-1", "d2b.data_TTTGATCGTGGCTTGC-1", "d2b.data_ACCTACCCAATACGAA-1", "d2b.data_TGAGTCACAATCCTTT-1", "d2b.data_GTGTAACAGTATGGAT-1", "d2b.data_GATAGCTCAGCAGATG-1", "d2b.data_TGCTTGCTCTCGGTAA-1", "d2b.data_TGTTACTGTTAAGACA-1", "d2b.data_GATCACAAGTCATTGC-1", "d2b.data_TGTGTGACATTACGGT-1", "d2b.data_CTTTCGGGTGATACAA-1", "d2b.data_TTTATGCCAGCCATTA-1", "d2b.data_CTACCCAGTTTCCATT-1", "d2b.data_ACTACGATCCACAGCG-1", "d2b.data_AAGTCGTAGTTGCGCC-1", "d2b.data_CCGGACAGTATGAGAT-1", "d2b.data_CTACATTCACATGACT-1", "d2b.data_ATCGCCTTCGATTTCT-1", "d2b.data_GTCGTAAGTCTAATCG-1", "d2b.data_GCGTTTCAGCACGGAT-1", "d2b.data_GCACATACAGCTACCG-1", "d2b.data_CCTTGTGGTACCTAAC-1", "d2b.data_CAGCAATTCATTTGGG-1", "d2b.data_GCATCTCGTGGGCTCT-1", "d2b.data_CCTTGTGAGGAAAGGT-1", "d2b.data_CCTAAGAGTCCGTACG-1", "d2b.data_TCTAACTAGACTCGAG-1", "d2b.data_AGTAGCTGTTGAAGTA-1", "d2b.data_ATCGGCGCACGACGTC-1", "d2b.data_ACCTGAAGTGGTAACG-1", "d2b.data_CACTGGGCATCCGAAT-1", "d2b.data_AAAGGGCAGGAGGTTC-1", "d2b.data_TGTCCTGGTCAACCAT-1", "d2b.data_GGGCCATGTCATCAGT-1", "d2b.data_TTGTTCAGTCAGTCTA-1", "d2b.data_GGCTTTCGTAGATTAG-1", "d2b.data_CTGAGCGCAACAGCCC-1", "d2b.data_CAGGCCATCCCGAATA-1", "d2b.data_TTAGTCTGTCCAAATC-1", "d2b.data_CCTCTAGAGTCACGCC-1", "d2b.data_GAGTGAGGTGTCCGGT-1", "d2b.data_TCAAGCATCATGGCCG-1", "d2b.data_GCAGTTACACCTCTGT-1", "d2b.data_TGAACGTCAAAGCTCT-1", "d2b.data_ACCAACACAGTTAAAG-1", "d2b.data_TACAACGGTGTCTTAG-1", "d2b.data_GGGTGAACATCCTTCG-1", "d2b.data_GTAATCGCATGGAGAC-1", "d2b.data_CTCATTATCCAAGCTA-1", "d2b.data_AACCTGATCCGGACTG-1", "d2b.data_TTGTTCAAGATAACAC-1", "d2b.data_ATTATCCCACTCCGAG-1", "d2b.data_TCCGAAATCACCGGGT-1", "d2b.data_GATGAGGCATGACACT-1", "d2b.data_TCAGTGATCTATACTC-1", "d2b.data_GACTGATGTTAGGAGC-1", "d2b.data_TCCCACATCTCACGAA-1", "d2b.data_TCATGCCCATTAAAGG-1", "d2b.data_TTTACCAGTGAATAAC-1", "d2b.data_GATGAGGTCGTTCAGA-1", "d2b.data_CAGGTATCATTCTTCA-1", "d2b.data_CAATTTCGTCGAATGG-1", "d2b.data_GTGATGTAGGTAATCA-1", "d2b.data_CGTCCATTCCCGAGTG-1", "d2b.data_AGGGAGTCATGCAGGA-1", "d2b.data_AGGGTCCCAATAACCC-1", "d2b.data_TCAAGACGTATTGGCT-1", "d2b.data_GCAACATTCGTGCGAC-1", "d2b.data_CTTCAATGTTATGACC-1", "d2b.data_AAGTTCGGTTGTATGC-1", "d2b.data_GGAGATGAGTACCATC-1", "d2b.data_GAGGCAATCCGAGTGC-1", "d2b.data_TGCAGTACACCTATCC-1", "d2b.data_CCACCATAGAATCGCG-1", "d2b.data_TGTCCCATCCACGAAT-1", "d2b.data_TCACATTCAGGTCCCA-1", "d2b.data_CAACCTCGTAGATCGG-1", "d2b.data_CCTCCTCCACTGCTTC-1", "d2b.data_TCTCAGCCACAATGTC-1", "d2b.data_CTATCTACAAATAAGC-1", "d2b.data_CTCTCAGTCGCCGAAC-1", "d2b.data_CTCGAGGGTACCTATG-1", "d2b.data_TCATTTGGTGTCTCCT-1", "d2b.data_AGGTTGTTCACTGATG-1", "d2b.data_GAAGAATAGTGGCAGT-1", "d2b.data_AAGTACCCATCCAACA-1", "d2b.data_CATCGGGGTCCCGGTA-1", "d2b.data_ATTCGTTCATGAGAAT-1", "d2b.data_TTGCATTAGCGTCAGA-1", "d2b.data_GCCAGGTGTCGAAACG-1", "d2b.data_AGACAAAAGATACCAA-1", "d2b.data_TAACACGTCTTTCCAA-1", "d2b.data_CGTGATAAGATACCAA-1", "d2b.data_CTCACTGGTACGGTTT-1", "d2b.data_TATACCTGTCGTACAT-1", "d2b.data_TTGCTGCAGCTACGTT-1", "d2b.data_GCTTTCGCAATACCTG-1", "d2b.data_GTGGAAGGTCGACGCT-1", "d2b.data_TGTTGAGAGGAAGTAG-1", "d2b.data_TGCGGCACAACACGTT-1", "d2b.data_AAAGGGCCATACATCG-1", "d2b.data_TTATTGCGTTCAAACC-1", "d2b.data_GAGGGTACACATAACC-1", "d2b.data_CATGGATGTAGATTGA-1", "d2b.data_CACAGATGTCGCATCG-1", "d2b.data_GCCTGTTGTAGACAAT-1", "d2b.data_CTAACCCCAAGAGATT-1", "d2b.data_TTCATGTGTGTCATCA-1", "d2b.data_CTCCATGTCACCCATC-1", "d2b.data_TTTGATCGTCAACCAT-1", "d2b.data_GTTGAACCAATGGCAG-1", "d2b.data_ACAACCAGTTTCCCAC-1", "d2b.data_AGGGAGTCACGGGTAA-1", "d2b.data_GCTTCACAGCGACATG-1", "d2b.data_GGGCCATTCCGAGATT-1", "d2b.data_TTCCAATTCGCCAATA-1", "d2b.data_TCATACTTCATGCCAA-1", "d2b.data_TCTCACGCAAGGTACG-1", "d2b.data_TTCCTTCAGTAAGAGG-1", "d2b.data_TGATGCAAGGCCACTC-1", "d2b.data_CCGGACATCGCTAATG-1", "d2b.data_GGTCTGGCATCTAACG-1", "d2b.data_TTTGGAGGTGGTCCCA-1", "d2b.data_CCTACGTAGACAGCTG-1", "d2b.data_GAGACCCGTCGTTGGC-1", "d2b.data_GTAGGAGCAGTCGAGA-1", "d2b.data_AGTGATCAGCATTTCG-1", "d2b.data_CTTACCGCACTCATAG-1", "d2b.data_TAAGTCGCATATTCGG-1", "d2b.data_TGACGCGCATTACGGT-1", "d2b.data_AACCATGAGTGGATTA-1", "d2b.data_CCTAACCAGGCCTAGA-1", "d2b.data_ATCATTCAGGTAATCA-1", "d2b.data_GACACGCTCCATAGGT-1", "d2b.data_ATCCATTGTATCGGTT-1", "d2b.data_CTCATTAAGAAACCCG-1", "d2b.data_TCATTACGTAGTCCTA-1", "d2b.data_GAACGTTCACCCTAGG-1", "d2b.data_AGGTTACGTGCCCAGT-1", "d2b.data_ACCACAACACTTGACA-1", "d2b.data_GGGTGAATCAGCGTCG-1", "d2b.data_ACACGCGGTAACTTCG-1", "d2b.data_AGGCCACGTACGTGTT-1", "d2b.data_ACGGGTCGTACGCTTA-1", "d2b.data_CACCGTTAGCGACTTT-1", "d2b.data_TGATGGTGTACTCAAC-1", "d2b.data_ACGGGTCGTCCAGCGT-1", "d2b.data_ATCCCTGGTGGTCCGT-1", "d2b.data_CGCAGGTAGACCATGG-1", "d2b.data_ATGCCTCGTTTACCTT-1", "d2b.data_AGGCCACTCGGCTGTG-1", "d2b.data_TCAGCAAGTCGCAACC-1", "d2b.data_AGTACCAAGCCTCTTC-1", "d2b.data_AGGTCATCACGGATCC-1", "d2b.data_CATTGAGGTGGTCCGT-1", "d2b.data_CCTCAACTCAAGGCTT-1", "d2b.data_CAGCAATCAACTTGCA-1", "d2b.data_TCTTAGTGTCTCTCCA-1", "d2b.data_GCCATTCCATGTGGTT-1", "d2b.data_TCATCATGTCCAGCCA-1", "d2b.data_TTCGATTTCGAACGGA-1", "d2b.data_CTTCTCTTCGTCTACC-1", "d2b.data_TTTCGATAGTTGGCGA-1", "d2b.data_TGAGACTTCGAGCTGC-1", "d2b.data_GAGATGGGTGTATACC-1", "d2b.data_CTAACCCAGTGTTCCA-1", "d2b.data_ATCCCTGGTCACTCAA-1", "d2b.data_AATGCCAAGAATCGAT-1", "d2b.data_CGTAATGAGTATGTAG-1", "d2b.data_GTGCTGGGTATGTGTC-1", "d2b.data_AGGATAATCAAGGACG-1", "d2b.data_CCGTTCATCTTCACGC-1", "d2b.data_TGATCAGGTCATCGCG-1", "d2b.data_TCATTGTCAAATCAGA-1", "d2b.data_CTCCTTTAGAAATGGG-1", "d2b.data_TCTGTCGAGCATTTCG-1", "d2b.data_CGAGGAAGTAAGACCG-1", "d2b.data_TTGAGTGTCGAGCCTG-1", "d2b.data_TCAAGTGAGTTTGAGA-1", "d2b.data_TACTTCATCTGGAAGG-1", "d2b.data_CATCCACAGCTCACTA-1", "d2b.data_TGGATCAGTTACGATC-1", "d2b.data_AGACAAATCCGAGAAG-1", "d2b.data_TTAGGGTCAGACGATG-1", "d2b.data_TCAATCTGTCCCGCAA-1", "d2b.data_CAGAGCCTCACTGCTC-1", "d2b.data_ACGTCCTTCTTCTGGC-1", "d2b.data_CACGAATGTGGCGTAA-1", "d2b.data_GCTGGGTGTCTTCATT-1", "d2b.data_TACCCACCAAGTGTCT-1", "d2b.data_AGTCAACAGCCGAACA-1", "d2b.data_CGGTCAGGTGGTCCCA-1", "d2b.data_AGACAGGTCACCTCGT-1", "d2b.data_GTAGATCGTCTCACAA-1", "d2b.data_CCAATTTGTGAACCGA-1", "d2b.data_TGCACGGCAATACAGA-1", "d2b.data_TTGCATTCATATCGGT-1", "d2b.data_TTACGCCCATAACAGA-1", "d2b.data_CATCAAGCATTGCCTC-1", "d2b.data_TGCAGGCTCCATTTAC-1", "d2b.data_CAGCCAGAGTGCAAAT-1", "d2b.data_CTCCTTTCACGCTATA-1", "d2b.data_GTCTTTAGTTCGAACT-1", "d2b.data_CCTCAGTTCCATCGTC-1", "d2b.data_ATCGCCTTCATTTGTC-1", "d2b.data_TCCATCGGTCTGTTAG-1", "d2b.data_GTGTTAGGTACTCGAT-1", "d2b.data_GGTGTCGAGCCTCTCT-1", "d2b.data_TCTACCGTCCGCATAA-1", "d2b.data_ACCATTTAGCCATGCC-1", "d2b.data_ATAGAGACAATGTCAC-1", "d2b.data_AACCCAACATGACGTT-1", "d2b.data_GCTGAATGTAGCACAG-1", "d2b.data_GCTGAATCACCATATG-1", "d2b.data_TCTGCCAAGTGGTTAA-1", "d2b.data_AGTGACTGTTGCGTAT-1", "d2b.data_GTAACCACAATATCCG-1", "d2b.data_TATGTTCCATCAGCTA-1", "d2b.data_GCTACCTGTATGGTTC-1", "d2b.data_CAATGACAGTGAGTTA-1", "d2b.data_CACAACATCAGCGGAA-1", "d2b.data_TTTGTTGCAACAGCTT-1", "d2b.data_ATCACTTGTCTTGCGG-1", "d2b.data_CCACCATAGGACCCAA-1", "d2b.data_CACGTGGGTTAGAAAC-1", "d2b.data_CGTTGGGCACTCTCGT-1", "d2b.data_TACCTCGGTTCCGGTG-1", "d2b.data_AATGACCAGCAGTACG-1", "d2b.data_CCTCAACCACCAGACC-1", "d2b.data_CTATCCGCAGACACAG-1", "d2b.data_AATGGAACAGTGAGCA-1", "d2b.data_CCCTCAACACGACTAT-1", "d2b.data_TTACAGGGTTTGCCGG-1", "d2b.data_CGATGCGTCCCGAGAC-1", "d2b.data_TTAGGGTGTTCGGCTG-1", "d2b.data_GGTGATTAGCACCTGC-1", "d2b.data_CCCATTGGTAGTCACT-1", "d2b.data_GTATTGGGTATTGGCT-1", "d2b.data_AAGCATCAGGGATCAC-1", "d2b.data_GGTAACTTCCTACAAG-1", "d2b.data_AGGACTTAGTTGGACG-1", "d2b.data_CCACGAGAGTCGCGAA-1", "d2b.data_GTGTAACCAGCCGGTT-1", "d2b.data_TCCTCCCCACATATGC-1", "d2b.data_AACGAAATCCGTATGA-1", "d2b.data_CTCTCAGTCTGCTGAA-1", "d2b.data_GTAGCTATCACTGAAC-1", "d2b.data_TGATGCAGTTCCGCGA-1", "d2b.data_CACTGTCTCCCGAACG-1", "d2b.data_AGGTCATGTGGCTGAA-1", "d2b.data_CACTAAGAGCACCTGC-1", "d2b.data_GGGAAGTCACTGTGAT-1", "d2b.data_CGACAGCAGGATTACA-1", "d2b.data_AATGACCTCAGATTGC-1", "d2b.data_ACCTGTCCAGGCCCTA-1", "d2b.data_CAAAGAATCTCACTCG-1", "d2b.data_TTGTGTTTCAGTGTTG-1", "d2b.data_TCCTGCAAGATGCTAA-1", "d2b.data_CATTCATCAATTGAGA-1", "d2b.data_GATCCCTTCTGCCCTA-1", "d2b.data_CCGCAAGGTTCAAGGG-1", "d2b.data_CCTCCTCGTGTCATGT-1", "d2b.data_CATTGTTTCGCTCCTA-1", "d2b.data_AGCCACGGTTGGGAAC-1", "d2b.data_AGGGCTCTCGTCTCAC-1", "d2b.data_CTATAGGGTTCTGACA-1", "d2b.data_GTCGTAAAGTCGTTAC-1", "d2b.data_CGCATGGGTCCACATA-1", "d2b.data_TCGACCTAGCAACTCT-1", "d2b.data_GAACGTTAGTTTCGAC-1", "d2b.data_TTTAGTCAGGCTGAAC-1", "d2b.data_ATTACCTAGTCTGGTT-1", "d2b.data_AGGCCACTCGAAGCAG-1", "d2b.data_TTAGTCTGTACTCCGG-1", "d2b.data_TGGTGATAGCAGTCTT-1", "d2b.data_ATGTCCCAGCGAGTCA-1", "d2b.data_CCTCACATCTCATGGA-1", "d2b.data_ATTGTTCAGATTAGCA-1", "d2b.data_TCCCACACACTAAACC-1", "d2b.data_TTTACGTAGGTTACCT-1", "d2b.data_CGAAGGACACGGTCTG-1", "d2b.data_AGAACCTAGTCTTCGA-1", "d2b.data_CCTCATGTCTGTTCAT-1", "d2b.data_AAGAACACACTCCGAG-1", "d2b.data_AAGGTAAAGACCTGGA-1", "d2b.data_AGCTTCCAGAGGTGCT-1", "d2b.data_ACCCTCAAGGAACGTC-1", "d2b.data_GGAGAACTCATACGGT-1", "d2b.data_AACCTGAAGCCTCTCT-1", "d2b.data_CCATCACCACGTACTA-1", "d2b.data_ATGACCAGTTATGACC-1", "d2b.data_AGGGAGTGTTTCTATC-1", "d2b.data_CTGGACGCATCTAGAC-1", "d2b.data_AAAGTGATCTTCCCAG-1", "d2b.data_TACTGCCAGCACACCC-1", "d2b.data_TTGATGGGTAAGTTAG-1", "d2b.data_TGATGCACATGACTAC-1", "d2b.data_AGACACTGTTCTCCAC-1", "d2b.data_TACCCGTTCACACCGG-1", "d2b.data_TGGTACAGTATCTTCT-1", "d2b.data_TTTGGTTTCTACACAG-1", "d2b.data_TATTCCACATAATGCC-1", "d2b.data_ACGTAGTCAAGCGATG-1", "d2b.data_ACCATTTTCAAACCCA-1", "d2b.data_CAACAGTTCACACGAT-1", "d2b.data_GCACGGTGTATCGCGC-1", "d2b.data_CTGCATCGTCGACTGC-1", "d2b.data_CACAGGCAGAGTCACG-1", "d2b.data_GCAGTTATCCGTAGTA-1", "d2b.data_ACGTAGTTCTACTGCC-1", "d2b.data_CATCAAGCAATACGAA-1", "d2b.data_AGTGACTTCATGGTAC-1", "d2b.data_TAGACTGGTTCCACAA-1", "d2b.data_AGTTCCCGTTTAGACC-1", "d2b.data_AAGCGTTGTCCGGCAT-1", "d2b.data_CGAGGAAGTGTTCAGT-1", "d2b.data_TGGTACACAACCGCCA-1", "d2b.data_AATGCCACACATAGCT-1", "d2b.data_ATAGAGAAGGAGGTTC-1", "d2b.data_GTAAGTCCAGTATGAA-1", "d2b.data_GACCCTTCAAGTGGAC-1", "d2b.data_CTGGACGGTCGTCAGC-1", "d2b.data_TACCGGGTCGTTAGTG-1", "d2b.data_GACCAATGTTCCAGGC-1", "d2b.data_TCGGGACTCCAGGACC-1", "d2b.data_AAGACTCCAGCCTACG-1", "d2b.data_CATAGACAGCAACAAT-1", "d2b.data_CTCCGATGTCGCTGCA-1", "d2b.data_ATCCCTGGTCAGGAGT-1", "d2b.data_GTTGCGGAGACGCCAA-1", "d2b.data_GTAATGCCACACCAGC-1", "d2b.data_GTGACGCCACACACGC-1", "d2b.data_CTCATCGTCACCCTCA-1", "d2b.data_AACGTCAAGGTGATCG-1", "d2b.data_GCACGGTGTAGCCCTG-1", "d2b.data_AAGCCATGTTGTCCCT-1", "d2b.data_CCTCAACAGTTCCAGT-1", "d2b.data_ACTTTCACATAAGCAA-1", "d2b.data_AATCGTGCACTAAACC-1", "d2b.data_TCCCACACATCCTTCG-1", "d2b.data_GAGTGTTAGAAACACT-1", "d2b.data_ACATCGAGTCTCAAGT-1", "d2b.data_TCAATTCGTAGAAACT-1", "d2b.data_AACTTCTAGGTCACTT-1", "d2b.data_ATGAAAGCAGTCTTCC-1", "d2b.data_GATGACTGTGAATATG-1", "d2b.data_AACCTTTGTGTTCAGT-1", "d2b.data_TCAGCAACATGCTGCG-1", "d2b.data_TCATTCATCTTCCTAA-1", "d2b.data_GGCACGTAGCGAATGC-1", "d2b.data_CAGTTCCCACATGGTT-1", "d2b.data_TTCTCTCTCGTGACTA-1", "d2b.data_TTATTGCGTCGCAACC-1", "d2b.data_CTACTATTCTAGAACC-1", "d2b.data_GCCATTCAGGAACGAA-1", "d2b.data_CCGTTCATCCGCAGTG-1", "d2b.data_TCCGAAAGTTAATGAG-1", "d2b.data_GAAGTAAGTCTACAGT-1", "d2b.data_ATTCACTGTCGCATCG-1", "d2b.data_GTAAGTCCAAAGCTCT-1", "d2b.data_ATGGGAGGTGTGTGTT-1", "d2b.data_CATTGCCCACAGCTGC-1", "d2b.data_TGGTAGTTCATTCACT-1", "d2b.data_AATCGACGTAGAGTTA-1", "d2b.data_TCCGAAAAGTTCATCG-1", "d2b.data_TACATTCAGAGACAAG-1", "d2b.data_GACTCTCCAAGATGTA-1", "d2b.data_GATGGAGCACTGAGTT-1", "d2b.data_CACGGGTTCGCCAGAC-1", "d2b.data_AGCTCAAAGTCATGGG-1", "d2b.data_AGAAATGGTCCCGCAA-1", "d2b.data_GACCCAGGTGGCTGCT-1", "d2b.data_GAATCACCACTCGATA-1", "d2b.data_CCATAAGGTGATGGCA-1", "d2b.data_CGGGACTGTCTCAGGC-1", "d2b.data_GGAGGTAAGCTCCATA-1", "d2b.data_GGGAGTAGTGACAACG-1", "d2b.data_TAAGCACGTAGCACGA-1", "d2b.data_GGTAATCGTATCACGT-1", "d2b.data_CCTTGTGTCATCACCC-1", "d2b.data_GGGATGAGTGTGTCCG-1", "d2b.data_ACGGTCGGTTTGAACC-1", "d2b.data_AGAGAATGTCAAAGTA-1", "d2b.data_TGCGGCATCTCCTGCA-1", "d2b.data_TCCGAAACATATGCGT-1", "d2b.data_CACGTTCCACCGAATT-1", "d2b.data_GCACTAATCTTAGGAC-1", "d2b.data_TGTTGAGTCCACGAAT-1", "d2b.data_CCACAAATCAACTGGT-1", "d2b.data_TCGGGCACATCATCCC-1", "d2b.data_TTACCATTCATTCCTA-1", "d2b.data_CGAGTTATCCCTTTGG-1", "d2b.data_GACTCAACATGTTACG-1", "d2b.data_GCCAACGGTCTACGTA-1", "d2b.data_ACATTTCCAAGCCCAC-1", "d2b.data_ACTTCGCTCCTGCTAC-1", "d2b.data_ACTTCGCCAGATACCT-1", "d2b.data_TGGAACTGTATCCTCC-1", "d2b.data_TAGACTGAGCTGCGAA-1", "d2b.data_ATCCTATTCAGGACGA-1", "d2b.data_TTCCTCTGTCTTGCGG-1", "d2b.data_CTCTCGACATTCTCCG-1", "d2b.data_TCCTTCTGTGTGTCCG-1", "d2b.data_CTCCAACCACATCCCT-1", "d2b.data_GACTCTCCAACGGGTA-1", "d2b.data_ATCTCTAGTTCCTAAG-1", "d2b.data_CGGAATTTCAAGCCAT-1", "d2b.data_ATTCATCGTCCTGTTC-1", "d2b.data_CTTCTCTAGCCTTGAT-1", "d2b.data_TGTAACGTCTATTCGT-1", "d2b.data_CGTAATGTCTCATTTG-1", "d2b.data_CCAATGAAGGATTTGA-1", "d2b.data_ACCCTCAAGCTGAAGC-1", "d2b.data_AGTAGTCAGGCTAACG-1", "d2b.data_TAATCTCCATACCACA-1", "d2b.data_TCACGCTCAGAGAATT-1", "d2b.data_GTGGTTACAACAACAA-1", "d2b.data_GCCAGGTTCCACACCT-1", "d2b.data_CATACTTGTTAATCGC-1", "d2b.data_TCCCACACAGCAGATG-1", "d2b.data_TCCGATCCAGGCTATT-1", "d2b.data_CCACACTCACTACCCT-1", "d2b.data_TGGATGTTCGACGCTG-1", "d2b.data_AATCGACGTTGGTACT-1", "d2b.data_GGAACCCAGTTCCGTA-1", "d2b.data_AATGGCTTCAGGTGTT-1", "d2b.data_TCTCTGGTCGCTCATC-1", "d2b.data_AACGAAAAGAGGATCC-1", "d2b.data_CAGTTCCTCTCGGCTT-1", "d2b.data_GTAGAGGAGCCTCAGC-1", "d2b.data_TTACGCCCAAGAGAGA-1", "d2b.data_ATTCCATAGTCTAGCT-1", "d2b.data_AAACGAAAGTGAACAT-1", "d2b.data_CACCGTTGTACCCGAC-1", "d2b.data_GAATCGTAGCTAAACA-1", "d2b.data_GCCCAGAAGACTCAAA-1", "d2b.data_GTAGTACCAATCGAAA-1", "d2b.data_ATACTTCCAGTGAGCA-1", "d2b.data_TTACCATTCATTGAGC-1", "d2b.data_CCCTCTCGTACACTCA-1", "d2b.data_CATCAAGGTATGACAA-1", "d2b.data_TGCCGAGGTCGCACAC-1", "d2b.data_GTATTGGAGGACTATA-1", "d2b.data_AAGCATCCACAGCCTG-1", "d2b.data_CAGCCAGGTGTCTTCC-1", "d2b.data_CGAGGCTAGTAGGGTC-1", "d2b.data_GCACATATCGAATCCA-1", "d2b.data_AAAGTCCCAGCATTGT-1", "d2b.data_CATGCAACAAGAGGTC-1", "d2b.data_CTGTATTAGGATGAGA-1", "d2b.data_GACCAATTCGCAGAGA-1", "d2b.data_AGCCAGCCACTTCCTG-1", "d2b.data_GCTTCACAGCGCGTTC-1", "d2b.data_AGTTCCCCACGTCTCT-1", "d2b.data_CGAGGAAAGGCGACAT-1", "d2b.data_GTTATGGAGTGCAAAT-1", "d2b.data_GCTTCACCATAAGCAA-1", "d2b.data_GGGTGAAAGGAACGAA-1", "d2b.data_GGAATCTCAGCATCTA-1", "d2b.data_AGACTCATCCCTAGGG-1", "d2b.data_CCAAGCGAGGACGCTA-1", "d2b.data_ATCCCTGAGGTACATA-1", "d2b.data_TAGACTGGTGGAAATT-1", "d2b.data_CAGGTATGTACCATAC-1", "d2b.data_CCACTTGCAGAATCGG-1", "d2b.data_TTCCACGCAACAGATA-1", "d2b.data_GTGGTTACATAGAATG-1", "d2b.data_CTAACTTTCAAGCTGT-1", "d2b.data_TTACTGTCATAGACTC-1", "d2b.data_CCGATCTTCCTACGGG-1", "d2b.data_ACTGTCCTCACCGGGT-1", "d2b.data_TACCTGCCAGCCGGTT-1", "d2b.data_TGGGATTCACTGTGTA-1", "d2b.data_CACAGGCCACTCTCGT-1", "d2b.data_CCGATCTTCTTCGTAT-1", "d2b.data_TCATGTTAGCACTCAT-1", "d2b.data_TGCGGCACACTTGTCC-1", "d2b.data_CTGTGAAAGTCATCCA-1", "d2b.data_TGTGAGTCACTGCGAC-1", "d2b.data_CTAGACACACTCATAG-1", "d2b.data_CTAAGTGCATTCAGGT-1", "d2b.data_CTGTACCAGCGAACTG-1", "d2b.data_AGTACTGCACTCCGGA-1", "d2b.data_TCCATGCAGCAGGCTA-1", "d2b.data_TCCCACATCTGGACTA-1", "d2b.data_GATGGAGCAGCTGTGC-1", "d2b.data_ATCACTTCAACGTTAC-1", "d2b.data_TGGATGTAGCAATTCC-1", "d2b.data_GCAACATCAAGACGGT-1", "d2b.data_CACCAAACAACGACAG-1", "d2b.data_GTATTTCCACGGTGCT-1", "d2b.data_TCTCACGCAGTTGTCA-1", "d2b.data_TACTTACCAATAGTGA-1", "d2b.data_ACAAGCTGTTATTCCT-1", "d2b.data_CTCTCAGTCCACTAGA-1", "d2b.data_TCCACCAAGTAATACG-1", "d2b.data_GGAATCTCAATCGCCG-1", "d2b.data_CATCCCACATACAGCT-1", "d2b.data_GTAATGCCACTCTAGA-1", "d2b.data_CTTCCGAGTTTCCATT-1", "d2b.data_AAGCGTTGTACGGTTT-1", "d2b.data_GAGACCCGTCAGTCGC-1", "d2b.data_TTGTTCACAAATGAGT-1", "d2b.data_AATGCCATCGAGCCAC-1", "d2b.data_TTGCATTAGTAGAGTT-1", "d2b.data_ATGACCACATGGAATA-1", "d2b.data_ACACAGTTCTACCAGA-1", "d2b.data_TAGGGTTAGGAGAGTA-1", "d2b.data_AAGCGAGTCTTCCAGC-1", "d2b.data_CCCTCAAGTAAGATAC-1", "d2b.data_AATGAAGAGCAATTCC-1", "d2b.data_ATTATCCGTTTACTTC-1", "d2b.data_CTAACTTCACAATGTC-1", "d2b.data_ATGGAGGCAGGAAGTC-1", "d2b.data_ACATCCCAGACTCAAA-1", "d2b.data_ATGGTTGAGCTGCCAC-1", "d2b.data_CTAAGTGGTGTCCACG-1", "d2b.data_GAAACCTCACTGCACG-1", "d2b.data_CCAAGCGCAGACAATA-1", "d2b.data_CTTCTCTAGTAGAATC-1", "d2b.data_TCACACCGTAGGACCA-1", "d2b.data_GCATCTCCACTCATAG-1", "d2b.data_CTGTACCTCTGACCCT-1", "d2b.data_AGTACTGGTAGCTGAG-1", "d2b.data_GGGCCATCATAGAAAC-1", "d2b.data_CTTCCTTCAATCTCGA-1", "d2b.data_CTCCACATCGCTGTTC-1", "d2b.data_CCCTTAGAGAGCAGCT-1", "d2b.data_TACGGTAGTGTGATGG-1", "d2b.data_AGATCCAGTCGATGCC-1", "d2b.data_AGCGCCAAGCGTTCCG-1", "d2b.data_CACTGTCGTTGTTTGG-1", "d2b.data_CTACTATGTTCCTAAG-1", "d2b.data_TGGATCACATCTATCT-1", "d2b.data_TTACCATTCAACTACG-1", "d2b.data_TTAGGCAAGACCATTC-1", "d2b.data_AGCTCAAGTAACGCGA-1", "d2b.data_TAGAGTCTCGTGCTCT-1", "d2b.data_CTGGTCTCAAGTGGCA-1", "d2b.data_TCTCACGGTATCCTTT-1", "d2b.data_TGTTGGACAAGCTGTT-1", "d2b.data_ACTGTCCTCGTCTCAC-1", "d2b.data_CTACGGGCATTGTAGC-1", "d2b.data_GGCACGTCAAATTGCC-1", "d2b.data_GCTACCTCAGCCTTCT-1", "d2b.data_ACTATTCGTAGGTACG-1", "d2b.data_TTGAGTGAGCTAGAGC-1", "d2b.data_ACAGAAACAGACACCC-1", "d2b.data_TTCAGGAAGCAGAAAG-1", "d2b.data_GTTAGTGAGGACCCAA-1", "d2b.data_TGGATCACAGGGAATC-1", "d2b.data_GACCTTCGTTCGTTCC-1", "d2b.data_TAATCTCGTACAGTTC-1", "d2b.data_CCACTTGGTTTCCAAG-1", "d2b.data_AACACACCAGGTTCGC-1", "d2b.data_ATCGTCCAGATTTGCC-1", "d2b.data_CTCCTTTAGTTTCGAC-1", "d2b.data_TCATGGAAGTAGCAAT-1", "d2b.data_TGTCCACAGAATCCCT-1", "d2b.data_TTTATGCTCATAAGGA-1", "d2b.data_ATCACTTCACGAGGAT-1", "d2b.data_GACAGCCTCGACCCAG-1", "d2b.data_GGTTGTATCATCCTAT-1", "d2b.data_CGTGCTTGTTCTAAGC-1", "d2b.data_TACCCGTTCTGGCCAG-1", "d2b.data_GGGCTCAAGACGATAT-1", "d2b.data_ATCCACCCATACGCAT-1", "d2b.data_AAAGTCCAGTATTGCC-1", "d2b.data_CCTCCTCGTCAGATTC-1", "d2b.data_GATTCGATCGTAGGAG-1", "d2b.data_CATCCCAAGGCAGGTT-1", "d2b.data_ACGTACACAATGTGGG-1", "d2b.data_TCATGGACAACCAACT-1", "d2b.data_TCCTCTTGTCAAACGG-1", "d2b.data_GAGATGGGTACACTCA-1", "d2b.data_ACTGTCCGTACGGGAT-1", "d2b.data_TAACGACCAGACCTGC-1", "d2b.data_TTTGTTGCATCCTATT-1", "d2b.data_TCTTAGTTCGAACTCA-1", "d2b.data_GCCCGAATCTCGCCTA-1", "d2b.data_CTGGACGTCTCAACGA-1", "d2b.data_GCAGTTACATCCTTGC-1", "d2b.data_CGTGCTTAGCCGATCC-1", "d2b.data_AACCATGCATGGTACT-1", "d2b.data_GCTACCTGTGGCGTAA-1", "d2b.data_CTATCCGCACAGTCGC-1", "d2b.data_CTGGTCTCATCCGATA-1", "d2b.data_TTGGGCGGTCGTGCCA-1", "d2b.data_CATCGGGCACAAGGTG-1", "d2b.data_TCCTCTTAGACTTCGT-1", "d2b.data_GGGAGATTCCAACTAG-1", "d2b.data_GAATCGTGTGAATAAC-1", "d2b.data_CCGGTGAAGGGATGTC-1", "d2b.data_AACGTCACAAATGCTC-1", "d2b.data_GGCTTTCCATGACAAA-1", "d2b.data_CCTCTAGTCACCTCTG-1", "d2b.data_GCGTTTCTCACACGAT-1", "d2b.data_CAACGATAGTCGGCAA-1", "d2b.data_CCGGTAGCAATGGCCC-1", "d2b.data_GAGACCCGTTCCGGTG-1", "d2b.data_TGTGTGACAGGCATGA-1", "d2b.data_TAATTCCCAGCCCACA-1", "d2b.data_GCTACCTTCAGAATAG-1", "d2b.data_CATTCCGGTCGCAGTC-1", "d2b.data_CCTGCATCAATCTCTT-1", "d2b.data_GAGACCCCACGGCACT-1", "d2b.data_TTCATTGCATGCAGCC-1", "d2b.data_AGATAGAGTATACCTG-1", "d2b.data_CCTCACATCAGGACGA-1", "d2b.data_CATCCGTGTGACACAG-1", "d2b.data_CTCAACCAGTCCCAGC-1", "d2b.data_CTACGGGGTCCAAATC-1", "d2b.data_TTGCCTGTCTGTTGGA-1", "d2b.data_TTGTTTGGTACCGTCG-1", "d2b.data_CATTCTATCTTCGTAT-1", "d2b.data_TGAGTCACACTTCCTG-1", "d2b.data_CTACGGGTCTAACGCA-1", "d2b.data_GCCATTCGTCGAAGCA-1", "d2b.data_GGCACGTCAGCATTGT-1", "d2b.data_TGTGAGTGTGCGCTCA-1", "d2b.data_ACTATCTCATTCTTCA-1", "d2b.data_TTCCTCTAGGTTTACC-1", "d2b.data_TTACGTTCAGAGTAAT-1", "d2b.data_TACCCACGTCATGCAT-1", "d2b.data_CTGATCCCACTGCACG-1", "d2b.data_TCAATCTGTTATTCCT-1", "d2b.data_GCATCTCCATGGGAAC-1", "d2b.data_ACATCCCCATCTGTTT-1", "d2b.data_AGTAACCGTTACCCTC-1", "d2b.data_CATACAGGTTACACTG-1", "d2b.data_TCATACTGTCTAGGCC-1", "d2b.data_GAGACCCAGCAAGGAA-1", "d2b.data_AGGTCTAGTGGTCTTA-1", "d2b.data_GAGCTGCTCAAGGACG-1", "d2b.data_TCGACCTCAGCTACTA-1", "d2b.data_TTCCGTGCATCGCTCT-1", "d2b.data_CTTTCGGAGACCTGGA-1", "d2b.data_GACCCTTGTTTCGTAG-1", "d2b.data_AACGGGAGTAAGTAGT-1", "d2b.data_GCATCGGCACTTCCTG-1", 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UMAP2=%{y}
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"iM.data_TAACCAGCAAGGCGTA-1", "iM.data_AATCACGGTAATTAGG-1", "iM.data_AATAGAGTCCTTCAGC-1", "iM.data_ACCTGTCGTGCCTATA-1", "iM.data_TATTGGGGTGGGATTG-1", "iM.data_TTGCGTCTCTGCTTAT-1", "iM.data_GTCGTAATCGAGGCAA-1", "iM.data_TGTAACGAGTGGTTGG-1", "iM.data_TGTGCGGTCAGAGCAG-1", "iM.data_CTGGACGTCAGCTTGA-1", "iM.data_TCCGTGTCACGAAAGC-1", "iM.data_AAGATAGAGTCTGCAT-1", "iM.data_TGGAGGAGTTTGTGGT-1", "iM.data_GGAGATGGTCTTCATT-1", "iM.data_TTCGGTCCAGAATCGG-1", "iM.data_CGGAATTCAGCGTTTA-1", "iM.data_GTCGTTCGTGGTCAAG-1", "iM.data_TAGATCGTCTCACGAA-1", "iM.data_GTGTTCCAGCTACAAA-1", "iM.data_TTGGGCGTCTGTTGGA-1", "iM.data_GTGTGATAGCGACATG-1", "iM.data_GTGCTGGAGCTGAGTG-1", "iM.data_GTCGAATAGATCGCTT-1", "iM.data_TGAGGAGAGCCTGCCA-1", "iM.data_GGGTTATTCTATACGG-1", "iM.data_AGAACCTTCGGAGATG-1", "iM.data_GTTACAGAGTTGGACG-1", "iM.data_GAATCGTGTCCCAAAT-1", "iM.data_ATCACTTAGAGAATCT-1", "iM.data_CTCCCTCCAACGGGTA-1", "iM.data_TGCTTGCGTCATGGCC-1", "iM.data_CGCATGGCAACCGCTG-1", "iM.data_TAACTTCGTAGCGATG-1", "iM.data_CTCATCGGTTGTGGCC-1", "iM.data_TCGTGCTTCCTGTAGA-1", "iM.data_TCAAGACGTTATGTGC-1", "iM.data_AAGATAGAGGTGCTTT-1", "iM.data_GCGTGCAGTGGTTTGT-1", "iM.data_TCACTATAGAATCGCG-1", "iM.data_TGTTTGTAGAGTTCGG-1", "iM.data_TGCACGGTCTAAACGC-1", "iM.data_ATGGGAGAGTCCTGCG-1", "iM.data_GCATGATAGGCTAACG-1", "iM.data_CTGAGGCGTAATGCGG-1", "iM.data_CTCTCAGAGTAGGTTA-1", "iM.data_AGAAGCGGTATCGGTT-1", "iM.data_CCTATCGCATGAGGGT-1", "iM.data_CTGCATCGTTGGAGAC-1", "iM.data_CACCGTTGTAAGGTCG-1", "iM.data_TCAGGTAAGTAAATGC-1", "iM.data_ATCTCTAAGTGTGTTC-1", "iM.data_CGAGTTACACATCCCT-1", "iM.data_GTTGTAGGTTATGTGC-1", "iM.data_TCAAGACTCTACTGAG-1", "iM.data_TTTAGTCTCTGTGCAA-1", "iM.data_CGTAGTAAGCCACCGT-1", "iM.data_TCAAGCATCCATAGAC-1", "iM.data_GGAGAACCATACCAGT-1", "iM.data_GTTCTATCAATTGAAG-1", "iM.data_GCGATCGGTGAACCGA-1", "iM.data_CATCCGTAGAGCCGAT-1", "iM.data_CGTTCTGTCGTGTGGC-1", "iM.data_CGATGGCCACCGAATT-1", "iM.data_CACACAAAGTATGAAC-1", "iM.data_GGGAAGTGTTGTGGAG-1", "iM.data_GTGTAACCATTGAAGA-1", "iM.data_CCTTCAGAGTCGAGGT-1", "iM.data_ATTTCACCATTCCTAT-1", "iM.data_CACTTCGAGAACGTGC-1", "iM.data_ACGTAGTGTTCCACGG-1", "iM.data_TTTCAGTGTCTTCAAG-1", "iM.data_GAATAGACAGCTCTGG-1", "iM.data_AAAGTGATCCGTGTAA-1", "iM.data_ATCGGATTCCTTTAGT-1", "iM.data_ACTATTCGTTAATCGC-1", "iM.data_AAGACAAAGTCATCGT-1", "iM.data_GATGGAGCAGTAGAGC-1", "iM.data_CCTCCAAGTGTATACC-1", "iM.data_AGGGCTCAGACAACAT-1", "iM.data_ACTATCTAGGTTAAAC-1", "iM.data_TCATGGAAGCCGTCGT-1", "iM.data_TCTGGCTAGGAGGGTG-1", "iM.data_CGGGTGTGTCACAGTT-1", "iM.data_ATCGTCCCAGTCCGTG-1", "iM.data_GCCATGGAGGATACAT-1", "iM.data_CCTGCATCATTCTGTT-1", "iM.data_AGATCGTAGGGTACGT-1", "iM.data_TGTTCCGAGTACGAGC-1", "iM.data_CCACGAGGTATACGGG-1", "iM.data_ATATCCTGTCGTGGTC-1", "iM.data_GAGTTGTAGGCACCAA-1", "iM.data_CGATGCGGTCTGGTTA-1", "iM.data_TCGTAGATCCATCCGT-1", "iM.data_ACCTGAACACGTGAGA-1", "iM.data_TATCTTGAGCCTTCTC-1", "iM.data_AGGAAATTCCCAGCGA-1", "iM.data_TCGGTCTTCATTACTC-1", "iM.data_AACACACGTGATAGAT-1", "iM.data_TGTCCCAGTGGTCAAG-1", "iM.data_ATTACCTTCCATACAG-1", "iM.data_AGGTTGTGTGAACGGT-1", "iM.data_TCACACCAGAAGGCTC-1", "iM.data_CGTCAAACATATTCGG-1", "iM.data_ACAAAGAAGCCGAACA-1", "iM.data_CAATCGAAGGCATCGA-1", "iM.data_GCATCGGGTGGATGAC-1", "iM.data_GCATTAGAGATACATG-1", "iM.data_GGGTCTGGTCTGCATA-1", "iM.data_CACAGGCGTCGAATGG-1", "iM.data_TATCGCCAGCGTCGAA-1", "iM.data_GTCTACCCAACGACAG-1", "iM.data_TCAAGCAAGTGGTTCT-1", "iM.data_GCGATCGAGGTGATCG-1", "iM.data_TCGATTTAGAAGGTAG-1", "iM.data_GGGTGTCGTGGAACCA-1", "iM.data_GGGAGTATCCTTTAGT-1", "iM.data_GTTCGCTGTAACGTTC-1", "iM.data_ACGGGTCGTGCATACT-1", "iM.data_GGTGATTAGAAGTCTA-1", "iM.data_CAAAGAAGTCATAAAG-1", "iM.data_TACCTCGGTGTCCAAT-1", "iM.data_GTGGAGAGTCGTGATT-1", "iM.data_TAGGTTGAGCTGTACT-1", "iM.data_TGACAGTCATACAGCT-1", "iM.data_TCCGGGATCAAATAGG-1", "iM.data_ACTCCCAGTACGTGAG-1", "iM.data_TCGCTTGCACAGCCTG-1", "iM.data_TTTCACAAGATAGTGT-1", "iM.data_GAGTTGTGTTCCGCTT-1", "iM.data_CATTGAGGTAACGGTG-1", "iM.data_AGAGCAGGTCTGGTTA-1", "iM.data_TCTCAGCAGGCCTTGC-1", "iM.data_GAATCGTTCATTACTC-1", "iM.data_GTCGCGACACAGCCTG-1", "iM.data_TTTCACAAGCCGCTTG-1", "iM.data_TCACACCAGGTCGTAG-1", "iM.data_ACCGTTCTCGTGTTCC-1", "iM.data_GATTCTTCACCTGTCT-1", "iM.data_CAACGGCCAGCGTTGC-1", "iM.data_GTGGAAGGTAGCCAGA-1", "iM.data_TTCCAATTCGGCACTG-1", "iM.data_AGGGCTCTCTGAGGCC-1", "iM.data_AGAGAGCGTGGATACG-1", "iM.data_ATCGTAGGTCCATAGT-1", "iM.data_GCCAACGTCGGTGCAC-1", "iM.data_AGAAGCGTCCGCACGA-1", "iM.data_CATTCATGTTAGGGAC-1", "iM.data_CATAAGCCAGGTGTTT-1", "iM.data_ATCGTGACACTCAGAT-1", "iM.data_TCTGTCGGTAATACCC-1", "iM.data_CTACCTGTCAGTGTGT-1", "iM.data_AGGAGGTCAGAGGTAC-1", "iM.data_CCTCCAAAGTCGGCCT-1", "iM.data_TTGTTCAGTCGAGTTT-1", "iM.data_AGGTTGTGTGTTACTG-1", "iM.data_AGATCGTGTGTCACAT-1", "iM.data_TCCGTGTGTGACTAAA-1", "iM.data_AGGAAATTCCCTGGTT-1", "iM.data_TCGAAGTAGAGAACCC-1", "iM.data_TCGTGGGCAGGTGGAT-1", "iM.data_GGAGGTAAGTGTTGTC-1", "iM.data_TCGCAGGTCGCTCCTA-1", "iM.data_AAGTGAAAGATGACCG-1", "iM.data_CGTAAGTGTAACTGCT-1", "iM.data_CGTGAATTCCACTGGG-1", "iM.data_AGGGTGAGTGTCCACG-1", "iM.data_TCAGGGCAGGCCATAG-1", "iM.data_TTTCCTCTCTCATTTG-1", "iM.data_GACTTCCCAGTCCGTG-1", "iM.data_TCTGCCATCACAAGAA-1", "iM.data_TTACCATGTCAGTCCG-1", "iM.data_ATGGAGGTCAATGTCG-1", "iM.data_TGTAACGAGGATATGT-1", "iM.data_TCTTTGACAAGAGTGC-1", "iM.data_GCAACATGTGCCGTTG-1", "iM.data_TGTTCATTCAGTGCGC-1", "iM.data_GCTACCTGTTAAGGAT-1", "iM.data_TTTAGTCGTGATAGTA-1", "iM.data_TGATGCAGTTCATCGA-1", "iM.data_ATACCGAGTATCGTAC-1", "iM.data_TCATATCGTTTGTGGT-1", "iM.data_GTGGAGAGTAGTTACC-1", "iM.data_GATAGAAAGGCTTCCG-1", "iM.data_AGACAAAAGGTAGTCG-1", "iM.data_CGGGCATAGTCTTCCC-1", "iM.data_AAGTCGTGTTTCAGAC-1", "iM.data_TTACCATAGACATGCG-1", "iM.data_AGAAGTAGTGCTCGTG-1", "iM.data_ACTTCGCCAAGAGATT-1", "iM.data_GTCACTCAGAGGTTTA-1", "iM.data_GCCAGGTAGTGCTCAT-1", "iM.data_GTTAGTGAGGGTACAC-1", "iM.data_GCGTGCAGTGAATGAT-1", "iM.data_CGTGAATTCTGACAGT-1", "iM.data_ATCCGTCGTAGTTCCA-1", "iM.data_GTTCCGTTCTAGATCG-1", "iM.data_CTCAGGGCAGTCGAGA-1", "iM.data_ATTACCTCATGACGGA-1", "iM.data_CTGGTCTTCATGGAGG-1", "iM.data_GGCACGTTCTTCGGTC-1", "iM.data_CTGTATTCACTTTAGG-1", "iM.data_GAGATGGGTGGAATGC-1", "iM.data_CATTTCAGTTCCTAAG-1", "iM.data_CTGTGGGAGAATGTTG-1", "iM.data_TCTCACGGTAGACGTG-1", "iM.data_GTGGTTATCAGTGTCA-1", "iM.data_TGAGGGAAGGCTAACG-1", "iM.data_TATCTGTTCCTCAGGG-1", "iM.data_TTATTGCAGAAGTCTA-1", "iM.data_TTGTTGTGTGTGTCGC-1", "iM.data_TGAGGGAGTTGAAGTA-1", "iM.data_TCGTGGGGTTTACTGG-1", "iM.data_CAGGGCTAGCTAAATG-1", "iM.data_ACGTAGTAGGTAAACT-1", "iM.data_TCTCACGGTGAATAAC-1", "iM.data_GGTAACTAGATGAAGG-1", "iM.data_TATACCTGTGGATTTC-1", "iM.data_AACAAAGCAAGACAAT-1", "iM.data_CATCGTCAGTCATCCA-1", "iM.data_TGTTGGAGTTGCCTAA-1", "iM.data_GACCAATAGTTGGCTT-1", "iM.data_GAGCCTGGTAGTCGTT-1", "iM.data_CCACCATCAAGAGAGA-1", "iM.data_GAGACCCTCTATCGGA-1", "iM.data_GGGTTTAGTAGCGTTT-1", "iM.data_CAGCAATGTGCAACGA-1", "iM.data_GACTCTCCAGTATACC-1", "iM.data_CCGTTCAAGTGCCCGT-1", "iM.data_GGCGTCATCCATATGG-1", "iM.data_TCATGCCTCGCAAGAG-1", "iM.data_GGGCTACAGCCGATAG-1", "iM.data_ATCACGACAACCGTGC-1", "iM.data_AGCCACGCATCAGCGC-1", "iM.data_GTCTTTATCGCTACGG-1", "iM.data_TACAACGAGTAACAGT-1", "iM.data_CATGCTCAGTTTGGCT-1", "iM.data_CCCTAACTCGACGACC-1", "iM.data_ATCCTATAGGTCGTGA-1", "iM.data_AAACGAATCGCGGTAC-1", "iM.data_TTCCGGTCATGCAGCC-1", "iM.data_TTGGTTTAGTAGAGTT-1", "iM.data_GGGAAGTTCGGAGTGA-1", "iM.data_AGATAGAAGTAGGCCA-1", "iM.data_GTTGTAGGTTGCTCAA-1", "iM.data_TAACTTCGTGCTGATT-1", "iM.data_TGACGCGTCACTACGA-1", "iM.data_GAAGGGTCACAATGAA-1", "iM.data_CTGTAGATCATTCATC-1", "iM.data_TGTGAGTAGCCGATCC-1", "iM.data_TGAGTCAGTCGGAAAC-1", "iM.data_CATACTTGTAGAAACT-1", "iM.data_CAACGGCGTTACGATC-1", "iM.data_CATCGTCGTAGTCTTG-1", "iM.data_GATAGCTCAACAGATA-1", "iM.data_TATATCCGTTTGCAGT-1", "iM.data_GGGATCCGTTGTTTGG-1", "iM.data_TATTTCGAGGTAGATT-1", "iM.data_GTGGTTAGTGGTATGG-1", "iM.data_TTGCTGCTCAATGTCG-1", "iM.data_ACGCACGCAAAGGGCT-1", "iM.data_GGGTCACAGCAGTCTT-1", "iM.data_TGCATGAAGAAACACT-1", "iM.data_CCTGCATCAACCGCTG-1", "iM.data_CTACGGGGTAAGCTCT-1", "iM.data_CCTACGTGTGTCTCCT-1", "iM.data_AGTGACTGTGACTCTA-1", "iM.data_CAGATTGTCGAGTGAG-1", "iM.data_TGAGGTTGTTAGAAGT-1", "iM.data_TGTGGCGAGAATAGTC-1", "iM.data_GTTTGGAGTAGTGATA-1", "iM.data_CAAAGAAAGCCGTTAT-1", "iM.data_GGCTTTCGTGTCATCA-1", "iM.data_CCGTGAGAGAGCATAT-1", "iM.data_GCATCTCCATAGCACT-1", "iM.data_ACTTTGTAGGTGGTTG-1", "iM.data_TCATGAGAGGCGTTAG-1", "iM.data_TTGCGTCGTCTCACAA-1", "iM.data_CGAAGGATCAGCTGAT-1", "iM.data_TACTTGTGTAACACCT-1", "iM.data_GGATGTTAGATGCTTC-1", "iM.data_GAGGGTAGTTGGTGTT-1", "iM.data_CAAGGGATCCCAAGCG-1", "iM.data_CTGAGGCGTCTGTTAG-1", "iM.data_AACTTCTCAGCTCGGT-1", "iM.data_GGCAGTCGTGGCAACA-1", "iM.data_TAGAGTCCAGCACACC-1", "iM.data_GACGTTATCGCTAGCG-1", "iM.data_CGTCAAAAGAGTTGAT-1", "iM.data_GTCGTAACATTGCTGA-1", "iM.data_GGAGGATAGATGCTAA-1", "iM.data_CTCCGATGTCGCAGTC-1", "iM.data_TTGATGGAGGCTCTAT-1", "iM.data_GATTCGAAGACACACG-1", "iM.data_TTAGGCAGTCGATTAC-1", "iM.data_TGGGCTGAGCAAGTCG-1", "iM.data_CGTAATGGTTAACAGA-1", "iM.data_ACGTCCTGTCTTGAAC-1", "iM.data_TCGGGCATCATCGTAG-1", "iM.data_CAAAGAAGTCATCCCT-1", "iM.data_ACACAGTCAGTGTGCC-1", "iM.data_TCGGTCTGTTAAGTCC-1", "iM.data_TATCAGGTCTACCCAC-1", "iM.data_TTGGGTAAGTGCTCGC-1", "iM.data_CGCAGGTCAGACACAG-1", "iM.data_ACGATCAAGTTGCGCC-1", "iM.data_GTCATTTGTACAAACA-1", "iM.data_GTTCTATCAGCTCGGT-1", "iM.data_CGTTCTGAGAGGATGA-1", "iM.data_TACTTCATCATCACAG-1", "iM.data_GAGTTACGTAAGGAGA-1", "iM.data_GTTGCGGAGGGATGTC-1", "iM.data_GTCTTTAAGGACGGAG-1", "iM.data_CTCTCAGAGCACTCGC-1", "iM.data_GTAGCTAGTCTTCGAA-1", "iM.data_AGTTAGCAGGAAAGAC-1", "iM.data_TGGTGATAGCGTATAA-1", "iM.data_GGTAGAGTCGGTCGGT-1", "iM.data_TGTTGGACATACTGTG-1", "iM.data_CTACCTGGTTTCGTAG-1", "iM.data_GGTTCTCGTGTTAACC-1", "iM.data_ATCCACCGTCTCGGGT-1", "iM.data_CACTGAATCTATTTCG-1", "iM.data_ATCGGATGTATGTCTG-1", "iM.data_TCTATACGTTGTCAGT-1", "iM.data_CACTGGGAGGCAATGC-1", "iM.data_GTCGTAAAGGTCATCT-1", "iM.data_CACCGTTTCGTGGTAT-1", "iM.data_ACCATTTGTAACTAAG-1", "iM.data_CATCCGTTCAGCGCGT-1", "iM.data_TTTCCTCAGGTCGCCT-1", "iM.data_ACCGTTCAGCGAGTCA-1", "iM.data_TAGACCAGTACTGCGC-1", "iM.data_AGTCAACTCAAGAGTA-1", "iM.data_TTAGGCAGTTCGTAAC-1", "iM.data_ATCGATGAGAAGTGTT-1", "iM.data_GATTGGTAGAACTGAT-1", "iM.data_CAGCAGCCAGTGTGGA-1", "iM.data_ATCGTCCTCATCTGTT-1", "iM.data_TGAGCATGTCATCGCG-1", "iM.data_CCGGTAGAGCCTCTTC-1", "iM.data_TATACCTAGCGGTAAC-1", "iM.data_TTGGATGGTTCAGGTT-1", "iM.data_CTAAGTGCAGGGAGAG-1", "iM.data_TTCGGTCTCACTGGGC-1", "iM.data_CAAAGAAGTGTTAACC-1", "iM.data_TTGAGTGGTAGTCGTT-1", "iM.data_CATCGGGAGATTAGTG-1", "iM.data_TGCTCGTAGATGTTGA-1", "iM.data_GTGTTCCCAGTTGTCA-1", "iM.data_TTCCTAAAGTGGAAGA-1", "iM.data_TGAGGTTGTCTGTGAT-1", "iM.data_GTCATCCCAGAGACTG-1", "iM.data_CCTTGTGGTTCGTACA-1", "iM.data_ATTGTTCCAAGCTGTT-1", "iM.data_AAGTTCGTCGGCTTGG-1", "iM.data_TGTTCATAGATTGTGA-1", "iM.data_GAGGCAAAGTGCAACG-1", "iM.data_CGGAGAACACGTTCGG-1", "iM.data_GCGATCGAGATAGTGT-1", "iM.data_GTGGGAAGTGGTTCTA-1", "iM.data_TGGATCATCAGTGCGC-1", "iM.data_GGAATGGTCTGTTGGA-1", "iM.data_ACCATTTGTGTAACGG-1", "iM.data_TATTGGGTCGCCTATC-1", "iM.data_GTTTGGAGTTGGGACA-1", "iM.data_CTGATCCAGTATAACG-1", "iM.data_TCTCTGGGTACAACGG-1", "iM.data_TTTATGCTCAAGAAAC-1", "iM.data_GTCATGACATGCGTGC-1", "iM.data_AGGAGGTCAGATCCAT-1", "iM.data_GTTGTCCAGTCGAATA-1", "iM.data_CTGTGAAGTTGGACCC-1", "iM.data_ACTTTCAAGACGCTCC-1", "iM.data_TCACATTCAAAGCGTG-1", "iM.data_CGGAACCCACCCAATA-1", "iM.data_GTTGCTCTCGACGCGT-1", "iM.data_TCGATTTGTCCGGATC-1", "iM.data_ACTGTGATCGTAGCTA-1", "iM.data_CCAATGAGTGATCGTT-1", "iM.data_AACCAACAGTCTACCA-1", "iM.data_ACGTAGTTCGTCGACG-1", "iM.data_GGGATCCTCCGTGTGG-1", "iM.data_CTGCGAGGTCAGTCCG-1", "iM.data_TGCACGGCACAGTCCG-1", "iM.data_AACGAAATCGTTCGCT-1", "iM.data_TAGACCACATTATGCG-1", "iM.data_GTAACACGTCAAAGAT-1", "iM.data_CATCGTCCAGTTCTAG-1", "iM.data_GCCAGGTGTGCTTCAA-1", "iM.data_TATCCTAGTGGTCAAG-1", "iM.data_TAAGTCGGTCACTTAG-1", "iM.data_AGGTAGGGTTGCCAAT-1", "iM.data_GTCGAATCAATCAGCT-1", "iM.data_TGCTCGTTCAGAGCGA-1", "iM.data_CCGGACAAGGGTAGCT-1", "iM.data_ACAGCCGTCTATTGTC-1", "iM.data_TGCGACGCAGTGTATC-1", "iM.data_TTGCTGCGTCCCTAAA-1", "iM.data_CTCATTATCGACCACG-1", "iM.data_ACAGCCGCAGCGTATT-1", "iM.data_CAGATCAAGCTAGAGC-1", "iM.data_AGTTCGATCTCTTCAA-1", "iM.data_GACTATGCAGCTTCGG-1", "iM.data_GGTCTGGCACAGTCGC-1", "iM.data_ACTATTCAGCTATCTG-1", "iM.data_TCCGAAAGTCTACAGT-1", "iM.data_TCGACGGCATAACGGG-1", "iM.data_TGCTTCGTCCGCAACG-1", "iM.data_TATCCTAAGATAGGGA-1", "iM.data_GAAGCCCCAGACCAAG-1", "iM.data_GCCGTGAGTAATCAGA-1", "iM.data_CAAGGGATCTTCCGTG-1", "iM.data_ACCCTCATCGTAGGGA-1", "iM.data_GAGACTTTCTAGTACG-1", "iM.data_CATGCAAAGGTTACAA-1", "iM.data_GCACTAATCAGCTGTA-1", "iM.data_CAACCAAGTGATACAA-1", "iM.data_TCGGGACCATGCCATA-1", "iM.data_ATGGTTGAGCACACAG-1", "iM.data_TGAACGTAGCCAGTAG-1", "iM.data_TTGTTGTCAATGTTGC-1", "iM.data_AGTAGTCGTGCCAAGA-1", "iM.data_TTCTCTCGTGTATTGC-1", "iM.data_TCGCTCAGTTGTGTTG-1", "iM.data_CGGGTGTAGTGGTGGT-1", "iM.data_TCGTAGACACAAACGG-1", "iM.data_TGGGCTGGTTCATCTT-1", "iM.data_AGTAGTCGTCTTGCGG-1", "iM.data_TGATGCACAGCTCCTT-1", "iM.data_TACGCTCTCTGTGCGG-1", "iM.data_GGATGTTCATATTCGG-1", "iM.data_GAGTCTAGTAGATGTA-1", "iM.data_CTAAGTGGTGTCACAT-1", "iM.data_GATTCGAAGCGTGAGT-1", "iM.data_TCAGTTTAGTCGGCCT-1", "iM.data_GGCTGTGTCACCACAA-1", "iM.data_TGTAGACTCTTGCAGA-1", "iM.data_CCGTTCAGTGAAGCGT-1", "iM.data_CTCCCAACAACAAAGT-1", "iM.data_TCATTTGGTGAAAGTT-1", "iM.data_TAACTTCAGGATTTGA-1", "iM.data_TTGAGTGGTGTGTGTT-1", "iM.data_TTGCCTGAGATTGACA-1", "iM.data_TCTGGCTCATATGCGT-1", "iM.data_TACCGAAAGAGTCTTC-1", "iM.data_TTTACGTCAGAACTCT-1", "iM.data_TTGCATTTCCAGTGCG-1", "iM.data_CGGGTGTTCCGCGATG-1", "iM.data_GAAGTAATCGCCTAGG-1", "iM.data_ATGACCAAGATTGGGC-1", "iM.data_CCTCACATCGATACTG-1", "iM.data_GCCGTGATCTGGGCAC-1", "iM.data_AGAGCCCGTTGGTACT-1", "iM.data_GAGTGAGTCGGTGCAC-1", "iM.data_GTAGAGGTCCATATGG-1", "iM.data_ACTACGAAGTCGCCCA-1", "iM.data_GTGTCCTTCTAGTCAG-1", "iM.data_CCATAAGAGAGTTGTA-1", "iM.data_TATCTGTCAGTTTCGA-1", "iM.data_GGAAGTGTCATAGCAC-1", "iM.data_AGGCTGCGTCCTCCTA-1", "iM.data_TGAGACTTCTGTCCGT-1", "iM.data_GAGAAATCATCCGAGC-1", "iM.data_GTCCCATCATTACTCT-1", "iM.data_AGCGATTTCGATAACC-1", "iM.data_GTTCGCTAGAGATTCA-1", "iM.data_TAGATCGGTTGACTAC-1", "iM.data_TAATTCCGTAAGGTCG-1", "iM.data_ATGTCTTGTGATACCT-1", "iM.data_CTGTAGACAGATAAAC-1", "iM.data_GATGATCAGATGACCG-1", "iM.data_TGAGCATCATCGTGGC-1", "iM.data_ATCTCTAAGAGGGTGG-1", "iM.data_AGAACCTAGATGCCGA-1", "iM.data_GTAATGCGTTTAGTCG-1", "iM.data_CGTGTCTAGACTTCAC-1", "iM.data_CCCTCTCAGTAACGTA-1", "iM.data_GTAACCATCCCAGGCA-1", "iM.data_AGGACTTGTGCTTATG-1", "iM.data_AGGTGTTTCAGCTGTA-1", "iM.data_GATTGGTGTCCGAAGA-1", "iM.data_ATTCATCTCGCAATGT-1", "iM.data_CGAATTGGTTACCTGA-1", "iM.data_CCACAAACACTCGATA-1", "iM.data_CTAAGTGAGTTTCGGT-1", "iM.data_CTTCCGACAGAGGTTG-1", "iM.data_ATGGGAGGTATGAAAC-1", "iM.data_ACAGAAACAGAACTAA-1", "iM.data_CAGAGCCGTGATAGTA-1", "iM.data_TTGAGTGTCTGGCCTT-1", "iM.data_ATGGTTGAGATGAAGG-1", "iM.data_ACACGCGGTGTTAAAG-1", "iM.data_TGCGACGTCGTTCTCG-1", "iM.data_GAAGCCCAGTCCCGGT-1", "iM.data_ATTACCTTCTCTGGTC-1", "iM.data_CTAGGTACATCCAACA-1", "iM.data_CAACAACCACGACGTC-1", "iM.data_ATGGAGGGTCGTCATA-1", "iM.data_CGTGCTTTCCTCATAT-1", "iM.data_CTGGACGTCTGAGAGG-1", "iM.data_TCAGTCCCAAGGCCTC-1", "iM.data_AGTACTGCAAGAGTTA-1", "iM.data_AGATGAAAGGTAGATT-1", "iM.data_AGATGCTTCTATGTGG-1", "iM.data_TCCGGGAGTAGTTACC-1", "iM.data_AAACGCTAGGCTAGCA-1", "iM.data_AACGAAAGTCATCGCG-1", "iM.data_TTGGGTAGTCTACACA-1", "iM.data_GTCTGTCCACGACAGA-1", "iM.data_TCGGGACAGGACAGCT-1", "iM.data_TGCGGCAAGAGCAGCT-1", "iM.data_AAAGAACGTAGACACG-1", "iM.data_CCTAAGAGTGATCGTT-1", "iM.data_CCCGGAAGTTTCACAG-1", "iM.data_GAATCGTAGTGACACG-1", "iM.data_GAGTTTGGTCGTGCCA-1", "iM.data_GCGTTTCTCCCACAGG-1", "iM.data_GTGCTTCCACAATGCT-1", "iM.data_GGTTAACGTTCCCACT-1", "iM.data_TTTCATGGTATCGTTG-1", "iM.data_CTCTCGAAGTTGGCTT-1", "iM.data_CCACGTTAGGGTTAGC-1", "iM.data_ATCACAGAGGGTAATT-1", "iM.data_ATCGTGAGTTGAGAGC-1", "iM.data_CTCCATGAGTGAGTTA-1", "iM.data_CGATCGGGTCCAGGTC-1", "iM.data_TAAGTCGAGGATGAGA-1", "iM.data_AAGCGTTTCCAGTGTA-1", "iM.data_GGATCTAAGCAGGCAT-1", "iM.data_CAGTGCGTCTACTGCC-1", "iM.data_ACCATTTGTAGGGAGG-1", "iM.data_CATCGGGGTCCCGTGA-1", "iM.data_GTTACGACAGCAGTTT-1", "iM.data_GTTACGAGTCGGTGAA-1", "iM.data_AGGGCCTTCACAAGGG-1", "iM.data_AGCGATTGTCCAGCGT-1", "iM.data_AAAGTCCCAAGTGGTG-1", "iM.data_CAAGCTATCCACGTCT-1", "iM.data_TGATCTTGTTCGTAAC-1", "iM.data_GCGAGAATCTCCGATC-1", "iM.data_TAACTTCCATAGATGA-1", "iM.data_ACATCGAGTAGACTGG-1", "iM.data_AGAAATGAGTCAACAA-1", "iM.data_CCACCATGTGGTCTTA-1", "iM.data_TGCGACGGTATTAAGG-1", "iM.data_TATTTCGGTAATCAAG-1", "iM.data_CATCGCTGTCCGACGT-1", "iM.data_AAGAACACATGCACTA-1", "iM.data_ATCATTCTCATGGCCG-1", "iM.data_TTGCGTCCACGTCATA-1", "iM.data_CCTCATGTCAGCAATC-1", "iM.data_TCGCAGGAGCACCGTC-1", "iM.data_CGTGATAGTGGGAGAG-1", "iM.data_TGTTGAGTCTATCGTT-1", "iM.data_GTTCTATGTGCCAAGA-1", "iM.data_AATGGCTAGTCGGGAT-1", "iM.data_GTAGTACAGGTTATAG-1", "iM.data_GTGGAAGAGTCATAGA-1", "iM.data_GAAGCCCAGTATGACA-1", "iM.data_AAGACAATCAGGCGAA-1", "iM.data_CCAAGCGTCATAGACC-1", "iM.data_ACTATGGGTCAAATCC-1", "iM.data_CGTTAGAAGAGTTCGG-1", "iM.data_AATGACCGTAACCCGC-1", "iM.data_GCGTTTCGTGGCGCTT-1", "iM.data_TACGTCCTCTGCTAGA-1", "iM.data_TTTGATCGTAAGTTGA-1", "iM.data_ACAGCCGTCTAGTGTG-1", "iM.data_CCGGACACACCTTCGT-1", "iM.data_AGGAATATCGATACAC-1", "iM.data_TCGGATATCTGTACAG-1", "iM.data_CCTCAGTTCAGGCGAA-1", "iM.data_TCCTCCCCAAACGTGG-1", "iM.data_GGTTGTATCCTCACTG-1", "iM.data_GTAGTACAGAACTGAT-1", "iM.data_AAAGGGCGTTGGTGTT-1", "iM.data_CTGAATGCAGACCAAG-1", "iM.data_GACGTTAAGTTGGACG-1", "iM.data_GTTAGTGTCTCATGGA-1", "iM.data_ACGTAGTTCGTCAGAT-1", "iM.data_AGAGCAGAGGTCGTCC-1", "iM.data_GGTAATCGTGATATAG-1", "iM.data_CATTGTTAGGAAGTCC-1", "iM.data_CAGCCAGAGTGGAAGA-1", "iM.data_AGACAAAAGGTATAGT-1", "iM.data_TACACCCAGATTGGGC-1", "iM.data_CGGAACCCAGCTTTGA-1", "iM.data_CGAGAAGTCCACTAGA-1", "iM.data_GTGATGTCATACTGTG-1", "iM.data_TGGTAGTAGAGGGTAA-1", "iM.data_ATTCTACAGAGCAAGA-1", "iM.data_GAACGTTGTCGGTAAG-1", "iM.data_ACCACAAAGTATGGAT-1", "iM.data_ATGTCTTGTCAAGCGA-1", "iM.data_GGAGGATAGATACTGA-1", "iM.data_TGTTCTAGTCGGTAAG-1", "iM.data_CTCGAGGCATTGCTGA-1", "iM.data_AACAAGAAGAGAGCCT-1", "iM.data_ATCGGCGCAGCGGTCT-1", "iM.data_ACGTAGTGTGAATTGA-1", "iM.data_ATGAGGGTCTATTCGT-1", "iM.data_GCCAGCAAGTATGCAA-1", "iM.data_GTCATGATCACCTGTC-1", "iM.data_CCGGGTATCATCGGGC-1", "iM.data_GTTACGAGTTGTATGC-1", "iM.data_TCCTTCTAGATAGGGA-1", "iM.data_TACTTGTTCTGTCCCA-1", "iM.data_GAGCCTGGTACTCGAT-1", "iM.data_GACAGCCTCCTTTGAT-1", "iM.data_CTGGTCTGTACGATTC-1", "iM.data_TGTGATGCAGGCTACC-1", "iM.data_CCGTGAGCAATACGCT-1", "iM.data_GTCAAGTAGAAGGATG-1", "iM.data_TTTGTTGGTTTGGGAG-1", "iM.data_AAACGCTGTGATGTAA-1", "iM.data_GTCATCCAGTTGCGCC-1", "iM.data_CAGTTAGGTTGTACGT-1", "iM.data_CACGGGTTCGGCGATC-1", "iM.data_GAAATGACACGCGTGT-1", "iM.data_TTGAACGTCCGCGATG-1", "iM.data_GTGTAACAGATTAGTG-1", "iM.data_CTCAATTTCGGTCTAA-1", "iM.data_CACGGGTGTAACTGCT-1", "iM.data_ACCATTTAGGGCTTCC-1", "iM.data_TTGTTCAGTAGGTAGC-1", "iM.data_TGAGGAGCAGTGTGGA-1", "iM.data_TTTCGATTCTGATGGT-1", "iM.data_GTATTTCGTTACCGTA-1", "iM.data_GACGCTGGTAACGGTG-1", "iM.data_ATCCTATTCTGCATAG-1", "iM.data_GAAGCCCCAACCCGCA-1", "iM.data_TCATTCAAGTACCGGA-1", "iM.data_ACTTCCGAGAGATGCC-1", "iM.data_ACGTTCCCAATCGCGC-1", "iM.data_CTTCAATCATTCAGGT-1", "iM.data_CCCTAACAGCCTGTCG-1", "iM.data_CTGGCAGGTCATCGGC-1", "iM.data_TTACTGTCAAAGGCGT-1", "iM.data_GGAAGTGGTTCAAGTC-1", "iM.data_CTTTCAAAGAAGGGAT-1", "iM.data_TGCTCGTAGGGTGGGA-1", "iM.data_AGGGAGTAGCTGAGTG-1", "iM.data_CGGAACCGTTTAGAGA-1", "iM.data_AACTTCTGTAGCACAG-1", "iM.data_CCCGAAGCAAGATGTA-1", "iM.data_GTCACTCGTCAACATC-1", "iM.data_TGCATGACAAGACCTT-1", "iM.data_CAGTGCGCAAGTGGGT-1", "iM.data_CTGGCAGGTGCTTATG-1", "iM.data_ATGAGGGCAGCAGTAG-1", "iM.data_TACAGGTAGACATGCG-1", "iM.data_ACAGAAACATGACGAG-1", "iM.data_GATCAGTCAATTTCGG-1", "iM.data_CATCGGGTCGGTCTGG-1", "iM.data_ACCAACAAGGAATCGC-1", "iM.data_GTCTACCAGTGGACTG-1", "iM.data_CACTGAACAGCTTCCT-1", "iM.data_TGGTTAGGTGTGAGCA-1", "iM.data_GTCACGGCATGTGACT-1", "iM.data_GCAGCTGTCACCTCTG-1", "iM.data_CGGAATTGTTCGGCTG-1", "iM.data_GCCAGTGAGGATGAGA-1", "iM.data_ATAGAGAGTAATCAAG-1", "iM.data_GTCATCCGTGTGAATA-1", "iM.data_CCGGTGACATTCCTCG-1", "iM.data_CCGGTGAGTCAGCGTC-1", "iM.data_GCCAGCAGTGAGATAT-1", "iM.data_GGTTAACGTCGTGGTC-1", "iM.data_GCTCAAAAGTGCAAAT-1", "iM.data_GTTGTCCCAAGTGGGT-1", "iM.data_CCGGTGACAGTTGCGC-1", "iM.data_ACACCAACAAGACGAC-1", "iM.data_CTATAGGGTCGACGCT-1", "iM.data_GACTGATGTAGCCCTG-1", "iM.data_GGGAAGTTCTGGCCTT-1", "iM.data_TGGGCGTCAGTTAGAA-1", "iM.data_CACTGGGTCCGCGATG-1", "iM.data_AAGGTAAGTTATGTCG-1", "iM.data_AAGTCGTTCGACTCCT-1", "iM.data_CTAGGTAAGGATATAC-1", "iM.data_AAGACTCCAGTCGCTG-1", "iM.data_GGTGTTATCTCGGCTT-1", "iM.data_GTCCCATAGCCTCTTC-1", "iM.data_ACGTTCCCACATATCG-1", "iM.data_TAACTTCAGGAGTATT-1", "iM.data_TGGGAGACAATAGTAG-1", "iM.data_CATACAGTCGGTCTAA-1", "iM.data_CAGCACGCATCATCTT-1", "iM.data_TGTTCTATCTAGTGTG-1", "iM.data_AACCTGAAGCGAGGAG-1", "iM.data_GAGAAATTCTCGAGTA-1", "iM.data_CTTCTAAGTGCCTATA-1", "iM.data_CCAAGCGCACTATGTG-1", "iM.data_TGTTTGTTCCTCCACA-1", "iM.data_TGGTTAGGTACAGCGA-1", "iM.data_CATACTTGTGTTAACC-1", "iM.data_CTACAGAAGAACAGGA-1", "iM.data_GTTCATTTCTTTCGAT-1", "iM.data_GAGGGTATCTCCCAAC-1", "iM.data_CCTAAGATCCACGTCT-1", "iM.data_GGTGTCGTCACGAACT-1", "iM.data_CAAGCTACAGAGCTAG-1", "iM.data_GAGTTTGCAGTCCCGA-1", "iM.data_GCATTAGCAGGGATAC-1", "iM.data_GCATCGGCACGACCTG-1", "iM.data_TTGGGATAGCGACCCT-1", "iM.data_AGGTTGTAGGGTACGT-1", "iM.data_TCGAAGTAGTGCCTCG-1", "iM.data_AGGTTACAGTAACGTA-1", "iM.data_GAATCGTTCGCTCCTA-1", "iM.data_ACGGTCGCAAGCACAG-1", "iM.data_ATTGGGTGTGGTCTGC-1", "iM.data_TGAGTCAGTAAGTCAA-1", "iM.data_TTACGTTAGGCCTAGA-1", "iM.data_CATCCACCATGGGTCC-1", "iM.data_CATTGCCTCTCGCTCA-1", "iM.data_AACCCAACACCTCGTT-1", "iM.data_CTTGATTGTCTTTCAT-1", "iM.data_GCCATGGTCGGAGTGA-1", "iM.data_CTGAGCGCAATAACCC-1", "iM.data_CTATAGGAGTACGAGC-1", "iM.data_CTGCGAGAGACAACAT-1", "iM.data_CTGTAGATCTCATTGT-1", "iM.data_GCTTGGGTCTATACGG-1", "iM.data_TATTGCTGTAAGTTGA-1", "iM.data_AATCACGTCTATTCGT-1", "iM.data_GACCGTGAGGACTGGT-1", "iM.data_TGGGAGACAAATGGAT-1", "iM.data_TCAGTGAAGGATCATA-1", "iM.data_CTCATTAAGTGATTCC-1", "iM.data_GGGATGAGTGTCGATT-1", "iM.data_CGTAGTATCTGCACCT-1", "iM.data_GGTCACGGTAATGCTC-1", "iM.data_TTTATGCGTATACCCA-1", "iM.data_GATGGAGCACCTGCTT-1", "iM.data_GGGTGAATCCAGTGCG-1", "iM.data_TCACTCGTCTACACTT-1", "iM.data_ACCGTTCAGGATTACA-1", "iM.data_GCGTGCACACAGAGAC-1", "iM.data_GGGATCCGTGTTCGTA-1", "iM.data_GCATCTCAGGAATGTT-1", "iM.data_GATAGAAGTCAAAGTA-1", "iM.data_AGCGTATAGCACTAGG-1", "iM.data_TAAGCACTCGTGTGGC-1", "iM.data_AGGTCATTCGAAGAAT-1", "iM.data_GTTATGGAGCAGGCAT-1", "iM.data_AATGCCAGTGTGATGG-1", "iM.data_TGCATGATCGCAGTGC-1", "iM.data_CACTGGGGTGGAAATT-1", "iM.data_CAAAGAAAGGCTTAGG-1", "iM.data_AGCGTATCATGGAAGC-1", "iM.data_GTTCGCTAGCGTCAAG-1", "iM.data_TCGCTCAAGGCTTAGG-1", "iM.data_TGCGGGTTCGTGACTA-1", "iM.data_GGCTTTCAGGTCGTAG-1", "iM.data_ACTTATCAGTGGAAGA-1", "iM.data_GTCATTTGTGACTAAA-1", "iM.data_CTAACCCCATGAAGGC-1", "iM.data_TTCACCGGTCGTATTG-1", "iM.data_GATTTCTGTGCCTGCA-1", "iM.data_TGCCGAGCAACCACAT-1", "iM.data_CTACGGGCATGCCGCA-1", "iM.data_TGGGTTAAGTGATAAC-1", "iM.data_GACATCAGTCGGATTT-1", "iM.data_TGGGCGTCAAGTGTCT-1", "iM.data_TGCAGTATCATTACTC-1", "iM.data_AGGATCTAGTGGTTGG-1", "iM.data_ATAGAGATCAGCTTGA-1", "iM.data_TGCTGAATCTACCAGA-1", "iM.data_CGAATTGAGAGTTGTA-1", "iM.data_GTTGCGGTCAGGTAAA-1", "iM.data_TGGAGAGAGAGGGTAA-1", "iM.data_GGACGTCTCCATTCAT-1", "iM.data_TCTTTGAAGAAGCGAA-1", "iM.data_CTTCTAAAGACTGAGC-1", "iM.data_CACTGGGAGGTACTGG-1", "iM.data_TAGCACAAGGATATGT-1", "iM.data_TGTGTGAAGATGGTCG-1", "iM.data_GCTTGGGCAATTGCGT-1", "iM.data_AATGACCGTTGCCGAC-1", "iM.data_CCGTAGGAGGAATGTT-1", "iM.data_TGTCAGAGTAGCTTGT-1", "iM.data_CATCCGTAGGTTACAA-1", "iM.data_GTTGCGGAGTAGACCG-1", "iM.data_CTCAAGAGTTGGACTT-1", "iM.data_CCTCACATCACCTTAT-1", "iM.data_GAAGGACAGTGTCATC-1", "iM.data_GTGTTCCCAACGGCCT-1", "iM.data_TAGGTACGTATGCAAA-1", "iM.data_ATTCCATGTCTCAAGT-1", "iM.data_GTGAGTTTCTCGTTTA-1", "iM.data_TGATGGTGTATTCCTT-1", "iM.data_GTGGCGTGTGGATACG-1", "iM.data_TGTCAGAAGCACAAAT-1", "iM.data_TGATTCTGTTGCAACT-1", "iM.data_AGTAGTCTCGAGTTGT-1", "iM.data_CCTGCATGTACAGTTC-1", "iM.data_TTTGGTTCATGTCGTA-1", "iM.data_GTTACAGGTTGCATAC-1", "iM.data_GAAGAATCAATCCTAG-1", "iM.data_GTAGAAAAGGTCTTTG-1", "iM.data_AATCACGTCTTCCTAA-1", "iM.data_TTCATTGAGAATCGCG-1", "iM.data_TGATTCTGTCGTCGGT-1", "iM.data_AGCGCCACATTGACCA-1", "iM.data_TGCCGAGTCTGGCCTT-1", "iM.data_TGTTTGTGTCCCTAAA-1", "iM.data_TAACTTCGTATCTCTT-1", "iM.data_TTCTTCCGTCCTACGG-1", "iM.data_TAAGTCGCATGGAACG-1", "iM.data_TGTTCCGTCTACTGAG-1", "iM.data_CGTGAATAGTAATACG-1", "iM.data_TACGCTCGTATGCTTG-1", "iM.data_ACTTTCACACACCTGG-1", "iM.data_CTTTCGGGTGTATTGC-1", "iM.data_AGTCAACGTCGTGGAA-1", "iM.data_GTCACGGGTGTGGTCC-1", "iM.data_TCTTCCTCAGAGGCTA-1", "iM.data_TCTATCAAGCTCTATG-1", "iM.data_CAGATACTCGTGGCTG-1", "iM.data_GTACAGTGTAACGATA-1", "iM.data_AACAGGGAGACTCTTG-1", "iM.data_AGCGTATGTTGATGTC-1", "iM.data_GAGACTTCATTGTGCA-1", "iM.data_TCTGCCAGTCTGTGTA-1", "iM.data_AAGTGAAGTGTGATGG-1", "iM.data_ACGATCAAGTCTGCAT-1", "iM.data_CTCCACAGTCACTGAT-1", "iM.data_GGGCTCACAATTGCGT-1", "iM.data_GGAAGTGGTTAGGGTG-1", "iM.data_TCAATCTCAGCGGATA-1", "iM.data_CTACGGGGTTTAGAGA-1", "iM.data_TCTACCGCAACTTCTT-1", "iM.data_GCCTGTTGTTCGGTCG-1", "iM.data_TTGTGGAGTGAATGAT-1", "iM.data_ACCCAAAAGTGGACGT-1", "iM.data_ACTTCGCGTTGCCAAT-1", "iM.data_AGTACCAAGGGTTTCT-1", "iM.data_TGGTGATTCGCTGATA-1", "iM.data_TTCAGGAAGTCATACC-1", "iM.data_CATCAAGCATTGACTG-1", "iM.data_GACTATGAGTGATCGG-1", "iM.data_ATCCGTCCAGGAACCA-1", "iM.data_GAATAGAGTGGAAGTC-1", "iM.data_ACCCTTGTCATCGCCT-1", "iM.data_TATTGGGGTTGAGAGC-1", "iM.data_CCCGGAATCTATTGTC-1", "iM.data_TTCCTAACAGCGTATT-1", "iM.data_ATCAGGTTCGTGAGAG-1", "iM.data_GTCACGGTCCCATACC-1", "iM.data_CTGTGGGGTGTTCGTA-1", "iM.data_CAAGGGAAGAGCAAGA-1", "iM.data_GAATAGACAGACAAAT-1", "iM.data_CGGGTCAGTATCACCA-1", "iM.data_GTTAGACTCACAATGC-1", "iM.data_ATGAGGGAGTTACGAA-1", "iM.data_AGTACTGAGGGCCTCT-1", "iM.data_GATCGTAGTATTGACC-1", "iM.data_AGGTAGGTCAACGCTA-1", "iM.data_GAATCGTTCGCAGTTA-1", "iM.data_TGACAGTAGAGTTGAT-1", "iM.data_TCATTGTCAACTTGCA-1", "iM.data_CATCGTCGTTGTAAAG-1", "iM.data_TACCCGTTCTGCCTGT-1", "iM.data_CACCGTTAGACGGAAA-1", "iM.data_ACAACCAGTGAGACGT-1", "iM.data_AAAGTGAGTTCAAAGA-1", "iM.data_AAAGGGCGTCTACATG-1", "iM.data_TATACCTAGACGTCCC-1", "iM.data_GCTACCTTCAAGCTGT-1", "iM.data_TCTAACTTCAAGAATG-1", "iM.data_ACGCACGTCTAGTGTG-1", "iM.data_CAAGGGATCCACGTCT-1", "iM.data_CTGCATCGTCCGCAGT-1", "iM.data_AGGTTACCAGAAATTG-1", "iM.data_AGCGCTGTCTGAGAGG-1", "iM.data_CTCTGGTCAAGAGTGC-1", "iM.data_CGTAAGTTCATTTGTC-1", "iM.data_TCAATTCTCGGCATAT-1", "iM.data_CTAACTTAGCAAGTGC-1", "iM.data_AAAGTCCAGCCATATC-1", "iM.data_CTCATCGGTGTGTGTT-1", "iM.data_CTAGACAAGATGTTAG-1", "iM.data_ACGTACAGTAGATTGA-1", "iM.data_ATTCTACAGCGATGGT-1", "iM.data_CGCATAACAAGTGGAC-1", "iM.data_GCCATTCGTACGAAAT-1", "iM.data_ATGGGAGGTTAAACCC-1", "iM.data_AAGGAATGTGGAAATT-1", "iM.data_GGAGGTATCTAGCCTC-1", "iM.data_TTTCACATCGGAACTT-1", "iM.data_GTGGGAAGTCGGATTT-1", "iM.data_CTGGCAGAGGTTATAG-1", "iM.data_GCTACCTGTGGGAGAG-1", "iM.data_TGGTGATTCCATTGGA-1", "iM.data_TATCTTGCAATGCTCA-1", "iM.data_GATAGCTAGTGTTGTC-1", "iM.data_ACTTCGCGTTCTCCCA-1", "iM.data_GGGATCCGTCCTGGTG-1", "iM.data_CCACGTTCAAGACCTT-1", "iM.data_GTGGTTATCGTGCGAC-1", "iM.data_CGAGTGCTCCGATCGG-1", "iM.data_TCTGCCAGTCAACATC-1", "iM.data_GGGTGAATCAGACAAA-1", "iM.data_CTCGAGGAGGGCTGAT-1", "iM.data_AGTGATCGTCGTTGGC-1", "iM.data_CACTAAGTCAGCAGAG-1", "iM.data_AACCATGAGTTGCGCC-1", "iM.data_ATCGTCCTCGCCAATA-1", "iM.data_GGGCTACTCTAACGGT-1", "iM.data_CGTAGTACAAGGAGTC-1", "iM.data_CACTAAGGTAGAGTTA-1", "iM.data_GGGCGTTGTTGTAAAG-1", "iM.data_TTTCACAGTTATCCAG-1", "iM.data_TTTGGTTCACCAGCGT-1", "iM.data_GTTATGGAGTTAGAAC-1", "iM.data_GTTTGGAAGGCATTTC-1", "iM.data_TTGCTGCAGACCCGCT-1", "iM.data_TTCGATTGTAAGGCTG-1", "iM.data_ATGCATGTCCTGGGAC-1", "iM.data_GAAGGACGTTAAGGGC-1", "iM.data_CGAAGTTTCTCACGAA-1", "iM.data_GTGAGGATCGTCTCAC-1", "iM.data_GAATAGATCCGTGTGG-1", "iM.data_TGTGTGAGTTCTTAGG-1", "iM.data_TCTCCGACAAACTCGT-1", "iM.data_CTCTGGTCACGACAAG-1", "iM.data_TACCTGCTCCTAAGTG-1", "iM.data_CATAAGCAGGCCTGCT-1", "iM.data_TTCCTAAGTCGGCACT-1", "iM.data_TCGAACACACGTCGGT-1", "iM.data_GCCAGCAGTGTTAGCT-1", "iM.data_CCCATTGAGGTCGTGA-1", "iM.data_GGGCGTTAGAGCTGAC-1", "iM.data_GAGATGGGTCAACCAT-1", "iM.data_GCAACATAGCCATTGT-1", "iM.data_TGGTACAGTACTGACT-1", "iM.data_CAGTGCGTCAGCTTGA-1", "iM.data_CGGCAGTGTGACGCCT-1", "iM.data_TTGCGTCTCCAAGGGA-1", "iM.data_GCACGGTCAGCCCAGT-1", "iM.data_TAGTGCAAGCTAGAGC-1", "iM.data_GCAGCCAGTAGGACCA-1", "iM.data_GAGGGTATCCACAGCG-1", "iM.data_GGTAACTGTCGTCAGC-1", "iM.data_GATCAGTCAGAGGACT-1", "iM.data_CTCATTAGTGGCTCTG-1", "iM.data_ATCAGGTGTTTGTTGG-1", "iM.data_TGAATCGCAGGGCTTC-1", "iM.data_GAGACTTAGGCCACCT-1", "iM.data_TACCTGCAGGATATAC-1", "iM.data_TTCGATTGTTGCGTAT-1", "iM.data_GGGAAGTGTACTCCGG-1", "iM.data_GGAGGATAGTTCTACG-1", "iM.data_AAAGAACAGAGAATCT-1", "iM.data_TACATTCGTCCTGGGT-1", "iM.data_TTTACTGGTCACCGCA-1", "iM.data_AGTAGCTCACATGGTT-1", "iM.data_GTCCCATCATAACTCG-1", "iM.data_TACTTACCAGGTTCGC-1", "iM.data_GTGCAGCAGACCTGGA-1", "iM.data_CATTCATGTCGGTGTC-1", "iM.data_GGGAAGTTCTAGAACC-1", "iM.data_TGTGATGAGAAACTAC-1", "iM.data_GTGTCCTGTATCGGTT-1", "iM.data_GGATCTAGTAACATGA-1", "iM.data_ACTGTCCAGTGGGAAA-1", "iM.data_AGAAGCGGTAGACGTG-1", "iM.data_GAAGCGATCTCTTAAC-1", "iM.data_GCAGGCTGTGACTAAA-1", "iM.data_TCTGCCACATAGGTAA-1", "iM.data_TTTCAGTTCTCTGAGA-1", "iM.data_GACTCTCAGTACGTCT-1", "iM.data_GGCGTCACAAATCGGG-1", "iM.data_TTTACTGAGTTGAATG-1", "iM.data_TATTGGGTCCGCGAGT-1", "iM.data_TCACTATGTACGACAG-1", "iM.data_GTAGCTAAGTCTGCGC-1", "iM.data_GGAGGTACAATTGCCA-1", "iM.data_CGCATGGGTACGTGTT-1", "iM.data_GATTCTTAGGTCCCGT-1", "iM.data_AGCGTATAGTCTTGGT-1", "iM.data_AGACAAAAGAGTCTTC-1", "iM.data_CTATCCGAGTGATAGT-1", "iM.data_TTAGTCTGTTGGGCCT-1", "iM.data_AGATAGAAGGCGAACT-1", "iM.data_ATTCAGGCAGGGAATC-1", "iM.data_AGTCACATCAGGACGA-1", "iM.data_CTAACTTAGTAGATCA-1", "iM.data_TTGGGATGTGCTCTCT-1", "iM.data_GTTATGGGTCGGCCTA-1", "iM.data_AGCATCACATCTGCGG-1", "iM.data_GCAGCCAAGCCTTTGA-1", "iM.data_CGAGAAGAGTTGAAGT-1", "iM.data_CCACTTGGTGTCATTG-1", "iM.data_GTGGAAGCATCCAATG-1", "iM.data_GGTAGAGAGTTGCGCC-1", "iM.data_AGGTAGGGTGATGTAA-1", "iM.data_CGGAATTTCAGGAAGC-1", "iM.data_AACCTTTGTGTGTTTG-1", "iM.data_AAGTACCTCGTGTGGC-1", "iM.data_GTTCGCTGTGTTCAGT-1", "iM.data_GTGTTAGCAGTGTACT-1", "iM.data_GCTTCACTCAGCGCAC-1", "iM.data_TGAGTCACATCGGCCA-1", "iM.data_CAATACGGTATTGCCA-1", "iM.data_TCGCAGGGTTCCTTGC-1", "iM.data_CAAGGGATCCTAAACG-1", "iM.data_CTACCCATCAGCATTG-1", "iM.data_GTCTGTCGTTGGTAGG-1", "iM.data_CTGGTCTCATACCAGT-1", "iM.data_CTAACTTTCATGAGTC-1", "iM.data_TGGAGGACACAACGTT-1", "iM.data_CTCTCGACAGTTGGTT-1", "iM.data_GTTGCTCTCTCTCTTC-1", "iM.data_ACACTGACAAGTTTGC-1", "iM.data_CTATCCGAGTGCCAGA-1", "iM.data_CCATCACAGGTTAGTA-1", "iM.data_GCGTTTCCAACAGAGC-1", "iM.data_CATCCGTGTGTACGCC-1", "iM.data_GTTGAACTCGGCATTA-1", "iM.data_GTCAGCGTCCTAGAGT-1", "iM.data_GGTTGTAGTAGGTAGC-1", "iM.data_GATCACAAGAAAGCGA-1", "iM.data_AGACCCGAGTCGCCAC-1", "iM.data_GTCTGTCGTGATTAGA-1", "iM.data_CCCGGAAGTATGCTAC-1", "iM.data_TGAGGTTGTATCCCTC-1", "iM.data_GCAACCGAGTGAGGTC-1", "iM.data_AAAGAACCAGCGTGAA-1", "iM.data_AATTTCCAGGTTCACT-1", "iM.data_TTGCTGCTCGATTTCT-1", "iM.data_TTGTGGATCTGCGGAC-1", "iM.data_GGCTTGGAGCACTAAA-1", "iM.data_GGGATCCAGTGCACAG-1", "iM.data_CAACAGTCAATCTGCA-1", "iM.data_TCTATCAAGAGTGGCT-1", "iM.data_TCTAACTAGGTGCTAG-1", "iM.data_CATTCTATCCTGTACC-1", "iM.data_AAGCGTTAGGGTGAAA-1", "iM.data_GTTGTAGAGTGAGTGC-1", "iM.data_TGAGTCAGTCGAAACG-1", "iM.data_CAAAGAACATCGTTCC-1", "iM.data_GTATTTCTCGGAGTGA-1", "iM.data_AATCACGGTTCTCCCA-1", "iM.data_CATAGACCAGCATGCC-1", "iM.data_TACCTGCTCATGAGAA-1", "iM.data_CTGCAGGGTGCCTGCA-1", "iM.data_TATTTCGCAAGGACAC-1", "iM.data_TCATTACGTTTCGTTT-1", "iM.data_AGCGTATGTACGTGAG-1", "iM.data_GTCCACTAGTTTGGCT-1", "iM.data_TTACCGCTCGCCGAGT-1", "iM.data_TGCGACGAGGTGCATG-1", "iM.data_TCACATTTCGATGCTA-1", "iM.data_TGTGTGACATGTGGCC-1", "iM.data_TTCCACGGTTAACCTG-1", "iM.data_ACAGAAAAGATGAAGG-1", "iM.data_TCGTAGACACCGAATT-1", "iM.data_TGTGGCGGTTAAACAG-1", "iM.data_TGTTCTAGTTTGTTGG-1", "iM.data_CCTAACCTCGAAGTGG-1", "iM.data_CGGGTGTGTGCACATT-1", "iM.data_CCACAAAAGTAGGCCA-1", "iM.data_AGAGCAGAGACGGTTG-1", "iM.data_GTTACCCCACGGCCAT-1", "iM.data_GTACAACGTGCCGGTT-1", "iM.data_GTCCCATTCGTCGCTT-1", "iM.data_AATCGACCAACCGGAA-1", "iM.data_CCTCTAGCATGAAGCG-1", "iM.data_AGTAGTCTCAGGCGAA-1", "iM.data_GACCCTTCACAACATC-1", "iM.data_AGGATAAAGAGACAAG-1", "iM.data_TTAGTCTGTACTGGGA-1", "iM.data_TCTCACGGTACACGTT-1", "iM.data_GTCATCCGTATAGGGC-1", "iM.data_AGGATCTGTTGGCCGT-1", "iM.data_TCTATCATCCTTCTAA-1", "iM.data_ACACGCGAGTAAACAC-1", "iM.data_TCCACCAGTGGAATGC-1", "iM.data_AACCTTTTCTTGCGCT-1", "iM.data_GTCATCCAGCCGTTGC-1", "iM.data_CGAATTGCAAGTCGTT-1", "iM.data_CGTAATGCACACTTAG-1", "iM.data_TCGCAGGGTCGAGCTC-1", "iM.data_GGGTGTCCAATAGGAT-1", "iM.data_TATCCTATCCGCGGAT-1", "iM.data_TGCGACGTCTATACGG-1", "iM.data_TGTAGACTCGTAACTG-1", "iM.data_GCAACCGGTGCGACAA-1", "iM.data_GTAACACGTCTTCTAT-1", "iM.data_AAAGGTAGTGTGTTTG-1", "iM.data_TCGGATAGTTGCTCGG-1", "iM.data_CACTGAACATCGATGT-1", "iM.data_CATCGCTCAAAGGCGT-1", "iM.data_CATGGATAGCGCCGTT-1", "iM.data_AAAGGTAGTGACCTGC-1", "iM.data_TCCTTTCGTTCAAGGG-1", "iM.data_GGGAGTACAGTCGCTG-1", "iM.data_TCACAAGTCCGGTAAT-1", "iM.data_AAGACTCGTTTAGACC-1", "iM.data_CCTCAACCACTAGAGG-1", "iM.data_AGTCTCCGTAGTCTTG-1", "iM.data_TTGGTTTTCACAAGAA-1", "iM.data_TTGAGTGGTTGCGAAG-1", "iM.data_TAGTGCATCCGTGGTG-1", "iM.data_TGAACGTGTGTATTGC-1", "iM.data_TTTACGTCATCCTTGC-1", "iM.data_TGATTCTAGGTAAACT-1", "iM.data_TGTTCCGGTATAGGGC-1", "iM.data_AACGGGATCTCGCTCA-1", "iM.data_GGAGGATTCCAGTGTA-1", "iM.data_TCGATTTCACTAGGTT-1", "iM.data_TTTCATGCAGTTACCA-1", "iM.data_CCCTAACAGGTTAAAC-1", "iM.data_GCATCTCAGGTCACAG-1", "iM.data_GCCATTCAGGTACTGG-1", "iM.data_CATTCTATCTGGGTCG-1", "iM.data_TTCCTCTCATCGGAGA-1", "iM.data_ACCTGTCGTGGCTTAT-1", "iM.data_AGACCATGTAGCGAGT-1", "iM.data_CTGGCAGGTCCCTCAT-1", "iM.data_TGTCAGATCAGACAAA-1", "iM.data_CATTCCGTCCGATGTA-1", "iM.data_CTTCCGAAGTTCACTG-1", "iM.data_AGTTCGACACCTTCGT-1", "iM.data_GCACGTGAGGTTGAGC-1", "iM.data_ATCGGATCAACTGAAA-1", "iM.data_AGGATCTAGGTTCTTG-1", "iM.data_GGCTTTCGTACCTATG-1", "iM.data_GAATCGTTCATTACGG-1", "iM.data_TGCTCCAAGGACTAAT-1", "iM.data_GCCCGAATCAAGGACG-1", "iM.data_AGGAAATAGAGTTGAT-1", "iM.data_TATTTCGAGAGAAGGT-1", "iM.data_CATTCATGTTTGTGGT-1", "iM.data_TAGGGTTGTACGTACT-1", "iM.data_ATCCGTCGTAGGTAGC-1", "iM.data_CCAATGAAGAAACTAC-1", "iM.data_GGGACTCGTCAAAGTA-1", "iM.data_GTGCAGCGTGATTGGG-1", "iM.data_ACAAGCTTCTCTGCCA-1", "iM.data_ACCTGAATCGAGATGG-1", "iM.data_ATCACTTAGTAGTCCT-1", "iM.data_ATCGCCTAGAGCGACT-1", "iM.data_CTTCTCTCAGTCTGGC-1", "iM.data_CGGGTGTCACGTAGAG-1", "iM.data_GCATCGGGTGCGGTAA-1", "iM.data_TGCAGGCGTAGTCTTG-1", "iM.data_TTCAATCGTAGGCAGT-1", "iM.data_GTAATCGGTTACCTGA-1", "iM.data_GGAAGTGCATAATCGC-1", "iM.data_CTGTAGACACTTCTCG-1", "iM.data_GGGCGTTGTCCTCCAT-1", "iM.data_GTGAGGAAGACCGTTT-1", "iM.data_CTTCAATCAAGACCGA-1", "iM.data_CTTCCTTGTGCCGTTG-1", "iM.data_CTATCCGTCCTGTTAT-1", "iM.data_AGATAGAAGCGATCGA-1", "iM.data_TTCGGTCCATTGCCTC-1", "iM.data_TGAGGGACAACCGTAT-1", "iM.data_CTATCTAGTTCGGTCG-1", "iM.data_GATGACTAGCAGTACG-1", "iM.data_CTGCATCCACCGGCTA-1", "iM.data_AGCTACATCCCTGGTT-1", "iM.data_AGCTTCCTCAACTGGT-1", "iM.data_CGGGACTAGCAATTCC-1", "iM.data_CATAGACGTACGCTTA-1", "iM.data_GTCTAGAGTCGCATCG-1", "iM.data_CTCCAACGTGATTAGA-1", "iM.data_GCGTGCAAGTAGCATA-1", "iM.data_CCCGGAATCCATACAG-1", "iM.data_TGGGTTAGTAGCTAAA-1", "iM.data_ATCACTTGTCGTAATC-1", "iM.data_TGAGGAGAGCGTTCAT-1", "iM.data_TGTGAGTGTCATCCCT-1", "iM.data_TTTGACTCATTCTGTT-1", "iM.data_TCGGGTGCACTTGGGC-1", "iM.data_AACGTCAGTGTGGACA-1", "iM.data_CACTGGGCATGTTTGG-1", "iM.data_GTAGAAAGTATCGTGT-1", "iM.data_CACTTCGAGAAATGGG-1", "iM.data_TGAACGTCAAGTGGAC-1", "iM.data_CCGAACGCAGCAAGAC-1", "iM.data_GGGATGAAGTATGACA-1", "iM.data_CGGGACTGTACGACAG-1", "iM.data_TCATTGTAGCGGGTAT-1", "iM.data_CTTCTAAAGCCTCATA-1", "iM.data_AGGGTGACACGTGTGC-1", "iM.data_GTGCGTGCACCTGATA-1", "iM.data_GTGGCGTCACGGGTAA-1", "iM.data_AGGTCTAGTGGCTCTG-1", "iM.data_TTGCGTCTCCTTCGAC-1", "iM.data_CTCACTGAGCTGTTCA-1", "iM.data_GAGGGTATCCTGGGTG-1", "iM.data_CTTGATTCATGCCGGT-1", "iM.data_CTTCTCTCAACGATCT-1", "iM.data_TCACGCTTCTACGGGC-1", "iM.data_AATGAAGGTCCCTGTT-1", "iM.data_ACATCGATCTGAGGTT-1", "iM.data_CATCCGTTCGGTAACT-1", "iM.data_CGCCATTAGGTATAGT-1", "iM.data_GTGTCCTCAAGGTTGG-1", "iM.data_GATTCTTCACGATAGG-1", "iM.data_GTAGTACGTGGGCTTC-1", "iM.data_GTGAGTTTCGCAGTTA-1", "iM.data_TACAACGAGCTCTATG-1", "iM.data_TTAGGCAGTTGACGGA-1", "iM.data_AGTACCAGTACGCGTC-1", "iM.data_GTAACCAAGTTGAAAC-1", "iM.data_TCCACGTAGGAACGCT-1", "iM.data_TTCTCTCTCCCAGCGA-1", "iM.data_CTGCTCAAGAAGATCT-1", "iM.data_ACATTTCTCTAAGAAG-1", "iM.data_AGTAACCCATGACGGA-1", "iM.data_GATCAGTAGAACTGAT-1", "iM.data_CATGCAACACGGGCTT-1", "iM.data_TCACTCGAGGATCACG-1", "iM.data_TCGCTCAGTGTTGACT-1", "iM.data_TACTTACTCAGGAACG-1", "iM.data_CCGTAGGAGGGCAATC-1", "iM.data_TAGTGCACACTCAGAT-1", "iM.data_GTGTGGCCAGCTGCCA-1", "iM.data_ATAGAGAGTTACCTGA-1", "iM.data_GTATTGGGTTGCATTG-1", "iM.data_CGTGCTTGTGGCATCC-1", "iM.data_GTTTACTCAGGTTACT-1", "iM.data_AACCATGTCGCGCCAA-1", "iM.data_GAACTGTCAATTCTTC-1", "iM.data_TGCAGATAGGTGATAT-1", "iM.data_TATCTTGTCTGTGTGA-1", "iM.data_CGATGCGTCCCACAGG-1", "iM.data_ACTTCCGAGCTCGACC-1", "iM.data_TCAGCAAGTGTCTTCC-1", "iM.data_CCCATTGCATTGGCAT-1", "iM.data_AATAGAGCAGGTACGA-1", "iM.data_TACTTGTAGGCCCGTT-1", "iM.data_ACATGCAAGCAGTAAT-1", "iM.data_AACGGGACACTCACTC-1", "iM.data_CCTCAGTGTGATCGTT-1", "iM.data_GTTACCCAGCGTGCTC-1", "iM.data_TTACAGGCACCAACAT-1", "iM.data_GAGGCCTGTCGAGCTC-1", "iM.data_TGTCAGAAGTTCTACG-1", "iM.data_TTACCATTCGCGTCGA-1", "iM.data_GTGTTCCGTCACTACA-1", "iM.data_TCATTACGTGCAACAG-1", "iM.data_AAGTTCGAGCAAACAT-1", "iM.data_CAGATACTCGTGCACG-1", "iM.data_ATTCACTCATTCGATG-1", "iM.data_TTACGCCGTCGACGCT-1", "iM.data_CTCCTCCGTTTAGTCG-1", "iM.data_TGGGCGTAGGATCATA-1", "iM.data_CCGATCTGTCAAAGAT-1", "iM.data_GAGTCATAGTTTCGGT-1", "iM.data_TGACTCCTCCCACAGG-1", "iM.data_CCATAAGAGGAGGTTC-1", "iM.data_TCATTACTCAGCACCG-1", "iM.data_GATTCGAAGCTGAAAT-1", "iM.data_GATCACAAGGATGCGT-1", "iM.data_GTTGTAGCAACGACAG-1", "iM.data_GGTTAACGTGCAACAG-1", "iM.data_GCAGTTATCCTGCTAC-1", "iM.data_CTAGACAGTATTCCGA-1", "iM.data_TTTGATCCAGGTCCCA-1", "iM.data_CAGATTGTCGGCCTTT-1", "iM.data_CCGGGTAGTCCATACA-1", "iM.data_TGTGATGGTTGCGGAA-1", "iM.data_CATCCGTAGCGCTTCG-1", "iM.data_ATCTTCAAGCTCGCAC-1", "iM.data_AGTACTGTCCCGAGTG-1", "iM.data_GGATCTATCCGATAAC-1", "iM.data_TTCACGCGTAGCGTAG-1", "iM.data_CAGCGTGCAAATGGTA-1", "iM.data_TGTGGCGGTGCCCACA-1", "iM.data_CACATGATCTTTGGAG-1", "iM.data_ACTATCTGTGGGCTCT-1", "iM.data_TGCTGAAAGCACGTCC-1", "iM.data_GAATAGATCCAATCTT-1", "iM.data_AGTTAGCAGGATAATC-1", "iM.data_ACTTATCGTATTTCTC-1", "iM.data_CATCGTCAGACCTGGA-1", "iM.data_GGGCCATCACTTTATC-1", "iM.data_CAGTGCGTCCACACCT-1", "iM.data_TCATTTGGTGAATATG-1", "iM.data_TTGGGATTCTGGGCGT-1", "iM.data_AATCGTGGTAGTCTTG-1", "iM.data_GTAGGAGAGTCATGGG-1", "iM.data_GTGCACGCACTCAGAT-1", "iM.data_TGTTACTAGCCGATTT-1", "iM.data_CTGATCCCAACGGTAG-1", "iM.data_TGCGACGGTGTGTTTG-1", "iM.data_GTCCACTCATCATGAC-1", "iM.data_CTCTGGTTCAATCTTC-1", "iM.data_CACGGGTGTCTGGTTA-1", "iM.data_ATTTCTGAGCATATGA-1", "iM.data_AGAAATGCAGTTTGGT-1", "iM.data_GAACGTTTCTGAGAGG-1", "iM.data_TGTGTGATCAAATGAG-1", "iM.data_TCGGGCAGTAACAGGC-1", "iM.data_CTTCGGTTCTACTGCC-1", "iM.data_TAGAGTCGTCAGTCTA-1", "iM.data_GATCATGAGTGATCGG-1", "iM.data_TCGATTTGTTGCGTAT-1", "iM.data_TCACTCGGTATCACGT-1", "iM.data_TACATTCAGCGTACAG-1", "iM.data_TGAGCATAGAAGCGCT-1", "iM.data_CAGAGCCCAAGACGGT-1", "iM.data_AGGAAATAGCCTGTCG-1", "iM.data_CACTTCGAGAGTTGTA-1", "iM.data_ATTGGGTTCCCTCGTA-1", "iM.data_CACTGAAGTAGGTACG-1", "iM.data_GCGATCGTCTCCCAAC-1", "iM.data_CTCATCGTCTAGCCTC-1", "iM.data_TAGACCATCGGCTTGG-1", "iM.data_TCGTAGATCCTACAAG-1", "iM.data_GTAACCACATATACCG-1", "iM.data_ACGTTCCGTCCCGCAA-1", "iM.data_GAATAGATCACCTCAC-1", "iM.data_CTAGGTACAAGAATGT-1", "iM.data_CCTCCAAGTGTGACCC-1", "iM.data_GATGAGGTCTCCGTGT-1", "iM.data_CCACTTGGTCGGTACC-1", "iM.data_TCATGGAGTGAGCCAA-1", "iM.data_GTCACGGGTGGAAGTC-1", "iM.data_AGCATCATCTTACCAT-1", "iM.data_CAGTTAGTCGTTATCT-1", "iM.data_CCGTAGGCACAGTGAG-1", "iM.data_CCACCATGTAAGTTGA-1", "iM.data_TCATGGAGTGCTGATT-1", "iM.data_CTAACTTTCAGGAAAT-1", "iM.data_CAGCAGCTCTCTGACC-1", "iM.data_TCAAGACTCTGCACCT-1", "iM.data_CCTCTAGGTTGGGACA-1", "iM.data_AATGCCAGTATCACCA-1", "iM.data_TTCCGGTGTGAATAAC-1", "iM.data_TGTTCTAAGTGAGTGC-1", "iM.data_TCACGGGAGTCCTACA-1", "iM.data_GATTGGTAGGTAGATT-1", "iM.data_AGACAAAGTCAAGGCA-1", "iM.data_AATGGAAAGATTAGCA-1", "iM.data_TTCTTCCGTGGTAACG-1", "iM.data_GTAACACTCTGTGCTC-1", "iM.data_GAGTGAGTCTCGTGAA-1", "iM.data_ATTTCTGTCTAGGAAA-1", "iM.data_AGTGACTGTGCGACAA-1", "iM.data_GGTAATCGTTGTGTAC-1", "iM.data_CGTGTCTAGCTTCGTA-1", "iM.data_TTGAGTGGTGCACGCT-1", "iM.data_TGGTTAGAGCTTTCCC-1", "iM.data_CCGTGAGCAACGTATC-1", "iM.data_CTCAAGATCCCATTCG-1", "iM.data_CGGGTGTTCGAGCACC-1", "iM.data_TTCCACGGTCGTCATA-1", "iM.data_TGTGATGGTCTTTATC-1", "iM.data_TCGGGTGTCAATGCAC-1", "iM.data_GCCCAGAAGACTACCT-1", "iM.data_ATTTCTGAGATCGCTT-1", "iM.data_AAGACAAAGCGACCCT-1", "iM.data_CTGCTCATCTCAGGCG-1", "iM.data_ATCGCCTCAGGGCTTC-1", "iM.data_GGGTTTAGTATGAAAC-1", "iM.data_TCCCACATCACTCACC-1", "iM.data_GATAGCTAGGATAATC-1", "iM.data_GGTCTGGGTAACGATA-1", "iM.data_TTCCACGGTAATCAGA-1", "iM.data_AGAACAAGTACACGCC-1", "iM.data_AACAACCGTATATGGA-1", "iM.data_CGAGTTACAAGTACCT-1", "iM.data_AGCCACGGTACCATAC-1", "iM.data_GAATCGTGTGGCATCC-1", "iM.data_TGGTGATCACAGAGAC-1", "iM.data_TCTACCGGTAAGCAAT-1", "iM.data_AGGACGAAGTTTCGGT-1", "iM.data_CTTTCAAGTAAGCGGT-1", "iM.data_GTGTTCCCAGCTCATA-1", "iM.data_CATGAGTGTGAGCGAT-1", "iM.data_GGTTGTAAGATCCCGC-1", "iM.data_TGTTACTGTACCATAC-1", "iM.data_ACGTTCCAGGTGCTGA-1", "iM.data_GACTCTCGTGCCTATA-1", "iM.data_GCTTTCGCAAATTAGG-1", "iM.data_TTCTGTAAGCCGTTGC-1", "iM.data_GATCAGTCAAACGAGC-1", "iM.data_GATTGGTCACGTCGGT-1", "iM.data_GGCTTTCGTAAGTTGA-1", "iM.data_CGTTCTGCAGGCATTT-1", "iM.data_AAGACAAGTGCCGTTG-1", "iM.data_GCTTTCGGTTATCCAG-1", "iM.data_AACCATGGTAGTCTTG-1", "iM.data_GGAAGTGGTCCGTACG-1", "iM.data_TATCTGTAGCTCTTCC-1", "iM.data_CGCATAAGTGGGTCAA-1", "iM.data_TAGAGTCAGGACATCG-1", "iM.data_AATTCCTAGTTGCGAG-1", "iM.data_CTCATGCAGCCACCGT-1", "iM.data_CCCAACTTCGTAACCA-1", "iM.data_TGACAGTAGGCCTAGA-1", "iM.data_ATGCGATAGGCCTTCG-1", "iM.data_ACGGGTCTCGCTGACG-1", "iM.data_TCGAAGTGTATAGGAT-1", "iM.data_TTCTAGTAGATGTAGT-1", "iM.data_TCACTATAGTGACACG-1", "iM.data_GCTTGGGAGAAAGCGA-1", "iM.data_TAACCAGAGCTCTGTA-1", "iM.data_GAGCTGCAGTGGGAAA-1", "iM.data_TGGGCGTGTATCACGT-1", "iM.data_CCTCCAACATCTAACG-1", "iM.data_TCCTTCTAGCCTATTG-1", "iM.data_CCACGTTCATACTGAC-1", "iM.data_TGGAGAGTCCTTCTGG-1", "iM.data_TTGAACGAGACTCCGC-1", "iM.data_GGCAGTCTCTAGTGTG-1", "iM.data_TCATGCCAGAAATCCA-1", "iM.data_CTCAACCGTGTACATC-1", "iM.data_CATTCTATCGACCAAT-1", "iM.data_GAGTTGTTCATACGAC-1", "iM.data_TTTGTTGTCCTACGAA-1", "iM.data_GGGACTCGTTACTCAG-1", "iM.data_AACACACAGTGCGACA-1", "iM.data_TGATCAGGTATTTCTC-1", "iM.data_GAGTTGTCACACCTTC-1", "iM.data_CACTGAACAGGCGTTC-1", "iM.data_GAGTCTAGTACCGTCG-1", "iM.data_ATCACGAAGACGTCGA-1", "iM.data_GTCACGGGTCACCGCA-1", "iM.data_CATACAGTCCTTCACG-1", "iM.data_TATTGGGTCTGCGAGC-1", "iM.data_GATTTCTGTTGACGGA-1", "iM.data_ATTCATCGTAGCGTAG-1", "iM.data_CTTCAATAGACTCAAA-1", "iM.data_CTATCCGGTACTGCGC-1", "iM.data_AACCAACAGACTACGG-1", "iM.data_CGAGTTAAGCCGTAAG-1", "iM.data_ACAAAGAGTATTCCGA-1", "iM.data_TCCATCGGTCGGTGTC-1", "iM.data_CGTCCATTCCATTCAT-1", "iM.data_GTCGTAAAGGAGATAG-1", "iM.data_GAAACCTGTTCAGCTA-1", "iM.data_TGAGGGATCTTTCCGG-1", "iM.data_AGAGCAGTCCTCGCAT-1", "iM.data_ATCTTCATCAGACAAA-1", "iM.data_AAGTGAAAGAGCCATG-1", "iM.data_TCGATTTAGCACCGTC-1", "iM.data_GTGTGGCAGATACCAA-1", "iM.data_TGTCAGACATTGACTG-1", "iM.data_GGGACTCAGTGCCAGA-1", "iM.data_GATCATGAGATTGACA-1", "iM.data_AGAGCCCAGGCTGTAG-1", "iM.data_ACCAAACTCTACGGTA-1", "iM.data_GTAGAGGCAATCCAGT-1", "iM.data_GACTCTCGTGACTGAG-1", "iM.data_CACCGTTGTAACCAGG-1", "iM.data_CATGGATAGTACTGGG-1", "iM.data_AGGAAATAGAAGTCCG-1", "iM.data_GTGGAGACAAAGCTCT-1", "iM.data_AGGGTCCTCCGGACGT-1", "iM.data_CCTGTTGCAAGGATGC-1", "iM.data_CAGCCAGCAGATTAAG-1", "iM.data_CGATGGCTCCCTCGAT-1", "iM.data_CACGTGGCACGTAGAG-1", "iM.data_TGAGTCAGTTCTCCCA-1", "iM.data_GTGGGAAGTCAGGCAA-1", "iM.data_TGTGCGGAGCGGGTAT-1", "iM.data_CTGTGAATCGCTCCTA-1", "iM.data_AAGCATCGTAGCACAG-1", "iM.data_GTCGTAACAGAGACTG-1", "iM.data_TTCTTGATCTGGAAGG-1", "iM.data_ATCGGCGGTGATGTAA-1", "iM.data_TGCAGATGTGTAGTGG-1", "iM.data_AATGAAGGTGCCTATA-1", "iM.data_TCGATTTCAAAGACTA-1", "iM.data_TTGTGGACAAAGCGTG-1", "iM.data_ATTACTCGTAGATTAG-1", "iM.data_AAAGGTATCCATTTCA-1", "iM.data_TTTGTTGCATAGACTC-1", "iM.data_ATGTCCCGTTCGGTAT-1", "iM.data_GTCCCATTCCAAATGC-1", "iM.data_GACGTTAAGCTGCGAA-1", "iM.data_GGACGTCAGTCAGCGA-1", "iM.data_CACACAAGTGATCGTT-1", "iM.data_AATGGCTCAGTAGAGC-1", "iM.data_TTCTTCCTCGCCTAGG-1", "iM.data_TCGCAGGTCAACTCTT-1", "iM.data_AAGCGTTTCAACTACG-1", "iM.data_TCGGATACATTGACTG-1", "iM.data_CTCCGATCAGGCAATG-1", "iM.data_ACTTTGTGTACGCTAT-1", "iM.data_GTTGCGGGTGTACAGG-1", "iM.data_CTTCAATCATAGATCC-1", "iM.data_ACTACGAAGGTTCATC-1", "iM.data_GGGATGAAGACGGAAA-1", "iM.data_CCCGAAGCAACTCATG-1", "iM.data_ATAGACCAGGGCAGTT-1", "iM.data_AGGCCACAGGACCCAA-1", "iM.data_CACCAAACACGACGAA-1", "iM.data_GAGTGAGTCTCTCGCA-1", "iM.data_TACAACGTCAGGACGA-1", "iM.data_TACTTCAAGAGTGGCT-1", "iM.data_CGTCCATCATGGGCAA-1", "iM.data_CGGGCATAGAGTCCGA-1", "iM.data_GTAGAGGCAAAGGATT-1", "iM.data_CACCAAATCGTGTCAA-1", "iM.data_GTGCACGAGCGCGTTC-1", "iM.data_GCGTTTCAGTGACCTT-1", "iM.data_GGAATGGTCAGAGTGG-1", "iM.data_GCTTCACGTGAGCAGT-1", "iM.data_GGGCGTTTCGGCTTCT-1", "iM.data_AGGTCATTCCTATGGA-1", "iM.data_TCCTTTCTCCCTCTAG-1", "iM.data_CCTCAGTAGGATCATA-1", "iM.data_GTGTTAGTCACTACGA-1", "iM.data_TGAGCGCGTTGAGAGC-1", "iM.data_AATTCCTTCTAAGGAA-1", "iM.data_ATGGAGGGTCAACACT-1", "iM.data_ATCCATTAGGATTCCT-1", "iM.data_GATTCTTGTTGGGAAC-1", "iM.data_CCGGTAGCACTACCCT-1", "iM.data_CGGGTCACACCCTCTA-1", "iM.data_TCCGTGTCAAGCACCC-1", "iM.data_GTCACGGGTCCTGGTG-1", "iM.data_CGGAGAAGTGCTCTCT-1", "iM.data_TGCGATATCTCTATAC-1", "iM.data_GAGGGATTCTGAGCAT-1", "iM.data_TCGATTTCAAACCATC-1", "iM.data_TTCCTCTCACACAGAG-1", "iM.data_CGAGTGCGTACGTAGG-1", "iM.data_TCTTTGAGTTGCCTAA-1", "iM.data_CCCGAAGTCCACGAAT-1", "iM.data_AGGACTTAGTCTGGTT-1", "iM.data_GGCTTGGGTCGTGTTA-1", "iM.data_ATTGGGTGTCATTGCA-1", "iM.data_GTGGGAAGTTGGGACA-1", "iM.data_ATGAAAGCATATCTGG-1", "iM.data_AGGAGGTTCCATGAGT-1", "iM.data_CATCAAGTCTTAGGAC-1", "iM.data_GCGGATCAGCGGTAGT-1", "iM.data_AATGAAGCACGACTAT-1", "iM.data_GATTGGTGTGCTATTG-1", "iM.data_GGACGTCTCGCCTATC-1", "iM.data_TCTATCATCATCACTT-1", "iM.data_TTTCGATAGAGCTGCA-1", "iM.data_AAGACAACAACTGTGT-1", "iM.data_TGTCCACCACGTTGGC-1", "iM.data_AGCCAATTCGCTTGAA-1", "iM.data_CGTCCATAGCGGGTTA-1", "iM.data_AGCTACAAGCATCTTG-1", "iM.data_GGAGATGCAAGTGGAC-1", "iM.data_GCACATATCGATACAC-1", "iM.data_GCGTGCAGTACTTGTG-1", "iM.data_GGAGGTACAGACGATG-1", "iM.data_TTGGGATCAAGCTGCC-1", "iM.data_GTTCATTAGCTTAGTC-1", "iM.data_AAGGAATAGAGGGTAA-1", "iM.data_GCGAGAAGTCTTGCTC-1", "iM.data_GGGACTCCAGTCGCTG-1", "iM.data_GTTAGTGTCCGATTAG-1", "iM.data_CTGCAGGCAGCATGCC-1", "iM.data_CACGAATGTAGTCGGA-1", "iM.data_ATACCGATCAAATGAG-1", "iM.data_TACCTGCTCTTTGCAT-1", "iM.data_CTCCTCCTCAGGCGAA-1", "iM.data_AGAAGCGTCATGGAGG-1", "iM.data_CCAAGCGCAGCAGTTT-1", "iM.data_CTACAGAGTCTTAGTG-1", "iM.data_TTTCCTCCACTCAAGT-1", "iM.data_TTGCATTAGTCGTCTA-1", "iM.data_TGAGGAGTCAGAGTGG-1", "iM.data_ATCAGGTTCATTCACT-1", "iM.data_ACTTTGTAGGCAATGC-1", "iM.data_TCCGTGTTCGTTAGAC-1", "iM.data_ACCTGAACAAATTAGG-1", "iM.data_ACTTATCGTTAATCGC-1", "iM.data_GCTTTCGGTTAAGAAC-1", "iM.data_CGGGTCATCTACGCAA-1", "iM.data_TAATCTCAGCTCCACG-1", "iM.data_AGAAGCGAGTGCCTCG-1", "iM.data_GTGCGTGTCTTACACT-1", "iM.data_AGTCTCCGTGGACAGT-1", "iM.data_CACAGGCGTGGTGATG-1", "iM.data_TGGATCATCGTCACCT-1", "iM.data_GCTGCAGCATGCCGAC-1", "iM.data_ACATCGATCATGCTAG-1", "iM.data_GTCGAATCAACGGTAG-1", "iM.data_ACTATTCCAAAGAACT-1", "iM.data_ATGGTTGGTTCCGGTG-1", "iM.data_TCCATCGCAGCGACAA-1", "iM.data_CTTCCTTAGGTTCTTG-1", "iM.data_GTCATGACAAGTCATC-1", "iM.data_TCTTCCTGTTAGGAGC-1", "iM.data_TGGGATTCAAAGTGTA-1", "iM.data_GTAGAGGGTTTCCATT-1", "iM.data_GCTTGGGGTCCTGGTG-1", "iM.data_GCAACCGAGGATACCG-1", "iM.data_GAGTTACAGATAGCAT-1", "iM.data_ACTGTGAGTCATAGTC-1", "iM.data_ATGAAAGAGGCAGTCA-1", "iM.data_TGTCCCAGTCGGTGAA-1", "iM.data_TAAGCCACATACATCG-1", "iM.data_GGGTTTAAGGAGGGTG-1", "iM.data_CATTCTATCTTAGTTC-1", "iM.data_CTGTGAATCGTGGACC-1", "iM.data_CTGTGAAAGACTAGAT-1", "iM.data_CGTGATAGTGCGAACA-1", "iM.data_AAATGGAGTAGATTAG-1", "iM.data_GACCGTGAGTACCATC-1", "iM.data_AAGCGAGAGGTCACAG-1", "iM.data_CTCCCAATCGCTCTAC-1", "iM.data_TTGTTTGGTAGAGTTA-1", "iM.data_AGGCCACGTTCCCAAA-1", "iM.data_CGGGTGTAGAGGTTAT-1", "iM.data_GTGTGATGTCTACAAC-1", "iM.data_GTTCATTAGGGCAGAG-1", "iM.data_GTCATGAAGGCCTGCT-1", "iM.data_CTGCATCTCAAAGGTA-1", "iM.data_GTCGAATTCTGCTGAA-1", "iM.data_GTCTGTCCAAGAAACT-1", "iM.data_TGGGCGTAGACGTCCC-1", "iM.data_GTACAACTCCCAAGTA-1", "iM.data_TGTTCATGTCGCAGTC-1", "iM.data_TTTGATCCAAAGGAGA-1", "iM.data_CCCTAACCAGAGGGTT-1", "iM.data_GAACTGTGTGATGAAT-1", "iM.data_AGCTACACACAGGATG-1", "iM.data_GTTATGGCAACAAGAT-1", "iM.data_GCACTAAGTCTTCCGT-1", "iM.data_TCCGTGTCAACCGCTG-1", "iM.data_CTGTGGGGTAGTATAG-1", "iM.data_AAGCATCCATAATGAG-1", "iM.data_TCCAGAACACGCGTGT-1", "iM.data_CGGGTCAGTGTCATGT-1", "iM.data_AGTAGCTAGTAGCATA-1", "iM.data_CATAGACAGTACCGGA-1", "iM.data_CCTCCAACAATCACGT-1", "iM.data_TGAACGTTCTGAATGC-1", "iM.data_CAACAACAGGTAGGCT-1", "iM.data_GTTAGTGAGGCTAACG-1", "iM.data_AGAAGTATCGTGTTCC-1", "iM.data_TAGTGCACATCCAATG-1", "iM.data_GGCTGTGTCCATTTAC-1", "iM.data_AATGGAATCCACTTCG-1", "iM.data_TACAACGGTATCGCTA-1", "iM.data_CCTTCAGTCTGGGATT-1", "iM.data_AACACACGTCTAGTGT-1", "iM.data_TATCCTATCCCGTGAG-1", "iM.data_ACTTTGTAGTTCTCTT-1", "iM.data_AAGCATCTCCGACAGC-1", "iM.data_TAGCACATCCAGCTCT-1", "iM.data_TCTGGCTAGACTTGTC-1", "iM.data_CACTGGGAGTCTCTGA-1", "iM.data_ACGATGTAGCATGTTC-1", "iM.data_CGATGGCAGTGTTGTC-1", "iM.data_ATCGGATGTAACATAG-1", "iM.data_CTGTACCCACGCTGCA-1", "iM.data_GTCTGTCGTCAACCTA-1", "iM.data_CCACGAGGTAGCTGAG-1", "iM.data_TCACGGGTCGTACACA-1", "iM.data_AGTCACACAAACTCTG-1", "iM.data_TCTAACTTCTCATAGG-1", "iM.data_AGGGTCCAGAGAGTGA-1", "iM.data_TGAATGCGTCTGTAGT-1", "iM.data_TGGATCACAACGAGGT-1", "iM.data_AACGGGACAGCAGGAT-1", "iM.data_TTCATGTGTAGTAAGT-1", "iM.data_CAGATACTCGAGTACT-1", "iM.data_TGGTACAGTACTAGCT-1", "iM.data_AGATGCTGTTATGGTC-1", "iM.data_TGAGCATCAGGCATGA-1", "iM.data_CCCGAAGGTAGTGGCA-1", "iM.data_AACAAGAAGATCCCGC-1", "iM.data_CGATGGCTCTTCTGTA-1", "iM.data_TTTGGAGCATTCACCC-1", "iM.data_AGGGTGAAGGTGATCG-1", "iM.data_TTACGTTTCGTGCTCT-1", "iM.data_CGATGGCGTCCGGATC-1", "iM.data_CTTAGGAGTTGACGGA-1", "iM.data_GCGGATCAGGGCCTCT-1", "iM.data_CAACAGTTCTTGAGCA-1", "iM.data_CTATCTAGTGGCAACA-1", "iM.data_ACAGCCGTCATGCCGG-1", "iM.data_TCATTACTCAAGCCGC-1", "iM.data_AAAGGGCGTGTCGATT-1", "iM.data_GAGTTGTCACATACTG-1", "iM.data_CCTAAGACAATCGAAA-1", "iM.data_ATAGACCAGAGTGTTA-1", "iM.data_GCACGGTCAGTAACCT-1", "iM.data_GAATCGTCAGTTTCAG-1", "iM.data_CATTCTAAGTCATCCA-1", "iM.data_AGTGATCAGCCTTGAT-1", "iM.data_ATTCAGGTCCTTCGAC-1", "iM.data_ATCCGTCTCAACTGAC-1", "iM.data_TGCAGATCATCGTGCG-1", "iM.data_ACATCCCGTGCGTTTA-1", "iM.data_AATGGAAAGCGTTGTT-1", "iM.data_ATTCCTATCGTGTCAA-1", "iM.data_GTGACGCAGACATAAC-1", "iM.data_TCGGGCAAGACGGAAA-1", "iM.data_TTGGTTTTCTAGGAAA-1", "iM.data_ACAACCAAGTAACAGT-1", "iM.data_ATAGAGAGTCCAGCAC-1", "iM.data_AACCTGATCACCGACG-1", "iM.data_CATCGGGTCAACTACG-1", "iM.data_GCATGATCAATAACGA-1", "iM.data_AACAGGGAGATTCGAA-1", "iM.data_CCGTTCATCGTAGCTA-1", "iM.data_GAGAAATTCTCAGAAC-1", "iM.data_GAGATGGTCCTGGGTG-1", "iM.data_TATTGGGTCATCAGTG-1", "iM.data_CTCAATTCAACTTCTT-1", "iM.data_GGGTTATTCCCAACTC-1", "iM.data_TTCGGTCGTCCCACGA-1", "iM.data_CTCAATTCACAAATAG-1", "iM.data_GAGTCTAAGCGAATGC-1", "iM.data_CTGCTCACACGTCTCT-1", "iM.data_CTCATTATCGAGCACC-1", "iM.data_AAGCCATGTGGATGAC-1", "iM.data_TATTCCAGTCTACGAT-1", "iM.data_GACATCAAGGCTCTCG-1", "iM.data_ACTTAGGGTATTTCCT-1", "iM.data_TTCAATCGTCTCGGAC-1", "iM.data_CATGGTATCATGCAGT-1", "iM.data_TGTGTGATCTCATTAC-1", "iM.data_AGCGCCACAGTTAGAA-1", "iM.data_TCTCCGATCTGAATCG-1", "iM.data_GCGAGAAAGCACAAAT-1", "iM.data_GAGGCAAGTAATCAAG-1", "iM.data_GGTGTCGGTTTCGTGA-1", "iM.data_TCCCACAGTCGATTTG-1", "iM.data_AAAGTGACATCCGAAT-1", "iM.data_GGGCTACTCAAGTCTG-1", "iM.data_GTACAGTGTGGCTGAA-1", "iM.data_CTATCTATCTGGCCGA-1", "iM.data_GTTTGGATCTTGCGCT-1", "iM.data_CCACCATCAAATTGCC-1", "iM.data_AGGGTCCAGCCTTTGA-1", "iM.data_TCGTGGGTCAGAATAG-1", "iM.data_CCGTGAGTCTGCCTGT-1", "iM.data_ACTGCAAGTGGTCCCA-1", "iM.data_AGCCAATCAGTAGATA-1", "iM.data_CAATTTCTCGATTGGT-1", "iM.data_AGTCACACAGCTACTA-1", "iM.data_TTCCGGTGTATGGTAA-1", "iM.data_TGCGGCACATCATTTC-1", "iM.data_ACAACCATCGGATAAA-1", "iM.data_ATAGACCCAGGTCAAG-1", "iM.data_CTGCGAGCACCTGCGA-1", "iM.data_ATGGGTTCAAAGTGTA-1", "iM.data_TACGTCCAGATGGCAC-1", "iM.data_CGAAGTTAGTAAACGT-1", "iM.data_TTCTCTCTCTGCGTCT-1", "iM.data_TCATTCAGTCGCTTAA-1", "iM.data_CCACGTTGTTGGTAGG-1", "iM.data_TGCACGGGTTCAACGT-1", "iM.data_TGCACGGTCGCAATTG-1", "iM.data_TAGAGTCGTCATCGCG-1", "iM.data_ACGTCCTGTGCATCTA-1", "iM.data_GATTCTTTCGTGGCGT-1", "iM.data_AGCTCAAGTCGCTTGG-1", "iM.data_GAGTTGTGTGGAGGTT-1", "iM.data_TCGGTCTCAGCACCCA-1", "iM.data_AGAACAAAGGCATCGA-1", "iM.data_CCTCCAAGTACTTCCC-1", "iM.data_GAGAGGTGTCTGTCCT-1", "iM.data_TCGTCCAGTATGTGTC-1", "iM.data_GTCATCCAGTCATCGT-1", "iM.data_TTTACGTCATGAATCC-1", "iM.data_AAAGTGACACACCAGC-1", "iM.data_TACTTACAGCCGCTTG-1", "iM.data_TTTGTTGTCTTGATTC-1", "iM.data_GCACGGTAGGCATCTT-1", "iM.data_GTCGAATAGTAGACAT-1", "iM.data_CGTGAATTCAGTCACA-1", "iM.data_AAAGAACAGCGGGTAT-1", "iM.data_TCATGCCCACTGTGAT-1", "iM.data_CATTTCACATACTTTC-1", "iM.data_ATGAAAGCACTTACAG-1", "iM.data_ACCATTTGTTAATGAG-1", "iM.data_AGCATCAAGAATAGTC-1", "iM.data_ACAGAAAAGTCACGCC-1", "iM.data_TTTCAGTGTCTTAGTG-1", "iM.data_TAAGCGTCACATACGT-1", "iM.data_CGTAATGTCATCCTAT-1", "iM.data_TGCTTCGAGCACTCGC-1", "iM.data_AAACGAATCCTGCCAT-1", "iM.data_TGCGACGCACACGTGC-1", "iM.data_GATAGAACATTCTCTA-1", "iM.data_TACAACGTCGATGCTA-1", "iM.data_CAATTTCCAGACACAG-1", "iM.data_CAAGCTAGTATCAGGG-1", "iM.data_TCCAGAAAGTAGGTTA-1", "iM.data_TCATGAGGTAGCGTCC-1", "iM.data_AGTTCGAGTTGCGGCT-1", "iM.data_TGCGGGTGTACGGTTT-1", "iM.data_CTCAGTCGTTAGAAAC-1", "iM.data_CTGGACGGTCGTCGGT-1", "iM.data_CCCTTAGTCGAACCTA-1", "iM.data_TACAGGTGTCGAGATG-1", "iM.data_TCACATTTCTGATTCT-1", "iM.data_CACTGTCTCGGAACTT-1", "iM.data_TCAGGTATCAATCGGT-1", "iM.data_CATTGTTGTGCCCACA-1", "iM.data_AGCCAATAGAGTCCGA-1", "iM.data_TAAGCACCATTGTACG-1", "iM.data_TCTAACTAGGCCCACT-1", "iM.data_AAGTGAAAGGCACGAT-1", "iM.data_GTCTAGAAGGCTCAAG-1", "iM.data_TCTTCCTCAAGACGGT-1", "iM.data_CCCGGAACAACAAGAT-1", "iM.data_GCGGAAAAGAAAGCGA-1", "iM.data_TCATACTTCCCATGGG-1", "iM.data_TGTCCACTCTACTTCA-1", "iM.data_GACTCTCAGCCGATAG-1", "iM.data_TGCTCGTCAATTGGTC-1", "iM.data_GTACAGTGTTGCGAAG-1", "iM.data_AGCCAATCACTTGGCG-1", "iM.data_CAAGACTGTCTGTGTA-1", "iM.data_ACTTCGCTCCTAGCCT-1", "iM.data_TGATTCTTCGGCTATA-1", "iM.data_TCTTTGACAACGAGGT-1", "iM.data_ACCTACCTCGCTGACG-1", "iM.data_TTTCACACATAATGAG-1", "iM.data_GGTCACGGTGCCTTCT-1", "iM.data_GGTTAACTCAAGAGGC-1", "iM.data_TCATGTTCAAGAAATC-1", "iM.data_CTCATTACACTTGAAC-1", "iM.data_TCGGATATCCCTTTGG-1", "iM.data_TCAGCAAGTCAGTCCG-1", "iM.data_CGGCAGTCACTGAGGA-1", "iM.data_GACCCTTCACAACCGC-1", "iM.data_GGAGCAATCCATTGGA-1", "iM.data_TACCTCGGTCTGTGTA-1", "iM.data_AACAACCTCTGTGTGA-1", "iM.data_TCCTTTCTCGAGTCTA-1", "iM.data_TAATCTCTCCACAGGC-1", "iM.data_TGCGATATCCTCTCGA-1", "iM.data_AAGTCGTCATTCAGCA-1", "iM.data_AGTAGCTGTATTTCCT-1", "iM.data_TGTAACGGTCATTCCC-1", "iM.data_GAATCGTTCCTCTAAT-1", "iM.data_CACAACATCTTAGCTT-1", "iM.data_CTAACCCCACGACGAA-1", "iM.data_AGAGAGCCATACAGGG-1", "iM.data_TGCTTGCTCCCAAGTA-1", "iM.data_GATTCTTTCACCTTGC-1", "iM.data_GCACGGTCACCTTCGT-1", "iM.data_TTGAACGGTGCACGCT-1", "iM.data_TGAATGCAGCTCCCTT-1", "iM.data_TTGATGGCAGCACGAA-1", "iM.data_GACAGCCCACTGATTG-1", "iM.data_TTAGGCATCCATTGGA-1", "iM.data_CACTGAAGTATCATGC-1", "iM.data_CGATCGGAGTATGATG-1", "iM.data_TGATTTCGTTTGGCTA-1", "iM.data_ACTATGGAGCCACCGT-1", "iM.data_CACTGGGAGCCTGTGC-1", "iM.data_CCCGGAAAGCACCGAA-1", "iM.data_ACCTGTCTCGTGTGAT-1", "iM.data_AGGTGTTAGACCATAA-1", "iM.data_GCCAACGCAGTGACCC-1", "iM.data_AGGATAACAGGTTTAC-1", "iM.data_CGGACACTCCCATTTA-1", "iM.data_GTAGTACAGGGTCACA-1", "iM.data_CCTTCAGTCGCAATGT-1", "iM.data_CAATCGAAGGTACAGC-1", "iM.data_AACGTCAAGTCATCGT-1", "iM.data_GGTGTCGTCAACTGGT-1", "iM.data_ATCACAGGTGGCCTCA-1", "iM.data_ATTTCTGCAGCAGTCC-1", "iM.data_CAGTGCGCACCAGCCA-1", "iM.data_CTTGATTTCTAGACAC-1", "iM.data_TGAGTCACAAGTGGGT-1", "iM.data_TTTCGATAGTCATAGA-1", "iM.data_TCAAGCACACCTTCGT-1", "iM.data_TACTTACGTGCACATT-1", "iM.data_TTACCGCCAGTGAGCA-1", "iM.data_GGTAGAGTCCCGTGTT-1", "iM.data_TCGACCTCATTAGGAA-1", "iM.data_AAACGCTCAAATTAGG-1", "iM.data_AACGTCAAGACAACTA-1", "iM.data_GGGAGATGTTTAGAGA-1", "iM.data_ACACCAAGTCATCTAG-1", "iM.data_AGCGTATAGAGTCTGG-1", "iM.data_GTTGCTCTCTATTGTC-1", "iM.data_TCCTAATCAATTCTCT-1", "iM.data_AGATGCTGTCTGTCCT-1", "iM.data_CCGGACAGTCCACACG-1", "iM.data_GGTAATCCAGGAAGTC-1", "iM.data_GTTTGGAAGCATGCGA-1", "iM.data_GTTGAACAGGCACAAC-1", "iM.data_TCGTCCAGTACTCGCG-1", "iM.data_AAATGGATCGCTCTAC-1", "iM.data_CACTGAAAGCTCATAC-1", "iM.data_GAAATGATCAGGTGTT-1", "iM.data_CCTCAACGTAGTCCTA-1", "iM.data_TGTGAGTAGTCGCTAT-1", "iM.data_TATCTGTCAAGCCCAC-1", "iM.data_GTGGCGTCAGCAAGAC-1", "iM.data_TCGGGTGAGCGACTTT-1", "iM.data_GTAAGTCAGTTGTAGA-1", "iM.data_AGAGCAGTCTGCGATA-1", "iM.data_CTTCTAAAGGTCTGGA-1", "iM.data_AACCTTTGTTATCTTC-1", "iM.data_AACACACAGCGTTCCG-1", "iM.data_ACTGATGAGGTCTGGA-1", "iM.data_TACCTGCGTGCATGAG-1", "iM.data_GGTGAAGTCGGAGTAG-1", "iM.data_CTACTATTCCTTATAC-1", "iM.data_GGGCTACGTCTCGGAC-1", "iM.data_AGGAATAGTCTGTCAA-1", "iM.data_CTCCCTCTCTCCCTAG-1", "iM.data_GAGGCCTAGCTAAGTA-1", "iM.data_AGACCCGAGCGCCCAT-1", "iM.data_AGAACAACATGACGGA-1", "iM.data_GGGCCATGTCGTATTG-1", "iM.data_GGGACTCTCCGTGGGT-1", "iM.data_TCTGGCTTCAACGTGT-1", "iM.data_TAGGGTTCACAGACGA-1", "iM.data_TAACACGGTGATACTC-1", "iM.data_CCTCAGTGTCACAATC-1", "iM.data_TCGGGACGTTACCTTT-1", "iM.data_TTCAGGACACTATCGA-1", "iM.data_AATCGTGGTGCATGAG-1", "iM.data_CGCCATTTCTGCCTGT-1", "iM.data_TGCACGGTCCGTGACG-1", "iM.data_ATTGGGTCAGAGCTAG-1", "iM.data_GGTGGCTTCCCTATTA-1", "iM.data_AGGTCTAGTGCTCTCT-1", "iM.data_GACGCTGTCGTCTAAG-1", "iM.data_TGGATGTCACGTACTA-1", "iM.data_AGCGTATAGTCGAAAT-1", "iM.data_ATTGGGTAGCTTAGTC-1", "iM.data_AGTCAACGTCCAAAGG-1", "iM.data_ATGAAAGGTTGGGTTT-1", "iM.data_TGACTCCAGGCAGGTT-1", "iM.data_CTCAAGATCTTACGTT-1", "iM.data_AGATGCTGTTAGGGTG-1", "iM.data_ATCGCCTAGCCATGCC-1", "iM.data_CAGCCAGCAAGCAATA-1", "iM.data_ACAGGGACAGCTGTCG-1", "iM.data_GCGAGAACAGTCGCAC-1", "iM.data_TCAAGCACAACAAGAT-1", "iM.data_CCGTTCACAAACCACT-1", "iM.data_TGGAGAGGTTAAGACA-1", "iM.data_TTTACCACACGACCTG-1", "iM.data_CAACCAAGTCCCGGTA-1", "iM.data_TTTGGAGAGTCCTGTA-1", "iM.data_CCCTGATCAAGTGCTT-1", "iM.data_AAAGGATTCATCACTT-1", "iM.data_ACGTCCTCACGTGTGC-1", "iM.data_GTCACGGGTATTAAGG-1", "iM.data_CAACCTCGTTTCTTAC-1", "iM.data_ATGATCGCAGTGGCTC-1", "iM.data_ATTCTTGGTCGCTTAA-1", "iM.data_CGAAGTTGTCGCCACA-1", "iM.data_AAATGGACAGTGTACT-1", "iM.data_TGATTTCGTCGGTAAG-1", "iM.data_CAGCACGTCTTCTTCC-1", "iM.data_CGTTAGACAAGCTCTA-1", "iM.data_TTCAGGAGTGCTAGCC-1", "iM.data_TCATCCGCATCGATGT-1", "iM.data_CCGGTGATCGAGATGG-1", "iM.data_AAAGGGCAGGTTACAA-1", "iM.data_TCATGGAGTTAATCGC-1", "iM.data_AAATGGATCATGCTAG-1", "iM.data_GTACAGTCAACTGCTA-1", "iM.data_TGCATCCGTGGGTCAA-1", "iM.data_CTACTATCAACGATTC-1", "iM.data_GTAGAGGAGGTGGTTG-1", "iM.data_GCACGTGGTTCGGACC-1", "iM.data_TAAGTCGGTCTTGCTC-1", "iM.data_TTCCTCTCAGGTAGTG-1", "iM.data_ACTGCAAGTCCGGACT-1", "iM.data_TGTTTGTAGACAGCTG-1", "iM.data_TTACCATCAGAACCGA-1", "iM.data_CGGGTCAAGAGAGGGC-1", "iM.data_GTCAAACCAGGTCAAG-1", "iM.data_CTCCGATAGCGAGTCA-1", "iM.data_GATTGGTCAGGAGGTT-1", "iM.data_GCATTAGTCCGTGTCT-1", "iM.data_TGAGGTTCACAAATAG-1", "iM.data_CTAGACATCGGTAGAG-1", "iM.data_GATTGGTAGGCGTCCT-1", "iM.data_GTCTTTAGTGTAGGAC-1", "iM.data_AGAACAAGTTTGTGGT-1", "iM.data_GTCATCCCAGATACTC-1", "iM.data_AGGAGGTGTATGAGCG-1", "iM.data_CCTTTGGGTGTGAATA-1", "iM.data_CCTAAGACACGTAGAG-1", "iM.data_TCAGTTTCAGAATTCC-1", "iM.data_AGCGCCAAGAAGCCAC-1", "iM.data_TTTGACTAGGGTTAAT-1", "iM.data_AAAGAACAGAGAGCCT-1", "iM.data_ATTCTTGAGGATGTTA-1", "iM.data_GAGTGTTTCCGCGATG-1", "iM.data_GGGACAACAAGTGCAG-1", "iM.data_ACTGATGCAATAACCC-1", "iM.data_ACACCAATCTTACACT-1", "iM.data_CGATGGCTCGTACCTC-1", "iM.data_GGGTCACAGGGCGAGA-1", "iM.data_TCATTGTCATAGAATG-1", "iM.data_CTCCATGTCAGACATC-1", "iM.data_CGGAGAAAGCGATTCT-1", "iM.data_TCATTTGCAAACTCGT-1", "iM.data_GTAGGAGAGTACCATC-1", "iM.data_CACATGACACGCGCTA-1", "iM.data_AAGACAACACATGGTT-1", "iM.data_AGAAGTATCCCATTTA-1", "iM.data_GAAGCGATCGACGTCG-1", "iM.data_ACGATCATCAACCTTT-1", "iM.data_AGCGATTGTCGAATGG-1", "iM.data_TGTCAGAAGCGACTAG-1", "iM.data_TCAGCAACAGAGTGAC-1", "iM.data_ACCTGAATCTGGAGAG-1", "iM.data_TGTGATGCAGGTGGAT-1", "iM.data_TCGACGGTCAGGCGAA-1", "iM.data_TGGGCGTTCTTACGTT-1", "iM.data_GTCGTAACATCACGGC-1", "iM.data_CGTCAAATCCTCCACA-1", "iM.data_GTCCTCAGTGATACAA-1", "iM.data_GAAGGACAGTCAGGGT-1", "iM.data_GCATCGGGTTGCGGAA-1", "iM.data_CCTCTCCTCAGCTGAT-1", "iM.data_GGGTTATCATGTGCTA-1", "iM.data_TTTATGCCAAGACCTT-1", "iM.data_TCGGATATCTCGGCTT-1", "iM.data_CGTCCATGTTAGTCGT-1", "iM.data_TCACACCTCTCGACCT-1", "iM.data_TACCTCGGTTCAAAGA-1", "iM.data_CCACGTTGTCTGTGGC-1", "iM.data_TCTTTGACAGCATGCC-1", "iM.data_TTCCTCTTCATTATCC-1", "iM.data_TTCGATTGTTATTCTC-1", "iM.data_GCTACCTAGAGAGAAC-1", "iM.data_CAACAACAGATAACAC-1", "iM.data_TAGTGCACATAACAGA-1", "iM.data_GGAACCCGTATCTTCT-1", "iM.data_ATTGGGTAGAGGTCAC-1", "iM.data_CAACGATTCGCCTCTA-1", "iM.data_CAGTTAGGTCGGTGTC-1", "iM.data_CCGGACACAACCAATC-1", "iM.data_TGGTAGTCAATGGGTG-1", "iM.data_GTGGGAAGTCATCGCG-1", "iM.data_TGAGGAGGTGAGTTTC-1", "iM.data_CAACCTCTCAACGTGT-1", "iM.data_GGTAATCAGTCAAGCG-1", "iM.data_GGCAGTCAGGTGCTGA-1", "iM.data_CAGCAGCTCCATTCGC-1", "iM.data_CCTCCTCTCCTAGAGT-1", "iM.data_TTTGACTAGTGTTCCA-1", "iM.data_GGGAGATCAGGCCTGT-1", "iM.data_GCCTGTTAGTGGTTCT-1", "iM.data_AGGGCTCAGTCATAGA-1", "iM.data_ATTCCCGAGAGGGTCT-1", "iM.data_CCTCATGTCTATTCGT-1", "iM.data_CCTCACAGTCGTTGCG-1", "iM.data_GTATTGGTCACCGGGT-1", "iM.data_TCTAACTGTACTAAGA-1", "iM.data_AGGGTCCCAGGAGGTT-1", "iM.data_TATCAGGCAACCGGAA-1", "iM.data_GGAATGGAGGAAGTCC-1", "iM.data_ATGAGTCGTGCCGGTT-1", "iM.data_ATTCCCGCACCAGTAT-1", "iM.data_AACACACTCGGCTTCT-1", "iM.data_CATTGAGCAGGTTTAC-1", "iM.data_CACGGGTGTAGCGTCC-1", "iM.data_CACTGGGAGACATATG-1", "iM.data_GATCACAAGGCGTTGA-1", "iM.data_GTCCACTTCCTAACAG-1", "iM.data_AGTCACACAACAAGAT-1", "iM.data_TCGGGTGCAGTAACGG-1", "iM.data_GATGATCCATGTGGCC-1", "iM.data_ACGGGTCCATATAGCC-1", "iM.data_TCGCACTGTATCGTTG-1", "iM.data_CTTCGGTAGCCTGACC-1", "iM.data_AGGTTACTCAAACGAA-1", "iM.data_ACACCAATCCGGACGT-1", "iM.data_TTGCCTGCAATAGAGT-1", "iM.data_CATGGATCAGCTCATA-1", "iM.data_GTTACGAGTCTCCTGT-1", "iM.data_CTCATCGTCTGGCTGG-1", "iM.data_CGAGGAATCGCATAGT-1", "iM.data_TCGTCCAAGTTGCATC-1", "iM.data_TTCATTGTCGACACTA-1", "iM.data_GGTGGCTCATCGAACT-1", "iM.data_AGATCGTCAGGACTAG-1", "iM.data_CAGCCAGGTGAACGGT-1", "iM.data_TCAGTTTCAGAGGACT-1", "iM.data_GAGCCTGCAGGACATG-1", "iM.data_GCATCTCAGCAGTAAT-1", "iM.data_TCAAGTGGTATCACCA-1", "iM.data_TTTACCAGTCTGCATA-1", "iM.data_AAGACAAGTAGACGTG-1", "iM.data_GCATGATGTAGCGTCC-1", "iM.data_CCCTAACCAGTGTACT-1", "iM.data_AGCCAATTCCGTAGTA-1", "iM.data_AATTTCCTCTTGAGCA-1", "iM.data_TGTAAGCTCTCAACCC-1", "iM.data_TCCTCTTAGGCCGCTT-1", "iM.data_CGGGTCAGTCAGGTAG-1", "iM.data_TCTGTCGGTAACAGTA-1", "iM.data_GGGACTCTCGGCCAAC-1", "iM.data_GTTGTGACACCAGTTA-1", "iM.data_CGCATGGAGACTTCCA-1", "iM.data_CAGATACTCCGGACTG-1", "iM.data_TAGCACAAGTGATTCC-1", "iM.data_GCAGTTACAACTACGT-1", "iM.data_TAAGTCGAGCGTTAGG-1", "iM.data_TAACCAGCAGAGCTAG-1", "iM.data_GCGTTTCAGGAACATT-1", "iM.data_TTCAGGACAATGCAGG-1", "iM.data_TCTGTCGAGACTGGGT-1", "iM.data_ACGGGTCCAATTCTTC-1", "iM.data_ACGTAGTTCTGCATAG-1", "iM.data_GTCATCCAGTTGCTGT-1", "iM.data_CAGTTAGAGAGTCAGC-1", "iM.data_ACTTTGTAGTCTGGTT-1", "iM.data_TAAGCACAGTGATAAC-1", "iM.data_AGACACTCATGTCAGT-1", "iM.data_ACTTTCAAGGAAGTGA-1", "iM.data_TAGTGCAAGGGTAATT-1", "iM.data_TGCAGTATCTCGGGAC-1", "iM.data_TCCGAAAAGTGCGCTC-1", "iM.data_AGTAGTCGTCGCACGT-1", "iM.data_TTCCTCTCAACACAAA-1", "iM.data_ATCCATTCAGATCATC-1", "iM.data_TGAGACTGTGAACGGT-1", "iM.data_TGATTTCCAGCCCACA-1", "iM.data_TAGACCAAGATGCTGG-1", "iM.data_GTTAGTGAGCACTCCG-1", "iM.data_CGCATAATCTGGTGGC-1", "iM.data_CGAGTTAAGGAACATT-1", "iM.data_CGAGTTAAGCCAACCC-1", "iM.data_CAAGGGAAGCCTTCTC-1", "iM.data_GCGTTTCAGATTGATG-1", "iM.data_CAACGATGTGTAGCAG-1", "iM.data_CGAGAAGAGGCCTTCG-1", "iM.data_CTGCGAGTCCGTAGGC-1", "iM.data_TGCTGAACACTTGGCG-1", "iM.data_TCTGTCGCAAGATTGA-1", "iM.data_AACCCAACATACCATG-1", "iM.data_ATCGTCCGTGTCATCA-1", "iM.data_TGCACGGTCACTGGTA-1", "iM.data_CACCAAAGTAATGCTC-1", "iM.data_CGGGTGTCACGACAAG-1", "iM.data_GGGTAGATCTGAGTCA-1", "iM.data_CTAAGTGAGGTCGACA-1", "iM.data_CCAATTTTCGCCAACG-1", "iM.data_GGAATGGCAACACAGG-1", "iM.data_CATCGTCAGGTGTGAC-1", "iM.data_TTGGGCGTCGGCTTGG-1", "iM.data_AGGTAGGAGTGTCATC-1", "iM.data_AGTAACCCACGTACAT-1", "iM.data_GAAGGGTGTGAGGCAT-1", "iM.data_GTAGGTTTCATACGAC-1", "iM.data_ATGGAGGCACTCACTC-1", "iM.data_CATACCCGTATTGACC-1", "iM.data_TCAAGACCAGAAGCGT-1", "iM.data_TCCGGGATCTCACGAA-1", "iM.data_AGAGCCCAGGCGAACT-1", "iM.data_AGGAGGTGTGTTTCTT-1", "iM.data_ACGTCCTTCTTGGGCG-1", "iM.data_CGCCATTTCACTGTTT-1", "iM.data_ATACCTTTCTGTAAGC-1", "iM.data_TTTATGCCAAAGGGCT-1", "iM.data_TCCGGGAGTAGTGCGA-1", "iM.data_GAGACCCAGCGATGAC-1", "iM.data_TAACACGGTAGTCTGT-1", "iM.data_GTGGTTATCGGACTGC-1", "iM.data_AACAAGAAGTATGCAA-1", "iM.data_TATTGGGTCCGGCAAC-1", "iM.data_TCAGCAATCAACCCGG-1", "iM.data_CCGGACAAGAAAGTCT-1", "iM.data_AGCGATTAGGCTTAGG-1", "iM.data_CACAGGCGTTCCCAAA-1", "iM.data_GCGTTTCTCAAGTCTG-1", "iM.data_TATTGGGGTATGTGTC-1", "iM.data_ATTTCACGTAGACTGG-1", "iM.data_CAGATTGGTTGATGTC-1", "iM.data_GAGTTTGGTTGCCGCA-1", "iM.data_TGTCCACTCGAGATGG-1", "iM.data_TCTACATGTTCCTAGA-1", "iM.data_GATCGTAGTTCCATTT-1", "iM.data_AACCTGAAGCTGGCCT-1", "iM.data_CCCTCAAAGTCTCGTA-1", "iM.data_TGTTGGAGTACAGTAA-1", "iM.data_ATGGGTTGTTGCCAAT-1", "iM.data_AGTCTCCAGTTCTACG-1", "iM.data_AAGTACCGTCCAGCCA-1", "iM.data_GTAACACGTACGCTAT-1", "iM.data_GTTGAACAGAGAGTTT-1", "iM.data_ACTTCGCGTCACCACG-1", "iM.data_AACAAGAGTATCCTTT-1", "iM.data_ATGTCTTTCATTTGGG-1", "iM.data_CTCATGCGTAGGACTG-1", "iM.data_TTCTTGATCAAGTGGG-1", "iM.data_CTCTCAGCATAGGAGC-1", "iM.data_TTATTGCGTTCCGGTG-1", "iM.data_GTGCTTCTCTCGCCTA-1", "iM.data_GAAGGACCAGGACGAT-1", "iM.data_TTGACCCCATACGCAT-1", "iM.data_GTGAGCCTCTTCCCAG-1", "iM.data_ATGTCCCTCCGAAATC-1", "iM.data_CCTACGTTCTCTGAGA-1", "iM.data_CATACCCGTTCTAACG-1", "iM.data_AAGACAAGTACCCAGC-1", "iM.data_GCAGCTGTCGTTCAGA-1", "iM.data_GTGTTAGCACAGTCGC-1", "iM.data_ATTCATCCACACTGGC-1", "iM.data_CAACGATAGTCGCGAA-1", "iM.data_CACGGGTGTGCTGCAC-1", "iM.data_ATCGATGTCCGGCAAC-1", "iM.data_ATGACCATCACTGCTC-1", "iM.data_GAACGTTCAGTCGGTC-1", "iM.data_GTGTGATTCCTCAGAA-1", "iM.data_TCATGCCCAATGACCT-1", "iM.data_TGAGGGATCCATACTT-1", "iM.data_ATACCTTAGTGGCAGT-1", "iM.data_GGTAACTGTGAAGCTG-1", "iM.data_TAACACGCACATCCCT-1", "iM.data_CGAAGGAGTGATACAA-1", "iM.data_AGACCATGTTTCGACA-1", "iM.data_TCAAGCAAGGCTCCCA-1", "iM.data_GTTTGGACATTGCTGA-1", "iM.data_GCATGATCAGTCAGAG-1", "iM.data_GAGATGGTCGAGTCCG-1", "iM.data_GGACGTCTCTGCCCTA-1", "iM.data_CATCGGGTCTGCATGA-1", "iM.data_ATCGGATTCTATGCCC-1", "iM.data_TCTACATGTTCGGACC-1", "iM.data_AGCCACGAGGGAGATA-1", "iM.data_TACTTGTAGTGTCATC-1", "iM.data_CATGGTAGTCCTCAGG-1", "iM.data_GGGTCTGAGAAGCCAC-1", "iM.data_TCTTTGACAGAGGACT-1", "iM.data_TTTCCTCGTGGCGTAA-1", "iM.data_TAAGTCGCAAGATGTA-1", "iM.data_CTCCATGTCGGTCGAC-1", "iM.data_TATCTGTAGCTGCCTG-1", "iM.data_TGTAGACTCTGCATAG-1", "iM.data_TCCCATGGTCGGCCTA-1", "iM.data_GCAACATCAAGATGGC-1", "iM.data_TCGAAGTCAGAGATGC-1", "iM.data_ATAGGCTTCGAAGCAG-1", "iM.data_TCCTCGATCTCTTCAA-1", "iM.data_TTGCTGCTCGTTCCTG-1", "iM.data_TTCGATTCAGTCTACA-1", "iM.data_AGGATCTGTAGCGTTT-1", "iM.data_CGAGGCTTCGACATTG-1", "iM.data_TCCTTTCGTAGTTCCA-1", "iM.data_TCTTCCTAGTCTGCGC-1", "iM.data_GTGAGCCAGCACCTGC-1", "iM.data_AATTCCTGTAAGTCAA-1", "iM.data_CTCCTCCCAAACTCGT-1", "iM.data_ATTCCTACACAAGCAG-1", "iM.data_CTCTCGACATATCTGG-1", "iM.data_CAAGGGAAGTAGTCTC-1", "iM.data_GTTAGACTCGCCTTTG-1", "iM.data_CGTAAGTAGTTCCATG-1", "iM.data_AAGACAATCGATGCTA-1", "iM.data_GATGATCAGACTAGAT-1", "iM.data_CTCGAGGTCGACACTA-1", "iM.data_TCTTAGTTCTAGTTCT-1", "iM.data_CACTAAGGTCACTGAT-1", "iM.data_GTCTAGAAGTTGTCGT-1", "iM.data_TTGCATTGTGAAAGTT-1", "iM.data_TTTGTTGGTGAATTGA-1", "iM.data_AGACACTGTTTGTTGG-1", "iM.data_CTCAGAATCAAGGACG-1", "iM.data_AGACACTTCGTTAGTG-1", "iM.data_GTAAGTCTCTCTTCAA-1", "iM.data_TACGTCCCAACTAGAA-1", "iM.data_TGGAACTTCCTTCTAA-1", "iM.data_CAGATTGCAGCTGTAT-1", "iM.data_TCAATCTTCAAGTGTC-1", "iM.data_TCGTCCAGTTGCAAGG-1", "iM.data_GTCCTCACACAATTCG-1", "iM.data_CAGCCAGAGACTCATC-1", "iM.data_GAGTTACCATCAGTGT-1", "iM.data_AGCGCCATCCGTGTGG-1", "iM.data_CCGAACGAGTTTGTCG-1", "iM.data_GCATTAGTCTATTCGT-1", "iM.data_TGTGATGCAGTAGTTC-1", "iM.data_TACGCTCGTACGTGAG-1", "iM.data_TGTGTGACAAGTTTGC-1", "iM.data_AGGCTGCTCGCGCCAA-1", "iM.data_ATCTTCAGTAGGCAAC-1", "iM.data_CCTAAGAAGTCTCTGA-1", "iM.data_TCACGCTGTCGTACAT-1", "iM.data_AGACACTCAATTGCCA-1", "iM.data_AGTCATGTCTATGTGG-1", "iM.data_CGAAGGAGTCTGCCTT-1", "iM.data_CGCAGGTCACAAGTGG-1", "iM.data_TATCTTGGTGCTCTTC-1", "iM.data_CCGATCTGTTCGTACA-1", "iM.data_TAGCACATCACGATCA-1", "iM.data_CTGCCATGTGGATACG-1", "iM.data_ACCATTTTCGTCCATC-1", "iM.data_TCCGTGTTCATTGCGA-1", "iM.data_AGGTCTACAAATCAGA-1", "iM.data_AGGCTGCTCACGATAC-1", "iM.data_AGCGCCAAGTGCTCAT-1", "iM.data_TTCGCTGCAGGCAATG-1", "iM.data_TAGGGTTTCGACATCA-1", "iM.data_TTGCGTCTCATCCCGT-1", "iM.data_AGTACCATCGCCTTTG-1", "iM.data_AGATAGACAGCCTACG-1", "iM.data_GATTCGACAAGTAGTA-1", "iM.data_AGAACCTGTTTAGTCG-1", "iM.data_TGCATGAGTAGTATAG-1", "iM.data_CATTCATAGATGTAGT-1", "iM.data_GCAGCTGAGTCACTGT-1", "iM.data_ATTCTACTCGCTGACG-1", "iM.data_GGTGTCGGTCTTTCAT-1", "iM.data_AACAAGAAGCTGTCCG-1", "iM.data_AGGCCACAGATGATTG-1", "iM.data_ACTTAGGAGCGTTACT-1", "iM.data_TGTTCTATCGACATAC-1", "iM.data_TCATTCATCTTACCGC-1", "iM.data_TAGGTTGAGTACCCTA-1", "iM.data_TATCAGGTCATGCCCT-1", "iM.data_CATACAGGTCGCAGTC-1", "iM.data_ATCATTCGTGGGTTGA-1", "iM.data_CTTACCGCACCTTCGT-1", "iM.data_ACTTATCCACAAGTTC-1", "iM.data_TACAGGTCAGGAGACT-1", "iM.data_AGGATCTCAAGGCAAC-1", "iM.data_CATGGATTCGGTCATA-1", "iM.data_GTTACGACATGCTGCG-1", "iM.data_TGTGCGGGTCAGACGA-1", "iM.data_CCCTAACTCATCACAG-1", "iM.data_TATTCCACAAGTTTGC-1", "iM.data_TGTTGGAGTTCATCGA-1", "iM.data_AGTCATGGTATACCTG-1", "iM.data_GTCTGTCGTCATAGTC-1", "iM.data_ATGAAAGAGATTTGCC-1", "iM.data_TGTTGGACATGGCCCA-1", "iM.data_CATGGTAAGGGCTAAC-1", "iM.data_GCACGTGAGTATCCTG-1", "iM.data_TTGGATGCAGTGTGGA-1", "iM.data_TTGGATGCATCTGCGG-1", "iM.data_GAGTTACTCGGCGATC-1", "iM.data_TCGATTTAGTGTTCCA-1", "iM.data_TCAATTCTCTCTCGCA-1", "iM.data_TTGGGTAGTTCCGCGA-1", "iM.data_TTCTGTACACGCGTGT-1", "iM.data_AACCTTTTCGTCGCTT-1", "iM.data_GTATTGGTCTGAGCAT-1", "iM.data_CTACCCACAGAGACTG-1", "iM.data_CAAGCTAAGCCGAATG-1", "iM.data_GAATCGTGTCTCTCCA-1", "iM.data_GTCTGTCAGGCTAAAT-1", "iM.data_GGAGGTAGTCCGTTTC-1", "iM.data_TTTGTTGTCTTAGCCC-1", "iM.data_TGATTTCAGCCTTGAT-1", "iM.data_CCAAGCGGTGGAGAAA-1", "iM.data_ATGAGGGCAGTCCGTG-1", "iM.data_GTTACGATCTCGAACA-1", "iM.data_TCCGGGAGTCAAAGAT-1", "iM.data_GTAACCATCTTCTGTA-1", "iM.data_GATCCCTGTCATCCGG-1", "iM.data_CGGGCATTCTAGGCCG-1", "iM.data_GCAGTTAGTACCATAC-1", "iM.data_CACTAAGTCGTTGTTT-1", "iM.data_CCACAAAGTATGTGTC-1", "iM.data_TCGCAGGTCACTTGGA-1", "iM.data_TTTACTGCAAATGGCG-1", "iM.data_TCATGAGTCGATTGAC-1", "iM.data_GACTTCCGTTCAGCGC-1", "iM.data_AGAGCAGGTGAGCCAA-1", "iM.data_GAAATGACAGCCATTA-1", "iM.data_ACCTGAACACTGAGTT-1", "iM.data_AATTCCTAGACGGTTG-1", "iM.data_GAGTCATTCCATTTGT-1", "iM.data_ACTTATCTCTATCGCC-1", "iM.data_TACAACGTCTGAGAGG-1", "iM.data_TCGACCTCATGCTGCG-1", "iM.data_TCTGGCTTCCGTTGGG-1", "iM.data_TGACAGTTCGATTCCC-1", "iM.data_AACAAAGGTACTGACT-1", "iM.data_CGAGTGCTCGCACGAC-1", "iM.data_TACCTCGGTCACATTG-1", "iM.data_GCACGTGGTGCATACT-1", "iM.data_TCTGGCTGTGATCGTT-1", "iM.data_AATGGCTTCTGGACTA-1", "iM.data_CTCAACCCATAGATGA-1", "iM.data_CCGTTCATCTCGGGAC-1", "iM.data_GATCAGTCATCTGGGC-1", "iM.data_TTTGGTTAGACGCATG-1", "iM.data_GTTTACTAGAAGCTGC-1", "iM.data_GTGCGTGGTCATCTAG-1", "iM.data_AATGGAATCCCGAGGT-1", "iM.data_CTCATTAGTTGACTAC-1", "iM.data_TCTTAGTTCGGCATAT-1", "iM.data_GGGACTCTCACTGAAC-1", "iM.data_CACCGTTAGATCGCTT-1", "iM.data_ATTCTACAGAAGTCAT-1", "iM.data_TAGGGTTGTACACTCA-1", "iM.data_CATGGATGTTAGGGAC-1", "iM.data_ACAAGCTAGTAGAATC-1", "iM.data_GTGCGTGGTATGGTAA-1", "iM.data_GTAGAGGGTCCTGAAT-1", "iM.data_ATCCACCTCAAGCTGT-1", "iM.data_GATAGAAAGAAGGCTC-1", "iM.data_AGAACAATCTTGTTAC-1", "iM.data_CTGAATGGTTGCAACT-1", "iM.data_GGTGATTGTACCATAC-1", "iM.data_TTGTTTGTCGCAGTTA-1", "iM.data_GCTTGGGCAACCGTGC-1", "iM.data_ACTGCAATCAGGCGAA-1", "iM.data_ATTTACCCAAAGTATG-1", "iM.data_CCCTCAAGTATTGAGA-1", "iM.data_GAAGAATTCTTTGATC-1", "iM.data_TGCAGGCAGAAGCGCT-1", "iM.data_TCCAGAATCCCTTTGG-1", "iM.data_CCACGAGCACTATCCC-1", "iM.data_CTTCGGTGTCTTGCGG-1", "iM.data_CCTCCTCTCGATTCCC-1", "iM.data_TCCTTTCAGTACGAGC-1", "iM.data_TTGCATTAGCAGTACG-1", "iM.data_CAGCGTGTCAAGCCGC-1", "iM.data_ATGGAGGGTAGGTGCA-1", "iM.data_CTTCCTTCAAGAGCTG-1", "iM.data_AGACTCATCCGTTGGG-1", "iM.data_AAGTCGTCACACAGCC-1", "iM.data_AGTTCCCGTCCACAGC-1", "iM.data_CTAACCCGTACCTGTA-1", "iM.data_AGGACGAGTTTGGAGG-1", "iM.data_ACCCTTGGTTACGCCG-1", "iM.data_ACTTCGCAGACTCATC-1", "iM.data_ATGAGGGTCGGAAACG-1", "iM.data_AACCCAAGTAGACGGT-1", "iM.data_TAGACTGCAGTAACCT-1", "iM.data_CCCTTAGCAGTCTTCC-1", "iM.data_GACGTTATCTCGCTTG-1", "iM.data_GAGCTGCAGTAGCATA-1", "iM.data_TGTGGCGTCGTCGCTT-1", "iM.data_AATTCCTAGTAGGAAG-1", "iM.data_ACGGGTCCAGGCAATG-1", "iM.data_GACTCTCGTGCAACGA-1", "iM.data_ATATCCTCATGAGGGT-1", "iM.data_GGAATGGTCAAGCTGT-1", "iM.data_CATCGCTAGCGCTGCT-1", "iM.data_ATTATCCAGCCTCATA-1", "iM.data_TGCTCCAAGAGGTCGT-1", "iM.data_TGCATGAAGGCATGCA-1", "iM.data_CCGGACACACCAAAGG-1", "iM.data_TCATGGATCCATCTAT-1", "iM.data_CTTCTAATCGGCTGGT-1", "iM.data_ATTCAGGGTACGATGG-1", "iM.data_AGATGAAGTACGTGAG-1", "iM.data_ATTCAGGAGGGCAGGA-1", "iM.data_ATTACTCAGGGCCAAT-1", "iM.data_CAACAGTAGTATCCTG-1", "iM.data_AGCGCTGAGCATATGA-1", "iM.data_CCAATTTAGTTGTAAG-1", "iM.data_ACGTAGTCACTAGAGG-1", "iM.data_AATGGAATCCCGAAAT-1", "iM.data_GAAGAATTCGGACCAC-1", "iM.data_CGCAGGTGTTCAGGTT-1", "iM.data_TTCCTAAGTTATTCCT-1", "iM.data_GGTAACTCAGCTATTG-1", "iM.data_TCACATTGTAGTGATA-1", "iM.data_GTGTTAGGTGCCTACG-1", "iM.data_ACTTATCCACTCGATA-1", "iM.data_GTAGGAGTCGTGGAAG-1", "iM.data_TTTCAGTGTGATTCTG-1", "iM.data_GCTTCACGTCTACAAC-1", "iM.data_CTCAACCGTCTGATCA-1", "iM.data_GTAATCGTCTTCGTAT-1", "iM.data_GGCTTTCAGTTCTCTT-1", "iM.data_GAGTTTGTCATTATCC-1", "iM.data_GTTATGGGTTCGTACA-1", "iM.data_ACCTGTCAGGATACGC-1", "iM.data_TAATTCCAGGCTCTCG-1", "iM.data_GTCTGTCTCCTTGGAA-1", "iM.data_CGTGCTTTCCTAGCTC-1", "iM.data_AGCGCCACAAATTGGA-1", "iM.data_GACTGATTCTAAGCGT-1", "iM.data_TTCAGGATCTACTTCA-1", "iM.data_GGGTCTGGTGCCCGTA-1", "iM.data_TTCCACGCAAGGGCAT-1", "iM.data_GGGTTTACACCAGCTG-1", "iM.data_TCGCTTGGTGCCTATA-1", "iM.data_CATTCATTCCCGTTCA-1", "iM.data_ATCACAGTCCATTTGT-1", "iM.data_CTACAGACACGCAAAG-1", "iM.data_TAGGAGGTCATGACAC-1", "iM.data_GGGTCACGTGAGCGAT-1", "iM.data_AGAGCAGCACCGTGCA-1", "iM.data_TTCAATCCACTAGGCC-1", "iM.data_CTGGTCTAGGGCTAAC-1", "iM.data_TTACCATAGCTTAAGA-1", "iM.data_CACGTGGTCACACCCT-1", "iM.data_ATCACTTAGTTAGAAC-1", "iM.data_CAAGGGAGTCAGGAGT-1", "iM.data_TTACCGCCAGAGGAAA-1", "iM.data_GCATGATAGGCATGGT-1", "iM.data_TTTCCTCCAGCGTGCT-1", "iM.data_TAGACCAGTCCTTGTC-1", "iM.data_ACTGTCCCAACTCATG-1", "iM.data_TAGGTTGTCCTTATCA-1", "iM.data_TTACTGTCAACGTAAA-1", "iM.data_ATCACAGAGACGGATC-1", "iM.data_CACGGGTGTATACCTG-1", "iM.data_CAATGACTCGATACAC-1", "iM.data_TGTACAGAGTTCGGTT-1", "iM.data_ATTACTCGTCTCCTGT-1", "iM.data_CATTCTATCGCAGATT-1", "iM.data_CCTCTAGAGCAATTCC-1", "iM.data_AGGTTACTCCGGTAAT-1", "iM.data_AAAGGGCGTCGAACAG-1", "iM.data_CAACCTCGTAAGCGGT-1", "iM.data_AAACGCTCAACAAGTA-1", "iM.data_ATGCATGGTCAGGTGA-1", "iM.data_GGGATCCGTATATGGA-1", "iM.data_CATTGTTGTAGCTAAA-1", "iM.data_TTGCCTGGTGGATCAG-1", "iM.data_TACACCCAGCATAGGC-1", "iM.data_AAGTCGTAGCACTTTG-1", "iM.data_GCCCGAACAGGCATGA-1", "iM.data_CATTGTTAGATAGTCA-1", "iM.data_GTTCCGTCAGTTTCAG-1", "iM.data_TGTGCGGTCCTGTTAT-1", "iM.data_ACGCACGCATGGCTGC-1", "iM.data_TGAGGGATCCGTCCTA-1", "iM.data_AGAGCAGTCGAGCTGC-1", "iM.data_TCACGGGGTGCCCACA-1", "iM.data_TATCCTAGTTCAGTAC-1", "iM.data_ACTTTGTTCTGCGGAC-1", "iM.data_TGTGTGATCGTCAAAC-1", "iM.data_TGATGGTAGGCCACTC-1", "iM.data_TCCTCTTGTGTATACC-1", "iM.data_GGTTGTAAGTATTAGG-1", "iM.data_TTCTTCCGTTTGAACC-1", "iM.data_GTAACACTCCTCACTG-1", "iM.data_GCCCAGACATACGCAT-1", "iM.data_TGTGCGGTCATTTGCT-1", "iM.data_CAACCTCAGTAGGCCA-1", "iM.data_AGGATCTCAATAGAGT-1", "iM.data_GGTAGAGAGGAAGAAC-1", "iM.data_GGGATGATCCATCCGT-1", "iM.data_GTTGTCCTCTATCCAT-1", "iM.data_GTCCCATGTTCGGTAT-1", "iM.data_TTTATGCCAATACCTG-1", "iM.data_AGAAATGCATGAGGGT-1", "iM.data_GTGACGCCACGTACTA-1", "iM.data_TAAGTCGTCTCGTGGG-1", "iM.data_GCTGCAGGTACAACGG-1", "iM.data_CCACGAGTCACTCCGT-1", "iM.data_AGGCATTGTGTGACCC-1", "iM.data_GCAGGCTCATCATTGG-1", "iM.data_GACTATGCAGGGATAC-1", "iM.data_CATGCAAAGTTGTAGA-1", "iM.data_ATCCATTAGGCTAGCA-1", "iM.data_AGGACTTCAGTGGCTC-1", "iM.data_CGAAGTTCAAAGGAGA-1", "iM.data_TCGCAGGCATGTGGCC-1", "iM.data_AGTCAACTCCAACTGA-1", "iM.data_CGCATAAGTATGCTAC-1", "iM.data_TTTACTGGTGATAGAT-1", "iM.data_GGTTCTCTCCGCACTT-1", "iM.data_TCTCACGCATATACCG-1", "iM.data_GACTGATGTTCCGCAG-1", "iM.data_GAAGGGTTCGATGCAT-1", "iM.data_AACAAGAGTTTACTGG-1", "iM.data_TTCATTGCACTTTATC-1", "iM.data_AGTACTGGTAGCACAG-1", "iM.data_GATGATCAGTTTGAGA-1", "iM.data_TCATACTCAGTCGTTA-1", "iM.data_TTCCTTCCAGGAATCG-1", "iM.data_CCTGTTGTCTACACAG-1", "iM.data_TCAGTTTAGACTTCGT-1", "iM.data_ACTGATGTCAAGAGGC-1", "iM.data_TCCGAAATCGCACGAC-1", "iM.data_TACCTGCTCGTTGTAG-1", "iM.data_CGGAACCTCGTCTCAC-1", "iM.data_ACTCCCAGTATACCCA-1", "iM.data_GGCAGTCTCTAGTACG-1", "iM.data_GGGTGTCGTCAAAGTA-1", "iM.data_AATCGTGGTAGCTCGC-1", "iM.data_CAAAGAATCTATTTCG-1", "iM.data_ACGTTCCAGTTCAACC-1", "iM.data_CAGCAATAGTCTAACC-1", "iM.data_ATGAGTCGTTAAGGGC-1", "iM.data_GGTTGTAAGTGCAGGT-1", "iM.data_ATCGTAGCAAGTGTCT-1", "iM.data_TTGTTGTCAGCTACTA-1", "iM.data_TTCTGTAAGCCACAAG-1", "iM.data_CTTGAGACATAAGCAA-1", "iM.data_TCCTCCCAGAATCGAT-1", "iM.data_TCATCATGTGTGTCGC-1", "iM.data_ATAGGCTCAATTGCGT-1", "iM.data_GCCAGGTGTAGGGTAC-1", "iM.data_AGCATCACATCACGGC-1", "iM.data_ACGGAAGGTGAAGCTG-1", "iM.data_GCTGAATGTCCTCAGG-1", "iM.data_CCAATGACAGTGAGCA-1", "iM.data_CTGGACGCAACTTGCA-1", "iM.data_CTGTGGGGTCAGACGA-1", "iM.data_TGTTCATCATGTGGCC-1", "iM.data_TGCCGAGTCTGCCTGT-1", "iM.data_TCAAGACAGCCTGAGA-1", "iM.data_ACACCAAAGCGTTCAT-1", "iM.data_TGAGCATCAGGCCTGT-1", "iM.data_GGGAGTAAGTAGACCG-1", "iM.data_GAGTGTTGTTGTAGCT-1", "iM.data_AGGGCTCCACAAACGG-1", "iM.data_ATTACTCTCCTTATCA-1", "iM.data_TCAATCTTCAGCCCAG-1", "iM.data_CTCAATTGTTGAGTCT-1", "iM.data_ACTTATCGTCGTACAT-1", "iM.data_GGGCGTTTCGCAATGT-1", "iM.data_AGGTTACGTGATGTAA-1", "iM.data_CCAAGCGAGGTCGCCT-1", "iM.data_ATCAGGTTCAGACCGC-1", "iM.data_AGCTTCCGTCTACGAT-1", "iM.data_TATTCCATCCGACATA-1", "iM.data_CTCTCAGGTAGCTTAC-1", "iM.data_ACGGTCGGTGTTAAAG-1", "iM.data_TCCAGAAAGACGCCAA-1", "iM.data_AGTGTTGCACAGCTGC-1", "iM.data_CTGTACCGTCAACACT-1", "iM.data_CACAGATTCCGCATAA-1", "iM.data_TATCCTATCATGTCAG-1", "iM.data_TCTATCATCTTTCCAA-1", "iM.data_ACTGTGATCTCGCCTA-1", "iM.data_TAACGACTCTTCTGGC-1", "iM.data_CACTAAGCACTACCGG-1", "iM.data_ACCCAAAAGGGACCAT-1", "iM.data_ATCCACCGTTGCCAAT-1", "iM.data_TCCCATGGTACAAAGT-1", "iM.data_TCATACTTCCCATAGA-1", "iM.data_ATCACGATCAATCCGA-1", "iM.data_TCAGTTTCAAGACTGG-1", "iM.data_GACGTTAGTTAGCTAC-1", "iM.data_GGACGTCCACTTCCTG-1", "iM.data_CTAACCCAGGGAGGTG-1", "iM.data_TGGTGATCATCATTGG-1", "iM.data_ATTCAGGCAGTAGGAC-1", "iM.data_GATAGAAGTGGATCAG-1", "iM.data_TAAGTCGGTCCACTTC-1", "iM.data_AGCTCAATCCAGTGTA-1", "iM.data_GACTTCCGTTCTCTCG-1", "iM.data_GGTTCTCAGAGGCGTT-1", "iM.data_TCAAGTGCAAACTCTG-1", "iM.data_GAGTTGTTCAACTCTT-1", "iM.data_TCCACCAGTTCTCCTG-1", "iM.data_TTCTTGATCTTCGGAA-1", "iM.data_ATTCCCGGTCGCGTCA-1", "iM.data_TACGGTAGTGCTCTCT-1", "iM.data_CTCCAACGTGCATACT-1", "iM.data_CGTCAAAAGCTCTTCC-1", "iM.data_GTCGCGATCCTGTTAT-1", "iM.data_TGGAGGACAGCTACAT-1", "iM.data_TGACGCGGTTAGTCGT-1", "iM.data_GTCATTTTCACCACAA-1", "iM.data_CCGGACACAGTCGCTG-1", "iM.data_ACAACCAGTGGACAGT-1", "iM.data_AACCAACTCGCAGAGA-1", "iM.data_GACTGATTCACCACAA-1", "iM.data_CCTCAGTCAGCTACTA-1", "iM.data_GATCCCTGTGTTGACT-1", "iM.data_AAAGTCCGTTGCCATA-1", "iM.data_TCGTAGAGTCTACGAT-1", "iM.data_AGTGATCGTGTCGCTG-1", "iM.data_GTGTTAGTCTAGATCG-1", "iM.data_GAAATGATCTGGTTGA-1", "iM.data_CAGGCCACAGGTTCCG-1", "iM.data_ACTACGAGTAATTGGA-1", "iM.data_AGTTAGCAGCTCCACG-1", "iM.data_TCGAACATCTGACCCT-1", "iM.data_GCCAGCAGTTTCAGAC-1", "iM.data_TGTGGCGGTTTCGTAG-1", "iM.data_ACTATTCAGGTTAGTA-1", "iM.data_AGGGTTTTCCATCTAT-1", "iM.data_CATAAGCAGTTGCCTA-1", "iM.data_GTTACAGGTTTGGCTA-1", "iM.data_GCAACATTCCATGCAA-1", "iM.data_ACAAGCTCAGATTCGT-1", "iM.data_AACAGGGTCCCACAGG-1", "iM.data_TTGGATGGTTGGCTAT-1", "iM.data_TACCTGCCATACAGGG-1", "iM.data_GAAGAATCACCGTCTT-1", "iM.data_AGTCTCCTCTCGCTTG-1", "iM.data_AGGCTGCCAGCGAACA-1", "iM.data_TCCTTCTTCTCGAGTA-1", "iM.data_GGAGATGTCCCAGGCA-1", "iM.data_CTCCCAACATGTGACT-1", "iM.data_TGAGACTAGATCGCTT-1", "iM.data_CGGGCATAGAATCCCT-1", "iM.data_ACCAAACAGCCAGACA-1", "iM.data_ATGATCGGTCGATTTG-1", "iM.data_TGTAAGCTCAAGCTGT-1", "iM.data_TCAGTCCAGTGGAATT-1", "iM.data_GTGGCGTAGCCTATTG-1", "iM.data_TCAAGCAGTCGCCACA-1", "iM.data_TAACTTCGTGTCTAAC-1", "iM.data_TAGACCAGTAGCTGCC-1", "iM.data_ACCCTTGAGTCATCCA-1", "iM.data_AGACAAACATGTGCCG-1", "iM.data_TACATTCTCCCTCATG-1", "iM.data_AACCAACGTCGTACTA-1", "iM.data_CGCGTGAGTTAATCGC-1", "iM.data_ATAGAGAAGACATATG-1", "iM.data_TGATGCACATTGTGCA-1", "iM.data_GATCAGTTCCCTCTCC-1", "iM.data_AGTCTCCGTCGATGCC-1", "iM.data_GACTATGAGCTACTAC-1", "iM.data_CTCAGGGGTGATAGAT-1", "iM.data_AATGAAGAGAGAGCCT-1", "iM.data_CACCAAAGTGATCGTT-1", "iM.data_TGGTACAGTCTTCAAG-1", "iM.data_GACGTTACATCAGCTA-1", "iM.data_CTCCATGTCTTGTTAC-1", "iM.data_CTGGACGCATACACCA-1", "iM.data_AGTCTCCGTCTCGCGA-1", "iM.data_GTATTTCTCCTCTCTT-1", "iM.data_ATTCAGGGTCGAATTC-1", "iM.data_ATGAGTCGTACTGGGA-1", "iM.data_AGCATCATCTGTCCGT-1", "iM.data_GGTCACGCACCCGTAG-1", "iM.data_AGTGTTGAGCACTCGC-1", "iM.data_TACTGCCTCCAACTAG-1", "iM.data_TCGGTCTAGTCTCGTA-1", "iM.data_TCATCCGGTGTTCAGT-1", "iM.data_CATCGCTTCTTCTAAC-1", "iM.data_TTCTTGACAGATGCGA-1", "iM.data_TCATATCAGAGCCGTA-1", "iM.data_GTCAAGTTCTTAGCCC-1", "iM.data_ACGTACACAAATCAAG-1", "iM.data_GATGGAGCATTGTACG-1", "iM.data_CATCGCTCATGACGTT-1", "iM.data_TCACGCTGTGCTTCAA-1", "iM.data_TGCACGGCACCAGCGT-1", "iM.data_CAGCGTGTCTTTGCGC-1", "iM.data_CTTCAATGTGTCTTCC-1", "iM.data_TACTGCCCACAGGATG-1", "iM.data_TTGATGGCACGAGGTA-1", "iM.data_CGGCAGTGTCCGGTCA-1", "iM.data_CTGAGGCAGTATGAAC-1", "iM.data_TTTGTTGAGTCATGGG-1", "iM.data_AAAGGATAGCTGACAG-1", "iM.data_CCTAAGACAACTGCTA-1", "iM.data_CCCTCTCAGTAGGTTA-1", "iM.data_CGTGAATCACACACGC-1", "iM.data_CGTGCTTGTGTACAGG-1", "iM.data_TCAGTTTCAAGCGAGT-1", "iM.data_AGATAGAGTCTCAGAT-1", "iM.data_AGCCAATGTAGAATAC-1", "iM.data_TGCTCGTCACGACGTC-1", "iM.data_TTGTTTGGTCCGGCAT-1", "iM.data_GTAAGTCCAACTAGAA-1", "iM.data_CAAGCTAAGTCCCGAC-1", "iM.data_CATCCCAAGCACTCTA-1", "iM.data_CGAGGCTAGTTACTCG-1", "iM.data_TGGGCTGCACATATGC-1", "iM.data_TTCCTTCTCGTGTGAT-1", "iM.data_ATTTCACGTATCGCAT-1", "iM.data_CTCCGATAGAAGAGCA-1", "iM.data_TGTTTGTCATCTTAGG-1", "iM.data_GCAACCGTCAGCAATC-1", "iM.data_CCTTGTGAGGACCCAA-1", "iM.data_GCAGCTGAGCGTTCCG-1", "iM.data_GTGAGCCTCAGGAACG-1", "iM.data_ACTATTCTCCCAAGCG-1", "iM.data_TCACTATTCGAGAGAC-1", "iM.data_TCGAACAAGTGGATAT-1", "iM.data_TTCTTGAGTGAGTAAT-1", "iM.data_GAGGCCTGTAGCTGCC-1", "iM.data_AGGCCACAGAGTTGCG-1", "iM.data_CCTCTCCAGTAGACCG-1", "iM.data_CTGCCATCAACGACAG-1", "iM.data_TAACACGAGTTACGTC-1", "iM.data_AGGCATTAGGGCTGAT-1", "iM.data_AACAGGGTCTGACAGT-1", "iM.data_AGGAATAGTCTACAAC-1", "iM.data_TCCTTTCAGCGCAATG-1", "iM.data_GTTACAGGTCATCTAG-1", "iM.data_ATAGGCTAGATTGATG-1", "iM.data_CTGGACGGTCGCATTA-1", "iM.data_TCAGTTTTCATCACCC-1", "iM.data_AGTAGTCCATAGACTC-1", "iM.data_ATGCGATGTTGGAGGT-1", "iM.data_CATCGCTGTAATACCC-1", "iM.data_CTAACCCCACATACTG-1", "iM.data_TGAGGTTGTGGTAACG-1", "iM.data_TAAGCGTAGGGTTAGC-1", "iM.data_CAATTTCCAGTAACCT-1", "iM.data_CATGAGTAGTAGCCAG-1", "iM.data_GCCAACGTCTGGCCGA-1", "iM.data_TCGCTCACACAATGTC-1", "iM.data_ATGAAAGTCGCCAGTG-1", "iM.data_GTATTTCAGGTCCAGA-1", "iM.data_TACTTCATCCGCACGA-1", "iM.data_CATAAGCCACATGGTT-1", "iM.data_TAATTCCCAGCTTTGA-1", "iM.data_TTCCAATGTACGAGCA-1", "iM.data_AGATGAAAGTGTTCCA-1", "iM.data_CCCTTAGCAAACGAGC-1", "iM.data_TCATCATCAATCTCGA-1", "iM.data_GTGGAAGCATTACTCT-1", "iM.data_CAAGGGAGTTGCCGAC-1", "iM.data_GGCTGTGAGCCGCTTG-1", "iM.data_ACACAGTCACGCGTGT-1", "iM.data_ATCATTCCAGAGCTAG-1", "iM.data_CTTCCGACAACGACTT-1", "iM.data_TCTCCGAGTACATACC-1", "iM.data_ACGTACACACTTTAGG-1", "iM.data_TTCAATCGTATCAGCT-1", "iM.data_ATGGATCAGACGACGT-1", "iM.data_AGTCACATCGGTGAAG-1", "iM.data_AGGTCATCATAGGCGA-1", "iM.data_GCACATATCACATTGG-1", "iM.data_CCTCATGTCGAAATCC-1", "iM.data_ACGATCACAGGTGGAT-1", "iM.data_CTCAACCTCCCATTTA-1", "iM.data_ACCTGTCTCGTTGTAG-1", "iM.data_TCAGGTATCTGGGCAC-1", "iM.data_TCCCAGTAGGGTTGCA-1", "iM.data_GACTCTCTCTACTGCC-1", "iM.data_TCGTCCACATGTTTGG-1", "iM.data_CTACTATTCCTGTACC-1", "iM.data_GTCAAACCAGGCCTGT-1", "iM.data_TCATTCAAGCTTCTAG-1", "iM.data_AATGAAGAGACATAGT-1", "iM.data_CCTCCAAAGATGACCG-1", "iM.data_TAGACTGCAGAGGCAT-1", "iM.data_CATGGTATCTGGTGCG-1", "iM.data_AGTTAGCAGGCGAACT-1", "iM.data_TCGACCTGTCTGTGTA-1", "iM.data_CTGTGAACACTTCAGA-1", "iM.data_GGGACAACAGCTACTA-1", "iM.data_TCACATTTCTGCTAGA-1", "iM.data_ACTATCTAGTAGCAAT-1", "iM.data_TGCTCCATCGAACACT-1", "iM.data_TCCTAATTCGTTCAGA-1", "iM.data_GGTGGCTCAGAATTCC-1", "iM.data_CCTGCATGTGGAGAAA-1", "iM.data_TTGGATGTCCTTCTAA-1", "iM.data_GAGGGATAGCCTGCCA-1", "iM.data_TACCTGCGTCATAACC-1", "iM.data_CCCTAACTCTTCTGGC-1", "iM.data_CATGCTCAGAAACTCA-1", "iM.data_CCCGAAGCAGCAGTGA-1", "iM.data_AAAGAACCACTCGATA-1", "iM.data_ACTGTCCCAGTCACGC-1", "iM.data_AGTACTGGTCGTATGT-1", "iM.data_TTCTTGAGTGCTGTCG-1", "iM.data_CTCACTGGTAGATCCT-1", "iM.data_TGCAGTAAGCCTGACC-1", "iM.data_TGAGGAGAGACCTTTG-1", "iM.data_GTTCTATCATACTTTC-1", "iM.data_AGGAAATTCCACAGCG-1", "iM.data_GGGCTACTCGTGGAAG-1", "iM.data_CCGGGTACAGCTGGTC-1", "iM.data_TAGGTTGCAGCGAACA-1", "iM.data_ATCCCTGAGGACTTCT-1", "iM.data_TTCACGCCATGTCAGT-1", "iM.data_GGTGGCTTCGCACTCT-1", "iM.data_AAGACAAAGTTGCATC-1", "iM.data_TCGCACTTCACTACTT-1", "iM.data_GAATAGACACCGTGCA-1", "iM.data_TACCGAATCACCTGTC-1", "iM.data_AGGCCACAGTAATACG-1", "iM.data_CAATCGAAGAATCTAG-1", "iM.data_GTTAGACTCTTGCAAG-1", "iM.data_AGGCCACCAAGTGCTT-1", "iM.data_TGGTGATGTGAGCAGT-1", "iM.data_TCATCCGTCGACCACG-1", "iM.data_CATCAAGGTGATGGCA-1", "iM.data_GTGAGTTTCTGTTGGA-1", "iM.data_TGGAGGATCAGTGATC-1", "iM.data_ATCACGACACACGTGC-1", "iM.data_ATTCAGGTCACTCACC-1", "iM.data_CTAACCCGTTGTGTAC-1", "iM.data_CCTCAGTTCTCATGCC-1", "iM.data_GGGTATTTCAATCCGA-1", "iM.data_ATGGGTTTCATGAAAG-1", "iM.data_CCTCCAACACAGTCAT-1", "iM.data_GCAACCGTCTGTACAG-1", "iM.data_GACAGCCCAGTCGAGA-1", "iM.data_ACGTAACGTAGTCTGT-1", "iM.data_TCTGGCTCACCAGACC-1", "iM.data_GAGTTACCAGCTCCTT-1", "iM.data_AATGACCGTCCGAAAG-1", "iM.data_TCACTCGGTCACGCTG-1", "iM.data_AGGCCACTCATTTCGT-1", "iM.data_CACTGGGAGCTGCCTG-1", "iM.data_GGTGGCTGTTAAAGTG-1", "iM.data_CTCAGAATCGTGCTCT-1", "iM.data_CGTGCTTGTGTGGACA-1", "iM.data_GAGTGAGGTCGGTGTC-1", "iM.data_TCACGCTCATGTGTCA-1", "iM.data_AAGACTCTCAAGAGTA-1", "iM.data_CCCTCAAGTTTGCAGT-1", "iM.data_GTAGAAAAGCCTGTCG-1", "iM.data_TGACTCCAGCAATTCC-1", "iM.data_CCGTAGGCAGATCCTA-1", "iM.data_TCCTCTTGTCGTATGT-1", "iM.data_GTGATGTCAGGAAGTC-1", "iM.data_GTCTGTCGTCGTAATC-1", "iM.data_GCAACCGGTGGATCGA-1", "iM.data_GTTCATTTCCCGTGTT-1", "iM.data_GAGCCTGGTCAGGTAG-1", "iM.data_CCGTTCAAGTCCCAAT-1", "iM.data_CAACAGTGTGGCTTAT-1", "iM.data_AAGATAGGTAGACACG-1", "iM.data_TAGAGTCTCGGCTCTT-1", "iM.data_AACCCAACAAGGCGTA-1", "iM.data_CATTGAGTCGTGGCTG-1", "iM.data_GAAGGACAGGTCGTAG-1", "iM.data_GACTCAATCTGGCCAG-1", "iM.data_TCATTCATCTATGTGG-1", "iM.data_AGGGCTCAGCATACTC-1", "iM.data_GTTATGGAGTCTAGCT-1", "iM.data_CATCCCAAGAAATTCG-1", "iM.data_ATGCGATGTAGCTTTG-1", "iM.data_AGCCAATTCGGTTCAA-1", "iM.data_GACTCTCTCCGTAGGC-1", "iM.data_GTGACGCCACACGGAA-1", "iM.data_ACAACCACACACAGCC-1", "iM.data_CACGTTCTCGGCATTA-1", "iM.data_TGTAAGCCAACACAAA-1", "iM.data_TACAGGTAGCTCAGAG-1", "iM.data_TCAATCTAGTAATTGG-1", "iM.data_TCATGAGAGTAGCAAT-1", "iM.data_GGTCACGTCAACTGGT-1", "iM.data_GGGATCCGTGCATTTG-1", "iM.data_CTGAGGCGTTGTTGAC-1", "iM.data_CTCAAGACAACGCCCA-1", "iM.data_CTGGTCTGTAGGATAT-1", "iM.data_AGATAGATCTATCCAT-1", "iM.data_CCTCATGTCAAGGTGG-1", "iM.data_AGAACCTCAGGGAATC-1", "iM.data_TAAGCCATCTCGTGAA-1", "iM.data_CTCACTGGTAATACCC-1", "iM.data_GTTCGCTTCCGCTGTT-1", "iM.data_TTGGGATTCAGACTGT-1", "iM.data_GCATGATTCAGCACCG-1", "iM.data_CGTCAAAAGGCAGCTA-1", "iM.data_AGACAGGAGCACGATG-1", "iM.data_CTGTAGAGTTGCCGCA-1", "iM.data_AACACACTCCACAGCG-1", "iM.data_CTGATCCTCAGCATTG-1", "iM.data_GGAACCCGTGTTAAAG-1", "iM.data_CTACCTGTCTAGCCAA-1", "iM.data_CGACAGCAGCGTATAA-1", "iM.data_TTACAGGAGGTCGAGT-1", "iM.data_AGTACCAAGCCACTCG-1", "iM.data_CGCATAACAATAGGGC-1", "iM.data_TAGATCGAGGAGAGTA-1", "iM.data_CAAGGGATCTCGTGGG-1", "iM.data_CGTAATGTCGACGCTG-1", "iM.data_TGTCCCACACATCATG-1", "iM.data_ATTCATCTCGTAGTGT-1", "iM.data_ATTCTACGTGTGTCGC-1", "iM.data_TGAACGTCATGGTGGA-1", "iM.data_TGATGGTTCTGCATGA-1", "iM.data_AAGATAGAGAGAGCGG-1", "iM.data_GTCACGGTCATGTCAG-1", "iM.data_TTCCTAAGTCTCAAGT-1", "iM.data_GTGCAGCTCAAGCTGT-1", "iM.data_CTGGCAGAGGTACAAT-1", "iM.data_AGTAACCAGAGTCAAT-1", "iM.data_CGCATGGGTGAGCTCC-1", "iM.data_TAGACCACAACCAATC-1", "iM.data_GTTAGTGTCTACTCAT-1", "iM.data_CTTCGGTGTGGCAGAT-1", "iM.data_GTTCATTGTAAGATCA-1", "iM.data_TCAGGGCCAATTGGTC-1", "iM.data_AGTCACAGTTCAAGGG-1", "iM.data_CGGAATTCACATTCGA-1", "iM.data_GGGTTTACAGTAGTTC-1", "iM.data_AGGTCTATCGCTACGG-1", "iM.data_CAAGCTAGTTCCTTGC-1", "iM.data_TAGACTGCACGTATAC-1", "iM.data_ACGGGTCGTTAAGCAA-1", "iM.data_TACCGAACACAACGCC-1", "iM.data_AAGATAGGTAATTGGA-1", "iM.data_ATAGACCCAGAGTCAG-1", "iM.data_GGTGAAGAGACTTCAC-1", "iM.data_ATAGAGATCTGACAGT-1", "iM.data_CATTGCCCAGCGTTTA-1", "iM.data_TCATTGTTCCACTTCG-1", "iM.data_AACCATGAGAGTAACT-1", "iM.data_CTCCTCCAGTCACACT-1", "iM.data_AGGACGATCGCGATCG-1", "iM.data_AACCATGGTTGGGTTT-1", "iM.data_TGCATCCTCGGACTTA-1", "iM.data_TCCTAATCACCGTCTT-1", "iM.data_CTACCTGGTTAGGGAC-1", "iM.data_AGGATAAGTTGGACCC-1", "iM.data_TAACCAGCATAACCCA-1", "iM.data_CTTACCGTCTCTCCGA-1", "iM.data_TGCTCGTAGTAACAGT-1", "iM.data_TACTTGTTCAGTCTTT-1", "iM.data_TTCTGTATCTCGTGAA-1", "iM.data_AACCTGAAGGTCCCGT-1", "iM.data_TCAGCAAGTCTTTCTA-1", "iM.data_CTAACCCAGTAAACAC-1", "iM.data_CTTCTCTGTATCAGGG-1", "iM.data_ATACTTCAGCAGGGAG-1", "iM.data_ATGACCAGTAGGTGCA-1", "iM.data_GTAATGCTCCATACTT-1", "iM.data_AAGCATCCATGACTCA-1", "iM.data_GACCCAGAGCCAGACA-1", "iM.data_TCATTCATCTTCTTCC-1", "iM.data_TTTGATCCAGGTTCGC-1", "iM.data_TTTGGAGAGTCAAGCG-1", "iM.data_CGCGTGAGTTAGTTCG-1", "iM.data_GGTAGAGCATTCTCTA-1", "iM.data_GTTGCTCCATTCATCT-1", "iM.data_TCATTGTAGAGGCTGT-1", "iM.data_CTTCTCTTCGGATACT-1", "iM.data_AGGTTGTTCCTCAGGG-1", "iM.data_CTGTGAACAGAGCCCT-1", "iM.data_ATTTCTGGTCACTTCC-1", "iM.data_TGCGACGTCGGAACTT-1", "iM.data_AACAACCAGTGACCTT-1", "iM.data_GCTGGGTGTTCTTCAT-1", "iM.data_GAGGCAATCTGAGAAA-1", "iM.data_TGATGGTAGGGCGAAG-1", "iM.data_ATGAAAGGTCTTGCGG-1", "iM.data_CGAGAAGGTATTGCCA-1", "iM.data_GACCAATCATTCGATG-1", "iM.data_ATGAAAGTCCTTCGAC-1", "iM.data_CAATGACCACCCTCTA-1", "iM.data_AATGACCAGACTGGGT-1", "iM.data_GGGTTTAGTTGGAGAC-1", "iM.data_GAACTGTAGGTATTGA-1", "iM.data_GCGTGCATCATTTCGT-1", "iM.data_CACGTTCAGTAAGAGG-1", "iM.data_TGGGCGTTCTGAATCG-1", "iM.data_TATTCCACAACTCCCT-1", "iM.data_AAGGTAAGTTAGGGTG-1", "iM.data_ACTTTGTGTCAATGGG-1", "iM.data_GTTATGGGTCTGTGTA-1", "iM.data_CATACCCTCTGGTCAA-1", "iM.data_ACTATTCAGGCGATAC-1", "iM.data_TCAGCAATCTAACACG-1", "iM.data_TATCCTACAGCCTTCT-1", "iM.data_TATACCTCACTGAGGA-1", "iM.data_AGACCATAGTCACTGT-1", "iM.data_GTTACGATCTGTAACG-1", "iM.data_CCAATGAGTTACGGAG-1", "iM.data_GTTGCTCAGAGTCCGA-1", "iM.data_GTCTGTCCATAGACTC-1", "iM.data_ATTACCTGTCAACGCC-1", "iM.data_CGTCCATCATGAATCC-1", "iM.data_CGTAATGCACCAATTG-1", "iM.data_ATGAGTCCAAGTGACG-1", "iM.data_CCCATTGCAGAACTCT-1", "iM.data_AGTCAACGTCTTGAGT-1", "iM.data_CTCAAGATCCATGCAA-1", "iM.data_GTGTGATTCGTTCCCA-1", "iM.data_GATTCTTTCCACTAGA-1", "iM.data_ACGATCAAGTCTCCTC-1", "iM.data_GCGGAAACACCCGTAG-1", "iM.data_TCATCCGAGCATCAGG-1", "iM.data_CCCTTAGGTCGCAACC-1", "iM.data_GTGCGTGAGATGAACT-1", "iM.data_ACCCTTGAGCATATGA-1", "iM.data_GTGTTCCCATGGGTTT-1", "iM.data_GAAGTAATCACTGAAC-1", "iM.data_GAGTTTGTCTAACGCA-1", "iM.data_GAAGCCCGTAAGTTGA-1", "iM.data_GTGAGCCTCAGGACGA-1", "iM.data_GACCTTCCACGCTATA-1", "iM.data_TACTTGTTCGAACCTA-1", "iM.data_TCAAGTGCATCATTGG-1", "iM.data_GAGTGTTGTCAAAGTA-1", "iM.data_ACTTAGGCAGATCCAT-1", "iM.data_CATGCTCCAGAGGAAA-1", "iM.data_AAGACAAAGGCCTGAA-1", "iM.data_AAGCCATTCATCGCAA-1", "iM.data_ACAGGGATCGCACTCT-1", "iM.data_GGGCTACAGCCACTCG-1", "iM.data_TGGAGGAGTGGAAATT-1", "iM.data_AGCCAGCAGCCGGAAT-1", "iM.data_GAGTTGTTCCATAGGT-1", "iM.data_TCCTTTCTCGTGGCTG-1", "iM.data_ATGAAAGAGTCATCCA-1", "iM.data_ATTCTTGGTACGGGAT-1", "iM.data_CTGTGAACAATCTCGA-1", "iM.data_TACCGGGAGTTAGTAG-1", "iM.data_AACAACCAGCCTCTGG-1", "iM.data_TCGCAGGCACCCATAA-1", "iM.data_CCACAAAGTCTAGGTT-1", "iM.data_CCCTTAGAGCGAGTCA-1", "iM.data_ACAAGCTCACTAGGTT-1", "iM.data_TATTTCGAGCTGGCTC-1", "iM.data_TTGACCCCACAGACGA-1", "iM.data_GGCACGTGTTAGCGGA-1", "iM.data_TCCGATCGTATCGAGG-1", "iM.data_TCAAGCAGTGGCTGAA-1", "iM.data_CGTGAATAGACCACGA-1", "iM.data_CAACCAATCACCACAA-1", "iM.data_CAGCCAGCAATACGCT-1", "iM.data_TTCCTTCTCCGATAAC-1", "iM.data_ATCTCTAAGGTGGGTT-1", "iM.data_GCGATCGCAACCACAT-1", "iM.data_TGTGATGGTTATGTGC-1", "iM.data_AGAAATGAGACAGCGT-1", "iM.data_AGCTACAAGGGTGAAA-1", "iM.data_AACACACTCCGATAAC-1", "iM.data_TTAGTCTAGACCTGGA-1", "iM.data_TTCCGTGCAGGATTCT-1", "iM.data_AAACCCACAACAACAA-1", "iM.data_CAATGACGTGACGTCC-1", "iM.data_TTGGGCGAGTTGCTCA-1", "iM.data_GACGTTATCTGGGTCG-1", "iM.data_ATCCCTGCAGCTGCCA-1", "iM.data_CACGTGGAGAGAGCAA-1", "iM.data_GTATTGGTCCGACGGT-1", "iM.data_ACGATCATCTGATGGT-1", "iM.data_ATAGGCTTCACGAGGA-1", "iM.data_AAGATAGAGTGGTTAA-1", "iM.data_TTTAGTCAGGACAAGA-1", "iM.data_GGTTCTCAGAGGGTCT-1", "iM.data_TCCTAATAGTTAGAAC-1", "iM.data_TTTGTTGCACAAGTTC-1", "iM.data_ACTATCTGTCAGCGTC-1", "iM.data_TCATACTAGGTACAAT-1", "iM.data_TTCTAGTTCGCCGTGA-1", "iM.data_ATCATTCTCACCTTAT-1", "iM.data_AACGTCATCAAACTGC-1", "iM.data_CCTTCAGCAAATCAAG-1", "iM.data_CTCAGGGTCCCTTTGG-1", "iM.data_TTTACTGGTACCCGAC-1", "iM.data_TGGAGGATCGGCTATA-1", "iM.data_CAGAGCCCAGCGTTTA-1", "iM.data_CTCTGGTGTCATAACC-1", "iM.data_AACGGGAGTGGCTTAT-1", "iM.data_CTGTACCTCTAGCCAA-1", "iM.data_GGCAGTCAGTATGAAC-1", "iM.data_GTAGAAATCTTCGGTC-1", "iM.data_GTGTAACCACCGTCTT-1", "iM.data_CAGGGCTGTACCCGCA-1", "iM.data_TACGGTAAGCGAATGC-1", "iM.data_GAGACTTGTATCTCTT-1", "iM.data_ATTCTACTCAGCGGAA-1", "iM.data_AACACACCACAGTCGC-1", "iM.data_CTCCTTTAGTACAGAT-1", "iM.data_GTCCCATAGGATACGC-1", "iM.data_TAACACGTCCAAACCA-1", "iM.data_CATGGTAAGCTCTATG-1", "iM.data_ATGTCCCGTTTACGTG-1", "iM.data_GTTACAGTCGCCGTGA-1", "iM.data_TTACTGTTCTGTCTCG-1", "iM.data_GGAAGTGCATCGAACT-1", "iM.data_CAAGACTAGAGGTATT-1", "iM.data_TCTAACTGTTACCTGA-1", "iM.data_TACCCGTGTATCGGTT-1", "iM.data_AGTTAGCTCACTGATG-1", "iM.data_TCATTCAGTGTCATTG-1", "iM.data_GCCATGGCATGTTTGG-1", "iM.data_CACCGTTCACTTGTCC-1", "iM.data_AGAGAATAGAAGCCTG-1", "iM.data_GGGTGAAGTGCCGAAA-1", "iM.data_TTATTGCAGTGAGGTC-1", "iM.data_CCCAACTAGCTCTATG-1", "iM.data_CTATCCGTCTTTCGAT-1", "iM.data_TGTGAGTGTACCTTCC-1", "iM.data_CGGAACCGTGTTCGAT-1", "iM.data_GTAACCAGTTCTCGTC-1", "iM.data_GGATCTATCGGTCTAA-1", "iM.data_TTGCTGCGTGAGTAAT-1", "iM.data_GAAGTAATCGATTTCT-1", "iM.data_GTCATCCCACGCTGTG-1", "iM.data_ATTACTCTCGGATACT-1", "iM.data_CCACTTGCACGTACTA-1", "iM.data_AGCTACATCGACATAC-1", "iM.data_GGTAACTAGCCTGACC-1", "iM.data_GGGCTCAGTCTATGAC-1", "iM.data_CAGATACAGTTACGAA-1", "iM.data_GGATCTATCAAGTAAG-1", "iM.data_CTAACCCCATGGATCT-1", "iM.data_GGAGCAAGTAGAGTTA-1", "iM.data_AGCGCCAGTAGCACAG-1", "iM.data_CAGATTGCAAATAAGC-1", "iM.data_ATCCTATCATAGGAGC-1", "iM.data_TCTAACTGTTCTCTAT-1", "iM.data_TCATACTTCGAGAACG-1", "iM.data_TAATTCCAGCACCCAC-1", "iM.data_ACTCCCACATAGGTAA-1", "iM.data_CTTCTCTTCATTCCTA-1", "iM.data_GCCCAGATCGCATTAG-1", "iM.data_AGACCATCAACTTGCA-1", "iM.data_TCGCACTTCACCCTGT-1", "iM.data_TCTGTCGGTTTCTTAC-1", "iM.data_AGTTCGACAACGTTAC-1", "iM.data_CAGGGCTCACGTACTA-1", "iM.data_GTCCACTAGGCTTAGG-1", "iM.data_GGGCCATTCCCGTAAA-1", "iM.data_CATGGTATCTCGTTTA-1", "iM.data_TGGAACTAGGTACAAT-1", "iM.data_AACCTGACACTTGTGA-1", "iM.data_TCGCTTGGTGTTAACC-1", "iM.data_TGCACGGCAAGCGCAA-1", "iM.data_ATGGGAGGTAAGATAC-1", "iM.data_CGTCCATAGCCTCATA-1", "iM.data_ACGTCCTAGGTTAAAC-1", "iM.data_GGAACCCTCGCCTATC-1", "iM.data_GTAATGCAGAGCAAGA-1", "iM.data_CTACCTGCAGCCTATA-1", "iM.data_CTACTATTCGCTTACC-1", "iM.data_GTTGTAGAGGATGGCT-1", "iM.data_CAACGATTCGGATAAA-1", "iM.data_GGAGGATAGGCTAAAT-1", "iM.data_TTCAATCAGCAACAAT-1", "iM.data_CATCGGGTCTTTCTAG-1", "iM.data_AGACCCGCATGTCAGT-1", "iM.data_ATCATTCTCAACTTTC-1", "iM.data_GTTAGTGGTTACGTAC-1", "iM.data_TGATCAGAGTAAACAC-1", "iM.data_AGATAGACACAATCTG-1", "iM.data_GATCAGTCACATACTG-1", "iM.data_CTCATGCGTAGGCAAC-1", "iM.data_GGAATCTTCTGCGATA-1", "iM.data_CGGGCATGTCGCCACA-1", "iM.data_GGGTGTCGTTCTGACA-1", "iM.data_GCCAACGGTTTCTATC-1", "iM.data_CGTCCATAGGGCAACT-1", "iM.data_ACTTTGTGTTCGTTCC-1", "iM.data_CTCATGCCATTGTACG-1", "iM.data_CATCCACCACAAGCAG-1", "iM.data_CCACACTTCACACCGG-1", "iM.data_AGTTCGATCCCAAGCG-1", "iM.data_GACCTTCGTAACTTCG-1", "iM.data_AGTCAACAGTAGGAAG-1", "iM.data_AGACTCAAGGGTCACA-1", "iM.data_TGATGCACAGAACTTC-1", "iM.data_CATAGACGTTGGGCCT-1", "iM.data_CAGTTCCGTTACCCAA-1", "iM.data_CAGCGTGGTACGCTTA-1", "iM.data_AAGACTCCAAGCTACT-1", "iM.data_GGGCGTTGTCACGTGC-1", "iM.data_TCTCTGGCAAATACAG-1", "iM.data_CTGATCCGTAACGGTG-1", "iM.data_TGTTCTATCGCCCAGA-1", "iM.data_TTCGGTCAGCAGGCAT-1", "iM.data_AGGAGGTTCCTCATAT-1", "iM.data_TACGTCCCACGACCTG-1", "iM.data_CTTCTAATCCAGCACG-1", "iM.data_TATCAGGGTAGGTCAG-1", "iM.data_GACTGATCAGCTTTCC-1", "iM.data_TCAGTCCCAAGACCGA-1", "iM.data_CACCAAAAGGAGCAAA-1", "iM.data_TCCACCAGTCCGTTTC-1", "iM.data_TGAGGAGCATGAATCC-1", "iM.data_CCCTCTCTCAAGAGTA-1", "iM.data_TGAGGGACAGTAGGAC-1", "iM.data_TTACGTTTCTCCCTAG-1", "iM.data_CTCCTTTGTATCTTCT-1", "iM.data_GCAGGCTCACAGTCCG-1", "iM.data_GTAGCTAGTGAGATAT-1", "iM.data_ACCCAAACAGGAAGTC-1", "iM.data_TGCAGTATCCGGCAAC-1", "iM.data_CAATCGATCGATGGAG-1", "iM.data_GAATCACTCTGAGTCA-1", "iM.data_CCGGACACACGCGCTA-1", "iM.data_TTCGCTGTCCACGGAC-1", "iM.data_TGCCGAGCAGAATGTA-1", "iM.data_GCCATTCAGGGAGGTG-1", "iM.data_GCAGCTGAGACTCATC-1", "iM.data_CCTTTGGTCTCGCTCA-1", "iM.data_CCACGTTCAATTCACG-1", "iM.data_AAGGTAATCCCAATAG-1", "iM.data_TGACAGTAGCTATCCA-1", "iM.data_ATCAGGTTCCGGCAGT-1", "iM.data_GCAGCCATCTAGCCTC-1", "iM.data_TTGCCTGAGTGGATTA-1", "iM.data_TTTGGTTTCCTGGGTG-1", "iM.data_TCAATCTGTCGCACGT-1", "iM.data_AGTGCCGTCTTGCAAG-1", "iM.data_CCCTAACTCCGATCTC-1", "iM.data_CATGCTCTCTCACGAA-1", "iM.data_CCTTCAGTCAAAGGAT-1", "iM.data_AGGTTGTTCAGCGCGT-1", "iM.data_GACAGCCCAAAGCACG-1", "iM.data_ATTTCACGTTGCACGC-1", "iM.data_TCCTTCTTCCAACTGA-1", "iM.data_AATCACGCAAGCGATG-1", "iM.data_TCATTGTAGACGGTTG-1", "iM.data_TGTAAGCTCTCATTGT-1", "iM.data_TCCGTGTGTGCCTAAT-1", "iM.data_TATCGCCAGGAGATAG-1", "iM.data_TATCAGGGTGAGGATC-1", "iM.data_CGCAGGTAGAGCAGTC-1", "iM.data_TGCATGAAGGTTGGTG-1", "iM.data_GTGTTCCTCGGTAAGG-1", "iM.data_CAGATACTCAGTCTTT-1", "iM.data_TAGACTGAGCGCCCAT-1", "iM.data_TTCTAGTGTCAGTCCG-1", "iM.data_ATTCTACCATCATTGG-1", "iM.data_ATCGGATCAGCAGATG-1", "iM.data_AAAGGGCAGGGAGTTC-1", "iM.data_GAGTTTGAGGTTACAA-1", "iM.data_TTCCTCTTCGAGCCTG-1", "iM.data_TCATCATTCAGCATTG-1", "iM.data_ATGAGGGTCGCGTTTC-1", "iM.data_CACAGATGTAGCTGAG-1", "iM.data_TTTGACTAGCTACTAC-1", "iM.data_CCACGAGTCATCGGGC-1", "iM.data_GTTGAACCATGTTACG-1", "iM.data_AAACGAATCGACGATT-1", "iM.data_GTTACGACAGCTGTTA-1", "iM.data_TACCGAAGTGCAAGAC-1", "iM.data_GCCATTCTCCGTAGGC-1", "iM.data_CAGTTCCTCAGGAAGC-1", "iM.data_AGGATAAAGACTCATC-1", "iM.data_TCATCCGAGTTGGACG-1", "iM.data_CTTCGGTAGCCGGATA-1", "iM.data_GCACGGTTCATGAAAG-1", "iM.data_TAGCACATCGATAACC-1", "iM.data_ACCATTTTCCTTATCA-1", "iM.data_GACTCTCAGATTACCC-1", "iM.data_CTTTCAACAGCGGTCT-1", "iM.data_CCACGAGCAGCCTACG-1", "iM.data_ATTCTTGTCACCTCAC-1", "iM.data_GTGTTCCCACATTCTT-1", "iM.data_TTACAGGGTCCAGGTC-1", "iM.data_ATACCTTGTTCTCTAT-1", "iM.data_TTACTGTTCTAGTCAG-1", "iM.data_CATTCATGTTCGTGCG-1", "iM.data_TCTCTGGCAAGTCATC-1", "iM.data_GAGAAATAGGTGCAGT-1", "iM.data_CAGGGCTTCTCCGAAA-1", "iM.data_CTAACTTGTGTGATGG-1", "iM.data_CGATCGGGTGATGTAA-1", "iM.data_GGGTATTAGTAAATGC-1", "iM.data_CGTTGGGAGGCCTAGA-1", "iM.data_TGTTCTAGTACTAACC-1", "iM.data_GGATCTACAGTCTCTC-1", "iM.data_TGATGGTGTTGATCGT-1", "iM.data_AGCCAGCCATGACTAC-1", "iM.data_CACAGATAGCACGTCC-1", "iM.data_GTGCACGGTGGCCTCA-1", "iM.data_GATGACTAGCCAAGGT-1", "iM.data_GAGTTTGCAATAGGGC-1", "iM.data_GATTCTTGTAATGCGG-1", "iM.data_GTGAGCCCACCCAATA-1", "iM.data_GACGCTGAGAGCCGTA-1", "iM.data_ATTGTTCCAGAATTCC-1", "iM.data_GCATTAGTCATTTGCT-1", "iM.data_TATATCCCAGCCTATA-1", "iM.data_CCTAAGAAGAGAATCT-1", "iM.data_CATTTCATCACCGGGT-1", "iM.data_CAACAGTAGCGATGGT-1", "iM.data_CATAGACAGGGTAGCT-1", "iM.data_ATTCACTTCGCCCAGA-1", "iM.data_TGGCGTGGTAGGGAGG-1", "iM.data_TTCCACGCAACGAGGT-1", "iM.data_AGTACTGTCCCATACC-1", "iM.data_ATGCGATCACTCCTGT-1", "iM.data_TACTTGTAGACCTTTG-1", "iM.data_CAGGTATAGAGTCACG-1", "iM.data_TTTACCAAGGTACAAT-1", "iM.data_TCACTCGCAAATTAGG-1", "iM.data_CTGTAGAGTATAGGGC-1", "iM.data_GAGTCTACACAAATAG-1", "iM.data_GGTTCTCTCAGACTGT-1", "iM.data_GCCTGTTCAGCTACAT-1", "iM.data_AAGCCATTCGCTCTAC-1", "iM.data_CCTTCAGAGAATAACC-1", "iM.data_CTGCCTACAGGCTATT-1", "iM.data_TCACTCGTCCCAGGAC-1", "iM.data_GGGTATTAGGCGAACT-1", "iM.data_TGGAGAGGTTCCTAGA-1", "iM.data_ACCTGAAGTCCAAATC-1", "iM.data_AGTACTGTCCACCCTA-1", "iM.data_TCCCAGTAGAGATGCC-1", "iM.data_TGAACGTGTTAAGGGC-1", "iM.data_GGTAGAGCAGTATACC-1", "iM.data_ATCCACCCAAGGGCAT-1", "iM.data_GCAACCGGTGGGATTG-1", "iM.data_ACTCCCAAGTATGGAT-1", "iM.data_ACATCGAGTGTTAGCT-1", "iM.data_ATCTTCAAGTCATACC-1", "iM.data_CGGGCATAGACCATTC-1", "iM.data_TAAGTCGAGTCGTTAC-1", "iM.data_AGCCACGGTCTAATCG-1", "iM.data_GTCATGAGTATGGGAC-1", "iM.data_CTATAGGCACAGCATT-1", "iM.data_AGGTCTAGTCTACATG-1", "iM.data_CTTTCGGGTCGGTGAA-1", "iM.data_CTGCAGGTCAACGAGG-1", "iM.data_GCGTGCATCTACGCGG-1", "iM.data_CTGTGGGGTATGCTTG-1", "iM.data_CATGCTCCAGCTGCCA-1", "iM.data_GATCAGTCAACTCGTA-1", "iM.data_TGCAGATAGTTATGGA-1", "iM.data_AACAACCCAATGAAAC-1", "iM.data_GGGAAGTGTGCTCGTG-1", "iM.data_CTACATTGTCCTCAGG-1", "iM.data_TCATGGACACGCGCAT-1", "iM.data_AGTGCCGTCTTTGCGC-1", "iM.data_ACTTAGGGTTCTCGCT-1", "iM.data_TCTACATGTGCACAAG-1", "iM.data_CTGCAGGAGGGTGGGA-1", "iM.data_GTTACCCTCCCAACTC-1", "iM.data_TTCATTGTCGTCCTCA-1", "iM.data_CCTTCAGGTAGTTCCA-1", "iM.data_GAGGCCTGTCTGTCAA-1", "iM.data_AGGTAGGTCCCGAACG-1", "iM.data_AGTGATCGTATTAAGG-1", "iM.data_CGGAATTTCACACCGG-1", "iM.data_GCCATTCTCACCGCTT-1", "iM.data_CTCTCAGCACTGATTG-1", "iM.data_AGTAACCTCTCTCGAC-1", "iM.data_TCGCTTGTCTCGGGAC-1", "iM.data_TATTTCGCAGATACCT-1", "iM.data_AGAGAGCAGCCTCAAT-1", "iM.data_CTCGAGGCAATTGCTG-1", "iM.data_ACAGGGAGTGAATGAT-1", "iM.data_GTTACCCGTGACACAG-1", "iM.data_TCCTGCACAATGACCT-1", "iM.data_CCGCAAGGTATCGGTT-1", "iM.data_ATCGGATCAGGTCCCA-1", "iM.data_TGCTGAAAGGATCACG-1", "iM.data_TACACCCCACGGTAGA-1", "iM.data_ATCGATGAGCTGGCCT-1", "iM.data_CACAGGCCACCGTGGT-1", "iM.data_TCACACCGTCTGCGCA-1", "iM.data_GTTATGGGTAAGTTGA-1", "iM.data_TTCATTGAGTCACTCA-1", "iM.data_CATTCTACAGGCATTT-1", "iM.data_AAGCGTTCAGCGTACC-1", "iM.data_ACGTCCTTCCACGTGG-1", "iM.data_TATGTTCAGACATAGT-1", "iM.data_TTTACCATCTAACACG-1", "iM.data_AAGATAGTCTTCCGTG-1", "iM.data_TCTTTGAGTTGCAACT-1", "iM.data_ATTCGTTAGTAGCATA-1", "iM.data_CTCCGATTCGCCTCTA-1", "iM.data_GACCCAGAGAGATGCC-1", "iM.data_AGCTCAAGTAAGACCG-1", "iM.data_ATTCACTGTCACTCAA-1", "iM.data_CTCAACCTCCAATCCC-1", "iM.data_TCTACATGTCCTTAAG-1", "iM.data_GACCCAGGTCATCTAG-1", "iM.data_ACGGTCGCAAATAGCA-1", "iM.data_AGACCCGGTACGACTT-1", "iM.data_ATGAGGGGTCCATCTC-1", "iM.data_CATTCCGCACCAGTTA-1", "iM.data_CTTCTCTTCTACCACC-1", "iM.data_GATGAGGTCCCAACTC-1", "iM.data_AAGAACACACTAGTAC-1", "iM.data_CGATGGCGTACAACGG-1", "iM.data_CCCTTAGGTTTGTTGG-1", "iM.data_CACTGGGAGGCATCTT-1", "iM.data_TAGGGTTAGTGTAGAT-1", "iM.data_GGAACCCTCACATCAG-1", "iM.data_TAGGTTGCAGCGTTGC-1", "iM.data_AATCGACCACGGATCC-1", "iM.data_AGGGTTTAGGCGACAT-1", "iM.data_CACCGTTCAACGACAG-1", "iM.data_CTCCGATCAAACACGG-1", "iM.data_GCATGATAGCTGAGCA-1", "iM.data_GAACGTTTCTGCACCT-1", "iM.data_TTTACGTGTTGCCTAA-1", "iM.data_CATGAGTTCATTGTTC-1", "iM.data_TAGTGCAGTTCGTACA-1", "iM.data_CCTCAACCACAGCATT-1", "iM.data_CTAACTTTCAAGATAG-1", "iM.data_TACATTCAGCTTGTTG-1", "iM.data_TTGCCTGCAACTTGGT-1", "iM.data_AGCTTCCGTCTCACGG-1", "iM.data_GACCAATCACTTACAG-1", "iM.data_AGTTAGCCAATACCTG-1", "iM.data_GGGTTTATCTAAGCGT-1", "iM.data_GAAGCGAGTCGTCATA-1", "iM.data_ATCCTATCACAGTCGC-1", "iM.data_ATGGGAGGTCTACACA-1", "iM.data_CAGATCAGTGGAACCA-1", "iM.data_GAGTCATTCGTCTCAC-1", "iM.data_CTGTGGGCAAATGATG-1", "iM.data_AACGGGAAGGAGGTTC-1", "iM.data_GATGAGGGTTACGATC-1", "iM.data_TAAGCCATCTCTCCGA-1", "iM.data_AGGCTGCAGAGGGCGA-1", "iM.data_AGCCAGCAGACAGCGT-1", "iM.data_TACTGCCGTTCAAAGA-1", "iM.data_TTGTGTTCATGGAATA-1", "iM.data_ATCGGATTCCATTTAC-1", "iM.data_CAAGACTGTAACAGGC-1", "iM.data_TCATGCCTCGGCATCG-1", "iM.data_TTTGACTCAAAGGGTC-1", "iM.data_ATACCGATCGTCAACA-1", "iM.data_TATCTGTTCACCTTAT-1", "iM.data_ATTCACTCAGTTGGTT-1", "iM.data_TGTCAGAGTCCTGAAT-1", "iM.data_TGGCGTGAGAAACTAC-1", "iM.data_GACTATGAGACTCCGC-1", "iM.data_CCCTCAACAGCACGAA-1", "iM.data_TCGAACACACAAATAG-1", "iM.data_CTCAGAAAGTGGTTCT-1", "iM.data_CTCATGCGTCTTCGAA-1", "iM.data_TGGAGAGAGAGCCGTA-1", "iM.data_TATCTGTGTATGATCC-1", "iM.data_TGACAGTTCTTAAGGC-1", "iM.data_CTCCTTTTCCGCTGTT-1", "iM.data_CCTCTAGTCCTTATCA-1", "iM.data_GTTGCTCTCGAGTTGT-1", "iM.data_TGAATGCTCTCTCAAT-1", "iM.data_ACTCTCGAGTAAGAGG-1", "iM.data_CGAAGGAAGTGGCAGT-1", "iM.data_GTTGAACCAAAGGCGT-1", "iM.data_CCCAACTCATGAAGCG-1", "iM.data_CATCCACCATAACAGA-1", "iM.data_TGACAGTTCGCCTATC-1", "iM.data_GACTATGCACACACGC-1", "iM.data_GCCATTCTCACCGACG-1", "iM.data_GAGTTTGTCCATAAGC-1", "iM.data_AGCCAATCATCTCATT-1", "iM.data_ATTCGTTCAAGATCCT-1", "iM.data_GAAATGACAAGCCCAC-1", "iM.data_GACCAATCAATAGTGA-1", "iM.data_GCGTGCAAGCGCGTTC-1", "iM.data_CCTCTAGGTACCATAC-1", "iM.data_AAGACAAAGCAAATGT-1", "iM.data_AGAAGTATCTGGAAGG-1", "iM.data_CCATCACCACATGACT-1", "iM.data_TCATGCCTCATCTATC-1", "iM.data_GTTACGATCACTGTCC-1", "iM.data_CAGCAATAGACCTCCG-1", "iM.data_GGAGATGAGCACGTCC-1", "iM.data_TTCGGTCCAGGACATG-1", "iM.data_CCTAACCGTAGGCAAC-1", "iM.data_CTAGACAGTCTACGAT-1", "iM.data_GGGATGAGTACATACC-1", "iM.data_TGCAGGCCACAGTATC-1", "iM.data_AGTAACCAGTAGACAT-1", "iM.data_ATACTTCAGTCTGGTT-1", "iM.data_GTTATGGCACCGTCTT-1", "iM.data_ACCGTTCTCAGAGTTC-1", "iM.data_CAGCAGCCATCCGATA-1", "iM.data_TCCAGAAGTGACGTCC-1", "iM.data_CCGGTGAGTGCGTTTA-1", "iM.data_GTTGCGGCAATTTCGG-1", "iM.data_TCTGGCTAGCCTCTTC-1", "iM.data_AGGATAACAAGGGCAT-1", "iM.data_ATTTCACTCCCAGGCA-1", "iM.data_TTGAACGCAAACCGGA-1", "iM.data_TCTTTGAGTCCAGTTA-1", "iM.data_GGAATGGCACTTGAAC-1", "iM.data_ATTGGGTGTACAGGTG-1", "iM.data_TACGCTCCAACCCTAA-1", "iM.data_ATGAAAGGTGCCCAGT-1", "iM.data_ACTATTCCACCTGCTT-1", "iM.data_CCACACTCATGAGAAT-1", "iM.data_CTCCACATCTATCGCC-1", "iM.data_CATTCATCATGGGAAC-1", "iM.data_GTCTACCAGCACGTCC-1", "iM.data_ATTGGGTCATAGGTTC-1", "iM.data_TCAGTGATCAGTGGGA-1", "iM.data_GGGTATTAGTGAACAT-1", "iM.data_CAGCCAGAGATGATTG-1", "iM.data_TCACGGGGTATTTCGG-1", "iM.data_GTGGGAACAATTCGTG-1", "iM.data_GAAGCCCTCTGCTAGA-1", "iM.data_ATCACAGAGATTAGTG-1", "iM.data_TCACGGGGTGGTTTAC-1", "iM.data_GAGTTACTCTAGTGTG-1", "iM.data_CAGCACGTCGGCCCAA-1", "iM.data_ACGTAACCACAAGTTC-1", "iM.data_TAATTCCCAAGGTCGA-1", "iM.data_TCCTTTCAGACCACGA-1", "iM.data_TAGGGTTCAAACACGG-1", "iM.data_TGCTGAATCAATCCGA-1", "iM.data_ATTCCCGTCGAACCAT-1", "iM.data_TGGAGAGCACGAGGAT-1", "iM.data_AGATAGACACCGAATT-1", "iM.data_GCATCTCGTCTCGGAC-1", "iM.data_CGTAGTAGTGTAGTGG-1", "iM.data_TAAGCGTGTCTCCCTA-1", "iM.data_TTACAGGTCCGCACGA-1", "iM.data_CCGTTCAAGTTGTAAG-1", "iM.data_AATGACCCAATCTCTT-1", "iM.data_AGGGCCTCATACAGCT-1", "iM.data_CACAACAAGCGACTAG-1", "iM.data_GCGAGAAAGTAAGGGA-1", "iM.data_ATGAGTCCACTCACTC-1", "iM.data_TATTCCAAGGGACACT-1", "iM.data_CTCCGATTCACATCAG-1", "iM.data_ACCCTTGTCGTAACAC-1", "iM.data_GAGGCCTCACCTGAAT-1", "iM.data_GTGAGCCAGTCCCTAA-1", "iM.data_TTACGCCTCTTGGTCC-1", "iM.data_GCCAACGGTGAATAAC-1", "iM.data_GTTAGACTCTCCCTAG-1", "iM.data_GACTCTCAGACTTGTC-1", "iM.data_AGAACCTTCCCATTTA-1", "iM.data_CATTGAGTCCTTCTTC-1", "iM.data_GGAGAACTCCCTCTCC-1", "iM.data_CGAGTGCGTCCACTCT-1", "iM.data_ATCGGCGGTACGGCAA-1", "iM.data_CCACCATTCTTTACAC-1", "iM.data_CTCCCTCTCGCTTTAT-1", "iM.data_TTTGATCCATTCTGTT-1", "iM.data_CCTTCAGAGAACAGGA-1", "iM.data_GCGGAAAAGTATCTGC-1", "iM.data_GGAGAACTCCGTGGCA-1", "iM.data_CATCGCTTCGCTGTCT-1", "iM.data_GAAGCCCTCCTCACTG-1", "iM.data_CGGAGAAGTACTCGTA-1", "iM.data_CATTCCGCACGGTCTG-1", "iM.data_TTTACTGTCGTAGTCA-1", "iM.data_GCACTAACACCATAAC-1", "iM.data_GGTGTCGCAACCGTGC-1", "iM.data_GTTATGGTCACTAGCA-1", "iM.data_CGAGAAGCACGACTAT-1", "iM.data_TTGAGTGCATACCACA-1", "iM.data_TCAGGGCGTATCAAGA-1", "iM.data_GTCATCCCAGTGACCC-1", "iM.data_GTGCAGCTCCCATTCG-1", "iM.data_TCCTCGAAGGGAGGTG-1", "iM.data_AGCCAGCCACATGTTG-1", "iM.data_AGCTTCCAGGTCTGGA-1", "iM.data_TGTACAGAGCACTAAA-1", "iM.data_ATTCCTACAGGCACTC-1", "iM.data_ACCCAAACATGACGAG-1", "iM.data_AAAGTCCAGTGTCATC-1", "iM.data_ATCGCCTTCACGGGCT-1", "iM.data_GTAGTACGTACGGTTT-1", "iM.data_ATTGGGTCAAAGGGCT-1", "iM.data_GTAGATCAGGTCTGGA-1", "iM.data_GGGTGAACACAAAGTA-1", "iM.data_GTCTAGATCAAAGCCT-1", "iM.data_GGGTGTCAGCTGAGCA-1", "iM.data_TCCATGCCATGTGCTA-1", "iM.data_CATTTCAGTACGACTT-1", "iM.data_TCCTCGAAGTTACGAA-1", "iM.data_TTCCACGTCCCTATTA-1", "iM.data_TGCAGTAGTCGAACGA-1", "iM.data_TGATGCACAGTAGTTC-1", "iM.data_TCGGGCAGTCGGCCTA-1", "iM.data_TCTCACGAGAGTAACT-1", "iM.data_CCTCAGTGTTTACTTC-1", "iM.data_TACATTCGTGAACGGT-1", "iM.data_TGGGCTGCAGTTCTAG-1", "iM.data_CCACAAACAACCCGCA-1", "iM.data_CTCTCAGGTCTCACAA-1", "iM.data_AGATCCACAAGTGGAC-1", "iM.data_TGTTGAGCATCTATCT-1", "iM.data_ACCACAACATGACACT-1", "iM.data_AGTGACTTCTACTATC-1", "iM.data_TTGTGTTTCTAGTCAG-1", "iM.data_TCAGCCTAGCTCTTCC-1", "iM.data_TCGTAGACAGCCGTTG-1", "iM.data_GACCCTTCAATTGAGA-1", "iM.data_TCAATTCTCTTTCGAT-1", "iM.data_GTGTAACTCACCATCC-1", "iM.data_ACCCAAACAAATGAAC-1", "iM.data_TCATTCACAACACAGG-1", "iM.data_TCACATTTCCTACAAG-1", "iM.data_ATCCGTCCAAGTTTGC-1", "iM.data_CTGAATGCAGACTGCC-1", "iM.data_CTCAGTCTCCCGAACG-1", "iM.data_CGCATAAGTTCGGCCA-1", "iM.data_GTAACCATCTCCGTGT-1", "iM.data_AAGACTCTCGCTACAA-1", "iM.data_AAGAACAGTCCAAATC-1", "iM.data_TATTCCATCTGGCCTT-1", "iM.data_TTCCGTGGTAACTTCG-1", "iM.data_CGAGTTATCAAGCTTG-1", "iM.data_ACCACAAGTAACACGG-1", "iM.data_TAAGCGTTCTTCGACC-1", "iM.data_GGAATCTTCTAGACAC-1", "iM.data_GTCATGACAACTGGTT-1", "iM.data_AGGAAATGTGGAACAC-1", "iM.data_CGGAGAACATGAAGCG-1", "iM.data_AAGTGAAGTCTAGGTT-1", "iM.data_GAAGGACCAATACGAA-1", "iM.data_GAAGGGTTCCGGTAAT-1", "iM.data_GCACATAAGCTGGCTC-1", "iM.data_GACGCTGCAGAGTCAG-1", "iM.data_TAGGAGGCACCTATCC-1", "iM.data_TCGCACTGTCACGTGC-1", "iM.data_CATCCACCAAATTGGA-1", "iM.data_TTTGTTGGTAAGCTCT-1", "iM.data_CTTCCGACAAATGAGT-1", "iM.data_CGATCGGCATGTACGT-1", "iM.data_ACACAGTGTAGGGTAC-1", "iM.data_ACCAACAAGCCGATCC-1", "iM.data_CAACGATAGTTGTCAC-1", "iM.data_AGGACTTAGACGACTG-1", "iM.data_ATGGTTGGTAACATAG-1", "iM.data_CTATCCGCAAAGCGTG-1", "iM.data_GTGTGGCTCCCAGCGA-1", "iM.data_CAATCGAGTATTTCGG-1", "iM.data_GCAGGCTTCTTTGCAT-1", "iM.data_GCAGGCTTCATTCCTA-1", "iM.data_GAGGGTACACGCGCTA-1", "iM.data_TACGCTCAGGCATGGT-1", "iM.data_GCCAGGTAGAGGTTAT-1", "iM.data_CAGCACGCATAATGCC-1", "iM.data_CAGAGCCAGATGATTG-1", "iM.data_CCTCCAAGTGTATTGC-1", "iM.data_AGATGAATCGAACGGA-1", "iM.data_CCACACTTCTGACCCT-1", "iM.data_AATGCCACATGGCCCA-1", "iM.data_AGCCAGCCAATGACCT-1", "iM.data_CTAACCCCAGAGTCTT-1", "iM.data_CATTCCGTCGGCTTGG-1", "iM.data_AGTACCATCGCTGACG-1", "iM.data_AAGTGAAGTCAAGGCA-1", "iM.data_ATGTCTTGTTCTCACC-1", "iM.data_ACCATTTTCCGTAGTA-1", "iM.data_CAAAGAAGTAGAGACC-1", "iM.data_ACTCCCACACGAAGAC-1", "iM.data_CATTCTAAGAGTCCGA-1", "iM.data_ATCGATGCATTCATCT-1", "iM.data_ATGAGTCCACATATCG-1", "iM.data_CACCGTTAGGACTATA-1", "iM.data_TCGATTTGTGCGAACA-1", "iM.data_ACATCCCTCATCCTGC-1", "iM.data_TTCAGGAGTTGTCATG-1", "iM.data_AGGGTGAGTGGTTCTA-1", "iM.data_CCCTGATAGCCTGGAA-1", "iM.data_AAACGCTTCATGTCTT-1", "iM.data_CCACGTTGTGTGTCGC-1", "iM.data_AACGTCAGTTGCTCGG-1", "iM.data_TTTGATCGTCCTACGG-1", "iM.data_GGGTCACAGCAGGCAT-1", "iM.data_ATTCCATCAGCCTACG-1", "iM.data_TACACCCTCAAGGAGC-1", "iM.data_CCGATGGTCACGTCCT-1", "iM.data_GAAATGAAGCCAAGCA-1", "iM.data_GAAACCTTCCGCCTAT-1", "iM.data_TGAGTCAGTGACTAAA-1", "iM.data_TCAATCTAGTGCACAG-1", "iM.data_CCTACGTTCACTACGA-1", "iM.data_GCCGATGAGGTTCCAT-1", "iM.data_TCACTCGGTCACAGAG-1", "iM.data_TGCGATACAGAACATA-1", "iM.data_CCTCCAAAGTTCTCTT-1", "iM.data_TCCATCGCATAAGCAA-1", "iM.data_TAATTCCGTTGCTCCT-1", "iM.data_AGCCAATGTAAGATTG-1", "iM.data_CGAAGTTTCAGTCATG-1", "iM.data_CTGCATCAGCTGACCC-1", "iM.data_GACTCAACATGTGGCC-1", "iM.data_AATTTCCTCTCACTCG-1", "iM.data_TGTTTGTAGTACAGAT-1", "iM.data_GAGTTGTCAGGGAATC-1", "iM.data_ATGGGTTCACCTCTAC-1", "iM.data_GTAGGTTAGTGGTGGT-1", "iM.data_AACAAAGTCCGGACGT-1", "iM.data_GAGTTACAGAAACCAT-1", "iM.data_TGGGAGATCACCTGGG-1", "iM.data_GTGTTCCGTGCAACGA-1", "iM.data_CATTCTATCGACCACG-1", "iM.data_TTTGGAGCAGCACAAG-1", "iM.data_ATCTCTACAGTTGCGC-1", "iM.data_AGCGCCAGTCCCGTGA-1", "iM.data_GAATCACGTATCCCTC-1", "iM.data_CTACGGGGTTTGTTGG-1", "iM.data_CCACCATAGCGGACAT-1", "iM.data_GATGACTCAAGTCGTT-1", "iM.data_TCCCACACACGCGTCA-1", "iM.data_TGCCGAGGTTGCTGAT-1", "iM.data_TCGATTTAGCTAGTTC-1", "iM.data_CCGGACACATCAGCGC-1", "iM.data_AGACCATCATTGAAGA-1", "iM.data_TACACCCTCTGGGATT-1", "iM.data_TTGGATGCAGCGACAA-1", "iM.data_AGGGTGAAGTAGCAAT-1", "iM.data_CGGTCAGGTTGGTACT-1", "iM.data_GTAATGCTCGGCACTG-1", "iM.data_CGACAGCCACTCCGGA-1", "iM.data_CCACGAGAGTTCCAGT-1", "iM.data_GAGAGGTTCCAAGCCG-1", "iM.data_CTGAGGCAGTCTCTGA-1", "iM.data_ACCTGAAGTAGTGGCA-1", "iM.data_TCCGATCCAGCAGAAC-1", "iM.data_TCAGTCCAGCCTCCAG-1", "iM.data_GATGAGGCAACTGAAA-1", "iM.data_GATGAGGCAAGCGGAT-1", "iM.data_CTGTAGACACGTGTGC-1", "iM.data_TCATCCGGTAGTGATA-1", "iM.data_ATCGTGATCGTCTAAG-1", "iM.data_GCTACAATCCTGCTAC-1", "iM.data_GCTACCTAGTATGGAT-1", "iM.data_ATTCAGGCACCAGCCA-1", "iM.data_ACCCTCATCTTGTGCC-1", "iM.data_ACCACAAGTAACGTTC-1", "iM.data_GGGCTACAGATGGCAC-1", "iM.data_GTCATGACAACCGATT-1", "iM.data_GGTAATCTCGATACGT-1", "iM.data_CAGCACGCAACCGATT-1", "iM.data_AGTAGTCAGAGCAACC-1", "iM.data_ATCCCTGTCGGTCGAC-1", "iM.data_GGGAGATTCTTACCGC-1", "iM.data_TGTAGACGTGACCTGC-1", "iM.data_AATAGAGCACCAATTG-1", "iM.data_CTCCCAAGTCATTGCA-1", "iM.data_ATTACCTAGCATGAAT-1", "iM.data_AGCGTATTCGTGTTCC-1", "iM.data_GTAATCGGTACTGAGG-1", "iM.data_TTCCTAACAACCGATT-1", "iM.data_TGCATCCTCCCTAGGG-1", "iM.data_TTGCCTGAGATGAACT-1", "iM.data_TGGTACAGTCTACATG-1", "iM.data_CCTACGTCATCAGTGT-1", "iM.data_CTTGATTTCGACATAC-1", "iM.data_GGGTCTGAGTAAACAC-1", "iM.data_GCTACCTAGTGCAAAT-1", "iM.data_CGTAGTATCATGCAGT-1", "iM.data_AGGTCATCACTCCACT-1", "iM.data_CAAGAGGTCAAGGACG-1", "iM.data_CATACCCTCTATTCGT-1", "iM.data_TTGGGTAAGGCATCTT-1", "iM.data_GGGTATTAGAGCATCG-1", "iM.data_CTAGGTAAGCTCCACG-1", "iM.data_TATCTGTGTTAGGCTT-1", "iM.data_GATAGCTCACAAATCC-1", "iM.data_AATGACCCAGAGTGTG-1", "iM.data_CCTACGTGTTGTCCCT-1", "iM.data_CAATACGCATTGAAAG-1", "iM.data_TGGCGTGTCTCGTGGG-1", "iM.data_ATAGACCCAGTTTCAG-1", "iM.data_ACCTACCTCTTACGTT-1", "iM.data_TCTACCGTCGCTAATG-1", "iM.data_GAATCACTCTTTCTAG-1", "iM.data_AGACTCAGTTGCCTAA-1", "iM.data_CATCCGTAGGGATCTG-1", "iM.data_TAACGACCATTGGGAG-1", "iM.data_GGGACAAGTCCCAAAT-1", "iM.data_GTAGAGGAGTATGGAT-1", "iM.data_CACAGGCCAGGTCTCG-1", "iM.data_AGTTCGAGTGAATAAC-1", "iM.data_CTCCGATCATTCTTCA-1", "iM.data_TCTCTGGCACAATGAA-1", "iM.data_CCTTCAGGTAGTCTTG-1", "iM.data_TGGTACAAGCGGACAT-1", "iM.data_AGGGTCCGTGTTGCCG-1", "iM.data_TTCCGTGGTGAGCTCC-1", "iM.data_AAACGCTGTGACAGGT-1", "iM.data_ACGTCCTCACTTCCTG-1", "iM.data_GCAACCGTCGGAACTT-1", "iM.data_TATTCCACACACCTTC-1", "iM.data_GCTGGGTTCCCATTCG-1", "iM.data_ACCACAAGTACCACGC-1", "iM.data_CTAACCCGTCTCCCTA-1", "iM.data_ATCGCCTTCGAACACT-1", "iM.data_ATGCGATTCGAGGCAA-1", "iM.data_CGAGTGCTCTTGGTCC-1", "iM.data_TGTACAGAGAGAGGGC-1", "iM.data_CCATAAGTCTTTCTAG-1", "iM.data_TACACCCCAGAGTAAT-1", "iM.data_CTATCTAAGCGGACAT-1", "iM.data_GGGTCTGCAACGGTAG-1", "iM.data_TCATCATCACTGAGGA-1", "iM.data_CCTGTTGAGGGCAGTT-1", "iM.data_ATCGCCTGTGTCCATA-1", "iM.data_AAAGGGCCAACGCCCA-1", "iM.data_AGCCACGAGTCAACAA-1", "iM.data_GCTCAAAAGGTAAGTT-1", "iM.data_CTCAGTCAGGACTAAT-1", "iM.data_CTCAGAACAAGCGAGT-1", "iM.data_AGGCTGCAGGCATTTC-1", "iM.data_GTGTTCCCATCACAGT-1", "iM.data_TCATGGATCGACCATA-1", "iM.data_CATTGAGCATGGCCAC-1", "iM.data_CACGAATCATTCACAG-1", "iM.data_TGTCAGAAGTCTTGGT-1", "iM.data_CCACGAGAGGCACTAG-1", "iM.data_AGATCCAGTACTGTTG-1", "iM.data_TTCCGTGTCCATTGGA-1", "iM.data_ACCTGTCTCGTGCACG-1", "iM.data_AGAGAATCAGTTCACA-1", "iM.data_ATGAGTCCACGACAAG-1", "iM.data_TCAAGTGGTCAACGCC-1", "iM.data_TGCGATACAGACACAG-1", "iM.data_CACTAAGAGAAGTATC-1", "iM.data_CGAGAAGTCTTTCTAG-1", "iM.data_ATCGTCCCAGCACACC-1", "iM.data_GACGCTGCAGGGAATC-1", "iM.data_TGTTCCGGTACGATTC-1", "iM.data_TGGTACATCACTCGAA-1", "iM.data_TAGACCATCACACCGG-1", "iM.data_TCATATCGTATCCCAA-1", "iM.data_CTTCAATTCGAACGGA-1", "iM.data_TCCATGCTCGACATCA-1", "iM.data_GGCTGTGTCACTTTGT-1", "iM.data_AAAGTCCTCGTAATGC-1", "iM.data_CCACACTAGCAACAGC-1", "iM.data_CAGTGCGCATATTCGG-1", "iM.data_AGACCCGTCCTACACC-1", "iM.data_ATTCGTTTCTCACCCA-1", "iM.data_GCAGTTAGTTCCGCGA-1", "iM.data_CCACCATGTCAAGTTC-1", "iM.data_CATAGACAGACGGTCA-1", "iM.data_AGCCACGAGAGGGTCT-1", "iM.data_GCCCAGAAGCCATTTG-1", "iM.data_CAATTTCGTTGCGAAG-1", "iM.data_CGTTAGATCGCCTTGT-1", "iM.data_TTGGGCGGTCTGTAAC-1", "iM.data_GAGTTACGTCTCTCTG-1", "iM.data_TATACCTCAACATCGT-1", "iM.data_GAACACTGTGGAGAAA-1", "iM.data_TCTCCGAAGCCTATTG-1", "iM.data_TATGTTCAGGGTTGCA-1", "iM.data_CACTGAAGTACGTGAG-1", "iM.data_TCAGTGACAGAGGTTG-1", "iM.data_GAGAAATTCGTTCATT-1", "iM.data_TCTCACGTCGGAATGG-1", "iM.data_TTTACGTCAGACGCTC-1", "iM.data_TGACCCTCAGACACAG-1", "iM.data_TATTTCGGTTTACCAG-1", "iM.data_TCTGCCATCAGACTGT-1", "iM.data_ATAGGCTTCATTCGGA-1", "iM.data_TCCTCTTCAGGTCCCA-1", "iM.data_GTGCTGGTCGACGTCG-1", "iM.data_TCAATCTTCGCTGCGA-1", "iM.data_CATTCCGTCGCGTGCA-1", "iM.data_GGGTTATTCAAGCCAT-1", "iM.data_ACCAACAGTGAGCGAT-1", "iM.data_ACATCCCGTGGATCAG-1", "iM.data_TGAGTCAGTCTTCATT-1", "iM.data_TTCGATTAGCGTACAG-1", "iM.data_AATTCCTCAGAGTGAC-1", "iM.data_GGAACCCCAGAGTTCT-1", "iM.data_TCAGTCCTCGTGAGAG-1", "iM.data_CCTTCAGGTCACGCTG-1", "iM.data_CTAGGTAAGACATAAC-1", "iM.data_TGTTCCGCACAGACGA-1", "iM.data_GATCGTAGTCCACGCA-1", "iM.data_CATACTTGTCGCATGC-1", "iM.data_CAACGATTCCGTGGGT-1", "iM.data_GCCCAGAAGCTCGGCT-1", "iM.data_CCCGAAGCAGTTGCGC-1", "iM.data_AAAGTGATCTAGTGAC-1", "iM.data_AGTTCGAGTAATTGGA-1", "iM.data_CATACCCAGAGAACCC-1", "iM.data_AGACAAACAGACAAAT-1", "iM.data_GTTATGGTCTGGACTA-1", "iM.data_ACACCAAGTCCGCAGT-1", "iM.data_TTACCATGTGTAACGG-1", "iM.data_ACACAGTCATTCTCTA-1", "iM.data_TCCTCGACACTGGCGT-1", "iM.data_GGGAAGTGTTCCAGGC-1", "iM.data_GTTGCGGGTCGAAACG-1", "iM.data_TCGAAGTAGTCAACAA-1", "iM.data_TGAGGGATCACTACTT-1", "iM.data_CAGAGCCAGACTCCGC-1", "iM.data_ATGTCTTTCTCGCTCA-1", "iM.data_ACATGCACACTCCACT-1", "iM.data_CCTGTTGTCAAGATAG-1", "iM.data_ATAGGCTTCAATCCGA-1", "iM.data_AGCCAATTCTCCAATT-1", "iM.data_CGGAATTCACATGACT-1", "iM.data_TGGATGTCAGGTTCGC-1", "iM.data_CAATGACGTTGTGTTG-1", "iM.data_GTAAGTCGTCGACTTA-1", "iM.data_CGATCGGGTCACCACG-1", "iM.data_CCATCACTCGATGCAT-1", "iM.data_CGAGAAGAGCAGCCTC-1", "iM.data_AGCTCAAGTAGTCTGT-1", "iM.data_TTGGGATTCCCTCGAT-1", "iM.data_GGGCCATTCGATCCAA-1", "iM.data_GGGACAACACAGTATC-1", "iM.data_CGGAACCTCCACGGAC-1", "iM.data_AGTCTCCTCCTCAGAA-1", "iM.data_GCAACATGTAGGAAAG-1", "iM.data_TTCCTAAGTCTTCATT-1", "iM.data_TCCTAATCAGCAGTTT-1", "iM.data_TCAATTCGTCCTTGTC-1", "iM.data_ACCACAACAGCTGAGA-1", "iM.data_AGGAGGTGTATGAGAT-1", "iM.data_GTAGGTTCAACCCTCT-1", "iM.data_GGTAGAGAGTACGTCT-1", "iM.data_CAGCAATTCAACTTTC-1", "iM.data_GGGTTTAGTGAGGCAT-1", "iM.data_TACTTACCACAGAGCA-1", "iM.data_TATCGCCAGAAGTATC-1", "iM.data_GACCGTGAGGGACAGG-1", "iM.data_CCTTGTGCAGTGTATC-1", "iM.data_TTCGCTGAGAGTTGAT-1", "iM.data_TGGAGGAGTATGGTAA-1", "iM.data_TCTATACTCGACATAC-1", "iM.data_TATCGCCTCTTTGATC-1", "iM.data_CCTCCTCCATAGAGGC-1", "iM.data_GTTGTCCTCCCTCGTA-1", "iM.data_CTCCGATTCTCGTGAA-1", "iM.data_TGCTCCACATACAGAA-1", "iM.data_TTGCTGCTCTCTCAAT-1", "iM.data_GTGAGGATCTATTTCG-1", "iM.data_TCCTCTTGTTCTCCAC-1", "iM.data_CCCTGATAGCGACTTT-1", "iM.data_AGACACTGTGTTCATG-1", "iM.data_AGAACCTCATACCAGT-1", "iM.data_GAGTTGTCACTAACGT-1", "iM.data_TTTCATGCAGCATCTA-1", "iM.data_CCATCACTCTTTCAGT-1", "iM.data_ACTGTCCTCAAGAGGC-1", "iM.data_ACCAACACAGAATGTA-1", "iM.data_TGGATCATCGTTCTGC-1", "iM.data_ATGCCTCCACAGCCTG-1", "iM.data_CATTGAGTCTGCACCT-1", "iM.data_TCAATTCTCCGCACGA-1", "iM.data_AGCCAATTCATTTACC-1", "iM.data_CATCCCAGTTCGTAAC-1", "iM.data_GTCCTCACAGGTGACA-1", "iM.data_TCACGGGCATGGACAG-1", "iM.data_ATACCGACATCTCGTC-1", "iM.data_AGAGCCCTCAAGCTTG-1", "iM.data_TGGCGTGCAAGGGCAT-1", "iM.data_TGTTGGACAAAGGCTG-1", "iM.data_CATACCCCAAGAGTTA-1", "iM.data_CCGGTGAGTATTTCTC-1", "iM.data_TGCTCGTAGCCTCTGG-1", "iM.data_GCCAGGTTCACCTCAC-1", "iM.data_GCTGAATAGAAACTGT-1", "iM.data_AGGGTCCTCTACGGTA-1", "iM.data_AGACACTGTTAGTCGT-1", "iM.data_GTCTCACGTCAACACT-1", "iM.data_CGAGGAACAGAATGTA-1", "iM.data_CTTCAATTCAATGCAC-1", "iM.data_TGGGCGTTCACATTGG-1", "iM.data_CTCCTTTTCCAGTTCC-1", "iM.data_AAAGTGAGTTGTACGT-1", "iM.data_GACGCTGTCCGTTGGG-1", "iM.data_AATGGCTCACAACGAG-1", "iM.data_GCTCAAACAGGGAATC-1", "iM.data_CATTCCGTCGTCGACG-1", "iM.data_GCGGATCGTATTAAGG-1", "iM.data_AGTGTTGCACCTGCAG-1", "iM.data_CTTCTAAAGGCACTAG-1", "iM.data_GCAACATCAAATGGAT-1", "iM.data_TATCTTGTCGGCTTCT-1", "iM.data_TGGCGTGAGTAGAATC-1", "iM.data_TTTATGCGTCATACCA-1", "iM.data_GCAGCCATCACCGGTG-1", "iM.data_ATCATTCTCGGCTTCT-1", "iM.data_CAATGACTCCCGTTCA-1", "iM.data_GGGCTCAAGTTGGGAC-1", "iM.data_TCAGCAAGTGGATGAC-1", "iM.data_TACAACGCATGGCTGC-1", "iM.data_ACGGTTACAGGAGACT-1", "iM.data_GAGTCATTCTTGGAAC-1", "iM.data_TCATCCGCATGAGTAA-1", "iM.data_AGCGATTGTACCTAGT-1", "iM.data_TCGCTCACAAGTGCAG-1", "iM.data_TTGATGGTCCTTATGT-1", "iM.data_AGTCAACAGTTGCCCG-1", "iM.data_CGGAACCGTCACCCTT-1", "iM.data_TTGCATTAGATAGTGT-1", "iM.data_GACATCAGTGTCCGGT-1", "iM.data_GGGTGTCAGCTCCGAC-1", "iM.data_TGATTCTGTAACAGTA-1", "iM.data_GCCAGGTGTTAAGACA-1", "iM.data_CTTGATTCACCTCTAC-1", "iM.data_GCGGAAAGTGCGAACA-1", "iM.data_CATGCTCCAAACCACT-1", "iM.data_TCGGGTGGTTACACTG-1", "iM.data_CACGTTCGTTGTAGCT-1", "iM.data_CAAGGGAGTTGAGAGC-1", "iM.data_TAGACTGCACTTGTCC-1", "iM.data_TCAGTTTAGACCATTC-1", "iM.data_GAGAGGTAGTGATAGT-1", "iM.data_GTTAGACGTACAGCGA-1", "iM.data_ATTCCATTCTGACAGT-1", "iM.data_CATTCATGTTCTCCAC-1", "iM.data_TGTGGCGTCACTCGAA-1", "iM.data_GGGACAAAGAGATCGC-1", "iM.data_CGGGTCACAAACCATC-1", "iM.data_CAGGTATTCGGAAACG-1", "iM.data_CACAACATCCATTGGA-1", "iM.data_GCCAACGCAATAAGGT-1", "iM.data_AGACCCGAGCACCCAC-1", "iM.data_ACATTTCGTATCCCTC-1", "iM.data_CTTGATTCACTATGTG-1", "iM.data_TACAACGTCGAGTGGA-1", "iM.data_GTCCTCACAGACCCGT-1", "iM.data_CATTGTTCAACACAGG-1", "iM.data_ACAGGGAAGCGTCTGC-1", "iM.data_TCTCACGTCTCTGAGA-1", "iM.data_CTGTATTAGTGAACAT-1", "iM.data_ATCACTTTCCAGCCTT-1", "iM.data_AGCCAATGTATTCTCT-1", "iM.data_TGCTTCGGTGGCAGAT-1", "iM.data_CCGGGTAAGGTTGAGC-1", "iM.data_TCCATCGCAATTGCTG-1", "iM.data_TAATTCCAGCCTCTCT-1", "iM.data_TGCTTGCTCGGACCAC-1", "iM.data_TGGATCACAACATCGT-1", "iM.data_TGGTAGTTCCGCACGA-1", "iM.data_CAATTTCAGACCTCCG-1", "iM.data_CACTTCGCATACCAGT-1", "iM.data_TAGACCATCGCACGAC-1", "iM.data_CATCCGTTCAGTAGGG-1", "iM.data_CCACTTGTCTTCTGTA-1", "iM.data_CGCAGGTAGCGTTCAT-1", "iM.data_GGCACGTTCACTCACC-1", "iM.data_ACCCTCAAGACTTAAG-1", "iM.data_ACACAGTCAGCACAGA-1", "iM.data_GACGTTATCTACCACC-1", "iM.data_GTGTAACTCGTGGCTG-1", "iM.data_CGTTCTGTCTACTTCA-1", "iM.data_AGATGCTGTACAGTTC-1", "iM.data_ACTTCGCTCACCTACC-1", "iM.data_CTCTCAGCACACGGTC-1", "iM.data_GGGTCACTCGCAGTTA-1", "iM.data_GGAGCAAAGCCTTTCC-1", "iM.data_ACCTGAATCAGTGATC-1", "iM.data_AGTTAGCCACTTCCTG-1", "iM.data_CCTATCGCAACAAAGT-1", "iM.data_TCCTCCCAGAGATCGC-1", "iM.data_ACCCAAAAGAACTTCC-1", "iM.data_CAAGAGGCAACGGCTC-1", "iM.data_GTAGCTACACTGAGGA-1", "iM.data_TGCATCCTCAGTGTTG-1", "iM.data_CTATCTAGTTTGGAAA-1", "iM.data_CCTCACAGTCCACATA-1", "iM.data_GCACGGTTCGAGCCTG-1", "iM.data_GGGTTTAAGCTAAGTA-1", "iM.data_AAGTACCGTTTCGATG-1", "iM.data_TCGTAGAGTCCCTCAT-1", "iM.data_ACTTAGGAGACAACTA-1", "iM.data_TTGCCTGTCTCACTCG-1", "iM.data_GTAGAGGCACGGCCAT-1", "iM.data_GAGACCCAGGCGTTAG-1", "iM.data_GGGAAGTGTTAAGCAA-1", "iM.data_TTACGCCGTAGCGTCC-1", "iM.data_GCCTGTTTCTCGGTCT-1", "iM.data_CCCAACTAGGCTTAAA-1", "iM.data_AACAACCGTTAAGACA-1", "iM.data_TAGACCAGTGTCGCTG-1", "iM.data_GCAGTTAGTCCACTTC-1", "iM.data_CTCCACAAGCGCTGCT-1", "iM.data_AGGCCACCACGGGTAA-1", "iM.data_ATTACCTAGCGAGTCA-1", "iM.data_GTCATTTAGTTCACTG-1", "iM.data_AAATGGAAGTAAGACT-1", "iM.data_CTTCTAACAAGCGAGT-1", "iM.data_AGCGTATAGTCGTTAC-1", "iM.data_CGACAGCAGGCCTGAA-1", "iM.data_GGATCTACAGATCCTA-1", "iM.data_AAGCATCAGCTTAAGA-1", "iM.data_TAAGCACAGTCCGTCG-1", "iM.data_TAAGCGTCAACTAGAA-1", "iM.data_CGTAGTAAGACCCGCT-1", "iM.data_GTGATGTTCGCATAGT-1", "iM.data_TCAAGTGGTGTTGAGG-1", "iM.data_CTTACCGTCAAGCTTG-1", "iM.data_GCGAGAAGTAGAGGAA-1", "iM.data_TTCCGTGTCCAACCAA-1", "iM.data_CAGTTCCTCCCGAATA-1", "iM.data_TTTGACTTCTTCTAAC-1", "iM.data_TTACAGGAGACATACA-1", "iM.data_ATTTCACGTTGTTGAC-1", "iM.data_AGGCCACTCCGTACGG-1", "iM.data_CAGATACTCCCGAGGT-1", "iM.data_CGTCCATCACGAAGAC-1", "iM.data_ACTTCGCGTATCGCGC-1", "iM.data_CATTCCGCATTAGGAA-1", "iM.data_TTGAGTGGTCCTCAGG-1", "iM.data_TGGTACAGTTCGTGCG-1", "iM.data_AGACTCACATGAAAGT-1", "iM.data_TGGTACAGTTGCAAGG-1", "iM.data_AGGAGGTCAAAGACGC-1", "iM.data_CAATACGAGAAGAACG-1", "iM.data_AATGGAATCCGAGCTG-1", "iM.data_GTACAGTCATCTCGTC-1", "iM.data_GACACGCCATCTAACG-1", "iM.data_CTGTACCAGTCTCGTA-1", "iM.data_TCCCATGAGGGCAGGA-1", "iM.data_ATACCTTCACATAACC-1", "iM.data_GAGTTACTCTCGCTCA-1", "iM.data_TGGGAAGCAAGCACAG-1", "iM.data_CCTCACAGTCCAAATC-1", "iM.data_TAGGGTTTCTCGCTCA-1", "iM.data_ACATGCATCCTCTCGA-1", "iM.data_GAGTTTGTCGATGCAT-1", "iM.data_TTACGCCGTTTCTATC-1", "iM.data_AGGGCCTCACAGACGA-1", "iM.data_CTCATTACAATGTTGC-1", "iM.data_AGTCTCCTCATGCTAG-1", "iM.data_GAGATGGCAGACACAG-1", "iM.data_TCCAGAAGTAGCGTAG-1", "iM.data_CTGGTCTTCCAACTGA-1", "iM.data_ATCAGGTGTGACGTCC-1", "iM.data_GCGATCGCATCATTGG-1", "iM.data_CAGCCAGTCCGTGCGA-1", "iM.data_TGGGTTAGTCCAAAGG-1", "iM.data_CATCGCTAGTAAAGCT-1", "iM.data_GCCCGAAAGAACAGGA-1", "iM.data_CATGGTATCTGCATAG-1", "iM.data_GCACTAATCCATTTCA-1", "iM.data_AAACGAAAGCTAGTTC-1", "iM.data_TTCCTTCCAGACCGCT-1", "iM.data_ACACGCGTCCAAGAGG-1", "iM.data_ACGATGTCAATATCCG-1", "iM.data_CCTAAGATCTGGACCG-1", "iM.data_GGAGGTACATTCTCTA-1", "iM.data_TTGCCTGAGGGTTGCA-1", "iM.data_TCATTACGTGCACAAG-1", "iM.data_GTATTTCAGCCTCTCT-1", "iM.data_GTCCCATTCCAGCAAT-1", "iM.data_GTCAAACAGATACATG-1", "iM.data_GAAGTAACATGACGGA-1", "iM.data_CTTGATTTCGAACGGA-1", "iM.data_ACGGTTAAGGTACATA-1", "iM.data_AGCATCATCCGATAAC-1", "iM.data_CATGGATGTTTGGGTT-1", "iM.data_TACGCTCTCCTTCTGG-1", "iM.data_GTCATCCCAGGTTCGC-1", "iM.data_CTCACTGAGGTGCTGA-1", "iM.data_TGAATCGGTAGGTAGC-1", "iM.data_CACGTGGCAGCCTACG-1", "iM.data_TTACGTTCATCTTCGC-1", "iM.data_TACCCACCAGAGAATT-1", "iM.data_GACCTTCTCATCGTAG-1", "iM.data_GTAATCGCAGACATCT-1", "iM.data_AGTCTCCTCCAGTGCG-1", "iM.data_GCTTGGGCACATTGTG-1", "iM.data_GCTACCTTCACCTCTG-1", "iM.data_GTAGAAAAGGGATCTG-1", "iM.data_GTCATGAAGTCCCGGT-1", "iM.data_TAACACGTCCTATTTG-1", "iM.data_ATCCGTCTCGCTACAA-1", "iM.data_GCTACAACACAGCCAC-1", "iM.data_GTATTTCCATCCTCAC-1", "iM.data_TCTCTGGGTTCCTACC-1", "iM.data_AGAAATGTCCGAGTGC-1", "iM.data_TTCATTGTCATGTCTT-1", "iM.data_CCACGTTCATCGTCCT-1", "iM.data_AGATGAACAATGCAGG-1", "iM.data_ACAGCCGCAGTGAGCA-1", "iM.data_AGTTCCCTCCCATAAG-1", "iM.data_CCGGTAGCAATGTTGC-1", "iM.data_CGGACACGTATTCCTT-1", "iM.data_ACGTAGTTCCACTAGA-1", "iM.data_GGGATCCAGCCTTTGA-1", "iM.data_TATACCTTCCCAACTC-1", "iM.data_GAATCGTCAGGAGGTT-1", "iM.data_GTAATGCGTCCGTACG-1", "iM.data_TACACCCGTGCCGGTT-1", "iM.data_TTCACGCAGCAACAAT-1", "iM.data_AGGGTCCCATGAATCC-1", "iM.data_GTCATGACACCGTACG-1", "iM.data_TACATTCTCGGTGCAC-1", "iM.data_CACTAAGTCCGTAGGC-1", "iM.data_GGGCTACCATCCTATT-1", "iM.data_TCATTACCAACCCTAA-1", "iM.data_TACGGGCAGTATAACG-1", "iM.data_CTGCCTAGTCCTCCAT-1", "iM.data_GTCAAACGTATTTCTC-1", "iM.data_TCAATTCTCGGATAAA-1", "iM.data_CTCCACATCCGTGACG-1", "iM.data_GAGGGTATCGTGGACC-1", "iM.data_CTCATTATCATTCACT-1", "iM.data_TTGAACGAGCTAAACA-1", "iM.data_CAACCAATCTGGGAGA-1", "iM.data_AGAAATGCAATCAAGA-1", "iM.data_CGATGCGAGCGGCTCT-1", "iM.data_CCACACTGTGATTGGG-1", "iM.data_TGTGCGGAGCACCCAC-1", "iM.data_AGTAGTCAGTTGTCAC-1", "iM.data_AACCACACATCAGCAT-1", "iM.data_CGAATTGGTTACGTAC-1", "iM.data_CCGTAGGCAGCGTTGC-1", "iM.data_TCCCACAAGCCTGGAA-1", "iM.data_ACTTTCACATTATGCG-1", "iM.data_AGCTACACATAGAGGC-1", "iM.data_TGGTAGTAGACCTCAT-1", "iM.data_GTCAAACGTTTATGCG-1", "iM.data_TCGCTTGTCGTCCTCA-1", "iM.data_CATTCCGGTATGCTAC-1", "iM.data_GTCCCATGTGATAGTA-1", "iM.data_AAGCGTTTCGCGCTGA-1", "iM.data_CACGTGGCACACACGC-1", "iM.data_CCCTCAACAGTTACCA-1", "iM.data_ATAGACCCAGCTAACT-1", "iM.data_TTCACCGGTTATCTGG-1", "iM.data_ATACTTCTCGAACGCC-1", "iM.data_ATGCATGTCACTACGA-1", "iM.data_ACAGGGAAGCTGTCCG-1", "iM.data_TATATCCAGGTGCCTC-1", "iM.data_CACGTTCGTATTGACC-1", "iM.data_TGACTCCTCTGAATGC-1", "iM.data_TTGGGCGCATACTGTG-1", "iM.data_AAAGGGCGTTCTGAGT-1", "iM.data_TAGGGTTCACTCTAGA-1", "iM.data_ATTCAGGTCTCATGCC-1", "iM.data_GTGTGATCAGTTGCGC-1", "iM.data_TCGCAGGGTTATAGAG-1", "iM.data_AGACAGGAGAGGTGCT-1", "iM.data_TAATCTCGTGGCATCC-1", "iM.data_AAATGGACACTTCTCG-1", "iM.data_CATGCAACATGACGAG-1", "iM.data_TAACGACGTAACACCT-1", "iM.data_GATGATCCAACTGCCG-1", "iM.data_CGGAATTCACTTCAGA-1", "iM.data_GGAATCTGTGGGCTCT-1", "iM.data_TTGACCCAGGCAGGTT-1", "iM.data_TGCAGGCCATAGATGA-1", "iM.data_GATGTTGAGCCTAACT-1", "iM.data_ATGTCCCCATGCCGCA-1", "iM.data_CATCCACGTTGTATGC-1", "iM.data_TCCTTTCCACGCGTGT-1", "iM.data_CGCATAATCAACTGGT-1", "iM.data_GAGGCAAGTCGCAGTC-1", "iM.data_CACGTTCTCGCCTTGT-1", "iM.data_TCATTCAGTTGCTCCT-1", "iM.data_AAGTACCTCATGCCCT-1", "iM.data_TTCAATCCACGTGTGC-1", "iM.data_CCCAACTAGCACACAG-1", "iM.data_TAACGACCATCGCTCT-1", "iM.data_ATCCCTGGTCTCAGGC-1", "iM.data_TCTGCCATCCAGTGTA-1", "iM.data_CGCCATTCATAAGCAA-1", "iM.data_AAGACAAGTATCGCGC-1", "iM.data_TATATCCCAATCCAGT-1", "iM.data_TGCTGAACATCGATCA-1", "iM.data_TGAGGTTCAGCACCCA-1", "iM.data_TTCTTCCTCGCCTATC-1", "iM.data_TTCCTCTTCGAAGCCC-1", "iM.data_TAGTGCATCGCAGTTA-1", "iM.data_TGCTTGCAGGCAATGC-1", "iM.data_ATCGTAGCAAGCAATA-1", "iM.data_CAGATCAGTGATTAGA-1", "iM.data_CTTTCAACACACACGC-1", "iM.data_AAAGGATCAACGGCTC-1", "iM.data_CGAGTTATCGGCCCAA-1", "iM.data_TTGTGGAGTGCCTACG-1", "iM.data_GATTTCTGTTGCACGC-1", "iM.data_GGGCCATTCGTTCATT-1", "iM.data_TGTAAGCTCCCGTAAA-1", "iM.data_TTCCAATGTCGCCTAG-1", "iM.data_TACATTCTCGCACGAC-1", "iM.data_TCATACTGTAGCTTGT-1", "iM.data_TCACATTCATGAATCC-1", "iM.data_TCCTGCATCCGTACGG-1", "iM.data_CATTCATCAAAGGCGT-1", "iM.data_TATCTTGAGCCTGAGA-1", "iM.data_AGAAATGTCAAGCCCG-1", "iM.data_TCACTATTCTGGGCCA-1", "iM.data_GCGTGCAAGACCAGCA-1", "iM.data_ATGAAAGCATGATCTG-1", "iM.data_CATTGTTAGCAACTCT-1", "iM.data_AAGACAAGTATTGGCT-1", "iM.data_CACGTTCAGGTTCATC-1", "iM.data_TGCAGGCTCATCTGTT-1", "iM.data_ATCCACCCAGGCATTT-1", "iM.data_CTCATCGCATTCATCT-1", "iM.data_TTCCACGCACTGAGGA-1", "iM.data_CCGTTCAGTTTGCCGG-1", "iM.data_AGGCTGCTCTCCCATG-1", "iM.data_CATCAAGCAAGGCAAC-1", "iM.data_GTTCTATAGGCACTCC-1", "iM.data_GACTGATTCATGACAC-1", "iM.data_TGACGCGGTCCATCTC-1", "iM.data_GAGTTGTAGACCATTC-1", "iM.data_CTCCATGGTCCACAGC-1", "iM.data_AACCAACAGCTAGCCC-1", "iM.data_TACTGCCAGAAACCCG-1", "iM.data_AGGACGACACTGTGAT-1", "iM.data_TGCCGAGTCTATCGCC-1", "iM.data_AGGTTACTCTGCACCT-1", "iM.data_CATACAGCATAGTCAC-1", "iM.data_AGGGTTTAGGCTTCCG-1", "iM.data_ATGGGAGAGTCTACCA-1", "iM.data_AAGAACAGTGCGAACA-1", "iM.data_AGTGCCGGTTAATGAG-1", "iM.data_CGAGGAACAGCTGCCA-1", "iM.data_CCTCTCCCAACGACTT-1", "iM.data_CAATTTCAGCAATTAG-1", "iM.data_TCAGCCTGTCTGCGCA-1", "iM.data_GCCTGTTCAACGACTT-1", "iM.data_TTGTGGATCCGAAGGA-1", "iM.data_ACTTCCGTCACGATCA-1", "iM.data_GAAGAATAGACCTCAT-1", "iM.data_CTCACTGGTGTCCACG-1", "iM.data_GTAATGCAGGTTGGTG-1", "iM.data_CCACTTGCAACCAATC-1", "iM.data_CATAGACCATACAGCT-1", "iM.data_TACGGGCTCACGGACC-1", "iM.data_ATGGATCCATCGCCTT-1", "iM.data_TCACACCTCTCTCTTC-1", "iM.data_GAATCGTTCAGTCATG-1", "iM.data_CTAAGTGCACGATTCA-1", "iM.data_CTCATCGAGGCTGAAC-1", "iM.data_TCGCAGGTCTCGGTCT-1", "iM.data_TCAAGACTCGGATTAC-1", "iM.data_GCCATTCAGTCACACT-1", "iM.data_GTCCACTTCCAGCTCT-1", "iM.data_CCTCAACAGATTGAGT-1", "iM.data_AAGCGTTAGCAGAAAG-1", "iM.data_AGTGATCTCGTCCATC-1", "iM.data_GACCGTGGTTACGATC-1", "iM.data_TGTTCATAGGTTAAAC-1", "iM.data_CCTAACCCACTGAATC-1", "iM.data_GTAAGTCCAACGACAG-1", "iM.data_TCAAGCACATCATTGG-1", "iM.data_GGGCGTTTCTCTGCTG-1", "iM.data_AATCACGTCCTAAACG-1", "iM.data_TTTCACAGTTGCTTGA-1", "iM.data_TAGACTGCATTGACCA-1", "iM.data_CGAGTTATCAGCTTCC-1", "iM.data_CCCGAAGTCCACCCTA-1", "iM.data_AGACACTAGAACAAGG-1", "iM.data_GTTAGTGCAAGATGGC-1", "iM.data_CACCGTTTCCTAGCCT-1", "iM.data_TATTGCTAGTCTAACC-1", "iM.data_AACGGGAGTACTCGAT-1", "iM.data_CTACTATAGGGTCACA-1", "iM.data_TCTGGCTTCAAGGCTT-1", "iM.data_GTGTCCTCACGTAACT-1", "iM.data_ACTTCGCTCCTCAGAA-1", "iM.data_TAGGTTGGTAGTGGCA-1", "iM.data_TCGGGACTCTAGTGTG-1", "iM.data_CCACACTCAACACAAA-1", "iM.data_TAGACCAGTTAGGACG-1", "iM.data_TAAGCCAAGCTAGAAT-1", "iM.data_GACACGCTCCTCACTG-1", "iM.data_ACATTTCAGCCATTCA-1", "iM.data_TTGTTGTGTAACATGA-1", "iM.data_AACGTCAGTCATCGGC-1", "iM.data_CTACGGGAGTGCGACA-1", "iM.data_GGTGTTAGTCACGACC-1", "iM.data_GTCACTCAGCATATGA-1", "iM.data_ACGTCCTCACCGTGCA-1", "iM.data_GTCACTCCATGTTCGA-1", "iM.data_ACGGTCGAGTGTTCCA-1", "iM.data_ATGAAAGTCCAAGAGG-1", "iM.data_CAATACGAGTTTGAGA-1", "iM.data_CATGCAAAGTATGGCG-1", "iM.data_GGGATCCCAGCTTTCC-1", "iM.data_TATCTGTTCAACCTTT-1", "iM.data_TCAATTCGTGCCGTTG-1", "iM.data_ATCGTAGCAGGCTCTG-1", "iM.data_AATGGCTGTTGCACGC-1", "iM.data_GCCCGAAAGAACCCGA-1", "iM.data_GACCAATTCGCTGTTC-1", "iM.data_TGGGAAGTCACTGTCC-1", "iM.data_ACCCAAAAGGTTACCT-1", "iM.data_ATACCTTTCTACCCAC-1", "iM.data_AGACAAAGTAGACTGG-1", "iM.data_GCTACAAAGGGACCAT-1", "iM.data_TTACGCCCAGAACTCT-1", "iM.data_GTCATGAGTCGATTTG-1", "iM.data_TATTTCGCAAGGCTTT-1", "iM.data_ACTATGGGTGAGTAAT-1", "iM.data_GAGCTGCTCTGCACCT-1", "iM.data_GAATCACGTAGACGGT-1", "iM.data_TTCTTCCAGGCATCTT-1", "iM.data_GGTCACGGTTAAACAG-1", "iM.data_AGTGTTGAGTATTGCC-1", "iM.data_ACCCAAATCACCTTAT-1", "iM.data_TAGCACATCCTTATAC-1", "iM.data_CATGAGTAGCAACCAG-1", "iM.data_TCGAACAAGCCTGCCA-1", "iM.data_GTGTGGCCACGAAAGC-1", "iM.data_AAGCGAGAGATGACCG-1", "iM.data_GAGACCCCATAACGGG-1", "iM.data_CATACCCCAAACACGG-1", "iM.data_TCAGGTACAGCTTTGA-1", "iM.data_TGTCCCACAAAGCTAA-1", "iM.data_TCATTCAGTCATCAGT-1", "iM.data_ACCAAACTCAAACGAA-1", "iM.data_GTTACCCCAGGAGGTT-1", "iM.data_TCTACCGGTTACACAC-1", "iM.data_GGAGATGAGTCAGGGT-1", "iM.data_CAACAACGTCGCATGC-1", "iM.data_TGTCCACCACCGTGAC-1", "iM.data_CCAATGATCACGGAGA-1", "iM.data_TCGAACATCTAGCCAA-1", "iM.data_CATTGAGTCCCTTCCC-1", "iM.data_TATCGCCGTCTACACA-1", "iM.data_CATTCCGGTATGGAAT-1", "iM.data_CTTACCGGTCCTATAG-1", "iM.data_GGGCTCACAACGACTT-1", "iM.data_CTCAGTCCATCGGCCA-1", "iM.data_AAGATAGTCCGGCAGT-1", "iM.data_AGGACTTGTGCAACAG-1", "iM.data_CCTCTCCGTTGCCGAC-1", "iM.data_GCCCAGAGTTCGTACA-1", "iM.data_GTCAAACCAGTATACC-1", "iM.data_CAGCAGCCAGAGTTCT-1", "iM.data_GCAACCGTCCATGATG-1", "iM.data_GGGTGTCTCCAAGCAT-1", "iM.data_GGGTGAACATCTTCGC-1", "iM.data_ATTCCTATCCATAGGT-1", "iM.data_CTCCTCCCATAACAGA-1", "iM.data_ACAGCCGGTCCTGGGT-1", "iM.data_TAGACTGTCATGCCAA-1", "iM.data_TACCCACCACCGGCTA-1", "iM.data_AACAGGGAGCCTGAGA-1", "iM.data_ATGGGAGGTCATGGCC-1", "iM.data_GGGACTCAGCGATTCT-1", "iM.data_CCATCACTCCAGCCTT-1", "iM.data_GTGGAGAGTCTTGAAC-1", "iM.data_GACACGCCACACCTAA-1", "iM.data_CATCCCAAGGACAACC-1", "iM.data_GAAGCGAGTAGCTGCC-1", "iM.data_CACTGTCTCTCATGCC-1", "iM.data_TGTCCACGTGACATCT-1", "iM.data_ATCGTCCCAGACCATT-1", "iM.data_CAGTTCCCAAGTTCCA-1", "iM.data_GACTTCCGTTACACAC-1", "iM.data_TGTCCACGTCAGCTTA-1", "iM.data_GCTACCTGTACATACC-1", "iM.data_ACAACCAAGCCAACCC-1", "iM.data_TCATGCCTCTATTCGT-1", "iM.data_GCTTGGGCAGAAGTTA-1", "iM.data_GCCAGGTCATAGATCC-1", "iM.data_TCCGGGAGTTCACGAT-1", "iM.data_TAACCAGGTGATAGTA-1", "iM.data_CAACGGCAGGAACGAA-1", "iM.data_CCTCTCCGTGCGGTAA-1", "iM.data_GCAGGCTCATGATAGA-1", "iM.data_TAACACGAGTCAGAGC-1", "iM.data_CAGAGCCCAACCGCTG-1", "iM.data_GAAGGACCACCTCAGG-1", "iM.data_GGTTGTATCTCAACCC-1", "iM.data_TCTGCCACAGTTCTAG-1", "iM.data_TTTCACAGTCACTGAT-1", "iM.data_GAATCACTCCTCTCTT-1", "iM.data_AGACCATCACTACTTT-1", "iM.data_TTCTGTACATCGGCCA-1", "iM.data_GAACACTTCCGTAATG-1", "iM.data_TAAGTCGTCCTTCTGG-1", "iM.data_TCGACCTTCTACGCAA-1", "iM.data_CTTGATTTCAAGATAG-1", "iM.data_CCTTCAGTCAGTCACA-1", "iM.data_CAATACGCACTTGTGA-1", "iM.data_CATTGCCCACTGATTG-1", "iM.data_TCAGCCTTCTTCACGC-1", "iM.data_CCGGTGACATCCTTCG-1", "iM.data_AATGACCAGTTCACTG-1", "iM.data_ATGTCTTTCCAATCCC-1", "iM.data_CCACTTGCACAGTACT-1", "iM.data_AGGAGGTTCGTAGGGA-1", "iM.data_CCTCTAGCAACCCTCT-1", "iM.data_GATCAGTGTGCATTAC-1", "iM.data_CTTCTAACACCTCTAC-1", "iM.data_TTTCACATCTCCAAGA-1", "iM.data_ACTTTCACATCCGTGG-1", "iM.data_TCAGTGATCCAATCCC-1", "iM.data_CCCTTAGTCCGATCTC-1", "iM.data_CTCTCAGAGGAACGCT-1", "iM.data_CAAGCTACATAAGCGG-1", "iM.data_TGGATCAAGCATCCCG-1", "iM.data_GCAACCGAGTCGTTAC-1", "iM.data_CAGATACCACATCCCT-1", "iM.data_TCCACCACAGTTCCAA-1", "iM.data_AGTGACTAGCGACTGA-1", "iM.data_CCGTTCACAGCCGTTG-1", "iM.data_ACAAGCTAGTACTGGG-1", "iM.data_CTAGACATCCTTCAGC-1", "iM.data_TCGCTCAAGGGCAATC-1", "iM.data_ACCCAAAGTTCGTAAC-1", "iM.data_CACTGTCCAGAGTTCT-1", "iM.data_TCCACGTTCAGTGATC-1", "iM.data_CATTGAGTCCCGAATA-1", "iM.data_TCCTCGACAGTAACGG-1", "iM.data_AGAGCAGCATAGGCGA-1", "iM.data_CTTCCGAGTCGCAGTC-1", "iM.data_TCATCATCAGTGAGCA-1", "iM.data_AGAGCAGCAGAGGCTA-1", "iM.data_TTACCATCAATGAAAC-1", "iM.data_GGTAACTAGGTTACAA-1", "iM.data_CAATGACAGTATAGAC-1", "iM.data_AGAACAACAGCGGTCT-1", "iM.data_AGGTGTTCAACAGAGC-1", "iM.data_AGACACTCAGCGACCT-1", "iM.data_ACCAACATCGTTCTGC-1", "iM.data_CAGCAATTCCGAGGCT-1", "iM.data_ATTCCTATCTGAACGT-1", "iM.data_AAGTTCGAGTACTGGG-1", "iM.data_ACCTGTCTCCGTGTAA-1", "iM.data_TTACGTTTCAAACGTC-1", "iM.data_AACGAAAAGCTAGTTC-1", "iM.data_ATCCATTTCGACCTAA-1", "iM.data_TCACTATAGAAATGGG-1", "iM.data_CGGGTCATCCCTCTCC-1", "iM.data_AGACAGGGTTATCCAG-1", "iM.data_GAACTGTCAATGTCAC-1", "iM.data_AGGGTGAAGCTTCTAG-1", "iM.data_AGAACAATCCAGTGCG-1", "iM.data_TGGATGTTCTGGTGCG-1", "iM.data_TGCATCCCATCTGGGC-1", "iM.data_TCACACCCAGCTGTTA-1", "iM.data_ACTACGAGTGCAAGAC-1", "iM.data_CTGCAGGAGCTATCCA-1", "iM.data_TGTCAGAGTAGACACG-1", "iM.data_TTCATTGTCAAGAGTA-1", "iM.data_TATTGGGCATACTGTG-1", "iM.data_TACTTACTCCACGTCT-1", "iM.data_AACGGGAAGATCACTC-1", "iM.data_AACAAGACACCTCGTT-1", "iM.data_CTTCCTTTCGAACACT-1", "iM.data_CATCCACCACAAATCC-1", "iM.data_GGAGGTAGTAACCCTA-1", "iM.data_AGGGTGATCACCGCTT-1", "iM.data_CAGGGCTCAACGACTT-1", "iM.data_CGTTAGACATCGGTTA-1", "iM.data_CCACTTGTCCCAATAG-1", "iM.data_CGGGTGTTCTCGTTTA-1", "iM.data_CTGCAGGCAAGCTGCC-1", "iM.data_TCGAACAGTCTCCTGT-1", "iM.data_ATGGGAGCATAGAAAC-1", "iM.data_CAACAACCAAGTTTGC-1", "iM.data_GCAACCGGTGCAACGA-1", "iM.data_CATTGCCCAGGGATAC-1", "iM.data_ACACGCGAGTTCATGC-1", "iM.data_TACGGGCCAACATACC-1", "iM.data_GCGGAAATCTAGCAAC-1", "iM.data_TACACCCTCCATTCAT-1", "iM.data_GCATGATCAAATACGA-1", "iM.data_TCACGGGAGAAACACT-1", "iM.data_TCATTACAGTGCAAAT-1", "iM.data_TGCAGTATCGCTCTAC-1", "iM.data_CCCTCTCAGTCCCAAT-1", "iM.data_CCACACTCATTAAAGG-1", "iM.data_CAACGGCTCTACTGCC-1", "iM.data_GGTAACTAGCCTTCTC-1", "iM.data_CAGCAATGTCGTCATA-1", "iM.data_GTCTGTCTCTGTGCGG-1", "iM.data_TTGTTGTGTCGGAACA-1", "iM.data_CAAGACTTCCAACACA-1", "iM.data_CATGCGGGTCCCGTGA-1", "iM.data_TGCATCCAGGTGGCTA-1", "iM.data_TCCTGCAGTACCCGCA-1", "iM.data_TCTGGCTCAAGTTTGC-1", "iM.data_ATACCGACATCATTGG-1", "iM.data_CTATCCGAGAGCCGAT-1", "iM.data_TCTCAGCCACGGCTAC-1", "iM.data_TGTCCTGCACCTATCC-1", "iM.data_AGAACAACAGTGGCTC-1", "iM.data_GCTCAAAGTGAGACGT-1", "iM.data_ATCCGTCTCGCACGGT-1", "iM.data_CATTTCAAGCATCCCG-1", "iM.data_CGGACACCAGGAACCA-1", "iM.data_AGGGAGTCACAAGGTG-1", "iM.data_GCTGGGTGTTGAGTCT-1", "iM.data_CATTTCATCCACCCTA-1", "iM.data_CTTAGGAGTGAACTAA-1", "iM.data_ACGGTTACACCAGGTC-1", "iM.data_AACCTGAAGTATTCCG-1", "iM.data_CACACAAAGCCGTTAT-1", "iM.data_TAGAGTCAGGACTAAT-1", "iM.data_GTAAGTCAGGAAAGAC-1", "iM.data_CATGCGGAGGATCATA-1", "iM.data_TACCTCGCAACCAATC-1", "iM.data_CACACAAGTTTACGAC-1", "iM.data_ATGGGTTGTCCCGGTA-1", "iM.data_ACTATTCCAAGACGAC-1", "iM.data_AGACACTCACTCATAG-1", "iM.data_GATAGAACATAGACTC-1", "iM.data_CACTAAGTCTGAATCG-1", "iM.data_CAATCGATCAAAGAAC-1", "iM.data_CGGGTCAAGGGCCAAT-1", "iM.data_AATGGAACAATCTCTT-1", "iM.data_TGTCCTGCAAACCGGA-1", "iM.data_GCAACATGTCTATGAC-1", "iM.data_ACGTACATCCTAGAGT-1", "iM.data_CATGCCTGTTTCGACA-1", "iM.data_CTACGGGTCAGACCCG-1", "iM.data_GTAGCTACACAGCTGC-1", "iM.data_CTCCACACAACTCATG-1", "iM.data_ACCACAATCGTCTACC-1", "iM.data_CTGGCAGTCATTCACT-1", "iM.data_CACAACACATCGAGCC-1", "iM.data_GTGGCGTTCAAGAATG-1", "iM.data_AGAGCCCCATCTAGAC-1", "iM.data_GACAGCCAGAAGCCAC-1", "iM.data_GATAGCTTCCGTTTCG-1", "iM.data_TTGCCTGGTCTTCTAT-1", "iM.data_AACAAAGCAATTGCCA-1", "iM.data_AGTTCGAGTTTCAGAC-1", "iM.data_ATGAGTCTCTAACACG-1", "iM.data_CAGGCCATCACCTACC-1", "iM.data_TCCACCAAGGCTCAAG-1", "iM.data_ATGAAAGTCGAAGCAG-1", "iM.data_TCGCTCACACCTATCC-1", "iM.data_CTTCAATGTACAGAAT-1", "iM.data_CGAATTGTCCGCAAAT-1", "iM.data_ATTCAGGCATACACCA-1", "iM.data_CCACGAGGTTCTGACA-1", "iM.data_GTGAGGATCTGGACTA-1", "iM.data_CCACGTTTCCGCGAGT-1", "iM.data_GCATGATTCACTTCTA-1", "iM.data_GGGTTATCATGCGGTC-1", "iM.data_ACATCCCTCTTCCCGA-1", "iM.data_CATGCTCCACTCCCTA-1", "iM.data_AAGACAATCTTCGACC-1", "iM.data_AACGGGAAGGTCGACA-1", "iM.data_CAGGTATGTCATCAGT-1", "iM.data_GCATCTCAGCCTTCTC-1", "iM.data_GAACTGTGTCACATTG-1", "iM.data_AATCACGAGTACCCTA-1", "iM.data_CCGTGAGAGGTTTACC-1", "iM.data_GCTGAATAGACCATGG-1", "iM.data_AACACACAGCCTCTGG-1", "iM.data_TAACGACCACACGTGC-1", "iM.data_GCCGATGGTCTTCAAG-1", "iM.data_TCAAGACCATGGTGGA-1", "iM.data_GACCAATGTACGTTCA-1", "iM.data_TCCTTTCGTATCAGCT-1", "iM.data_CTACGGGCACTGAATC-1", "iM.data_ATAGGCTCAGCAGTTT-1", "iM.data_AAGGTAAGTATACCCA-1", "iM.data_AGGTTGTCAACGACTT-1", "iM.data_CTAACCCTCCATTTAC-1", "iM.data_CAGTTCCGTCTCAGGC-1", "iM.data_AGTCAACGTCCATCTC-1", "iM.data_ACTTATCGTCTCTCAC-1", "iM.data_AAGTACCAGACCAGCA-1", "iM.data_TCCACGTCAGCTGTCG-1", "iM.data_TGCAGGCTCCCAGGCA-1", "iM.data_TCTATACCATTGACCA-1", "iM.data_AAAGTCCTCATCGTAG-1", "iM.data_CCTTGTGGTGCCTAAT-1", "iM.data_ACTTCGCTCTCTCGAC-1", "iM.data_ACCAAACGTCTGCCTT-1", "iM.data_TCCTTCTTCCATACAG-1", "iM.data_ATCGCCTCAGCCCACA-1", "iM.data_ACCACAATCTCCTGCA-1", "iM.data_CAGCACGTCTCTCGAC-1", "iM.data_AGGATAAGTCCACTCT-1", "iM.data_GTACAACCAGCGGTTC-1", "iM.data_GAGGCCTTCGTTCCCA-1", "iM.data_TCTACATTCCCAGGCA-1", "iM.data_AACAACCAGGCCTGAA-1", "iM.data_TAGGTACCAAACTCTG-1", "iM.data_AACCTGACAAGCTACT-1", "iM.data_GGGCTCACAAGCAGGT-1", "iM.data_GGCTGTGAGCGTACAG-1", "iM.data_GAAATGACAGGTCTCG-1", "iM.data_AGACACTCACCTTCGT-1", "iM.data_CGTTAGACATTACTCT-1", "iM.data_CAGTTCCCAGAGAATT-1", "iM.data_CGGAACCAGGTTCATC-1", "iM.data_CGGACACCACTTGAGT-1", "iM.data_AGGTTACGTATTAAGG-1", "iM.data_GCTGAATCATCCAATG-1", "iM.data_TGATCTTCATCAGCTA-1", "iM.data_GGTAACTGTGGTAACG-1", "iM.data_CAGATTGCAGGCATTT-1", "iM.data_AGGAGGTTCTTTGCTA-1", "iM.data_CTCCCAACAGAACGCA-1", "iM.data_CTAACCCGTATCGATC-1", "iM.data_CTAGACAAGACATCAA-1", "iM.data_AGAAATGCACAACGCC-1", "iM.data_TTTGGAGTCGGAAACG-1", "iM.data_ATCACAGTCCATATGG-1", "iM.data_TAACACGGTCAACCAT-1", "iM.data_TGAGCATGTCGCACAC-1", "iM.data_CCTAACCCACTACTTT-1", "iM.data_CACAACATCAAACTGC-1", "iM.data_CCGATGGGTTCAAACC-1", "iM.data_AGGGTGATCACCGGTG-1", "iM.data_GCACATATCTTCACGC-1", "iM.data_TTACCATTCTTCTCAA-1", "iM.data_ACGTACATCACTGCTC-1", "iM.data_TCCTAATTCGCATTAG-1", "iM.data_TAACACGGTTCGAACT-1", "iM.data_TACACCCTCACACCCT-1", "iM.data_GACCTTCTCACTGAAC-1", "iM.data_TACTTCATCTGTAAGC-1", "iM.data_CTCCTCCCAGCTGTAT-1", "d05.data2_TTCTAGTGTAGTAAGT-1", "d05.data2_TCGACCTTCTCCTGTG-1", "d05.data2_CTGAGCGGTCATATGC-1", "d05.data2_CTCCGATCAGTGAGCA-1", "d05.data2_TGTCAGAGTCGTCGGT-1", "d05.data2_GATCATGTCGTGCAGC-1", "d05.data2_GTGGCGTGTGAGCGAT-1", "d05.data2_GTAATCGAGCGCCGTT-1", "d05.data2_TCGTGGGAGAGTCGAC-1", "d05.data2_GTCGTTCTCGCTTAAG-1", "d05.data2_CTCAAGACAGGCATGA-1", "d05.data2_TAACCAGGTCGTACTA-1", "d05.data2_TCGTGCTAGACCTTTG-1", "d05.data2_TTCTAACGTACCGTCG-1", "d05.data2_GTTAGTGTCTTCGACC-1", "d05.data2_AACAACCCAGAGTCAG-1", "d05.data2_TTCATTGAGCGTCAGA-1", "d05.data2_TATCCTAGTCGAGATG-1", "d05.data2_AAGAACACAATTGGTC-1", "d05.data2_ACCCTTGTCTGTCTCG-1", "d05.data2_CTCATGCTCAATCGGT-1", "d05.data2_TACCCGTAGGGCCCTT-1", "d05.data2_TCCGGGAGTTGAATCC-1", "d05.data2_TTGCGTCGTACAAAGT-1", "d05.data2_AGTCATGTCTAGGCCG-1", "d05.data2_TAGATCGTCAGGAACG-1", "d05.data2_CAGAGCCGTCGTTTCC-1", "d05.data2_GTAACACAGTCGAAAT-1", "d05.data2_TTGCATTTCCTCATAT-1", "d05.data2_GTTACAGGTGACCGTC-1", "d05.data2_AACCTGATCAAGTCGT-1", "d05.data2_AGAACAAGTATGGTAA-1", "d05.data2_CCTCTCCCAGTCGGAA-1", "d05.data2_GTGATGTAGAGTGGCT-1", "d05.data2_AGGTCATGTAGAATGT-1", "d05.data2_CGATCGGCAGTGGTGA-1", "d05.data2_ACAGCCGGTGTAGCAG-1", "d05.data2_GTCAAACCAAATCGTC-1", "d05.data2_ACATCGAAGATCGCTT-1", "d05.data2_AAAGGGCGTCGTTGGC-1", "d05.data2_GGGTGTCAGGAGATAG-1", "d05.data2_CTGGCAGTCCGTTGAA-1", "d05.data2_GTGACGCAGCACGGAT-1", "d05.data2_TCGGGACGTGTACGCC-1", "d05.data2_CGAAGGACATGACTAC-1", "d05.data2_TCTGCCAAGCGCCTTG-1", "d05.data2_CGTGTCTCAGGTGTTT-1", "d05.data2_GGAGGATTCGGCTGAC-1", "d05.data2_ACAGGGAGTCGGTGTC-1", "d05.data2_GAACTGTCAGAACTAA-1", "d05.data2_ATTTCTGCATCCGGCA-1", "d05.data2_TCGAACATCAGACCGC-1", "d05.data2_GTGTTAGGTGGATCAG-1", "d05.data2_TGATCTTGTTTACTGG-1", "d05.data2_TCGGGCATCAGCGTCG-1", "d05.data2_ATTTCTGCATTATGCG-1", "d05.data2_TCATCCGAGTGCGTCC-1", "d05.data2_CGTGTCTTCACTTCTA-1", "d05.data2_GTCACTCCACTTTAGG-1", "d05.data2_TCGCAGGGTTGGGTAG-1", "d05.data2_CAAGCTATCGTAGTCA-1", "d05.data2_GTGTTAGTCGGCCAAC-1", "d05.data2_TTCGATTTCTTCGGAA-1", "d05.data2_AGACACTGTCTAGATC-1", "d05.data2_CGTGCTTCAAGAGTTA-1", "d05.data2_GTGAGTTAGTGTTCAC-1", "d05.data2_TCGACCTCAAAGAGTT-1", "d05.data2_CAGTTAGTCGGCTGTG-1", "d05.data2_TATTTCGAGATGGGCT-1", "d05.data2_GGGTTATAGGAAAGAC-1", "d05.data2_TCGTGGGGTAACACCT-1", "d05.data2_TATCTTGCACGTCGGT-1", "d05.data2_GTTACGAAGGGAGTGG-1", "d05.data2_GTCGCGAAGAGAATCT-1", "d05.data2_GTTACGAGTGATTGGG-1", "d05.data2_TCAAGCAGTAGCGTAG-1", "d05.data2_CGTGCTTCAGCTCATA-1", "d05.data2_CTATCTAGTGAATTAG-1", "d05.data2_ATGATCGGTCTGGTTA-1", "d05.data2_AGGTCATAGTATTCCG-1", "d05.data2_GTACAACAGCAAATCA-1", "d05.data2_GTCTACCTCAAGTCGT-1", "d05.data2_CATCGGGGTCAGTTTG-1", "d05.data2_AAAGGATCATGACGAG-1", "d05.data2_TCTATACGTTTAGAGA-1", "d05.data2_CTCCGATAGCCTGAAG-1", "d05.data2_TCGTAGATCAATCTTC-1", "d05.data2_GTAAGTCCAATCGAAA-1", "d05.data2_CTCTCGAGTCGCATCG-1", "d05.data2_CCGGGTAGTGATTAGA-1", "d05.data2_AGGGTCCCACAATGAA-1", "d05.data2_GATCATGTCACCTCAC-1", "d05.data2_GGGAGATAGAGCAGTC-1", "d05.data2_GTGGCGTCATATACCG-1", "d05.data2_TTAGGGTTCGGCATAT-1", "d05.data2_CAAGAGGTCATGCCAA-1", "d05.data2_TTAGTCTGTGACTAAA-1", "d05.data2_CCCATTGGTTCAAGTC-1", "d05.data2_GCTGGGTGTACGGCAA-1", "d05.data2_GAAATGAGTACAATAG-1", "d05.data2_CCCGGAATCTCTGACC-1", "d05.data2_AGTTAGCGTCGCAACC-1", "d05.data2_CGTTGGGGTGACGCCT-1", "d05.data2_CATCGGGGTTCGAACT-1", "d05.data2_TCGGGCAAGGGCAGAG-1", "d05.data2_CTGCAGGGTATGGAGC-1", "d05.data2_GTGTAACTCCGTAGGC-1", "d05.data2_CACAGGCTCGGCTCTT-1", "d05.data2_AGAGAGCTCTGCGTCT-1", "d05.data2_TACCTCGAGTCTAGCT-1", "d05.data2_AGTGTTGGTATGCGGA-1", "d05.data2_TGGGAAGTCTCGCCTA-1", "d05.data2_GTAACACGTTGGGTAG-1", "d05.data2_GTGAGGAAGACTTCGT-1", "d05.data2_CTGGCAGAGGGCAACT-1", "d05.data2_ATTCATCGTGCATGAG-1", "d05.data2_TCGGGTGGTCCACATA-1", "d05.data2_TACTGCCGTCGTATTG-1", "d05.data2_AATGGCTAGGGTTGCA-1", "d05.data2_AGTACTGCAGAGCTAG-1", "d05.data2_CCGTGAGAGCCAGAGT-1", "d05.data2_GTTGAACCATCGTGCG-1", "d05.data2_AGGGTTTAGGAGAGTA-1", "d05.data2_GGTGAAGAGTTGGGAC-1", "d05.data2_TGGAGAGTCGAGAAAT-1", "d05.data2_GGGTGTCCAGTAGAAT-1", "d05.data2_TGGGAAGTCCATCCGT-1", "d05.data2_TACGTCCGTGTGCCTG-1", "d05.data2_TCGACGGAGACAAGCC-1", "d05.data2_TGACGCGAGAGGCTGT-1", "d05.data2_CAGTTAGGTTCGGCGT-1", "d05.data2_ATTCAGGCAAGAATAC-1", "d05.data2_ATTCCTAGTAGCGTTT-1", "d05.data2_CTTCAATGTGTGCTTA-1", "d05.data2_GGGATGAAGTGTACCT-1", "d05.data2_TTACCATTCGAGTGAG-1", "d05.data2_TCAGTCCGTAGCGAGT-1", "d05.data2_GAATAGATCGCGGACT-1", "d05.data2_CATGCGGCAGATGCGA-1", "d05.data2_GTTGTAGCACGTGTGC-1", "d05.data2_GGAAGTGCAGGTCCCA-1", "d05.data2_ATCCTATAGTCGAAAT-1", "d05.data2_GTATTGGTCTGCGAGC-1", "d05.data2_GTCTACCGTATTGCCA-1", "d05.data2_TGGGAGATCGCAACAT-1", "d05.data2_CTGTGAAAGATTGGGC-1", "d05.data2_CGGGTGTTCCGGTAGC-1", "d05.data2_CATTCATTCGCAATTG-1", "d05.data2_GTTACGAAGAGCTGAC-1", "d05.data2_CCACAAAAGTGCGTCC-1", "d05.data2_TGGTGATGTGGCGCTT-1", "d05.data2_TCGAAGTCAGATTAAG-1", "d05.data2_AGTACTGTCATTGAGC-1", "d05.data2_GTGGAAGGTGCCCGTA-1", "d05.data2_ACCTGAACACGTTCGG-1", "d05.data2_AGGGTGAGTTAAGTCC-1", "d05.data2_TGTCAGACAAGAGAGA-1", "d05.data2_GATTGGTAGCGTCAGA-1", "d05.data2_GTAATGCAGTCCTGTA-1", "d05.data2_CACAGATCAGGCACTC-1", "d05.data2_CACGTGGGTATCCCTC-1", "d05.data2_GGGCTACGTGACAGGT-1", "d05.data2_CAGCCAGAGGATACGC-1", "d05.data2_CTTCGGTTCACTAGCA-1", "d05.data2_AGAGCAGAGCTGTCCG-1", "d05.data2_ACTGCAAAGCTAATGA-1", "d05.data2_TTCTGTAGTATGTCCA-1", "d05.data2_CTTCCGAGTGTCCACG-1", "d05.data2_AGAGCCCTCTGCATAG-1", "d05.data2_AAAGGTAAGCAGTCTT-1", "d05.data2_ATTCTACAGAGGACTC-1", "d05.data2_AAGCATCCACTTGTGA-1", "d05.data2_GGAAGTGCAAGGAGTC-1", "d05.data2_ACTTCGCGTCTTCTAT-1", "d05.data2_TATACCTGTGCTGTCG-1", "d05.data2_CTGAATGGTCGCGTCA-1", "d05.data2_TGCTCGTGTCACCACG-1", "d05.data2_CCCTCAATCTTCGATT-1", "d05.data2_TGTAGACAGGCTTTCA-1", "d05.data2_ATGGGTTGTGTCCGGT-1", "d05.data2_CGGGTCATCTTGGATG-1", "d05.data2_ACGATCATCGTCGCTT-1", "d05.data2_GGGACCTAGTAGGATT-1", "d05.data2_GATAGCTAGGGTAGCT-1", "d05.data2_TGGTTAGGTTAGTTCG-1", "d05.data2_TGCGACGAGGATAATC-1", "d05.data2_AGCCACGTCGTAGTGT-1", "d05.data2_GGTCACGCAACCGTGC-1", "d05.data2_CTCAACCGTTCGTACA-1", "d05.data2_CTGTAGAGTCTAACTG-1", "d05.data2_GAGTTGTGTCAGACGA-1", "d05.data2_GAGTGAGCACGCCAGT-1", "d05.data2_AGAAGTAAGAGCATAT-1", "d05.data2_TTGGATGTCGGATTAC-1", "d05.data2_TGGAGAGTCAGACTGT-1", "d05.data2_CATGCTCAGAGCCGTA-1", "d05.data2_CATACAGGTTACAGCT-1", "d05.data2_GAATCGTGTGTCTTGA-1", "d05.data2_TAGAGTCCAGAGAATT-1", "d05.data2_ACTTATCAGACTGAGC-1", "d05.data2_TCGGGACGTCGCATTA-1", "d05.data2_TAGGGTTAGACGCTCC-1", "d05.data2_GTAGATCAGGAAAGGT-1", "d05.data2_GATGTTGAGAGCATCG-1", "d05.data2_ACCCAAAAGTGTGTTC-1", "d05.data2_CAGTTCCCACGAAGAC-1", "d05.data2_GCGATCGGTATGTGTC-1", "d05.data2_GAACTGTAGCGTTCCG-1", "d05.data2_AGCATCACAGGAATAT-1", "d05.data2_CAACGATGTCGTCGGT-1", "d05.data2_GGCAGTCTCAGAGTTC-1", "d05.data2_TTACCGCGTGAGCCAA-1", "d05.data2_TGGGATTCAACCCTAA-1", "d05.data2_TTGGATGTCGTGGTAT-1", "d05.data2_GTTTGGACAATGAGCG-1", "d05.data2_AGGAATATCAAGATAG-1", "d05.data2_AAATGGAAGTGCTCAT-1", "d05.data2_ATCCGTCAGTTCCGTA-1", "d05.data2_ACTATTCCACTAGAGG-1", "d05.data2_GATAGCTAGTACGAGC-1", "d05.data2_CTACGGGGTCGTACTA-1", "d05.data2_TCTTAGTGTACAGGTG-1", "d05.data2_TCATGGATCGGCTTCT-1", "d05.data2_CAATGACGTCTGTCAA-1", "d05.data2_ACGGGTCGTCCTGGTG-1", "d05.data2_CCTATCGGTAGCACAG-1", "d05.data2_TAGGGTTAGCTGCCTG-1", "d05.data2_GTGAGGAGTAGATGTA-1", "d05.data2_TCCATCGGTTCTAACG-1", "d05.data2_ATCATTCAGTACGAGC-1", "d05.data2_ACGTAGTGTATCGCTA-1", "d05.data2_AGAGAATTCGGACAAG-1", "d05.data2_GTTAGTGCAACGTTAC-1", "d05.data2_AACAAAGAGCACTCAT-1", "d05.data2_GGTGGCTAGGAGCTGT-1", "d05.data2_TGGAGAGCAAGGTCGA-1", "d05.data2_CAGCAATTCCCATTTA-1", "d05.data2_ATCGTGATCTGCTAGA-1", "d05.data2_AGTTCGAGTAGGCTCC-1", "d05.data2_CTGTGGGTCATGCCAA-1", "d05.data2_AGAAATGAGAATTGTG-1", "d05.data2_GACCCAGTCGTTGTTT-1", "d05.data2_CATGGTAAGGGTTAAT-1", "d05.data2_GGGTAGAGTTCTTGTT-1", "d05.data2_GTTGCGGCATGGAGAC-1", "d05.data2_CTATCCGAGAATTCAG-1", "d05.data2_GGTAGAGTCCGAGGCT-1", "d05.data2_TGTTCATTCACTTGTT-1", "d05.data2_CAAGAGGTCCGTGACG-1", "d05.data2_GTGCTTCCAAGATGTA-1", "d05.data2_TGACAGTTCTCATAGG-1", "d05.data2_TCCATCGGTGAGACGT-1", "d05.data2_GGGACTCGTAATGTGA-1", "d05.data2_GTTTGGAAGATGTTAG-1", "d05.data2_TTCTTCCCATCGTCCT-1", "d05.data2_TCGTCCAGTACCCAGC-1", "d05.data2_CATGAGTAGTCTTCGA-1", "d05.data2_TAAGCCAGTCGCGTTG-1", "d05.data2_AGCTTCCCAGACTGCC-1", "d05.data2_GGTGATTCAAAGGATT-1", "d05.data2_TTCTTGAGTGTGTCCG-1", "d05.data2_ATGAGGGTCCGTACGG-1", "d05.data2_TAGGGTTTCAAGAGGC-1", "d05.data2_TCCGGGACAAGAGATT-1", "d05.data2_CCTATCGAGGCCTAGA-1", "d05.data2_CCGTTCATCATGCGGC-1", "d05.data2_CAATGACGTGATGAAT-1", "d05.data2_TCAGGTAGTCCTCATC-1", "d05.data2_ATGCCTCGTGGAGGTT-1", "d05.data2_CTCAGGGGTCACGACC-1", "d05.data2_AGAGAGCCATGGAGAC-1", "d05.data2_AGATGCTAGCTGCCAC-1", "d05.data2_CAGGTATTCTAGTACG-1", "d05.data2_AGTAGTCAGAATCGAT-1", "d05.data2_TATTGGGTCACCTGGG-1", "d05.data2_TACAACGAGCCTGAGA-1", "d05.data2_CTGTCGTCAACACGTT-1", "d05.data2_GGGTCTGGTGTGTGGA-1", "d05.data2_GATCACACAGTTAGGG-1", "d05.data2_CGCCAGATCGTCCTTG-1", "d05.data2_TAATTCCGTGGATCAG-1", "d05.data2_CATAAGCAGCGAACTG-1", "d05.data2_TTGCCTGTCGATAACC-1", "d05.data2_CTGAATGGTAAGATTG-1", "d05.data2_TTTGACTCATCGCCTT-1", "d05.data2_ATTTACCAGTTGAATG-1", "d05.data2_GTCATGAAGCATGTTC-1", "d05.data2_CTGTGAATCCACAGCG-1", "d05.data2_GAAATGAGTCGAGCAA-1", "d05.data2_GGTAATCCAATCGTCA-1", "d05.data2_ATAGAGAAGATCCCAT-1", "d05.data2_TAAGCGTCATTCTTCA-1", "d05.data2_GTGTTCCGTGTCTTGA-1", "d05.data2_TGTTTGTTCTCGCTCA-1", "d05.data2_CCCATTGCAAATGGTA-1", "d05.data2_AGTAGTCTCCTATTGT-1", "d05.data2_TGTAACGGTTCGAGCC-1", "d05.data2_AACCTTTAGTACCCTA-1", "d05.data2_GCCAGTGGTAATTAGG-1", "d05.data2_AGGGTTTCAGACCAAG-1", "d05.data2_CGTTGGGGTTTACCTT-1", "d05.data2_ACAACCATCGGATACT-1", "d05.data2_CGAAGTTTCGCCAGAC-1", "d05.data2_AATGACCGTCTGCCTT-1", "d05.data2_TAGGGTTTCGGCTATA-1", "d05.data2_CATACTTTCGCTGTCT-1", "d05.data2_TCATTACTCTGGGAGA-1", "d05.data2_GATAGAATCCCAAGTA-1", "d05.data2_CAGCGTGGTCTGATCA-1", "d05.data2_GGCTTGGTCAGGGTAG-1", "d05.data2_TCTTGCGGTAGTTAGA-1", "d05.data2_ATTCACTCATCATGAC-1", "d05.data2_CAATACGAGAGCAAGA-1", "d05.data2_TGACTCCCAGGAGGTT-1", "d05.data2_GGTGGCTGTCGAACAG-1", "d05.data2_CGGAACCCAGGAAGTC-1", "d05.data2_AGAAATGAGGACTATA-1", "d05.data2_GCACATAGTGGCTAGA-1", "d05.data2_TGTGAGTCAATACAGA-1", "d05.data2_GATTCGAGTCTTACTT-1", "d05.data2_GGGTATTCAGAGTCTT-1", "d05.data2_TTACCATAGGGTTAGC-1", "d05.data2_TGTTTGTGTTACGCCG-1", "d05.data2_ATTCTACGTCAGCGTC-1", "d05.data2_CCTCATGTCGTTGTGA-1", "d05.data2_CGCGTGATCGTAGAGG-1", "d05.data2_TACCCGTTCGTCGGGT-1", "d05.data2_TCAATTCTCAAATAGG-1", "d05.data2_AATCGTGCATCGAACT-1", "d05.data2_CCTTGTGCAGTATTCG-1", "d05.data2_CGTTGGGAGAACTTCC-1", "d05.data2_CCTGTTGCAGCACACC-1", "d05.data2_CAGTGCGGTCCAGTTA-1", "d05.data2_GAGTCTAGTAGATCCT-1", "d05.data2_CATAAGCTCGTAGGGA-1", "d05.data2_CACAGGCTCGTGGGTC-1", "d05.data2_GAATCGTTCAAGGCTT-1", "d05.data2_CCTACGTCAATACGCT-1", "d05.data2_AAATGGAAGGGTGAAA-1", "d05.data2_CCTATCGGTTTCACAG-1", "d05.data2_TTCATTGAGGTCACAG-1", "d05.data2_GTTGTGAAGACTTCCA-1", "d05.data2_GGTTGTATCGTGGAAG-1", "d05.data2_CTGGCAGGTACGATCT-1", "d05.data2_CGTCCATGTTCGATTG-1", "d05.data2_ATTATCCTCGTTAGAC-1", "d05.data2_CGGAGAAAGGTAGATT-1", "d05.data2_TCGCTTGAGACCCGCT-1", "d05.data2_AGCGTATTCGGATAAA-1", "d05.data2_TCGTAGACAGAAGCGT-1", "d05.data2_AGGAATAGTGAGACCA-1", "d05.data2_GTAGGAGTCACTGGGC-1", "d05.data2_CTCATGCAGGTTGGAC-1", "d05.data2_AACGGGAAGTCATACC-1", "d05.data2_CATAGACGTGATGTAA-1", "d05.data2_ACATCCCTCTCTTCAA-1", "d05.data2_TGCTTCGAGCTCGACC-1", "d05.data2_GAGACTTGTGGTCCGT-1", "d05.data2_AGGTAGGTCTTGCAGA-1", "d05.data2_CTTTCAATCAGGGATG-1", "d05.data2_TGATGGTCAGCGATTT-1", "d05.data2_AGTCAACAGACTTAAG-1", "d05.data2_TTCTTGAAGAGGCGTT-1", "d05.data2_GTCATGATCGAAGAAT-1", "d05.data2_CGAGTTAGTACTCGAT-1", "d05.data2_AGATGCTTCATTTGTC-1", "d05.data2_AAGTGAATCTAAGAAG-1", "d05.data2_GGCGTCAGTCGTACAT-1", "d05.data2_TCCACGTCAGTCGCTG-1", "d05.data2_TTGTTGTGTCGTGGTC-1", "d05.data2_CCGATCTCATGGGATG-1", "d05.data2_GGAGCAAGTTACGATC-1", "d05.data2_CTTGATTCATGAGTAA-1", "d05.data2_GATTGGTAGGTGATCG-1", "d05.data2_AGTAACCGTCGATGCC-1", "d05.data2_TACGGGCGTTGGTGTT-1", "d05.data2_TTGTGGAGTGCAAGAC-1", "d05.data2_CATCGCTAGCGACAGT-1", "d05.data2_CTATCTAGTAGACAGC-1", "d05.data2_GTGTGGCGTTCAAACC-1", "d05.data2_TCTTGCGTCCCGAGAC-1", "d05.data2_CTCGAGGGTAGGGAGG-1", "d05.data2_ACGGAAGTCGCCGATG-1", "d05.data2_GCTGAATAGAACAGGA-1", "d05.data2_CGTAATGCAGGCACAA-1", "d05.data2_TGTGAGTCACAGGATG-1", "d05.data2_TTCGGTCAGACTGTTC-1", "d05.data2_TCAGGGCTCCCTGTTG-1", "d05.data2_GTGGAGACAGCGCGTT-1", "d05.data2_GCTCAAAGTCTATGAC-1", "d05.data2_GTCGTAACATTGCTGA-1", "d05.data2_TATCTGTCACTAGGTT-1", "d05.data2_GGAGGATTCTACACAG-1", "d05.data2_GCTTTCGGTATAGGAT-1", "d05.data2_TGGCGTGAGGAGTCTG-1", "d05.data2_TCGGGTGTCCGAAATC-1", "d05.data2_GTTGCTCTCCCAGGCA-1", "d05.data2_TATGTTCAGTGATGGC-1", "d05.data2_GACCAATAGCGGCTCT-1", "d05.data2_GTGTGATGTGCGAACA-1", "d05.data2_GATCCCTAGAGTCGAC-1", "d05.data2_CTCATCGCAAGAGTGC-1", "d05.data2_CCTCACATCGTTGTAG-1", "d05.data2_TGTGTGAAGCGTTCCG-1", "d05.data2_AGCCACGGTCGCTGCA-1", "d05.data2_TAGACCAAGTATGGCG-1", "d05.data2_TGGAACTAGGCGTCCT-1", "d05.data2_GGTCACGGTAAGATTG-1", "d05.data2_CCTATCGCATCTCAAG-1", "d05.data2_CAAGCTAGTGCTCTTC-1", "d05.data2_TTGCTGCAGGCTAGCA-1", "d05.data2_TGGGTTATCCGAAATC-1", "d05.data2_ATGAGGGGTCGCGTTG-1", "d05.data2_AGTGACTAGCGGTATG-1", "d05.data2_GATGTTGAGGGTTAAT-1", "d05.data2_GACTGATCAGAGAAAG-1", "d05.data2_TGCGATAAGCTCGAAG-1", "d05.data2_TGACTCCCAGAGTTGG-1", "d05.data2_GGTTAACAGTTAGAAC-1", "d05.data2_ATGTCCCGTCCTGGTG-1", "d05.data2_AGGGTGAAGCGCCGTT-1", "d05.data2_TAGGTTGAGAGTCAGC-1", "d05.data2_TGAGGAGAGGGTGGGA-1", "d05.data2_TTCTGTATCAGGCGAA-1", "d05.data2_CATTCCGCACAGAGCA-1", "d05.data2_GAGTCATGTCTGTGGC-1", "d05.data2_ACTGTGATCCTACCAC-1", "d05.data2_TGTTTGTAGCAGTACG-1", "d05.data2_ATGGTTGTCAACACGT-1", "d05.data2_ATGGGTTTCATTTCCA-1", "d05.data2_AGGTTGTGTTACTCAG-1", "d05.data2_TAACTTCTCCGATGTA-1", "d05.data2_CAACCTCGTATCGTTG-1", "d05.data2_GTAAGTCAGTAGAATC-1", "d05.data2_AATGAAGTCCATTGCC-1", "d05.data2_AGTCATGCAGAGGAAA-1", "d05.data2_ATCAGGTAGCTGGTGA-1", "d05.data2_AGTTCCCAGCAACTCT-1", "d05.data2_TCCTAATTCAACGAGG-1", "d05.data2_TGCAGATCAGTCTTCC-1", "d05.data2_CCAATTTCACAACGAG-1", "d05.data2_ACACGCGGTGCCGAAA-1", "d05.data2_TTTCCTCAGGAAGAAC-1", "d05.data2_GCTACAAAGTGCACAG-1", "d05.data2_GAGGGTAGTCCACATA-1", "d05.data2_CTAACTTAGCTAAATG-1", "d05.data2_GAGTTTGCAGGTAGTG-1", "d05.data2_TCATACTAGTTGGACG-1", "d05.data2_TTCGATTAGAGTCAAT-1", "d05.data2_GCACTAAAGACCCGCT-1", "d05.data2_GGTGATTAGTAAGGGA-1", "d05.data2_AGAGAATTCGAGTCCG-1", "d05.data2_GGTTAACTCGTGTGAT-1", "d05.data2_CTGCGAGCACTGGCGT-1", "d05.data2_TCTCAGCCACTGGCCA-1", "d05.data2_ATCGTGAAGCGCACAA-1", "d05.data2_ATTCCCGCACAGTCGC-1", "d05.data2_GCCAGCAGTAGCGCTC-1", "d05.data2_TTTGGTTTCTGTAAGC-1", "d05.data2_TTGAGTGGTCACGTGC-1", "d05.data2_TCGCAGGTCTCAACCC-1", "d05.data2_CCTCACAGTTCGAGCC-1", "d05.data2_AGAGAGCTCGCCAGAC-1", "d05.data2_TCCAGAAAGGTCATAA-1", "d05.data2_ATTCTTGTCAAACTGC-1", "d05.data2_GTGAGGAAGAGTGTTA-1", "d05.data2_TGGAACTGTGAGCAGT-1", "d05.data2_TCGGGCACAAGAAATC-1", "d05.data2_TATTGGGCATACCATG-1", "d05.data2_TTTGTTGAGCCTGTCG-1", "d05.data2_CCAAGCGAGTACCATC-1", "d05.data2_GTCGTTCTCAAACCCA-1", "d05.data2_AACCCAAGTCGCAGTC-1", "d05.data2_GCTGGGTAGTAGCCAG-1", "d05.data2_TGGCGTGAGTGGCCTC-1", "d05.data2_TCTAACTGTACCTGTA-1", "d05.data2_CCCATTGTCGCAGAGA-1", "d05.data2_AGAAGTAAGTCATCGT-1", "d05.data2_GATCACATCGGCGATC-1", "d05.data2_TGTTTGTGTTCGGCCA-1", "d05.data2_GACCCAGTCTGGTTGA-1", "d05.data2_CGTAAGTTCACTGAAC-1", "d05.data2_CGTAATGGTCGGCTAC-1", "d05.data2_ACAGAAAAGGTAGGCT-1", "d05.data2_GCACGTGGTGACACGA-1", "d05.data2_ATCTCTAAGGGTTAAT-1", "d05.data2_ATATCCTAGGCCTTGC-1", "d05.data2_AGGAGGTAGTGTTCCA-1", "d05.data2_TCTGGCTCAACACGAG-1", "d05.data2_ACGTAACGTCTTGCTC-1", "d05.data2_AACAAAGAGTTCATCG-1", "d05.data2_ATCCCTGCAAAGCGTG-1", "d05.data2_TGAGGAGGTCCTACGG-1", "d05.data2_CCATAAGGTTGCATGT-1", "d05.data2_CTACCTGGTATCGGTT-1", "d05.data2_TTCCACGTCGACGAGA-1", "d05.data2_AGCGCTGAGCCACTCG-1", "d05.data2_GTGCACGAGACGTCCC-1", "d05.data2_CGAGGAATCACTTGGA-1", "d05.data2_CATCAAGAGTAATTGG-1", "d05.data2_ACGTCCTCAGCTTTCC-1", "d05.data2_GAAATGACAGCCTATA-1", "d05.data2_TTGCTGCGTGGGCTCT-1", "d05.data2_AACAAGACATAAGCAA-1", "d05.data2_ATGAGTCAGTGACACG-1", "d05.data2_TACCTGCGTTGAGGAC-1", "d05.data2_CTTACCGAGTAGCCAG-1", "d05.data2_TAGACCATCCGTGGGT-1", "d05.data2_TTTCGATTCGGAGTGA-1", "d05.data2_AGAGCCCGTATCTCTT-1", "d05.data2_TCGGGCATCGCAAGAG-1", "d05.data2_CCGAACGTCATTACGG-1", "d05.data2_GTGACGCAGTCATACC-1", "d05.data2_TTACTGTTCGCGCTGA-1", "d05.data2_TGTAACGAGGGATCAC-1", "d05.data2_CTTACCGGTCGACTTA-1", "d05.data2_GGAATGGCATGAAGCG-1", "d05.data2_CTTCGGTCAGTAGTGG-1", "d05.data2_AACAAGACAAGAATAC-1", "d05.data2_AGAAATGGTTGTGCAT-1", "d05.data2_TACATTCAGCGAGTAC-1", "d05.data2_TATCTGTGTCCAGCGT-1", "d05.data2_TCGGGTGCATAACCCA-1", "d05.data2_GTTCTATGTGGATACG-1", "d05.data2_TGGGATTTCGCCGAGT-1", "d05.data2_GCTTGGGCATACCATG-1", "d05.data2_TCGGTCTCAAATGATG-1", "d05.data2_TGAGGAGAGGCGAACT-1", "d05.data2_TATCTTGCAGAGTGAC-1", "d05.data2_AGCTACAGTAGGTACG-1", "d05.data2_GTTGCGGAGACATACA-1", "d05.data2_TGGGCGTGTTCTTGCC-1", "d05.data2_AGGTAGGGTAGCACGA-1", "d05.data2_TAAGCCACACACGCCA-1", "d05.data2_GACCAATCATAGGTTC-1", "d05.data2_TTTGGTTGTCGCATCG-1", "d05.data2_CTTGAGAGTCGAGATG-1", "d05.data2_AGTAGTCTCTGTCCGT-1", "d05.data2_ACCTGAACAGCGACCT-1", "d05.data2_GCATGATGTTCCGCGA-1", "d05.data2_CACGTGGAGAGGGTAA-1", "d05.data2_GTCGTTCCAACGTATC-1", "d05.data2_ACTTTGTCACCAAAGG-1", "d05.data2_CTATCCGAGGCATGCA-1", "d05.data2_GCCATGGGTGAATTGA-1", "d05.data2_CACTAAGTCTCTCTTC-1", "d05.data2_GGTTGTACAAAGCTCT-1", "d05.data2_AACCAACTCTCGGTAA-1", "d05.data2_AGGTTGTTCGCGCTGA-1", "d05.data2_GTTACCCGTAATGTGA-1", "d05.data2_CTCAATTCAACGACAG-1", "d05.data2_TCAGTTTTCGGACGTC-1", "d05.data2_CGGTCAGTCAGCTTCC-1", "d05.data2_ACGATCAAGATGCAGC-1", "d05.data2_ATGCGATGTCTCTCCA-1", "d05.data2_TGTGGCGAGGTAATCA-1", "d05.data2_TGCAGGCGTTCTGACA-1", "d05.data2_AGTTCGACAGGTTCAT-1", "d05.data2_GATGGAGTCTTCGTAT-1", "d05.data2_GGAATGGCATTGTCGA-1", "d05.data2_AGGGCCTCAACCAATC-1", "d05.data2_TATACCTGTTGGCCGT-1", "d05.data2_AAGTTCGGTGCACATT-1", "d05.data2_TTCGCTGGTAGTCGTT-1", "d05.data2_ATTCGTTGTGTCCACG-1", "d05.data2_ATCGTGAGTTATTCTC-1", "d05.data2_ACGCACGAGTCACAGG-1", "d05.data2_ACAGGGACATTGTCGA-1", "d05.data2_CGACAGCTCCGCTAGG-1", "d05.data2_AGGTAGGGTGACAGCA-1", "d05.data2_TGACGCGCAGCGTAGA-1", "d05.data2_ACATTTCGTTTGAACC-1", "d05.data2_ACGATCAAGTTCCGGC-1", "d05.data2_TTGTTCACACGCGGTT-1", "d05.data2_TAGACTGAGACCAACG-1", "d05.data2_CCTGCATAGGTCTGGA-1", "d05.data2_GTGGCGTGTGCGGCTT-1", "d05.data2_AATCACGCATTCCTCG-1", "d05.data2_TTGTTTGTCTGTTGGA-1", "d05.data2_ATGGTTGAGCATCAAA-1", "d05.data2_CAGGTATGTCTGTGCG-1", "d05.data2_TCCTTTCTCACATTGG-1", "d05.data2_TACGCTCCACTTACAG-1", "d05.data2_AAAGGTAAGACAACAT-1", "d05.data2_ACTGCAATCGATACAC-1", "d05.data2_GTTACGACATGCACTA-1", "d05.data2_CCTACGTAGCGGATCA-1", "d05.data2_GGCAGTCAGTCTTCCC-1", "d05.data2_ACTATTCGTGCGTTTA-1", "d05.data2_TGCGACGAGACCTTTG-1", "d05.data2_CCTCACAAGGAAACGA-1", "d05.data2_TACCTCGGTGGAGGTT-1", "d05.data2_TCAGTTTGTTGGGACA-1", "d05.data2_AATGAAGAGAGTGTTA-1", "d05.data2_AGTTAGCCAAAGACTA-1", "d05.data2_CTGATCCTCGAAGCAG-1", "d05.data2_TGATCTTGTACGTGAG-1", "d05.data2_GTCATCCCATCGAAGG-1", "d05.data2_GGTAACTCAGGACATG-1", "d05.data2_TTCTTGATCTTCGACC-1", "d05.data2_GTTGCGGAGCTCCACG-1", "d05.data2_GAGTCTAGTCGTTGCG-1", "d05.data2_TGCAGTAGTATATGGA-1", "d05.data2_ACTCTCGAGATTGTGA-1", "d05.data2_TCAGTTTAGCTGACCC-1", "d05.data2_ACCTGAAAGGCCTTCG-1", "d05.data2_CACATGATCACTGGTA-1", "d05.data2_TACCGAAAGAATAGTC-1", "d05.data2_GCTGAATCAGCTGGTC-1", "d05.data2_CATTGAGTCACTTCTA-1", "d05.data2_TCAGCAAAGCTGTGCC-1", "d05.data2_AGCTCAATCAGCCCAG-1", "d05.data2_CAACAGTGTCCTGGGT-1", "d05.data2_GAAGGGTGTCCCTCAT-1", "d05.data2_GCTGGGTGTCGTCATA-1", "d05.data2_TCTTCCTTCTGTGCGG-1", "d05.data2_CCACGTTGTTGGTGTT-1", "d05.data2_CCGTAGGCAGTGTGGA-1", "d05.data2_TGGTAGTTCCCTCGTA-1", "d05.data2_AGGAATAAGCTATCTG-1", "d05.data2_ATTCTTGGTGGTCTAT-1", "d05.data2_GATCCCTGTGAAGCTG-1", "d05.data2_TGCGGCATCTTCGTGC-1", "d05.data2_GAGTTGTTCGAGATGG-1", "d05.data2_CGAGGCTGTGAGCCAA-1", "d05.data2_GATGTTGGTAAGGCTG-1", "d05.data2_CTCAACCAGGTACAGC-1", "d05.data2_CGAGTTAAGCCTCTGG-1", "d05.data2_CATGCAAGTTCGGGTC-1", "d05.data2_TGGCGTGGTTATGACC-1", "d05.data2_CTAGGTAGTATCGTAC-1", "d05.data2_TTCATTGTCGGATAAA-1", "d05.data2_ACAGAAATCCGATAAC-1", "d05.data2_GTAGTACAGCATGATA-1", "d05.data2_TGGGTTACATCGCTAA-1", "d05.data2_CCTCTAGGTGGATTTC-1", "d05.data2_TATTGGGGTCTAGGTT-1", "d05.data2_CGGGACTTCCGTGTCT-1", "d05.data2_CTGTGAAAGTGATGGC-1", "d05.data2_ACTTATCGTCACGTGC-1", "d05.data2_TCTCAGCGTAGCTAAA-1", "d05.data2_CACCAAAAGTTTGTCG-1", "d05.data2_AGCTTCCGTCAATGGG-1", "d05.data2_CATTGTTGTCACAGAG-1", "d05.data2_AGTTAGCTCTATGTGG-1", "d05.data2_ACTCCCACATCCTTCG-1", "d05.data2_ACGGGTCAGGCATCTT-1", "d05.data2_ACCTGAAGTGGACCAA-1", "d05.data2_CGAGAAGGTAGCTTGT-1", "d05.data2_CATTGCCAGGCCTAGA-1", "d05.data2_AATGGAAAGTAGGCCA-1", "d05.data2_TTTACCAAGGTGCAGT-1", "d05.data2_AGATCCATCTCGGTCT-1", "d05.data2_AGCCAGCGTAGTCCTA-1", "d05.data2_TGTCAGACATCCGGCA-1", "d05.data2_GGGATCCCAATGTCAC-1", "d05.data2_GCATCTCGTCTGTGCG-1", "d05.data2_GATGTTGCATATGCGT-1", "d05.data2_GACCTTCAGACTACCT-1", "d05.data2_TCCATCGAGTGGACTG-1", "d05.data2_ATGAGGGTCGAACTCA-1", "d05.data2_TAAGCCAAGACTACGG-1", "d05.data2_TGTGCGGAGTAAATGC-1", "d05.data2_GTCGCGATCCATAGGT-1", "d05.data2_CTGGTCTGTACTCCGG-1", "d05.data2_AGTAACCGTTTGCAGT-1", "d05.data2_AACCTTTCATGCACTA-1", "d05.data2_GAGGGATTCTGCGATA-1", "d05.data2_GTCCACTTCCGTATGA-1", "d05.data2_GGTGTCGCATATACCG-1", "d05.data2_GTTCATTTCAATGTCG-1", "d05.data2_GACCGTGTCTTTGGAG-1", "d05.data2_AGGATAAGTCGATGCC-1", "d05.data2_ACATGCAGTGAGACCA-1", "d05.data2_CGGGTCAGTTGGATCT-1", "d05.data2_TTTCGATGTCAGTCGC-1", "d05.data2_CACTAAGGTTCGTAAC-1", "d05.data2_CGGACACGTTATGACC-1", "d05.data2_TGTAAGCCACAATTCG-1", "d05.data2_GTTAGTGTCTTGGTGA-1", "d05.data2_TTGGTTTTCGAATGCT-1", "d05.data2_CCACCATCATCTGCGG-1", "d05.data2_CAGTTCCCAAATGGAT-1", "d05.data2_GGCTTTCCATATCGGT-1", "d05.data2_TCTGGCTGTAAGCAAT-1", "d05.data2_CTCTCAGTCGGTCACG-1", "d05.data2_GGGACAAAGGTGGTTG-1", "d05.data2_GGAGATGCATCCGTTC-1", "d05.data2_TGCGATACATGTGGTT-1", "d05.data2_CCTCATGGTCCTACGG-1", "d05.data2_GTCATCCGTGTAACGG-1", "d05.data2_AGTGTTGAGAAACTAC-1", "d05.data2_TCAGTTTGTCTGTCCT-1", "d05.data2_CACGTTCGTGTCTTCC-1", "d05.data2_GCAACCGTCGGATTAC-1", "d05.data2_GACAGCCCACGTCATA-1", "d05.data2_TCCCAGTAGGTGCTAG-1", "d05.data2_TTACGTTAGATGGCGT-1", "d05.data2_AGAAATGGTTGTGCCG-1", "d05.data2_CACGTTCAGTCCCGGT-1", "d05.data2_AGGGTCCAGCGACAGT-1", "d05.data2_CATCCGTAGATCGACG-1", "d05.data2_ATGGGAGCAGCCCAGT-1", "d05.data2_TTCATTGGTGAGGATC-1", "d05.data2_TACCTGCCATCACAGT-1", "d05.data2_TGACCCTGTTTACTGG-1", "d05.data2_CGTTGGGGTTCTCAGA-1", "d05.data2_CGAGGAAGTAGTCCTA-1", "d05.data2_CCAATGACACACAGAG-1", "d05.data2_TCAAGTGCAAGGGCAT-1", "d05.data2_GCACATACAACCGCCA-1", "d05.data2_AGTGCCGGTGTCGATT-1", "d05.data2_TCCTTCTTCACCCATC-1", "d05.data2_ATACCTTAGCTGCCTG-1", "d05.data2_TATTTCGTCCACGGGT-1", "d05.data2_ACATTTCCACATACTG-1", "d05.data2_TCGACGGCAGAGAATT-1", "d05.data2_GGGTTTAAGCGTGCCT-1", "d05.data2_TTGTTTGAGAAAGCGA-1", "d05.data2_AGCGCTGCAAGACCGA-1", "d05.data2_TCATTACAGAGTGAAG-1", "d05.data2_CTGAATGTCTCCATAT-1", "d05.data2_TGTTTGTCATTGTCGA-1", "d05.data2_GGGTCTGCAGAGGTTG-1", "d05.data2_GTAAGTCCAAGTTTGC-1", "d05.data2_TTAGGGTAGGCCCAAA-1", "d05.data2_GAGTTACAGTGCAACG-1", "d05.data2_CATAGACCAGAGTAAT-1", "d05.data2_GTTAGACAGATAGTCA-1", "d05.data2_CTGCAGGCAATTGTGC-1", "d05.data2_CACAGATGTTGCACGC-1", "d05.data2_GCTGAATAGTGGAATT-1", "d05.data2_TTTCACACAATCTGCA-1", "d05.data2_TCGCTTGGTAACATAG-1", "d05.data2_GAGTTACTCGGCTATA-1", "d05.data2_CTTGATTCAGAGTCAG-1", "d05.data2_ATGCATGCATATGCGT-1", "d05.data2_GATAGCTAGCTCTTCC-1", "d05.data2_ACATCCCTCAGCTAGT-1", "d05.data2_GCATTAGAGCCGAATG-1", "d05.data2_CACTGTCGTACTGGGA-1", "d05.data2_CTCCAACGTCTTGCTC-1", "d05.data2_CCCTGATTCACCGCTT-1", "d05.data2_TTTGATCGTGCCAAGA-1", "d05.data2_ATTCCATGTGAGCGAT-1", "d05.data2_GTTTACTGTTGTCTAG-1", "d05.data2_CCATCACGTATAATGG-1", "d05.data2_GAGTCTAGTAAGATCA-1", "d05.data2_TCGTCCAAGGCTGGAT-1", "d05.data2_CTGGCAGGTCGCACAC-1", "d05.data2_TTGTTGTCAGTCGTTA-1", "d05.data2_GACGCTGTCTGCCTGT-1", "d05.data2_GAGGGATCAGTCAACT-1", "d05.data2_GCACGTGCAGCCGTTG-1", "d05.data2_CCACTTGTCCAACTAG-1", "d05.data2_GTTCGCTGTTCGAGCC-1", "d05.data2_AACGTCAGTCTAACTG-1", "d05.data2_CTGGTCTGTTGCCTAA-1", "d05.data2_CATTCCGCAATCGAAA-1", "d05.data2_GATTTCTGTCCGGTCA-1", "d05.data2_GCATTAGGTCACAATC-1", "d05.data2_GTCATGAAGAGAATCT-1", "d05.data2_CGAGTTATCTGCGGGT-1", "d05.data2_AGCGTATCAGGTATGG-1", "d05.data2_TAACACGCATCGCTAA-1", "d05.data2_TTGTTCAGTATACCCA-1", "d05.data2_TTTCAGTGTGCATCTA-1", "d05.data2_AGACTCAAGCCATCCG-1", "d05.data2_TTCTCTCTCTTCCCGA-1", "d05.data2_CTCTGGTTCGTAGTCA-1", "d05.data2_ATACCGACAGGGATAC-1", "d05.data2_GCATGATAGATGTAGT-1", "d05.data2_TGCAGATCAATCTAGC-1", "d05.data2_GTTAGTGCACTCAGAT-1", "d05.data2_GGTAGAGAGCCATTTG-1", "d05.data2_TTCTAACTCCGTGACG-1", "d05.data2_CTGCATCCACGTCATA-1", "d05.data2_TGATCAGCACCCAACG-1", "d05.data2_ATCTCTATCCATATGG-1", "d05.data2_AAATGGAGTAATCAGA-1", "d05.data2_TTGCTGCAGATCCGAG-1", "d05.data2_CCTCCAAGTGGCGTAA-1", "d05.data2_GGAATGGTCGGCTGGT-1", "d05.data2_GTCGCGAGTAGCACAG-1", "d05.data2_TACCGAATCATGCAGT-1", "d05.data2_TCCTTTCGTCCATCTC-1", "d05.data2_ATATCCTAGGCTTCCG-1", "d05.data2_GCAACATGTGCTCGTG-1", "d05.data2_CATGCTCTCTCCGAGG-1", "d05.data2_CTCATTAAGACCGTTT-1", "d05.data2_TTGTGGAAGGTAGATT-1", "d05.data2_CTTGATTTCGATACAC-1", "d05.data2_TCGCTTGAGTGCTCGC-1", "d05.data2_CTGTGGGAGCTGTTAC-1", "d05.data2_AGGGTCCCAGAGGAAA-1", "d05.data2_TCCTAATCACGCGTCA-1", "d05.data2_GATGTTGCAACAGATA-1", "d05.data2_CTTACCGCATGATCTG-1", "d05.data2_TACCTCGGTTGGGATG-1", "d05.data2_GTTGCTCTCGACCAAT-1", "d05.data2_TGTTACTTCATCCTGC-1", "d05.data2_CTTTCAATCGGACTGC-1", "d05.data2_TATTCCAAGATGAATC-1", "d05.data2_CCTAACCTCTCCAATT-1", "d05.data2_TGCATGAGTTGGCCTG-1", "d05.data2_AACCAACAGACCTGGA-1", "d05.data2_ATGGGTTGTACTCCGG-1", "d05.data2_CGCCATTCATGAAAGT-1", "d05.data2_TGTCCACAGTAGTGCG-1", "d05.data2_CATTGTTGTTCAGCGC-1", "d05.data2_CAGGGCTAGCGATGAC-1", "d05.data2_TCTAACTGTATATGGA-1", "d05.data2_CCCGGAACAGACCGCT-1", "d05.data2_TTCTCTCAGGTGAGCT-1", "d05.data2_TGCGGCAGTGTCATGT-1", "d05.data2_AATTCCTTCTATCCAT-1", "d05.data2_TGCATGAAGTGTTCAC-1", "d05.data2_TATATCCTCTCATGCC-1", "d05.data2_GTCAAACGTGTAAACA-1", "d05.data2_GATTCTTAGGCTCAAG-1", "d05.data2_CGCGTGATCAGTGTTG-1", "d05.data2_TACAACGCAGAGTCTT-1", "d05.data2_GACCGTGAGAAGCCTG-1", "d05.data2_CCGGACAAGTGCGCTC-1", "d05.data2_CGGGCATGTGATTAGA-1", "d05.data2_GTCATGATCGCCAGTG-1", "d05.data2_ACTGATGGTTGGAGGT-1", "d05.data2_TATTGGGGTTGCTCGG-1", "d05.data2_GCGTGCAAGTCAGCGA-1", "d05.data2_CACCAAACAGCAAGAC-1", "d05.data2_TTCACGCAGATTCGCT-1", "d05.data2_CGGGACTCACACTTAG-1", "d05.data2_GGGACCTGTCGAACGA-1", "d05.data2_CTTACCGCAGCCGGTT-1", "d05.data2_CCTATCGTCAGGGATG-1", "d05.data2_GCGAGAACAGTCGTTA-1", "d05.data2_GTGATGTGTTGGACCC-1", "d05.data2_TCCAGAACAGACTCTA-1", "d05.data2_CTTGAGAGTTCTTAGG-1", "d05.data2_TGTGGCGGTGCAGTGA-1", "d05.data2_TAATTCCCATCGAGCC-1", "d05.data2_AGTGATCGTATGAAAC-1", "d05.data2_GAGTGTTGTGTCCCTT-1", "d05.data2_TCGGATAGTCGTTGGC-1", "d05.data2_TCCACGTTCGGCATCG-1", "d05.data2_TGAATGCCAAAGGCTG-1", "d05.data2_ATCAGGTAGCGTGAAC-1", "d05.data2_CGAAGGAAGTTGAAAC-1", "d05.data2_CCACACTTCACAGTGT-1", "d05.data2_TACACCCTCATACAGC-1", "d05.data2_AGGGTCCCATGACGTT-1", "d05.data2_GGGTAGAAGGTTATAG-1", "d05.data2_GAACACTAGCACCGTC-1", "d05.data2_AGTAACCTCATTCGGA-1", "d05.data2_GATTGGTAGCAGTACG-1", "d05.data2_ATTACTCAGTTCTACG-1", "d05.data2_TCCCATGGTATTTCTC-1", "d05.data2_GCATCTCGTATTCCTT-1", "d05.data2_CCACGTTCAAGCGCTC-1", "d05.data2_TTCTCTCCATAATGCC-1", "d05.data2_TATCTGTCACAGTCAT-1", "d05.data2_CATGAGTAGACGCCAA-1", "d05.data2_GGTAGAGCACTCCTTG-1", "d05.data2_CTGTCGTTCTAGAGCT-1", "d05.data2_CTCAAGAGTAGATCCT-1", "d05.data2_GTATTGGTCATGAGGG-1", "d05.data2_ATTACTCGTACAATAG-1", "d05.data2_ACACTGAGTTGTACGT-1", "d05.data2_ATCGGATTCTGTTCAT-1", "d05.data2_TGTTACTAGCACTCCG-1", "d05.data2_TGTGGCGGTCAGATTC-1", "d05.data2_ATTACCTAGGTATCTC-1", "d05.data2_GGTCTGGTCAGGAGAC-1", "d05.data2_CCGTTCATCACTCGAA-1", "d05.data2_GACTCAATCTTGGGCG-1", "d05.data2_TGATTCTAGGCGACAT-1", "d05.data2_AACACACGTATACCCA-1", "d05.data2_CACGTGGGTTACGCCG-1", "d05.data2_CAATGACCACAAGCTT-1", "d05.data2_CCACAAAAGCATGGGT-1", "d05.data2_CTCCTTTTCAAAGCCT-1", "d05.data2_AAGTTCGGTGAGTCAG-1", "d05.data2_CTAACTTCAGTCAGCC-1", "d05.data2_TCCAGAACATTAGGAA-1", "d05.data2_TGTAACGAGCACTCGC-1", "d05.data2_ATCCACCCATAGGTTC-1", "d05.data2_CAATACGGTCATCGCG-1", "d05.data2_GACTGATAGGACAGCT-1", "d05.data2_CCAATGAAGCCGAATG-1", "d05.data2_GCGAGAAGTAGTGCGA-1", "d05.data2_GTTACGAGTTCCACAA-1", "d05.data2_CGAGTTACAGGTCCGT-1", "d05.data2_CAGAGCCGTAGCACAG-1", "d05.data2_CCTCTAGGTAGGGAGG-1", "d05.data2_CTGGACGGTCAGTCCG-1", "d05.data2_CTCCCTCTCCTTATGT-1", "d05.data2_ATGAGGGTCAGTGGGA-1", "d05.data2_GTCGAATTCCAATCCC-1", "d05.data2_ACGTTCCGTGAGCTCC-1", "d05.data2_AGTACCAAGATCCCAT-1", "d05.data2_TTACTGTCACCTGATA-1", "d05.data2_GATTTCTGTGTGATGG-1", "d05.data2_TCCACCACATCGGTTA-1", "d05.data2_CCACAAATCACTCTTA-1", "d05.data2_GTCTTTAGTTCTATCT-1", "d05.data2_ACTTCGCGTACGCTAT-1", "d05.data2_GTGGAGACACGTAGTT-1", "d05.data2_GCCAGCAAGTGCACTT-1", "d05.data2_ACCTGTCCAGGGATAC-1", "d05.data2_GTTAGACAGTAGGATT-1", "d05.data2_ACGGAAGGTAGGTGCA-1", "d05.data2_AACAGGGAGGACTATA-1", "d05.data2_TAGACTGCACCTTCGT-1", "d05.data2_AGGGCTCAGTCTGCGC-1", "d05.data2_TACTTGTTCCGATCTC-1", "d05.data2_TTTGACTGTATGGAAT-1", "d05.data2_ATAGGCTCAAGTCCCG-1", "d05.data2_TCTTGCGAGGCGAAGG-1", "d05.data2_TCCATGCAGTGCGACA-1", "d05.data2_ACCATTTCAGTTCCAA-1", "d05.data2_GGGTCTGGTCAGTTTG-1", "d05.data2_CTGTGGGTCTGCAGCG-1", "d05.data2_ACGATGTCAGCTCTGG-1", "d05.data2_TGTCCCACATGTACGT-1", "d05.data2_GCTGGGTAGACACACG-1", "d05.data2_ACTATCTGTGCTCCGA-1", "d05.data2_ATTCTTGCAAGTTGGG-1", "d05.data2_TTGCTGCTCGCAGAGA-1", "d05.data2_AGTCATGTCTTCGCTG-1", "d05.data2_CATTGCCTCGCCAATA-1", "d05.data2_CTCACTGGTTCGGCTG-1", "d05.data2_CCTGCATCATCCCGTT-1", "d05.data2_ATTCCCGAGTGACCTT-1", "d05.data2_AGATCCAGTTGCATTG-1", "d05.data2_TCATTCAGTGGAGGTT-1", "d05.data2_ATTACTCCATCCCGTT-1", "d05.data2_TACTTGTTCGTGCGAC-1", "d05.data2_GATCGTACATTGCTTT-1", "d05.data2_ACTGTCCGTTAACCTG-1", "d05.data2_GGCTGTGCAGCGTAGA-1", "d05.data2_TGGGAAGGTCGCGTCA-1", "d05.data2_AACCATGGTTACCTTT-1", "d05.data2_GCGGATCCAGGAGGTT-1", "d05.data2_AATAGAGTCATCCTAT-1", "d05.data2_ACAAGCTAGGAGGTTC-1", "d05.data2_TTGACCCTCATGGGAG-1", "d05.data2_CCATAAGAGGCATCGA-1", "d05.data2_GGCACGTAGTCAAGCG-1", "d05.data2_GCTACAACAGTCAGCC-1", "d05.data2_ACCCTTGGTGATAGAT-1", "d05.data2_GAAATGATCTCCACTG-1", "d05.data2_TGTTGGAAGAGTCACG-1", "d05.data2_GATAGCTTCTACGGGC-1", "d05.data2_CCTCACACAATAGTAG-1", "d05.data2_AAACGCTCAACGAGGT-1", "d05.data2_GGTTGTATCAACCTTT-1", "d05.data2_CAATGACCACGACGTC-1", "d05.data2_TGCTTGCGTCATATGC-1", "d05.data2_GTGTGGCTCGTTAGTG-1", "d05.data2_ATGGTTGAGTAGTCCT-1", "d05.data2_GATTGGTAGGTCTGGA-1", "d05.data2_AGGGCCTGTCCGGATC-1", "d05.data2_CTGTGGGAGCTCGTGC-1", "d05.data2_AGCGCCAAGGAGTCTG-1", "d05.data2_CAACGGCTCTTGTGCC-1", "d05.data2_TATGTTCGTGGCACTC-1", "d05.data2_GAGAGGTCACAAATGA-1", "d05.data2_TCGACCTTCCGTAATG-1", "d05.data2_AGACAGGCACTCATAG-1", "d05.data2_TAACTTCCAACGCCCA-1", "d05.data2_TGGGCTGAGGGCGAAG-1", "d05.data2_ATGGAGGCACGTGAGA-1", "d05.data2_AAACGAAGTGACACGA-1", "d05.data2_ATGGTTGCAACGGTAG-1", "d05.data2_TCCGATCCACAGTCCG-1", "d05.data2_TAGGAGGCACTTCATT-1", "d05.data2_TGCGACGAGTCTTCGA-1", "d05.data2_GTAAGTCAGCGACTGA-1", "d05.data2_AGATCGTAGCACCGAA-1", "d05.data2_TTGCGTCCAGCATGCC-1", "d05.data2_TTGCGTCTCCGTTGAA-1", "d05.data2_TCATTTGCAGTCGCTG-1", "d05.data2_CGCGTGAGTTCGAAGG-1", "d05.data2_CTAAGTGTCCAACTGA-1", "d05.data2_TTGTTGTAGTTAGTGA-1", "d05.data2_GAGGGATTCGTTCCCA-1", "d05.data2_TGTTCTAAGCACCGTC-1", "d05.data2_TGGGCTGGTTGCTCAA-1", "d05.data2_TGCATCCGTTGACGGA-1", "d05.data2_GAGACCCTCCACTAGA-1", "d05.data2_ATCCCTGAGGCACCAA-1", "d05.data2_CTGTCGTCATGGGAAC-1", "d05.data2_GGGTATTAGCACCCAC-1", "d05.data2_TCATTCAGTCAACCTA-1", "d05.data2_AGGTCTACATACAGGG-1", "d05.data2_ATGGGTTCAAGATCCT-1", "d05.data2_CCTCAGTCAACAGCTT-1", "d05.data2_TGGGTTAGTAACTTCG-1", "d05.data2_ACCGTTCCATGGGATG-1", "d05.data2_TTCCAATGTCTAACGT-1", "d05.data2_TGGTTAGCAGGCTATT-1", "d05.data2_CACGTGGAGTACTGTC-1", "d05.data2_TCGCTCAGTATGTGTC-1", "d05.data2_CTCATTAGTAGTGGCA-1", "d05.data2_TTTCGATAGGCAGCTA-1", "d05.data2_ATGAAAGTCCCAAGTA-1", "d05.data2_AATCGACTCCACGTCT-1", "d05.data2_ACATCCCGTGGATCGA-1", "d05.data2_GTTCTATTCGCTGCGA-1", "d05.data2_TCGTCCAAGTGAGGCT-1", "d05.data2_TACGGTATCCGGCAGT-1", "d05.data2_CAGATCAGTATGTCTG-1", "d05.data2_CGTGAATGTCGTTATG-1", "d05.data2_GAATCACGTGATACCT-1", "d05.data2_GGTGATTAGCCATATC-1", "d05.data2_AGGCCACAGCCATGCC-1", "d05.data2_ATTGTTCCAGACACAG-1", "d05.data2_CAGTTCCTCTCTTCAA-1", "d05.data2_TCAGGGCGTAAGACCG-1", "d05.data2_GTTGAACCACCAGACC-1", "d05.data2_GTTCTATAGTAATACG-1", "d05.data2_CCACACTGTCGTTATG-1", "d05.data2_GAGTGAGTCAGAGTGG-1", "d05.data2_GGCTTTCCACCAGTTA-1", "d05.data2_AAGTCGTCAGGTTCAT-1", "d05.data2_AAAGGATAGCCTGTCG-1", "d05.data2_TTCCGGTAGGACGCTA-1", "d05.data2_AGGACGATCATTCGGA-1", "d05.data2_AGGATAACATGGAGAC-1", "d05.data2_CAGTGCGCATCTATCT-1", "d05.data2_TGGGATTTCGGCCCAA-1", "d05.data2_TATACCTCACAAACGG-1", "d05.data2_CAACGATCACATGGTT-1", "d05.data2_GGAGCAAAGCCATTCA-1", "d05.data2_CCTCTCCTCGGCGATC-1", "d05.data2_TTTAGTCTCGGCCAAC-1", "d05.data2_TTAGGCAGTTCTAAGC-1", "d05.data2_ATTTCTGGTTATGACC-1", "d05.data2_ACCTGTCGTCGTTGGC-1", "d05.data2_CCTGTTGGTTCGTAAC-1", "d05.data2_GAGCCTGTCTACCAGA-1", "d05.data2_AACGTCAAGTCGGCCT-1", "d05.data2_AGGATAATCCATCACC-1", "d05.data2_CAGCAATTCATGCCCT-1", "d05.data2_GTAGATCAGCGGACAT-1", "d05.data2_ATCCGTCTCGAAGCAG-1", "d05.data2_TTTGGTTTCCCATACC-1", "d05.data2_ACGTTCCGTACATTGC-1", "d05.data2_GTAAGTCCACCCTCTA-1", "d05.data2_GATGACTTCCATACAG-1", "d05.data2_CCACACTTCTCCGTGT-1", "d05.data2_ATTTACCTCGCCTATC-1", "d05.data2_TGGGATTAGGCTTAGG-1", "d05.data2_TTCTAACAGATCGCTT-1", "d05.data2_GTGTTAGTCACGATCA-1", "d05.data2_CCAAGCGGTAACAGGC-1", "d05.data2_GCCAGCAGTGTGTCCG-1", "d05.data2_CTACCCATCGGCTGTG-1", "d05.data2_ACTATCTTCATGAGTC-1", "d05.data2_ACTTTCATCAATCAGC-1", "d05.data2_CAACGGCCAATGGCCC-1", "d05.data2_CAAAGAAGTCTAGGTT-1", "d05.data2_CTTCCGAAGGTTCAGG-1", "d05.data2_CCATCACCAACATACC-1", "d05.data2_TAACGACAGGACTGGT-1", "d05.data2_GCGTGCATCGCGGACT-1", "d05.data2_CTCATTAAGAGGCGTT-1", "d05.data2_ATGAGGGGTTAGGGTG-1", "d05.data2_TTGATGGCAGGCGAAT-1", "d05.data2_GATTCGATCTTACCGC-1", "d05.data2_CCCTAACTCTTCCGTG-1", "d05.data2_TCGGTCTTCCGATCGG-1", "d05.data2_CTCCGATTCGGAAGGT-1", "d05.data2_CAACGGCAGCACCAGA-1", "d05.data2_TTCTGTAAGAAATGGG-1", "d05.data2_TTTGGTTCAGTCTCTC-1", "d05.data2_CAAGGGATCGCCAACG-1", "d05.data2_AGAGCAGCAAACTAGA-1", "d05.data2_CGTTGGGTCTATCGGA-1", "d05.data2_ACTGCAACAGGTCTCG-1", "d05.data2_CGAGGAACAGAGGGTT-1", "d05.data2_CATGAGTGTCTCTCAC-1", "d05.data2_CAGTGCGCAGCGATTT-1", "d05.data2_CTCCGATTCTGTAAGC-1", "d05.data2_TGAACGTGTAATGCTC-1", "d05.data2_AAACGCTGTTAGAGAT-1", "d05.data2_AGTACCACAGTGTGGA-1", "d05.data2_GTCACGGCATCTTTCA-1", "d05.data2_CTGTATTTCCGTTTCG-1", "d05.data2_CTACCCAGTTTCGTTT-1", "d05.data2_AAAGGGCCACAGTGAG-1", "d05.data2_CAGATACGTGTGCTTA-1", "d05.data2_GAGATGGGTCCAAATC-1", "d05.data2_GCGAGAAGTACCCGCA-1", "d05.data2_GATTTCTTCCCAGTGG-1", "d05.data2_CACATGAAGATCGGTG-1", "d05.data2_AGGGAGTCAACTTCTT-1", "d05.data2_GTAGGTTAGCGACTGA-1", "d05.data2_AGTAACCTCCTCACGT-1", "d05.data2_GACAGCCGTAACATGA-1", "d05.data2_CAAAGAATCAGCGTCG-1", "d05.data2_GGGTGTCAGGATTTGA-1", "d05.data2_TTCGATTGTACCCACG-1", "d05.data2_ATTCCTAAGGCACGAT-1", "d05.data2_TCGGATAGTCGCCACA-1", "d05.data2_GTCACGGAGTGACACG-1", "d05.data2_TCACGGGTCGTTATCT-1", "d05.data2_TGGAGGATCACCTGTC-1", "d05.data2_CCTTGTGAGTGATAAC-1", "d05.data2_CGGGCATTCGGCTGGT-1", "d05.data2_GCCAGTGAGCGGGTAT-1", "d05.data2_TCATACTAGTGGTCAG-1", "d05.data2_ACCCTTGGTGGATTTC-1", "d05.data2_GTGACGCGTTGGTGTT-1", "d05.data2_TACAACGAGTATTGCC-1", "d05.data2_CCATCACTCGCCTAGG-1", "d05.data2_TCACTATAGAGCCCAA-1", "d05.data2_GCGGATCCATAGATCC-1", "d05.data2_TGTGAGTAGGCACAAC-1", "d05.data2_TTGCATTTCTCTCTAA-1", "d05.data2_CTTAGGATCCATTTGT-1", "d05.data2_TAAGCCATCATGTCTT-1", "d05.data2_GAATCGTCAGTTGGTT-1", "d05.data2_GACACGCTCATCCCGT-1", "d05.data2_ACCCTCAAGGAACGTC-1", "d05.data2_ACCTACCGTAATCAAG-1", "d05.data2_TCGGGCATCGATCCAA-1", "d05.data2_TCACACCTCAACCTTT-1", "d05.data2_GAACACTTCTGACCCT-1", "d05.data2_TGAGCGCTCCGAACGC-1", "d05.data2_GAACTGTCACTTCAAG-1", "d05.data2_CTAACTTGTGCATTAC-1", "d05.data2_TGTTCATCATGTTACG-1", "d05.data2_TCATTACAGGCGAAGG-1", "d05.data2_CTGCCTATCGTCCATC-1", "d05.data2_CATAAGCTCTCCCATG-1", "d05.data2_ATTTCACTCCGATAGT-1", "d05.data2_CCACGTTGTGAGGAAA-1", "d05.data2_AGCTTCCAGTATGACA-1", "d05.data2_GGGACTCTCAGTAGGG-1", "d05.data2_TTACCGCGTAGCGCCT-1", "d05.data2_ATCACTTCACTGGACC-1", "d05.data2_CTCAAGAAGGTTTACC-1", "d05.data2_TACGTCCTCAACGTGT-1", "d05.data2_TGGAACTGTGCGTTTA-1", "d05.data2_CCTGTTGAGTGATAAC-1", "d05.data2_ACCATTTGTACCCGAC-1", "d05.data2_TTTCACAGTGGCTGAA-1", "d05.data2_CACATGAGTCATCAGT-1", "d05.data2_TGCTTCGGTCCACAGC-1", "d05.data2_CTGCCTACAACAAGTA-1", "d05.data2_TTTCATGAGGGCTTCC-1", "d05.data2_CTAACTTGTACGCTTA-1", "d05.data2_ATGCATGAGCATGCAG-1", "d05.data2_CGCATAATCCAGTTCC-1", "d05.data2_GTGTGATCATTGGGAG-1", "d05.data2_GAGCCTGAGTGAACAT-1", "d05.data2_AACGTCAGTTCAAGTC-1", "d05.data2_AGCGCTGCAGAGTGAC-1", "d05.data2_AAACGAATCACCTCGT-1", "d05.data2_TAGCACAAGACTACGG-1", "d05.data2_CTCCCTCCAATTGGTC-1", "d05.data2_CATGCCTTCCCATTCG-1", "d05.data2_CTGTATTCAGTCGCTG-1", "d05.data2_CATGGATAGGTAGCCA-1", "d05.data2_AGTAACCTCCACTTTA-1", "d05.data2_AACCTTTTCGTGGGAA-1", "d05.data2_GTTGCTCAGGCATCGA-1", "d05.data2_AAGACAATCAACGTGT-1", "d05.data2_TACCTCGAGTTGTCGT-1", "d05.data2_GTGTAACAGAATCGAT-1", "d05.data2_CCGTTCACATGACAAA-1", "d05.data2_TGTCCTGCATCGATAC-1", "d05.data2_ATGCATGTCCCTCAAC-1", "d05.data2_GCCAGTGTCTGCGGGT-1", "d05.data2_TATTGCTCACCTGCAG-1", "d05.data2_TGCAGTATCGAGTCCG-1", "d05.data2_TTGTTCATCTGCATAG-1", "d05.data2_TGCACGGAGCTCACTA-1", "d05.data2_ATGGTTGTCATCTGTT-1", "d05.data2_CATTTCAGTGCCTACG-1", "d05.data2_AGACAAACACTTGTGA-1", "d05.data2_ACAAAGAGTGATAGTA-1", "d05.data2_CACAACAAGCCTCAAT-1", "d05.data2_GCCGATGCAACTCCAA-1", "d05.data2_AATCGACAGGTCCCTG-1", "d05.data2_TACGTCCGTCAGTCTA-1", "d05.data2_AGGAATAGTCACTTCC-1", "d05.data2_GTTGCGGGTCCTGTTC-1", "d05.data2_CGATGCGCATTCTTCA-1", "d05.data2_TGTAAGCAGAATTGTG-1", "d05.data2_TTCTGTATCGGCATTA-1", "d05.data2_TCACATTTCTTTGCAT-1", "d05.data2_AGACCCGCAAGGATGC-1", "d05.data2_AGTCACAGTGTCTTGA-1", "d05.data2_TGGGCTGAGCTAGAGC-1", "d05.data2_TCAGTGATCCCGAGAC-1", "d05.data2_GTTGTGAAGCGTTACT-1", "d05.data2_GGCTTTCAGCCACCGT-1", "d05.data2_GTGTGATTCGAACGCC-1", "d05.data2_GAAGAATTCGCTACGG-1", "d05.data2_CGTTGGGGTCCACAGC-1", "d05.data2_TTTACCATCCATTGCC-1", "d05.data2_ACACCAAGTGCAACAG-1", "d05.data2_TAGGGTTAGCATGATA-1", "d05.data2_AAGAACAAGTAGTCTC-1", "d05.data2_CATTGTTTCCAATGCA-1", "d05.data2_GACACGCTCAGGTAAA-1", "d05.data2_CACTGTCAGCCTCAGC-1", "d05.data2_GGGTTATTCATCTATC-1", "d05.data2_CTTGATTAGATGACAT-1", "d05.data2_ACCTGTCAGAATCTAG-1", "d05.data2_TCCCAGTCAACAAAGT-1", "d05.data2_TGATCTTGTAACGTTC-1", "d05.data2_TCATGCCAGAATCTAG-1", "d05.data2_CTGAATGCAGTATGAA-1", "d05.data2_GAGCTGCAGTAATTGG-1", "d05.data2_GCACGTGTCGCTATTT-1", "d05.data2_CAGCGTGCATAGAATG-1", "d05.data2_GAGTCTAGTTCAAACC-1", "d05.data2_GTTCCGTAGGCATCTT-1", "d05.data2_TGCAGGCAGATAGCTA-1", "d05.data2_TGAGCATAGAATCGAT-1", "d05.data2_GCCAGTGGTCTCTCAC-1", "d05.data2_TGATGCAAGTACTGTC-1", "d05.data2_CTGTATTAGGGAGGTG-1", "d05.data2_ATTCCATTCCATTTGT-1", "d05.data2_CTCAGAAGTCAACCAT-1", "d05.data2_TCAAGTGGTCACTAGT-1", "d05.data2_GATGTTGAGTAGTCCT-1", "d05.data2_CATGCCTGTAGTATAG-1", "d05.data2_ACCGTTCTCTACGGGC-1", "d05.data2_ATTCCTACACCAGTTA-1", "d05.data2_AGTGCCGGTTAGAAGT-1", "d05.data2_CATGCTCCATGTGACT-1", "d05.data2_CTGGACGTCCCTTGTG-1", "d05.data2_GTTACAGAGACATCAA-1", "d05.data2_AGCGATTAGTTCCGTA-1", "d05.data2_GTGGCGTTCCGCGGAT-1", "d05.data2_CGGGCATAGACATCCT-1", "d05.data2_AGGGCCTGTTGGCCGT-1", "d05.data2_TGGGAAGTCCCAGGAC-1", "d05.data2_ACCGTTCTCTGTGCTC-1", "d05.data2_TTCTCTCCACCTCAGG-1", "d05.data2_TACACCCTCGAGCCAC-1", "d05.data2_TCTTTGAGTCGGTGAA-1", "d05.data2_CGTGCTTTCCACGGAC-1", "d05.data2_AGAAGTACATATACCG-1", "d05.data2_GAGCTGCGTCGCTTAA-1", "d05.data2_GTGGCGTTCAGACCTA-1", "d05.data2_CGAGAAGCACACGTGC-1", "d05.data2_CTCTCAGTCTCAAAGC-1", "d05.data2_TGCCGAGAGACAGTCG-1", "d05.data2_ACCCTCAAGGTTAAAC-1", "d05.data2_CCCTAACCAACTTCTT-1", "d05.data2_GACACGCGTCAAGTTC-1", "d05.data2_TTCAATCCAGAACTTC-1", "d05.data2_ACTTCGCCACCAGGTC-1", "d05.data2_ACCGTTCAGTGCCAGA-1", "d05.data2_GTCAAACGTCCAGTTA-1", "d05.data2_TTGCCTGCATGGCCCA-1", "d05.data2_ACTTATCGTTTGTTGG-1", "d05.data2_AGGATAAAGTTACGTC-1", "d05.data2_TCACTCGCAAATGGAT-1", "d05.data2_TCCTCTTCAAATCGTC-1", "d05.data2_CACTGAAGTTCAGCGC-1", "d05.data2_ACAAAGAAGGAGAGGC-1", "d05.data2_GTCAGCGGTTTCCCAC-1", "d05.data2_CATCCGTAGTAAGACT-1", "d05.data2_ACATCCCAGAGAAGGT-1", "d05.data2_GTTCATTGTCCACACG-1", "d05.data2_CCACCATCATGTTTGG-1", "d05.data2_TCCTAATCAAATACAG-1", "d05.data2_ATACTTCGTGTCGCTG-1", "d05.data2_GGGTTATCAAGAGTTA-1", "d05.data2_AATGGAACAAACACCT-1", "d05.data2_TCTCCGACAGTTGGTT-1", "d05.data2_GCACTAACAAGTTCGT-1", "d05.data2_CCTCTAGAGTATGGCG-1", "d05.data2_GGGTATTAGTGATTCC-1", "d05.data2_AGAGAATGTCCAGCCA-1", "d05.data2_TAACCAGAGTCCCGGT-1", "d05.data2_GAACTGTAGCGGCTCT-1", "d05.data2_TCTCAGCCAGTTTCAG-1", "d05.data2_TCTTAGTCATCGATCA-1", "d05.data2_CCACTTGGTCGCTTGG-1", "d05.data2_CGGAATTCAAGGCTTT-1", "d05.data2_TGGCGTGAGTCGCTAT-1", "d05.data2_ACACGCGTCAGACATC-1", "d05.data2_GTGCAGCCAAACTCTG-1", "d05.data2_CCTAACCGTAGATTAG-1", "d05.data2_GTCACTCCACTTGTGA-1", "d05.data2_TCATCCGCAGCGACCT-1", "d05.data2_GAAGCGAAGATCCGAG-1", "d05.data2_ATGTCCCGTTGCATCA-1", "d05.data2_AGGTAGGTCGCTGTCT-1", "d05.data2_TCGACCTGTGCGAGTA-1", "d05.data2_CTCCCAAGTATCCTTT-1", "d05.data2_CTTAGGACATAGAATG-1", "d05.data2_ATTCCCGGTTCGTTCC-1", "d05.data2_TGGAACTTCTCCTGTG-1", "d05.data2_ACTACGAAGCTCGCAC-1", "d05.data2_GGTAACTGTTCGTGCG-1", "d05.data2_ACTGATGTCCCAATAG-1", "d05.data2_CGACAGCCAAACTCGT-1", "d05.data2_ACCAAACCACATGACT-1", "d05.data2_CCTCAGTAGATACCAA-1", "d05.data2_TGGAGAGGTGGGCTCT-1", "d05.data2_GAGCCTGCAGCTAACT-1", "d05.data2_ATTCAGGAGATGCTAA-1", "d05.data2_TGGAGAGGTTGATCGT-1", "d05.data2_TATACCTGTGGTCCGT-1", "d05.data2_ATTGTTCGTTTCGATG-1", "d05.data2_GTAATCGAGCGCCTAC-1", "d05.data2_AAGATAGTCGTTCAGA-1", "d05.data2_ATGAAAGCACTGGATT-1", "d05.data2_ATAGACCCAGTCACGC-1", "d05.data2_GAACGTTTCCTCTAGC-1", "d05.data2_ATTCACTAGCGACTTT-1", "d05.data2_CTTCAATGTTTAGAGA-1", "d05.data2_CACAGGCCACTTGGGC-1", "d05.data2_CGACAGCCAGTTGTCA-1", "d05.data2_CAGGTATCAATCGCCG-1", "d05.data2_TGGTTAGGTCGTAATC-1", "d05.data2_TGACGCGAGTTCCGTA-1", "d05.data2_AAGCGAGAGGCCTGCT-1", "d05.data2_AGCTACAGTTTCGTTT-1", "d05.data2_ACGGTTAGTTTCACTT-1", "d05.data2_AAAGAACCACCTCTGT-1", "d05.data2_TTGGGTATCGTGTGAT-1", "d05.data2_TTGATGGAGGAATTAC-1", "d05.data2_CGAGGAATCAAGAAAC-1", "d05.data2_TGTGTGAGTTGTCCCT-1", "d05.data2_GCTACCTTCCGACGGT-1", "d05.data2_CAGTTCCAGCCATTCA-1", "d05.data2_CACGAATGTGCTATTG-1", "d05.data2_CCACGTTAGCCTGAGA-1", "d05.data2_ATGGATCGTATAGCTC-1", "d05.data2_GTGGTTACAGCTGCCA-1", "d05.data2_CAGGGCTGTACCCACG-1", "d05.data2_TTGTGTTAGTATTGCC-1", "d05.data2_CATCCACGTTACCCAA-1", "d05.data2_AACCTTTGTGTTAACC-1", "d05.data2_CCTTCAGGTAGCGATG-1", "d05.data2_TACCGAATCCCGGTAG-1", "d05.data2_CCTATCGGTTAAACAG-1", "d05.data2_TCATTTGCAGGAGGAG-1", "d05.data2_TAGGTTGCAGCAGGAT-1", "d05.data2_GGGTATTCAATCTCTT-1", "d05.data2_GTCTAGATCCACTTTA-1", "d05.data2_ACATCGAGTAAGCGGT-1", "d05.data2_TTTACGTGTCGTATGT-1", "d05.data2_AGGGTGAAGAGCCCAA-1", "d05.data2_ATTTACCCACGTACAT-1", "d05.data2_GCAGTTAGTTGTTTGG-1", "d05.data2_ATCTCTACATCTCCCA-1", "d05.data2_GTTGTGAGTAATTAGG-1", "d05.data2_CAGATCAGTAGACAGC-1", "d05.data2_ATGTCCCAGTCTAGCT-1", "d05.data2_AGGGTGAGTCCGTACG-1", "d05.data2_AGTACTGGTTACCTGA-1", "d05.data2_CACATGACAGACCATT-1", "d05.data2_GATTTCTCACAAATAG-1", "d05.data2_GGCGTCACACTAGGTT-1", "d05.data2_TCTTGCGAGTGGAATT-1", "d05.data2_TGATTTCAGTTCACTG-1", "d05.data2_CAACAGTGTCTATGAC-1", "d05.data2_CTTAGGACAGTTGCGC-1", "d05.data2_TGTGCGGCATGCCGCA-1", "d05.data2_CTGCCTAAGTTGGACG-1", "d05.data2_ACTTATCCACGACGAA-1", "d05.data2_CTCCACAGTACCCAGC-1", "d05.data2_CCTCTAGTCGAAATCC-1", "d05.data2_TAGCACATCGATGCAT-1", "d05.data2_CATTTCATCGTTCTGC-1", "d05.data2_CCATAAGGTGGATACG-1", "d05.data2_TCGGATACACCCTATC-1", "d05.data2_CACTGTCCAGTCGAGA-1", "d05.data2_GTGGAGATCAAGTTGC-1", "d05.data2_GGGCGTTTCGCCTTTG-1", "d05.data2_GAAACCTGTATCCCAA-1", "d05.data2_AGCGATTGTGAAGCGT-1", "d05.data2_TAGGGTTAGTAAGAGG-1", "d05.data2_TTGGGTATCCTAAACG-1", "d05.data2_GTCGTTCGTTCGTGCG-1", "d05.data2_AGCTTCCGTACGGTTT-1", "d05.data2_AGATCGTGTATCGTTG-1", "d05.data2_ACTTTGTTCACTCACC-1", "d05.data2_ACCTACCCATCTCGTC-1", "d05.data2_TGTTACTTCCGCGATG-1", "d05.data2_TCAGTCCGTTCTATCT-1", "d05.data2_CCATAAGAGATTGTGA-1", "d05.data2_TCGCTCAGTCCACTTC-1", "d05.data2_CTTGATTTCGAACGCC-1", "d05.data2_TTGTGGAAGTTTGGCT-1", "d05.data2_CTCAATTCAGGGTTGA-1", "d05.data2_TTTAGTCGTATGAAAC-1", "d05.data2_CCTATCGTCCCGTGAG-1", "d05.data2_GACTATGCAATCAGCT-1", "d05.data2_TAGAGTCTCGCACTCT-1", "d05.data2_ACATGCACATTCGATG-1", "d05.data2_GGAGGTATCTCGCTCA-1", "d05.data2_TCGTGGGCACCTAAAC-1", "d05.data2_CTCAGAAAGGACATCG-1", "d05.data2_CCACAAACATCGATCA-1", "d05.data2_TGCAGGCCAGTTGAAA-1", "d05.data2_GGGACTCCATGTTTGG-1", "d05.data2_GTCATTTCACGAAGAC-1", "d05.data2_TCTTAGTCAAGAGTTA-1", "d05.data2_GGTAGAGCACTGGCGT-1", "d05.data2_AAGCCATCAATTCTTC-1", "d05.data2_ACTTATCCAGCTCATA-1", "d05.data2_CTTAGGAGTTCCGCAG-1", "d05.data2_TCAGCCTAGACGAAGA-1", "d05.data2_GCTTTCGAGTCTTCCC-1", "d05.data2_TCGCTTGGTCGTACAT-1", "d05.data2_ATTTACCTCACCGACG-1", "d05.data2_CTCAACCGTATCAGGG-1", "d05.data2_GGCAGTCGTTACGTAC-1", "d05.data2_CATTGCCTCCTCTCTT-1", "d05.data2_TAGCACATCACCGCTT-1", "d05.data2_CGTGCTTGTATGTGTC-1", "d05.data2_CTCCTCCTCTGAATCG-1", "d05.data2_CATTCTACACATGAAA-1", "d05.data2_CCACGTTGTGGGACAT-1", "d05.data2_TCATGCCAGCCGGATA-1", "d05.data2_GATTTCTAGCGGGTAT-1", "d05.data2_GCAACATAGCAACCAG-1", "d05.data2_CGAAGGATCACCTGGG-1", "d05.data2_TTTCCTCTCATCGACA-1", "d05.data2_TTACGTTAGTAAACGT-1", "d05.data2_CTTCGGTTCCGTTGGG-1", "d05.data2_AGCGCTGCAAGTCCCG-1", "d05.data2_TATTGGGAGATGTAGT-1", "d05.data2_TCGCTTGTCAACGTGT-1", "d05.data2_TGGATCAAGGGCTTCC-1", "d05.data2_TCATTTGAGTAAGAGG-1", "d05.data2_AGCCAGCCACTGTTCC-1", "d05.data2_GTAAGTCTCTCATGGA-1", "d05.data2_TTGTTGTCACTGTCCT-1", "d05.data2_AACCACAGTCAGGTGA-1", "d05.data2_TACACCCAGTGCTCAT-1", "d05.data2_AAACGCTCAAATGAAC-1", "d05.data2_ACTGTCCTCCGTATAG-1", "d05.data2_GTAACACCATTCCTAT-1", "d05.data2_CATCCCACAAACACGG-1", "d05.data2_TCCTTTCTCTTGGTCC-1", "d05.data2_CTGCATCGTTCCTAGA-1", "d05.data2_CAGCACGGTACTAGCT-1", "d05.data2_CAGAGCCAGTTCCATG-1", "d05.data2_TTGGTTTGTCCCGCAA-1", "d05.data2_CAGTTAGCAGTTCACA-1", "d05.data2_CCGCAAGAGGATACGC-1", "d05.data2_GATTGGTTCGACCACG-1", "d05.data2_GAAACCTCATAGAATG-1", "d05.data2_GCACGTGTCTCGCTTG-1", "d05.data2_CTCAAGAAGCACGGAT-1", "d05.data2_GCCAGTGGTCTTACAG-1", "d05.data2_ATCTTCATCAACGCTA-1", "d05.data2_AGAGAGCAGGTTGCCC-1", "d05.data2_ATGACCATCCATAGAC-1", "d05.data2_CTAACTTAGTACAACA-1", "d05.data2_CATGCAAAGGATTACA-1", "d05.data2_CACCAAACACGAGGAT-1", "d05.data2_GTGAGCCTCCTATTGT-1", "d05.data2_ACCAACAGTGAAGCTG-1", "d05.data2_AGGTCTAAGGTTGGTG-1", "d05.data2_ATCCTATGTGTCATGT-1", "d05.data2_CAATGACTCTGAGTCA-1", "d05.data2_TCGGATATCGCAATTG-1", "d05.data2_GAAGGACGTGTTATCG-1", "d05.data2_TCAGTCCCACGCAGTC-1", "d05.data2_TTCTCTCCAGGGTCTC-1", "d05.data2_CAACAGTCATGGATCT-1", "d05.data2_TTGCCTGAGGGAGATA-1", "d05.data2_AGCTACAAGAATCGCG-1", "d05.data2_CCTAACCCATCGGTTA-1", "d05.data2_GCTGGGTGTTCCGCGA-1", "d05.data2_CATGCGGAGCTGAAAT-1", "d05.data2_AACAAGAGTATTGGCT-1", "d05.data2_AAGGAATGTCAATCTG-1", "d05.data2_CTTGAGAAGTAACAGT-1", "d05.data2_ATAGACCTCATTTCGT-1", "d05.data2_ACGGTTATCTTGGATG-1", "d05.data2_CATACCCCATGAGAAT-1", "d05.data2_CATGGATGTATGAGAT-1", "d05.data2_ATACTTCGTTAAGGAT-1", "d05.data2_GTCACGGGTGCCTTCT-1", "d05.data2_TGAACGTTCTTAGGAC-1", "d05.data2_ATTTACCAGTCATGCT-1", "d05.data2_GAATCACCATACAGGG-1", "d05.data2_GAGTCTAAGCTGTACT-1", "d05.data2_TCCTCGATCTATGTGG-1", "d05.data2_CTTCCTTTCATTGCTT-1", "d05.data2_CATCCCATCTTGAGCA-1", "d05.data2_TGCGATACACAATTCG-1", "d05.data2_AAGACAACACCTGAAT-1", "d05.data2_TGGTACATCGACACTA-1", "d05.data2_GGGTGTCTCCGAGTGC-1", "d05.data2_GTAGAAAGTCCGTACG-1", "d05.data2_GGCACGTTCCGACAGC-1", "d05.data2_GGATCTACATGAGTAA-1", "d05.data2_AGAGAATTCTAACGCA-1", "d05.data2_TCATTGTTCTTAGCAG-1", "d05.data2_GGCTTGGTCAGTAGGG-1", "d05.data2_ATGATCGGTGAGTTTC-1", "d05.data2_GTCCCATTCGTTCAGA-1", "d05.data2_AAGGAATGTGATACTC-1", "d05.data2_CTACTATTCACGATAC-1", "d05.data2_TGAATGCGTTTCCCAC-1", "d05.data2_TTCGGTCTCAGCTAGT-1", "d05.data2_TGCTTCGCATTACTCT-1", "d05.data2_ATCTTCAAGATGGTAT-1", "d05.data2_AAACCCAAGGTGGCTA-1", "d05.data2_TGCGATATCATAGGCT-1", "d05.data2_ACTATCTTCTCCCAAC-1", "d05.data2_AAGTACCAGGTTACCT-1", "d05.data2_AGGACTTGTACCTAGT-1", "d05.data2_GTTACGAGTATCCTCC-1", "d05.data2_GATAGCTCAGTCAGTT-1", "d05.data2_GTAGCTAGTGGACCAA-1", "d05.data2_ATGTCTTCAGCATACT-1", "d05.data2_TCATTACTCATATGGC-1", "d05.data2_GGGCCATGTGAGACCA-1", "d05.data2_ACAAGCTGTACTCCGG-1", "d05.data2_AGAAATGAGTATAGAC-1", "d05.data2_CACATGAAGTTATGGA-1", "d05.data2_TCATTACAGGTTAGTA-1", "d05.data2_AGGGTTTAGGCCTTCG-1", "d05.data2_GCCAGGTGTAACGCGA-1", "d05.data2_TAATTCCTCTACAGGT-1", "d05.data2_TCCATGCAGCTAATGA-1", "d05.data2_CTGCCATCAGCTTCGG-1", "d05.data2_GCGGAAAGTGTTAAAG-1", "d05.data2_TCGTAGAAGTGGTTGG-1", "d05.data2_GTAATGCCAGGTTTAC-1", "d05.data2_GGAACCCTCCCTAGGG-1", "d05.data2_TGGAACTGTCTGTGGC-1", "d05.data2_TAGGTTGGTGCTGTCG-1", "d05.data2_TGTTACTCACAAATAG-1", "d05.data2_CCTAACCCAGTTAGGG-1", "d05.data2_ATGAGGGCATGGTACT-1", "d05.data2_GACCAATTCGCTACAA-1", "d05.data2_ATTGGGTGTGCCCAGT-1", "d05.data2_GTTCATTAGGTCACCC-1", "d05.data2_GGGAGATTCCGCAAAT-1", "d05.data2_TCACAAGCACGCTGAC-1", "d05.data2_CATCCGTAGTGAGGTC-1", "d05.data2_CATCGGGTCTAAGCGT-1", "d05.data2_GCTGCAGAGTGTTGTC-1", "d05.data2_AGCCAGCCATGGGATG-1", "d05.data2_GAGAAATGTTAGGGAC-1", "d05.data2_TCATGTTTCGGTCGGT-1", "d05.data2_TTGCATTGTGGTACAG-1", "d05.data2_TGGGATTCATGGGCAA-1", "d05.data2_GTGCTTCCACCTCTAC-1", "d05.data2_GGGCTCAAGATGCCGA-1", "d05.data2_TGTCCACTCTAATTCC-1", "d05.data2_TTTATGCCAAGGTTGG-1", "d05.data2_TCATTTGCACATCATG-1", "d05.data2_GTGCACGTCGAGCTGC-1", "d05.data2_TGAGGTTCAGACGATG-1", "d05.data2_ACCCAAAAGACCGTTT-1", "d05.data2_TTATTGCTCTAGCATG-1", "d05.data2_AAGACAAGTTGGACCC-1", "d05.data2_TCATTTGCACGTGAGA-1", "d05.data2_CTCTCGACAAAGCACG-1", "d05.data2_ACACGCGGTGCGTGCT-1", "d05.data2_GCTGAATGTCGGCCTA-1", "d05.data2_ACAACCATCTGACCCT-1", "d05.data2_CCAATTTAGGCTTAAA-1", "d05.data2_GAACACTCAACCAACT-1", "d05.data2_TCTATACAGTTGGGAC-1", "d05.data2_GAGGCCTCACTGTGAT-1", "d05.data2_GCACATAGTACATACC-1", "d05.data2_ACTGTGACAACAGAGC-1", "d05.data2_GGTGAAGGTTGACTAC-1", "d05.data2_CTGCTCAGTGTATTGC-1", "d05.data2_AGGACGAGTACGATCT-1", "d05.data2_CCAATGACATGATCTG-1", "d05.data2_CAGCCAGGTCGCAGTC-1", "d05.data2_AACTTCTTCCCTATTA-1", "d05.data2_AGGTTGTCACTTGTCC-1", "d05.data2_CAGTTCCCAAATGCTC-1", "d05.data2_ATGGATCGTACCTAGT-1", "d05.data2_TGTCCTGGTGCAACGA-1", "d05.data2_CCAATGAGTGCATTAC-1", "d05.data2_GAATCACTCACCATGA-1", "d05.data2_AAGACTCAGAGAGCAA-1", "d05.data2_AGGTCTACAACGCATT-1", "d05.data2_GTCATGACAAGCAGGT-1", "d05.data2_AGTTCGACAGGACTAG-1", "d05.data2_GTTTACTGTATACAGA-1", "d05.data2_CGTAATGAGTTAGAAC-1", "d05.data2_GCTCAAACATAATCCG-1", "d05.data2_ACTGTGAGTATCCTTT-1", "d05.data2_TACCGGGCAGGTCAGA-1", "d05.data2_ATCATTCGTTGGAGAC-1", "d05.data2_AGATCCACATTCTCTA-1", "d05.data2_CTACATTTCGAACACT-1", "d05.data2_AACCTTTCATGTGTCA-1", "d05.data2_AAGTTCGGTCAGACTT-1", "d05.data2_ATCCCTGGTTTAGTCG-1", "d05.data2_TCTACATAGGGAGTTC-1", "d05.data2_TTAGTCTGTACCTAAC-1", "d05.data2_TACGTCCTCAGGTGTT-1", "d05.data2_CGCATAAAGCGTCAGA-1", "d05.data2_ATACCTTAGCAGGTCA-1", "d05.data2_ACTTCCGGTGAGACCA-1", "d05.data2_CAATGACAGAAGCCAC-1", "d05.data2_CATACTTCAATCTAGC-1", "d05.data2_CCCAACTAGGCCCAAA-1", "d05.data2_CCTAACCGTGTTAACC-1", "d05.data2_GCCCAGATCATTGCCC-1", "d05.data2_GCAACCGGTTCCAGGC-1", "d05.data2_TTGAGTGCACTAAACC-1", "d05.data2_AGAGAGCAGTCGCTAT-1", "d05.data2_CTACCTGCACCCTTGT-1", "d05.data2_TAACGACTCGAACCTA-1", "d05.data2_CTATCCGTCACGATCA-1", "d05.data2_ACGTCCTCATGCTGCG-1", "d05.data2_CAGTTCCGTAACCCGC-1", "d05.data2_TGATGGTCATGGATCT-1", "d05.data2_AACAAGAGTCACTAGT-1", "d05.data2_AACAAGAGTAGAGACC-1", "d05.data2_CCTTGTGTCGATGCAT-1", "d05.data2_CAAAGAATCGCTACGG-1", "d05.data2_TTCATGTGTTTAAGGA-1", "d05.data2_TCGCAGGCACTATCGA-1", "d05.data2_ATCCCTGTCTAGATCG-1", "d05.data2_CCTCCTCTCGCTTTAT-1", "d05.data2_AGGAAATAGGAATTAC-1", "d05.data2_AGCTACAGTTGCATAC-1", "d05.data2_ATACTTCCACATCATG-1", "d05.data2_TAATCTCCACTTGAAC-1", "d05.data2_TAATTCCGTTCAATCG-1", "d05.data2_ACCTGAAAGTAGTCTC-1", "d05.data2_TTGACCCCATAGCACT-1", "d05.data2_CCACAAAAGTCGTCTA-1", "d05.data2_AGCCAGCCACCACTGG-1", "d05.data2_TGTGATGGTACTGCGC-1", "d05.data2_CATCGCTGTCCGAAAG-1", "d05.data2_ACCTGTCTCTGTGCTC-1", "d05.data2_CGAGTTAAGCGTCTGC-1", "d05.data2_CAGTTAGTCACCTCGT-1", "d05.data2_CTAGACAAGCGGGTAT-1", "d05.data2_GTCTACCTCTCATTTG-1", "d05.data2_TGAACGTTCATGGAGG-1", "d05.data2_TTTACGTCAGCTCCTT-1", "d05.data2_AACAAAGCAAATACAG-1", "d05.data2_AAGACAAAGCGACAGT-1", "d05.data2_CTTACCGTCCTTCTTC-1", "d05.data2_TCGGGACTCCCTCGTA-1", "d05.data2_CTCAGAAGTCTTCTAT-1", "d05.data2_ATCGGCGCAGGAATCG-1", "d05.data2_TTGACCCGTCTACAGT-1", "d05.data2_ATAGAGACAATGAACA-1", "d05.data2_TCAGCCTAGGGAGATA-1", "d05.data2_AGTCATGAGAGGACTC-1", "d05.data2_TACGCTCAGCGGCTCT-1", "d05.data2_AGGTCATGTTAATCGC-1", "d05.data2_AACAAGACAGCAATTC-1", "d05.data2_CAAGAGGAGAGGATGA-1", "d05.data2_GGAGATGCAAGTGGCA-1", "d05.data2_TCGTCCAGTATGGAAT-1", "d05.data2_GGGACCTGTGTCCACG-1", "d05.data2_TGCTTCGTCATCTATC-1", "d05.data2_CTGCTCATCATACAGC-1", "d05.data2_AGTAACCAGTGGATAT-1", "d05.data2_GAGCCTGTCAAAGGTA-1", "d05.data2_TGAGCGCAGCTTGTTG-1", "d05.data2_GGGAAGTAGGATTCCT-1", "d05.data2_CCACAAACACTGAATC-1", "d05.data2_GATGCTATCGCTCCTA-1", "d05.data2_ACCCTCAAGCCTCAAT-1", "d05.data2_TCGAAGTTCGACGCTG-1", "d05.data2_TTCCGTGCAGAGGAAA-1", "d05.data2_TACCTGCCAGACTCTA-1", "d05.data2_TGTTGAGCAATTAGGA-1", "d05.data2_TGTGCGGCACACTTAG-1", "d05.data2_CTGAGGCGTCGGAAAC-1", "d05.data2_TCCTTCTGTCTACATG-1", "d05.data2_AGCTACATCTCATTTG-1", "d05.data2_CATTCTACACGGGCTT-1", "d05.data2_CTCCTCCCAGTCTGGC-1", "d05.data2_TCATGTTAGCAGATAT-1", "d05.data2_AAAGTCCAGCTATCTG-1", "d05.data2_GTTGTGACACTCCGGA-1", "d05.data2_AGCGTATTCGAATGCT-1", "d05.data2_CAATCGACATCTTCGC-1", "d05.data2_ATCACAGAGGTACCTT-1", "d05.data2_GATAGAACAACTTGCA-1", "d05.data2_GATTCGACAGAGGAAA-1", "d05.data2_TTTCCTCAGTGATAAC-1", "d05.data2_ATCCATTTCTCACCCA-1", "d05.data2_AGTCATGGTTCGAGCC-1", "d05.data2_GCACATAAGCGACTAG-1", "d05.data2_TCTTTGAGTCGGAACA-1", "d05.data2_TGCATGAAGCATAGGC-1", "d05.data2_AGCCACGCATCATCCC-1", "d05.data2_CCACGTTTCTCCTGAC-1", "d05.data2_TTCTTGAAGCTGCCAC-1", "d05.data2_CTCCACAGTCTTTATC-1", "d05.data2_GTAGATCCATGTAACC-1", "d05.data2_AATTTCCTCCTACAAG-1", "d05.data2_GGGAGTACAAACTGCT-1", "d05.data2_GCAGCCATCGATCCAA-1", "d05.data2_GGGTTTATCTACACTT-1", "d05.data2_GCCCGAACATCCTTCG-1", "d05.data2_TGACTCCTCGATACAC-1", "d05.data2_CACATGACACCCTGTT-1", "d05.data2_GGTTAACTCATTTACC-1", "d05.data2_ACTATGGCATGTAACC-1", "d05.data2_CGCAGGTTCGGAGATG-1", "d05.data2_AGCTCAATCCTGGGAC-1", "d05.data2_GGGATCCAGAGTCGAC-1", "d05.data2_TCCGTGTCATACATCG-1", "d05.data2_TACCCGTTCCAGTGTA-1", "d05.data2_CGCCAGAAGCTCACTA-1", "d05.data2_CATTTCATCGAGAAAT-1", "d05.data2_AATAGAGGTGTTGACT-1", "d05.data2_AAAGGTACAAAGAACT-1", "d05.data2_ATCTTCAGTATTTCTC-1", "d05.data2_TTGAGTGCAGCGCTTG-1", "d05.data2_GACGTTAGTTAGAAAC-1", "d05.data2_TGGGCTGGTAGCTGTT-1", "d05.data2_TGAGACTGTAGTAAGT-1", "d05.data2_TCATGTTAGGACAACC-1", "d05.data2_CTAAGTGGTATTGAGA-1", "d05.data2_GCACTAATCCAGTGCG-1", "d05.data2_AGTTCCCCAAGTATCC-1", "d05.data2_AGGCATTTCCCAACTC-1", "d05.data2_AAGCGTTTCATGACAC-1", "d05.data2_TCCAGAAGTCTGATAC-1", "d05.data2_CTGTATTTCATCGTAG-1", "d05.data2_CTGGCAGTCCACAGCG-1", "d05.data2_ATGGATCGTAGCTCGC-1", "d05.data2_TGAGCGCGTATGCTTG-1", "d05.data2_AACCAACCAAGGCTTT-1", "d05.data2_GTTCTATTCGACGATT-1", "d05.data2_CTAACCCGTGTGCCTG-1", "d05.data2_ACTCCCATCACCTGGG-1", "d05.data2_CCACGAGTCCTCGATC-1", "d05.data2_ATTTACCGTCACTACA-1", "d05.data2_AATGCCACAAGCAATA-1", "d05.data2_ATGCATGTCATGGAGG-1", "d05.data2_TTCTAACCAAGACGAC-1", "d05.data2_TCATCATGTTTACCTT-1", "d05.data2_AGTTCGATCTAGCAAC-1", "d05.data2_CGCATGGTCCTTATCA-1", "d05.data2_CTATAGGGTGTCCCTT-1", "d05.data2_ACTTCCGGTCAAAGAT-1", "d05.data2_CTATAGGTCTCTGACC-1", "d05.data2_CCACTTGCACTTTAGG-1", "d05.data2_GGGAGTAGTTATGTGC-1", "d05.data2_TCATACTCATTGACCA-1", "d05.data2_GATGATCGTAGCGAGT-1", "d05.data2_ATCCTATCAAATCGTC-1", "d05.data2_TTTCATGCACCTGAAT-1", "d05.data2_TGAGGGATCCATCTGC-1", "d05.data2_TATGTTCTCGGTGTAT-1", "d05.data2_GCCATGGTCTACACAG-1", "d05.data2_AAGATAGGTGCTTCAA-1", "d05.data2_GTCAGCGTCTACACAG-1", "d05.data2_CCTTCAGGTCCCAAAT-1", "d05.data2_TCTCAGCAGTCAGCGA-1", "d05.data2_GAATCGTCACACCGCA-1", "d05.data2_TCCACCAAGACGACGT-1", "d05.data2_TGACGCGAGCCGGAAT-1", "d05.data2_GATCCCTCAGCATGCC-1", "d05.data2_TACCTGCAGACGGTCA-1", "d05.data2_GCAGCTGCATGTGACT-1", "d05.data2_GCAACATAGCTGAGCA-1", "d05.data2_CATGCAAAGGGCAACT-1", "d05.data2_TTCAATCGTAGCTTTG-1", "d05.data2_GCTTGGGAGTATGGCG-1", "d05.data2_GTCAAGTAGGCTTCCG-1", "d05.data2_TACGGTAGTTCAGCGC-1", "d05.data2_TCGCAGGCACAGCGCT-1", "d05.data2_GTTGTGAGTCTCTCCA-1", "d05.data2_ACCATTTAGCTGGAGT-1", "d05.data2_GTGAGTTTCAACCTTT-1", "d05.data2_CGAGTTAAGCCAGAGT-1", "d05.data2_AACAACCAGTAGACAT-1", "d05.data2_GTGAGGATCTCTTAAC-1", "d05.data2_GGTGATTTCGACCACG-1", "d05.data2_AAGATAGTCTTCTGTA-1", "d05.data2_AGCGATTGTACGCTTA-1", "d05.data2_GCCGATGCATATACCG-1", "d05.data2_CCGAACGGTCAAACGG-1", "d05.data2_TGCGGGTGTTCGGCCA-1", "d05.data2_CTAACCCAGACATGCG-1", "d05.data2_GAGACTTTCCGGACGT-1", "d05.data2_AGGGTTTAGCGTTAGG-1", "d05.data2_TCGACGGAGTCTCTGA-1", "d05.data2_ATCCCTGCAACAAAGT-1", "d05.data2_CTACCTGCAGTTGTTG-1", "d05.data2_CGGAATTGTGTCGATT-1", "d05.data2_GCAGGCTCAATGTGGG-1", "d05.data2_GCATCTCTCTCTGGTC-1", "d05.data2_TCGTGGGGTTTGTTGG-1", "d05.data2_CCACAAATCCTCTAGC-1", "d05.data2_TTCTGTAGTTCCCAAA-1", "d05.data2_AGGGTCCGTCGTATTG-1", "d05.data2_GCCATTCCATAACGGG-1", "d05.data2_CTACATTGTCAGTTTG-1", "d05.data2_GGTAATCTCTAGCATG-1", "d05.data2_CGCATAATCATACAGC-1", "d05.data2_CTCCTCCTCGCATAGT-1", "d05.data2_AAGACAAGTCGACGCT-1", "d05.data2_TCCATGCCAGGAACCA-1", "d05.data2_TGATGGTTCACCGACG-1", "d05.data2_GGTGTCGTCCTCACTG-1", "d05.data2_TCTATACAGCATGATA-1", "d05.data2_CTATCTAAGGTTGCCC-1", "d05.data2_TTGGATGCAGTTGCGC-1", "d05.data2_GTAGTACAGGGCTAAC-1", "d05.data2_GAACTGTAGCTAGAGC-1", "d05.data2_GCCAGGTTCGCATGAT-1", "d05.data2_TTTCACAGTCACAATC-1", "d05.data2_TCTGGCTAGTTGGAAT-1", "d05.data2_AACCTGAGTAACATAG-1", "d05.data2_CAAGCTAAGGAAGTAG-1", "d05.data2_GGTTAACGTGTGAGCA-1", "d05.data2_TTCCTAATCTTCACAT-1", "d05.data2_TGCGATACACACCTAA-1", "d05.data2_TTCTTCCTCCTCACCA-1", "d05.data2_CATGCAACATCAACCA-1", "d05.data2_ATGCATGCACTGTTCC-1", "d05.data2_CTACTATTCGAACCAT-1", "d05.data2_TTCTAGTCACACACGC-1", "d05.data2_TAATTCCCAGAGGTTG-1", "d05.data2_ACTTATCTCGGTCGAC-1", "d05.data2_AAAGAACCACCTAAAC-1", "d05.data2_TACGGTATCAATGTCG-1", "d05.data2_GAATCACCAAGGCTTT-1", "d05.data2_TACCTGCCAGTATTCG-1", "d05.data2_TACTGCCTCACGGGCT-1", "d05.data2_TCCAGAACACCCTTGT-1", "d05.data2_TCATTTGTCGTTAGAC-1", "d05.data2_CCGTAGGGTCTTGAAC-1", "d05.data2_AGTAACCTCAGGAAAT-1", "d05.data2_TTGATGGTCGAACGCC-1", "d05.data2_TCGCTCATCCTCGATC-1", "d05.data2_GGTGGCTAGTAACGAT-1", "d05.data2_GACCCTTAGTCTCCTC-1", "d05.data2_CAACAACCAATGTTGC-1", "d05.data2_CTGCCATCAGCTTTCC-1", "d05.data2_GATGGAGTCCTTGACC-1", "d05.data2_ATCACAGGTAAGCAAT-1", "d05.data2_ACCAACATCGTGCGAC-1", "d05.data2_CAATCGATCAAAGGTA-1", "d05.data2_TTAATCCAGACCAACG-1", "d05.data2_TGAGGGACAGTTAGGG-1", "d05.data2_GAGGGATTCGTAGCCG-1", "d05.data2_GTAAGTCAGACTCTTG-1", "d05.data2_ATGGTTGTCGAGTCTA-1", "d05.data2_GTGACGCCACGGCCAT-1", "d05.data2_TTATTGCGTTAAGACA-1", "d05.data2_GAACTGTAGAGCCGAT-1", "d05.data2_GTCTCACAGGTTCCAT-1", "d05.data2_ACTCTCGGTCCATAGT-1", "d05.data2_ATACTTCGTGGTGATG-1", "d05.data2_CGTCAAAGTTCCTAGA-1", "d05.data2_TGGTACATCAAGTGTC-1", "d05.data2_TCGAACATCGCTGCGA-1", "d05.data2_CTGCAGGGTCTCGGGT-1", "d05.data2_CATTGCCAGGGTAATT-1", "d05.data2_TCTAACTAGGTCTACT-1", "d05.data2_ACTGTGAGTAATACCC-1", "d05.data2_CAGAGCCGTTCATCGA-1", "d05.data2_CCAATTTCAGCAGTAG-1", "d05.data2_TTCTGTATCCGGTAAT-1", "d05.data2_ACACAGTTCGCTACGG-1", "d05.data2_GGGACAAAGAAGCGCT-1", "d05.data2_GACATCATCCACGTCT-1", "d05.data2_CGAGTGCCATGGCTGC-1", "d05.data2_TCTCACGGTCATCCGG-1", "d05.data2_TTATTGCCAGCTTTGA-1", "d05.data2_ACTTATCTCCGTATAG-1", "d05.data2_ATTTCACTCATGAGGG-1", "d05.data2_AGCATCATCCTGCTAC-1", "d05.data2_TGTTCTAGTTATCCAG-1", "d05.data2_ATGCCTCTCTCCACTG-1", "d05.data2_TCTGTCGCAGCGTGAA-1", "d05.data2_GTCAGCGTCCAAGAGG-1", "d05.data2_CGGAACCGTGCTTCAA-1", "d05.data2_AGACTCACACTGAGGA-1", "d05.data2_TATTTCGTCGCATGAT-1", "d05.data2_AAAGGTACACTGTTCC-1", "d05.data2_AGCCAATTCGTCAGAT-1", "d05.data2_TCCCACAAGTTCGGTT-1", "d05.data2_TACACCCCATACTGTG-1", "d05.data2_TGACTCCGTTACAGCT-1", "d05.data2_CATCGTCAGGTTACCT-1", "d05.data2_TATCAGGCAACAAAGT-1", "d05.data2_CCACAAATCTTGTGCC-1", "d05.data2_TCCATCGTCCGCAAAT-1", "d05.data2_TAGTGCAGTCTACGTA-1", "d05.data2_TGATGCAGTATCACCA-1", "d05.data2_AGTGTTGCACTAGAGG-1", "d05.data2_CATCGTCTCCACGGAC-1", "d05.data2_AGAGCCCAGGGTTAGC-1", "d05.data2_TCCTCTTAGACATCCT-1", "d05.data2_TAAGCCAAGTCAGCCC-1", "d05.data2_TATCTTGTCGCTTGCT-1", "d05.data2_CAGCAATTCTAGCAAC-1", "d05.data2_GCTTCACTCGACCTAA-1", "d05.data2_CTAACCCCAAGAAATC-1", "d05.data2_TTCCGTGCAATTGCGT-1", "d05.data2_ATCATTCGTGCCGGTT-1", "d05.data2_GCTCAAACACGATTCA-1", "d05.data2_AGTGTTGCATACGCAT-1", "d05.data2_CTCAGAATCTACCCAC-1", "d05.data2_TAACTTCGTCATGGCC-1", "d05.data2_AGCTCAAAGTCTGGTT-1", "d05.data2_TAGAGTCTCCGGGACT-1", "d05.data2_TCGCTTGCACCCTCTA-1", "d05.data2_GGCACGTAGCTGGTGA-1", "d05.data2_TCTAACTGTTTACCAG-1", "d05.data2_ATGAGGGCAATCGCAT-1", "d05.data2_TGAGGAGCAGCTGCCA-1", "d05.data2_AACAGGGTCGCCGATG-1", "d05.data2_GTTACAGGTTAGTTCG-1", "d05.data2_CGCCATTGTCATGCAT-1", "d05.data2_CGGGCATCACAGCCTG-1", "d05.data2_AACTTCTTCAGCTTGA-1", "d05.data2_CATCCACTCCGCAAAT-1", "d05.data2_AGGGCTCTCTTGAGCA-1", "d05.data2_AACACACGTGTTCCTC-1", "d05.data2_CGTGCTTAGCGTGTTT-1", "d05.data2_CTTTCGGAGAATCGTA-1", "d05.data2_AATCGACTCAGACCGC-1", "d05.data2_CACGTGGGTTGCATTG-1", "d05.data2_CGTCAAAGTACGGATG-1", "d05.data2_ATCGATGCAACACACT-1", "d05.data2_GAGTTGTTCCACCTGT-1", "d05.data2_CATACAGCACTCGATA-1", "d05.data2_ACTTTCAAGGTGCAGT-1", "d05.data2_ATTCTTGTCAAGCCCG-1", "d05.data2_ACCTACCGTGTTCAGT-1", "d05.data2_AACCATGAGTTCCGTA-1", "d05.data2_ACCTGAAAGGTCTACT-1", "d05.data2_GTAACCAGTCCTATAG-1", "d05.data2_AGCGTATTCAGCTTCC-1", "d05.data2_TAAGCACCAGAACTCT-1", "d05.data2_ACGTCCTAGCACCGTC-1", "d05.data2_AAAGGGCAGTGCAAAT-1", "d05.data2_GCTCAAACAGACCAAG-1", "d05.data2_ACACGCGGTGATAGTA-1", "d05.data2_GACTTCCCAACCGTAT-1", "d05.data2_ACAGCCGGTCTCCTGT-1", "d05.data2_CAGCAGCAGCTGGCCT-1", "d05.data2_TCGAACACACCTGCTT-1", "d05.data2_GCTACAAGTAGCGTAG-1", "d05.data2_CTCACTGTCCGGTAGC-1", "d05.data2_ATCTTCATCCATGAGT-1", "d05.data2_CTATCTACACATGTTG-1", "d05.data2_CCTCAACGTGGCTTGC-1", "d05.data2_GAGTTTGAGTCCTGTA-1", "d05.data2_AGGCTGCCATGTAACC-1", "d05.data2_GTAGAAATCCGCGATG-1", "d05.data2_TCCCACAAGCACGTCC-1", "d05.data2_ACCCAAACAATGTCAC-1", "d05.data2_GATCATGCAGGAATAT-1", "d05.data2_AAGACAAAGGTTCATC-1", "d05.data2_GCCAACGTCTGAACGT-1", "d05.data2_GACCAATTCCTCATAT-1", "d05.data2_CCACACTTCCAGCACG-1", "d05.data2_TACAACGCACACCGAC-1", "d05.data2_ACCAAACGTTACTCAG-1", "d05.data2_ATAGGCTGTACAATAG-1", "d05.data2_CACTGAACAACTGAAA-1", "d05.data2_GGAGGTACACCTGAAT-1", "d05.data2_CGGGTCATCGAGCACC-1", "d05.data2_GACCTTCTCCAATCTT-1", "d05.data2_ATGGTTGGTACGAAAT-1", "d05.data2_TAGACTGGTATCATGC-1", "d1.data2_AGACACTCAAGAGAGA-1", "d1.data2_CACTAAGAGTAAGCAT-1", "d1.data2_TCGTGCTAGTACGAGC-1", "d1.data2_CGATGGCAGCTGCGAA-1", "d1.data2_TCTCTGGAGTTGTAGA-1", "d1.data2_TGTAACGAGCTTCGTA-1", "d1.data2_TCGTGCTAGAACAGGA-1", "d1.data2_TGAGCATTCGAGCCAC-1", "d1.data2_GTAGAAAGTTGGGTTT-1", "d1.data2_GTAGAAAAGCCTGACC-1", "d1.data2_TTCTGTACATGTAACC-1", "d1.data2_CTCAAGACATTGAAGA-1", "d1.data2_AGGAGGTGTATCGTGT-1", "d1.data2_CTTCCGAGTTGTGCAT-1", "d1.data2_TGCTCGTGTACTAACC-1", "d1.data2_GCTGCAGAGGTCGCCT-1", "d1.data2_GCCTGTTGTTGGTGTT-1", "d1.data2_TCCTGCACAGAAATCA-1", "d1.data2_GCATCGGAGCTGCGAA-1", "d1.data2_CTGAATGCAAGAGTGC-1", "d1.data2_GTGGGAATCCTGATAG-1", "d1.data2_GCTTCACAGGTAAACT-1", "d1.data2_AAGGAATTCTAGAACC-1", "d1.data2_ACATCGAAGTTTGTCG-1", "d1.data2_GACAGCCAGGCATCGA-1", "d1.data2_TAACGACCAGGTAGTG-1", "d1.data2_TTTATGCCACAACATC-1", "d1.data2_CGTGCTTCATAGATGA-1", "d1.data2_CAGTTAGGTGCATTAC-1", "d1.data2_TCCATGCCATTGGCAT-1", "d1.data2_TTCCACGAGCACTCGC-1", "d1.data2_ACAAAGATCCTCAGGG-1", "d1.data2_TAGGAGGCAATAACCC-1", "d1.data2_GATAGAACATTCGGGC-1", "d1.data2_ATCCCTGAGGTCCCTG-1", "d1.data2_GGTAACTGTCTGTGTA-1", "d1.data2_TCGGGTGGTGTGCCTG-1", "d1.data2_TTCTTCCAGGAGTATT-1", "d1.data2_GTATTGGAGTGCGACA-1", "d1.data2_AGGGTGAGTGATACAA-1", "d1.data2_CTCCATGCATCTGGGC-1", "d1.data2_TCCGAAAGTGCGGTAA-1", "d1.data2_AAAGTGAGTGTGTACT-1", "d1.data2_CTCAATTAGTCAGGGT-1", "d1.data2_TCGAAGTGTGGGATTG-1", "d1.data2_GAGGCAATCAAATGAG-1", "d1.data2_AACGAAAGTTTGGAGG-1", "d1.data2_CAAAGAATCGTAATGC-1", "d1.data2_CCTGTTGCACAGCCTG-1", "d1.data2_AGGCTGCCATGGCTAT-1", "d1.data2_GTAGAGGGTCTTTCTA-1", "d1.data2_CCCGGAAGTACCACGC-1", "d1.data2_AAGAACAGTATAGGAT-1", "d1.data2_TGCATCCGTCTGCGCA-1", "d1.data2_TGGAGGAAGTAACGAT-1", "d1.data2_GACGTTAAGTTGGGAC-1", "d1.data2_CTGTGGGTCTACCACC-1", "d1.data2_TTCAATCGTGAATAAC-1", "d1.data2_TCGCAGGAGATAGCTA-1", "d1.data2_TGACCCTCACACTGGC-1", "d1.data2_GTTGCTCCAAATACAG-1", "d1.data2_ACTTTCAAGCTGAAAT-1", "d1.data2_ACATTTCGTGGCTGAA-1", "d1.data2_CAACGATGTAGGTACG-1", "d1.data2_CCTCAGTGTGTTCCAA-1", "d1.data2_TCGATTTTCAACGCTA-1", "d1.data2_GTGTAACCACAGTATC-1", "d1.data2_GTAGCTAGTAGCCAGA-1", "d1.data2_AGGGTGAAGGCTAGCA-1", "d1.data2_AGAGCCCAGGAAGTCC-1", "d1.data2_CAATCGAAGTACCGGA-1", "d1.data2_ACGATGTCAGCCATTA-1", "d1.data2_TATGTTCTCTGGTGGC-1", "d1.data2_AGTAACCGTCGGCACT-1", "d1.data2_AGGAATAAGTCTCGTA-1", "d1.data2_TGGTGATGTGTGCTTA-1", "d1.data2_GAAGCGAGTATGAGAT-1", "d1.data2_CGAGGCTTCAAACGTC-1", "d1.data2_AAAGGGCGTGAGTCAG-1", "d1.data2_TGTTACTCATTGCCGG-1", "d1.data2_AGGTAGGGTAGCTGCC-1", "d1.data2_AGTGCCGGTTCGATTG-1", "d1.data2_GGGTGAATCACTTCTA-1", "d1.data2_CGCATGGAGTCAACAA-1", "d1.data2_AGTTCGACAGAAGCTG-1", "d1.data2_AAGACTCCACGACGCT-1", "d1.data2_GAATCACTCCAAGAGG-1", "d1.data2_AGGGTGAGTCTTCGAA-1", "d1.data2_TCTGTCGAGTCATGGG-1", "d1.data2_CGAGGAAGTCACCGAC-1", "d1.data2_TGAGGAGGTCACCACG-1", "d1.data2_CCTCAACCAATAGGAT-1", "d1.data2_CCCAACTGTATCGTTG-1", "d1.data2_GGAACCCGTGTTGATC-1", "d1.data2_ACTGTGAGTGAGATAT-1", "d1.data2_AGTAACCAGACGACTG-1", "d1.data2_TACCTCGTCTTGCAGA-1", "d1.data2_TCCATCGGTCTTGAAC-1", "d1.data2_GGTAGAGGTAGAGTTA-1", "d1.data2_CTGATCCTCTGGGATT-1", "d1.data2_CACAGGCGTCTGTTAG-1", "d1.data2_CCGCAAGAGCTTTCTT-1", "d1.data2_GTATTGGGTCCACTCT-1", "d1.data2_CGTCAAAAGAGCAGTC-1", "d1.data2_GTGCACGAGGTTTACC-1", "d1.data2_GGTGAAGCACGCGGTT-1", "d1.data2_CTTGAGATCCTCAGGG-1", "d1.data2_CTGTGAACAAGTTCCA-1", "d1.data2_AAACCCACAAACTGCT-1", "d1.data2_TCGTGCTAGCTCCGAC-1", "d1.data2_TCATTACTCGGACCAC-1", "d1.data2_CATGCCTAGACTACCT-1", "d1.data2_CTGCTCATCGGTGCAC-1", "d1.data2_TGGAGGAAGATGACCG-1", "d1.data2_GCGTGCAAGCGATTCT-1", "d1.data2_CCATAAGCAAGTTGGG-1", "d1.data2_AGTCTCCAGAATAGTC-1", "d1.data2_AATGGAAGTACAGAAT-1", "d1.data2_ATACCGAGTGAGTAGC-1", "d1.data2_GCGATCGGTGCCCACA-1", "d1.data2_AGTTCGAGTAGTGATA-1", "d1.data2_CGAATTGAGCCTCTGG-1", "d1.data2_GCTGAATAGGAGATAG-1", "d1.data2_AAGGTAACAATCTCTT-1", "d1.data2_ATTTCTGCAGTCAGCC-1", "d1.data2_TGCTGAACACTTTAGG-1", "d1.data2_TCGTCCAAGGTGCCAA-1", "d1.data2_GAAATGATCTAACACG-1", "d1.data2_CCCAACTAGAGTGACC-1", "d1.data2_TTACGTTTCGACACCG-1", "d1.data2_TTGGGCGAGTGAGTGC-1", "d1.data2_TCATATCTCCCAAGTA-1", "d1.data2_AGTGATCAGCTCCCTT-1", "d1.data2_GTTCATTAGGCGAAGG-1", "d1.data2_TCTCCGAGTTCTAAGC-1", "d1.data2_GAATAGACATTCTCCG-1", "d1.data2_AGAGCAGCAATAACGA-1", "d1.data2_ACATGCACACATATCG-1", "d1.data2_CGAGTGCCAACTGCTA-1", "d1.data2_TTTACCAGTTAGGAGC-1", "d1.data2_GAAACCTCACAATGCT-1", "d1.data2_TCTGTCGCACTGCTTC-1", "d1.data2_TAGGTTGGTTCTTAGG-1", "d1.data2_TAACGACAGGAAAGAC-1", "d1.data2_CTTCCGAGTTCCGGTG-1", "d1.data2_CAGATACAGGAAAGTG-1", "d1.data2_CTACTATGTTCAGGTT-1", "d1.data2_GCAGCCAAGAATCGAT-1", "d1.data2_TCATTGTCACTGAGGA-1", "d1.data2_TGTGCGGTCTGAGCAT-1", "d1.data2_TCAGTCCCATGATGCT-1", "d1.data2_GCGGAAAAGTCATGGG-1", "d1.data2_GTGATGTCAGTTAGGG-1", "d1.data2_TTTACTGCAGTTCACA-1", "d1.data2_AGGGTGACACTAGAGG-1", "d1.data2_CAGATCACAGAGAATT-1", "d1.data2_TCGGATAGTGACCGTC-1", "d1.data2_GGGTCTGGTCCGAAAG-1", "d1.data2_CCCTTAGGTTCGCGTG-1", "d1.data2_ACATCGATCACTGGGC-1", "d1.data2_GCCAACGAGCCTATTG-1", "d1.data2_TCACGGGAGTAGTGCG-1", "d1.data2_ATCAGGTAGCCGCTTG-1", "d1.data2_TAAGCGTTCGTAGCTA-1", "d1.data2_TTTACGTTCGGTAACT-1", "d1.data2_TTCTGTAAGTCTTCGA-1", "d1.data2_CATTGTTGTTTCGATG-1", "d1.data2_GATAGAACAATCAGCT-1", "d1.data2_AGACACTAGGAGCTGT-1", "d1.data2_GATGACTTCTAAGGAA-1", "d1.data2_CGATGCGTCACCATGA-1", "d1.data2_TAGGTTGCAACCGGAA-1", "d1.data2_TCGGGACTCGATACGT-1", "d1.data2_TCATTGTAGTATTGCC-1", "d1.data2_CAAGCTATCGAGAAAT-1", "d1.data2_GACGCTGCACACGGTC-1", "d1.data2_TGCGGCAAGAGGTTAT-1", "d1.data2_CTTGAGAGTTGACTGT-1", "d1.data2_CCGATCTTCCGGCAGT-1", "d1.data2_TCGATTTGTACAGCGA-1", "d1.data2_TTTATGCCAGCTCGGT-1", "d1.data2_AATGGAAAGGAAAGGT-1", "d1.data2_TACGTCCAGGTCATAA-1", "d1.data2_TCCGTGTGTCGTCAGC-1", "d1.data2_GCAGCTGCATGTGACT-1", "d1.data2_CAGCAGCTCTGGACCG-1", "d1.data2_TGGATGTGTTGCGGCT-1", "d1.data2_AACGAAATCGTGGACC-1", "d1.data2_AAAGGTAAGGTTAGTA-1", "d1.data2_CTTGAGATCCAGCCTT-1", "d1.data2_GTGGTTATCTGCGGAC-1", "d1.data2_CGTTAGAGTAGCGTAG-1", "d1.data2_CACGGGTTCTCCTGAC-1", "d1.data2_TGTAGACAGGATGTTA-1", "d1.data2_TCTCACGTCTCACTCG-1", "d1.data2_AGAACCTGTGATGAAT-1", "d1.data2_GCATCGGTCCGCGATG-1", "d1.data2_AGACCCGAGAAGGCTC-1", "d1.data2_GAAATGACAGCACAAG-1", "d1.data2_CCAATTTCAGTGGGTA-1", "d1.data2_GTGCAGCAGGTGGTTG-1", "d1.data2_GGTCTGGTCGAGCCAC-1", "d1.data2_TGTCAGACAGGTTCGC-1", "d1.data2_ACAAAGAAGGCTCTAT-1", "d1.data2_AGGCATTCATCAGTCA-1", "d1.data2_GGGAAGTGTCAGACTT-1", "d1.data2_GATGTTGCAATCTCTT-1", "d1.data2_AAGCATCTCAAGCCTA-1", "d1.data2_CGGACACCATGTGCCG-1", "d1.data2_GTTACAGAGTTCGGTT-1", "d1.data2_CAACGGCTCTTGATTC-1", "d1.data2_TGGGATTAGTCATCCA-1", "d1.data2_GTCGTTCGTCACTTAG-1", "d1.data2_CATTGAGGTTATCTGG-1", "d1.data2_AGTGACTCATGGGAAC-1", "d1.data2_ACTTATCTCAAGGACG-1", "d1.data2_AGACAGGAGGCAGGGA-1", "d1.data2_TCATGAGCAATTGCAC-1", "d1.data2_AAGTACCGTTTGCAGT-1", "d1.data2_GGGATCCAGACATCAA-1", "d1.data2_TTTGTTGAGCACTGGA-1", "d1.data2_CTAGACATCGTCGACG-1", "d1.data2_GACGCTGTCCGTACGG-1", "d1.data2_CATACTTCAAGTTCGT-1", "d1.data2_ACCAAACAGTTTCGGT-1", "d1.data2_AGCCAGCCATGACACT-1", "d1.data2_TGAGGAGGTTCGTTCC-1", "d1.data2_TGGAGGAGTCCTGGGT-1", "d1.data2_CAGATTGTCTGTTCAT-1", "d1.data2_CCAAGCGTCATTGTGG-1", "d1.data2_TATTCCATCCCAATAG-1", "d1.data2_TACGGGCAGCGGATCA-1", "d1.data2_TGCCGAGGTGGAACAC-1", "d1.data2_TTGAGTGCACATTACG-1", "d1.data2_ACTACGAAGGATACCG-1", "d1.data2_GTTCATTGTATCGCTA-1", "d1.data2_TTGAGTGCAGACCATT-1", "d1.data2_AGGACTTGTCATACCA-1", "d1.data2_TAAGCGTGTTCACGAT-1", "d1.data2_TACTTGTGTCTACAGT-1", "d1.data2_GGTCACGTCTGTGCAA-1", "d1.data2_GCTCAAATCACCTTGC-1", "d1.data2_TTCTTCCTCGGTCTGG-1", "d1.data2_TCAATCTAGGAAGTCC-1", "d1.data2_CGTGAATGTCCACACG-1", "d1.data2_GAATAGATCCAACACA-1", "d1.data2_TCATCATAGGCATCTT-1", "d1.data2_CGTGCTTCAATGTCAC-1", "d1.data2_GTCTTTACACTTCCTG-1", "d1.data2_AGGTCTATCGAACCTA-1", "d1.data2_GACGTTAGTGGTTTAC-1", "d1.data2_AATCGTGGTTAAGTCC-1", "d1.data2_AGGTGTTGTTTACTTC-1", "d1.data2_ACTGCAACAGCCGTCA-1", "d1.data2_CCTAAGAGTATGGAAT-1", "d1.data2_CGCCATTCAGCGACAA-1", "d1.data2_GAATCGTCATACCAGT-1", "d1.data2_GTGAGGAAGCCACAAG-1", "d1.data2_GGTGGCTCATGGTACT-1", "d1.data2_AGTGTTGCAGCGCGTT-1", "d1.data2_TTTCGATTCATACAGC-1", "d1.data2_GTGTTAGCATTCTTCA-1", "d1.data2_TACAACGAGTAGGTTA-1", "d1.data2_GATTCTTTCGGTGCAC-1", "d1.data2_ATGCGATCAAATGGAT-1", "d1.data2_TATCTTGAGGAACTAT-1", "d1.data2_TCAAGACGTGCATACT-1", "d1.data2_CGTTAGATCGCCTTTG-1", "d1.data2_CCCAACTAGTAAGAGG-1", "d1.data2_CTGCGAGTCATGGGAG-1", "d1.data2_CTTAGGAAGGAGTACC-1", "d1.data2_ATTATCCTCGCAAGAG-1", "d1.data2_GAAATGAAGACCGCCT-1", "d1.data2_CACTTCGAGCGATTCT-1", "d1.data2_CCCATTGAGGCTTAGG-1", "d1.data2_TAACCAGTCCCTTCCC-1", "d1.data2_ATCATTCAGAACGTGC-1", "d1.data2_ACTTCCGCATCCAACA-1", "d1.data2_CTGTATTGTCAAATCC-1", "d1.data2_TCTACATAGATCCCAT-1", "d1.data2_ATTACCTAGATCGACG-1", "d1.data2_CGTCAAAAGTTCATGC-1", "d1.data2_AGGTCATTCGCGGTAC-1", "d1.data2_CCGTGAGGTCGAAGCA-1", "d1.data2_CTCAACCAGCTAGATA-1", "d1.data2_GGAGATGAGTCAGAGC-1", "d1.data2_GCCAGCAGTTACGGAG-1", "d1.data2_TGAATGCCACCTTCGT-1", "d1.data2_CAGCAATAGCAAGCCA-1", "d1.data2_ACCTACCGTACTCGCG-1", "d1.data2_AGGGTTTTCATCGGGC-1", "d1.data2_TTCTCTCGTTAAGGAT-1", "d1.data2_GTATTGGCAATTGTGC-1", "d1.data2_AGAACAATCGACTCCT-1", "d1.data2_AGGAATAGTGTCCATA-1", "d1.data2_TGTTCATTCCTCATAT-1", "d1.data2_TCTTGCGGTCCCGCAA-1", "d1.data2_TTTGACTTCCTGTAGA-1", "d1.data2_GTCATCCGTTTGCCGG-1", "d1.data2_ACTTCGCTCGGTGTTA-1", "d1.data2_TGTAACGTCATGACAC-1", "d1.data2_ATCCGTCCACGTCGTG-1", "d1.data2_CGGGTCAGTCGAGCTC-1", "d1.data2_GCCAGTGAGGACGGAG-1", "d1.data2_GATAGCTAGTCCTACA-1", "d1.data2_AGATAGACACCTTCCA-1", "d1.data2_TGCAGGCCATGTTTGG-1", "d1.data2_AGCATCATCGTCAGAT-1", "d1.data2_GCACTAATCTACGCGG-1", "d1.data2_AACCCAAAGGGCAAGG-1", "d1.data2_AGGGTGAAGTTAACAG-1", "d1.data2_CTCTGGTAGGATTTAG-1", "d1.data2_GTGGAAGCACCGTGAC-1", "d1.data2_GTCACGGAGTCAAGCG-1", "d1.data2_TAAGCGTAGTCATAGA-1", "d1.data2_TAGGGTTAGAGTGGCT-1", "d1.data2_TCCACGTTCAGCCTCT-1", "d1.data2_CTATCTACAGCTAACT-1", "d1.data2_GGTGATTCATGAGAAT-1", "d1.data2_GAGATGGCATGCCATA-1", "d1.data2_TTTCACATCCTCGCAT-1", "d1.data2_CCGATGGTCGGCTTGG-1", "d1.data2_ATTGGGTGTGGTTCTA-1", "d1.data2_TGGGAAGTCTATGTGG-1", "d1.data2_TCAAGCAAGGAGGTTC-1", "d1.data2_TGGAGAGAGATTAGAC-1", "d1.data2_TCATTGTGTCCTACAA-1", "d1.data2_CAACCTCTCTATACGG-1", "d1.data2_CATGCGGCAGCTATTG-1", "d1.data2_AATCACGGTGCGACAA-1", "d1.data2_CCGGTGAAGAATAGTC-1", "d1.data2_GGTGTCGTCGGTTCAA-1", "d1.data2_CACCGTTTCCGCCTAT-1", "d1.data2_CAAAGAAAGACTTCAC-1", "d1.data2_TTTCGATTCGGTAACT-1", "d1.data2_AGATAGAGTGCGAACA-1", "d1.data2_ATGAAAGTCTCCAAGA-1", "d1.data2_GGCTTTCCAGAAGCGT-1", "d1.data2_GAAGGGTAGCGCTGCT-1", "d1.data2_TCCCATGAGACATGCG-1", "d1.data2_CCCTGATAGTTTGAGA-1", "d1.data2_ATCGTAGGTCACCGCA-1", "d1.data2_AGGCTGCCAACGATTC-1", "d1.data2_ATTTCACAGTAAACGT-1", "d1.data2_TCCATCGGTCATCCCT-1", "d1.data2_TCTATCAAGTCATCGT-1", "d1.data2_GCCAGGTAGTCATTGC-1", "d1.data2_GACCCTTTCGCGCCAA-1", "d1.data2_ACCTACCAGGTCACAG-1", "d1.data2_CGAGGCTCAAATTGCC-1", "d1.data2_GTTGAACAGTATGACA-1", "d1.data2_TTCATTGTCGCTGTCT-1", "d1.data2_CTACTATAGTCTGCGC-1", "d1.data2_GTCCCATTCCGACATA-1", "d1.data2_GTTCGCTAGCAAATCA-1", "d1.data2_ACGTACAAGCGGACAT-1", "d1.data2_TAAGCCAAGTGTACAA-1", "d1.data2_TGAGGTTCATCTCGTC-1", "d1.data2_GTGGAGAGTCGGCTAC-1", "d1.data2_GATGAGGCACCGCTAG-1", "d1.data2_TCTATCAGTGTCATGT-1", "d1.data2_TGCGATACAACACGAG-1", "d1.data2_GTTCCGTAGACTTAAG-1", "d1.data2_GCACATAGTCATAACC-1", "d1.data2_GCTACAACACATATGC-1", "d1.data2_TAACGACCATCTTTCA-1", "d1.data2_ACCTGAACATCATCTT-1", "d1.data2_CTACCTGCACGTACAT-1", "d1.data2_ACTCTCGCAGTCTCTC-1", "d1.data2_CGAGAAGAGTAGTCAA-1", "d1.data2_CACATGATCTGTTCAT-1", "d1.data2_AGTGACTCATAGAATG-1", "d1.data2_AATGCCAAGAAGCCAC-1", "d1.data2_AGTACCACACTATCGA-1", "d1.data2_ACTATGGGTTGCCATA-1", "d1.data2_TGTGCGGGTGTTGACT-1", "d1.data2_TGACCCTAGGCAGGGA-1", "d1.data2_ATCGGATAGGTCTGGA-1", "d1.data2_AGTCAACAGATCCCGC-1", "d1.data2_CGCCATTCAGCAGTAG-1", "d1.data2_GATCAGTAGGTTCATC-1", "d1.data2_TTACTGTCAGGCAATG-1", "d1.data2_TCACGCTAGTAGACCG-1", "d1.data2_GAGCTGCGTTGCGTAT-1", "d1.data2_GGGACTCTCGTTTACT-1", "d1.data2_TGTTACTAGCTCTGTA-1", "d1.data2_GTCCACTGTCATCCCT-1", "d1.data2_CTGATCCGTTACCTGA-1", "d1.data2_AGGGTCCTCAGTCAGT-1", "d1.data2_CTCAATTGTGACAACG-1", "d1.data2_GTGGTTAGTCCAAAGG-1", "d1.data2_AGTCTCCGTCTTGCTC-1", "d1.data2_AGTAGTCCACTTGACA-1", "d1.data2_GTCAAACAGTATGAGT-1", "d1.data2_TAGGAGGGTCAACATC-1", "d1.data2_CTGCCATTCGCAATGT-1", "d1.data2_GTTTACTAGTCACTAC-1", "d1.data2_AGGCTGCAGGTGATCG-1", "d1.data2_TATTGCTTCACCTCTG-1", "d1.data2_TGACAGTGTGACACGA-1", "d1.data2_AGGATCTAGCCTTGAT-1", "d1.data2_CATAAGCGTCAGACTT-1", "d1.data2_TGGGATTAGTGCTAGG-1", "d1.data2_CCACACTCAGGACAGT-1", "d1.data2_GTGCTTCTCATCGTAG-1", "d1.data2_CCACTTGGTGTCTCCT-1", "d1.data2_ACTTATCCATACTTTC-1", "d1.data2_TCGACCTTCTCCAATT-1", "d1.data2_GCCCAGAGTAAGCGGT-1", "d1.data2_AATGACCAGGAGAGTA-1", "d1.data2_TGTTACTAGAGCTGAC-1", "d1.data2_ATCAGGTCAACGTATC-1", "d1.data2_CCTCACATCATCGACA-1", "d1.data2_ATCGGCGGTAACGCGA-1", "d1.data2_CACCGTTTCGTTCGCT-1", "d1.data2_TCCACGTTCCTTATAC-1", "d1.data2_TCGGATAGTTGCTTGA-1", "d1.data2_GAGTGAGGTTCCACGG-1", "d1.data2_GGGCCATGTTCCGCAG-1", "d1.data2_ATCAGGTTCCATAAGC-1", "d1.data2_CACGGGTCAGTCTGGC-1", "d1.data2_CAGTTCCAGATCACTC-1", "d1.data2_TGATGGTCAGTAGTGG-1", "d1.data2_CAACGATCACGGTGTC-1", "d1.data2_AGCGTATGTACGAAAT-1", "d1.data2_GACCCAGGTTTCCCAC-1", "d1.data2_CAACGATAGACAGCTG-1", "d1.data2_GTCTGTCAGGCACTAG-1", "d1.data2_GTTGTGATCTAGCCTC-1", "d1.data2_CAATTTCCAGCATCTA-1", "d1.data2_ACCACAAAGACCATTC-1", "d1.data2_CTCGAGGTCCCATTTA-1", "d1.data2_AGTAGTCCACCGGCTA-1", "d1.data2_ACCAAACAGCGTCTGC-1", "d1.data2_TGGGATTCACCCTAGG-1", "d1.data2_AGTCACAAGAGTCGAC-1", "d1.data2_ACCCAAAGTACCTAGT-1", "d1.data2_CATCGTCAGTCGGCCT-1", "d1.data2_GCACATAGTGGCTTGC-1", "d1.data2_AACGGGATCGCCACTT-1", "d1.data2_TGCATGAGTCATTCCC-1", "d1.data2_CATAAGCTCATGCATG-1", "d1.data2_AGGTTGTCAAATACGA-1", "d1.data2_CCTTCAGGTGCCTGAC-1", "d1.data2_TATGTTCCATGGGCAA-1", "d1.data2_CAATACGTCCCGGTAG-1", "d1.data2_GTCTTTAAGCGTGAGT-1", "d1.data2_TGTTGGATCGTGCACG-1", "d1.data2_CTGTACCCACTTCAAG-1", "d1.data2_CTCTCGATCTCCGCAT-1", "d1.data2_AGGATCTGTTACGATC-1", "d1.data2_CTACGGGCAAATCAGA-1", "d1.data2_TCAGCAATCGACACTA-1", "d1.data2_TCAAGACTCTGTAACG-1", "d1.data2_GCCGTGATCGGTCTAA-1", "d1.data2_CTACCTGTCCACGGAC-1", "d1.data2_ATAGACCCAGGACAGT-1", "d1.data2_CAGGGCTGTAAGAACT-1", "d1.data2_CCTCCAAAGCACGTCC-1", "d1.data2_GTCTAGAAGGTTAAAC-1", "d1.data2_ATTCCCGCAATTCTCT-1", "d1.data2_CTCATGCTCGAGCCTG-1", "d1.data2_TCATTCAAGCTCATAC-1", "d1.data2_CATAAGCCAGGAACCA-1", "d1.data2_TGGGCTGTCTAGAACC-1", "d1.data2_AAGTGAATCTCTGAGA-1", "d1.data2_AGCTCAATCGCAGATT-1", "d1.data2_TAGATCGCAATTGCAC-1", "d1.data2_GATGAGGCAGCGTGCT-1", "d1.data2_TCAATCTGTCTTCTAT-1", "d1.data2_TCAGTGACATTCAGCA-1", "d1.data2_TCCGGGATCCATACTT-1", "d1.data2_ACCCAAAGTGATCGTT-1", "d1.data2_CCACGTTTCATGAGAA-1", "d1.data2_ATCCATTTCCCAGGAC-1", "d1.data2_GCGGATCAGGGAGTTC-1", "d1.data2_GTAGGAGTCTCTGCCA-1", "d1.data2_ATATCCTAGCACCAGA-1", "d1.data2_TCTGGCTGTCTACAGT-1", "d1.data2_GTGATGTCAAACTAGA-1", "d1.data2_CATGCAACAACACTAC-1", "d1.data2_CTCAATTCAAGAATAC-1", "d1.data2_AGTACCATCAAGCCCG-1", "d1.data2_GGTGAAGGTCGAAACG-1", "d1.data2_GACAGCCGTTACCTGA-1", "d1.data2_CAGCAGCAGTGTTGAA-1", "d1.data2_TGTTGAGAGCTGACCC-1", "d1.data2_CGGAGAACACTTGAAC-1", "d1.data2_GGGCTACAGTGATTCC-1", "d1.data2_TGCGACGCACTGGCCA-1", "d1.data2_TCAGCCTTCTACTGAG-1", "d1.data2_CATGCCTTCTGTAAGC-1", "d1.data2_CAAGACTCAACGATTC-1", "d1.data2_GGGACAAGTATCTTCT-1", "d1.data2_TCTGGCTGTTCACGAT-1", "d1.data2_CGCATGGCAGCTAACT-1", "d1.data2_CCCTCAAGTGCCTTCT-1", "d1.data2_TTGCTGCCACTCTCGT-1", "d1.data2_ACCCAAACAACCAACT-1", "d1.data2_TACCCACTCACATCAG-1", "d1.data2_CCTGCATAGGCTTAAA-1", "d1.data2_AGTTAGCCATAGGAGC-1", "d1.data2_TGTTCCGAGGCGCTCT-1", "d1.data2_CCTTCAGTCCATATGG-1", "d1.data2_CACTAAGTCGTAGAGG-1", "d1.data2_ATGAGTCAGCGACTTT-1", "d1.data2_CCCTCAATCCAACTAG-1", "d1.data2_GGAGAACAGTAACGTA-1", "d1.data2_ATTCACTTCCTTCTGG-1", "d1.data2_GTACAACTCTCTTCAA-1", "d1.data2_CACTGAAAGTATGTAG-1", "d1.data2_ATCCTATGTGATTCTG-1", "d1.data2_GACTTCCTCGTGAGAG-1", "d1.data2_GCGTGCACACAGTGTT-1", "d1.data2_AGACTCATCTGCCTGT-1", "d1.data2_CATGCGGTCGGTTGTA-1", "d1.data2_CATAAGCAGTTTCGAC-1", "d1.data2_TATCGCCCAATGACCT-1", "d1.data2_CTAGACATCTCCAAGA-1", "d1.data2_GTCCACTTCGGTCGGT-1", "d1.data2_CATCCGTAGGTTAAAC-1", "d1.data2_AATGGCTAGCAAATCA-1", "d1.data2_ACTGTCCAGGTTTACC-1", "d1.data2_ACAAGCTCAAAGGCGT-1", "d1.data2_CATGAGTCAACCTATG-1", "d1.data2_TACCCACTCGTGCGAC-1", "d1.data2_GATCACATCACCGGGT-1", "d1.data2_CACAGGCAGCCAGTAG-1", "d1.data2_CATAAGCTCATCACTT-1", "d1.data2_TCGTAGATCCATTTCA-1", "d1.data2_CCTCCTCCACGAAAGC-1", "d1.data2_CTCCCAAGTAAGTCAA-1", "d1.data2_TCACACCCAGATACCT-1", "d1.data2_CAACAGTAGTGCACTT-1", "d1.data2_GCACGGTTCAGGCGAA-1", "d1.data2_TCTCACGTCCTACAAG-1", "d1.data2_CCTCAACCACTTTATC-1", "d1.data2_CCTGCATGTGCCTTCT-1", "d1.data2_AGCCACGTCCTACAAG-1", "d1.data2_AACCATGGTGGCAACA-1", "d1.data2_ATTCCCGTCCATGCAA-1", "d1.data2_GAACACTCACAACATC-1", "d1.data2_AAGACTCCACGATAGG-1", "d1.data2_TTCGCTGGTTGTTGCA-1", "d1.data2_CCTTCAGGTGCCCTTT-1", "d1.data2_AACTTCTGTACGTGTT-1", "d1.data2_CTTCTAATCTCTTGCG-1", "d1.data2_TCCGGGATCACGATCA-1", "d1.data2_GTAACACAGAGTCGAC-1", "d1.data2_AACCTTTGTCCGCAGT-1", "d1.data2_GTGGTTAAGAATCCCT-1", "d1.data2_GTTACCCCAAACTAAG-1", "d1.data2_TTTCCTCTCTCCCAAC-1", "d1.data2_CCTCACAGTGGCTACC-1", "d15.data_AGACCATGTAAGATAC-1", "d15.data_TCAATTCGTTAAGACA-1", "d15.data_GTGAGGATCGCCTAGG-1", "d15.data_CTCCAACTCATCCTAT-1", "d15.data_TTCACGCGTCCCGGTA-1", "d15.data_TCACACCGTGGCGCTT-1", "d15.data_GGTAGAGTCACCTCGT-1", "d15.data_CGAGTGCGTCCAGCGT-1", "d15.data_CGAAGTTGTTCGGCTG-1", "d15.data_AAGCGAGTCTGCGTCT-1", "d15.data_AATGGCTTCTGACGCG-1", "d15.data_ATCGGCGCAACTGTGT-1", "d15.data_TCGTGCTTCCATGATG-1", "d15.data_CCGTGAGTCGCGTAGC-1", "d15.data_ACACTGATCCTGGCTT-1", "d15.data_TCGTGCTCAACGTTAC-1", "d15.data_TTTGACTCAGTCGGTC-1", "d15.data_TTCATGTAGAGTTGCG-1", "d15.data_ATGGATCAGCTAGAAT-1", "d15.data_AAGTGAAAGTTGTCGT-1", "d15.data_GTGACGCAGAGCATCG-1", "d15.data_TCACGGGGTAGGGAGG-1", "d15.data_TCTAACTTCTCTATGT-1", "d15.data_AGAGCAGGTTCGAAGG-1", "d15.data_GTCAAGTAGATGGTCG-1", "d15.data_TGCTTCGAGGGAGTTC-1", "d15.data_AGCGCTGCAGAGGTTG-1", "d15.data_TCGTGGGCAGTCGCTG-1", "d15.data_AGAGCAGTCGCATAGT-1", "d15.data_AAATGGAAGCGTCAAG-1", "d15.data_TGCTTGCTCTGGGTCG-1", "d15.data_AGAGAATAGCCTCCAG-1", "d15.data_TAGGTACTCAGTGGGA-1", "d15.data_CCGATCTCAGAAGCGT-1", "d15.data_TACTTCAAGAGTCGAC-1", "d15.data_GAGTGAGAGGTAACTA-1", "d15.data_GTAGGAGTCAGTGTTG-1", "d15.data_CTGTCGTGTCGACTTA-1", "d15.data_TCCGTGTGTGGGCTCT-1", "d15.data_TGTGATGTCGTGAGAG-1", "d15.data_TAGGTTGAGATCCCAT-1", "d15.data_TCGACCTCAGGACATG-1", "d15.data_ACTGATGAGGTTGGTG-1", "d15.data_ATTCGTTGTAGACTGG-1", "d15.data_GTCGTTCAGGCCTAGA-1", "d15.data_AGTCACAAGTGTAGAT-1", "d15.data_TATGTTCGTCTCAAGT-1", "d15.data_CCGTAGGAGGCAGTCA-1", "d15.data_TCGGGTGAGTCATCCA-1", "d15.data_TCGTGCTTCCATTTAC-1", "d15.data_CATGCAAGTAGAGCTG-1", "d15.data_GATCATGGTTGAGAGC-1", "d15.data_CCTCTCCTCGGTCGAC-1", "d15.data_ATTATCCAGAGTTGCG-1", "d15.data_TGACGCGTCGTAGTCA-1", "d15.data_CGAAGTTAGAGGTATT-1", "d15.data_AATGACCGTCGCTTGG-1", "d15.data_TCACACCCATGACGGA-1", "d15.data_TCAGCAAGTGAGTAGC-1", "d15.data_GAGCTGCGTCGCGTTG-1", "d15.data_AGAAGCGTCGTTCATT-1", "d15.data_TGGGCTGAGCGTTACT-1", "d15.data_TTTGACTCACATCCCT-1", "d15.data_ACTCTCGGTGAGCTCC-1", "d15.data_TATCTTGGTCCGGTGT-1", "d15.data_TGTGGCGAGTAACAGT-1", "d15.data_GCGATCGTCGCATAGT-1", "d15.data_TGGCGTGGTCGGTACC-1", "d15.data_CTGTGGGTCTCCAAGA-1", "d15.data_GGGTTATCAAGTGGGT-1", "d15.data_CCCTGATTCTAGATCG-1", "d15.data_TACGGGCTCAGGGATG-1", "d15.data_TCAAGCAGTCGGAAAC-1", "d15.data_GGGAGATTCAACCTTT-1", "d15.data_AGTGTTGGTTCTGAGT-1", "d15.data_GAGTCATGTAGCTAAA-1", "d15.data_TTGAGTGGTCCTTAAG-1", "d15.data_GGATCTAGTGAATGTA-1", "d15.data_GACCTTCGTTCCGCAG-1", "d15.data_CGTGAATAGTTGGAAT-1", "d15.data_AGAACAAAGGTAGCAC-1", "d15.data_TATTTCGTCAGCTGAT-1", "d15.data_GATGTTGTCTGGGAGA-1", "d15.data_TCTCAGCAGAAAGCGA-1", "d15.data_ATCCGTCGTTTGATCG-1", "d15.data_GTCAAGTAGGCGAAGG-1", "d15.data_GAAGGGTGTCGTGTTA-1", "d15.data_AGGCTGCGTAGAGCTG-1", "d15.data_AGAGAATGTGATAGAT-1", "d15.data_TGTTCATGTCACGACC-1", "d15.data_GTAACACTCGTGGCGT-1", "d15.data_CTTCCTTAGTCTCCTC-1", "d15.data_TACCGGGAGCACAAAT-1", "d15.data_ATCGTGAAGTCATGGG-1", "d15.data_GTCATGATCCTCACGT-1", "d15.data_TGTTTGTAGACGGAAA-1", "d15.data_CTGGACGAGCTTCATG-1", "d15.data_TCCATGCGTCGAGATG-1", "d15.data_TTCAGGAGTGCACGCT-1", "d15.data_TCAGTGAAGGCAGTCA-1", "d15.data_GTCCTCACACGCCAGT-1", "d15.data_AGACTCAAGTTCATCG-1", "d15.data_GACACGCCACTCTAGA-1", "d15.data_TGGTGATAGTCGTCTA-1", "d15.data_GTAGTACAGTGCACAG-1", "d15.data_ATTGGGTAGGTTAGTA-1", "d15.data_AGCGATTAGTGTTCAC-1", "d15.data_AGCCAGCTCGTGTGGC-1", "d15.data_CGTGTCTGTAGGAAAG-1", "d15.data_GGTGTTAGTGTTAAAG-1", "d15.data_GTGCTTCCAGTCGAGA-1", "d15.data_CAGCCAGAGAGCGACT-1", "d15.data_CCATCACCAAGAGCTG-1", "d15.data_TCCACGTCATGGGAAC-1", "d15.data_TCATCCGAGAGCTGAC-1", "d15.data_GGGCGTTAGTGCAAAT-1", "d15.data_GGCGTCACAGGAACCA-1", "d15.data_ACGATGTAGCACACCC-1", "d15.data_TCGCTTGCAGCAGTGA-1", "d15.data_GACGCTGTCCTAGAGT-1", "d15.data_GACTGATAGTCAGCGA-1", "d15.data_CCATCACCATAGGAGC-1", "d15.data_GTCGTTCCATCATTTC-1", "d15.data_GCTTCACAGACGACGT-1", "d15.data_ATGAGTCAGTCTCTGA-1", "d15.data_CTAAGTGTCAGGAAAT-1", "d15.data_GGAGGTACACCAGTAT-1", "d15.data_GGCTTGGAGGCGTTAG-1", "d15.data_CATTCATCAGCGACCT-1", "d15.data_GCCAGTGTCGTTCGCT-1", "d15.data_TCTTTGAGTACAGGTG-1", "d15.data_GAGGCAAAGCCATTTG-1", "d15.data_CTACTATGTTGCGTAT-1", "d15.data_GTTACCCAGATACATG-1", "d15.data_TTTACTGAGCTTAAGA-1", "d15.data_GTCTCACGTAGGAAAG-1", "d15.data_CCTTCAGCAACGTATC-1", "d15.data_GCGTGCAGTCCTCCTA-1", "d15.data_AACGGGAGTGTATTCG-1", "d15.data_TCGACCTAGACGTCCC-1", "d15.data_GCTGCAGGTTGTCTAG-1", "d15.data_TCGGGCACACAATGTC-1", "d15.data_GATCCCTAGGCAGTCA-1", "d15.data_GTAGAAAAGTTAGTAG-1", "d15.data_AAGCGAGTCGTTCTAT-1", "d15.data_TGGGCGTCATCTTCGC-1", "d15.data_GTTCCGTGTTTATGCG-1", "d15.data_TAGGTTGGTTATGGTC-1", "d15.data_TTAGGCATCGCCTTGT-1", "d15.data_AGACTCAGTGAAAGTT-1", "d15.data_TTGTGGAGTACCAGAG-1", "d15.data_GACATCAAGCGCCGTT-1", "d15.data_GACGTTAGTCTCGGGT-1", "d15.data_GGAGAACAGGTGCCAA-1", "d15.data_ACTTCCGTCGAATCCA-1", "d15.data_TCATACTGTCTTCATT-1", "d15.data_TGTTGGACAGAGAAAG-1", "d15.data_ACGTAACGTATGGTAA-1", "d15.data_GAAGGACCAGCCCAGT-1", "d15.data_CGATCGGCATGACCCG-1", "d15.data_CCGTAGGAGGAACGAA-1", "d15.data_GATCACACAAGCAGGT-1", "d15.data_GATAGAATCGCCGAGT-1", "d15.data_ACAGAAATCTCCGTGT-1", "d15.data_ACTTATCGTGTCGATT-1", "d15.data_CTGATCCTCGAGAGAC-1", "d15.data_TAAGCGTTCGTCGGGT-1", "d15.data_GTGGCGTAGCCTTCTC-1", "d15.data_TATCGCCGTGTGCCTG-1", "d15.data_TATTCCATCGAACGCC-1", "d15.data_AGGGTCCAGGTCGTGA-1", "d15.data_GTCTCACCACAACGTT-1", "d15.data_TGAGCGCGTACCGGAA-1", "d15.data_AGAGCAGTCGGAATTC-1", "d15.data_CAATTTCTCATGGTAC-1", "d15.data_GAAGAATGTGACTCTA-1", "d15.data_TCATGGAGTGAACCGA-1", "d15.data_ATCATTCAGCTCGCAC-1", "d15.data_CGGAATTTCCTCAGGG-1", "d15.data_GAAGAATGTCTCACAA-1", "d15.data_GGTTAACCACTGCACG-1", "d15.data_TATCCTATCATTCTTG-1", "d15.data_ACTGTCCGTGATGAAT-1", "d15.data_TAAGCCAGTTTGATCG-1", "d15.data_CACGGGTAGCAGTACG-1", "d15.data_ATTCCTAGTTGTGGAG-1", "d15.data_GCACGGTCACACGGTC-1", "d15.data_AGCTTCCAGGTGATCG-1", "d15.data_GGGTCTGGTCTAGGCC-1", "d15.data_TTAGTCTTCTTACCAT-1", "d15.data_GTCAAGTCATCTTCGC-1", "d15.data_CTGAGGCAGAACAGGA-1", "d15.data_TTCATTGGTAGAGGAA-1", "d15.data_CTTCTCTGTCGAATTC-1", "d15.data_GCCAACGCACTAAACC-1", "d15.data_AGGATAACATTCGATG-1", "d15.data_TTCCTTCGTTTGATCG-1", "d15.data_TTTCGATAGAGAGTGA-1", "d15.data_GTTAGTGGTAACAAGT-1", "d15.data_ATGAGGGAGCTAGATA-1", "d15.data_ATGTCTTGTTTCGATG-1", "d15.data_GAATCGTTCGTAGAGG-1", "d15.data_TCTTCCTCACAAATCC-1", "d15.data_AGGGTTTGTTGTTGAC-1", "d15.data_GGGTGTCCATTGAGGG-1", "d15.data_ATAGGCTCATACAGGG-1", "d15.data_GAGCTGCTCGTAGTGT-1", "d15.data_GAGGGTATCTGGCTGG-1", "d15.data_CGCCAGATCGGAAACG-1", "d15.data_ACATCCCTCAAGGACG-1", "d15.data_AGAGCCCTCGTTAGAC-1", "d15.data_CAAGAGGTCAGACAAA-1", "d15.data_GACAGCCCAGGTGGAT-1", "d15.data_TGGATCACACAAGTGG-1", "d15.data_GGAGCAACAATTTCTC-1", "d15.data_AATCGTGAGATGGCGT-1", "d15.data_TACTTGTGTATCGTTG-1", "d15.data_CGATGGCTCGCTCCTA-1", "d15.data_TCTCTGGAGATTGCGG-1", "d15.data_CATACAGAGCCGTAAG-1", "d15.data_AGACTCAGTCGGTAAG-1", "d15.data_ACTATTCGTAGTCGTT-1", "d15.data_CATCGGGTCGATGCTA-1", "d15.data_TGGGCGTTCGTTCCTG-1", "d15.data_AAGTCGTGTCAGTCTA-1", "d15.data_TTTGGTTAGATCCCAT-1", "d15.data_GCACGTGGTCGGCTAC-1", "d15.data_TTGATGGTCGGAGCAA-1", "d15.data_CTGCAGGGTTGCCTAA-1", "d15.data_TATATCCAGGTGAGCT-1", "d15.data_TAGATCGCATTCAGGT-1", "d15.data_ATCACAGAGCAGGCAT-1", "d15.data_CTACATTCAGACACAG-1", "d15.data_CCTATCGGTACATTGC-1", "d15.data_GTCGTTCTCCATTGCC-1", "d15.data_GTCGTTCCATCGTGCG-1", "d15.data_AATCACGTCGTAGAGG-1", "d15.data_ATGGGTTAGGGATCAC-1", "d15.data_CTGTGGGGTATGGGAC-1", "d15.data_TTGGGATGTATAATGG-1", "d15.data_CTTTCAACAGTCGCTG-1", "d15.data_GGGATGAGTTAGAAGT-1", "d15.data_AGTTAGCGTGTTGATC-1", "d15.data_TTGCATTTCCATGCAA-1", "d15.data_CAGGGCTAGCAGCAGT-1", "d15.data_AATCGACAGCGCTGAA-1", "d15.data_GTCTAGACAACATCGT-1", "d15.data_TACCGAAGTGGAAGTC-1", "d15.data_CAGTGCGGTCAAGCCC-1", "d15.data_TTGCCTGTCAAGCGTT-1", "d15.data_CATGGTAGTTGCGGAA-1", "d15.data_CATTTCATCGGTCAGC-1", "d15.data_GTGTCCTGTTTCGTAG-1", "d15.data_CCCTTAGTCTCGACGG-1", "d15.data_GATTCGACACTACCCT-1", "d15.data_ATCAGGTTCTGTACAG-1", "d15.data_AAACGCTGTGGATGAC-1", "d15.data_AGGCATTAGGCTATCT-1", "d15.data_CGGGTGTGTGGCTACC-1", "d15.data_GAGTGAGAGCAGAAAG-1", "d15.data_GTCAGCGGTGCTCGTG-1", "d15.data_CATACAGCAATCGCAT-1", "d15.data_AACAGGGAGATCCCAT-1", "d15.data_TGTGTGATCTCTGCCA-1", "d15.data_ATGCCTCGTAAGATAC-1", "d15.data_CATGCTCGTGCATGAG-1", "d15.data_ATCACGACACGACTAT-1", "d15.data_CTTGATTGTTGTGCAT-1", "d15.data_CTATAGGGTGATGAAT-1", "d15.data_AGTAGCTAGTGATAAC-1", "d15.data_CCTCCTCTCGAAACAA-1", "d15.data_AATGAAGGTTTAGAGA-1", "d15.data_GAATCGTGTGTGAGCA-1", "d15.data_TCAAGTGCACCAGACC-1", "d15.data_ACGTCCTGTCTTGCGG-1", "d15.data_GTCAGCGTCACTGGTA-1", "d15.data_TGTGAGTAGGAACGCT-1", "d15.data_TCCGAAAAGTCGAGGT-1", "d15.data_CATGAGTGTTAATGAG-1", "d15.data_TACCGAAGTCATCAGT-1", "d15.data_CGTTCTGAGAAGCGAA-1", "d15.data_TGGTACACAATGTCAC-1", "d15.data_TGCTTGCCAAATGGAT-1", "d15.data_GTGGAAGTCGACGAGA-1", "d15.data_ACGTAACCAGCTCTGG-1", "d15.data_GATGGAGCATGCCGAC-1", "d15.data_TGGGCTGTCATGCCAA-1", "d15.data_TAACACGTCTTAGCAG-1", "d15.data_AGCTACACATAGTCAC-1", "d15.data_CCTTCAGTCTCGTTTA-1", "d15.data_TAGGAGGGTTCGGACC-1", "d15.data_TTTGTTGGTGACTCGC-1", "d15.data_ATGATCGGTAGCTGAG-1", "d15.data_ACTACGAGTCCGTACG-1", "d15.data_GGTGAAGAGGCACCAA-1", "d15.data_TGTTCCGCAGAGTCAG-1", "d15.data_ACCAAACAGTGTACCT-1", "d15.data_GTGCGTGCAGCGAACA-1", "d15.data_CCTGTTGTCTGCTTAT-1", "d15.data_CGGAACCCACAGCTTA-1", "d15.data_GCCCGAACACATTACG-1", "d15.data_TGCGATAAGCTGAGTG-1", "d15.data_CTTAGGACAGCGTGAA-1", "d15.data_CAATCGAAGCGACCCT-1", "d15.data_ATGTCCCGTCGAACGA-1", "d15.data_GTGCGTGGTTACAGCT-1", "d15.data_AGGAGGTCAGGCTACC-1", "d15.data_GAATCGTGTGGACAGT-1", "d15.data_ACGTACATCGTGGCTG-1", "d15.data_GAGACTTCACGGTAGA-1", "d15.data_TATTGGGCAAGCTGTT-1", "d15.data_TCAAGCACAGGAGGTT-1", "d15.data_ATAGGCTCAAATTGGA-1", "d15.data_CTTGATTTCATCGTAG-1", "d15.data_GCCGTGAGTAATGCTC-1", "d15.data_TCGCTTGAGATGATTG-1", "d15.data_CCTCATGTCCGTCCTA-1", "d15.data_AGGACTTTCTCCGTGT-1", "d15.data_GTTGTCCGTTAAGAAC-1", "d15.data_TTCCGGTTCGACTCCT-1", "d15.data_CATCCCAAGTGGAAGA-1", "d15.data_CAGATACGTGAGGAAA-1", "d15.data_CATCCGTGTGTCCGGT-1", "d15.data_GACGCTGGTCTGATCA-1", "d15.data_AGGGTGACATTACGGT-1", "d15.data_AGCATCAGTTAGGCTT-1", "d15.data_TTTCCTCCAAGAGTAT-1", "d15.data_CAGGTATGTCTTTCTA-1", "d15.data_TCAGGTATCAACACCA-1", "d15.data_TCGCACTCAGAACTCT-1", "d15.data_CTAACTTAGCTTGTGT-1", "d15.data_ATTTCTGCACTCATAG-1", "d15.data_ACACTGATCGTTGTAG-1", "d15.data_GGGATCCTCTAGAACC-1", "d15.data_TTGCCTGGTTAAAGTG-1", "d15.data_TGGCGTGGTGGTACAG-1", "d15.data_ACCTGAACAGTAGAGC-1", "d15.data_TCTCAGCCAATGCAGG-1", "d15.data_GGCTGTGAGCCTGTGC-1", "d15.data_GCTTTCGAGGAAAGGT-1", "d15.data_GGGACCTCAGCCGGTT-1", "d15.data_CTACATTCAAGTCGTT-1", "d15.data_GTAAGTCCAGGTCAGA-1", "d15.data_GAAGTAACACTGTGTA-1", "d15.data_CCCGGAAAGACCATTC-1", "d15.data_TGGGAAGAGACTTAAG-1", "d15.data_GTGTCCTGTCACGACC-1", "d15.data_CTAACTTAGTACCCTA-1", "d15.data_GAGGGATTCCAAGAGG-1", "d15.data_AGTTCCCGTAGTACGG-1", "d15.data_ACGATGTGTAAGGTCG-1", "d15.data_TGGGATTGTAGAGTTA-1", "d15.data_AATTTCCAGTCTTGGT-1", "d15.data_CACGGGTCAGTCAGCC-1", "d15.data_ACGGAAGAGATGCTGG-1", "d15.data_ACTGATGAGTCAACAA-1", "d15.data_TCTAACTTCCCATGGG-1", "d15.data_TTCAATCTCTGTAAGC-1", "d15.data_GACCGTGCAAGAAACT-1", "d15.data_TTTACTGTCTCGAACA-1", "d15.data_TCAGTCCAGATCGCCC-1", "d15.data_GGTAATCCATGATGCT-1", "d15.data_CTTACCGCATGTGACT-1", "d15.data_TCGCACTTCCTGGGAC-1", "d15.data_ATTCCCGGTGCAGTGA-1", "d15.data_GAGGGTACATACACCA-1", "d15.data_GCCAACGGTTGCAAGG-1", "d15.data_TCGTCCAAGGGCAGTT-1", "d15.data_TAGGTACAGCGTGTCC-1", "d15.data_TGTTCCGAGCCTGAAG-1", "d15.data_TCGAACAGTTGCAAGG-1", "d15.data_CCACTTGAGGAAAGAC-1", "d15.data_GTCCCATTCTATTGTC-1", "d15.data_TGAGCATGTTAGAGAT-1", "d15.data_GCTCAAAAGAGCAAGA-1", "d15.data_GTGGTTAGTGTAACGG-1", "d15.data_AGGGTTTCACACACTA-1", "d15.data_GCGTTTCGTGACGTCC-1", "d15.data_TGTCCACTCCAGCAAT-1", "d15.data_ATGAGTCCAGACAAAT-1", "d15.data_ATGCCTCCACGCAAAG-1", "d15.data_CAGCAATGTGACAGGT-1", "d15.data_GTTCTATCAGAGCCCT-1", "d15.data_TCTAACTAGATGAAGG-1", "d15.data_AACAAGACATCCGGCA-1", "d15.data_CCGAACGCAGTACTAC-1", "d15.data_TAATTCCGTATCGTTG-1", "d15.data_TGCTGAACAAGTCGTT-1", "d15.data_GTCTGTCTCAGTGTGT-1", "d15.data_GGGACAAGTTTCGTAG-1", "d15.data_CTCAGGGAGCCATTTG-1", "d15.data_GATTGGTTCGTCACCT-1", "d15.data_CTCATGCTCAATCCAG-1", "d15.data_GTTGTAGAGATCGCCC-1", "d15.data_CGCAGGTGTGCTAGCC-1", "d15.data_TCATGAGGTCATATGC-1", "d15.data_GTAATCGCAGGTCCGT-1", "d15.data_AATGAAGGTTGGGACA-1", "d15.data_AGGATCTCAATACGAA-1", "d15.data_GGGTCTGTCCGTTGAA-1", "d15.data_GTAGGAGGTGATTCAC-1", "d15.data_GTGGAGAGTCAACACT-1", "d15.data_TACTTCAGTACAACGG-1", "d15.data_ATCGTGAAGTCCCGGT-1", "d15.data_GTGGCGTAGTCGAAAT-1", "d15.data_ACGATGTGTGCGCTCA-1", "d15.data_TCCTCCCTCTAAGAAG-1", "d15.data_CGTAAGTCACGGGTAA-1", "d15.data_CGCAGGTCAGGTGAGT-1", "d15.data_GCAGTTAAGGTCACAG-1", "d15.data_AGGGAGTTCAGTGCGC-1", "d15.data_CATGAGTCATTGCCTC-1", "d15.data_GTGAGGATCTGAGGTT-1", "d15.data_ATACCTTTCGTAGCCG-1", "d15.data_GGAATGGGTATCAGCT-1", "d15.data_TGAGGAGCAAGAAACT-1", "d15.data_ACGTAGTAGAGTGACC-1", "d15.data_TTTGTTGAGGAGGGTG-1", "d15.data_TAGTGCAAGCCACCGT-1", "d15.data_CACACAAGTGTACAGG-1", "d15.data_GCCTGTTCAGCGTATT-1", "d15.data_GGAAGTGTCATTTGGG-1", "d15.data_TGGAGGAGTCCACTTC-1", "d15.data_AGGGCCTTCTGGGCGT-1", "d15.data_GGTGTTATCATTTGGG-1", "d15.data_GCCAGTGGTGTACGCC-1", "d15.data_GTTCGCTCAGAAATTG-1", "d15.data_ATCGCCTGTGTGCCTG-1", "d15.data_TTTGGAGAGCGACTAG-1", "d15.data_TCGCAGGTCCTCTAGC-1", "d15.data_TTAGGGTCACCTGAAT-1", "d15.data_CTCTCAGCAGTATTCG-1", "d15.data_TCTCCGAAGCTCGGCT-1", "d15.data_CATGAGTCAGAAGTTA-1", "d15.data_AGGAAATTCGTCGATA-1", "d15.data_TTAATCCCATAATCGC-1", "d15.data_TAAGCGTAGTATCTGC-1", "d15.data_CGTCAAACATTCAGGT-1", "d15.data_AACCACAGTAGTTAGA-1", "d15.data_CGAGGCTAGGTTGAGC-1", "d15.data_TACGTCCGTAGCACAG-1", "d15.data_AGACAGGGTGTAAATG-1", "d15.data_CGGGCATCAGAGTGTG-1", "d15.data_GCGGAAAGTCGGATTT-1", "d15.data_AACAAAGAGATAGCTA-1", "d15.data_TTAGTCTAGAGGTGCT-1", "d15.data_GTCTTTAGTGGTACAG-1", "d15.data_AATGGAAAGGGTCTTT-1", "d15.data_GAGGCAATCGTGCGAC-1", "d15.data_ATGGATCGTGCATGAG-1", "d15.data_TGTTGGAAGTGGAAGA-1", "d15.data_GCAACCGCAGTGTACT-1", "d15.data_TCCGGGAGTAAGGTCG-1", "d15.data_TCAGCAAAGATCGCTT-1", "d15.data_GTGCTTCCACGGTAGA-1", "d15.data_CGAGTTACAGAGAAAG-1", "d15.data_ATTCATCGTTAAAGTG-1", "d15.data_ACCCTTGTCTACGGTA-1", "d15.data_ACTTTGTAGCGTGTCC-1", "d15.data_GAAACCTGTCCCTGAG-1", "d15.data_TGCTCCAGTTCAGCGC-1", "d15.data_CTGGACGAGAAGCGCT-1", "d15.data_CACGAATCACAGTGAG-1", "d15.data_CGAGGAAAGATAGTCA-1", "d15.data_GTGTTCCCATTGTCGA-1", "d15.data_GCGGAAAAGTATCTGC-1", "d15.data_CTGTAGAAGTGACACG-1", "d15.data_AGTCACAAGTGGAATT-1", "d15.data_GGAGAACTCCAGCCTT-1", "d15.data_CGTTGGGTCCTAACAG-1", "d15.data_AGAAGCGGTGACACGA-1", "d15.data_AGCTTCCAGTCTGGAG-1", "d15.data_GGAGGTACATAGCACT-1", "d15.data_GGCTTGGTCCACTTTA-1", "d15.data_TTCCTTCTCTTGGCTC-1", "d15.data_TGCGGCATCAGGACGA-1", "d15.data_CATAGACCAAATACAG-1", "d15.data_AGAGAGCAGACCATGG-1", "d15.data_CTATAGGAGCTACTGT-1", "d15.data_CCTGTTGGTAGATTGA-1", "d15.data_CGTTGGGGTTTGAAAG-1", "d15.data_ACATCGAAGGAACTAT-1", "d15.data_TCGGATATCGGCCCAA-1", "d15.data_GAATAGAGTTGTGGAG-1", "d15.data_TGTAGACAGGGAGTTC-1", "d15.data_AGAAGTAGTCGCACAC-1", "d15.data_CACAACATCTAACGGT-1", "d15.data_ACGATCAAGTGGATTA-1", "d15.data_TCGTGCTCACAACGAG-1", "d15.data_CAGTTCCGTAGGCAGT-1", "d15.data_TAATCTCAGACTGTTC-1", "d15.data_AGCTCAATCAACTGAC-1", "d15.data_GCATGATAGGCCACTC-1", "d15.data_CATGCGGAGCAGTACG-1", "d15.data_TGTTCTAGTGACCTGC-1", "d15.data_TGGTAGTTCAGACATC-1", "d15.data_TCAAGTGAGGGCGAAG-1", "d15.data_CGAGGAATCACTTGGA-1", "d15.data_TTCCTTCGTTGCTAGT-1", "d15.data_GAAACCTAGGGCGAAG-1", "d15.data_AACAGGGAGATGCAGC-1", "d15.data_GTTTACTAGGTCCCGT-1", "d15.data_TGTTTGTGTAGCCCTG-1", "d15.data_ATTACTCGTATGACAA-1", "d15.data_AGCGATTAGCATCAGG-1", "d15.data_TGAGTCATCAATCGGT-1", "d15.data_AATAGAGTCGCATTAG-1", "d15.data_TAGACTGGTTGACGGA-1", "d15.data_TCCACGTTCAACCGAT-1", "d15.data_GATGAGGGTTGTAGCT-1", "d15.data_CGACAGCGTCTCAGAT-1", "d15.data_CATCGTCTCGAGAATA-1", "d15.data_ATTCACTCAGTCGGAA-1", "d15.data_TTGATGGCAGAACGCA-1", "d15.data_AGGATAAAGCATCCTA-1", "d15.data_CTCAGTCTCGGTTAGT-1", "d15.data_TTCAATCTCAAATGCC-1", "d15.data_TTTACCAAGCCTGAGA-1", "d15.data_TTCCTAAGTCTGTAGT-1", "d15.data_CATCGTCGTTGCTAGT-1", "d15.data_TGGAGAGTCAGGGATG-1", "d15.data_AGGAGGTTCTCTCAAT-1", "d15.data_ATGAAAGAGGACGCAT-1", "d15.data_AAGGAATAGGATACCG-1", "d15.data_GAGGCAAAGTACAGAT-1", "d15.data_GTCATTTGTAGTTCCA-1", "d15.data_GGGTCACAGATTGATG-1", "d15.data_CCGATCTGTATCAAGA-1", "d15.data_TTTACGTCAACGGCTC-1", "d15.data_TCCTGCAGTGGGCTTC-1", "d15.data_GTCGTAACACCTGCAG-1", "d15.data_TAGCACAGTTGGGCCT-1", "d15.data_GCACGTGCACTGAGTT-1", "d15.data_TAAGTCGCACTCCACT-1", "d15.data_CAGATACAGCAGCAGT-1", "d15.data_GGCACGTTCGGACTGC-1", "d15.data_GTGCAGCCAGACACAG-1", "d15.data_GTTGAACCATGGCCCA-1", "d15.data_TTGAGTGTCGCATGAT-1", "d15.data_CGGGACTCACGCTTAA-1", "d15.data_GTCAAGTAGGCATCGA-1", "d15.data_AAGCCATGTACAGTTC-1", "d15.data_TTGGTTTAGCAAACAT-1", "d15.data_TACCGAACAAGCAATA-1", "d15.data_TCCGAAATCTCGCTTG-1", "d15.data_TTCGGTCAGGTATAGT-1", "d15.data_GTGAGCCGTTATAGAG-1", "d15.data_CAGTTAGAGAACAGGA-1", "d15.data_AACCTTTTCACACCGG-1", "d15.data_ATCGGCGGTGTTGATC-1", "d15.data_ACCAAACTCATTTGCT-1", "d15.data_CTTTCGGAGGCCCACT-1", "d15.data_TCATTTGGTGGTAACG-1", "d15.data_TAGCACAGTTAGCGGA-1", "d15.data_TGCGGCACACGGATCC-1", "d15.data_ACAACCAAGTGGCAGT-1", "d15.data_TTTCAGTTCTCGTGAA-1", "d15.data_GCTCAAATCGTGCAGC-1", "d15.data_AGGCATTCAATGAACA-1", "d15.data_CATCCGTCAGATCCTA-1", "d15.data_CATCGTCGTTCCTAAG-1", "d15.data_CGTGTCTGTTACACTG-1", "d15.data_TGCGGGTGTCCTACGG-1", "d15.data_AAATGGAGTTTCGGCG-1", "d15.data_TACGGGCTCACCATGA-1", "d15.data_GATCGTATCAAATGCC-1", "d15.data_TCAATTCAGAACTCCT-1", "d15.data_ACGATGTGTTAACAGA-1", "d15.data_CGAGTGCGTTGTGGAG-1", "d15.data_GTGCACGCACTGTGTA-1", "d15.data_GTCTACCGTCGAGCTC-1", "d15.data_TCAGTGAGTGTTCCTC-1", "d15.data_GCAACATTCCAACTAG-1", "d15.data_CCTGCATCACAGCTTA-1", "d15.data_TGAGGTTGTTCTCACC-1", "d15.data_GTTACCCTCCTCAGAA-1", "d15.data_AGTCAACGTGCAATAA-1", "d15.data_CGGAACCGTTACGGAG-1", "d15.data_AGCGCTGAGGTTTGAA-1", "d15.data_GAAGGGTTCGATACAC-1", "d15.data_CTTCTCTTCAACTACG-1", "d15.data_GAGTGTTAGGATTACA-1", "d15.data_CGCATGGAGCAGGCTA-1", "d15.data_AGTGACTAGCATCAAA-1", "d15.data_TCAGCAAGTTGATCGT-1", "d15.data_AGTAACCGTGATTCAC-1", "d15.data_CATTCTAGTCAGACGA-1", "d15.data_CGATGGCGTAGGCAAC-1", "d15.data_GGGTTATAGTTACGGG-1", "d15.data_AGCTACAGTTGCATGT-1", "d15.data_TCATTTGGTCTTAGTG-1", "d15.data_CTTCTAAAGAAGTATC-1", "d15.data_CTATCTACAAGTGCAG-1", "d15.data_TCATGGAGTCTGTGTA-1", "d15.data_TAACCAGGTGACCGTC-1", "d15.data_AGAGAGCAGCAACCAG-1", "d15.data_CATCCACTCAGAGCAG-1", "d15.data_TCTGGCTCAACGATCT-1", "d15.data_TCAGGGCCACGGGCTT-1", "d15.data_CGAAGGACATACCAGT-1", "d15.data_GCCGATGCAAGTGGCA-1", "d15.data_CACTGGGGTGTTGAGG-1", "d15.data_GCCCGAAGTATTTCCT-1", "d15.data_CGTTGGGTCCATACAG-1", "d15.data_ACTCCCACAGGAGACT-1", "d15.data_TATCAGGCAACGAGGT-1", "d15.data_GACCGTGAGACAACAT-1", "d15.data_TTTCAGTGTCTTCAAG-1", "d15.data_GGCTTGGGTGCATGAG-1", "d15.data_AACTTCTTCCACGTCT-1", "d15.data_ACACGCGTCTCATGCC-1", "d15.data_AAGACAACAGAGTTCT-1", "d15.data_TTTACCAGTCGCATCG-1", "d15.data_TTCCTAAAGCGTCAGA-1", "d15.data_CTGCCATAGCCACCGT-1", "d15.data_TACTTGTCAGGTTCGC-1", "d15.data_GTAATCGGTAGAGACC-1", "d15.data_ACGGTCGGTCAAAGTA-1", "d15.data_GACCCAGAGGGCTAAC-1", "d15.data_CCGGTAGAGGTGATAT-1", "d15.data_CCTCAACCAGTAGTTC-1", "d15.data_TCATGTTTCCGTGGGT-1", "d15.data_TTGTTCAGTGCCTATA-1", "d15.data_AGAAATGCAGGCTACC-1", "d15.data_TCCTTTCGTAGTCCTA-1", "d15.data_GAGTTGTAGATGGCAC-1", "d15.data_ACTTCCGAGAGGACTC-1", "d15.data_GTGGAAGGTTGACTGT-1", "d15.data_GAGTTGTCAGGACGAT-1", "d15.data_GCCCAGACACTGTCGG-1", "d15.data_TTACAGGGTTGATGTC-1", "d15.data_TGTGAGTGTCATCGCG-1", "d15.data_TGGATCAAGACTAAGT-1", "d15.data_CGAGAAGCATGCGTGC-1", "d15.data_TGTGATGCAGCTAACT-1", "d15.data_ACACAGTGTGACCGAA-1", "d15.data_TCACTATCAAAGCGTG-1", "d15.data_ATGACCACATCAACCA-1", "d15.data_TGAGACTTCATCACAG-1", "d15.data_ATTGGGTGTCCAGGTC-1", "d15.data_TACGCTCGTGCCCAGT-1", "d15.data_ACGATGTAGGGCAATC-1", "d15.data_TTGCATTAGACATAAC-1", "d15.data_TTTCAGTGTCTGCGCA-1", "d15.data_TCTCCGAAGGATTACA-1", "d15.data_GGGACCTAGTGGAAGA-1", "d15.data_GTGTTCCCAACTGATC-1", "d15.data_TTCGATTCATCAGCAT-1", "d15.data_CAGATCACAGAGATTA-1", "d15.data_TACGGGCTCTGTCCCA-1", "d15.data_TAACACGAGCTAAACA-1", "d15.data_AATGAAGTCGCTTAAG-1", "d15.data_TCCCATGAGAAGAACG-1", "d15.data_AGACACTTCGTTGTAG-1", "d15.data_CATCGTCTCACTGTCC-1", "d15.data_GTAGAGGGTCGCATGC-1", "d15.data_ACCATTTTCGTAGAGG-1", "d15.data_CCTCTCCTCTGAGGCC-1", "d15.data_TTGCGTCCAGCTGAGA-1", "d15.data_TCCTGCATCGCTGATA-1", "d15.data_AGCGATTGTTAGCGGA-1", "d15.data_TCATATCCAAATCAAG-1", "d15.data_TCATTCATCACCATCC-1", "d15.data_CGAAGGATCTCTGCTG-1", "d15.data_ATAGAGAGTGTCCTAA-1", "d15.data_TCGAAGTGTAGCTGTT-1", "d15.data_CCGATCTAGATGTTAG-1", "d15.data_CGGACACTCCCAGCGA-1", "d15.data_AATCGTGGTTTCCATT-1", "d15.data_CAATCGATCGCTCTAC-1", "d15.data_GGGAGTACACGTCGTG-1", "d15.data_GTTACCCAGTTCATGC-1", "d15.data_TTTCGATAGTTAACAG-1", "d15.data_CTGGTCTTCATCGACA-1", "d15.data_GTAAGTCTCCGATCGG-1", "d15.data_CTCAGAAGTGCAACAG-1", "d15.data_TCACTCGTCCTACCGT-1", "d15.data_TTGTTGTGTTTCCCAC-1", "d15.data_GGGTGTCCAGCGTACC-1", "d15.data_CTTCTAAGTTATGACC-1", "d15.data_AAGCATCCACTACGGC-1", "d15.data_CAATTTCGTATGTCAC-1", "d15.data_GATAGCTGTCACTTAG-1", "d15.data_CTACCCAGTAACACGG-1", "d15.data_CTGGCAGTCTTCGTAT-1", "d15.data_TTTACCAAGTGATGGC-1", "d15.data_TATCTTGGTAACACCT-1", "d15.data_AGGCATTAGTTTCGGT-1", "d15.data_AGGGTGACAGGGACTA-1", "d15.data_AGCCAGCGTTGCGGCT-1", "d15.data_GACAGCCTCGTTCTCG-1", "d15.data_AGGTGTTCAGCTAACT-1", "d15.data_GGCAGTCGTGCGAACA-1", "d15.data_ACGGAAGTCTGACGCG-1", "d15.data_TCATGTTGTTGCTAGT-1", "d15.data_CTACAGATCCGCAAAT-1", "d15.data_GTATTGGAGGTAGTCG-1", "d15.data_AATCACGGTCACCGCA-1", "d15.data_GTTAGACAGGTTCCAT-1", "d15.data_GCCAGCACAGTGGTGA-1", "d15.data_AACCACAAGGGCCCTT-1", "d15.data_AGACTCAGTGCCTTCT-1", "d15.data_ACGGGTCTCCTACAAG-1", "d15.data_GACGTTAGTTCCGCGA-1", "d15.data_TCATACTAGCTCAGAG-1", "d15.data_ATTACCTGTTAGGCTT-1", "d15.data_AGAGCAGCAATGTCTG-1", "d15.data_AAGATAGCACGACCTG-1", "d15.data_AGGCCACTCAGTGTCA-1", "d15.data_CCCGAAGAGACCAGAC-1", "d15.data_GAGTTACCAGGTCAAG-1", "d15.data_AGTCATGTCTTCTCAA-1", "d15.data_GGGTTATCACACGCCA-1", "d15.data_TCGTAGAGTCATGGCC-1", "d15.data_GTTACGAAGTCTGCAT-1", "d15.data_ATTCAGGTCTTTCTAG-1", "d15.data_TCGTCCAGTGTACGCC-1", "d15.data_GGCAGTCTCCCAGCGA-1", "d15.data_ATCGATGCAGAGTTGG-1", "d15.data_TCCTAATCACTAAACC-1", "d15.data_ATTCATCAGGACTAAT-1", "d15.data_TTCCGGTTCGCGTAGC-1", "d15.data_CACGAATCAAGCCTGC-1", "d15.data_TTACAGGTCAGTGCGC-1", "d15.data_GGCAGTCTCCAGCCTT-1", "d15.data_TCTCCGATCATTACGG-1", "d15.data_ATTGGGTTCTGGACCG-1", "d15.data_CAGAGCCCAAGTGGAC-1", "d15.data_TGGCGTGCACAATGAA-1", "d15.data_AGACAAAAGAAGCGCT-1", "d15.data_ATTCCATCACAGGATG-1", "d15.data_ATCGTAGGTGTAGGAC-1", "d15.data_GGTGTCGGTGTTCATG-1", "d15.data_CTGCCATCAATTTCTC-1", "d15.data_CAGGGCTTCACGATCA-1", "d15.data_AGATAGAAGGGAGGCA-1", "d15.data_CTGCGAGCAATTCGTG-1", "d15.data_TGCATCCAGACCAAGC-1", "d15.data_TCGGTCTTCCGATTAG-1", "d15.data_TGATGGTGTAAGACCG-1", "d15.data_TTTGATCAGTGGAAGA-1", "d15.data_CTGGACGAGGTTGCCC-1", "d15.data_TCGCTCAGTGGTATGG-1", "d15.data_AGTTCGATCCACCCTA-1", "d15.data_AAAGAACTCTTCGTGC-1", "d15.data_AGAGCAGTCTAGACCA-1", "d15.data_ATGCGATTCAGAGTGG-1", "d15.data_GAGGGATAGTTGCCCG-1", "d15.data_GGATCTAGTCATACCA-1", "d15.data_GGAATGGAGGTTATAG-1", "d15.data_TCTCTGGAGATGTTCC-1", "d15.data_GCATCTCCAAGCCCAC-1", "d15.data_GTTGTAGAGTTGAAGT-1", "d15.data_ACACAGTCAGAGGCAT-1", "d15.data_CCGTTCACAGCTGTCG-1", "d15.data_GGCAGTCTCGTGGGAA-1", "d15.data_AATGCCAGTTCTCCTG-1", "d15.data_TGCGGCAGTGGTCTCG-1", "d15.data_TTGTTTGAGAGTCGAC-1", "d15.data_CTAGGTAAGCTGTGCC-1", "d15.data_ACGCACGAGTCGAGGT-1", "d15.data_CGGTCAGGTGCAACGA-1", "d15.data_GAGTTGTCATAGAAAC-1", "d15.data_TGGGAAGTCTTACGTT-1", "d15.data_TATTTCGGTAAGCGGT-1", "d15.data_TCGGGTGTCGATCCAA-1", "d15.data_TGTGCGGCATGTCTAG-1", "d15.data_AGACTCATCAGCTAGT-1", "d15.data_CTACCTGAGTAAACTG-1", "d15.data_CATCAAGAGCGTTCCG-1", "d15.data_CACGAATGTGCCGTTG-1", "d15.data_GAAATGACACCATTCC-1", "d15.data_CATTCTACAGATCCTA-1", "d15.data_TTGCGTCTCACGAGGA-1", "d15.data_CTACCTGGTTGCATGT-1", "d15.data_GAAGCCCGTTTGGGAG-1", "d15.data_TGACAGTAGACGACTG-1", "d15.data_CATTCTATCCACTGGG-1", "d15.data_TTGTTTGGTGAACCGA-1", "d15.data_TCACTATAGAGGCGTT-1", "d15.data_TTAGGCAGTATAGCTC-1", "d15.data_GCATTAGAGGACCCAA-1", "d15.data_TGTACAGTCTCCAAGA-1", "d15.data_ACCATTTCAACTGGTT-1", "d15.data_CACAGATTCGATACGT-1", "d15.data_GGACGTCAGGGAGGTG-1", "d15.data_GGAACCCTCGGTGTAT-1", "d15.data_GTGAGTTTCGGTCATA-1", "d15.data_TAGTGCAGTACGACAG-1", "d15.data_GAATCGTCAGTAGGAC-1", "d15.data_TGTCCCAGTAGTCACT-1", "d15.data_CCGGGTAAGCTACTAC-1", "d15.data_TGAGGAGAGCTGTCCG-1", "d15.data_TACCTGCAGGTCCCTG-1", "d15.data_TCCGGGAAGTTACGTC-1", "d15.data_GGGATGACATCAGCTA-1", "d15.data_AGTTAGCGTGTGTTTG-1", "d15.data_TCATACTTCAAGGCTT-1", "d15.data_GTACAGTGTTATCCAG-1", "d15.data_AGAACAAGTAGAATGT-1", "d15.data_TCTGGCTGTAGCGTCC-1", "d15.data_GGCTTTCTCGACGATT-1", "d15.data_AAGCCATGTGGAGAAA-1", "d15.data_TTTACCAAGTTGCTCA-1", "d15.data_CATCGTCAGCAATTAG-1", "d15.data_CAGGTATCACGCGTGT-1", "d15.data_ATTCTACTCTTTACAC-1", "d15.data_GAGTTACTCTTCGCTG-1", "d15.data_GTGATGTTCGGTAAGG-1", "d15.data_TTGAACGTCGGAGTGA-1", "d15.data_GTCTTTAAGTATGCAA-1", "d15.data_CTGAGGCAGCTCCACG-1", "d15.data_CGCGTGATCTGAGGCC-1", "d15.data_TCGTCCAGTCAGTCCG-1", "d15.data_GACAGCCGTTGCACGC-1", "d15.data_ACAGAAAAGTGATTCC-1", "d15.data_TGTTACTGTGGAGGTT-1", "d15.data_TGGAGGATCGTTATCT-1", "d15.data_CTACATTGTTAGGAGC-1", "d15.data_AGGACTTAGACCATAA-1", "d15.data_ACTTATCGTCCTACAA-1", "d15.data_GTGATGTAGCCTCTGG-1", "d15.data_TTTACCATCGGTGTAT-1", "d15.data_CACCGTTTCCTTGAAG-1", "d15.data_CATGAGTAGCATTGAA-1", "d15.data_ATCGATGCATCCCGTT-1", "d15.data_GGTTCTCCAAATGGCG-1", "d15.data_ATCGGATAGTTCTCTT-1", "d15.data_CAGATCACAGTCAGTT-1", "d15.data_GACTGATGTAGGGAGG-1", "d15.data_GGGTCACTCTTTCAGT-1", "d15.data_CATAAGCTCGGTCGGT-1", "d15.data_TGTAACGAGTCCCAAT-1", "d15.data_CATCGTCCACGTGTGC-1", "d15.data_AGTTAGCGTGGACAGT-1", "d15.data_TTGGTTTCAACGACTT-1", "d15.data_ATCTTCATCGTGTGGC-1", "d15.data_CCGTGAGTCGGCCAAC-1", "d15.data_CAATACGAGAACCCGA-1", "d15.data_ATAGACCTCTACTATC-1", "d15.data_GAAGGACTCCGTGTCT-1", "d15.data_GAAGGGTTCTTGATTC-1", "d15.data_ACTTTCACATTAAAGG-1", "d15.data_TCACACCAGAGCTGAC-1", "d15.data_CTCAGTCAGGAACGCT-1", "d15.data_GAATCGTAGCATGCAG-1", "d15.data_TGATGCAAGATTGCGG-1", "d15.data_TGGATGTGTTTCTATC-1", "d15.data_GCACGGTAGCTTCGTA-1", "d15.data_GGCAGTCGTCTTTATC-1", "d15.data_CCACGAGCACCAGCTG-1", "d15.data_TACCTCGTCGGAAACG-1", "d15.data_CGAGGAAAGATGAATC-1", "d15.data_TACGCTCCATCGCCTT-1", "d15.data_GATGATCAGCCAACCC-1", "d15.data_CTCATGCTCGTAGTGT-1", "d15.data_TGTTTGTAGGCCATAG-1", "d15.data_CATCCACTCTGTAAGC-1", "d15.data_ATGAGGGGTTGGGTTT-1", "d15.data_CACTGTCCAGGTGACA-1", "d15.data_CCGGACAGTCTGCGCA-1", "d15.data_GTTACAGTCTGATTCT-1", "d15.data_CTTAGGATCAAGTGGG-1", "d15.data_GGAGATGGTCAACATC-1", "d15.data_ATGGATCAGGATTACA-1", "d15.data_AGAAGCGGTCCGAAAG-1", "d15.data_GAGCCTGAGCAGATAT-1", "d15.data_ACTGTCCGTTAGTTCG-1", "d15.data_AGGTTACTCATCTGTT-1", "d15.data_ACCGTTCTCCACCTGT-1", "d15.data_TTCTTGAAGGGATCTG-1", "d15.data_TTTACGTGTACGGGAT-1", "d15.data_GCAGTTATCGTAATGC-1", "d15.data_ACAAGCTTCATTACCT-1", "d15.data_TCGGGTGCACTCTCGT-1", "d15.data_AAAGAACAGATGGGCT-1", "d15.data_CAGAGCCGTTGTCTAG-1", "d15.data_ACTTCGCTCCCTCATG-1", "d15.data_CTCATCGCAGAGGCTA-1", "d15.data_GTCTTTACATTACGGT-1", "d15.data_GTTGTAGGTTAGGACG-1", "d15.data_TTTATGCCACTTCATT-1", "d15.data_TCATTCATCTTTGATC-1", "d15.data_CTACTATGTAAGCGGT-1", "d15.data_TCAGGTAAGCCACAAG-1", "d15.data_GGGTGAACACAGCCAC-1", "d15.data_ATCAGGTTCCGCGATG-1", "d15.data_GAAGAATAGAATCGAT-1", "d15.data_TATCTGTTCATTGTTC-1", "d15.data_TTTGGAGAGGTGCATG-1", "d15.data_AGGACGATCCAGGACC-1", "d15.data_TTGGGTAGTTGCGGCT-1", "d15.data_GTACAGTCATAGGTAA-1", "d15.data_TACGGTAGTAGGTCAG-1", "d15.data_GATCACATCTGTGCAA-1", "d15.data_TCTGCCATCCTTGGAA-1", "d15.data_AGGGTCCGTTACGTAC-1", "d15.data_ACTTAGGTCTCTTGCG-1", "d15.data_TGCCGAGTCCATTCGC-1", "d15.data_GGAATGGAGACTCTTG-1", "d15.data_AAAGTCCGTGGGTCAA-1", "d15.data_CGTTCTGGTGCCAAGA-1", "d15.data_CACGAATTCTCGTGGG-1", "d15.data_GTGCGTGGTTGTATGC-1", "d15.data_CAAGGGATCAGGTAAA-1", "d15.data_TATCCTAAGAGTGTGC-1", "d15.data_TGATTTCCAACACGTT-1", "d15.data_GATGACTGTAGGTTTC-1", "d15.data_TATCCTATCTCGCAGG-1", "d15.data_ACACCAAGTCGTATGT-1", "d15.data_AGTAGCTAGATGCTTC-1", "d15.data_CCGTGAGCAAATACAG-1", "d15.data_GCGTGCAGTCCCGTGA-1", "d15.data_TAGCACAGTATGAGGC-1", "d15.data_ACGGTCGGTAATGCTC-1", "d15.data_TGATGCACATGAAGGC-1", "d15.data_TTGCATTGTTCGTACA-1", "d15.data_TCCATGCGTTGGCTAT-1", "d15.data_TTCCAATCATACCGTA-1", "d15.data_AGTGATCTCGCGTGAC-1", "d15.data_CCGATCTGTTCTTAGG-1", "d15.data_ATCCACCGTGACCGAA-1", "d15.data_GTGGGAAAGCGCTGAA-1", "d15.data_GGGCTCAGTGACATCT-1", "d15.data_TTCATTGAGTCGCCCA-1", "d15.data_CGTTGGGGTGAGTAAT-1", "d15.data_CTGTATTTCCACAGCG-1", "d15.data_GGTTCTCAGCATGAAT-1", "d15.data_ACCGTTCTCTTCGTAT-1", "d15.data_GCACTAAGTCGCACAC-1", "d15.data_TTTACCAGTACCCGAC-1", "d15.data_ACTCCCAAGTCTGGTT-1", "d15.data_TTCGGTCCACCCATAA-1", "d15.data_GAGTGAGCAAACAGGC-1", "d15.data_ATGGAGGAGGTTTGAA-1", "d15.data_CACTGAATCGAGATGG-1", "d15.data_CGCATAACAACAAGTA-1", "d15.data_GTGCGTGAGAAAGCGA-1", "d15.data_TTGGGTAAGCCATATC-1", "d15.data_GGAGGATCATAGACTC-1", "d15.data_TGCGGCAGTCCAGCCA-1", "d15.data_TGTCCTGAGTCAGAGC-1", "d15.data_TCTTTGATCCGCTGTT-1", "d15.data_TGATGCATCCCGAATA-1", "d15.data_ATCGTGAGTGCTGCAC-1", "d15.data_GACATCACAACGGTAG-1", "d15.data_AGATGCTGTGTCCGTG-1", "d15.data_AGTTCGAAGTTAACAG-1", "d15.data_GGTCACGGTGAATGAT-1", "d15.data_TGAGGTTAGCTGAAGC-1", "d15.data_TCAATTCTCCAAGCTA-1", "d15.data_GGGTCACTCTAAGCGT-1", "d15.data_CAGATTGGTATGGAGC-1", "d15.data_TGACGCGGTGTCTTCC-1", "d15.data_AGTCATGGTCATGGCC-1", "d15.data_AGCGATTAGCCATTTG-1", "d15.data_ATTCACTCAACAGATA-1", "d15.data_TGGAGGACAAGTCCCG-1", "d15.data_GTATTGGTCTGGAAGG-1", "d15.data_ATCACGAAGACAGCTG-1", "d15.data_AAGTGAACAACTGCTA-1", "d15.data_CTGTCGTCAGATTCGT-1", "d15.data_ACGTTCCCAACTTGCA-1", "d15.data_ATCCACCGTGCAGTGA-1", "d15.data_GAGGGTACATTCACCC-1", "d15.data_GCGAGAAAGTCGAGGT-1", "d15.data_AACACACCATCGATAC-1", "d15.data_TCGGGCATCTTTCCGG-1", "d15.data_AGTCACATCTTTCTAG-1", "d15.data_CCGCAAGTCGGCTGAC-1", "d15.data_TCGTCCATCTGGCTGG-1", "d15.data_CGAATTGAGCGTGTTT-1", "d15.data_CTAGGTAAGCCTATTG-1", "d15.data_AAGGAATCAGGGTCTC-1", "d15.data_TGACTCCAGCGTGCTC-1", "d15.data_GAATAGAAGCGCGTTC-1", "d15.data_AGGATAAAGTGGCAGT-1", "d15.data_TGTCCTGTCATCACCC-1", "d15.data_GTTGTAGAGGTAATCA-1", "d15.data_TCATGGATCCGAACGC-1", "d15.data_CCATCACGTATCGTAC-1", "d15.data_CTCCCTCGTTACACAC-1", "d15.data_TCTTGCGTCCGTGCGA-1", "d15.data_ACATCGAAGGACAACC-1", "d15.data_TAGACTGGTCCGACGT-1", "d15.data_TGGGATTCATAGTCAC-1", "d15.data_ACCAACAGTAACAAGT-1", "d15.data_ACATGCAAGCTGAAGC-1", "d15.data_GTGGAGATCCCGAGGT-1", "d15.data_TCAGGTAAGTAATACG-1", "d15.data_GTGAGGAGTATTGACC-1", "d15.data_CAGCAGCGTGCAATAA-1", "d15.data_TTGGTTTCATGAGAAT-1", "d15.data_GATTGGTGTCGTCAGC-1", "d15.data_TGAGCATGTTGATCGT-1", "d15.data_CCTAAGAAGCCGAATG-1", "d15.data_ATGGGAGGTTGTCTAG-1", "d15.data_GTCCACTTCCGAGTGC-1", "d15.data_CGAGAAGGTTCAAACC-1", "d15.data_CATCGTCTCCTCATAT-1", "d15.data_GTCGCGATCAGTCTTT-1", "d15.data_CCACAAATCCCTCGAT-1", "d15.data_CGTCAAAGTTTAGACC-1", "d15.data_TTTAGTCCAATCTCTT-1", "d15.data_TGCACGGGTAGTATAG-1", "d15.data_AGTGATCCACAACGAG-1", "d15.data_ATCCATTGTTTAGACC-1", "d15.data_AGTCACAGTGCGGATA-1", "d15.data_TCGGGCAGTCCTCCTA-1", "d15.data_CAGGTATAGGTAGCCA-1", "d15.data_TCATGCCCAAACTAAG-1", "d15.data_CGTGATACATGTGACT-1", "d15.data_ATCGATGTCCATGAGT-1", "d15.data_TGATTCTAGATCGCCC-1", "d15.data_GTTACCCCACAACATC-1", "d15.data_GTCTTTAAGGGCAAGG-1", "d15.data_ATGCGATCAACCCTCT-1", "d15.data_CTGTCGTCAACTCGAT-1", "d15.data_GGAGCAAGTACAAAGT-1", "d15.data_GTCAAGTAGCCAAGTG-1", "d15.data_CCTCTAGCATCCGAGC-1", "d15.data_AGGGAGTCATTCATCT-1", "d15.data_TTGGGCGTCGAAATCC-1", "d15.data_TAACCAGGTTCAGCTA-1", "d15.data_GCCATGGAGAGTGACC-1", "d15.data_AACAGGGTCTAGAACC-1", "d15.data_TTCCGTGTCCACACAA-1", "d15.data_AGGTTACGTCCCAAAT-1", "d15.data_GGTAACTGTCTTGCTC-1", "d15.data_ATCGTAGTCGATAACC-1", "d15.data_TCTCACGGTGGCTACC-1", "d15.data_CACTGAAGTTACCGTA-1", "d15.data_GGTAATCGTGGCTAGA-1", "d15.data_TGTTTGTGTCGTCGGT-1", "d15.data_ACTTAGGGTCGTTGCG-1", "d15.data_AACCCAAGTTTGTGGT-1", "d15.data_CGAGGCTGTCACATTG-1", "d15.data_TGACTCCGTAATTAGG-1", "d15.data_ATCCGTCGTTGCCAAT-1", "d15.data_ACCTGAAGTTTCACTT-1", "d15.data_ATGCCTCAGTTGGGAC-1", "d15.data_GGGTTATCACTTGGGC-1", "d15.data_TCATTACTCCTTATCA-1", "d15.data_GTTACGAGTATCCTTT-1", "d15.data_AATCACGGTATCACCA-1", "d15.data_CAACAGTTCCAGTGTA-1", "d15.data_TTCCGTGTCAGCTTCC-1", "d15.data_ATACCTTCACCAACAT-1", "d15.data_TATCTGTGTCGACTGC-1", "d15.data_AGACAGGGTTGCTGAT-1", "d15.data_GTTAGTGGTGGGACAT-1", "d15.data_GAGGCCTAGATGACCG-1", "d15.data_CACAGATCAGCAGTGA-1", "d15.data_TTAGTCTCAATACGAA-1", "d15.data_GTAGGAGCACCCGTAG-1", "d15.data_AGGGAGTTCCTGGGTG-1", "d15.data_CTCCCTCAGCACACAG-1", "d15.data_AAAGGATAGTAGTCCT-1", "d15.data_GGGTATTTCGTCGATA-1", "d15.data_CTATCCGGTGCACGCT-1", "d15.data_TGCAGTAGTCCTCATC-1", "d15.data_CGATGGCCAATGACCT-1", "d15.data_ACAAAGAAGGGCAAGG-1", "d15.data_ATTCCTACACTACTTT-1", "d15.data_CCAATTTTCATGAGTC-1", "d15.data_CGGAATTGTTTGCAGT-1", "d15.data_GAGGGTACACAGTCCG-1", "d15.data_TTGTGGAGTGCAACGA-1", "d15.data_TTACCGCGTCAGCTTA-1", "d15.data_CGAGGAACACCATAAC-1", "d15.data_CTACGGGGTGCATTTG-1", "d15.data_GCCAGGTTCCCGTGTT-1", "d15.data_GAAGCGACATGGCACC-1", "d15.data_GGAGGATCATGGGATG-1", "d15.data_AACTTCTTCCGCACTT-1", "d15.data_CGATCGGAGGTCATAA-1", "d15.data_GACGTTACACGCAAAG-1", "d15.data_ATACCGAGTGGAGAAA-1", "d15.data_AATTTCCCAGAAATTG-1", "d15.data_GCACTAAGTGGTCTTA-1", "d15.data_TAGGAGGTCAAACGTC-1", "d15.data_TTGCGTCAGTCACTAC-1", "d15.data_CATGCCTAGGGAGGGT-1", "d15.data_GGGTCACTCTGTCTCG-1", "d15.data_GTGCTGGCATAATGCC-1", "d15.data_GAGGGATAGTCCCGGT-1", "d15.data_AACTTCTCATAAGCGG-1", "d15.data_CCGAACGCATTGTACG-1", "d15.data_TGTTGGAAGGAAGTAG-1", "d15.data_ACATCCCAGCAGGCTA-1", "d15.data_TGTTCTACACTTGTCC-1", "d15.data_GGTTGTAAGGGCGAGA-1", "d15.data_AGGGTCCGTAAGAACT-1", "d15.data_GGTTCTCGTATTCCTT-1", "d15.data_TCCTTTCAGGGCGAAG-1", "d15.data_CTGTGGGGTCTACAAC-1", "d15.data_AGAGAATTCTTACGTT-1", "d15.data_TTGGATGGTCCTTGTC-1", "d15.data_GGGCTCACAAATCAGA-1", "d15.data_CATGCAAAGGGTACAC-1", "d15.data_GTAATGCTCAAATAGG-1", "d15.data_ATGGGTTTCGTGTGAT-1", "d15.data_CTCCTTTTCTGCAGCG-1", "d15.data_TGCTGAATCCACAGGC-1", "d15.data_TTGTGTTCATTGCCTC-1", "d15.data_ACAGGGAAGCGAGGAG-1", "d15.data_GTAACCAGTTTAGAGA-1", "d15.data_CAGGCCAGTACAGTAA-1", "d15.data_GTCGAATGTCCCGGTA-1", "d15.data_CAGATACTCATTGAGC-1", "d15.data_GAAGGGTTCGCTTACC-1", "d15.data_GTCGTTCAGTTTGGCT-1", "d15.data_CGTGATAAGTCTCGTA-1", "d15.data_GACACGCTCAAAGGTA-1", "d15.data_ATTACCTTCGCGTGCA-1", "d15.data_ACCCTTGGTGCGTCGT-1", "d15.data_GTCTAGACAGGCACTC-1", "d15.data_ACGTTCCAGTTACTCG-1", "d15.data_AGACTCATCCATATGG-1", "d15.data_TTCTAGTGTCTCAAGT-1", "d15.data_CGCGTGATCTAGACCA-1", "d15.data_GCCGATGCACATGTTG-1", "d15.data_TGTCCACCAGTAACGG-1", "d15.data_TATCGCCCAGACGGAT-1", "d15.data_ATCGTGAGTATAGGGC-1", "d15.data_CGAGGAAAGTATGTAG-1", "d15.data_CTCAATTGTGCCTGAC-1", "d15.data_ACCTGAAAGAGATGCC-1", "d15.data_TGTTCTACACTTCATT-1", "d15.data_ACCAAACGTCGAAGCA-1", "d15.data_CTCAGTCCAACTTCTT-1", "d15.data_CATCGGGTCCTGATAG-1", "d15.data_AGTCATGAGATGGTCG-1", "d15.data_TCTTAGTCAGAACGCA-1", "d15.data_GACCAATTCAGACTGT-1", "d15.data_GGTCTGGGTTGTGTTG-1", "d15.data_ATGAGTCAGTTTCGAC-1", "d15.data_GAAGGGTTCTACCACC-1", "d15.data_ATGAGTCAGTTTGGCT-1", "d15.data_TGGTGATGTATTTCGG-1", "d15.data_AAATGGAGTATGAGGC-1", "d15.data_AAAGAACGTTGCCGAC-1", "d15.data_TTCGCTGCATGACGGA-1", "d15.data_GAGCTGCGTATTGGCT-1", "d15.data_CGGACACAGCTATCCA-1", "d15.data_GGTGAAGTCAGCGTCG-1", "d15.data_ATTTACCGTCATCGCG-1", "d15.data_TGGGCGTAGAAACCAT-1", "d15.data_TATCTGTTCGCCAATA-1", "d15.data_TTGGATGAGAGTTCGG-1", "d15.data_GATGCTAAGTATGGCG-1", "d15.data_TTTACGTCAAACGTGG-1", "d15.data_GTTACCCAGTTTGGCT-1", "d15.data_TATGTTCAGTTAGTGA-1", "d15.data_GTCATCCTCTAACACG-1", "d15.data_TATCAGGGTTGCCAAT-1", "d15.data_GCTACCTAGATGTAGT-1", "d15.data_AGAAGTATCAAAGGAT-1", "d15.data_GGAAGTGCATAGGAGC-1", "d15.data_GGGTGTCTCCGACGGT-1", "d15.data_ACATCGAGTCCCGCAA-1", "d15.data_TTTGACTCAACGACAG-1", "d15.data_CTCCACATCCCAGGAC-1", "d15.data_CAGGTATCAACCACAT-1", "d15.data_AATGGAAGTACTAACC-1", "d15.data_TAGTGCATCTGCTCTG-1", "d15.data_CTGCGAGAGAGGATCC-1", "d15.data_GAGGGATGTTCAAACC-1", "d15.data_TATCTTGTCAAACCTG-1", "d15.data_AGCATCAAGCAGGTCA-1", "d15.data_GGGACTCCACTCACTC-1", "d15.data_TGAGCGCAGAAACTGT-1", "d15.data_TGCTCCATCTCCACTG-1", "d15.data_GAGTGAGCACCGCTGA-1", "d15.data_GCTACCTGTCTTAGTG-1", "d15.data_TATCTTGCACTTGGCG-1", "d15.data_TCATTCACACGTACAT-1", "d15.data_GCACGGTGTGGCTGCT-1", "d15.data_TTCAGGAGTGCAATGG-1", "d15.data_TTGTGGAAGCTTTCTT-1", "d15.data_CAGCACGCAAGCGCAA-1", "d15.data_ATTCATCGTACAGCGA-1", "d15.data_TGACTCCTCTCATTGT-1", "d15.data_GTCGCGAGTACATTGC-1", "d15.data_GTTTGGAGTGTGACCC-1", "d15.data_AGCTCAAGTCCGACGT-1", "d15.data_ACGGGTCTCGCTTGAA-1", "d15.data_AACAAAGGTACGAGTG-1", "d15.data_CCACACTCACAAGGTG-1", "d15.data_CACCAAAAGGCTTAAA-1", "d15.data_AGAGAATAGCAACAAT-1", "d15.data_CTCACTGCAAGTGCTT-1", "d15.data_GGAGATGTCCTCGCAT-1", "d15.data_TAGGTTGTCAAAGCCT-1", "d15.data_TTGCGTCCAAGGACAC-1", "d15.data_TCAAGACTCCGGTTCT-1", "d15.data_TTCTAACCAACGCCCA-1", "d15.data_TTCTGTAGTACAAGTA-1", "d15.data_GTCTAGAAGCCTGACC-1", "d15.data_ATCACGAAGTAGGATT-1", "d15.data_CTTGATTGTGCACATT-1", "d15.data_CCTCATGCACTTGAAC-1", "d15.data_TTACGTTCAAGACCGA-1", "d15.data_GGGTGAATCCGTAGGC-1", "d15.data_GGCAGTCAGAATTCAG-1", "d15.data_TTCTAACTCTGCATAG-1", "d15.data_GTGGTTAGTGCACATT-1", "d15.data_GCGGATCTCTGAGGTT-1", "d15.data_GAGTTTGGTACACTCA-1", "d15.data_ATCGCCTTCAAATGCC-1", "d15.data_GCAGGCTTCGTGGACC-1", "d15.data_GTGTTAGAGTTGCATC-1", "d15.data_CTGCGAGTCTCGTTTA-1", "d15.data_CGATCGGAGGAAAGTG-1", "d15.data_GTGACGCTCCATGCAA-1", "d15.data_TGTTCTAAGCATAGGC-1", "d15.data_CCTCAACTCCACCTCA-1", "d15.data_AGTGATCTCGATCCCT-1", "d15.data_CGAATTGAGACTCAAA-1", "d15.data_TAACGACGTCAACCAT-1", "d15.data_CTGCATCGTACGCTAT-1", "d15.data_CATACAGGTGGGTATG-1", "d15.data_CTACTATTCTAGGCCG-1", "d15.data_GGAGGATCACACCTTC-1", "d15.data_TGCTCGTCAAGTGCTT-1", "d15.data_TGATCTTCAACCGACC-1", "d15.data_TTGTTTGCATTGCTGA-1", "d15.data_ACTCCCAAGTAGGTTA-1", "d15.data_TCGGTCTTCATGGATC-1", "d15.data_GAAACCTCAAATGGCG-1", "d15.data_ACTGTCCGTTCGATTG-1", "d15.data_TGATCTTGTCACTCGG-1", "d15.data_CACTTCGTCGACCAAT-1", "d15.data_ACAGAAAGTGACTCTA-1", "d15.data_CGTAGTACAGAACGCA-1", "d15.data_CGATCGGGTGCATGTT-1", "d15.data_AATGAAGGTCTCTCAC-1", "d15.data_ATTCTACGTGATTAGA-1", "d15.data_GTGCTGGGTGGACCTC-1", "d15.data_CGAGGCTTCTAGTACG-1", "d15.data_TTCACCGGTCATCACA-1", "d15.data_TTGCGTCAGGACCCAA-1", "d15.data_ATCACAGAGGGCATGT-1", "d15.data_TGCAGGCTCTAGTGTG-1", "d15.data_GTGCTGGTCAATCTTC-1", "d15.data_CATCGTCCAGCCTACG-1", "d15.data_AACCCAAAGAAATTCG-1", "d15.data_CCGCAAGTCGACCCAG-1", "d15.data_ACAAAGAGTGAGATCG-1", "d15.data_ATACTTCAGTCTAGAA-1", "d15.data_TTTCCTCAGGCCTGAA-1", "d15.data_CAGATACTCAGAGTTC-1", "d15.data_TTACCGCGTGGAACCA-1", "d15.data_CATTCTAGTTTGAAAG-1", "d15.data_TCATTTGGTCTTACAG-1", "d15.data_ATGTCCCTCCTTCTGG-1", "d15.data_GAAGGGTTCTTCCGTG-1", "d15.data_CAGCCAGAGTCTAGAA-1", "d15.data_ACTTTCAAGGTGGCTA-1", "d15.data_TTCCGGTCATGCGGTC-1", "d15.data_GGGCTACTCTAGTGTG-1", "d15.data_ACACGCGGTCAGGAGT-1", "d15.data_ATCCGTCCAGCGATTT-1", "d15.data_CCACCATAGCCTCTGG-1", "d15.data_TGGAACTCAAAGAGTT-1", "d15.data_CCAATGATCCGTGACG-1", "d15.data_ACTTAGGGTAGAGATT-1", "d15.data_AGACACTTCACGGAGA-1", "d15.data_ACTTTCACAGAGCTAG-1", "d15.data_AGCGTATTCCTAACAG-1", "d15.data_GAAGCGATCATTGCGA-1", "d15.data_TGGAACTTCTATCGCC-1", "d15.data_GTTGTGATCCATTCGC-1", "d15.data_CATAAGCAGGGCCTCT-1", "d15.data_GAGTGAGGTTCAAGTC-1", "d15.data_GTAATCGCAACCGATT-1", "d15.data_TCGGTCTAGTGATAAC-1", "d15.data_GCTTGGGGTGATTAGA-1", "d15.data_TTTGTTGAGAATAACC-1", "d15.data_GATCACAAGGATCATA-1", "d15.data_TACCGGGTCTAGCCAA-1", "d15.data_CACAACATCATCACAG-1", "d15.data_CTTGAGACAGGAAGTC-1", "d15.data_TTTACCATCGTAGCCG-1", "d15.data_GACAGCCAGAACTGAT-1", "d15.data_CTTCCTTCAATCCTAG-1", "d15.data_AGATCCAGTGTAGTGG-1", "d15.data_CACGTTCTCCGCACTT-1", "d15.data_CCCTCTCCATGATCTG-1", "d15.data_ACTGCAAGTTTCCCAC-1", "d15.data_CCTCAGTCAACCGGAA-1", "d15.data_ACACGCGCACACTGGC-1", "d15.data_AAGATAGGTTTCGTAG-1", "d15.data_CATACAGCAGACAATA-1", "d15.data_GGAGGATAGTATGCAA-1", "d15.data_CATGCAAGTGTAAACA-1", "d15.data_GCCAGCACAACTCATG-1", "d15.data_ACATCGATCATTGCTT-1", "d15.data_GTTGAACTCTGTCCCA-1", "d15.data_AAATGGACAGGTGACA-1", "d15.data_CATACTTCAGACCCGT-1", "d15.data_GTCTTTAAGACTACCT-1", "d15.data_CTCAATTTCATCCCGT-1", "d15.data_TAGAGTCTCAGAATAG-1", "d15.data_ATTCAGGCAAGTTCGT-1", "d15.data_AGGCATTCATCCGCGA-1", "d15.data_AGGCTGCAGCAATAGT-1", "d15.data_ACTTATCAGGTTCTAC-1", "d15.data_ACTATTCTCGGTTAGT-1", "d15.data_CAACAGTGTACTGGGA-1", "d15.data_AGGCTGCCACCATTCC-1", "d15.data_CTGCCTAGTTGCTGAT-1", "d15.data_TCCATCGCATACACCA-1", "d15.data_AGGGCCTGTATCGTAC-1", "d15.data_ATCGCCTGTCTTGCGG-1", "d15.data_GTATTTCGTGCATGAG-1", "d15.data_ATCCCTGAGCGTTCAT-1", "d15.data_TACCTCGTCCGAAGGA-1", "d15.data_TGGTACATCTACGGTA-1", "d15.data_CATTCTACATGGATCT-1", "d15.data_GGTGAAGAGTACCGGA-1", "d15.data_CAACCAAAGATTCGAA-1", "d15.data_GGAGAACAGTTGCGAG-1", "d15.data_CTCCAACGTATGGAGC-1", "d15.data_ACTGATGCACCTGAAT-1", "d15.data_ATGCCTCTCACAGAGG-1", "d15.data_CGAGTGCGTACCGCGT-1", "d15.data_ATGATCGCACTATGTG-1", "d15.data_CATACCCCATCCGATA-1", "d15.data_CCGTTCATCTCATGCC-1", "d15.data_AGACACTCAGACATCT-1", "d15.data_TGTTGGAGTTACGCCG-1", "d15.data_AGTGATCTCCTGATAG-1", "d15.data_TTGAGTGGTTACGGAG-1", "d15.data_CATGAGTCACTAGAGG-1", "d15.data_AACCAACGTGAATTAG-1", "d15.data_AGAAATGTCTTTCCAA-1", "d15.data_GTTGTGAGTCATGACT-1", "d15.data_TCAGTGACACACGTGC-1", "d15.data_CTTCTCTTCTCTGCTG-1", "d15.data_GTTGAACCAGTTGCGC-1", "d15.data_TGAGACTGTCGGCCTA-1", "d15.data_CACAGGCGTGATGGCA-1", "d15.data_GAGACCCCATGACTGT-1", "d15.data_GTAACACGTGAGAACC-1", "d15.data_CATCGCTTCCTACGAA-1", "d15.data_GTTGTCCAGACTAGAT-1", "d15.data_ACTGTCCAGCCAGAGT-1", "d15.data_CATCCCAAGGCTAACG-1", "d15.data_TACGTCCCAGTGGCTC-1", "d15.data_TCGAAGTCACGCGTCA-1", "d15.data_GGGATGAGTTGCATCA-1", "d15.data_TGACAGTAGTTCCATG-1", "d15.data_GTAACACCATTAAGCC-1", "d15.data_GAATCGTCATCCTCAC-1", "d15.data_GTATTGGCAATCAGCT-1", "d15.data_GTCCACTTCACAATGC-1", "d15.data_TTGAGTGCAGTTTGGT-1", "d15.data_GGGAGATGTTAACCTG-1", "d15.data_GAGCTGCTCATGGTAC-1", "d15.data_ACCACAATCAAGCCAT-1", "d15.data_TGCTGAAAGTCATCGT-1", "d15.data_GCTTTCGGTGGCTACC-1", "d15.data_ACTCCCACAAATCAAG-1", "d15.data_CATGGATCATGATCTG-1", "d15.data_CTTTCGGCACACGCCA-1", "d15.data_GAGGGATTCGAGCTGC-1", "d15.data_CCCTCTCGTGCCAAGA-1", "d15.data_CCTCAACGTTGCTAGT-1", "d15.data_TCCACCAGTCCCTGAG-1", "d15.data_CATTCATTCTACTATC-1", "d15.data_AAAGGGCTCGAGATGG-1", "d15.data_AGAACCTCAGCTTTCC-1", "d15.data_GTAACCATCAGCTTGA-1", "d15.data_CCTCCAATCAACGAGG-1", "d15.data_AGGTCTATCTGCTTAT-1", "d15.data_AGGGCCTCATCCTTCG-1", "d15.data_TGTAGACCACTTGTGA-1", "d15.data_GGACGTCAGGAAGAAC-1", "d15.data_TTTGATCGTACGATGG-1", "d15.data_CTCTCAGAGGTATTGA-1", "d15.data_AGGACGAAGGGAGGGT-1", "d15.data_ACAGCCGCAACCCGCA-1", "d15.data_TCACGCTAGTTCCGTA-1", "d15.data_CCGCAAGGTGGAAATT-1", "d15.data_ATCGGCGTCACTCTTA-1", "d15.data_AACGAAACAGACCAAG-1", "d15.data_GTGCTGGCACCGCTAG-1", "d15.data_TCTTTGATCGTCAACA-1", "d15.data_CGAAGGAGTTTGACAC-1", "d15.data_GATGACTCATCATCTT-1", "d15.data_CCTTTGGCAATTCTTC-1", "d15.data_GTGCTTCAGATGAATC-1", "d15.data_ATAGGCTCATGACGAG-1", "d15.data_ATGACCAGTGCTTCAA-1", "d15.data_CGGTCAGTCGAACCTA-1", "d15.data_GTCGCGAGTCAGTTTG-1", "d15.data_TTCTAGTCACCTCTAC-1", "d15.data_ACATCGAGTTGTGCAT-1", "d15.data_TCCTCCCGTAGCACGA-1", "d15.data_GTCTACCTCTTCCAGC-1", "d15.data_GACTATGGTGTTTCTT-1", "d15.data_CAAGGGAAGCAAACAT-1", "d15.data_TGAGACTTCGACCAAT-1", "d15.data_ATCCTATCAAGCAATA-1", "d15.data_GTTGTAGCACAGCCAC-1", "d15.data_ATCGGATGTTATCCAG-1", "d15.data_ATGCGATGTGCTTCAA-1", "d15.data_TACCCGTCACCCTATC-1", "d15.data_GATCGTACACTGTTCC-1", "d15.data_TGCTTCGGTTCGTTCC-1", "d15.data_GACTCAACATCAGCAT-1", "d15.data_TTCTAGTGTGGACCAA-1", "d15.data_AGATGAAAGCGAACTG-1", "d15.data_GCATCTCCAAATACAG-1", "d15.data_ACTCCCAAGGCACCAA-1", "d15.data_GGGAGTAGTGTGTCCG-1", "d15.data_GATTTCTTCATGGGAG-1", "d15.data_ATTTACCCAAACGAGC-1", "d15.data_GTAATCGTCCATAGGT-1", "d15.data_GGAAGTGGTTACGGAG-1", "d15.data_TCATTTGAGTATGCAA-1", "d15.data_ATGAGGGTCCACAGCG-1", "d15.data_GGTGTCGAGGCCTAAG-1", "d15.data_TTCCTCTGTGCATGTT-1", "d15.data_CTCCTCCTCAACCGAT-1", "d15.data_GTCGTAAAGTTATGGA-1", "d15.data_TTCCTCTCAACTGGTT-1", "d15.data_ATTATCCGTACAGCGA-1", "d15.data_TTCCTAATCCATTCGC-1", "d15.data_TACCCACCACTTGTGA-1", "d15.data_GATTGGTTCCAAGAGG-1", "d15.data_AGGACGACACTGATTG-1", "d15.data_GATTCGACAAATGGAT-1", "d15.data_TTTCATGGTATGGTTC-1", "d15.data_GAGGCCTTCTATTTCG-1", "d15.data_AGGTAGGAGACATCAA-1", "d15.data_CCTACGTTCGTCAACA-1", "d15.data_ATCATTCCAGCACAAG-1", "d15.data_TTGTGTTCAGTCAACT-1", "d15.data_GTAATCGGTTACGTAC-1", "d15.data_AGGTTACAGCTGCCAC-1", "d15.data_CATCAAGTCGGCCCAA-1", "d15.data_AATGGAACAATCGTCA-1", "d15.data_CAAAGAACAACCGTAT-1", "d15.data_TGATTTCAGAATCCCT-1", "d15.data_GATAGCTTCGTTTACT-1", "d15.data_TCGTAGATCAGCGTCG-1", "d15.data_ACTATTCGTTTCCCAC-1", "d15.data_GCGATCGTCAAGATAG-1", "d15.data_AAAGAACCACATAACC-1", "d15.data_ATAGACCGTGGCCTCA-1", "d15.data_CGCATAAGTTGGAGAC-1", "d15.data_TGATGGTTCCTACTGC-1", "d15.data_CTTTCGGGTAATTAGG-1", "d15.data_AACCTTTGTGCACGCT-1", "d15.data_TGTGATGTCCAAGCAT-1", "d15.data_TGCTGAAGTCCTGGGT-1", "d15.data_ATCCACCCAGAACTTC-1", "d15.data_AGTGATCCAGGTTCCG-1", "d15.data_CGCATGGTCTTGGGCG-1", "d15.data_GACAGCCAGATACCAA-1", "d15.data_TTCGGTCTCCTCACCA-1", "d15.data_AAGTGAAGTTTCCAAG-1", "d15.data_ACAGGGAGTCAAATCC-1", "d15.data_TGGTACAAGGCAGTCA-1", "d15.data_AGGTAGGTCCTCTAAT-1", "d15.data_GTAGCTAAGTAATTGG-1", "d15.data_ACTGTGAAGCAAGTGC-1", "d15.data_TCGGGACTCCGTCCTA-1", "d15.data_TGACCCTGTGCCGTAC-1", "d15.data_TGTGCGGCACAACGCC-1", "d15.data_AACGTCATCGTGGCGT-1", "d15.data_CTCCAACCAGAGGCTA-1", "d15.data_TATCGCCTCTCCTGAC-1", "d15.data_CCTCATGTCAGAGCAG-1", "d15.data_CCACAAAAGTTAGTGA-1", "d15.data_GTCCACTGTTTCGTGA-1", "d15.data_TGGAGAGCAAGTATCC-1", "d15.data_CGATGCGTCAGGAACG-1", "d15.data_CAGTTCCTCGCATTAG-1", "d15.data_TCTTTGATCGTAGAGG-1", "d15.data_AGAAATGAGGCTTTCA-1", "d15.data_CCTAACCAGATCCCAT-1", "d15.data_GCGGAAATCGGTGTTA-1", "d15.data_GGTGAAGCAATAGAGT-1", "d15.data_GGAACCCCATGCCATA-1", "d15.data_TGCATGAAGACGCCAA-1", "d15.data_GATCAGTAGCAGGCTA-1", "d15.data_GTAGATCTCTGGTGGC-1", "d15.data_CCTACGTCAGTTGAAA-1", "d15.data_CTCACTGCATCGGATT-1", "d15.data_ACCTACCGTATGCAAA-1", "d15.data_TTACAGGTCCGATAAC-1", "d15.data_CTCAACCTCGACCACG-1", "d15.data_GCTGAATTCTAGAACC-1", "d15.data_GAGGGATTCTACACTT-1", "d15.data_TCATTACCACCTTCCA-1", "d15.data_CGATGGCGTCAACCAT-1", "d15.data_GGGAGTATCAGATTGC-1", "d15.data_GCTCAAAGTTCGGGTC-1", "d15.data_TTACCGCCACAGGATG-1", "d15.data_TGTTGAGGTCGTTTCC-1", "d15.data_CGTTGGGTCGTAACAC-1", "d15.data_GAACACTGTGCGACAA-1", "d15.data_GTACAGTAGCCACAAG-1", "d15.data_TTGGGATAGCACAAAT-1", "d15.data_TCTTTGAAGGTCTACT-1", "d15.data_TCATTACAGACCATAA-1", "d15.data_TCCTCGAAGCAAATCA-1", "d15.data_AGGAGGTTCCCTGTTG-1", "d15.data_AACACACAGCACGATG-1", "d15.data_TTTCCTCTCAAGTCTG-1", "d15.data_GAAGTAATCACCATCC-1", "d15.data_ACGGTTAGTAATGCGG-1", "d15.data_TTAGGCAAGGTCTACT-1", "d15.data_TACTTACAGAATAGTC-1", "d15.data_AGTCTCCAGCAGCCTC-1", "d15.data_AGCATCAGTGGCTCTG-1", "d15.data_TGTGATGCACAAGCAG-1", "d15.data_CTGGCAGGTAGTATAG-1", "d15.data_TACCTCGGTTTGAACC-1", "d15.data_TTGCATTCATGGCTGC-1", "d15.data_ATTTCTGGTGCGTGCT-1", "d15.data_GTATTGGGTGCCGTAC-1", "d15.data_CCGTAGGCATGTTCGA-1", "d15.data_TTTACTGTCGTCAGAT-1", "d15.data_CTTCAATCAATTTCTC-1", "d15.data_TATCCTATCTAGTGTG-1", "d15.data_ACTTCGCAGCTAGCCC-1", "d15.data_AGGATCTAGCTTGTTG-1", "d15.data_GTGGAGACAAATGCTC-1", "d15.data_GTAGTACTCTCTCTAA-1", "d15.data_TTAGTCTGTCTGTGCG-1", "d15.data_CCATCACTCTCTGAGA-1", "d15.data_TGAGCATGTAGTATAG-1", "d15.data_TGTAGACCATTGCAAC-1", "d15.data_ATCACGACAGCTTCCT-1", "d15.data_GATTCGATCAATCAGC-1", "d15.data_TTGAACGGTATTGAGA-1", "d15.data_TCATTACAGTGGAAAG-1", "d15.data_GACTCTCCAAGACTGG-1", "d15.data_GTCTGTCGTTAACAGA-1", "d15.data_GCATCGGCAAACTGCT-1", "d15.data_CGATGCGTCTTTCCGG-1", "d15.data_ACTTCGCCATACAGCT-1", "d15.data_TTGGGTACAACTGCTA-1", "d15.data_TCATGTTCATGGCACC-1", "d15.data_GGTAACTAGTATGACA-1", "d15.data_CCCGAAGGTTAACAGA-1", "d15.data_GTCATCCCACACGCCA-1", "d15.data_GTATTGGCACTCTCGT-1", "d15.data_CTATCCGTCAGTGTCA-1", "d15.data_GTCGCGAAGCTAATGA-1", "d15.data_GGACGTCCAGGCAATG-1", "d15.data_AGGTCTAAGATGCAGC-1", "d15.data_GTTACAGGTATAGGAT-1", "d15.data_TTGGTTTTCGATACGT-1", "d15.data_ATACCGATCTCAATCT-1", "d15.data_GGAGCAACACATATGC-1", "d15.data_CGGGCATAGGACTATA-1", "d15.data_ATTTACCAGCGGTATG-1", "d15.data_CTGAATGAGTTGCTGT-1", "d15.data_TCATGTTGTTATCCAG-1", "d15.data_TCCAGAACAGTCAGCC-1", "d15.data_CCTCTAGTCATACGAC-1", "d15.data_TCGCAGGCACAAGCTT-1", "d15.data_AGGGTGAAGGTATTGA-1", "d15.data_ACATCCCGTGCAACAG-1", "d15.data_ATCACTTAGGGAACAA-1", "d15.data_TTCTAACCAAGTACCT-1", "d15.data_ATCCACCTCGTAGGAG-1", "d15.data_AACCTGAAGAGGTGCT-1", "d15.data_GTAGGAGTCCTCGCAT-1", "d15.data_TGAGGGACACGTGTGC-1", "d15.data_CTGCGAGCACTCAAGT-1", "d15.data_GCGGATCTCTCGACGG-1", "d15.data_GTGTGGCCACTCCGGA-1", "d15.data_TACCGAAAGCCTTGAT-1", "d15.data_TCCACGTAGACTAGAT-1", "d15.data_GGTTGTAGTTTAGTCG-1", "d15.data_TTACAGGCATAACTCG-1", "d15.data_ATTATCCCACTGCGTG-1", "d15.data_CGGAATTAGGGATCAC-1", "d15.data_ACACTGACAAGGCAAC-1", "d15.data_CGGAACCGTCAGACTT-1", "d15.data_GTTGTCCTCACCTGGG-1", "d15.data_CCTGCATCAACGTAAA-1", "d15.data_ATGTCCCAGGTAATCA-1", "d15.data_GAATCACGTACTGCGC-1", "d15.data_TATATCCGTTCAAAGA-1", "d15.data_CATAAGCCAAACCACT-1", "d15.data_GCACTAAAGCGTCGAA-1", "d15.data_ATGCCTCAGTACGAGC-1", "d15.data_ATGACCAGTTGTGTAC-1", "d15.data_TGGTAGTTCAAGATAG-1", "d15.data_GATTCGACACTCCACT-1", "d15.data_TCGACCTAGATCACCT-1", "d15.data_TCACGGGAGTATTGCC-1", "d15.data_CTCCACACACACGGTC-1", "d15.data_GACATCAGTTTCGACA-1", "d15.data_ATCACTTAGACAGTCG-1", "d15.data_TCATCCGGTTAAGTCC-1", "d15.data_CCTAAGATCTTCGGAA-1", "d15.data_ACTATTCTCTAGTCAG-1", "d15.data_TCCCATGTCTGCCCTA-1", "d15.data_AGTCATGCACAATGCT-1", "d15.data_CCTGTTGTCTCCAATT-1", "d15.data_GTACAGTAGGACAGTC-1", "d15.data_GCGAGAACATATGAAG-1", "d15.data_GATGATCTCCGAGATT-1", "d15.data_TTCTCTCGTCTTTCAT-1", "d15.data_GATAGAACAAACACGG-1", "d15.data_GAAGCGACATTCAGGT-1", "d15.data_TACCCGTTCGACGATT-1", "d15.data_GAATCGTTCGACCTAA-1", "d15.data_ACATGCATCCTGGGTG-1", "d15.data_CTACGGGGTGTCTTCC-1", "d15.data_AGACCCGGTGGTCCCA-1", "d15.data_CGACAGCTCTGCATGA-1", "d15.data_CTCATGCAGCAACAGC-1", "d15.data_GCACGTGCAAATCGGG-1", "d15.data_CGAGGAAGTATGCGGA-1", "d15.data_TCATACTTCCGAGGCT-1", "d15.data_CCCTCAATCGCTGTTC-1", "d15.data_CCAAGCGAGAAAGCGA-1", "d15.data_GAGGCCTCATCCTGTC-1", "d15.data_GCCAGCACACCAGTAT-1", "d15.data_ACTTTCAAGAAGCCTG-1", "d15.data_CCTCTAGGTGGTCTAT-1", "d15.data_AGGAGGTTCAGCTCTC-1", "d15.data_TGGAGAGAGGACAGTC-1", "d15.data_GCCGTGATCGGCCAAC-1", "d15.data_TGCTGAAAGACGCAGT-1", "d15.data_TGAATCGCATTGCCTC-1", "d15.data_AGCCACGTCAGACCCG-1", "d15.data_TCATGCCCACAAAGTA-1", "d15.data_TGTCCACAGCTTAGTC-1", "d15.data_CATCGGGAGAAAGTCT-1", "d15.data_CGAAGGACATTGACCA-1", "d15.data_AGCATCAAGGTACTGG-1", "d15.data_TGTGTGATCTGTCGTC-1", "d15.data_CCACGAGTCTCACCCA-1", "d15.data_GTTGCGGCAGCTATAC-1", "d15.data_ATCCACCGTAGTACGG-1", "d15.data_ACGGTTACACCGTACG-1", "d15.data_TACCCGTTCAGGCGAA-1", "d15.data_GACTGATGTAACAGTA-1", "d15.data_TTGCTGCTCTATGCCC-1", "d15.data_AAGAACAGTTGTCCCT-1", "d15.data_CAGATACCATTCCTCG-1", "d15.data_ACAGGGATCCATCTAT-1", "d15.data_ATACCTTAGTTTGCTG-1", "d15.data_GTCACGGGTCGCACGT-1", "d15.data_TTCACCGCACCGTGAC-1", "d15.data_TACCCGTGTTTAGTCG-1", "d15.data_GGCTTGGCAGTATACC-1", "d15.data_ATCGTCCTCGCTTACC-1", "d15.data_CTGCCTACACATACTG-1", "d15.data_CTTGATTAGACTACGG-1", "d15.data_TGGTTAGAGTATTGCC-1", "d15.data_CTTTCGGAGACATGCG-1", "d15.data_TAGACTGTCTAGTTCT-1", "d15.data_GACACGCTCACGATCA-1", "d15.data_TTACGCCGTCGTTATG-1", "d15.data_GATGACTTCCGAAGGA-1", "d15.data_GATGACTTCTGGGATT-1", "d15.data_GGGCTCAGTAGAATAC-1", "d15.data_ACATTTCTCATCCTGC-1", "d15.data_GTAGAAATCCGATGCG-1", "d15.data_GTGGCGTCAATGAGCG-1", "d15.data_GCCCGAAAGCATGGGT-1", "d15.data_AGGATCTAGCATTGTC-1", "d15.data_TGTTTGTCAGTGGTGA-1", "d15.data_AATGCCACAGACCAAG-1", "d15.data_CTACCTGGTTCTTAGG-1", "d15.data_TGCGGGTCAGCGTAGA-1", "d15.data_ATTTACCAGCGGACAT-1", "d15.data_ACTGATGGTTCTGACA-1", "d15.data_CGTTGGGCAGAAGCTG-1", "d15.data_GACCAATTCAGAGTGG-1", "d15.data_TCACACCAGTACAACA-1", "d15.data_CGGACACAGTCCGTCG-1", "d15.data_TCTCTGGGTTGGAGAC-1", "d15.data_GTCCTCATCAAGAATG-1", "d15.data_TCAGGGCAGGTAGCAC-1", "d15.data_TTCCTCTGTCGCAGTC-1", "d15.data_CGAGGCTAGTAGAGTT-1", "d15.data_CTCAACCCAGCCGTCA-1", "d15.data_AATGGAACACAGCCTG-1", "d15.data_CTTGATTCACGATAGG-1", "d15.data_GAGACCCGTAGACAAT-1", "d15.data_TTTGGAGGTTAAACAG-1", "d15.data_AGATAGATCGTGGCTG-1", "d15.data_CGTTCTGTCCTCTAAT-1", "d15.data_AACCAACCAGGATCTT-1", "d15.data_CTCCACATCGCGTAGC-1", "d15.data_CAGCCAGAGGTGATAT-1", "d15.data_AAGACAAAGGGCCCTT-1", "d15.data_CGCAGGTCACCCTATC-1", "d15.data_GGAATCTTCTCAACGA-1", "d15.data_TATATCCGTCTTGCGG-1", "d15.data_TTCTTGAAGATCGCCC-1", "d15.data_GGGTGAACAACACGAG-1", "d15.data_GAGTTACGTATACGGG-1", "d15.data_GTAGGAGGTTTCGTAG-1", "d15.data_CTGTATTCATGACTAC-1", "d15.data_TGCTTGCCATAACCCA-1", "d15.data_CATTCATTCAGGAAAT-1", "d15.data_CAACAGTTCGAAACAA-1", "d15.data_TACTGCCAGTTACTCG-1", "d15.data_GATGAGGTCAAGAAAC-1", "d15.data_TGTGGCGAGGTACAGC-1", "d15.data_AAAGGATGTCGTAATC-1", "d15.data_AGTGTTGAGTTAGAAC-1", "d15.data_TGATCAGTCAAAGGTA-1", "d15.data_AAGCGTTTCCCGTAAA-1", "d15.data_TATCAGGGTGACCGAA-1", "d15.data_GCACATAGTACGGCAA-1", "d15.data_CACAGGCAGGCTTCCG-1", "d15.data_TAACACGAGGCTATCT-1", "d15.data_AGGATCTAGCGAATGC-1", "d15.data_CTCGAGGTCGCAGAGA-1", "d15.data_CTGGACGGTACTCAAC-1", "d15.data_CCTTTGGCAATGTCTG-1", "d15.data_ATTCCATTCTAGTACG-1", "d15.data_ACTTTGTGTAGAATAC-1", "d15.data_TCAGTTTAGGCTAGCA-1", "d15.data_TCATTCAAGAATAGTC-1", "d15.data_CTCTCGAGTCAAAGAT-1", "d15.data_AGACAGGGTCGTACAT-1", "d15.data_TGAGCGCCACAGTCAT-1", "d15.data_GAGTCTAGTTGCCAAT-1", "d15.data_AACCATGGTCATAGTC-1", "d15.data_AGCCAGCTCGTTAGTG-1", "d15.data_GCACATATCGTCTAAG-1", "d15.data_ACGTAGTTCGACACCG-1", "d15.data_TACTTACCACAAGCAG-1", "d15.data_GCCTGTTTCCAACCGG-1", "d15.data_GAGTCATCACCACTGG-1", "d15.data_AGGTCATCAGATCCTA-1", "d15.data_GGCAGTCTCGAACCTA-1", "d15.data_TCTGGCTAGAATCGTA-1", "d15.data_CGTTCTGGTTGGTAGG-1", "d15.data_ACACCAAGTATGCTTG-1", "d15.data_ACTTATCGTTCTGACA-1", "d15.data_AACAACCCAAATGGCG-1", "d15.data_TGATTCTCACCGTGGT-1", "d15.data_CTCACTGCACTGGATT-1", "d15.data_ATTCACTTCAGCTGTA-1", "d15.data_ACGATGTCACCTGAAT-1", "d15.data_CCCTCAAAGTAGCCAG-1", "d15.data_TCCACCAAGCCAAGCA-1", "d15.data_GATCAGTTCTCCCATG-1", "d15.data_CAACCAAGTACAGAGC-1", "d15.data_GAAATGAGTCCAGCAC-1", "d15.data_AGATAGAGTAATGCTC-1", "d15.data_CGAGTTAAGAGTATAC-1", "d15.data_GCAGCTGTCTCGCAGG-1", "d15.data_CCACACTCACCCTGTT-1", "d15.data_AAACCCACACCAGTTA-1", "d15.data_ACGTACAAGGCAGGGA-1", "d15.data_ATTATCCAGTACTGTC-1", "d15.data_CAGGCCACATGACGTT-1", "d15.data_GTAGAGGCATCGAAGG-1", "d15.data_AACGTCAAGCCATTTG-1", "d15.data_GCGTTTCCACCCAATA-1", "d15.data_TGGGCTGTCCATTGTT-1", "d15.data_ATCGGATGTATCTTCT-1", "d15.data_TTGGGTACACAACGAG-1", "d15.data_TGGGAAGTCTCCGAGG-1", "d15.data_TCATCCGCACGACGCT-1", "d15.data_TTTGGAGAGATACTGA-1", "d15.data_TTCTCTCCAGCGTATT-1", "d15.data_ACAACCAAGGCCTGAA-1", "d15.data_GGCTGTGAGAGCCCAA-1", "d15.data_TTCGATTCAGTAACCT-1", "d15.data_GTCTACCCAGTTTCAG-1", "d15.data_GGAGGATTCGGTCAGC-1", "d15.data_GGGATGATCATCACTT-1", "d15.data_TCGACCTCAAATGAGT-1", "d15.data_GACAGCCCAACTCGTA-1", "d15.data_CATTGTTGTAGAGATT-1", "d15.data_TCCGAAAGTCTAATCG-1", "d15.data_CATCGGGTCACTACGA-1", "d15.data_TCATGTTTCAGTGTGT-1", "d15.data_ACTTATCAGACTGAGC-1", "d15.data_TTCAATCGTAATTGGA-1", "d15.data_GTGGGAACAGTGGTGA-1", "d15.data_ACACTGAGTAATTGGA-1", "d15.data_TATACCTGTTAACAGA-1", "d15.data_AGACCCGTCGTCTACC-1", "d15.data_TAGCACATCCTCGATC-1", "d15.data_CTGCGAGCACGCTGTG-1", "d15.data_ATCATTCAGGATACCG-1", "d15.data_TAGGTACGTACTGACT-1", "d15.data_GGGCCATTCTGAATCG-1", "d15.data_ACCAACACAGCCCACA-1", "d15.data_GTTGAACTCAGCTGAT-1", "d15.data_CACGTGGGTTCGGTAT-1", "d15.data_GACCGTGTCAGATTGC-1", "d15.data_GGAGGATCAAAGCACG-1", "d15.data_AGATCCAAGAAGGTAG-1", "d15.data_TTGACCCCATGACGTT-1", "d15.data_GAGATGGTCACCGGTG-1", "d15.data_CGGAATTCAAGTGATA-1", "d15.data_CCAATTTCACCGTACG-1", "d15.data_GTAGTACCATCCCGTT-1", "d15.data_AGCATCAGTAACGTTC-1", "d15.data_TTCCTTCGTACACGTT-1", "d15.data_CCTCATGGTATGAAGT-1", "d15.data_CAGGGCTTCGACGAGA-1", "d15.data_GAGACTTGTACTGTTG-1", "d15.data_GTAGAGGGTGCACGCT-1", "d15.data_TGAGACTTCTACCCAC-1", "d15.data_GCTCAAACAGTCGGTC-1", "d15.data_TAACACGTCGGAACTT-1", "d15.data_GTCATCCTCTTACGGA-1", "d15.data_AAACGCTCAACTCCAA-1", "d15.data_ACGTAGTCATAGAGGC-1", "d15.data_CATCCCAGTTCAAACC-1", "d15.data_CAGTTAGTCGAGCACC-1", "d15.data_CCGGACACACCTGATA-1", "d15.data_TTCAGGATCTCATTTG-1", "d15.data_CCCTCTCTCTCTCGCA-1", "d15.data_TCACGGGTCGCTACGG-1", "d15.data_GAGGCAACAGAGGACT-1", "d15.data_ACCCTTGTCGAGAATA-1", "d15.data_ATTTACCAGCACTTTG-1", "d15.data_GTCTGTCTCAGGACAG-1", "d15.data_CGGAACCAGCCTCAGC-1", "d15.data_ATGGATCAGCCATCCG-1", "d15.data_GTGAGTTTCCGGCAAC-1", "d15.data_TCCTCGATCGGCCAAC-1", "d15.data_TACACCCGTCATGCAT-1", "d15.data_AGAAGCGCAAACGAGC-1", "d15.data_GCTACCTGTTTGAAAG-1", "d15.data_AAGCCATTCTCCTGAC-1", "d15.data_ACGTAGTTCTGGGCAC-1", "d15.data_GTATTGGTCAACACCA-1", "d15.data_CTGCGAGGTTAGGCCC-1", "d15.data_ATTTACCGTGCCTTTC-1", "d15.data_GCATTAGCAAGCACAG-1", "d15.data_TAAGCCAAGCGACTTT-1", "d15.data_CACGTTCTCGGCGATC-1", "d15.data_TATCTTGTCTGTGCGG-1", "d15.data_CATTGTTTCGCCACTT-1", "d15.data_AGGTAGGTCTGGTGGC-1", "d15.data_GCAGTTAAGGGATCGT-1", "d15.data_TCGCACTGTATCCTCC-1", "d15.data_CCTCACAAGTCTGGAG-1", "d15.data_GACCTTCAGCTTCTAG-1", "d15.data_CAGTGCGTCATTTACC-1", "d15.data_TTTCCTCCACGGCCAT-1", "d15.data_ACAAAGAGTCATCTAG-1", "d15.data_TTTCGATTCCACGAAT-1", "d15.data_TTGGGTATCAGCATTG-1", "d15.data_GAGTTTGCACCGTGGT-1", "d15.data_CTCCACACACACCAGC-1", "d15.data_TTTCCTCTCTGGGAGA-1", "d15.data_GTGGCGTTCGTTTACT-1", "d15.data_GGTGTCGGTCACAGAG-1", "d15.data_TGACAGTTCCTGCCAT-1", "d15.data_TGGGCGTCAAGCGGAT-1", "d15.data_GGGACCTGTGATGAAT-1", "d15.data_CAAGGGAAGGGCTTCC-1", "d15.data_TATTCCAGTAGAGCTG-1", "d15.data_CGAAGTTCAGGTTCCG-1", "d15.data_ACTCTCGAGTCACTAC-1", "d15.data_TCTCAGCAGTGTAGAT-1", "d15.data_ACCACAAGTCTGTAAC-1", "d15.data_TGCTGAACACCGTGGT-1", "d15.data_GCCCGAACAAACCATC-1", "d15.data_GGGTCACGTGACTCGC-1", "d15.data_ACATCCCCAGACATCT-1", "d15.data_ATAGACCCACGTCTCT-1", "d15.data_CATAGACTCCTACACC-1", "d15.data_TACGGTACACACCGCA-1", "d15.data_ACTTTGTTCCCTGGTT-1", "d15.data_GCATCTCGTCCACGCA-1", "d15.data_AGAAGCGAGGTAGATT-1", "d15.data_AACAACCGTGTGAGCA-1", "d15.data_GAACGTTAGCCTCCAG-1", "d15.data_AGATCCAGTTGGTACT-1", "d15.data_TGGGAGAGTACTGTTG-1", "d15.data_TGTCAGACACTCCGAG-1", "d15.data_TTGTTCATCATGCCAA-1", "d15.data_TCACACCCAGTTAAAG-1", "d15.data_CTCTCAGTCCAGCAAT-1", "d15.data_GCGGATCAGGACAGTC-1", "d15.data_TTGGTTTAGCTGCCAC-1", "d15.data_GCTGCAGAGGCTATCT-1", "d15.data_GGTGTTACACCTGATA-1", "d15.data_ACACGCGCAAGTGATA-1", "d15.data_CATCCGTGTTCGGACC-1", "d15.data_TCACATTGTGGCTACC-1", "d15.data_GAACTGTTCGACGATT-1", "d15.data_CCCTAACTCAACGTGT-1", "d15.data_AAACCCAAGGCTCACC-1", "d15.data_ACCCTCAAGTTGTACC-1", "d15.data_TGAATGCCAAAGCACG-1", "d15.data_AGGGCCTTCTGCCTCA-1", "d15.data_AGATCGTAGATACGAT-1", "d15.data_AATCACGGTGTCTCCT-1", "d15.data_AGGTTACCACGTTGGC-1", "d15.data_TTCTAACAGGTGAGCT-1", "d15.data_ATTCACTGTCTTTCAT-1", "d15.data_CATTCATTCGACCACG-1", "d15.data_TGGTAGTTCTCTGCCA-1", "d15.data_CTGAGGCGTGTTGCCG-1", "d15.data_CGTTGGGAGCTGTCCG-1", "d15.data_TTCGGTCGTTTCCAAG-1", "d15.data_TTGACCCTCAACTACG-1", "d15.data_AACCCAATCGGCAGTC-1", "d15.data_CGCCAGATCCCAGTGG-1", "d15.data_TGACCCTAGGTCCAGA-1", "d15.data_TCGACCTGTGGTAACG-1", "d15.data_CAAGACTGTCACTGAT-1", "d15.data_TTCCTCTCACGCTTAA-1", "d15.data_GACACGCCACCTCGTT-1", "d15.data_TACTTGTGTGAGATTA-1", "d15.data_ACGTACATCCACCCTA-1", "d15.data_GCGGAAACAGGGATAC-1", "d15.data_AATCACGCATCCGGCA-1", "d15.data_ACGATGTAGCACCGAA-1", "d15.data_GTTACCCAGAAACACT-1", "d15.data_CACAGGCCAGCCATTA-1", "d15.data_TTTACGTAGACTTCCA-1", "d15.data_TGTGAGTGTCCCTCAT-1", "d15.data_TTTACCAAGTTCCAGT-1", "d15.data_ACTGTCCGTCAAAGTA-1", "d15.data_TTAGGCAGTTTGAAAG-1", "d15.data_CCGATGGCAATACGCT-1", "d15.data_ACTATTCTCTGAATCG-1", "d15.data_ATTCATCGTTCGGTTA-1", "d15.data_ATACTTCTCATTGCCC-1", "d15.data_CCCTAACGTCTGCCTT-1", "d15.data_CTCTCGAGTGCGTTTA-1", "d15.data_TAACCAGAGGTTCTAC-1", "d15.data_CTTAGGAAGTCAAGCG-1", "d15.data_AGTAGCTCATTCCTAT-1", "d15.data_AGTAGCTGTATGAAAC-1", "d15.data_GTCTCACTCCATCCGT-1", "d15.data_ACTTCCGTCTACCACC-1", "d15.data_AGGGTCCCACGCACCA-1", "d15.data_GGTGATTTCTGATGGT-1", "d15.data_TGGTGATGTAACGCGA-1", "d15.data_TTCTAACCAAGTGGAC-1", "d15.data_TTCTTCCTCCCGTTCA-1", "d15.data_CCGATGGGTCATCGGC-1", "d15.data_AGCGCTGTCCATTTGT-1", "d15.data_CAGATTGAGTAAGCAT-1", "d15.data_CTCGAGGGTTGGACCC-1", "d15.data_CGTCCATCACGTCATA-1", "d15.data_TTTACCATCCGTGTAA-1", "d15.data_GTTACCCAGACTGTTC-1", "d15.data_ATTCGTTCAGACGCTC-1", "d15.data_TCCTCTTGTTTGGCTA-1", "d15.data_CCGTTCATCTGGCTGG-1", "d15.data_AGCGATTAGTTTGAGA-1", "d15.data_TTATTGCGTTGCTCGG-1", "d15.data_GTCAAACAGAGCTGCA-1", "d15.data_AACAAGACACAGCCTG-1", "d15.data_CCGGGTAAGGCAGGGA-1", "d15.data_TCTTGCGCAACTCGAT-1", "d15.data_CTCGAGGCACGAGGAT-1", "d15.data_TCATACTAGCGGGTAT-1", "d15.data_ACCCAAAAGAATTGCA-1", "d15.data_CCTAAGATCGTAGAGG-1", "d15.data_CTCCCTCTCATTCATC-1", "d15.data_AGAACAAAGAAGCTGC-1", "d15.data_TGTGTGAAGTATAGAC-1", "d15.data_AGAAGTATCTATCCAT-1", "d15.data_TCACGCTGTAAGATAC-1", "d15.data_TACATTCTCACCGGGT-1", "d15.data_CTCATTAAGGATATAC-1", "d15.data_TTGTTTGCATGAGAAT-1", "d15.data_CTACAGACAACACACT-1", "d15.data_GCTACAATCATGAGGG-1", "d15.data_TGCACGGAGGCCTTCG-1", "d15.data_TGCGATATCAGCCCAG-1", "d15.data_CTAACTTGTTGCTTGA-1", "d15.data_ACGTACAGTGGAGAAA-1", "d15.data_GAAGCGAAGCTATCCA-1", "d15.data_GAAGCGATCGTTCATT-1", "d15.data_CTTGAGACAATAGTCC-1", "d15.data_GTCATCCTCGCGTGCA-1", "d15.data_CTCGAGGTCCTTTAGT-1", "d15.data_TACCTCGTCGTTATCT-1", "d15.data_TATACCTTCGTTAGAC-1", "d15.data_TCGGGACTCATGCCAA-1", "d15.data_GTCAAGTCAGTTTCGA-1", "d15.data_GTCTAGAGTTGCCAAT-1", "d15.data_TGACGCGAGCCTAGGA-1", "d15.data_AGACCATTCTCAACGA-1", "d15.data_ACCCTCAAGACAAGCC-1", "d15.data_ACCCAAACACTTGTGA-1", "d15.data_GTTATGGTCCATTTAC-1", "d15.data_AACGAAACACCCTAGG-1", "d15.data_GGTAATCGTTGGGTTT-1", "d15.data_CAGATACGTCAACACT-1", "d15.data_TACTTCATCCGGGACT-1", "d15.data_TACCGAAGTTTGAACC-1", "d15.data_CTCCAACCACATATCG-1", "d15.data_GAATAGAGTTCGAAGG-1", "d15.data_CATCCACGTGGCTTAT-1", "d15.data_ATCGATGCAAGTGGAC-1", "d15.data_AGATGCTTCATTGAGC-1", "d15.data_CAGATTGCAGCTGTAT-1", "d15.data_GGAGGATCAGAAATTG-1", "d15.data_AAACCCATCTAAGAAG-1", "d15.data_TCATGTTTCTCAGAAC-1", "d15.data_GGAGCAACACCAGACC-1", "d15.data_TCAGCCTCAACATACC-1", "d15.data_GTGCACGCATCATGAC-1", "d15.data_CACCAAATCCGCACTT-1", "d15.data_AAAGGGCTCGCAGTCG-1", "d15.data_TCCTTTCTCTGATGGT-1", "d15.data_ATTGGGTAGTAGGGTC-1", "d15.data_GTGCGTGAGCTCGACC-1", "d15.data_CAAAGAAGTATCACCA-1", "d15.data_GTATTTCCATCCGAAT-1", "d15.data_GTTACAGGTCTTTCTA-1", "d15.data_GCAACATAGTTGAAGT-1", "d15.data_AACGTCAAGCAGATAT-1", "d15.data_CTTCGGTTCGAACCTA-1", "d15.data_CTACCTGTCGCATGAT-1", "d15.data_GCCTGTTCAAGAGAGA-1", "d15.data_GTGCGTGCATGGGATG-1", "d15.data_CTGTACCTCTTGTTAC-1", "d15.data_CAATGACTCCCATACC-1", "d15.data_TCAGTCCGTTGATGTC-1", "d15.data_CCTCAACGTACAAACA-1", "d15.data_ACAGAAACACCACTGG-1", "d15.data_CACGTTCGTTTACTGG-1", "d15.data_CAACCTCTCCCAAGTA-1", "d15.data_TCACGGGAGGGCAAGG-1", "d15.data_TACCCGTTCACTGTCC-1", "d15.data_AGACACTAGCAACTTC-1", "d15.data_GGGTGAAAGATCCTAC-1", "d15.data_CTCAACCCATCTCGTC-1", "d15.data_CTCCTCCCACAAGCCC-1", "d15.data_GATCACACACACGCCA-1", "d15.data_TTCTAACGTACGTACT-1", "d15.data_GAATAGAGTCTTCAAG-1", "d15.data_TAGATCGGTCCGGCAT-1", "d15.data_ACTTATCCAACGATTC-1", "d15.data_TTGGGCGTCCAATGCA-1", "d15.data_GGGCTCATCACCTCTG-1", "d15.data_GCCAGGTTCAAAGCCT-1", "d15.data_TATTCCAGTCTCAGAT-1", "d15.data_GATAGCTCAGGGTCTC-1", "d15.data_AGAGAATGTACATACC-1", "d15.data_TAGACTGGTCACTCGG-1", "d15.data_AAGTGAATCGAGTACT-1", "d15.data_CATGCAATCGAGAAGC-1", "d15.data_TTCCTAACAGGGACTA-1", "d15.data_TTACCATCATAAGCGG-1", "d15.data_CACAGATGTAGCGCCT-1", "d15.data_TCGGTCTCACTCAAGT-1", "d15.data_GAAGGACGTGAGAGGG-1", "d15.data_TCTAACTGTGTGACCC-1", "d15.data_GTAGCTAGTACCGGCT-1", "d15.data_ATCACAGCAACTCGTA-1", "d15.data_ACGATCAGTCGCTTAA-1", "d15.data_TCTACATTCGCCAGTG-1", "d15.data_TTGTTCAGTCATAACC-1", "d15.data_GCCATTCGTTTCACAG-1", "d15.data_AAACGCTCACGCAAAG-1", "d15.data_ACGATCAAGCACTCGC-1", "d15.data_ACGTAGTGTGTACATC-1", "d15.data_GAGTCATCACTAGTAC-1", "d15.data_GTACAACGTACCTAAC-1", "d15.data_ACGGTTACAGCCTTCT-1", "d15.data_TCAAGACAGTCCTGCG-1", "d15.data_TAACGACCAGTCAGTT-1", "d15.data_CATTGCCGTAGGTCAG-1", "d15.data_CACAACATCCTTTGAT-1", "d15.data_TTGCCTGCAGCACGAA-1", "d15.data_GCATCTCCAGACAATA-1", "d15.data_AGAGCCCAGGTCGTAG-1", "d15.data_GTGAGCCTCTCGGTCT-1", "d15.data_TCGCACTAGCAACAAT-1", "d15.data_GCCATGGGTCGTATGT-1", "d15.data_ATTCCTAGTAGGACCA-1", "d15.data_TCCTAATAGGCCTGAA-1", "d15.data_AAGACTCCAGTGCGCT-1", "d15.data_AGTTCGATCAGAGCGA-1", "d15.data_GACGCTGTCATCGTAG-1", "d15.data_TAACGACTCACAGTGT-1", "d15.data_CTGCTCAGTCTGTCCT-1", "d15.data_GATAGAACAGGCGTTC-1", "d15.data_TCAAGACAGGTCCCGT-1", "d15.data_TCGCACTCAAGCGATG-1", "d15.data_CTTCCTTAGTCATCGT-1", "d15.data_TGATTTCGTTCCTACC-1", "d15.data_CGCCATTTCGCAGATT-1", "d15.data_GGGCTCAGTTCGAACT-1", "d15.data_ATCACAGCAAGGAGTC-1", "d15.data_CCGGTAGTCCCTTTGG-1", "d15.data_ATCACTTCAGTTCTAG-1", "d15.data_ACCACAACAAATCCCA-1", "d15.data_CACGAATCATTGCCTC-1", "d15.data_GAACGTTTCAGGAAAT-1", "d15.data_AACAAGATCCGTATGA-1", "d15.data_GAGTTACGTCCACTCT-1", "d15.data_AAGTCGTCACCGGTCA-1", "d15.data_AACAAAGTCGTGCTCT-1", "d15.data_GCTTTCGTCACTCCGT-1", "d15.data_GTCTACCAGTCGAAGC-1", "d15.data_TTCCGGTTCACCTACC-1", "d15.data_AACGAAAGTTCCTTGC-1", "d15.data_ATACCGAAGCTTCATG-1", "d15.data_CCGGACATCAGTGTTG-1", "d15.data_CTGTGGGTCATACGGT-1", "d15.data_CTACCTGTCCTAAGTG-1", "d15.data_CCGTGAGTCCGAAATC-1", "d15.data_GCTGCAGCAACCGTAT-1", "d15.data_ACTTATCCACAAGTTC-1", "d15.data_CCTGCATAGCAAACAT-1", "d15.data_AATGACCAGGCATCTT-1", "d15.data_ACTTAGGAGCCTTCTC-1", "d15.data_GCCCGAATCCACCTGT-1", "d15.data_GTCTAGACACATACTG-1", "d15.data_TCTTAGTCAGCACACC-1", "d15.data_GTCTACCCAAGCCATT-1", "d15.data_CGAGGCTCACCCTAAA-1", "d15.data_CGCGTGAAGTGCTAGG-1", "d15.data_CATGAGTAGCCAACCC-1", "d15.data_TCCTGCATCGCGTGCA-1", "d15.data_GTGCACGGTTACTCAG-1", "d15.data_ATGGATCCATACATCG-1", "d15.data_CCTCAGTCAAACCACT-1", "d15.data_CGCCATTCAGCAGATG-1", "d15.data_TTACCGCTCCATCTAT-1", "d15.data_CATACCCTCGGTCTAA-1", "d15.data_AATTCCTTCCACAGCG-1", "d15.data_TCCTTTCGTCAGACGA-1", "d15.data_ATTCCTACAGGCATTT-1", "d15.data_ATTGTTCCAACCAACT-1", "d15.data_GAGACCCCAACACTAC-1", "d15.data_CTCTCAGTCATTCCTA-1", "d15.data_AGTTAGCTCGCTCATC-1", "d15.data_CTTCCTTAGACGCCAA-1", "d15.data_AATGACCAGCCTCAAT-1", "d15.data_CTCCACAGTACCGGCT-1", "d15.data_CTAACCCAGCTGTACT-1", "d15.data_GAGTTGTCAATACAGA-1", "d15.data_GCAGGCTTCCCATGGG-1", "d15.data_TTACCGCCACAATGCT-1", "d15.data_TGCCGAGGTGGACTGA-1", "d15.data_ATTCCATGTCCTCATC-1", "d15.data_GCATCTCGTGGTCCGT-1", "d15.data_CATTGAGCAGCACGAA-1", "d15.data_CATGAGTTCTTAGCAG-1", "d15.data_CCCGGAAAGCTCCACG-1", "d15.data_GGAGGATCAAGGCGTA-1", "d15.data_CGTAATGTCCTTCAGC-1", "d15.data_CATACCCTCACACCGG-1", "d15.data_GATCATGCAATCTCTT-1", "d15.data_TGGGAGATCAGCGCAC-1", "d15.data_AGTGACTCATGAAAGT-1", "d15.data_GAGACCCTCTTGGATG-1", "d15.data_CATCCGTGTGGCCCAT-1", "d15.data_CCAAGCGAGGATACCG-1", "d15.data_CTGAATGCACCCTAGG-1", "d15.data_AACAAAGGTCATCCCT-1", "d15.data_TGTTACTCACACCTGG-1", "d15.data_CGTGAATTCCCTGGTT-1", "d15.data_ACATTTCAGTAGTCTC-1", "d15.data_CCTACGTCACGTACTA-1", "d15.data_GCCCAGACAGCTTTCC-1", "d15.data_TTAATCCTCTAGGCAT-1", "d15.data_TACACCCGTCGGAACA-1", "d15.data_TAAGCCAAGCGAATGC-1", "d15.data_GACTCAACACGGCTAC-1", "d15.data_CTGTGGGCAACCGATT-1", "d15.data_TCCTCCCGTATTGACC-1", "d15.data_GGTCACGGTATCCTTT-1", "d15.data_TCAAGACGTGAATAAC-1", "d15.data_ATGAGGGAGATGACCG-1", "d15.data_TCAGTCCGTTCTCGCT-1", "d15.data_CTCAACCGTCACTCAA-1", "d15.data_CATACCCCACCGCTGA-1", "d15.data_ATGTCTTGTAGTGATA-1", "d15.data_CATCAAGAGATACAGT-1", "d15.data_GTCATGAGTCGCCTAG-1", "d15.data_ACACAGTTCGATAACC-1", "d15.data_AGAACCTCAGAGGCAT-1", "d15.data_GCTACCTGTGGAGAAA-1", "d15.data_TTCCTTCTCAGTCAGT-1", "d15.data_TGGGAGAAGTCCCAAT-1", "d15.data_CGGAATTCACATGGTT-1", "d15.data_TCAGGGCAGGTTTGAA-1", "d15.data_GGTCACGTCTAGAACC-1", "d15.data_CCTGCATGTTACGCCG-1", "d15.data_GGTCACGAGGGCAGTT-1", "d15.data_CATCGGGCAAACAGGC-1", "d15.data_GCCTGTTTCGGATAAA-1", "d15.data_TGGGATTCAGTCACGC-1", "d15.data_CAACGGCCAACTGAAA-1", "d15.data_AGACAAAAGTCAGCCC-1", "d15.data_TCATGCCTCATAGCAC-1", "d15.data_CCATCACCACATGAAA-1", "d15.data_TCGTAGAGTCCAAAGG-1", "d15.data_CTTCCGACACCGGCTA-1", "d15.data_CTCCGATGTTGCAACT-1", "d15.data_AGACTCAGTCAACCAT-1", "d15.data_ATTCATCAGCACACCC-1", "d15.data_CAGGTATCAAGAGATT-1", "d15.data_GGACGTCCACAGAGCA-1", "d15.data_GTTGAACCACTTACAG-1", "d15.data_ACGGGTCCAGCAGAAC-1", "d15.data_ATATCCTGTGCAACGA-1", "d15.data_CGAGGCTCAGTTGTTG-1", "d15.data_TTCAATCCATTCTCCG-1", "d15.data_CCTGCATTCGCCAGTG-1", "d15.data_TCAAGACAGACCAACG-1", "d15.data_GAGTGTTCATCGTTCC-1", "d15.data_TCTTAGTCACTATCGA-1", "d15.data_CGCGTGAGTATTCCTT-1", "d15.data_AGATGCTCAAGTGCAG-1", "d15.data_CAAGAGGAGAGGGTGG-1", "d15.data_CCTCCAACAAGAGTGC-1", "d15.data_GTAGAAATCGACCACG-1", "d15.data_TCGCACTTCTAGGCCG-1", "d15.data_GGGACTCTCGACACTA-1", "d15.data_GGCGTCACACGCGTCA-1", "d15.data_CTAGACACAATTGAAG-1", "d15.data_TAGATCGCACCTCGTT-1", "d15.data_GGGACCTTCTCCAATT-1", "d15.data_AGAGCCCAGGGAGAAT-1", "d15.data_TGGTTAGGTGCGGTAA-1", "d15.data_TCTATCATCATACGAC-1", "d15.data_GACTCTCCACCCATAA-1", "d15.data_ATTACTCGTTCCTTGC-1", "d15.data_GAGTTTGCAAAGGTTA-1", "d15.data_AACCTGAAGAAGTCTA-1", "d15.data_CGCAGGTAGGTCACAG-1", "d15.data_TTGCATTCAGCATTGT-1", "d15.data_ACCGTTCTCCACTGAA-1", "d15.data_CCAATTTGTATCCCTC-1", "d15.data_AGCCAGCCACTATCCC-1", "d15.data_CATCGCTGTGAATTAG-1", "d15.data_CCTTCAGGTCTTGCTC-1", "d15.data_CATCCCACAGGCTATT-1", "d15.data_TGCTTGCGTTAAGCAA-1", "d15.data_TCCTTTCCACATTACG-1", "d15.data_CATTTCACAGGCGAAT-1", "d15.data_GAATAGAGTCGAGTGA-1", "d15.data_CAGCAGCCATCAGTGT-1", "d15.data_CAGCACGGTGGACCTC-1", "d15.data_TGGGTTAAGTGATTCC-1", "d15.data_CGCATGGTCACTGTTT-1", "d15.data_CCGTTCAGTACAGTCT-1", "d15.data_TGAATCGAGCAAGCCA-1", "d15.data_GCATCGGCAACACGTT-1", "d15.data_TCGGGCAAGCAAATCA-1", "d15.data_GTCCACTTCAGCCTTC-1", "d15.data_TAACGACTCACCGGGT-1", "d15.data_TGATCTTAGGCCACTC-1", "d15.data_TACAACGCAATTGCCA-1", "d15.data_TCAGGTACAAGGCGTA-1", "d15.data_GTAGTACCACCGTGCA-1", "d15.data_TTAGGCATCAAGAAAC-1", "d15.data_CATTCATAGCACTCTA-1", "d15.data_CTTCAATCAGAGATGC-1", "d15.data_TACCGGGGTGTGACCC-1", "d15.data_ACCTACCAGCATCTTG-1", "d15.data_TCCTGCAGTCAAAGTA-1", "d15.data_ATCTCTACACTCTAGA-1", "d15.data_CGGAACCAGGGAGTGG-1", "d15.data_AGATGAATCACTCACC-1", "d15.data_TGAGGGAAGAAGCCAC-1", "d15.data_ATCGCCTGTGTCTTCC-1", "d15.data_TTTAGTCTCCATCTAT-1", "d15.data_GGAAGTGCACTTCCTG-1", "d15.data_CTAACTTGTCGGTACC-1", "d15.data_GTGAGCCTCGCATGAT-1", "d15.data_CAAGGGACACATATGC-1", "d15.data_GATTTCTCACAGTCGC-1", "d15.data_TGCATGAGTCCACACG-1", "d15.data_TGCATCCGTACTAGCT-1", "d15.data_GACAGCCCACTCCCTA-1", "d15.data_TTACGTTTCCAGCAAT-1", "d15.data_TGCTTCGCACTGCATA-1", "d15.data_GGTGAAGCAGCGTTTA-1", "d15.data_AGGTCTATCGGCACTG-1", "d15.data_CACGGGTTCAACCTTT-1", "d15.data_CACTGTCGTTCGTTCC-1", "d15.data_ACAGCCGAGAAATTGC-1", "d15.data_CGGAACCCATCCGAAT-1", "d15.data_CCCTCAAAGACGACTG-1", "d15.data_GAGACCCTCACCTCGT-1", "d15.data_TAGCACAGTTCCGCGA-1", "d15.data_CGTTAGAAGTTCACTG-1", "d15.data_GTACAGTAGCCAAGTG-1", "d15.data_ATCCATTGTCACTCGG-1", "d15.data_CACTGTCCACACGTGC-1", "d15.data_CGTGATACACCAAATC-1", "d15.data_GTTAGACCATACCGTA-1", "d15.data_ATCACAGAGACTCGAG-1", "d15.data_ATCCCTGGTGACAGCA-1", "d15.data_TTTACGTCAATCAAGA-1", "d15.data_ACCATTTTCTGACAGT-1", "d15.data_CAGATCATCCCTGTTG-1", "d15.data_TCTATCAAGGTTCAGG-1", "d15.data_AAACGCTAGACGAGCT-1", "d15.data_CTCCTCCTCGATGCAT-1", "d15.data_CGAGTGCAGATCGACG-1", "d15.data_GGTGATTGTACTGGGA-1", "d15.data_AAGAACAAGACTACCT-1", "d15.data_CGACAGCAGCGCCCAT-1", "d15.data_CAAAGAAGTAACATAG-1", "d15.data_CACGTTCTCGTAATGC-1", "d15.data_ACACGCGCATCTATCT-1", "d15.data_TACATTCTCACCTACC-1", "d15.data_CCAATGATCCGACGGT-1", "d15.data_AACCCAACATCGTCCT-1", "d15.data_TTCAATCCAGGTCAGA-1", "d15.data_CTGCCATCAGCATTGT-1", "d15.data_TCATATCCACAACGTT-1", "d15.data_ATCCATTCAAAGCACG-1", "d15.data_CTCCATGCAATCGCCG-1", "d15.data_ATGAAAGTCCTCACTG-1", "d15.data_GTCATGACAGCGGTTC-1", "d15.data_CCGTAGGCAGCAGACA-1", "d15.data_AAAGGATCACACGCCA-1", "d15.data_TGGTACAGTGAACTAA-1", "d15.data_TTGGGATCATGCGGTC-1", "d15.data_TCATATCCAGCAAGAC-1", "d15.data_CCGTTCACAGTCTCTC-1", "d15.data_ATGCCTCCAATCGCAT-1", "d15.data_GGGTGTCTCGTAACTG-1", "d15.data_CTACATTTCTTCGGAA-1", "d15.data_TATATCCTCGAACACT-1", "d15.data_TACACCCAGCTATCTG-1", "d15.data_CACGAATTCACGACTA-1", "d15.data_AAACGCTTCTGCAGCG-1", "d15.data_AGCTCAACACAAAGCG-1", "d15.data_AACAACCTCTACCCAC-1", "d15.data_ACCAAACAGTCATGCT-1", "d15.data_AGTACCACACAATCTG-1", "d15.data_TACGTCCGTAACGGTG-1", "d15.data_AAGAACAGTGCTGCAC-1", "d15.data_CGAATTGCAAGAGAGA-1", "d15.data_TAAGCGTAGCCACCGT-1", "d15.data_CAGCCAGCAATACCTG-1", "d15.data_AAACCCATCGATCCCT-1", "d15.data_ATTCAGGCAGAGTTCT-1", "d15.data_TCTCACGTCCCTTCCC-1", "d15.data_CTGCATCTCCTACGAA-1", "d15.data_CAACAGTGTGATTAGA-1", "d15.data_CAATTTCTCTGTCCGT-1", "d15.data_TAATCTCCAATGCTCA-1", "d15.data_GGGACAATCCCGTGAG-1", "d15.data_ACTTATCAGAGCTGAC-1", "d15.data_TGGTGATGTAGACTGG-1", "d15.data_TCATGCCCACCTGCTT-1", "d15.data_CGTGCTTAGTTTCGAC-1", "d15.data_AAATGGAGTTCCGTTC-1", "d15.data_ATGGGAGTCTGGACTA-1", "d15.data_CTCCAACGTAAGTTAG-1", "d15.data_GATTCGATCCCGAAAT-1", "d15.data_ACGTAGTCACCGTGGT-1", "d15.data_TCCTGCATCCTCATAT-1", "d15.data_AGTTCCCCAGGCACTC-1", "d15.data_TCAATTCTCATCTACT-1", "d15.data_ACAGCCGAGCAATTCC-1", "d15.data_TTCAGGACAGTCAGCC-1", "d15.data_AGACCATTCAGCTGAT-1", "d15.data_TCCTGCACACCGTACG-1", "d15.data_ACGGTCGAGTCACAGG-1", "d15.data_GATGGAGCAATACCTG-1", "d15.data_TGACGCGAGAATTCAG-1", "d15.data_TTACCGCTCTCCTGCA-1", "d15.data_GGTCACGCAAGTGGCA-1", "d15.data_TGTTACTAGCGCCTCA-1", "d15.data_GAGGCCTGTCGCATTA-1", "d15.data_AACCTTTTCGGCTGAC-1", "d15.data_GGTCACGTCACATACG-1", "d15.data_TCCTAATTCTGGCCAG-1", "d15.data_AACCACAGTAGTCCTA-1", "d15.data_AATTTCCTCGTTCCTG-1", "d15.data_TGGAACTCAAACCATC-1", "d15.data_GGTGTCGCACGGATCC-1", "d15.data_GAAGGGTTCAGCACCG-1", "d15.data_ATCGTGACACTACGGC-1", "d15.data_CTGCGAGTCGGATTAC-1", "d15.data_TCTCAGCTCCGTCACT-1", "d15.data_TACCGAAAGCGCCTAC-1", "d15.data_TCAGTGAGTCACTTAG-1", "d15.data_AACAACCAGACAGCTG-1", "d15.data_TACCCACCATTCAGCA-1", "d15.data_TGGGAAGTCTAACGGT-1", "d15.data_TCTAACTTCTGACCCT-1", "d15.data_GCCAGTGCAGAATGTA-1", "d15.data_GAGGGATAGCGAAACC-1", "d15.data_AGGTAGGGTCGGCTAC-1", "d15.data_CGCCATTTCTCACTCG-1", "d15.data_AGTCATGAGTAACGTA-1", "d15.data_TCACGCTTCACTGTCC-1", "d15.data_TTAGGGTCATCGTTCC-1", "d15.data_ACATCGACACAAGCCC-1", "d15.data_CCGGGTATCATACGAC-1", "d15.data_TGCTCCACAAACTAGA-1", "d15.data_AACAAGACAACAACAA-1", "d15.data_TCAAGACTCAAACCTG-1", "d15.data_TTCAGGAAGTTACGTC-1", "d15.data_GTGTCCTAGGGAACAA-1", "d15.data_GTAGTACAGGAATTAC-1", "d15.data_GGGAGTACATGGCGCT-1", "d15.data_CATGAGTTCCTTCACG-1", "d15.data_TTCCTAAGTTGTCAGT-1", "d15.data_TGGAACTGTTTGCAGT-1", "d15.data_TTCACGCGTTCGATTG-1", "d15.data_CAGATTGCACGGTGTC-1", "d15.data_CAACCAAAGTGACCTT-1", "d15.data_TTTATGCTCCAACCAA-1", "d15.data_TGATCAGTCCTACGGG-1", "d15.data_AGAAGTATCTGCGGCA-1", "d15.data_TCTACATAGGCCTAGA-1", "d15.data_GATGAGGGTAACATAG-1", "d15.data_CCTACGTTCTAAACGC-1", "d15.data_CATAGACTCAATCAGC-1", "d15.data_ACCATTTTCCTTTGAT-1", "d15.data_ACGATCATCGTTCATT-1", "d15.data_TCCATGCTCTTGGGCG-1", "d15.data_TGATTTCTCATTCCTA-1", "d15.data_CCAATGAGTTTCCAAG-1", "d15.data_TATCCTACACCGTCGA-1", "d15.data_TACGCTCGTCACCGAC-1", "d15.data_AGGGCTCGTAGCCCTG-1", "d15.data_GATCCCTTCGTGCACG-1", "d15.data_AGTTAGCAGCGGATCA-1", "d15.data_CAGATACTCGAACGCC-1", "d15.data_GTGGAAGGTACCTTCC-1", "d15.data_AACAAGAAGGTTCACT-1", "d15.data_TGTAGACGTATTTCCT-1", "d15.data_GTCTTTAGTAGCGTAG-1", "d15.data_TACAACGGTCGTTGCG-1", "d15.data_ATCTTCACATGCAGGA-1", "d15.data_TTCCTCTGTGCTGATT-1", "d15.data_TGAGCGCCAGTAACCT-1", "d15.data_CACGTTCGTGCTTATG-1", "d15.data_GGGTATTGTGTCGATT-1", "d15.data_ATCCCTGGTATCCCTC-1", "d15.data_AATGCCAGTATTGACC-1", "d15.data_CGTTAGAAGTCGCTAT-1", "d15.data_ACCCTCAGTTACCGTA-1", "d15.data_GTGTAACAGATGAAGG-1", "d15.data_GAAGTAAAGTATAGAC-1", "d15.data_TGATGCAGTCGGTGAA-1", "d15.data_TAGGGTTTCTCGCAGG-1", "d15.data_TTCTTGATCGAGTCCG-1", "d15.data_GGTTGTAGTCTGATAC-1", "d15.data_CCGATCTCACATATCG-1", "d15.data_CATACTTAGTAGTCAA-1", "d15.data_TTTACGTAGAAGTCTA-1", "d15.data_GATCAGTTCTTTGCAT-1", "d15.data_CTCAGTCGTTGCGAAG-1", "d15.data_ACTTTGTGTAACGCGA-1", "d15.data_TCCATGCAGAAGCTGC-1", "d15.data_CCCGAAGCACCACATA-1", "d15.data_TCAAGACAGCCTGACC-1", "d15.data_GTCTAGAGTGCATGAG-1", "d15.data_CATTTCATCCAAACCA-1", "d15.data_CATTCTAAGAAGCGGG-1", "d15.data_AGACCATCATCTCCCA-1", "d15.data_TGTGAGTAGTATGGCG-1", "d15.data_AAGTTCGAGCTCATAC-1", "d15.data_TTTGTTGAGGGCAGAG-1", "d15.data_CGAAGGATCGTCTCAC-1", "d15.data_CCAATTTGTAAGCAAT-1", "d15.data_TTACCATCATTGCAAC-1", "d15.data_CGAAGGACATCTGGGC-1", "d15.data_TGGAGAGAGCCACAAG-1", "d15.data_GAGTTGTGTCACCGCA-1", "d15.data_AAGCGAGGTACCTAAC-1", "d15.data_GGGTCACGTATGTCAC-1", "d15.data_GAGTGTTTCTCTCGAC-1", "d15.data_CTTACCGCAGACTCTA-1", "d15.data_CAGCACGGTCCTACGG-1", "d15.data_CTACGGGAGACATAGT-1", "d15.data_TTTCATGGTAGAAACT-1", "d15.data_ATTCATCCATACTTTC-1", "d15.data_CATTGTTCACGTGAGA-1", "d15.data_TCTATCAAGCGTGAGT-1", "d15.data_TCATGTTAGTCTTCCC-1", "d15.data_CTAGGTATCTGCTTTA-1", "d15.data_AGGGTGAGTAGGCTGA-1", "d15.data_ACTCTCGTCCGACATA-1", "d15.data_TCTACATGTCCTTAAG-1", "d15.data_GTGGAAGGTTTCCAAG-1", "d15.data_TAGGTTGTCCGATAAC-1", "d15.data_AGCTCAAGTTACCTGA-1", "d15.data_CATCGTCCATCGAACT-1", "d15.data_GCTCAAAAGCCGGATA-1", "d15.data_AGTGCCGCACCTCTAC-1", "d15.data_GAATAGAAGTCCTGTA-1", "d15.data_TCCATCGTCAGGACGA-1", "d15.data_AGGTCATCAGCAGGAT-1", "d15.data_TCCTCGATCGACCCAG-1", "d15.data_TAACTTCGTCCTGAAT-1", "d15.data_ACCATTTCATACTTTC-1", "d15.data_ATGTCCCAGATTTGCC-1", "d15.data_GTTGTAGCACACAGCC-1", "d15.data_CACATGACATCCAACA-1", "d15.data_CGAATTGTCCACACCT-1", "d15.data_TGGAGAGAGATGCAGC-1", "d15.data_ATCATTCTCGGCCAAC-1", "d15.data_TGTTCCGGTCTACGTA-1", "d15.data_TCACGCTTCACACCCT-1", "d15.data_TGATCAGAGGTCCGAA-1", "d15.data_AATGAAGCAATGTTGC-1", "d15.data_CTGCATCCAGATCCAT-1", "d15.data_GCATCTCGTTCATCTT-1", "d15.data_CATGCGGGTATGGGAC-1", "d15.data_TGACCCTAGCAGGCTA-1", "d15.data_TCAATTCGTATTGACC-1", "d15.data_TCTTTGAGTATAGGGC-1", "d15.data_GTAGAAAAGCCGATTT-1", "d15.data_TCAGCAACAGGATTCT-1", "d15.data_TCCATGCAGTTCCGGC-1", "d15.data_CCCTCAATCGAACTCA-1", "d15.data_ACAGCCGGTGTCCGTG-1", "d15.data_GGATGTTAGAAACTGT-1", "d15.data_TAAGTCGAGTGGTTCT-1", "d15.data_CTCAAGAAGCACACAG-1", "d15.data_GGGATCCAGGACTATA-1", "d15.data_CAGCAATCAGGCTACC-1", "d15.data_AACCTTTCACAGTGAG-1", "d15.data_TACCTCGTCTGAGCAT-1", "d15.data_GTGGGAACATACAGCT-1", "d15.data_TGTGAGTTCGAACGCC-1", "d15.data_TATCAGGCATTCTGTT-1", "d15.data_TCACACCTCAACTGGT-1", "d15.data_TATCCTACATCCGCGA-1", "d15.data_TGCACGGGTTTCGTAG-1", "d15.data_CACGTTCCAGACAATA-1", "d15.data_AAGCCATAGCTTTCTT-1", "d15.data_ACTCCCATCATGTCAG-1", "d15.data_GCACGTGCATCCTTGC-1", "d15.data_TGAGGTTCAGCTAACT-1", "d15.data_CCGATGGCACCGTGCA-1", "d15.data_GGCGTCAGTGGTAATA-1", "d15.data_CCGCAAGTCAGCCTTC-1", "d15.data_CCGGACATCAGACCTA-1", "d15.data_AGAGCCCCAGACTGCC-1", "d15.data_GGGAGATGTTCCCACT-1", "d15.data_ATTTACCGTAGACAGC-1", "d15.data_TGCAGATTCCATTGTT-1", "d15.data_TGTGAGTTCAGTCACA-1", "d15.data_ATCCTATTCCTTCACG-1", "d15.data_CTCATGCTCTATCGTT-1", "d15.data_TCTTGCGAGCAACAGC-1", "d15.data_GGAACCCTCCAAACCA-1", "d15.data_TCTGGCTCAGCGTACC-1", "d15.data_CAACAGTCAGTCTGGC-1", "d15.data_TCACTATTCAGTCTTT-1", "d2b.data_CAAGCTACAAACTAAG-1", "d2b.data_CGCATAATCTGGAAGG-1", "d2b.data_TATTGCTAGTAGCAAT-1", "d2b.data_TTCGATTTCGGAAACG-1", "d2b.data_TAAGCGTTCGTGCAGC-1", "d2b.data_TACTGCCAGATCCTAC-1", "d2b.data_CGTGTCTAGCACCGTC-1", "d2b.data_CCTTGTGAGAAGGTAG-1", "d2b.data_GGTTCTCAGCTTGTTG-1", "d2b.data_GTACAACAGTTCGGTT-1", "d2b.data_ATCCGTCGTGTGACCC-1", "d2b.data_TTGTTTGTCTTCTTCC-1", "d2b.data_GTGAGTTTCGCAATGT-1", "d2b.data_GGCAGTCAGGTCTGGA-1", "d2b.data_TACAGGTAGCCTCGTG-1", "d2b.data_GTCGTTCAGCACCGAA-1", "d2b.data_TGAGCGCGTCTGTGTA-1", "d2b.data_CACCAAAGTCGCTTGG-1", "d2b.data_GTCGTTCTCTACTCAT-1", "d2b.data_TGACTCCCATGGCCCA-1", "d2b.data_TGACGCGTCGGCTGGT-1", "d2b.data_GTTCATTAGATCGCCC-1", "d2b.data_GTCGTTCGTGTCCATA-1", "d2b.data_AAGTGAACAAGACTGG-1", "d2b.data_CGATCGGAGCCGTCGT-1", "d2b.data_TCTATCAAGTCGTCTA-1", "d2b.data_TCGAAGTCACTAGGTT-1", "d2b.data_ATTGGGTGTGTTACAC-1", "d2b.data_GGGTAGAGTCGTCATA-1", "d2b.data_CTCTCAGGTCTTTCAT-1", "d2b.data_TACTTGTTCGTTGTGA-1", "d2b.data_CCCGAAGCAACAGAGC-1", "d2b.data_GATGGAGCAGAGTCTT-1", "d2b.data_GGGTATTCACAGACGA-1", "d2b.data_CCTGTTGGTAAGTCAA-1", "d2b.data_TGAATGCCAGCAATTC-1", "d2b.data_GAATAGAGTGTTAAAG-1", "d2b.data_TGATCTTTCCCTGGTT-1", "d2b.data_AAGACTCGTGCTCGTG-1", "d2b.data_CTATCTAAGGAAAGGT-1", "d2b.data_AGGTCTATCCGTTGAA-1", "d2b.data_GTTCGCTGTAATGATG-1", "d2b.data_AAGCCATTCGAATCCA-1", "d2b.data_CTCATTAGTCTACATG-1", "d2b.data_TACCTGCAGTCTGCGC-1", "d2b.data_CTTCCTTGTGTCATGT-1", "d2b.data_GGGACTCGTGCAACGA-1", "d2b.data_CCGTAGGAGGCTAAAT-1", "d2b.data_TCGTGCTTCAGTGTCA-1", "d2b.data_TGTTCCGAGCGATCGA-1", "d2b.data_GACTCAAAGGATGTTA-1", "d2b.data_TCGTAGAGTTCTGACA-1", "d2b.data_TAACTTCTCGGAGATG-1", "d2b.data_CATTCCGGTAGCACGA-1", "d2b.data_TGCTCCACAAGCGGAT-1", "d2b.data_TGTTCATCAACGGTAG-1", "d2b.data_CTCAGTCAGCTCGAAG-1", "d2b.data_GAAGGACTCAAGAGGC-1", "d2b.data_TTCGCTGAGGGCAAGG-1", "d2b.data_TAGTGCAAGTGGTGAC-1", "d2b.data_ATGGATCGTGTGCCTG-1", "d2b.data_GTTACGATCGTAACTG-1", "d2b.data_ACTCTCGGTCCGGTGT-1", "d2b.data_GGGTCTGAGCGAACTG-1", "d2b.data_GGGAGATCAGAAGTGC-1", "d2b.data_TCCTAATAGCGTCGAA-1", "d2b.data_TCGTCCATCACTGAAC-1", "d2b.data_ATCCCTGGTCTAACTG-1", "d2b.data_TCGTAGAAGATTAGTG-1", "d2b.data_GTTAGTGTCTGAATGC-1", "d2b.data_TTCCTTCTCAGAGTGG-1", "d2b.data_TGCAGATCACAACGAG-1", "d2b.data_ACACTGATCGACATTG-1", "d2b.data_CTATAGGTCTGAGTCA-1", "d2b.data_GGTAATCGTCGCGTCA-1", "d2b.data_TGCGGCAGTTGCTAGT-1", "d2b.data_CACAGGCCACTGCATA-1", "d2b.data_ATCGGCGGTAACAGGC-1", "d2b.data_TCAAGTGAGTAGCCAG-1", "d2b.data_CGACAGCTCTCGCTCA-1", "d2b.data_AGCTTCCCAACAGAGC-1", "d2b.data_ATTCCATCATGGAAGC-1", "d2b.data_AGGATAAGTCTTCCGT-1", "d2b.data_GATTGGTCAAGTGGAC-1", "d2b.data_CGAGGCTGTAACATCC-1", "d2b.data_CAGCAATGTCAAGCCC-1", "d2b.data_AGACCATCAAGGGCAT-1", "d2b.data_TGCTTGCAGTCCTGCG-1", "d2b.data_CGTGCTTAGAGTAACT-1", "d2b.data_GTTCTATTCGTGGCGT-1", "d2b.data_TGAGCATGTTTGAACC-1", "d2b.data_TGAATCGAGACCAACG-1", "d2b.data_AATCGTGGTACGCTTA-1", "d2b.data_CACAGGCAGGTCACCC-1", "d2b.data_GTGTAACCACTCCACT-1", "d2b.data_TTTGGTTAGCGGGTAT-1", "d2b.data_AAGCGTTAGGCATCAG-1", "d2b.data_GCCAACGCAGAGAGGG-1", "d2b.data_TCACAAGTCTCTGCCA-1", "d2b.data_ACTTAGGGTGGATCGA-1", "d2b.data_CAGCACGAGGTTATAG-1", "d2b.data_CTGTGGGTCGCTGTCT-1", "d2b.data_GATTCGATCGGCTATA-1", "d2b.data_TAGCACACATGCAGCC-1", "d2b.data_AGTTCGAGTGTCCACG-1", "d2b.data_GTATTTCGTCAAAGTA-1", "d2b.data_TGCTCGTCAAGGTCTT-1", "d2b.data_AAGACTCGTTCGTACA-1", "d2b.data_ACCGTTCCAGACTGCC-1", "d2b.data_AAACGCTAGGAACTCG-1", "d2b.data_TCCCATGCACGTACAT-1", "d2b.data_ATTTCACAGGTCGCCT-1", "d2b.data_GTTGAACCAATCTCTT-1", "d2b.data_GAGGCCTCAGCTCGGT-1", "d2b.data_ATTCCATTCGTGGGTC-1", "d2b.data_TCCATCGAGTGCGACA-1", "d2b.data_AAGGAATTCCATCTGC-1", "d2b.data_GTCAAGTTCTCTATAC-1", "d2b.data_GTGGTTAAGCAAGCCA-1", "d2b.data_GGATGTTCACTGCGAC-1", "d2b.data_GTGGCGTAGGGTACAC-1", "d2b.data_GATCACAGTGGACCTC-1", "d2b.data_GAGTGTTTCCAATCCC-1", "d2b.data_GTATTTCTCCTTCTAA-1", "d2b.data_AGAACAAGTAGGAGTC-1", "d2b.data_CAGATTGGTTCCAGGC-1", "d2b.data_AGAGCCCTCGGATTAC-1", "d2b.data_TCAAGTGAGGTGCGAT-1", "d2b.data_GAAATGATCGAAGCCC-1", "d2b.data_GATTTCTTCAAATGAG-1", "d2b.data_CACGGGTTCGATACTG-1", "d2b.data_AAAGGTAGTAGGGTAC-1", "d2b.data_CTTCGGTCAACTCCCT-1", "d2b.data_ATAGAGATCAAACGAA-1", "d2b.data_GCATTAGCATGTCAGT-1", "d2b.data_GTGCGTGTCCTGGGAC-1", "d2b.data_GTGGAGAAGGAAGAAC-1", "d2b.data_CGCGTGAAGAGTGTTA-1", "d2b.data_CCGGTGAGTAACAGTA-1", "d2b.data_AAGTTCGAGGTTGCCC-1", "d2b.data_CTAGACAGTGGAACCA-1", "d2b.data_ATCACGAGTTCGTTCC-1", "d2b.data_CGGGTCAGTAGAGATT-1", "d2b.data_TTTGTTGAGGAAAGTG-1", "d2b.data_GTGTAACGTAAGTAGT-1", "d2b.data_AACAAAGTCTGTCCGT-1", "d2b.data_TTTGTTGAGGGAGTTC-1", "d2b.data_AAAGGATCACTAACGT-1", "d2b.data_TGTTCTAGTGCATTTG-1", "d2b.data_GTCTTTAAGATCGACG-1", "d2b.data_GCTACAAGTAGGTACG-1", "d2b.data_ATTTCTGAGGCGTTGA-1", "d2b.data_GTCCTCAGTCAGGCAA-1", "d2b.data_GTGCTGGGTCATCACA-1", "d2b.data_AATCACGAGCCTGACC-1", "d2b.data_CTACGGGCACACCAGC-1", "d2b.data_CCGAACGTCGAGCCTG-1", "d2b.data_CAATACGGTGTATCCA-1", "d2b.data_GAAGCGAAGAATCCCT-1", "d2b.data_TTCTTGAAGGCCATAG-1", "d2b.data_TCTATCAGTGGCAGAT-1", "d2b.data_TCATTGTAGGGACCAT-1", "d2b.data_ATTCCCGAGATGACCG-1", "d2b.data_GAAGAATGTCGATTTG-1", "d2b.data_ATCGGATAGTCGTCTA-1", "d2b.data_TGCGGCAAGCATGGGT-1", "d2b.data_TCTTTGACAGACATCT-1", "d2b.data_AGCGATTGTCACTTAG-1", "d2b.data_ACTGTCCGTCAACGCC-1", "d2b.data_CGTGAATCATCCGATA-1", "d2b.data_GCGATCGGTCTCACAA-1", "d2b.data_CGAATTGCATTCATCT-1", "d2b.data_TCAAGCAGTTTCGGCG-1", "d2b.data_GCCAGTGAGAGGCTGT-1", "d2b.data_GATGATCTCAGTCAGT-1", "d2b.data_TTTGATCCAATGAGCG-1", "d2b.data_CAACCTCGTCTACAAC-1", "d2b.data_TGACAGTTCCCATTCG-1", "d2b.data_GCCGTGAGTGACTCGC-1", "d2b.data_CGGGCATCACTCTCGT-1", "d2b.data_CAGGGCTGTAGTAAGT-1", "d2b.data_TCAATCTGTCGTAATC-1", "d2b.data_CGTTAGATCATGCCAA-1", "d2b.data_CTGCGAGGTACTCAAC-1", "d2b.data_GGAACCCGTCGGTACC-1", "d2b.data_CTTGAGAAGCCTCTTC-1", "d2b.data_AGTAGTCGTACTTGTG-1", "d2b.data_CTAGACAAGATGCTGG-1", "d2b.data_AACAGGGAGGTAGGCT-1", "d2b.data_TCAAGTGTCGCGTGCA-1", "d2b.data_TCTCTGGGTTATAGAG-1", "d2b.data_GGTTGTAAGCAGGTCA-1", "d2b.data_CCGTTCAGTTCAGCGC-1", "d2b.data_GGTTGTATCCTTCTGG-1", "d2b.data_TGACGCGGTTCAAAGA-1", "d2b.data_TACCGGGGTGATAGAT-1", "d2b.data_ACGTAGTGTAGATTGA-1", "d2b.data_GAAGGGTTCAGGGATG-1", "d2b.data_TCCTTTCAGGAGAATG-1", "d2b.data_TCCGATCGTGGCGTAA-1", "d2b.data_CGATGGCGTAGTACGG-1", "d2b.data_TTCCGGTCAAGAGCTG-1", "d2b.data_TAGACTGAGCTTCATG-1", "d2b.data_GGTTAACCAGTACTAC-1", "d2b.data_AAAGTGATCGCTATTT-1", "d2b.data_TCATGCCGTGCGAGTA-1", "d2b.data_GAATCGTGTCTTCATT-1", "d2b.data_ATGATCGTCCCATAGA-1", "d2b.data_CACAACACACCCGTAG-1", "d2b.data_GATCATGCACTGGACC-1", "d2b.data_TCTACCGAGCCGCTTG-1", "d2b.data_TTCGGTCGTCTGCGCA-1", "d2b.data_CCGGTAGAGGCTGTAG-1", "d2b.data_GCCAGGTCAACGGCTC-1", "d2b.data_AACACACCAATTGCGT-1", "d2b.data_TGGGCTGTCTGCGATA-1", "d2b.data_GGATCTAGTGTACGCC-1", "d2b.data_TCTATACGTGTTAGCT-1", "d2b.data_CTCATCGCATTGGATC-1", "d2b.data_GGAGATGTCAACTTTC-1", "d2b.data_TTTCACAAGGAAAGAC-1", "d2b.data_CACGAATTCGAAGAAT-1", "d2b.data_AGGTTGTGTTCGAAGG-1", "d2b.data_AGTAGCTGTAGGATAT-1", "d2b.data_GGAGAACTCGTTGCCT-1", "d2b.data_GGGCCATTCTTGTGCC-1", "d2b.data_TACTTGTTCGGAAGGT-1", "d2b.data_CGTGCTTTCAACCTCC-1", "d2b.data_CCGGGTAAGCCTCTGG-1", "d2b.data_ACACCAAGTCTTGAGT-1", "d2b.data_TGTGCGGGTGTCCAAT-1", "d2b.data_TGGAACTCAGACAAGC-1", "d2b.data_AGACTCATCTCTCGAC-1", "d2b.data_TTCCTCTGTAGATCGG-1", "d2b.data_GCGATCGGTTATGGTC-1", "d2b.data_AGACAAATCTCACGAA-1", "d2b.data_ATCATTCGTGTGTTTG-1", "d2b.data_CGTGTCTCAGACCATT-1", "d2b.data_AGACACTAGGCGATAC-1", "d2b.data_ATTCGTTGTTTGTGGT-1", "d2b.data_ATCGTAGGTGGAAATT-1", "d2b.data_CAGCGTGTCGGCTATA-1", "d2b.data_AAGTTCGCAAGAATGT-1", "d2b.data_TAGACCAAGAAGGCTC-1", "d2b.data_GTCACTCAGCAATTAG-1", "d2b.data_GAAACCTGTTGCTCGG-1", "d2b.data_CCTGTTGGTCCACTTC-1", "d2b.data_AGCGTATAGCACGGAT-1", "d2b.data_CAACGATAGAGCCGAT-1", "d2b.data_TTCTAGTAGTGAGGTC-1", "d2b.data_TGTAGACGTAGTCTGT-1", "d2b.data_CATCCACCAGCCGTTG-1", "d2b.data_TCCCATGAGGTTAGTA-1", "d2b.data_GAGGCCTTCGAACCAT-1", "d2b.data_GAATAGACACGGTGTC-1", "d2b.data_CACAGGCGTCGCCTAG-1", "d2b.data_ATGGGTTTCACCTACC-1", "d2b.data_ATCGCCTTCATGAGGG-1", "d2b.data_CATGCAAAGGTAGCAC-1", "d2b.data_CTTCTCTTCTTAATCC-1", "d2b.data_GATGTTGAGGGAGTGG-1", "d2b.data_TCATGTTCACGGGTAA-1", "d2b.data_TCATTCACAAGAATGT-1", "d2b.data_TATCCTATCTTTCAGT-1", "d2b.data_TTCTAACTCCAGCAAT-1", "d2b.data_CCTGCATTCCTTCTAA-1", "d2b.data_TTCCGGTTCACTTATC-1", "d2b.data_ATCCGTCGTAACATGA-1", "d2b.data_TGAGGGATCACTTATC-1", "d2b.data_GAAACCTGTCGTGTTA-1", "d2b.data_TGTGTGAAGGCATCTT-1", "d2b.data_AGGAGGTCACTTCATT-1", "d2b.data_ACCATTTTCTTCCTAA-1", "d2b.data_CTCCTTTTCAAGGTGG-1", "d2b.data_ATGAGGGCAAGAGGTC-1", "d2b.data_TCTCACGAGACAGCTG-1", "d2b.data_TTGTTTGGTGGGCTTC-1", "d2b.data_CGAGAAGAGCATCAGG-1", "d2b.data_CGTAAGTTCGTAGCCG-1", "d2b.data_AATGAAGCACATCATG-1", "d2b.data_CGAGGCTAGAAATTCG-1", "d2b.data_GAATCGTCAGGCGTTC-1", "d2b.data_CCCAACTAGGAGAGGC-1", "d2b.data_GATCGTACACCATATG-1", "d2b.data_GCAGGCTAGTAGGAAG-1", "d2b.data_GCAGGCTGTATGAAGT-1", "d2b.data_CATCAAGAGCACCGAA-1", "d2b.data_CATGGATCAGATTTCG-1", "d2b.data_ACGGGTCGTCACCTTC-1", "d2b.data_ACTGTCCTCCATTTGT-1", "d2b.data_GGTGTTATCCGCTTAC-1", "d2b.data_ATGCCTCGTGTTGATC-1", "d2b.data_ACCCTCATCTGCAGCG-1", "d2b.data_CTAAGTGCAACAAGTA-1", "d2b.data_GTGTTCCTCTACCACC-1", "d2b.data_GAGTGAGCATGACGGA-1", "d2b.data_CGTCAAAAGCGACATG-1", "d2b.data_ACACGCGGTTGTAAAG-1", "d2b.data_GGGACTCGTATGACAA-1", "d2b.data_TCATTTGGTTGCCTAA-1", "d2b.data_CGAGTTAGTGTCCCTT-1", "d2b.data_GAGTGTTTCTACAGGT-1", "d2b.data_TGTGATGTCTACCCAC-1", "d2b.data_GCCCGAAGTGTATCCA-1", "d2b.data_ACAACCAGTTGTTGCA-1", "d2b.data_TTCCGGTAGCGTTACT-1", "d2b.data_TCGTGCTTCTGTGTGA-1", "d2b.data_TGGAACTGTTACCCAA-1", "d2b.data_TCTATACGTTGCTTGA-1", "d2b.data_TCATGAGCACTGGAAG-1", "d2b.data_CTTACCGAGCGTGAAC-1", "d2b.data_ACAGGGATCCAAGCAT-1", "d2b.data_TCGGATAGTGACGTCC-1", "d2b.data_CGTGAATGTTGCCGCA-1", "d2b.data_GTCCACTCATCACAGT-1", "d2b.data_GTTTGGACAGTACTAC-1", "d2b.data_ACAAGCTTCGAGAATA-1", "d2b.data_GGTTAACGTTTCCCAC-1", "d2b.data_GTGTCCTCATCATCCC-1", "d2b.data_ATCGGATCAGCTTCCT-1", "d2b.data_TCACTCGGTGAAGCTG-1", "d2b.data_AGACCATTCGCATAGT-1", "d2b.data_CAACCAACATGTCAGT-1", "d2b.data_ACAAGCTGTCGTGCCA-1", "d2b.data_ACACGCGTCATGAGGG-1", "d2b.data_CCTAAGAGTGATTGGG-1", "d2b.data_GCGGATCGTGGATCAG-1", "d2b.data_CGCAGGTAGCTCACTA-1", "d2b.data_TTTCGATTCTCCGATC-1", "d2b.data_TCACACCGTTGGACCC-1", "d2b.data_CTCCGATTCGATAACC-1", "d2b.data_GTCAAGTAGAGGTATT-1", "d2b.data_TGATCAGTCCAAAGGG-1", "d2b.data_AGTGATCTCACCGACG-1", "d2b.data_GTCGTAAGTGTCGCTG-1", "d2b.data_TATGTTCTCACTCCGT-1", "d2b.data_ACATGCAGTCAGCTTA-1", "d2b.data_AGTGCCGTCTCGCAGG-1", "d2b.data_CAGTTAGCAGAACCGA-1", "d2b.data_AGGCATTTCGAGGCAA-1", "d2b.data_CCACTTGTCCTTCTTC-1", "d2b.data_TGAATCGTCTAAGAAG-1", "d2b.data_GCAGGCTAGGGATCTG-1", "d2b.data_GGCTTTCGTGATATAG-1", "d2b.data_GCAACATGTCTTGTCC-1", "d2b.data_ATGATCGCACTGGCCA-1", "d2b.data_TCGCACTCAAGGGTCA-1", "d2b.data_AACAAAGTCACTGATG-1", "d2b.data_CAGATACAGACATAAC-1", "d2b.data_CAGTTAGCAATAAGGT-1", "d2b.data_TGGTTAGGTGTACGCC-1", "d2b.data_TCGCAGGGTTTCACAG-1", "d2b.data_TACGTCCGTGCAACGA-1", "d2b.data_CAGCGTGGTAGGTGCA-1", "d2b.data_GACCAATCACAGTCCG-1", "d2b.data_GGGAGTATCTTACACT-1", "d2b.data_TGCACGGAGTCGCTAT-1", "d2b.data_GAGTCATCAAGCGCAA-1", "d2b.data_AGGGTCCAGGTTACAA-1", "d2b.data_CCACGTTGTACAGAGC-1", "d2b.data_AGTGACTCAGTCAGCC-1", "d2b.data_CGTGATAGTCTGTCCT-1", "d2b.data_ATCGCCTCACGAGAAC-1", "d2b.data_GCAACATGTAAGATCA-1", "d2b.data_GATAGAAAGGCTTCCG-1", "d2b.data_GCGTGCAAGGCCTAGA-1", "d2b.data_CGTTAGAAGTTCGCAT-1", "d2b.data_AGGTAGGTCCGTGTAA-1", "d2b.data_GCATCGGTCGCGTGAC-1", "d2b.data_CTTCGGTGTTTGGAAA-1", "d2b.data_ATATCCTAGCAGTAAT-1", "d2b.data_TGGAGAGGTCAGTCTA-1", "d2b.data_TAACGACGTTAACCTG-1", "d2b.data_TCTGGCTGTCTGCGCA-1", "d2b.data_GTAGGAGCAGATTAAG-1", "d2b.data_AGTGTTGTCCGTGGCA-1", "d2b.data_GTCATTTAGGGCAAGG-1", "d2b.data_CTAAGTGAGGTTCATC-1", "d2b.data_ACTTTCACACCCTCTA-1", "d2b.data_GACGCTGGTTGGGCCT-1", "d2b.data_ATTCAGGTCACGAACT-1", "d2b.data_GTGAGTTGTCTAGTGT-1", "d2b.data_TATCTGTTCTAGAGCT-1", "d2b.data_TGTTGGACATGTCTAG-1", "d2b.data_AAACCCAGTTTCGACA-1", "d2b.data_TCGCAGGCAGCGGTTC-1", "d2b.data_CCCTTAGGTTAGAGTA-1", "d2b.data_TCGTGGGGTTCAGCGC-1", "d2b.data_ATACTTCCAGTCTCTC-1", "d2b.data_TGACTCCTCCGCAGTG-1", "d2b.data_GTTGCGGAGCAGTAAT-1", "d2b.data_ATCATTCTCGCCAGAC-1", "d2b.data_TTGACCCGTTTGATCG-1", "d2b.data_CATACCCCAAATCAGA-1", "d2b.data_CTTCTAATCGAGTGAG-1", "d2b.data_CGCGTGAGTAAGCAAT-1", "d2b.data_TCCGGGATCGTTCAGA-1", "d2b.data_CATCGGGTCAAGCCTA-1", "d2b.data_GCTCAAAAGGCTTCCG-1", "d2b.data_GAGGGTAAGTAATTGG-1", "d2b.data_TGCGACGGTATAGGAT-1", "d2b.data_TCGGATAAGTTGGGAC-1", "d2b.data_GACTGATTCACCATCC-1", "d2b.data_CGTGCTTCAATAGAGT-1", "d2b.data_AACCACAAGGTACCTT-1", "d2b.data_ATTACCTTCACCGGTG-1", "d2b.data_CTGTGAAGTCTTCAAG-1", "d2b.data_GCGGATCCAGAGAAAG-1", "d2b.data_ATCGTCCAGACTTCCA-1", "d2b.data_GTAGTACAGCTAAGTA-1", "d2b.data_ATTACCTGTGAGATAT-1", "d2b.data_TCGACGGAGACGCATG-1", "d2b.data_CCAATTTGTTATCCAG-1", "d2b.data_AACCATGTCTGCCCTA-1", "d2b.data_GCATGATGTGTAGTGG-1", "d2b.data_TTACGCCCAACACAAA-1", "d2b.data_ATGCGATCACGGTGAA-1", "d2b.data_CTAGGTAAGTCACTAC-1", "d2b.data_GGTCACGAGTAGCCAG-1", "d2b.data_AAGACTCCATGATAGA-1", "d2b.data_TCCAGAAGTGAGGAAA-1", "d2b.data_TACGGGCGTTGTGTTG-1", "d2b.data_CTCCGATTCTCGTGAA-1", "d2b.data_TGATGGTTCCGTCCTA-1", "d2b.data_AATGGCTGTTGTATGC-1", "d2b.data_TAAGCACGTCCCTAAA-1", "d2b.data_CAGATTGTCTTCCGTG-1", "d2b.data_AGATCGTCATGGGATG-1", "d2b.data_ACGATGTGTCGTTCAA-1", "d2b.data_CGAATTGGTACAGTTC-1", "d2b.data_ATGGAGGGTCGCAACC-1", "d2b.data_TAGGTTGCATACTTTC-1", "d2b.data_TACTTCAAGTTGCGAG-1", "d2b.data_GTGGAGACAAAGTGTA-1", "d2b.data_GCAACATAGTGGCAGT-1", "d2b.data_GTAGTACCAAACTCGT-1", "d2b.data_AACAAAGGTTGTCATG-1", "d2b.data_GTGGAAGGTGCATACT-1", "d2b.data_GGCACGTAGCCTCGTG-1", "d2b.data_GTTAGTGTCGCCAATA-1", "d2b.data_ACTGTGATCGATACAC-1", "d2b.data_ATGGAGGCACACCTTC-1", "d2b.data_GGATCTACAGCGAGTA-1", "d2b.data_AGAGCAGAGATGGTAT-1", "d2b.data_TCGACCTTCGTAACCA-1", "d2b.data_GAACTGTAGCCTGTGC-1", "d2b.data_AGAGAGCAGGGCAATC-1", "d2b.data_TCACTATTCGTAGCCG-1", "d2b.data_AGGTAGGAGCCTCTCT-1", "d2b.data_AGATCGTTCCTCAGAA-1", "d2b.data_TTCGGTCCAAATGGTA-1", "d2b.data_TGTAAGCGTGCGGTAA-1", "d2b.data_CTCCTTTGTACAGGTG-1", "d2b.data_TCTCCGAGTCGCCTAG-1", "d2b.data_GTAGATCGTCTGCATA-1", "d2b.data_GCCCAGAAGAGACAAG-1", "d2b.data_TGACTCCGTTCATCGA-1", "d2b.data_TCCCAGTAGCTGGAGT-1", "d2b.data_TGAGCATAGGCACTAG-1", "d2b.data_TACTGCCTCGATAACC-1", "d2b.data_CAGATCAGTGGTTCTA-1", "d2b.data_TGTGTGAGTGCCTTTC-1", "d2b.data_ATAGAGAGTGAACTAA-1", "d2b.data_TTTAGTCGTACGACAG-1", "d2b.data_ATTTCTGGTAAGCAAT-1", "d2b.data_GACGCTGGTAAGCGGT-1", "d2b.data_TCTACCGAGACTGAGC-1", "d2b.data_CCACAAAGTCTACTGA-1", "d2b.data_CATTGCCAGCGGATCA-1", "d2b.data_CGGAGAAAGGCGCTTC-1", "d2b.data_GAAGGGTGTAGAGTTA-1", "d2b.data_TTATTGCTCGATACAC-1", "d2b.data_TTCCTAAAGACGCCAA-1", "d2b.data_GAGCTGCTCCAAGAGG-1", "d2b.data_AGGATAAAGCACCGAA-1", "d2b.data_GGTGAAGAGAGTGAAG-1", "d2b.data_AATGACCAGTATGTAG-1", "d2b.data_GCAGCCAGTGCGTTTA-1", "d2b.data_AGGACTTGTAGTGCGA-1", "d2b.data_CTTTCGGGTCTGTTAG-1", "d2b.data_GTAGAGGAGGGTTGCA-1", "d2b.data_TAGGAGGTCCCAGGAC-1", "d2b.data_ACGTAACAGTGCTCGC-1", "d2b.data_AACAGGGAGGCCTGCT-1", "d2b.data_TCATATCGTATGCGGA-1", "d2b.data_CTACATTCATCGAGCC-1", "d2b.data_GGTGTCGTCACAGAGG-1", "d2b.data_CAGCAGCAGCTAAGTA-1", "d2b.data_TACGTCCTCTCCTGCA-1", "d2b.data_GGGAGTACACACCGCA-1", "d2b.data_TGGGAGAAGAAATTCG-1", "d2b.data_CCGTAGGAGTGTAGAT-1", "d2b.data_ATCCCTGTCGAACCTA-1", "d2b.data_TTACCATCACAAAGCG-1", "d2b.data_TGATGCACACTTCATT-1", "d2b.data_TGGAGAGCACGTGTGC-1", "d2b.data_AGGTCTAGTCAACCAT-1", "d2b.data_CGAGGCTCATCGCTGG-1", "d2b.data_CTACCCATCGTCAAAC-1", "d2b.data_CAACCAATCGAAGCCC-1", "d2b.data_ATACTTCGTATGAAGT-1", "d2b.data_AACGAAACATGAAAGT-1", "d2b.data_GCCCGAAGTGCCTGAC-1", "d2b.data_AACGTCATCGACGATT-1", "d2b.data_TTCATGTCAATCTCTT-1", "d2b.data_CACCAAATCAGCTTCC-1", "d2b.data_GTCATCCAGTAGGCCA-1", "d2b.data_TGCAGTAAGGTTCACT-1", "d2b.data_TCACGCTCAGAGCCCT-1", "d2b.data_GGGTTATCATGACGAG-1", "d2b.data_AGATGAAGTTGTAAAG-1", "d2b.data_ACTTAGGTCCAAGCCG-1", "d2b.data_ACGATGTAGGGAGTTC-1", "d2b.data_ATATCCTCAAGCGAAC-1", "d2b.data_ACGTCCTAGAGCTGAC-1", "d2b.data_TTGGATGTCAATCCAG-1", "d2b.data_CTCATTATCATGAGGG-1", "d2b.data_TCGCAGGGTGATTGGG-1", "d2b.data_TGGTGATAGAAGCGCT-1", "d2b.data_GGTTCTCTCTTCGGAA-1", "d2b.data_TGCACGGAGGCACCAA-1", "d2b.data_GTTCGCTAGCTTGTTG-1", "d2b.data_GAGATGGGTCAACATC-1", "d2b.data_AGAAATGGTCAATGGG-1", "d2b.data_CATGCAATCTTTGATC-1", "d2b.data_AGACCATAGCATGATA-1", "d2b.data_GAATCGTGTGTGTTTG-1", "d2b.data_AGTGTTGTCAGCAATC-1", "d2b.data_AGTAACCTCATAGAGA-1", "d2b.data_TCCTCCCTCCACGGGT-1", "d2b.data_AGGCCACGTAGGAAAG-1", "d2b.data_GTAATCGAGAATTGTG-1", "d2b.data_AATGGCTCAATAACGA-1", "d2b.data_CAAGGGAGTGCAAGAC-1", "d2b.data_TAGAGTCAGAATGTTG-1", "d2b.data_GACCTTCAGTGCGTCC-1", "d2b.data_TCAGGTATCATGTCAG-1", "d2b.data_CGATGGCAGACGCCCT-1", "d2b.data_CCTGCATAGAAGCCTG-1", "d2b.data_GTCGTTCTCGTCCATC-1", "d2b.data_AGTAGCTGTTCCTTGC-1", "d2b.data_CATCCCATCACTGCTC-1", "d2b.data_CTCCTTTCAACTCCAA-1", "d2b.data_CGCGTGAAGTAGTCAA-1", "d2b.data_AGTACCACATGAGAAT-1", "d2b.data_AGTGCCGAGCAACAGC-1", "d2b.data_TCAAGTGAGAGTTGCG-1", "d2b.data_TCGACGGCACTAACGT-1", "d2b.data_GTTGTGACAGGAACCA-1", "d2b.data_GTAATGCGTGGCTAGA-1", "d2b.data_ATGAGGGAGGCCACTC-1", "d2b.data_GTCATGAAGTATCTGC-1", "d2b.data_CTCAAGAAGCGGTAGT-1", "d2b.data_GATTCTTTCTACGCAA-1", "d2b.data_CATTGAGCATGAAGCG-1", "d2b.data_CGGCAGTCATGACGAG-1", "d2b.data_CATCCGTCACGTAGTT-1", "d2b.data_TCGGTCTTCCCGTGAG-1", "d2b.data_TCAAGACTCAAGTCGT-1", "d2b.data_TCCTCGAGTATGTCCA-1", "d2b.data_TGCATCCAGGTACAAT-1", "d2b.data_CTGGACGCAGTGCGCT-1", "d2b.data_AGTACCAAGAGCTGAC-1", "d2b.data_CTCAGTCGTAAGATCA-1", "d2b.data_CTAGGTATCCGGACTG-1", "d2b.data_CTCAACCAGAAGCGGG-1", "d2b.data_GAACTGTTCGACCACG-1", "d2b.data_GGTCTGGCATTGAAAG-1", "d2b.data_AAACCCATCTACAGGT-1", "d2b.data_TTTATGCGTAGCGATG-1", "d2b.data_TTAGGCAGTAGGCTGA-1", "d2b.data_CGTAAGTCACTAGTAC-1", "d2b.data_TTAGGGTAGCGGCTCT-1", "d2b.data_GGGCTCAGTAGTCCTA-1", "d2b.data_GTTGAACCAGACCAGA-1", "d2b.data_CAACCAAGTCGTATTG-1", "d2b.data_GAGTTACGTAGCGTCC-1", "d2b.data_CGCATAACACGCTGTG-1", "d2b.data_AGCATCATCGGTAGAG-1", "d2b.data_GCCCAGAGTTGGTAGG-1", "d2b.data_ACCTGTCGTCATGCAT-1", "d2b.data_CCCAACTCACACAGAG-1", "d2b.data_CGCATGGCACATTACG-1", "d2b.data_TACCCACTCCAAGAGG-1", "d2b.data_TCATATCTCGAGCTGC-1", "d2b.data_ACTTCCGTCCAAAGGG-1", "d2b.data_CCTCAGTTCGGCGATC-1", "d2b.data_TCTCACGCAGACACAG-1", "d2b.data_CACGTGGCATGGATCT-1", "d2b.data_AGGGAGTAGCAACAAT-1", "d2b.data_TCCGTGTCAACATACC-1", "d2b.data_ATACCGAAGGACCCAA-1", "d2b.data_TTTGATCAGGCTTAGG-1", "d2b.data_TCACAAGTCAAAGGTA-1", "d2b.data_AACGTCACATACAGAA-1", "d2b.data_ATCGGATCAGGACATG-1", "d2b.data_TCCAGAAGTACGGGAT-1", "d2b.data_TACATTCCAAAGGAGA-1", "d2b.data_GTCACGGTCGTCCTTG-1", "d2b.data_GAGTTGTGTTTCACAG-1", "d2b.data_TGGAACTGTTGTTTGG-1", "d2b.data_TTCCGGTAGGGATGTC-1", "d2b.data_GCGTTTCGTATCGTAC-1", "d2b.data_TCCACGTGTACAGGTG-1", "d2b.data_CCGTGAGAGGACCCAA-1", "d2b.data_GTCCCATCACACCGAC-1", "d2b.data_AAAGTCCTCAGTGGGA-1", "d2b.data_TAAGCACTCACCCTGT-1", "d2b.data_AACGAAACAGAATTCC-1", "d2b.data_TTGGTTTCAACCGACC-1", "d2b.data_CCTCAGTTCAAGGACG-1", "d2b.data_GCGATCGCAACTCCAA-1", "d2b.data_ATTCCATCACGTACTA-1", "d2b.data_TGCATGAGTTTCGATG-1", "d2b.data_ACGGAAGTCCGCCTAT-1", "d2b.data_CTGCTCACACTGGAAG-1", "d2b.data_CATCGGGGTAGCACAG-1", "d2b.data_TCTACCGGTACGATGG-1", "d2b.data_CCACTTGCAGCCGGTT-1", "d2b.data_GCCAGCAGTCTTTATC-1", "d2b.data_TATCGCCCAATTCTTC-1", "d2b.data_ATTACCTTCCCGAGAC-1", "d2b.data_TACTTGTCAACGCCCA-1", "d2b.data_GTGGAAGTCTATGCCC-1", "d2b.data_TCGACCTAGTATTCCG-1", "d2b.data_GATCGTAAGTGCAAAT-1", "d2b.data_CTCAGAAGTGCCGTTG-1", "d2b.data_GCAGCCATCGGTCAGC-1", "d2b.data_GATTCTTGTAAGGTCG-1", "d2b.data_GTCATCCTCCCTCTCC-1", "d2b.data_TCGATTTTCCCGAATA-1", "d2b.data_TTCCGTGCACACAGAG-1", "d2b.data_CTGAGCGAGCGAGGAG-1", "d2b.data_ATCGTAGGTGGCCTCA-1", "d2b.data_TCATTACAGCTCTATG-1", "d2b.data_ACCAAACTCTCACCCA-1", "d2b.data_GTGACGCGTCTCTCAC-1", "d2b.data_AGCTACATCCGCACGA-1", "d2b.data_ACGGAAGGTGAGCAGT-1", "d2b.data_TGGAGAGTCGGTCTAA-1", "d2b.data_GTCTTTACAAATTAGG-1", "d2b.data_GTCGAATGTATGAAGT-1", "d2b.data_TTGCATTAGTGGATAT-1", "d2b.data_GAACTGTGTAGCTTAC-1", "d2b.data_TAGGGTTGTCCATACA-1", "d2b.data_TCCATCGGTTGCATTG-1", "d2b.data_GCACTAAAGAGAGGTA-1", "d2b.data_GTGGCGTAGAGTTGAT-1", "d2b.data_CAGATTGAGTACTGTC-1", "d2b.data_TGAGACTCATGCCGAC-1", "d2b.data_GAGTGTTTCCGGACGT-1", "d2b.data_GATCCCTCAGGATTCT-1", "d2b.data_GTCAAACGTGGCAGAT-1", "d2b.data_GCTGAATGTATGCTTG-1", "d2b.data_ACATTTCCAAATAGCA-1", "d2b.data_CAACGATTCCGCGATG-1", "d2b.data_CAATGACCAAATGCGG-1", "d2b.data_TCGGGACCAAACTCTG-1", "d2b.data_ATACCTTGTATGAAAC-1", "d2b.data_ACGTAGTGTATTTCGG-1", "d2b.data_TAAGCGTTCAGCGGAA-1", "d2b.data_GACTCAAAGTTGTAGA-1", "d2b.data_TGGGAGAAGCAATAAC-1", "d2b.data_GTTTACTGTTGTCCCT-1", "d2b.data_GGGCTCAGTAGAGTTA-1", "d2b.data_GAAGAATCACGTACTA-1", "d2b.data_CATGGATTCACTTCTA-1", "d2b.data_GGAGGTAGTCCACTTC-1", "d2b.data_CAAGAGGCATTACGGT-1", "d2b.data_AGTCATGCATGTTACG-1", "d2b.data_ATACCGAGTAGAATGT-1", "d2b.data_ACGGAAGAGGCCGCTT-1", "d2b.data_TATTGGGAGTACCCTA-1", "d2b.data_GGAACCCTCATTTGCT-1", "d2b.data_CTCATCGGTACTGGGA-1", "d2b.data_ACAGGGACATGGCTAT-1", "d2b.data_AAGCATCAGGCGAAGG-1", "d2b.data_TGAGACTGTCCGAAGA-1", "d2b.data_TCATATCTCGAGAATA-1", "d2b.data_AGAAGCGCAGGCTATT-1", "d2b.data_AAGCCATGTGCTGCAC-1", "d2b.data_GTGACGCTCAGCACCG-1", "d2b.data_GGGACAACATCGCTAA-1", "d2b.data_ACCATTTCAATCTGCA-1", "d2b.data_TGCGATACAGGACGAT-1", "d2b.data_GTGGAAGTCTTGGAAC-1", "d2b.data_CCACAAAGTTACACTG-1", "d2b.data_AACCTTTTCTCCTGAC-1", "d2b.data_TCTAACTTCTGCATAG-1", "d2b.data_CTCAGGGGTCTGTAGT-1", "d2b.data_CATACCCTCCCGTTGT-1", "d2b.data_GCTTTCGGTATCGATC-1", "d2b.data_ATTCATCTCTTGGGCG-1", "d2b.data_TTGATGGAGATGGTAT-1", "d2b.data_AACCAACCATCGAAGG-1", "d2b.data_CTCCCAAGTGATTCAC-1", "d2b.data_GGGTGAACATGGCACC-1", "d2b.data_CTCCCAACATCTTTCA-1", "d2b.data_AATCACGAGTGGTTGG-1", "d2b.data_AAAGGTAAGGGCAAGG-1", "d2b.data_AACCAACCAACGATCT-1", "d2b.data_ATAGACCTCTCACCCA-1", "d2b.data_GGTTCTCAGGAGACCT-1", "d2b.data_CAGGGCTAGTTACTCG-1", "d2b.data_GAGTTGTCAGCGTAGA-1", "d2b.data_CTGCATCGTCGATGCC-1", "d2b.data_ACATGCATCAGTGCGC-1", "d2b.data_GTGTGGCCATATTCGG-1", "d2b.data_GGAAGTGAGCTACTGT-1", "d2b.data_CCAATGACACCTAAAC-1", "d2b.data_ATTACTCCAGGCGAAT-1", "d2b.data_CTTAGGACAGTCGAGA-1", "d2b.data_AGTACTGAGCCAACCC-1", "d2b.data_CAGTGCGTCTTTGATC-1", "d2b.data_GAGCTGCAGATGCCGA-1", "d2b.data_ATCACGAGTCGAATTC-1", "d2b.data_AGATGCTAGGCGTCCT-1", "d2b.data_CGTAATGTCGAATCCA-1", "d2b.data_TCCACGTCATCGAGCC-1", "d2b.data_GTCACGGTCTCCCATG-1", "d2b.data_TCATGGATCAACACCA-1", "d2b.data_CTTACCGAGGTAAGTT-1", "d2b.data_TGTACAGCAGTTCACA-1", "d2b.data_CTCAATTCATGACGGA-1", "d2b.data_TGCTCGTTCAACTGAC-1", "d2b.data_AGTTCGAAGTATAGGT-1", "d2b.data_AATTCCTCAGAAGTGC-1", "d2b.data_AGGTCTAGTTCTCCTG-1", "d2b.data_GGAGATGGTTTCAGAC-1", "d2b.data_TGTACAGGTGACTCTA-1", "d2b.data_TGCGACGTCAGGAAAT-1", "d2b.data_TCATTCAGTGCGGTAA-1", "d2b.data_GCCATGGAGCTACTGT-1", "d2b.data_ATCGCCTGTGGCTTGC-1", "d2b.data_TACAACGTCGTTCTCG-1", "d2b.data_ATCGATGAGAAACTAC-1", "d2b.data_ATTATCCCATGTCTAG-1", "d2b.data_GCATCTCAGCCTTCTC-1", "d2b.data_TTTCCTCGTGGCCCAT-1", "d2b.data_GTGAGTTGTGCAACAG-1", "d2b.data_CCCATTGGTAGCTGCC-1", "d2b.data_CCTAACCGTTAGGAGC-1", "d2b.data_GATTCTTCAGTCGTTA-1", "d2b.data_TTTACGTCAGACCTGC-1", "d2b.data_AGAGCCCGTTGACTAC-1", "d2b.data_AAGCGTTAGTAGAATC-1", "d2b.data_GACTCAAGTGTCACAT-1", "d2b.data_GCGTTTCTCAATCTTC-1", "d2b.data_CAGTGCGAGAGTGGCT-1", "d2b.data_CGTGAATGTACAACGG-1", "d2b.data_AGTCTCCGTTTGGAAA-1", "d2b.data_GAATAGACACTAGTAC-1", "d2b.data_AGCTACAAGGCCTAGA-1", "d2b.data_AGGTCATGTCTTACTT-1", "d2b.data_AACGAAAGTCTTGCTC-1", "d2b.data_GCCAGGTCACTAGAGG-1", "d2b.data_CCTATCGTCATGCCGG-1", "d2b.data_CCCGAAGTCCGCTAGG-1", "d2b.data_GGGTTTACACTAAACC-1", "d2b.data_CGTCCATAGCATCTTG-1", "d2b.data_ACGTAACGTGCCCAGT-1", "d2b.data_ACATCCCAGAGTCACG-1", "d2b.data_AACCAACCAGCTTCGG-1", "d2b.data_CTCATCGTCTCCAAGA-1", "d2b.data_CCTCCAAGTGATCATC-1", "d2b.data_GTCGTAAGTCGCGGTT-1", "d2b.data_AATAGAGTCATTCGTT-1", "d2b.data_GTGAGCCTCACCGGGT-1", "d2b.data_TAATCTCTCATAAGGA-1", "d2b.data_AACGGGAGTTCACCGG-1", "d2b.data_GAAGGGTAGTGGATTA-1", "d2b.data_ATGACCACAAGAGCTG-1", "d2b.data_TGAGACTAGAGTTGAT-1", "d2b.data_AGACCATGTCGACTGC-1", "d2b.data_TAAGTCGGTGCATACT-1", "d2b.data_AGCTCAACAAAGGCTG-1", "d2b.data_CCTTGTGAGTGCACTT-1", "d2b.data_GTACAACTCGTGGGAA-1", "d2b.data_TTCACCGAGCCTGAGA-1", "d2b.data_AAGTTCGAGCTGAAGC-1", "d2b.data_TGAGACTCACTTGGCG-1", "d2b.data_ACGGTTAGTGCTCTTC-1", "d2b.data_TAGCACAGTTTGGAGG-1", "d2b.data_GCTTGGGCAGAATTCC-1", "d2b.data_ATGGATCTCAGAGTGG-1", "d2b.data_TTCCGTGCAATCTCTT-1", "d2b.data_TCGAACATCTTCTGTA-1", "d2b.data_GCACGTGTCTTCTCAA-1", "d2b.data_TTACGCCAGCTCGACC-1", "d2b.data_ACTTTCAGTAAGATCA-1", "d2b.data_CTCAGTCTCGCTCCTA-1", "d2b.data_TCTGTCGTCAAGTCGT-1", "d2b.data_GCCAGGTTCGAGCCAC-1", "d2b.data_GTGGCGTTCGAGATAA-1", "d2b.data_GCACGGTTCATCTATC-1", "d2b.data_AAGGTAATCGAAGCCC-1", "d2b.data_AAGTACCAGTTAGAAC-1", "d2b.data_GCCGATGAGTGACACG-1", "d2b.data_GGGTTATTCTGTCGTC-1", "d2b.data_ATGATCGTCTGGTTGA-1", "d2b.data_CAGCGTGTCGATTGGT-1", "d2b.data_GATCATGGTCTACTGA-1", "d2b.data_TCGCTTGAGTTGCTCA-1", "d2b.data_CAAGAGGTCTATTCGT-1", "d2b.data_AAACGAAAGCGCTGAA-1", "d2b.data_TCCGAAATCTAATTCC-1", "d2b.data_TGAGGAGTCCAGGACC-1", "d2b.data_AATCGACAGGTGCTAG-1", "d2b.data_TGTCAGACATGCCATA-1", "d2b.data_AAGACTCGTCTGCAAT-1", "d2b.data_ACGATCATCTGCTTTA-1", "d2b.data_ACTTATCGTATTGCCA-1", "d2b.data_CTAGACAAGTAAGACT-1", "d2b.data_TGTAACGTCTTCGTAT-1", "d2b.data_TTCTAACTCGCCAATA-1", "d2b.data_ATCCTATCAAACGAGC-1", "d2b.data_AGGGAGTTCCACGTGG-1", "d2b.data_GACTATGTCCAGTGCG-1", "d2b.data_AATCGTGTCCATGATG-1", "d2b.data_CCCTTAGAGGAAAGAC-1", "d2b.data_GCTACCTTCATGCTAG-1", "d2b.data_ATCCACCAGTCAACAA-1", "d2b.data_AGGATCTTCGGCTTGG-1", "d2b.data_ATCACAGTCTTCTCAA-1", "d2b.data_TGCGGCACACGACTAT-1", "d2b.data_TTAGGGTGTAGATTAG-1", "d2b.data_CGGGTCAGTATTTCCT-1", "d2b.data_GGGAGTATCCTTCTGG-1", "d2b.data_CCTTTGGAGGAGATAG-1", "d2b.data_CGAAGTTCATGATGCT-1", "d2b.data_GTAACACCAACCACAT-1", "d2b.data_ACTACGACATTGTAGC-1", "d2b.data_AGGCCACTCGTCTAAG-1", "d2b.data_TAATTCCTCCACGTGG-1", "d2b.data_TACAACGTCGGAAGGT-1", "d2b.data_ATTCGTTCATCTTAGG-1", "d2b.data_TTCCTTCCACGTAACT-1", "d2b.data_TTTAGTCGTTGCCGCA-1", "d2b.data_CAATGACAGCCGATCC-1", "d2b.data_TGTTCATAGCACTTTG-1", "d2b.data_CACAGATAGTGAGTGC-1", "d2b.data_GGATCTAGTTCAGCGC-1", "d2b.data_CAAGACTCAGGAGGTT-1", "d2b.data_GGGTTTAAGGCATCTT-1", "d2b.data_CAGCAGCTCATCAGTG-1", "d2b.data_TTCGCTGCAGCTAACT-1", "d2b.data_AAAGGGCTCGAACACT-1", "d2b.data_ATCATTCTCTAACGCA-1", "d2b.data_CCGTTCACAATGCTCA-1", "d2b.data_TCCACGTTCTGTGCAA-1", "d2b.data_AGGGTTTCAGGGAATC-1", "d2b.data_GGCTGTGCAATCAGCT-1", "d2b.data_ACGTCCTGTTAAACAG-1", "d2b.data_ATCAGGTTCCAAATGC-1", "d2b.data_CAGGGCTGTTGGGATG-1", "d2b.data_ATAGGCTGTGAGTTGG-1", "d2b.data_GATAGCTAGCATTGAA-1", "d2b.data_AGACAGGAGGTTAGTA-1", "d2b.data_ATTACTCAGGATTCCT-1", "d2b.data_CTCCGATCAGAAGTTA-1", "d2b.data_TAACACGTCCATGATG-1", "d2b.data_GAAGGGTGTAACTAAG-1", "d2b.data_GGGTGTCCAATCGCCG-1", "d2b.data_CTCATTAAGGACTGGT-1", "d2b.data_GACTCAAAGGAGTATT-1", "d2b.data_AGGTGTTCACATATCG-1", "d2b.data_ACTCCCACATCCGCGA-1", "d2b.data_CTAACCCAGTCAAGCG-1", "d2b.data_AGAGAGCTCTTGGAAC-1", "d2b.data_TCCGTGTGTATCGCGC-1", "d2b.data_CATCCCACATTCTTCA-1", "d2b.data_ACGTACATCCCGTGTT-1", "d2b.data_AAAGGATGTCTTCGAA-1", "d2b.data_CGTGTCTTCTTACGTT-1", "d2b.data_GGTTGTAAGCACTAGG-1", "d2b.data_AGGATCTAGGGCAGAG-1", "d2b.data_ACTTTGTAGAAACACT-1", "d2b.data_GACCCAGGTGTTACTG-1", "d2b.data_TTGATGGAGGTCACCC-1", "d2b.data_TTTGATCCACAAGCCC-1", "d2b.data_TGATCAGTCTCTATGT-1", "d2b.data_GTTAGACTCTTAGTTC-1", "d2b.data_AGATAGAAGTGTACAA-1", "d2b.data_TTCATTGCAGCTGGTC-1", "d2b.data_GGAGGATGTAGGTTTC-1", "d2b.data_GTTGAACGTTCTCTCG-1", "d2b.data_GAGATGGGTGAGCCAA-1", "d2b.data_ATGACCACAACAACAA-1", "d2b.data_TGACTCCTCACACCGG-1", "d2b.data_ATGGGTTAGAAACCCG-1", "d2b.data_GGGTCACGTCACCACG-1", "d2b.data_ACAAGCTGTTGTTTGG-1", "d2b.data_CTGTGGGCATCCGAGC-1", "d2b.data_TCCCACACAGGTGTTT-1", "d2b.data_GTATTTCTCTTGGAAC-1", "d2b.data_GTCTACCGTTCGGTTA-1", "d2b.data_AAGGTAACACGATAGG-1", "d2b.data_AAAGGGCGTGTCTTCC-1", "d2b.data_GTCACTCGTATAATGG-1", "d2b.data_AAGACTCCAGTTGAAA-1", "d2b.data_GTCACGGCAATACAGA-1", "d2b.data_AGGACTTTCTGTCGCT-1", "d2b.data_TTTCAGTTCGTACCTC-1", "d2b.data_ACGTCCTGTGCCCGTA-1", "d2b.data_TTCCAATAGATACTGA-1", "d2b.data_ATCCCTGTCTTCCGTG-1", "d2b.data_TTCTTGAGTCATACCA-1", "d2b.data_CTCTGGTAGTGCCGAA-1", "d2b.data_AGGTTACTCAGACATC-1", "d2b.data_TCTTTGAAGTCGGGAT-1", "d2b.data_TTGGGCGCATTAGGAA-1", "d2b.data_ACGTCCTGTCCCGCAA-1", "d2b.data_GCTACAATCACTGTCC-1", "d2b.data_CCACACTCATGAATCC-1", "d2b.data_CTTCCGATCAAGCCTA-1", "d2b.data_TTAATCCAGTTGGCGA-1", "d2b.data_GGGCCATTCCCACAGG-1", "d2b.data_GGGCGTTTCGAAGCAG-1", "d2b.data_GCATCTCCATACCATG-1", "d2b.data_TCAAGACTCAGTGTTG-1", "d2b.data_CGAGTGCAGTTCGGTT-1", "d2b.data_AGCTACATCCAGGACC-1", "d2b.data_CCCAACTCAGGCGATA-1", "d2b.data_TGCGGCAAGCCTCTGG-1", "d2b.data_AAGTCGTGTGTGATGG-1", "d2b.data_TGACCCTGTGAGTAGC-1", "d2b.data_ACAGGGACAACGCCCA-1", "d2b.data_ACCAACAAGGATACCG-1", "d2b.data_TCCACGTCATTGACTG-1", "d2b.data_CCTGTTGGTGGGTCAA-1", "d2b.data_TCGTAGAGTTATGGTC-1", "d2b.data_ATATCCTGTGGCTACC-1", "d2b.data_AGATCGTAGTCACTAC-1", "d2b.data_GTGACGCGTCTGGTTA-1", "d2b.data_CGTTAGAAGCACCGAA-1", "d2b.data_CAGCGTGAGACGGTTG-1", "d2b.data_TCGATTTCAGTTGTTG-1", "d2b.data_GTTGCGGCAAATGGAT-1", "d2b.data_TGGCGTGCAGACGATG-1", "d2b.data_CGAATTGTCCCTCTCC-1", "d2b.data_TTGGTTTTCCTATTGT-1", "d2b.data_GGCAGTCGTTCCCACT-1", "d2b.data_AGCTACACATGGCGCT-1", "d2b.data_CAGGTATAGGATACGC-1", "d2b.data_GGTAATCTCACCTCGT-1", "d2b.data_AGAAGTACAATTTCCT-1", "d2b.data_GGGTAGAAGCATTGAA-1", "d2b.data_ATGAAAGAGAAACTAC-1", "d2b.data_AACCAACCAATTGAGA-1", "d2b.data_AACAACCAGTCAGAGC-1", "d2b.data_AGAAGTATCGCAGTGC-1", "d2b.data_AGTTCGATCTCTAAGG-1", "d2b.data_CTCCGATTCGTTCAGA-1", "d2b.data_ATTATCCTCTAGTCAG-1", "d2b.data_ATCCCTGAGTGAGGTC-1", "d2b.data_AATGGCTTCAAGCTTG-1", "d2b.data_TATCTGTGTATTGACC-1", "d2b.data_TCGGTCTAGCGAACTG-1", "d2b.data_TAGACTGAGCCTATTG-1", "d2b.data_ATCACAGTCTCTGACC-1", "d2b.data_TGGATCAGTTGGATCT-1", "d2b.data_ATGGGAGCATGGTGGA-1", "d2b.data_TGACCCTGTGCCTAAT-1", "d2b.data_TCAGCCTCATATGAAG-1", "d2b.data_GGGCGTTCATCATTTC-1", "d2b.data_AGTTCGATCGGCAGTC-1", "d2b.data_GAATCGTGTTTCGGCG-1", "d2b.data_AGATCCATCTAGACCA-1", "d2b.data_TCATATCAGTCGCTAT-1", "d2b.data_GTAACACCACCGCTGA-1", "d2b.data_CATACTTCACTAGGTT-1", "d2b.data_TGATGCAAGGTCGTGA-1", "d2b.data_TACCCACGTAGGTAGC-1", "d2b.data_GTGAGTTGTAGTCGTT-1", "d2b.data_CCTCAACCAGATCACT-1", "d2b.data_GAGTCATGTCAAAGAT-1", "d2b.data_TTACGCCCAAGGTCGA-1", "d2b.data_CAGCAATTCGTGCACG-1", "d2b.data_GGTGGCTGTATTGGCT-1", "d2b.data_AGCTCAAAGACAGTCG-1", "d2b.data_GCCAACGTCATCGCTC-1", "d2b.data_TGCTGAAGTGACTAAA-1", "d2b.data_GGTCTGGTCAGTGATC-1", "d2b.data_AACCACAGTCGTCATA-1", "d2b.data_AGGACTTAGCCTAGGA-1", "d2b.data_TGTGTGAAGTGCGTCC-1", "d2b.data_TTCTCTCGTATCACCA-1", "d2b.data_CTGCTCATCACTTATC-1", "d2b.data_CCATCACAGCATCAAA-1", "d2b.data_CGTAAGTGTCATACCA-1", "d2b.data_ACGTAACCACTCCTGT-1", "d2b.data_TTGTTTGAGCACTCAT-1", "d2b.data_AGCGATTCAGACGGAT-1", "d2b.data_ACGATGTCAGGGCTTC-1", "d2b.data_CCTGTTGGTATTAAGG-1", "d2b.data_GAACACTTCTGGTCAA-1", "d2b.data_TGGGCGTTCCAATCTT-1", "d2b.data_TCACTATTCTCAAAGC-1", "d2b.data_TCGATTTGTTACGATC-1", "d2b.data_TGTTGAGAGACGTCGA-1", "d2b.data_TGGGCGTCAGGGATAC-1", "d2b.data_GTGTCCTGTGATTCTG-1", "d2b.data_TCTACCGCACTGGCCA-1", "d2b.data_CATGAGTTCGCAATGT-1", "d2b.data_GTCGAATGTCATAACC-1", "d2b.data_AGAAATGAGAGGTTAT-1", "d2b.data_CAGCACGGTGGATACG-1", "d2b.data_ATGGAGGTCGCTTTAT-1", "d2b.data_TTACGTTCAACTGCTA-1", "d2b.data_AAGCATCGTCGCACGT-1", "d2b.data_GGAACCCAGTCGAAGC-1", "d2b.data_CGGACACAGGATTCCT-1", "d2b.data_ATAGAGAGTATCTCTT-1", "d2b.data_ACCTACCGTCCCTCAT-1", "d2b.data_CTTACCGCAAGTGCAG-1", "d2b.data_GATTCGAGTCGTTCAA-1", "d2b.data_AGACAGGAGCTCGCAC-1", "d2b.data_GTTACAGTCGAAGGAC-1", "d2b.data_ATTCACTAGAGGTTAT-1", "d2b.data_GCGTGCACAATCTGCA-1", "d2b.data_CCGAACGCATCTATCT-1", "d2b.data_TACGGGCTCGGAATTC-1", "d2b.data_TCAATTCAGAGCCTGA-1", "d2b.data_AGGAATAGTCAGGTAG-1", "d2b.data_GCCCAGATCCGAAATC-1", "d2b.data_GTAGAAACATACAGCT-1", "d2b.data_GCCATGGAGTGCTAGG-1", "d2b.data_TCTCCGAAGCACTCAT-1", "d2b.data_GATCATGCAGTTTCAG-1", "d2b.data_GCCCGAATCGAGTACT-1", "d2b.data_TGAATGCCACACCAGC-1", "d2b.data_TTCATTGCACTTCTCG-1", "d2b.data_ACAACCAGTATCGAGG-1", "d2b.data_CGCCAGACAAAGACGC-1", "d2b.data_TGCTGAAAGACAACTA-1", "d2b.data_GTCTTTAAGGGCAGTT-1", "d2b.data_CGATGGCGTAGCCAGA-1", "d2b.data_ACTCCCAAGCATGCAG-1", "d2b.data_CCAAGCGAGCCTCGTG-1", "d2b.data_TACGCTCTCTTAGTTC-1", "d2b.data_TCATGTTTCTACGCAA-1", "d2b.data_AACCTTTTCTCATGGA-1", "d2b.data_ACGTAGTCACGGCGTT-1", "d2b.data_TTGAGTGCACACCTAA-1", "d2b.data_AGCTTCCGTTGGTAGG-1", "d2b.data_CATTCATTCGGTCACG-1", "d2b.data_TGTGATGGTAGCTGCC-1", "d2b.data_TCACGCTGTTATGGTC-1", "d2b.data_GGGTTTAAGATAGCAT-1", "d2b.data_GGAAGTGGTGACTCGC-1", "d2b.data_GTAGGTTGTCACCCTT-1", "d2b.data_AATCGTGCACACGGTC-1", "d2b.data_AGCGATTTCATTCCTA-1", "d2b.data_CAGTTCCGTTGTTGTG-1", "d2b.data_AATGCCACAACGGCTC-1", "d2b.data_GGGCTCACACGATTCA-1", "d2b.data_CATACAGAGAGTCAAT-1", "d2b.data_CTGGCAGAGGCCCGTT-1", "d2b.data_AACAGGGAGAATAGTC-1", "d2b.data_AACAAAGCAAAGAACT-1", "d2b.data_AGACCCGCACCCTTGT-1", "d2b.data_AGGTCTACAGCGACAA-1", "d2b.data_ACACGCGCAGACTGCC-1", "d2b.data_CACAACAGTAAGGAGA-1", "d2b.data_CATCCACCAATGTCTG-1", "d2b.data_TGGATGTGTCGCATTA-1", "d2b.data_GTCTGTCCACGAGAAC-1", "d2b.data_GGAGAACTCAACTGAC-1", "d2b.data_CCTCCAAGTCTAACGT-1", "d2b.data_CTCATGCGTGGATGAC-1", "d2b.data_CATGGTAAGGAGAGTA-1", "d2b.data_TTGTGGACACGGCGTT-1", "d2b.data_GCTGCAGTCAGACCGC-1", "d2b.data_GGGAGTACAACGACTT-1", "d2b.data_ATGCCTCAGGGCAGAG-1", "d2b.data_GTAGTACAGATGTTAG-1", "d2b.data_AGATGAAGTCACTCAA-1", "d2b.data_GGGAGATCAAGCGAGT-1", "d2b.data_ATTCAGGCATCACCAA-1", "d2b.data_CGGAGAATCCATACTT-1", "d2b.data_CATTGTTGTCTTGGTA-1", "d2b.data_ACGGGTCAGTGGGAAA-1", "d2b.data_TCCGGGAGTGAGTAAT-1", "d2b.data_CATGGATGTCGGCACT-1", "d2b.data_CTCAGAAGTGTCTAAC-1", "d2b.data_GTGACGCAGACCAAGC-1", "d2b.data_CCGAACGTCCGAAGGA-1", "d2b.data_TGCTTGCTCGCTAATG-1", "d2b.data_TGGAGAGCATGGATCT-1", "d2b.data_CACTAAGTCCAAGCAT-1", "d2b.data_GACCGTGTCCAAGCAT-1", "d2b.data_GATGACTGTAGCACGA-1", "d2b.data_GAGGCAATCTAGGCCG-1", "d2b.data_TCCCACATCAAAGGTA-1", "d2b.data_TCATTGTTCTTACACT-1", "d2b.data_AGCTACAAGTACAACA-1", "d2b.data_TCGAACACAGGTTCAT-1", "d2b.data_ACTATCTTCGCTAGCG-1", "d2b.data_TTTATGCCAACAGCCC-1", "d2b.data_AGGTTGTAGGCCCACT-1", "d2b.data_TTCACCGCAATAGGGC-1", "d2b.data_ACGTCCTAGTAACGTA-1", "d2b.data_CATCGCTCACGCTGCA-1", "d2b.data_CTCCACACAAATTGGA-1", "d2b.data_TTATTGCCACTCCGGA-1", "d2b.data_TTTGATCGTGGCTTGC-1", "d2b.data_ACCTACCCAATACGAA-1", "d2b.data_TGAGTCACAATCCTTT-1", "d2b.data_GTGTAACAGTATGGAT-1", "d2b.data_GATAGCTCAGCAGATG-1", "d2b.data_TGCTTGCTCTCGGTAA-1", "d2b.data_TGTTACTGTTAAGACA-1", "d2b.data_GATCACAAGTCATTGC-1", "d2b.data_TGTGTGACATTACGGT-1", "d2b.data_CTTTCGGGTGATACAA-1", "d2b.data_TTTATGCCAGCCATTA-1", "d2b.data_CTACCCAGTTTCCATT-1", "d2b.data_ACTACGATCCACAGCG-1", "d2b.data_AAGTCGTAGTTGCGCC-1", "d2b.data_CCGGACAGTATGAGAT-1", "d2b.data_CTACATTCACATGACT-1", "d2b.data_ATCGCCTTCGATTTCT-1", "d2b.data_GTCGTAAGTCTAATCG-1", "d2b.data_GCGTTTCAGCACGGAT-1", "d2b.data_GCACATACAGCTACCG-1", "d2b.data_CCTTGTGGTACCTAAC-1", "d2b.data_CAGCAATTCATTTGGG-1", "d2b.data_GCATCTCGTGGGCTCT-1", "d2b.data_CCTTGTGAGGAAAGGT-1", "d2b.data_CCTAAGAGTCCGTACG-1", "d2b.data_TCTAACTAGACTCGAG-1", "d2b.data_AGTAGCTGTTGAAGTA-1", "d2b.data_ATCGGCGCACGACGTC-1", "d2b.data_ACCTGAAGTGGTAACG-1", "d2b.data_CACTGGGCATCCGAAT-1", "d2b.data_AAAGGGCAGGAGGTTC-1", "d2b.data_TGTCCTGGTCAACCAT-1", "d2b.data_GGGCCATGTCATCAGT-1", "d2b.data_TTGTTCAGTCAGTCTA-1", "d2b.data_GGCTTTCGTAGATTAG-1", "d2b.data_CTGAGCGCAACAGCCC-1", "d2b.data_CAGGCCATCCCGAATA-1", "d2b.data_TTAGTCTGTCCAAATC-1", "d2b.data_CCTCTAGAGTCACGCC-1", "d2b.data_GAGTGAGGTGTCCGGT-1", "d2b.data_TCAAGCATCATGGCCG-1", "d2b.data_GCAGTTACACCTCTGT-1", "d2b.data_TGAACGTCAAAGCTCT-1", "d2b.data_ACCAACACAGTTAAAG-1", "d2b.data_TACAACGGTGTCTTAG-1", "d2b.data_GGGTGAACATCCTTCG-1", "d2b.data_GTAATCGCATGGAGAC-1", "d2b.data_CTCATTATCCAAGCTA-1", "d2b.data_AACCTGATCCGGACTG-1", "d2b.data_TTGTTCAAGATAACAC-1", "d2b.data_ATTATCCCACTCCGAG-1", "d2b.data_TCCGAAATCACCGGGT-1", "d2b.data_GATGAGGCATGACACT-1", "d2b.data_TCAGTGATCTATACTC-1", "d2b.data_GACTGATGTTAGGAGC-1", "d2b.data_TCCCACATCTCACGAA-1", "d2b.data_TCATGCCCATTAAAGG-1", "d2b.data_TTTACCAGTGAATAAC-1", "d2b.data_GATGAGGTCGTTCAGA-1", "d2b.data_CAGGTATCATTCTTCA-1", "d2b.data_CAATTTCGTCGAATGG-1", "d2b.data_GTGATGTAGGTAATCA-1", "d2b.data_CGTCCATTCCCGAGTG-1", "d2b.data_AGGGAGTCATGCAGGA-1", "d2b.data_AGGGTCCCAATAACCC-1", "d2b.data_TCAAGACGTATTGGCT-1", "d2b.data_GCAACATTCGTGCGAC-1", "d2b.data_CTTCAATGTTATGACC-1", "d2b.data_AAGTTCGGTTGTATGC-1", "d2b.data_GGAGATGAGTACCATC-1", "d2b.data_GAGGCAATCCGAGTGC-1", "d2b.data_TGCAGTACACCTATCC-1", "d2b.data_CCACCATAGAATCGCG-1", "d2b.data_TGTCCCATCCACGAAT-1", "d2b.data_TCACATTCAGGTCCCA-1", "d2b.data_CAACCTCGTAGATCGG-1", "d2b.data_CCTCCTCCACTGCTTC-1", "d2b.data_TCTCAGCCACAATGTC-1", "d2b.data_CTATCTACAAATAAGC-1", "d2b.data_CTCTCAGTCGCCGAAC-1", "d2b.data_CTCGAGGGTACCTATG-1", "d2b.data_TCATTTGGTGTCTCCT-1", "d2b.data_AGGTTGTTCACTGATG-1", "d2b.data_GAAGAATAGTGGCAGT-1", "d2b.data_AAGTACCCATCCAACA-1", "d2b.data_CATCGGGGTCCCGGTA-1", "d2b.data_ATTCGTTCATGAGAAT-1", "d2b.data_TTGCATTAGCGTCAGA-1", "d2b.data_GCCAGGTGTCGAAACG-1", "d2b.data_AGACAAAAGATACCAA-1", "d2b.data_TAACACGTCTTTCCAA-1", "d2b.data_CGTGATAAGATACCAA-1", "d2b.data_CTCACTGGTACGGTTT-1", "d2b.data_TATACCTGTCGTACAT-1", "d2b.data_TTGCTGCAGCTACGTT-1", "d2b.data_GCTTTCGCAATACCTG-1", "d2b.data_GTGGAAGGTCGACGCT-1", "d2b.data_TGTTGAGAGGAAGTAG-1", "d2b.data_TGCGGCACAACACGTT-1", "d2b.data_AAAGGGCCATACATCG-1", "d2b.data_TTATTGCGTTCAAACC-1", "d2b.data_GAGGGTACACATAACC-1", "d2b.data_CATGGATGTAGATTGA-1", "d2b.data_CACAGATGTCGCATCG-1", "d2b.data_GCCTGTTGTAGACAAT-1", "d2b.data_CTAACCCCAAGAGATT-1", "d2b.data_TTCATGTGTGTCATCA-1", "d2b.data_CTCCATGTCACCCATC-1", "d2b.data_TTTGATCGTCAACCAT-1", "d2b.data_GTTGAACCAATGGCAG-1", "d2b.data_ACAACCAGTTTCCCAC-1", "d2b.data_AGGGAGTCACGGGTAA-1", "d2b.data_GCTTCACAGCGACATG-1", "d2b.data_GGGCCATTCCGAGATT-1", "d2b.data_TTCCAATTCGCCAATA-1", "d2b.data_TCATACTTCATGCCAA-1", "d2b.data_TCTCACGCAAGGTACG-1", "d2b.data_TTCCTTCAGTAAGAGG-1", "d2b.data_TGATGCAAGGCCACTC-1", "d2b.data_CCGGACATCGCTAATG-1", "d2b.data_GGTCTGGCATCTAACG-1", "d2b.data_TTTGGAGGTGGTCCCA-1", "d2b.data_CCTACGTAGACAGCTG-1", "d2b.data_GAGACCCGTCGTTGGC-1", "d2b.data_GTAGGAGCAGTCGAGA-1", "d2b.data_AGTGATCAGCATTTCG-1", "d2b.data_CTTACCGCACTCATAG-1", "d2b.data_TAAGTCGCATATTCGG-1", "d2b.data_TGACGCGCATTACGGT-1", "d2b.data_AACCATGAGTGGATTA-1", "d2b.data_CCTAACCAGGCCTAGA-1", "d2b.data_ATCATTCAGGTAATCA-1", "d2b.data_GACACGCTCCATAGGT-1", "d2b.data_ATCCATTGTATCGGTT-1", "d2b.data_CTCATTAAGAAACCCG-1", "d2b.data_TCATTACGTAGTCCTA-1", "d2b.data_GAACGTTCACCCTAGG-1", "d2b.data_AGGTTACGTGCCCAGT-1", "d2b.data_ACCACAACACTTGACA-1", "d2b.data_GGGTGAATCAGCGTCG-1", "d2b.data_ACACGCGGTAACTTCG-1", "d2b.data_AGGCCACGTACGTGTT-1", "d2b.data_ACGGGTCGTACGCTTA-1", "d2b.data_CACCGTTAGCGACTTT-1", "d2b.data_TGATGGTGTACTCAAC-1", "d2b.data_ACGGGTCGTCCAGCGT-1", "d2b.data_ATCCCTGGTGGTCCGT-1", "d2b.data_CGCAGGTAGACCATGG-1", "d2b.data_ATGCCTCGTTTACCTT-1", "d2b.data_AGGCCACTCGGCTGTG-1", "d2b.data_TCAGCAAGTCGCAACC-1", "d2b.data_AGTACCAAGCCTCTTC-1", "d2b.data_AGGTCATCACGGATCC-1", "d2b.data_CATTGAGGTGGTCCGT-1", "d2b.data_CCTCAACTCAAGGCTT-1", "d2b.data_CAGCAATCAACTTGCA-1", "d2b.data_TCTTAGTGTCTCTCCA-1", "d2b.data_GCCATTCCATGTGGTT-1", "d2b.data_TCATCATGTCCAGCCA-1", "d2b.data_TTCGATTTCGAACGGA-1", "d2b.data_CTTCTCTTCGTCTACC-1", "d2b.data_TTTCGATAGTTGGCGA-1", "d2b.data_TGAGACTTCGAGCTGC-1", "d2b.data_GAGATGGGTGTATACC-1", "d2b.data_CTAACCCAGTGTTCCA-1", "d2b.data_ATCCCTGGTCACTCAA-1", "d2b.data_AATGCCAAGAATCGAT-1", "d2b.data_CGTAATGAGTATGTAG-1", "d2b.data_GTGCTGGGTATGTGTC-1", "d2b.data_AGGATAATCAAGGACG-1", "d2b.data_CCGTTCATCTTCACGC-1", "d2b.data_TGATCAGGTCATCGCG-1", "d2b.data_TCATTGTCAAATCAGA-1", "d2b.data_CTCCTTTAGAAATGGG-1", "d2b.data_TCTGTCGAGCATTTCG-1", "d2b.data_CGAGGAAGTAAGACCG-1", "d2b.data_TTGAGTGTCGAGCCTG-1", "d2b.data_TCAAGTGAGTTTGAGA-1", "d2b.data_TACTTCATCTGGAAGG-1", "d2b.data_CATCCACAGCTCACTA-1", "d2b.data_TGGATCAGTTACGATC-1", "d2b.data_AGACAAATCCGAGAAG-1", "d2b.data_TTAGGGTCAGACGATG-1", "d2b.data_TCAATCTGTCCCGCAA-1", "d2b.data_CAGAGCCTCACTGCTC-1", "d2b.data_ACGTCCTTCTTCTGGC-1", "d2b.data_CACGAATGTGGCGTAA-1", "d2b.data_GCTGGGTGTCTTCATT-1", "d2b.data_TACCCACCAAGTGTCT-1", "d2b.data_AGTCAACAGCCGAACA-1", "d2b.data_CGGTCAGGTGGTCCCA-1", "d2b.data_AGACAGGTCACCTCGT-1", "d2b.data_GTAGATCGTCTCACAA-1", "d2b.data_CCAATTTGTGAACCGA-1", "d2b.data_TGCACGGCAATACAGA-1", "d2b.data_TTGCATTCATATCGGT-1", "d2b.data_TTACGCCCATAACAGA-1", "d2b.data_CATCAAGCATTGCCTC-1", "d2b.data_TGCAGGCTCCATTTAC-1", "d2b.data_CAGCCAGAGTGCAAAT-1", "d2b.data_CTCCTTTCACGCTATA-1", "d2b.data_GTCTTTAGTTCGAACT-1", "d2b.data_CCTCAGTTCCATCGTC-1", "d2b.data_ATCGCCTTCATTTGTC-1", "d2b.data_TCCATCGGTCTGTTAG-1", "d2b.data_GTGTTAGGTACTCGAT-1", "d2b.data_GGTGTCGAGCCTCTCT-1", "d2b.data_TCTACCGTCCGCATAA-1", "d2b.data_ACCATTTAGCCATGCC-1", "d2b.data_ATAGAGACAATGTCAC-1", "d2b.data_AACCCAACATGACGTT-1", "d2b.data_GCTGAATGTAGCACAG-1", "d2b.data_GCTGAATCACCATATG-1", "d2b.data_TCTGCCAAGTGGTTAA-1", "d2b.data_AGTGACTGTTGCGTAT-1", "d2b.data_GTAACCACAATATCCG-1", "d2b.data_TATGTTCCATCAGCTA-1", "d2b.data_GCTACCTGTATGGTTC-1", "d2b.data_CAATGACAGTGAGTTA-1", "d2b.data_CACAACATCAGCGGAA-1", "d2b.data_TTTGTTGCAACAGCTT-1", "d2b.data_ATCACTTGTCTTGCGG-1", "d2b.data_CCACCATAGGACCCAA-1", "d2b.data_CACGTGGGTTAGAAAC-1", "d2b.data_CGTTGGGCACTCTCGT-1", "d2b.data_TACCTCGGTTCCGGTG-1", "d2b.data_AATGACCAGCAGTACG-1", "d2b.data_CCTCAACCACCAGACC-1", "d2b.data_CTATCCGCAGACACAG-1", "d2b.data_AATGGAACAGTGAGCA-1", "d2b.data_CCCTCAACACGACTAT-1", "d2b.data_TTACAGGGTTTGCCGG-1", "d2b.data_CGATGCGTCCCGAGAC-1", "d2b.data_TTAGGGTGTTCGGCTG-1", "d2b.data_GGTGATTAGCACCTGC-1", "d2b.data_CCCATTGGTAGTCACT-1", "d2b.data_GTATTGGGTATTGGCT-1", "d2b.data_AAGCATCAGGGATCAC-1", "d2b.data_GGTAACTTCCTACAAG-1", "d2b.data_AGGACTTAGTTGGACG-1", "d2b.data_CCACGAGAGTCGCGAA-1", "d2b.data_GTGTAACCAGCCGGTT-1", "d2b.data_TCCTCCCCACATATGC-1", "d2b.data_AACGAAATCCGTATGA-1", "d2b.data_CTCTCAGTCTGCTGAA-1", "d2b.data_GTAGCTATCACTGAAC-1", "d2b.data_TGATGCAGTTCCGCGA-1", "d2b.data_CACTGTCTCCCGAACG-1", "d2b.data_AGGTCATGTGGCTGAA-1", "d2b.data_CACTAAGAGCACCTGC-1", "d2b.data_GGGAAGTCACTGTGAT-1", "d2b.data_CGACAGCAGGATTACA-1", "d2b.data_AATGACCTCAGATTGC-1", "d2b.data_ACCTGTCCAGGCCCTA-1", "d2b.data_CAAAGAATCTCACTCG-1", "d2b.data_TTGTGTTTCAGTGTTG-1", "d2b.data_TCCTGCAAGATGCTAA-1", "d2b.data_CATTCATCAATTGAGA-1", "d2b.data_GATCCCTTCTGCCCTA-1", "d2b.data_CCGCAAGGTTCAAGGG-1", "d2b.data_CCTCCTCGTGTCATGT-1", "d2b.data_CATTGTTTCGCTCCTA-1", "d2b.data_AGCCACGGTTGGGAAC-1", "d2b.data_AGGGCTCTCGTCTCAC-1", "d2b.data_CTATAGGGTTCTGACA-1", "d2b.data_GTCGTAAAGTCGTTAC-1", "d2b.data_CGCATGGGTCCACATA-1", "d2b.data_TCGACCTAGCAACTCT-1", "d2b.data_GAACGTTAGTTTCGAC-1", "d2b.data_TTTAGTCAGGCTGAAC-1", "d2b.data_ATTACCTAGTCTGGTT-1", "d2b.data_AGGCCACTCGAAGCAG-1", "d2b.data_TTAGTCTGTACTCCGG-1", "d2b.data_TGGTGATAGCAGTCTT-1", "d2b.data_ATGTCCCAGCGAGTCA-1", "d2b.data_CCTCACATCTCATGGA-1", "d2b.data_ATTGTTCAGATTAGCA-1", "d2b.data_TCCCACACACTAAACC-1", "d2b.data_TTTACGTAGGTTACCT-1", "d2b.data_CGAAGGACACGGTCTG-1", "d2b.data_AGAACCTAGTCTTCGA-1", "d2b.data_CCTCATGTCTGTTCAT-1", "d2b.data_AAGAACACACTCCGAG-1", "d2b.data_AAGGTAAAGACCTGGA-1", "d2b.data_AGCTTCCAGAGGTGCT-1", "d2b.data_ACCCTCAAGGAACGTC-1", "d2b.data_GGAGAACTCATACGGT-1", "d2b.data_AACCTGAAGCCTCTCT-1", "d2b.data_CCATCACCACGTACTA-1", "d2b.data_ATGACCAGTTATGACC-1", "d2b.data_AGGGAGTGTTTCTATC-1", "d2b.data_CTGGACGCATCTAGAC-1", "d2b.data_AAAGTGATCTTCCCAG-1", "d2b.data_TACTGCCAGCACACCC-1", "d2b.data_TTGATGGGTAAGTTAG-1", "d2b.data_TGATGCACATGACTAC-1", "d2b.data_AGACACTGTTCTCCAC-1", "d2b.data_TACCCGTTCACACCGG-1", "d2b.data_TGGTACAGTATCTTCT-1", "d2b.data_TTTGGTTTCTACACAG-1", "d2b.data_TATTCCACATAATGCC-1", "d2b.data_ACGTAGTCAAGCGATG-1", "d2b.data_ACCATTTTCAAACCCA-1", "d2b.data_CAACAGTTCACACGAT-1", "d2b.data_GCACGGTGTATCGCGC-1", "d2b.data_CTGCATCGTCGACTGC-1", "d2b.data_CACAGGCAGAGTCACG-1", "d2b.data_GCAGTTATCCGTAGTA-1", "d2b.data_ACGTAGTTCTACTGCC-1", "d2b.data_CATCAAGCAATACGAA-1", "d2b.data_AGTGACTTCATGGTAC-1", "d2b.data_TAGACTGGTTCCACAA-1", "d2b.data_AGTTCCCGTTTAGACC-1", "d2b.data_AAGCGTTGTCCGGCAT-1", "d2b.data_CGAGGAAGTGTTCAGT-1", "d2b.data_TGGTACACAACCGCCA-1", "d2b.data_AATGCCACACATAGCT-1", "d2b.data_ATAGAGAAGGAGGTTC-1", "d2b.data_GTAAGTCCAGTATGAA-1", "d2b.data_GACCCTTCAAGTGGAC-1", "d2b.data_CTGGACGGTCGTCAGC-1", "d2b.data_TACCGGGTCGTTAGTG-1", "d2b.data_GACCAATGTTCCAGGC-1", "d2b.data_TCGGGACTCCAGGACC-1", "d2b.data_AAGACTCCAGCCTACG-1", "d2b.data_CATAGACAGCAACAAT-1", "d2b.data_CTCCGATGTCGCTGCA-1", "d2b.data_ATCCCTGGTCAGGAGT-1", "d2b.data_GTTGCGGAGACGCCAA-1", "d2b.data_GTAATGCCACACCAGC-1", "d2b.data_GTGACGCCACACACGC-1", "d2b.data_CTCATCGTCACCCTCA-1", "d2b.data_AACGTCAAGGTGATCG-1", "d2b.data_GCACGGTGTAGCCCTG-1", "d2b.data_AAGCCATGTTGTCCCT-1", "d2b.data_CCTCAACAGTTCCAGT-1", "d2b.data_ACTTTCACATAAGCAA-1", "d2b.data_AATCGTGCACTAAACC-1", "d2b.data_TCCCACACATCCTTCG-1", "d2b.data_GAGTGTTAGAAACACT-1", "d2b.data_ACATCGAGTCTCAAGT-1", "d2b.data_TCAATTCGTAGAAACT-1", "d2b.data_AACTTCTAGGTCACTT-1", "d2b.data_ATGAAAGCAGTCTTCC-1", "d2b.data_GATGACTGTGAATATG-1", "d2b.data_AACCTTTGTGTTCAGT-1", "d2b.data_TCAGCAACATGCTGCG-1", "d2b.data_TCATTCATCTTCCTAA-1", "d2b.data_GGCACGTAGCGAATGC-1", "d2b.data_CAGTTCCCACATGGTT-1", "d2b.data_TTCTCTCTCGTGACTA-1", "d2b.data_TTATTGCGTCGCAACC-1", "d2b.data_CTACTATTCTAGAACC-1", "d2b.data_GCCATTCAGGAACGAA-1", "d2b.data_CCGTTCATCCGCAGTG-1", "d2b.data_TCCGAAAGTTAATGAG-1", "d2b.data_GAAGTAAGTCTACAGT-1", "d2b.data_ATTCACTGTCGCATCG-1", "d2b.data_GTAAGTCCAAAGCTCT-1", "d2b.data_ATGGGAGGTGTGTGTT-1", "d2b.data_CATTGCCCACAGCTGC-1", "d2b.data_TGGTAGTTCATTCACT-1", "d2b.data_AATCGACGTAGAGTTA-1", "d2b.data_TCCGAAAAGTTCATCG-1", "d2b.data_TACATTCAGAGACAAG-1", "d2b.data_GACTCTCCAAGATGTA-1", "d2b.data_GATGGAGCACTGAGTT-1", "d2b.data_CACGGGTTCGCCAGAC-1", "d2b.data_AGCTCAAAGTCATGGG-1", "d2b.data_AGAAATGGTCCCGCAA-1", "d2b.data_GACCCAGGTGGCTGCT-1", "d2b.data_GAATCACCACTCGATA-1", "d2b.data_CCATAAGGTGATGGCA-1", "d2b.data_CGGGACTGTCTCAGGC-1", "d2b.data_GGAGGTAAGCTCCATA-1", "d2b.data_GGGAGTAGTGACAACG-1", "d2b.data_TAAGCACGTAGCACGA-1", "d2b.data_GGTAATCGTATCACGT-1", "d2b.data_CCTTGTGTCATCACCC-1", "d2b.data_GGGATGAGTGTGTCCG-1", "d2b.data_ACGGTCGGTTTGAACC-1", "d2b.data_AGAGAATGTCAAAGTA-1", "d2b.data_TGCGGCATCTCCTGCA-1", "d2b.data_TCCGAAACATATGCGT-1", "d2b.data_CACGTTCCACCGAATT-1", "d2b.data_GCACTAATCTTAGGAC-1", "d2b.data_TGTTGAGTCCACGAAT-1", "d2b.data_CCACAAATCAACTGGT-1", "d2b.data_TCGGGCACATCATCCC-1", "d2b.data_TTACCATTCATTCCTA-1", "d2b.data_CGAGTTATCCCTTTGG-1", "d2b.data_GACTCAACATGTTACG-1", "d2b.data_GCCAACGGTCTACGTA-1", "d2b.data_ACATTTCCAAGCCCAC-1", "d2b.data_ACTTCGCTCCTGCTAC-1", "d2b.data_ACTTCGCCAGATACCT-1", "d2b.data_TGGAACTGTATCCTCC-1", "d2b.data_TAGACTGAGCTGCGAA-1", "d2b.data_ATCCTATTCAGGACGA-1", "d2b.data_TTCCTCTGTCTTGCGG-1", "d2b.data_CTCTCGACATTCTCCG-1", "d2b.data_TCCTTCTGTGTGTCCG-1", "d2b.data_CTCCAACCACATCCCT-1", "d2b.data_GACTCTCCAACGGGTA-1", "d2b.data_ATCTCTAGTTCCTAAG-1", "d2b.data_CGGAATTTCAAGCCAT-1", "d2b.data_ATTCATCGTCCTGTTC-1", "d2b.data_CTTCTCTAGCCTTGAT-1", "d2b.data_TGTAACGTCTATTCGT-1", "d2b.data_CGTAATGTCTCATTTG-1", "d2b.data_CCAATGAAGGATTTGA-1", "d2b.data_ACCCTCAAGCTGAAGC-1", "d2b.data_AGTAGTCAGGCTAACG-1", "d2b.data_TAATCTCCATACCACA-1", "d2b.data_TCACGCTCAGAGAATT-1", "d2b.data_GTGGTTACAACAACAA-1", "d2b.data_GCCAGGTTCCACACCT-1", "d2b.data_CATACTTGTTAATCGC-1", "d2b.data_TCCCACACAGCAGATG-1", "d2b.data_TCCGATCCAGGCTATT-1", "d2b.data_CCACACTCACTACCCT-1", "d2b.data_TGGATGTTCGACGCTG-1", "d2b.data_AATCGACGTTGGTACT-1", "d2b.data_GGAACCCAGTTCCGTA-1", "d2b.data_AATGGCTTCAGGTGTT-1", "d2b.data_TCTCTGGTCGCTCATC-1", "d2b.data_AACGAAAAGAGGATCC-1", "d2b.data_CAGTTCCTCTCGGCTT-1", "d2b.data_GTAGAGGAGCCTCAGC-1", "d2b.data_TTACGCCCAAGAGAGA-1", "d2b.data_ATTCCATAGTCTAGCT-1", "d2b.data_AAACGAAAGTGAACAT-1", "d2b.data_CACCGTTGTACCCGAC-1", "d2b.data_GAATCGTAGCTAAACA-1", "d2b.data_GCCCAGAAGACTCAAA-1", "d2b.data_GTAGTACCAATCGAAA-1", "d2b.data_ATACTTCCAGTGAGCA-1", "d2b.data_TTACCATTCATTGAGC-1", "d2b.data_CCCTCTCGTACACTCA-1", "d2b.data_CATCAAGGTATGACAA-1", "d2b.data_TGCCGAGGTCGCACAC-1", "d2b.data_GTATTGGAGGACTATA-1", "d2b.data_AAGCATCCACAGCCTG-1", "d2b.data_CAGCCAGGTGTCTTCC-1", "d2b.data_CGAGGCTAGTAGGGTC-1", "d2b.data_GCACATATCGAATCCA-1", "d2b.data_AAAGTCCCAGCATTGT-1", "d2b.data_CATGCAACAAGAGGTC-1", "d2b.data_CTGTATTAGGATGAGA-1", "d2b.data_GACCAATTCGCAGAGA-1", "d2b.data_AGCCAGCCACTTCCTG-1", "d2b.data_GCTTCACAGCGCGTTC-1", "d2b.data_AGTTCCCCACGTCTCT-1", "d2b.data_CGAGGAAAGGCGACAT-1", "d2b.data_GTTATGGAGTGCAAAT-1", "d2b.data_GCTTCACCATAAGCAA-1", "d2b.data_GGGTGAAAGGAACGAA-1", "d2b.data_GGAATCTCAGCATCTA-1", "d2b.data_AGACTCATCCCTAGGG-1", "d2b.data_CCAAGCGAGGACGCTA-1", "d2b.data_ATCCCTGAGGTACATA-1", "d2b.data_TAGACTGGTGGAAATT-1", "d2b.data_CAGGTATGTACCATAC-1", "d2b.data_CCACTTGCAGAATCGG-1", "d2b.data_TTCCACGCAACAGATA-1", "d2b.data_GTGGTTACATAGAATG-1", "d2b.data_CTAACTTTCAAGCTGT-1", "d2b.data_TTACTGTCATAGACTC-1", "d2b.data_CCGATCTTCCTACGGG-1", "d2b.data_ACTGTCCTCACCGGGT-1", "d2b.data_TACCTGCCAGCCGGTT-1", "d2b.data_TGGGATTCACTGTGTA-1", "d2b.data_CACAGGCCACTCTCGT-1", "d2b.data_CCGATCTTCTTCGTAT-1", "d2b.data_TCATGTTAGCACTCAT-1", "d2b.data_TGCGGCACACTTGTCC-1", "d2b.data_CTGTGAAAGTCATCCA-1", "d2b.data_TGTGAGTCACTGCGAC-1", "d2b.data_CTAGACACACTCATAG-1", "d2b.data_CTAAGTGCATTCAGGT-1", "d2b.data_CTGTACCAGCGAACTG-1", "d2b.data_AGTACTGCACTCCGGA-1", "d2b.data_TCCATGCAGCAGGCTA-1", "d2b.data_TCCCACATCTGGACTA-1", "d2b.data_GATGGAGCAGCTGTGC-1", "d2b.data_ATCACTTCAACGTTAC-1", "d2b.data_TGGATGTAGCAATTCC-1", "d2b.data_GCAACATCAAGACGGT-1", "d2b.data_CACCAAACAACGACAG-1", "d2b.data_GTATTTCCACGGTGCT-1", "d2b.data_TCTCACGCAGTTGTCA-1", "d2b.data_TACTTACCAATAGTGA-1", "d2b.data_ACAAGCTGTTATTCCT-1", "d2b.data_CTCTCAGTCCACTAGA-1", "d2b.data_TCCACCAAGTAATACG-1", "d2b.data_GGAATCTCAATCGCCG-1", "d2b.data_CATCCCACATACAGCT-1", "d2b.data_GTAATGCCACTCTAGA-1", "d2b.data_CTTCCGAGTTTCCATT-1", "d2b.data_AAGCGTTGTACGGTTT-1", "d2b.data_GAGACCCGTCAGTCGC-1", "d2b.data_TTGTTCACAAATGAGT-1", "d2b.data_AATGCCATCGAGCCAC-1", "d2b.data_TTGCATTAGTAGAGTT-1", "d2b.data_ATGACCACATGGAATA-1", "d2b.data_ACACAGTTCTACCAGA-1", "d2b.data_TAGGGTTAGGAGAGTA-1", "d2b.data_AAGCGAGTCTTCCAGC-1", "d2b.data_CCCTCAAGTAAGATAC-1", "d2b.data_AATGAAGAGCAATTCC-1", "d2b.data_ATTATCCGTTTACTTC-1", "d2b.data_CTAACTTCACAATGTC-1", "d2b.data_ATGGAGGCAGGAAGTC-1", "d2b.data_ACATCCCAGACTCAAA-1", "d2b.data_ATGGTTGAGCTGCCAC-1", "d2b.data_CTAAGTGGTGTCCACG-1", "d2b.data_GAAACCTCACTGCACG-1", "d2b.data_CCAAGCGCAGACAATA-1", "d2b.data_CTTCTCTAGTAGAATC-1", "d2b.data_TCACACCGTAGGACCA-1", "d2b.data_GCATCTCCACTCATAG-1", "d2b.data_CTGTACCTCTGACCCT-1", "d2b.data_AGTACTGGTAGCTGAG-1", "d2b.data_GGGCCATCATAGAAAC-1", "d2b.data_CTTCCTTCAATCTCGA-1", "d2b.data_CTCCACATCGCTGTTC-1", "d2b.data_CCCTTAGAGAGCAGCT-1", "d2b.data_TACGGTAGTGTGATGG-1", "d2b.data_AGATCCAGTCGATGCC-1", "d2b.data_AGCGCCAAGCGTTCCG-1", "d2b.data_CACTGTCGTTGTTTGG-1", "d2b.data_CTACTATGTTCCTAAG-1", "d2b.data_TGGATCACATCTATCT-1", "d2b.data_TTACCATTCAACTACG-1", "d2b.data_TTAGGCAAGACCATTC-1", "d2b.data_AGCTCAAGTAACGCGA-1", "d2b.data_TAGAGTCTCGTGCTCT-1", "d2b.data_CTGGTCTCAAGTGGCA-1", "d2b.data_TCTCACGGTATCCTTT-1", "d2b.data_TGTTGGACAAGCTGTT-1", "d2b.data_ACTGTCCTCGTCTCAC-1", "d2b.data_CTACGGGCATTGTAGC-1", "d2b.data_GGCACGTCAAATTGCC-1", "d2b.data_GCTACCTCAGCCTTCT-1", "d2b.data_ACTATTCGTAGGTACG-1", "d2b.data_TTGAGTGAGCTAGAGC-1", "d2b.data_ACAGAAACAGACACCC-1", "d2b.data_TTCAGGAAGCAGAAAG-1", "d2b.data_GTTAGTGAGGACCCAA-1", "d2b.data_TGGATCACAGGGAATC-1", "d2b.data_GACCTTCGTTCGTTCC-1", "d2b.data_TAATCTCGTACAGTTC-1", "d2b.data_CCACTTGGTTTCCAAG-1", "d2b.data_AACACACCAGGTTCGC-1", "d2b.data_ATCGTCCAGATTTGCC-1", "d2b.data_CTCCTTTAGTTTCGAC-1", "d2b.data_TCATGGAAGTAGCAAT-1", "d2b.data_TGTCCACAGAATCCCT-1", "d2b.data_TTTATGCTCATAAGGA-1", "d2b.data_ATCACTTCACGAGGAT-1", "d2b.data_GACAGCCTCGACCCAG-1", "d2b.data_GGTTGTATCATCCTAT-1", "d2b.data_CGTGCTTGTTCTAAGC-1", "d2b.data_TACCCGTTCTGGCCAG-1", "d2b.data_GGGCTCAAGACGATAT-1", "d2b.data_ATCCACCCATACGCAT-1", "d2b.data_AAAGTCCAGTATTGCC-1", "d2b.data_CCTCCTCGTCAGATTC-1", "d2b.data_GATTCGATCGTAGGAG-1", "d2b.data_CATCCCAAGGCAGGTT-1", "d2b.data_ACGTACACAATGTGGG-1", "d2b.data_TCATGGACAACCAACT-1", "d2b.data_TCCTCTTGTCAAACGG-1", "d2b.data_GAGATGGGTACACTCA-1", "d2b.data_ACTGTCCGTACGGGAT-1", "d2b.data_TAACGACCAGACCTGC-1", "d2b.data_TTTGTTGCATCCTATT-1", "d2b.data_TCTTAGTTCGAACTCA-1", "d2b.data_GCCCGAATCTCGCCTA-1", "d2b.data_CTGGACGTCTCAACGA-1", "d2b.data_GCAGTTACATCCTTGC-1", "d2b.data_CGTGCTTAGCCGATCC-1", "d2b.data_AACCATGCATGGTACT-1", "d2b.data_GCTACCTGTGGCGTAA-1", "d2b.data_CTATCCGCACAGTCGC-1", "d2b.data_CTGGTCTCATCCGATA-1", "d2b.data_TTGGGCGGTCGTGCCA-1", "d2b.data_CATCGGGCACAAGGTG-1", "d2b.data_TCCTCTTAGACTTCGT-1", "d2b.data_GGGAGATTCCAACTAG-1", "d2b.data_GAATCGTGTGAATAAC-1", "d2b.data_CCGGTGAAGGGATGTC-1", "d2b.data_AACGTCACAAATGCTC-1", "d2b.data_GGCTTTCCATGACAAA-1", "d2b.data_CCTCTAGTCACCTCTG-1", "d2b.data_GCGTTTCTCACACGAT-1", "d2b.data_CAACGATAGTCGGCAA-1", "d2b.data_CCGGTAGCAATGGCCC-1", "d2b.data_GAGACCCGTTCCGGTG-1", "d2b.data_TGTGTGACAGGCATGA-1", "d2b.data_TAATTCCCAGCCCACA-1", "d2b.data_GCTACCTTCAGAATAG-1", "d2b.data_CATTCCGGTCGCAGTC-1", "d2b.data_CCTGCATCAATCTCTT-1", "d2b.data_GAGACCCCACGGCACT-1", "d2b.data_TTCATTGCATGCAGCC-1", "d2b.data_AGATAGAGTATACCTG-1", 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"bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "gene = NKX1-2" }, "width": 1000, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "UMAP1" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "UMAP2" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gene_name = \"NKX1-2\"\n", "scegot.plot_gene_expression_2d(\n", " gene_name,\n", " mode=\"umap\",\n", " # save=True,\n", " # save_path=\"./pathway_single_gene_2d_umap.png\"\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 3D" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "%{hovertext}

PC1=%{x}
PC2=%{y}
PC3=%{z}
color=%{marker.color}", "hovertext": [ "iM.data_GTGGAAGGTCAATGGG-1", "iM.data_TTCATGTCAACCCGCA-1", "iM.data_GAGGGTATCCAGGACC-1", "iM.data_AAGTCGTAGGCTTTCA-1", "iM.data_ACCGTTCGTAACTTCG-1", "iM.data_GTGTTAGCAAGTTTGC-1", "iM.data_TCACGGGGTGGCGCTT-1", "iM.data_GTTACGAAGGTCTACT-1", "iM.data_TGATCAGAGTCGTTAC-1", "iM.data_GTGCAGCGTCTTCAAG-1", "iM.data_AGTAGTCCACCCTGTT-1", "iM.data_CCATAAGGTAGCTGTT-1", "iM.data_TAAGCACCAGTCGTTA-1", "iM.data_GGTCACGAGGTCCCTG-1", "iM.data_CTGCGAGGTCGTGTTA-1", "iM.data_TCAGGTAGTCGCACAC-1", "iM.data_TCTGTCGTCGTTCAGA-1", "iM.data_AGTTCCCCATTATGCG-1", "iM.data_TCATTGTCATTACGGT-1", "iM.data_TGTAGACTCGGTAACT-1", "iM.data_CTGTATTAGGATCATA-1", "iM.data_TTGTTGTGTATCGATC-1", "iM.data_CTGCCTAGTACGATGG-1", "iM.data_CGCAGGTCATAAGCGG-1", "iM.data_TCGTGGGGTTTGCAGT-1", "iM.data_CTGAGCGTCCCTGGTT-1", "iM.data_CGTGTCTAGCATAGGC-1", "iM.data_GGGTTTATCCTGTACC-1", "iM.data_TTCTAGTGTAAGATCA-1", "iM.data_GTCGCGAAGCGTGCTC-1", "iM.data_TCCCAGTGTAGATGTA-1", "iM.data_TTCGGTCGTGTGGACA-1", "iM.data_TAGCACAGTTGTGTAC-1", "iM.data_CCTCATGAGCGCCGTT-1", "iM.data_CATCGGGAGGCTGAAC-1", "iM.data_ACCTGAATCGTAACAC-1", "iM.data_TCGTAGAAGAGGTATT-1", "iM.data_TCGTCCAGTAGTTCCA-1", "iM.data_GGCTGTGTCTAGCAAC-1", "iM.data_TGACGCGTCAGTGGGA-1", "iM.data_TTTCAGTTCGTCAGAT-1", "iM.data_TATTGGGTCGCTTGAA-1", "iM.data_GTATTGGAGAGTACCG-1", "iM.data_TCAATTCCAGCAGATG-1", "iM.data_GGGCTACTCCGTAGGC-1", "iM.data_CGTGTCTTCAAGCCGC-1", "iM.data_ACGGAAGCAGTGGCTC-1", "iM.data_TGAGGTTAGTGCCGAA-1", "iM.data_ACGTAGTTCTGTGCGG-1", "iM.data_TTCATGTAGTGCGACA-1", "iM.data_AGTGATCAGAATCGCG-1", "iM.data_TCGTGCTCAACGGTAG-1", "iM.data_GTGCAGCAGTAAACTG-1", "iM.data_TTGTTTGAGGGTCACA-1", "iM.data_CAAGAGGTCTCAGGCG-1", "iM.data_AGCGTCGCACCGCTGA-1", "iM.data_CGACAGCAGACGCTCC-1", "iM.data_CAACGGCTCAGGAAGC-1", "iM.data_CGTTAGATCATAGCAC-1", "iM.data_TCAGCCTCAAGGCTTT-1", "iM.data_TCATGGACACCTGCGA-1", "iM.data_GTTCATTAGGAAGTGA-1", "iM.data_GTGTTAGTCACCTCGT-1", "iM.data_ACACGCGTCATGAGAA-1", "iM.data_ATTCCATAGAGTCCGA-1", "iM.data_TACACCCCAGTATTCG-1", "iM.data_CGATGGCTCATGAAAG-1", "iM.data_GTCGTAATCCTGATAG-1", "iM.data_TCTACATAGATACTGA-1", "iM.data_GTGCAGCAGGAAAGTG-1", "iM.data_CGAGTTAAGTGCCCGT-1", "iM.data_GGTGTCGTCGGAGTGA-1", "iM.data_CGCGTGATCCGGTAAT-1", "iM.data_GGGACAAAGAGTCAAT-1", "iM.data_GTGGAGATCAATCCAG-1", "iM.data_AGCGTATTCCTACCGT-1", "iM.data_AGTAGTCGTGTTGAGG-1", "iM.data_AGGAGGTTCGGCTGTG-1", "iM.data_CGGGACTCAAAGGCTG-1", "iM.data_ATGGAGGTCCGTGACG-1", "iM.data_GGTCTGGGTAATGATG-1", "iM.data_TAACTTCAGGTCGTGA-1", "iM.data_CACACAAGTAAGGAGA-1", "iM.data_GTCGCGAGTCGTGTTA-1", "iM.data_GGATGTTAGTAAGAGG-1", "iM.data_CTACATTTCTGCCCTA-1", "iM.data_ATCATTCTCTAGGAAA-1", "iM.data_CCGATCTAGAAGTCAT-1", "iM.data_CGTGAATGTACCATAC-1", "iM.data_CTTCTAAGTTCTTGTT-1", "iM.data_AGGGTTTGTGACACGA-1", "iM.data_TGTTGAGCAGACACAG-1", "iM.data_CGCCAGAGTTGAAGTA-1", "iM.data_TCGGGTGTCCAGCTCT-1", "iM.data_CGTGTCTCAGGTGGAT-1", "iM.data_ACTTATCGTCGAGCTC-1", "iM.data_GTTCCGTCAATCGTCA-1", "iM.data_TCCCACAGTGGATCGA-1", "iM.data_ATGGGTTAGCTGAAGC-1", "iM.data_AGATGAAAGCTAATCC-1", "iM.data_AAAGAACTCCTATTGT-1", "iM.data_TTCCACGGTGCGTCGT-1", "iM.data_TCATTCAAGAGGCGTT-1", "iM.data_AGGACTTCAAGAGTGC-1", "iM.data_CAGATTGTCTTCGACC-1", "iM.data_TGTTGAGGTCAAAGTA-1", "iM.data_ACTGCAATCGGTCGAC-1", "iM.data_AAAGTCCAGACGTCGA-1", "iM.data_CTTCTAAAGATTGTGA-1", "iM.data_TAGGAGGAGGTGCTTT-1", "iM.data_CTACAGAGTCGGTGTC-1", "iM.data_TCCACGTAGGGTTAAT-1", "iM.data_AAGTACCAGTAACCGG-1", "iM.data_GCGTTTCAGTACTCGT-1", "iM.data_ACAAGCTGTGTGCCTG-1", "iM.data_TGCACGGAGCGTGTCC-1", "iM.data_CTGTCGTGTTGTTTGG-1", "iM.data_GTCAAGTAGAGAGAAC-1", "iM.data_CTACAGAGTGGTTTGT-1", "iM.data_GCGTTTCGTACTGTTG-1", "iM.data_ATTACTCCAGTGGTGA-1", "iM.data_GTATTGGAGTCACAGG-1", "iM.data_TTCATGTTCTGATGGT-1", "iM.data_CCGGACACAGCTTCGG-1", "iM.data_CAAGAGGCAAAGAGTT-1", "iM.data_CTGCGAGCATGGGATG-1", "iM.data_CAGCGTGAGTGTAGAT-1", "iM.data_CGGGTGTAGTTCCGGC-1", "iM.data_GTCGTAAGTACTCGTA-1", "iM.data_GTTCATTCACGCGTGT-1", "iM.data_TTGGGATCAAATGAGT-1", "iM.data_CCGTTCATCGCTAGCG-1", "iM.data_TGTAAGCGTCGTTGCG-1", "iM.data_TACGGGCTCTGAGAAA-1", "iM.data_CATCGGGTCACGTCCT-1", "iM.data_CAGCAATAGCTCCATA-1", "iM.data_TGAATCGGTAATGTGA-1", "iM.data_AAGACAAAGCGACTTT-1", "iM.data_TAAGCGTGTGGTCTAT-1", "iM.data_TTCATTGTCTATACGG-1", "iM.data_ATCATTCAGGAGATAG-1", "iM.data_TTACTGTTCCGATAGT-1", "iM.data_GTGGCGTGTTCTTGCC-1", "iM.data_CAGCGTGTCTCTCAAT-1", "iM.data_AGGGTTTAGTCAAGCG-1", "iM.data_TATTGCTGTCGCATGC-1", "iM.data_CTCTCAGAGTTGGACG-1", "iM.data_CTTGATTCAAATGGAT-1", "iM.data_GTTGTGATCCGAGATT-1", "iM.data_GCGATCGGTCGTGCCA-1", "iM.data_GGAGAACAGGTGATAT-1", "iM.data_GTAATGCGTGATACAA-1", "iM.data_CGGGCATTCATTTGTC-1", "iM.data_GCCGTGATCTACGGGC-1", "iM.data_GAATAGAGTGTCCATA-1", "iM.data_AATCACGTCTCGCAGG-1", "iM.data_CTTCAATTCAGGACAG-1", "iM.data_CTCCGATGTGGGCTCT-1", "iM.data_AGCGTCGAGATGTTAG-1", "iM.data_TTGCGTCGTACCACGC-1", "iM.data_ATCATTCGTGTGATGG-1", "iM.data_TGCGATAGTTGTGTTG-1", "iM.data_GAAGCCCCAAGGTACG-1", "iM.data_CGGAACCAGATGGTAT-1", "iM.data_TAACCAGCAAGGCGTA-1", "iM.data_AATCACGGTAATTAGG-1", "iM.data_AATAGAGTCCTTCAGC-1", "iM.data_ACCTGTCGTGCCTATA-1", "iM.data_TATTGGGGTGGGATTG-1", "iM.data_TTGCGTCTCTGCTTAT-1", "iM.data_GTCGTAATCGAGGCAA-1", "iM.data_TGTAACGAGTGGTTGG-1", "iM.data_TGTGCGGTCAGAGCAG-1", "iM.data_CTGGACGTCAGCTTGA-1", "iM.data_TCCGTGTCACGAAAGC-1", "iM.data_AAGATAGAGTCTGCAT-1", "iM.data_TGGAGGAGTTTGTGGT-1", "iM.data_GGAGATGGTCTTCATT-1", "iM.data_TTCGGTCCAGAATCGG-1", "iM.data_CGGAATTCAGCGTTTA-1", "iM.data_GTCGTTCGTGGTCAAG-1", "iM.data_TAGATCGTCTCACGAA-1", "iM.data_GTGTTCCAGCTACAAA-1", "iM.data_TTGGGCGTCTGTTGGA-1", "iM.data_GTGTGATAGCGACATG-1", "iM.data_GTGCTGGAGCTGAGTG-1", "iM.data_GTCGAATAGATCGCTT-1", "iM.data_TGAGGAGAGCCTGCCA-1", "iM.data_GGGTTATTCTATACGG-1", "iM.data_AGAACCTTCGGAGATG-1", "iM.data_GTTACAGAGTTGGACG-1", "iM.data_GAATCGTGTCCCAAAT-1", "iM.data_ATCACTTAGAGAATCT-1", "iM.data_CTCCCTCCAACGGGTA-1", "iM.data_TGCTTGCGTCATGGCC-1", "iM.data_CGCATGGCAACCGCTG-1", "iM.data_TAACTTCGTAGCGATG-1", "iM.data_CTCATCGGTTGTGGCC-1", "iM.data_TCGTGCTTCCTGTAGA-1", "iM.data_TCAAGACGTTATGTGC-1", "iM.data_AAGATAGAGGTGCTTT-1", "iM.data_GCGTGCAGTGGTTTGT-1", "iM.data_TCACTATAGAATCGCG-1", "iM.data_TGTTTGTAGAGTTCGG-1", "iM.data_TGCACGGTCTAAACGC-1", "iM.data_ATGGGAGAGTCCTGCG-1", "iM.data_GCATGATAGGCTAACG-1", "iM.data_CTGAGGCGTAATGCGG-1", "iM.data_CTCTCAGAGTAGGTTA-1", "iM.data_AGAAGCGGTATCGGTT-1", "iM.data_CCTATCGCATGAGGGT-1", "iM.data_CTGCATCGTTGGAGAC-1", "iM.data_CACCGTTGTAAGGTCG-1", "iM.data_TCAGGTAAGTAAATGC-1", "iM.data_ATCTCTAAGTGTGTTC-1", "iM.data_CGAGTTACACATCCCT-1", "iM.data_GTTGTAGGTTATGTGC-1", "iM.data_TCAAGACTCTACTGAG-1", "iM.data_TTTAGTCTCTGTGCAA-1", "iM.data_CGTAGTAAGCCACCGT-1", "iM.data_TCAAGCATCCATAGAC-1", "iM.data_GGAGAACCATACCAGT-1", "iM.data_GTTCTATCAATTGAAG-1", "iM.data_GCGATCGGTGAACCGA-1", "iM.data_CATCCGTAGAGCCGAT-1", "iM.data_CGTTCTGTCGTGTGGC-1", "iM.data_CGATGGCCACCGAATT-1", "iM.data_CACACAAAGTATGAAC-1", "iM.data_GGGAAGTGTTGTGGAG-1", "iM.data_GTGTAACCATTGAAGA-1", "iM.data_CCTTCAGAGTCGAGGT-1", "iM.data_ATTTCACCATTCCTAT-1", "iM.data_CACTTCGAGAACGTGC-1", "iM.data_ACGTAGTGTTCCACGG-1", "iM.data_TTTCAGTGTCTTCAAG-1", "iM.data_GAATAGACAGCTCTGG-1", "iM.data_AAAGTGATCCGTGTAA-1", "iM.data_ATCGGATTCCTTTAGT-1", "iM.data_ACTATTCGTTAATCGC-1", "iM.data_AAGACAAAGTCATCGT-1", "iM.data_GATGGAGCAGTAGAGC-1", "iM.data_CCTCCAAGTGTATACC-1", "iM.data_AGGGCTCAGACAACAT-1", "iM.data_ACTATCTAGGTTAAAC-1", "iM.data_TCATGGAAGCCGTCGT-1", "iM.data_TCTGGCTAGGAGGGTG-1", "iM.data_CGGGTGTGTCACAGTT-1", "iM.data_ATCGTCCCAGTCCGTG-1", "iM.data_GCCATGGAGGATACAT-1", "iM.data_CCTGCATCATTCTGTT-1", "iM.data_AGATCGTAGGGTACGT-1", "iM.data_TGTTCCGAGTACGAGC-1", "iM.data_CCACGAGGTATACGGG-1", "iM.data_ATATCCTGTCGTGGTC-1", "iM.data_GAGTTGTAGGCACCAA-1", "iM.data_CGATGCGGTCTGGTTA-1", "iM.data_TCGTAGATCCATCCGT-1", "iM.data_ACCTGAACACGTGAGA-1", "iM.data_TATCTTGAGCCTTCTC-1", "iM.data_AGGAAATTCCCAGCGA-1", "iM.data_TCGGTCTTCATTACTC-1", "iM.data_AACACACGTGATAGAT-1", "iM.data_TGTCCCAGTGGTCAAG-1", "iM.data_ATTACCTTCCATACAG-1", "iM.data_AGGTTGTGTGAACGGT-1", "iM.data_TCACACCAGAAGGCTC-1", "iM.data_CGTCAAACATATTCGG-1", "iM.data_ACAAAGAAGCCGAACA-1", "iM.data_CAATCGAAGGCATCGA-1", "iM.data_GCATCGGGTGGATGAC-1", "iM.data_GCATTAGAGATACATG-1", "iM.data_GGGTCTGGTCTGCATA-1", "iM.data_CACAGGCGTCGAATGG-1", "iM.data_TATCGCCAGCGTCGAA-1", "iM.data_GTCTACCCAACGACAG-1", "iM.data_TCAAGCAAGTGGTTCT-1", "iM.data_GCGATCGAGGTGATCG-1", "iM.data_TCGATTTAGAAGGTAG-1", "iM.data_GGGTGTCGTGGAACCA-1", "iM.data_GGGAGTATCCTTTAGT-1", "iM.data_GTTCGCTGTAACGTTC-1", "iM.data_ACGGGTCGTGCATACT-1", "iM.data_GGTGATTAGAAGTCTA-1", "iM.data_CAAAGAAGTCATAAAG-1", "iM.data_TACCTCGGTGTCCAAT-1", "iM.data_GTGGAGAGTCGTGATT-1", "iM.data_TAGGTTGAGCTGTACT-1", "iM.data_TGACAGTCATACAGCT-1", "iM.data_TCCGGGATCAAATAGG-1", "iM.data_ACTCCCAGTACGTGAG-1", "iM.data_TCGCTTGCACAGCCTG-1", "iM.data_TTTCACAAGATAGTGT-1", "iM.data_GAGTTGTGTTCCGCTT-1", "iM.data_CATTGAGGTAACGGTG-1", "iM.data_AGAGCAGGTCTGGTTA-1", "iM.data_TCTCAGCAGGCCTTGC-1", "iM.data_GAATCGTTCATTACTC-1", "iM.data_GTCGCGACACAGCCTG-1", "iM.data_TTTCACAAGCCGCTTG-1", "iM.data_TCACACCAGGTCGTAG-1", "iM.data_ACCGTTCTCGTGTTCC-1", "iM.data_GATTCTTCACCTGTCT-1", "iM.data_CAACGGCCAGCGTTGC-1", "iM.data_GTGGAAGGTAGCCAGA-1", "iM.data_TTCCAATTCGGCACTG-1", "iM.data_AGGGCTCTCTGAGGCC-1", "iM.data_AGAGAGCGTGGATACG-1", "iM.data_ATCGTAGGTCCATAGT-1", "iM.data_GCCAACGTCGGTGCAC-1", "iM.data_AGAAGCGTCCGCACGA-1", "iM.data_CATTCATGTTAGGGAC-1", "iM.data_CATAAGCCAGGTGTTT-1", "iM.data_ATCGTGACACTCAGAT-1", "iM.data_TCTGTCGGTAATACCC-1", "iM.data_CTACCTGTCAGTGTGT-1", "iM.data_AGGAGGTCAGAGGTAC-1", "iM.data_CCTCCAAAGTCGGCCT-1", "iM.data_TTGTTCAGTCGAGTTT-1", "iM.data_AGGTTGTGTGTTACTG-1", "iM.data_AGATCGTGTGTCACAT-1", "iM.data_TCCGTGTGTGACTAAA-1", "iM.data_AGGAAATTCCCTGGTT-1", "iM.data_TCGAAGTAGAGAACCC-1", "iM.data_TCGTGGGCAGGTGGAT-1", "iM.data_GGAGGTAAGTGTTGTC-1", "iM.data_TCGCAGGTCGCTCCTA-1", "iM.data_AAGTGAAAGATGACCG-1", "iM.data_CGTAAGTGTAACTGCT-1", "iM.data_CGTGAATTCCACTGGG-1", "iM.data_AGGGTGAGTGTCCACG-1", "iM.data_TCAGGGCAGGCCATAG-1", "iM.data_TTTCCTCTCTCATTTG-1", "iM.data_GACTTCCCAGTCCGTG-1", "iM.data_TCTGCCATCACAAGAA-1", "iM.data_TTACCATGTCAGTCCG-1", "iM.data_ATGGAGGTCAATGTCG-1", "iM.data_TGTAACGAGGATATGT-1", "iM.data_TCTTTGACAAGAGTGC-1", "iM.data_GCAACATGTGCCGTTG-1", "iM.data_TGTTCATTCAGTGCGC-1", "iM.data_GCTACCTGTTAAGGAT-1", "iM.data_TTTAGTCGTGATAGTA-1", "iM.data_TGATGCAGTTCATCGA-1", "iM.data_ATACCGAGTATCGTAC-1", "iM.data_TCATATCGTTTGTGGT-1", "iM.data_GTGGAGAGTAGTTACC-1", "iM.data_GATAGAAAGGCTTCCG-1", "iM.data_AGACAAAAGGTAGTCG-1", "iM.data_CGGGCATAGTCTTCCC-1", "iM.data_AAGTCGTGTTTCAGAC-1", "iM.data_TTACCATAGACATGCG-1", "iM.data_AGAAGTAGTGCTCGTG-1", "iM.data_ACTTCGCCAAGAGATT-1", "iM.data_GTCACTCAGAGGTTTA-1", "iM.data_GCCAGGTAGTGCTCAT-1", "iM.data_GTTAGTGAGGGTACAC-1", "iM.data_GCGTGCAGTGAATGAT-1", "iM.data_CGTGAATTCTGACAGT-1", "iM.data_ATCCGTCGTAGTTCCA-1", "iM.data_GTTCCGTTCTAGATCG-1", "iM.data_CTCAGGGCAGTCGAGA-1", "iM.data_ATTACCTCATGACGGA-1", "iM.data_CTGGTCTTCATGGAGG-1", "iM.data_GGCACGTTCTTCGGTC-1", "iM.data_CTGTATTCACTTTAGG-1", "iM.data_GAGATGGGTGGAATGC-1", "iM.data_CATTTCAGTTCCTAAG-1", "iM.data_CTGTGGGAGAATGTTG-1", "iM.data_TCTCACGGTAGACGTG-1", "iM.data_GTGGTTATCAGTGTCA-1", "iM.data_TGAGGGAAGGCTAACG-1", "iM.data_TATCTGTTCCTCAGGG-1", "iM.data_TTATTGCAGAAGTCTA-1", "iM.data_TTGTTGTGTGTGTCGC-1", "iM.data_TGAGGGAGTTGAAGTA-1", "iM.data_TCGTGGGGTTTACTGG-1", "iM.data_CAGGGCTAGCTAAATG-1", "iM.data_ACGTAGTAGGTAAACT-1", "iM.data_TCTCACGGTGAATAAC-1", "iM.data_GGTAACTAGATGAAGG-1", "iM.data_TATACCTGTGGATTTC-1", "iM.data_AACAAAGCAAGACAAT-1", "iM.data_CATCGTCAGTCATCCA-1", "iM.data_TGTTGGAGTTGCCTAA-1", "iM.data_GACCAATAGTTGGCTT-1", "iM.data_GAGCCTGGTAGTCGTT-1", "iM.data_CCACCATCAAGAGAGA-1", "iM.data_GAGACCCTCTATCGGA-1", "iM.data_GGGTTTAGTAGCGTTT-1", "iM.data_CAGCAATGTGCAACGA-1", "iM.data_GACTCTCCAGTATACC-1", "iM.data_CCGTTCAAGTGCCCGT-1", "iM.data_GGCGTCATCCATATGG-1", "iM.data_TCATGCCTCGCAAGAG-1", "iM.data_GGGCTACAGCCGATAG-1", "iM.data_ATCACGACAACCGTGC-1", "iM.data_AGCCACGCATCAGCGC-1", "iM.data_GTCTTTATCGCTACGG-1", "iM.data_TACAACGAGTAACAGT-1", "iM.data_CATGCTCAGTTTGGCT-1", "iM.data_CCCTAACTCGACGACC-1", "iM.data_ATCCTATAGGTCGTGA-1", "iM.data_AAACGAATCGCGGTAC-1", "iM.data_TTCCGGTCATGCAGCC-1", "iM.data_TTGGTTTAGTAGAGTT-1", "iM.data_GGGAAGTTCGGAGTGA-1", "iM.data_AGATAGAAGTAGGCCA-1", "iM.data_GTTGTAGGTTGCTCAA-1", "iM.data_TAACTTCGTGCTGATT-1", "iM.data_TGACGCGTCACTACGA-1", "iM.data_GAAGGGTCACAATGAA-1", "iM.data_CTGTAGATCATTCATC-1", "iM.data_TGTGAGTAGCCGATCC-1", "iM.data_TGAGTCAGTCGGAAAC-1", "iM.data_CATACTTGTAGAAACT-1", "iM.data_CAACGGCGTTACGATC-1", "iM.data_CATCGTCGTAGTCTTG-1", "iM.data_GATAGCTCAACAGATA-1", "iM.data_TATATCCGTTTGCAGT-1", "iM.data_GGGATCCGTTGTTTGG-1", "iM.data_TATTTCGAGGTAGATT-1", "iM.data_GTGGTTAGTGGTATGG-1", "iM.data_TTGCTGCTCAATGTCG-1", "iM.data_ACGCACGCAAAGGGCT-1", "iM.data_GGGTCACAGCAGTCTT-1", "iM.data_TGCATGAAGAAACACT-1", "iM.data_CCTGCATCAACCGCTG-1", "iM.data_CTACGGGGTAAGCTCT-1", "iM.data_CCTACGTGTGTCTCCT-1", "iM.data_AGTGACTGTGACTCTA-1", "iM.data_CAGATTGTCGAGTGAG-1", "iM.data_TGAGGTTGTTAGAAGT-1", "iM.data_TGTGGCGAGAATAGTC-1", "iM.data_GTTTGGAGTAGTGATA-1", "iM.data_CAAAGAAAGCCGTTAT-1", "iM.data_GGCTTTCGTGTCATCA-1", "iM.data_CCGTGAGAGAGCATAT-1", "iM.data_GCATCTCCATAGCACT-1", "iM.data_ACTTTGTAGGTGGTTG-1", "iM.data_TCATGAGAGGCGTTAG-1", "iM.data_TTGCGTCGTCTCACAA-1", "iM.data_CGAAGGATCAGCTGAT-1", "iM.data_TACTTGTGTAACACCT-1", "iM.data_GGATGTTAGATGCTTC-1", "iM.data_GAGGGTAGTTGGTGTT-1", "iM.data_CAAGGGATCCCAAGCG-1", "iM.data_CTGAGGCGTCTGTTAG-1", "iM.data_AACTTCTCAGCTCGGT-1", "iM.data_GGCAGTCGTGGCAACA-1", "iM.data_TAGAGTCCAGCACACC-1", "iM.data_GACGTTATCGCTAGCG-1", "iM.data_CGTCAAAAGAGTTGAT-1", "iM.data_GTCGTAACATTGCTGA-1", "iM.data_GGAGGATAGATGCTAA-1", "iM.data_CTCCGATGTCGCAGTC-1", "iM.data_TTGATGGAGGCTCTAT-1", "iM.data_GATTCGAAGACACACG-1", "iM.data_TTAGGCAGTCGATTAC-1", "iM.data_TGGGCTGAGCAAGTCG-1", "iM.data_CGTAATGGTTAACAGA-1", "iM.data_ACGTCCTGTCTTGAAC-1", "iM.data_TCGGGCATCATCGTAG-1", "iM.data_CAAAGAAGTCATCCCT-1", "iM.data_ACACAGTCAGTGTGCC-1", "iM.data_TCGGTCTGTTAAGTCC-1", "iM.data_TATCAGGTCTACCCAC-1", "iM.data_TTGGGTAAGTGCTCGC-1", "iM.data_CGCAGGTCAGACACAG-1", "iM.data_ACGATCAAGTTGCGCC-1", "iM.data_GTCATTTGTACAAACA-1", "iM.data_GTTCTATCAGCTCGGT-1", "iM.data_CGTTCTGAGAGGATGA-1", "iM.data_TACTTCATCATCACAG-1", "iM.data_GAGTTACGTAAGGAGA-1", "iM.data_GTTGCGGAGGGATGTC-1", "iM.data_GTCTTTAAGGACGGAG-1", "iM.data_CTCTCAGAGCACTCGC-1", "iM.data_GTAGCTAGTCTTCGAA-1", "iM.data_AGTTAGCAGGAAAGAC-1", "iM.data_TGGTGATAGCGTATAA-1", "iM.data_GGTAGAGTCGGTCGGT-1", "iM.data_TGTTGGACATACTGTG-1", "iM.data_CTACCTGGTTTCGTAG-1", "iM.data_GGTTCTCGTGTTAACC-1", "iM.data_ATCCACCGTCTCGGGT-1", "iM.data_CACTGAATCTATTTCG-1", "iM.data_ATCGGATGTATGTCTG-1", "iM.data_TCTATACGTTGTCAGT-1", "iM.data_CACTGGGAGGCAATGC-1", "iM.data_GTCGTAAAGGTCATCT-1", "iM.data_CACCGTTTCGTGGTAT-1", "iM.data_ACCATTTGTAACTAAG-1", "iM.data_CATCCGTTCAGCGCGT-1", "iM.data_TTTCCTCAGGTCGCCT-1", "iM.data_ACCGTTCAGCGAGTCA-1", "iM.data_TAGACCAGTACTGCGC-1", "iM.data_AGTCAACTCAAGAGTA-1", "iM.data_TTAGGCAGTTCGTAAC-1", "iM.data_ATCGATGAGAAGTGTT-1", "iM.data_GATTGGTAGAACTGAT-1", "iM.data_CAGCAGCCAGTGTGGA-1", "iM.data_ATCGTCCTCATCTGTT-1", "iM.data_TGAGCATGTCATCGCG-1", "iM.data_CCGGTAGAGCCTCTTC-1", "iM.data_TATACCTAGCGGTAAC-1", "iM.data_TTGGATGGTTCAGGTT-1", "iM.data_CTAAGTGCAGGGAGAG-1", "iM.data_TTCGGTCTCACTGGGC-1", "iM.data_CAAAGAAGTGTTAACC-1", "iM.data_TTGAGTGGTAGTCGTT-1", "iM.data_CATCGGGAGATTAGTG-1", "iM.data_TGCTCGTAGATGTTGA-1", "iM.data_GTGTTCCCAGTTGTCA-1", "iM.data_TTCCTAAAGTGGAAGA-1", "iM.data_TGAGGTTGTCTGTGAT-1", "iM.data_GTCATCCCAGAGACTG-1", "iM.data_CCTTGTGGTTCGTACA-1", "iM.data_ATTGTTCCAAGCTGTT-1", "iM.data_AAGTTCGTCGGCTTGG-1", "iM.data_TGTTCATAGATTGTGA-1", "iM.data_GAGGCAAAGTGCAACG-1", "iM.data_CGGAGAACACGTTCGG-1", "iM.data_GCGATCGAGATAGTGT-1", "iM.data_GTGGGAAGTGGTTCTA-1", "iM.data_TGGATCATCAGTGCGC-1", "iM.data_GGAATGGTCTGTTGGA-1", "iM.data_ACCATTTGTGTAACGG-1", "iM.data_TATTGGGTCGCCTATC-1", "iM.data_GTTTGGAGTTGGGACA-1", "iM.data_CTGATCCAGTATAACG-1", "iM.data_TCTCTGGGTACAACGG-1", "iM.data_TTTATGCTCAAGAAAC-1", "iM.data_GTCATGACATGCGTGC-1", "iM.data_AGGAGGTCAGATCCAT-1", "iM.data_GTTGTCCAGTCGAATA-1", "iM.data_CTGTGAAGTTGGACCC-1", "iM.data_ACTTTCAAGACGCTCC-1", "iM.data_TCACATTCAAAGCGTG-1", "iM.data_CGGAACCCACCCAATA-1", "iM.data_GTTGCTCTCGACGCGT-1", "iM.data_TCGATTTGTCCGGATC-1", "iM.data_ACTGTGATCGTAGCTA-1", "iM.data_CCAATGAGTGATCGTT-1", "iM.data_AACCAACAGTCTACCA-1", "iM.data_ACGTAGTTCGTCGACG-1", "iM.data_GGGATCCTCCGTGTGG-1", "iM.data_CTGCGAGGTCAGTCCG-1", "iM.data_TGCACGGCACAGTCCG-1", "iM.data_AACGAAATCGTTCGCT-1", "iM.data_TAGACCACATTATGCG-1", "iM.data_GTAACACGTCAAAGAT-1", "iM.data_CATCGTCCAGTTCTAG-1", "iM.data_GCCAGGTGTGCTTCAA-1", "iM.data_TATCCTAGTGGTCAAG-1", "iM.data_TAAGTCGGTCACTTAG-1", "iM.data_AGGTAGGGTTGCCAAT-1", "iM.data_GTCGAATCAATCAGCT-1", "iM.data_TGCTCGTTCAGAGCGA-1", "iM.data_CCGGACAAGGGTAGCT-1", "iM.data_ACAGCCGTCTATTGTC-1", "iM.data_TGCGACGCAGTGTATC-1", "iM.data_TTGCTGCGTCCCTAAA-1", "iM.data_CTCATTATCGACCACG-1", "iM.data_ACAGCCGCAGCGTATT-1", "iM.data_CAGATCAAGCTAGAGC-1", "iM.data_AGTTCGATCTCTTCAA-1", "iM.data_GACTATGCAGCTTCGG-1", "iM.data_GGTCTGGCACAGTCGC-1", "iM.data_ACTATTCAGCTATCTG-1", "iM.data_TCCGAAAGTCTACAGT-1", "iM.data_TCGACGGCATAACGGG-1", "iM.data_TGCTTCGTCCGCAACG-1", "iM.data_TATCCTAAGATAGGGA-1", "iM.data_GAAGCCCCAGACCAAG-1", "iM.data_GCCGTGAGTAATCAGA-1", "iM.data_CAAGGGATCTTCCGTG-1", "iM.data_ACCCTCATCGTAGGGA-1", "iM.data_GAGACTTTCTAGTACG-1", "iM.data_CATGCAAAGGTTACAA-1", "iM.data_GCACTAATCAGCTGTA-1", "iM.data_CAACCAAGTGATACAA-1", "iM.data_TCGGGACCATGCCATA-1", "iM.data_ATGGTTGAGCACACAG-1", "iM.data_TGAACGTAGCCAGTAG-1", "iM.data_TTGTTGTCAATGTTGC-1", "iM.data_AGTAGTCGTGCCAAGA-1", "iM.data_TTCTCTCGTGTATTGC-1", "iM.data_TCGCTCAGTTGTGTTG-1", "iM.data_CGGGTGTAGTGGTGGT-1", "iM.data_TCGTAGACACAAACGG-1", "iM.data_TGGGCTGGTTCATCTT-1", "iM.data_AGTAGTCGTCTTGCGG-1", "iM.data_TGATGCACAGCTCCTT-1", "iM.data_TACGCTCTCTGTGCGG-1", "iM.data_GGATGTTCATATTCGG-1", "iM.data_GAGTCTAGTAGATGTA-1", "iM.data_CTAAGTGGTGTCACAT-1", "iM.data_GATTCGAAGCGTGAGT-1", "iM.data_TCAGTTTAGTCGGCCT-1", "iM.data_GGCTGTGTCACCACAA-1", "iM.data_TGTAGACTCTTGCAGA-1", "iM.data_CCGTTCAGTGAAGCGT-1", "iM.data_CTCCCAACAACAAAGT-1", "iM.data_TCATTTGGTGAAAGTT-1", "iM.data_TAACTTCAGGATTTGA-1", "iM.data_TTGAGTGGTGTGTGTT-1", "iM.data_TTGCCTGAGATTGACA-1", "iM.data_TCTGGCTCATATGCGT-1", "iM.data_TACCGAAAGAGTCTTC-1", "iM.data_TTTACGTCAGAACTCT-1", "iM.data_TTGCATTTCCAGTGCG-1", "iM.data_CGGGTGTTCCGCGATG-1", "iM.data_GAAGTAATCGCCTAGG-1", "iM.data_ATGACCAAGATTGGGC-1", "iM.data_CCTCACATCGATACTG-1", "iM.data_GCCGTGATCTGGGCAC-1", "iM.data_AGAGCCCGTTGGTACT-1", "iM.data_GAGTGAGTCGGTGCAC-1", "iM.data_GTAGAGGTCCATATGG-1", "iM.data_ACTACGAAGTCGCCCA-1", "iM.data_GTGTCCTTCTAGTCAG-1", "iM.data_CCATAAGAGAGTTGTA-1", "iM.data_TATCTGTCAGTTTCGA-1", "iM.data_GGAAGTGTCATAGCAC-1", "iM.data_AGGCTGCGTCCTCCTA-1", "iM.data_TGAGACTTCTGTCCGT-1", "iM.data_GAGAAATCATCCGAGC-1", "iM.data_GTCCCATCATTACTCT-1", "iM.data_AGCGATTTCGATAACC-1", "iM.data_GTTCGCTAGAGATTCA-1", "iM.data_TAGATCGGTTGACTAC-1", "iM.data_TAATTCCGTAAGGTCG-1", "iM.data_ATGTCTTGTGATACCT-1", "iM.data_CTGTAGACAGATAAAC-1", "iM.data_GATGATCAGATGACCG-1", "iM.data_TGAGCATCATCGTGGC-1", "iM.data_ATCTCTAAGAGGGTGG-1", "iM.data_AGAACCTAGATGCCGA-1", "iM.data_GTAATGCGTTTAGTCG-1", "iM.data_CGTGTCTAGACTTCAC-1", "iM.data_CCCTCTCAGTAACGTA-1", "iM.data_GTAACCATCCCAGGCA-1", "iM.data_AGGACTTGTGCTTATG-1", "iM.data_AGGTGTTTCAGCTGTA-1", "iM.data_GATTGGTGTCCGAAGA-1", "iM.data_ATTCATCTCGCAATGT-1", "iM.data_CGAATTGGTTACCTGA-1", "iM.data_CCACAAACACTCGATA-1", "iM.data_CTAAGTGAGTTTCGGT-1", "iM.data_CTTCCGACAGAGGTTG-1", "iM.data_ATGGGAGGTATGAAAC-1", "iM.data_ACAGAAACAGAACTAA-1", "iM.data_CAGAGCCGTGATAGTA-1", "iM.data_TTGAGTGTCTGGCCTT-1", "iM.data_ATGGTTGAGATGAAGG-1", "iM.data_ACACGCGGTGTTAAAG-1", "iM.data_TGCGACGTCGTTCTCG-1", "iM.data_GAAGCCCAGTCCCGGT-1", "iM.data_ATTACCTTCTCTGGTC-1", "iM.data_CTAGGTACATCCAACA-1", "iM.data_CAACAACCACGACGTC-1", "iM.data_ATGGAGGGTCGTCATA-1", "iM.data_CGTGCTTTCCTCATAT-1", "iM.data_CTGGACGTCTGAGAGG-1", "iM.data_TCAGTCCCAAGGCCTC-1", "iM.data_AGTACTGCAAGAGTTA-1", "iM.data_AGATGAAAGGTAGATT-1", "iM.data_AGATGCTTCTATGTGG-1", "iM.data_TCCGGGAGTAGTTACC-1", "iM.data_AAACGCTAGGCTAGCA-1", "iM.data_AACGAAAGTCATCGCG-1", "iM.data_TTGGGTAGTCTACACA-1", "iM.data_GTCTGTCCACGACAGA-1", "iM.data_TCGGGACAGGACAGCT-1", "iM.data_TGCGGCAAGAGCAGCT-1", "iM.data_AAAGAACGTAGACACG-1", "iM.data_CCTAAGAGTGATCGTT-1", "iM.data_CCCGGAAGTTTCACAG-1", "iM.data_GAATCGTAGTGACACG-1", "iM.data_GAGTTTGGTCGTGCCA-1", "iM.data_GCGTTTCTCCCACAGG-1", "iM.data_GTGCTTCCACAATGCT-1", "iM.data_GGTTAACGTTCCCACT-1", "iM.data_TTTCATGGTATCGTTG-1", "iM.data_CTCTCGAAGTTGGCTT-1", "iM.data_CCACGTTAGGGTTAGC-1", "iM.data_ATCACAGAGGGTAATT-1", "iM.data_ATCGTGAGTTGAGAGC-1", "iM.data_CTCCATGAGTGAGTTA-1", "iM.data_CGATCGGGTCCAGGTC-1", "iM.data_TAAGTCGAGGATGAGA-1", "iM.data_AAGCGTTTCCAGTGTA-1", "iM.data_GGATCTAAGCAGGCAT-1", "iM.data_CAGTGCGTCTACTGCC-1", "iM.data_ACCATTTGTAGGGAGG-1", "iM.data_CATCGGGGTCCCGTGA-1", "iM.data_GTTACGACAGCAGTTT-1", "iM.data_GTTACGAGTCGGTGAA-1", "iM.data_AGGGCCTTCACAAGGG-1", "iM.data_AGCGATTGTCCAGCGT-1", "iM.data_AAAGTCCCAAGTGGTG-1", "iM.data_CAAGCTATCCACGTCT-1", "iM.data_TGATCTTGTTCGTAAC-1", "iM.data_GCGAGAATCTCCGATC-1", "iM.data_TAACTTCCATAGATGA-1", "iM.data_ACATCGAGTAGACTGG-1", "iM.data_AGAAATGAGTCAACAA-1", "iM.data_CCACCATGTGGTCTTA-1", "iM.data_TGCGACGGTATTAAGG-1", "iM.data_TATTTCGGTAATCAAG-1", "iM.data_CATCGCTGTCCGACGT-1", "iM.data_AAGAACACATGCACTA-1", "iM.data_ATCATTCTCATGGCCG-1", "iM.data_TTGCGTCCACGTCATA-1", "iM.data_CCTCATGTCAGCAATC-1", "iM.data_TCGCAGGAGCACCGTC-1", "iM.data_CGTGATAGTGGGAGAG-1", "iM.data_TGTTGAGTCTATCGTT-1", "iM.data_GTTCTATGTGCCAAGA-1", "iM.data_AATGGCTAGTCGGGAT-1", "iM.data_GTAGTACAGGTTATAG-1", "iM.data_GTGGAAGAGTCATAGA-1", "iM.data_GAAGCCCAGTATGACA-1", "iM.data_AAGACAATCAGGCGAA-1", "iM.data_CCAAGCGTCATAGACC-1", "iM.data_ACTATGGGTCAAATCC-1", "iM.data_CGTTAGAAGAGTTCGG-1", "iM.data_AATGACCGTAACCCGC-1", "iM.data_GCGTTTCGTGGCGCTT-1", "iM.data_TACGTCCTCTGCTAGA-1", "iM.data_TTTGATCGTAAGTTGA-1", "iM.data_ACAGCCGTCTAGTGTG-1", "iM.data_CCGGACACACCTTCGT-1", "iM.data_AGGAATATCGATACAC-1", "iM.data_TCGGATATCTGTACAG-1", "iM.data_CCTCAGTTCAGGCGAA-1", "iM.data_TCCTCCCCAAACGTGG-1", "iM.data_GGTTGTATCCTCACTG-1", "iM.data_GTAGTACAGAACTGAT-1", "iM.data_AAAGGGCGTTGGTGTT-1", "iM.data_CTGAATGCAGACCAAG-1", "iM.data_GACGTTAAGTTGGACG-1", "iM.data_GTTAGTGTCTCATGGA-1", "iM.data_ACGTAGTTCGTCAGAT-1", "iM.data_AGAGCAGAGGTCGTCC-1", "iM.data_GGTAATCGTGATATAG-1", "iM.data_CATTGTTAGGAAGTCC-1", "iM.data_CAGCCAGAGTGGAAGA-1", "iM.data_AGACAAAAGGTATAGT-1", "iM.data_TACACCCAGATTGGGC-1", "iM.data_CGGAACCCAGCTTTGA-1", "iM.data_CGAGAAGTCCACTAGA-1", "iM.data_GTGATGTCATACTGTG-1", "iM.data_TGGTAGTAGAGGGTAA-1", "iM.data_ATTCTACAGAGCAAGA-1", "iM.data_GAACGTTGTCGGTAAG-1", "iM.data_ACCACAAAGTATGGAT-1", "iM.data_ATGTCTTGTCAAGCGA-1", "iM.data_GGAGGATAGATACTGA-1", "iM.data_TGTTCTAGTCGGTAAG-1", "iM.data_CTCGAGGCATTGCTGA-1", "iM.data_AACAAGAAGAGAGCCT-1", "iM.data_ATCGGCGCAGCGGTCT-1", "iM.data_ACGTAGTGTGAATTGA-1", "iM.data_ATGAGGGTCTATTCGT-1", "iM.data_GCCAGCAAGTATGCAA-1", "iM.data_GTCATGATCACCTGTC-1", "iM.data_CCGGGTATCATCGGGC-1", "iM.data_GTTACGAGTTGTATGC-1", "iM.data_TCCTTCTAGATAGGGA-1", "iM.data_TACTTGTTCTGTCCCA-1", "iM.data_GAGCCTGGTACTCGAT-1", "iM.data_GACAGCCTCCTTTGAT-1", "iM.data_CTGGTCTGTACGATTC-1", "iM.data_TGTGATGCAGGCTACC-1", "iM.data_CCGTGAGCAATACGCT-1", "iM.data_GTCAAGTAGAAGGATG-1", "iM.data_TTTGTTGGTTTGGGAG-1", "iM.data_AAACGCTGTGATGTAA-1", "iM.data_GTCATCCAGTTGCGCC-1", "iM.data_CAGTTAGGTTGTACGT-1", "iM.data_CACGGGTTCGGCGATC-1", "iM.data_GAAATGACACGCGTGT-1", "iM.data_TTGAACGTCCGCGATG-1", "iM.data_GTGTAACAGATTAGTG-1", "iM.data_CTCAATTTCGGTCTAA-1", "iM.data_CACGGGTGTAACTGCT-1", "iM.data_ACCATTTAGGGCTTCC-1", "iM.data_TTGTTCAGTAGGTAGC-1", "iM.data_TGAGGAGCAGTGTGGA-1", "iM.data_TTTCGATTCTGATGGT-1", "iM.data_GTATTTCGTTACCGTA-1", "iM.data_GACGCTGGTAACGGTG-1", "iM.data_ATCCTATTCTGCATAG-1", "iM.data_GAAGCCCCAACCCGCA-1", "iM.data_TCATTCAAGTACCGGA-1", "iM.data_ACTTCCGAGAGATGCC-1", "iM.data_ACGTTCCCAATCGCGC-1", "iM.data_CTTCAATCATTCAGGT-1", "iM.data_CCCTAACAGCCTGTCG-1", "iM.data_CTGGCAGGTCATCGGC-1", "iM.data_TTACTGTCAAAGGCGT-1", "iM.data_GGAAGTGGTTCAAGTC-1", "iM.data_CTTTCAAAGAAGGGAT-1", "iM.data_TGCTCGTAGGGTGGGA-1", "iM.data_AGGGAGTAGCTGAGTG-1", "iM.data_CGGAACCGTTTAGAGA-1", "iM.data_AACTTCTGTAGCACAG-1", "iM.data_CCCGAAGCAAGATGTA-1", "iM.data_GTCACTCGTCAACATC-1", "iM.data_TGCATGACAAGACCTT-1", "iM.data_CAGTGCGCAAGTGGGT-1", "iM.data_CTGGCAGGTGCTTATG-1", "iM.data_ATGAGGGCAGCAGTAG-1", "iM.data_TACAGGTAGACATGCG-1", "iM.data_ACAGAAACATGACGAG-1", "iM.data_GATCAGTCAATTTCGG-1", "iM.data_CATCGGGTCGGTCTGG-1", "iM.data_ACCAACAAGGAATCGC-1", "iM.data_GTCTACCAGTGGACTG-1", "iM.data_CACTGAACAGCTTCCT-1", "iM.data_TGGTTAGGTGTGAGCA-1", "iM.data_GTCACGGCATGTGACT-1", "iM.data_GCAGCTGTCACCTCTG-1", "iM.data_CGGAATTGTTCGGCTG-1", "iM.data_GCCAGTGAGGATGAGA-1", "iM.data_ATAGAGAGTAATCAAG-1", "iM.data_GTCATCCGTGTGAATA-1", "iM.data_CCGGTGACATTCCTCG-1", "iM.data_CCGGTGAGTCAGCGTC-1", "iM.data_GCCAGCAGTGAGATAT-1", "iM.data_GGTTAACGTCGTGGTC-1", "iM.data_GCTCAAAAGTGCAAAT-1", "iM.data_GTTGTCCCAAGTGGGT-1", "iM.data_CCGGTGACAGTTGCGC-1", "iM.data_ACACCAACAAGACGAC-1", "iM.data_CTATAGGGTCGACGCT-1", "iM.data_GACTGATGTAGCCCTG-1", "iM.data_GGGAAGTTCTGGCCTT-1", "iM.data_TGGGCGTCAGTTAGAA-1", "iM.data_CACTGGGTCCGCGATG-1", "iM.data_AAGGTAAGTTATGTCG-1", "iM.data_AAGTCGTTCGACTCCT-1", "iM.data_CTAGGTAAGGATATAC-1", "iM.data_AAGACTCCAGTCGCTG-1", "iM.data_GGTGTTATCTCGGCTT-1", "iM.data_GTCCCATAGCCTCTTC-1", "iM.data_ACGTTCCCACATATCG-1", "iM.data_TAACTTCAGGAGTATT-1", "iM.data_TGGGAGACAATAGTAG-1", "iM.data_CATACAGTCGGTCTAA-1", "iM.data_CAGCACGCATCATCTT-1", "iM.data_TGTTCTATCTAGTGTG-1", "iM.data_AACCTGAAGCGAGGAG-1", "iM.data_GAGAAATTCTCGAGTA-1", "iM.data_CTTCTAAGTGCCTATA-1", "iM.data_CCAAGCGCACTATGTG-1", "iM.data_TGTTTGTTCCTCCACA-1", "iM.data_TGGTTAGGTACAGCGA-1", "iM.data_CATACTTGTGTTAACC-1", "iM.data_CTACAGAAGAACAGGA-1", "iM.data_GTTCATTTCTTTCGAT-1", "iM.data_GAGGGTATCTCCCAAC-1", "iM.data_CCTAAGATCCACGTCT-1", "iM.data_GGTGTCGTCACGAACT-1", "iM.data_CAAGCTACAGAGCTAG-1", "iM.data_GAGTTTGCAGTCCCGA-1", "iM.data_GCATTAGCAGGGATAC-1", "iM.data_GCATCGGCACGACCTG-1", "iM.data_TTGGGATAGCGACCCT-1", "iM.data_AGGTTGTAGGGTACGT-1", "iM.data_TCGAAGTAGTGCCTCG-1", "iM.data_AGGTTACAGTAACGTA-1", "iM.data_GAATCGTTCGCTCCTA-1", "iM.data_ACGGTCGCAAGCACAG-1", "iM.data_ATTGGGTGTGGTCTGC-1", "iM.data_TGAGTCAGTAAGTCAA-1", "iM.data_TTACGTTAGGCCTAGA-1", "iM.data_CATCCACCATGGGTCC-1", "iM.data_CATTGCCTCTCGCTCA-1", "iM.data_AACCCAACACCTCGTT-1", "iM.data_CTTGATTGTCTTTCAT-1", "iM.data_GCCATGGTCGGAGTGA-1", "iM.data_CTGAGCGCAATAACCC-1", "iM.data_CTATAGGAGTACGAGC-1", "iM.data_CTGCGAGAGACAACAT-1", "iM.data_CTGTAGATCTCATTGT-1", "iM.data_GCTTGGGTCTATACGG-1", "iM.data_TATTGCTGTAAGTTGA-1", "iM.data_AATCACGTCTATTCGT-1", "iM.data_GACCGTGAGGACTGGT-1", "iM.data_TGGGAGACAAATGGAT-1", "iM.data_TCAGTGAAGGATCATA-1", "iM.data_CTCATTAAGTGATTCC-1", "iM.data_GGGATGAGTGTCGATT-1", "iM.data_CGTAGTATCTGCACCT-1", "iM.data_GGTCACGGTAATGCTC-1", "iM.data_TTTATGCGTATACCCA-1", "iM.data_GATGGAGCACCTGCTT-1", "iM.data_GGGTGAATCCAGTGCG-1", "iM.data_TCACTCGTCTACACTT-1", "iM.data_ACCGTTCAGGATTACA-1", "iM.data_GCGTGCACACAGAGAC-1", "iM.data_GGGATCCGTGTTCGTA-1", "iM.data_GCATCTCAGGAATGTT-1", "iM.data_GATAGAAGTCAAAGTA-1", "iM.data_AGCGTATAGCACTAGG-1", "iM.data_TAAGCACTCGTGTGGC-1", "iM.data_AGGTCATTCGAAGAAT-1", "iM.data_GTTATGGAGCAGGCAT-1", "iM.data_AATGCCAGTGTGATGG-1", "iM.data_TGCATGATCGCAGTGC-1", "iM.data_CACTGGGGTGGAAATT-1", "iM.data_CAAAGAAAGGCTTAGG-1", "iM.data_AGCGTATCATGGAAGC-1", "iM.data_GTTCGCTAGCGTCAAG-1", "iM.data_TCGCTCAAGGCTTAGG-1", "iM.data_TGCGGGTTCGTGACTA-1", "iM.data_GGCTTTCAGGTCGTAG-1", "iM.data_ACTTATCAGTGGAAGA-1", "iM.data_GTCATTTGTGACTAAA-1", "iM.data_CTAACCCCATGAAGGC-1", "iM.data_TTCACCGGTCGTATTG-1", "iM.data_GATTTCTGTGCCTGCA-1", "iM.data_TGCCGAGCAACCACAT-1", "iM.data_CTACGGGCATGCCGCA-1", "iM.data_TGGGTTAAGTGATAAC-1", "iM.data_GACATCAGTCGGATTT-1", "iM.data_TGGGCGTCAAGTGTCT-1", "iM.data_TGCAGTATCATTACTC-1", "iM.data_AGGATCTAGTGGTTGG-1", "iM.data_ATAGAGATCAGCTTGA-1", "iM.data_TGCTGAATCTACCAGA-1", "iM.data_CGAATTGAGAGTTGTA-1", "iM.data_GTTGCGGTCAGGTAAA-1", "iM.data_TGGAGAGAGAGGGTAA-1", "iM.data_GGACGTCTCCATTCAT-1", "iM.data_TCTTTGAAGAAGCGAA-1", "iM.data_CTTCTAAAGACTGAGC-1", "iM.data_CACTGGGAGGTACTGG-1", "iM.data_TAGCACAAGGATATGT-1", "iM.data_TGTGTGAAGATGGTCG-1", "iM.data_GCTTGGGCAATTGCGT-1", "iM.data_AATGACCGTTGCCGAC-1", "iM.data_CCGTAGGAGGAATGTT-1", "iM.data_TGTCAGAGTAGCTTGT-1", "iM.data_CATCCGTAGGTTACAA-1", "iM.data_GTTGCGGAGTAGACCG-1", "iM.data_CTCAAGAGTTGGACTT-1", "iM.data_CCTCACATCACCTTAT-1", "iM.data_GAAGGACAGTGTCATC-1", "iM.data_GTGTTCCCAACGGCCT-1", "iM.data_TAGGTACGTATGCAAA-1", "iM.data_ATTCCATGTCTCAAGT-1", "iM.data_GTGAGTTTCTCGTTTA-1", "iM.data_TGATGGTGTATTCCTT-1", "iM.data_GTGGCGTGTGGATACG-1", "iM.data_TGTCAGAAGCACAAAT-1", "iM.data_TGATTCTGTTGCAACT-1", "iM.data_AGTAGTCTCGAGTTGT-1", "iM.data_CCTGCATGTACAGTTC-1", "iM.data_TTTGGTTCATGTCGTA-1", "iM.data_GTTACAGGTTGCATAC-1", "iM.data_GAAGAATCAATCCTAG-1", "iM.data_GTAGAAAAGGTCTTTG-1", "iM.data_AATCACGTCTTCCTAA-1", "iM.data_TTCATTGAGAATCGCG-1", "iM.data_TGATTCTGTCGTCGGT-1", "iM.data_AGCGCCACATTGACCA-1", "iM.data_TGCCGAGTCTGGCCTT-1", "iM.data_TGTTTGTGTCCCTAAA-1", "iM.data_TAACTTCGTATCTCTT-1", "iM.data_TTCTTCCGTCCTACGG-1", "iM.data_TAAGTCGCATGGAACG-1", "iM.data_TGTTCCGTCTACTGAG-1", "iM.data_CGTGAATAGTAATACG-1", "iM.data_TACGCTCGTATGCTTG-1", "iM.data_ACTTTCACACACCTGG-1", "iM.data_CTTTCGGGTGTATTGC-1", "iM.data_AGTCAACGTCGTGGAA-1", "iM.data_GTCACGGGTGTGGTCC-1", "iM.data_TCTTCCTCAGAGGCTA-1", "iM.data_TCTATCAAGCTCTATG-1", "iM.data_CAGATACTCGTGGCTG-1", "iM.data_GTACAGTGTAACGATA-1", "iM.data_AACAGGGAGACTCTTG-1", "iM.data_AGCGTATGTTGATGTC-1", "iM.data_GAGACTTCATTGTGCA-1", "iM.data_TCTGCCAGTCTGTGTA-1", "iM.data_AAGTGAAGTGTGATGG-1", "iM.data_ACGATCAAGTCTGCAT-1", "iM.data_CTCCACAGTCACTGAT-1", "iM.data_GGGCTCACAATTGCGT-1", "iM.data_GGAAGTGGTTAGGGTG-1", "iM.data_TCAATCTCAGCGGATA-1", "iM.data_CTACGGGGTTTAGAGA-1", "iM.data_TCTACCGCAACTTCTT-1", "iM.data_GCCTGTTGTTCGGTCG-1", "iM.data_TTGTGGAGTGAATGAT-1", "iM.data_ACCCAAAAGTGGACGT-1", "iM.data_ACTTCGCGTTGCCAAT-1", "iM.data_AGTACCAAGGGTTTCT-1", "iM.data_TGGTGATTCGCTGATA-1", "iM.data_TTCAGGAAGTCATACC-1", "iM.data_CATCAAGCATTGACTG-1", "iM.data_GACTATGAGTGATCGG-1", "iM.data_ATCCGTCCAGGAACCA-1", "iM.data_GAATAGAGTGGAAGTC-1", "iM.data_ACCCTTGTCATCGCCT-1", "iM.data_TATTGGGGTTGAGAGC-1", "iM.data_CCCGGAATCTATTGTC-1", "iM.data_TTCCTAACAGCGTATT-1", "iM.data_ATCAGGTTCGTGAGAG-1", "iM.data_GTCACGGTCCCATACC-1", "iM.data_CTGTGGGGTGTTCGTA-1", "iM.data_CAAGGGAAGAGCAAGA-1", "iM.data_GAATAGACAGACAAAT-1", "iM.data_CGGGTCAGTATCACCA-1", "iM.data_GTTAGACTCACAATGC-1", "iM.data_ATGAGGGAGTTACGAA-1", "iM.data_AGTACTGAGGGCCTCT-1", "iM.data_GATCGTAGTATTGACC-1", "iM.data_AGGTAGGTCAACGCTA-1", "iM.data_GAATCGTTCGCAGTTA-1", "iM.data_TGACAGTAGAGTTGAT-1", "iM.data_TCATTGTCAACTTGCA-1", "iM.data_CATCGTCGTTGTAAAG-1", "iM.data_TACCCGTTCTGCCTGT-1", "iM.data_CACCGTTAGACGGAAA-1", "iM.data_ACAACCAGTGAGACGT-1", "iM.data_AAAGTGAGTTCAAAGA-1", "iM.data_AAAGGGCGTCTACATG-1", "iM.data_TATACCTAGACGTCCC-1", "iM.data_GCTACCTTCAAGCTGT-1", "iM.data_TCTAACTTCAAGAATG-1", "iM.data_ACGCACGTCTAGTGTG-1", "iM.data_CAAGGGATCCACGTCT-1", "iM.data_CTGCATCGTCCGCAGT-1", "iM.data_AGGTTACCAGAAATTG-1", "iM.data_AGCGCTGTCTGAGAGG-1", "iM.data_CTCTGGTCAAGAGTGC-1", "iM.data_CGTAAGTTCATTTGTC-1", "iM.data_TCAATTCTCGGCATAT-1", "iM.data_CTAACTTAGCAAGTGC-1", "iM.data_AAAGTCCAGCCATATC-1", "iM.data_CTCATCGGTGTGTGTT-1", "iM.data_CTAGACAAGATGTTAG-1", "iM.data_ACGTACAGTAGATTGA-1", "iM.data_ATTCTACAGCGATGGT-1", "iM.data_CGCATAACAAGTGGAC-1", "iM.data_GCCATTCGTACGAAAT-1", "iM.data_ATGGGAGGTTAAACCC-1", "iM.data_AAGGAATGTGGAAATT-1", "iM.data_GGAGGTATCTAGCCTC-1", "iM.data_TTTCACATCGGAACTT-1", "iM.data_GTGGGAAGTCGGATTT-1", "iM.data_CTGGCAGAGGTTATAG-1", "iM.data_GCTACCTGTGGGAGAG-1", "iM.data_TGGTGATTCCATTGGA-1", "iM.data_TATCTTGCAATGCTCA-1", "iM.data_GATAGCTAGTGTTGTC-1", "iM.data_ACTTCGCGTTCTCCCA-1", "iM.data_GGGATCCGTCCTGGTG-1", "iM.data_CCACGTTCAAGACCTT-1", "iM.data_GTGGTTATCGTGCGAC-1", "iM.data_CGAGTGCTCCGATCGG-1", "iM.data_TCTGCCAGTCAACATC-1", "iM.data_GGGTGAATCAGACAAA-1", "iM.data_CTCGAGGAGGGCTGAT-1", "iM.data_AGTGATCGTCGTTGGC-1", "iM.data_CACTAAGTCAGCAGAG-1", "iM.data_AACCATGAGTTGCGCC-1", "iM.data_ATCGTCCTCGCCAATA-1", "iM.data_GGGCTACTCTAACGGT-1", "iM.data_CGTAGTACAAGGAGTC-1", "iM.data_CACTAAGGTAGAGTTA-1", "iM.data_GGGCGTTGTTGTAAAG-1", "iM.data_TTTCACAGTTATCCAG-1", "iM.data_TTTGGTTCACCAGCGT-1", "iM.data_GTTATGGAGTTAGAAC-1", "iM.data_GTTTGGAAGGCATTTC-1", "iM.data_TTGCTGCAGACCCGCT-1", "iM.data_TTCGATTGTAAGGCTG-1", "iM.data_ATGCATGTCCTGGGAC-1", "iM.data_GAAGGACGTTAAGGGC-1", "iM.data_CGAAGTTTCTCACGAA-1", "iM.data_GTGAGGATCGTCTCAC-1", "iM.data_GAATAGATCCGTGTGG-1", "iM.data_TGTGTGAGTTCTTAGG-1", "iM.data_TCTCCGACAAACTCGT-1", "iM.data_CTCTGGTCACGACAAG-1", "iM.data_TACCTGCTCCTAAGTG-1", "iM.data_CATAAGCAGGCCTGCT-1", "iM.data_TTCCTAAGTCGGCACT-1", "iM.data_TCGAACACACGTCGGT-1", "iM.data_GCCAGCAGTGTTAGCT-1", "iM.data_CCCATTGAGGTCGTGA-1", "iM.data_GGGCGTTAGAGCTGAC-1", "iM.data_GAGATGGGTCAACCAT-1", "iM.data_GCAACATAGCCATTGT-1", "iM.data_TGGTACAGTACTGACT-1", "iM.data_CAGTGCGTCAGCTTGA-1", "iM.data_CGGCAGTGTGACGCCT-1", "iM.data_TTGCGTCTCCAAGGGA-1", "iM.data_GCACGGTCAGCCCAGT-1", "iM.data_TAGTGCAAGCTAGAGC-1", "iM.data_GCAGCCAGTAGGACCA-1", "iM.data_GAGGGTATCCACAGCG-1", "iM.data_GGTAACTGTCGTCAGC-1", "iM.data_GATCAGTCAGAGGACT-1", "iM.data_CTCATTAGTGGCTCTG-1", "iM.data_ATCAGGTGTTTGTTGG-1", "iM.data_TGAATCGCAGGGCTTC-1", "iM.data_GAGACTTAGGCCACCT-1", "iM.data_TACCTGCAGGATATAC-1", "iM.data_TTCGATTGTTGCGTAT-1", "iM.data_GGGAAGTGTACTCCGG-1", "iM.data_GGAGGATAGTTCTACG-1", "iM.data_AAAGAACAGAGAATCT-1", "iM.data_TACATTCGTCCTGGGT-1", "iM.data_TTTACTGGTCACCGCA-1", "iM.data_AGTAGCTCACATGGTT-1", "iM.data_GTCCCATCATAACTCG-1", "iM.data_TACTTACCAGGTTCGC-1", "iM.data_GTGCAGCAGACCTGGA-1", "iM.data_CATTCATGTCGGTGTC-1", "iM.data_GGGAAGTTCTAGAACC-1", "iM.data_TGTGATGAGAAACTAC-1", "iM.data_GTGTCCTGTATCGGTT-1", "iM.data_GGATCTAGTAACATGA-1", "iM.data_ACTGTCCAGTGGGAAA-1", "iM.data_AGAAGCGGTAGACGTG-1", "iM.data_GAAGCGATCTCTTAAC-1", "iM.data_GCAGGCTGTGACTAAA-1", "iM.data_TCTGCCACATAGGTAA-1", "iM.data_TTTCAGTTCTCTGAGA-1", "iM.data_GACTCTCAGTACGTCT-1", "iM.data_GGCGTCACAAATCGGG-1", "iM.data_TTTACTGAGTTGAATG-1", "iM.data_TATTGGGTCCGCGAGT-1", "iM.data_TCACTATGTACGACAG-1", "iM.data_GTAGCTAAGTCTGCGC-1", "iM.data_GGAGGTACAATTGCCA-1", "iM.data_CGCATGGGTACGTGTT-1", "iM.data_GATTCTTAGGTCCCGT-1", "iM.data_AGCGTATAGTCTTGGT-1", "iM.data_AGACAAAAGAGTCTTC-1", "iM.data_CTATCCGAGTGATAGT-1", "iM.data_TTAGTCTGTTGGGCCT-1", "iM.data_AGATAGAAGGCGAACT-1", "iM.data_ATTCAGGCAGGGAATC-1", "iM.data_AGTCACATCAGGACGA-1", "iM.data_CTAACTTAGTAGATCA-1", "iM.data_TTGGGATGTGCTCTCT-1", "iM.data_GTTATGGGTCGGCCTA-1", "iM.data_AGCATCACATCTGCGG-1", "iM.data_GCAGCCAAGCCTTTGA-1", "iM.data_CGAGAAGAGTTGAAGT-1", "iM.data_CCACTTGGTGTCATTG-1", "iM.data_GTGGAAGCATCCAATG-1", "iM.data_GGTAGAGAGTTGCGCC-1", "iM.data_AGGTAGGGTGATGTAA-1", "iM.data_CGGAATTTCAGGAAGC-1", "iM.data_AACCTTTGTGTGTTTG-1", "iM.data_AAGTACCTCGTGTGGC-1", "iM.data_GTTCGCTGTGTTCAGT-1", "iM.data_GTGTTAGCAGTGTACT-1", "iM.data_GCTTCACTCAGCGCAC-1", "iM.data_TGAGTCACATCGGCCA-1", "iM.data_CAATACGGTATTGCCA-1", "iM.data_TCGCAGGGTTCCTTGC-1", "iM.data_CAAGGGATCCTAAACG-1", "iM.data_CTACCCATCAGCATTG-1", "iM.data_GTCTGTCGTTGGTAGG-1", "iM.data_CTGGTCTCATACCAGT-1", "iM.data_CTAACTTTCATGAGTC-1", "iM.data_TGGAGGACACAACGTT-1", "iM.data_CTCTCGACAGTTGGTT-1", "iM.data_GTTGCTCTCTCTCTTC-1", "iM.data_ACACTGACAAGTTTGC-1", "iM.data_CTATCCGAGTGCCAGA-1", "iM.data_CCATCACAGGTTAGTA-1", "iM.data_GCGTTTCCAACAGAGC-1", "iM.data_CATCCGTGTGTACGCC-1", "iM.data_GTTGAACTCGGCATTA-1", "iM.data_GTCAGCGTCCTAGAGT-1", "iM.data_GGTTGTAGTAGGTAGC-1", "iM.data_GATCACAAGAAAGCGA-1", "iM.data_AGACCCGAGTCGCCAC-1", "iM.data_GTCTGTCGTGATTAGA-1", "iM.data_CCCGGAAGTATGCTAC-1", "iM.data_TGAGGTTGTATCCCTC-1", "iM.data_GCAACCGAGTGAGGTC-1", "iM.data_AAAGAACCAGCGTGAA-1", "iM.data_AATTTCCAGGTTCACT-1", "iM.data_TTGCTGCTCGATTTCT-1", "iM.data_TTGTGGATCTGCGGAC-1", "iM.data_GGCTTGGAGCACTAAA-1", "iM.data_GGGATCCAGTGCACAG-1", "iM.data_CAACAGTCAATCTGCA-1", "iM.data_TCTATCAAGAGTGGCT-1", "iM.data_TCTAACTAGGTGCTAG-1", "iM.data_CATTCTATCCTGTACC-1", "iM.data_AAGCGTTAGGGTGAAA-1", "iM.data_GTTGTAGAGTGAGTGC-1", "iM.data_TGAGTCAGTCGAAACG-1", "iM.data_CAAAGAACATCGTTCC-1", "iM.data_GTATTTCTCGGAGTGA-1", "iM.data_AATCACGGTTCTCCCA-1", "iM.data_CATAGACCAGCATGCC-1", "iM.data_TACCTGCTCATGAGAA-1", "iM.data_CTGCAGGGTGCCTGCA-1", "iM.data_TATTTCGCAAGGACAC-1", "iM.data_TCATTACGTTTCGTTT-1", "iM.data_AGCGTATGTACGTGAG-1", "iM.data_GTCCACTAGTTTGGCT-1", "iM.data_TTACCGCTCGCCGAGT-1", "iM.data_TGCGACGAGGTGCATG-1", "iM.data_TCACATTTCGATGCTA-1", "iM.data_TGTGTGACATGTGGCC-1", "iM.data_TTCCACGGTTAACCTG-1", "iM.data_ACAGAAAAGATGAAGG-1", "iM.data_TCGTAGACACCGAATT-1", "iM.data_TGTGGCGGTTAAACAG-1", "iM.data_TGTTCTAGTTTGTTGG-1", "iM.data_CCTAACCTCGAAGTGG-1", "iM.data_CGGGTGTGTGCACATT-1", "iM.data_CCACAAAAGTAGGCCA-1", "iM.data_AGAGCAGAGACGGTTG-1", "iM.data_GTTACCCCACGGCCAT-1", "iM.data_GTACAACGTGCCGGTT-1", "iM.data_GTCCCATTCGTCGCTT-1", "iM.data_AATCGACCAACCGGAA-1", "iM.data_CCTCTAGCATGAAGCG-1", "iM.data_AGTAGTCTCAGGCGAA-1", "iM.data_GACCCTTCACAACATC-1", "iM.data_AGGATAAAGAGACAAG-1", "iM.data_TTAGTCTGTACTGGGA-1", "iM.data_TCTCACGGTACACGTT-1", "iM.data_GTCATCCGTATAGGGC-1", "iM.data_AGGATCTGTTGGCCGT-1", "iM.data_TCTATCATCCTTCTAA-1", "iM.data_ACACGCGAGTAAACAC-1", "iM.data_TCCACCAGTGGAATGC-1", "iM.data_AACCTTTTCTTGCGCT-1", "iM.data_GTCATCCAGCCGTTGC-1", "iM.data_CGAATTGCAAGTCGTT-1", "iM.data_CGTAATGCACACTTAG-1", "iM.data_TCGCAGGGTCGAGCTC-1", "iM.data_GGGTGTCCAATAGGAT-1", "iM.data_TATCCTATCCGCGGAT-1", "iM.data_TGCGACGTCTATACGG-1", "iM.data_TGTAGACTCGTAACTG-1", "iM.data_GCAACCGGTGCGACAA-1", "iM.data_GTAACACGTCTTCTAT-1", "iM.data_AAAGGTAGTGTGTTTG-1", "iM.data_TCGGATAGTTGCTCGG-1", "iM.data_CACTGAACATCGATGT-1", "iM.data_CATCGCTCAAAGGCGT-1", "iM.data_CATGGATAGCGCCGTT-1", "iM.data_AAAGGTAGTGACCTGC-1", "iM.data_TCCTTTCGTTCAAGGG-1", "iM.data_GGGAGTACAGTCGCTG-1", "iM.data_TCACAAGTCCGGTAAT-1", "iM.data_AAGACTCGTTTAGACC-1", "iM.data_CCTCAACCACTAGAGG-1", "iM.data_AGTCTCCGTAGTCTTG-1", "iM.data_TTGGTTTTCACAAGAA-1", "iM.data_TTGAGTGGTTGCGAAG-1", "iM.data_TAGTGCATCCGTGGTG-1", "iM.data_TGAACGTGTGTATTGC-1", "iM.data_TTTACGTCATCCTTGC-1", "iM.data_TGATTCTAGGTAAACT-1", "iM.data_TGTTCCGGTATAGGGC-1", "iM.data_AACGGGATCTCGCTCA-1", "iM.data_GGAGGATTCCAGTGTA-1", "iM.data_TCGATTTCACTAGGTT-1", "iM.data_TTTCATGCAGTTACCA-1", "iM.data_CCCTAACAGGTTAAAC-1", "iM.data_GCATCTCAGGTCACAG-1", "iM.data_GCCATTCAGGTACTGG-1", "iM.data_CATTCTATCTGGGTCG-1", "iM.data_TTCCTCTCATCGGAGA-1", "iM.data_ACCTGTCGTGGCTTAT-1", "iM.data_AGACCATGTAGCGAGT-1", "iM.data_CTGGCAGGTCCCTCAT-1", "iM.data_TGTCAGATCAGACAAA-1", "iM.data_CATTCCGTCCGATGTA-1", "iM.data_CTTCCGAAGTTCACTG-1", "iM.data_AGTTCGACACCTTCGT-1", "iM.data_GCACGTGAGGTTGAGC-1", "iM.data_ATCGGATCAACTGAAA-1", "iM.data_AGGATCTAGGTTCTTG-1", "iM.data_GGCTTTCGTACCTATG-1", "iM.data_GAATCGTTCATTACGG-1", "iM.data_TGCTCCAAGGACTAAT-1", "iM.data_GCCCGAATCAAGGACG-1", "iM.data_AGGAAATAGAGTTGAT-1", "iM.data_TATTTCGAGAGAAGGT-1", "iM.data_CATTCATGTTTGTGGT-1", "iM.data_TAGGGTTGTACGTACT-1", "iM.data_ATCCGTCGTAGGTAGC-1", "iM.data_CCAATGAAGAAACTAC-1", "iM.data_GGGACTCGTCAAAGTA-1", "iM.data_GTGCAGCGTGATTGGG-1", "iM.data_ACAAGCTTCTCTGCCA-1", "iM.data_ACCTGAATCGAGATGG-1", "iM.data_ATCACTTAGTAGTCCT-1", "iM.data_ATCGCCTAGAGCGACT-1", "iM.data_CTTCTCTCAGTCTGGC-1", "iM.data_CGGGTGTCACGTAGAG-1", "iM.data_GCATCGGGTGCGGTAA-1", "iM.data_TGCAGGCGTAGTCTTG-1", "iM.data_TTCAATCGTAGGCAGT-1", "iM.data_GTAATCGGTTACCTGA-1", "iM.data_GGAAGTGCATAATCGC-1", "iM.data_CTGTAGACACTTCTCG-1", "iM.data_GGGCGTTGTCCTCCAT-1", "iM.data_GTGAGGAAGACCGTTT-1", "iM.data_CTTCAATCAAGACCGA-1", "iM.data_CTTCCTTGTGCCGTTG-1", "iM.data_CTATCCGTCCTGTTAT-1", "iM.data_AGATAGAAGCGATCGA-1", "iM.data_TTCGGTCCATTGCCTC-1", "iM.data_TGAGGGACAACCGTAT-1", "iM.data_CTATCTAGTTCGGTCG-1", "iM.data_GATGACTAGCAGTACG-1", "iM.data_CTGCATCCACCGGCTA-1", "iM.data_AGCTACATCCCTGGTT-1", "iM.data_AGCTTCCTCAACTGGT-1", "iM.data_CGGGACTAGCAATTCC-1", "iM.data_CATAGACGTACGCTTA-1", "iM.data_GTCTAGAGTCGCATCG-1", "iM.data_CTCCAACGTGATTAGA-1", "iM.data_GCGTGCAAGTAGCATA-1", "iM.data_CCCGGAATCCATACAG-1", "iM.data_TGGGTTAGTAGCTAAA-1", "iM.data_ATCACTTGTCGTAATC-1", "iM.data_TGAGGAGAGCGTTCAT-1", "iM.data_TGTGAGTGTCATCCCT-1", "iM.data_TTTGACTCATTCTGTT-1", "iM.data_TCGGGTGCACTTGGGC-1", "iM.data_AACGTCAGTGTGGACA-1", "iM.data_CACTGGGCATGTTTGG-1", "iM.data_GTAGAAAGTATCGTGT-1", "iM.data_CACTTCGAGAAATGGG-1", "iM.data_TGAACGTCAAGTGGAC-1", "iM.data_CCGAACGCAGCAAGAC-1", "iM.data_GGGATGAAGTATGACA-1", "iM.data_CGGGACTGTACGACAG-1", "iM.data_TCATTGTAGCGGGTAT-1", "iM.data_CTTCTAAAGCCTCATA-1", "iM.data_AGGGTGACACGTGTGC-1", "iM.data_GTGCGTGCACCTGATA-1", "iM.data_GTGGCGTCACGGGTAA-1", "iM.data_AGGTCTAGTGGCTCTG-1", "iM.data_TTGCGTCTCCTTCGAC-1", "iM.data_CTCACTGAGCTGTTCA-1", "iM.data_GAGGGTATCCTGGGTG-1", "iM.data_CTTGATTCATGCCGGT-1", "iM.data_CTTCTCTCAACGATCT-1", "iM.data_TCACGCTTCTACGGGC-1", "iM.data_AATGAAGGTCCCTGTT-1", "iM.data_ACATCGATCTGAGGTT-1", "iM.data_CATCCGTTCGGTAACT-1", "iM.data_CGCCATTAGGTATAGT-1", "iM.data_GTGTCCTCAAGGTTGG-1", "iM.data_GATTCTTCACGATAGG-1", "iM.data_GTAGTACGTGGGCTTC-1", "iM.data_GTGAGTTTCGCAGTTA-1", "iM.data_TACAACGAGCTCTATG-1", "iM.data_TTAGGCAGTTGACGGA-1", "iM.data_AGTACCAGTACGCGTC-1", "iM.data_GTAACCAAGTTGAAAC-1", "iM.data_TCCACGTAGGAACGCT-1", "iM.data_TTCTCTCTCCCAGCGA-1", "iM.data_CTGCTCAAGAAGATCT-1", "iM.data_ACATTTCTCTAAGAAG-1", "iM.data_AGTAACCCATGACGGA-1", "iM.data_GATCAGTAGAACTGAT-1", "iM.data_CATGCAACACGGGCTT-1", "iM.data_TCACTCGAGGATCACG-1", "iM.data_TCGCTCAGTGTTGACT-1", "iM.data_TACTTACTCAGGAACG-1", "iM.data_CCGTAGGAGGGCAATC-1", "iM.data_TAGTGCACACTCAGAT-1", "iM.data_GTGTGGCCAGCTGCCA-1", "iM.data_ATAGAGAGTTACCTGA-1", "iM.data_GTATTGGGTTGCATTG-1", "iM.data_CGTGCTTGTGGCATCC-1", "iM.data_GTTTACTCAGGTTACT-1", "iM.data_AACCATGTCGCGCCAA-1", "iM.data_GAACTGTCAATTCTTC-1", "iM.data_TGCAGATAGGTGATAT-1", "iM.data_TATCTTGTCTGTGTGA-1", "iM.data_CGATGCGTCCCACAGG-1", "iM.data_ACTTCCGAGCTCGACC-1", "iM.data_TCAGCAAGTGTCTTCC-1", "iM.data_CCCATTGCATTGGCAT-1", "iM.data_AATAGAGCAGGTACGA-1", "iM.data_TACTTGTAGGCCCGTT-1", "iM.data_ACATGCAAGCAGTAAT-1", "iM.data_AACGGGACACTCACTC-1", "iM.data_CCTCAGTGTGATCGTT-1", "iM.data_GTTACCCAGCGTGCTC-1", "iM.data_TTACAGGCACCAACAT-1", "iM.data_GAGGCCTGTCGAGCTC-1", "iM.data_TGTCAGAAGTTCTACG-1", "iM.data_TTACCATTCGCGTCGA-1", "iM.data_GTGTTCCGTCACTACA-1", "iM.data_TCATTACGTGCAACAG-1", "iM.data_AAGTTCGAGCAAACAT-1", "iM.data_CAGATACTCGTGCACG-1", "iM.data_ATTCACTCATTCGATG-1", "iM.data_TTACGCCGTCGACGCT-1", "iM.data_CTCCTCCGTTTAGTCG-1", "iM.data_TGGGCGTAGGATCATA-1", "iM.data_CCGATCTGTCAAAGAT-1", "iM.data_GAGTCATAGTTTCGGT-1", "iM.data_TGACTCCTCCCACAGG-1", "iM.data_CCATAAGAGGAGGTTC-1", "iM.data_TCATTACTCAGCACCG-1", "iM.data_GATTCGAAGCTGAAAT-1", "iM.data_GATCACAAGGATGCGT-1", "iM.data_GTTGTAGCAACGACAG-1", "iM.data_GGTTAACGTGCAACAG-1", "iM.data_GCAGTTATCCTGCTAC-1", "iM.data_CTAGACAGTATTCCGA-1", "iM.data_TTTGATCCAGGTCCCA-1", "iM.data_CAGATTGTCGGCCTTT-1", "iM.data_CCGGGTAGTCCATACA-1", "iM.data_TGTGATGGTTGCGGAA-1", "iM.data_CATCCGTAGCGCTTCG-1", "iM.data_ATCTTCAAGCTCGCAC-1", "iM.data_AGTACTGTCCCGAGTG-1", "iM.data_GGATCTATCCGATAAC-1", "iM.data_TTCACGCGTAGCGTAG-1", "iM.data_CAGCGTGCAAATGGTA-1", "iM.data_TGTGGCGGTGCCCACA-1", "iM.data_CACATGATCTTTGGAG-1", "iM.data_ACTATCTGTGGGCTCT-1", "iM.data_TGCTGAAAGCACGTCC-1", "iM.data_GAATAGATCCAATCTT-1", "iM.data_AGTTAGCAGGATAATC-1", "iM.data_ACTTATCGTATTTCTC-1", "iM.data_CATCGTCAGACCTGGA-1", "iM.data_GGGCCATCACTTTATC-1", "iM.data_CAGTGCGTCCACACCT-1", "iM.data_TCATTTGGTGAATATG-1", "iM.data_TTGGGATTCTGGGCGT-1", "iM.data_AATCGTGGTAGTCTTG-1", "iM.data_GTAGGAGAGTCATGGG-1", "iM.data_GTGCACGCACTCAGAT-1", "iM.data_TGTTACTAGCCGATTT-1", "iM.data_CTGATCCCAACGGTAG-1", "iM.data_TGCGACGGTGTGTTTG-1", "iM.data_GTCCACTCATCATGAC-1", "iM.data_CTCTGGTTCAATCTTC-1", "iM.data_CACGGGTGTCTGGTTA-1", "iM.data_ATTTCTGAGCATATGA-1", "iM.data_AGAAATGCAGTTTGGT-1", "iM.data_GAACGTTTCTGAGAGG-1", "iM.data_TGTGTGATCAAATGAG-1", "iM.data_TCGGGCAGTAACAGGC-1", "iM.data_CTTCGGTTCTACTGCC-1", "iM.data_TAGAGTCGTCAGTCTA-1", "iM.data_GATCATGAGTGATCGG-1", "iM.data_TCGATTTGTTGCGTAT-1", "iM.data_TCACTCGGTATCACGT-1", "iM.data_TACATTCAGCGTACAG-1", "iM.data_TGAGCATAGAAGCGCT-1", "iM.data_CAGAGCCCAAGACGGT-1", "iM.data_AGGAAATAGCCTGTCG-1", "iM.data_CACTTCGAGAGTTGTA-1", "iM.data_ATTGGGTTCCCTCGTA-1", "iM.data_CACTGAAGTAGGTACG-1", "iM.data_GCGATCGTCTCCCAAC-1", "iM.data_CTCATCGTCTAGCCTC-1", "iM.data_TAGACCATCGGCTTGG-1", "iM.data_TCGTAGATCCTACAAG-1", "iM.data_GTAACCACATATACCG-1", "iM.data_ACGTTCCGTCCCGCAA-1", "iM.data_GAATAGATCACCTCAC-1", "iM.data_CTAGGTACAAGAATGT-1", "iM.data_CCTCCAAGTGTGACCC-1", "iM.data_GATGAGGTCTCCGTGT-1", "iM.data_CCACTTGGTCGGTACC-1", "iM.data_TCATGGAGTGAGCCAA-1", "iM.data_GTCACGGGTGGAAGTC-1", "iM.data_AGCATCATCTTACCAT-1", "iM.data_CAGTTAGTCGTTATCT-1", "iM.data_CCGTAGGCACAGTGAG-1", "iM.data_CCACCATGTAAGTTGA-1", "iM.data_TCATGGAGTGCTGATT-1", "iM.data_CTAACTTTCAGGAAAT-1", "iM.data_CAGCAGCTCTCTGACC-1", "iM.data_TCAAGACTCTGCACCT-1", "iM.data_CCTCTAGGTTGGGACA-1", "iM.data_AATGCCAGTATCACCA-1", "iM.data_TTCCGGTGTGAATAAC-1", "iM.data_TGTTCTAAGTGAGTGC-1", "iM.data_TCACGGGAGTCCTACA-1", "iM.data_GATTGGTAGGTAGATT-1", "iM.data_AGACAAAGTCAAGGCA-1", "iM.data_AATGGAAAGATTAGCA-1", "iM.data_TTCTTCCGTGGTAACG-1", "iM.data_GTAACACTCTGTGCTC-1", "iM.data_GAGTGAGTCTCGTGAA-1", "iM.data_ATTTCTGTCTAGGAAA-1", "iM.data_AGTGACTGTGCGACAA-1", "iM.data_GGTAATCGTTGTGTAC-1", "iM.data_CGTGTCTAGCTTCGTA-1", "iM.data_TTGAGTGGTGCACGCT-1", "iM.data_TGGTTAGAGCTTTCCC-1", "iM.data_CCGTGAGCAACGTATC-1", "iM.data_CTCAAGATCCCATTCG-1", "iM.data_CGGGTGTTCGAGCACC-1", "iM.data_TTCCACGGTCGTCATA-1", "iM.data_TGTGATGGTCTTTATC-1", "iM.data_TCGGGTGTCAATGCAC-1", "iM.data_GCCCAGAAGACTACCT-1", "iM.data_ATTTCTGAGATCGCTT-1", "iM.data_AAGACAAAGCGACCCT-1", "iM.data_CTGCTCATCTCAGGCG-1", "iM.data_ATCGCCTCAGGGCTTC-1", "iM.data_GGGTTTAGTATGAAAC-1", "iM.data_TCCCACATCACTCACC-1", "iM.data_GATAGCTAGGATAATC-1", "iM.data_GGTCTGGGTAACGATA-1", "iM.data_TTCCACGGTAATCAGA-1", "iM.data_AGAACAAGTACACGCC-1", "iM.data_AACAACCGTATATGGA-1", "iM.data_CGAGTTACAAGTACCT-1", "iM.data_AGCCACGGTACCATAC-1", "iM.data_GAATCGTGTGGCATCC-1", "iM.data_TGGTGATCACAGAGAC-1", "iM.data_TCTACCGGTAAGCAAT-1", "iM.data_AGGACGAAGTTTCGGT-1", "iM.data_CTTTCAAGTAAGCGGT-1", "iM.data_GTGTTCCCAGCTCATA-1", "iM.data_CATGAGTGTGAGCGAT-1", "iM.data_GGTTGTAAGATCCCGC-1", "iM.data_TGTTACTGTACCATAC-1", "iM.data_ACGTTCCAGGTGCTGA-1", "iM.data_GACTCTCGTGCCTATA-1", "iM.data_GCTTTCGCAAATTAGG-1", "iM.data_TTCTGTAAGCCGTTGC-1", "iM.data_GATCAGTCAAACGAGC-1", "iM.data_GATTGGTCACGTCGGT-1", "iM.data_GGCTTTCGTAAGTTGA-1", "iM.data_CGTTCTGCAGGCATTT-1", "iM.data_AAGACAAGTGCCGTTG-1", "iM.data_GCTTTCGGTTATCCAG-1", "iM.data_AACCATGGTAGTCTTG-1", "iM.data_GGAAGTGGTCCGTACG-1", "iM.data_TATCTGTAGCTCTTCC-1", "iM.data_CGCATAAGTGGGTCAA-1", "iM.data_TAGAGTCAGGACATCG-1", "iM.data_AATTCCTAGTTGCGAG-1", "iM.data_CTCATGCAGCCACCGT-1", "iM.data_CCCAACTTCGTAACCA-1", "iM.data_TGACAGTAGGCCTAGA-1", "iM.data_ATGCGATAGGCCTTCG-1", "iM.data_ACGGGTCTCGCTGACG-1", "iM.data_TCGAAGTGTATAGGAT-1", "iM.data_TTCTAGTAGATGTAGT-1", "iM.data_TCACTATAGTGACACG-1", "iM.data_GCTTGGGAGAAAGCGA-1", "iM.data_TAACCAGAGCTCTGTA-1", "iM.data_GAGCTGCAGTGGGAAA-1", "iM.data_TGGGCGTGTATCACGT-1", "iM.data_CCTCCAACATCTAACG-1", "iM.data_TCCTTCTAGCCTATTG-1", "iM.data_CCACGTTCATACTGAC-1", "iM.data_TGGAGAGTCCTTCTGG-1", "iM.data_TTGAACGAGACTCCGC-1", "iM.data_GGCAGTCTCTAGTGTG-1", "iM.data_TCATGCCAGAAATCCA-1", "iM.data_CTCAACCGTGTACATC-1", "iM.data_CATTCTATCGACCAAT-1", "iM.data_GAGTTGTTCATACGAC-1", "iM.data_TTTGTTGTCCTACGAA-1", "iM.data_GGGACTCGTTACTCAG-1", "iM.data_AACACACAGTGCGACA-1", "iM.data_TGATCAGGTATTTCTC-1", "iM.data_GAGTTGTCACACCTTC-1", "iM.data_CACTGAACAGGCGTTC-1", "iM.data_GAGTCTAGTACCGTCG-1", "iM.data_ATCACGAAGACGTCGA-1", "iM.data_GTCACGGGTCACCGCA-1", "iM.data_CATACAGTCCTTCACG-1", "iM.data_TATTGGGTCTGCGAGC-1", "iM.data_GATTTCTGTTGACGGA-1", "iM.data_ATTCATCGTAGCGTAG-1", "iM.data_CTTCAATAGACTCAAA-1", "iM.data_CTATCCGGTACTGCGC-1", "iM.data_AACCAACAGACTACGG-1", "iM.data_CGAGTTAAGCCGTAAG-1", "iM.data_ACAAAGAGTATTCCGA-1", "iM.data_TCCATCGGTCGGTGTC-1", "iM.data_CGTCCATTCCATTCAT-1", "iM.data_GTCGTAAAGGAGATAG-1", "iM.data_GAAACCTGTTCAGCTA-1", "iM.data_TGAGGGATCTTTCCGG-1", "iM.data_AGAGCAGTCCTCGCAT-1", "iM.data_ATCTTCATCAGACAAA-1", "iM.data_AAGTGAAAGAGCCATG-1", "iM.data_TCGATTTAGCACCGTC-1", "iM.data_GTGTGGCAGATACCAA-1", "iM.data_TGTCAGACATTGACTG-1", "iM.data_GGGACTCAGTGCCAGA-1", "iM.data_GATCATGAGATTGACA-1", "iM.data_AGAGCCCAGGCTGTAG-1", "iM.data_ACCAAACTCTACGGTA-1", "iM.data_GTAGAGGCAATCCAGT-1", "iM.data_GACTCTCGTGACTGAG-1", "iM.data_CACCGTTGTAACCAGG-1", "iM.data_CATGGATAGTACTGGG-1", "iM.data_AGGAAATAGAAGTCCG-1", "iM.data_GTGGAGACAAAGCTCT-1", "iM.data_AGGGTCCTCCGGACGT-1", "iM.data_CCTGTTGCAAGGATGC-1", "iM.data_CAGCCAGCAGATTAAG-1", "iM.data_CGATGGCTCCCTCGAT-1", "iM.data_CACGTGGCACGTAGAG-1", "iM.data_TGAGTCAGTTCTCCCA-1", "iM.data_GTGGGAAGTCAGGCAA-1", "iM.data_TGTGCGGAGCGGGTAT-1", "iM.data_CTGTGAATCGCTCCTA-1", "iM.data_AAGCATCGTAGCACAG-1", "iM.data_GTCGTAACAGAGACTG-1", "iM.data_TTCTTGATCTGGAAGG-1", "iM.data_ATCGGCGGTGATGTAA-1", "iM.data_TGCAGATGTGTAGTGG-1", "iM.data_AATGAAGGTGCCTATA-1", "iM.data_TCGATTTCAAAGACTA-1", "iM.data_TTGTGGACAAAGCGTG-1", "iM.data_ATTACTCGTAGATTAG-1", "iM.data_AAAGGTATCCATTTCA-1", "iM.data_TTTGTTGCATAGACTC-1", "iM.data_ATGTCCCGTTCGGTAT-1", "iM.data_GTCCCATTCCAAATGC-1", "iM.data_GACGTTAAGCTGCGAA-1", "iM.data_GGACGTCAGTCAGCGA-1", "iM.data_CACACAAGTGATCGTT-1", "iM.data_AATGGCTCAGTAGAGC-1", "iM.data_TTCTTCCTCGCCTAGG-1", "iM.data_TCGCAGGTCAACTCTT-1", "iM.data_AAGCGTTTCAACTACG-1", "iM.data_TCGGATACATTGACTG-1", "iM.data_CTCCGATCAGGCAATG-1", "iM.data_ACTTTGTGTACGCTAT-1", "iM.data_GTTGCGGGTGTACAGG-1", "iM.data_CTTCAATCATAGATCC-1", "iM.data_ACTACGAAGGTTCATC-1", "iM.data_GGGATGAAGACGGAAA-1", "iM.data_CCCGAAGCAACTCATG-1", "iM.data_ATAGACCAGGGCAGTT-1", "iM.data_AGGCCACAGGACCCAA-1", "iM.data_CACCAAACACGACGAA-1", "iM.data_GAGTGAGTCTCTCGCA-1", "iM.data_TACAACGTCAGGACGA-1", "iM.data_TACTTCAAGAGTGGCT-1", "iM.data_CGTCCATCATGGGCAA-1", "iM.data_CGGGCATAGAGTCCGA-1", "iM.data_GTAGAGGCAAAGGATT-1", "iM.data_CACCAAATCGTGTCAA-1", "iM.data_GTGCACGAGCGCGTTC-1", "iM.data_GCGTTTCAGTGACCTT-1", "iM.data_GGAATGGTCAGAGTGG-1", "iM.data_GCTTCACGTGAGCAGT-1", "iM.data_GGGCGTTTCGGCTTCT-1", "iM.data_AGGTCATTCCTATGGA-1", "iM.data_TCCTTTCTCCCTCTAG-1", "iM.data_CCTCAGTAGGATCATA-1", "iM.data_GTGTTAGTCACTACGA-1", "iM.data_TGAGCGCGTTGAGAGC-1", "iM.data_AATTCCTTCTAAGGAA-1", "iM.data_ATGGAGGGTCAACACT-1", "iM.data_ATCCATTAGGATTCCT-1", "iM.data_GATTCTTGTTGGGAAC-1", "iM.data_CCGGTAGCACTACCCT-1", "iM.data_CGGGTCACACCCTCTA-1", "iM.data_TCCGTGTCAAGCACCC-1", "iM.data_GTCACGGGTCCTGGTG-1", "iM.data_CGGAGAAGTGCTCTCT-1", "iM.data_TGCGATATCTCTATAC-1", "iM.data_GAGGGATTCTGAGCAT-1", "iM.data_TCGATTTCAAACCATC-1", "iM.data_TTCCTCTCACACAGAG-1", "iM.data_CGAGTGCGTACGTAGG-1", "iM.data_TCTTTGAGTTGCCTAA-1", "iM.data_CCCGAAGTCCACGAAT-1", "iM.data_AGGACTTAGTCTGGTT-1", "iM.data_GGCTTGGGTCGTGTTA-1", "iM.data_ATTGGGTGTCATTGCA-1", "iM.data_GTGGGAAGTTGGGACA-1", "iM.data_ATGAAAGCATATCTGG-1", "iM.data_AGGAGGTTCCATGAGT-1", "iM.data_CATCAAGTCTTAGGAC-1", "iM.data_GCGGATCAGCGGTAGT-1", "iM.data_AATGAAGCACGACTAT-1", "iM.data_GATTGGTGTGCTATTG-1", "iM.data_GGACGTCTCGCCTATC-1", "iM.data_TCTATCATCATCACTT-1", "iM.data_TTTCGATAGAGCTGCA-1", "iM.data_AAGACAACAACTGTGT-1", "iM.data_TGTCCACCACGTTGGC-1", "iM.data_AGCCAATTCGCTTGAA-1", "iM.data_CGTCCATAGCGGGTTA-1", "iM.data_AGCTACAAGCATCTTG-1", "iM.data_GGAGATGCAAGTGGAC-1", "iM.data_GCACATATCGATACAC-1", "iM.data_GCGTGCAGTACTTGTG-1", "iM.data_GGAGGTACAGACGATG-1", "iM.data_TTGGGATCAAGCTGCC-1", "iM.data_GTTCATTAGCTTAGTC-1", "iM.data_AAGGAATAGAGGGTAA-1", "iM.data_GCGAGAAGTCTTGCTC-1", "iM.data_GGGACTCCAGTCGCTG-1", "iM.data_GTTAGTGTCCGATTAG-1", "iM.data_CTGCAGGCAGCATGCC-1", "iM.data_CACGAATGTAGTCGGA-1", "iM.data_ATACCGATCAAATGAG-1", "iM.data_TACCTGCTCTTTGCAT-1", "iM.data_CTCCTCCTCAGGCGAA-1", "iM.data_AGAAGCGTCATGGAGG-1", "iM.data_CCAAGCGCAGCAGTTT-1", "iM.data_CTACAGAGTCTTAGTG-1", "iM.data_TTTCCTCCACTCAAGT-1", "iM.data_TTGCATTAGTCGTCTA-1", "iM.data_TGAGGAGTCAGAGTGG-1", "iM.data_ATCAGGTTCATTCACT-1", "iM.data_ACTTTGTAGGCAATGC-1", "iM.data_TCCGTGTTCGTTAGAC-1", "iM.data_ACCTGAACAAATTAGG-1", "iM.data_ACTTATCGTTAATCGC-1", "iM.data_GCTTTCGGTTAAGAAC-1", "iM.data_CGGGTCATCTACGCAA-1", "iM.data_TAATCTCAGCTCCACG-1", "iM.data_AGAAGCGAGTGCCTCG-1", "iM.data_GTGCGTGTCTTACACT-1", "iM.data_AGTCTCCGTGGACAGT-1", "iM.data_CACAGGCGTGGTGATG-1", "iM.data_TGGATCATCGTCACCT-1", "iM.data_GCTGCAGCATGCCGAC-1", "iM.data_ACATCGATCATGCTAG-1", "iM.data_GTCGAATCAACGGTAG-1", "iM.data_ACTATTCCAAAGAACT-1", "iM.data_ATGGTTGGTTCCGGTG-1", "iM.data_TCCATCGCAGCGACAA-1", "iM.data_CTTCCTTAGGTTCTTG-1", "iM.data_GTCATGACAAGTCATC-1", "iM.data_TCTTCCTGTTAGGAGC-1", "iM.data_TGGGATTCAAAGTGTA-1", "iM.data_GTAGAGGGTTTCCATT-1", "iM.data_GCTTGGGGTCCTGGTG-1", "iM.data_GCAACCGAGGATACCG-1", "iM.data_GAGTTACAGATAGCAT-1", "iM.data_ACTGTGAGTCATAGTC-1", "iM.data_ATGAAAGAGGCAGTCA-1", "iM.data_TGTCCCAGTCGGTGAA-1", "iM.data_TAAGCCACATACATCG-1", "iM.data_GGGTTTAAGGAGGGTG-1", "iM.data_CATTCTATCTTAGTTC-1", "iM.data_CTGTGAATCGTGGACC-1", "iM.data_CTGTGAAAGACTAGAT-1", "iM.data_CGTGATAGTGCGAACA-1", "iM.data_AAATGGAGTAGATTAG-1", "iM.data_GACCGTGAGTACCATC-1", "iM.data_AAGCGAGAGGTCACAG-1", "iM.data_CTCCCAATCGCTCTAC-1", "iM.data_TTGTTTGGTAGAGTTA-1", "iM.data_AGGCCACGTTCCCAAA-1", "iM.data_CGGGTGTAGAGGTTAT-1", "iM.data_GTGTGATGTCTACAAC-1", "iM.data_GTTCATTAGGGCAGAG-1", "iM.data_GTCATGAAGGCCTGCT-1", "iM.data_CTGCATCTCAAAGGTA-1", "iM.data_GTCGAATTCTGCTGAA-1", "iM.data_GTCTGTCCAAGAAACT-1", "iM.data_TGGGCGTAGACGTCCC-1", "iM.data_GTACAACTCCCAAGTA-1", "iM.data_TGTTCATGTCGCAGTC-1", "iM.data_TTTGATCCAAAGGAGA-1", "iM.data_CCCTAACCAGAGGGTT-1", "iM.data_GAACTGTGTGATGAAT-1", "iM.data_AGCTACACACAGGATG-1", "iM.data_GTTATGGCAACAAGAT-1", "iM.data_GCACTAAGTCTTCCGT-1", "iM.data_TCCGTGTCAACCGCTG-1", "iM.data_CTGTGGGGTAGTATAG-1", "iM.data_AAGCATCCATAATGAG-1", "iM.data_TCCAGAACACGCGTGT-1", "iM.data_CGGGTCAGTGTCATGT-1", "iM.data_AGTAGCTAGTAGCATA-1", "iM.data_CATAGACAGTACCGGA-1", "iM.data_CCTCCAACAATCACGT-1", "iM.data_TGAACGTTCTGAATGC-1", "iM.data_CAACAACAGGTAGGCT-1", "iM.data_GTTAGTGAGGCTAACG-1", "iM.data_AGAAGTATCGTGTTCC-1", "iM.data_TAGTGCACATCCAATG-1", "iM.data_GGCTGTGTCCATTTAC-1", "iM.data_AATGGAATCCACTTCG-1", "iM.data_TACAACGGTATCGCTA-1", "iM.data_CCTTCAGTCTGGGATT-1", "iM.data_AACACACGTCTAGTGT-1", "iM.data_TATCCTATCCCGTGAG-1", "iM.data_ACTTTGTAGTTCTCTT-1", "iM.data_AAGCATCTCCGACAGC-1", "iM.data_TAGCACATCCAGCTCT-1", "iM.data_TCTGGCTAGACTTGTC-1", "iM.data_CACTGGGAGTCTCTGA-1", "iM.data_ACGATGTAGCATGTTC-1", "iM.data_CGATGGCAGTGTTGTC-1", "iM.data_ATCGGATGTAACATAG-1", "iM.data_CTGTACCCACGCTGCA-1", "iM.data_GTCTGTCGTCAACCTA-1", "iM.data_CCACGAGGTAGCTGAG-1", "iM.data_TCACGGGTCGTACACA-1", "iM.data_AGTCACACAAACTCTG-1", "iM.data_TCTAACTTCTCATAGG-1", "iM.data_AGGGTCCAGAGAGTGA-1", "iM.data_TGAATGCGTCTGTAGT-1", "iM.data_TGGATCACAACGAGGT-1", "iM.data_AACGGGACAGCAGGAT-1", "iM.data_TTCATGTGTAGTAAGT-1", "iM.data_CAGATACTCGAGTACT-1", "iM.data_TGGTACAGTACTAGCT-1", "iM.data_AGATGCTGTTATGGTC-1", "iM.data_TGAGCATCAGGCATGA-1", "iM.data_CCCGAAGGTAGTGGCA-1", "iM.data_AACAAGAAGATCCCGC-1", "iM.data_CGATGGCTCTTCTGTA-1", "iM.data_TTTGGAGCATTCACCC-1", "iM.data_AGGGTGAAGGTGATCG-1", "iM.data_TTACGTTTCGTGCTCT-1", "iM.data_CGATGGCGTCCGGATC-1", "iM.data_CTTAGGAGTTGACGGA-1", "iM.data_GCGGATCAGGGCCTCT-1", "iM.data_CAACAGTTCTTGAGCA-1", "iM.data_CTATCTAGTGGCAACA-1", "iM.data_ACAGCCGTCATGCCGG-1", "iM.data_TCATTACTCAAGCCGC-1", "iM.data_AAAGGGCGTGTCGATT-1", "iM.data_GAGTTGTCACATACTG-1", "iM.data_CCTAAGACAATCGAAA-1", "iM.data_ATAGACCAGAGTGTTA-1", "iM.data_GCACGGTCAGTAACCT-1", "iM.data_GAATCGTCAGTTTCAG-1", "iM.data_CATTCTAAGTCATCCA-1", "iM.data_AGTGATCAGCCTTGAT-1", "iM.data_ATTCAGGTCCTTCGAC-1", "iM.data_ATCCGTCTCAACTGAC-1", "iM.data_TGCAGATCATCGTGCG-1", "iM.data_ACATCCCGTGCGTTTA-1", "iM.data_AATGGAAAGCGTTGTT-1", "iM.data_ATTCCTATCGTGTCAA-1", "iM.data_GTGACGCAGACATAAC-1", "iM.data_TCGGGCAAGACGGAAA-1", "iM.data_TTGGTTTTCTAGGAAA-1", "iM.data_ACAACCAAGTAACAGT-1", "iM.data_ATAGAGAGTCCAGCAC-1", "iM.data_AACCTGATCACCGACG-1", "iM.data_CATCGGGTCAACTACG-1", "iM.data_GCATGATCAATAACGA-1", "iM.data_AACAGGGAGATTCGAA-1", "iM.data_CCGTTCATCGTAGCTA-1", "iM.data_GAGAAATTCTCAGAAC-1", "iM.data_GAGATGGTCCTGGGTG-1", "iM.data_TATTGGGTCATCAGTG-1", "iM.data_CTCAATTCAACTTCTT-1", "iM.data_GGGTTATTCCCAACTC-1", "iM.data_TTCGGTCGTCCCACGA-1", "iM.data_CTCAATTCACAAATAG-1", "iM.data_GAGTCTAAGCGAATGC-1", "iM.data_CTGCTCACACGTCTCT-1", "iM.data_CTCATTATCGAGCACC-1", "iM.data_AAGCCATGTGGATGAC-1", "iM.data_TATTCCAGTCTACGAT-1", "iM.data_GACATCAAGGCTCTCG-1", "iM.data_ACTTAGGGTATTTCCT-1", "iM.data_TTCAATCGTCTCGGAC-1", "iM.data_CATGGTATCATGCAGT-1", "iM.data_TGTGTGATCTCATTAC-1", "iM.data_AGCGCCACAGTTAGAA-1", "iM.data_TCTCCGATCTGAATCG-1", "iM.data_GCGAGAAAGCACAAAT-1", "iM.data_GAGGCAAGTAATCAAG-1", "iM.data_GGTGTCGGTTTCGTGA-1", "iM.data_TCCCACAGTCGATTTG-1", "iM.data_AAAGTGACATCCGAAT-1", "iM.data_GGGCTACTCAAGTCTG-1", "iM.data_GTACAGTGTGGCTGAA-1", "iM.data_CTATCTATCTGGCCGA-1", "iM.data_GTTTGGATCTTGCGCT-1", "iM.data_CCACCATCAAATTGCC-1", "iM.data_AGGGTCCAGCCTTTGA-1", "iM.data_TCGTGGGTCAGAATAG-1", "iM.data_CCGTGAGTCTGCCTGT-1", "iM.data_ACTGCAAGTGGTCCCA-1", "iM.data_AGCCAATCAGTAGATA-1", "iM.data_CAATTTCTCGATTGGT-1", "iM.data_AGTCACACAGCTACTA-1", "iM.data_TTCCGGTGTATGGTAA-1", "iM.data_TGCGGCACATCATTTC-1", "iM.data_ACAACCATCGGATAAA-1", "iM.data_ATAGACCCAGGTCAAG-1", "iM.data_CTGCGAGCACCTGCGA-1", "iM.data_ATGGGTTCAAAGTGTA-1", "iM.data_TACGTCCAGATGGCAC-1", "iM.data_CGAAGTTAGTAAACGT-1", "iM.data_TTCTCTCTCTGCGTCT-1", "iM.data_TCATTCAGTCGCTTAA-1", "iM.data_CCACGTTGTTGGTAGG-1", "iM.data_TGCACGGGTTCAACGT-1", "iM.data_TGCACGGTCGCAATTG-1", "iM.data_TAGAGTCGTCATCGCG-1", "iM.data_ACGTCCTGTGCATCTA-1", "iM.data_GATTCTTTCGTGGCGT-1", "iM.data_AGCTCAAGTCGCTTGG-1", "iM.data_GAGTTGTGTGGAGGTT-1", "iM.data_TCGGTCTCAGCACCCA-1", "iM.data_AGAACAAAGGCATCGA-1", "iM.data_CCTCCAAGTACTTCCC-1", "iM.data_GAGAGGTGTCTGTCCT-1", "iM.data_TCGTCCAGTATGTGTC-1", "iM.data_GTCATCCAGTCATCGT-1", "iM.data_TTTACGTCATGAATCC-1", "iM.data_AAAGTGACACACCAGC-1", "iM.data_TACTTACAGCCGCTTG-1", "iM.data_TTTGTTGTCTTGATTC-1", "iM.data_GCACGGTAGGCATCTT-1", "iM.data_GTCGAATAGTAGACAT-1", "iM.data_CGTGAATTCAGTCACA-1", "iM.data_AAAGAACAGCGGGTAT-1", "iM.data_TCATGCCCACTGTGAT-1", "iM.data_CATTTCACATACTTTC-1", "iM.data_ATGAAAGCACTTACAG-1", "iM.data_ACCATTTGTTAATGAG-1", "iM.data_AGCATCAAGAATAGTC-1", "iM.data_ACAGAAAAGTCACGCC-1", "iM.data_TTTCAGTGTCTTAGTG-1", "iM.data_TAAGCGTCACATACGT-1", "iM.data_CGTAATGTCATCCTAT-1", "iM.data_TGCTTCGAGCACTCGC-1", "iM.data_AAACGAATCCTGCCAT-1", "iM.data_TGCGACGCACACGTGC-1", "iM.data_GATAGAACATTCTCTA-1", "iM.data_TACAACGTCGATGCTA-1", "iM.data_CAATTTCCAGACACAG-1", "iM.data_CAAGCTAGTATCAGGG-1", "iM.data_TCCAGAAAGTAGGTTA-1", "iM.data_TCATGAGGTAGCGTCC-1", "iM.data_AGTTCGAGTTGCGGCT-1", "iM.data_TGCGGGTGTACGGTTT-1", "iM.data_CTCAGTCGTTAGAAAC-1", "iM.data_CTGGACGGTCGTCGGT-1", "iM.data_CCCTTAGTCGAACCTA-1", "iM.data_TACAGGTGTCGAGATG-1", "iM.data_TCACATTTCTGATTCT-1", "iM.data_CACTGTCTCGGAACTT-1", "iM.data_TCAGGTATCAATCGGT-1", "iM.data_CATTGTTGTGCCCACA-1", "iM.data_AGCCAATAGAGTCCGA-1", "iM.data_TAAGCACCATTGTACG-1", "iM.data_TCTAACTAGGCCCACT-1", "iM.data_AAGTGAAAGGCACGAT-1", "iM.data_GTCTAGAAGGCTCAAG-1", "iM.data_TCTTCCTCAAGACGGT-1", "iM.data_CCCGGAACAACAAGAT-1", "iM.data_GCGGAAAAGAAAGCGA-1", "iM.data_TCATACTTCCCATGGG-1", "iM.data_TGTCCACTCTACTTCA-1", "iM.data_GACTCTCAGCCGATAG-1", "iM.data_TGCTCGTCAATTGGTC-1", "iM.data_GTACAGTGTTGCGAAG-1", "iM.data_AGCCAATCACTTGGCG-1", "iM.data_CAAGACTGTCTGTGTA-1", "iM.data_ACTTCGCTCCTAGCCT-1", "iM.data_TGATTCTTCGGCTATA-1", "iM.data_TCTTTGACAACGAGGT-1", "iM.data_ACCTACCTCGCTGACG-1", "iM.data_TTTCACACATAATGAG-1", "iM.data_GGTCACGGTGCCTTCT-1", "iM.data_GGTTAACTCAAGAGGC-1", "iM.data_TCATGTTCAAGAAATC-1", "iM.data_CTCATTACACTTGAAC-1", "iM.data_TCGGATATCCCTTTGG-1", "iM.data_TCAGCAAGTCAGTCCG-1", "iM.data_CGGCAGTCACTGAGGA-1", "iM.data_GACCCTTCACAACCGC-1", "iM.data_GGAGCAATCCATTGGA-1", "iM.data_TACCTCGGTCTGTGTA-1", "iM.data_AACAACCTCTGTGTGA-1", "iM.data_TCCTTTCTCGAGTCTA-1", "iM.data_TAATCTCTCCACAGGC-1", "iM.data_TGCGATATCCTCTCGA-1", "iM.data_AAGTCGTCATTCAGCA-1", "iM.data_AGTAGCTGTATTTCCT-1", "iM.data_TGTAACGGTCATTCCC-1", "iM.data_GAATCGTTCCTCTAAT-1", "iM.data_CACAACATCTTAGCTT-1", "iM.data_CTAACCCCACGACGAA-1", "iM.data_AGAGAGCCATACAGGG-1", "iM.data_TGCTTGCTCCCAAGTA-1", "iM.data_GATTCTTTCACCTTGC-1", "iM.data_GCACGGTCACCTTCGT-1", "iM.data_TTGAACGGTGCACGCT-1", "iM.data_TGAATGCAGCTCCCTT-1", "iM.data_TTGATGGCAGCACGAA-1", "iM.data_GACAGCCCACTGATTG-1", "iM.data_TTAGGCATCCATTGGA-1", "iM.data_CACTGAAGTATCATGC-1", "iM.data_CGATCGGAGTATGATG-1", "iM.data_TGATTTCGTTTGGCTA-1", "iM.data_ACTATGGAGCCACCGT-1", "iM.data_CACTGGGAGCCTGTGC-1", "iM.data_CCCGGAAAGCACCGAA-1", "iM.data_ACCTGTCTCGTGTGAT-1", "iM.data_AGGTGTTAGACCATAA-1", "iM.data_GCCAACGCAGTGACCC-1", "iM.data_AGGATAACAGGTTTAC-1", "iM.data_CGGACACTCCCATTTA-1", "iM.data_GTAGTACAGGGTCACA-1", "iM.data_CCTTCAGTCGCAATGT-1", "iM.data_CAATCGAAGGTACAGC-1", "iM.data_AACGTCAAGTCATCGT-1", "iM.data_GGTGTCGTCAACTGGT-1", "iM.data_ATCACAGGTGGCCTCA-1", "iM.data_ATTTCTGCAGCAGTCC-1", "iM.data_CAGTGCGCACCAGCCA-1", "iM.data_CTTGATTTCTAGACAC-1", "iM.data_TGAGTCACAAGTGGGT-1", "iM.data_TTTCGATAGTCATAGA-1", "iM.data_TCAAGCACACCTTCGT-1", "iM.data_TACTTACGTGCACATT-1", "iM.data_TTACCGCCAGTGAGCA-1", "iM.data_GGTAGAGTCCCGTGTT-1", "iM.data_TCGACCTCATTAGGAA-1", "iM.data_AAACGCTCAAATTAGG-1", "iM.data_AACGTCAAGACAACTA-1", "iM.data_GGGAGATGTTTAGAGA-1", "iM.data_ACACCAAGTCATCTAG-1", "iM.data_AGCGTATAGAGTCTGG-1", "iM.data_GTTGCTCTCTATTGTC-1", "iM.data_TCCTAATCAATTCTCT-1", "iM.data_AGATGCTGTCTGTCCT-1", "iM.data_CCGGACAGTCCACACG-1", "iM.data_GGTAATCCAGGAAGTC-1", "iM.data_GTTTGGAAGCATGCGA-1", "iM.data_GTTGAACAGGCACAAC-1", "iM.data_TCGTCCAGTACTCGCG-1", "iM.data_AAATGGATCGCTCTAC-1", "iM.data_CACTGAAAGCTCATAC-1", "iM.data_GAAATGATCAGGTGTT-1", "iM.data_CCTCAACGTAGTCCTA-1", "iM.data_TGTGAGTAGTCGCTAT-1", "iM.data_TATCTGTCAAGCCCAC-1", "iM.data_GTGGCGTCAGCAAGAC-1", "iM.data_TCGGGTGAGCGACTTT-1", "iM.data_GTAAGTCAGTTGTAGA-1", "iM.data_AGAGCAGTCTGCGATA-1", "iM.data_CTTCTAAAGGTCTGGA-1", "iM.data_AACCTTTGTTATCTTC-1", "iM.data_AACACACAGCGTTCCG-1", "iM.data_ACTGATGAGGTCTGGA-1", "iM.data_TACCTGCGTGCATGAG-1", "iM.data_GGTGAAGTCGGAGTAG-1", "iM.data_CTACTATTCCTTATAC-1", "iM.data_GGGCTACGTCTCGGAC-1", "iM.data_AGGAATAGTCTGTCAA-1", "iM.data_CTCCCTCTCTCCCTAG-1", "iM.data_GAGGCCTAGCTAAGTA-1", "iM.data_AGACCCGAGCGCCCAT-1", "iM.data_AGAACAACATGACGGA-1", "iM.data_GGGCCATGTCGTATTG-1", "iM.data_GGGACTCTCCGTGGGT-1", "iM.data_TCTGGCTTCAACGTGT-1", "iM.data_TAGGGTTCACAGACGA-1", "iM.data_TAACACGGTGATACTC-1", "iM.data_CCTCAGTGTCACAATC-1", "iM.data_TCGGGACGTTACCTTT-1", "iM.data_TTCAGGACACTATCGA-1", "iM.data_AATCGTGGTGCATGAG-1", "iM.data_CGCCATTTCTGCCTGT-1", "iM.data_TGCACGGTCCGTGACG-1", "iM.data_ATTGGGTCAGAGCTAG-1", "iM.data_GGTGGCTTCCCTATTA-1", "iM.data_AGGTCTAGTGCTCTCT-1", "iM.data_GACGCTGTCGTCTAAG-1", "iM.data_TGGATGTCACGTACTA-1", "iM.data_AGCGTATAGTCGAAAT-1", "iM.data_ATTGGGTAGCTTAGTC-1", "iM.data_AGTCAACGTCCAAAGG-1", "iM.data_ATGAAAGGTTGGGTTT-1", "iM.data_TGACTCCAGGCAGGTT-1", "iM.data_CTCAAGATCTTACGTT-1", "iM.data_AGATGCTGTTAGGGTG-1", "iM.data_ATCGCCTAGCCATGCC-1", "iM.data_CAGCCAGCAAGCAATA-1", "iM.data_ACAGGGACAGCTGTCG-1", "iM.data_GCGAGAACAGTCGCAC-1", "iM.data_TCAAGCACAACAAGAT-1", "iM.data_CCGTTCACAAACCACT-1", "iM.data_TGGAGAGGTTAAGACA-1", "iM.data_TTTACCACACGACCTG-1", "iM.data_CAACCAAGTCCCGGTA-1", "iM.data_TTTGGAGAGTCCTGTA-1", "iM.data_CCCTGATCAAGTGCTT-1", "iM.data_AAAGGATTCATCACTT-1", "iM.data_ACGTCCTCACGTGTGC-1", "iM.data_GTCACGGGTATTAAGG-1", "iM.data_CAACCTCGTTTCTTAC-1", "iM.data_ATGATCGCAGTGGCTC-1", "iM.data_ATTCTTGGTCGCTTAA-1", "iM.data_CGAAGTTGTCGCCACA-1", "iM.data_AAATGGACAGTGTACT-1", "iM.data_TGATTTCGTCGGTAAG-1", "iM.data_CAGCACGTCTTCTTCC-1", "iM.data_CGTTAGACAAGCTCTA-1", "iM.data_TTCAGGAGTGCTAGCC-1", "iM.data_TCATCCGCATCGATGT-1", "iM.data_CCGGTGATCGAGATGG-1", "iM.data_AAAGGGCAGGTTACAA-1", "iM.data_TCATGGAGTTAATCGC-1", "iM.data_AAATGGATCATGCTAG-1", "iM.data_GTACAGTCAACTGCTA-1", "iM.data_TGCATCCGTGGGTCAA-1", "iM.data_CTACTATCAACGATTC-1", "iM.data_GTAGAGGAGGTGGTTG-1", "iM.data_GCACGTGGTTCGGACC-1", "iM.data_TAAGTCGGTCTTGCTC-1", "iM.data_TTCCTCTCAGGTAGTG-1", "iM.data_ACTGCAAGTCCGGACT-1", "iM.data_TGTTTGTAGACAGCTG-1", "iM.data_TTACCATCAGAACCGA-1", "iM.data_CGGGTCAAGAGAGGGC-1", "iM.data_GTCAAACCAGGTCAAG-1", "iM.data_CTCCGATAGCGAGTCA-1", "iM.data_GATTGGTCAGGAGGTT-1", "iM.data_GCATTAGTCCGTGTCT-1", "iM.data_TGAGGTTCACAAATAG-1", "iM.data_CTAGACATCGGTAGAG-1", "iM.data_GATTGGTAGGCGTCCT-1", "iM.data_GTCTTTAGTGTAGGAC-1", "iM.data_AGAACAAGTTTGTGGT-1", "iM.data_GTCATCCCAGATACTC-1", "iM.data_AGGAGGTGTATGAGCG-1", "iM.data_CCTTTGGGTGTGAATA-1", "iM.data_CCTAAGACACGTAGAG-1", "iM.data_TCAGTTTCAGAATTCC-1", "iM.data_AGCGCCAAGAAGCCAC-1", "iM.data_TTTGACTAGGGTTAAT-1", "iM.data_AAAGAACAGAGAGCCT-1", "iM.data_ATTCTTGAGGATGTTA-1", "iM.data_GAGTGTTTCCGCGATG-1", "iM.data_GGGACAACAAGTGCAG-1", "iM.data_ACTGATGCAATAACCC-1", "iM.data_ACACCAATCTTACACT-1", "iM.data_CGATGGCTCGTACCTC-1", "iM.data_GGGTCACAGGGCGAGA-1", "iM.data_TCATTGTCATAGAATG-1", "iM.data_CTCCATGTCAGACATC-1", "iM.data_CGGAGAAAGCGATTCT-1", "iM.data_TCATTTGCAAACTCGT-1", "iM.data_GTAGGAGAGTACCATC-1", "iM.data_CACATGACACGCGCTA-1", "iM.data_AAGACAACACATGGTT-1", "iM.data_AGAAGTATCCCATTTA-1", "iM.data_GAAGCGATCGACGTCG-1", "iM.data_ACGATCATCAACCTTT-1", "iM.data_AGCGATTGTCGAATGG-1", "iM.data_TGTCAGAAGCGACTAG-1", "iM.data_TCAGCAACAGAGTGAC-1", "iM.data_ACCTGAATCTGGAGAG-1", "iM.data_TGTGATGCAGGTGGAT-1", "iM.data_TCGACGGTCAGGCGAA-1", "iM.data_TGGGCGTTCTTACGTT-1", "iM.data_GTCGTAACATCACGGC-1", "iM.data_CGTCAAATCCTCCACA-1", "iM.data_GTCCTCAGTGATACAA-1", "iM.data_GAAGGACAGTCAGGGT-1", "iM.data_GCATCGGGTTGCGGAA-1", "iM.data_CCTCTCCTCAGCTGAT-1", "iM.data_GGGTTATCATGTGCTA-1", "iM.data_TTTATGCCAAGACCTT-1", "iM.data_TCGGATATCTCGGCTT-1", "iM.data_CGTCCATGTTAGTCGT-1", "iM.data_TCACACCTCTCGACCT-1", "iM.data_TACCTCGGTTCAAAGA-1", "iM.data_CCACGTTGTCTGTGGC-1", "iM.data_TCTTTGACAGCATGCC-1", "iM.data_TTCCTCTTCATTATCC-1", "iM.data_TTCGATTGTTATTCTC-1", "iM.data_GCTACCTAGAGAGAAC-1", "iM.data_CAACAACAGATAACAC-1", "iM.data_TAGTGCACATAACAGA-1", "iM.data_GGAACCCGTATCTTCT-1", "iM.data_ATTGGGTAGAGGTCAC-1", "iM.data_CAACGATTCGCCTCTA-1", "iM.data_CAGTTAGGTCGGTGTC-1", "iM.data_CCGGACACAACCAATC-1", "iM.data_TGGTAGTCAATGGGTG-1", "iM.data_GTGGGAAGTCATCGCG-1", "iM.data_TGAGGAGGTGAGTTTC-1", "iM.data_CAACCTCTCAACGTGT-1", "iM.data_GGTAATCAGTCAAGCG-1", "iM.data_GGCAGTCAGGTGCTGA-1", "iM.data_CAGCAGCTCCATTCGC-1", "iM.data_CCTCCTCTCCTAGAGT-1", "iM.data_TTTGACTAGTGTTCCA-1", "iM.data_GGGAGATCAGGCCTGT-1", "iM.data_GCCTGTTAGTGGTTCT-1", "iM.data_AGGGCTCAGTCATAGA-1", "iM.data_ATTCCCGAGAGGGTCT-1", "iM.data_CCTCATGTCTATTCGT-1", "iM.data_CCTCACAGTCGTTGCG-1", "iM.data_GTATTGGTCACCGGGT-1", "iM.data_TCTAACTGTACTAAGA-1", "iM.data_AGGGTCCCAGGAGGTT-1", "iM.data_TATCAGGCAACCGGAA-1", "iM.data_GGAATGGAGGAAGTCC-1", "iM.data_ATGAGTCGTGCCGGTT-1", "iM.data_ATTCCCGCACCAGTAT-1", "iM.data_AACACACTCGGCTTCT-1", "iM.data_CATTGAGCAGGTTTAC-1", "iM.data_CACGGGTGTAGCGTCC-1", "iM.data_CACTGGGAGACATATG-1", "iM.data_GATCACAAGGCGTTGA-1", "iM.data_GTCCACTTCCTAACAG-1", "iM.data_AGTCACACAACAAGAT-1", "iM.data_TCGGGTGCAGTAACGG-1", "iM.data_GATGATCCATGTGGCC-1", "iM.data_ACGGGTCCATATAGCC-1", "iM.data_TCGCACTGTATCGTTG-1", "iM.data_CTTCGGTAGCCTGACC-1", "iM.data_AGGTTACTCAAACGAA-1", "iM.data_ACACCAATCCGGACGT-1", "iM.data_TTGCCTGCAATAGAGT-1", "iM.data_CATGGATCAGCTCATA-1", "iM.data_GTTACGAGTCTCCTGT-1", "iM.data_CTCATCGTCTGGCTGG-1", "iM.data_CGAGGAATCGCATAGT-1", "iM.data_TCGTCCAAGTTGCATC-1", "iM.data_TTCATTGTCGACACTA-1", "iM.data_GGTGGCTCATCGAACT-1", "iM.data_AGATCGTCAGGACTAG-1", "iM.data_CAGCCAGGTGAACGGT-1", "iM.data_TCAGTTTCAGAGGACT-1", "iM.data_GAGCCTGCAGGACATG-1", "iM.data_GCATCTCAGCAGTAAT-1", "iM.data_TCAAGTGGTATCACCA-1", "iM.data_TTTACCAGTCTGCATA-1", "iM.data_AAGACAAGTAGACGTG-1", "iM.data_GCATGATGTAGCGTCC-1", "iM.data_CCCTAACCAGTGTACT-1", "iM.data_AGCCAATTCCGTAGTA-1", "iM.data_AATTTCCTCTTGAGCA-1", "iM.data_TGTAAGCTCTCAACCC-1", "iM.data_TCCTCTTAGGCCGCTT-1", "iM.data_CGGGTCAGTCAGGTAG-1", "iM.data_TCTGTCGGTAACAGTA-1", "iM.data_GGGACTCTCGGCCAAC-1", "iM.data_GTTGTGACACCAGTTA-1", "iM.data_CGCATGGAGACTTCCA-1", "iM.data_CAGATACTCCGGACTG-1", "iM.data_TAGCACAAGTGATTCC-1", "iM.data_GCAGTTACAACTACGT-1", "iM.data_TAAGTCGAGCGTTAGG-1", "iM.data_TAACCAGCAGAGCTAG-1", "iM.data_GCGTTTCAGGAACATT-1", "iM.data_TTCAGGACAATGCAGG-1", "iM.data_TCTGTCGAGACTGGGT-1", "iM.data_ACGGGTCCAATTCTTC-1", "iM.data_ACGTAGTTCTGCATAG-1", "iM.data_GTCATCCAGTTGCTGT-1", "iM.data_CAGTTAGAGAGTCAGC-1", "iM.data_ACTTTGTAGTCTGGTT-1", "iM.data_TAAGCACAGTGATAAC-1", "iM.data_AGACACTCATGTCAGT-1", "iM.data_ACTTTCAAGGAAGTGA-1", "iM.data_TAGTGCAAGGGTAATT-1", "iM.data_TGCAGTATCTCGGGAC-1", "iM.data_TCCGAAAAGTGCGCTC-1", "iM.data_AGTAGTCGTCGCACGT-1", "iM.data_TTCCTCTCAACACAAA-1", "iM.data_ATCCATTCAGATCATC-1", "iM.data_TGAGACTGTGAACGGT-1", "iM.data_TGATTTCCAGCCCACA-1", "iM.data_TAGACCAAGATGCTGG-1", "iM.data_GTTAGTGAGCACTCCG-1", "iM.data_CGCATAATCTGGTGGC-1", "iM.data_CGAGTTAAGGAACATT-1", "iM.data_CGAGTTAAGCCAACCC-1", "iM.data_CAAGGGAAGCCTTCTC-1", "iM.data_GCGTTTCAGATTGATG-1", "iM.data_CAACGATGTGTAGCAG-1", "iM.data_CGAGAAGAGGCCTTCG-1", "iM.data_CTGCGAGTCCGTAGGC-1", "iM.data_TGCTGAACACTTGGCG-1", "iM.data_TCTGTCGCAAGATTGA-1", "iM.data_AACCCAACATACCATG-1", "iM.data_ATCGTCCGTGTCATCA-1", "iM.data_TGCACGGTCACTGGTA-1", "iM.data_CACCAAAGTAATGCTC-1", "iM.data_CGGGTGTCACGACAAG-1", "iM.data_GGGTAGATCTGAGTCA-1", "iM.data_CTAAGTGAGGTCGACA-1", "iM.data_CCAATTTTCGCCAACG-1", "iM.data_GGAATGGCAACACAGG-1", "iM.data_CATCGTCAGGTGTGAC-1", "iM.data_TTGGGCGTCGGCTTGG-1", "iM.data_AGGTAGGAGTGTCATC-1", "iM.data_AGTAACCCACGTACAT-1", "iM.data_GAAGGGTGTGAGGCAT-1", "iM.data_GTAGGTTTCATACGAC-1", "iM.data_ATGGAGGCACTCACTC-1", "iM.data_CATACCCGTATTGACC-1", "iM.data_TCAAGACCAGAAGCGT-1", "iM.data_TCCGGGATCTCACGAA-1", "iM.data_AGAGCCCAGGCGAACT-1", "iM.data_AGGAGGTGTGTTTCTT-1", "iM.data_ACGTCCTTCTTGGGCG-1", "iM.data_CGCCATTTCACTGTTT-1", "iM.data_ATACCTTTCTGTAAGC-1", "iM.data_TTTATGCCAAAGGGCT-1", "iM.data_TCCGGGAGTAGTGCGA-1", "iM.data_GAGACCCAGCGATGAC-1", "iM.data_TAACACGGTAGTCTGT-1", "iM.data_GTGGTTATCGGACTGC-1", "iM.data_AACAAGAAGTATGCAA-1", "iM.data_TATTGGGTCCGGCAAC-1", "iM.data_TCAGCAATCAACCCGG-1", "iM.data_CCGGACAAGAAAGTCT-1", "iM.data_AGCGATTAGGCTTAGG-1", "iM.data_CACAGGCGTTCCCAAA-1", "iM.data_GCGTTTCTCAAGTCTG-1", "iM.data_TATTGGGGTATGTGTC-1", "iM.data_ATTTCACGTAGACTGG-1", "iM.data_CAGATTGGTTGATGTC-1", "iM.data_GAGTTTGGTTGCCGCA-1", "iM.data_TGTCCACTCGAGATGG-1", "iM.data_TCTACATGTTCCTAGA-1", "iM.data_GATCGTAGTTCCATTT-1", "iM.data_AACCTGAAGCTGGCCT-1", "iM.data_CCCTCAAAGTCTCGTA-1", "iM.data_TGTTGGAGTACAGTAA-1", "iM.data_ATGGGTTGTTGCCAAT-1", "iM.data_AGTCTCCAGTTCTACG-1", "iM.data_AAGTACCGTCCAGCCA-1", "iM.data_GTAACACGTACGCTAT-1", "iM.data_GTTGAACAGAGAGTTT-1", "iM.data_ACTTCGCGTCACCACG-1", "iM.data_AACAAGAGTATCCTTT-1", "iM.data_ATGTCTTTCATTTGGG-1", "iM.data_CTCATGCGTAGGACTG-1", "iM.data_TTCTTGATCAAGTGGG-1", "iM.data_CTCTCAGCATAGGAGC-1", "iM.data_TTATTGCGTTCCGGTG-1", "iM.data_GTGCTTCTCTCGCCTA-1", "iM.data_GAAGGACCAGGACGAT-1", "iM.data_TTGACCCCATACGCAT-1", "iM.data_GTGAGCCTCTTCCCAG-1", "iM.data_ATGTCCCTCCGAAATC-1", "iM.data_CCTACGTTCTCTGAGA-1", "iM.data_CATACCCGTTCTAACG-1", "iM.data_AAGACAAGTACCCAGC-1", "iM.data_GCAGCTGTCGTTCAGA-1", "iM.data_GTGTTAGCACAGTCGC-1", "iM.data_ATTCATCCACACTGGC-1", "iM.data_CAACGATAGTCGCGAA-1", "iM.data_CACGGGTGTGCTGCAC-1", "iM.data_ATCGATGTCCGGCAAC-1", "iM.data_ATGACCATCACTGCTC-1", "iM.data_GAACGTTCAGTCGGTC-1", "iM.data_GTGTGATTCCTCAGAA-1", "iM.data_TCATGCCCAATGACCT-1", "iM.data_TGAGGGATCCATACTT-1", "iM.data_ATACCTTAGTGGCAGT-1", "iM.data_GGTAACTGTGAAGCTG-1", "iM.data_TAACACGCACATCCCT-1", "iM.data_CGAAGGAGTGATACAA-1", "iM.data_AGACCATGTTTCGACA-1", "iM.data_TCAAGCAAGGCTCCCA-1", "iM.data_GTTTGGACATTGCTGA-1", "iM.data_GCATGATCAGTCAGAG-1", "iM.data_GAGATGGTCGAGTCCG-1", "iM.data_GGACGTCTCTGCCCTA-1", "iM.data_CATCGGGTCTGCATGA-1", "iM.data_ATCGGATTCTATGCCC-1", "iM.data_TCTACATGTTCGGACC-1", "iM.data_AGCCACGAGGGAGATA-1", "iM.data_TACTTGTAGTGTCATC-1", "iM.data_CATGGTAGTCCTCAGG-1", "iM.data_GGGTCTGAGAAGCCAC-1", "iM.data_TCTTTGACAGAGGACT-1", "iM.data_TTTCCTCGTGGCGTAA-1", "iM.data_TAAGTCGCAAGATGTA-1", "iM.data_CTCCATGTCGGTCGAC-1", "iM.data_TATCTGTAGCTGCCTG-1", "iM.data_TGTAGACTCTGCATAG-1", "iM.data_TCCCATGGTCGGCCTA-1", "iM.data_GCAACATCAAGATGGC-1", "iM.data_TCGAAGTCAGAGATGC-1", "iM.data_ATAGGCTTCGAAGCAG-1", "iM.data_TCCTCGATCTCTTCAA-1", "iM.data_TTGCTGCTCGTTCCTG-1", "iM.data_TTCGATTCAGTCTACA-1", "iM.data_AGGATCTGTAGCGTTT-1", "iM.data_CGAGGCTTCGACATTG-1", "iM.data_TCCTTTCGTAGTTCCA-1", "iM.data_TCTTCCTAGTCTGCGC-1", "iM.data_GTGAGCCAGCACCTGC-1", "iM.data_AATTCCTGTAAGTCAA-1", "iM.data_CTCCTCCCAAACTCGT-1", "iM.data_ATTCCTACACAAGCAG-1", "iM.data_CTCTCGACATATCTGG-1", "iM.data_CAAGGGAAGTAGTCTC-1", "iM.data_GTTAGACTCGCCTTTG-1", "iM.data_CGTAAGTAGTTCCATG-1", "iM.data_AAGACAATCGATGCTA-1", "iM.data_GATGATCAGACTAGAT-1", "iM.data_CTCGAGGTCGACACTA-1", "iM.data_TCTTAGTTCTAGTTCT-1", "iM.data_CACTAAGGTCACTGAT-1", "iM.data_GTCTAGAAGTTGTCGT-1", "iM.data_TTGCATTGTGAAAGTT-1", "iM.data_TTTGTTGGTGAATTGA-1", "iM.data_AGACACTGTTTGTTGG-1", "iM.data_CTCAGAATCAAGGACG-1", "iM.data_AGACACTTCGTTAGTG-1", "iM.data_GTAAGTCTCTCTTCAA-1", "iM.data_TACGTCCCAACTAGAA-1", "iM.data_TGGAACTTCCTTCTAA-1", "iM.data_CAGATTGCAGCTGTAT-1", "iM.data_TCAATCTTCAAGTGTC-1", "iM.data_TCGTCCAGTTGCAAGG-1", "iM.data_GTCCTCACACAATTCG-1", "iM.data_CAGCCAGAGACTCATC-1", "iM.data_GAGTTACCATCAGTGT-1", "iM.data_AGCGCCATCCGTGTGG-1", "iM.data_CCGAACGAGTTTGTCG-1", "iM.data_GCATTAGTCTATTCGT-1", "iM.data_TGTGATGCAGTAGTTC-1", "iM.data_TACGCTCGTACGTGAG-1", "iM.data_TGTGTGACAAGTTTGC-1", "iM.data_AGGCTGCTCGCGCCAA-1", "iM.data_ATCTTCAGTAGGCAAC-1", "iM.data_CCTAAGAAGTCTCTGA-1", "iM.data_TCACGCTGTCGTACAT-1", "iM.data_AGACACTCAATTGCCA-1", "iM.data_AGTCATGTCTATGTGG-1", "iM.data_CGAAGGAGTCTGCCTT-1", "iM.data_CGCAGGTCACAAGTGG-1", "iM.data_TATCTTGGTGCTCTTC-1", "iM.data_CCGATCTGTTCGTACA-1", "iM.data_TAGCACATCACGATCA-1", "iM.data_CTGCCATGTGGATACG-1", "iM.data_ACCATTTTCGTCCATC-1", "iM.data_TCCGTGTTCATTGCGA-1", "iM.data_AGGTCTACAAATCAGA-1", "iM.data_AGGCTGCTCACGATAC-1", "iM.data_AGCGCCAAGTGCTCAT-1", "iM.data_TTCGCTGCAGGCAATG-1", "iM.data_TAGGGTTTCGACATCA-1", "iM.data_TTGCGTCTCATCCCGT-1", "iM.data_AGTACCATCGCCTTTG-1", "iM.data_AGATAGACAGCCTACG-1", "iM.data_GATTCGACAAGTAGTA-1", "iM.data_AGAACCTGTTTAGTCG-1", "iM.data_TGCATGAGTAGTATAG-1", "iM.data_CATTCATAGATGTAGT-1", "iM.data_GCAGCTGAGTCACTGT-1", "iM.data_ATTCTACTCGCTGACG-1", "iM.data_GGTGTCGGTCTTTCAT-1", "iM.data_AACAAGAAGCTGTCCG-1", "iM.data_AGGCCACAGATGATTG-1", "iM.data_ACTTAGGAGCGTTACT-1", "iM.data_TGTTCTATCGACATAC-1", "iM.data_TCATTCATCTTACCGC-1", "iM.data_TAGGTTGAGTACCCTA-1", "iM.data_TATCAGGTCATGCCCT-1", "iM.data_CATACAGGTCGCAGTC-1", "iM.data_ATCATTCGTGGGTTGA-1", "iM.data_CTTACCGCACCTTCGT-1", "iM.data_ACTTATCCACAAGTTC-1", "iM.data_TACAGGTCAGGAGACT-1", "iM.data_AGGATCTCAAGGCAAC-1", "iM.data_CATGGATTCGGTCATA-1", "iM.data_GTTACGACATGCTGCG-1", "iM.data_TGTGCGGGTCAGACGA-1", "iM.data_CCCTAACTCATCACAG-1", "iM.data_TATTCCACAAGTTTGC-1", "iM.data_TGTTGGAGTTCATCGA-1", "iM.data_AGTCATGGTATACCTG-1", "iM.data_GTCTGTCGTCATAGTC-1", "iM.data_ATGAAAGAGATTTGCC-1", "iM.data_TGTTGGACATGGCCCA-1", "iM.data_CATGGTAAGGGCTAAC-1", "iM.data_GCACGTGAGTATCCTG-1", "iM.data_TTGGATGCAGTGTGGA-1", "iM.data_TTGGATGCATCTGCGG-1", "iM.data_GAGTTACTCGGCGATC-1", "iM.data_TCGATTTAGTGTTCCA-1", "iM.data_TCAATTCTCTCTCGCA-1", "iM.data_TTGGGTAGTTCCGCGA-1", "iM.data_TTCTGTACACGCGTGT-1", "iM.data_AACCTTTTCGTCGCTT-1", "iM.data_GTATTGGTCTGAGCAT-1", "iM.data_CTACCCACAGAGACTG-1", "iM.data_CAAGCTAAGCCGAATG-1", "iM.data_GAATCGTGTCTCTCCA-1", "iM.data_GTCTGTCAGGCTAAAT-1", "iM.data_GGAGGTAGTCCGTTTC-1", "iM.data_TTTGTTGTCTTAGCCC-1", "iM.data_TGATTTCAGCCTTGAT-1", "iM.data_CCAAGCGGTGGAGAAA-1", "iM.data_ATGAGGGCAGTCCGTG-1", "iM.data_GTTACGATCTCGAACA-1", "iM.data_TCCGGGAGTCAAAGAT-1", "iM.data_GTAACCATCTTCTGTA-1", "iM.data_GATCCCTGTCATCCGG-1", "iM.data_CGGGCATTCTAGGCCG-1", "iM.data_GCAGTTAGTACCATAC-1", "iM.data_CACTAAGTCGTTGTTT-1", "iM.data_CCACAAAGTATGTGTC-1", "iM.data_TCGCAGGTCACTTGGA-1", "iM.data_TTTACTGCAAATGGCG-1", "iM.data_TCATGAGTCGATTGAC-1", "iM.data_GACTTCCGTTCAGCGC-1", "iM.data_AGAGCAGGTGAGCCAA-1", "iM.data_GAAATGACAGCCATTA-1", "iM.data_ACCTGAACACTGAGTT-1", "iM.data_AATTCCTAGACGGTTG-1", "iM.data_GAGTCATTCCATTTGT-1", "iM.data_ACTTATCTCTATCGCC-1", "iM.data_TACAACGTCTGAGAGG-1", "iM.data_TCGACCTCATGCTGCG-1", "iM.data_TCTGGCTTCCGTTGGG-1", "iM.data_TGACAGTTCGATTCCC-1", "iM.data_AACAAAGGTACTGACT-1", "iM.data_CGAGTGCTCGCACGAC-1", "iM.data_TACCTCGGTCACATTG-1", "iM.data_GCACGTGGTGCATACT-1", "iM.data_TCTGGCTGTGATCGTT-1", "iM.data_AATGGCTTCTGGACTA-1", "iM.data_CTCAACCCATAGATGA-1", "iM.data_CCGTTCATCTCGGGAC-1", "iM.data_GATCAGTCATCTGGGC-1", "iM.data_TTTGGTTAGACGCATG-1", "iM.data_GTTTACTAGAAGCTGC-1", "iM.data_GTGCGTGGTCATCTAG-1", "iM.data_AATGGAATCCCGAGGT-1", "iM.data_CTCATTAGTTGACTAC-1", "iM.data_TCTTAGTTCGGCATAT-1", "iM.data_GGGACTCTCACTGAAC-1", "iM.data_CACCGTTAGATCGCTT-1", "iM.data_ATTCTACAGAAGTCAT-1", "iM.data_TAGGGTTGTACACTCA-1", "iM.data_CATGGATGTTAGGGAC-1", "iM.data_ACAAGCTAGTAGAATC-1", "iM.data_GTGCGTGGTATGGTAA-1", "iM.data_GTAGAGGGTCCTGAAT-1", "iM.data_ATCCACCTCAAGCTGT-1", "iM.data_GATAGAAAGAAGGCTC-1", "iM.data_AGAACAATCTTGTTAC-1", "iM.data_CTGAATGGTTGCAACT-1", "iM.data_GGTGATTGTACCATAC-1", "iM.data_TTGTTTGTCGCAGTTA-1", "iM.data_GCTTGGGCAACCGTGC-1", "iM.data_ACTGCAATCAGGCGAA-1", "iM.data_ATTTACCCAAAGTATG-1", "iM.data_CCCTCAAGTATTGAGA-1", "iM.data_GAAGAATTCTTTGATC-1", "iM.data_TGCAGGCAGAAGCGCT-1", "iM.data_TCCAGAATCCCTTTGG-1", "iM.data_CCACGAGCACTATCCC-1", "iM.data_CTTCGGTGTCTTGCGG-1", "iM.data_CCTCCTCTCGATTCCC-1", "iM.data_TCCTTTCAGTACGAGC-1", "iM.data_TTGCATTAGCAGTACG-1", "iM.data_CAGCGTGTCAAGCCGC-1", "iM.data_ATGGAGGGTAGGTGCA-1", "iM.data_CTTCCTTCAAGAGCTG-1", "iM.data_AGACTCATCCGTTGGG-1", "iM.data_AAGTCGTCACACAGCC-1", "iM.data_AGTTCCCGTCCACAGC-1", "iM.data_CTAACCCGTACCTGTA-1", "iM.data_AGGACGAGTTTGGAGG-1", "iM.data_ACCCTTGGTTACGCCG-1", "iM.data_ACTTCGCAGACTCATC-1", "iM.data_ATGAGGGTCGGAAACG-1", "iM.data_AACCCAAGTAGACGGT-1", "iM.data_TAGACTGCAGTAACCT-1", "iM.data_CCCTTAGCAGTCTTCC-1", "iM.data_GACGTTATCTCGCTTG-1", "iM.data_GAGCTGCAGTAGCATA-1", "iM.data_TGTGGCGTCGTCGCTT-1", "iM.data_AATTCCTAGTAGGAAG-1", "iM.data_ACGGGTCCAGGCAATG-1", "iM.data_GACTCTCGTGCAACGA-1", "iM.data_ATATCCTCATGAGGGT-1", "iM.data_GGAATGGTCAAGCTGT-1", "iM.data_CATCGCTAGCGCTGCT-1", "iM.data_ATTATCCAGCCTCATA-1", "iM.data_TGCTCCAAGAGGTCGT-1", "iM.data_TGCATGAAGGCATGCA-1", "iM.data_CCGGACACACCAAAGG-1", "iM.data_TCATGGATCCATCTAT-1", "iM.data_CTTCTAATCGGCTGGT-1", "iM.data_ATTCAGGGTACGATGG-1", "iM.data_AGATGAAGTACGTGAG-1", "iM.data_ATTCAGGAGGGCAGGA-1", "iM.data_ATTACTCAGGGCCAAT-1", "iM.data_CAACAGTAGTATCCTG-1", "iM.data_AGCGCTGAGCATATGA-1", "iM.data_CCAATTTAGTTGTAAG-1", "iM.data_ACGTAGTCACTAGAGG-1", "iM.data_AATGGAATCCCGAAAT-1", "iM.data_GAAGAATTCGGACCAC-1", "iM.data_CGCAGGTGTTCAGGTT-1", "iM.data_TTCCTAAGTTATTCCT-1", "iM.data_GGTAACTCAGCTATTG-1", "iM.data_TCACATTGTAGTGATA-1", "iM.data_GTGTTAGGTGCCTACG-1", "iM.data_ACTTATCCACTCGATA-1", "iM.data_GTAGGAGTCGTGGAAG-1", "iM.data_TTTCAGTGTGATTCTG-1", "iM.data_GCTTCACGTCTACAAC-1", "iM.data_CTCAACCGTCTGATCA-1", "iM.data_GTAATCGTCTTCGTAT-1", "iM.data_GGCTTTCAGTTCTCTT-1", "iM.data_GAGTTTGTCATTATCC-1", "iM.data_GTTATGGGTTCGTACA-1", "iM.data_ACCTGTCAGGATACGC-1", "iM.data_TAATTCCAGGCTCTCG-1", "iM.data_GTCTGTCTCCTTGGAA-1", "iM.data_CGTGCTTTCCTAGCTC-1", "iM.data_AGCGCCACAAATTGGA-1", "iM.data_GACTGATTCTAAGCGT-1", "iM.data_TTCAGGATCTACTTCA-1", "iM.data_GGGTCTGGTGCCCGTA-1", "iM.data_TTCCACGCAAGGGCAT-1", "iM.data_GGGTTTACACCAGCTG-1", "iM.data_TCGCTTGGTGCCTATA-1", "iM.data_CATTCATTCCCGTTCA-1", "iM.data_ATCACAGTCCATTTGT-1", "iM.data_CTACAGACACGCAAAG-1", "iM.data_TAGGAGGTCATGACAC-1", "iM.data_GGGTCACGTGAGCGAT-1", "iM.data_AGAGCAGCACCGTGCA-1", "iM.data_TTCAATCCACTAGGCC-1", "iM.data_CTGGTCTAGGGCTAAC-1", "iM.data_TTACCATAGCTTAAGA-1", "iM.data_CACGTGGTCACACCCT-1", "iM.data_ATCACTTAGTTAGAAC-1", "iM.data_CAAGGGAGTCAGGAGT-1", "iM.data_TTACCGCCAGAGGAAA-1", "iM.data_GCATGATAGGCATGGT-1", "iM.data_TTTCCTCCAGCGTGCT-1", "iM.data_TAGACCAGTCCTTGTC-1", "iM.data_ACTGTCCCAACTCATG-1", "iM.data_TAGGTTGTCCTTATCA-1", "iM.data_TTACTGTCAACGTAAA-1", "iM.data_ATCACAGAGACGGATC-1", "iM.data_CACGGGTGTATACCTG-1", "iM.data_CAATGACTCGATACAC-1", "iM.data_TGTACAGAGTTCGGTT-1", "iM.data_ATTACTCGTCTCCTGT-1", "iM.data_CATTCTATCGCAGATT-1", "iM.data_CCTCTAGAGCAATTCC-1", "iM.data_AGGTTACTCCGGTAAT-1", "iM.data_AAAGGGCGTCGAACAG-1", "iM.data_CAACCTCGTAAGCGGT-1", "iM.data_AAACGCTCAACAAGTA-1", "iM.data_ATGCATGGTCAGGTGA-1", "iM.data_GGGATCCGTATATGGA-1", "iM.data_CATTGTTGTAGCTAAA-1", "iM.data_TTGCCTGGTGGATCAG-1", "iM.data_TACACCCAGCATAGGC-1", "iM.data_AAGTCGTAGCACTTTG-1", "iM.data_GCCCGAACAGGCATGA-1", "iM.data_CATTGTTAGATAGTCA-1", "iM.data_GTTCCGTCAGTTTCAG-1", "iM.data_TGTGCGGTCCTGTTAT-1", "iM.data_ACGCACGCATGGCTGC-1", "iM.data_TGAGGGATCCGTCCTA-1", "iM.data_AGAGCAGTCGAGCTGC-1", "iM.data_TCACGGGGTGCCCACA-1", "iM.data_TATCCTAGTTCAGTAC-1", "iM.data_ACTTTGTTCTGCGGAC-1", "iM.data_TGTGTGATCGTCAAAC-1", "iM.data_TGATGGTAGGCCACTC-1", "iM.data_TCCTCTTGTGTATACC-1", "iM.data_GGTTGTAAGTATTAGG-1", "iM.data_TTCTTCCGTTTGAACC-1", "iM.data_GTAACACTCCTCACTG-1", "iM.data_GCCCAGACATACGCAT-1", "iM.data_TGTGCGGTCATTTGCT-1", "iM.data_CAACCTCAGTAGGCCA-1", "iM.data_AGGATCTCAATAGAGT-1", "iM.data_GGTAGAGAGGAAGAAC-1", "iM.data_GGGATGATCCATCCGT-1", "iM.data_GTTGTCCTCTATCCAT-1", "iM.data_GTCCCATGTTCGGTAT-1", "iM.data_TTTATGCCAATACCTG-1", "iM.data_AGAAATGCATGAGGGT-1", "iM.data_GTGACGCCACGTACTA-1", "iM.data_TAAGTCGTCTCGTGGG-1", "iM.data_GCTGCAGGTACAACGG-1", "iM.data_CCACGAGTCACTCCGT-1", "iM.data_AGGCATTGTGTGACCC-1", "iM.data_GCAGGCTCATCATTGG-1", "iM.data_GACTATGCAGGGATAC-1", "iM.data_CATGCAAAGTTGTAGA-1", "iM.data_ATCCATTAGGCTAGCA-1", "iM.data_AGGACTTCAGTGGCTC-1", "iM.data_CGAAGTTCAAAGGAGA-1", "iM.data_TCGCAGGCATGTGGCC-1", "iM.data_AGTCAACTCCAACTGA-1", "iM.data_CGCATAAGTATGCTAC-1", "iM.data_TTTACTGGTGATAGAT-1", "iM.data_GGTTCTCTCCGCACTT-1", "iM.data_TCTCACGCATATACCG-1", "iM.data_GACTGATGTTCCGCAG-1", "iM.data_GAAGGGTTCGATGCAT-1", "iM.data_AACAAGAGTTTACTGG-1", "iM.data_TTCATTGCACTTTATC-1", "iM.data_AGTACTGGTAGCACAG-1", "iM.data_GATGATCAGTTTGAGA-1", "iM.data_TCATACTCAGTCGTTA-1", "iM.data_TTCCTTCCAGGAATCG-1", "iM.data_CCTGTTGTCTACACAG-1", "iM.data_TCAGTTTAGACTTCGT-1", "iM.data_ACTGATGTCAAGAGGC-1", "iM.data_TCCGAAATCGCACGAC-1", "iM.data_TACCTGCTCGTTGTAG-1", "iM.data_CGGAACCTCGTCTCAC-1", "iM.data_ACTCCCAGTATACCCA-1", "iM.data_GGCAGTCTCTAGTACG-1", "iM.data_GGGTGTCGTCAAAGTA-1", "iM.data_AATCGTGGTAGCTCGC-1", "iM.data_CAAAGAATCTATTTCG-1", "iM.data_ACGTTCCAGTTCAACC-1", "iM.data_CAGCAATAGTCTAACC-1", "iM.data_ATGAGTCGTTAAGGGC-1", "iM.data_GGTTGTAAGTGCAGGT-1", "iM.data_ATCGTAGCAAGTGTCT-1", "iM.data_TTGTTGTCAGCTACTA-1", "iM.data_TTCTGTAAGCCACAAG-1", "iM.data_CTTGAGACATAAGCAA-1", "iM.data_TCCTCCCAGAATCGAT-1", "iM.data_TCATCATGTGTGTCGC-1", "iM.data_ATAGGCTCAATTGCGT-1", "iM.data_GCCAGGTGTAGGGTAC-1", "iM.data_AGCATCACATCACGGC-1", "iM.data_ACGGAAGGTGAAGCTG-1", "iM.data_GCTGAATGTCCTCAGG-1", "iM.data_CCAATGACAGTGAGCA-1", "iM.data_CTGGACGCAACTTGCA-1", "iM.data_CTGTGGGGTCAGACGA-1", "iM.data_TGTTCATCATGTGGCC-1", "iM.data_TGCCGAGTCTGCCTGT-1", "iM.data_TCAAGACAGCCTGAGA-1", "iM.data_ACACCAAAGCGTTCAT-1", "iM.data_TGAGCATCAGGCCTGT-1", "iM.data_GGGAGTAAGTAGACCG-1", "iM.data_GAGTGTTGTTGTAGCT-1", "iM.data_AGGGCTCCACAAACGG-1", "iM.data_ATTACTCTCCTTATCA-1", "iM.data_TCAATCTTCAGCCCAG-1", "iM.data_CTCAATTGTTGAGTCT-1", "iM.data_ACTTATCGTCGTACAT-1", "iM.data_GGGCGTTTCGCAATGT-1", "iM.data_AGGTTACGTGATGTAA-1", "iM.data_CCAAGCGAGGTCGCCT-1", "iM.data_ATCAGGTTCAGACCGC-1", "iM.data_AGCTTCCGTCTACGAT-1", "iM.data_TATTCCATCCGACATA-1", "iM.data_CTCTCAGGTAGCTTAC-1", "iM.data_ACGGTCGGTGTTAAAG-1", "iM.data_TCCAGAAAGACGCCAA-1", "iM.data_AGTGTTGCACAGCTGC-1", "iM.data_CTGTACCGTCAACACT-1", "iM.data_CACAGATTCCGCATAA-1", "iM.data_TATCCTATCATGTCAG-1", "iM.data_TCTATCATCTTTCCAA-1", "iM.data_ACTGTGATCTCGCCTA-1", "iM.data_TAACGACTCTTCTGGC-1", "iM.data_CACTAAGCACTACCGG-1", "iM.data_ACCCAAAAGGGACCAT-1", "iM.data_ATCCACCGTTGCCAAT-1", "iM.data_TCCCATGGTACAAAGT-1", "iM.data_TCATACTTCCCATAGA-1", "iM.data_ATCACGATCAATCCGA-1", "iM.data_TCAGTTTCAAGACTGG-1", "iM.data_GACGTTAGTTAGCTAC-1", "iM.data_GGACGTCCACTTCCTG-1", "iM.data_CTAACCCAGGGAGGTG-1", "iM.data_TGGTGATCATCATTGG-1", "iM.data_ATTCAGGCAGTAGGAC-1", "iM.data_GATAGAAGTGGATCAG-1", "iM.data_TAAGTCGGTCCACTTC-1", "iM.data_AGCTCAATCCAGTGTA-1", "iM.data_GACTTCCGTTCTCTCG-1", "iM.data_GGTTCTCAGAGGCGTT-1", "iM.data_TCAAGTGCAAACTCTG-1", "iM.data_GAGTTGTTCAACTCTT-1", "iM.data_TCCACCAGTTCTCCTG-1", "iM.data_TTCTTGATCTTCGGAA-1", "iM.data_ATTCCCGGTCGCGTCA-1", "iM.data_TACGGTAGTGCTCTCT-1", "iM.data_CTCCAACGTGCATACT-1", "iM.data_CGTCAAAAGCTCTTCC-1", "iM.data_GTCGCGATCCTGTTAT-1", "iM.data_TGGAGGACAGCTACAT-1", "iM.data_TGACGCGGTTAGTCGT-1", "iM.data_GTCATTTTCACCACAA-1", "iM.data_CCGGACACAGTCGCTG-1", "iM.data_ACAACCAGTGGACAGT-1", "iM.data_AACCAACTCGCAGAGA-1", "iM.data_GACTGATTCACCACAA-1", "iM.data_CCTCAGTCAGCTACTA-1", "iM.data_GATCCCTGTGTTGACT-1", "iM.data_AAAGTCCGTTGCCATA-1", "iM.data_TCGTAGAGTCTACGAT-1", "iM.data_AGTGATCGTGTCGCTG-1", "iM.data_GTGTTAGTCTAGATCG-1", "iM.data_GAAATGATCTGGTTGA-1", "iM.data_CAGGCCACAGGTTCCG-1", "iM.data_ACTACGAGTAATTGGA-1", "iM.data_AGTTAGCAGCTCCACG-1", "iM.data_TCGAACATCTGACCCT-1", "iM.data_GCCAGCAGTTTCAGAC-1", "iM.data_TGTGGCGGTTTCGTAG-1", "iM.data_ACTATTCAGGTTAGTA-1", "iM.data_AGGGTTTTCCATCTAT-1", "iM.data_CATAAGCAGTTGCCTA-1", "iM.data_GTTACAGGTTTGGCTA-1", "iM.data_GCAACATTCCATGCAA-1", "iM.data_ACAAGCTCAGATTCGT-1", "iM.data_AACAGGGTCCCACAGG-1", "iM.data_TTGGATGGTTGGCTAT-1", "iM.data_TACCTGCCATACAGGG-1", "iM.data_GAAGAATCACCGTCTT-1", "iM.data_AGTCTCCTCTCGCTTG-1", "iM.data_AGGCTGCCAGCGAACA-1", "iM.data_TCCTTCTTCTCGAGTA-1", "iM.data_GGAGATGTCCCAGGCA-1", "iM.data_CTCCCAACATGTGACT-1", "iM.data_TGAGACTAGATCGCTT-1", "iM.data_CGGGCATAGAATCCCT-1", "iM.data_ACCAAACAGCCAGACA-1", "iM.data_ATGATCGGTCGATTTG-1", "iM.data_TGTAAGCTCAAGCTGT-1", "iM.data_TCAGTCCAGTGGAATT-1", "iM.data_GTGGCGTAGCCTATTG-1", "iM.data_TCAAGCAGTCGCCACA-1", "iM.data_TAACTTCGTGTCTAAC-1", "iM.data_TAGACCAGTAGCTGCC-1", "iM.data_ACCCTTGAGTCATCCA-1", "iM.data_AGACAAACATGTGCCG-1", "iM.data_TACATTCTCCCTCATG-1", "iM.data_AACCAACGTCGTACTA-1", "iM.data_CGCGTGAGTTAATCGC-1", "iM.data_ATAGAGAAGACATATG-1", "iM.data_TGATGCACATTGTGCA-1", "iM.data_GATCAGTTCCCTCTCC-1", "iM.data_AGTCTCCGTCGATGCC-1", "iM.data_GACTATGAGCTACTAC-1", "iM.data_CTCAGGGGTGATAGAT-1", "iM.data_AATGAAGAGAGAGCCT-1", "iM.data_CACCAAAGTGATCGTT-1", "iM.data_TGGTACAGTCTTCAAG-1", "iM.data_GACGTTACATCAGCTA-1", "iM.data_CTCCATGTCTTGTTAC-1", "iM.data_CTGGACGCATACACCA-1", "iM.data_AGTCTCCGTCTCGCGA-1", "iM.data_GTATTTCTCCTCTCTT-1", "iM.data_ATTCAGGGTCGAATTC-1", "iM.data_ATGAGTCGTACTGGGA-1", "iM.data_AGCATCATCTGTCCGT-1", "iM.data_GGTCACGCACCCGTAG-1", "iM.data_AGTGTTGAGCACTCGC-1", "iM.data_TACTGCCTCCAACTAG-1", "iM.data_TCGGTCTAGTCTCGTA-1", "iM.data_TCATCCGGTGTTCAGT-1", "iM.data_CATCGCTTCTTCTAAC-1", "iM.data_TTCTTGACAGATGCGA-1", "iM.data_TCATATCAGAGCCGTA-1", "iM.data_GTCAAGTTCTTAGCCC-1", "iM.data_ACGTACACAAATCAAG-1", "iM.data_GATGGAGCATTGTACG-1", "iM.data_CATCGCTCATGACGTT-1", "iM.data_TCACGCTGTGCTTCAA-1", "iM.data_TGCACGGCACCAGCGT-1", "iM.data_CAGCGTGTCTTTGCGC-1", "iM.data_CTTCAATGTGTCTTCC-1", "iM.data_TACTGCCCACAGGATG-1", "iM.data_TTGATGGCACGAGGTA-1", "iM.data_CGGCAGTGTCCGGTCA-1", "iM.data_CTGAGGCAGTATGAAC-1", "iM.data_TTTGTTGAGTCATGGG-1", "iM.data_AAAGGATAGCTGACAG-1", "iM.data_CCTAAGACAACTGCTA-1", "iM.data_CCCTCTCAGTAGGTTA-1", "iM.data_CGTGAATCACACACGC-1", "iM.data_CGTGCTTGTGTACAGG-1", "iM.data_TCAGTTTCAAGCGAGT-1", "iM.data_AGATAGAGTCTCAGAT-1", "iM.data_AGCCAATGTAGAATAC-1", "iM.data_TGCTCGTCACGACGTC-1", "iM.data_TTGTTTGGTCCGGCAT-1", "iM.data_GTAAGTCCAACTAGAA-1", "iM.data_CAAGCTAAGTCCCGAC-1", "iM.data_CATCCCAAGCACTCTA-1", "iM.data_CGAGGCTAGTTACTCG-1", "iM.data_TGGGCTGCACATATGC-1", "iM.data_TTCCTTCTCGTGTGAT-1", "iM.data_ATTTCACGTATCGCAT-1", "iM.data_CTCCGATAGAAGAGCA-1", "iM.data_TGTTTGTCATCTTAGG-1", "iM.data_GCAACCGTCAGCAATC-1", "iM.data_CCTTGTGAGGACCCAA-1", "iM.data_GCAGCTGAGCGTTCCG-1", "iM.data_GTGAGCCTCAGGAACG-1", "iM.data_ACTATTCTCCCAAGCG-1", "iM.data_TCACTATTCGAGAGAC-1", "iM.data_TCGAACAAGTGGATAT-1", "iM.data_TTCTTGAGTGAGTAAT-1", "iM.data_GAGGCCTGTAGCTGCC-1", "iM.data_AGGCCACAGAGTTGCG-1", "iM.data_CCTCTCCAGTAGACCG-1", "iM.data_CTGCCATCAACGACAG-1", "iM.data_TAACACGAGTTACGTC-1", "iM.data_AGGCATTAGGGCTGAT-1", "iM.data_AACAGGGTCTGACAGT-1", "iM.data_AGGAATAGTCTACAAC-1", "iM.data_TCCTTTCAGCGCAATG-1", "iM.data_GTTACAGGTCATCTAG-1", "iM.data_ATAGGCTAGATTGATG-1", "iM.data_CTGGACGGTCGCATTA-1", "iM.data_TCAGTTTTCATCACCC-1", "iM.data_AGTAGTCCATAGACTC-1", "iM.data_ATGCGATGTTGGAGGT-1", "iM.data_CATCGCTGTAATACCC-1", "iM.data_CTAACCCCACATACTG-1", "iM.data_TGAGGTTGTGGTAACG-1", "iM.data_TAAGCGTAGGGTTAGC-1", "iM.data_CAATTTCCAGTAACCT-1", "iM.data_CATGAGTAGTAGCCAG-1", "iM.data_GCCAACGTCTGGCCGA-1", "iM.data_TCGCTCACACAATGTC-1", "iM.data_ATGAAAGTCGCCAGTG-1", "iM.data_GTATTTCAGGTCCAGA-1", "iM.data_TACTTCATCCGCACGA-1", "iM.data_CATAAGCCACATGGTT-1", "iM.data_TAATTCCCAGCTTTGA-1", "iM.data_TTCCAATGTACGAGCA-1", "iM.data_AGATGAAAGTGTTCCA-1", "iM.data_CCCTTAGCAAACGAGC-1", "iM.data_TCATCATCAATCTCGA-1", "iM.data_GTGGAAGCATTACTCT-1", "iM.data_CAAGGGAGTTGCCGAC-1", "iM.data_GGCTGTGAGCCGCTTG-1", "iM.data_ACACAGTCACGCGTGT-1", "iM.data_ATCATTCCAGAGCTAG-1", "iM.data_CTTCCGACAACGACTT-1", "iM.data_TCTCCGAGTACATACC-1", "iM.data_ACGTACACACTTTAGG-1", "iM.data_TTCAATCGTATCAGCT-1", "iM.data_ATGGATCAGACGACGT-1", "iM.data_AGTCACATCGGTGAAG-1", "iM.data_AGGTCATCATAGGCGA-1", "iM.data_GCACATATCACATTGG-1", "iM.data_CCTCATGTCGAAATCC-1", "iM.data_ACGATCACAGGTGGAT-1", "iM.data_CTCAACCTCCCATTTA-1", "iM.data_ACCTGTCTCGTTGTAG-1", "iM.data_TCAGGTATCTGGGCAC-1", "iM.data_TCCCAGTAGGGTTGCA-1", "iM.data_GACTCTCTCTACTGCC-1", "iM.data_TCGTCCACATGTTTGG-1", "iM.data_CTACTATTCCTGTACC-1", "iM.data_GTCAAACCAGGCCTGT-1", "iM.data_TCATTCAAGCTTCTAG-1", "iM.data_AATGAAGAGACATAGT-1", "iM.data_CCTCCAAAGATGACCG-1", "iM.data_TAGACTGCAGAGGCAT-1", "iM.data_CATGGTATCTGGTGCG-1", "iM.data_AGTTAGCAGGCGAACT-1", "iM.data_TCGACCTGTCTGTGTA-1", "iM.data_CTGTGAACACTTCAGA-1", "iM.data_GGGACAACAGCTACTA-1", "iM.data_TCACATTTCTGCTAGA-1", "iM.data_ACTATCTAGTAGCAAT-1", "iM.data_TGCTCCATCGAACACT-1", "iM.data_TCCTAATTCGTTCAGA-1", "iM.data_GGTGGCTCAGAATTCC-1", "iM.data_CCTGCATGTGGAGAAA-1", "iM.data_TTGGATGTCCTTCTAA-1", "iM.data_GAGGGATAGCCTGCCA-1", "iM.data_TACCTGCGTCATAACC-1", "iM.data_CCCTAACTCTTCTGGC-1", "iM.data_CATGCTCAGAAACTCA-1", "iM.data_CCCGAAGCAGCAGTGA-1", "iM.data_AAAGAACCACTCGATA-1", "iM.data_ACTGTCCCAGTCACGC-1", "iM.data_AGTACTGGTCGTATGT-1", "iM.data_TTCTTGAGTGCTGTCG-1", "iM.data_CTCACTGGTAGATCCT-1", "iM.data_TGCAGTAAGCCTGACC-1", "iM.data_TGAGGAGAGACCTTTG-1", "iM.data_GTTCTATCATACTTTC-1", "iM.data_AGGAAATTCCACAGCG-1", "iM.data_GGGCTACTCGTGGAAG-1", "iM.data_CCGGGTACAGCTGGTC-1", "iM.data_TAGGTTGCAGCGAACA-1", "iM.data_ATCCCTGAGGACTTCT-1", "iM.data_TTCACGCCATGTCAGT-1", "iM.data_GGTGGCTTCGCACTCT-1", "iM.data_AAGACAAAGTTGCATC-1", "iM.data_TCGCACTTCACTACTT-1", "iM.data_GAATAGACACCGTGCA-1", "iM.data_TACCGAATCACCTGTC-1", "iM.data_AGGCCACAGTAATACG-1", "iM.data_CAATCGAAGAATCTAG-1", "iM.data_GTTAGACTCTTGCAAG-1", "iM.data_AGGCCACCAAGTGCTT-1", "iM.data_TGGTGATGTGAGCAGT-1", "iM.data_TCATCCGTCGACCACG-1", "iM.data_CATCAAGGTGATGGCA-1", "iM.data_GTGAGTTTCTGTTGGA-1", "iM.data_TGGAGGATCAGTGATC-1", "iM.data_ATCACGACACACGTGC-1", "iM.data_ATTCAGGTCACTCACC-1", "iM.data_CTAACCCGTTGTGTAC-1", "iM.data_CCTCAGTTCTCATGCC-1", "iM.data_GGGTATTTCAATCCGA-1", "iM.data_ATGGGTTTCATGAAAG-1", "iM.data_CCTCCAACACAGTCAT-1", "iM.data_GCAACCGTCTGTACAG-1", "iM.data_GACAGCCCAGTCGAGA-1", "iM.data_ACGTAACGTAGTCTGT-1", "iM.data_TCTGGCTCACCAGACC-1", "iM.data_GAGTTACCAGCTCCTT-1", "iM.data_AATGACCGTCCGAAAG-1", "iM.data_TCACTCGGTCACGCTG-1", "iM.data_AGGCCACTCATTTCGT-1", "iM.data_CACTGGGAGCTGCCTG-1", "iM.data_GGTGGCTGTTAAAGTG-1", "iM.data_CTCAGAATCGTGCTCT-1", "iM.data_CGTGCTTGTGTGGACA-1", "iM.data_GAGTGAGGTCGGTGTC-1", "iM.data_TCACGCTCATGTGTCA-1", "iM.data_AAGACTCTCAAGAGTA-1", "iM.data_CCCTCAAGTTTGCAGT-1", "iM.data_GTAGAAAAGCCTGTCG-1", "iM.data_TGACTCCAGCAATTCC-1", "iM.data_CCGTAGGCAGATCCTA-1", "iM.data_TCCTCTTGTCGTATGT-1", "iM.data_GTGATGTCAGGAAGTC-1", "iM.data_GTCTGTCGTCGTAATC-1", "iM.data_GCAACCGGTGGATCGA-1", "iM.data_GTTCATTTCCCGTGTT-1", "iM.data_GAGCCTGGTCAGGTAG-1", "iM.data_CCGTTCAAGTCCCAAT-1", "iM.data_CAACAGTGTGGCTTAT-1", "iM.data_AAGATAGGTAGACACG-1", "iM.data_TAGAGTCTCGGCTCTT-1", "iM.data_AACCCAACAAGGCGTA-1", "iM.data_CATTGAGTCGTGGCTG-1", "iM.data_GAAGGACAGGTCGTAG-1", "iM.data_GACTCAATCTGGCCAG-1", "iM.data_TCATTCATCTATGTGG-1", "iM.data_AGGGCTCAGCATACTC-1", "iM.data_GTTATGGAGTCTAGCT-1", "iM.data_CATCCCAAGAAATTCG-1", "iM.data_ATGCGATGTAGCTTTG-1", "iM.data_AGCCAATTCGGTTCAA-1", "iM.data_GACTCTCTCCGTAGGC-1", "iM.data_GTGACGCCACACGGAA-1", "iM.data_ACAACCACACACAGCC-1", "iM.data_CACGTTCTCGGCATTA-1", "iM.data_TGTAAGCCAACACAAA-1", "iM.data_TACAGGTAGCTCAGAG-1", "iM.data_TCAATCTAGTAATTGG-1", "iM.data_TCATGAGAGTAGCAAT-1", "iM.data_GGTCACGTCAACTGGT-1", "iM.data_GGGATCCGTGCATTTG-1", "iM.data_CTGAGGCGTTGTTGAC-1", "iM.data_CTCAAGACAACGCCCA-1", "iM.data_CTGGTCTGTAGGATAT-1", "iM.data_AGATAGATCTATCCAT-1", "iM.data_CCTCATGTCAAGGTGG-1", "iM.data_AGAACCTCAGGGAATC-1", "iM.data_TAAGCCATCTCGTGAA-1", "iM.data_CTCACTGGTAATACCC-1", "iM.data_GTTCGCTTCCGCTGTT-1", "iM.data_TTGGGATTCAGACTGT-1", "iM.data_GCATGATTCAGCACCG-1", "iM.data_CGTCAAAAGGCAGCTA-1", "iM.data_AGACAGGAGCACGATG-1", "iM.data_CTGTAGAGTTGCCGCA-1", "iM.data_AACACACTCCACAGCG-1", "iM.data_CTGATCCTCAGCATTG-1", "iM.data_GGAACCCGTGTTAAAG-1", "iM.data_CTACCTGTCTAGCCAA-1", "iM.data_CGACAGCAGCGTATAA-1", "iM.data_TTACAGGAGGTCGAGT-1", "iM.data_AGTACCAAGCCACTCG-1", "iM.data_CGCATAACAATAGGGC-1", "iM.data_TAGATCGAGGAGAGTA-1", "iM.data_CAAGGGATCTCGTGGG-1", "iM.data_CGTAATGTCGACGCTG-1", "iM.data_TGTCCCACACATCATG-1", "iM.data_ATTCATCTCGTAGTGT-1", "iM.data_ATTCTACGTGTGTCGC-1", "iM.data_TGAACGTCATGGTGGA-1", "iM.data_TGATGGTTCTGCATGA-1", "iM.data_AAGATAGAGAGAGCGG-1", "iM.data_GTCACGGTCATGTCAG-1", "iM.data_TTCCTAAGTCTCAAGT-1", "iM.data_GTGCAGCTCAAGCTGT-1", "iM.data_CTGGCAGAGGTACAAT-1", "iM.data_AGTAACCAGAGTCAAT-1", "iM.data_CGCATGGGTGAGCTCC-1", "iM.data_TAGACCACAACCAATC-1", "iM.data_GTTAGTGTCTACTCAT-1", "iM.data_CTTCGGTGTGGCAGAT-1", "iM.data_GTTCATTGTAAGATCA-1", "iM.data_TCAGGGCCAATTGGTC-1", "iM.data_AGTCACAGTTCAAGGG-1", "iM.data_CGGAATTCACATTCGA-1", "iM.data_GGGTTTACAGTAGTTC-1", "iM.data_AGGTCTATCGCTACGG-1", "iM.data_CAAGCTAGTTCCTTGC-1", "iM.data_TAGACTGCACGTATAC-1", "iM.data_ACGGGTCGTTAAGCAA-1", "iM.data_TACCGAACACAACGCC-1", "iM.data_AAGATAGGTAATTGGA-1", "iM.data_ATAGACCCAGAGTCAG-1", "iM.data_GGTGAAGAGACTTCAC-1", "iM.data_ATAGAGATCTGACAGT-1", "iM.data_CATTGCCCAGCGTTTA-1", "iM.data_TCATTGTTCCACTTCG-1", "iM.data_AACCATGAGAGTAACT-1", "iM.data_CTCCTCCAGTCACACT-1", "iM.data_AGGACGATCGCGATCG-1", "iM.data_AACCATGGTTGGGTTT-1", "iM.data_TGCATCCTCGGACTTA-1", "iM.data_TCCTAATCACCGTCTT-1", "iM.data_CTACCTGGTTAGGGAC-1", "iM.data_AGGATAAGTTGGACCC-1", "iM.data_TAACCAGCATAACCCA-1", "iM.data_CTTACCGTCTCTCCGA-1", "iM.data_TGCTCGTAGTAACAGT-1", "iM.data_TACTTGTTCAGTCTTT-1", "iM.data_TTCTGTATCTCGTGAA-1", "iM.data_AACCTGAAGGTCCCGT-1", "iM.data_TCAGCAAGTCTTTCTA-1", "iM.data_CTAACCCAGTAAACAC-1", "iM.data_CTTCTCTGTATCAGGG-1", "iM.data_ATACTTCAGCAGGGAG-1", "iM.data_ATGACCAGTAGGTGCA-1", "iM.data_GTAATGCTCCATACTT-1", "iM.data_AAGCATCCATGACTCA-1", "iM.data_GACCCAGAGCCAGACA-1", "iM.data_TCATTCATCTTCTTCC-1", "iM.data_TTTGATCCAGGTTCGC-1", "iM.data_TTTGGAGAGTCAAGCG-1", "iM.data_CGCGTGAGTTAGTTCG-1", "iM.data_GGTAGAGCATTCTCTA-1", "iM.data_GTTGCTCCATTCATCT-1", "iM.data_TCATTGTAGAGGCTGT-1", "iM.data_CTTCTCTTCGGATACT-1", "iM.data_AGGTTGTTCCTCAGGG-1", "iM.data_CTGTGAACAGAGCCCT-1", "iM.data_ATTTCTGGTCACTTCC-1", "iM.data_TGCGACGTCGGAACTT-1", "iM.data_AACAACCAGTGACCTT-1", "iM.data_GCTGGGTGTTCTTCAT-1", "iM.data_GAGGCAATCTGAGAAA-1", "iM.data_TGATGGTAGGGCGAAG-1", "iM.data_ATGAAAGGTCTTGCGG-1", "iM.data_CGAGAAGGTATTGCCA-1", "iM.data_GACCAATCATTCGATG-1", "iM.data_ATGAAAGTCCTTCGAC-1", "iM.data_CAATGACCACCCTCTA-1", "iM.data_AATGACCAGACTGGGT-1", "iM.data_GGGTTTAGTTGGAGAC-1", "iM.data_GAACTGTAGGTATTGA-1", "iM.data_GCGTGCATCATTTCGT-1", "iM.data_CACGTTCAGTAAGAGG-1", "iM.data_TGGGCGTTCTGAATCG-1", "iM.data_TATTCCACAACTCCCT-1", "iM.data_AAGGTAAGTTAGGGTG-1", "iM.data_ACTTTGTGTCAATGGG-1", "iM.data_GTTATGGGTCTGTGTA-1", "iM.data_CATACCCTCTGGTCAA-1", "iM.data_ACTATTCAGGCGATAC-1", "iM.data_TCAGCAATCTAACACG-1", "iM.data_TATCCTACAGCCTTCT-1", "iM.data_TATACCTCACTGAGGA-1", "iM.data_AGACCATAGTCACTGT-1", "iM.data_GTTACGATCTGTAACG-1", "iM.data_CCAATGAGTTACGGAG-1", "iM.data_GTTGCTCAGAGTCCGA-1", "iM.data_GTCTGTCCATAGACTC-1", "iM.data_ATTACCTGTCAACGCC-1", "iM.data_CGTCCATCATGAATCC-1", "iM.data_CGTAATGCACCAATTG-1", "iM.data_ATGAGTCCAAGTGACG-1", "iM.data_CCCATTGCAGAACTCT-1", "iM.data_AGTCAACGTCTTGAGT-1", "iM.data_CTCAAGATCCATGCAA-1", "iM.data_GTGTGATTCGTTCCCA-1", "iM.data_GATTCTTTCCACTAGA-1", "iM.data_ACGATCAAGTCTCCTC-1", "iM.data_GCGGAAACACCCGTAG-1", "iM.data_TCATCCGAGCATCAGG-1", "iM.data_CCCTTAGGTCGCAACC-1", "iM.data_GTGCGTGAGATGAACT-1", "iM.data_ACCCTTGAGCATATGA-1", "iM.data_GTGTTCCCATGGGTTT-1", "iM.data_GAAGTAATCACTGAAC-1", "iM.data_GAGTTTGTCTAACGCA-1", "iM.data_GAAGCCCGTAAGTTGA-1", "iM.data_GTGAGCCTCAGGACGA-1", "iM.data_GACCTTCCACGCTATA-1", "iM.data_TACTTGTTCGAACCTA-1", "iM.data_TCAAGTGCATCATTGG-1", "iM.data_GAGTGTTGTCAAAGTA-1", "iM.data_ACTTAGGCAGATCCAT-1", "iM.data_CATGCTCCAGAGGAAA-1", "iM.data_AAGACAAAGGCCTGAA-1", "iM.data_AAGCCATTCATCGCAA-1", "iM.data_ACAGGGATCGCACTCT-1", "iM.data_GGGCTACAGCCACTCG-1", "iM.data_TGGAGGAGTGGAAATT-1", "iM.data_AGCCAGCAGCCGGAAT-1", "iM.data_GAGTTGTTCCATAGGT-1", "iM.data_TCCTTTCTCGTGGCTG-1", "iM.data_ATGAAAGAGTCATCCA-1", "iM.data_ATTCTTGGTACGGGAT-1", "iM.data_CTGTGAACAATCTCGA-1", "iM.data_TACCGGGAGTTAGTAG-1", "iM.data_AACAACCAGCCTCTGG-1", "iM.data_TCGCAGGCACCCATAA-1", "iM.data_CCACAAAGTCTAGGTT-1", "iM.data_CCCTTAGAGCGAGTCA-1", "iM.data_ACAAGCTCACTAGGTT-1", "iM.data_TATTTCGAGCTGGCTC-1", "iM.data_TTGACCCCACAGACGA-1", "iM.data_GGCACGTGTTAGCGGA-1", "iM.data_TCCGATCGTATCGAGG-1", "iM.data_TCAAGCAGTGGCTGAA-1", "iM.data_CGTGAATAGACCACGA-1", "iM.data_CAACCAATCACCACAA-1", "iM.data_CAGCCAGCAATACGCT-1", "iM.data_TTCCTTCTCCGATAAC-1", "iM.data_ATCTCTAAGGTGGGTT-1", "iM.data_GCGATCGCAACCACAT-1", "iM.data_TGTGATGGTTATGTGC-1", "iM.data_AGAAATGAGACAGCGT-1", "iM.data_AGCTACAAGGGTGAAA-1", "iM.data_AACACACTCCGATAAC-1", "iM.data_TTAGTCTAGACCTGGA-1", "iM.data_TTCCGTGCAGGATTCT-1", "iM.data_AAACCCACAACAACAA-1", "iM.data_CAATGACGTGACGTCC-1", "iM.data_TTGGGCGAGTTGCTCA-1", "iM.data_GACGTTATCTGGGTCG-1", "iM.data_ATCCCTGCAGCTGCCA-1", "iM.data_CACGTGGAGAGAGCAA-1", "iM.data_GTATTGGTCCGACGGT-1", "iM.data_ACGATCATCTGATGGT-1", "iM.data_ATAGGCTTCACGAGGA-1", "iM.data_AAGATAGAGTGGTTAA-1", "iM.data_TTTAGTCAGGACAAGA-1", "iM.data_GGTTCTCAGAGGGTCT-1", "iM.data_TCCTAATAGTTAGAAC-1", "iM.data_TTTGTTGCACAAGTTC-1", "iM.data_ACTATCTGTCAGCGTC-1", "iM.data_TCATACTAGGTACAAT-1", "iM.data_TTCTAGTTCGCCGTGA-1", "iM.data_ATCATTCTCACCTTAT-1", "iM.data_AACGTCATCAAACTGC-1", "iM.data_CCTTCAGCAAATCAAG-1", "iM.data_CTCAGGGTCCCTTTGG-1", "iM.data_TTTACTGGTACCCGAC-1", "iM.data_TGGAGGATCGGCTATA-1", "iM.data_CAGAGCCCAGCGTTTA-1", "iM.data_CTCTGGTGTCATAACC-1", "iM.data_AACGGGAGTGGCTTAT-1", "iM.data_CTGTACCTCTAGCCAA-1", "iM.data_GGCAGTCAGTATGAAC-1", "iM.data_GTAGAAATCTTCGGTC-1", "iM.data_GTGTAACCACCGTCTT-1", "iM.data_CAGGGCTGTACCCGCA-1", "iM.data_TACGGTAAGCGAATGC-1", "iM.data_GAGACTTGTATCTCTT-1", "iM.data_ATTCTACTCAGCGGAA-1", "iM.data_AACACACCACAGTCGC-1", "iM.data_CTCCTTTAGTACAGAT-1", "iM.data_GTCCCATAGGATACGC-1", "iM.data_TAACACGTCCAAACCA-1", "iM.data_CATGGTAAGCTCTATG-1", "iM.data_ATGTCCCGTTTACGTG-1", "iM.data_GTTACAGTCGCCGTGA-1", "iM.data_TTACTGTTCTGTCTCG-1", "iM.data_GGAAGTGCATCGAACT-1", "iM.data_CAAGACTAGAGGTATT-1", "iM.data_TCTAACTGTTACCTGA-1", "iM.data_TACCCGTGTATCGGTT-1", "iM.data_AGTTAGCTCACTGATG-1", "iM.data_TCATTCAGTGTCATTG-1", "iM.data_GCCATGGCATGTTTGG-1", "iM.data_CACCGTTCACTTGTCC-1", "iM.data_AGAGAATAGAAGCCTG-1", "iM.data_GGGTGAAGTGCCGAAA-1", "iM.data_TTATTGCAGTGAGGTC-1", "iM.data_CCCAACTAGCTCTATG-1", "iM.data_CTATCCGTCTTTCGAT-1", "iM.data_TGTGAGTGTACCTTCC-1", "iM.data_CGGAACCGTGTTCGAT-1", "iM.data_GTAACCAGTTCTCGTC-1", "iM.data_GGATCTATCGGTCTAA-1", "iM.data_TTGCTGCGTGAGTAAT-1", "iM.data_GAAGTAATCGATTTCT-1", "iM.data_GTCATCCCACGCTGTG-1", "iM.data_ATTACTCTCGGATACT-1", "iM.data_CCACTTGCACGTACTA-1", "iM.data_AGCTACATCGACATAC-1", "iM.data_GGTAACTAGCCTGACC-1", "iM.data_GGGCTCAGTCTATGAC-1", "iM.data_CAGATACAGTTACGAA-1", "iM.data_GGATCTATCAAGTAAG-1", "iM.data_CTAACCCCATGGATCT-1", "iM.data_GGAGCAAGTAGAGTTA-1", "iM.data_AGCGCCAGTAGCACAG-1", "iM.data_CAGATTGCAAATAAGC-1", "iM.data_ATCCTATCATAGGAGC-1", "iM.data_TCTAACTGTTCTCTAT-1", "iM.data_TCATACTTCGAGAACG-1", "iM.data_TAATTCCAGCACCCAC-1", "iM.data_ACTCCCACATAGGTAA-1", "iM.data_CTTCTCTTCATTCCTA-1", "iM.data_GCCCAGATCGCATTAG-1", "iM.data_AGACCATCAACTTGCA-1", "iM.data_TCGCACTTCACCCTGT-1", "iM.data_TCTGTCGGTTTCTTAC-1", "iM.data_AGTTCGACAACGTTAC-1", "iM.data_CAGGGCTCACGTACTA-1", "iM.data_GTCCACTAGGCTTAGG-1", "iM.data_GGGCCATTCCCGTAAA-1", "iM.data_CATGGTATCTCGTTTA-1", "iM.data_TGGAACTAGGTACAAT-1", "iM.data_AACCTGACACTTGTGA-1", "iM.data_TCGCTTGGTGTTAACC-1", "iM.data_TGCACGGCAAGCGCAA-1", "iM.data_ATGGGAGGTAAGATAC-1", "iM.data_CGTCCATAGCCTCATA-1", "iM.data_ACGTCCTAGGTTAAAC-1", "iM.data_GGAACCCTCGCCTATC-1", "iM.data_GTAATGCAGAGCAAGA-1", "iM.data_CTACCTGCAGCCTATA-1", "iM.data_CTACTATTCGCTTACC-1", "iM.data_GTTGTAGAGGATGGCT-1", "iM.data_CAACGATTCGGATAAA-1", "iM.data_GGAGGATAGGCTAAAT-1", "iM.data_TTCAATCAGCAACAAT-1", "iM.data_CATCGGGTCTTTCTAG-1", "iM.data_AGACCCGCATGTCAGT-1", "iM.data_ATCATTCTCAACTTTC-1", "iM.data_GTTAGTGGTTACGTAC-1", "iM.data_TGATCAGAGTAAACAC-1", "iM.data_AGATAGACACAATCTG-1", "iM.data_GATCAGTCACATACTG-1", "iM.data_CTCATGCGTAGGCAAC-1", "iM.data_GGAATCTTCTGCGATA-1", "iM.data_CGGGCATGTCGCCACA-1", "iM.data_GGGTGTCGTTCTGACA-1", "iM.data_GCCAACGGTTTCTATC-1", "iM.data_CGTCCATAGGGCAACT-1", "iM.data_ACTTTGTGTTCGTTCC-1", "iM.data_CTCATGCCATTGTACG-1", "iM.data_CATCCACCACAAGCAG-1", "iM.data_CCACACTTCACACCGG-1", "iM.data_AGTTCGATCCCAAGCG-1", "iM.data_GACCTTCGTAACTTCG-1", "iM.data_AGTCAACAGTAGGAAG-1", "iM.data_AGACTCAAGGGTCACA-1", "iM.data_TGATGCACAGAACTTC-1", "iM.data_CATAGACGTTGGGCCT-1", "iM.data_CAGTTCCGTTACCCAA-1", "iM.data_CAGCGTGGTACGCTTA-1", "iM.data_AAGACTCCAAGCTACT-1", "iM.data_GGGCGTTGTCACGTGC-1", "iM.data_TCTCTGGCAAATACAG-1", "iM.data_CTGATCCGTAACGGTG-1", "iM.data_TGTTCTATCGCCCAGA-1", "iM.data_TTCGGTCAGCAGGCAT-1", "iM.data_AGGAGGTTCCTCATAT-1", "iM.data_TACGTCCCACGACCTG-1", "iM.data_CTTCTAATCCAGCACG-1", "iM.data_TATCAGGGTAGGTCAG-1", "iM.data_GACTGATCAGCTTTCC-1", "iM.data_TCAGTCCCAAGACCGA-1", "iM.data_CACCAAAAGGAGCAAA-1", "iM.data_TCCACCAGTCCGTTTC-1", "iM.data_TGAGGAGCATGAATCC-1", "iM.data_CCCTCTCTCAAGAGTA-1", "iM.data_TGAGGGACAGTAGGAC-1", "iM.data_TTACGTTTCTCCCTAG-1", "iM.data_CTCCTTTGTATCTTCT-1", "iM.data_GCAGGCTCACAGTCCG-1", "iM.data_GTAGCTAGTGAGATAT-1", "iM.data_ACCCAAACAGGAAGTC-1", "iM.data_TGCAGTATCCGGCAAC-1", "iM.data_CAATCGATCGATGGAG-1", "iM.data_GAATCACTCTGAGTCA-1", "iM.data_CCGGACACACGCGCTA-1", "iM.data_TTCGCTGTCCACGGAC-1", "iM.data_TGCCGAGCAGAATGTA-1", "iM.data_GCCATTCAGGGAGGTG-1", "iM.data_GCAGCTGAGACTCATC-1", "iM.data_CCTTTGGTCTCGCTCA-1", "iM.data_CCACGTTCAATTCACG-1", "iM.data_AAGGTAATCCCAATAG-1", "iM.data_TGACAGTAGCTATCCA-1", "iM.data_ATCAGGTTCCGGCAGT-1", "iM.data_GCAGCCATCTAGCCTC-1", "iM.data_TTGCCTGAGTGGATTA-1", "iM.data_TTTGGTTTCCTGGGTG-1", "iM.data_TCAATCTGTCGCACGT-1", "iM.data_AGTGCCGTCTTGCAAG-1", "iM.data_CCCTAACTCCGATCTC-1", "iM.data_CATGCTCTCTCACGAA-1", "iM.data_CCTTCAGTCAAAGGAT-1", "iM.data_AGGTTGTTCAGCGCGT-1", "iM.data_GACAGCCCAAAGCACG-1", "iM.data_ATTTCACGTTGCACGC-1", "iM.data_TCCTTCTTCCAACTGA-1", "iM.data_AATCACGCAAGCGATG-1", "iM.data_TCATTGTAGACGGTTG-1", "iM.data_TGTAAGCTCTCATTGT-1", "iM.data_TCCGTGTGTGCCTAAT-1", "iM.data_TATCGCCAGGAGATAG-1", "iM.data_TATCAGGGTGAGGATC-1", "iM.data_CGCAGGTAGAGCAGTC-1", "iM.data_TGCATGAAGGTTGGTG-1", "iM.data_GTGTTCCTCGGTAAGG-1", "iM.data_CAGATACTCAGTCTTT-1", "iM.data_TAGACTGAGCGCCCAT-1", "iM.data_TTCTAGTGTCAGTCCG-1", "iM.data_ATTCTACCATCATTGG-1", "iM.data_ATCGGATCAGCAGATG-1", "iM.data_AAAGGGCAGGGAGTTC-1", "iM.data_GAGTTTGAGGTTACAA-1", "iM.data_TTCCTCTTCGAGCCTG-1", "iM.data_TCATCATTCAGCATTG-1", "iM.data_ATGAGGGTCGCGTTTC-1", "iM.data_CACAGATGTAGCTGAG-1", "iM.data_TTTGACTAGCTACTAC-1", "iM.data_CCACGAGTCATCGGGC-1", "iM.data_GTTGAACCATGTTACG-1", "iM.data_AAACGAATCGACGATT-1", "iM.data_GTTACGACAGCTGTTA-1", "iM.data_TACCGAAGTGCAAGAC-1", "iM.data_GCCATTCTCCGTAGGC-1", "iM.data_CAGTTCCTCAGGAAGC-1", "iM.data_AGGATAAAGACTCATC-1", "iM.data_TCATCCGAGTTGGACG-1", "iM.data_CTTCGGTAGCCGGATA-1", "iM.data_GCACGGTTCATGAAAG-1", "iM.data_TAGCACATCGATAACC-1", "iM.data_ACCATTTTCCTTATCA-1", "iM.data_GACTCTCAGATTACCC-1", "iM.data_CTTTCAACAGCGGTCT-1", "iM.data_CCACGAGCAGCCTACG-1", "iM.data_ATTCTTGTCACCTCAC-1", "iM.data_GTGTTCCCACATTCTT-1", "iM.data_TTACAGGGTCCAGGTC-1", "iM.data_ATACCTTGTTCTCTAT-1", "iM.data_TTACTGTTCTAGTCAG-1", "iM.data_CATTCATGTTCGTGCG-1", "iM.data_TCTCTGGCAAGTCATC-1", "iM.data_GAGAAATAGGTGCAGT-1", "iM.data_CAGGGCTTCTCCGAAA-1", "iM.data_CTAACTTGTGTGATGG-1", "iM.data_CGATCGGGTGATGTAA-1", "iM.data_GGGTATTAGTAAATGC-1", "iM.data_CGTTGGGAGGCCTAGA-1", "iM.data_TGTTCTAGTACTAACC-1", "iM.data_GGATCTACAGTCTCTC-1", "iM.data_TGATGGTGTTGATCGT-1", "iM.data_AGCCAGCCATGACTAC-1", "iM.data_CACAGATAGCACGTCC-1", "iM.data_GTGCACGGTGGCCTCA-1", "iM.data_GATGACTAGCCAAGGT-1", "iM.data_GAGTTTGCAATAGGGC-1", "iM.data_GATTCTTGTAATGCGG-1", "iM.data_GTGAGCCCACCCAATA-1", "iM.data_GACGCTGAGAGCCGTA-1", "iM.data_ATTGTTCCAGAATTCC-1", "iM.data_GCATTAGTCATTTGCT-1", "iM.data_TATATCCCAGCCTATA-1", "iM.data_CCTAAGAAGAGAATCT-1", "iM.data_CATTTCATCACCGGGT-1", "iM.data_CAACAGTAGCGATGGT-1", "iM.data_CATAGACAGGGTAGCT-1", "iM.data_ATTCACTTCGCCCAGA-1", "iM.data_TGGCGTGGTAGGGAGG-1", "iM.data_TTCCACGCAACGAGGT-1", "iM.data_AGTACTGTCCCATACC-1", "iM.data_ATGCGATCACTCCTGT-1", "iM.data_TACTTGTAGACCTTTG-1", "iM.data_CAGGTATAGAGTCACG-1", "iM.data_TTTACCAAGGTACAAT-1", "iM.data_TCACTCGCAAATTAGG-1", "iM.data_CTGTAGAGTATAGGGC-1", "iM.data_GAGTCTACACAAATAG-1", "iM.data_GGTTCTCTCAGACTGT-1", "iM.data_GCCTGTTCAGCTACAT-1", "iM.data_AAGCCATTCGCTCTAC-1", "iM.data_CCTTCAGAGAATAACC-1", "iM.data_CTGCCTACAGGCTATT-1", "iM.data_TCACTCGTCCCAGGAC-1", "iM.data_GGGTATTAGGCGAACT-1", "iM.data_TGGAGAGGTTCCTAGA-1", "iM.data_ACCTGAAGTCCAAATC-1", "iM.data_AGTACTGTCCACCCTA-1", "iM.data_TCCCAGTAGAGATGCC-1", "iM.data_TGAACGTGTTAAGGGC-1", "iM.data_GGTAGAGCAGTATACC-1", "iM.data_ATCCACCCAAGGGCAT-1", "iM.data_GCAACCGGTGGGATTG-1", "iM.data_ACTCCCAAGTATGGAT-1", "iM.data_ACATCGAGTGTTAGCT-1", "iM.data_ATCTTCAAGTCATACC-1", "iM.data_CGGGCATAGACCATTC-1", "iM.data_TAAGTCGAGTCGTTAC-1", "iM.data_AGCCACGGTCTAATCG-1", "iM.data_GTCATGAGTATGGGAC-1", "iM.data_CTATAGGCACAGCATT-1", "iM.data_AGGTCTAGTCTACATG-1", "iM.data_CTTTCGGGTCGGTGAA-1", "iM.data_CTGCAGGTCAACGAGG-1", "iM.data_GCGTGCATCTACGCGG-1", "iM.data_CTGTGGGGTATGCTTG-1", "iM.data_CATGCTCCAGCTGCCA-1", "iM.data_GATCAGTCAACTCGTA-1", "iM.data_TGCAGATAGTTATGGA-1", "iM.data_AACAACCCAATGAAAC-1", "iM.data_GGGAAGTGTGCTCGTG-1", "iM.data_CTACATTGTCCTCAGG-1", "iM.data_TCATGGACACGCGCAT-1", "iM.data_AGTGCCGTCTTTGCGC-1", "iM.data_ACTTAGGGTTCTCGCT-1", "iM.data_TCTACATGTGCACAAG-1", "iM.data_CTGCAGGAGGGTGGGA-1", "iM.data_GTTACCCTCCCAACTC-1", "iM.data_TTCATTGTCGTCCTCA-1", "iM.data_CCTTCAGGTAGTTCCA-1", "iM.data_GAGGCCTGTCTGTCAA-1", "iM.data_AGGTAGGTCCCGAACG-1", "iM.data_AGTGATCGTATTAAGG-1", "iM.data_CGGAATTTCACACCGG-1", "iM.data_GCCATTCTCACCGCTT-1", "iM.data_CTCTCAGCACTGATTG-1", "iM.data_AGTAACCTCTCTCGAC-1", "iM.data_TCGCTTGTCTCGGGAC-1", "iM.data_TATTTCGCAGATACCT-1", "iM.data_AGAGAGCAGCCTCAAT-1", "iM.data_CTCGAGGCAATTGCTG-1", "iM.data_ACAGGGAGTGAATGAT-1", "iM.data_GTTACCCGTGACACAG-1", "iM.data_TCCTGCACAATGACCT-1", "iM.data_CCGCAAGGTATCGGTT-1", "iM.data_ATCGGATCAGGTCCCA-1", "iM.data_TGCTGAAAGGATCACG-1", "iM.data_TACACCCCACGGTAGA-1", "iM.data_ATCGATGAGCTGGCCT-1", "iM.data_CACAGGCCACCGTGGT-1", "iM.data_TCACACCGTCTGCGCA-1", "iM.data_GTTATGGGTAAGTTGA-1", "iM.data_TTCATTGAGTCACTCA-1", "iM.data_CATTCTACAGGCATTT-1", "iM.data_AAGCGTTCAGCGTACC-1", "iM.data_ACGTCCTTCCACGTGG-1", "iM.data_TATGTTCAGACATAGT-1", "iM.data_TTTACCATCTAACACG-1", "iM.data_AAGATAGTCTTCCGTG-1", "iM.data_TCTTTGAGTTGCAACT-1", "iM.data_ATTCGTTAGTAGCATA-1", "iM.data_CTCCGATTCGCCTCTA-1", "iM.data_GACCCAGAGAGATGCC-1", "iM.data_AGCTCAAGTAAGACCG-1", "iM.data_ATTCACTGTCACTCAA-1", "iM.data_CTCAACCTCCAATCCC-1", "iM.data_TCTACATGTCCTTAAG-1", "iM.data_GACCCAGGTCATCTAG-1", "iM.data_ACGGTCGCAAATAGCA-1", "iM.data_AGACCCGGTACGACTT-1", "iM.data_ATGAGGGGTCCATCTC-1", "iM.data_CATTCCGCACCAGTTA-1", "iM.data_CTTCTCTTCTACCACC-1", "iM.data_GATGAGGTCCCAACTC-1", "iM.data_AAGAACACACTAGTAC-1", "iM.data_CGATGGCGTACAACGG-1", "iM.data_CCCTTAGGTTTGTTGG-1", "iM.data_CACTGGGAGGCATCTT-1", "iM.data_TAGGGTTAGTGTAGAT-1", "iM.data_GGAACCCTCACATCAG-1", "iM.data_TAGGTTGCAGCGTTGC-1", "iM.data_AATCGACCACGGATCC-1", "iM.data_AGGGTTTAGGCGACAT-1", "iM.data_CACCGTTCAACGACAG-1", "iM.data_CTCCGATCAAACACGG-1", "iM.data_GCATGATAGCTGAGCA-1", "iM.data_GAACGTTTCTGCACCT-1", "iM.data_TTTACGTGTTGCCTAA-1", "iM.data_CATGAGTTCATTGTTC-1", "iM.data_TAGTGCAGTTCGTACA-1", "iM.data_CCTCAACCACAGCATT-1", "iM.data_CTAACTTTCAAGATAG-1", "iM.data_TACATTCAGCTTGTTG-1", "iM.data_TTGCCTGCAACTTGGT-1", "iM.data_AGCTTCCGTCTCACGG-1", "iM.data_GACCAATCACTTACAG-1", "iM.data_AGTTAGCCAATACCTG-1", "iM.data_GGGTTTATCTAAGCGT-1", "iM.data_GAAGCGAGTCGTCATA-1", "iM.data_ATCCTATCACAGTCGC-1", "iM.data_ATGGGAGGTCTACACA-1", "iM.data_CAGATCAGTGGAACCA-1", "iM.data_GAGTCATTCGTCTCAC-1", "iM.data_CTGTGGGCAAATGATG-1", "iM.data_AACGGGAAGGAGGTTC-1", "iM.data_GATGAGGGTTACGATC-1", "iM.data_TAAGCCATCTCTCCGA-1", "iM.data_AGGCTGCAGAGGGCGA-1", "iM.data_AGCCAGCAGACAGCGT-1", "iM.data_TACTGCCGTTCAAAGA-1", "iM.data_TTGTGTTCATGGAATA-1", "iM.data_ATCGGATTCCATTTAC-1", "iM.data_CAAGACTGTAACAGGC-1", "iM.data_TCATGCCTCGGCATCG-1", "iM.data_TTTGACTCAAAGGGTC-1", "iM.data_ATACCGATCGTCAACA-1", "iM.data_TATCTGTTCACCTTAT-1", "iM.data_ATTCACTCAGTTGGTT-1", "iM.data_TGTCAGAGTCCTGAAT-1", "iM.data_TGGCGTGAGAAACTAC-1", "iM.data_GACTATGAGACTCCGC-1", "iM.data_CCCTCAACAGCACGAA-1", "iM.data_TCGAACACACAAATAG-1", "iM.data_CTCAGAAAGTGGTTCT-1", "iM.data_CTCATGCGTCTTCGAA-1", "iM.data_TGGAGAGAGAGCCGTA-1", "iM.data_TATCTGTGTATGATCC-1", "iM.data_TGACAGTTCTTAAGGC-1", "iM.data_CTCCTTTTCCGCTGTT-1", "iM.data_CCTCTAGTCCTTATCA-1", "iM.data_GTTGCTCTCGAGTTGT-1", "iM.data_TGAATGCTCTCTCAAT-1", "iM.data_ACTCTCGAGTAAGAGG-1", "iM.data_CGAAGGAAGTGGCAGT-1", "iM.data_GTTGAACCAAAGGCGT-1", "iM.data_CCCAACTCATGAAGCG-1", "iM.data_CATCCACCATAACAGA-1", "iM.data_TGACAGTTCGCCTATC-1", "iM.data_GACTATGCACACACGC-1", "iM.data_GCCATTCTCACCGACG-1", "iM.data_GAGTTTGTCCATAAGC-1", "iM.data_AGCCAATCATCTCATT-1", "iM.data_ATTCGTTCAAGATCCT-1", "iM.data_GAAATGACAAGCCCAC-1", "iM.data_GACCAATCAATAGTGA-1", "iM.data_GCGTGCAAGCGCGTTC-1", "iM.data_CCTCTAGGTACCATAC-1", "iM.data_AAGACAAAGCAAATGT-1", "iM.data_AGAAGTATCTGGAAGG-1", "iM.data_CCATCACCACATGACT-1", "iM.data_TCATGCCTCATCTATC-1", "iM.data_GTTACGATCACTGTCC-1", "iM.data_CAGCAATAGACCTCCG-1", "iM.data_GGAGATGAGCACGTCC-1", "iM.data_TTCGGTCCAGGACATG-1", "iM.data_CCTAACCGTAGGCAAC-1", "iM.data_CTAGACAGTCTACGAT-1", "iM.data_GGGATGAGTACATACC-1", "iM.data_TGCAGGCCACAGTATC-1", "iM.data_AGTAACCAGTAGACAT-1", "iM.data_ATACTTCAGTCTGGTT-1", "iM.data_GTTATGGCACCGTCTT-1", "iM.data_ACCGTTCTCAGAGTTC-1", "iM.data_CAGCAGCCATCCGATA-1", "iM.data_TCCAGAAGTGACGTCC-1", "iM.data_CCGGTGAGTGCGTTTA-1", "iM.data_GTTGCGGCAATTTCGG-1", "iM.data_TCTGGCTAGCCTCTTC-1", "iM.data_AGGATAACAAGGGCAT-1", "iM.data_ATTTCACTCCCAGGCA-1", "iM.data_TTGAACGCAAACCGGA-1", "iM.data_TCTTTGAGTCCAGTTA-1", "iM.data_GGAATGGCACTTGAAC-1", "iM.data_ATTGGGTGTACAGGTG-1", "iM.data_TACGCTCCAACCCTAA-1", "iM.data_ATGAAAGGTGCCCAGT-1", "iM.data_ACTATTCCACCTGCTT-1", "iM.data_CCACACTCATGAGAAT-1", "iM.data_CTCCACATCTATCGCC-1", "iM.data_CATTCATCATGGGAAC-1", "iM.data_GTCTACCAGCACGTCC-1", "iM.data_ATTGGGTCATAGGTTC-1", "iM.data_TCAGTGATCAGTGGGA-1", "iM.data_GGGTATTAGTGAACAT-1", "iM.data_CAGCCAGAGATGATTG-1", "iM.data_TCACGGGGTATTTCGG-1", "iM.data_GTGGGAACAATTCGTG-1", "iM.data_GAAGCCCTCTGCTAGA-1", "iM.data_ATCACAGAGATTAGTG-1", "iM.data_TCACGGGGTGGTTTAC-1", "iM.data_GAGTTACTCTAGTGTG-1", "iM.data_CAGCACGTCGGCCCAA-1", "iM.data_ACGTAACCACAAGTTC-1", "iM.data_TAATTCCCAAGGTCGA-1", "iM.data_TCCTTTCAGACCACGA-1", "iM.data_TAGGGTTCAAACACGG-1", "iM.data_TGCTGAATCAATCCGA-1", "iM.data_ATTCCCGTCGAACCAT-1", "iM.data_TGGAGAGCACGAGGAT-1", "iM.data_AGATAGACACCGAATT-1", "iM.data_GCATCTCGTCTCGGAC-1", "iM.data_CGTAGTAGTGTAGTGG-1", "iM.data_TAAGCGTGTCTCCCTA-1", "iM.data_TTACAGGTCCGCACGA-1", "iM.data_CCGTTCAAGTTGTAAG-1", "iM.data_AATGACCCAATCTCTT-1", "iM.data_AGGGCCTCATACAGCT-1", "iM.data_CACAACAAGCGACTAG-1", "iM.data_GCGAGAAAGTAAGGGA-1", "iM.data_ATGAGTCCACTCACTC-1", "iM.data_TATTCCAAGGGACACT-1", "iM.data_CTCCGATTCACATCAG-1", "iM.data_ACCCTTGTCGTAACAC-1", "iM.data_GAGGCCTCACCTGAAT-1", "iM.data_GTGAGCCAGTCCCTAA-1", "iM.data_TTACGCCTCTTGGTCC-1", "iM.data_GCCAACGGTGAATAAC-1", "iM.data_GTTAGACTCTCCCTAG-1", "iM.data_GACTCTCAGACTTGTC-1", "iM.data_AGAACCTTCCCATTTA-1", "iM.data_CATTGAGTCCTTCTTC-1", "iM.data_GGAGAACTCCCTCTCC-1", "iM.data_CGAGTGCGTCCACTCT-1", "iM.data_ATCGGCGGTACGGCAA-1", "iM.data_CCACCATTCTTTACAC-1", "iM.data_CTCCCTCTCGCTTTAT-1", "iM.data_TTTGATCCATTCTGTT-1", "iM.data_CCTTCAGAGAACAGGA-1", "iM.data_GCGGAAAAGTATCTGC-1", "iM.data_GGAGAACTCCGTGGCA-1", "iM.data_CATCGCTTCGCTGTCT-1", "iM.data_GAAGCCCTCCTCACTG-1", "iM.data_CGGAGAAGTACTCGTA-1", "iM.data_CATTCCGCACGGTCTG-1", "iM.data_TTTACTGTCGTAGTCA-1", "iM.data_GCACTAACACCATAAC-1", "iM.data_GGTGTCGCAACCGTGC-1", "iM.data_GTTATGGTCACTAGCA-1", "iM.data_CGAGAAGCACGACTAT-1", "iM.data_TTGAGTGCATACCACA-1", "iM.data_TCAGGGCGTATCAAGA-1", "iM.data_GTCATCCCAGTGACCC-1", "iM.data_GTGCAGCTCCCATTCG-1", "iM.data_TCCTCGAAGGGAGGTG-1", "iM.data_AGCCAGCCACATGTTG-1", "iM.data_AGCTTCCAGGTCTGGA-1", "iM.data_TGTACAGAGCACTAAA-1", "iM.data_ATTCCTACAGGCACTC-1", "iM.data_ACCCAAACATGACGAG-1", "iM.data_AAAGTCCAGTGTCATC-1", "iM.data_ATCGCCTTCACGGGCT-1", "iM.data_GTAGTACGTACGGTTT-1", "iM.data_ATTGGGTCAAAGGGCT-1", "iM.data_GTAGATCAGGTCTGGA-1", "iM.data_GGGTGAACACAAAGTA-1", "iM.data_GTCTAGATCAAAGCCT-1", "iM.data_GGGTGTCAGCTGAGCA-1", "iM.data_TCCATGCCATGTGCTA-1", "iM.data_CATTTCAGTACGACTT-1", "iM.data_TCCTCGAAGTTACGAA-1", "iM.data_TTCCACGTCCCTATTA-1", "iM.data_TGCAGTAGTCGAACGA-1", "iM.data_TGATGCACAGTAGTTC-1", "iM.data_TCGGGCAGTCGGCCTA-1", "iM.data_TCTCACGAGAGTAACT-1", "iM.data_CCTCAGTGTTTACTTC-1", "iM.data_TACATTCGTGAACGGT-1", "iM.data_TGGGCTGCAGTTCTAG-1", "iM.data_CCACAAACAACCCGCA-1", "iM.data_CTCTCAGGTCTCACAA-1", "iM.data_AGATCCACAAGTGGAC-1", "iM.data_TGTTGAGCATCTATCT-1", "iM.data_ACCACAACATGACACT-1", "iM.data_AGTGACTTCTACTATC-1", "iM.data_TTGTGTTTCTAGTCAG-1", "iM.data_TCAGCCTAGCTCTTCC-1", "iM.data_TCGTAGACAGCCGTTG-1", "iM.data_GACCCTTCAATTGAGA-1", "iM.data_TCAATTCTCTTTCGAT-1", "iM.data_GTGTAACTCACCATCC-1", "iM.data_ACCCAAACAAATGAAC-1", "iM.data_TCATTCACAACACAGG-1", "iM.data_TCACATTTCCTACAAG-1", "iM.data_ATCCGTCCAAGTTTGC-1", "iM.data_CTGAATGCAGACTGCC-1", "iM.data_CTCAGTCTCCCGAACG-1", "iM.data_CGCATAAGTTCGGCCA-1", "iM.data_GTAACCATCTCCGTGT-1", "iM.data_AAGACTCTCGCTACAA-1", "iM.data_AAGAACAGTCCAAATC-1", "iM.data_TATTCCATCTGGCCTT-1", "iM.data_TTCCGTGGTAACTTCG-1", "iM.data_CGAGTTATCAAGCTTG-1", "iM.data_ACCACAAGTAACACGG-1", "iM.data_TAAGCGTTCTTCGACC-1", "iM.data_GGAATCTTCTAGACAC-1", "iM.data_GTCATGACAACTGGTT-1", "iM.data_AGGAAATGTGGAACAC-1", "iM.data_CGGAGAACATGAAGCG-1", "iM.data_AAGTGAAGTCTAGGTT-1", "iM.data_GAAGGACCAATACGAA-1", "iM.data_GAAGGGTTCCGGTAAT-1", "iM.data_GCACATAAGCTGGCTC-1", "iM.data_GACGCTGCAGAGTCAG-1", "iM.data_TAGGAGGCACCTATCC-1", "iM.data_TCGCACTGTCACGTGC-1", "iM.data_CATCCACCAAATTGGA-1", "iM.data_TTTGTTGGTAAGCTCT-1", "iM.data_CTTCCGACAAATGAGT-1", "iM.data_CGATCGGCATGTACGT-1", "iM.data_ACACAGTGTAGGGTAC-1", "iM.data_ACCAACAAGCCGATCC-1", "iM.data_CAACGATAGTTGTCAC-1", "iM.data_AGGACTTAGACGACTG-1", "iM.data_ATGGTTGGTAACATAG-1", "iM.data_CTATCCGCAAAGCGTG-1", "iM.data_GTGTGGCTCCCAGCGA-1", "iM.data_CAATCGAGTATTTCGG-1", "iM.data_GCAGGCTTCTTTGCAT-1", "iM.data_GCAGGCTTCATTCCTA-1", "iM.data_GAGGGTACACGCGCTA-1", "iM.data_TACGCTCAGGCATGGT-1", "iM.data_GCCAGGTAGAGGTTAT-1", "iM.data_CAGCACGCATAATGCC-1", "iM.data_CAGAGCCAGATGATTG-1", "iM.data_CCTCCAAGTGTATTGC-1", "iM.data_AGATGAATCGAACGGA-1", "iM.data_CCACACTTCTGACCCT-1", "iM.data_AATGCCACATGGCCCA-1", "iM.data_AGCCAGCCAATGACCT-1", "iM.data_CTAACCCCAGAGTCTT-1", "iM.data_CATTCCGTCGGCTTGG-1", "iM.data_AGTACCATCGCTGACG-1", "iM.data_AAGTGAAGTCAAGGCA-1", "iM.data_ATGTCTTGTTCTCACC-1", "iM.data_ACCATTTTCCGTAGTA-1", "iM.data_CAAAGAAGTAGAGACC-1", "iM.data_ACTCCCACACGAAGAC-1", "iM.data_CATTCTAAGAGTCCGA-1", "iM.data_ATCGATGCATTCATCT-1", "iM.data_ATGAGTCCACATATCG-1", "iM.data_CACCGTTAGGACTATA-1", "iM.data_TCGATTTGTGCGAACA-1", "iM.data_ACATCCCTCATCCTGC-1", "iM.data_TTCAGGAGTTGTCATG-1", "iM.data_AGGGTGAGTGGTTCTA-1", "iM.data_CCCTGATAGCCTGGAA-1", "iM.data_AAACGCTTCATGTCTT-1", "iM.data_CCACGTTGTGTGTCGC-1", "iM.data_AACGTCAGTTGCTCGG-1", "iM.data_TTTGATCGTCCTACGG-1", "iM.data_GGGTCACAGCAGGCAT-1", "iM.data_ATTCCATCAGCCTACG-1", "iM.data_TACACCCTCAAGGAGC-1", "iM.data_CCGATGGTCACGTCCT-1", "iM.data_GAAATGAAGCCAAGCA-1", "iM.data_GAAACCTTCCGCCTAT-1", "iM.data_TGAGTCAGTGACTAAA-1", "iM.data_TCAATCTAGTGCACAG-1", "iM.data_CCTACGTTCACTACGA-1", "iM.data_GCCGATGAGGTTCCAT-1", "iM.data_TCACTCGGTCACAGAG-1", "iM.data_TGCGATACAGAACATA-1", "iM.data_CCTCCAAAGTTCTCTT-1", "iM.data_TCCATCGCATAAGCAA-1", "iM.data_TAATTCCGTTGCTCCT-1", "iM.data_AGCCAATGTAAGATTG-1", "iM.data_CGAAGTTTCAGTCATG-1", "iM.data_CTGCATCAGCTGACCC-1", "iM.data_GACTCAACATGTGGCC-1", "iM.data_AATTTCCTCTCACTCG-1", "iM.data_TGTTTGTAGTACAGAT-1", "iM.data_GAGTTGTCAGGGAATC-1", "iM.data_ATGGGTTCACCTCTAC-1", "iM.data_GTAGGTTAGTGGTGGT-1", "iM.data_AACAAAGTCCGGACGT-1", "iM.data_GAGTTACAGAAACCAT-1", "iM.data_TGGGAGATCACCTGGG-1", "iM.data_GTGTTCCGTGCAACGA-1", "iM.data_CATTCTATCGACCACG-1", "iM.data_TTTGGAGCAGCACAAG-1", "iM.data_ATCTCTACAGTTGCGC-1", "iM.data_AGCGCCAGTCCCGTGA-1", "iM.data_GAATCACGTATCCCTC-1", "iM.data_CTACGGGGTTTGTTGG-1", "iM.data_CCACCATAGCGGACAT-1", "iM.data_GATGACTCAAGTCGTT-1", "iM.data_TCCCACACACGCGTCA-1", "iM.data_TGCCGAGGTTGCTGAT-1", "iM.data_TCGATTTAGCTAGTTC-1", "iM.data_CCGGACACATCAGCGC-1", "iM.data_AGACCATCATTGAAGA-1", "iM.data_TACACCCTCTGGGATT-1", "iM.data_TTGGATGCAGCGACAA-1", "iM.data_AGGGTGAAGTAGCAAT-1", "iM.data_CGGTCAGGTTGGTACT-1", "iM.data_GTAATGCTCGGCACTG-1", "iM.data_CGACAGCCACTCCGGA-1", "iM.data_CCACGAGAGTTCCAGT-1", "iM.data_GAGAGGTTCCAAGCCG-1", "iM.data_CTGAGGCAGTCTCTGA-1", "iM.data_ACCTGAAGTAGTGGCA-1", "iM.data_TCCGATCCAGCAGAAC-1", "iM.data_TCAGTCCAGCCTCCAG-1", "iM.data_GATGAGGCAACTGAAA-1", "iM.data_GATGAGGCAAGCGGAT-1", "iM.data_CTGTAGACACGTGTGC-1", "iM.data_TCATCCGGTAGTGATA-1", "iM.data_ATCGTGATCGTCTAAG-1", "iM.data_GCTACAATCCTGCTAC-1", "iM.data_GCTACCTAGTATGGAT-1", "iM.data_ATTCAGGCACCAGCCA-1", "iM.data_ACCCTCATCTTGTGCC-1", "iM.data_ACCACAAGTAACGTTC-1", "iM.data_GGGCTACAGATGGCAC-1", "iM.data_GTCATGACAACCGATT-1", "iM.data_GGTAATCTCGATACGT-1", "iM.data_CAGCACGCAACCGATT-1", "iM.data_AGTAGTCAGAGCAACC-1", "iM.data_ATCCCTGTCGGTCGAC-1", "iM.data_GGGAGATTCTTACCGC-1", "iM.data_TGTAGACGTGACCTGC-1", "iM.data_AATAGAGCACCAATTG-1", "iM.data_CTCCCAAGTCATTGCA-1", "iM.data_ATTACCTAGCATGAAT-1", "iM.data_AGCGTATTCGTGTTCC-1", "iM.data_GTAATCGGTACTGAGG-1", "iM.data_TTCCTAACAACCGATT-1", "iM.data_TGCATCCTCCCTAGGG-1", "iM.data_TTGCCTGAGATGAACT-1", "iM.data_TGGTACAGTCTACATG-1", "iM.data_CCTACGTCATCAGTGT-1", "iM.data_CTTGATTTCGACATAC-1", "iM.data_GGGTCTGAGTAAACAC-1", "iM.data_GCTACCTAGTGCAAAT-1", "iM.data_CGTAGTATCATGCAGT-1", "iM.data_AGGTCATCACTCCACT-1", "iM.data_CAAGAGGTCAAGGACG-1", "iM.data_CATACCCTCTATTCGT-1", "iM.data_TTGGGTAAGGCATCTT-1", "iM.data_GGGTATTAGAGCATCG-1", "iM.data_CTAGGTAAGCTCCACG-1", "iM.data_TATCTGTGTTAGGCTT-1", "iM.data_GATAGCTCACAAATCC-1", "iM.data_AATGACCCAGAGTGTG-1", "iM.data_CCTACGTGTTGTCCCT-1", "iM.data_CAATACGCATTGAAAG-1", "iM.data_TGGCGTGTCTCGTGGG-1", "iM.data_ATAGACCCAGTTTCAG-1", "iM.data_ACCTACCTCTTACGTT-1", "iM.data_TCTACCGTCGCTAATG-1", "iM.data_GAATCACTCTTTCTAG-1", "iM.data_AGACTCAGTTGCCTAA-1", "iM.data_CATCCGTAGGGATCTG-1", "iM.data_TAACGACCATTGGGAG-1", "iM.data_GGGACAAGTCCCAAAT-1", "iM.data_GTAGAGGAGTATGGAT-1", "iM.data_CACAGGCCAGGTCTCG-1", "iM.data_AGTTCGAGTGAATAAC-1", "iM.data_CTCCGATCATTCTTCA-1", "iM.data_TCTCTGGCACAATGAA-1", "iM.data_CCTTCAGGTAGTCTTG-1", "iM.data_TGGTACAAGCGGACAT-1", "iM.data_AGGGTCCGTGTTGCCG-1", "iM.data_TTCCGTGGTGAGCTCC-1", "iM.data_AAACGCTGTGACAGGT-1", "iM.data_ACGTCCTCACTTCCTG-1", "iM.data_GCAACCGTCGGAACTT-1", "iM.data_TATTCCACACACCTTC-1", "iM.data_GCTGGGTTCCCATTCG-1", "iM.data_ACCACAAGTACCACGC-1", "iM.data_CTAACCCGTCTCCCTA-1", "iM.data_ATCGCCTTCGAACACT-1", "iM.data_ATGCGATTCGAGGCAA-1", "iM.data_CGAGTGCTCTTGGTCC-1", "iM.data_TGTACAGAGAGAGGGC-1", "iM.data_CCATAAGTCTTTCTAG-1", "iM.data_TACACCCCAGAGTAAT-1", "iM.data_CTATCTAAGCGGACAT-1", "iM.data_GGGTCTGCAACGGTAG-1", "iM.data_TCATCATCACTGAGGA-1", "iM.data_CCTGTTGAGGGCAGTT-1", "iM.data_ATCGCCTGTGTCCATA-1", "iM.data_AAAGGGCCAACGCCCA-1", "iM.data_AGCCACGAGTCAACAA-1", "iM.data_GCTCAAAAGGTAAGTT-1", "iM.data_CTCAGTCAGGACTAAT-1", "iM.data_CTCAGAACAAGCGAGT-1", "iM.data_AGGCTGCAGGCATTTC-1", "iM.data_GTGTTCCCATCACAGT-1", "iM.data_TCATGGATCGACCATA-1", "iM.data_CATTGAGCATGGCCAC-1", "iM.data_CACGAATCATTCACAG-1", "iM.data_TGTCAGAAGTCTTGGT-1", "iM.data_CCACGAGAGGCACTAG-1", "iM.data_AGATCCAGTACTGTTG-1", "iM.data_TTCCGTGTCCATTGGA-1", "iM.data_ACCTGTCTCGTGCACG-1", "iM.data_AGAGAATCAGTTCACA-1", "iM.data_ATGAGTCCACGACAAG-1", "iM.data_TCAAGTGGTCAACGCC-1", "iM.data_TGCGATACAGACACAG-1", "iM.data_CACTAAGAGAAGTATC-1", "iM.data_CGAGAAGTCTTTCTAG-1", "iM.data_ATCGTCCCAGCACACC-1", "iM.data_GACGCTGCAGGGAATC-1", "iM.data_TGTTCCGGTACGATTC-1", "iM.data_TGGTACATCACTCGAA-1", "iM.data_TAGACCATCACACCGG-1", "iM.data_TCATATCGTATCCCAA-1", "iM.data_CTTCAATTCGAACGGA-1", "iM.data_TCCATGCTCGACATCA-1", "iM.data_GGCTGTGTCACTTTGT-1", "iM.data_AAAGTCCTCGTAATGC-1", "iM.data_CCACACTAGCAACAGC-1", "iM.data_CAGTGCGCATATTCGG-1", "iM.data_AGACCCGTCCTACACC-1", "iM.data_ATTCGTTTCTCACCCA-1", "iM.data_GCAGTTAGTTCCGCGA-1", "iM.data_CCACCATGTCAAGTTC-1", "iM.data_CATAGACAGACGGTCA-1", "iM.data_AGCCACGAGAGGGTCT-1", "iM.data_GCCCAGAAGCCATTTG-1", "iM.data_CAATTTCGTTGCGAAG-1", "iM.data_CGTTAGATCGCCTTGT-1", "iM.data_TTGGGCGGTCTGTAAC-1", "iM.data_GAGTTACGTCTCTCTG-1", "iM.data_TATACCTCAACATCGT-1", "iM.data_GAACACTGTGGAGAAA-1", "iM.data_TCTCCGAAGCCTATTG-1", "iM.data_TATGTTCAGGGTTGCA-1", "iM.data_CACTGAAGTACGTGAG-1", "iM.data_TCAGTGACAGAGGTTG-1", "iM.data_GAGAAATTCGTTCATT-1", "iM.data_TCTCACGTCGGAATGG-1", "iM.data_TTTACGTCAGACGCTC-1", "iM.data_TGACCCTCAGACACAG-1", "iM.data_TATTTCGGTTTACCAG-1", "iM.data_TCTGCCATCAGACTGT-1", "iM.data_ATAGGCTTCATTCGGA-1", "iM.data_TCCTCTTCAGGTCCCA-1", "iM.data_GTGCTGGTCGACGTCG-1", "iM.data_TCAATCTTCGCTGCGA-1", "iM.data_CATTCCGTCGCGTGCA-1", "iM.data_GGGTTATTCAAGCCAT-1", "iM.data_ACCAACAGTGAGCGAT-1", "iM.data_ACATCCCGTGGATCAG-1", "iM.data_TGAGTCAGTCTTCATT-1", "iM.data_TTCGATTAGCGTACAG-1", "iM.data_AATTCCTCAGAGTGAC-1", "iM.data_GGAACCCCAGAGTTCT-1", "iM.data_TCAGTCCTCGTGAGAG-1", "iM.data_CCTTCAGGTCACGCTG-1", "iM.data_CTAGGTAAGACATAAC-1", "iM.data_TGTTCCGCACAGACGA-1", "iM.data_GATCGTAGTCCACGCA-1", "iM.data_CATACTTGTCGCATGC-1", "iM.data_CAACGATTCCGTGGGT-1", "iM.data_GCCCAGAAGCTCGGCT-1", "iM.data_CCCGAAGCAGTTGCGC-1", "iM.data_AAAGTGATCTAGTGAC-1", "iM.data_AGTTCGAGTAATTGGA-1", "iM.data_CATACCCAGAGAACCC-1", "iM.data_AGACAAACAGACAAAT-1", "iM.data_GTTATGGTCTGGACTA-1", "iM.data_ACACCAAGTCCGCAGT-1", "iM.data_TTACCATGTGTAACGG-1", "iM.data_ACACAGTCATTCTCTA-1", "iM.data_TCCTCGACACTGGCGT-1", "iM.data_GGGAAGTGTTCCAGGC-1", "iM.data_GTTGCGGGTCGAAACG-1", "iM.data_TCGAAGTAGTCAACAA-1", "iM.data_TGAGGGATCACTACTT-1", "iM.data_CAGAGCCAGACTCCGC-1", "iM.data_ATGTCTTTCTCGCTCA-1", "iM.data_ACATGCACACTCCACT-1", "iM.data_CCTGTTGTCAAGATAG-1", "iM.data_ATAGGCTTCAATCCGA-1", "iM.data_AGCCAATTCTCCAATT-1", "iM.data_CGGAATTCACATGACT-1", "iM.data_TGGATGTCAGGTTCGC-1", "iM.data_CAATGACGTTGTGTTG-1", "iM.data_GTAAGTCGTCGACTTA-1", "iM.data_CGATCGGGTCACCACG-1", "iM.data_CCATCACTCGATGCAT-1", "iM.data_CGAGAAGAGCAGCCTC-1", "iM.data_AGCTCAAGTAGTCTGT-1", "iM.data_TTGGGATTCCCTCGAT-1", "iM.data_GGGCCATTCGATCCAA-1", "iM.data_GGGACAACACAGTATC-1", "iM.data_CGGAACCTCCACGGAC-1", "iM.data_AGTCTCCTCCTCAGAA-1", "iM.data_GCAACATGTAGGAAAG-1", "iM.data_TTCCTAAGTCTTCATT-1", "iM.data_TCCTAATCAGCAGTTT-1", "iM.data_TCAATTCGTCCTTGTC-1", "iM.data_ACCACAACAGCTGAGA-1", "iM.data_AGGAGGTGTATGAGAT-1", "iM.data_GTAGGTTCAACCCTCT-1", "iM.data_GGTAGAGAGTACGTCT-1", "iM.data_CAGCAATTCAACTTTC-1", "iM.data_GGGTTTAGTGAGGCAT-1", "iM.data_TACTTACCACAGAGCA-1", "iM.data_TATCGCCAGAAGTATC-1", "iM.data_GACCGTGAGGGACAGG-1", "iM.data_CCTTGTGCAGTGTATC-1", "iM.data_TTCGCTGAGAGTTGAT-1", "iM.data_TGGAGGAGTATGGTAA-1", "iM.data_TCTATACTCGACATAC-1", "iM.data_TATCGCCTCTTTGATC-1", "iM.data_CCTCCTCCATAGAGGC-1", "iM.data_GTTGTCCTCCCTCGTA-1", "iM.data_CTCCGATTCTCGTGAA-1", "iM.data_TGCTCCACATACAGAA-1", "iM.data_TTGCTGCTCTCTCAAT-1", "iM.data_GTGAGGATCTATTTCG-1", "iM.data_TCCTCTTGTTCTCCAC-1", "iM.data_CCCTGATAGCGACTTT-1", "iM.data_AGACACTGTGTTCATG-1", "iM.data_AGAACCTCATACCAGT-1", "iM.data_GAGTTGTCACTAACGT-1", "iM.data_TTTCATGCAGCATCTA-1", "iM.data_CCATCACTCTTTCAGT-1", "iM.data_ACTGTCCTCAAGAGGC-1", "iM.data_ACCAACACAGAATGTA-1", "iM.data_TGGATCATCGTTCTGC-1", "iM.data_ATGCCTCCACAGCCTG-1", "iM.data_CATTGAGTCTGCACCT-1", "iM.data_TCAATTCTCCGCACGA-1", "iM.data_AGCCAATTCATTTACC-1", "iM.data_CATCCCAGTTCGTAAC-1", "iM.data_GTCCTCACAGGTGACA-1", "iM.data_TCACGGGCATGGACAG-1", "iM.data_ATACCGACATCTCGTC-1", "iM.data_AGAGCCCTCAAGCTTG-1", "iM.data_TGGCGTGCAAGGGCAT-1", "iM.data_TGTTGGACAAAGGCTG-1", "iM.data_CATACCCCAAGAGTTA-1", "iM.data_CCGGTGAGTATTTCTC-1", "iM.data_TGCTCGTAGCCTCTGG-1", "iM.data_GCCAGGTTCACCTCAC-1", "iM.data_GCTGAATAGAAACTGT-1", "iM.data_AGGGTCCTCTACGGTA-1", "iM.data_AGACACTGTTAGTCGT-1", "iM.data_GTCTCACGTCAACACT-1", "iM.data_CGAGGAACAGAATGTA-1", "iM.data_CTTCAATTCAATGCAC-1", "iM.data_TGGGCGTTCACATTGG-1", "iM.data_CTCCTTTTCCAGTTCC-1", "iM.data_AAAGTGAGTTGTACGT-1", "iM.data_GACGCTGTCCGTTGGG-1", "iM.data_AATGGCTCACAACGAG-1", "iM.data_GCTCAAACAGGGAATC-1", "iM.data_CATTCCGTCGTCGACG-1", "iM.data_GCGGATCGTATTAAGG-1", "iM.data_AGTGTTGCACCTGCAG-1", "iM.data_CTTCTAAAGGCACTAG-1", "iM.data_GCAACATCAAATGGAT-1", "iM.data_TATCTTGTCGGCTTCT-1", "iM.data_TGGCGTGAGTAGAATC-1", "iM.data_TTTATGCGTCATACCA-1", "iM.data_GCAGCCATCACCGGTG-1", "iM.data_ATCATTCTCGGCTTCT-1", "iM.data_CAATGACTCCCGTTCA-1", "iM.data_GGGCTCAAGTTGGGAC-1", "iM.data_TCAGCAAGTGGATGAC-1", "iM.data_TACAACGCATGGCTGC-1", "iM.data_ACGGTTACAGGAGACT-1", "iM.data_GAGTCATTCTTGGAAC-1", "iM.data_TCATCCGCATGAGTAA-1", "iM.data_AGCGATTGTACCTAGT-1", "iM.data_TCGCTCACAAGTGCAG-1", "iM.data_TTGATGGTCCTTATGT-1", "iM.data_AGTCAACAGTTGCCCG-1", "iM.data_CGGAACCGTCACCCTT-1", "iM.data_TTGCATTAGATAGTGT-1", "iM.data_GACATCAGTGTCCGGT-1", "iM.data_GGGTGTCAGCTCCGAC-1", "iM.data_TGATTCTGTAACAGTA-1", "iM.data_GCCAGGTGTTAAGACA-1", "iM.data_CTTGATTCACCTCTAC-1", "iM.data_GCGGAAAGTGCGAACA-1", "iM.data_CATGCTCCAAACCACT-1", "iM.data_TCGGGTGGTTACACTG-1", "iM.data_CACGTTCGTTGTAGCT-1", "iM.data_CAAGGGAGTTGAGAGC-1", "iM.data_TAGACTGCACTTGTCC-1", "iM.data_TCAGTTTAGACCATTC-1", "iM.data_GAGAGGTAGTGATAGT-1", "iM.data_GTTAGACGTACAGCGA-1", "iM.data_ATTCCATTCTGACAGT-1", "iM.data_CATTCATGTTCTCCAC-1", "iM.data_TGTGGCGTCACTCGAA-1", "iM.data_GGGACAAAGAGATCGC-1", "iM.data_CGGGTCACAAACCATC-1", "iM.data_CAGGTATTCGGAAACG-1", "iM.data_CACAACATCCATTGGA-1", "iM.data_GCCAACGCAATAAGGT-1", "iM.data_AGACCCGAGCACCCAC-1", "iM.data_ACATTTCGTATCCCTC-1", "iM.data_CTTGATTCACTATGTG-1", "iM.data_TACAACGTCGAGTGGA-1", "iM.data_GTCCTCACAGACCCGT-1", "iM.data_CATTGTTCAACACAGG-1", "iM.data_ACAGGGAAGCGTCTGC-1", "iM.data_TCTCACGTCTCTGAGA-1", "iM.data_CTGTATTAGTGAACAT-1", "iM.data_ATCACTTTCCAGCCTT-1", "iM.data_AGCCAATGTATTCTCT-1", "iM.data_TGCTTCGGTGGCAGAT-1", "iM.data_CCGGGTAAGGTTGAGC-1", "iM.data_TCCATCGCAATTGCTG-1", "iM.data_TAATTCCAGCCTCTCT-1", "iM.data_TGCTTGCTCGGACCAC-1", "iM.data_TGGATCACAACATCGT-1", "iM.data_TGGTAGTTCCGCACGA-1", "iM.data_CAATTTCAGACCTCCG-1", "iM.data_CACTTCGCATACCAGT-1", "iM.data_TAGACCATCGCACGAC-1", "iM.data_CATCCGTTCAGTAGGG-1", "iM.data_CCACTTGTCTTCTGTA-1", "iM.data_CGCAGGTAGCGTTCAT-1", "iM.data_GGCACGTTCACTCACC-1", "iM.data_ACCCTCAAGACTTAAG-1", "iM.data_ACACAGTCAGCACAGA-1", "iM.data_GACGTTATCTACCACC-1", "iM.data_GTGTAACTCGTGGCTG-1", "iM.data_CGTTCTGTCTACTTCA-1", "iM.data_AGATGCTGTACAGTTC-1", "iM.data_ACTTCGCTCACCTACC-1", "iM.data_CTCTCAGCACACGGTC-1", "iM.data_GGGTCACTCGCAGTTA-1", "iM.data_GGAGCAAAGCCTTTCC-1", "iM.data_ACCTGAATCAGTGATC-1", "iM.data_AGTTAGCCACTTCCTG-1", "iM.data_CCTATCGCAACAAAGT-1", "iM.data_TCCTCCCAGAGATCGC-1", "iM.data_ACCCAAAAGAACTTCC-1", "iM.data_CAAGAGGCAACGGCTC-1", "iM.data_GTAGCTACACTGAGGA-1", "iM.data_TGCATCCTCAGTGTTG-1", "iM.data_CTATCTAGTTTGGAAA-1", "iM.data_CCTCACAGTCCACATA-1", "iM.data_GCACGGTTCGAGCCTG-1", "iM.data_GGGTTTAAGCTAAGTA-1", "iM.data_AAGTACCGTTTCGATG-1", "iM.data_TCGTAGAGTCCCTCAT-1", "iM.data_ACTTAGGAGACAACTA-1", "iM.data_TTGCCTGTCTCACTCG-1", "iM.data_GTAGAGGCACGGCCAT-1", "iM.data_GAGACCCAGGCGTTAG-1", "iM.data_GGGAAGTGTTAAGCAA-1", "iM.data_TTACGCCGTAGCGTCC-1", "iM.data_GCCTGTTTCTCGGTCT-1", "iM.data_CCCAACTAGGCTTAAA-1", "iM.data_AACAACCGTTAAGACA-1", "iM.data_TAGACCAGTGTCGCTG-1", "iM.data_GCAGTTAGTCCACTTC-1", "iM.data_CTCCACAAGCGCTGCT-1", "iM.data_AGGCCACCACGGGTAA-1", "iM.data_ATTACCTAGCGAGTCA-1", "iM.data_GTCATTTAGTTCACTG-1", "iM.data_AAATGGAAGTAAGACT-1", "iM.data_CTTCTAACAAGCGAGT-1", "iM.data_AGCGTATAGTCGTTAC-1", "iM.data_CGACAGCAGGCCTGAA-1", "iM.data_GGATCTACAGATCCTA-1", "iM.data_AAGCATCAGCTTAAGA-1", "iM.data_TAAGCACAGTCCGTCG-1", "iM.data_TAAGCGTCAACTAGAA-1", "iM.data_CGTAGTAAGACCCGCT-1", "iM.data_GTGATGTTCGCATAGT-1", "iM.data_TCAAGTGGTGTTGAGG-1", "iM.data_CTTACCGTCAAGCTTG-1", "iM.data_GCGAGAAGTAGAGGAA-1", "iM.data_TTCCGTGTCCAACCAA-1", "iM.data_CAGTTCCTCCCGAATA-1", "iM.data_TTTGACTTCTTCTAAC-1", "iM.data_TTACAGGAGACATACA-1", "iM.data_ATTTCACGTTGTTGAC-1", "iM.data_AGGCCACTCCGTACGG-1", "iM.data_CAGATACTCCCGAGGT-1", "iM.data_CGTCCATCACGAAGAC-1", "iM.data_ACTTCGCGTATCGCGC-1", "iM.data_CATTCCGCATTAGGAA-1", "iM.data_TTGAGTGGTCCTCAGG-1", "iM.data_TGGTACAGTTCGTGCG-1", "iM.data_AGACTCACATGAAAGT-1", "iM.data_TGGTACAGTTGCAAGG-1", "iM.data_AGGAGGTCAAAGACGC-1", "iM.data_CAATACGAGAAGAACG-1", "iM.data_AATGGAATCCGAGCTG-1", "iM.data_GTACAGTCATCTCGTC-1", "iM.data_GACACGCCATCTAACG-1", "iM.data_CTGTACCAGTCTCGTA-1", "iM.data_TCCCATGAGGGCAGGA-1", "iM.data_ATACCTTCACATAACC-1", "iM.data_GAGTTACTCTCGCTCA-1", "iM.data_TGGGAAGCAAGCACAG-1", "iM.data_CCTCACAGTCCAAATC-1", "iM.data_TAGGGTTTCTCGCTCA-1", "iM.data_ACATGCATCCTCTCGA-1", "iM.data_GAGTTTGTCGATGCAT-1", "iM.data_TTACGCCGTTTCTATC-1", "iM.data_AGGGCCTCACAGACGA-1", "iM.data_CTCATTACAATGTTGC-1", "iM.data_AGTCTCCTCATGCTAG-1", "iM.data_GAGATGGCAGACACAG-1", "iM.data_TCCAGAAGTAGCGTAG-1", "iM.data_CTGGTCTTCCAACTGA-1", "iM.data_ATCAGGTGTGACGTCC-1", "iM.data_GCGATCGCATCATTGG-1", "iM.data_CAGCCAGTCCGTGCGA-1", "iM.data_TGGGTTAGTCCAAAGG-1", "iM.data_CATCGCTAGTAAAGCT-1", "iM.data_GCCCGAAAGAACAGGA-1", "iM.data_CATGGTATCTGCATAG-1", "iM.data_GCACTAATCCATTTCA-1", "iM.data_AAACGAAAGCTAGTTC-1", "iM.data_TTCCTTCCAGACCGCT-1", "iM.data_ACACGCGTCCAAGAGG-1", "iM.data_ACGATGTCAATATCCG-1", "iM.data_CCTAAGATCTGGACCG-1", "iM.data_GGAGGTACATTCTCTA-1", "iM.data_TTGCCTGAGGGTTGCA-1", "iM.data_TCATTACGTGCACAAG-1", "iM.data_GTATTTCAGCCTCTCT-1", "iM.data_GTCCCATTCCAGCAAT-1", "iM.data_GTCAAACAGATACATG-1", "iM.data_GAAGTAACATGACGGA-1", "iM.data_CTTGATTTCGAACGGA-1", "iM.data_ACGGTTAAGGTACATA-1", "iM.data_AGCATCATCCGATAAC-1", "iM.data_CATGGATGTTTGGGTT-1", "iM.data_TACGCTCTCCTTCTGG-1", "iM.data_GTCATCCCAGGTTCGC-1", "iM.data_CTCACTGAGGTGCTGA-1", "iM.data_TGAATCGGTAGGTAGC-1", "iM.data_CACGTGGCAGCCTACG-1", "iM.data_TTACGTTCATCTTCGC-1", "iM.data_TACCCACCAGAGAATT-1", "iM.data_GACCTTCTCATCGTAG-1", "iM.data_GTAATCGCAGACATCT-1", "iM.data_AGTCTCCTCCAGTGCG-1", "iM.data_GCTTGGGCACATTGTG-1", "iM.data_GCTACCTTCACCTCTG-1", "iM.data_GTAGAAAAGGGATCTG-1", "iM.data_GTCATGAAGTCCCGGT-1", "iM.data_TAACACGTCCTATTTG-1", "iM.data_ATCCGTCTCGCTACAA-1", "iM.data_GCTACAACACAGCCAC-1", "iM.data_GTATTTCCATCCTCAC-1", "iM.data_TCTCTGGGTTCCTACC-1", "iM.data_AGAAATGTCCGAGTGC-1", "iM.data_TTCATTGTCATGTCTT-1", "iM.data_CCACGTTCATCGTCCT-1", "iM.data_AGATGAACAATGCAGG-1", "iM.data_ACAGCCGCAGTGAGCA-1", "iM.data_AGTTCCCTCCCATAAG-1", "iM.data_CCGGTAGCAATGTTGC-1", "iM.data_CGGACACGTATTCCTT-1", "iM.data_ACGTAGTTCCACTAGA-1", "iM.data_GGGATCCAGCCTTTGA-1", "iM.data_TATACCTTCCCAACTC-1", "iM.data_GAATCGTCAGGAGGTT-1", "iM.data_GTAATGCGTCCGTACG-1", "iM.data_TACACCCGTGCCGGTT-1", "iM.data_TTCACGCAGCAACAAT-1", "iM.data_AGGGTCCCATGAATCC-1", "iM.data_GTCATGACACCGTACG-1", "iM.data_TACATTCTCGGTGCAC-1", "iM.data_CACTAAGTCCGTAGGC-1", "iM.data_GGGCTACCATCCTATT-1", "iM.data_TCATTACCAACCCTAA-1", "iM.data_TACGGGCAGTATAACG-1", "iM.data_CTGCCTAGTCCTCCAT-1", "iM.data_GTCAAACGTATTTCTC-1", "iM.data_TCAATTCTCGGATAAA-1", "iM.data_CTCCACATCCGTGACG-1", "iM.data_GAGGGTATCGTGGACC-1", "iM.data_CTCATTATCATTCACT-1", "iM.data_TTGAACGAGCTAAACA-1", "iM.data_CAACCAATCTGGGAGA-1", "iM.data_AGAAATGCAATCAAGA-1", "iM.data_CGATGCGAGCGGCTCT-1", "iM.data_CCACACTGTGATTGGG-1", "iM.data_TGTGCGGAGCACCCAC-1", "iM.data_AGTAGTCAGTTGTCAC-1", "iM.data_AACCACACATCAGCAT-1", "iM.data_CGAATTGGTTACGTAC-1", "iM.data_CCGTAGGCAGCGTTGC-1", "iM.data_TCCCACAAGCCTGGAA-1", "iM.data_ACTTTCACATTATGCG-1", "iM.data_AGCTACACATAGAGGC-1", "iM.data_TGGTAGTAGACCTCAT-1", "iM.data_GTCAAACGTTTATGCG-1", "iM.data_TCGCTTGTCGTCCTCA-1", "iM.data_CATTCCGGTATGCTAC-1", "iM.data_GTCCCATGTGATAGTA-1", "iM.data_AAGCGTTTCGCGCTGA-1", "iM.data_CACGTGGCACACACGC-1", "iM.data_CCCTCAACAGTTACCA-1", "iM.data_ATAGACCCAGCTAACT-1", "iM.data_TTCACCGGTTATCTGG-1", "iM.data_ATACTTCTCGAACGCC-1", "iM.data_ATGCATGTCACTACGA-1", "iM.data_ACAGGGAAGCTGTCCG-1", "iM.data_TATATCCAGGTGCCTC-1", "iM.data_CACGTTCGTATTGACC-1", "iM.data_TGACTCCTCTGAATGC-1", "iM.data_TTGGGCGCATACTGTG-1", "iM.data_AAAGGGCGTTCTGAGT-1", "iM.data_TAGGGTTCACTCTAGA-1", "iM.data_ATTCAGGTCTCATGCC-1", "iM.data_GTGTGATCAGTTGCGC-1", "iM.data_TCGCAGGGTTATAGAG-1", "iM.data_AGACAGGAGAGGTGCT-1", "iM.data_TAATCTCGTGGCATCC-1", "iM.data_AAATGGACACTTCTCG-1", "iM.data_CATGCAACATGACGAG-1", "iM.data_TAACGACGTAACACCT-1", "iM.data_GATGATCCAACTGCCG-1", "iM.data_CGGAATTCACTTCAGA-1", "iM.data_GGAATCTGTGGGCTCT-1", "iM.data_TTGACCCAGGCAGGTT-1", "iM.data_TGCAGGCCATAGATGA-1", "iM.data_GATGTTGAGCCTAACT-1", "iM.data_ATGTCCCCATGCCGCA-1", "iM.data_CATCCACGTTGTATGC-1", "iM.data_TCCTTTCCACGCGTGT-1", "iM.data_CGCATAATCAACTGGT-1", "iM.data_GAGGCAAGTCGCAGTC-1", "iM.data_CACGTTCTCGCCTTGT-1", "iM.data_TCATTCAGTTGCTCCT-1", "iM.data_AAGTACCTCATGCCCT-1", "iM.data_TTCAATCCACGTGTGC-1", "iM.data_CCCAACTAGCACACAG-1", "iM.data_TAACGACCATCGCTCT-1", "iM.data_ATCCCTGGTCTCAGGC-1", "iM.data_TCTGCCATCCAGTGTA-1", "iM.data_CGCCATTCATAAGCAA-1", "iM.data_AAGACAAGTATCGCGC-1", "iM.data_TATATCCCAATCCAGT-1", "iM.data_TGCTGAACATCGATCA-1", "iM.data_TGAGGTTCAGCACCCA-1", "iM.data_TTCTTCCTCGCCTATC-1", "iM.data_TTCCTCTTCGAAGCCC-1", "iM.data_TAGTGCATCGCAGTTA-1", "iM.data_TGCTTGCAGGCAATGC-1", "iM.data_ATCGTAGCAAGCAATA-1", "iM.data_CAGATCAGTGATTAGA-1", "iM.data_CTTTCAACACACACGC-1", "iM.data_AAAGGATCAACGGCTC-1", "iM.data_CGAGTTATCGGCCCAA-1", "iM.data_TTGTGGAGTGCCTACG-1", "iM.data_GATTTCTGTTGCACGC-1", "iM.data_GGGCCATTCGTTCATT-1", "iM.data_TGTAAGCTCCCGTAAA-1", "iM.data_TTCCAATGTCGCCTAG-1", "iM.data_TACATTCTCGCACGAC-1", "iM.data_TCATACTGTAGCTTGT-1", "iM.data_TCACATTCATGAATCC-1", "iM.data_TCCTGCATCCGTACGG-1", "iM.data_CATTCATCAAAGGCGT-1", "iM.data_TATCTTGAGCCTGAGA-1", "iM.data_AGAAATGTCAAGCCCG-1", "iM.data_TCACTATTCTGGGCCA-1", "iM.data_GCGTGCAAGACCAGCA-1", "iM.data_ATGAAAGCATGATCTG-1", "iM.data_CATTGTTAGCAACTCT-1", "iM.data_AAGACAAGTATTGGCT-1", "iM.data_CACGTTCAGGTTCATC-1", "iM.data_TGCAGGCTCATCTGTT-1", "iM.data_ATCCACCCAGGCATTT-1", "iM.data_CTCATCGCATTCATCT-1", "iM.data_TTCCACGCACTGAGGA-1", "iM.data_CCGTTCAGTTTGCCGG-1", "iM.data_AGGCTGCTCTCCCATG-1", "iM.data_CATCAAGCAAGGCAAC-1", "iM.data_GTTCTATAGGCACTCC-1", "iM.data_GACTGATTCATGACAC-1", "iM.data_TGACGCGGTCCATCTC-1", "iM.data_GAGTTGTAGACCATTC-1", "iM.data_CTCCATGGTCCACAGC-1", "iM.data_AACCAACAGCTAGCCC-1", "iM.data_TACTGCCAGAAACCCG-1", "iM.data_AGGACGACACTGTGAT-1", "iM.data_TGCCGAGTCTATCGCC-1", "iM.data_AGGTTACTCTGCACCT-1", "iM.data_CATACAGCATAGTCAC-1", "iM.data_AGGGTTTAGGCTTCCG-1", "iM.data_ATGGGAGAGTCTACCA-1", "iM.data_AAGAACAGTGCGAACA-1", "iM.data_AGTGCCGGTTAATGAG-1", "iM.data_CGAGGAACAGCTGCCA-1", "iM.data_CCTCTCCCAACGACTT-1", "iM.data_CAATTTCAGCAATTAG-1", "iM.data_TCAGCCTGTCTGCGCA-1", "iM.data_GCCTGTTCAACGACTT-1", "iM.data_TTGTGGATCCGAAGGA-1", "iM.data_ACTTCCGTCACGATCA-1", "iM.data_GAAGAATAGACCTCAT-1", "iM.data_CTCACTGGTGTCCACG-1", "iM.data_GTAATGCAGGTTGGTG-1", "iM.data_CCACTTGCAACCAATC-1", "iM.data_CATAGACCATACAGCT-1", "iM.data_TACGGGCTCACGGACC-1", "iM.data_ATGGATCCATCGCCTT-1", "iM.data_TCACACCTCTCTCTTC-1", "iM.data_GAATCGTTCAGTCATG-1", "iM.data_CTAAGTGCACGATTCA-1", "iM.data_CTCATCGAGGCTGAAC-1", "iM.data_TCGCAGGTCTCGGTCT-1", "iM.data_TCAAGACTCGGATTAC-1", "iM.data_GCCATTCAGTCACACT-1", "iM.data_GTCCACTTCCAGCTCT-1", "iM.data_CCTCAACAGATTGAGT-1", "iM.data_AAGCGTTAGCAGAAAG-1", "iM.data_AGTGATCTCGTCCATC-1", "iM.data_GACCGTGGTTACGATC-1", "iM.data_TGTTCATAGGTTAAAC-1", "iM.data_CCTAACCCACTGAATC-1", "iM.data_GTAAGTCCAACGACAG-1", "iM.data_TCAAGCACATCATTGG-1", "iM.data_GGGCGTTTCTCTGCTG-1", "iM.data_AATCACGTCCTAAACG-1", "iM.data_TTTCACAGTTGCTTGA-1", "iM.data_TAGACTGCATTGACCA-1", "iM.data_CGAGTTATCAGCTTCC-1", "iM.data_CCCGAAGTCCACCCTA-1", "iM.data_AGACACTAGAACAAGG-1", "iM.data_GTTAGTGCAAGATGGC-1", "iM.data_CACCGTTTCCTAGCCT-1", "iM.data_TATTGCTAGTCTAACC-1", "iM.data_AACGGGAGTACTCGAT-1", "iM.data_CTACTATAGGGTCACA-1", "iM.data_TCTGGCTTCAAGGCTT-1", "iM.data_GTGTCCTCACGTAACT-1", "iM.data_ACTTCGCTCCTCAGAA-1", "iM.data_TAGGTTGGTAGTGGCA-1", "iM.data_TCGGGACTCTAGTGTG-1", "iM.data_CCACACTCAACACAAA-1", "iM.data_TAGACCAGTTAGGACG-1", "iM.data_TAAGCCAAGCTAGAAT-1", "iM.data_GACACGCTCCTCACTG-1", "iM.data_ACATTTCAGCCATTCA-1", "iM.data_TTGTTGTGTAACATGA-1", "iM.data_AACGTCAGTCATCGGC-1", "iM.data_CTACGGGAGTGCGACA-1", "iM.data_GGTGTTAGTCACGACC-1", "iM.data_GTCACTCAGCATATGA-1", "iM.data_ACGTCCTCACCGTGCA-1", "iM.data_GTCACTCCATGTTCGA-1", "iM.data_ACGGTCGAGTGTTCCA-1", "iM.data_ATGAAAGTCCAAGAGG-1", "iM.data_CAATACGAGTTTGAGA-1", "iM.data_CATGCAAAGTATGGCG-1", "iM.data_GGGATCCCAGCTTTCC-1", "iM.data_TATCTGTTCAACCTTT-1", "iM.data_TCAATTCGTGCCGTTG-1", "iM.data_ATCGTAGCAGGCTCTG-1", "iM.data_AATGGCTGTTGCACGC-1", "iM.data_GCCCGAAAGAACCCGA-1", "iM.data_GACCAATTCGCTGTTC-1", "iM.data_TGGGAAGTCACTGTCC-1", "iM.data_ACCCAAAAGGTTACCT-1", "iM.data_ATACCTTTCTACCCAC-1", "iM.data_AGACAAAGTAGACTGG-1", "iM.data_GCTACAAAGGGACCAT-1", "iM.data_TTACGCCCAGAACTCT-1", "iM.data_GTCATGAGTCGATTTG-1", "iM.data_TATTTCGCAAGGCTTT-1", "iM.data_ACTATGGGTGAGTAAT-1", "iM.data_GAGCTGCTCTGCACCT-1", "iM.data_GAATCACGTAGACGGT-1", "iM.data_TTCTTCCAGGCATCTT-1", "iM.data_GGTCACGGTTAAACAG-1", "iM.data_AGTGTTGAGTATTGCC-1", "iM.data_ACCCAAATCACCTTAT-1", "iM.data_TAGCACATCCTTATAC-1", "iM.data_CATGAGTAGCAACCAG-1", "iM.data_TCGAACAAGCCTGCCA-1", "iM.data_GTGTGGCCACGAAAGC-1", "iM.data_AAGCGAGAGATGACCG-1", "iM.data_GAGACCCCATAACGGG-1", "iM.data_CATACCCCAAACACGG-1", "iM.data_TCAGGTACAGCTTTGA-1", "iM.data_TGTCCCACAAAGCTAA-1", "iM.data_TCATTCAGTCATCAGT-1", "iM.data_ACCAAACTCAAACGAA-1", "iM.data_GTTACCCCAGGAGGTT-1", "iM.data_TCTACCGGTTACACAC-1", "iM.data_GGAGATGAGTCAGGGT-1", "iM.data_CAACAACGTCGCATGC-1", "iM.data_TGTCCACCACCGTGAC-1", "iM.data_CCAATGATCACGGAGA-1", "iM.data_TCGAACATCTAGCCAA-1", "iM.data_CATTGAGTCCCTTCCC-1", "iM.data_TATCGCCGTCTACACA-1", "iM.data_CATTCCGGTATGGAAT-1", "iM.data_CTTACCGGTCCTATAG-1", "iM.data_GGGCTCACAACGACTT-1", "iM.data_CTCAGTCCATCGGCCA-1", "iM.data_AAGATAGTCCGGCAGT-1", "iM.data_AGGACTTGTGCAACAG-1", "iM.data_CCTCTCCGTTGCCGAC-1", "iM.data_GCCCAGAGTTCGTACA-1", "iM.data_GTCAAACCAGTATACC-1", "iM.data_CAGCAGCCAGAGTTCT-1", "iM.data_GCAACCGTCCATGATG-1", "iM.data_GGGTGTCTCCAAGCAT-1", "iM.data_GGGTGAACATCTTCGC-1", "iM.data_ATTCCTATCCATAGGT-1", "iM.data_CTCCTCCCATAACAGA-1", "iM.data_ACAGCCGGTCCTGGGT-1", "iM.data_TAGACTGTCATGCCAA-1", "iM.data_TACCCACCACCGGCTA-1", "iM.data_AACAGGGAGCCTGAGA-1", "iM.data_ATGGGAGGTCATGGCC-1", "iM.data_GGGACTCAGCGATTCT-1", "iM.data_CCATCACTCCAGCCTT-1", "iM.data_GTGGAGAGTCTTGAAC-1", "iM.data_GACACGCCACACCTAA-1", "iM.data_CATCCCAAGGACAACC-1", "iM.data_GAAGCGAGTAGCTGCC-1", "iM.data_CACTGTCTCTCATGCC-1", "iM.data_TGTCCACGTGACATCT-1", "iM.data_ATCGTCCCAGACCATT-1", "iM.data_CAGTTCCCAAGTTCCA-1", "iM.data_GACTTCCGTTACACAC-1", "iM.data_TGTCCACGTCAGCTTA-1", "iM.data_GCTACCTGTACATACC-1", "iM.data_ACAACCAAGCCAACCC-1", "iM.data_TCATGCCTCTATTCGT-1", "iM.data_GCTTGGGCAGAAGTTA-1", "iM.data_GCCAGGTCATAGATCC-1", "iM.data_TCCGGGAGTTCACGAT-1", "iM.data_TAACCAGGTGATAGTA-1", "iM.data_CAACGGCAGGAACGAA-1", "iM.data_CCTCTCCGTGCGGTAA-1", "iM.data_GCAGGCTCATGATAGA-1", "iM.data_TAACACGAGTCAGAGC-1", "iM.data_CAGAGCCCAACCGCTG-1", "iM.data_GAAGGACCACCTCAGG-1", "iM.data_GGTTGTATCTCAACCC-1", "iM.data_TCTGCCACAGTTCTAG-1", "iM.data_TTTCACAGTCACTGAT-1", "iM.data_GAATCACTCCTCTCTT-1", "iM.data_AGACCATCACTACTTT-1", "iM.data_TTCTGTACATCGGCCA-1", "iM.data_GAACACTTCCGTAATG-1", "iM.data_TAAGTCGTCCTTCTGG-1", "iM.data_TCGACCTTCTACGCAA-1", "iM.data_CTTGATTTCAAGATAG-1", "iM.data_CCTTCAGTCAGTCACA-1", "iM.data_CAATACGCACTTGTGA-1", "iM.data_CATTGCCCACTGATTG-1", "iM.data_TCAGCCTTCTTCACGC-1", "iM.data_CCGGTGACATCCTTCG-1", "iM.data_AATGACCAGTTCACTG-1", "iM.data_ATGTCTTTCCAATCCC-1", "iM.data_CCACTTGCACAGTACT-1", "iM.data_AGGAGGTTCGTAGGGA-1", "iM.data_CCTCTAGCAACCCTCT-1", "iM.data_GATCAGTGTGCATTAC-1", "iM.data_CTTCTAACACCTCTAC-1", "iM.data_TTTCACATCTCCAAGA-1", "iM.data_ACTTTCACATCCGTGG-1", "iM.data_TCAGTGATCCAATCCC-1", "iM.data_CCCTTAGTCCGATCTC-1", "iM.data_CTCTCAGAGGAACGCT-1", "iM.data_CAAGCTACATAAGCGG-1", "iM.data_TGGATCAAGCATCCCG-1", "iM.data_GCAACCGAGTCGTTAC-1", "iM.data_CAGATACCACATCCCT-1", "iM.data_TCCACCACAGTTCCAA-1", "iM.data_AGTGACTAGCGACTGA-1", "iM.data_CCGTTCACAGCCGTTG-1", "iM.data_ACAAGCTAGTACTGGG-1", "iM.data_CTAGACATCCTTCAGC-1", "iM.data_TCGCTCAAGGGCAATC-1", "iM.data_ACCCAAAGTTCGTAAC-1", "iM.data_CACTGTCCAGAGTTCT-1", "iM.data_TCCACGTTCAGTGATC-1", "iM.data_CATTGAGTCCCGAATA-1", "iM.data_TCCTCGACAGTAACGG-1", "iM.data_AGAGCAGCATAGGCGA-1", "iM.data_CTTCCGAGTCGCAGTC-1", "iM.data_TCATCATCAGTGAGCA-1", "iM.data_AGAGCAGCAGAGGCTA-1", "iM.data_TTACCATCAATGAAAC-1", "iM.data_GGTAACTAGGTTACAA-1", "iM.data_CAATGACAGTATAGAC-1", "iM.data_AGAACAACAGCGGTCT-1", "iM.data_AGGTGTTCAACAGAGC-1", "iM.data_AGACACTCAGCGACCT-1", "iM.data_ACCAACATCGTTCTGC-1", "iM.data_CAGCAATTCCGAGGCT-1", "iM.data_ATTCCTATCTGAACGT-1", "iM.data_AAGTTCGAGTACTGGG-1", "iM.data_ACCTGTCTCCGTGTAA-1", "iM.data_TTACGTTTCAAACGTC-1", "iM.data_AACGAAAAGCTAGTTC-1", "iM.data_ATCCATTTCGACCTAA-1", "iM.data_TCACTATAGAAATGGG-1", "iM.data_CGGGTCATCCCTCTCC-1", "iM.data_AGACAGGGTTATCCAG-1", "iM.data_GAACTGTCAATGTCAC-1", "iM.data_AGGGTGAAGCTTCTAG-1", "iM.data_AGAACAATCCAGTGCG-1", "iM.data_TGGATGTTCTGGTGCG-1", "iM.data_TGCATCCCATCTGGGC-1", "iM.data_TCACACCCAGCTGTTA-1", "iM.data_ACTACGAGTGCAAGAC-1", "iM.data_CTGCAGGAGCTATCCA-1", "iM.data_TGTCAGAGTAGACACG-1", "iM.data_TTCATTGTCAAGAGTA-1", "iM.data_TATTGGGCATACTGTG-1", "iM.data_TACTTACTCCACGTCT-1", "iM.data_AACGGGAAGATCACTC-1", "iM.data_AACAAGACACCTCGTT-1", "iM.data_CTTCCTTTCGAACACT-1", "iM.data_CATCCACCACAAATCC-1", "iM.data_GGAGGTAGTAACCCTA-1", "iM.data_AGGGTGATCACCGCTT-1", "iM.data_CAGGGCTCAACGACTT-1", "iM.data_CGTTAGACATCGGTTA-1", "iM.data_CCACTTGTCCCAATAG-1", "iM.data_CGGGTGTTCTCGTTTA-1", "iM.data_CTGCAGGCAAGCTGCC-1", "iM.data_TCGAACAGTCTCCTGT-1", "iM.data_ATGGGAGCATAGAAAC-1", "iM.data_CAACAACCAAGTTTGC-1", "iM.data_GCAACCGGTGCAACGA-1", "iM.data_CATTGCCCAGGGATAC-1", "iM.data_ACACGCGAGTTCATGC-1", "iM.data_TACGGGCCAACATACC-1", "iM.data_GCGGAAATCTAGCAAC-1", "iM.data_TACACCCTCCATTCAT-1", "iM.data_GCATGATCAAATACGA-1", "iM.data_TCACGGGAGAAACACT-1", "iM.data_TCATTACAGTGCAAAT-1", "iM.data_TGCAGTATCGCTCTAC-1", "iM.data_CCCTCTCAGTCCCAAT-1", "iM.data_CCACACTCATTAAAGG-1", "iM.data_CAACGGCTCTACTGCC-1", "iM.data_GGTAACTAGCCTTCTC-1", "iM.data_CAGCAATGTCGTCATA-1", "iM.data_GTCTGTCTCTGTGCGG-1", "iM.data_TTGTTGTGTCGGAACA-1", "iM.data_CAAGACTTCCAACACA-1", "iM.data_CATGCGGGTCCCGTGA-1", "iM.data_TGCATCCAGGTGGCTA-1", "iM.data_TCCTGCAGTACCCGCA-1", "iM.data_TCTGGCTCAAGTTTGC-1", "iM.data_ATACCGACATCATTGG-1", "iM.data_CTATCCGAGAGCCGAT-1", "iM.data_TCTCAGCCACGGCTAC-1", "iM.data_TGTCCTGCACCTATCC-1", "iM.data_AGAACAACAGTGGCTC-1", "iM.data_GCTCAAAGTGAGACGT-1", "iM.data_ATCCGTCTCGCACGGT-1", "iM.data_CATTTCAAGCATCCCG-1", "iM.data_CGGACACCAGGAACCA-1", "iM.data_AGGGAGTCACAAGGTG-1", "iM.data_GCTGGGTGTTGAGTCT-1", "iM.data_CATTTCATCCACCCTA-1", "iM.data_CTTAGGAGTGAACTAA-1", "iM.data_ACGGTTACACCAGGTC-1", "iM.data_AACCTGAAGTATTCCG-1", "iM.data_CACACAAAGCCGTTAT-1", "iM.data_TAGAGTCAGGACTAAT-1", "iM.data_GTAAGTCAGGAAAGAC-1", "iM.data_CATGCGGAGGATCATA-1", "iM.data_TACCTCGCAACCAATC-1", "iM.data_CACACAAGTTTACGAC-1", "iM.data_ATGGGTTGTCCCGGTA-1", "iM.data_ACTATTCCAAGACGAC-1", "iM.data_AGACACTCACTCATAG-1", "iM.data_GATAGAACATAGACTC-1", "iM.data_CACTAAGTCTGAATCG-1", "iM.data_CAATCGATCAAAGAAC-1", "iM.data_CGGGTCAAGGGCCAAT-1", "iM.data_AATGGAACAATCTCTT-1", "iM.data_TGTCCTGCAAACCGGA-1", "iM.data_GCAACATGTCTATGAC-1", "iM.data_ACGTACATCCTAGAGT-1", "iM.data_CATGCCTGTTTCGACA-1", "iM.data_CTACGGGTCAGACCCG-1", "iM.data_GTAGCTACACAGCTGC-1", "iM.data_CTCCACACAACTCATG-1", "iM.data_ACCACAATCGTCTACC-1", "iM.data_CTGGCAGTCATTCACT-1", "iM.data_CACAACACATCGAGCC-1", "iM.data_GTGGCGTTCAAGAATG-1", "iM.data_AGAGCCCCATCTAGAC-1", "iM.data_GACAGCCAGAAGCCAC-1", "iM.data_GATAGCTTCCGTTTCG-1", "iM.data_TTGCCTGGTCTTCTAT-1", "iM.data_AACAAAGCAATTGCCA-1", "iM.data_AGTTCGAGTTTCAGAC-1", "iM.data_ATGAGTCTCTAACACG-1", "iM.data_CAGGCCATCACCTACC-1", "iM.data_TCCACCAAGGCTCAAG-1", "iM.data_ATGAAAGTCGAAGCAG-1", "iM.data_TCGCTCACACCTATCC-1", "iM.data_CTTCAATGTACAGAAT-1", "iM.data_CGAATTGTCCGCAAAT-1", "iM.data_ATTCAGGCATACACCA-1", "iM.data_CCACGAGGTTCTGACA-1", "iM.data_GTGAGGATCTGGACTA-1", "iM.data_CCACGTTTCCGCGAGT-1", "iM.data_GCATGATTCACTTCTA-1", "iM.data_GGGTTATCATGCGGTC-1", "iM.data_ACATCCCTCTTCCCGA-1", "iM.data_CATGCTCCACTCCCTA-1", "iM.data_AAGACAATCTTCGACC-1", "iM.data_AACGGGAAGGTCGACA-1", "iM.data_CAGGTATGTCATCAGT-1", "iM.data_GCATCTCAGCCTTCTC-1", "iM.data_GAACTGTGTCACATTG-1", "iM.data_AATCACGAGTACCCTA-1", "iM.data_CCGTGAGAGGTTTACC-1", "iM.data_GCTGAATAGACCATGG-1", "iM.data_AACACACAGCCTCTGG-1", "iM.data_TAACGACCACACGTGC-1", "iM.data_GCCGATGGTCTTCAAG-1", "iM.data_TCAAGACCATGGTGGA-1", "iM.data_GACCAATGTACGTTCA-1", "iM.data_TCCTTTCGTATCAGCT-1", "iM.data_CTACGGGCACTGAATC-1", "iM.data_ATAGGCTCAGCAGTTT-1", "iM.data_AAGGTAAGTATACCCA-1", "iM.data_AGGTTGTCAACGACTT-1", "iM.data_CTAACCCTCCATTTAC-1", "iM.data_CAGTTCCGTCTCAGGC-1", "iM.data_AGTCAACGTCCATCTC-1", "iM.data_ACTTATCGTCTCTCAC-1", "iM.data_AAGTACCAGACCAGCA-1", "iM.data_TCCACGTCAGCTGTCG-1", "iM.data_TGCAGGCTCCCAGGCA-1", "iM.data_TCTATACCATTGACCA-1", "iM.data_AAAGTCCTCATCGTAG-1", "iM.data_CCTTGTGGTGCCTAAT-1", "iM.data_ACTTCGCTCTCTCGAC-1", "iM.data_ACCAAACGTCTGCCTT-1", "iM.data_TCCTTCTTCCATACAG-1", "iM.data_ATCGCCTCAGCCCACA-1", "iM.data_ACCACAATCTCCTGCA-1", "iM.data_CAGCACGTCTCTCGAC-1", "iM.data_AGGATAAGTCCACTCT-1", "iM.data_GTACAACCAGCGGTTC-1", "iM.data_GAGGCCTTCGTTCCCA-1", "iM.data_TCTACATTCCCAGGCA-1", "iM.data_AACAACCAGGCCTGAA-1", "iM.data_TAGGTACCAAACTCTG-1", "iM.data_AACCTGACAAGCTACT-1", "iM.data_GGGCTCACAAGCAGGT-1", "iM.data_GGCTGTGAGCGTACAG-1", "iM.data_GAAATGACAGGTCTCG-1", "iM.data_AGACACTCACCTTCGT-1", "iM.data_CGTTAGACATTACTCT-1", "iM.data_CAGTTCCCAGAGAATT-1", "iM.data_CGGAACCAGGTTCATC-1", "iM.data_CGGACACCACTTGAGT-1", "iM.data_AGGTTACGTATTAAGG-1", "iM.data_GCTGAATCATCCAATG-1", "iM.data_TGATCTTCATCAGCTA-1", "iM.data_GGTAACTGTGGTAACG-1", "iM.data_CAGATTGCAGGCATTT-1", "iM.data_AGGAGGTTCTTTGCTA-1", "iM.data_CTCCCAACAGAACGCA-1", "iM.data_CTAACCCGTATCGATC-1", "iM.data_CTAGACAAGACATCAA-1", "iM.data_AGAAATGCACAACGCC-1", "iM.data_TTTGGAGTCGGAAACG-1", "iM.data_ATCACAGTCCATATGG-1", "iM.data_TAACACGGTCAACCAT-1", "iM.data_TGAGCATGTCGCACAC-1", "iM.data_CCTAACCCACTACTTT-1", "iM.data_CACAACATCAAACTGC-1", "iM.data_CCGATGGGTTCAAACC-1", "iM.data_AGGGTGATCACCGGTG-1", "iM.data_GCACATATCTTCACGC-1", "iM.data_TTACCATTCTTCTCAA-1", "iM.data_ACGTACATCACTGCTC-1", "iM.data_TCCTAATTCGCATTAG-1", "iM.data_TAACACGGTTCGAACT-1", "iM.data_TACACCCTCACACCCT-1", "iM.data_GACCTTCTCACTGAAC-1", "iM.data_TACTTCATCTGTAAGC-1", "iM.data_CTCCTCCCAGCTGTAT-1", "d05.data2_TTCTAGTGTAGTAAGT-1", "d05.data2_TCGACCTTCTCCTGTG-1", "d05.data2_CTGAGCGGTCATATGC-1", "d05.data2_CTCCGATCAGTGAGCA-1", "d05.data2_TGTCAGAGTCGTCGGT-1", "d05.data2_GATCATGTCGTGCAGC-1", "d05.data2_GTGGCGTGTGAGCGAT-1", "d05.data2_GTAATCGAGCGCCGTT-1", "d05.data2_TCGTGGGAGAGTCGAC-1", "d05.data2_GTCGTTCTCGCTTAAG-1", "d05.data2_CTCAAGACAGGCATGA-1", "d05.data2_TAACCAGGTCGTACTA-1", "d05.data2_TCGTGCTAGACCTTTG-1", "d05.data2_TTCTAACGTACCGTCG-1", "d05.data2_GTTAGTGTCTTCGACC-1", "d05.data2_AACAACCCAGAGTCAG-1", "d05.data2_TTCATTGAGCGTCAGA-1", "d05.data2_TATCCTAGTCGAGATG-1", "d05.data2_AAGAACACAATTGGTC-1", "d05.data2_ACCCTTGTCTGTCTCG-1", "d05.data2_CTCATGCTCAATCGGT-1", "d05.data2_TACCCGTAGGGCCCTT-1", "d05.data2_TCCGGGAGTTGAATCC-1", "d05.data2_TTGCGTCGTACAAAGT-1", "d05.data2_AGTCATGTCTAGGCCG-1", "d05.data2_TAGATCGTCAGGAACG-1", "d05.data2_CAGAGCCGTCGTTTCC-1", "d05.data2_GTAACACAGTCGAAAT-1", "d05.data2_TTGCATTTCCTCATAT-1", "d05.data2_GTTACAGGTGACCGTC-1", "d05.data2_AACCTGATCAAGTCGT-1", "d05.data2_AGAACAAGTATGGTAA-1", "d05.data2_CCTCTCCCAGTCGGAA-1", "d05.data2_GTGATGTAGAGTGGCT-1", "d05.data2_AGGTCATGTAGAATGT-1", "d05.data2_CGATCGGCAGTGGTGA-1", "d05.data2_ACAGCCGGTGTAGCAG-1", "d05.data2_GTCAAACCAAATCGTC-1", "d05.data2_ACATCGAAGATCGCTT-1", "d05.data2_AAAGGGCGTCGTTGGC-1", "d05.data2_GGGTGTCAGGAGATAG-1", "d05.data2_CTGGCAGTCCGTTGAA-1", "d05.data2_GTGACGCAGCACGGAT-1", "d05.data2_TCGGGACGTGTACGCC-1", "d05.data2_CGAAGGACATGACTAC-1", "d05.data2_TCTGCCAAGCGCCTTG-1", "d05.data2_CGTGTCTCAGGTGTTT-1", "d05.data2_GGAGGATTCGGCTGAC-1", "d05.data2_ACAGGGAGTCGGTGTC-1", "d05.data2_GAACTGTCAGAACTAA-1", "d05.data2_ATTTCTGCATCCGGCA-1", "d05.data2_TCGAACATCAGACCGC-1", "d05.data2_GTGTTAGGTGGATCAG-1", "d05.data2_TGATCTTGTTTACTGG-1", "d05.data2_TCGGGCATCAGCGTCG-1", "d05.data2_ATTTCTGCATTATGCG-1", "d05.data2_TCATCCGAGTGCGTCC-1", "d05.data2_CGTGTCTTCACTTCTA-1", "d05.data2_GTCACTCCACTTTAGG-1", "d05.data2_TCGCAGGGTTGGGTAG-1", "d05.data2_CAAGCTATCGTAGTCA-1", "d05.data2_GTGTTAGTCGGCCAAC-1", "d05.data2_TTCGATTTCTTCGGAA-1", "d05.data2_AGACACTGTCTAGATC-1", "d05.data2_CGTGCTTCAAGAGTTA-1", "d05.data2_GTGAGTTAGTGTTCAC-1", "d05.data2_TCGACCTCAAAGAGTT-1", "d05.data2_CAGTTAGTCGGCTGTG-1", "d05.data2_TATTTCGAGATGGGCT-1", "d05.data2_GGGTTATAGGAAAGAC-1", "d05.data2_TCGTGGGGTAACACCT-1", "d05.data2_TATCTTGCACGTCGGT-1", "d05.data2_GTTACGAAGGGAGTGG-1", "d05.data2_GTCGCGAAGAGAATCT-1", "d05.data2_GTTACGAGTGATTGGG-1", "d05.data2_TCAAGCAGTAGCGTAG-1", "d05.data2_CGTGCTTCAGCTCATA-1", "d05.data2_CTATCTAGTGAATTAG-1", "d05.data2_ATGATCGGTCTGGTTA-1", "d05.data2_AGGTCATAGTATTCCG-1", "d05.data2_GTACAACAGCAAATCA-1", "d05.data2_GTCTACCTCAAGTCGT-1", "d05.data2_CATCGGGGTCAGTTTG-1", "d05.data2_AAAGGATCATGACGAG-1", "d05.data2_TCTATACGTTTAGAGA-1", "d05.data2_CTCCGATAGCCTGAAG-1", "d05.data2_TCGTAGATCAATCTTC-1", "d05.data2_GTAAGTCCAATCGAAA-1", "d05.data2_CTCTCGAGTCGCATCG-1", "d05.data2_CCGGGTAGTGATTAGA-1", "d05.data2_AGGGTCCCACAATGAA-1", "d05.data2_GATCATGTCACCTCAC-1", "d05.data2_GGGAGATAGAGCAGTC-1", "d05.data2_GTGGCGTCATATACCG-1", "d05.data2_TTAGGGTTCGGCATAT-1", "d05.data2_CAAGAGGTCATGCCAA-1", "d05.data2_TTAGTCTGTGACTAAA-1", "d05.data2_CCCATTGGTTCAAGTC-1", "d05.data2_GCTGGGTGTACGGCAA-1", "d05.data2_GAAATGAGTACAATAG-1", "d05.data2_CCCGGAATCTCTGACC-1", "d05.data2_AGTTAGCGTCGCAACC-1", "d05.data2_CGTTGGGGTGACGCCT-1", "d05.data2_CATCGGGGTTCGAACT-1", "d05.data2_TCGGGCAAGGGCAGAG-1", "d05.data2_CTGCAGGGTATGGAGC-1", "d05.data2_GTGTAACTCCGTAGGC-1", "d05.data2_CACAGGCTCGGCTCTT-1", "d05.data2_AGAGAGCTCTGCGTCT-1", "d05.data2_TACCTCGAGTCTAGCT-1", "d05.data2_AGTGTTGGTATGCGGA-1", "d05.data2_TGGGAAGTCTCGCCTA-1", "d05.data2_GTAACACGTTGGGTAG-1", "d05.data2_GTGAGGAAGACTTCGT-1", "d05.data2_CTGGCAGAGGGCAACT-1", "d05.data2_ATTCATCGTGCATGAG-1", "d05.data2_TCGGGTGGTCCACATA-1", "d05.data2_TACTGCCGTCGTATTG-1", "d05.data2_AATGGCTAGGGTTGCA-1", "d05.data2_AGTACTGCAGAGCTAG-1", "d05.data2_CCGTGAGAGCCAGAGT-1", "d05.data2_GTTGAACCATCGTGCG-1", "d05.data2_AGGGTTTAGGAGAGTA-1", "d05.data2_GGTGAAGAGTTGGGAC-1", "d05.data2_TGGAGAGTCGAGAAAT-1", "d05.data2_GGGTGTCCAGTAGAAT-1", "d05.data2_TGGGAAGTCCATCCGT-1", "d05.data2_TACGTCCGTGTGCCTG-1", "d05.data2_TCGACGGAGACAAGCC-1", "d05.data2_TGACGCGAGAGGCTGT-1", "d05.data2_CAGTTAGGTTCGGCGT-1", "d05.data2_ATTCAGGCAAGAATAC-1", "d05.data2_ATTCCTAGTAGCGTTT-1", "d05.data2_CTTCAATGTGTGCTTA-1", "d05.data2_GGGATGAAGTGTACCT-1", "d05.data2_TTACCATTCGAGTGAG-1", "d05.data2_TCAGTCCGTAGCGAGT-1", "d05.data2_GAATAGATCGCGGACT-1", "d05.data2_CATGCGGCAGATGCGA-1", "d05.data2_GTTGTAGCACGTGTGC-1", "d05.data2_GGAAGTGCAGGTCCCA-1", "d05.data2_ATCCTATAGTCGAAAT-1", "d05.data2_GTATTGGTCTGCGAGC-1", "d05.data2_GTCTACCGTATTGCCA-1", "d05.data2_TGGGAGATCGCAACAT-1", "d05.data2_CTGTGAAAGATTGGGC-1", "d05.data2_CGGGTGTTCCGGTAGC-1", "d05.data2_CATTCATTCGCAATTG-1", "d05.data2_GTTACGAAGAGCTGAC-1", "d05.data2_CCACAAAAGTGCGTCC-1", "d05.data2_TGGTGATGTGGCGCTT-1", "d05.data2_TCGAAGTCAGATTAAG-1", "d05.data2_AGTACTGTCATTGAGC-1", "d05.data2_GTGGAAGGTGCCCGTA-1", "d05.data2_ACCTGAACACGTTCGG-1", "d05.data2_AGGGTGAGTTAAGTCC-1", "d05.data2_TGTCAGACAAGAGAGA-1", "d05.data2_GATTGGTAGCGTCAGA-1", "d05.data2_GTAATGCAGTCCTGTA-1", "d05.data2_CACAGATCAGGCACTC-1", "d05.data2_CACGTGGGTATCCCTC-1", "d05.data2_GGGCTACGTGACAGGT-1", "d05.data2_CAGCCAGAGGATACGC-1", "d05.data2_CTTCGGTTCACTAGCA-1", "d05.data2_AGAGCAGAGCTGTCCG-1", "d05.data2_ACTGCAAAGCTAATGA-1", "d05.data2_TTCTGTAGTATGTCCA-1", "d05.data2_CTTCCGAGTGTCCACG-1", "d05.data2_AGAGCCCTCTGCATAG-1", "d05.data2_AAAGGTAAGCAGTCTT-1", "d05.data2_ATTCTACAGAGGACTC-1", "d05.data2_AAGCATCCACTTGTGA-1", "d05.data2_GGAAGTGCAAGGAGTC-1", "d05.data2_ACTTCGCGTCTTCTAT-1", "d05.data2_TATACCTGTGCTGTCG-1", "d05.data2_CTGAATGGTCGCGTCA-1", "d05.data2_TGCTCGTGTCACCACG-1", "d05.data2_CCCTCAATCTTCGATT-1", "d05.data2_TGTAGACAGGCTTTCA-1", "d05.data2_ATGGGTTGTGTCCGGT-1", "d05.data2_CGGGTCATCTTGGATG-1", "d05.data2_ACGATCATCGTCGCTT-1", "d05.data2_GGGACCTAGTAGGATT-1", "d05.data2_GATAGCTAGGGTAGCT-1", "d05.data2_TGGTTAGGTTAGTTCG-1", "d05.data2_TGCGACGAGGATAATC-1", "d05.data2_AGCCACGTCGTAGTGT-1", "d05.data2_GGTCACGCAACCGTGC-1", "d05.data2_CTCAACCGTTCGTACA-1", "d05.data2_CTGTAGAGTCTAACTG-1", "d05.data2_GAGTTGTGTCAGACGA-1", "d05.data2_GAGTGAGCACGCCAGT-1", "d05.data2_AGAAGTAAGAGCATAT-1", "d05.data2_TTGGATGTCGGATTAC-1", "d05.data2_TGGAGAGTCAGACTGT-1", "d05.data2_CATGCTCAGAGCCGTA-1", "d05.data2_CATACAGGTTACAGCT-1", "d05.data2_GAATCGTGTGTCTTGA-1", "d05.data2_TAGAGTCCAGAGAATT-1", "d05.data2_ACTTATCAGACTGAGC-1", "d05.data2_TCGGGACGTCGCATTA-1", "d05.data2_TAGGGTTAGACGCTCC-1", "d05.data2_GTAGATCAGGAAAGGT-1", "d05.data2_GATGTTGAGAGCATCG-1", "d05.data2_ACCCAAAAGTGTGTTC-1", "d05.data2_CAGTTCCCACGAAGAC-1", "d05.data2_GCGATCGGTATGTGTC-1", "d05.data2_GAACTGTAGCGTTCCG-1", "d05.data2_AGCATCACAGGAATAT-1", "d05.data2_CAACGATGTCGTCGGT-1", "d05.data2_GGCAGTCTCAGAGTTC-1", "d05.data2_TTACCGCGTGAGCCAA-1", "d05.data2_TGGGATTCAACCCTAA-1", "d05.data2_TTGGATGTCGTGGTAT-1", "d05.data2_GTTTGGACAATGAGCG-1", "d05.data2_AGGAATATCAAGATAG-1", "d05.data2_AAATGGAAGTGCTCAT-1", "d05.data2_ATCCGTCAGTTCCGTA-1", "d05.data2_ACTATTCCACTAGAGG-1", "d05.data2_GATAGCTAGTACGAGC-1", "d05.data2_CTACGGGGTCGTACTA-1", "d05.data2_TCTTAGTGTACAGGTG-1", "d05.data2_TCATGGATCGGCTTCT-1", "d05.data2_CAATGACGTCTGTCAA-1", "d05.data2_ACGGGTCGTCCTGGTG-1", "d05.data2_CCTATCGGTAGCACAG-1", "d05.data2_TAGGGTTAGCTGCCTG-1", "d05.data2_GTGAGGAGTAGATGTA-1", "d05.data2_TCCATCGGTTCTAACG-1", "d05.data2_ATCATTCAGTACGAGC-1", "d05.data2_ACGTAGTGTATCGCTA-1", "d05.data2_AGAGAATTCGGACAAG-1", "d05.data2_GTTAGTGCAACGTTAC-1", "d05.data2_AACAAAGAGCACTCAT-1", "d05.data2_GGTGGCTAGGAGCTGT-1", "d05.data2_TGGAGAGCAAGGTCGA-1", "d05.data2_CAGCAATTCCCATTTA-1", "d05.data2_ATCGTGATCTGCTAGA-1", "d05.data2_AGTTCGAGTAGGCTCC-1", "d05.data2_CTGTGGGTCATGCCAA-1", "d05.data2_AGAAATGAGAATTGTG-1", "d05.data2_GACCCAGTCGTTGTTT-1", "d05.data2_CATGGTAAGGGTTAAT-1", "d05.data2_GGGTAGAGTTCTTGTT-1", "d05.data2_GTTGCGGCATGGAGAC-1", "d05.data2_CTATCCGAGAATTCAG-1", "d05.data2_GGTAGAGTCCGAGGCT-1", "d05.data2_TGTTCATTCACTTGTT-1", "d05.data2_CAAGAGGTCCGTGACG-1", "d05.data2_GTGCTTCCAAGATGTA-1", "d05.data2_TGACAGTTCTCATAGG-1", "d05.data2_TCCATCGGTGAGACGT-1", "d05.data2_GGGACTCGTAATGTGA-1", "d05.data2_GTTTGGAAGATGTTAG-1", "d05.data2_TTCTTCCCATCGTCCT-1", "d05.data2_TCGTCCAGTACCCAGC-1", "d05.data2_CATGAGTAGTCTTCGA-1", "d05.data2_TAAGCCAGTCGCGTTG-1", "d05.data2_AGCTTCCCAGACTGCC-1", "d05.data2_GGTGATTCAAAGGATT-1", "d05.data2_TTCTTGAGTGTGTCCG-1", "d05.data2_ATGAGGGTCCGTACGG-1", "d05.data2_TAGGGTTTCAAGAGGC-1", "d05.data2_TCCGGGACAAGAGATT-1", "d05.data2_CCTATCGAGGCCTAGA-1", "d05.data2_CCGTTCATCATGCGGC-1", "d05.data2_CAATGACGTGATGAAT-1", "d05.data2_TCAGGTAGTCCTCATC-1", "d05.data2_ATGCCTCGTGGAGGTT-1", "d05.data2_CTCAGGGGTCACGACC-1", "d05.data2_AGAGAGCCATGGAGAC-1", "d05.data2_AGATGCTAGCTGCCAC-1", "d05.data2_CAGGTATTCTAGTACG-1", "d05.data2_AGTAGTCAGAATCGAT-1", "d05.data2_TATTGGGTCACCTGGG-1", "d05.data2_TACAACGAGCCTGAGA-1", "d05.data2_CTGTCGTCAACACGTT-1", "d05.data2_GGGTCTGGTGTGTGGA-1", "d05.data2_GATCACACAGTTAGGG-1", "d05.data2_CGCCAGATCGTCCTTG-1", "d05.data2_TAATTCCGTGGATCAG-1", "d05.data2_CATAAGCAGCGAACTG-1", "d05.data2_TTGCCTGTCGATAACC-1", "d05.data2_CTGAATGGTAAGATTG-1", "d05.data2_TTTGACTCATCGCCTT-1", "d05.data2_ATTTACCAGTTGAATG-1", "d05.data2_GTCATGAAGCATGTTC-1", "d05.data2_CTGTGAATCCACAGCG-1", "d05.data2_GAAATGAGTCGAGCAA-1", "d05.data2_GGTAATCCAATCGTCA-1", "d05.data2_ATAGAGAAGATCCCAT-1", "d05.data2_TAAGCGTCATTCTTCA-1", "d05.data2_GTGTTCCGTGTCTTGA-1", "d05.data2_TGTTTGTTCTCGCTCA-1", "d05.data2_CCCATTGCAAATGGTA-1", "d05.data2_AGTAGTCTCCTATTGT-1", "d05.data2_TGTAACGGTTCGAGCC-1", "d05.data2_AACCTTTAGTACCCTA-1", "d05.data2_GCCAGTGGTAATTAGG-1", "d05.data2_AGGGTTTCAGACCAAG-1", "d05.data2_CGTTGGGGTTTACCTT-1", "d05.data2_ACAACCATCGGATACT-1", "d05.data2_CGAAGTTTCGCCAGAC-1", "d05.data2_AATGACCGTCTGCCTT-1", "d05.data2_TAGGGTTTCGGCTATA-1", "d05.data2_CATACTTTCGCTGTCT-1", "d05.data2_TCATTACTCTGGGAGA-1", "d05.data2_GATAGAATCCCAAGTA-1", "d05.data2_CAGCGTGGTCTGATCA-1", "d05.data2_GGCTTGGTCAGGGTAG-1", "d05.data2_TCTTGCGGTAGTTAGA-1", "d05.data2_ATTCACTCATCATGAC-1", "d05.data2_CAATACGAGAGCAAGA-1", "d05.data2_TGACTCCCAGGAGGTT-1", "d05.data2_GGTGGCTGTCGAACAG-1", "d05.data2_CGGAACCCAGGAAGTC-1", "d05.data2_AGAAATGAGGACTATA-1", "d05.data2_GCACATAGTGGCTAGA-1", "d05.data2_TGTGAGTCAATACAGA-1", "d05.data2_GATTCGAGTCTTACTT-1", "d05.data2_GGGTATTCAGAGTCTT-1", "d05.data2_TTACCATAGGGTTAGC-1", "d05.data2_TGTTTGTGTTACGCCG-1", "d05.data2_ATTCTACGTCAGCGTC-1", "d05.data2_CCTCATGTCGTTGTGA-1", "d05.data2_CGCGTGATCGTAGAGG-1", "d05.data2_TACCCGTTCGTCGGGT-1", "d05.data2_TCAATTCTCAAATAGG-1", "d05.data2_AATCGTGCATCGAACT-1", "d05.data2_CCTTGTGCAGTATTCG-1", "d05.data2_CGTTGGGAGAACTTCC-1", "d05.data2_CCTGTTGCAGCACACC-1", "d05.data2_CAGTGCGGTCCAGTTA-1", "d05.data2_GAGTCTAGTAGATCCT-1", "d05.data2_CATAAGCTCGTAGGGA-1", "d05.data2_CACAGGCTCGTGGGTC-1", "d05.data2_GAATCGTTCAAGGCTT-1", "d05.data2_CCTACGTCAATACGCT-1", "d05.data2_AAATGGAAGGGTGAAA-1", "d05.data2_CCTATCGGTTTCACAG-1", "d05.data2_TTCATTGAGGTCACAG-1", "d05.data2_GTTGTGAAGACTTCCA-1", "d05.data2_GGTTGTATCGTGGAAG-1", "d05.data2_CTGGCAGGTACGATCT-1", "d05.data2_CGTCCATGTTCGATTG-1", "d05.data2_ATTATCCTCGTTAGAC-1", "d05.data2_CGGAGAAAGGTAGATT-1", "d05.data2_TCGCTTGAGACCCGCT-1", "d05.data2_AGCGTATTCGGATAAA-1", "d05.data2_TCGTAGACAGAAGCGT-1", "d05.data2_AGGAATAGTGAGACCA-1", "d05.data2_GTAGGAGTCACTGGGC-1", "d05.data2_CTCATGCAGGTTGGAC-1", "d05.data2_AACGGGAAGTCATACC-1", "d05.data2_CATAGACGTGATGTAA-1", "d05.data2_ACATCCCTCTCTTCAA-1", "d05.data2_TGCTTCGAGCTCGACC-1", "d05.data2_GAGACTTGTGGTCCGT-1", "d05.data2_AGGTAGGTCTTGCAGA-1", "d05.data2_CTTTCAATCAGGGATG-1", "d05.data2_TGATGGTCAGCGATTT-1", "d05.data2_AGTCAACAGACTTAAG-1", "d05.data2_TTCTTGAAGAGGCGTT-1", "d05.data2_GTCATGATCGAAGAAT-1", "d05.data2_CGAGTTAGTACTCGAT-1", "d05.data2_AGATGCTTCATTTGTC-1", "d05.data2_AAGTGAATCTAAGAAG-1", "d05.data2_GGCGTCAGTCGTACAT-1", "d05.data2_TCCACGTCAGTCGCTG-1", "d05.data2_TTGTTGTGTCGTGGTC-1", "d05.data2_CCGATCTCATGGGATG-1", "d05.data2_GGAGCAAGTTACGATC-1", "d05.data2_CTTGATTCATGAGTAA-1", "d05.data2_GATTGGTAGGTGATCG-1", "d05.data2_AGTAACCGTCGATGCC-1", "d05.data2_TACGGGCGTTGGTGTT-1", "d05.data2_TTGTGGAGTGCAAGAC-1", "d05.data2_CATCGCTAGCGACAGT-1", "d05.data2_CTATCTAGTAGACAGC-1", "d05.data2_GTGTGGCGTTCAAACC-1", "d05.data2_TCTTGCGTCCCGAGAC-1", "d05.data2_CTCGAGGGTAGGGAGG-1", "d05.data2_ACGGAAGTCGCCGATG-1", "d05.data2_GCTGAATAGAACAGGA-1", "d05.data2_CGTAATGCAGGCACAA-1", "d05.data2_TGTGAGTCACAGGATG-1", "d05.data2_TTCGGTCAGACTGTTC-1", "d05.data2_TCAGGGCTCCCTGTTG-1", "d05.data2_GTGGAGACAGCGCGTT-1", "d05.data2_GCTCAAAGTCTATGAC-1", "d05.data2_GTCGTAACATTGCTGA-1", "d05.data2_TATCTGTCACTAGGTT-1", "d05.data2_GGAGGATTCTACACAG-1", "d05.data2_GCTTTCGGTATAGGAT-1", "d05.data2_TGGCGTGAGGAGTCTG-1", "d05.data2_TCGGGTGTCCGAAATC-1", "d05.data2_GTTGCTCTCCCAGGCA-1", "d05.data2_TATGTTCAGTGATGGC-1", "d05.data2_GACCAATAGCGGCTCT-1", "d05.data2_GTGTGATGTGCGAACA-1", "d05.data2_GATCCCTAGAGTCGAC-1", "d05.data2_CTCATCGCAAGAGTGC-1", "d05.data2_CCTCACATCGTTGTAG-1", "d05.data2_TGTGTGAAGCGTTCCG-1", "d05.data2_AGCCACGGTCGCTGCA-1", "d05.data2_TAGACCAAGTATGGCG-1", "d05.data2_TGGAACTAGGCGTCCT-1", "d05.data2_GGTCACGGTAAGATTG-1", "d05.data2_CCTATCGCATCTCAAG-1", "d05.data2_CAAGCTAGTGCTCTTC-1", "d05.data2_TTGCTGCAGGCTAGCA-1", "d05.data2_TGGGTTATCCGAAATC-1", "d05.data2_ATGAGGGGTCGCGTTG-1", "d05.data2_AGTGACTAGCGGTATG-1", "d05.data2_GATGTTGAGGGTTAAT-1", "d05.data2_GACTGATCAGAGAAAG-1", "d05.data2_TGCGATAAGCTCGAAG-1", "d05.data2_TGACTCCCAGAGTTGG-1", "d05.data2_GGTTAACAGTTAGAAC-1", "d05.data2_ATGTCCCGTCCTGGTG-1", "d05.data2_AGGGTGAAGCGCCGTT-1", "d05.data2_TAGGTTGAGAGTCAGC-1", "d05.data2_TGAGGAGAGGGTGGGA-1", "d05.data2_TTCTGTATCAGGCGAA-1", "d05.data2_CATTCCGCACAGAGCA-1", "d05.data2_GAGTCATGTCTGTGGC-1", "d05.data2_ACTGTGATCCTACCAC-1", "d05.data2_TGTTTGTAGCAGTACG-1", "d05.data2_ATGGTTGTCAACACGT-1", "d05.data2_ATGGGTTTCATTTCCA-1", "d05.data2_AGGTTGTGTTACTCAG-1", "d05.data2_TAACTTCTCCGATGTA-1", "d05.data2_CAACCTCGTATCGTTG-1", "d05.data2_GTAAGTCAGTAGAATC-1", "d05.data2_AATGAAGTCCATTGCC-1", "d05.data2_AGTCATGCAGAGGAAA-1", "d05.data2_ATCAGGTAGCTGGTGA-1", "d05.data2_AGTTCCCAGCAACTCT-1", "d05.data2_TCCTAATTCAACGAGG-1", "d05.data2_TGCAGATCAGTCTTCC-1", "d05.data2_CCAATTTCACAACGAG-1", "d05.data2_ACACGCGGTGCCGAAA-1", "d05.data2_TTTCCTCAGGAAGAAC-1", "d05.data2_GCTACAAAGTGCACAG-1", "d05.data2_GAGGGTAGTCCACATA-1", "d05.data2_CTAACTTAGCTAAATG-1", "d05.data2_GAGTTTGCAGGTAGTG-1", "d05.data2_TCATACTAGTTGGACG-1", "d05.data2_TTCGATTAGAGTCAAT-1", "d05.data2_GCACTAAAGACCCGCT-1", "d05.data2_GGTGATTAGTAAGGGA-1", "d05.data2_AGAGAATTCGAGTCCG-1", "d05.data2_GGTTAACTCGTGTGAT-1", "d05.data2_CTGCGAGCACTGGCGT-1", "d05.data2_TCTCAGCCACTGGCCA-1", "d05.data2_ATCGTGAAGCGCACAA-1", "d05.data2_ATTCCCGCACAGTCGC-1", "d05.data2_GCCAGCAGTAGCGCTC-1", "d05.data2_TTTGGTTTCTGTAAGC-1", "d05.data2_TTGAGTGGTCACGTGC-1", "d05.data2_TCGCAGGTCTCAACCC-1", "d05.data2_CCTCACAGTTCGAGCC-1", "d05.data2_AGAGAGCTCGCCAGAC-1", "d05.data2_TCCAGAAAGGTCATAA-1", "d05.data2_ATTCTTGTCAAACTGC-1", "d05.data2_GTGAGGAAGAGTGTTA-1", "d05.data2_TGGAACTGTGAGCAGT-1", "d05.data2_TCGGGCACAAGAAATC-1", "d05.data2_TATTGGGCATACCATG-1", "d05.data2_TTTGTTGAGCCTGTCG-1", "d05.data2_CCAAGCGAGTACCATC-1", "d05.data2_GTCGTTCTCAAACCCA-1", "d05.data2_AACCCAAGTCGCAGTC-1", "d05.data2_GCTGGGTAGTAGCCAG-1", "d05.data2_TGGCGTGAGTGGCCTC-1", "d05.data2_TCTAACTGTACCTGTA-1", "d05.data2_CCCATTGTCGCAGAGA-1", "d05.data2_AGAAGTAAGTCATCGT-1", "d05.data2_GATCACATCGGCGATC-1", "d05.data2_TGTTTGTGTTCGGCCA-1", "d05.data2_GACCCAGTCTGGTTGA-1", "d05.data2_CGTAAGTTCACTGAAC-1", "d05.data2_CGTAATGGTCGGCTAC-1", "d05.data2_ACAGAAAAGGTAGGCT-1", "d05.data2_GCACGTGGTGACACGA-1", "d05.data2_ATCTCTAAGGGTTAAT-1", "d05.data2_ATATCCTAGGCCTTGC-1", "d05.data2_AGGAGGTAGTGTTCCA-1", "d05.data2_TCTGGCTCAACACGAG-1", "d05.data2_ACGTAACGTCTTGCTC-1", "d05.data2_AACAAAGAGTTCATCG-1", "d05.data2_ATCCCTGCAAAGCGTG-1", "d05.data2_TGAGGAGGTCCTACGG-1", "d05.data2_CCATAAGGTTGCATGT-1", "d05.data2_CTACCTGGTATCGGTT-1", "d05.data2_TTCCACGTCGACGAGA-1", "d05.data2_AGCGCTGAGCCACTCG-1", "d05.data2_GTGCACGAGACGTCCC-1", "d05.data2_CGAGGAATCACTTGGA-1", "d05.data2_CATCAAGAGTAATTGG-1", "d05.data2_ACGTCCTCAGCTTTCC-1", "d05.data2_GAAATGACAGCCTATA-1", "d05.data2_TTGCTGCGTGGGCTCT-1", "d05.data2_AACAAGACATAAGCAA-1", "d05.data2_ATGAGTCAGTGACACG-1", "d05.data2_TACCTGCGTTGAGGAC-1", "d05.data2_CTTACCGAGTAGCCAG-1", "d05.data2_TAGACCATCCGTGGGT-1", "d05.data2_TTTCGATTCGGAGTGA-1", "d05.data2_AGAGCCCGTATCTCTT-1", "d05.data2_TCGGGCATCGCAAGAG-1", "d05.data2_CCGAACGTCATTACGG-1", "d05.data2_GTGACGCAGTCATACC-1", "d05.data2_TTACTGTTCGCGCTGA-1", "d05.data2_TGTAACGAGGGATCAC-1", "d05.data2_CTTACCGGTCGACTTA-1", "d05.data2_GGAATGGCATGAAGCG-1", "d05.data2_CTTCGGTCAGTAGTGG-1", "d05.data2_AACAAGACAAGAATAC-1", "d05.data2_AGAAATGGTTGTGCAT-1", "d05.data2_TACATTCAGCGAGTAC-1", "d05.data2_TATCTGTGTCCAGCGT-1", "d05.data2_TCGGGTGCATAACCCA-1", "d05.data2_GTTCTATGTGGATACG-1", "d05.data2_TGGGATTTCGCCGAGT-1", "d05.data2_GCTTGGGCATACCATG-1", "d05.data2_TCGGTCTCAAATGATG-1", "d05.data2_TGAGGAGAGGCGAACT-1", "d05.data2_TATCTTGCAGAGTGAC-1", "d05.data2_AGCTACAGTAGGTACG-1", "d05.data2_GTTGCGGAGACATACA-1", "d05.data2_TGGGCGTGTTCTTGCC-1", "d05.data2_AGGTAGGGTAGCACGA-1", "d05.data2_TAAGCCACACACGCCA-1", "d05.data2_GACCAATCATAGGTTC-1", "d05.data2_TTTGGTTGTCGCATCG-1", "d05.data2_CTTGAGAGTCGAGATG-1", "d05.data2_AGTAGTCTCTGTCCGT-1", "d05.data2_ACCTGAACAGCGACCT-1", "d05.data2_GCATGATGTTCCGCGA-1", "d05.data2_CACGTGGAGAGGGTAA-1", "d05.data2_GTCGTTCCAACGTATC-1", "d05.data2_ACTTTGTCACCAAAGG-1", "d05.data2_CTATCCGAGGCATGCA-1", "d05.data2_GCCATGGGTGAATTGA-1", "d05.data2_CACTAAGTCTCTCTTC-1", "d05.data2_GGTTGTACAAAGCTCT-1", "d05.data2_AACCAACTCTCGGTAA-1", "d05.data2_AGGTTGTTCGCGCTGA-1", "d05.data2_GTTACCCGTAATGTGA-1", "d05.data2_CTCAATTCAACGACAG-1", "d05.data2_TCAGTTTTCGGACGTC-1", "d05.data2_CGGTCAGTCAGCTTCC-1", "d05.data2_ACGATCAAGATGCAGC-1", "d05.data2_ATGCGATGTCTCTCCA-1", "d05.data2_TGTGGCGAGGTAATCA-1", "d05.data2_TGCAGGCGTTCTGACA-1", "d05.data2_AGTTCGACAGGTTCAT-1", "d05.data2_GATGGAGTCTTCGTAT-1", "d05.data2_GGAATGGCATTGTCGA-1", "d05.data2_AGGGCCTCAACCAATC-1", "d05.data2_TATACCTGTTGGCCGT-1", "d05.data2_AAGTTCGGTGCACATT-1", "d05.data2_TTCGCTGGTAGTCGTT-1", "d05.data2_ATTCGTTGTGTCCACG-1", "d05.data2_ATCGTGAGTTATTCTC-1", "d05.data2_ACGCACGAGTCACAGG-1", "d05.data2_ACAGGGACATTGTCGA-1", "d05.data2_CGACAGCTCCGCTAGG-1", "d05.data2_AGGTAGGGTGACAGCA-1", "d05.data2_TGACGCGCAGCGTAGA-1", "d05.data2_ACATTTCGTTTGAACC-1", "d05.data2_ACGATCAAGTTCCGGC-1", "d05.data2_TTGTTCACACGCGGTT-1", "d05.data2_TAGACTGAGACCAACG-1", "d05.data2_CCTGCATAGGTCTGGA-1", "d05.data2_GTGGCGTGTGCGGCTT-1", "d05.data2_AATCACGCATTCCTCG-1", "d05.data2_TTGTTTGTCTGTTGGA-1", "d05.data2_ATGGTTGAGCATCAAA-1", "d05.data2_CAGGTATGTCTGTGCG-1", "d05.data2_TCCTTTCTCACATTGG-1", "d05.data2_TACGCTCCACTTACAG-1", "d05.data2_AAAGGTAAGACAACAT-1", "d05.data2_ACTGCAATCGATACAC-1", "d05.data2_GTTACGACATGCACTA-1", "d05.data2_CCTACGTAGCGGATCA-1", "d05.data2_GGCAGTCAGTCTTCCC-1", "d05.data2_ACTATTCGTGCGTTTA-1", "d05.data2_TGCGACGAGACCTTTG-1", "d05.data2_CCTCACAAGGAAACGA-1", "d05.data2_TACCTCGGTGGAGGTT-1", "d05.data2_TCAGTTTGTTGGGACA-1", "d05.data2_AATGAAGAGAGTGTTA-1", "d05.data2_AGTTAGCCAAAGACTA-1", "d05.data2_CTGATCCTCGAAGCAG-1", "d05.data2_TGATCTTGTACGTGAG-1", "d05.data2_GTCATCCCATCGAAGG-1", "d05.data2_GGTAACTCAGGACATG-1", "d05.data2_TTCTTGATCTTCGACC-1", "d05.data2_GTTGCGGAGCTCCACG-1", "d05.data2_GAGTCTAGTCGTTGCG-1", "d05.data2_TGCAGTAGTATATGGA-1", "d05.data2_ACTCTCGAGATTGTGA-1", "d05.data2_TCAGTTTAGCTGACCC-1", "d05.data2_ACCTGAAAGGCCTTCG-1", "d05.data2_CACATGATCACTGGTA-1", "d05.data2_TACCGAAAGAATAGTC-1", "d05.data2_GCTGAATCAGCTGGTC-1", "d05.data2_CATTGAGTCACTTCTA-1", "d05.data2_TCAGCAAAGCTGTGCC-1", "d05.data2_AGCTCAATCAGCCCAG-1", "d05.data2_CAACAGTGTCCTGGGT-1", "d05.data2_GAAGGGTGTCCCTCAT-1", "d05.data2_GCTGGGTGTCGTCATA-1", "d05.data2_TCTTCCTTCTGTGCGG-1", "d05.data2_CCACGTTGTTGGTGTT-1", "d05.data2_CCGTAGGCAGTGTGGA-1", "d05.data2_TGGTAGTTCCCTCGTA-1", "d05.data2_AGGAATAAGCTATCTG-1", "d05.data2_ATTCTTGGTGGTCTAT-1", "d05.data2_GATCCCTGTGAAGCTG-1", "d05.data2_TGCGGCATCTTCGTGC-1", "d05.data2_GAGTTGTTCGAGATGG-1", "d05.data2_CGAGGCTGTGAGCCAA-1", "d05.data2_GATGTTGGTAAGGCTG-1", "d05.data2_CTCAACCAGGTACAGC-1", "d05.data2_CGAGTTAAGCCTCTGG-1", "d05.data2_CATGCAAGTTCGGGTC-1", "d05.data2_TGGCGTGGTTATGACC-1", "d05.data2_CTAGGTAGTATCGTAC-1", "d05.data2_TTCATTGTCGGATAAA-1", "d05.data2_ACAGAAATCCGATAAC-1", "d05.data2_GTAGTACAGCATGATA-1", "d05.data2_TGGGTTACATCGCTAA-1", "d05.data2_CCTCTAGGTGGATTTC-1", "d05.data2_TATTGGGGTCTAGGTT-1", "d05.data2_CGGGACTTCCGTGTCT-1", "d05.data2_CTGTGAAAGTGATGGC-1", "d05.data2_ACTTATCGTCACGTGC-1", "d05.data2_TCTCAGCGTAGCTAAA-1", "d05.data2_CACCAAAAGTTTGTCG-1", "d05.data2_AGCTTCCGTCAATGGG-1", "d05.data2_CATTGTTGTCACAGAG-1", "d05.data2_AGTTAGCTCTATGTGG-1", "d05.data2_ACTCCCACATCCTTCG-1", "d05.data2_ACGGGTCAGGCATCTT-1", "d05.data2_ACCTGAAGTGGACCAA-1", "d05.data2_CGAGAAGGTAGCTTGT-1", "d05.data2_CATTGCCAGGCCTAGA-1", "d05.data2_AATGGAAAGTAGGCCA-1", "d05.data2_TTTACCAAGGTGCAGT-1", "d05.data2_AGATCCATCTCGGTCT-1", "d05.data2_AGCCAGCGTAGTCCTA-1", "d05.data2_TGTCAGACATCCGGCA-1", "d05.data2_GGGATCCCAATGTCAC-1", "d05.data2_GCATCTCGTCTGTGCG-1", "d05.data2_GATGTTGCATATGCGT-1", "d05.data2_GACCTTCAGACTACCT-1", "d05.data2_TCCATCGAGTGGACTG-1", "d05.data2_ATGAGGGTCGAACTCA-1", "d05.data2_TAAGCCAAGACTACGG-1", "d05.data2_TGTGCGGAGTAAATGC-1", "d05.data2_GTCGCGATCCATAGGT-1", "d05.data2_CTGGTCTGTACTCCGG-1", "d05.data2_AGTAACCGTTTGCAGT-1", "d05.data2_AACCTTTCATGCACTA-1", "d05.data2_GAGGGATTCTGCGATA-1", "d05.data2_GTCCACTTCCGTATGA-1", "d05.data2_GGTGTCGCATATACCG-1", "d05.data2_GTTCATTTCAATGTCG-1", "d05.data2_GACCGTGTCTTTGGAG-1", "d05.data2_AGGATAAGTCGATGCC-1", "d05.data2_ACATGCAGTGAGACCA-1", "d05.data2_CGGGTCAGTTGGATCT-1", "d05.data2_TTTCGATGTCAGTCGC-1", "d05.data2_CACTAAGGTTCGTAAC-1", "d05.data2_CGGACACGTTATGACC-1", "d05.data2_TGTAAGCCACAATTCG-1", "d05.data2_GTTAGTGTCTTGGTGA-1", "d05.data2_TTGGTTTTCGAATGCT-1", "d05.data2_CCACCATCATCTGCGG-1", "d05.data2_CAGTTCCCAAATGGAT-1", "d05.data2_GGCTTTCCATATCGGT-1", "d05.data2_TCTGGCTGTAAGCAAT-1", "d05.data2_CTCTCAGTCGGTCACG-1", "d05.data2_GGGACAAAGGTGGTTG-1", "d05.data2_GGAGATGCATCCGTTC-1", "d05.data2_TGCGATACATGTGGTT-1", "d05.data2_CCTCATGGTCCTACGG-1", "d05.data2_GTCATCCGTGTAACGG-1", "d05.data2_AGTGTTGAGAAACTAC-1", "d05.data2_TCAGTTTGTCTGTCCT-1", "d05.data2_CACGTTCGTGTCTTCC-1", "d05.data2_GCAACCGTCGGATTAC-1", "d05.data2_GACAGCCCACGTCATA-1", "d05.data2_TCCCAGTAGGTGCTAG-1", "d05.data2_TTACGTTAGATGGCGT-1", "d05.data2_AGAAATGGTTGTGCCG-1", "d05.data2_CACGTTCAGTCCCGGT-1", "d05.data2_AGGGTCCAGCGACAGT-1", "d05.data2_CATCCGTAGATCGACG-1", "d05.data2_ATGGGAGCAGCCCAGT-1", "d05.data2_TTCATTGGTGAGGATC-1", "d05.data2_TACCTGCCATCACAGT-1", "d05.data2_TGACCCTGTTTACTGG-1", "d05.data2_CGTTGGGGTTCTCAGA-1", "d05.data2_CGAGGAAGTAGTCCTA-1", "d05.data2_CCAATGACACACAGAG-1", "d05.data2_TCAAGTGCAAGGGCAT-1", "d05.data2_GCACATACAACCGCCA-1", "d05.data2_AGTGCCGGTGTCGATT-1", "d05.data2_TCCTTCTTCACCCATC-1", "d05.data2_ATACCTTAGCTGCCTG-1", "d05.data2_TATTTCGTCCACGGGT-1", "d05.data2_ACATTTCCACATACTG-1", "d05.data2_TCGACGGCAGAGAATT-1", "d05.data2_GGGTTTAAGCGTGCCT-1", "d05.data2_TTGTTTGAGAAAGCGA-1", "d05.data2_AGCGCTGCAAGACCGA-1", "d05.data2_TCATTACAGAGTGAAG-1", "d05.data2_CTGAATGTCTCCATAT-1", "d05.data2_TGTTTGTCATTGTCGA-1", "d05.data2_GGGTCTGCAGAGGTTG-1", "d05.data2_GTAAGTCCAAGTTTGC-1", "d05.data2_TTAGGGTAGGCCCAAA-1", "d05.data2_GAGTTACAGTGCAACG-1", "d05.data2_CATAGACCAGAGTAAT-1", "d05.data2_GTTAGACAGATAGTCA-1", "d05.data2_CTGCAGGCAATTGTGC-1", "d05.data2_CACAGATGTTGCACGC-1", "d05.data2_GCTGAATAGTGGAATT-1", "d05.data2_TTTCACACAATCTGCA-1", "d05.data2_TCGCTTGGTAACATAG-1", "d05.data2_GAGTTACTCGGCTATA-1", "d05.data2_CTTGATTCAGAGTCAG-1", "d05.data2_ATGCATGCATATGCGT-1", "d05.data2_GATAGCTAGCTCTTCC-1", "d05.data2_ACATCCCTCAGCTAGT-1", "d05.data2_GCATTAGAGCCGAATG-1", "d05.data2_CACTGTCGTACTGGGA-1", "d05.data2_CTCCAACGTCTTGCTC-1", "d05.data2_CCCTGATTCACCGCTT-1", "d05.data2_TTTGATCGTGCCAAGA-1", "d05.data2_ATTCCATGTGAGCGAT-1", "d05.data2_GTTTACTGTTGTCTAG-1", "d05.data2_CCATCACGTATAATGG-1", "d05.data2_GAGTCTAGTAAGATCA-1", "d05.data2_TCGTCCAAGGCTGGAT-1", "d05.data2_CTGGCAGGTCGCACAC-1", "d05.data2_TTGTTGTCAGTCGTTA-1", "d05.data2_GACGCTGTCTGCCTGT-1", "d05.data2_GAGGGATCAGTCAACT-1", "d05.data2_GCACGTGCAGCCGTTG-1", "d05.data2_CCACTTGTCCAACTAG-1", "d05.data2_GTTCGCTGTTCGAGCC-1", "d05.data2_AACGTCAGTCTAACTG-1", "d05.data2_CTGGTCTGTTGCCTAA-1", "d05.data2_CATTCCGCAATCGAAA-1", "d05.data2_GATTTCTGTCCGGTCA-1", "d05.data2_GCATTAGGTCACAATC-1", "d05.data2_GTCATGAAGAGAATCT-1", "d05.data2_CGAGTTATCTGCGGGT-1", "d05.data2_AGCGTATCAGGTATGG-1", "d05.data2_TAACACGCATCGCTAA-1", "d05.data2_TTGTTCAGTATACCCA-1", "d05.data2_TTTCAGTGTGCATCTA-1", "d05.data2_AGACTCAAGCCATCCG-1", "d05.data2_TTCTCTCTCTTCCCGA-1", "d05.data2_CTCTGGTTCGTAGTCA-1", "d05.data2_ATACCGACAGGGATAC-1", "d05.data2_GCATGATAGATGTAGT-1", "d05.data2_TGCAGATCAATCTAGC-1", "d05.data2_GTTAGTGCACTCAGAT-1", "d05.data2_GGTAGAGAGCCATTTG-1", "d05.data2_TTCTAACTCCGTGACG-1", "d05.data2_CTGCATCCACGTCATA-1", "d05.data2_TGATCAGCACCCAACG-1", "d05.data2_ATCTCTATCCATATGG-1", "d05.data2_AAATGGAGTAATCAGA-1", "d05.data2_TTGCTGCAGATCCGAG-1", "d05.data2_CCTCCAAGTGGCGTAA-1", "d05.data2_GGAATGGTCGGCTGGT-1", "d05.data2_GTCGCGAGTAGCACAG-1", "d05.data2_TACCGAATCATGCAGT-1", "d05.data2_TCCTTTCGTCCATCTC-1", "d05.data2_ATATCCTAGGCTTCCG-1", "d05.data2_GCAACATGTGCTCGTG-1", "d05.data2_CATGCTCTCTCCGAGG-1", "d05.data2_CTCATTAAGACCGTTT-1", "d05.data2_TTGTGGAAGGTAGATT-1", "d05.data2_CTTGATTTCGATACAC-1", "d05.data2_TCGCTTGAGTGCTCGC-1", "d05.data2_CTGTGGGAGCTGTTAC-1", "d05.data2_AGGGTCCCAGAGGAAA-1", "d05.data2_TCCTAATCACGCGTCA-1", "d05.data2_GATGTTGCAACAGATA-1", "d05.data2_CTTACCGCATGATCTG-1", "d05.data2_TACCTCGGTTGGGATG-1", "d05.data2_GTTGCTCTCGACCAAT-1", "d05.data2_TGTTACTTCATCCTGC-1", "d05.data2_CTTTCAATCGGACTGC-1", "d05.data2_TATTCCAAGATGAATC-1", "d05.data2_CCTAACCTCTCCAATT-1", "d05.data2_TGCATGAGTTGGCCTG-1", "d05.data2_AACCAACAGACCTGGA-1", "d05.data2_ATGGGTTGTACTCCGG-1", "d05.data2_CGCCATTCATGAAAGT-1", "d05.data2_TGTCCACAGTAGTGCG-1", "d05.data2_CATTGTTGTTCAGCGC-1", "d05.data2_CAGGGCTAGCGATGAC-1", "d05.data2_TCTAACTGTATATGGA-1", "d05.data2_CCCGGAACAGACCGCT-1", "d05.data2_TTCTCTCAGGTGAGCT-1", "d05.data2_TGCGGCAGTGTCATGT-1", "d05.data2_AATTCCTTCTATCCAT-1", "d05.data2_TGCATGAAGTGTTCAC-1", "d05.data2_TATATCCTCTCATGCC-1", "d05.data2_GTCAAACGTGTAAACA-1", "d05.data2_GATTCTTAGGCTCAAG-1", "d05.data2_CGCGTGATCAGTGTTG-1", "d05.data2_TACAACGCAGAGTCTT-1", "d05.data2_GACCGTGAGAAGCCTG-1", "d05.data2_CCGGACAAGTGCGCTC-1", "d05.data2_CGGGCATGTGATTAGA-1", "d05.data2_GTCATGATCGCCAGTG-1", "d05.data2_ACTGATGGTTGGAGGT-1", "d05.data2_TATTGGGGTTGCTCGG-1", "d05.data2_GCGTGCAAGTCAGCGA-1", "d05.data2_CACCAAACAGCAAGAC-1", "d05.data2_TTCACGCAGATTCGCT-1", "d05.data2_CGGGACTCACACTTAG-1", "d05.data2_GGGACCTGTCGAACGA-1", "d05.data2_CTTACCGCAGCCGGTT-1", "d05.data2_CCTATCGTCAGGGATG-1", "d05.data2_GCGAGAACAGTCGTTA-1", "d05.data2_GTGATGTGTTGGACCC-1", "d05.data2_TCCAGAACAGACTCTA-1", "d05.data2_CTTGAGAGTTCTTAGG-1", "d05.data2_TGTGGCGGTGCAGTGA-1", "d05.data2_TAATTCCCATCGAGCC-1", "d05.data2_AGTGATCGTATGAAAC-1", "d05.data2_GAGTGTTGTGTCCCTT-1", "d05.data2_TCGGATAGTCGTTGGC-1", "d05.data2_TCCACGTTCGGCATCG-1", "d05.data2_TGAATGCCAAAGGCTG-1", "d05.data2_ATCAGGTAGCGTGAAC-1", "d05.data2_CGAAGGAAGTTGAAAC-1", "d05.data2_CCACACTTCACAGTGT-1", "d05.data2_TACACCCTCATACAGC-1", "d05.data2_AGGGTCCCATGACGTT-1", "d05.data2_GGGTAGAAGGTTATAG-1", "d05.data2_GAACACTAGCACCGTC-1", "d05.data2_AGTAACCTCATTCGGA-1", "d05.data2_GATTGGTAGCAGTACG-1", "d05.data2_ATTACTCAGTTCTACG-1", "d05.data2_TCCCATGGTATTTCTC-1", "d05.data2_GCATCTCGTATTCCTT-1", "d05.data2_CCACGTTCAAGCGCTC-1", "d05.data2_TTCTCTCCATAATGCC-1", "d05.data2_TATCTGTCACAGTCAT-1", "d05.data2_CATGAGTAGACGCCAA-1", "d05.data2_GGTAGAGCACTCCTTG-1", "d05.data2_CTGTCGTTCTAGAGCT-1", "d05.data2_CTCAAGAGTAGATCCT-1", "d05.data2_GTATTGGTCATGAGGG-1", "d05.data2_ATTACTCGTACAATAG-1", "d05.data2_ACACTGAGTTGTACGT-1", "d05.data2_ATCGGATTCTGTTCAT-1", "d05.data2_TGTTACTAGCACTCCG-1", "d05.data2_TGTGGCGGTCAGATTC-1", "d05.data2_ATTACCTAGGTATCTC-1", "d05.data2_GGTCTGGTCAGGAGAC-1", "d05.data2_CCGTTCATCACTCGAA-1", "d05.data2_GACTCAATCTTGGGCG-1", "d05.data2_TGATTCTAGGCGACAT-1", "d05.data2_AACACACGTATACCCA-1", "d05.data2_CACGTGGGTTACGCCG-1", "d05.data2_CAATGACCACAAGCTT-1", "d05.data2_CCACAAAAGCATGGGT-1", "d05.data2_CTCCTTTTCAAAGCCT-1", "d05.data2_AAGTTCGGTGAGTCAG-1", "d05.data2_CTAACTTCAGTCAGCC-1", "d05.data2_TCCAGAACATTAGGAA-1", "d05.data2_TGTAACGAGCACTCGC-1", "d05.data2_ATCCACCCATAGGTTC-1", "d05.data2_CAATACGGTCATCGCG-1", "d05.data2_GACTGATAGGACAGCT-1", "d05.data2_CCAATGAAGCCGAATG-1", "d05.data2_GCGAGAAGTAGTGCGA-1", "d05.data2_GTTACGAGTTCCACAA-1", "d05.data2_CGAGTTACAGGTCCGT-1", "d05.data2_CAGAGCCGTAGCACAG-1", "d05.data2_CCTCTAGGTAGGGAGG-1", "d05.data2_CTGGACGGTCAGTCCG-1", "d05.data2_CTCCCTCTCCTTATGT-1", "d05.data2_ATGAGGGTCAGTGGGA-1", "d05.data2_GTCGAATTCCAATCCC-1", "d05.data2_ACGTTCCGTGAGCTCC-1", "d05.data2_AGTACCAAGATCCCAT-1", "d05.data2_TTACTGTCACCTGATA-1", "d05.data2_GATTTCTGTGTGATGG-1", "d05.data2_TCCACCACATCGGTTA-1", "d05.data2_CCACAAATCACTCTTA-1", "d05.data2_GTCTTTAGTTCTATCT-1", "d05.data2_ACTTCGCGTACGCTAT-1", "d05.data2_GTGGAGACACGTAGTT-1", "d05.data2_GCCAGCAAGTGCACTT-1", "d05.data2_ACCTGTCCAGGGATAC-1", "d05.data2_GTTAGACAGTAGGATT-1", "d05.data2_ACGGAAGGTAGGTGCA-1", "d05.data2_AACAGGGAGGACTATA-1", "d05.data2_TAGACTGCACCTTCGT-1", "d05.data2_AGGGCTCAGTCTGCGC-1", "d05.data2_TACTTGTTCCGATCTC-1", "d05.data2_TTTGACTGTATGGAAT-1", "d05.data2_ATAGGCTCAAGTCCCG-1", "d05.data2_TCTTGCGAGGCGAAGG-1", "d05.data2_TCCATGCAGTGCGACA-1", "d05.data2_ACCATTTCAGTTCCAA-1", "d05.data2_GGGTCTGGTCAGTTTG-1", "d05.data2_CTGTGGGTCTGCAGCG-1", "d05.data2_ACGATGTCAGCTCTGG-1", "d05.data2_TGTCCCACATGTACGT-1", "d05.data2_GCTGGGTAGACACACG-1", "d05.data2_ACTATCTGTGCTCCGA-1", "d05.data2_ATTCTTGCAAGTTGGG-1", "d05.data2_TTGCTGCTCGCAGAGA-1", "d05.data2_AGTCATGTCTTCGCTG-1", "d05.data2_CATTGCCTCGCCAATA-1", "d05.data2_CTCACTGGTTCGGCTG-1", "d05.data2_CCTGCATCATCCCGTT-1", "d05.data2_ATTCCCGAGTGACCTT-1", "d05.data2_AGATCCAGTTGCATTG-1", "d05.data2_TCATTCAGTGGAGGTT-1", "d05.data2_ATTACTCCATCCCGTT-1", "d05.data2_TACTTGTTCGTGCGAC-1", "d05.data2_GATCGTACATTGCTTT-1", "d05.data2_ACTGTCCGTTAACCTG-1", "d05.data2_GGCTGTGCAGCGTAGA-1", "d05.data2_TGGGAAGGTCGCGTCA-1", "d05.data2_AACCATGGTTACCTTT-1", "d05.data2_GCGGATCCAGGAGGTT-1", "d05.data2_AATAGAGTCATCCTAT-1", "d05.data2_ACAAGCTAGGAGGTTC-1", "d05.data2_TTGACCCTCATGGGAG-1", "d05.data2_CCATAAGAGGCATCGA-1", "d05.data2_GGCACGTAGTCAAGCG-1", "d05.data2_GCTACAACAGTCAGCC-1", "d05.data2_ACCCTTGGTGATAGAT-1", "d05.data2_GAAATGATCTCCACTG-1", "d05.data2_TGTTGGAAGAGTCACG-1", "d05.data2_GATAGCTTCTACGGGC-1", "d05.data2_CCTCACACAATAGTAG-1", "d05.data2_AAACGCTCAACGAGGT-1", "d05.data2_GGTTGTATCAACCTTT-1", "d05.data2_CAATGACCACGACGTC-1", "d05.data2_TGCTTGCGTCATATGC-1", "d05.data2_GTGTGGCTCGTTAGTG-1", "d05.data2_ATGGTTGAGTAGTCCT-1", "d05.data2_GATTGGTAGGTCTGGA-1", "d05.data2_AGGGCCTGTCCGGATC-1", "d05.data2_CTGTGGGAGCTCGTGC-1", "d05.data2_AGCGCCAAGGAGTCTG-1", "d05.data2_CAACGGCTCTTGTGCC-1", "d05.data2_TATGTTCGTGGCACTC-1", "d05.data2_GAGAGGTCACAAATGA-1", "d05.data2_TCGACCTTCCGTAATG-1", "d05.data2_AGACAGGCACTCATAG-1", "d05.data2_TAACTTCCAACGCCCA-1", "d05.data2_TGGGCTGAGGGCGAAG-1", "d05.data2_ATGGAGGCACGTGAGA-1", "d05.data2_AAACGAAGTGACACGA-1", "d05.data2_ATGGTTGCAACGGTAG-1", "d05.data2_TCCGATCCACAGTCCG-1", "d05.data2_TAGGAGGCACTTCATT-1", "d05.data2_TGCGACGAGTCTTCGA-1", "d05.data2_GTAAGTCAGCGACTGA-1", "d05.data2_AGATCGTAGCACCGAA-1", "d05.data2_TTGCGTCCAGCATGCC-1", "d05.data2_TTGCGTCTCCGTTGAA-1", "d05.data2_TCATTTGCAGTCGCTG-1", "d05.data2_CGCGTGAGTTCGAAGG-1", "d05.data2_CTAAGTGTCCAACTGA-1", "d05.data2_TTGTTGTAGTTAGTGA-1", "d05.data2_GAGGGATTCGTTCCCA-1", "d05.data2_TGTTCTAAGCACCGTC-1", "d05.data2_TGGGCTGGTTGCTCAA-1", "d05.data2_TGCATCCGTTGACGGA-1", "d05.data2_GAGACCCTCCACTAGA-1", "d05.data2_ATCCCTGAGGCACCAA-1", "d05.data2_CTGTCGTCATGGGAAC-1", "d05.data2_GGGTATTAGCACCCAC-1", "d05.data2_TCATTCAGTCAACCTA-1", "d05.data2_AGGTCTACATACAGGG-1", "d05.data2_ATGGGTTCAAGATCCT-1", "d05.data2_CCTCAGTCAACAGCTT-1", "d05.data2_TGGGTTAGTAACTTCG-1", "d05.data2_ACCGTTCCATGGGATG-1", "d05.data2_TTCCAATGTCTAACGT-1", "d05.data2_TGGTTAGCAGGCTATT-1", "d05.data2_CACGTGGAGTACTGTC-1", "d05.data2_TCGCTCAGTATGTGTC-1", "d05.data2_CTCATTAGTAGTGGCA-1", "d05.data2_TTTCGATAGGCAGCTA-1", "d05.data2_ATGAAAGTCCCAAGTA-1", "d05.data2_AATCGACTCCACGTCT-1", "d05.data2_ACATCCCGTGGATCGA-1", "d05.data2_GTTCTATTCGCTGCGA-1", "d05.data2_TCGTCCAAGTGAGGCT-1", "d05.data2_TACGGTATCCGGCAGT-1", "d05.data2_CAGATCAGTATGTCTG-1", "d05.data2_CGTGAATGTCGTTATG-1", "d05.data2_GAATCACGTGATACCT-1", "d05.data2_GGTGATTAGCCATATC-1", "d05.data2_AGGCCACAGCCATGCC-1", "d05.data2_ATTGTTCCAGACACAG-1", "d05.data2_CAGTTCCTCTCTTCAA-1", "d05.data2_TCAGGGCGTAAGACCG-1", "d05.data2_GTTGAACCACCAGACC-1", "d05.data2_GTTCTATAGTAATACG-1", "d05.data2_CCACACTGTCGTTATG-1", "d05.data2_GAGTGAGTCAGAGTGG-1", "d05.data2_GGCTTTCCACCAGTTA-1", "d05.data2_AAGTCGTCAGGTTCAT-1", "d05.data2_AAAGGATAGCCTGTCG-1", "d05.data2_TTCCGGTAGGACGCTA-1", "d05.data2_AGGACGATCATTCGGA-1", "d05.data2_AGGATAACATGGAGAC-1", "d05.data2_CAGTGCGCATCTATCT-1", "d05.data2_TGGGATTTCGGCCCAA-1", "d05.data2_TATACCTCACAAACGG-1", "d05.data2_CAACGATCACATGGTT-1", "d05.data2_GGAGCAAAGCCATTCA-1", "d05.data2_CCTCTCCTCGGCGATC-1", "d05.data2_TTTAGTCTCGGCCAAC-1", "d05.data2_TTAGGCAGTTCTAAGC-1", "d05.data2_ATTTCTGGTTATGACC-1", "d05.data2_ACCTGTCGTCGTTGGC-1", "d05.data2_CCTGTTGGTTCGTAAC-1", "d05.data2_GAGCCTGTCTACCAGA-1", "d05.data2_AACGTCAAGTCGGCCT-1", "d05.data2_AGGATAATCCATCACC-1", "d05.data2_CAGCAATTCATGCCCT-1", "d05.data2_GTAGATCAGCGGACAT-1", "d05.data2_ATCCGTCTCGAAGCAG-1", "d05.data2_TTTGGTTTCCCATACC-1", "d05.data2_ACGTTCCGTACATTGC-1", "d05.data2_GTAAGTCCACCCTCTA-1", "d05.data2_GATGACTTCCATACAG-1", "d05.data2_CCACACTTCTCCGTGT-1", "d05.data2_ATTTACCTCGCCTATC-1", "d05.data2_TGGGATTAGGCTTAGG-1", "d05.data2_TTCTAACAGATCGCTT-1", "d05.data2_GTGTTAGTCACGATCA-1", "d05.data2_CCAAGCGGTAACAGGC-1", "d05.data2_GCCAGCAGTGTGTCCG-1", "d05.data2_CTACCCATCGGCTGTG-1", "d05.data2_ACTATCTTCATGAGTC-1", "d05.data2_ACTTTCATCAATCAGC-1", "d05.data2_CAACGGCCAATGGCCC-1", "d05.data2_CAAAGAAGTCTAGGTT-1", "d05.data2_CTTCCGAAGGTTCAGG-1", "d05.data2_CCATCACCAACATACC-1", "d05.data2_TAACGACAGGACTGGT-1", "d05.data2_GCGTGCATCGCGGACT-1", "d05.data2_CTCATTAAGAGGCGTT-1", "d05.data2_ATGAGGGGTTAGGGTG-1", "d05.data2_TTGATGGCAGGCGAAT-1", "d05.data2_GATTCGATCTTACCGC-1", "d05.data2_CCCTAACTCTTCCGTG-1", "d05.data2_TCGGTCTTCCGATCGG-1", "d05.data2_CTCCGATTCGGAAGGT-1", "d05.data2_CAACGGCAGCACCAGA-1", "d05.data2_TTCTGTAAGAAATGGG-1", "d05.data2_TTTGGTTCAGTCTCTC-1", "d05.data2_CAAGGGATCGCCAACG-1", "d05.data2_AGAGCAGCAAACTAGA-1", "d05.data2_CGTTGGGTCTATCGGA-1", "d05.data2_ACTGCAACAGGTCTCG-1", "d05.data2_CGAGGAACAGAGGGTT-1", "d05.data2_CATGAGTGTCTCTCAC-1", "d05.data2_CAGTGCGCAGCGATTT-1", "d05.data2_CTCCGATTCTGTAAGC-1", "d05.data2_TGAACGTGTAATGCTC-1", "d05.data2_AAACGCTGTTAGAGAT-1", "d05.data2_AGTACCACAGTGTGGA-1", "d05.data2_GTCACGGCATCTTTCA-1", "d05.data2_CTGTATTTCCGTTTCG-1", "d05.data2_CTACCCAGTTTCGTTT-1", "d05.data2_AAAGGGCCACAGTGAG-1", "d05.data2_CAGATACGTGTGCTTA-1", "d05.data2_GAGATGGGTCCAAATC-1", "d05.data2_GCGAGAAGTACCCGCA-1", "d05.data2_GATTTCTTCCCAGTGG-1", "d05.data2_CACATGAAGATCGGTG-1", "d05.data2_AGGGAGTCAACTTCTT-1", "d05.data2_GTAGGTTAGCGACTGA-1", "d05.data2_AGTAACCTCCTCACGT-1", "d05.data2_GACAGCCGTAACATGA-1", "d05.data2_CAAAGAATCAGCGTCG-1", "d05.data2_GGGTGTCAGGATTTGA-1", "d05.data2_TTCGATTGTACCCACG-1", "d05.data2_ATTCCTAAGGCACGAT-1", "d05.data2_TCGGATAGTCGCCACA-1", "d05.data2_GTCACGGAGTGACACG-1", "d05.data2_TCACGGGTCGTTATCT-1", "d05.data2_TGGAGGATCACCTGTC-1", "d05.data2_CCTTGTGAGTGATAAC-1", "d05.data2_CGGGCATTCGGCTGGT-1", "d05.data2_GCCAGTGAGCGGGTAT-1", "d05.data2_TCATACTAGTGGTCAG-1", "d05.data2_ACCCTTGGTGGATTTC-1", "d05.data2_GTGACGCGTTGGTGTT-1", "d05.data2_TACAACGAGTATTGCC-1", "d05.data2_CCATCACTCGCCTAGG-1", "d05.data2_TCACTATAGAGCCCAA-1", "d05.data2_GCGGATCCATAGATCC-1", "d05.data2_TGTGAGTAGGCACAAC-1", "d05.data2_TTGCATTTCTCTCTAA-1", "d05.data2_CTTAGGATCCATTTGT-1", "d05.data2_TAAGCCATCATGTCTT-1", "d05.data2_GAATCGTCAGTTGGTT-1", "d05.data2_GACACGCTCATCCCGT-1", "d05.data2_ACCCTCAAGGAACGTC-1", "d05.data2_ACCTACCGTAATCAAG-1", "d05.data2_TCGGGCATCGATCCAA-1", "d05.data2_TCACACCTCAACCTTT-1", "d05.data2_GAACACTTCTGACCCT-1", "d05.data2_TGAGCGCTCCGAACGC-1", "d05.data2_GAACTGTCACTTCAAG-1", "d05.data2_CTAACTTGTGCATTAC-1", "d05.data2_TGTTCATCATGTTACG-1", "d05.data2_TCATTACAGGCGAAGG-1", "d05.data2_CTGCCTATCGTCCATC-1", "d05.data2_CATAAGCTCTCCCATG-1", "d05.data2_ATTTCACTCCGATAGT-1", "d05.data2_CCACGTTGTGAGGAAA-1", "d05.data2_AGCTTCCAGTATGACA-1", "d05.data2_GGGACTCTCAGTAGGG-1", "d05.data2_TTACCGCGTAGCGCCT-1", "d05.data2_ATCACTTCACTGGACC-1", "d05.data2_CTCAAGAAGGTTTACC-1", "d05.data2_TACGTCCTCAACGTGT-1", "d05.data2_TGGAACTGTGCGTTTA-1", "d05.data2_CCTGTTGAGTGATAAC-1", "d05.data2_ACCATTTGTACCCGAC-1", "d05.data2_TTTCACAGTGGCTGAA-1", "d05.data2_CACATGAGTCATCAGT-1", "d05.data2_TGCTTCGGTCCACAGC-1", "d05.data2_CTGCCTACAACAAGTA-1", "d05.data2_TTTCATGAGGGCTTCC-1", "d05.data2_CTAACTTGTACGCTTA-1", "d05.data2_ATGCATGAGCATGCAG-1", "d05.data2_CGCATAATCCAGTTCC-1", "d05.data2_GTGTGATCATTGGGAG-1", "d05.data2_GAGCCTGAGTGAACAT-1", "d05.data2_AACGTCAGTTCAAGTC-1", "d05.data2_AGCGCTGCAGAGTGAC-1", "d05.data2_AAACGAATCACCTCGT-1", "d05.data2_TAGCACAAGACTACGG-1", "d05.data2_CTCCCTCCAATTGGTC-1", "d05.data2_CATGCCTTCCCATTCG-1", "d05.data2_CTGTATTCAGTCGCTG-1", "d05.data2_CATGGATAGGTAGCCA-1", "d05.data2_AGTAACCTCCACTTTA-1", "d05.data2_AACCTTTTCGTGGGAA-1", "d05.data2_GTTGCTCAGGCATCGA-1", "d05.data2_AAGACAATCAACGTGT-1", "d05.data2_TACCTCGAGTTGTCGT-1", "d05.data2_GTGTAACAGAATCGAT-1", "d05.data2_CCGTTCACATGACAAA-1", "d05.data2_TGTCCTGCATCGATAC-1", "d05.data2_ATGCATGTCCCTCAAC-1", "d05.data2_GCCAGTGTCTGCGGGT-1", "d05.data2_TATTGCTCACCTGCAG-1", "d05.data2_TGCAGTATCGAGTCCG-1", "d05.data2_TTGTTCATCTGCATAG-1", "d05.data2_TGCACGGAGCTCACTA-1", "d05.data2_ATGGTTGTCATCTGTT-1", "d05.data2_CATTTCAGTGCCTACG-1", "d05.data2_AGACAAACACTTGTGA-1", "d05.data2_ACAAAGAGTGATAGTA-1", "d05.data2_CACAACAAGCCTCAAT-1", "d05.data2_GCCGATGCAACTCCAA-1", "d05.data2_AATCGACAGGTCCCTG-1", "d05.data2_TACGTCCGTCAGTCTA-1", "d05.data2_AGGAATAGTCACTTCC-1", "d05.data2_GTTGCGGGTCCTGTTC-1", "d05.data2_CGATGCGCATTCTTCA-1", "d05.data2_TGTAAGCAGAATTGTG-1", "d05.data2_TTCTGTATCGGCATTA-1", "d05.data2_TCACATTTCTTTGCAT-1", "d05.data2_AGACCCGCAAGGATGC-1", "d05.data2_AGTCACAGTGTCTTGA-1", "d05.data2_TGGGCTGAGCTAGAGC-1", "d05.data2_TCAGTGATCCCGAGAC-1", "d05.data2_GTTGTGAAGCGTTACT-1", "d05.data2_GGCTTTCAGCCACCGT-1", "d05.data2_GTGTGATTCGAACGCC-1", "d05.data2_GAAGAATTCGCTACGG-1", "d05.data2_CGTTGGGGTCCACAGC-1", "d05.data2_TTTACCATCCATTGCC-1", "d05.data2_ACACCAAGTGCAACAG-1", "d05.data2_TAGGGTTAGCATGATA-1", "d05.data2_AAGAACAAGTAGTCTC-1", "d05.data2_CATTGTTTCCAATGCA-1", "d05.data2_GACACGCTCAGGTAAA-1", "d05.data2_CACTGTCAGCCTCAGC-1", "d05.data2_GGGTTATTCATCTATC-1", "d05.data2_CTTGATTAGATGACAT-1", "d05.data2_ACCTGTCAGAATCTAG-1", "d05.data2_TCCCAGTCAACAAAGT-1", "d05.data2_TGATCTTGTAACGTTC-1", "d05.data2_TCATGCCAGAATCTAG-1", "d05.data2_CTGAATGCAGTATGAA-1", "d05.data2_GAGCTGCAGTAATTGG-1", "d05.data2_GCACGTGTCGCTATTT-1", "d05.data2_CAGCGTGCATAGAATG-1", "d05.data2_GAGTCTAGTTCAAACC-1", "d05.data2_GTTCCGTAGGCATCTT-1", "d05.data2_TGCAGGCAGATAGCTA-1", "d05.data2_TGAGCATAGAATCGAT-1", "d05.data2_GCCAGTGGTCTCTCAC-1", "d05.data2_TGATGCAAGTACTGTC-1", "d05.data2_CTGTATTAGGGAGGTG-1", "d05.data2_ATTCCATTCCATTTGT-1", "d05.data2_CTCAGAAGTCAACCAT-1", "d05.data2_TCAAGTGGTCACTAGT-1", "d05.data2_GATGTTGAGTAGTCCT-1", "d05.data2_CATGCCTGTAGTATAG-1", "d05.data2_ACCGTTCTCTACGGGC-1", "d05.data2_ATTCCTACACCAGTTA-1", "d05.data2_AGTGCCGGTTAGAAGT-1", "d05.data2_CATGCTCCATGTGACT-1", "d05.data2_CTGGACGTCCCTTGTG-1", "d05.data2_GTTACAGAGACATCAA-1", "d05.data2_AGCGATTAGTTCCGTA-1", "d05.data2_GTGGCGTTCCGCGGAT-1", "d05.data2_CGGGCATAGACATCCT-1", "d05.data2_AGGGCCTGTTGGCCGT-1", "d05.data2_TGGGAAGTCCCAGGAC-1", "d05.data2_ACCGTTCTCTGTGCTC-1", "d05.data2_TTCTCTCCACCTCAGG-1", "d05.data2_TACACCCTCGAGCCAC-1", "d05.data2_TCTTTGAGTCGGTGAA-1", "d05.data2_CGTGCTTTCCACGGAC-1", "d05.data2_AGAAGTACATATACCG-1", "d05.data2_GAGCTGCGTCGCTTAA-1", "d05.data2_GTGGCGTTCAGACCTA-1", "d05.data2_CGAGAAGCACACGTGC-1", "d05.data2_CTCTCAGTCTCAAAGC-1", "d05.data2_TGCCGAGAGACAGTCG-1", "d05.data2_ACCCTCAAGGTTAAAC-1", "d05.data2_CCCTAACCAACTTCTT-1", "d05.data2_GACACGCGTCAAGTTC-1", "d05.data2_TTCAATCCAGAACTTC-1", "d05.data2_ACTTCGCCACCAGGTC-1", "d05.data2_ACCGTTCAGTGCCAGA-1", "d05.data2_GTCAAACGTCCAGTTA-1", "d05.data2_TTGCCTGCATGGCCCA-1", "d05.data2_ACTTATCGTTTGTTGG-1", "d05.data2_AGGATAAAGTTACGTC-1", "d05.data2_TCACTCGCAAATGGAT-1", "d05.data2_TCCTCTTCAAATCGTC-1", "d05.data2_CACTGAAGTTCAGCGC-1", "d05.data2_ACAAAGAAGGAGAGGC-1", "d05.data2_GTCAGCGGTTTCCCAC-1", "d05.data2_CATCCGTAGTAAGACT-1", "d05.data2_ACATCCCAGAGAAGGT-1", "d05.data2_GTTCATTGTCCACACG-1", "d05.data2_CCACCATCATGTTTGG-1", "d05.data2_TCCTAATCAAATACAG-1", "d05.data2_ATACTTCGTGTCGCTG-1", "d05.data2_GGGTTATCAAGAGTTA-1", "d05.data2_AATGGAACAAACACCT-1", "d05.data2_TCTCCGACAGTTGGTT-1", "d05.data2_GCACTAACAAGTTCGT-1", "d05.data2_CCTCTAGAGTATGGCG-1", "d05.data2_GGGTATTAGTGATTCC-1", "d05.data2_AGAGAATGTCCAGCCA-1", "d05.data2_TAACCAGAGTCCCGGT-1", "d05.data2_GAACTGTAGCGGCTCT-1", "d05.data2_TCTCAGCCAGTTTCAG-1", "d05.data2_TCTTAGTCATCGATCA-1", "d05.data2_CCACTTGGTCGCTTGG-1", "d05.data2_CGGAATTCAAGGCTTT-1", "d05.data2_TGGCGTGAGTCGCTAT-1", "d05.data2_ACACGCGTCAGACATC-1", "d05.data2_GTGCAGCCAAACTCTG-1", "d05.data2_CCTAACCGTAGATTAG-1", "d05.data2_GTCACTCCACTTGTGA-1", "d05.data2_TCATCCGCAGCGACCT-1", "d05.data2_GAAGCGAAGATCCGAG-1", "d05.data2_ATGTCCCGTTGCATCA-1", "d05.data2_AGGTAGGTCGCTGTCT-1", "d05.data2_TCGACCTGTGCGAGTA-1", "d05.data2_CTCCCAAGTATCCTTT-1", "d05.data2_CTTAGGACATAGAATG-1", "d05.data2_ATTCCCGGTTCGTTCC-1", "d05.data2_TGGAACTTCTCCTGTG-1", "d05.data2_ACTACGAAGCTCGCAC-1", "d05.data2_GGTAACTGTTCGTGCG-1", "d05.data2_ACTGATGTCCCAATAG-1", "d05.data2_CGACAGCCAAACTCGT-1", "d05.data2_ACCAAACCACATGACT-1", "d05.data2_CCTCAGTAGATACCAA-1", "d05.data2_TGGAGAGGTGGGCTCT-1", "d05.data2_GAGCCTGCAGCTAACT-1", "d05.data2_ATTCAGGAGATGCTAA-1", "d05.data2_TGGAGAGGTTGATCGT-1", "d05.data2_TATACCTGTGGTCCGT-1", "d05.data2_ATTGTTCGTTTCGATG-1", "d05.data2_GTAATCGAGCGCCTAC-1", "d05.data2_AAGATAGTCGTTCAGA-1", "d05.data2_ATGAAAGCACTGGATT-1", "d05.data2_ATAGACCCAGTCACGC-1", "d05.data2_GAACGTTTCCTCTAGC-1", "d05.data2_ATTCACTAGCGACTTT-1", "d05.data2_CTTCAATGTTTAGAGA-1", "d05.data2_CACAGGCCACTTGGGC-1", "d05.data2_CGACAGCCAGTTGTCA-1", "d05.data2_CAGGTATCAATCGCCG-1", "d05.data2_TGGTTAGGTCGTAATC-1", "d05.data2_TGACGCGAGTTCCGTA-1", "d05.data2_AAGCGAGAGGCCTGCT-1", "d05.data2_AGCTACAGTTTCGTTT-1", "d05.data2_ACGGTTAGTTTCACTT-1", "d05.data2_AAAGAACCACCTCTGT-1", "d05.data2_TTGGGTATCGTGTGAT-1", "d05.data2_TTGATGGAGGAATTAC-1", "d05.data2_CGAGGAATCAAGAAAC-1", "d05.data2_TGTGTGAGTTGTCCCT-1", "d05.data2_GCTACCTTCCGACGGT-1", "d05.data2_CAGTTCCAGCCATTCA-1", "d05.data2_CACGAATGTGCTATTG-1", "d05.data2_CCACGTTAGCCTGAGA-1", "d05.data2_ATGGATCGTATAGCTC-1", "d05.data2_GTGGTTACAGCTGCCA-1", "d05.data2_CAGGGCTGTACCCACG-1", "d05.data2_TTGTGTTAGTATTGCC-1", "d05.data2_CATCCACGTTACCCAA-1", "d05.data2_AACCTTTGTGTTAACC-1", "d05.data2_CCTTCAGGTAGCGATG-1", "d05.data2_TACCGAATCCCGGTAG-1", "d05.data2_CCTATCGGTTAAACAG-1", "d05.data2_TCATTTGCAGGAGGAG-1", "d05.data2_TAGGTTGCAGCAGGAT-1", "d05.data2_GGGTATTCAATCTCTT-1", "d05.data2_GTCTAGATCCACTTTA-1", "d05.data2_ACATCGAGTAAGCGGT-1", "d05.data2_TTTACGTGTCGTATGT-1", "d05.data2_AGGGTGAAGAGCCCAA-1", "d05.data2_ATTTACCCACGTACAT-1", "d05.data2_GCAGTTAGTTGTTTGG-1", "d05.data2_ATCTCTACATCTCCCA-1", "d05.data2_GTTGTGAGTAATTAGG-1", "d05.data2_CAGATCAGTAGACAGC-1", "d05.data2_ATGTCCCAGTCTAGCT-1", "d05.data2_AGGGTGAGTCCGTACG-1", "d05.data2_AGTACTGGTTACCTGA-1", "d05.data2_CACATGACAGACCATT-1", "d05.data2_GATTTCTCACAAATAG-1", "d05.data2_GGCGTCACACTAGGTT-1", "d05.data2_TCTTGCGAGTGGAATT-1", "d05.data2_TGATTTCAGTTCACTG-1", "d05.data2_CAACAGTGTCTATGAC-1", "d05.data2_CTTAGGACAGTTGCGC-1", "d05.data2_TGTGCGGCATGCCGCA-1", "d05.data2_CTGCCTAAGTTGGACG-1", "d05.data2_ACTTATCCACGACGAA-1", "d05.data2_CTCCACAGTACCCAGC-1", "d05.data2_CCTCTAGTCGAAATCC-1", "d05.data2_TAGCACATCGATGCAT-1", "d05.data2_CATTTCATCGTTCTGC-1", "d05.data2_CCATAAGGTGGATACG-1", "d05.data2_TCGGATACACCCTATC-1", "d05.data2_CACTGTCCAGTCGAGA-1", "d05.data2_GTGGAGATCAAGTTGC-1", "d05.data2_GGGCGTTTCGCCTTTG-1", "d05.data2_GAAACCTGTATCCCAA-1", "d05.data2_AGCGATTGTGAAGCGT-1", "d05.data2_TAGGGTTAGTAAGAGG-1", "d05.data2_TTGGGTATCCTAAACG-1", "d05.data2_GTCGTTCGTTCGTGCG-1", "d05.data2_AGCTTCCGTACGGTTT-1", "d05.data2_AGATCGTGTATCGTTG-1", "d05.data2_ACTTTGTTCACTCACC-1", "d05.data2_ACCTACCCATCTCGTC-1", "d05.data2_TGTTACTTCCGCGATG-1", "d05.data2_TCAGTCCGTTCTATCT-1", "d05.data2_CCATAAGAGATTGTGA-1", "d05.data2_TCGCTCAGTCCACTTC-1", "d05.data2_CTTGATTTCGAACGCC-1", "d05.data2_TTGTGGAAGTTTGGCT-1", "d05.data2_CTCAATTCAGGGTTGA-1", "d05.data2_TTTAGTCGTATGAAAC-1", "d05.data2_CCTATCGTCCCGTGAG-1", "d05.data2_GACTATGCAATCAGCT-1", "d05.data2_TAGAGTCTCGCACTCT-1", "d05.data2_ACATGCACATTCGATG-1", "d05.data2_GGAGGTATCTCGCTCA-1", "d05.data2_TCGTGGGCACCTAAAC-1", "d05.data2_CTCAGAAAGGACATCG-1", "d05.data2_CCACAAACATCGATCA-1", "d05.data2_TGCAGGCCAGTTGAAA-1", "d05.data2_GGGACTCCATGTTTGG-1", "d05.data2_GTCATTTCACGAAGAC-1", "d05.data2_TCTTAGTCAAGAGTTA-1", "d05.data2_GGTAGAGCACTGGCGT-1", "d05.data2_AAGCCATCAATTCTTC-1", "d05.data2_ACTTATCCAGCTCATA-1", "d05.data2_CTTAGGAGTTCCGCAG-1", "d05.data2_TCAGCCTAGACGAAGA-1", "d05.data2_GCTTTCGAGTCTTCCC-1", "d05.data2_TCGCTTGGTCGTACAT-1", "d05.data2_ATTTACCTCACCGACG-1", "d05.data2_CTCAACCGTATCAGGG-1", "d05.data2_GGCAGTCGTTACGTAC-1", "d05.data2_CATTGCCTCCTCTCTT-1", "d05.data2_TAGCACATCACCGCTT-1", "d05.data2_CGTGCTTGTATGTGTC-1", "d05.data2_CTCCTCCTCTGAATCG-1", "d05.data2_CATTCTACACATGAAA-1", "d05.data2_CCACGTTGTGGGACAT-1", "d05.data2_TCATGCCAGCCGGATA-1", "d05.data2_GATTTCTAGCGGGTAT-1", "d05.data2_GCAACATAGCAACCAG-1", "d05.data2_CGAAGGATCACCTGGG-1", "d05.data2_TTTCCTCTCATCGACA-1", "d05.data2_TTACGTTAGTAAACGT-1", "d05.data2_CTTCGGTTCCGTTGGG-1", "d05.data2_AGCGCTGCAAGTCCCG-1", "d05.data2_TATTGGGAGATGTAGT-1", "d05.data2_TCGCTTGTCAACGTGT-1", "d05.data2_TGGATCAAGGGCTTCC-1", "d05.data2_TCATTTGAGTAAGAGG-1", "d05.data2_AGCCAGCCACTGTTCC-1", "d05.data2_GTAAGTCTCTCATGGA-1", "d05.data2_TTGTTGTCACTGTCCT-1", "d05.data2_AACCACAGTCAGGTGA-1", "d05.data2_TACACCCAGTGCTCAT-1", "d05.data2_AAACGCTCAAATGAAC-1", "d05.data2_ACTGTCCTCCGTATAG-1", "d05.data2_GTAACACCATTCCTAT-1", "d05.data2_CATCCCACAAACACGG-1", "d05.data2_TCCTTTCTCTTGGTCC-1", "d05.data2_CTGCATCGTTCCTAGA-1", "d05.data2_CAGCACGGTACTAGCT-1", "d05.data2_CAGAGCCAGTTCCATG-1", "d05.data2_TTGGTTTGTCCCGCAA-1", "d05.data2_CAGTTAGCAGTTCACA-1", "d05.data2_CCGCAAGAGGATACGC-1", "d05.data2_GATTGGTTCGACCACG-1", "d05.data2_GAAACCTCATAGAATG-1", "d05.data2_GCACGTGTCTCGCTTG-1", "d05.data2_CTCAAGAAGCACGGAT-1", "d05.data2_GCCAGTGGTCTTACAG-1", "d05.data2_ATCTTCATCAACGCTA-1", "d05.data2_AGAGAGCAGGTTGCCC-1", "d05.data2_ATGACCATCCATAGAC-1", "d05.data2_CTAACTTAGTACAACA-1", "d05.data2_CATGCAAAGGATTACA-1", "d05.data2_CACCAAACACGAGGAT-1", "d05.data2_GTGAGCCTCCTATTGT-1", "d05.data2_ACCAACAGTGAAGCTG-1", "d05.data2_AGGTCTAAGGTTGGTG-1", "d05.data2_ATCCTATGTGTCATGT-1", "d05.data2_CAATGACTCTGAGTCA-1", "d05.data2_TCGGATATCGCAATTG-1", "d05.data2_GAAGGACGTGTTATCG-1", "d05.data2_TCAGTCCCACGCAGTC-1", "d05.data2_TTCTCTCCAGGGTCTC-1", "d05.data2_CAACAGTCATGGATCT-1", "d05.data2_TTGCCTGAGGGAGATA-1", "d05.data2_AGCTACAAGAATCGCG-1", "d05.data2_CCTAACCCATCGGTTA-1", "d05.data2_GCTGGGTGTTCCGCGA-1", "d05.data2_CATGCGGAGCTGAAAT-1", "d05.data2_AACAAGAGTATTGGCT-1", "d05.data2_AAGGAATGTCAATCTG-1", "d05.data2_CTTGAGAAGTAACAGT-1", "d05.data2_ATAGACCTCATTTCGT-1", "d05.data2_ACGGTTATCTTGGATG-1", "d05.data2_CATACCCCATGAGAAT-1", "d05.data2_CATGGATGTATGAGAT-1", "d05.data2_ATACTTCGTTAAGGAT-1", "d05.data2_GTCACGGGTGCCTTCT-1", "d05.data2_TGAACGTTCTTAGGAC-1", "d05.data2_ATTTACCAGTCATGCT-1", "d05.data2_GAATCACCATACAGGG-1", "d05.data2_GAGTCTAAGCTGTACT-1", "d05.data2_TCCTCGATCTATGTGG-1", "d05.data2_CTTCCTTTCATTGCTT-1", "d05.data2_CATCCCATCTTGAGCA-1", "d05.data2_TGCGATACACAATTCG-1", "d05.data2_AAGACAACACCTGAAT-1", "d05.data2_TGGTACATCGACACTA-1", "d05.data2_GGGTGTCTCCGAGTGC-1", "d05.data2_GTAGAAAGTCCGTACG-1", "d05.data2_GGCACGTTCCGACAGC-1", "d05.data2_GGATCTACATGAGTAA-1", "d05.data2_AGAGAATTCTAACGCA-1", "d05.data2_TCATTGTTCTTAGCAG-1", "d05.data2_GGCTTGGTCAGTAGGG-1", "d05.data2_ATGATCGGTGAGTTTC-1", "d05.data2_GTCCCATTCGTTCAGA-1", "d05.data2_AAGGAATGTGATACTC-1", "d05.data2_CTACTATTCACGATAC-1", "d05.data2_TGAATGCGTTTCCCAC-1", "d05.data2_TTCGGTCTCAGCTAGT-1", "d05.data2_TGCTTCGCATTACTCT-1", "d05.data2_ATCTTCAAGATGGTAT-1", "d05.data2_AAACCCAAGGTGGCTA-1", "d05.data2_TGCGATATCATAGGCT-1", "d05.data2_ACTATCTTCTCCCAAC-1", "d05.data2_AAGTACCAGGTTACCT-1", "d05.data2_AGGACTTGTACCTAGT-1", "d05.data2_GTTACGAGTATCCTCC-1", "d05.data2_GATAGCTCAGTCAGTT-1", "d05.data2_GTAGCTAGTGGACCAA-1", "d05.data2_ATGTCTTCAGCATACT-1", "d05.data2_TCATTACTCATATGGC-1", "d05.data2_GGGCCATGTGAGACCA-1", "d05.data2_ACAAGCTGTACTCCGG-1", "d05.data2_AGAAATGAGTATAGAC-1", "d05.data2_CACATGAAGTTATGGA-1", "d05.data2_TCATTACAGGTTAGTA-1", "d05.data2_AGGGTTTAGGCCTTCG-1", "d05.data2_GCCAGGTGTAACGCGA-1", "d05.data2_TAATTCCTCTACAGGT-1", "d05.data2_TCCATGCAGCTAATGA-1", "d05.data2_CTGCCATCAGCTTCGG-1", "d05.data2_GCGGAAAGTGTTAAAG-1", "d05.data2_TCGTAGAAGTGGTTGG-1", "d05.data2_GTAATGCCAGGTTTAC-1", "d05.data2_GGAACCCTCCCTAGGG-1", "d05.data2_TGGAACTGTCTGTGGC-1", "d05.data2_TAGGTTGGTGCTGTCG-1", "d05.data2_TGTTACTCACAAATAG-1", "d05.data2_CCTAACCCAGTTAGGG-1", "d05.data2_ATGAGGGCATGGTACT-1", "d05.data2_GACCAATTCGCTACAA-1", "d05.data2_ATTGGGTGTGCCCAGT-1", "d05.data2_GTTCATTAGGTCACCC-1", "d05.data2_GGGAGATTCCGCAAAT-1", "d05.data2_TCACAAGCACGCTGAC-1", "d05.data2_CATCCGTAGTGAGGTC-1", "d05.data2_CATCGGGTCTAAGCGT-1", "d05.data2_GCTGCAGAGTGTTGTC-1", "d05.data2_AGCCAGCCATGGGATG-1", "d05.data2_GAGAAATGTTAGGGAC-1", "d05.data2_TCATGTTTCGGTCGGT-1", "d05.data2_TTGCATTGTGGTACAG-1", "d05.data2_TGGGATTCATGGGCAA-1", "d05.data2_GTGCTTCCACCTCTAC-1", "d05.data2_GGGCTCAAGATGCCGA-1", "d05.data2_TGTCCACTCTAATTCC-1", "d05.data2_TTTATGCCAAGGTTGG-1", "d05.data2_TCATTTGCACATCATG-1", "d05.data2_GTGCACGTCGAGCTGC-1", "d05.data2_TGAGGTTCAGACGATG-1", "d05.data2_ACCCAAAAGACCGTTT-1", "d05.data2_TTATTGCTCTAGCATG-1", "d05.data2_AAGACAAGTTGGACCC-1", "d05.data2_TCATTTGCACGTGAGA-1", "d05.data2_CTCTCGACAAAGCACG-1", "d05.data2_ACACGCGGTGCGTGCT-1", "d05.data2_GCTGAATGTCGGCCTA-1", "d05.data2_ACAACCATCTGACCCT-1", "d05.data2_CCAATTTAGGCTTAAA-1", "d05.data2_GAACACTCAACCAACT-1", "d05.data2_TCTATACAGTTGGGAC-1", "d05.data2_GAGGCCTCACTGTGAT-1", "d05.data2_GCACATAGTACATACC-1", "d05.data2_ACTGTGACAACAGAGC-1", "d05.data2_GGTGAAGGTTGACTAC-1", "d05.data2_CTGCTCAGTGTATTGC-1", "d05.data2_AGGACGAGTACGATCT-1", "d05.data2_CCAATGACATGATCTG-1", "d05.data2_CAGCCAGGTCGCAGTC-1", "d05.data2_AACTTCTTCCCTATTA-1", "d05.data2_AGGTTGTCACTTGTCC-1", "d05.data2_CAGTTCCCAAATGCTC-1", "d05.data2_ATGGATCGTACCTAGT-1", "d05.data2_TGTCCTGGTGCAACGA-1", "d05.data2_CCAATGAGTGCATTAC-1", "d05.data2_GAATCACTCACCATGA-1", "d05.data2_AAGACTCAGAGAGCAA-1", "d05.data2_AGGTCTACAACGCATT-1", "d05.data2_GTCATGACAAGCAGGT-1", "d05.data2_AGTTCGACAGGACTAG-1", "d05.data2_GTTTACTGTATACAGA-1", "d05.data2_CGTAATGAGTTAGAAC-1", "d05.data2_GCTCAAACATAATCCG-1", "d05.data2_ACTGTGAGTATCCTTT-1", "d05.data2_TACCGGGCAGGTCAGA-1", "d05.data2_ATCATTCGTTGGAGAC-1", "d05.data2_AGATCCACATTCTCTA-1", "d05.data2_CTACATTTCGAACACT-1", "d05.data2_AACCTTTCATGTGTCA-1", "d05.data2_AAGTTCGGTCAGACTT-1", "d05.data2_ATCCCTGGTTTAGTCG-1", "d05.data2_TCTACATAGGGAGTTC-1", "d05.data2_TTAGTCTGTACCTAAC-1", "d05.data2_TACGTCCTCAGGTGTT-1", "d05.data2_CGCATAAAGCGTCAGA-1", "d05.data2_ATACCTTAGCAGGTCA-1", "d05.data2_ACTTCCGGTGAGACCA-1", "d05.data2_CAATGACAGAAGCCAC-1", "d05.data2_CATACTTCAATCTAGC-1", "d05.data2_CCCAACTAGGCCCAAA-1", "d05.data2_CCTAACCGTGTTAACC-1", "d05.data2_GCCCAGATCATTGCCC-1", "d05.data2_GCAACCGGTTCCAGGC-1", "d05.data2_TTGAGTGCACTAAACC-1", "d05.data2_AGAGAGCAGTCGCTAT-1", "d05.data2_CTACCTGCACCCTTGT-1", "d05.data2_TAACGACTCGAACCTA-1", "d05.data2_CTATCCGTCACGATCA-1", "d05.data2_ACGTCCTCATGCTGCG-1", "d05.data2_CAGTTCCGTAACCCGC-1", "d05.data2_TGATGGTCATGGATCT-1", "d05.data2_AACAAGAGTCACTAGT-1", "d05.data2_AACAAGAGTAGAGACC-1", "d05.data2_CCTTGTGTCGATGCAT-1", "d05.data2_CAAAGAATCGCTACGG-1", "d05.data2_TTCATGTGTTTAAGGA-1", "d05.data2_TCGCAGGCACTATCGA-1", "d05.data2_ATCCCTGTCTAGATCG-1", "d05.data2_CCTCCTCTCGCTTTAT-1", "d05.data2_AGGAAATAGGAATTAC-1", "d05.data2_AGCTACAGTTGCATAC-1", "d05.data2_ATACTTCCACATCATG-1", "d05.data2_TAATCTCCACTTGAAC-1", "d05.data2_TAATTCCGTTCAATCG-1", "d05.data2_ACCTGAAAGTAGTCTC-1", "d05.data2_TTGACCCCATAGCACT-1", "d05.data2_CCACAAAAGTCGTCTA-1", "d05.data2_AGCCAGCCACCACTGG-1", "d05.data2_TGTGATGGTACTGCGC-1", "d05.data2_CATCGCTGTCCGAAAG-1", "d05.data2_ACCTGTCTCTGTGCTC-1", "d05.data2_CGAGTTAAGCGTCTGC-1", "d05.data2_CAGTTAGTCACCTCGT-1", "d05.data2_CTAGACAAGCGGGTAT-1", "d05.data2_GTCTACCTCTCATTTG-1", "d05.data2_TGAACGTTCATGGAGG-1", "d05.data2_TTTACGTCAGCTCCTT-1", "d05.data2_AACAAAGCAAATACAG-1", "d05.data2_AAGACAAAGCGACAGT-1", "d05.data2_CTTACCGTCCTTCTTC-1", "d05.data2_TCGGGACTCCCTCGTA-1", "d05.data2_CTCAGAAGTCTTCTAT-1", "d05.data2_ATCGGCGCAGGAATCG-1", "d05.data2_TTGACCCGTCTACAGT-1", "d05.data2_ATAGAGACAATGAACA-1", "d05.data2_TCAGCCTAGGGAGATA-1", "d05.data2_AGTCATGAGAGGACTC-1", "d05.data2_TACGCTCAGCGGCTCT-1", "d05.data2_AGGTCATGTTAATCGC-1", "d05.data2_AACAAGACAGCAATTC-1", "d05.data2_CAAGAGGAGAGGATGA-1", "d05.data2_GGAGATGCAAGTGGCA-1", "d05.data2_TCGTCCAGTATGGAAT-1", "d05.data2_GGGACCTGTGTCCACG-1", "d05.data2_TGCTTCGTCATCTATC-1", "d05.data2_CTGCTCATCATACAGC-1", "d05.data2_AGTAACCAGTGGATAT-1", "d05.data2_GAGCCTGTCAAAGGTA-1", "d05.data2_TGAGCGCAGCTTGTTG-1", "d05.data2_GGGAAGTAGGATTCCT-1", "d05.data2_CCACAAACACTGAATC-1", "d05.data2_GATGCTATCGCTCCTA-1", "d05.data2_ACCCTCAAGCCTCAAT-1", "d05.data2_TCGAAGTTCGACGCTG-1", "d05.data2_TTCCGTGCAGAGGAAA-1", "d05.data2_TACCTGCCAGACTCTA-1", "d05.data2_TGTTGAGCAATTAGGA-1", "d05.data2_TGTGCGGCACACTTAG-1", "d05.data2_CTGAGGCGTCGGAAAC-1", "d05.data2_TCCTTCTGTCTACATG-1", "d05.data2_AGCTACATCTCATTTG-1", "d05.data2_CATTCTACACGGGCTT-1", "d05.data2_CTCCTCCCAGTCTGGC-1", "d05.data2_TCATGTTAGCAGATAT-1", "d05.data2_AAAGTCCAGCTATCTG-1", "d05.data2_GTTGTGACACTCCGGA-1", "d05.data2_AGCGTATTCGAATGCT-1", "d05.data2_CAATCGACATCTTCGC-1", "d05.data2_ATCACAGAGGTACCTT-1", "d05.data2_GATAGAACAACTTGCA-1", "d05.data2_GATTCGACAGAGGAAA-1", "d05.data2_TTTCCTCAGTGATAAC-1", "d05.data2_ATCCATTTCTCACCCA-1", "d05.data2_AGTCATGGTTCGAGCC-1", "d05.data2_GCACATAAGCGACTAG-1", "d05.data2_TCTTTGAGTCGGAACA-1", "d05.data2_TGCATGAAGCATAGGC-1", "d05.data2_AGCCACGCATCATCCC-1", "d05.data2_CCACGTTTCTCCTGAC-1", "d05.data2_TTCTTGAAGCTGCCAC-1", "d05.data2_CTCCACAGTCTTTATC-1", "d05.data2_GTAGATCCATGTAACC-1", "d05.data2_AATTTCCTCCTACAAG-1", "d05.data2_GGGAGTACAAACTGCT-1", "d05.data2_GCAGCCATCGATCCAA-1", "d05.data2_GGGTTTATCTACACTT-1", "d05.data2_GCCCGAACATCCTTCG-1", "d05.data2_TGACTCCTCGATACAC-1", "d05.data2_CACATGACACCCTGTT-1", "d05.data2_GGTTAACTCATTTACC-1", "d05.data2_ACTATGGCATGTAACC-1", "d05.data2_CGCAGGTTCGGAGATG-1", "d05.data2_AGCTCAATCCTGGGAC-1", "d05.data2_GGGATCCAGAGTCGAC-1", "d05.data2_TCCGTGTCATACATCG-1", "d05.data2_TACCCGTTCCAGTGTA-1", "d05.data2_CGCCAGAAGCTCACTA-1", "d05.data2_CATTTCATCGAGAAAT-1", "d05.data2_AATAGAGGTGTTGACT-1", "d05.data2_AAAGGTACAAAGAACT-1", "d05.data2_ATCTTCAGTATTTCTC-1", "d05.data2_TTGAGTGCAGCGCTTG-1", "d05.data2_GACGTTAGTTAGAAAC-1", "d05.data2_TGGGCTGGTAGCTGTT-1", "d05.data2_TGAGACTGTAGTAAGT-1", "d05.data2_TCATGTTAGGACAACC-1", "d05.data2_CTAAGTGGTATTGAGA-1", "d05.data2_GCACTAATCCAGTGCG-1", "d05.data2_AGTTCCCCAAGTATCC-1", "d05.data2_AGGCATTTCCCAACTC-1", "d05.data2_AAGCGTTTCATGACAC-1", "d05.data2_TCCAGAAGTCTGATAC-1", "d05.data2_CTGTATTTCATCGTAG-1", "d05.data2_CTGGCAGTCCACAGCG-1", "d05.data2_ATGGATCGTAGCTCGC-1", "d05.data2_TGAGCGCGTATGCTTG-1", "d05.data2_AACCAACCAAGGCTTT-1", "d05.data2_GTTCTATTCGACGATT-1", "d05.data2_CTAACCCGTGTGCCTG-1", "d05.data2_ACTCCCATCACCTGGG-1", "d05.data2_CCACGAGTCCTCGATC-1", "d05.data2_ATTTACCGTCACTACA-1", "d05.data2_AATGCCACAAGCAATA-1", "d05.data2_ATGCATGTCATGGAGG-1", "d05.data2_TTCTAACCAAGACGAC-1", "d05.data2_TCATCATGTTTACCTT-1", "d05.data2_AGTTCGATCTAGCAAC-1", "d05.data2_CGCATGGTCCTTATCA-1", "d05.data2_CTATAGGGTGTCCCTT-1", "d05.data2_ACTTCCGGTCAAAGAT-1", "d05.data2_CTATAGGTCTCTGACC-1", "d05.data2_CCACTTGCACTTTAGG-1", "d05.data2_GGGAGTAGTTATGTGC-1", "d05.data2_TCATACTCATTGACCA-1", "d05.data2_GATGATCGTAGCGAGT-1", "d05.data2_ATCCTATCAAATCGTC-1", "d05.data2_TTTCATGCACCTGAAT-1", "d05.data2_TGAGGGATCCATCTGC-1", "d05.data2_TATGTTCTCGGTGTAT-1", "d05.data2_GCCATGGTCTACACAG-1", "d05.data2_AAGATAGGTGCTTCAA-1", "d05.data2_GTCAGCGTCTACACAG-1", "d05.data2_CCTTCAGGTCCCAAAT-1", "d05.data2_TCTCAGCAGTCAGCGA-1", "d05.data2_GAATCGTCACACCGCA-1", "d05.data2_TCCACCAAGACGACGT-1", "d05.data2_TGACGCGAGCCGGAAT-1", "d05.data2_GATCCCTCAGCATGCC-1", "d05.data2_TACCTGCAGACGGTCA-1", "d05.data2_GCAGCTGCATGTGACT-1", "d05.data2_GCAACATAGCTGAGCA-1", "d05.data2_CATGCAAAGGGCAACT-1", "d05.data2_TTCAATCGTAGCTTTG-1", "d05.data2_GCTTGGGAGTATGGCG-1", "d05.data2_GTCAAGTAGGCTTCCG-1", "d05.data2_TACGGTAGTTCAGCGC-1", "d05.data2_TCGCAGGCACAGCGCT-1", "d05.data2_GTTGTGAGTCTCTCCA-1", "d05.data2_ACCATTTAGCTGGAGT-1", "d05.data2_GTGAGTTTCAACCTTT-1", "d05.data2_CGAGTTAAGCCAGAGT-1", "d05.data2_AACAACCAGTAGACAT-1", "d05.data2_GTGAGGATCTCTTAAC-1", "d05.data2_GGTGATTTCGACCACG-1", "d05.data2_AAGATAGTCTTCTGTA-1", "d05.data2_AGCGATTGTACGCTTA-1", "d05.data2_GCCGATGCATATACCG-1", "d05.data2_CCGAACGGTCAAACGG-1", "d05.data2_TGCGGGTGTTCGGCCA-1", "d05.data2_CTAACCCAGACATGCG-1", "d05.data2_GAGACTTTCCGGACGT-1", "d05.data2_AGGGTTTAGCGTTAGG-1", "d05.data2_TCGACGGAGTCTCTGA-1", "d05.data2_ATCCCTGCAACAAAGT-1", "d05.data2_CTACCTGCAGTTGTTG-1", "d05.data2_CGGAATTGTGTCGATT-1", "d05.data2_GCAGGCTCAATGTGGG-1", "d05.data2_GCATCTCTCTCTGGTC-1", "d05.data2_TCGTGGGGTTTGTTGG-1", "d05.data2_CCACAAATCCTCTAGC-1", "d05.data2_TTCTGTAGTTCCCAAA-1", "d05.data2_AGGGTCCGTCGTATTG-1", "d05.data2_GCCATTCCATAACGGG-1", "d05.data2_CTACATTGTCAGTTTG-1", "d05.data2_GGTAATCTCTAGCATG-1", "d05.data2_CGCATAATCATACAGC-1", "d05.data2_CTCCTCCTCGCATAGT-1", "d05.data2_AAGACAAGTCGACGCT-1", "d05.data2_TCCATGCCAGGAACCA-1", "d05.data2_TGATGGTTCACCGACG-1", "d05.data2_GGTGTCGTCCTCACTG-1", "d05.data2_TCTATACAGCATGATA-1", "d05.data2_CTATCTAAGGTTGCCC-1", "d05.data2_TTGGATGCAGTTGCGC-1", "d05.data2_GTAGTACAGGGCTAAC-1", "d05.data2_GAACTGTAGCTAGAGC-1", "d05.data2_GCCAGGTTCGCATGAT-1", "d05.data2_TTTCACAGTCACAATC-1", "d05.data2_TCTGGCTAGTTGGAAT-1", "d05.data2_AACCTGAGTAACATAG-1", "d05.data2_CAAGCTAAGGAAGTAG-1", "d05.data2_GGTTAACGTGTGAGCA-1", "d05.data2_TTCCTAATCTTCACAT-1", "d05.data2_TGCGATACACACCTAA-1", "d05.data2_TTCTTCCTCCTCACCA-1", "d05.data2_CATGCAACATCAACCA-1", "d05.data2_ATGCATGCACTGTTCC-1", "d05.data2_CTACTATTCGAACCAT-1", "d05.data2_TTCTAGTCACACACGC-1", "d05.data2_TAATTCCCAGAGGTTG-1", "d05.data2_ACTTATCTCGGTCGAC-1", "d05.data2_AAAGAACCACCTAAAC-1", "d05.data2_TACGGTATCAATGTCG-1", "d05.data2_GAATCACCAAGGCTTT-1", "d05.data2_TACCTGCCAGTATTCG-1", "d05.data2_TACTGCCTCACGGGCT-1", "d05.data2_TCCAGAACACCCTTGT-1", "d05.data2_TCATTTGTCGTTAGAC-1", "d05.data2_CCGTAGGGTCTTGAAC-1", "d05.data2_AGTAACCTCAGGAAAT-1", "d05.data2_TTGATGGTCGAACGCC-1", "d05.data2_TCGCTCATCCTCGATC-1", "d05.data2_GGTGGCTAGTAACGAT-1", "d05.data2_GACCCTTAGTCTCCTC-1", "d05.data2_CAACAACCAATGTTGC-1", "d05.data2_CTGCCATCAGCTTTCC-1", "d05.data2_GATGGAGTCCTTGACC-1", "d05.data2_ATCACAGGTAAGCAAT-1", "d05.data2_ACCAACATCGTGCGAC-1", "d05.data2_CAATCGATCAAAGGTA-1", "d05.data2_TTAATCCAGACCAACG-1", "d05.data2_TGAGGGACAGTTAGGG-1", "d05.data2_GAGGGATTCGTAGCCG-1", "d05.data2_GTAAGTCAGACTCTTG-1", "d05.data2_ATGGTTGTCGAGTCTA-1", "d05.data2_GTGACGCCACGGCCAT-1", "d05.data2_TTATTGCGTTAAGACA-1", "d05.data2_GAACTGTAGAGCCGAT-1", "d05.data2_GTCTCACAGGTTCCAT-1", "d05.data2_ACTCTCGGTCCATAGT-1", "d05.data2_ATACTTCGTGGTGATG-1", "d05.data2_CGTCAAAGTTCCTAGA-1", "d05.data2_TGGTACATCAAGTGTC-1", "d05.data2_TCGAACATCGCTGCGA-1", "d05.data2_CTGCAGGGTCTCGGGT-1", "d05.data2_CATTGCCAGGGTAATT-1", "d05.data2_TCTAACTAGGTCTACT-1", "d05.data2_ACTGTGAGTAATACCC-1", "d05.data2_CAGAGCCGTTCATCGA-1", "d05.data2_CCAATTTCAGCAGTAG-1", "d05.data2_TTCTGTATCCGGTAAT-1", "d05.data2_ACACAGTTCGCTACGG-1", "d05.data2_GGGACAAAGAAGCGCT-1", "d05.data2_GACATCATCCACGTCT-1", "d05.data2_CGAGTGCCATGGCTGC-1", "d05.data2_TCTCACGGTCATCCGG-1", "d05.data2_TTATTGCCAGCTTTGA-1", "d05.data2_ACTTATCTCCGTATAG-1", "d05.data2_ATTTCACTCATGAGGG-1", "d05.data2_AGCATCATCCTGCTAC-1", "d05.data2_TGTTCTAGTTATCCAG-1", "d05.data2_ATGCCTCTCTCCACTG-1", "d05.data2_TCTGTCGCAGCGTGAA-1", "d05.data2_GTCAGCGTCCAAGAGG-1", "d05.data2_CGGAACCGTGCTTCAA-1", "d05.data2_AGACTCACACTGAGGA-1", "d05.data2_TATTTCGTCGCATGAT-1", "d05.data2_AAAGGTACACTGTTCC-1", "d05.data2_AGCCAATTCGTCAGAT-1", "d05.data2_TCCCACAAGTTCGGTT-1", "d05.data2_TACACCCCATACTGTG-1", "d05.data2_TGACTCCGTTACAGCT-1", "d05.data2_CATCGTCAGGTTACCT-1", "d05.data2_TATCAGGCAACAAAGT-1", "d05.data2_CCACAAATCTTGTGCC-1", "d05.data2_TCCATCGTCCGCAAAT-1", "d05.data2_TAGTGCAGTCTACGTA-1", "d05.data2_TGATGCAGTATCACCA-1", "d05.data2_AGTGTTGCACTAGAGG-1", "d05.data2_CATCGTCTCCACGGAC-1", "d05.data2_AGAGCCCAGGGTTAGC-1", "d05.data2_TCCTCTTAGACATCCT-1", "d05.data2_TAAGCCAAGTCAGCCC-1", "d05.data2_TATCTTGTCGCTTGCT-1", "d05.data2_CAGCAATTCTAGCAAC-1", "d05.data2_GCTTCACTCGACCTAA-1", "d05.data2_CTAACCCCAAGAAATC-1", "d05.data2_TTCCGTGCAATTGCGT-1", "d05.data2_ATCATTCGTGCCGGTT-1", "d05.data2_GCTCAAACACGATTCA-1", "d05.data2_AGTGTTGCATACGCAT-1", "d05.data2_CTCAGAATCTACCCAC-1", "d05.data2_TAACTTCGTCATGGCC-1", "d05.data2_AGCTCAAAGTCTGGTT-1", "d05.data2_TAGAGTCTCCGGGACT-1", "d05.data2_TCGCTTGCACCCTCTA-1", "d05.data2_GGCACGTAGCTGGTGA-1", "d05.data2_TCTAACTGTTTACCAG-1", "d05.data2_ATGAGGGCAATCGCAT-1", "d05.data2_TGAGGAGCAGCTGCCA-1", "d05.data2_AACAGGGTCGCCGATG-1", "d05.data2_GTTACAGGTTAGTTCG-1", "d05.data2_CGCCATTGTCATGCAT-1", "d05.data2_CGGGCATCACAGCCTG-1", "d05.data2_AACTTCTTCAGCTTGA-1", "d05.data2_CATCCACTCCGCAAAT-1", "d05.data2_AGGGCTCTCTTGAGCA-1", "d05.data2_AACACACGTGTTCCTC-1", "d05.data2_CGTGCTTAGCGTGTTT-1", "d05.data2_CTTTCGGAGAATCGTA-1", "d05.data2_AATCGACTCAGACCGC-1", "d05.data2_CACGTGGGTTGCATTG-1", "d05.data2_CGTCAAAGTACGGATG-1", "d05.data2_ATCGATGCAACACACT-1", "d05.data2_GAGTTGTTCCACCTGT-1", "d05.data2_CATACAGCACTCGATA-1", "d05.data2_ACTTTCAAGGTGCAGT-1", "d05.data2_ATTCTTGTCAAGCCCG-1", "d05.data2_ACCTACCGTGTTCAGT-1", "d05.data2_AACCATGAGTTCCGTA-1", "d05.data2_ACCTGAAAGGTCTACT-1", "d05.data2_GTAACCAGTCCTATAG-1", "d05.data2_AGCGTATTCAGCTTCC-1", "d05.data2_TAAGCACCAGAACTCT-1", "d05.data2_ACGTCCTAGCACCGTC-1", "d05.data2_AAAGGGCAGTGCAAAT-1", "d05.data2_GCTCAAACAGACCAAG-1", "d05.data2_ACACGCGGTGATAGTA-1", "d05.data2_GACTTCCCAACCGTAT-1", "d05.data2_ACAGCCGGTCTCCTGT-1", "d05.data2_CAGCAGCAGCTGGCCT-1", "d05.data2_TCGAACACACCTGCTT-1", "d05.data2_GCTACAAGTAGCGTAG-1", "d05.data2_CTCACTGTCCGGTAGC-1", "d05.data2_ATCTTCATCCATGAGT-1", "d05.data2_CTATCTACACATGTTG-1", "d05.data2_CCTCAACGTGGCTTGC-1", "d05.data2_GAGTTTGAGTCCTGTA-1", "d05.data2_AGGCTGCCATGTAACC-1", "d05.data2_GTAGAAATCCGCGATG-1", "d05.data2_TCCCACAAGCACGTCC-1", "d05.data2_ACCCAAACAATGTCAC-1", "d05.data2_GATCATGCAGGAATAT-1", "d05.data2_AAGACAAAGGTTCATC-1", "d05.data2_GCCAACGTCTGAACGT-1", "d05.data2_GACCAATTCCTCATAT-1", "d05.data2_CCACACTTCCAGCACG-1", "d05.data2_TACAACGCACACCGAC-1", "d05.data2_ACCAAACGTTACTCAG-1", "d05.data2_ATAGGCTGTACAATAG-1", "d05.data2_CACTGAACAACTGAAA-1", "d05.data2_GGAGGTACACCTGAAT-1", "d05.data2_CGGGTCATCGAGCACC-1", "d05.data2_GACCTTCTCCAATCTT-1", "d05.data2_ATGGTTGGTACGAAAT-1", "d05.data2_TAGACTGGTATCATGC-1", "d1.data2_AGACACTCAAGAGAGA-1", "d1.data2_CACTAAGAGTAAGCAT-1", "d1.data2_TCGTGCTAGTACGAGC-1", "d1.data2_CGATGGCAGCTGCGAA-1", "d1.data2_TCTCTGGAGTTGTAGA-1", "d1.data2_TGTAACGAGCTTCGTA-1", "d1.data2_TCGTGCTAGAACAGGA-1", "d1.data2_TGAGCATTCGAGCCAC-1", "d1.data2_GTAGAAAGTTGGGTTT-1", "d1.data2_GTAGAAAAGCCTGACC-1", "d1.data2_TTCTGTACATGTAACC-1", "d1.data2_CTCAAGACATTGAAGA-1", "d1.data2_AGGAGGTGTATCGTGT-1", "d1.data2_CTTCCGAGTTGTGCAT-1", "d1.data2_TGCTCGTGTACTAACC-1", "d1.data2_GCTGCAGAGGTCGCCT-1", "d1.data2_GCCTGTTGTTGGTGTT-1", "d1.data2_TCCTGCACAGAAATCA-1", "d1.data2_GCATCGGAGCTGCGAA-1", "d1.data2_CTGAATGCAAGAGTGC-1", "d1.data2_GTGGGAATCCTGATAG-1", "d1.data2_GCTTCACAGGTAAACT-1", "d1.data2_AAGGAATTCTAGAACC-1", "d1.data2_ACATCGAAGTTTGTCG-1", "d1.data2_GACAGCCAGGCATCGA-1", "d1.data2_TAACGACCAGGTAGTG-1", "d1.data2_TTTATGCCACAACATC-1", "d1.data2_CGTGCTTCATAGATGA-1", "d1.data2_CAGTTAGGTGCATTAC-1", "d1.data2_TCCATGCCATTGGCAT-1", "d1.data2_TTCCACGAGCACTCGC-1", "d1.data2_ACAAAGATCCTCAGGG-1", "d1.data2_TAGGAGGCAATAACCC-1", "d1.data2_GATAGAACATTCGGGC-1", "d1.data2_ATCCCTGAGGTCCCTG-1", "d1.data2_GGTAACTGTCTGTGTA-1", "d1.data2_TCGGGTGGTGTGCCTG-1", "d1.data2_TTCTTCCAGGAGTATT-1", "d1.data2_GTATTGGAGTGCGACA-1", "d1.data2_AGGGTGAGTGATACAA-1", "d1.data2_CTCCATGCATCTGGGC-1", "d1.data2_TCCGAAAGTGCGGTAA-1", "d1.data2_AAAGTGAGTGTGTACT-1", "d1.data2_CTCAATTAGTCAGGGT-1", "d1.data2_TCGAAGTGTGGGATTG-1", "d1.data2_GAGGCAATCAAATGAG-1", "d1.data2_AACGAAAGTTTGGAGG-1", "d1.data2_CAAAGAATCGTAATGC-1", "d1.data2_CCTGTTGCACAGCCTG-1", "d1.data2_AGGCTGCCATGGCTAT-1", "d1.data2_GTAGAGGGTCTTTCTA-1", "d1.data2_CCCGGAAGTACCACGC-1", "d1.data2_AAGAACAGTATAGGAT-1", "d1.data2_TGCATCCGTCTGCGCA-1", "d1.data2_TGGAGGAAGTAACGAT-1", "d1.data2_GACGTTAAGTTGGGAC-1", "d1.data2_CTGTGGGTCTACCACC-1", "d1.data2_TTCAATCGTGAATAAC-1", "d1.data2_TCGCAGGAGATAGCTA-1", "d1.data2_TGACCCTCACACTGGC-1", "d1.data2_GTTGCTCCAAATACAG-1", "d1.data2_ACTTTCAAGCTGAAAT-1", "d1.data2_ACATTTCGTGGCTGAA-1", "d1.data2_CAACGATGTAGGTACG-1", "d1.data2_CCTCAGTGTGTTCCAA-1", "d1.data2_TCGATTTTCAACGCTA-1", "d1.data2_GTGTAACCACAGTATC-1", "d1.data2_GTAGCTAGTAGCCAGA-1", "d1.data2_AGGGTGAAGGCTAGCA-1", "d1.data2_AGAGCCCAGGAAGTCC-1", "d1.data2_CAATCGAAGTACCGGA-1", "d1.data2_ACGATGTCAGCCATTA-1", "d1.data2_TATGTTCTCTGGTGGC-1", "d1.data2_AGTAACCGTCGGCACT-1", "d1.data2_AGGAATAAGTCTCGTA-1", "d1.data2_TGGTGATGTGTGCTTA-1", "d1.data2_GAAGCGAGTATGAGAT-1", "d1.data2_CGAGGCTTCAAACGTC-1", "d1.data2_AAAGGGCGTGAGTCAG-1", "d1.data2_TGTTACTCATTGCCGG-1", "d1.data2_AGGTAGGGTAGCTGCC-1", "d1.data2_AGTGCCGGTTCGATTG-1", "d1.data2_GGGTGAATCACTTCTA-1", "d1.data2_CGCATGGAGTCAACAA-1", "d1.data2_AGTTCGACAGAAGCTG-1", "d1.data2_AAGACTCCACGACGCT-1", "d1.data2_GAATCACTCCAAGAGG-1", "d1.data2_AGGGTGAGTCTTCGAA-1", "d1.data2_TCTGTCGAGTCATGGG-1", "d1.data2_CGAGGAAGTCACCGAC-1", "d1.data2_TGAGGAGGTCACCACG-1", "d1.data2_CCTCAACCAATAGGAT-1", "d1.data2_CCCAACTGTATCGTTG-1", "d1.data2_GGAACCCGTGTTGATC-1", "d1.data2_ACTGTGAGTGAGATAT-1", "d1.data2_AGTAACCAGACGACTG-1", "d1.data2_TACCTCGTCTTGCAGA-1", "d1.data2_TCCATCGGTCTTGAAC-1", "d1.data2_GGTAGAGGTAGAGTTA-1", "d1.data2_CTGATCCTCTGGGATT-1", "d1.data2_CACAGGCGTCTGTTAG-1", "d1.data2_CCGCAAGAGCTTTCTT-1", "d1.data2_GTATTGGGTCCACTCT-1", "d1.data2_CGTCAAAAGAGCAGTC-1", "d1.data2_GTGCACGAGGTTTACC-1", "d1.data2_GGTGAAGCACGCGGTT-1", "d1.data2_CTTGAGATCCTCAGGG-1", "d1.data2_CTGTGAACAAGTTCCA-1", "d1.data2_AAACCCACAAACTGCT-1", "d1.data2_TCGTGCTAGCTCCGAC-1", "d1.data2_TCATTACTCGGACCAC-1", "d1.data2_CATGCCTAGACTACCT-1", "d1.data2_CTGCTCATCGGTGCAC-1", "d1.data2_TGGAGGAAGATGACCG-1", "d1.data2_GCGTGCAAGCGATTCT-1", "d1.data2_CCATAAGCAAGTTGGG-1", "d1.data2_AGTCTCCAGAATAGTC-1", "d1.data2_AATGGAAGTACAGAAT-1", "d1.data2_ATACCGAGTGAGTAGC-1", "d1.data2_GCGATCGGTGCCCACA-1", "d1.data2_AGTTCGAGTAGTGATA-1", "d1.data2_CGAATTGAGCCTCTGG-1", "d1.data2_GCTGAATAGGAGATAG-1", "d1.data2_AAGGTAACAATCTCTT-1", "d1.data2_ATTTCTGCAGTCAGCC-1", "d1.data2_TGCTGAACACTTTAGG-1", "d1.data2_TCGTCCAAGGTGCCAA-1", "d1.data2_GAAATGATCTAACACG-1", "d1.data2_CCCAACTAGAGTGACC-1", "d1.data2_TTACGTTTCGACACCG-1", "d1.data2_TTGGGCGAGTGAGTGC-1", "d1.data2_TCATATCTCCCAAGTA-1", "d1.data2_AGTGATCAGCTCCCTT-1", "d1.data2_GTTCATTAGGCGAAGG-1", "d1.data2_TCTCCGAGTTCTAAGC-1", "d1.data2_GAATAGACATTCTCCG-1", "d1.data2_AGAGCAGCAATAACGA-1", "d1.data2_ACATGCACACATATCG-1", "d1.data2_CGAGTGCCAACTGCTA-1", "d1.data2_TTTACCAGTTAGGAGC-1", "d1.data2_GAAACCTCACAATGCT-1", "d1.data2_TCTGTCGCACTGCTTC-1", "d1.data2_TAGGTTGGTTCTTAGG-1", "d1.data2_TAACGACAGGAAAGAC-1", "d1.data2_CTTCCGAGTTCCGGTG-1", "d1.data2_CAGATACAGGAAAGTG-1", "d1.data2_CTACTATGTTCAGGTT-1", "d1.data2_GCAGCCAAGAATCGAT-1", "d1.data2_TCATTGTCACTGAGGA-1", "d1.data2_TGTGCGGTCTGAGCAT-1", "d1.data2_TCAGTCCCATGATGCT-1", "d1.data2_GCGGAAAAGTCATGGG-1", "d1.data2_GTGATGTCAGTTAGGG-1", "d1.data2_TTTACTGCAGTTCACA-1", "d1.data2_AGGGTGACACTAGAGG-1", "d1.data2_CAGATCACAGAGAATT-1", "d1.data2_TCGGATAGTGACCGTC-1", "d1.data2_GGGTCTGGTCCGAAAG-1", "d1.data2_CCCTTAGGTTCGCGTG-1", "d1.data2_ACATCGATCACTGGGC-1", "d1.data2_GCCAACGAGCCTATTG-1", "d1.data2_TCACGGGAGTAGTGCG-1", "d1.data2_ATCAGGTAGCCGCTTG-1", "d1.data2_TAAGCGTTCGTAGCTA-1", "d1.data2_TTTACGTTCGGTAACT-1", "d1.data2_TTCTGTAAGTCTTCGA-1", "d1.data2_CATTGTTGTTTCGATG-1", "d1.data2_GATAGAACAATCAGCT-1", "d1.data2_AGACACTAGGAGCTGT-1", "d1.data2_GATGACTTCTAAGGAA-1", "d1.data2_CGATGCGTCACCATGA-1", "d1.data2_TAGGTTGCAACCGGAA-1", "d1.data2_TCGGGACTCGATACGT-1", "d1.data2_TCATTGTAGTATTGCC-1", "d1.data2_CAAGCTATCGAGAAAT-1", "d1.data2_GACGCTGCACACGGTC-1", "d1.data2_TGCGGCAAGAGGTTAT-1", "d1.data2_CTTGAGAGTTGACTGT-1", "d1.data2_CCGATCTTCCGGCAGT-1", "d1.data2_TCGATTTGTACAGCGA-1", "d1.data2_TTTATGCCAGCTCGGT-1", "d1.data2_AATGGAAAGGAAAGGT-1", "d1.data2_TACGTCCAGGTCATAA-1", "d1.data2_TCCGTGTGTCGTCAGC-1", "d1.data2_GCAGCTGCATGTGACT-1", "d1.data2_CAGCAGCTCTGGACCG-1", "d1.data2_TGGATGTGTTGCGGCT-1", "d1.data2_AACGAAATCGTGGACC-1", "d1.data2_AAAGGTAAGGTTAGTA-1", "d1.data2_CTTGAGATCCAGCCTT-1", "d1.data2_GTGGTTATCTGCGGAC-1", "d1.data2_CGTTAGAGTAGCGTAG-1", "d1.data2_CACGGGTTCTCCTGAC-1", "d1.data2_TGTAGACAGGATGTTA-1", "d1.data2_TCTCACGTCTCACTCG-1", "d1.data2_AGAACCTGTGATGAAT-1", "d1.data2_GCATCGGTCCGCGATG-1", "d1.data2_AGACCCGAGAAGGCTC-1", "d1.data2_GAAATGACAGCACAAG-1", "d1.data2_CCAATTTCAGTGGGTA-1", "d1.data2_GTGCAGCAGGTGGTTG-1", "d1.data2_GGTCTGGTCGAGCCAC-1", "d1.data2_TGTCAGACAGGTTCGC-1", "d1.data2_ACAAAGAAGGCTCTAT-1", "d1.data2_AGGCATTCATCAGTCA-1", "d1.data2_GGGAAGTGTCAGACTT-1", "d1.data2_GATGTTGCAATCTCTT-1", "d1.data2_AAGCATCTCAAGCCTA-1", "d1.data2_CGGACACCATGTGCCG-1", "d1.data2_GTTACAGAGTTCGGTT-1", "d1.data2_CAACGGCTCTTGATTC-1", "d1.data2_TGGGATTAGTCATCCA-1", "d1.data2_GTCGTTCGTCACTTAG-1", "d1.data2_CATTGAGGTTATCTGG-1", "d1.data2_AGTGACTCATGGGAAC-1", "d1.data2_ACTTATCTCAAGGACG-1", "d1.data2_AGACAGGAGGCAGGGA-1", "d1.data2_TCATGAGCAATTGCAC-1", "d1.data2_AAGTACCGTTTGCAGT-1", "d1.data2_GGGATCCAGACATCAA-1", "d1.data2_TTTGTTGAGCACTGGA-1", "d1.data2_CTAGACATCGTCGACG-1", "d1.data2_GACGCTGTCCGTACGG-1", "d1.data2_CATACTTCAAGTTCGT-1", "d1.data2_ACCAAACAGTTTCGGT-1", "d1.data2_AGCCAGCCATGACACT-1", "d1.data2_TGAGGAGGTTCGTTCC-1", "d1.data2_TGGAGGAGTCCTGGGT-1", "d1.data2_CAGATTGTCTGTTCAT-1", "d1.data2_CCAAGCGTCATTGTGG-1", "d1.data2_TATTCCATCCCAATAG-1", "d1.data2_TACGGGCAGCGGATCA-1", "d1.data2_TGCCGAGGTGGAACAC-1", "d1.data2_TTGAGTGCACATTACG-1", "d1.data2_ACTACGAAGGATACCG-1", "d1.data2_GTTCATTGTATCGCTA-1", "d1.data2_TTGAGTGCAGACCATT-1", "d1.data2_AGGACTTGTCATACCA-1", "d1.data2_TAAGCGTGTTCACGAT-1", "d1.data2_TACTTGTGTCTACAGT-1", "d1.data2_GGTCACGTCTGTGCAA-1", "d1.data2_GCTCAAATCACCTTGC-1", "d1.data2_TTCTTCCTCGGTCTGG-1", "d1.data2_TCAATCTAGGAAGTCC-1", "d1.data2_CGTGAATGTCCACACG-1", "d1.data2_GAATAGATCCAACACA-1", "d1.data2_TCATCATAGGCATCTT-1", "d1.data2_CGTGCTTCAATGTCAC-1", "d1.data2_GTCTTTACACTTCCTG-1", "d1.data2_AGGTCTATCGAACCTA-1", "d1.data2_GACGTTAGTGGTTTAC-1", "d1.data2_AATCGTGGTTAAGTCC-1", "d1.data2_AGGTGTTGTTTACTTC-1", "d1.data2_ACTGCAACAGCCGTCA-1", "d1.data2_CCTAAGAGTATGGAAT-1", "d1.data2_CGCCATTCAGCGACAA-1", "d1.data2_GAATCGTCATACCAGT-1", "d1.data2_GTGAGGAAGCCACAAG-1", "d1.data2_GGTGGCTCATGGTACT-1", "d1.data2_AGTGTTGCAGCGCGTT-1", "d1.data2_TTTCGATTCATACAGC-1", "d1.data2_GTGTTAGCATTCTTCA-1", "d1.data2_TACAACGAGTAGGTTA-1", "d1.data2_GATTCTTTCGGTGCAC-1", "d1.data2_ATGCGATCAAATGGAT-1", "d1.data2_TATCTTGAGGAACTAT-1", "d1.data2_TCAAGACGTGCATACT-1", "d1.data2_CGTTAGATCGCCTTTG-1", "d1.data2_CCCAACTAGTAAGAGG-1", "d1.data2_CTGCGAGTCATGGGAG-1", "d1.data2_CTTAGGAAGGAGTACC-1", "d1.data2_ATTATCCTCGCAAGAG-1", "d1.data2_GAAATGAAGACCGCCT-1", "d1.data2_CACTTCGAGCGATTCT-1", "d1.data2_CCCATTGAGGCTTAGG-1", "d1.data2_TAACCAGTCCCTTCCC-1", "d1.data2_ATCATTCAGAACGTGC-1", "d1.data2_ACTTCCGCATCCAACA-1", "d1.data2_CTGTATTGTCAAATCC-1", "d1.data2_TCTACATAGATCCCAT-1", "d1.data2_ATTACCTAGATCGACG-1", "d1.data2_CGTCAAAAGTTCATGC-1", "d1.data2_AGGTCATTCGCGGTAC-1", "d1.data2_CCGTGAGGTCGAAGCA-1", "d1.data2_CTCAACCAGCTAGATA-1", "d1.data2_GGAGATGAGTCAGAGC-1", "d1.data2_GCCAGCAGTTACGGAG-1", "d1.data2_TGAATGCCACCTTCGT-1", "d1.data2_CAGCAATAGCAAGCCA-1", "d1.data2_ACCTACCGTACTCGCG-1", "d1.data2_AGGGTTTTCATCGGGC-1", "d1.data2_TTCTCTCGTTAAGGAT-1", "d1.data2_GTATTGGCAATTGTGC-1", "d1.data2_AGAACAATCGACTCCT-1", "d1.data2_AGGAATAGTGTCCATA-1", "d1.data2_TGTTCATTCCTCATAT-1", "d1.data2_TCTTGCGGTCCCGCAA-1", "d1.data2_TTTGACTTCCTGTAGA-1", "d1.data2_GTCATCCGTTTGCCGG-1", "d1.data2_ACTTCGCTCGGTGTTA-1", "d1.data2_TGTAACGTCATGACAC-1", "d1.data2_ATCCGTCCACGTCGTG-1", "d1.data2_CGGGTCAGTCGAGCTC-1", "d1.data2_GCCAGTGAGGACGGAG-1", "d1.data2_GATAGCTAGTCCTACA-1", "d1.data2_AGATAGACACCTTCCA-1", "d1.data2_TGCAGGCCATGTTTGG-1", "d1.data2_AGCATCATCGTCAGAT-1", "d1.data2_GCACTAATCTACGCGG-1", "d1.data2_AACCCAAAGGGCAAGG-1", "d1.data2_AGGGTGAAGTTAACAG-1", "d1.data2_CTCTGGTAGGATTTAG-1", "d1.data2_GTGGAAGCACCGTGAC-1", "d1.data2_GTCACGGAGTCAAGCG-1", "d1.data2_TAAGCGTAGTCATAGA-1", "d1.data2_TAGGGTTAGAGTGGCT-1", "d1.data2_TCCACGTTCAGCCTCT-1", "d1.data2_CTATCTACAGCTAACT-1", "d1.data2_GGTGATTCATGAGAAT-1", "d1.data2_GAGATGGCATGCCATA-1", "d1.data2_TTTCACATCCTCGCAT-1", "d1.data2_CCGATGGTCGGCTTGG-1", "d1.data2_ATTGGGTGTGGTTCTA-1", "d1.data2_TGGGAAGTCTATGTGG-1", "d1.data2_TCAAGCAAGGAGGTTC-1", "d1.data2_TGGAGAGAGATTAGAC-1", "d1.data2_TCATTGTGTCCTACAA-1", "d1.data2_CAACCTCTCTATACGG-1", "d1.data2_CATGCGGCAGCTATTG-1", "d1.data2_AATCACGGTGCGACAA-1", "d1.data2_CCGGTGAAGAATAGTC-1", "d1.data2_GGTGTCGTCGGTTCAA-1", "d1.data2_CACCGTTTCCGCCTAT-1", "d1.data2_CAAAGAAAGACTTCAC-1", "d1.data2_TTTCGATTCGGTAACT-1", "d1.data2_AGATAGAGTGCGAACA-1", "d1.data2_ATGAAAGTCTCCAAGA-1", "d1.data2_GGCTTTCCAGAAGCGT-1", "d1.data2_GAAGGGTAGCGCTGCT-1", "d1.data2_TCCCATGAGACATGCG-1", "d1.data2_CCCTGATAGTTTGAGA-1", "d1.data2_ATCGTAGGTCACCGCA-1", "d1.data2_AGGCTGCCAACGATTC-1", "d1.data2_ATTTCACAGTAAACGT-1", "d1.data2_TCCATCGGTCATCCCT-1", "d1.data2_TCTATCAAGTCATCGT-1", "d1.data2_GCCAGGTAGTCATTGC-1", "d1.data2_GACCCTTTCGCGCCAA-1", "d1.data2_ACCTACCAGGTCACAG-1", "d1.data2_CGAGGCTCAAATTGCC-1", "d1.data2_GTTGAACAGTATGACA-1", "d1.data2_TTCATTGTCGCTGTCT-1", "d1.data2_CTACTATAGTCTGCGC-1", "d1.data2_GTCCCATTCCGACATA-1", "d1.data2_GTTCGCTAGCAAATCA-1", "d1.data2_ACGTACAAGCGGACAT-1", "d1.data2_TAAGCCAAGTGTACAA-1", "d1.data2_TGAGGTTCATCTCGTC-1", "d1.data2_GTGGAGAGTCGGCTAC-1", "d1.data2_GATGAGGCACCGCTAG-1", "d1.data2_TCTATCAGTGTCATGT-1", "d1.data2_TGCGATACAACACGAG-1", "d1.data2_GTTCCGTAGACTTAAG-1", "d1.data2_GCACATAGTCATAACC-1", "d1.data2_GCTACAACACATATGC-1", "d1.data2_TAACGACCATCTTTCA-1", "d1.data2_ACCTGAACATCATCTT-1", "d1.data2_CTACCTGCACGTACAT-1", "d1.data2_ACTCTCGCAGTCTCTC-1", "d1.data2_CGAGAAGAGTAGTCAA-1", "d1.data2_CACATGATCTGTTCAT-1", "d1.data2_AGTGACTCATAGAATG-1", "d1.data2_AATGCCAAGAAGCCAC-1", "d1.data2_AGTACCACACTATCGA-1", "d1.data2_ACTATGGGTTGCCATA-1", "d1.data2_TGTGCGGGTGTTGACT-1", "d1.data2_TGACCCTAGGCAGGGA-1", "d1.data2_ATCGGATAGGTCTGGA-1", "d1.data2_AGTCAACAGATCCCGC-1", "d1.data2_CGCCATTCAGCAGTAG-1", "d1.data2_GATCAGTAGGTTCATC-1", "d1.data2_TTACTGTCAGGCAATG-1", "d1.data2_TCACGCTAGTAGACCG-1", "d1.data2_GAGCTGCGTTGCGTAT-1", "d1.data2_GGGACTCTCGTTTACT-1", "d1.data2_TGTTACTAGCTCTGTA-1", "d1.data2_GTCCACTGTCATCCCT-1", "d1.data2_CTGATCCGTTACCTGA-1", "d1.data2_AGGGTCCTCAGTCAGT-1", "d1.data2_CTCAATTGTGACAACG-1", "d1.data2_GTGGTTAGTCCAAAGG-1", "d1.data2_AGTCTCCGTCTTGCTC-1", "d1.data2_AGTAGTCCACTTGACA-1", "d1.data2_GTCAAACAGTATGAGT-1", "d1.data2_TAGGAGGGTCAACATC-1", "d1.data2_CTGCCATTCGCAATGT-1", "d1.data2_GTTTACTAGTCACTAC-1", "d1.data2_AGGCTGCAGGTGATCG-1", "d1.data2_TATTGCTTCACCTCTG-1", "d1.data2_TGACAGTGTGACACGA-1", "d1.data2_AGGATCTAGCCTTGAT-1", "d1.data2_CATAAGCGTCAGACTT-1", "d1.data2_TGGGATTAGTGCTAGG-1", "d1.data2_CCACACTCAGGACAGT-1", "d1.data2_GTGCTTCTCATCGTAG-1", "d1.data2_CCACTTGGTGTCTCCT-1", "d1.data2_ACTTATCCATACTTTC-1", "d1.data2_TCGACCTTCTCCAATT-1", "d1.data2_GCCCAGAGTAAGCGGT-1", "d1.data2_AATGACCAGGAGAGTA-1", "d1.data2_TGTTACTAGAGCTGAC-1", "d1.data2_ATCAGGTCAACGTATC-1", "d1.data2_CCTCACATCATCGACA-1", "d1.data2_ATCGGCGGTAACGCGA-1", "d1.data2_CACCGTTTCGTTCGCT-1", "d1.data2_TCCACGTTCCTTATAC-1", "d1.data2_TCGGATAGTTGCTTGA-1", "d1.data2_GAGTGAGGTTCCACGG-1", "d1.data2_GGGCCATGTTCCGCAG-1", "d1.data2_ATCAGGTTCCATAAGC-1", "d1.data2_CACGGGTCAGTCTGGC-1", "d1.data2_CAGTTCCAGATCACTC-1", "d1.data2_TGATGGTCAGTAGTGG-1", "d1.data2_CAACGATCACGGTGTC-1", "d1.data2_AGCGTATGTACGAAAT-1", "d1.data2_GACCCAGGTTTCCCAC-1", "d1.data2_CAACGATAGACAGCTG-1", "d1.data2_GTCTGTCAGGCACTAG-1", "d1.data2_GTTGTGATCTAGCCTC-1", "d1.data2_CAATTTCCAGCATCTA-1", "d1.data2_ACCACAAAGACCATTC-1", "d1.data2_CTCGAGGTCCCATTTA-1", "d1.data2_AGTAGTCCACCGGCTA-1", "d1.data2_ACCAAACAGCGTCTGC-1", "d1.data2_TGGGATTCACCCTAGG-1", "d1.data2_AGTCACAAGAGTCGAC-1", "d1.data2_ACCCAAAGTACCTAGT-1", "d1.data2_CATCGTCAGTCGGCCT-1", "d1.data2_GCACATAGTGGCTTGC-1", "d1.data2_AACGGGATCGCCACTT-1", "d1.data2_TGCATGAGTCATTCCC-1", "d1.data2_CATAAGCTCATGCATG-1", "d1.data2_AGGTTGTCAAATACGA-1", "d1.data2_CCTTCAGGTGCCTGAC-1", "d1.data2_TATGTTCCATGGGCAA-1", "d1.data2_CAATACGTCCCGGTAG-1", "d1.data2_GTCTTTAAGCGTGAGT-1", "d1.data2_TGTTGGATCGTGCACG-1", "d1.data2_CTGTACCCACTTCAAG-1", "d1.data2_CTCTCGATCTCCGCAT-1", "d1.data2_AGGATCTGTTACGATC-1", "d1.data2_CTACGGGCAAATCAGA-1", "d1.data2_TCAGCAATCGACACTA-1", "d1.data2_TCAAGACTCTGTAACG-1", "d1.data2_GCCGTGATCGGTCTAA-1", "d1.data2_CTACCTGTCCACGGAC-1", "d1.data2_ATAGACCCAGGACAGT-1", "d1.data2_CAGGGCTGTAAGAACT-1", "d1.data2_CCTCCAAAGCACGTCC-1", "d1.data2_GTCTAGAAGGTTAAAC-1", "d1.data2_ATTCCCGCAATTCTCT-1", "d1.data2_CTCATGCTCGAGCCTG-1", "d1.data2_TCATTCAAGCTCATAC-1", "d1.data2_CATAAGCCAGGAACCA-1", "d1.data2_TGGGCTGTCTAGAACC-1", "d1.data2_AAGTGAATCTCTGAGA-1", "d1.data2_AGCTCAATCGCAGATT-1", "d1.data2_TAGATCGCAATTGCAC-1", "d1.data2_GATGAGGCAGCGTGCT-1", "d1.data2_TCAATCTGTCTTCTAT-1", "d1.data2_TCAGTGACATTCAGCA-1", "d1.data2_TCCGGGATCCATACTT-1", "d1.data2_ACCCAAAGTGATCGTT-1", "d1.data2_CCACGTTTCATGAGAA-1", "d1.data2_ATCCATTTCCCAGGAC-1", "d1.data2_GCGGATCAGGGAGTTC-1", "d1.data2_GTAGGAGTCTCTGCCA-1", "d1.data2_ATATCCTAGCACCAGA-1", "d1.data2_TCTGGCTGTCTACAGT-1", "d1.data2_GTGATGTCAAACTAGA-1", "d1.data2_CATGCAACAACACTAC-1", "d1.data2_CTCAATTCAAGAATAC-1", "d1.data2_AGTACCATCAAGCCCG-1", "d1.data2_GGTGAAGGTCGAAACG-1", "d1.data2_GACAGCCGTTACCTGA-1", "d1.data2_CAGCAGCAGTGTTGAA-1", "d1.data2_TGTTGAGAGCTGACCC-1", "d1.data2_CGGAGAACACTTGAAC-1", "d1.data2_GGGCTACAGTGATTCC-1", "d1.data2_TGCGACGCACTGGCCA-1", "d1.data2_TCAGCCTTCTACTGAG-1", "d1.data2_CATGCCTTCTGTAAGC-1", "d1.data2_CAAGACTCAACGATTC-1", "d1.data2_GGGACAAGTATCTTCT-1", "d1.data2_TCTGGCTGTTCACGAT-1", "d1.data2_CGCATGGCAGCTAACT-1", "d1.data2_CCCTCAAGTGCCTTCT-1", "d1.data2_TTGCTGCCACTCTCGT-1", "d1.data2_ACCCAAACAACCAACT-1", "d1.data2_TACCCACTCACATCAG-1", "d1.data2_CCTGCATAGGCTTAAA-1", "d1.data2_AGTTAGCCATAGGAGC-1", "d1.data2_TGTTCCGAGGCGCTCT-1", "d1.data2_CCTTCAGTCCATATGG-1", "d1.data2_CACTAAGTCGTAGAGG-1", "d1.data2_ATGAGTCAGCGACTTT-1", "d1.data2_CCCTCAATCCAACTAG-1", "d1.data2_GGAGAACAGTAACGTA-1", "d1.data2_ATTCACTTCCTTCTGG-1", "d1.data2_GTACAACTCTCTTCAA-1", "d1.data2_CACTGAAAGTATGTAG-1", "d1.data2_ATCCTATGTGATTCTG-1", "d1.data2_GACTTCCTCGTGAGAG-1", "d1.data2_GCGTGCACACAGTGTT-1", "d1.data2_AGACTCATCTGCCTGT-1", "d1.data2_CATGCGGTCGGTTGTA-1", "d1.data2_CATAAGCAGTTTCGAC-1", "d1.data2_TATCGCCCAATGACCT-1", "d1.data2_CTAGACATCTCCAAGA-1", "d1.data2_GTCCACTTCGGTCGGT-1", "d1.data2_CATCCGTAGGTTAAAC-1", "d1.data2_AATGGCTAGCAAATCA-1", "d1.data2_ACTGTCCAGGTTTACC-1", "d1.data2_ACAAGCTCAAAGGCGT-1", "d1.data2_CATGAGTCAACCTATG-1", "d1.data2_TACCCACTCGTGCGAC-1", "d1.data2_GATCACATCACCGGGT-1", "d1.data2_CACAGGCAGCCAGTAG-1", "d1.data2_CATAAGCTCATCACTT-1", "d1.data2_TCGTAGATCCATTTCA-1", "d1.data2_CCTCCTCCACGAAAGC-1", "d1.data2_CTCCCAAGTAAGTCAA-1", "d1.data2_TCACACCCAGATACCT-1", "d1.data2_CAACAGTAGTGCACTT-1", "d1.data2_GCACGGTTCAGGCGAA-1", "d1.data2_TCTCACGTCCTACAAG-1", "d1.data2_CCTCAACCACTTTATC-1", "d1.data2_CCTGCATGTGCCTTCT-1", "d1.data2_AGCCACGTCCTACAAG-1", "d1.data2_AACCATGGTGGCAACA-1", "d1.data2_ATTCCCGTCCATGCAA-1", "d1.data2_GAACACTCACAACATC-1", "d1.data2_AAGACTCCACGATAGG-1", "d1.data2_TTCGCTGGTTGTTGCA-1", "d1.data2_CCTTCAGGTGCCCTTT-1", "d1.data2_AACTTCTGTACGTGTT-1", "d1.data2_CTTCTAATCTCTTGCG-1", "d1.data2_TCCGGGATCACGATCA-1", "d1.data2_GTAACACAGAGTCGAC-1", "d1.data2_AACCTTTGTCCGCAGT-1", "d1.data2_GTGGTTAAGAATCCCT-1", "d1.data2_GTTACCCCAAACTAAG-1", "d1.data2_TTTCCTCTCTCCCAAC-1", "d1.data2_CCTCACAGTGGCTACC-1", "d15.data_AGACCATGTAAGATAC-1", "d15.data_TCAATTCGTTAAGACA-1", "d15.data_GTGAGGATCGCCTAGG-1", "d15.data_CTCCAACTCATCCTAT-1", "d15.data_TTCACGCGTCCCGGTA-1", "d15.data_TCACACCGTGGCGCTT-1", "d15.data_GGTAGAGTCACCTCGT-1", "d15.data_CGAGTGCGTCCAGCGT-1", "d15.data_CGAAGTTGTTCGGCTG-1", "d15.data_AAGCGAGTCTGCGTCT-1", "d15.data_AATGGCTTCTGACGCG-1", "d15.data_ATCGGCGCAACTGTGT-1", "d15.data_TCGTGCTTCCATGATG-1", "d15.data_CCGTGAGTCGCGTAGC-1", "d15.data_ACACTGATCCTGGCTT-1", "d15.data_TCGTGCTCAACGTTAC-1", "d15.data_TTTGACTCAGTCGGTC-1", "d15.data_TTCATGTAGAGTTGCG-1", "d15.data_ATGGATCAGCTAGAAT-1", "d15.data_AAGTGAAAGTTGTCGT-1", "d15.data_GTGACGCAGAGCATCG-1", "d15.data_TCACGGGGTAGGGAGG-1", "d15.data_TCTAACTTCTCTATGT-1", "d15.data_AGAGCAGGTTCGAAGG-1", "d15.data_GTCAAGTAGATGGTCG-1", "d15.data_TGCTTCGAGGGAGTTC-1", "d15.data_AGCGCTGCAGAGGTTG-1", "d15.data_TCGTGGGCAGTCGCTG-1", "d15.data_AGAGCAGTCGCATAGT-1", "d15.data_AAATGGAAGCGTCAAG-1", "d15.data_TGCTTGCTCTGGGTCG-1", "d15.data_AGAGAATAGCCTCCAG-1", "d15.data_TAGGTACTCAGTGGGA-1", "d15.data_CCGATCTCAGAAGCGT-1", "d15.data_TACTTCAAGAGTCGAC-1", "d15.data_GAGTGAGAGGTAACTA-1", "d15.data_GTAGGAGTCAGTGTTG-1", "d15.data_CTGTCGTGTCGACTTA-1", "d15.data_TCCGTGTGTGGGCTCT-1", "d15.data_TGTGATGTCGTGAGAG-1", "d15.data_TAGGTTGAGATCCCAT-1", "d15.data_TCGACCTCAGGACATG-1", "d15.data_ACTGATGAGGTTGGTG-1", "d15.data_ATTCGTTGTAGACTGG-1", "d15.data_GTCGTTCAGGCCTAGA-1", "d15.data_AGTCACAAGTGTAGAT-1", "d15.data_TATGTTCGTCTCAAGT-1", "d15.data_CCGTAGGAGGCAGTCA-1", "d15.data_TCGGGTGAGTCATCCA-1", "d15.data_TCGTGCTTCCATTTAC-1", "d15.data_CATGCAAGTAGAGCTG-1", "d15.data_GATCATGGTTGAGAGC-1", "d15.data_CCTCTCCTCGGTCGAC-1", "d15.data_ATTATCCAGAGTTGCG-1", "d15.data_TGACGCGTCGTAGTCA-1", "d15.data_CGAAGTTAGAGGTATT-1", "d15.data_AATGACCGTCGCTTGG-1", "d15.data_TCACACCCATGACGGA-1", "d15.data_TCAGCAAGTGAGTAGC-1", "d15.data_GAGCTGCGTCGCGTTG-1", "d15.data_AGAAGCGTCGTTCATT-1", "d15.data_TGGGCTGAGCGTTACT-1", "d15.data_TTTGACTCACATCCCT-1", "d15.data_ACTCTCGGTGAGCTCC-1", "d15.data_TATCTTGGTCCGGTGT-1", "d15.data_TGTGGCGAGTAACAGT-1", "d15.data_GCGATCGTCGCATAGT-1", "d15.data_TGGCGTGGTCGGTACC-1", "d15.data_CTGTGGGTCTCCAAGA-1", "d15.data_GGGTTATCAAGTGGGT-1", "d15.data_CCCTGATTCTAGATCG-1", "d15.data_TACGGGCTCAGGGATG-1", "d15.data_TCAAGCAGTCGGAAAC-1", "d15.data_GGGAGATTCAACCTTT-1", "d15.data_AGTGTTGGTTCTGAGT-1", "d15.data_GAGTCATGTAGCTAAA-1", "d15.data_TTGAGTGGTCCTTAAG-1", "d15.data_GGATCTAGTGAATGTA-1", "d15.data_GACCTTCGTTCCGCAG-1", "d15.data_CGTGAATAGTTGGAAT-1", "d15.data_AGAACAAAGGTAGCAC-1", "d15.data_TATTTCGTCAGCTGAT-1", "d15.data_GATGTTGTCTGGGAGA-1", "d15.data_TCTCAGCAGAAAGCGA-1", "d15.data_ATCCGTCGTTTGATCG-1", "d15.data_GTCAAGTAGGCGAAGG-1", "d15.data_GAAGGGTGTCGTGTTA-1", "d15.data_AGGCTGCGTAGAGCTG-1", "d15.data_AGAGAATGTGATAGAT-1", "d15.data_TGTTCATGTCACGACC-1", "d15.data_GTAACACTCGTGGCGT-1", "d15.data_CTTCCTTAGTCTCCTC-1", "d15.data_TACCGGGAGCACAAAT-1", "d15.data_ATCGTGAAGTCATGGG-1", "d15.data_GTCATGATCCTCACGT-1", "d15.data_TGTTTGTAGACGGAAA-1", "d15.data_CTGGACGAGCTTCATG-1", "d15.data_TCCATGCGTCGAGATG-1", "d15.data_TTCAGGAGTGCACGCT-1", "d15.data_TCAGTGAAGGCAGTCA-1", "d15.data_GTCCTCACACGCCAGT-1", "d15.data_AGACTCAAGTTCATCG-1", "d15.data_GACACGCCACTCTAGA-1", "d15.data_TGGTGATAGTCGTCTA-1", "d15.data_GTAGTACAGTGCACAG-1", "d15.data_ATTGGGTAGGTTAGTA-1", "d15.data_AGCGATTAGTGTTCAC-1", "d15.data_AGCCAGCTCGTGTGGC-1", "d15.data_CGTGTCTGTAGGAAAG-1", "d15.data_GGTGTTAGTGTTAAAG-1", "d15.data_GTGCTTCCAGTCGAGA-1", "d15.data_CAGCCAGAGAGCGACT-1", "d15.data_CCATCACCAAGAGCTG-1", "d15.data_TCCACGTCATGGGAAC-1", "d15.data_TCATCCGAGAGCTGAC-1", "d15.data_GGGCGTTAGTGCAAAT-1", "d15.data_GGCGTCACAGGAACCA-1", "d15.data_ACGATGTAGCACACCC-1", "d15.data_TCGCTTGCAGCAGTGA-1", "d15.data_GACGCTGTCCTAGAGT-1", "d15.data_GACTGATAGTCAGCGA-1", "d15.data_CCATCACCATAGGAGC-1", "d15.data_GTCGTTCCATCATTTC-1", "d15.data_GCTTCACAGACGACGT-1", "d15.data_ATGAGTCAGTCTCTGA-1", "d15.data_CTAAGTGTCAGGAAAT-1", "d15.data_GGAGGTACACCAGTAT-1", "d15.data_GGCTTGGAGGCGTTAG-1", "d15.data_CATTCATCAGCGACCT-1", "d15.data_GCCAGTGTCGTTCGCT-1", "d15.data_TCTTTGAGTACAGGTG-1", "d15.data_GAGGCAAAGCCATTTG-1", "d15.data_CTACTATGTTGCGTAT-1", "d15.data_GTTACCCAGATACATG-1", "d15.data_TTTACTGAGCTTAAGA-1", "d15.data_GTCTCACGTAGGAAAG-1", "d15.data_CCTTCAGCAACGTATC-1", "d15.data_GCGTGCAGTCCTCCTA-1", "d15.data_AACGGGAGTGTATTCG-1", "d15.data_TCGACCTAGACGTCCC-1", "d15.data_GCTGCAGGTTGTCTAG-1", "d15.data_TCGGGCACACAATGTC-1", "d15.data_GATCCCTAGGCAGTCA-1", "d15.data_GTAGAAAAGTTAGTAG-1", "d15.data_AAGCGAGTCGTTCTAT-1", "d15.data_TGGGCGTCATCTTCGC-1", "d15.data_GTTCCGTGTTTATGCG-1", "d15.data_TAGGTTGGTTATGGTC-1", "d15.data_TTAGGCATCGCCTTGT-1", "d15.data_AGACTCAGTGAAAGTT-1", "d15.data_TTGTGGAGTACCAGAG-1", "d15.data_GACATCAAGCGCCGTT-1", "d15.data_GACGTTAGTCTCGGGT-1", "d15.data_GGAGAACAGGTGCCAA-1", "d15.data_ACTTCCGTCGAATCCA-1", "d15.data_TCATACTGTCTTCATT-1", "d15.data_TGTTGGACAGAGAAAG-1", "d15.data_ACGTAACGTATGGTAA-1", "d15.data_GAAGGACCAGCCCAGT-1", "d15.data_CGATCGGCATGACCCG-1", "d15.data_CCGTAGGAGGAACGAA-1", "d15.data_GATCACACAAGCAGGT-1", "d15.data_GATAGAATCGCCGAGT-1", "d15.data_ACAGAAATCTCCGTGT-1", "d15.data_ACTTATCGTGTCGATT-1", "d15.data_CTGATCCTCGAGAGAC-1", "d15.data_TAAGCGTTCGTCGGGT-1", "d15.data_GTGGCGTAGCCTTCTC-1", "d15.data_TATCGCCGTGTGCCTG-1", "d15.data_TATTCCATCGAACGCC-1", "d15.data_AGGGTCCAGGTCGTGA-1", "d15.data_GTCTCACCACAACGTT-1", "d15.data_TGAGCGCGTACCGGAA-1", "d15.data_AGAGCAGTCGGAATTC-1", "d15.data_CAATTTCTCATGGTAC-1", "d15.data_GAAGAATGTGACTCTA-1", "d15.data_TCATGGAGTGAACCGA-1", "d15.data_ATCATTCAGCTCGCAC-1", "d15.data_CGGAATTTCCTCAGGG-1", "d15.data_GAAGAATGTCTCACAA-1", "d15.data_GGTTAACCACTGCACG-1", "d15.data_TATCCTATCATTCTTG-1", "d15.data_ACTGTCCGTGATGAAT-1", "d15.data_TAAGCCAGTTTGATCG-1", "d15.data_CACGGGTAGCAGTACG-1", "d15.data_ATTCCTAGTTGTGGAG-1", "d15.data_GCACGGTCACACGGTC-1", "d15.data_AGCTTCCAGGTGATCG-1", "d15.data_GGGTCTGGTCTAGGCC-1", "d15.data_TTAGTCTTCTTACCAT-1", "d15.data_GTCAAGTCATCTTCGC-1", "d15.data_CTGAGGCAGAACAGGA-1", "d15.data_TTCATTGGTAGAGGAA-1", "d15.data_CTTCTCTGTCGAATTC-1", "d15.data_GCCAACGCACTAAACC-1", "d15.data_AGGATAACATTCGATG-1", "d15.data_TTCCTTCGTTTGATCG-1", "d15.data_TTTCGATAGAGAGTGA-1", "d15.data_GTTAGTGGTAACAAGT-1", "d15.data_ATGAGGGAGCTAGATA-1", "d15.data_ATGTCTTGTTTCGATG-1", "d15.data_GAATCGTTCGTAGAGG-1", "d15.data_TCTTCCTCACAAATCC-1", "d15.data_AGGGTTTGTTGTTGAC-1", "d15.data_GGGTGTCCATTGAGGG-1", "d15.data_ATAGGCTCATACAGGG-1", "d15.data_GAGCTGCTCGTAGTGT-1", "d15.data_GAGGGTATCTGGCTGG-1", "d15.data_CGCCAGATCGGAAACG-1", "d15.data_ACATCCCTCAAGGACG-1", "d15.data_AGAGCCCTCGTTAGAC-1", "d15.data_CAAGAGGTCAGACAAA-1", "d15.data_GACAGCCCAGGTGGAT-1", "d15.data_TGGATCACACAAGTGG-1", "d15.data_GGAGCAACAATTTCTC-1", "d15.data_AATCGTGAGATGGCGT-1", "d15.data_TACTTGTGTATCGTTG-1", "d15.data_CGATGGCTCGCTCCTA-1", "d15.data_TCTCTGGAGATTGCGG-1", "d15.data_CATACAGAGCCGTAAG-1", "d15.data_AGACTCAGTCGGTAAG-1", "d15.data_ACTATTCGTAGTCGTT-1", "d15.data_CATCGGGTCGATGCTA-1", "d15.data_TGGGCGTTCGTTCCTG-1", "d15.data_AAGTCGTGTCAGTCTA-1", "d15.data_TTTGGTTAGATCCCAT-1", "d15.data_GCACGTGGTCGGCTAC-1", "d15.data_TTGATGGTCGGAGCAA-1", "d15.data_CTGCAGGGTTGCCTAA-1", "d15.data_TATATCCAGGTGAGCT-1", "d15.data_TAGATCGCATTCAGGT-1", "d15.data_ATCACAGAGCAGGCAT-1", "d15.data_CTACATTCAGACACAG-1", "d15.data_CCTATCGGTACATTGC-1", "d15.data_GTCGTTCTCCATTGCC-1", "d15.data_GTCGTTCCATCGTGCG-1", "d15.data_AATCACGTCGTAGAGG-1", "d15.data_ATGGGTTAGGGATCAC-1", "d15.data_CTGTGGGGTATGGGAC-1", "d15.data_TTGGGATGTATAATGG-1", "d15.data_CTTTCAACAGTCGCTG-1", "d15.data_GGGATGAGTTAGAAGT-1", "d15.data_AGTTAGCGTGTTGATC-1", "d15.data_TTGCATTTCCATGCAA-1", "d15.data_CAGGGCTAGCAGCAGT-1", "d15.data_AATCGACAGCGCTGAA-1", "d15.data_GTCTAGACAACATCGT-1", "d15.data_TACCGAAGTGGAAGTC-1", "d15.data_CAGTGCGGTCAAGCCC-1", "d15.data_TTGCCTGTCAAGCGTT-1", "d15.data_CATGGTAGTTGCGGAA-1", "d15.data_CATTTCATCGGTCAGC-1", "d15.data_GTGTCCTGTTTCGTAG-1", "d15.data_CCCTTAGTCTCGACGG-1", "d15.data_GATTCGACACTACCCT-1", "d15.data_ATCAGGTTCTGTACAG-1", "d15.data_AAACGCTGTGGATGAC-1", "d15.data_AGGCATTAGGCTATCT-1", "d15.data_CGGGTGTGTGGCTACC-1", "d15.data_GAGTGAGAGCAGAAAG-1", "d15.data_GTCAGCGGTGCTCGTG-1", "d15.data_CATACAGCAATCGCAT-1", "d15.data_AACAGGGAGATCCCAT-1", "d15.data_TGTGTGATCTCTGCCA-1", "d15.data_ATGCCTCGTAAGATAC-1", "d15.data_CATGCTCGTGCATGAG-1", "d15.data_ATCACGACACGACTAT-1", "d15.data_CTTGATTGTTGTGCAT-1", "d15.data_CTATAGGGTGATGAAT-1", "d15.data_AGTAGCTAGTGATAAC-1", "d15.data_CCTCCTCTCGAAACAA-1", "d15.data_AATGAAGGTTTAGAGA-1", "d15.data_GAATCGTGTGTGAGCA-1", "d15.data_TCAAGTGCACCAGACC-1", "d15.data_ACGTCCTGTCTTGCGG-1", "d15.data_GTCAGCGTCACTGGTA-1", "d15.data_TGTGAGTAGGAACGCT-1", "d15.data_TCCGAAAAGTCGAGGT-1", "d15.data_CATGAGTGTTAATGAG-1", "d15.data_TACCGAAGTCATCAGT-1", "d15.data_CGTTCTGAGAAGCGAA-1", "d15.data_TGGTACACAATGTCAC-1", "d15.data_TGCTTGCCAAATGGAT-1", "d15.data_GTGGAAGTCGACGAGA-1", "d15.data_ACGTAACCAGCTCTGG-1", "d15.data_GATGGAGCATGCCGAC-1", "d15.data_TGGGCTGTCATGCCAA-1", "d15.data_TAACACGTCTTAGCAG-1", "d15.data_AGCTACACATAGTCAC-1", "d15.data_CCTTCAGTCTCGTTTA-1", "d15.data_TAGGAGGGTTCGGACC-1", "d15.data_TTTGTTGGTGACTCGC-1", "d15.data_ATGATCGGTAGCTGAG-1", "d15.data_ACTACGAGTCCGTACG-1", "d15.data_GGTGAAGAGGCACCAA-1", "d15.data_TGTTCCGCAGAGTCAG-1", "d15.data_ACCAAACAGTGTACCT-1", "d15.data_GTGCGTGCAGCGAACA-1", "d15.data_CCTGTTGTCTGCTTAT-1", "d15.data_CGGAACCCACAGCTTA-1", "d15.data_GCCCGAACACATTACG-1", "d15.data_TGCGATAAGCTGAGTG-1", "d15.data_CTTAGGACAGCGTGAA-1", "d15.data_CAATCGAAGCGACCCT-1", "d15.data_ATGTCCCGTCGAACGA-1", "d15.data_GTGCGTGGTTACAGCT-1", "d15.data_AGGAGGTCAGGCTACC-1", "d15.data_GAATCGTGTGGACAGT-1", "d15.data_ACGTACATCGTGGCTG-1", "d15.data_GAGACTTCACGGTAGA-1", "d15.data_TATTGGGCAAGCTGTT-1", "d15.data_TCAAGCACAGGAGGTT-1", "d15.data_ATAGGCTCAAATTGGA-1", "d15.data_CTTGATTTCATCGTAG-1", "d15.data_GCCGTGAGTAATGCTC-1", "d15.data_TCGCTTGAGATGATTG-1", "d15.data_CCTCATGTCCGTCCTA-1", "d15.data_AGGACTTTCTCCGTGT-1", "d15.data_GTTGTCCGTTAAGAAC-1", "d15.data_TTCCGGTTCGACTCCT-1", "d15.data_CATCCCAAGTGGAAGA-1", "d15.data_CAGATACGTGAGGAAA-1", "d15.data_CATCCGTGTGTCCGGT-1", "d15.data_GACGCTGGTCTGATCA-1", "d15.data_AGGGTGACATTACGGT-1", "d15.data_AGCATCAGTTAGGCTT-1", "d15.data_TTTCCTCCAAGAGTAT-1", "d15.data_CAGGTATGTCTTTCTA-1", "d15.data_TCAGGTATCAACACCA-1", "d15.data_TCGCACTCAGAACTCT-1", "d15.data_CTAACTTAGCTTGTGT-1", "d15.data_ATTTCTGCACTCATAG-1", "d15.data_ACACTGATCGTTGTAG-1", "d15.data_GGGATCCTCTAGAACC-1", "d15.data_TTGCCTGGTTAAAGTG-1", "d15.data_TGGCGTGGTGGTACAG-1", "d15.data_ACCTGAACAGTAGAGC-1", "d15.data_TCTCAGCCAATGCAGG-1", "d15.data_GGCTGTGAGCCTGTGC-1", "d15.data_GCTTTCGAGGAAAGGT-1", "d15.data_GGGACCTCAGCCGGTT-1", "d15.data_CTACATTCAAGTCGTT-1", "d15.data_GTAAGTCCAGGTCAGA-1", "d15.data_GAAGTAACACTGTGTA-1", "d15.data_CCCGGAAAGACCATTC-1", "d15.data_TGGGAAGAGACTTAAG-1", "d15.data_GTGTCCTGTCACGACC-1", "d15.data_CTAACTTAGTACCCTA-1", "d15.data_GAGGGATTCCAAGAGG-1", "d15.data_AGTTCCCGTAGTACGG-1", "d15.data_ACGATGTGTAAGGTCG-1", "d15.data_TGGGATTGTAGAGTTA-1", "d15.data_AATTTCCAGTCTTGGT-1", "d15.data_CACGGGTCAGTCAGCC-1", "d15.data_ACGGAAGAGATGCTGG-1", "d15.data_ACTGATGAGTCAACAA-1", "d15.data_TCTAACTTCCCATGGG-1", "d15.data_TTCAATCTCTGTAAGC-1", "d15.data_GACCGTGCAAGAAACT-1", "d15.data_TTTACTGTCTCGAACA-1", "d15.data_TCAGTCCAGATCGCCC-1", "d15.data_GGTAATCCATGATGCT-1", "d15.data_CTTACCGCATGTGACT-1", "d15.data_TCGCACTTCCTGGGAC-1", "d15.data_ATTCCCGGTGCAGTGA-1", "d15.data_GAGGGTACATACACCA-1", "d15.data_GCCAACGGTTGCAAGG-1", "d15.data_TCGTCCAAGGGCAGTT-1", "d15.data_TAGGTACAGCGTGTCC-1", "d15.data_TGTTCCGAGCCTGAAG-1", "d15.data_TCGAACAGTTGCAAGG-1", "d15.data_CCACTTGAGGAAAGAC-1", "d15.data_GTCCCATTCTATTGTC-1", "d15.data_TGAGCATGTTAGAGAT-1", "d15.data_GCTCAAAAGAGCAAGA-1", "d15.data_GTGGTTAGTGTAACGG-1", "d15.data_AGGGTTTCACACACTA-1", "d15.data_GCGTTTCGTGACGTCC-1", "d15.data_TGTCCACTCCAGCAAT-1", "d15.data_ATGAGTCCAGACAAAT-1", "d15.data_ATGCCTCCACGCAAAG-1", "d15.data_CAGCAATGTGACAGGT-1", "d15.data_GTTCTATCAGAGCCCT-1", "d15.data_TCTAACTAGATGAAGG-1", "d15.data_AACAAGACATCCGGCA-1", "d15.data_CCGAACGCAGTACTAC-1", "d15.data_TAATTCCGTATCGTTG-1", "d15.data_TGCTGAACAAGTCGTT-1", "d15.data_GTCTGTCTCAGTGTGT-1", "d15.data_GGGACAAGTTTCGTAG-1", "d15.data_CTCAGGGAGCCATTTG-1", "d15.data_GATTGGTTCGTCACCT-1", "d15.data_CTCATGCTCAATCCAG-1", "d15.data_GTTGTAGAGATCGCCC-1", "d15.data_CGCAGGTGTGCTAGCC-1", "d15.data_TCATGAGGTCATATGC-1", "d15.data_GTAATCGCAGGTCCGT-1", "d15.data_AATGAAGGTTGGGACA-1", "d15.data_AGGATCTCAATACGAA-1", "d15.data_GGGTCTGTCCGTTGAA-1", "d15.data_GTAGGAGGTGATTCAC-1", "d15.data_GTGGAGAGTCAACACT-1", "d15.data_TACTTCAGTACAACGG-1", "d15.data_ATCGTGAAGTCCCGGT-1", "d15.data_GTGGCGTAGTCGAAAT-1", "d15.data_ACGATGTGTGCGCTCA-1", "d15.data_TCCTCCCTCTAAGAAG-1", "d15.data_CGTAAGTCACGGGTAA-1", "d15.data_CGCAGGTCAGGTGAGT-1", "d15.data_GCAGTTAAGGTCACAG-1", "d15.data_AGGGAGTTCAGTGCGC-1", "d15.data_CATGAGTCATTGCCTC-1", "d15.data_GTGAGGATCTGAGGTT-1", "d15.data_ATACCTTTCGTAGCCG-1", "d15.data_GGAATGGGTATCAGCT-1", "d15.data_TGAGGAGCAAGAAACT-1", "d15.data_ACGTAGTAGAGTGACC-1", "d15.data_TTTGTTGAGGAGGGTG-1", "d15.data_TAGTGCAAGCCACCGT-1", "d15.data_CACACAAGTGTACAGG-1", "d15.data_GCCTGTTCAGCGTATT-1", "d15.data_GGAAGTGTCATTTGGG-1", "d15.data_TGGAGGAGTCCACTTC-1", "d15.data_AGGGCCTTCTGGGCGT-1", "d15.data_GGTGTTATCATTTGGG-1", "d15.data_GCCAGTGGTGTACGCC-1", "d15.data_GTTCGCTCAGAAATTG-1", "d15.data_ATCGCCTGTGTGCCTG-1", "d15.data_TTTGGAGAGCGACTAG-1", "d15.data_TCGCAGGTCCTCTAGC-1", "d15.data_TTAGGGTCACCTGAAT-1", "d15.data_CTCTCAGCAGTATTCG-1", "d15.data_TCTCCGAAGCTCGGCT-1", "d15.data_CATGAGTCAGAAGTTA-1", "d15.data_AGGAAATTCGTCGATA-1", "d15.data_TTAATCCCATAATCGC-1", "d15.data_TAAGCGTAGTATCTGC-1", "d15.data_CGTCAAACATTCAGGT-1", "d15.data_AACCACAGTAGTTAGA-1", "d15.data_CGAGGCTAGGTTGAGC-1", "d15.data_TACGTCCGTAGCACAG-1", "d15.data_AGACAGGGTGTAAATG-1", "d15.data_CGGGCATCAGAGTGTG-1", "d15.data_GCGGAAAGTCGGATTT-1", "d15.data_AACAAAGAGATAGCTA-1", "d15.data_TTAGTCTAGAGGTGCT-1", "d15.data_GTCTTTAGTGGTACAG-1", "d15.data_AATGGAAAGGGTCTTT-1", "d15.data_GAGGCAATCGTGCGAC-1", "d15.data_ATGGATCGTGCATGAG-1", "d15.data_TGTTGGAAGTGGAAGA-1", "d15.data_GCAACCGCAGTGTACT-1", "d15.data_TCCGGGAGTAAGGTCG-1", "d15.data_TCAGCAAAGATCGCTT-1", "d15.data_GTGCTTCCACGGTAGA-1", "d15.data_CGAGTTACAGAGAAAG-1", "d15.data_ATTCATCGTTAAAGTG-1", "d15.data_ACCCTTGTCTACGGTA-1", "d15.data_ACTTTGTAGCGTGTCC-1", "d15.data_GAAACCTGTCCCTGAG-1", "d15.data_TGCTCCAGTTCAGCGC-1", "d15.data_CTGGACGAGAAGCGCT-1", "d15.data_CACGAATCACAGTGAG-1", "d15.data_CGAGGAAAGATAGTCA-1", "d15.data_GTGTTCCCATTGTCGA-1", "d15.data_GCGGAAAAGTATCTGC-1", "d15.data_CTGTAGAAGTGACACG-1", "d15.data_AGTCACAAGTGGAATT-1", "d15.data_GGAGAACTCCAGCCTT-1", "d15.data_CGTTGGGTCCTAACAG-1", "d15.data_AGAAGCGGTGACACGA-1", "d15.data_AGCTTCCAGTCTGGAG-1", "d15.data_GGAGGTACATAGCACT-1", "d15.data_GGCTTGGTCCACTTTA-1", "d15.data_TTCCTTCTCTTGGCTC-1", "d15.data_TGCGGCATCAGGACGA-1", "d15.data_CATAGACCAAATACAG-1", "d15.data_AGAGAGCAGACCATGG-1", "d15.data_CTATAGGAGCTACTGT-1", "d15.data_CCTGTTGGTAGATTGA-1", "d15.data_CGTTGGGGTTTGAAAG-1", "d15.data_ACATCGAAGGAACTAT-1", "d15.data_TCGGATATCGGCCCAA-1", "d15.data_GAATAGAGTTGTGGAG-1", "d15.data_TGTAGACAGGGAGTTC-1", "d15.data_AGAAGTAGTCGCACAC-1", "d15.data_CACAACATCTAACGGT-1", "d15.data_ACGATCAAGTGGATTA-1", "d15.data_TCGTGCTCACAACGAG-1", "d15.data_CAGTTCCGTAGGCAGT-1", "d15.data_TAATCTCAGACTGTTC-1", "d15.data_AGCTCAATCAACTGAC-1", "d15.data_GCATGATAGGCCACTC-1", "d15.data_CATGCGGAGCAGTACG-1", "d15.data_TGTTCTAGTGACCTGC-1", "d15.data_TGGTAGTTCAGACATC-1", "d15.data_TCAAGTGAGGGCGAAG-1", "d15.data_CGAGGAATCACTTGGA-1", "d15.data_TTCCTTCGTTGCTAGT-1", "d15.data_GAAACCTAGGGCGAAG-1", "d15.data_AACAGGGAGATGCAGC-1", "d15.data_GTTTACTAGGTCCCGT-1", "d15.data_TGTTTGTGTAGCCCTG-1", "d15.data_ATTACTCGTATGACAA-1", "d15.data_AGCGATTAGCATCAGG-1", "d15.data_TGAGTCATCAATCGGT-1", "d15.data_AATAGAGTCGCATTAG-1", "d15.data_TAGACTGGTTGACGGA-1", "d15.data_TCCACGTTCAACCGAT-1", "d15.data_GATGAGGGTTGTAGCT-1", "d15.data_CGACAGCGTCTCAGAT-1", "d15.data_CATCGTCTCGAGAATA-1", "d15.data_ATTCACTCAGTCGGAA-1", "d15.data_TTGATGGCAGAACGCA-1", "d15.data_AGGATAAAGCATCCTA-1", "d15.data_CTCAGTCTCGGTTAGT-1", "d15.data_TTCAATCTCAAATGCC-1", "d15.data_TTTACCAAGCCTGAGA-1", "d15.data_TTCCTAAGTCTGTAGT-1", "d15.data_CATCGTCGTTGCTAGT-1", "d15.data_TGGAGAGTCAGGGATG-1", "d15.data_AGGAGGTTCTCTCAAT-1", "d15.data_ATGAAAGAGGACGCAT-1", "d15.data_AAGGAATAGGATACCG-1", "d15.data_GAGGCAAAGTACAGAT-1", "d15.data_GTCATTTGTAGTTCCA-1", "d15.data_GGGTCACAGATTGATG-1", "d15.data_CCGATCTGTATCAAGA-1", "d15.data_TTTACGTCAACGGCTC-1", "d15.data_TCCTGCAGTGGGCTTC-1", "d15.data_GTCGTAACACCTGCAG-1", "d15.data_TAGCACAGTTGGGCCT-1", "d15.data_GCACGTGCACTGAGTT-1", "d15.data_TAAGTCGCACTCCACT-1", "d15.data_CAGATACAGCAGCAGT-1", "d15.data_GGCACGTTCGGACTGC-1", "d15.data_GTGCAGCCAGACACAG-1", "d15.data_GTTGAACCATGGCCCA-1", "d15.data_TTGAGTGTCGCATGAT-1", "d15.data_CGGGACTCACGCTTAA-1", "d15.data_GTCAAGTAGGCATCGA-1", "d15.data_AAGCCATGTACAGTTC-1", "d15.data_TTGGTTTAGCAAACAT-1", "d15.data_TACCGAACAAGCAATA-1", "d15.data_TCCGAAATCTCGCTTG-1", "d15.data_TTCGGTCAGGTATAGT-1", "d15.data_GTGAGCCGTTATAGAG-1", "d15.data_CAGTTAGAGAACAGGA-1", "d15.data_AACCTTTTCACACCGG-1", "d15.data_ATCGGCGGTGTTGATC-1", "d15.data_ACCAAACTCATTTGCT-1", "d15.data_CTTTCGGAGGCCCACT-1", "d15.data_TCATTTGGTGGTAACG-1", "d15.data_TAGCACAGTTAGCGGA-1", "d15.data_TGCGGCACACGGATCC-1", "d15.data_ACAACCAAGTGGCAGT-1", "d15.data_TTTCAGTTCTCGTGAA-1", "d15.data_GCTCAAATCGTGCAGC-1", "d15.data_AGGCATTCAATGAACA-1", "d15.data_CATCCGTCAGATCCTA-1", "d15.data_CATCGTCGTTCCTAAG-1", "d15.data_CGTGTCTGTTACACTG-1", "d15.data_TGCGGGTGTCCTACGG-1", "d15.data_AAATGGAGTTTCGGCG-1", "d15.data_TACGGGCTCACCATGA-1", "d15.data_GATCGTATCAAATGCC-1", "d15.data_TCAATTCAGAACTCCT-1", "d15.data_ACGATGTGTTAACAGA-1", "d15.data_CGAGTGCGTTGTGGAG-1", "d15.data_GTGCACGCACTGTGTA-1", "d15.data_GTCTACCGTCGAGCTC-1", "d15.data_TCAGTGAGTGTTCCTC-1", "d15.data_GCAACATTCCAACTAG-1", "d15.data_CCTGCATCACAGCTTA-1", "d15.data_TGAGGTTGTTCTCACC-1", "d15.data_GTTACCCTCCTCAGAA-1", "d15.data_AGTCAACGTGCAATAA-1", "d15.data_CGGAACCGTTACGGAG-1", "d15.data_AGCGCTGAGGTTTGAA-1", "d15.data_GAAGGGTTCGATACAC-1", "d15.data_CTTCTCTTCAACTACG-1", "d15.data_GAGTGTTAGGATTACA-1", "d15.data_CGCATGGAGCAGGCTA-1", "d15.data_AGTGACTAGCATCAAA-1", "d15.data_TCAGCAAGTTGATCGT-1", "d15.data_AGTAACCGTGATTCAC-1", "d15.data_CATTCTAGTCAGACGA-1", "d15.data_CGATGGCGTAGGCAAC-1", "d15.data_GGGTTATAGTTACGGG-1", "d15.data_AGCTACAGTTGCATGT-1", "d15.data_TCATTTGGTCTTAGTG-1", "d15.data_CTTCTAAAGAAGTATC-1", "d15.data_CTATCTACAAGTGCAG-1", "d15.data_TCATGGAGTCTGTGTA-1", "d15.data_TAACCAGGTGACCGTC-1", "d15.data_AGAGAGCAGCAACCAG-1", "d15.data_CATCCACTCAGAGCAG-1", "d15.data_TCTGGCTCAACGATCT-1", "d15.data_TCAGGGCCACGGGCTT-1", "d15.data_CGAAGGACATACCAGT-1", "d15.data_GCCGATGCAAGTGGCA-1", "d15.data_CACTGGGGTGTTGAGG-1", "d15.data_GCCCGAAGTATTTCCT-1", "d15.data_CGTTGGGTCCATACAG-1", "d15.data_ACTCCCACAGGAGACT-1", "d15.data_TATCAGGCAACGAGGT-1", "d15.data_GACCGTGAGACAACAT-1", "d15.data_TTTCAGTGTCTTCAAG-1", "d15.data_GGCTTGGGTGCATGAG-1", "d15.data_AACTTCTTCCACGTCT-1", "d15.data_ACACGCGTCTCATGCC-1", "d15.data_AAGACAACAGAGTTCT-1", "d15.data_TTTACCAGTCGCATCG-1", "d15.data_TTCCTAAAGCGTCAGA-1", "d15.data_CTGCCATAGCCACCGT-1", "d15.data_TACTTGTCAGGTTCGC-1", "d15.data_GTAATCGGTAGAGACC-1", "d15.data_ACGGTCGGTCAAAGTA-1", "d15.data_GACCCAGAGGGCTAAC-1", "d15.data_CCGGTAGAGGTGATAT-1", "d15.data_CCTCAACCAGTAGTTC-1", "d15.data_TCATGTTTCCGTGGGT-1", "d15.data_TTGTTCAGTGCCTATA-1", "d15.data_AGAAATGCAGGCTACC-1", "d15.data_TCCTTTCGTAGTCCTA-1", "d15.data_GAGTTGTAGATGGCAC-1", "d15.data_ACTTCCGAGAGGACTC-1", "d15.data_GTGGAAGGTTGACTGT-1", "d15.data_GAGTTGTCAGGACGAT-1", "d15.data_GCCCAGACACTGTCGG-1", "d15.data_TTACAGGGTTGATGTC-1", "d15.data_TGTGAGTGTCATCGCG-1", "d15.data_TGGATCAAGACTAAGT-1", "d15.data_CGAGAAGCATGCGTGC-1", "d15.data_TGTGATGCAGCTAACT-1", "d15.data_ACACAGTGTGACCGAA-1", "d15.data_TCACTATCAAAGCGTG-1", "d15.data_ATGACCACATCAACCA-1", "d15.data_TGAGACTTCATCACAG-1", "d15.data_ATTGGGTGTCCAGGTC-1", "d15.data_TACGCTCGTGCCCAGT-1", "d15.data_ACGATGTAGGGCAATC-1", "d15.data_TTGCATTAGACATAAC-1", "d15.data_TTTCAGTGTCTGCGCA-1", "d15.data_TCTCCGAAGGATTACA-1", "d15.data_GGGACCTAGTGGAAGA-1", "d15.data_GTGTTCCCAACTGATC-1", "d15.data_TTCGATTCATCAGCAT-1", "d15.data_CAGATCACAGAGATTA-1", "d15.data_TACGGGCTCTGTCCCA-1", "d15.data_TAACACGAGCTAAACA-1", "d15.data_AATGAAGTCGCTTAAG-1", "d15.data_TCCCATGAGAAGAACG-1", "d15.data_AGACACTTCGTTGTAG-1", "d15.data_CATCGTCTCACTGTCC-1", "d15.data_GTAGAGGGTCGCATGC-1", "d15.data_ACCATTTTCGTAGAGG-1", "d15.data_CCTCTCCTCTGAGGCC-1", "d15.data_TTGCGTCCAGCTGAGA-1", "d15.data_TCCTGCATCGCTGATA-1", "d15.data_AGCGATTGTTAGCGGA-1", "d15.data_TCATATCCAAATCAAG-1", "d15.data_TCATTCATCACCATCC-1", "d15.data_CGAAGGATCTCTGCTG-1", "d15.data_ATAGAGAGTGTCCTAA-1", "d15.data_TCGAAGTGTAGCTGTT-1", "d15.data_CCGATCTAGATGTTAG-1", "d15.data_CGGACACTCCCAGCGA-1", "d15.data_AATCGTGGTTTCCATT-1", "d15.data_CAATCGATCGCTCTAC-1", "d15.data_GGGAGTACACGTCGTG-1", "d15.data_GTTACCCAGTTCATGC-1", "d15.data_TTTCGATAGTTAACAG-1", "d15.data_CTGGTCTTCATCGACA-1", "d15.data_GTAAGTCTCCGATCGG-1", "d15.data_CTCAGAAGTGCAACAG-1", "d15.data_TCACTCGTCCTACCGT-1", "d15.data_TTGTTGTGTTTCCCAC-1", "d15.data_GGGTGTCCAGCGTACC-1", "d15.data_CTTCTAAGTTATGACC-1", "d15.data_AAGCATCCACTACGGC-1", "d15.data_CAATTTCGTATGTCAC-1", "d15.data_GATAGCTGTCACTTAG-1", "d15.data_CTACCCAGTAACACGG-1", "d15.data_CTGGCAGTCTTCGTAT-1", "d15.data_TTTACCAAGTGATGGC-1", "d15.data_TATCTTGGTAACACCT-1", "d15.data_AGGCATTAGTTTCGGT-1", "d15.data_AGGGTGACAGGGACTA-1", "d15.data_AGCCAGCGTTGCGGCT-1", "d15.data_GACAGCCTCGTTCTCG-1", "d15.data_AGGTGTTCAGCTAACT-1", "d15.data_GGCAGTCGTGCGAACA-1", "d15.data_ACGGAAGTCTGACGCG-1", "d15.data_TCATGTTGTTGCTAGT-1", "d15.data_CTACAGATCCGCAAAT-1", "d15.data_GTATTGGAGGTAGTCG-1", "d15.data_AATCACGGTCACCGCA-1", "d15.data_GTTAGACAGGTTCCAT-1", "d15.data_GCCAGCACAGTGGTGA-1", "d15.data_AACCACAAGGGCCCTT-1", "d15.data_AGACTCAGTGCCTTCT-1", "d15.data_ACGGGTCTCCTACAAG-1", "d15.data_GACGTTAGTTCCGCGA-1", "d15.data_TCATACTAGCTCAGAG-1", "d15.data_ATTACCTGTTAGGCTT-1", "d15.data_AGAGCAGCAATGTCTG-1", "d15.data_AAGATAGCACGACCTG-1", "d15.data_AGGCCACTCAGTGTCA-1", "d15.data_CCCGAAGAGACCAGAC-1", "d15.data_GAGTTACCAGGTCAAG-1", "d15.data_AGTCATGTCTTCTCAA-1", "d15.data_GGGTTATCACACGCCA-1", "d15.data_TCGTAGAGTCATGGCC-1", "d15.data_GTTACGAAGTCTGCAT-1", "d15.data_ATTCAGGTCTTTCTAG-1", "d15.data_TCGTCCAGTGTACGCC-1", "d15.data_GGCAGTCTCCCAGCGA-1", "d15.data_ATCGATGCAGAGTTGG-1", "d15.data_TCCTAATCACTAAACC-1", "d15.data_ATTCATCAGGACTAAT-1", "d15.data_TTCCGGTTCGCGTAGC-1", "d15.data_CACGAATCAAGCCTGC-1", "d15.data_TTACAGGTCAGTGCGC-1", "d15.data_GGCAGTCTCCAGCCTT-1", "d15.data_TCTCCGATCATTACGG-1", "d15.data_ATTGGGTTCTGGACCG-1", "d15.data_CAGAGCCCAAGTGGAC-1", "d15.data_TGGCGTGCACAATGAA-1", "d15.data_AGACAAAAGAAGCGCT-1", "d15.data_ATTCCATCACAGGATG-1", "d15.data_ATCGTAGGTGTAGGAC-1", "d15.data_GGTGTCGGTGTTCATG-1", "d15.data_CTGCCATCAATTTCTC-1", "d15.data_CAGGGCTTCACGATCA-1", "d15.data_AGATAGAAGGGAGGCA-1", "d15.data_CTGCGAGCAATTCGTG-1", "d15.data_TGCATCCAGACCAAGC-1", "d15.data_TCGGTCTTCCGATTAG-1", "d15.data_TGATGGTGTAAGACCG-1", "d15.data_TTTGATCAGTGGAAGA-1", "d15.data_CTGGACGAGGTTGCCC-1", "d15.data_TCGCTCAGTGGTATGG-1", "d15.data_AGTTCGATCCACCCTA-1", "d15.data_AAAGAACTCTTCGTGC-1", "d15.data_AGAGCAGTCTAGACCA-1", "d15.data_ATGCGATTCAGAGTGG-1", "d15.data_GAGGGATAGTTGCCCG-1", "d15.data_GGATCTAGTCATACCA-1", "d15.data_GGAATGGAGGTTATAG-1", "d15.data_TCTCTGGAGATGTTCC-1", "d15.data_GCATCTCCAAGCCCAC-1", "d15.data_GTTGTAGAGTTGAAGT-1", "d15.data_ACACAGTCAGAGGCAT-1", "d15.data_CCGTTCACAGCTGTCG-1", "d15.data_GGCAGTCTCGTGGGAA-1", "d15.data_AATGCCAGTTCTCCTG-1", "d15.data_TGCGGCAGTGGTCTCG-1", "d15.data_TTGTTTGAGAGTCGAC-1", "d15.data_CTAGGTAAGCTGTGCC-1", "d15.data_ACGCACGAGTCGAGGT-1", "d15.data_CGGTCAGGTGCAACGA-1", "d15.data_GAGTTGTCATAGAAAC-1", "d15.data_TGGGAAGTCTTACGTT-1", "d15.data_TATTTCGGTAAGCGGT-1", "d15.data_TCGGGTGTCGATCCAA-1", "d15.data_TGTGCGGCATGTCTAG-1", "d15.data_AGACTCATCAGCTAGT-1", "d15.data_CTACCTGAGTAAACTG-1", "d15.data_CATCAAGAGCGTTCCG-1", "d15.data_CACGAATGTGCCGTTG-1", "d15.data_GAAATGACACCATTCC-1", "d15.data_CATTCTACAGATCCTA-1", "d15.data_TTGCGTCTCACGAGGA-1", "d15.data_CTACCTGGTTGCATGT-1", "d15.data_GAAGCCCGTTTGGGAG-1", "d15.data_TGACAGTAGACGACTG-1", "d15.data_CATTCTATCCACTGGG-1", "d15.data_TTGTTTGGTGAACCGA-1", "d15.data_TCACTATAGAGGCGTT-1", "d15.data_TTAGGCAGTATAGCTC-1", "d15.data_GCATTAGAGGACCCAA-1", "d15.data_TGTACAGTCTCCAAGA-1", "d15.data_ACCATTTCAACTGGTT-1", "d15.data_CACAGATTCGATACGT-1", "d15.data_GGACGTCAGGGAGGTG-1", "d15.data_GGAACCCTCGGTGTAT-1", "d15.data_GTGAGTTTCGGTCATA-1", "d15.data_TAGTGCAGTACGACAG-1", "d15.data_GAATCGTCAGTAGGAC-1", "d15.data_TGTCCCAGTAGTCACT-1", "d15.data_CCGGGTAAGCTACTAC-1", "d15.data_TGAGGAGAGCTGTCCG-1", "d15.data_TACCTGCAGGTCCCTG-1", "d15.data_TCCGGGAAGTTACGTC-1", "d15.data_GGGATGACATCAGCTA-1", "d15.data_AGTTAGCGTGTGTTTG-1", "d15.data_TCATACTTCAAGGCTT-1", "d15.data_GTACAGTGTTATCCAG-1", "d15.data_AGAACAAGTAGAATGT-1", "d15.data_TCTGGCTGTAGCGTCC-1", "d15.data_GGCTTTCTCGACGATT-1", "d15.data_AAGCCATGTGGAGAAA-1", "d15.data_TTTACCAAGTTGCTCA-1", "d15.data_CATCGTCAGCAATTAG-1", "d15.data_CAGGTATCACGCGTGT-1", "d15.data_ATTCTACTCTTTACAC-1", "d15.data_GAGTTACTCTTCGCTG-1", "d15.data_GTGATGTTCGGTAAGG-1", "d15.data_TTGAACGTCGGAGTGA-1", "d15.data_GTCTTTAAGTATGCAA-1", "d15.data_CTGAGGCAGCTCCACG-1", "d15.data_CGCGTGATCTGAGGCC-1", "d15.data_TCGTCCAGTCAGTCCG-1", "d15.data_GACAGCCGTTGCACGC-1", "d15.data_ACAGAAAAGTGATTCC-1", "d15.data_TGTTACTGTGGAGGTT-1", "d15.data_TGGAGGATCGTTATCT-1", "d15.data_CTACATTGTTAGGAGC-1", "d15.data_AGGACTTAGACCATAA-1", "d15.data_ACTTATCGTCCTACAA-1", "d15.data_GTGATGTAGCCTCTGG-1", "d15.data_TTTACCATCGGTGTAT-1", "d15.data_CACCGTTTCCTTGAAG-1", "d15.data_CATGAGTAGCATTGAA-1", "d15.data_ATCGATGCATCCCGTT-1", "d15.data_GGTTCTCCAAATGGCG-1", "d15.data_ATCGGATAGTTCTCTT-1", "d15.data_CAGATCACAGTCAGTT-1", "d15.data_GACTGATGTAGGGAGG-1", "d15.data_GGGTCACTCTTTCAGT-1", "d15.data_CATAAGCTCGGTCGGT-1", "d15.data_TGTAACGAGTCCCAAT-1", "d15.data_CATCGTCCACGTGTGC-1", "d15.data_AGTTAGCGTGGACAGT-1", "d15.data_TTGGTTTCAACGACTT-1", "d15.data_ATCTTCATCGTGTGGC-1", "d15.data_CCGTGAGTCGGCCAAC-1", "d15.data_CAATACGAGAACCCGA-1", "d15.data_ATAGACCTCTACTATC-1", "d15.data_GAAGGACTCCGTGTCT-1", "d15.data_GAAGGGTTCTTGATTC-1", "d15.data_ACTTTCACATTAAAGG-1", "d15.data_TCACACCAGAGCTGAC-1", "d15.data_CTCAGTCAGGAACGCT-1", "d15.data_GAATCGTAGCATGCAG-1", "d15.data_TGATGCAAGATTGCGG-1", "d15.data_TGGATGTGTTTCTATC-1", "d15.data_GCACGGTAGCTTCGTA-1", "d15.data_GGCAGTCGTCTTTATC-1", "d15.data_CCACGAGCACCAGCTG-1", "d15.data_TACCTCGTCGGAAACG-1", "d15.data_CGAGGAAAGATGAATC-1", "d15.data_TACGCTCCATCGCCTT-1", "d15.data_GATGATCAGCCAACCC-1", "d15.data_CTCATGCTCGTAGTGT-1", "d15.data_TGTTTGTAGGCCATAG-1", "d15.data_CATCCACTCTGTAAGC-1", "d15.data_ATGAGGGGTTGGGTTT-1", "d15.data_CACTGTCCAGGTGACA-1", "d15.data_CCGGACAGTCTGCGCA-1", "d15.data_GTTACAGTCTGATTCT-1", "d15.data_CTTAGGATCAAGTGGG-1", "d15.data_GGAGATGGTCAACATC-1", "d15.data_ATGGATCAGGATTACA-1", "d15.data_AGAAGCGGTCCGAAAG-1", "d15.data_GAGCCTGAGCAGATAT-1", "d15.data_ACTGTCCGTTAGTTCG-1", "d15.data_AGGTTACTCATCTGTT-1", "d15.data_ACCGTTCTCCACCTGT-1", "d15.data_TTCTTGAAGGGATCTG-1", "d15.data_TTTACGTGTACGGGAT-1", "d15.data_GCAGTTATCGTAATGC-1", "d15.data_ACAAGCTTCATTACCT-1", "d15.data_TCGGGTGCACTCTCGT-1", "d15.data_AAAGAACAGATGGGCT-1", "d15.data_CAGAGCCGTTGTCTAG-1", "d15.data_ACTTCGCTCCCTCATG-1", "d15.data_CTCATCGCAGAGGCTA-1", "d15.data_GTCTTTACATTACGGT-1", "d15.data_GTTGTAGGTTAGGACG-1", "d15.data_TTTATGCCACTTCATT-1", "d15.data_TCATTCATCTTTGATC-1", "d15.data_CTACTATGTAAGCGGT-1", "d15.data_TCAGGTAAGCCACAAG-1", "d15.data_GGGTGAACACAGCCAC-1", "d15.data_ATCAGGTTCCGCGATG-1", "d15.data_GAAGAATAGAATCGAT-1", "d15.data_TATCTGTTCATTGTTC-1", "d15.data_TTTGGAGAGGTGCATG-1", "d15.data_AGGACGATCCAGGACC-1", "d15.data_TTGGGTAGTTGCGGCT-1", "d15.data_GTACAGTCATAGGTAA-1", "d15.data_TACGGTAGTAGGTCAG-1", "d15.data_GATCACATCTGTGCAA-1", "d15.data_TCTGCCATCCTTGGAA-1", "d15.data_AGGGTCCGTTACGTAC-1", "d15.data_ACTTAGGTCTCTTGCG-1", "d15.data_TGCCGAGTCCATTCGC-1", "d15.data_GGAATGGAGACTCTTG-1", "d15.data_AAAGTCCGTGGGTCAA-1", "d15.data_CGTTCTGGTGCCAAGA-1", "d15.data_CACGAATTCTCGTGGG-1", "d15.data_GTGCGTGGTTGTATGC-1", "d15.data_CAAGGGATCAGGTAAA-1", "d15.data_TATCCTAAGAGTGTGC-1", "d15.data_TGATTTCCAACACGTT-1", "d15.data_GATGACTGTAGGTTTC-1", "d15.data_TATCCTATCTCGCAGG-1", "d15.data_ACACCAAGTCGTATGT-1", "d15.data_AGTAGCTAGATGCTTC-1", "d15.data_CCGTGAGCAAATACAG-1", "d15.data_GCGTGCAGTCCCGTGA-1", "d15.data_TAGCACAGTATGAGGC-1", "d15.data_ACGGTCGGTAATGCTC-1", "d15.data_TGATGCACATGAAGGC-1", "d15.data_TTGCATTGTTCGTACA-1", "d15.data_TCCATGCGTTGGCTAT-1", "d15.data_TTCCAATCATACCGTA-1", "d15.data_AGTGATCTCGCGTGAC-1", "d15.data_CCGATCTGTTCTTAGG-1", "d15.data_ATCCACCGTGACCGAA-1", "d15.data_GTGGGAAAGCGCTGAA-1", "d15.data_GGGCTCAGTGACATCT-1", "d15.data_TTCATTGAGTCGCCCA-1", "d15.data_CGTTGGGGTGAGTAAT-1", "d15.data_CTGTATTTCCACAGCG-1", "d15.data_GGTTCTCAGCATGAAT-1", "d15.data_ACCGTTCTCTTCGTAT-1", "d15.data_GCACTAAGTCGCACAC-1", "d15.data_TTTACCAGTACCCGAC-1", "d15.data_ACTCCCAAGTCTGGTT-1", "d15.data_TTCGGTCCACCCATAA-1", "d15.data_GAGTGAGCAAACAGGC-1", "d15.data_ATGGAGGAGGTTTGAA-1", "d15.data_CACTGAATCGAGATGG-1", "d15.data_CGCATAACAACAAGTA-1", "d15.data_GTGCGTGAGAAAGCGA-1", "d15.data_TTGGGTAAGCCATATC-1", "d15.data_GGAGGATCATAGACTC-1", "d15.data_TGCGGCAGTCCAGCCA-1", "d15.data_TGTCCTGAGTCAGAGC-1", "d15.data_TCTTTGATCCGCTGTT-1", "d15.data_TGATGCATCCCGAATA-1", "d15.data_ATCGTGAGTGCTGCAC-1", "d15.data_GACATCACAACGGTAG-1", "d15.data_AGATGCTGTGTCCGTG-1", "d15.data_AGTTCGAAGTTAACAG-1", "d15.data_GGTCACGGTGAATGAT-1", "d15.data_TGAGGTTAGCTGAAGC-1", "d15.data_TCAATTCTCCAAGCTA-1", "d15.data_GGGTCACTCTAAGCGT-1", "d15.data_CAGATTGGTATGGAGC-1", "d15.data_TGACGCGGTGTCTTCC-1", "d15.data_AGTCATGGTCATGGCC-1", "d15.data_AGCGATTAGCCATTTG-1", "d15.data_ATTCACTCAACAGATA-1", "d15.data_TGGAGGACAAGTCCCG-1", "d15.data_GTATTGGTCTGGAAGG-1", "d15.data_ATCACGAAGACAGCTG-1", "d15.data_AAGTGAACAACTGCTA-1", "d15.data_CTGTCGTCAGATTCGT-1", "d15.data_ACGTTCCCAACTTGCA-1", "d15.data_ATCCACCGTGCAGTGA-1", "d15.data_GAGGGTACATTCACCC-1", "d15.data_GCGAGAAAGTCGAGGT-1", "d15.data_AACACACCATCGATAC-1", "d15.data_TCGGGCATCTTTCCGG-1", "d15.data_AGTCACATCTTTCTAG-1", "d15.data_CCGCAAGTCGGCTGAC-1", "d15.data_TCGTCCATCTGGCTGG-1", "d15.data_CGAATTGAGCGTGTTT-1", "d15.data_CTAGGTAAGCCTATTG-1", "d15.data_AAGGAATCAGGGTCTC-1", "d15.data_TGACTCCAGCGTGCTC-1", "d15.data_GAATAGAAGCGCGTTC-1", "d15.data_AGGATAAAGTGGCAGT-1", "d15.data_TGTCCTGTCATCACCC-1", "d15.data_GTTGTAGAGGTAATCA-1", "d15.data_TCATGGATCCGAACGC-1", "d15.data_CCATCACGTATCGTAC-1", "d15.data_CTCCCTCGTTACACAC-1", "d15.data_TCTTGCGTCCGTGCGA-1", "d15.data_ACATCGAAGGACAACC-1", "d15.data_TAGACTGGTCCGACGT-1", "d15.data_TGGGATTCATAGTCAC-1", "d15.data_ACCAACAGTAACAAGT-1", "d15.data_ACATGCAAGCTGAAGC-1", "d15.data_GTGGAGATCCCGAGGT-1", "d15.data_TCAGGTAAGTAATACG-1", "d15.data_GTGAGGAGTATTGACC-1", "d15.data_CAGCAGCGTGCAATAA-1", "d15.data_TTGGTTTCATGAGAAT-1", "d15.data_GATTGGTGTCGTCAGC-1", "d15.data_TGAGCATGTTGATCGT-1", "d15.data_CCTAAGAAGCCGAATG-1", "d15.data_ATGGGAGGTTGTCTAG-1", "d15.data_GTCCACTTCCGAGTGC-1", "d15.data_CGAGAAGGTTCAAACC-1", "d15.data_CATCGTCTCCTCATAT-1", "d15.data_GTCGCGATCAGTCTTT-1", "d15.data_CCACAAATCCCTCGAT-1", "d15.data_CGTCAAAGTTTAGACC-1", "d15.data_TTTAGTCCAATCTCTT-1", "d15.data_TGCACGGGTAGTATAG-1", "d15.data_AGTGATCCACAACGAG-1", "d15.data_ATCCATTGTTTAGACC-1", "d15.data_AGTCACAGTGCGGATA-1", "d15.data_TCGGGCAGTCCTCCTA-1", "d15.data_CAGGTATAGGTAGCCA-1", "d15.data_TCATGCCCAAACTAAG-1", "d15.data_CGTGATACATGTGACT-1", "d15.data_ATCGATGTCCATGAGT-1", "d15.data_TGATTCTAGATCGCCC-1", "d15.data_GTTACCCCACAACATC-1", "d15.data_GTCTTTAAGGGCAAGG-1", "d15.data_ATGCGATCAACCCTCT-1", "d15.data_CTGTCGTCAACTCGAT-1", "d15.data_GGAGCAAGTACAAAGT-1", "d15.data_GTCAAGTAGCCAAGTG-1", "d15.data_CCTCTAGCATCCGAGC-1", "d15.data_AGGGAGTCATTCATCT-1", "d15.data_TTGGGCGTCGAAATCC-1", "d15.data_TAACCAGGTTCAGCTA-1", "d15.data_GCCATGGAGAGTGACC-1", "d15.data_AACAGGGTCTAGAACC-1", "d15.data_TTCCGTGTCCACACAA-1", "d15.data_AGGTTACGTCCCAAAT-1", "d15.data_GGTAACTGTCTTGCTC-1", "d15.data_ATCGTAGTCGATAACC-1", "d15.data_TCTCACGGTGGCTACC-1", "d15.data_CACTGAAGTTACCGTA-1", "d15.data_GGTAATCGTGGCTAGA-1", "d15.data_TGTTTGTGTCGTCGGT-1", "d15.data_ACTTAGGGTCGTTGCG-1", "d15.data_AACCCAAGTTTGTGGT-1", "d15.data_CGAGGCTGTCACATTG-1", "d15.data_TGACTCCGTAATTAGG-1", "d15.data_ATCCGTCGTTGCCAAT-1", "d15.data_ACCTGAAGTTTCACTT-1", "d15.data_ATGCCTCAGTTGGGAC-1", "d15.data_GGGTTATCACTTGGGC-1", "d15.data_TCATTACTCCTTATCA-1", "d15.data_GTTACGAGTATCCTTT-1", "d15.data_AATCACGGTATCACCA-1", "d15.data_CAACAGTTCCAGTGTA-1", "d15.data_TTCCGTGTCAGCTTCC-1", "d15.data_ATACCTTCACCAACAT-1", "d15.data_TATCTGTGTCGACTGC-1", "d15.data_AGACAGGGTTGCTGAT-1", "d15.data_GTTAGTGGTGGGACAT-1", "d15.data_GAGGCCTAGATGACCG-1", "d15.data_CACAGATCAGCAGTGA-1", "d15.data_TTAGTCTCAATACGAA-1", "d15.data_GTAGGAGCACCCGTAG-1", "d15.data_AGGGAGTTCCTGGGTG-1", "d15.data_CTCCCTCAGCACACAG-1", "d15.data_AAAGGATAGTAGTCCT-1", "d15.data_GGGTATTTCGTCGATA-1", "d15.data_CTATCCGGTGCACGCT-1", "d15.data_TGCAGTAGTCCTCATC-1", "d15.data_CGATGGCCAATGACCT-1", "d15.data_ACAAAGAAGGGCAAGG-1", "d15.data_ATTCCTACACTACTTT-1", "d15.data_CCAATTTTCATGAGTC-1", "d15.data_CGGAATTGTTTGCAGT-1", "d15.data_GAGGGTACACAGTCCG-1", "d15.data_TTGTGGAGTGCAACGA-1", "d15.data_TTACCGCGTCAGCTTA-1", "d15.data_CGAGGAACACCATAAC-1", "d15.data_CTACGGGGTGCATTTG-1", "d15.data_GCCAGGTTCCCGTGTT-1", "d15.data_GAAGCGACATGGCACC-1", "d15.data_GGAGGATCATGGGATG-1", "d15.data_AACTTCTTCCGCACTT-1", "d15.data_CGATCGGAGGTCATAA-1", "d15.data_GACGTTACACGCAAAG-1", "d15.data_ATACCGAGTGGAGAAA-1", "d15.data_AATTTCCCAGAAATTG-1", "d15.data_GCACTAAGTGGTCTTA-1", "d15.data_TAGGAGGTCAAACGTC-1", "d15.data_TTGCGTCAGTCACTAC-1", "d15.data_CATGCCTAGGGAGGGT-1", "d15.data_GGGTCACTCTGTCTCG-1", "d15.data_GTGCTGGCATAATGCC-1", "d15.data_GAGGGATAGTCCCGGT-1", "d15.data_AACTTCTCATAAGCGG-1", "d15.data_CCGAACGCATTGTACG-1", "d15.data_TGTTGGAAGGAAGTAG-1", "d15.data_ACATCCCAGCAGGCTA-1", "d15.data_TGTTCTACACTTGTCC-1", "d15.data_GGTTGTAAGGGCGAGA-1", "d15.data_AGGGTCCGTAAGAACT-1", "d15.data_GGTTCTCGTATTCCTT-1", "d15.data_TCCTTTCAGGGCGAAG-1", "d15.data_CTGTGGGGTCTACAAC-1", "d15.data_AGAGAATTCTTACGTT-1", "d15.data_TTGGATGGTCCTTGTC-1", "d15.data_GGGCTCACAAATCAGA-1", "d15.data_CATGCAAAGGGTACAC-1", "d15.data_GTAATGCTCAAATAGG-1", "d15.data_ATGGGTTTCGTGTGAT-1", "d15.data_CTCCTTTTCTGCAGCG-1", "d15.data_TGCTGAATCCACAGGC-1", "d15.data_TTGTGTTCATTGCCTC-1", "d15.data_ACAGGGAAGCGAGGAG-1", "d15.data_GTAACCAGTTTAGAGA-1", "d15.data_CAGGCCAGTACAGTAA-1", "d15.data_GTCGAATGTCCCGGTA-1", "d15.data_CAGATACTCATTGAGC-1", "d15.data_GAAGGGTTCGCTTACC-1", "d15.data_GTCGTTCAGTTTGGCT-1", "d15.data_CGTGATAAGTCTCGTA-1", "d15.data_GACACGCTCAAAGGTA-1", "d15.data_ATTACCTTCGCGTGCA-1", "d15.data_ACCCTTGGTGCGTCGT-1", "d15.data_GTCTAGACAGGCACTC-1", "d15.data_ACGTTCCAGTTACTCG-1", "d15.data_AGACTCATCCATATGG-1", "d15.data_TTCTAGTGTCTCAAGT-1", "d15.data_CGCGTGATCTAGACCA-1", "d15.data_GCCGATGCACATGTTG-1", "d15.data_TGTCCACCAGTAACGG-1", "d15.data_TATCGCCCAGACGGAT-1", "d15.data_ATCGTGAGTATAGGGC-1", "d15.data_CGAGGAAAGTATGTAG-1", "d15.data_CTCAATTGTGCCTGAC-1", "d15.data_ACCTGAAAGAGATGCC-1", "d15.data_TGTTCTACACTTCATT-1", "d15.data_ACCAAACGTCGAAGCA-1", "d15.data_CTCAGTCCAACTTCTT-1", "d15.data_CATCGGGTCCTGATAG-1", "d15.data_AGTCATGAGATGGTCG-1", "d15.data_TCTTAGTCAGAACGCA-1", "d15.data_GACCAATTCAGACTGT-1", "d15.data_GGTCTGGGTTGTGTTG-1", "d15.data_ATGAGTCAGTTTCGAC-1", "d15.data_GAAGGGTTCTACCACC-1", "d15.data_ATGAGTCAGTTTGGCT-1", "d15.data_TGGTGATGTATTTCGG-1", "d15.data_AAATGGAGTATGAGGC-1", "d15.data_AAAGAACGTTGCCGAC-1", "d15.data_TTCGCTGCATGACGGA-1", "d15.data_GAGCTGCGTATTGGCT-1", "d15.data_CGGACACAGCTATCCA-1", "d15.data_GGTGAAGTCAGCGTCG-1", "d15.data_ATTTACCGTCATCGCG-1", "d15.data_TGGGCGTAGAAACCAT-1", "d15.data_TATCTGTTCGCCAATA-1", "d15.data_TTGGATGAGAGTTCGG-1", "d15.data_GATGCTAAGTATGGCG-1", "d15.data_TTTACGTCAAACGTGG-1", "d15.data_GTTACCCAGTTTGGCT-1", "d15.data_TATGTTCAGTTAGTGA-1", "d15.data_GTCATCCTCTAACACG-1", "d15.data_TATCAGGGTTGCCAAT-1", "d15.data_GCTACCTAGATGTAGT-1", "d15.data_AGAAGTATCAAAGGAT-1", "d15.data_GGAAGTGCATAGGAGC-1", "d15.data_GGGTGTCTCCGACGGT-1", "d15.data_ACATCGAGTCCCGCAA-1", "d15.data_TTTGACTCAACGACAG-1", "d15.data_CTCCACATCCCAGGAC-1", "d15.data_CAGGTATCAACCACAT-1", "d15.data_AATGGAAGTACTAACC-1", "d15.data_TAGTGCATCTGCTCTG-1", "d15.data_CTGCGAGAGAGGATCC-1", "d15.data_GAGGGATGTTCAAACC-1", "d15.data_TATCTTGTCAAACCTG-1", "d15.data_AGCATCAAGCAGGTCA-1", "d15.data_GGGACTCCACTCACTC-1", "d15.data_TGAGCGCAGAAACTGT-1", "d15.data_TGCTCCATCTCCACTG-1", "d15.data_GAGTGAGCACCGCTGA-1", "d15.data_GCTACCTGTCTTAGTG-1", "d15.data_TATCTTGCACTTGGCG-1", "d15.data_TCATTCACACGTACAT-1", "d15.data_GCACGGTGTGGCTGCT-1", "d15.data_TTCAGGAGTGCAATGG-1", "d15.data_TTGTGGAAGCTTTCTT-1", "d15.data_CAGCACGCAAGCGCAA-1", "d15.data_ATTCATCGTACAGCGA-1", "d15.data_TGACTCCTCTCATTGT-1", "d15.data_GTCGCGAGTACATTGC-1", "d15.data_GTTTGGAGTGTGACCC-1", "d15.data_AGCTCAAGTCCGACGT-1", "d15.data_ACGGGTCTCGCTTGAA-1", "d15.data_AACAAAGGTACGAGTG-1", "d15.data_CCACACTCACAAGGTG-1", "d15.data_CACCAAAAGGCTTAAA-1", "d15.data_AGAGAATAGCAACAAT-1", "d15.data_CTCACTGCAAGTGCTT-1", "d15.data_GGAGATGTCCTCGCAT-1", "d15.data_TAGGTTGTCAAAGCCT-1", "d15.data_TTGCGTCCAAGGACAC-1", "d15.data_TCAAGACTCCGGTTCT-1", "d15.data_TTCTAACCAACGCCCA-1", "d15.data_TTCTGTAGTACAAGTA-1", "d15.data_GTCTAGAAGCCTGACC-1", "d15.data_ATCACGAAGTAGGATT-1", "d15.data_CTTGATTGTGCACATT-1", "d15.data_CCTCATGCACTTGAAC-1", "d15.data_TTACGTTCAAGACCGA-1", "d15.data_GGGTGAATCCGTAGGC-1", "d15.data_GGCAGTCAGAATTCAG-1", "d15.data_TTCTAACTCTGCATAG-1", "d15.data_GTGGTTAGTGCACATT-1", "d15.data_GCGGATCTCTGAGGTT-1", "d15.data_GAGTTTGGTACACTCA-1", "d15.data_ATCGCCTTCAAATGCC-1", "d15.data_GCAGGCTTCGTGGACC-1", "d15.data_GTGTTAGAGTTGCATC-1", "d15.data_CTGCGAGTCTCGTTTA-1", "d15.data_CGATCGGAGGAAAGTG-1", "d15.data_GTGACGCTCCATGCAA-1", "d15.data_TGTTCTAAGCATAGGC-1", "d15.data_CCTCAACTCCACCTCA-1", "d15.data_AGTGATCTCGATCCCT-1", "d15.data_CGAATTGAGACTCAAA-1", "d15.data_TAACGACGTCAACCAT-1", "d15.data_CTGCATCGTACGCTAT-1", "d15.data_CATACAGGTGGGTATG-1", "d15.data_CTACTATTCTAGGCCG-1", "d15.data_GGAGGATCACACCTTC-1", "d15.data_TGCTCGTCAAGTGCTT-1", "d15.data_TGATCTTCAACCGACC-1", "d15.data_TTGTTTGCATTGCTGA-1", "d15.data_ACTCCCAAGTAGGTTA-1", "d15.data_TCGGTCTTCATGGATC-1", "d15.data_GAAACCTCAAATGGCG-1", "d15.data_ACTGTCCGTTCGATTG-1", "d15.data_TGATCTTGTCACTCGG-1", "d15.data_CACTTCGTCGACCAAT-1", "d15.data_ACAGAAAGTGACTCTA-1", "d15.data_CGTAGTACAGAACGCA-1", "d15.data_CGATCGGGTGCATGTT-1", "d15.data_AATGAAGGTCTCTCAC-1", "d15.data_ATTCTACGTGATTAGA-1", "d15.data_GTGCTGGGTGGACCTC-1", "d15.data_CGAGGCTTCTAGTACG-1", "d15.data_TTCACCGGTCATCACA-1", "d15.data_TTGCGTCAGGACCCAA-1", "d15.data_ATCACAGAGGGCATGT-1", "d15.data_TGCAGGCTCTAGTGTG-1", "d15.data_GTGCTGGTCAATCTTC-1", "d15.data_CATCGTCCAGCCTACG-1", "d15.data_AACCCAAAGAAATTCG-1", "d15.data_CCGCAAGTCGACCCAG-1", "d15.data_ACAAAGAGTGAGATCG-1", "d15.data_ATACTTCAGTCTAGAA-1", "d15.data_TTTCCTCAGGCCTGAA-1", "d15.data_CAGATACTCAGAGTTC-1", "d15.data_TTACCGCGTGGAACCA-1", "d15.data_CATTCTAGTTTGAAAG-1", "d15.data_TCATTTGGTCTTACAG-1", "d15.data_ATGTCCCTCCTTCTGG-1", "d15.data_GAAGGGTTCTTCCGTG-1", "d15.data_CAGCCAGAGTCTAGAA-1", "d15.data_ACTTTCAAGGTGGCTA-1", "d15.data_TTCCGGTCATGCGGTC-1", "d15.data_GGGCTACTCTAGTGTG-1", "d15.data_ACACGCGGTCAGGAGT-1", "d15.data_ATCCGTCCAGCGATTT-1", "d15.data_CCACCATAGCCTCTGG-1", "d15.data_TGGAACTCAAAGAGTT-1", "d15.data_CCAATGATCCGTGACG-1", "d15.data_ACTTAGGGTAGAGATT-1", "d15.data_AGACACTTCACGGAGA-1", "d15.data_ACTTTCACAGAGCTAG-1", "d15.data_AGCGTATTCCTAACAG-1", "d15.data_GAAGCGATCATTGCGA-1", "d15.data_TGGAACTTCTATCGCC-1", "d15.data_GTTGTGATCCATTCGC-1", "d15.data_CATAAGCAGGGCCTCT-1", "d15.data_GAGTGAGGTTCAAGTC-1", "d15.data_GTAATCGCAACCGATT-1", "d15.data_TCGGTCTAGTGATAAC-1", "d15.data_GCTTGGGGTGATTAGA-1", "d15.data_TTTGTTGAGAATAACC-1", "d15.data_GATCACAAGGATCATA-1", "d15.data_TACCGGGTCTAGCCAA-1", "d15.data_CACAACATCATCACAG-1", "d15.data_CTTGAGACAGGAAGTC-1", "d15.data_TTTACCATCGTAGCCG-1", "d15.data_GACAGCCAGAACTGAT-1", "d15.data_CTTCCTTCAATCCTAG-1", "d15.data_AGATCCAGTGTAGTGG-1", "d15.data_CACGTTCTCCGCACTT-1", "d15.data_CCCTCTCCATGATCTG-1", "d15.data_ACTGCAAGTTTCCCAC-1", "d15.data_CCTCAGTCAACCGGAA-1", "d15.data_ACACGCGCACACTGGC-1", "d15.data_AAGATAGGTTTCGTAG-1", "d15.data_CATACAGCAGACAATA-1", "d15.data_GGAGGATAGTATGCAA-1", "d15.data_CATGCAAGTGTAAACA-1", "d15.data_GCCAGCACAACTCATG-1", "d15.data_ACATCGATCATTGCTT-1", "d15.data_GTTGAACTCTGTCCCA-1", "d15.data_AAATGGACAGGTGACA-1", "d15.data_CATACTTCAGACCCGT-1", "d15.data_GTCTTTAAGACTACCT-1", "d15.data_CTCAATTTCATCCCGT-1", "d15.data_TAGAGTCTCAGAATAG-1", "d15.data_ATTCAGGCAAGTTCGT-1", "d15.data_AGGCATTCATCCGCGA-1", "d15.data_AGGCTGCAGCAATAGT-1", "d15.data_ACTTATCAGGTTCTAC-1", "d15.data_ACTATTCTCGGTTAGT-1", "d15.data_CAACAGTGTACTGGGA-1", "d15.data_AGGCTGCCACCATTCC-1", "d15.data_CTGCCTAGTTGCTGAT-1", "d15.data_TCCATCGCATACACCA-1", "d15.data_AGGGCCTGTATCGTAC-1", "d15.data_ATCGCCTGTCTTGCGG-1", "d15.data_GTATTTCGTGCATGAG-1", "d15.data_ATCCCTGAGCGTTCAT-1", "d15.data_TACCTCGTCCGAAGGA-1", "d15.data_TGGTACATCTACGGTA-1", "d15.data_CATTCTACATGGATCT-1", "d15.data_GGTGAAGAGTACCGGA-1", "d15.data_CAACCAAAGATTCGAA-1", "d15.data_GGAGAACAGTTGCGAG-1", "d15.data_CTCCAACGTATGGAGC-1", "d15.data_ACTGATGCACCTGAAT-1", "d15.data_ATGCCTCTCACAGAGG-1", "d15.data_CGAGTGCGTACCGCGT-1", "d15.data_ATGATCGCACTATGTG-1", "d15.data_CATACCCCATCCGATA-1", "d15.data_CCGTTCATCTCATGCC-1", "d15.data_AGACACTCAGACATCT-1", "d15.data_TGTTGGAGTTACGCCG-1", "d15.data_AGTGATCTCCTGATAG-1", "d15.data_TTGAGTGGTTACGGAG-1", "d15.data_CATGAGTCACTAGAGG-1", "d15.data_AACCAACGTGAATTAG-1", "d15.data_AGAAATGTCTTTCCAA-1", "d15.data_GTTGTGAGTCATGACT-1", "d15.data_TCAGTGACACACGTGC-1", "d15.data_CTTCTCTTCTCTGCTG-1", "d15.data_GTTGAACCAGTTGCGC-1", "d15.data_TGAGACTGTCGGCCTA-1", "d15.data_CACAGGCGTGATGGCA-1", "d15.data_GAGACCCCATGACTGT-1", "d15.data_GTAACACGTGAGAACC-1", "d15.data_CATCGCTTCCTACGAA-1", "d15.data_GTTGTCCAGACTAGAT-1", "d15.data_ACTGTCCAGCCAGAGT-1", "d15.data_CATCCCAAGGCTAACG-1", "d15.data_TACGTCCCAGTGGCTC-1", "d15.data_TCGAAGTCACGCGTCA-1", "d15.data_GGGATGAGTTGCATCA-1", "d15.data_TGACAGTAGTTCCATG-1", "d15.data_GTAACACCATTAAGCC-1", "d15.data_GAATCGTCATCCTCAC-1", "d15.data_GTATTGGCAATCAGCT-1", "d15.data_GTCCACTTCACAATGC-1", "d15.data_TTGAGTGCAGTTTGGT-1", "d15.data_GGGAGATGTTAACCTG-1", "d15.data_GAGCTGCTCATGGTAC-1", "d15.data_ACCACAATCAAGCCAT-1", "d15.data_TGCTGAAAGTCATCGT-1", "d15.data_GCTTTCGGTGGCTACC-1", "d15.data_ACTCCCACAAATCAAG-1", "d15.data_CATGGATCATGATCTG-1", "d15.data_CTTTCGGCACACGCCA-1", "d15.data_GAGGGATTCGAGCTGC-1", "d15.data_CCCTCTCGTGCCAAGA-1", "d15.data_CCTCAACGTTGCTAGT-1", "d15.data_TCCACCAGTCCCTGAG-1", "d15.data_CATTCATTCTACTATC-1", "d15.data_AAAGGGCTCGAGATGG-1", "d15.data_AGAACCTCAGCTTTCC-1", "d15.data_GTAACCATCAGCTTGA-1", "d15.data_CCTCCAATCAACGAGG-1", "d15.data_AGGTCTATCTGCTTAT-1", "d15.data_AGGGCCTCATCCTTCG-1", "d15.data_TGTAGACCACTTGTGA-1", "d15.data_GGACGTCAGGAAGAAC-1", "d15.data_TTTGATCGTACGATGG-1", "d15.data_CTCTCAGAGGTATTGA-1", "d15.data_AGGACGAAGGGAGGGT-1", "d15.data_ACAGCCGCAACCCGCA-1", "d15.data_TCACGCTAGTTCCGTA-1", "d15.data_CCGCAAGGTGGAAATT-1", "d15.data_ATCGGCGTCACTCTTA-1", "d15.data_AACGAAACAGACCAAG-1", "d15.data_GTGCTGGCACCGCTAG-1", "d15.data_TCTTTGATCGTCAACA-1", "d15.data_CGAAGGAGTTTGACAC-1", "d15.data_GATGACTCATCATCTT-1", "d15.data_CCTTTGGCAATTCTTC-1", "d15.data_GTGCTTCAGATGAATC-1", "d15.data_ATAGGCTCATGACGAG-1", "d15.data_ATGACCAGTGCTTCAA-1", "d15.data_CGGTCAGTCGAACCTA-1", "d15.data_GTCGCGAGTCAGTTTG-1", "d15.data_TTCTAGTCACCTCTAC-1", "d15.data_ACATCGAGTTGTGCAT-1", "d15.data_TCCTCCCGTAGCACGA-1", "d15.data_GTCTACCTCTTCCAGC-1", "d15.data_GACTATGGTGTTTCTT-1", "d15.data_CAAGGGAAGCAAACAT-1", "d15.data_TGAGACTTCGACCAAT-1", "d15.data_ATCCTATCAAGCAATA-1", "d15.data_GTTGTAGCACAGCCAC-1", "d15.data_ATCGGATGTTATCCAG-1", "d15.data_ATGCGATGTGCTTCAA-1", "d15.data_TACCCGTCACCCTATC-1", "d15.data_GATCGTACACTGTTCC-1", "d15.data_TGCTTCGGTTCGTTCC-1", "d15.data_GACTCAACATCAGCAT-1", "d15.data_TTCTAGTGTGGACCAA-1", "d15.data_AGATGAAAGCGAACTG-1", "d15.data_GCATCTCCAAATACAG-1", "d15.data_ACTCCCAAGGCACCAA-1", "d15.data_GGGAGTAGTGTGTCCG-1", "d15.data_GATTTCTTCATGGGAG-1", "d15.data_ATTTACCCAAACGAGC-1", "d15.data_GTAATCGTCCATAGGT-1", "d15.data_GGAAGTGGTTACGGAG-1", "d15.data_TCATTTGAGTATGCAA-1", "d15.data_ATGAGGGTCCACAGCG-1", "d15.data_GGTGTCGAGGCCTAAG-1", "d15.data_TTCCTCTGTGCATGTT-1", "d15.data_CTCCTCCTCAACCGAT-1", "d15.data_GTCGTAAAGTTATGGA-1", "d15.data_TTCCTCTCAACTGGTT-1", "d15.data_ATTATCCGTACAGCGA-1", "d15.data_TTCCTAATCCATTCGC-1", "d15.data_TACCCACCACTTGTGA-1", "d15.data_GATTGGTTCCAAGAGG-1", "d15.data_AGGACGACACTGATTG-1", "d15.data_GATTCGACAAATGGAT-1", "d15.data_TTTCATGGTATGGTTC-1", "d15.data_GAGGCCTTCTATTTCG-1", "d15.data_AGGTAGGAGACATCAA-1", "d15.data_CCTACGTTCGTCAACA-1", "d15.data_ATCATTCCAGCACAAG-1", "d15.data_TTGTGTTCAGTCAACT-1", "d15.data_GTAATCGGTTACGTAC-1", "d15.data_AGGTTACAGCTGCCAC-1", "d15.data_CATCAAGTCGGCCCAA-1", "d15.data_AATGGAACAATCGTCA-1", "d15.data_CAAAGAACAACCGTAT-1", "d15.data_TGATTTCAGAATCCCT-1", "d15.data_GATAGCTTCGTTTACT-1", "d15.data_TCGTAGATCAGCGTCG-1", "d15.data_ACTATTCGTTTCCCAC-1", "d15.data_GCGATCGTCAAGATAG-1", "d15.data_AAAGAACCACATAACC-1", "d15.data_ATAGACCGTGGCCTCA-1", "d15.data_CGCATAAGTTGGAGAC-1", "d15.data_TGATGGTTCCTACTGC-1", "d15.data_CTTTCGGGTAATTAGG-1", "d15.data_AACCTTTGTGCACGCT-1", "d15.data_TGTGATGTCCAAGCAT-1", "d15.data_TGCTGAAGTCCTGGGT-1", "d15.data_ATCCACCCAGAACTTC-1", "d15.data_AGTGATCCAGGTTCCG-1", "d15.data_CGCATGGTCTTGGGCG-1", "d15.data_GACAGCCAGATACCAA-1", "d15.data_TTCGGTCTCCTCACCA-1", "d15.data_AAGTGAAGTTTCCAAG-1", "d15.data_ACAGGGAGTCAAATCC-1", "d15.data_TGGTACAAGGCAGTCA-1", "d15.data_AGGTAGGTCCTCTAAT-1", "d15.data_GTAGCTAAGTAATTGG-1", "d15.data_ACTGTGAAGCAAGTGC-1", "d15.data_TCGGGACTCCGTCCTA-1", "d15.data_TGACCCTGTGCCGTAC-1", "d15.data_TGTGCGGCACAACGCC-1", "d15.data_AACGTCATCGTGGCGT-1", "d15.data_CTCCAACCAGAGGCTA-1", "d15.data_TATCGCCTCTCCTGAC-1", "d15.data_CCTCATGTCAGAGCAG-1", "d15.data_CCACAAAAGTTAGTGA-1", "d15.data_GTCCACTGTTTCGTGA-1", "d15.data_TGGAGAGCAAGTATCC-1", "d15.data_CGATGCGTCAGGAACG-1", "d15.data_CAGTTCCTCGCATTAG-1", "d15.data_TCTTTGATCGTAGAGG-1", "d15.data_AGAAATGAGGCTTTCA-1", "d15.data_CCTAACCAGATCCCAT-1", "d15.data_GCGGAAATCGGTGTTA-1", "d15.data_GGTGAAGCAATAGAGT-1", "d15.data_GGAACCCCATGCCATA-1", "d15.data_TGCATGAAGACGCCAA-1", "d15.data_GATCAGTAGCAGGCTA-1", "d15.data_GTAGATCTCTGGTGGC-1", "d15.data_CCTACGTCAGTTGAAA-1", "d15.data_CTCACTGCATCGGATT-1", "d15.data_ACCTACCGTATGCAAA-1", "d15.data_TTACAGGTCCGATAAC-1", "d15.data_CTCAACCTCGACCACG-1", "d15.data_GCTGAATTCTAGAACC-1", "d15.data_GAGGGATTCTACACTT-1", "d15.data_TCATTACCACCTTCCA-1", "d15.data_CGATGGCGTCAACCAT-1", "d15.data_GGGAGTATCAGATTGC-1", "d15.data_GCTCAAAGTTCGGGTC-1", "d15.data_TTACCGCCACAGGATG-1", "d15.data_TGTTGAGGTCGTTTCC-1", "d15.data_CGTTGGGTCGTAACAC-1", "d15.data_GAACACTGTGCGACAA-1", "d15.data_GTACAGTAGCCACAAG-1", "d15.data_TTGGGATAGCACAAAT-1", "d15.data_TCTTTGAAGGTCTACT-1", "d15.data_TCATTACAGACCATAA-1", "d15.data_TCCTCGAAGCAAATCA-1", "d15.data_AGGAGGTTCCCTGTTG-1", "d15.data_AACACACAGCACGATG-1", "d15.data_TTTCCTCTCAAGTCTG-1", "d15.data_GAAGTAATCACCATCC-1", "d15.data_ACGGTTAGTAATGCGG-1", "d15.data_TTAGGCAAGGTCTACT-1", "d15.data_TACTTACAGAATAGTC-1", "d15.data_AGTCTCCAGCAGCCTC-1", "d15.data_AGCATCAGTGGCTCTG-1", "d15.data_TGTGATGCACAAGCAG-1", "d15.data_CTGGCAGGTAGTATAG-1", "d15.data_TACCTCGGTTTGAACC-1", "d15.data_TTGCATTCATGGCTGC-1", "d15.data_ATTTCTGGTGCGTGCT-1", "d15.data_GTATTGGGTGCCGTAC-1", "d15.data_CCGTAGGCATGTTCGA-1", "d15.data_TTTACTGTCGTCAGAT-1", "d15.data_CTTCAATCAATTTCTC-1", "d15.data_TATCCTATCTAGTGTG-1", "d15.data_ACTTCGCAGCTAGCCC-1", "d15.data_AGGATCTAGCTTGTTG-1", "d15.data_GTGGAGACAAATGCTC-1", "d15.data_GTAGTACTCTCTCTAA-1", "d15.data_TTAGTCTGTCTGTGCG-1", "d15.data_CCATCACTCTCTGAGA-1", "d15.data_TGAGCATGTAGTATAG-1", "d15.data_TGTAGACCATTGCAAC-1", "d15.data_ATCACGACAGCTTCCT-1", "d15.data_GATTCGATCAATCAGC-1", "d15.data_TTGAACGGTATTGAGA-1", "d15.data_TCATTACAGTGGAAAG-1", "d15.data_GACTCTCCAAGACTGG-1", "d15.data_GTCTGTCGTTAACAGA-1", "d15.data_GCATCGGCAAACTGCT-1", "d15.data_CGATGCGTCTTTCCGG-1", "d15.data_ACTTCGCCATACAGCT-1", "d15.data_TTGGGTACAACTGCTA-1", "d15.data_TCATGTTCATGGCACC-1", "d15.data_GGTAACTAGTATGACA-1", "d15.data_CCCGAAGGTTAACAGA-1", "d15.data_GTCATCCCACACGCCA-1", "d15.data_GTATTGGCACTCTCGT-1", "d15.data_CTATCCGTCAGTGTCA-1", "d15.data_GTCGCGAAGCTAATGA-1", "d15.data_GGACGTCCAGGCAATG-1", "d15.data_AGGTCTAAGATGCAGC-1", "d15.data_GTTACAGGTATAGGAT-1", "d15.data_TTGGTTTTCGATACGT-1", "d15.data_ATACCGATCTCAATCT-1", "d15.data_GGAGCAACACATATGC-1", "d15.data_CGGGCATAGGACTATA-1", "d15.data_ATTTACCAGCGGTATG-1", "d15.data_CTGAATGAGTTGCTGT-1", "d15.data_TCATGTTGTTATCCAG-1", "d15.data_TCCAGAACAGTCAGCC-1", "d15.data_CCTCTAGTCATACGAC-1", "d15.data_TCGCAGGCACAAGCTT-1", "d15.data_AGGGTGAAGGTATTGA-1", "d15.data_ACATCCCGTGCAACAG-1", "d15.data_ATCACTTAGGGAACAA-1", "d15.data_TTCTAACCAAGTACCT-1", "d15.data_ATCCACCTCGTAGGAG-1", "d15.data_AACCTGAAGAGGTGCT-1", "d15.data_GTAGGAGTCCTCGCAT-1", "d15.data_TGAGGGACACGTGTGC-1", "d15.data_CTGCGAGCACTCAAGT-1", "d15.data_GCGGATCTCTCGACGG-1", "d15.data_GTGTGGCCACTCCGGA-1", "d15.data_TACCGAAAGCCTTGAT-1", "d15.data_TCCACGTAGACTAGAT-1", "d15.data_GGTTGTAGTTTAGTCG-1", "d15.data_TTACAGGCATAACTCG-1", "d15.data_ATTATCCCACTGCGTG-1", "d15.data_CGGAATTAGGGATCAC-1", "d15.data_ACACTGACAAGGCAAC-1", "d15.data_CGGAACCGTCAGACTT-1", "d15.data_GTTGTCCTCACCTGGG-1", "d15.data_CCTGCATCAACGTAAA-1", "d15.data_ATGTCCCAGGTAATCA-1", "d15.data_GAATCACGTACTGCGC-1", "d15.data_TATATCCGTTCAAAGA-1", "d15.data_CATAAGCCAAACCACT-1", "d15.data_GCACTAAAGCGTCGAA-1", "d15.data_ATGCCTCAGTACGAGC-1", "d15.data_ATGACCAGTTGTGTAC-1", "d15.data_TGGTAGTTCAAGATAG-1", "d15.data_GATTCGACACTCCACT-1", "d15.data_TCGACCTAGATCACCT-1", "d15.data_TCACGGGAGTATTGCC-1", "d15.data_CTCCACACACACGGTC-1", "d15.data_GACATCAGTTTCGACA-1", "d15.data_ATCACTTAGACAGTCG-1", "d15.data_TCATCCGGTTAAGTCC-1", "d15.data_CCTAAGATCTTCGGAA-1", "d15.data_ACTATTCTCTAGTCAG-1", "d15.data_TCCCATGTCTGCCCTA-1", "d15.data_AGTCATGCACAATGCT-1", "d15.data_CCTGTTGTCTCCAATT-1", "d15.data_GTACAGTAGGACAGTC-1", "d15.data_GCGAGAACATATGAAG-1", "d15.data_GATGATCTCCGAGATT-1", "d15.data_TTCTCTCGTCTTTCAT-1", "d15.data_GATAGAACAAACACGG-1", "d15.data_GAAGCGACATTCAGGT-1", "d15.data_TACCCGTTCGACGATT-1", "d15.data_GAATCGTTCGACCTAA-1", "d15.data_ACATGCATCCTGGGTG-1", "d15.data_CTACGGGGTGTCTTCC-1", "d15.data_AGACCCGGTGGTCCCA-1", "d15.data_CGACAGCTCTGCATGA-1", "d15.data_CTCATGCAGCAACAGC-1", "d15.data_GCACGTGCAAATCGGG-1", "d15.data_CGAGGAAGTATGCGGA-1", "d15.data_TCATACTTCCGAGGCT-1", "d15.data_CCCTCAATCGCTGTTC-1", "d15.data_CCAAGCGAGAAAGCGA-1", "d15.data_GAGGCCTCATCCTGTC-1", "d15.data_GCCAGCACACCAGTAT-1", "d15.data_ACTTTCAAGAAGCCTG-1", "d15.data_CCTCTAGGTGGTCTAT-1", "d15.data_AGGAGGTTCAGCTCTC-1", "d15.data_TGGAGAGAGGACAGTC-1", "d15.data_GCCGTGATCGGCCAAC-1", "d15.data_TGCTGAAAGACGCAGT-1", "d15.data_TGAATCGCATTGCCTC-1", "d15.data_AGCCACGTCAGACCCG-1", "d15.data_TCATGCCCACAAAGTA-1", "d15.data_TGTCCACAGCTTAGTC-1", "d15.data_CATCGGGAGAAAGTCT-1", "d15.data_CGAAGGACATTGACCA-1", "d15.data_AGCATCAAGGTACTGG-1", "d15.data_TGTGTGATCTGTCGTC-1", "d15.data_CCACGAGTCTCACCCA-1", "d15.data_GTTGCGGCAGCTATAC-1", "d15.data_ATCCACCGTAGTACGG-1", "d15.data_ACGGTTACACCGTACG-1", "d15.data_TACCCGTTCAGGCGAA-1", "d15.data_GACTGATGTAACAGTA-1", "d15.data_TTGCTGCTCTATGCCC-1", "d15.data_AAGAACAGTTGTCCCT-1", "d15.data_CAGATACCATTCCTCG-1", "d15.data_ACAGGGATCCATCTAT-1", "d15.data_ATACCTTAGTTTGCTG-1", "d15.data_GTCACGGGTCGCACGT-1", "d15.data_TTCACCGCACCGTGAC-1", "d15.data_TACCCGTGTTTAGTCG-1", "d15.data_GGCTTGGCAGTATACC-1", "d15.data_ATCGTCCTCGCTTACC-1", "d15.data_CTGCCTACACATACTG-1", "d15.data_CTTGATTAGACTACGG-1", "d15.data_TGGTTAGAGTATTGCC-1", "d15.data_CTTTCGGAGACATGCG-1", "d15.data_TAGACTGTCTAGTTCT-1", "d15.data_GACACGCTCACGATCA-1", "d15.data_TTACGCCGTCGTTATG-1", "d15.data_GATGACTTCCGAAGGA-1", "d15.data_GATGACTTCTGGGATT-1", "d15.data_GGGCTCAGTAGAATAC-1", "d15.data_ACATTTCTCATCCTGC-1", "d15.data_GTAGAAATCCGATGCG-1", "d15.data_GTGGCGTCAATGAGCG-1", "d15.data_GCCCGAAAGCATGGGT-1", "d15.data_AGGATCTAGCATTGTC-1", "d15.data_TGTTTGTCAGTGGTGA-1", "d15.data_AATGCCACAGACCAAG-1", "d15.data_CTACCTGGTTCTTAGG-1", "d15.data_TGCGGGTCAGCGTAGA-1", "d15.data_ATTTACCAGCGGACAT-1", "d15.data_ACTGATGGTTCTGACA-1", "d15.data_CGTTGGGCAGAAGCTG-1", "d15.data_GACCAATTCAGAGTGG-1", "d15.data_TCACACCAGTACAACA-1", "d15.data_CGGACACAGTCCGTCG-1", "d15.data_TCTCTGGGTTGGAGAC-1", "d15.data_GTCCTCATCAAGAATG-1", "d15.data_TCAGGGCAGGTAGCAC-1", "d15.data_TTCCTCTGTCGCAGTC-1", "d15.data_CGAGGCTAGTAGAGTT-1", "d15.data_CTCAACCCAGCCGTCA-1", "d15.data_AATGGAACACAGCCTG-1", "d15.data_CTTGATTCACGATAGG-1", "d15.data_GAGACCCGTAGACAAT-1", "d15.data_TTTGGAGGTTAAACAG-1", "d15.data_AGATAGATCGTGGCTG-1", "d15.data_CGTTCTGTCCTCTAAT-1", "d15.data_AACCAACCAGGATCTT-1", "d15.data_CTCCACATCGCGTAGC-1", "d15.data_CAGCCAGAGGTGATAT-1", "d15.data_AAGACAAAGGGCCCTT-1", "d15.data_CGCAGGTCACCCTATC-1", "d15.data_GGAATCTTCTCAACGA-1", "d15.data_TATATCCGTCTTGCGG-1", "d15.data_TTCTTGAAGATCGCCC-1", "d15.data_GGGTGAACAACACGAG-1", "d15.data_GAGTTACGTATACGGG-1", "d15.data_GTAGGAGGTTTCGTAG-1", "d15.data_CTGTATTCATGACTAC-1", "d15.data_TGCTTGCCATAACCCA-1", "d15.data_CATTCATTCAGGAAAT-1", "d15.data_CAACAGTTCGAAACAA-1", "d15.data_TACTGCCAGTTACTCG-1", "d15.data_GATGAGGTCAAGAAAC-1", "d15.data_TGTGGCGAGGTACAGC-1", "d15.data_AAAGGATGTCGTAATC-1", "d15.data_AGTGTTGAGTTAGAAC-1", "d15.data_TGATCAGTCAAAGGTA-1", "d15.data_AAGCGTTTCCCGTAAA-1", "d15.data_TATCAGGGTGACCGAA-1", "d15.data_GCACATAGTACGGCAA-1", "d15.data_CACAGGCAGGCTTCCG-1", "d15.data_TAACACGAGGCTATCT-1", "d15.data_AGGATCTAGCGAATGC-1", "d15.data_CTCGAGGTCGCAGAGA-1", "d15.data_CTGGACGGTACTCAAC-1", "d15.data_CCTTTGGCAATGTCTG-1", "d15.data_ATTCCATTCTAGTACG-1", "d15.data_ACTTTGTGTAGAATAC-1", "d15.data_TCAGTTTAGGCTAGCA-1", "d15.data_TCATTCAAGAATAGTC-1", "d15.data_CTCTCGAGTCAAAGAT-1", "d15.data_AGACAGGGTCGTACAT-1", "d15.data_TGAGCGCCACAGTCAT-1", "d15.data_GAGTCTAGTTGCCAAT-1", "d15.data_AACCATGGTCATAGTC-1", "d15.data_AGCCAGCTCGTTAGTG-1", "d15.data_GCACATATCGTCTAAG-1", "d15.data_ACGTAGTTCGACACCG-1", "d15.data_TACTTACCACAAGCAG-1", "d15.data_GCCTGTTTCCAACCGG-1", "d15.data_GAGTCATCACCACTGG-1", "d15.data_AGGTCATCAGATCCTA-1", "d15.data_GGCAGTCTCGAACCTA-1", "d15.data_TCTGGCTAGAATCGTA-1", "d15.data_CGTTCTGGTTGGTAGG-1", "d15.data_ACACCAAGTATGCTTG-1", "d15.data_ACTTATCGTTCTGACA-1", "d15.data_AACAACCCAAATGGCG-1", "d15.data_TGATTCTCACCGTGGT-1", "d15.data_CTCACTGCACTGGATT-1", "d15.data_ATTCACTTCAGCTGTA-1", "d15.data_ACGATGTCACCTGAAT-1", "d15.data_CCCTCAAAGTAGCCAG-1", "d15.data_TCCACCAAGCCAAGCA-1", "d15.data_GATCAGTTCTCCCATG-1", "d15.data_CAACCAAGTACAGAGC-1", "d15.data_GAAATGAGTCCAGCAC-1", "d15.data_AGATAGAGTAATGCTC-1", "d15.data_CGAGTTAAGAGTATAC-1", "d15.data_GCAGCTGTCTCGCAGG-1", "d15.data_CCACACTCACCCTGTT-1", "d15.data_AAACCCACACCAGTTA-1", "d15.data_ACGTACAAGGCAGGGA-1", "d15.data_ATTATCCAGTACTGTC-1", "d15.data_CAGGCCACATGACGTT-1", "d15.data_GTAGAGGCATCGAAGG-1", "d15.data_AACGTCAAGCCATTTG-1", "d15.data_GCGTTTCCACCCAATA-1", "d15.data_TGGGCTGTCCATTGTT-1", "d15.data_ATCGGATGTATCTTCT-1", "d15.data_TTGGGTACACAACGAG-1", "d15.data_TGGGAAGTCTCCGAGG-1", "d15.data_TCATCCGCACGACGCT-1", "d15.data_TTTGGAGAGATACTGA-1", "d15.data_TTCTCTCCAGCGTATT-1", "d15.data_ACAACCAAGGCCTGAA-1", "d15.data_GGCTGTGAGAGCCCAA-1", "d15.data_TTCGATTCAGTAACCT-1", "d15.data_GTCTACCCAGTTTCAG-1", "d15.data_GGAGGATTCGGTCAGC-1", "d15.data_GGGATGATCATCACTT-1", "d15.data_TCGACCTCAAATGAGT-1", "d15.data_GACAGCCCAACTCGTA-1", "d15.data_CATTGTTGTAGAGATT-1", "d15.data_TCCGAAAGTCTAATCG-1", "d15.data_CATCGGGTCACTACGA-1", "d15.data_TCATGTTTCAGTGTGT-1", "d15.data_ACTTATCAGACTGAGC-1", "d15.data_TTCAATCGTAATTGGA-1", "d15.data_GTGGGAACAGTGGTGA-1", "d15.data_ACACTGAGTAATTGGA-1", "d15.data_TATACCTGTTAACAGA-1", "d15.data_AGACCCGTCGTCTACC-1", "d15.data_TAGCACATCCTCGATC-1", "d15.data_CTGCGAGCACGCTGTG-1", "d15.data_ATCATTCAGGATACCG-1", "d15.data_TAGGTACGTACTGACT-1", "d15.data_GGGCCATTCTGAATCG-1", "d15.data_ACCAACACAGCCCACA-1", "d15.data_GTTGAACTCAGCTGAT-1", "d15.data_CACGTGGGTTCGGTAT-1", "d15.data_GACCGTGTCAGATTGC-1", "d15.data_GGAGGATCAAAGCACG-1", "d15.data_AGATCCAAGAAGGTAG-1", "d15.data_TTGACCCCATGACGTT-1", "d15.data_GAGATGGTCACCGGTG-1", "d15.data_CGGAATTCAAGTGATA-1", "d15.data_CCAATTTCACCGTACG-1", "d15.data_GTAGTACCATCCCGTT-1", "d15.data_AGCATCAGTAACGTTC-1", "d15.data_TTCCTTCGTACACGTT-1", "d15.data_CCTCATGGTATGAAGT-1", "d15.data_CAGGGCTTCGACGAGA-1", "d15.data_GAGACTTGTACTGTTG-1", "d15.data_GTAGAGGGTGCACGCT-1", "d15.data_TGAGACTTCTACCCAC-1", "d15.data_GCTCAAACAGTCGGTC-1", "d15.data_TAACACGTCGGAACTT-1", "d15.data_GTCATCCTCTTACGGA-1", "d15.data_AAACGCTCAACTCCAA-1", "d15.data_ACGTAGTCATAGAGGC-1", "d15.data_CATCCCAGTTCAAACC-1", "d15.data_CAGTTAGTCGAGCACC-1", "d15.data_CCGGACACACCTGATA-1", "d15.data_TTCAGGATCTCATTTG-1", "d15.data_CCCTCTCTCTCTCGCA-1", "d15.data_TCACGGGTCGCTACGG-1", "d15.data_GAGGCAACAGAGGACT-1", "d15.data_ACCCTTGTCGAGAATA-1", "d15.data_ATTTACCAGCACTTTG-1", "d15.data_GTCTGTCTCAGGACAG-1", "d15.data_CGGAACCAGCCTCAGC-1", "d15.data_ATGGATCAGCCATCCG-1", "d15.data_GTGAGTTTCCGGCAAC-1", "d15.data_TCCTCGATCGGCCAAC-1", "d15.data_TACACCCGTCATGCAT-1", "d15.data_AGAAGCGCAAACGAGC-1", "d15.data_GCTACCTGTTTGAAAG-1", "d15.data_AAGCCATTCTCCTGAC-1", "d15.data_ACGTAGTTCTGGGCAC-1", "d15.data_GTATTGGTCAACACCA-1", "d15.data_CTGCGAGGTTAGGCCC-1", "d15.data_ATTTACCGTGCCTTTC-1", "d15.data_GCATTAGCAAGCACAG-1", "d15.data_TAAGCCAAGCGACTTT-1", "d15.data_CACGTTCTCGGCGATC-1", "d15.data_TATCTTGTCTGTGCGG-1", "d15.data_CATTGTTTCGCCACTT-1", "d15.data_AGGTAGGTCTGGTGGC-1", "d15.data_GCAGTTAAGGGATCGT-1", "d15.data_TCGCACTGTATCCTCC-1", "d15.data_CCTCACAAGTCTGGAG-1", "d15.data_GACCTTCAGCTTCTAG-1", "d15.data_CAGTGCGTCATTTACC-1", "d15.data_TTTCCTCCACGGCCAT-1", "d15.data_ACAAAGAGTCATCTAG-1", "d15.data_TTTCGATTCCACGAAT-1", "d15.data_TTGGGTATCAGCATTG-1", "d15.data_GAGTTTGCACCGTGGT-1", "d15.data_CTCCACACACACCAGC-1", "d15.data_TTTCCTCTCTGGGAGA-1", "d15.data_GTGGCGTTCGTTTACT-1", "d15.data_GGTGTCGGTCACAGAG-1", "d15.data_TGACAGTTCCTGCCAT-1", "d15.data_TGGGCGTCAAGCGGAT-1", "d15.data_GGGACCTGTGATGAAT-1", "d15.data_CAAGGGAAGGGCTTCC-1", "d15.data_TATTCCAGTAGAGCTG-1", "d15.data_CGAAGTTCAGGTTCCG-1", "d15.data_ACTCTCGAGTCACTAC-1", "d15.data_TCTCAGCAGTGTAGAT-1", "d15.data_ACCACAAGTCTGTAAC-1", "d15.data_TGCTGAACACCGTGGT-1", "d15.data_GCCCGAACAAACCATC-1", "d15.data_GGGTCACGTGACTCGC-1", "d15.data_ACATCCCCAGACATCT-1", "d15.data_ATAGACCCACGTCTCT-1", "d15.data_CATAGACTCCTACACC-1", "d15.data_TACGGTACACACCGCA-1", "d15.data_ACTTTGTTCCCTGGTT-1", "d15.data_GCATCTCGTCCACGCA-1", "d15.data_AGAAGCGAGGTAGATT-1", "d15.data_AACAACCGTGTGAGCA-1", "d15.data_GAACGTTAGCCTCCAG-1", "d15.data_AGATCCAGTTGGTACT-1", "d15.data_TGGGAGAGTACTGTTG-1", "d15.data_TGTCAGACACTCCGAG-1", "d15.data_TTGTTCATCATGCCAA-1", "d15.data_TCACACCCAGTTAAAG-1", "d15.data_CTCTCAGTCCAGCAAT-1", "d15.data_GCGGATCAGGACAGTC-1", "d15.data_TTGGTTTAGCTGCCAC-1", "d15.data_GCTGCAGAGGCTATCT-1", "d15.data_GGTGTTACACCTGATA-1", "d15.data_ACACGCGCAAGTGATA-1", "d15.data_CATCCGTGTTCGGACC-1", "d15.data_TCACATTGTGGCTACC-1", "d15.data_GAACTGTTCGACGATT-1", "d15.data_CCCTAACTCAACGTGT-1", "d15.data_AAACCCAAGGCTCACC-1", "d15.data_ACCCTCAAGTTGTACC-1", "d15.data_TGAATGCCAAAGCACG-1", "d15.data_AGGGCCTTCTGCCTCA-1", "d15.data_AGATCGTAGATACGAT-1", "d15.data_AATCACGGTGTCTCCT-1", "d15.data_AGGTTACCACGTTGGC-1", "d15.data_TTCTAACAGGTGAGCT-1", "d15.data_ATTCACTGTCTTTCAT-1", "d15.data_CATTCATTCGACCACG-1", "d15.data_TGGTAGTTCTCTGCCA-1", "d15.data_CTGAGGCGTGTTGCCG-1", "d15.data_CGTTGGGAGCTGTCCG-1", "d15.data_TTCGGTCGTTTCCAAG-1", "d15.data_TTGACCCTCAACTACG-1", "d15.data_AACCCAATCGGCAGTC-1", "d15.data_CGCCAGATCCCAGTGG-1", "d15.data_TGACCCTAGGTCCAGA-1", "d15.data_TCGACCTGTGGTAACG-1", "d15.data_CAAGACTGTCACTGAT-1", "d15.data_TTCCTCTCACGCTTAA-1", "d15.data_GACACGCCACCTCGTT-1", "d15.data_TACTTGTGTGAGATTA-1", "d15.data_ACGTACATCCACCCTA-1", "d15.data_GCGGAAACAGGGATAC-1", "d15.data_AATCACGCATCCGGCA-1", "d15.data_ACGATGTAGCACCGAA-1", "d15.data_GTTACCCAGAAACACT-1", "d15.data_CACAGGCCAGCCATTA-1", "d15.data_TTTACGTAGACTTCCA-1", "d15.data_TGTGAGTGTCCCTCAT-1", "d15.data_TTTACCAAGTTCCAGT-1", "d15.data_ACTGTCCGTCAAAGTA-1", "d15.data_TTAGGCAGTTTGAAAG-1", "d15.data_CCGATGGCAATACGCT-1", "d15.data_ACTATTCTCTGAATCG-1", "d15.data_ATTCATCGTTCGGTTA-1", "d15.data_ATACTTCTCATTGCCC-1", "d15.data_CCCTAACGTCTGCCTT-1", "d15.data_CTCTCGAGTGCGTTTA-1", "d15.data_TAACCAGAGGTTCTAC-1", "d15.data_CTTAGGAAGTCAAGCG-1", "d15.data_AGTAGCTCATTCCTAT-1", "d15.data_AGTAGCTGTATGAAAC-1", "d15.data_GTCTCACTCCATCCGT-1", "d15.data_ACTTCCGTCTACCACC-1", "d15.data_AGGGTCCCACGCACCA-1", "d15.data_GGTGATTTCTGATGGT-1", "d15.data_TGGTGATGTAACGCGA-1", "d15.data_TTCTAACCAAGTGGAC-1", "d15.data_TTCTTCCTCCCGTTCA-1", "d15.data_CCGATGGGTCATCGGC-1", "d15.data_AGCGCTGTCCATTTGT-1", "d15.data_CAGATTGAGTAAGCAT-1", "d15.data_CTCGAGGGTTGGACCC-1", "d15.data_CGTCCATCACGTCATA-1", "d15.data_TTTACCATCCGTGTAA-1", "d15.data_GTTACCCAGACTGTTC-1", "d15.data_ATTCGTTCAGACGCTC-1", "d15.data_TCCTCTTGTTTGGCTA-1", "d15.data_CCGTTCATCTGGCTGG-1", "d15.data_AGCGATTAGTTTGAGA-1", "d15.data_TTATTGCGTTGCTCGG-1", "d15.data_GTCAAACAGAGCTGCA-1", "d15.data_AACAAGACACAGCCTG-1", "d15.data_CCGGGTAAGGCAGGGA-1", "d15.data_TCTTGCGCAACTCGAT-1", "d15.data_CTCGAGGCACGAGGAT-1", "d15.data_TCATACTAGCGGGTAT-1", "d15.data_ACCCAAAAGAATTGCA-1", "d15.data_CCTAAGATCGTAGAGG-1", "d15.data_CTCCCTCTCATTCATC-1", "d15.data_AGAACAAAGAAGCTGC-1", "d15.data_TGTGTGAAGTATAGAC-1", "d15.data_AGAAGTATCTATCCAT-1", "d15.data_TCACGCTGTAAGATAC-1", "d15.data_TACATTCTCACCGGGT-1", "d15.data_CTCATTAAGGATATAC-1", "d15.data_TTGTTTGCATGAGAAT-1", "d15.data_CTACAGACAACACACT-1", "d15.data_GCTACAATCATGAGGG-1", "d15.data_TGCACGGAGGCCTTCG-1", "d15.data_TGCGATATCAGCCCAG-1", "d15.data_CTAACTTGTTGCTTGA-1", "d15.data_ACGTACAGTGGAGAAA-1", "d15.data_GAAGCGAAGCTATCCA-1", "d15.data_GAAGCGATCGTTCATT-1", "d15.data_CTTGAGACAATAGTCC-1", "d15.data_GTCATCCTCGCGTGCA-1", "d15.data_CTCGAGGTCCTTTAGT-1", "d15.data_TACCTCGTCGTTATCT-1", "d15.data_TATACCTTCGTTAGAC-1", "d15.data_TCGGGACTCATGCCAA-1", "d15.data_GTCAAGTCAGTTTCGA-1", "d15.data_GTCTAGAGTTGCCAAT-1", "d15.data_TGACGCGAGCCTAGGA-1", "d15.data_AGACCATTCTCAACGA-1", "d15.data_ACCCTCAAGACAAGCC-1", "d15.data_ACCCAAACACTTGTGA-1", "d15.data_GTTATGGTCCATTTAC-1", "d15.data_AACGAAACACCCTAGG-1", "d15.data_GGTAATCGTTGGGTTT-1", "d15.data_CAGATACGTCAACACT-1", "d15.data_TACTTCATCCGGGACT-1", "d15.data_TACCGAAGTTTGAACC-1", "d15.data_CTCCAACCACATATCG-1", "d15.data_GAATAGAGTTCGAAGG-1", "d15.data_CATCCACGTGGCTTAT-1", "d15.data_ATCGATGCAAGTGGAC-1", "d15.data_AGATGCTTCATTGAGC-1", "d15.data_CAGATTGCAGCTGTAT-1", "d15.data_GGAGGATCAGAAATTG-1", "d15.data_AAACCCATCTAAGAAG-1", "d15.data_TCATGTTTCTCAGAAC-1", "d15.data_GGAGCAACACCAGACC-1", "d15.data_TCAGCCTCAACATACC-1", "d15.data_GTGCACGCATCATGAC-1", "d15.data_CACCAAATCCGCACTT-1", "d15.data_AAAGGGCTCGCAGTCG-1", "d15.data_TCCTTTCTCTGATGGT-1", "d15.data_ATTGGGTAGTAGGGTC-1", "d15.data_GTGCGTGAGCTCGACC-1", "d15.data_CAAAGAAGTATCACCA-1", "d15.data_GTATTTCCATCCGAAT-1", "d15.data_GTTACAGGTCTTTCTA-1", "d15.data_GCAACATAGTTGAAGT-1", "d15.data_AACGTCAAGCAGATAT-1", "d15.data_CTTCGGTTCGAACCTA-1", "d15.data_CTACCTGTCGCATGAT-1", "d15.data_GCCTGTTCAAGAGAGA-1", "d15.data_GTGCGTGCATGGGATG-1", "d15.data_CTGTACCTCTTGTTAC-1", "d15.data_CAATGACTCCCATACC-1", "d15.data_TCAGTCCGTTGATGTC-1", "d15.data_CCTCAACGTACAAACA-1", "d15.data_ACAGAAACACCACTGG-1", "d15.data_CACGTTCGTTTACTGG-1", "d15.data_CAACCTCTCCCAAGTA-1", "d15.data_TCACGGGAGGGCAAGG-1", "d15.data_TACCCGTTCACTGTCC-1", "d15.data_AGACACTAGCAACTTC-1", "d15.data_GGGTGAAAGATCCTAC-1", "d15.data_CTCAACCCATCTCGTC-1", "d15.data_CTCCTCCCACAAGCCC-1", "d15.data_GATCACACACACGCCA-1", "d15.data_TTCTAACGTACGTACT-1", "d15.data_GAATAGAGTCTTCAAG-1", "d15.data_TAGATCGGTCCGGCAT-1", "d15.data_ACTTATCCAACGATTC-1", "d15.data_TTGGGCGTCCAATGCA-1", "d15.data_GGGCTCATCACCTCTG-1", "d15.data_GCCAGGTTCAAAGCCT-1", "d15.data_TATTCCAGTCTCAGAT-1", "d15.data_GATAGCTCAGGGTCTC-1", "d15.data_AGAGAATGTACATACC-1", "d15.data_TAGACTGGTCACTCGG-1", "d15.data_AAGTGAATCGAGTACT-1", "d15.data_CATGCAATCGAGAAGC-1", "d15.data_TTCCTAACAGGGACTA-1", "d15.data_TTACCATCATAAGCGG-1", "d15.data_CACAGATGTAGCGCCT-1", "d15.data_TCGGTCTCACTCAAGT-1", "d15.data_GAAGGACGTGAGAGGG-1", "d15.data_TCTAACTGTGTGACCC-1", "d15.data_GTAGCTAGTACCGGCT-1", "d15.data_ATCACAGCAACTCGTA-1", "d15.data_ACGATCAGTCGCTTAA-1", "d15.data_TCTACATTCGCCAGTG-1", "d15.data_TTGTTCAGTCATAACC-1", "d15.data_GCCATTCGTTTCACAG-1", "d15.data_AAACGCTCACGCAAAG-1", "d15.data_ACGATCAAGCACTCGC-1", "d15.data_ACGTAGTGTGTACATC-1", "d15.data_GAGTCATCACTAGTAC-1", "d15.data_GTACAACGTACCTAAC-1", "d15.data_ACGGTTACAGCCTTCT-1", "d15.data_TCAAGACAGTCCTGCG-1", "d15.data_TAACGACCAGTCAGTT-1", "d15.data_CATTGCCGTAGGTCAG-1", "d15.data_CACAACATCCTTTGAT-1", "d15.data_TTGCCTGCAGCACGAA-1", "d15.data_GCATCTCCAGACAATA-1", "d15.data_AGAGCCCAGGTCGTAG-1", "d15.data_GTGAGCCTCTCGGTCT-1", "d15.data_TCGCACTAGCAACAAT-1", "d15.data_GCCATGGGTCGTATGT-1", "d15.data_ATTCCTAGTAGGACCA-1", "d15.data_TCCTAATAGGCCTGAA-1", "d15.data_AAGACTCCAGTGCGCT-1", "d15.data_AGTTCGATCAGAGCGA-1", "d15.data_GACGCTGTCATCGTAG-1", "d15.data_TAACGACTCACAGTGT-1", "d15.data_CTGCTCAGTCTGTCCT-1", "d15.data_GATAGAACAGGCGTTC-1", "d15.data_TCAAGACAGGTCCCGT-1", "d15.data_TCGCACTCAAGCGATG-1", "d15.data_CTTCCTTAGTCATCGT-1", "d15.data_TGATTTCGTTCCTACC-1", "d15.data_CGCCATTTCGCAGATT-1", "d15.data_GGGCTCAGTTCGAACT-1", "d15.data_ATCACAGCAAGGAGTC-1", "d15.data_CCGGTAGTCCCTTTGG-1", "d15.data_ATCACTTCAGTTCTAG-1", "d15.data_ACCACAACAAATCCCA-1", "d15.data_CACGAATCATTGCCTC-1", "d15.data_GAACGTTTCAGGAAAT-1", "d15.data_AACAAGATCCGTATGA-1", "d15.data_GAGTTACGTCCACTCT-1", "d15.data_AAGTCGTCACCGGTCA-1", "d15.data_AACAAAGTCGTGCTCT-1", "d15.data_GCTTTCGTCACTCCGT-1", "d15.data_GTCTACCAGTCGAAGC-1", "d15.data_TTCCGGTTCACCTACC-1", "d15.data_AACGAAAGTTCCTTGC-1", "d15.data_ATACCGAAGCTTCATG-1", "d15.data_CCGGACATCAGTGTTG-1", "d15.data_CTGTGGGTCATACGGT-1", "d15.data_CTACCTGTCCTAAGTG-1", "d15.data_CCGTGAGTCCGAAATC-1", "d15.data_GCTGCAGCAACCGTAT-1", "d15.data_ACTTATCCACAAGTTC-1", "d15.data_CCTGCATAGCAAACAT-1", "d15.data_AATGACCAGGCATCTT-1", "d15.data_ACTTAGGAGCCTTCTC-1", "d15.data_GCCCGAATCCACCTGT-1", "d15.data_GTCTAGACACATACTG-1", "d15.data_TCTTAGTCAGCACACC-1", "d15.data_GTCTACCCAAGCCATT-1", "d15.data_CGAGGCTCACCCTAAA-1", "d15.data_CGCGTGAAGTGCTAGG-1", "d15.data_CATGAGTAGCCAACCC-1", "d15.data_TCCTGCATCGCGTGCA-1", "d15.data_GTGCACGGTTACTCAG-1", "d15.data_ATGGATCCATACATCG-1", "d15.data_CCTCAGTCAAACCACT-1", "d15.data_CGCCATTCAGCAGATG-1", "d15.data_TTACCGCTCCATCTAT-1", "d15.data_CATACCCTCGGTCTAA-1", "d15.data_AATTCCTTCCACAGCG-1", "d15.data_TCCTTTCGTCAGACGA-1", "d15.data_ATTCCTACAGGCATTT-1", "d15.data_ATTGTTCCAACCAACT-1", "d15.data_GAGACCCCAACACTAC-1", "d15.data_CTCTCAGTCATTCCTA-1", "d15.data_AGTTAGCTCGCTCATC-1", "d15.data_CTTCCTTAGACGCCAA-1", "d15.data_AATGACCAGCCTCAAT-1", "d15.data_CTCCACAGTACCGGCT-1", "d15.data_CTAACCCAGCTGTACT-1", "d15.data_GAGTTGTCAATACAGA-1", "d15.data_GCAGGCTTCCCATGGG-1", "d15.data_TTACCGCCACAATGCT-1", "d15.data_TGCCGAGGTGGACTGA-1", "d15.data_ATTCCATGTCCTCATC-1", "d15.data_GCATCTCGTGGTCCGT-1", "d15.data_CATTGAGCAGCACGAA-1", "d15.data_CATGAGTTCTTAGCAG-1", "d15.data_CCCGGAAAGCTCCACG-1", "d15.data_GGAGGATCAAGGCGTA-1", "d15.data_CGTAATGTCCTTCAGC-1", "d15.data_CATACCCTCACACCGG-1", "d15.data_GATCATGCAATCTCTT-1", "d15.data_TGGGAGATCAGCGCAC-1", "d15.data_AGTGACTCATGAAAGT-1", "d15.data_GAGACCCTCTTGGATG-1", "d15.data_CATCCGTGTGGCCCAT-1", "d15.data_CCAAGCGAGGATACCG-1", "d15.data_CTGAATGCACCCTAGG-1", "d15.data_AACAAAGGTCATCCCT-1", "d15.data_TGTTACTCACACCTGG-1", "d15.data_CGTGAATTCCCTGGTT-1", "d15.data_ACATTTCAGTAGTCTC-1", "d15.data_CCTACGTCACGTACTA-1", "d15.data_GCCCAGACAGCTTTCC-1", "d15.data_TTAATCCTCTAGGCAT-1", "d15.data_TACACCCGTCGGAACA-1", "d15.data_TAAGCCAAGCGAATGC-1", "d15.data_GACTCAACACGGCTAC-1", "d15.data_CTGTGGGCAACCGATT-1", "d15.data_TCCTCCCGTATTGACC-1", "d15.data_GGTCACGGTATCCTTT-1", "d15.data_TCAAGACGTGAATAAC-1", "d15.data_ATGAGGGAGATGACCG-1", "d15.data_TCAGTCCGTTCTCGCT-1", "d15.data_CTCAACCGTCACTCAA-1", "d15.data_CATACCCCACCGCTGA-1", "d15.data_ATGTCTTGTAGTGATA-1", "d15.data_CATCAAGAGATACAGT-1", "d15.data_GTCATGAGTCGCCTAG-1", "d15.data_ACACAGTTCGATAACC-1", "d15.data_AGAACCTCAGAGGCAT-1", "d15.data_GCTACCTGTGGAGAAA-1", "d15.data_TTCCTTCTCAGTCAGT-1", "d15.data_TGGGAGAAGTCCCAAT-1", "d15.data_CGGAATTCACATGGTT-1", "d15.data_TCAGGGCAGGTTTGAA-1", "d15.data_GGTCACGTCTAGAACC-1", "d15.data_CCTGCATGTTACGCCG-1", "d15.data_GGTCACGAGGGCAGTT-1", "d15.data_CATCGGGCAAACAGGC-1", "d15.data_GCCTGTTTCGGATAAA-1", "d15.data_TGGGATTCAGTCACGC-1", "d15.data_CAACGGCCAACTGAAA-1", "d15.data_AGACAAAAGTCAGCCC-1", "d15.data_TCATGCCTCATAGCAC-1", "d15.data_CCATCACCACATGAAA-1", "d15.data_TCGTAGAGTCCAAAGG-1", "d15.data_CTTCCGACACCGGCTA-1", "d15.data_CTCCGATGTTGCAACT-1", "d15.data_AGACTCAGTCAACCAT-1", "d15.data_ATTCATCAGCACACCC-1", "d15.data_CAGGTATCAAGAGATT-1", "d15.data_GGACGTCCACAGAGCA-1", "d15.data_GTTGAACCACTTACAG-1", "d15.data_ACGGGTCCAGCAGAAC-1", "d15.data_ATATCCTGTGCAACGA-1", "d15.data_CGAGGCTCAGTTGTTG-1", "d15.data_TTCAATCCATTCTCCG-1", "d15.data_CCTGCATTCGCCAGTG-1", "d15.data_TCAAGACAGACCAACG-1", "d15.data_GAGTGTTCATCGTTCC-1", "d15.data_TCTTAGTCACTATCGA-1", "d15.data_CGCGTGAGTATTCCTT-1", "d15.data_AGATGCTCAAGTGCAG-1", "d15.data_CAAGAGGAGAGGGTGG-1", "d15.data_CCTCCAACAAGAGTGC-1", "d15.data_GTAGAAATCGACCACG-1", "d15.data_TCGCACTTCTAGGCCG-1", "d15.data_GGGACTCTCGACACTA-1", "d15.data_GGCGTCACACGCGTCA-1", "d15.data_CTAGACACAATTGAAG-1", "d15.data_TAGATCGCACCTCGTT-1", "d15.data_GGGACCTTCTCCAATT-1", "d15.data_AGAGCCCAGGGAGAAT-1", "d15.data_TGGTTAGGTGCGGTAA-1", "d15.data_TCTATCATCATACGAC-1", "d15.data_GACTCTCCACCCATAA-1", "d15.data_ATTACTCGTTCCTTGC-1", "d15.data_GAGTTTGCAAAGGTTA-1", "d15.data_AACCTGAAGAAGTCTA-1", "d15.data_CGCAGGTAGGTCACAG-1", "d15.data_TTGCATTCAGCATTGT-1", "d15.data_ACCGTTCTCCACTGAA-1", "d15.data_CCAATTTGTATCCCTC-1", "d15.data_AGCCAGCCACTATCCC-1", "d15.data_CATCGCTGTGAATTAG-1", "d15.data_CCTTCAGGTCTTGCTC-1", "d15.data_CATCCCACAGGCTATT-1", "d15.data_TGCTTGCGTTAAGCAA-1", "d15.data_TCCTTTCCACATTACG-1", "d15.data_CATTTCACAGGCGAAT-1", "d15.data_GAATAGAGTCGAGTGA-1", "d15.data_CAGCAGCCATCAGTGT-1", "d15.data_CAGCACGGTGGACCTC-1", "d15.data_TGGGTTAAGTGATTCC-1", "d15.data_CGCATGGTCACTGTTT-1", "d15.data_CCGTTCAGTACAGTCT-1", "d15.data_TGAATCGAGCAAGCCA-1", "d15.data_GCATCGGCAACACGTT-1", "d15.data_TCGGGCAAGCAAATCA-1", "d15.data_GTCCACTTCAGCCTTC-1", "d15.data_TAACGACTCACCGGGT-1", "d15.data_TGATCTTAGGCCACTC-1", "d15.data_TACAACGCAATTGCCA-1", "d15.data_TCAGGTACAAGGCGTA-1", "d15.data_GTAGTACCACCGTGCA-1", "d15.data_TTAGGCATCAAGAAAC-1", "d15.data_CATTCATAGCACTCTA-1", "d15.data_CTTCAATCAGAGATGC-1", "d15.data_TACCGGGGTGTGACCC-1", "d15.data_ACCTACCAGCATCTTG-1", "d15.data_TCCTGCAGTCAAAGTA-1", "d15.data_ATCTCTACACTCTAGA-1", "d15.data_CGGAACCAGGGAGTGG-1", "d15.data_AGATGAATCACTCACC-1", "d15.data_TGAGGGAAGAAGCCAC-1", "d15.data_ATCGCCTGTGTCTTCC-1", "d15.data_TTTAGTCTCCATCTAT-1", "d15.data_GGAAGTGCACTTCCTG-1", "d15.data_CTAACTTGTCGGTACC-1", "d15.data_GTGAGCCTCGCATGAT-1", "d15.data_CAAGGGACACATATGC-1", "d15.data_GATTTCTCACAGTCGC-1", "d15.data_TGCATGAGTCCACACG-1", "d15.data_TGCATCCGTACTAGCT-1", "d15.data_GACAGCCCACTCCCTA-1", "d15.data_TTACGTTTCCAGCAAT-1", "d15.data_TGCTTCGCACTGCATA-1", "d15.data_GGTGAAGCAGCGTTTA-1", "d15.data_AGGTCTATCGGCACTG-1", "d15.data_CACGGGTTCAACCTTT-1", "d15.data_CACTGTCGTTCGTTCC-1", "d15.data_ACAGCCGAGAAATTGC-1", "d15.data_CGGAACCCATCCGAAT-1", "d15.data_CCCTCAAAGACGACTG-1", "d15.data_GAGACCCTCACCTCGT-1", "d15.data_TAGCACAGTTCCGCGA-1", "d15.data_CGTTAGAAGTTCACTG-1", "d15.data_GTACAGTAGCCAAGTG-1", "d15.data_ATCCATTGTCACTCGG-1", "d15.data_CACTGTCCACACGTGC-1", "d15.data_CGTGATACACCAAATC-1", "d15.data_GTTAGACCATACCGTA-1", "d15.data_ATCACAGAGACTCGAG-1", "d15.data_ATCCCTGGTGACAGCA-1", "d15.data_TTTACGTCAATCAAGA-1", "d15.data_ACCATTTTCTGACAGT-1", "d15.data_CAGATCATCCCTGTTG-1", "d15.data_TCTATCAAGGTTCAGG-1", "d15.data_AAACGCTAGACGAGCT-1", "d15.data_CTCCTCCTCGATGCAT-1", "d15.data_CGAGTGCAGATCGACG-1", "d15.data_GGTGATTGTACTGGGA-1", "d15.data_AAGAACAAGACTACCT-1", "d15.data_CGACAGCAGCGCCCAT-1", "d15.data_CAAAGAAGTAACATAG-1", "d15.data_CACGTTCTCGTAATGC-1", "d15.data_ACACGCGCATCTATCT-1", "d15.data_TACATTCTCACCTACC-1", "d15.data_CCAATGATCCGACGGT-1", "d15.data_AACCCAACATCGTCCT-1", "d15.data_TTCAATCCAGGTCAGA-1", "d15.data_CTGCCATCAGCATTGT-1", "d15.data_TCATATCCACAACGTT-1", "d15.data_ATCCATTCAAAGCACG-1", "d15.data_CTCCATGCAATCGCCG-1", "d15.data_ATGAAAGTCCTCACTG-1", "d15.data_GTCATGACAGCGGTTC-1", "d15.data_CCGTAGGCAGCAGACA-1", "d15.data_AAAGGATCACACGCCA-1", "d15.data_TGGTACAGTGAACTAA-1", "d15.data_TTGGGATCATGCGGTC-1", "d15.data_TCATATCCAGCAAGAC-1", "d15.data_CCGTTCACAGTCTCTC-1", "d15.data_ATGCCTCCAATCGCAT-1", "d15.data_GGGTGTCTCGTAACTG-1", "d15.data_CTACATTTCTTCGGAA-1", "d15.data_TATATCCTCGAACACT-1", "d15.data_TACACCCAGCTATCTG-1", "d15.data_CACGAATTCACGACTA-1", "d15.data_AAACGCTTCTGCAGCG-1", "d15.data_AGCTCAACACAAAGCG-1", "d15.data_AACAACCTCTACCCAC-1", "d15.data_ACCAAACAGTCATGCT-1", "d15.data_AGTACCACACAATCTG-1", "d15.data_TACGTCCGTAACGGTG-1", "d15.data_AAGAACAGTGCTGCAC-1", "d15.data_CGAATTGCAAGAGAGA-1", "d15.data_TAAGCGTAGCCACCGT-1", "d15.data_CAGCCAGCAATACCTG-1", "d15.data_AAACCCATCGATCCCT-1", "d15.data_ATTCAGGCAGAGTTCT-1", "d15.data_TCTCACGTCCCTTCCC-1", "d15.data_CTGCATCTCCTACGAA-1", "d15.data_CAACAGTGTGATTAGA-1", "d15.data_CAATTTCTCTGTCCGT-1", "d15.data_TAATCTCCAATGCTCA-1", "d15.data_GGGACAATCCCGTGAG-1", "d15.data_ACTTATCAGAGCTGAC-1", "d15.data_TGGTGATGTAGACTGG-1", "d15.data_TCATGCCCACCTGCTT-1", "d15.data_CGTGCTTAGTTTCGAC-1", "d15.data_AAATGGAGTTCCGTTC-1", "d15.data_ATGGGAGTCTGGACTA-1", "d15.data_CTCCAACGTAAGTTAG-1", "d15.data_GATTCGATCCCGAAAT-1", "d15.data_ACGTAGTCACCGTGGT-1", "d15.data_TCCTGCATCCTCATAT-1", "d15.data_AGTTCCCCAGGCACTC-1", "d15.data_TCAATTCTCATCTACT-1", "d15.data_ACAGCCGAGCAATTCC-1", "d15.data_TTCAGGACAGTCAGCC-1", "d15.data_AGACCATTCAGCTGAT-1", "d15.data_TCCTGCACACCGTACG-1", "d15.data_ACGGTCGAGTCACAGG-1", "d15.data_GATGGAGCAATACCTG-1", "d15.data_TGACGCGAGAATTCAG-1", "d15.data_TTACCGCTCTCCTGCA-1", "d15.data_GGTCACGCAAGTGGCA-1", "d15.data_TGTTACTAGCGCCTCA-1", "d15.data_GAGGCCTGTCGCATTA-1", "d15.data_AACCTTTTCGGCTGAC-1", "d15.data_GGTCACGTCACATACG-1", "d15.data_TCCTAATTCTGGCCAG-1", "d15.data_AACCACAGTAGTCCTA-1", "d15.data_AATTTCCTCGTTCCTG-1", "d15.data_TGGAACTCAAACCATC-1", "d15.data_GGTGTCGCACGGATCC-1", "d15.data_GAAGGGTTCAGCACCG-1", "d15.data_ATCGTGACACTACGGC-1", "d15.data_CTGCGAGTCGGATTAC-1", "d15.data_TCTCAGCTCCGTCACT-1", "d15.data_TACCGAAAGCGCCTAC-1", "d15.data_TCAGTGAGTCACTTAG-1", "d15.data_AACAACCAGACAGCTG-1", "d15.data_TACCCACCATTCAGCA-1", "d15.data_TGGGAAGTCTAACGGT-1", "d15.data_TCTAACTTCTGACCCT-1", "d15.data_GCCAGTGCAGAATGTA-1", "d15.data_GAGGGATAGCGAAACC-1", "d15.data_AGGTAGGGTCGGCTAC-1", "d15.data_CGCCATTTCTCACTCG-1", "d15.data_AGTCATGAGTAACGTA-1", "d15.data_TCACGCTTCACTGTCC-1", "d15.data_TTAGGGTCATCGTTCC-1", "d15.data_ACATCGACACAAGCCC-1", "d15.data_CCGGGTATCATACGAC-1", "d15.data_TGCTCCACAAACTAGA-1", "d15.data_AACAAGACAACAACAA-1", "d15.data_TCAAGACTCAAACCTG-1", "d15.data_TTCAGGAAGTTACGTC-1", "d15.data_GTGTCCTAGGGAACAA-1", "d15.data_GTAGTACAGGAATTAC-1", "d15.data_GGGAGTACATGGCGCT-1", "d15.data_CATGAGTTCCTTCACG-1", "d15.data_TTCCTAAGTTGTCAGT-1", "d15.data_TGGAACTGTTTGCAGT-1", "d15.data_TTCACGCGTTCGATTG-1", "d15.data_CAGATTGCACGGTGTC-1", "d15.data_CAACCAAAGTGACCTT-1", "d15.data_TTTATGCTCCAACCAA-1", "d15.data_TGATCAGTCCTACGGG-1", "d15.data_AGAAGTATCTGCGGCA-1", "d15.data_TCTACATAGGCCTAGA-1", "d15.data_GATGAGGGTAACATAG-1", "d15.data_CCTACGTTCTAAACGC-1", "d15.data_CATAGACTCAATCAGC-1", "d15.data_ACCATTTTCCTTTGAT-1", "d15.data_ACGATCATCGTTCATT-1", "d15.data_TCCATGCTCTTGGGCG-1", "d15.data_TGATTTCTCATTCCTA-1", "d15.data_CCAATGAGTTTCCAAG-1", "d15.data_TATCCTACACCGTCGA-1", "d15.data_TACGCTCGTCACCGAC-1", "d15.data_AGGGCTCGTAGCCCTG-1", "d15.data_GATCCCTTCGTGCACG-1", "d15.data_AGTTAGCAGCGGATCA-1", "d15.data_CAGATACTCGAACGCC-1", "d15.data_GTGGAAGGTACCTTCC-1", "d15.data_AACAAGAAGGTTCACT-1", "d15.data_TGTAGACGTATTTCCT-1", "d15.data_GTCTTTAGTAGCGTAG-1", "d15.data_TACAACGGTCGTTGCG-1", "d15.data_ATCTTCACATGCAGGA-1", "d15.data_TTCCTCTGTGCTGATT-1", "d15.data_TGAGCGCCAGTAACCT-1", "d15.data_CACGTTCGTGCTTATG-1", "d15.data_GGGTATTGTGTCGATT-1", "d15.data_ATCCCTGGTATCCCTC-1", "d15.data_AATGCCAGTATTGACC-1", "d15.data_CGTTAGAAGTCGCTAT-1", "d15.data_ACCCTCAGTTACCGTA-1", "d15.data_GTGTAACAGATGAAGG-1", "d15.data_GAAGTAAAGTATAGAC-1", "d15.data_TGATGCAGTCGGTGAA-1", "d15.data_TAGGGTTTCTCGCAGG-1", "d15.data_TTCTTGATCGAGTCCG-1", "d15.data_GGTTGTAGTCTGATAC-1", "d15.data_CCGATCTCACATATCG-1", "d15.data_CATACTTAGTAGTCAA-1", "d15.data_TTTACGTAGAAGTCTA-1", "d15.data_GATCAGTTCTTTGCAT-1", "d15.data_CTCAGTCGTTGCGAAG-1", "d15.data_ACTTTGTGTAACGCGA-1", "d15.data_TCCATGCAGAAGCTGC-1", "d15.data_CCCGAAGCACCACATA-1", "d15.data_TCAAGACAGCCTGACC-1", "d15.data_GTCTAGAGTGCATGAG-1", "d15.data_CATTTCATCCAAACCA-1", "d15.data_CATTCTAAGAAGCGGG-1", "d15.data_AGACCATCATCTCCCA-1", "d15.data_TGTGAGTAGTATGGCG-1", "d15.data_AAGTTCGAGCTCATAC-1", "d15.data_TTTGTTGAGGGCAGAG-1", "d15.data_CGAAGGATCGTCTCAC-1", "d15.data_CCAATTTGTAAGCAAT-1", "d15.data_TTACCATCATTGCAAC-1", "d15.data_CGAAGGACATCTGGGC-1", "d15.data_TGGAGAGAGCCACAAG-1", "d15.data_GAGTTGTGTCACCGCA-1", "d15.data_AAGCGAGGTACCTAAC-1", "d15.data_GGGTCACGTATGTCAC-1", "d15.data_GAGTGTTTCTCTCGAC-1", "d15.data_CTTACCGCAGACTCTA-1", "d15.data_CAGCACGGTCCTACGG-1", "d15.data_CTACGGGAGACATAGT-1", "d15.data_TTTCATGGTAGAAACT-1", "d15.data_ATTCATCCATACTTTC-1", "d15.data_CATTGTTCACGTGAGA-1", "d15.data_TCTATCAAGCGTGAGT-1", "d15.data_TCATGTTAGTCTTCCC-1", "d15.data_CTAGGTATCTGCTTTA-1", "d15.data_AGGGTGAGTAGGCTGA-1", "d15.data_ACTCTCGTCCGACATA-1", "d15.data_TCTACATGTCCTTAAG-1", "d15.data_GTGGAAGGTTTCCAAG-1", "d15.data_TAGGTTGTCCGATAAC-1", "d15.data_AGCTCAAGTTACCTGA-1", "d15.data_CATCGTCCATCGAACT-1", "d15.data_GCTCAAAAGCCGGATA-1", "d15.data_AGTGCCGCACCTCTAC-1", "d15.data_GAATAGAAGTCCTGTA-1", "d15.data_TCCATCGTCAGGACGA-1", "d15.data_AGGTCATCAGCAGGAT-1", "d15.data_TCCTCGATCGACCCAG-1", "d15.data_TAACTTCGTCCTGAAT-1", "d15.data_ACCATTTCATACTTTC-1", "d15.data_ATGTCCCAGATTTGCC-1", "d15.data_GTTGTAGCACACAGCC-1", "d15.data_CACATGACATCCAACA-1", "d15.data_CGAATTGTCCACACCT-1", "d15.data_TGGAGAGAGATGCAGC-1", "d15.data_ATCATTCTCGGCCAAC-1", "d15.data_TGTTCCGGTCTACGTA-1", "d15.data_TCACGCTTCACACCCT-1", "d15.data_TGATCAGAGGTCCGAA-1", "d15.data_AATGAAGCAATGTTGC-1", "d15.data_CTGCATCCAGATCCAT-1", "d15.data_GCATCTCGTTCATCTT-1", "d15.data_CATGCGGGTATGGGAC-1", "d15.data_TGACCCTAGCAGGCTA-1", "d15.data_TCAATTCGTATTGACC-1", "d15.data_TCTTTGAGTATAGGGC-1", "d15.data_GTAGAAAAGCCGATTT-1", "d15.data_TCAGCAACAGGATTCT-1", "d15.data_TCCATGCAGTTCCGGC-1", "d15.data_CCCTCAATCGAACTCA-1", "d15.data_ACAGCCGGTGTCCGTG-1", "d15.data_GGATGTTAGAAACTGT-1", "d15.data_TAAGTCGAGTGGTTCT-1", "d15.data_CTCAAGAAGCACACAG-1", "d15.data_GGGATCCAGGACTATA-1", "d15.data_CAGCAATCAGGCTACC-1", "d15.data_AACCTTTCACAGTGAG-1", "d15.data_TACCTCGTCTGAGCAT-1", "d15.data_GTGGGAACATACAGCT-1", "d15.data_TGTGAGTTCGAACGCC-1", "d15.data_TATCAGGCATTCTGTT-1", "d15.data_TCACACCTCAACTGGT-1", "d15.data_TATCCTACATCCGCGA-1", "d15.data_TGCACGGGTTTCGTAG-1", "d15.data_CACGTTCCAGACAATA-1", "d15.data_AAGCCATAGCTTTCTT-1", "d15.data_ACTCCCATCATGTCAG-1", "d15.data_GCACGTGCATCCTTGC-1", "d15.data_TGAGGTTCAGCTAACT-1", "d15.data_CCGATGGCACCGTGCA-1", "d15.data_GGCGTCAGTGGTAATA-1", "d15.data_CCGCAAGTCAGCCTTC-1", "d15.data_CCGGACATCAGACCTA-1", "d15.data_AGAGCCCCAGACTGCC-1", "d15.data_GGGAGATGTTCCCACT-1", "d15.data_ATTTACCGTAGACAGC-1", "d15.data_TGCAGATTCCATTGTT-1", "d15.data_TGTGAGTTCAGTCACA-1", "d15.data_ATCCTATTCCTTCACG-1", "d15.data_CTCATGCTCTATCGTT-1", "d15.data_TCTTGCGAGCAACAGC-1", "d15.data_GGAACCCTCCAAACCA-1", "d15.data_TCTGGCTCAGCGTACC-1", "d15.data_CAACAGTCAGTCTGGC-1", "d15.data_TCACTATTCAGTCTTT-1", "d2b.data_CAAGCTACAAACTAAG-1", "d2b.data_CGCATAATCTGGAAGG-1", "d2b.data_TATTGCTAGTAGCAAT-1", "d2b.data_TTCGATTTCGGAAACG-1", "d2b.data_TAAGCGTTCGTGCAGC-1", "d2b.data_TACTGCCAGATCCTAC-1", "d2b.data_CGTGTCTAGCACCGTC-1", "d2b.data_CCTTGTGAGAAGGTAG-1", "d2b.data_GGTTCTCAGCTTGTTG-1", "d2b.data_GTACAACAGTTCGGTT-1", "d2b.data_ATCCGTCGTGTGACCC-1", "d2b.data_TTGTTTGTCTTCTTCC-1", "d2b.data_GTGAGTTTCGCAATGT-1", "d2b.data_GGCAGTCAGGTCTGGA-1", "d2b.data_TACAGGTAGCCTCGTG-1", "d2b.data_GTCGTTCAGCACCGAA-1", "d2b.data_TGAGCGCGTCTGTGTA-1", "d2b.data_CACCAAAGTCGCTTGG-1", "d2b.data_GTCGTTCTCTACTCAT-1", "d2b.data_TGACTCCCATGGCCCA-1", "d2b.data_TGACGCGTCGGCTGGT-1", "d2b.data_GTTCATTAGATCGCCC-1", "d2b.data_GTCGTTCGTGTCCATA-1", "d2b.data_AAGTGAACAAGACTGG-1", "d2b.data_CGATCGGAGCCGTCGT-1", "d2b.data_TCTATCAAGTCGTCTA-1", "d2b.data_TCGAAGTCACTAGGTT-1", "d2b.data_ATTGGGTGTGTTACAC-1", "d2b.data_GGGTAGAGTCGTCATA-1", "d2b.data_CTCTCAGGTCTTTCAT-1", "d2b.data_TACTTGTTCGTTGTGA-1", "d2b.data_CCCGAAGCAACAGAGC-1", "d2b.data_GATGGAGCAGAGTCTT-1", "d2b.data_GGGTATTCACAGACGA-1", "d2b.data_CCTGTTGGTAAGTCAA-1", "d2b.data_TGAATGCCAGCAATTC-1", "d2b.data_GAATAGAGTGTTAAAG-1", "d2b.data_TGATCTTTCCCTGGTT-1", "d2b.data_AAGACTCGTGCTCGTG-1", "d2b.data_CTATCTAAGGAAAGGT-1", "d2b.data_AGGTCTATCCGTTGAA-1", "d2b.data_GTTCGCTGTAATGATG-1", "d2b.data_AAGCCATTCGAATCCA-1", "d2b.data_CTCATTAGTCTACATG-1", "d2b.data_TACCTGCAGTCTGCGC-1", "d2b.data_CTTCCTTGTGTCATGT-1", "d2b.data_GGGACTCGTGCAACGA-1", "d2b.data_CCGTAGGAGGCTAAAT-1", "d2b.data_TCGTGCTTCAGTGTCA-1", "d2b.data_TGTTCCGAGCGATCGA-1", "d2b.data_GACTCAAAGGATGTTA-1", "d2b.data_TCGTAGAGTTCTGACA-1", "d2b.data_TAACTTCTCGGAGATG-1", "d2b.data_CATTCCGGTAGCACGA-1", "d2b.data_TGCTCCACAAGCGGAT-1", "d2b.data_TGTTCATCAACGGTAG-1", "d2b.data_CTCAGTCAGCTCGAAG-1", "d2b.data_GAAGGACTCAAGAGGC-1", "d2b.data_TTCGCTGAGGGCAAGG-1", "d2b.data_TAGTGCAAGTGGTGAC-1", "d2b.data_ATGGATCGTGTGCCTG-1", "d2b.data_GTTACGATCGTAACTG-1", "d2b.data_ACTCTCGGTCCGGTGT-1", "d2b.data_GGGTCTGAGCGAACTG-1", "d2b.data_GGGAGATCAGAAGTGC-1", "d2b.data_TCCTAATAGCGTCGAA-1", "d2b.data_TCGTCCATCACTGAAC-1", "d2b.data_ATCCCTGGTCTAACTG-1", "d2b.data_TCGTAGAAGATTAGTG-1", "d2b.data_GTTAGTGTCTGAATGC-1", "d2b.data_TTCCTTCTCAGAGTGG-1", "d2b.data_TGCAGATCACAACGAG-1", "d2b.data_ACACTGATCGACATTG-1", "d2b.data_CTATAGGTCTGAGTCA-1", "d2b.data_GGTAATCGTCGCGTCA-1", "d2b.data_TGCGGCAGTTGCTAGT-1", "d2b.data_CACAGGCCACTGCATA-1", "d2b.data_ATCGGCGGTAACAGGC-1", "d2b.data_TCAAGTGAGTAGCCAG-1", "d2b.data_CGACAGCTCTCGCTCA-1", "d2b.data_AGCTTCCCAACAGAGC-1", "d2b.data_ATTCCATCATGGAAGC-1", "d2b.data_AGGATAAGTCTTCCGT-1", "d2b.data_GATTGGTCAAGTGGAC-1", "d2b.data_CGAGGCTGTAACATCC-1", "d2b.data_CAGCAATGTCAAGCCC-1", "d2b.data_AGACCATCAAGGGCAT-1", "d2b.data_TGCTTGCAGTCCTGCG-1", "d2b.data_CGTGCTTAGAGTAACT-1", "d2b.data_GTTCTATTCGTGGCGT-1", "d2b.data_TGAGCATGTTTGAACC-1", "d2b.data_TGAATCGAGACCAACG-1", "d2b.data_AATCGTGGTACGCTTA-1", "d2b.data_CACAGGCAGGTCACCC-1", "d2b.data_GTGTAACCACTCCACT-1", "d2b.data_TTTGGTTAGCGGGTAT-1", "d2b.data_AAGCGTTAGGCATCAG-1", "d2b.data_GCCAACGCAGAGAGGG-1", "d2b.data_TCACAAGTCTCTGCCA-1", "d2b.data_ACTTAGGGTGGATCGA-1", "d2b.data_CAGCACGAGGTTATAG-1", "d2b.data_CTGTGGGTCGCTGTCT-1", "d2b.data_GATTCGATCGGCTATA-1", "d2b.data_TAGCACACATGCAGCC-1", "d2b.data_AGTTCGAGTGTCCACG-1", "d2b.data_GTATTTCGTCAAAGTA-1", "d2b.data_TGCTCGTCAAGGTCTT-1", "d2b.data_AAGACTCGTTCGTACA-1", "d2b.data_ACCGTTCCAGACTGCC-1", "d2b.data_AAACGCTAGGAACTCG-1", "d2b.data_TCCCATGCACGTACAT-1", "d2b.data_ATTTCACAGGTCGCCT-1", "d2b.data_GTTGAACCAATCTCTT-1", "d2b.data_GAGGCCTCAGCTCGGT-1", "d2b.data_ATTCCATTCGTGGGTC-1", "d2b.data_TCCATCGAGTGCGACA-1", "d2b.data_AAGGAATTCCATCTGC-1", "d2b.data_GTCAAGTTCTCTATAC-1", "d2b.data_GTGGTTAAGCAAGCCA-1", "d2b.data_GGATGTTCACTGCGAC-1", "d2b.data_GTGGCGTAGGGTACAC-1", "d2b.data_GATCACAGTGGACCTC-1", "d2b.data_GAGTGTTTCCAATCCC-1", "d2b.data_GTATTTCTCCTTCTAA-1", "d2b.data_AGAACAAGTAGGAGTC-1", "d2b.data_CAGATTGGTTCCAGGC-1", "d2b.data_AGAGCCCTCGGATTAC-1", "d2b.data_TCAAGTGAGGTGCGAT-1", "d2b.data_GAAATGATCGAAGCCC-1", "d2b.data_GATTTCTTCAAATGAG-1", "d2b.data_CACGGGTTCGATACTG-1", "d2b.data_AAAGGTAGTAGGGTAC-1", "d2b.data_CTTCGGTCAACTCCCT-1", "d2b.data_ATAGAGATCAAACGAA-1", "d2b.data_GCATTAGCATGTCAGT-1", "d2b.data_GTGCGTGTCCTGGGAC-1", "d2b.data_GTGGAGAAGGAAGAAC-1", "d2b.data_CGCGTGAAGAGTGTTA-1", "d2b.data_CCGGTGAGTAACAGTA-1", "d2b.data_AAGTTCGAGGTTGCCC-1", "d2b.data_CTAGACAGTGGAACCA-1", "d2b.data_ATCACGAGTTCGTTCC-1", "d2b.data_CGGGTCAGTAGAGATT-1", "d2b.data_TTTGTTGAGGAAAGTG-1", "d2b.data_GTGTAACGTAAGTAGT-1", "d2b.data_AACAAAGTCTGTCCGT-1", "d2b.data_TTTGTTGAGGGAGTTC-1", "d2b.data_AAAGGATCACTAACGT-1", "d2b.data_TGTTCTAGTGCATTTG-1", "d2b.data_GTCTTTAAGATCGACG-1", "d2b.data_GCTACAAGTAGGTACG-1", "d2b.data_ATTTCTGAGGCGTTGA-1", "d2b.data_GTCCTCAGTCAGGCAA-1", "d2b.data_GTGCTGGGTCATCACA-1", "d2b.data_AATCACGAGCCTGACC-1", "d2b.data_CTACGGGCACACCAGC-1", "d2b.data_CCGAACGTCGAGCCTG-1", "d2b.data_CAATACGGTGTATCCA-1", "d2b.data_GAAGCGAAGAATCCCT-1", "d2b.data_TTCTTGAAGGCCATAG-1", "d2b.data_TCTATCAGTGGCAGAT-1", "d2b.data_TCATTGTAGGGACCAT-1", "d2b.data_ATTCCCGAGATGACCG-1", "d2b.data_GAAGAATGTCGATTTG-1", "d2b.data_ATCGGATAGTCGTCTA-1", "d2b.data_TGCGGCAAGCATGGGT-1", "d2b.data_TCTTTGACAGACATCT-1", "d2b.data_AGCGATTGTCACTTAG-1", "d2b.data_ACTGTCCGTCAACGCC-1", "d2b.data_CGTGAATCATCCGATA-1", "d2b.data_GCGATCGGTCTCACAA-1", "d2b.data_CGAATTGCATTCATCT-1", "d2b.data_TCAAGCAGTTTCGGCG-1", "d2b.data_GCCAGTGAGAGGCTGT-1", "d2b.data_GATGATCTCAGTCAGT-1", "d2b.data_TTTGATCCAATGAGCG-1", "d2b.data_CAACCTCGTCTACAAC-1", "d2b.data_TGACAGTTCCCATTCG-1", "d2b.data_GCCGTGAGTGACTCGC-1", "d2b.data_CGGGCATCACTCTCGT-1", "d2b.data_CAGGGCTGTAGTAAGT-1", "d2b.data_TCAATCTGTCGTAATC-1", "d2b.data_CGTTAGATCATGCCAA-1", "d2b.data_CTGCGAGGTACTCAAC-1", "d2b.data_GGAACCCGTCGGTACC-1", "d2b.data_CTTGAGAAGCCTCTTC-1", "d2b.data_AGTAGTCGTACTTGTG-1", "d2b.data_CTAGACAAGATGCTGG-1", "d2b.data_AACAGGGAGGTAGGCT-1", "d2b.data_TCAAGTGTCGCGTGCA-1", "d2b.data_TCTCTGGGTTATAGAG-1", "d2b.data_GGTTGTAAGCAGGTCA-1", "d2b.data_CCGTTCAGTTCAGCGC-1", "d2b.data_GGTTGTATCCTTCTGG-1", "d2b.data_TGACGCGGTTCAAAGA-1", "d2b.data_TACCGGGGTGATAGAT-1", "d2b.data_ACGTAGTGTAGATTGA-1", "d2b.data_GAAGGGTTCAGGGATG-1", "d2b.data_TCCTTTCAGGAGAATG-1", "d2b.data_TCCGATCGTGGCGTAA-1", "d2b.data_CGATGGCGTAGTACGG-1", "d2b.data_TTCCGGTCAAGAGCTG-1", "d2b.data_TAGACTGAGCTTCATG-1", "d2b.data_GGTTAACCAGTACTAC-1", "d2b.data_AAAGTGATCGCTATTT-1", "d2b.data_TCATGCCGTGCGAGTA-1", "d2b.data_GAATCGTGTCTTCATT-1", "d2b.data_ATGATCGTCCCATAGA-1", "d2b.data_CACAACACACCCGTAG-1", "d2b.data_GATCATGCACTGGACC-1", "d2b.data_TCTACCGAGCCGCTTG-1", "d2b.data_TTCGGTCGTCTGCGCA-1", "d2b.data_CCGGTAGAGGCTGTAG-1", "d2b.data_GCCAGGTCAACGGCTC-1", "d2b.data_AACACACCAATTGCGT-1", "d2b.data_TGGGCTGTCTGCGATA-1", "d2b.data_GGATCTAGTGTACGCC-1", "d2b.data_TCTATACGTGTTAGCT-1", "d2b.data_CTCATCGCATTGGATC-1", "d2b.data_GGAGATGTCAACTTTC-1", "d2b.data_TTTCACAAGGAAAGAC-1", "d2b.data_CACGAATTCGAAGAAT-1", "d2b.data_AGGTTGTGTTCGAAGG-1", "d2b.data_AGTAGCTGTAGGATAT-1", "d2b.data_GGAGAACTCGTTGCCT-1", "d2b.data_GGGCCATTCTTGTGCC-1", "d2b.data_TACTTGTTCGGAAGGT-1", "d2b.data_CGTGCTTTCAACCTCC-1", "d2b.data_CCGGGTAAGCCTCTGG-1", "d2b.data_ACACCAAGTCTTGAGT-1", "d2b.data_TGTGCGGGTGTCCAAT-1", "d2b.data_TGGAACTCAGACAAGC-1", "d2b.data_AGACTCATCTCTCGAC-1", "d2b.data_TTCCTCTGTAGATCGG-1", "d2b.data_GCGATCGGTTATGGTC-1", "d2b.data_AGACAAATCTCACGAA-1", "d2b.data_ATCATTCGTGTGTTTG-1", "d2b.data_CGTGTCTCAGACCATT-1", "d2b.data_AGACACTAGGCGATAC-1", "d2b.data_ATTCGTTGTTTGTGGT-1", "d2b.data_ATCGTAGGTGGAAATT-1", "d2b.data_CAGCGTGTCGGCTATA-1", "d2b.data_AAGTTCGCAAGAATGT-1", "d2b.data_TAGACCAAGAAGGCTC-1", "d2b.data_GTCACTCAGCAATTAG-1", "d2b.data_GAAACCTGTTGCTCGG-1", "d2b.data_CCTGTTGGTCCACTTC-1", "d2b.data_AGCGTATAGCACGGAT-1", "d2b.data_CAACGATAGAGCCGAT-1", "d2b.data_TTCTAGTAGTGAGGTC-1", "d2b.data_TGTAGACGTAGTCTGT-1", "d2b.data_CATCCACCAGCCGTTG-1", "d2b.data_TCCCATGAGGTTAGTA-1", "d2b.data_GAGGCCTTCGAACCAT-1", "d2b.data_GAATAGACACGGTGTC-1", "d2b.data_CACAGGCGTCGCCTAG-1", "d2b.data_ATGGGTTTCACCTACC-1", "d2b.data_ATCGCCTTCATGAGGG-1", "d2b.data_CATGCAAAGGTAGCAC-1", "d2b.data_CTTCTCTTCTTAATCC-1", "d2b.data_GATGTTGAGGGAGTGG-1", "d2b.data_TCATGTTCACGGGTAA-1", "d2b.data_TCATTCACAAGAATGT-1", "d2b.data_TATCCTATCTTTCAGT-1", "d2b.data_TTCTAACTCCAGCAAT-1", "d2b.data_CCTGCATTCCTTCTAA-1", "d2b.data_TTCCGGTTCACTTATC-1", "d2b.data_ATCCGTCGTAACATGA-1", "d2b.data_TGAGGGATCACTTATC-1", "d2b.data_GAAACCTGTCGTGTTA-1", "d2b.data_TGTGTGAAGGCATCTT-1", "d2b.data_AGGAGGTCACTTCATT-1", "d2b.data_ACCATTTTCTTCCTAA-1", "d2b.data_CTCCTTTTCAAGGTGG-1", "d2b.data_ATGAGGGCAAGAGGTC-1", "d2b.data_TCTCACGAGACAGCTG-1", "d2b.data_TTGTTTGGTGGGCTTC-1", "d2b.data_CGAGAAGAGCATCAGG-1", "d2b.data_CGTAAGTTCGTAGCCG-1", "d2b.data_AATGAAGCACATCATG-1", "d2b.data_CGAGGCTAGAAATTCG-1", "d2b.data_GAATCGTCAGGCGTTC-1", "d2b.data_CCCAACTAGGAGAGGC-1", "d2b.data_GATCGTACACCATATG-1", "d2b.data_GCAGGCTAGTAGGAAG-1", "d2b.data_GCAGGCTGTATGAAGT-1", "d2b.data_CATCAAGAGCACCGAA-1", "d2b.data_CATGGATCAGATTTCG-1", "d2b.data_ACGGGTCGTCACCTTC-1", "d2b.data_ACTGTCCTCCATTTGT-1", "d2b.data_GGTGTTATCCGCTTAC-1", "d2b.data_ATGCCTCGTGTTGATC-1", "d2b.data_ACCCTCATCTGCAGCG-1", "d2b.data_CTAAGTGCAACAAGTA-1", "d2b.data_GTGTTCCTCTACCACC-1", "d2b.data_GAGTGAGCATGACGGA-1", "d2b.data_CGTCAAAAGCGACATG-1", "d2b.data_ACACGCGGTTGTAAAG-1", "d2b.data_GGGACTCGTATGACAA-1", "d2b.data_TCATTTGGTTGCCTAA-1", "d2b.data_CGAGTTAGTGTCCCTT-1", "d2b.data_GAGTGTTTCTACAGGT-1", "d2b.data_TGTGATGTCTACCCAC-1", "d2b.data_GCCCGAAGTGTATCCA-1", "d2b.data_ACAACCAGTTGTTGCA-1", "d2b.data_TTCCGGTAGCGTTACT-1", "d2b.data_TCGTGCTTCTGTGTGA-1", "d2b.data_TGGAACTGTTACCCAA-1", "d2b.data_TCTATACGTTGCTTGA-1", "d2b.data_TCATGAGCACTGGAAG-1", "d2b.data_CTTACCGAGCGTGAAC-1", "d2b.data_ACAGGGATCCAAGCAT-1", "d2b.data_TCGGATAGTGACGTCC-1", "d2b.data_CGTGAATGTTGCCGCA-1", "d2b.data_GTCCACTCATCACAGT-1", "d2b.data_GTTTGGACAGTACTAC-1", "d2b.data_ACAAGCTTCGAGAATA-1", "d2b.data_GGTTAACGTTTCCCAC-1", "d2b.data_GTGTCCTCATCATCCC-1", "d2b.data_ATCGGATCAGCTTCCT-1", "d2b.data_TCACTCGGTGAAGCTG-1", "d2b.data_AGACCATTCGCATAGT-1", "d2b.data_CAACCAACATGTCAGT-1", "d2b.data_ACAAGCTGTCGTGCCA-1", "d2b.data_ACACGCGTCATGAGGG-1", "d2b.data_CCTAAGAGTGATTGGG-1", "d2b.data_GCGGATCGTGGATCAG-1", "d2b.data_CGCAGGTAGCTCACTA-1", "d2b.data_TTTCGATTCTCCGATC-1", "d2b.data_TCACACCGTTGGACCC-1", "d2b.data_CTCCGATTCGATAACC-1", "d2b.data_GTCAAGTAGAGGTATT-1", "d2b.data_TGATCAGTCCAAAGGG-1", "d2b.data_AGTGATCTCACCGACG-1", "d2b.data_GTCGTAAGTGTCGCTG-1", "d2b.data_TATGTTCTCACTCCGT-1", "d2b.data_ACATGCAGTCAGCTTA-1", "d2b.data_AGTGCCGTCTCGCAGG-1", "d2b.data_CAGTTAGCAGAACCGA-1", "d2b.data_AGGCATTTCGAGGCAA-1", "d2b.data_CCACTTGTCCTTCTTC-1", "d2b.data_TGAATCGTCTAAGAAG-1", "d2b.data_GCAGGCTAGGGATCTG-1", "d2b.data_GGCTTTCGTGATATAG-1", "d2b.data_GCAACATGTCTTGTCC-1", "d2b.data_ATGATCGCACTGGCCA-1", "d2b.data_TCGCACTCAAGGGTCA-1", "d2b.data_AACAAAGTCACTGATG-1", "d2b.data_CAGATACAGACATAAC-1", "d2b.data_CAGTTAGCAATAAGGT-1", "d2b.data_TGGTTAGGTGTACGCC-1", "d2b.data_TCGCAGGGTTTCACAG-1", "d2b.data_TACGTCCGTGCAACGA-1", "d2b.data_CAGCGTGGTAGGTGCA-1", "d2b.data_GACCAATCACAGTCCG-1", "d2b.data_GGGAGTATCTTACACT-1", "d2b.data_TGCACGGAGTCGCTAT-1", "d2b.data_GAGTCATCAAGCGCAA-1", "d2b.data_AGGGTCCAGGTTACAA-1", "d2b.data_CCACGTTGTACAGAGC-1", "d2b.data_AGTGACTCAGTCAGCC-1", "d2b.data_CGTGATAGTCTGTCCT-1", "d2b.data_ATCGCCTCACGAGAAC-1", "d2b.data_GCAACATGTAAGATCA-1", "d2b.data_GATAGAAAGGCTTCCG-1", "d2b.data_GCGTGCAAGGCCTAGA-1", "d2b.data_CGTTAGAAGTTCGCAT-1", "d2b.data_AGGTAGGTCCGTGTAA-1", "d2b.data_GCATCGGTCGCGTGAC-1", "d2b.data_CTTCGGTGTTTGGAAA-1", "d2b.data_ATATCCTAGCAGTAAT-1", "d2b.data_TGGAGAGGTCAGTCTA-1", "d2b.data_TAACGACGTTAACCTG-1", "d2b.data_TCTGGCTGTCTGCGCA-1", "d2b.data_GTAGGAGCAGATTAAG-1", "d2b.data_AGTGTTGTCCGTGGCA-1", "d2b.data_GTCATTTAGGGCAAGG-1", "d2b.data_CTAAGTGAGGTTCATC-1", "d2b.data_ACTTTCACACCCTCTA-1", "d2b.data_GACGCTGGTTGGGCCT-1", "d2b.data_ATTCAGGTCACGAACT-1", "d2b.data_GTGAGTTGTCTAGTGT-1", "d2b.data_TATCTGTTCTAGAGCT-1", "d2b.data_TGTTGGACATGTCTAG-1", "d2b.data_AAACCCAGTTTCGACA-1", "d2b.data_TCGCAGGCAGCGGTTC-1", "d2b.data_CCCTTAGGTTAGAGTA-1", "d2b.data_TCGTGGGGTTCAGCGC-1", "d2b.data_ATACTTCCAGTCTCTC-1", "d2b.data_TGACTCCTCCGCAGTG-1", "d2b.data_GTTGCGGAGCAGTAAT-1", "d2b.data_ATCATTCTCGCCAGAC-1", "d2b.data_TTGACCCGTTTGATCG-1", "d2b.data_CATACCCCAAATCAGA-1", "d2b.data_CTTCTAATCGAGTGAG-1", "d2b.data_CGCGTGAGTAAGCAAT-1", "d2b.data_TCCGGGATCGTTCAGA-1", "d2b.data_CATCGGGTCAAGCCTA-1", "d2b.data_GCTCAAAAGGCTTCCG-1", "d2b.data_GAGGGTAAGTAATTGG-1", "d2b.data_TGCGACGGTATAGGAT-1", "d2b.data_TCGGATAAGTTGGGAC-1", "d2b.data_GACTGATTCACCATCC-1", "d2b.data_CGTGCTTCAATAGAGT-1", "d2b.data_AACCACAAGGTACCTT-1", "d2b.data_ATTACCTTCACCGGTG-1", "d2b.data_CTGTGAAGTCTTCAAG-1", "d2b.data_GCGGATCCAGAGAAAG-1", "d2b.data_ATCGTCCAGACTTCCA-1", "d2b.data_GTAGTACAGCTAAGTA-1", "d2b.data_ATTACCTGTGAGATAT-1", "d2b.data_TCGACGGAGACGCATG-1", "d2b.data_CCAATTTGTTATCCAG-1", "d2b.data_AACCATGTCTGCCCTA-1", "d2b.data_GCATGATGTGTAGTGG-1", "d2b.data_TTACGCCCAACACAAA-1", "d2b.data_ATGCGATCACGGTGAA-1", "d2b.data_CTAGGTAAGTCACTAC-1", "d2b.data_GGTCACGAGTAGCCAG-1", "d2b.data_AAGACTCCATGATAGA-1", "d2b.data_TCCAGAAGTGAGGAAA-1", "d2b.data_TACGGGCGTTGTGTTG-1", "d2b.data_CTCCGATTCTCGTGAA-1", "d2b.data_TGATGGTTCCGTCCTA-1", "d2b.data_AATGGCTGTTGTATGC-1", "d2b.data_TAAGCACGTCCCTAAA-1", "d2b.data_CAGATTGTCTTCCGTG-1", "d2b.data_AGATCGTCATGGGATG-1", "d2b.data_ACGATGTGTCGTTCAA-1", "d2b.data_CGAATTGGTACAGTTC-1", "d2b.data_ATGGAGGGTCGCAACC-1", "d2b.data_TAGGTTGCATACTTTC-1", "d2b.data_TACTTCAAGTTGCGAG-1", "d2b.data_GTGGAGACAAAGTGTA-1", "d2b.data_GCAACATAGTGGCAGT-1", "d2b.data_GTAGTACCAAACTCGT-1", "d2b.data_AACAAAGGTTGTCATG-1", "d2b.data_GTGGAAGGTGCATACT-1", "d2b.data_GGCACGTAGCCTCGTG-1", "d2b.data_GTTAGTGTCGCCAATA-1", "d2b.data_ACTGTGATCGATACAC-1", "d2b.data_ATGGAGGCACACCTTC-1", "d2b.data_GGATCTACAGCGAGTA-1", "d2b.data_AGAGCAGAGATGGTAT-1", "d2b.data_TCGACCTTCGTAACCA-1", "d2b.data_GAACTGTAGCCTGTGC-1", "d2b.data_AGAGAGCAGGGCAATC-1", "d2b.data_TCACTATTCGTAGCCG-1", "d2b.data_AGGTAGGAGCCTCTCT-1", "d2b.data_AGATCGTTCCTCAGAA-1", "d2b.data_TTCGGTCCAAATGGTA-1", "d2b.data_TGTAAGCGTGCGGTAA-1", "d2b.data_CTCCTTTGTACAGGTG-1", "d2b.data_TCTCCGAGTCGCCTAG-1", "d2b.data_GTAGATCGTCTGCATA-1", "d2b.data_GCCCAGAAGAGACAAG-1", "d2b.data_TGACTCCGTTCATCGA-1", "d2b.data_TCCCAGTAGCTGGAGT-1", "d2b.data_TGAGCATAGGCACTAG-1", "d2b.data_TACTGCCTCGATAACC-1", "d2b.data_CAGATCAGTGGTTCTA-1", "d2b.data_TGTGTGAGTGCCTTTC-1", "d2b.data_ATAGAGAGTGAACTAA-1", "d2b.data_TTTAGTCGTACGACAG-1", "d2b.data_ATTTCTGGTAAGCAAT-1", "d2b.data_GACGCTGGTAAGCGGT-1", "d2b.data_TCTACCGAGACTGAGC-1", "d2b.data_CCACAAAGTCTACTGA-1", "d2b.data_CATTGCCAGCGGATCA-1", "d2b.data_CGGAGAAAGGCGCTTC-1", "d2b.data_GAAGGGTGTAGAGTTA-1", "d2b.data_TTATTGCTCGATACAC-1", "d2b.data_TTCCTAAAGACGCCAA-1", "d2b.data_GAGCTGCTCCAAGAGG-1", "d2b.data_AGGATAAAGCACCGAA-1", "d2b.data_GGTGAAGAGAGTGAAG-1", "d2b.data_AATGACCAGTATGTAG-1", "d2b.data_GCAGCCAGTGCGTTTA-1", "d2b.data_AGGACTTGTAGTGCGA-1", "d2b.data_CTTTCGGGTCTGTTAG-1", "d2b.data_GTAGAGGAGGGTTGCA-1", "d2b.data_TAGGAGGTCCCAGGAC-1", "d2b.data_ACGTAACAGTGCTCGC-1", "d2b.data_AACAGGGAGGCCTGCT-1", "d2b.data_TCATATCGTATGCGGA-1", "d2b.data_CTACATTCATCGAGCC-1", "d2b.data_GGTGTCGTCACAGAGG-1", "d2b.data_CAGCAGCAGCTAAGTA-1", "d2b.data_TACGTCCTCTCCTGCA-1", "d2b.data_GGGAGTACACACCGCA-1", "d2b.data_TGGGAGAAGAAATTCG-1", "d2b.data_CCGTAGGAGTGTAGAT-1", "d2b.data_ATCCCTGTCGAACCTA-1", "d2b.data_TTACCATCACAAAGCG-1", "d2b.data_TGATGCACACTTCATT-1", "d2b.data_TGGAGAGCACGTGTGC-1", "d2b.data_AGGTCTAGTCAACCAT-1", "d2b.data_CGAGGCTCATCGCTGG-1", "d2b.data_CTACCCATCGTCAAAC-1", "d2b.data_CAACCAATCGAAGCCC-1", "d2b.data_ATACTTCGTATGAAGT-1", "d2b.data_AACGAAACATGAAAGT-1", "d2b.data_GCCCGAAGTGCCTGAC-1", "d2b.data_AACGTCATCGACGATT-1", "d2b.data_TTCATGTCAATCTCTT-1", "d2b.data_CACCAAATCAGCTTCC-1", "d2b.data_GTCATCCAGTAGGCCA-1", "d2b.data_TGCAGTAAGGTTCACT-1", "d2b.data_TCACGCTCAGAGCCCT-1", "d2b.data_GGGTTATCATGACGAG-1", "d2b.data_AGATGAAGTTGTAAAG-1", "d2b.data_ACTTAGGTCCAAGCCG-1", "d2b.data_ACGATGTAGGGAGTTC-1", "d2b.data_ATATCCTCAAGCGAAC-1", "d2b.data_ACGTCCTAGAGCTGAC-1", "d2b.data_TTGGATGTCAATCCAG-1", "d2b.data_CTCATTATCATGAGGG-1", "d2b.data_TCGCAGGGTGATTGGG-1", "d2b.data_TGGTGATAGAAGCGCT-1", "d2b.data_GGTTCTCTCTTCGGAA-1", "d2b.data_TGCACGGAGGCACCAA-1", "d2b.data_GTTCGCTAGCTTGTTG-1", "d2b.data_GAGATGGGTCAACATC-1", "d2b.data_AGAAATGGTCAATGGG-1", "d2b.data_CATGCAATCTTTGATC-1", "d2b.data_AGACCATAGCATGATA-1", "d2b.data_GAATCGTGTGTGTTTG-1", "d2b.data_AGTGTTGTCAGCAATC-1", "d2b.data_AGTAACCTCATAGAGA-1", "d2b.data_TCCTCCCTCCACGGGT-1", "d2b.data_AGGCCACGTAGGAAAG-1", "d2b.data_GTAATCGAGAATTGTG-1", "d2b.data_AATGGCTCAATAACGA-1", "d2b.data_CAAGGGAGTGCAAGAC-1", "d2b.data_TAGAGTCAGAATGTTG-1", "d2b.data_GACCTTCAGTGCGTCC-1", "d2b.data_TCAGGTATCATGTCAG-1", "d2b.data_CGATGGCAGACGCCCT-1", "d2b.data_CCTGCATAGAAGCCTG-1", "d2b.data_GTCGTTCTCGTCCATC-1", "d2b.data_AGTAGCTGTTCCTTGC-1", "d2b.data_CATCCCATCACTGCTC-1", "d2b.data_CTCCTTTCAACTCCAA-1", "d2b.data_CGCGTGAAGTAGTCAA-1", "d2b.data_AGTACCACATGAGAAT-1", "d2b.data_AGTGCCGAGCAACAGC-1", "d2b.data_TCAAGTGAGAGTTGCG-1", "d2b.data_TCGACGGCACTAACGT-1", "d2b.data_GTTGTGACAGGAACCA-1", "d2b.data_GTAATGCGTGGCTAGA-1", "d2b.data_ATGAGGGAGGCCACTC-1", "d2b.data_GTCATGAAGTATCTGC-1", "d2b.data_CTCAAGAAGCGGTAGT-1", "d2b.data_GATTCTTTCTACGCAA-1", "d2b.data_CATTGAGCATGAAGCG-1", "d2b.data_CGGCAGTCATGACGAG-1", "d2b.data_CATCCGTCACGTAGTT-1", "d2b.data_TCGGTCTTCCCGTGAG-1", "d2b.data_TCAAGACTCAAGTCGT-1", "d2b.data_TCCTCGAGTATGTCCA-1", "d2b.data_TGCATCCAGGTACAAT-1", "d2b.data_CTGGACGCAGTGCGCT-1", "d2b.data_AGTACCAAGAGCTGAC-1", "d2b.data_CTCAGTCGTAAGATCA-1", "d2b.data_CTAGGTATCCGGACTG-1", "d2b.data_CTCAACCAGAAGCGGG-1", "d2b.data_GAACTGTTCGACCACG-1", "d2b.data_GGTCTGGCATTGAAAG-1", "d2b.data_AAACCCATCTACAGGT-1", "d2b.data_TTTATGCGTAGCGATG-1", "d2b.data_TTAGGCAGTAGGCTGA-1", "d2b.data_CGTAAGTCACTAGTAC-1", "d2b.data_TTAGGGTAGCGGCTCT-1", "d2b.data_GGGCTCAGTAGTCCTA-1", "d2b.data_GTTGAACCAGACCAGA-1", "d2b.data_CAACCAAGTCGTATTG-1", "d2b.data_GAGTTACGTAGCGTCC-1", "d2b.data_CGCATAACACGCTGTG-1", "d2b.data_AGCATCATCGGTAGAG-1", "d2b.data_GCCCAGAGTTGGTAGG-1", "d2b.data_ACCTGTCGTCATGCAT-1", "d2b.data_CCCAACTCACACAGAG-1", "d2b.data_CGCATGGCACATTACG-1", "d2b.data_TACCCACTCCAAGAGG-1", "d2b.data_TCATATCTCGAGCTGC-1", "d2b.data_ACTTCCGTCCAAAGGG-1", "d2b.data_CCTCAGTTCGGCGATC-1", "d2b.data_TCTCACGCAGACACAG-1", "d2b.data_CACGTGGCATGGATCT-1", "d2b.data_AGGGAGTAGCAACAAT-1", "d2b.data_TCCGTGTCAACATACC-1", "d2b.data_ATACCGAAGGACCCAA-1", "d2b.data_TTTGATCAGGCTTAGG-1", "d2b.data_TCACAAGTCAAAGGTA-1", "d2b.data_AACGTCACATACAGAA-1", "d2b.data_ATCGGATCAGGACATG-1", "d2b.data_TCCAGAAGTACGGGAT-1", "d2b.data_TACATTCCAAAGGAGA-1", "d2b.data_GTCACGGTCGTCCTTG-1", "d2b.data_GAGTTGTGTTTCACAG-1", "d2b.data_TGGAACTGTTGTTTGG-1", "d2b.data_TTCCGGTAGGGATGTC-1", "d2b.data_GCGTTTCGTATCGTAC-1", "d2b.data_TCCACGTGTACAGGTG-1", "d2b.data_CCGTGAGAGGACCCAA-1", "d2b.data_GTCCCATCACACCGAC-1", "d2b.data_AAAGTCCTCAGTGGGA-1", "d2b.data_TAAGCACTCACCCTGT-1", "d2b.data_AACGAAACAGAATTCC-1", "d2b.data_TTGGTTTCAACCGACC-1", "d2b.data_CCTCAGTTCAAGGACG-1", "d2b.data_GCGATCGCAACTCCAA-1", "d2b.data_ATTCCATCACGTACTA-1", "d2b.data_TGCATGAGTTTCGATG-1", "d2b.data_ACGGAAGTCCGCCTAT-1", "d2b.data_CTGCTCACACTGGAAG-1", "d2b.data_CATCGGGGTAGCACAG-1", "d2b.data_TCTACCGGTACGATGG-1", "d2b.data_CCACTTGCAGCCGGTT-1", "d2b.data_GCCAGCAGTCTTTATC-1", "d2b.data_TATCGCCCAATTCTTC-1", "d2b.data_ATTACCTTCCCGAGAC-1", "d2b.data_TACTTGTCAACGCCCA-1", "d2b.data_GTGGAAGTCTATGCCC-1", "d2b.data_TCGACCTAGTATTCCG-1", "d2b.data_GATCGTAAGTGCAAAT-1", "d2b.data_CTCAGAAGTGCCGTTG-1", "d2b.data_GCAGCCATCGGTCAGC-1", "d2b.data_GATTCTTGTAAGGTCG-1", "d2b.data_GTCATCCTCCCTCTCC-1", "d2b.data_TCGATTTTCCCGAATA-1", "d2b.data_TTCCGTGCACACAGAG-1", "d2b.data_CTGAGCGAGCGAGGAG-1", "d2b.data_ATCGTAGGTGGCCTCA-1", "d2b.data_TCATTACAGCTCTATG-1", "d2b.data_ACCAAACTCTCACCCA-1", "d2b.data_GTGACGCGTCTCTCAC-1", "d2b.data_AGCTACATCCGCACGA-1", "d2b.data_ACGGAAGGTGAGCAGT-1", "d2b.data_TGGAGAGTCGGTCTAA-1", "d2b.data_GTCTTTACAAATTAGG-1", "d2b.data_GTCGAATGTATGAAGT-1", "d2b.data_TTGCATTAGTGGATAT-1", "d2b.data_GAACTGTGTAGCTTAC-1", "d2b.data_TAGGGTTGTCCATACA-1", "d2b.data_TCCATCGGTTGCATTG-1", "d2b.data_GCACTAAAGAGAGGTA-1", "d2b.data_GTGGCGTAGAGTTGAT-1", "d2b.data_CAGATTGAGTACTGTC-1", "d2b.data_TGAGACTCATGCCGAC-1", "d2b.data_GAGTGTTTCCGGACGT-1", "d2b.data_GATCCCTCAGGATTCT-1", "d2b.data_GTCAAACGTGGCAGAT-1", "d2b.data_GCTGAATGTATGCTTG-1", "d2b.data_ACATTTCCAAATAGCA-1", "d2b.data_CAACGATTCCGCGATG-1", "d2b.data_CAATGACCAAATGCGG-1", "d2b.data_TCGGGACCAAACTCTG-1", "d2b.data_ATACCTTGTATGAAAC-1", "d2b.data_ACGTAGTGTATTTCGG-1", "d2b.data_TAAGCGTTCAGCGGAA-1", "d2b.data_GACTCAAAGTTGTAGA-1", "d2b.data_TGGGAGAAGCAATAAC-1", "d2b.data_GTTTACTGTTGTCCCT-1", "d2b.data_GGGCTCAGTAGAGTTA-1", "d2b.data_GAAGAATCACGTACTA-1", "d2b.data_CATGGATTCACTTCTA-1", "d2b.data_GGAGGTAGTCCACTTC-1", "d2b.data_CAAGAGGCATTACGGT-1", "d2b.data_AGTCATGCATGTTACG-1", "d2b.data_ATACCGAGTAGAATGT-1", "d2b.data_ACGGAAGAGGCCGCTT-1", "d2b.data_TATTGGGAGTACCCTA-1", "d2b.data_GGAACCCTCATTTGCT-1", "d2b.data_CTCATCGGTACTGGGA-1", "d2b.data_ACAGGGACATGGCTAT-1", "d2b.data_AAGCATCAGGCGAAGG-1", "d2b.data_TGAGACTGTCCGAAGA-1", "d2b.data_TCATATCTCGAGAATA-1", "d2b.data_AGAAGCGCAGGCTATT-1", "d2b.data_AAGCCATGTGCTGCAC-1", "d2b.data_GTGACGCTCAGCACCG-1", "d2b.data_GGGACAACATCGCTAA-1", "d2b.data_ACCATTTCAATCTGCA-1", "d2b.data_TGCGATACAGGACGAT-1", "d2b.data_GTGGAAGTCTTGGAAC-1", "d2b.data_CCACAAAGTTACACTG-1", "d2b.data_AACCTTTTCTCCTGAC-1", "d2b.data_TCTAACTTCTGCATAG-1", "d2b.data_CTCAGGGGTCTGTAGT-1", "d2b.data_CATACCCTCCCGTTGT-1", "d2b.data_GCTTTCGGTATCGATC-1", "d2b.data_ATTCATCTCTTGGGCG-1", "d2b.data_TTGATGGAGATGGTAT-1", "d2b.data_AACCAACCATCGAAGG-1", "d2b.data_CTCCCAAGTGATTCAC-1", "d2b.data_GGGTGAACATGGCACC-1", "d2b.data_CTCCCAACATCTTTCA-1", "d2b.data_AATCACGAGTGGTTGG-1", "d2b.data_AAAGGTAAGGGCAAGG-1", "d2b.data_AACCAACCAACGATCT-1", "d2b.data_ATAGACCTCTCACCCA-1", "d2b.data_GGTTCTCAGGAGACCT-1", "d2b.data_CAGGGCTAGTTACTCG-1", "d2b.data_GAGTTGTCAGCGTAGA-1", "d2b.data_CTGCATCGTCGATGCC-1", "d2b.data_ACATGCATCAGTGCGC-1", "d2b.data_GTGTGGCCATATTCGG-1", "d2b.data_GGAAGTGAGCTACTGT-1", "d2b.data_CCAATGACACCTAAAC-1", "d2b.data_ATTACTCCAGGCGAAT-1", "d2b.data_CTTAGGACAGTCGAGA-1", "d2b.data_AGTACTGAGCCAACCC-1", "d2b.data_CAGTGCGTCTTTGATC-1", "d2b.data_GAGCTGCAGATGCCGA-1", "d2b.data_ATCACGAGTCGAATTC-1", "d2b.data_AGATGCTAGGCGTCCT-1", "d2b.data_CGTAATGTCGAATCCA-1", "d2b.data_TCCACGTCATCGAGCC-1", "d2b.data_GTCACGGTCTCCCATG-1", "d2b.data_TCATGGATCAACACCA-1", "d2b.data_CTTACCGAGGTAAGTT-1", "d2b.data_TGTACAGCAGTTCACA-1", "d2b.data_CTCAATTCATGACGGA-1", "d2b.data_TGCTCGTTCAACTGAC-1", "d2b.data_AGTTCGAAGTATAGGT-1", "d2b.data_AATTCCTCAGAAGTGC-1", "d2b.data_AGGTCTAGTTCTCCTG-1", "d2b.data_GGAGATGGTTTCAGAC-1", "d2b.data_TGTACAGGTGACTCTA-1", "d2b.data_TGCGACGTCAGGAAAT-1", "d2b.data_TCATTCAGTGCGGTAA-1", "d2b.data_GCCATGGAGCTACTGT-1", "d2b.data_ATCGCCTGTGGCTTGC-1", "d2b.data_TACAACGTCGTTCTCG-1", "d2b.data_ATCGATGAGAAACTAC-1", "d2b.data_ATTATCCCATGTCTAG-1", "d2b.data_GCATCTCAGCCTTCTC-1", "d2b.data_TTTCCTCGTGGCCCAT-1", "d2b.data_GTGAGTTGTGCAACAG-1", "d2b.data_CCCATTGGTAGCTGCC-1", "d2b.data_CCTAACCGTTAGGAGC-1", "d2b.data_GATTCTTCAGTCGTTA-1", "d2b.data_TTTACGTCAGACCTGC-1", "d2b.data_AGAGCCCGTTGACTAC-1", "d2b.data_AAGCGTTAGTAGAATC-1", "d2b.data_GACTCAAGTGTCACAT-1", "d2b.data_GCGTTTCTCAATCTTC-1", "d2b.data_CAGTGCGAGAGTGGCT-1", "d2b.data_CGTGAATGTACAACGG-1", "d2b.data_AGTCTCCGTTTGGAAA-1", "d2b.data_GAATAGACACTAGTAC-1", "d2b.data_AGCTACAAGGCCTAGA-1", "d2b.data_AGGTCATGTCTTACTT-1", "d2b.data_AACGAAAGTCTTGCTC-1", "d2b.data_GCCAGGTCACTAGAGG-1", "d2b.data_CCTATCGTCATGCCGG-1", "d2b.data_CCCGAAGTCCGCTAGG-1", "d2b.data_GGGTTTACACTAAACC-1", "d2b.data_CGTCCATAGCATCTTG-1", "d2b.data_ACGTAACGTGCCCAGT-1", "d2b.data_ACATCCCAGAGTCACG-1", "d2b.data_AACCAACCAGCTTCGG-1", "d2b.data_CTCATCGTCTCCAAGA-1", "d2b.data_CCTCCAAGTGATCATC-1", "d2b.data_GTCGTAAGTCGCGGTT-1", "d2b.data_AATAGAGTCATTCGTT-1", "d2b.data_GTGAGCCTCACCGGGT-1", "d2b.data_TAATCTCTCATAAGGA-1", "d2b.data_AACGGGAGTTCACCGG-1", "d2b.data_GAAGGGTAGTGGATTA-1", "d2b.data_ATGACCACAAGAGCTG-1", "d2b.data_TGAGACTAGAGTTGAT-1", "d2b.data_AGACCATGTCGACTGC-1", "d2b.data_TAAGTCGGTGCATACT-1", "d2b.data_AGCTCAACAAAGGCTG-1", "d2b.data_CCTTGTGAGTGCACTT-1", "d2b.data_GTACAACTCGTGGGAA-1", "d2b.data_TTCACCGAGCCTGAGA-1", "d2b.data_AAGTTCGAGCTGAAGC-1", "d2b.data_TGAGACTCACTTGGCG-1", "d2b.data_ACGGTTAGTGCTCTTC-1", "d2b.data_TAGCACAGTTTGGAGG-1", "d2b.data_GCTTGGGCAGAATTCC-1", "d2b.data_ATGGATCTCAGAGTGG-1", "d2b.data_TTCCGTGCAATCTCTT-1", "d2b.data_TCGAACATCTTCTGTA-1", "d2b.data_GCACGTGTCTTCTCAA-1", "d2b.data_TTACGCCAGCTCGACC-1", "d2b.data_ACTTTCAGTAAGATCA-1", "d2b.data_CTCAGTCTCGCTCCTA-1", "d2b.data_TCTGTCGTCAAGTCGT-1", "d2b.data_GCCAGGTTCGAGCCAC-1", "d2b.data_GTGGCGTTCGAGATAA-1", "d2b.data_GCACGGTTCATCTATC-1", "d2b.data_AAGGTAATCGAAGCCC-1", "d2b.data_AAGTACCAGTTAGAAC-1", "d2b.data_GCCGATGAGTGACACG-1", "d2b.data_GGGTTATTCTGTCGTC-1", "d2b.data_ATGATCGTCTGGTTGA-1", "d2b.data_CAGCGTGTCGATTGGT-1", "d2b.data_GATCATGGTCTACTGA-1", "d2b.data_TCGCTTGAGTTGCTCA-1", "d2b.data_CAAGAGGTCTATTCGT-1", "d2b.data_AAACGAAAGCGCTGAA-1", "d2b.data_TCCGAAATCTAATTCC-1", "d2b.data_TGAGGAGTCCAGGACC-1", "d2b.data_AATCGACAGGTGCTAG-1", "d2b.data_TGTCAGACATGCCATA-1", "d2b.data_AAGACTCGTCTGCAAT-1", "d2b.data_ACGATCATCTGCTTTA-1", "d2b.data_ACTTATCGTATTGCCA-1", "d2b.data_CTAGACAAGTAAGACT-1", "d2b.data_TGTAACGTCTTCGTAT-1", "d2b.data_TTCTAACTCGCCAATA-1", "d2b.data_ATCCTATCAAACGAGC-1", "d2b.data_AGGGAGTTCCACGTGG-1", "d2b.data_GACTATGTCCAGTGCG-1", "d2b.data_AATCGTGTCCATGATG-1", "d2b.data_CCCTTAGAGGAAAGAC-1", "d2b.data_GCTACCTTCATGCTAG-1", "d2b.data_ATCCACCAGTCAACAA-1", "d2b.data_AGGATCTTCGGCTTGG-1", "d2b.data_ATCACAGTCTTCTCAA-1", "d2b.data_TGCGGCACACGACTAT-1", "d2b.data_TTAGGGTGTAGATTAG-1", "d2b.data_CGGGTCAGTATTTCCT-1", "d2b.data_GGGAGTATCCTTCTGG-1", "d2b.data_CCTTTGGAGGAGATAG-1", "d2b.data_CGAAGTTCATGATGCT-1", "d2b.data_GTAACACCAACCACAT-1", "d2b.data_ACTACGACATTGTAGC-1", "d2b.data_AGGCCACTCGTCTAAG-1", "d2b.data_TAATTCCTCCACGTGG-1", "d2b.data_TACAACGTCGGAAGGT-1", "d2b.data_ATTCGTTCATCTTAGG-1", "d2b.data_TTCCTTCCACGTAACT-1", "d2b.data_TTTAGTCGTTGCCGCA-1", "d2b.data_CAATGACAGCCGATCC-1", "d2b.data_TGTTCATAGCACTTTG-1", "d2b.data_CACAGATAGTGAGTGC-1", "d2b.data_GGATCTAGTTCAGCGC-1", "d2b.data_CAAGACTCAGGAGGTT-1", "d2b.data_GGGTTTAAGGCATCTT-1", "d2b.data_CAGCAGCTCATCAGTG-1", "d2b.data_TTCGCTGCAGCTAACT-1", "d2b.data_AAAGGGCTCGAACACT-1", "d2b.data_ATCATTCTCTAACGCA-1", "d2b.data_CCGTTCACAATGCTCA-1", "d2b.data_TCCACGTTCTGTGCAA-1", "d2b.data_AGGGTTTCAGGGAATC-1", "d2b.data_GGCTGTGCAATCAGCT-1", "d2b.data_ACGTCCTGTTAAACAG-1", "d2b.data_ATCAGGTTCCAAATGC-1", "d2b.data_CAGGGCTGTTGGGATG-1", "d2b.data_ATAGGCTGTGAGTTGG-1", "d2b.data_GATAGCTAGCATTGAA-1", "d2b.data_AGACAGGAGGTTAGTA-1", "d2b.data_ATTACTCAGGATTCCT-1", "d2b.data_CTCCGATCAGAAGTTA-1", "d2b.data_TAACACGTCCATGATG-1", "d2b.data_GAAGGGTGTAACTAAG-1", "d2b.data_GGGTGTCCAATCGCCG-1", "d2b.data_CTCATTAAGGACTGGT-1", "d2b.data_GACTCAAAGGAGTATT-1", "d2b.data_AGGTGTTCACATATCG-1", "d2b.data_ACTCCCACATCCGCGA-1", "d2b.data_CTAACCCAGTCAAGCG-1", "d2b.data_AGAGAGCTCTTGGAAC-1", "d2b.data_TCCGTGTGTATCGCGC-1", "d2b.data_CATCCCACATTCTTCA-1", "d2b.data_ACGTACATCCCGTGTT-1", "d2b.data_AAAGGATGTCTTCGAA-1", "d2b.data_CGTGTCTTCTTACGTT-1", "d2b.data_GGTTGTAAGCACTAGG-1", "d2b.data_AGGATCTAGGGCAGAG-1", "d2b.data_ACTTTGTAGAAACACT-1", "d2b.data_GACCCAGGTGTTACTG-1", "d2b.data_TTGATGGAGGTCACCC-1", "d2b.data_TTTGATCCACAAGCCC-1", "d2b.data_TGATCAGTCTCTATGT-1", "d2b.data_GTTAGACTCTTAGTTC-1", "d2b.data_AGATAGAAGTGTACAA-1", "d2b.data_TTCATTGCAGCTGGTC-1", "d2b.data_GGAGGATGTAGGTTTC-1", "d2b.data_GTTGAACGTTCTCTCG-1", "d2b.data_GAGATGGGTGAGCCAA-1", "d2b.data_ATGACCACAACAACAA-1", "d2b.data_TGACTCCTCACACCGG-1", "d2b.data_ATGGGTTAGAAACCCG-1", "d2b.data_GGGTCACGTCACCACG-1", "d2b.data_ACAAGCTGTTGTTTGG-1", "d2b.data_CTGTGGGCATCCGAGC-1", "d2b.data_TCCCACACAGGTGTTT-1", "d2b.data_GTATTTCTCTTGGAAC-1", "d2b.data_GTCTACCGTTCGGTTA-1", "d2b.data_AAGGTAACACGATAGG-1", "d2b.data_AAAGGGCGTGTCTTCC-1", "d2b.data_GTCACTCGTATAATGG-1", "d2b.data_AAGACTCCAGTTGAAA-1", "d2b.data_GTCACGGCAATACAGA-1", "d2b.data_AGGACTTTCTGTCGCT-1", "d2b.data_TTTCAGTTCGTACCTC-1", "d2b.data_ACGTCCTGTGCCCGTA-1", "d2b.data_TTCCAATAGATACTGA-1", "d2b.data_ATCCCTGTCTTCCGTG-1", "d2b.data_TTCTTGAGTCATACCA-1", "d2b.data_CTCTGGTAGTGCCGAA-1", "d2b.data_AGGTTACTCAGACATC-1", "d2b.data_TCTTTGAAGTCGGGAT-1", "d2b.data_TTGGGCGCATTAGGAA-1", "d2b.data_ACGTCCTGTCCCGCAA-1", "d2b.data_GCTACAATCACTGTCC-1", "d2b.data_CCACACTCATGAATCC-1", "d2b.data_CTTCCGATCAAGCCTA-1", "d2b.data_TTAATCCAGTTGGCGA-1", "d2b.data_GGGCCATTCCCACAGG-1", "d2b.data_GGGCGTTTCGAAGCAG-1", "d2b.data_GCATCTCCATACCATG-1", "d2b.data_TCAAGACTCAGTGTTG-1", "d2b.data_CGAGTGCAGTTCGGTT-1", "d2b.data_AGCTACATCCAGGACC-1", "d2b.data_CCCAACTCAGGCGATA-1", "d2b.data_TGCGGCAAGCCTCTGG-1", "d2b.data_AAGTCGTGTGTGATGG-1", "d2b.data_TGACCCTGTGAGTAGC-1", "d2b.data_ACAGGGACAACGCCCA-1", "d2b.data_ACCAACAAGGATACCG-1", "d2b.data_TCCACGTCATTGACTG-1", "d2b.data_CCTGTTGGTGGGTCAA-1", "d2b.data_TCGTAGAGTTATGGTC-1", "d2b.data_ATATCCTGTGGCTACC-1", "d2b.data_AGATCGTAGTCACTAC-1", "d2b.data_GTGACGCGTCTGGTTA-1", "d2b.data_CGTTAGAAGCACCGAA-1", "d2b.data_CAGCGTGAGACGGTTG-1", "d2b.data_TCGATTTCAGTTGTTG-1", "d2b.data_GTTGCGGCAAATGGAT-1", "d2b.data_TGGCGTGCAGACGATG-1", "d2b.data_CGAATTGTCCCTCTCC-1", "d2b.data_TTGGTTTTCCTATTGT-1", "d2b.data_GGCAGTCGTTCCCACT-1", "d2b.data_AGCTACACATGGCGCT-1", "d2b.data_CAGGTATAGGATACGC-1", "d2b.data_GGTAATCTCACCTCGT-1", "d2b.data_AGAAGTACAATTTCCT-1", "d2b.data_GGGTAGAAGCATTGAA-1", "d2b.data_ATGAAAGAGAAACTAC-1", "d2b.data_AACCAACCAATTGAGA-1", "d2b.data_AACAACCAGTCAGAGC-1", "d2b.data_AGAAGTATCGCAGTGC-1", "d2b.data_AGTTCGATCTCTAAGG-1", "d2b.data_CTCCGATTCGTTCAGA-1", "d2b.data_ATTATCCTCTAGTCAG-1", "d2b.data_ATCCCTGAGTGAGGTC-1", "d2b.data_AATGGCTTCAAGCTTG-1", "d2b.data_TATCTGTGTATTGACC-1", "d2b.data_TCGGTCTAGCGAACTG-1", "d2b.data_TAGACTGAGCCTATTG-1", "d2b.data_ATCACAGTCTCTGACC-1", "d2b.data_TGGATCAGTTGGATCT-1", "d2b.data_ATGGGAGCATGGTGGA-1", "d2b.data_TGACCCTGTGCCTAAT-1", "d2b.data_TCAGCCTCATATGAAG-1", "d2b.data_GGGCGTTCATCATTTC-1", "d2b.data_AGTTCGATCGGCAGTC-1", "d2b.data_GAATCGTGTTTCGGCG-1", "d2b.data_AGATCCATCTAGACCA-1", "d2b.data_TCATATCAGTCGCTAT-1", "d2b.data_GTAACACCACCGCTGA-1", "d2b.data_CATACTTCACTAGGTT-1", "d2b.data_TGATGCAAGGTCGTGA-1", "d2b.data_TACCCACGTAGGTAGC-1", "d2b.data_GTGAGTTGTAGTCGTT-1", "d2b.data_CCTCAACCAGATCACT-1", "d2b.data_GAGTCATGTCAAAGAT-1", "d2b.data_TTACGCCCAAGGTCGA-1", "d2b.data_CAGCAATTCGTGCACG-1", "d2b.data_GGTGGCTGTATTGGCT-1", "d2b.data_AGCTCAAAGACAGTCG-1", "d2b.data_GCCAACGTCATCGCTC-1", "d2b.data_TGCTGAAGTGACTAAA-1", "d2b.data_GGTCTGGTCAGTGATC-1", "d2b.data_AACCACAGTCGTCATA-1", "d2b.data_AGGACTTAGCCTAGGA-1", "d2b.data_TGTGTGAAGTGCGTCC-1", "d2b.data_TTCTCTCGTATCACCA-1", "d2b.data_CTGCTCATCACTTATC-1", "d2b.data_CCATCACAGCATCAAA-1", "d2b.data_CGTAAGTGTCATACCA-1", "d2b.data_ACGTAACCACTCCTGT-1", "d2b.data_TTGTTTGAGCACTCAT-1", "d2b.data_AGCGATTCAGACGGAT-1", "d2b.data_ACGATGTCAGGGCTTC-1", "d2b.data_CCTGTTGGTATTAAGG-1", "d2b.data_GAACACTTCTGGTCAA-1", "d2b.data_TGGGCGTTCCAATCTT-1", "d2b.data_TCACTATTCTCAAAGC-1", "d2b.data_TCGATTTGTTACGATC-1", "d2b.data_TGTTGAGAGACGTCGA-1", "d2b.data_TGGGCGTCAGGGATAC-1", "d2b.data_GTGTCCTGTGATTCTG-1", "d2b.data_TCTACCGCACTGGCCA-1", "d2b.data_CATGAGTTCGCAATGT-1", "d2b.data_GTCGAATGTCATAACC-1", "d2b.data_AGAAATGAGAGGTTAT-1", "d2b.data_CAGCACGGTGGATACG-1", "d2b.data_ATGGAGGTCGCTTTAT-1", "d2b.data_TTACGTTCAACTGCTA-1", "d2b.data_AAGCATCGTCGCACGT-1", "d2b.data_GGAACCCAGTCGAAGC-1", "d2b.data_CGGACACAGGATTCCT-1", "d2b.data_ATAGAGAGTATCTCTT-1", "d2b.data_ACCTACCGTCCCTCAT-1", "d2b.data_CTTACCGCAAGTGCAG-1", "d2b.data_GATTCGAGTCGTTCAA-1", "d2b.data_AGACAGGAGCTCGCAC-1", "d2b.data_GTTACAGTCGAAGGAC-1", "d2b.data_ATTCACTAGAGGTTAT-1", "d2b.data_GCGTGCACAATCTGCA-1", "d2b.data_CCGAACGCATCTATCT-1", "d2b.data_TACGGGCTCGGAATTC-1", "d2b.data_TCAATTCAGAGCCTGA-1", "d2b.data_AGGAATAGTCAGGTAG-1", "d2b.data_GCCCAGATCCGAAATC-1", "d2b.data_GTAGAAACATACAGCT-1", "d2b.data_GCCATGGAGTGCTAGG-1", "d2b.data_TCTCCGAAGCACTCAT-1", "d2b.data_GATCATGCAGTTTCAG-1", "d2b.data_GCCCGAATCGAGTACT-1", "d2b.data_TGAATGCCACACCAGC-1", "d2b.data_TTCATTGCACTTCTCG-1", "d2b.data_ACAACCAGTATCGAGG-1", "d2b.data_CGCCAGACAAAGACGC-1", "d2b.data_TGCTGAAAGACAACTA-1", "d2b.data_GTCTTTAAGGGCAGTT-1", "d2b.data_CGATGGCGTAGCCAGA-1", "d2b.data_ACTCCCAAGCATGCAG-1", "d2b.data_CCAAGCGAGCCTCGTG-1", "d2b.data_TACGCTCTCTTAGTTC-1", "d2b.data_TCATGTTTCTACGCAA-1", "d2b.data_AACCTTTTCTCATGGA-1", "d2b.data_ACGTAGTCACGGCGTT-1", "d2b.data_TTGAGTGCACACCTAA-1", "d2b.data_AGCTTCCGTTGGTAGG-1", "d2b.data_CATTCATTCGGTCACG-1", "d2b.data_TGTGATGGTAGCTGCC-1", "d2b.data_TCACGCTGTTATGGTC-1", "d2b.data_GGGTTTAAGATAGCAT-1", "d2b.data_GGAAGTGGTGACTCGC-1", "d2b.data_GTAGGTTGTCACCCTT-1", "d2b.data_AATCGTGCACACGGTC-1", "d2b.data_AGCGATTTCATTCCTA-1", "d2b.data_CAGTTCCGTTGTTGTG-1", "d2b.data_AATGCCACAACGGCTC-1", "d2b.data_GGGCTCACACGATTCA-1", "d2b.data_CATACAGAGAGTCAAT-1", "d2b.data_CTGGCAGAGGCCCGTT-1", "d2b.data_AACAGGGAGAATAGTC-1", "d2b.data_AACAAAGCAAAGAACT-1", "d2b.data_AGACCCGCACCCTTGT-1", "d2b.data_AGGTCTACAGCGACAA-1", "d2b.data_ACACGCGCAGACTGCC-1", "d2b.data_CACAACAGTAAGGAGA-1", "d2b.data_CATCCACCAATGTCTG-1", "d2b.data_TGGATGTGTCGCATTA-1", "d2b.data_GTCTGTCCACGAGAAC-1", "d2b.data_GGAGAACTCAACTGAC-1", "d2b.data_CCTCCAAGTCTAACGT-1", "d2b.data_CTCATGCGTGGATGAC-1", "d2b.data_CATGGTAAGGAGAGTA-1", "d2b.data_TTGTGGACACGGCGTT-1", "d2b.data_GCTGCAGTCAGACCGC-1", "d2b.data_GGGAGTACAACGACTT-1", "d2b.data_ATGCCTCAGGGCAGAG-1", "d2b.data_GTAGTACAGATGTTAG-1", "d2b.data_AGATGAAGTCACTCAA-1", "d2b.data_GGGAGATCAAGCGAGT-1", "d2b.data_ATTCAGGCATCACCAA-1", "d2b.data_CGGAGAATCCATACTT-1", "d2b.data_CATTGTTGTCTTGGTA-1", "d2b.data_ACGGGTCAGTGGGAAA-1", "d2b.data_TCCGGGAGTGAGTAAT-1", "d2b.data_CATGGATGTCGGCACT-1", "d2b.data_CTCAGAAGTGTCTAAC-1", "d2b.data_GTGACGCAGACCAAGC-1", "d2b.data_CCGAACGTCCGAAGGA-1", "d2b.data_TGCTTGCTCGCTAATG-1", "d2b.data_TGGAGAGCATGGATCT-1", "d2b.data_CACTAAGTCCAAGCAT-1", "d2b.data_GACCGTGTCCAAGCAT-1", "d2b.data_GATGACTGTAGCACGA-1", "d2b.data_GAGGCAATCTAGGCCG-1", "d2b.data_TCCCACATCAAAGGTA-1", "d2b.data_TCATTGTTCTTACACT-1", "d2b.data_AGCTACAAGTACAACA-1", "d2b.data_TCGAACACAGGTTCAT-1", "d2b.data_ACTATCTTCGCTAGCG-1", "d2b.data_TTTATGCCAACAGCCC-1", "d2b.data_AGGTTGTAGGCCCACT-1", "d2b.data_TTCACCGCAATAGGGC-1", "d2b.data_ACGTCCTAGTAACGTA-1", "d2b.data_CATCGCTCACGCTGCA-1", "d2b.data_CTCCACACAAATTGGA-1", "d2b.data_TTATTGCCACTCCGGA-1", "d2b.data_TTTGATCGTGGCTTGC-1", "d2b.data_ACCTACCCAATACGAA-1", "d2b.data_TGAGTCACAATCCTTT-1", "d2b.data_GTGTAACAGTATGGAT-1", "d2b.data_GATAGCTCAGCAGATG-1", "d2b.data_TGCTTGCTCTCGGTAA-1", "d2b.data_TGTTACTGTTAAGACA-1", "d2b.data_GATCACAAGTCATTGC-1", "d2b.data_TGTGTGACATTACGGT-1", "d2b.data_CTTTCGGGTGATACAA-1", "d2b.data_TTTATGCCAGCCATTA-1", "d2b.data_CTACCCAGTTTCCATT-1", "d2b.data_ACTACGATCCACAGCG-1", "d2b.data_AAGTCGTAGTTGCGCC-1", "d2b.data_CCGGACAGTATGAGAT-1", "d2b.data_CTACATTCACATGACT-1", "d2b.data_ATCGCCTTCGATTTCT-1", "d2b.data_GTCGTAAGTCTAATCG-1", "d2b.data_GCGTTTCAGCACGGAT-1", "d2b.data_GCACATACAGCTACCG-1", "d2b.data_CCTTGTGGTACCTAAC-1", "d2b.data_CAGCAATTCATTTGGG-1", "d2b.data_GCATCTCGTGGGCTCT-1", "d2b.data_CCTTGTGAGGAAAGGT-1", "d2b.data_CCTAAGAGTCCGTACG-1", "d2b.data_TCTAACTAGACTCGAG-1", "d2b.data_AGTAGCTGTTGAAGTA-1", "d2b.data_ATCGGCGCACGACGTC-1", "d2b.data_ACCTGAAGTGGTAACG-1", "d2b.data_CACTGGGCATCCGAAT-1", "d2b.data_AAAGGGCAGGAGGTTC-1", "d2b.data_TGTCCTGGTCAACCAT-1", "d2b.data_GGGCCATGTCATCAGT-1", "d2b.data_TTGTTCAGTCAGTCTA-1", "d2b.data_GGCTTTCGTAGATTAG-1", "d2b.data_CTGAGCGCAACAGCCC-1", "d2b.data_CAGGCCATCCCGAATA-1", "d2b.data_TTAGTCTGTCCAAATC-1", "d2b.data_CCTCTAGAGTCACGCC-1", "d2b.data_GAGTGAGGTGTCCGGT-1", "d2b.data_TCAAGCATCATGGCCG-1", "d2b.data_GCAGTTACACCTCTGT-1", "d2b.data_TGAACGTCAAAGCTCT-1", "d2b.data_ACCAACACAGTTAAAG-1", "d2b.data_TACAACGGTGTCTTAG-1", "d2b.data_GGGTGAACATCCTTCG-1", "d2b.data_GTAATCGCATGGAGAC-1", "d2b.data_CTCATTATCCAAGCTA-1", "d2b.data_AACCTGATCCGGACTG-1", "d2b.data_TTGTTCAAGATAACAC-1", "d2b.data_ATTATCCCACTCCGAG-1", "d2b.data_TCCGAAATCACCGGGT-1", "d2b.data_GATGAGGCATGACACT-1", "d2b.data_TCAGTGATCTATACTC-1", "d2b.data_GACTGATGTTAGGAGC-1", "d2b.data_TCCCACATCTCACGAA-1", "d2b.data_TCATGCCCATTAAAGG-1", "d2b.data_TTTACCAGTGAATAAC-1", "d2b.data_GATGAGGTCGTTCAGA-1", "d2b.data_CAGGTATCATTCTTCA-1", "d2b.data_CAATTTCGTCGAATGG-1", "d2b.data_GTGATGTAGGTAATCA-1", "d2b.data_CGTCCATTCCCGAGTG-1", "d2b.data_AGGGAGTCATGCAGGA-1", "d2b.data_AGGGTCCCAATAACCC-1", "d2b.data_TCAAGACGTATTGGCT-1", "d2b.data_GCAACATTCGTGCGAC-1", "d2b.data_CTTCAATGTTATGACC-1", "d2b.data_AAGTTCGGTTGTATGC-1", "d2b.data_GGAGATGAGTACCATC-1", "d2b.data_GAGGCAATCCGAGTGC-1", "d2b.data_TGCAGTACACCTATCC-1", "d2b.data_CCACCATAGAATCGCG-1", "d2b.data_TGTCCCATCCACGAAT-1", "d2b.data_TCACATTCAGGTCCCA-1", "d2b.data_CAACCTCGTAGATCGG-1", "d2b.data_CCTCCTCCACTGCTTC-1", "d2b.data_TCTCAGCCACAATGTC-1", "d2b.data_CTATCTACAAATAAGC-1", "d2b.data_CTCTCAGTCGCCGAAC-1", "d2b.data_CTCGAGGGTACCTATG-1", "d2b.data_TCATTTGGTGTCTCCT-1", "d2b.data_AGGTTGTTCACTGATG-1", "d2b.data_GAAGAATAGTGGCAGT-1", "d2b.data_AAGTACCCATCCAACA-1", "d2b.data_CATCGGGGTCCCGGTA-1", "d2b.data_ATTCGTTCATGAGAAT-1", "d2b.data_TTGCATTAGCGTCAGA-1", "d2b.data_GCCAGGTGTCGAAACG-1", "d2b.data_AGACAAAAGATACCAA-1", "d2b.data_TAACACGTCTTTCCAA-1", "d2b.data_CGTGATAAGATACCAA-1", "d2b.data_CTCACTGGTACGGTTT-1", "d2b.data_TATACCTGTCGTACAT-1", "d2b.data_TTGCTGCAGCTACGTT-1", "d2b.data_GCTTTCGCAATACCTG-1", "d2b.data_GTGGAAGGTCGACGCT-1", "d2b.data_TGTTGAGAGGAAGTAG-1", "d2b.data_TGCGGCACAACACGTT-1", "d2b.data_AAAGGGCCATACATCG-1", "d2b.data_TTATTGCGTTCAAACC-1", "d2b.data_GAGGGTACACATAACC-1", "d2b.data_CATGGATGTAGATTGA-1", "d2b.data_CACAGATGTCGCATCG-1", "d2b.data_GCCTGTTGTAGACAAT-1", "d2b.data_CTAACCCCAAGAGATT-1", "d2b.data_TTCATGTGTGTCATCA-1", "d2b.data_CTCCATGTCACCCATC-1", "d2b.data_TTTGATCGTCAACCAT-1", "d2b.data_GTTGAACCAATGGCAG-1", "d2b.data_ACAACCAGTTTCCCAC-1", "d2b.data_AGGGAGTCACGGGTAA-1", "d2b.data_GCTTCACAGCGACATG-1", "d2b.data_GGGCCATTCCGAGATT-1", "d2b.data_TTCCAATTCGCCAATA-1", "d2b.data_TCATACTTCATGCCAA-1", "d2b.data_TCTCACGCAAGGTACG-1", "d2b.data_TTCCTTCAGTAAGAGG-1", "d2b.data_TGATGCAAGGCCACTC-1", "d2b.data_CCGGACATCGCTAATG-1", "d2b.data_GGTCTGGCATCTAACG-1", "d2b.data_TTTGGAGGTGGTCCCA-1", "d2b.data_CCTACGTAGACAGCTG-1", "d2b.data_GAGACCCGTCGTTGGC-1", "d2b.data_GTAGGAGCAGTCGAGA-1", "d2b.data_AGTGATCAGCATTTCG-1", "d2b.data_CTTACCGCACTCATAG-1", "d2b.data_TAAGTCGCATATTCGG-1", "d2b.data_TGACGCGCATTACGGT-1", "d2b.data_AACCATGAGTGGATTA-1", "d2b.data_CCTAACCAGGCCTAGA-1", "d2b.data_ATCATTCAGGTAATCA-1", "d2b.data_GACACGCTCCATAGGT-1", "d2b.data_ATCCATTGTATCGGTT-1", "d2b.data_CTCATTAAGAAACCCG-1", "d2b.data_TCATTACGTAGTCCTA-1", "d2b.data_GAACGTTCACCCTAGG-1", "d2b.data_AGGTTACGTGCCCAGT-1", "d2b.data_ACCACAACACTTGACA-1", "d2b.data_GGGTGAATCAGCGTCG-1", "d2b.data_ACACGCGGTAACTTCG-1", "d2b.data_AGGCCACGTACGTGTT-1", "d2b.data_ACGGGTCGTACGCTTA-1", "d2b.data_CACCGTTAGCGACTTT-1", "d2b.data_TGATGGTGTACTCAAC-1", "d2b.data_ACGGGTCGTCCAGCGT-1", "d2b.data_ATCCCTGGTGGTCCGT-1", "d2b.data_CGCAGGTAGACCATGG-1", "d2b.data_ATGCCTCGTTTACCTT-1", "d2b.data_AGGCCACTCGGCTGTG-1", "d2b.data_TCAGCAAGTCGCAACC-1", "d2b.data_AGTACCAAGCCTCTTC-1", "d2b.data_AGGTCATCACGGATCC-1", "d2b.data_CATTGAGGTGGTCCGT-1", "d2b.data_CCTCAACTCAAGGCTT-1", "d2b.data_CAGCAATCAACTTGCA-1", "d2b.data_TCTTAGTGTCTCTCCA-1", "d2b.data_GCCATTCCATGTGGTT-1", "d2b.data_TCATCATGTCCAGCCA-1", "d2b.data_TTCGATTTCGAACGGA-1", "d2b.data_CTTCTCTTCGTCTACC-1", "d2b.data_TTTCGATAGTTGGCGA-1", "d2b.data_TGAGACTTCGAGCTGC-1", "d2b.data_GAGATGGGTGTATACC-1", "d2b.data_CTAACCCAGTGTTCCA-1", "d2b.data_ATCCCTGGTCACTCAA-1", "d2b.data_AATGCCAAGAATCGAT-1", "d2b.data_CGTAATGAGTATGTAG-1", "d2b.data_GTGCTGGGTATGTGTC-1", "d2b.data_AGGATAATCAAGGACG-1", "d2b.data_CCGTTCATCTTCACGC-1", "d2b.data_TGATCAGGTCATCGCG-1", "d2b.data_TCATTGTCAAATCAGA-1", "d2b.data_CTCCTTTAGAAATGGG-1", "d2b.data_TCTGTCGAGCATTTCG-1", "d2b.data_CGAGGAAGTAAGACCG-1", "d2b.data_TTGAGTGTCGAGCCTG-1", "d2b.data_TCAAGTGAGTTTGAGA-1", "d2b.data_TACTTCATCTGGAAGG-1", "d2b.data_CATCCACAGCTCACTA-1", "d2b.data_TGGATCAGTTACGATC-1", "d2b.data_AGACAAATCCGAGAAG-1", "d2b.data_TTAGGGTCAGACGATG-1", "d2b.data_TCAATCTGTCCCGCAA-1", "d2b.data_CAGAGCCTCACTGCTC-1", "d2b.data_ACGTCCTTCTTCTGGC-1", "d2b.data_CACGAATGTGGCGTAA-1", "d2b.data_GCTGGGTGTCTTCATT-1", "d2b.data_TACCCACCAAGTGTCT-1", "d2b.data_AGTCAACAGCCGAACA-1", "d2b.data_CGGTCAGGTGGTCCCA-1", "d2b.data_AGACAGGTCACCTCGT-1", "d2b.data_GTAGATCGTCTCACAA-1", "d2b.data_CCAATTTGTGAACCGA-1", "d2b.data_TGCACGGCAATACAGA-1", "d2b.data_TTGCATTCATATCGGT-1", "d2b.data_TTACGCCCATAACAGA-1", "d2b.data_CATCAAGCATTGCCTC-1", "d2b.data_TGCAGGCTCCATTTAC-1", "d2b.data_CAGCCAGAGTGCAAAT-1", "d2b.data_CTCCTTTCACGCTATA-1", "d2b.data_GTCTTTAGTTCGAACT-1", "d2b.data_CCTCAGTTCCATCGTC-1", "d2b.data_ATCGCCTTCATTTGTC-1", "d2b.data_TCCATCGGTCTGTTAG-1", "d2b.data_GTGTTAGGTACTCGAT-1", "d2b.data_GGTGTCGAGCCTCTCT-1", "d2b.data_TCTACCGTCCGCATAA-1", "d2b.data_ACCATTTAGCCATGCC-1", "d2b.data_ATAGAGACAATGTCAC-1", "d2b.data_AACCCAACATGACGTT-1", "d2b.data_GCTGAATGTAGCACAG-1", "d2b.data_GCTGAATCACCATATG-1", "d2b.data_TCTGCCAAGTGGTTAA-1", "d2b.data_AGTGACTGTTGCGTAT-1", "d2b.data_GTAACCACAATATCCG-1", "d2b.data_TATGTTCCATCAGCTA-1", "d2b.data_GCTACCTGTATGGTTC-1", "d2b.data_CAATGACAGTGAGTTA-1", "d2b.data_CACAACATCAGCGGAA-1", "d2b.data_TTTGTTGCAACAGCTT-1", "d2b.data_ATCACTTGTCTTGCGG-1", "d2b.data_CCACCATAGGACCCAA-1", "d2b.data_CACGTGGGTTAGAAAC-1", "d2b.data_CGTTGGGCACTCTCGT-1", "d2b.data_TACCTCGGTTCCGGTG-1", "d2b.data_AATGACCAGCAGTACG-1", "d2b.data_CCTCAACCACCAGACC-1", "d2b.data_CTATCCGCAGACACAG-1", "d2b.data_AATGGAACAGTGAGCA-1", "d2b.data_CCCTCAACACGACTAT-1", "d2b.data_TTACAGGGTTTGCCGG-1", "d2b.data_CGATGCGTCCCGAGAC-1", "d2b.data_TTAGGGTGTTCGGCTG-1", "d2b.data_GGTGATTAGCACCTGC-1", "d2b.data_CCCATTGGTAGTCACT-1", "d2b.data_GTATTGGGTATTGGCT-1", "d2b.data_AAGCATCAGGGATCAC-1", "d2b.data_GGTAACTTCCTACAAG-1", "d2b.data_AGGACTTAGTTGGACG-1", "d2b.data_CCACGAGAGTCGCGAA-1", "d2b.data_GTGTAACCAGCCGGTT-1", "d2b.data_TCCTCCCCACATATGC-1", "d2b.data_AACGAAATCCGTATGA-1", "d2b.data_CTCTCAGTCTGCTGAA-1", "d2b.data_GTAGCTATCACTGAAC-1", "d2b.data_TGATGCAGTTCCGCGA-1", "d2b.data_CACTGTCTCCCGAACG-1", "d2b.data_AGGTCATGTGGCTGAA-1", "d2b.data_CACTAAGAGCACCTGC-1", "d2b.data_GGGAAGTCACTGTGAT-1", "d2b.data_CGACAGCAGGATTACA-1", "d2b.data_AATGACCTCAGATTGC-1", "d2b.data_ACCTGTCCAGGCCCTA-1", "d2b.data_CAAAGAATCTCACTCG-1", "d2b.data_TTGTGTTTCAGTGTTG-1", "d2b.data_TCCTGCAAGATGCTAA-1", "d2b.data_CATTCATCAATTGAGA-1", "d2b.data_GATCCCTTCTGCCCTA-1", "d2b.data_CCGCAAGGTTCAAGGG-1", "d2b.data_CCTCCTCGTGTCATGT-1", "d2b.data_CATTGTTTCGCTCCTA-1", "d2b.data_AGCCACGGTTGGGAAC-1", "d2b.data_AGGGCTCTCGTCTCAC-1", "d2b.data_CTATAGGGTTCTGACA-1", "d2b.data_GTCGTAAAGTCGTTAC-1", "d2b.data_CGCATGGGTCCACATA-1", "d2b.data_TCGACCTAGCAACTCT-1", "d2b.data_GAACGTTAGTTTCGAC-1", "d2b.data_TTTAGTCAGGCTGAAC-1", "d2b.data_ATTACCTAGTCTGGTT-1", "d2b.data_AGGCCACTCGAAGCAG-1", "d2b.data_TTAGTCTGTACTCCGG-1", "d2b.data_TGGTGATAGCAGTCTT-1", "d2b.data_ATGTCCCAGCGAGTCA-1", "d2b.data_CCTCACATCTCATGGA-1", "d2b.data_ATTGTTCAGATTAGCA-1", "d2b.data_TCCCACACACTAAACC-1", "d2b.data_TTTACGTAGGTTACCT-1", "d2b.data_CGAAGGACACGGTCTG-1", "d2b.data_AGAACCTAGTCTTCGA-1", "d2b.data_CCTCATGTCTGTTCAT-1", "d2b.data_AAGAACACACTCCGAG-1", "d2b.data_AAGGTAAAGACCTGGA-1", "d2b.data_AGCTTCCAGAGGTGCT-1", "d2b.data_ACCCTCAAGGAACGTC-1", "d2b.data_GGAGAACTCATACGGT-1", "d2b.data_AACCTGAAGCCTCTCT-1", "d2b.data_CCATCACCACGTACTA-1", "d2b.data_ATGACCAGTTATGACC-1", "d2b.data_AGGGAGTGTTTCTATC-1", "d2b.data_CTGGACGCATCTAGAC-1", "d2b.data_AAAGTGATCTTCCCAG-1", "d2b.data_TACTGCCAGCACACCC-1", "d2b.data_TTGATGGGTAAGTTAG-1", "d2b.data_TGATGCACATGACTAC-1", "d2b.data_AGACACTGTTCTCCAC-1", "d2b.data_TACCCGTTCACACCGG-1", "d2b.data_TGGTACAGTATCTTCT-1", "d2b.data_TTTGGTTTCTACACAG-1", "d2b.data_TATTCCACATAATGCC-1", "d2b.data_ACGTAGTCAAGCGATG-1", "d2b.data_ACCATTTTCAAACCCA-1", "d2b.data_CAACAGTTCACACGAT-1", "d2b.data_GCACGGTGTATCGCGC-1", "d2b.data_CTGCATCGTCGACTGC-1", "d2b.data_CACAGGCAGAGTCACG-1", "d2b.data_GCAGTTATCCGTAGTA-1", "d2b.data_ACGTAGTTCTACTGCC-1", "d2b.data_CATCAAGCAATACGAA-1", "d2b.data_AGTGACTTCATGGTAC-1", "d2b.data_TAGACTGGTTCCACAA-1", "d2b.data_AGTTCCCGTTTAGACC-1", "d2b.data_AAGCGTTGTCCGGCAT-1", "d2b.data_CGAGGAAGTGTTCAGT-1", "d2b.data_TGGTACACAACCGCCA-1", "d2b.data_AATGCCACACATAGCT-1", "d2b.data_ATAGAGAAGGAGGTTC-1", "d2b.data_GTAAGTCCAGTATGAA-1", "d2b.data_GACCCTTCAAGTGGAC-1", "d2b.data_CTGGACGGTCGTCAGC-1", "d2b.data_TACCGGGTCGTTAGTG-1", "d2b.data_GACCAATGTTCCAGGC-1", "d2b.data_TCGGGACTCCAGGACC-1", "d2b.data_AAGACTCCAGCCTACG-1", "d2b.data_CATAGACAGCAACAAT-1", "d2b.data_CTCCGATGTCGCTGCA-1", "d2b.data_ATCCCTGGTCAGGAGT-1", "d2b.data_GTTGCGGAGACGCCAA-1", "d2b.data_GTAATGCCACACCAGC-1", "d2b.data_GTGACGCCACACACGC-1", "d2b.data_CTCATCGTCACCCTCA-1", "d2b.data_AACGTCAAGGTGATCG-1", "d2b.data_GCACGGTGTAGCCCTG-1", "d2b.data_AAGCCATGTTGTCCCT-1", "d2b.data_CCTCAACAGTTCCAGT-1", "d2b.data_ACTTTCACATAAGCAA-1", "d2b.data_AATCGTGCACTAAACC-1", "d2b.data_TCCCACACATCCTTCG-1", "d2b.data_GAGTGTTAGAAACACT-1", "d2b.data_ACATCGAGTCTCAAGT-1", "d2b.data_TCAATTCGTAGAAACT-1", "d2b.data_AACTTCTAGGTCACTT-1", "d2b.data_ATGAAAGCAGTCTTCC-1", "d2b.data_GATGACTGTGAATATG-1", "d2b.data_AACCTTTGTGTTCAGT-1", "d2b.data_TCAGCAACATGCTGCG-1", "d2b.data_TCATTCATCTTCCTAA-1", "d2b.data_GGCACGTAGCGAATGC-1", "d2b.data_CAGTTCCCACATGGTT-1", "d2b.data_TTCTCTCTCGTGACTA-1", "d2b.data_TTATTGCGTCGCAACC-1", "d2b.data_CTACTATTCTAGAACC-1", "d2b.data_GCCATTCAGGAACGAA-1", "d2b.data_CCGTTCATCCGCAGTG-1", "d2b.data_TCCGAAAGTTAATGAG-1", "d2b.data_GAAGTAAGTCTACAGT-1", "d2b.data_ATTCACTGTCGCATCG-1", "d2b.data_GTAAGTCCAAAGCTCT-1", "d2b.data_ATGGGAGGTGTGTGTT-1", "d2b.data_CATTGCCCACAGCTGC-1", "d2b.data_TGGTAGTTCATTCACT-1", "d2b.data_AATCGACGTAGAGTTA-1", "d2b.data_TCCGAAAAGTTCATCG-1", "d2b.data_TACATTCAGAGACAAG-1", "d2b.data_GACTCTCCAAGATGTA-1", "d2b.data_GATGGAGCACTGAGTT-1", "d2b.data_CACGGGTTCGCCAGAC-1", "d2b.data_AGCTCAAAGTCATGGG-1", "d2b.data_AGAAATGGTCCCGCAA-1", "d2b.data_GACCCAGGTGGCTGCT-1", "d2b.data_GAATCACCACTCGATA-1", "d2b.data_CCATAAGGTGATGGCA-1", "d2b.data_CGGGACTGTCTCAGGC-1", "d2b.data_GGAGGTAAGCTCCATA-1", "d2b.data_GGGAGTAGTGACAACG-1", "d2b.data_TAAGCACGTAGCACGA-1", "d2b.data_GGTAATCGTATCACGT-1", "d2b.data_CCTTGTGTCATCACCC-1", "d2b.data_GGGATGAGTGTGTCCG-1", "d2b.data_ACGGTCGGTTTGAACC-1", "d2b.data_AGAGAATGTCAAAGTA-1", "d2b.data_TGCGGCATCTCCTGCA-1", "d2b.data_TCCGAAACATATGCGT-1", "d2b.data_CACGTTCCACCGAATT-1", "d2b.data_GCACTAATCTTAGGAC-1", "d2b.data_TGTTGAGTCCACGAAT-1", "d2b.data_CCACAAATCAACTGGT-1", "d2b.data_TCGGGCACATCATCCC-1", "d2b.data_TTACCATTCATTCCTA-1", "d2b.data_CGAGTTATCCCTTTGG-1", "d2b.data_GACTCAACATGTTACG-1", "d2b.data_GCCAACGGTCTACGTA-1", "d2b.data_ACATTTCCAAGCCCAC-1", "d2b.data_ACTTCGCTCCTGCTAC-1", "d2b.data_ACTTCGCCAGATACCT-1", "d2b.data_TGGAACTGTATCCTCC-1", "d2b.data_TAGACTGAGCTGCGAA-1", "d2b.data_ATCCTATTCAGGACGA-1", "d2b.data_TTCCTCTGTCTTGCGG-1", "d2b.data_CTCTCGACATTCTCCG-1", "d2b.data_TCCTTCTGTGTGTCCG-1", "d2b.data_CTCCAACCACATCCCT-1", "d2b.data_GACTCTCCAACGGGTA-1", "d2b.data_ATCTCTAGTTCCTAAG-1", "d2b.data_CGGAATTTCAAGCCAT-1", "d2b.data_ATTCATCGTCCTGTTC-1", "d2b.data_CTTCTCTAGCCTTGAT-1", "d2b.data_TGTAACGTCTATTCGT-1", "d2b.data_CGTAATGTCTCATTTG-1", "d2b.data_CCAATGAAGGATTTGA-1", "d2b.data_ACCCTCAAGCTGAAGC-1", "d2b.data_AGTAGTCAGGCTAACG-1", "d2b.data_TAATCTCCATACCACA-1", "d2b.data_TCACGCTCAGAGAATT-1", "d2b.data_GTGGTTACAACAACAA-1", "d2b.data_GCCAGGTTCCACACCT-1", "d2b.data_CATACTTGTTAATCGC-1", "d2b.data_TCCCACACAGCAGATG-1", "d2b.data_TCCGATCCAGGCTATT-1", "d2b.data_CCACACTCACTACCCT-1", "d2b.data_TGGATGTTCGACGCTG-1", "d2b.data_AATCGACGTTGGTACT-1", "d2b.data_GGAACCCAGTTCCGTA-1", "d2b.data_AATGGCTTCAGGTGTT-1", "d2b.data_TCTCTGGTCGCTCATC-1", "d2b.data_AACGAAAAGAGGATCC-1", "d2b.data_CAGTTCCTCTCGGCTT-1", "d2b.data_GTAGAGGAGCCTCAGC-1", "d2b.data_TTACGCCCAAGAGAGA-1", "d2b.data_ATTCCATAGTCTAGCT-1", "d2b.data_AAACGAAAGTGAACAT-1", "d2b.data_CACCGTTGTACCCGAC-1", "d2b.data_GAATCGTAGCTAAACA-1", "d2b.data_GCCCAGAAGACTCAAA-1", "d2b.data_GTAGTACCAATCGAAA-1", "d2b.data_ATACTTCCAGTGAGCA-1", "d2b.data_TTACCATTCATTGAGC-1", "d2b.data_CCCTCTCGTACACTCA-1", "d2b.data_CATCAAGGTATGACAA-1", "d2b.data_TGCCGAGGTCGCACAC-1", "d2b.data_GTATTGGAGGACTATA-1", "d2b.data_AAGCATCCACAGCCTG-1", "d2b.data_CAGCCAGGTGTCTTCC-1", "d2b.data_CGAGGCTAGTAGGGTC-1", "d2b.data_GCACATATCGAATCCA-1", "d2b.data_AAAGTCCCAGCATTGT-1", "d2b.data_CATGCAACAAGAGGTC-1", "d2b.data_CTGTATTAGGATGAGA-1", "d2b.data_GACCAATTCGCAGAGA-1", "d2b.data_AGCCAGCCACTTCCTG-1", "d2b.data_GCTTCACAGCGCGTTC-1", "d2b.data_AGTTCCCCACGTCTCT-1", "d2b.data_CGAGGAAAGGCGACAT-1", "d2b.data_GTTATGGAGTGCAAAT-1", "d2b.data_GCTTCACCATAAGCAA-1", "d2b.data_GGGTGAAAGGAACGAA-1", "d2b.data_GGAATCTCAGCATCTA-1", "d2b.data_AGACTCATCCCTAGGG-1", "d2b.data_CCAAGCGAGGACGCTA-1", "d2b.data_ATCCCTGAGGTACATA-1", "d2b.data_TAGACTGGTGGAAATT-1", "d2b.data_CAGGTATGTACCATAC-1", "d2b.data_CCACTTGCAGAATCGG-1", "d2b.data_TTCCACGCAACAGATA-1", "d2b.data_GTGGTTACATAGAATG-1", "d2b.data_CTAACTTTCAAGCTGT-1", "d2b.data_TTACTGTCATAGACTC-1", "d2b.data_CCGATCTTCCTACGGG-1", "d2b.data_ACTGTCCTCACCGGGT-1", "d2b.data_TACCTGCCAGCCGGTT-1", "d2b.data_TGGGATTCACTGTGTA-1", "d2b.data_CACAGGCCACTCTCGT-1", "d2b.data_CCGATCTTCTTCGTAT-1", "d2b.data_TCATGTTAGCACTCAT-1", "d2b.data_TGCGGCACACTTGTCC-1", "d2b.data_CTGTGAAAGTCATCCA-1", "d2b.data_TGTGAGTCACTGCGAC-1", "d2b.data_CTAGACACACTCATAG-1", "d2b.data_CTAAGTGCATTCAGGT-1", "d2b.data_CTGTACCAGCGAACTG-1", "d2b.data_AGTACTGCACTCCGGA-1", "d2b.data_TCCATGCAGCAGGCTA-1", "d2b.data_TCCCACATCTGGACTA-1", "d2b.data_GATGGAGCAGCTGTGC-1", "d2b.data_ATCACTTCAACGTTAC-1", "d2b.data_TGGATGTAGCAATTCC-1", "d2b.data_GCAACATCAAGACGGT-1", "d2b.data_CACCAAACAACGACAG-1", "d2b.data_GTATTTCCACGGTGCT-1", "d2b.data_TCTCACGCAGTTGTCA-1", "d2b.data_TACTTACCAATAGTGA-1", "d2b.data_ACAAGCTGTTATTCCT-1", "d2b.data_CTCTCAGTCCACTAGA-1", "d2b.data_TCCACCAAGTAATACG-1", "d2b.data_GGAATCTCAATCGCCG-1", "d2b.data_CATCCCACATACAGCT-1", "d2b.data_GTAATGCCACTCTAGA-1", "d2b.data_CTTCCGAGTTTCCATT-1", "d2b.data_AAGCGTTGTACGGTTT-1", "d2b.data_GAGACCCGTCAGTCGC-1", "d2b.data_TTGTTCACAAATGAGT-1", "d2b.data_AATGCCATCGAGCCAC-1", "d2b.data_TTGCATTAGTAGAGTT-1", "d2b.data_ATGACCACATGGAATA-1", "d2b.data_ACACAGTTCTACCAGA-1", "d2b.data_TAGGGTTAGGAGAGTA-1", "d2b.data_AAGCGAGTCTTCCAGC-1", "d2b.data_CCCTCAAGTAAGATAC-1", "d2b.data_AATGAAGAGCAATTCC-1", "d2b.data_ATTATCCGTTTACTTC-1", "d2b.data_CTAACTTCACAATGTC-1", "d2b.data_ATGGAGGCAGGAAGTC-1", "d2b.data_ACATCCCAGACTCAAA-1", "d2b.data_ATGGTTGAGCTGCCAC-1", "d2b.data_CTAAGTGGTGTCCACG-1", "d2b.data_GAAACCTCACTGCACG-1", "d2b.data_CCAAGCGCAGACAATA-1", "d2b.data_CTTCTCTAGTAGAATC-1", "d2b.data_TCACACCGTAGGACCA-1", "d2b.data_GCATCTCCACTCATAG-1", "d2b.data_CTGTACCTCTGACCCT-1", "d2b.data_AGTACTGGTAGCTGAG-1", "d2b.data_GGGCCATCATAGAAAC-1", "d2b.data_CTTCCTTCAATCTCGA-1", "d2b.data_CTCCACATCGCTGTTC-1", "d2b.data_CCCTTAGAGAGCAGCT-1", "d2b.data_TACGGTAGTGTGATGG-1", "d2b.data_AGATCCAGTCGATGCC-1", "d2b.data_AGCGCCAAGCGTTCCG-1", "d2b.data_CACTGTCGTTGTTTGG-1", "d2b.data_CTACTATGTTCCTAAG-1", "d2b.data_TGGATCACATCTATCT-1", "d2b.data_TTACCATTCAACTACG-1", "d2b.data_TTAGGCAAGACCATTC-1", "d2b.data_AGCTCAAGTAACGCGA-1", "d2b.data_TAGAGTCTCGTGCTCT-1", "d2b.data_CTGGTCTCAAGTGGCA-1", "d2b.data_TCTCACGGTATCCTTT-1", "d2b.data_TGTTGGACAAGCTGTT-1", "d2b.data_ACTGTCCTCGTCTCAC-1", "d2b.data_CTACGGGCATTGTAGC-1", "d2b.data_GGCACGTCAAATTGCC-1", "d2b.data_GCTACCTCAGCCTTCT-1", "d2b.data_ACTATTCGTAGGTACG-1", "d2b.data_TTGAGTGAGCTAGAGC-1", "d2b.data_ACAGAAACAGACACCC-1", "d2b.data_TTCAGGAAGCAGAAAG-1", "d2b.data_GTTAGTGAGGACCCAA-1", "d2b.data_TGGATCACAGGGAATC-1", "d2b.data_GACCTTCGTTCGTTCC-1", "d2b.data_TAATCTCGTACAGTTC-1", "d2b.data_CCACTTGGTTTCCAAG-1", "d2b.data_AACACACCAGGTTCGC-1", "d2b.data_ATCGTCCAGATTTGCC-1", "d2b.data_CTCCTTTAGTTTCGAC-1", "d2b.data_TCATGGAAGTAGCAAT-1", "d2b.data_TGTCCACAGAATCCCT-1", "d2b.data_TTTATGCTCATAAGGA-1", "d2b.data_ATCACTTCACGAGGAT-1", "d2b.data_GACAGCCTCGACCCAG-1", "d2b.data_GGTTGTATCATCCTAT-1", "d2b.data_CGTGCTTGTTCTAAGC-1", "d2b.data_TACCCGTTCTGGCCAG-1", "d2b.data_GGGCTCAAGACGATAT-1", "d2b.data_ATCCACCCATACGCAT-1", "d2b.data_AAAGTCCAGTATTGCC-1", "d2b.data_CCTCCTCGTCAGATTC-1", "d2b.data_GATTCGATCGTAGGAG-1", "d2b.data_CATCCCAAGGCAGGTT-1", "d2b.data_ACGTACACAATGTGGG-1", "d2b.data_TCATGGACAACCAACT-1", "d2b.data_TCCTCTTGTCAAACGG-1", "d2b.data_GAGATGGGTACACTCA-1", "d2b.data_ACTGTCCGTACGGGAT-1", "d2b.data_TAACGACCAGACCTGC-1", "d2b.data_TTTGTTGCATCCTATT-1", "d2b.data_TCTTAGTTCGAACTCA-1", "d2b.data_GCCCGAATCTCGCCTA-1", "d2b.data_CTGGACGTCTCAACGA-1", "d2b.data_GCAGTTACATCCTTGC-1", "d2b.data_CGTGCTTAGCCGATCC-1", "d2b.data_AACCATGCATGGTACT-1", "d2b.data_GCTACCTGTGGCGTAA-1", "d2b.data_CTATCCGCACAGTCGC-1", "d2b.data_CTGGTCTCATCCGATA-1", "d2b.data_TTGGGCGGTCGTGCCA-1", "d2b.data_CATCGGGCACAAGGTG-1", "d2b.data_TCCTCTTAGACTTCGT-1", "d2b.data_GGGAGATTCCAACTAG-1", "d2b.data_GAATCGTGTGAATAAC-1", "d2b.data_CCGGTGAAGGGATGTC-1", "d2b.data_AACGTCACAAATGCTC-1", "d2b.data_GGCTTTCCATGACAAA-1", "d2b.data_CCTCTAGTCACCTCTG-1", "d2b.data_GCGTTTCTCACACGAT-1", "d2b.data_CAACGATAGTCGGCAA-1", "d2b.data_CCGGTAGCAATGGCCC-1", "d2b.data_GAGACCCGTTCCGGTG-1", "d2b.data_TGTGTGACAGGCATGA-1", "d2b.data_TAATTCCCAGCCCACA-1", "d2b.data_GCTACCTTCAGAATAG-1", "d2b.data_CATTCCGGTCGCAGTC-1", "d2b.data_CCTGCATCAATCTCTT-1", "d2b.data_GAGACCCCACGGCACT-1", "d2b.data_TTCATTGCATGCAGCC-1", "d2b.data_AGATAGAGTATACCTG-1", "d2b.data_CCTCACATCAGGACGA-1", "d2b.data_CATCCGTGTGACACAG-1", "d2b.data_CTCAACCAGTCCCAGC-1", "d2b.data_CTACGGGGTCCAAATC-1", "d2b.data_TTGCCTGTCTGTTGGA-1", "d2b.data_TTGTTTGGTACCGTCG-1", "d2b.data_CATTCTATCTTCGTAT-1", "d2b.data_TGAGTCACACTTCCTG-1", "d2b.data_CTACGGGTCTAACGCA-1", "d2b.data_GCCATTCGTCGAAGCA-1", "d2b.data_GGCACGTCAGCATTGT-1", "d2b.data_TGTGAGTGTGCGCTCA-1", "d2b.data_ACTATCTCATTCTTCA-1", "d2b.data_TTCCTCTAGGTTTACC-1", "d2b.data_TTACGTTCAGAGTAAT-1", "d2b.data_TACCCACGTCATGCAT-1", "d2b.data_CTGATCCCACTGCACG-1", "d2b.data_TCAATCTGTTATTCCT-1", "d2b.data_GCATCTCCATGGGAAC-1", "d2b.data_ACATCCCCATCTGTTT-1", "d2b.data_AGTAACCGTTACCCTC-1", "d2b.data_CATACAGGTTACACTG-1", "d2b.data_TCATACTGTCTAGGCC-1", "d2b.data_GAGACCCAGCAAGGAA-1", "d2b.data_AGGTCTAGTGGTCTTA-1", "d2b.data_GAGCTGCTCAAGGACG-1", "d2b.data_TCGACCTCAGCTACTA-1", "d2b.data_TTCCGTGCATCGCTCT-1", "d2b.data_CTTTCGGAGACCTGGA-1", "d2b.data_GACCCTTGTTTCGTAG-1", "d2b.data_AACGGGAGTAAGTAGT-1", "d2b.data_GCATCGGCACTTCCTG-1", 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"white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "gene = NKX1-2" }, "width": 1000 } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gene_name = \"NKX1-2\"\n", "scegot.plot_gene_expression_3d(\n", " gene_name,\n", " # save=True,\n", " # save_path=\"./pathway_single_gene_3d.html\"\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Interpolation:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Make interpolation distribution" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For each of PCA and UMAP, interpolated and correct data can be compared. Also, source and target can be toggled on and off." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "PCA ver." ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scegot.plot_true_and_interpolation_distributions(\n", " interpolate_index=2,\n", " mode=\"pca\",\n", " n_samples=1000,\n", " t=0.5,\n", " plot_source_and_target=True,\n", " alpha_true=0.5,\n", " # save=True,\n", " # save_path=\"./true_and_interpolation_distributions_pca.png\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "UMAP ver." ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Transforming interpolated data with UMAP...\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scegot.plot_true_and_interpolation_distributions(\n", " interpolate_index=2,\n", " mode=\"umap\",\n", " n_samples=500,\n", " t=0.5,\n", " plot_source_and_target=True,\n", " alpha_true=0.2,\n", " # save=True,\n", " # save_path=\"./true_and_interpolation_distributions_pca.png\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Interpolated animation of gene expression" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "PCA ver." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Interpolating between day0 and day0.5...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 11/11 [00:00<00:00, 23.68it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Interpolating between day0.5 and day1...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10/10 [00:00<00:00, 14.50it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Interpolating between day1 and day1.5...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10/10 [00:01<00:00, 9.84it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Interpolating between day1.5 and day2...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10/10 [00:01<00:00, 7.31it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Creating animation...\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 3min 22s, sys: 22 s, total: 3min 44s\n", "Wall time: 2min 34s\n" ] } ], "source": [ "%%time\n", "target_gene = \"NKX1-2\"\n", "scegot.animate_gene_expression(\n", " target_gene,\n", " mode=\"umap\",\n", " interpolate_interval=11,\n", " n_samples=1000,\n", " cmap=\"gnuplot2\",\n", " # save=True,\n", " # save_path=\"./interpolate_video_umap.gif\"\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Cell velocity:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting cell velocity" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "After the velocity is calculated using `calculate_cell_velocities()`, visualize it with `plot_cell_velocity()`. Both PCA and UMAP are supported." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "PCA ver." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculating cell velocities between each day...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 4/4 [00:00<00:00, 24.47it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "computing velocity graph (using 1/8 cores)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3b1a0ca22d814624bfb9659333de6e31", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/10021 [00:00 added \n", " 'velocity_graph', sparse matrix with cosine correlations (adata.uns)\n", "computing velocity embedding\n", " finished (0:00:01) --> added\n", " 'velocity_pca', embedded velocity vectors (adata.obsm)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "velocities = scegot.calculate_cell_velocities()\n", "scegot.plot_cell_velocity(\n", " velocities,\n", " mode=\"pca\",\n", " color_points=\"gmm\",\n", " cluster_names=list(itertools.chain.from_iterable(cluster_names)),\n", " cmap=\"tab20\",\n", " # save=True,\n", " # save_path=\"./cell_velocity_pca.png\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "UMAP ver." ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "computing velocity graph (using 1/8 cores)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "6e9ea942a7c64f93994b3f600a334542", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/10021 [00:00 added \n", " 'velocity_graph', sparse matrix with cosine correlations (adata.uns)\n", "computing velocity embedding\n", " finished (0:00:00) --> added\n", " 'velocity_umap', embedded velocity vectors (adata.obsm)\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 6.65 s, sys: 823 ms, total: 7.47 s\n", "Wall time: 5.09 s\n" ] } ], "source": [ "%%time\n", "scegot.plot_cell_velocity(\n", " velocities,\n", " mode=\"umap\",\n", " color_points=\"day\",\n", " cmap=\"plasma\",\n", " # save=True,\n", " # save_path=\"./cell_velocity_umap.png\"\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Gene regulatory network:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can infer and visualize the Gene regulatory network between genes specified in `selected_genes`.\\\n", "\n", "To display the network, you need to install GraphViz by referring to the following website. \\\n", "https://www.graphviz.org/download/" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculating GRNs between each day...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 4/4 [00:01<00:00, 3.63it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 7.34 s, sys: 360 ms, total: 7.7 s\n", "Wall time: 1.1 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "%%time\n", "GRNs, ridgeCVs = scegot.calculate_grns(\n", " selected_clusters=None,\n", " alpha_range=(-2, 2),\n", " cv=3,\n", " ridge_cv_fit_intercept=False,\n", " ridge_fit_intercept=False,\n", ")" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "python(29628) MallocStackLogging: can't turn off malloc stack logging because it was not enabled.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "alpha = 8.858667904100823\n" ] }, { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "alpha = 37.92690190732246\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "python(29643) MallocStackLogging: can't turn off malloc stack logging because it was not enabled.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "alpha = 37.92690190732246\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "python(29644) MallocStackLogging: can't turn off malloc stack logging because it was not enabled.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "alpha = 100.0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "python(29645) MallocStackLogging: can't turn off malloc stack logging because it was not enabled.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "selected_genes = [\"TFAP2C\", \"SOX17\", \"PRDM1\", \"NKX1-2\"]\n", "scegot.plot_grn_graph(\n", " GRNs,\n", " ridgeCVs,\n", " selected_genes,\n", " threshold=0.01,\n", " # save=True,\n", " # save_paths=[f\"./grn_{day_name}.png\" for day_name in DAY_NAMES],\n", " # save_format=\"png\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By passing an array of cluster names to `selected_clusters`, you can specify the clusters to be used in the GRN calculation." ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculating GRNs between each day...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 4/4 [00:00<00:00, 4.91it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 5.57 s, sys: 483 ms, total: 6.05 s\n", "Wall time: 819 ms\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "%%time\n", "selected_clusters = [[0, 0], [1, 1], [2, 0], [3, 1]] # [[data_point_index, cluster_number], ...]\n", "GRNs_cluster, ridgeCVs_cluster = scegot.calculate_grns(\n", " selected_clusters=selected_clusters,\n", " alpha_range=(-2, 2),\n", " cv=3,\n", " ridge_cv_fit_intercept=False,\n", " ridge_fit_intercept=False,\n", ")" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "alpha = 8.858667904100823\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "python(29663) MallocStackLogging: can't turn off malloc stack logging because it was not enabled.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "python(29665) MallocStackLogging: can't turn off malloc stack logging because it was not enabled.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "alpha = 8.858667904100823\n" ] }, { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "alpha = 2.06913808111479\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "python(29666) MallocStackLogging: can't turn off malloc stack logging because it was not enabled.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "alpha = 8.858667904100823\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "python(29667) MallocStackLogging: can't turn off malloc stack logging because it was not enabled.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "selected_genes = [\"TFAP2C\", \"SOX17\", \"PRDM1\", \"NKX1-2\"]\n", "scegot.plot_grn_graph(\n", " GRNs_cluster,\n", " ridgeCVs_cluster,\n", " selected_genes,\n", " threshold=0.01,\n", " # save=True,\n", " # save_paths=[f\"grn_selected_clusters_{day_name}\" for day_name in DAY_NAMES],\n", " # save_format=\"png\"\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Reconstruction of the Waddington Landscape:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Both PCA and UMAP are supported." ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculating F between each day...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 4/4 [00:00<00:00, 13.76it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Applying knn ...\n", "Computing kernel ...\n", "CPU times: user 5.18 s, sys: 1.02 s, total: 6.2 s\n", "Wall time: 2.84 s\n" ] } ], "source": [ "%%time\n", "Wpotential, F_all = scegot.calculate_waddington_potential(\n", " n_neighbors=100,\n", " knn_other_params={},\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot the Waddington potential in 3 dimensions. If `gene_name` is specified, the graph is colored by the expression level of the gene, and if `gene_name` is None, the graph is colored by the Waddington potential." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "PCA ver." ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "%{hovertext}

PC1=%{x}
PC2=%{y}
Waddington Potential=%{z}
color=%{marker.color}", "hovertext": [ "iM.data_GTGGAAGGTCAATGGG-1", "iM.data_TTCATGTCAACCCGCA-1", "iM.data_GAGGGTATCCAGGACC-1", "iM.data_AAGTCGTAGGCTTTCA-1", "iM.data_ACCGTTCGTAACTTCG-1", "iM.data_GTGTTAGCAAGTTTGC-1", "iM.data_TCACGGGGTGGCGCTT-1", "iM.data_GTTACGAAGGTCTACT-1", "iM.data_TGATCAGAGTCGTTAC-1", "iM.data_GTGCAGCGTCTTCAAG-1", "iM.data_AGTAGTCCACCCTGTT-1", "iM.data_CCATAAGGTAGCTGTT-1", "iM.data_TAAGCACCAGTCGTTA-1", "iM.data_GGTCACGAGGTCCCTG-1", "iM.data_CTGCGAGGTCGTGTTA-1", "iM.data_TCAGGTAGTCGCACAC-1", "iM.data_TCTGTCGTCGTTCAGA-1", "iM.data_AGTTCCCCATTATGCG-1", "iM.data_TCATTGTCATTACGGT-1", "iM.data_TGTAGACTCGGTAACT-1", "iM.data_CTGTATTAGGATCATA-1", "iM.data_TTGTTGTGTATCGATC-1", "iM.data_CTGCCTAGTACGATGG-1", "iM.data_CGCAGGTCATAAGCGG-1", "iM.data_TCGTGGGGTTTGCAGT-1", "iM.data_CTGAGCGTCCCTGGTT-1", "iM.data_CGTGTCTAGCATAGGC-1", "iM.data_GGGTTTATCCTGTACC-1", "iM.data_TTCTAGTGTAAGATCA-1", "iM.data_GTCGCGAAGCGTGCTC-1", "iM.data_TCCCAGTGTAGATGTA-1", "iM.data_TTCGGTCGTGTGGACA-1", "iM.data_TAGCACAGTTGTGTAC-1", "iM.data_CCTCATGAGCGCCGTT-1", "iM.data_CATCGGGAGGCTGAAC-1", "iM.data_ACCTGAATCGTAACAC-1", "iM.data_TCGTAGAAGAGGTATT-1", "iM.data_TCGTCCAGTAGTTCCA-1", "iM.data_GGCTGTGTCTAGCAAC-1", "iM.data_TGACGCGTCAGTGGGA-1", "iM.data_TTTCAGTTCGTCAGAT-1", "iM.data_TATTGGGTCGCTTGAA-1", "iM.data_GTATTGGAGAGTACCG-1", "iM.data_TCAATTCCAGCAGATG-1", "iM.data_GGGCTACTCCGTAGGC-1", "iM.data_CGTGTCTTCAAGCCGC-1", "iM.data_ACGGAAGCAGTGGCTC-1", "iM.data_TGAGGTTAGTGCCGAA-1", "iM.data_ACGTAGTTCTGTGCGG-1", "iM.data_TTCATGTAGTGCGACA-1", "iM.data_AGTGATCAGAATCGCG-1", "iM.data_TCGTGCTCAACGGTAG-1", "iM.data_GTGCAGCAGTAAACTG-1", "iM.data_TTGTTTGAGGGTCACA-1", "iM.data_CAAGAGGTCTCAGGCG-1", "iM.data_AGCGTCGCACCGCTGA-1", "iM.data_CGACAGCAGACGCTCC-1", "iM.data_CAACGGCTCAGGAAGC-1", "iM.data_CGTTAGATCATAGCAC-1", "iM.data_TCAGCCTCAAGGCTTT-1", "iM.data_TCATGGACACCTGCGA-1", "iM.data_GTTCATTAGGAAGTGA-1", "iM.data_GTGTTAGTCACCTCGT-1", "iM.data_ACACGCGTCATGAGAA-1", "iM.data_ATTCCATAGAGTCCGA-1", "iM.data_TACACCCCAGTATTCG-1", "iM.data_CGATGGCTCATGAAAG-1", "iM.data_GTCGTAATCCTGATAG-1", "iM.data_TCTACATAGATACTGA-1", "iM.data_GTGCAGCAGGAAAGTG-1", "iM.data_CGAGTTAAGTGCCCGT-1", "iM.data_GGTGTCGTCGGAGTGA-1", "iM.data_CGCGTGATCCGGTAAT-1", "iM.data_GGGACAAAGAGTCAAT-1", "iM.data_GTGGAGATCAATCCAG-1", "iM.data_AGCGTATTCCTACCGT-1", "iM.data_AGTAGTCGTGTTGAGG-1", "iM.data_AGGAGGTTCGGCTGTG-1", "iM.data_CGGGACTCAAAGGCTG-1", "iM.data_ATGGAGGTCCGTGACG-1", "iM.data_GGTCTGGGTAATGATG-1", "iM.data_TAACTTCAGGTCGTGA-1", "iM.data_CACACAAGTAAGGAGA-1", "iM.data_GTCGCGAGTCGTGTTA-1", "iM.data_GGATGTTAGTAAGAGG-1", "iM.data_CTACATTTCTGCCCTA-1", "iM.data_ATCATTCTCTAGGAAA-1", "iM.data_CCGATCTAGAAGTCAT-1", "iM.data_CGTGAATGTACCATAC-1", "iM.data_CTTCTAAGTTCTTGTT-1", "iM.data_AGGGTTTGTGACACGA-1", "iM.data_TGTTGAGCAGACACAG-1", "iM.data_CGCCAGAGTTGAAGTA-1", "iM.data_TCGGGTGTCCAGCTCT-1", "iM.data_CGTGTCTCAGGTGGAT-1", "iM.data_ACTTATCGTCGAGCTC-1", "iM.data_GTTCCGTCAATCGTCA-1", "iM.data_TCCCACAGTGGATCGA-1", "iM.data_ATGGGTTAGCTGAAGC-1", "iM.data_AGATGAAAGCTAATCC-1", "iM.data_AAAGAACTCCTATTGT-1", "iM.data_TTCCACGGTGCGTCGT-1", "iM.data_TCATTCAAGAGGCGTT-1", "iM.data_AGGACTTCAAGAGTGC-1", "iM.data_CAGATTGTCTTCGACC-1", "iM.data_TGTTGAGGTCAAAGTA-1", "iM.data_ACTGCAATCGGTCGAC-1", "iM.data_AAAGTCCAGACGTCGA-1", "iM.data_CTTCTAAAGATTGTGA-1", "iM.data_TAGGAGGAGGTGCTTT-1", "iM.data_CTACAGAGTCGGTGTC-1", "iM.data_TCCACGTAGGGTTAAT-1", "iM.data_AAGTACCAGTAACCGG-1", "iM.data_GCGTTTCAGTACTCGT-1", "iM.data_ACAAGCTGTGTGCCTG-1", "iM.data_TGCACGGAGCGTGTCC-1", "iM.data_CTGTCGTGTTGTTTGG-1", "iM.data_GTCAAGTAGAGAGAAC-1", "iM.data_CTACAGAGTGGTTTGT-1", "iM.data_GCGTTTCGTACTGTTG-1", "iM.data_ATTACTCCAGTGGTGA-1", "iM.data_GTATTGGAGTCACAGG-1", "iM.data_TTCATGTTCTGATGGT-1", "iM.data_CCGGACACAGCTTCGG-1", "iM.data_CAAGAGGCAAAGAGTT-1", "iM.data_CTGCGAGCATGGGATG-1", "iM.data_CAGCGTGAGTGTAGAT-1", "iM.data_CGGGTGTAGTTCCGGC-1", "iM.data_GTCGTAAGTACTCGTA-1", "iM.data_GTTCATTCACGCGTGT-1", "iM.data_TTGGGATCAAATGAGT-1", "iM.data_CCGTTCATCGCTAGCG-1", "iM.data_TGTAAGCGTCGTTGCG-1", "iM.data_TACGGGCTCTGAGAAA-1", "iM.data_CATCGGGTCACGTCCT-1", "iM.data_CAGCAATAGCTCCATA-1", "iM.data_TGAATCGGTAATGTGA-1", "iM.data_AAGACAAAGCGACTTT-1", "iM.data_TAAGCGTGTGGTCTAT-1", "iM.data_TTCATTGTCTATACGG-1", "iM.data_ATCATTCAGGAGATAG-1", "iM.data_TTACTGTTCCGATAGT-1", "iM.data_GTGGCGTGTTCTTGCC-1", "iM.data_CAGCGTGTCTCTCAAT-1", "iM.data_AGGGTTTAGTCAAGCG-1", "iM.data_TATTGCTGTCGCATGC-1", "iM.data_CTCTCAGAGTTGGACG-1", "iM.data_CTTGATTCAAATGGAT-1", "iM.data_GTTGTGATCCGAGATT-1", "iM.data_GCGATCGGTCGTGCCA-1", "iM.data_GGAGAACAGGTGATAT-1", "iM.data_GTAATGCGTGATACAA-1", "iM.data_CGGGCATTCATTTGTC-1", "iM.data_GCCGTGATCTACGGGC-1", "iM.data_GAATAGAGTGTCCATA-1", "iM.data_AATCACGTCTCGCAGG-1", "iM.data_CTTCAATTCAGGACAG-1", "iM.data_CTCCGATGTGGGCTCT-1", "iM.data_AGCGTCGAGATGTTAG-1", "iM.data_TTGCGTCGTACCACGC-1", "iM.data_ATCATTCGTGTGATGG-1", "iM.data_TGCGATAGTTGTGTTG-1", "iM.data_GAAGCCCCAAGGTACG-1", "iM.data_CGGAACCAGATGGTAT-1", "iM.data_TAACCAGCAAGGCGTA-1", "iM.data_AATCACGGTAATTAGG-1", "iM.data_AATAGAGTCCTTCAGC-1", "iM.data_ACCTGTCGTGCCTATA-1", "iM.data_TATTGGGGTGGGATTG-1", "iM.data_TTGCGTCTCTGCTTAT-1", "iM.data_GTCGTAATCGAGGCAA-1", "iM.data_TGTAACGAGTGGTTGG-1", "iM.data_TGTGCGGTCAGAGCAG-1", "iM.data_CTGGACGTCAGCTTGA-1", "iM.data_TCCGTGTCACGAAAGC-1", "iM.data_AAGATAGAGTCTGCAT-1", "iM.data_TGGAGGAGTTTGTGGT-1", "iM.data_GGAGATGGTCTTCATT-1", "iM.data_TTCGGTCCAGAATCGG-1", "iM.data_CGGAATTCAGCGTTTA-1", "iM.data_GTCGTTCGTGGTCAAG-1", "iM.data_TAGATCGTCTCACGAA-1", "iM.data_GTGTTCCAGCTACAAA-1", "iM.data_TTGGGCGTCTGTTGGA-1", "iM.data_GTGTGATAGCGACATG-1", "iM.data_GTGCTGGAGCTGAGTG-1", "iM.data_GTCGAATAGATCGCTT-1", "iM.data_TGAGGAGAGCCTGCCA-1", "iM.data_GGGTTATTCTATACGG-1", "iM.data_AGAACCTTCGGAGATG-1", "iM.data_GTTACAGAGTTGGACG-1", "iM.data_GAATCGTGTCCCAAAT-1", "iM.data_ATCACTTAGAGAATCT-1", "iM.data_CTCCCTCCAACGGGTA-1", "iM.data_TGCTTGCGTCATGGCC-1", "iM.data_CGCATGGCAACCGCTG-1", "iM.data_TAACTTCGTAGCGATG-1", "iM.data_CTCATCGGTTGTGGCC-1", "iM.data_TCGTGCTTCCTGTAGA-1", "iM.data_TCAAGACGTTATGTGC-1", "iM.data_AAGATAGAGGTGCTTT-1", "iM.data_GCGTGCAGTGGTTTGT-1", "iM.data_TCACTATAGAATCGCG-1", "iM.data_TGTTTGTAGAGTTCGG-1", "iM.data_TGCACGGTCTAAACGC-1", "iM.data_ATGGGAGAGTCCTGCG-1", "iM.data_GCATGATAGGCTAACG-1", "iM.data_CTGAGGCGTAATGCGG-1", "iM.data_CTCTCAGAGTAGGTTA-1", "iM.data_AGAAGCGGTATCGGTT-1", "iM.data_CCTATCGCATGAGGGT-1", "iM.data_CTGCATCGTTGGAGAC-1", "iM.data_CACCGTTGTAAGGTCG-1", "iM.data_TCAGGTAAGTAAATGC-1", "iM.data_ATCTCTAAGTGTGTTC-1", "iM.data_CGAGTTACACATCCCT-1", "iM.data_GTTGTAGGTTATGTGC-1", "iM.data_TCAAGACTCTACTGAG-1", "iM.data_TTTAGTCTCTGTGCAA-1", "iM.data_CGTAGTAAGCCACCGT-1", "iM.data_TCAAGCATCCATAGAC-1", "iM.data_GGAGAACCATACCAGT-1", "iM.data_GTTCTATCAATTGAAG-1", "iM.data_GCGATCGGTGAACCGA-1", "iM.data_CATCCGTAGAGCCGAT-1", "iM.data_CGTTCTGTCGTGTGGC-1", "iM.data_CGATGGCCACCGAATT-1", "iM.data_CACACAAAGTATGAAC-1", "iM.data_GGGAAGTGTTGTGGAG-1", "iM.data_GTGTAACCATTGAAGA-1", "iM.data_CCTTCAGAGTCGAGGT-1", "iM.data_ATTTCACCATTCCTAT-1", "iM.data_CACTTCGAGAACGTGC-1", "iM.data_ACGTAGTGTTCCACGG-1", "iM.data_TTTCAGTGTCTTCAAG-1", "iM.data_GAATAGACAGCTCTGG-1", "iM.data_AAAGTGATCCGTGTAA-1", "iM.data_ATCGGATTCCTTTAGT-1", "iM.data_ACTATTCGTTAATCGC-1", "iM.data_AAGACAAAGTCATCGT-1", "iM.data_GATGGAGCAGTAGAGC-1", "iM.data_CCTCCAAGTGTATACC-1", "iM.data_AGGGCTCAGACAACAT-1", "iM.data_ACTATCTAGGTTAAAC-1", "iM.data_TCATGGAAGCCGTCGT-1", "iM.data_TCTGGCTAGGAGGGTG-1", "iM.data_CGGGTGTGTCACAGTT-1", "iM.data_ATCGTCCCAGTCCGTG-1", "iM.data_GCCATGGAGGATACAT-1", "iM.data_CCTGCATCATTCTGTT-1", "iM.data_AGATCGTAGGGTACGT-1", "iM.data_TGTTCCGAGTACGAGC-1", "iM.data_CCACGAGGTATACGGG-1", "iM.data_ATATCCTGTCGTGGTC-1", "iM.data_GAGTTGTAGGCACCAA-1", "iM.data_CGATGCGGTCTGGTTA-1", "iM.data_TCGTAGATCCATCCGT-1", "iM.data_ACCTGAACACGTGAGA-1", "iM.data_TATCTTGAGCCTTCTC-1", "iM.data_AGGAAATTCCCAGCGA-1", "iM.data_TCGGTCTTCATTACTC-1", "iM.data_AACACACGTGATAGAT-1", "iM.data_TGTCCCAGTGGTCAAG-1", "iM.data_ATTACCTTCCATACAG-1", "iM.data_AGGTTGTGTGAACGGT-1", "iM.data_TCACACCAGAAGGCTC-1", "iM.data_CGTCAAACATATTCGG-1", "iM.data_ACAAAGAAGCCGAACA-1", "iM.data_CAATCGAAGGCATCGA-1", "iM.data_GCATCGGGTGGATGAC-1", "iM.data_GCATTAGAGATACATG-1", "iM.data_GGGTCTGGTCTGCATA-1", "iM.data_CACAGGCGTCGAATGG-1", "iM.data_TATCGCCAGCGTCGAA-1", "iM.data_GTCTACCCAACGACAG-1", "iM.data_TCAAGCAAGTGGTTCT-1", "iM.data_GCGATCGAGGTGATCG-1", "iM.data_TCGATTTAGAAGGTAG-1", "iM.data_GGGTGTCGTGGAACCA-1", "iM.data_GGGAGTATCCTTTAGT-1", "iM.data_GTTCGCTGTAACGTTC-1", "iM.data_ACGGGTCGTGCATACT-1", "iM.data_GGTGATTAGAAGTCTA-1", "iM.data_CAAAGAAGTCATAAAG-1", "iM.data_TACCTCGGTGTCCAAT-1", "iM.data_GTGGAGAGTCGTGATT-1", "iM.data_TAGGTTGAGCTGTACT-1", "iM.data_TGACAGTCATACAGCT-1", "iM.data_TCCGGGATCAAATAGG-1", "iM.data_ACTCCCAGTACGTGAG-1", "iM.data_TCGCTTGCACAGCCTG-1", "iM.data_TTTCACAAGATAGTGT-1", "iM.data_GAGTTGTGTTCCGCTT-1", "iM.data_CATTGAGGTAACGGTG-1", "iM.data_AGAGCAGGTCTGGTTA-1", "iM.data_TCTCAGCAGGCCTTGC-1", "iM.data_GAATCGTTCATTACTC-1", "iM.data_GTCGCGACACAGCCTG-1", "iM.data_TTTCACAAGCCGCTTG-1", "iM.data_TCACACCAGGTCGTAG-1", "iM.data_ACCGTTCTCGTGTTCC-1", "iM.data_GATTCTTCACCTGTCT-1", "iM.data_CAACGGCCAGCGTTGC-1", "iM.data_GTGGAAGGTAGCCAGA-1", "iM.data_TTCCAATTCGGCACTG-1", "iM.data_AGGGCTCTCTGAGGCC-1", "iM.data_AGAGAGCGTGGATACG-1", "iM.data_ATCGTAGGTCCATAGT-1", "iM.data_GCCAACGTCGGTGCAC-1", "iM.data_AGAAGCGTCCGCACGA-1", "iM.data_CATTCATGTTAGGGAC-1", "iM.data_CATAAGCCAGGTGTTT-1", "iM.data_ATCGTGACACTCAGAT-1", "iM.data_TCTGTCGGTAATACCC-1", "iM.data_CTACCTGTCAGTGTGT-1", "iM.data_AGGAGGTCAGAGGTAC-1", "iM.data_CCTCCAAAGTCGGCCT-1", "iM.data_TTGTTCAGTCGAGTTT-1", "iM.data_AGGTTGTGTGTTACTG-1", "iM.data_AGATCGTGTGTCACAT-1", "iM.data_TCCGTGTGTGACTAAA-1", "iM.data_AGGAAATTCCCTGGTT-1", "iM.data_TCGAAGTAGAGAACCC-1", "iM.data_TCGTGGGCAGGTGGAT-1", "iM.data_GGAGGTAAGTGTTGTC-1", "iM.data_TCGCAGGTCGCTCCTA-1", "iM.data_AAGTGAAAGATGACCG-1", "iM.data_CGTAAGTGTAACTGCT-1", "iM.data_CGTGAATTCCACTGGG-1", "iM.data_AGGGTGAGTGTCCACG-1", "iM.data_TCAGGGCAGGCCATAG-1", "iM.data_TTTCCTCTCTCATTTG-1", "iM.data_GACTTCCCAGTCCGTG-1", "iM.data_TCTGCCATCACAAGAA-1", "iM.data_TTACCATGTCAGTCCG-1", "iM.data_ATGGAGGTCAATGTCG-1", "iM.data_TGTAACGAGGATATGT-1", "iM.data_TCTTTGACAAGAGTGC-1", "iM.data_GCAACATGTGCCGTTG-1", "iM.data_TGTTCATTCAGTGCGC-1", "iM.data_GCTACCTGTTAAGGAT-1", "iM.data_TTTAGTCGTGATAGTA-1", "iM.data_TGATGCAGTTCATCGA-1", "iM.data_ATACCGAGTATCGTAC-1", "iM.data_TCATATCGTTTGTGGT-1", "iM.data_GTGGAGAGTAGTTACC-1", "iM.data_GATAGAAAGGCTTCCG-1", "iM.data_AGACAAAAGGTAGTCG-1", "iM.data_CGGGCATAGTCTTCCC-1", "iM.data_AAGTCGTGTTTCAGAC-1", "iM.data_TTACCATAGACATGCG-1", "iM.data_AGAAGTAGTGCTCGTG-1", "iM.data_ACTTCGCCAAGAGATT-1", "iM.data_GTCACTCAGAGGTTTA-1", "iM.data_GCCAGGTAGTGCTCAT-1", "iM.data_GTTAGTGAGGGTACAC-1", "iM.data_GCGTGCAGTGAATGAT-1", "iM.data_CGTGAATTCTGACAGT-1", "iM.data_ATCCGTCGTAGTTCCA-1", "iM.data_GTTCCGTTCTAGATCG-1", "iM.data_CTCAGGGCAGTCGAGA-1", "iM.data_ATTACCTCATGACGGA-1", "iM.data_CTGGTCTTCATGGAGG-1", "iM.data_GGCACGTTCTTCGGTC-1", "iM.data_CTGTATTCACTTTAGG-1", "iM.data_GAGATGGGTGGAATGC-1", "iM.data_CATTTCAGTTCCTAAG-1", "iM.data_CTGTGGGAGAATGTTG-1", "iM.data_TCTCACGGTAGACGTG-1", "iM.data_GTGGTTATCAGTGTCA-1", "iM.data_TGAGGGAAGGCTAACG-1", "iM.data_TATCTGTTCCTCAGGG-1", "iM.data_TTATTGCAGAAGTCTA-1", "iM.data_TTGTTGTGTGTGTCGC-1", "iM.data_TGAGGGAGTTGAAGTA-1", "iM.data_TCGTGGGGTTTACTGG-1", "iM.data_CAGGGCTAGCTAAATG-1", "iM.data_ACGTAGTAGGTAAACT-1", "iM.data_TCTCACGGTGAATAAC-1", "iM.data_GGTAACTAGATGAAGG-1", "iM.data_TATACCTGTGGATTTC-1", "iM.data_AACAAAGCAAGACAAT-1", "iM.data_CATCGTCAGTCATCCA-1", "iM.data_TGTTGGAGTTGCCTAA-1", "iM.data_GACCAATAGTTGGCTT-1", "iM.data_GAGCCTGGTAGTCGTT-1", "iM.data_CCACCATCAAGAGAGA-1", "iM.data_GAGACCCTCTATCGGA-1", "iM.data_GGGTTTAGTAGCGTTT-1", "iM.data_CAGCAATGTGCAACGA-1", "iM.data_GACTCTCCAGTATACC-1", "iM.data_CCGTTCAAGTGCCCGT-1", "iM.data_GGCGTCATCCATATGG-1", "iM.data_TCATGCCTCGCAAGAG-1", "iM.data_GGGCTACAGCCGATAG-1", "iM.data_ATCACGACAACCGTGC-1", "iM.data_AGCCACGCATCAGCGC-1", "iM.data_GTCTTTATCGCTACGG-1", "iM.data_TACAACGAGTAACAGT-1", "iM.data_CATGCTCAGTTTGGCT-1", "iM.data_CCCTAACTCGACGACC-1", "iM.data_ATCCTATAGGTCGTGA-1", "iM.data_AAACGAATCGCGGTAC-1", "iM.data_TTCCGGTCATGCAGCC-1", "iM.data_TTGGTTTAGTAGAGTT-1", "iM.data_GGGAAGTTCGGAGTGA-1", "iM.data_AGATAGAAGTAGGCCA-1", "iM.data_GTTGTAGGTTGCTCAA-1", "iM.data_TAACTTCGTGCTGATT-1", "iM.data_TGACGCGTCACTACGA-1", "iM.data_GAAGGGTCACAATGAA-1", "iM.data_CTGTAGATCATTCATC-1", "iM.data_TGTGAGTAGCCGATCC-1", "iM.data_TGAGTCAGTCGGAAAC-1", "iM.data_CATACTTGTAGAAACT-1", "iM.data_CAACGGCGTTACGATC-1", "iM.data_CATCGTCGTAGTCTTG-1", "iM.data_GATAGCTCAACAGATA-1", "iM.data_TATATCCGTTTGCAGT-1", "iM.data_GGGATCCGTTGTTTGG-1", "iM.data_TATTTCGAGGTAGATT-1", "iM.data_GTGGTTAGTGGTATGG-1", "iM.data_TTGCTGCTCAATGTCG-1", "iM.data_ACGCACGCAAAGGGCT-1", "iM.data_GGGTCACAGCAGTCTT-1", "iM.data_TGCATGAAGAAACACT-1", "iM.data_CCTGCATCAACCGCTG-1", "iM.data_CTACGGGGTAAGCTCT-1", "iM.data_CCTACGTGTGTCTCCT-1", "iM.data_AGTGACTGTGACTCTA-1", "iM.data_CAGATTGTCGAGTGAG-1", "iM.data_TGAGGTTGTTAGAAGT-1", "iM.data_TGTGGCGAGAATAGTC-1", "iM.data_GTTTGGAGTAGTGATA-1", "iM.data_CAAAGAAAGCCGTTAT-1", "iM.data_GGCTTTCGTGTCATCA-1", "iM.data_CCGTGAGAGAGCATAT-1", "iM.data_GCATCTCCATAGCACT-1", "iM.data_ACTTTGTAGGTGGTTG-1", "iM.data_TCATGAGAGGCGTTAG-1", "iM.data_TTGCGTCGTCTCACAA-1", "iM.data_CGAAGGATCAGCTGAT-1", "iM.data_TACTTGTGTAACACCT-1", "iM.data_GGATGTTAGATGCTTC-1", "iM.data_GAGGGTAGTTGGTGTT-1", "iM.data_CAAGGGATCCCAAGCG-1", "iM.data_CTGAGGCGTCTGTTAG-1", "iM.data_AACTTCTCAGCTCGGT-1", "iM.data_GGCAGTCGTGGCAACA-1", "iM.data_TAGAGTCCAGCACACC-1", "iM.data_GACGTTATCGCTAGCG-1", "iM.data_CGTCAAAAGAGTTGAT-1", "iM.data_GTCGTAACATTGCTGA-1", "iM.data_GGAGGATAGATGCTAA-1", "iM.data_CTCCGATGTCGCAGTC-1", "iM.data_TTGATGGAGGCTCTAT-1", "iM.data_GATTCGAAGACACACG-1", "iM.data_TTAGGCAGTCGATTAC-1", "iM.data_TGGGCTGAGCAAGTCG-1", "iM.data_CGTAATGGTTAACAGA-1", "iM.data_ACGTCCTGTCTTGAAC-1", "iM.data_TCGGGCATCATCGTAG-1", "iM.data_CAAAGAAGTCATCCCT-1", "iM.data_ACACAGTCAGTGTGCC-1", "iM.data_TCGGTCTGTTAAGTCC-1", "iM.data_TATCAGGTCTACCCAC-1", "iM.data_TTGGGTAAGTGCTCGC-1", "iM.data_CGCAGGTCAGACACAG-1", "iM.data_ACGATCAAGTTGCGCC-1", "iM.data_GTCATTTGTACAAACA-1", "iM.data_GTTCTATCAGCTCGGT-1", "iM.data_CGTTCTGAGAGGATGA-1", "iM.data_TACTTCATCATCACAG-1", "iM.data_GAGTTACGTAAGGAGA-1", "iM.data_GTTGCGGAGGGATGTC-1", "iM.data_GTCTTTAAGGACGGAG-1", "iM.data_CTCTCAGAGCACTCGC-1", "iM.data_GTAGCTAGTCTTCGAA-1", "iM.data_AGTTAGCAGGAAAGAC-1", "iM.data_TGGTGATAGCGTATAA-1", "iM.data_GGTAGAGTCGGTCGGT-1", "iM.data_TGTTGGACATACTGTG-1", "iM.data_CTACCTGGTTTCGTAG-1", "iM.data_GGTTCTCGTGTTAACC-1", "iM.data_ATCCACCGTCTCGGGT-1", "iM.data_CACTGAATCTATTTCG-1", "iM.data_ATCGGATGTATGTCTG-1", "iM.data_TCTATACGTTGTCAGT-1", "iM.data_CACTGGGAGGCAATGC-1", "iM.data_GTCGTAAAGGTCATCT-1", "iM.data_CACCGTTTCGTGGTAT-1", "iM.data_ACCATTTGTAACTAAG-1", "iM.data_CATCCGTTCAGCGCGT-1", "iM.data_TTTCCTCAGGTCGCCT-1", "iM.data_ACCGTTCAGCGAGTCA-1", "iM.data_TAGACCAGTACTGCGC-1", "iM.data_AGTCAACTCAAGAGTA-1", "iM.data_TTAGGCAGTTCGTAAC-1", "iM.data_ATCGATGAGAAGTGTT-1", "iM.data_GATTGGTAGAACTGAT-1", "iM.data_CAGCAGCCAGTGTGGA-1", "iM.data_ATCGTCCTCATCTGTT-1", "iM.data_TGAGCATGTCATCGCG-1", "iM.data_CCGGTAGAGCCTCTTC-1", "iM.data_TATACCTAGCGGTAAC-1", "iM.data_TTGGATGGTTCAGGTT-1", "iM.data_CTAAGTGCAGGGAGAG-1", "iM.data_TTCGGTCTCACTGGGC-1", "iM.data_CAAAGAAGTGTTAACC-1", "iM.data_TTGAGTGGTAGTCGTT-1", "iM.data_CATCGGGAGATTAGTG-1", "iM.data_TGCTCGTAGATGTTGA-1", "iM.data_GTGTTCCCAGTTGTCA-1", "iM.data_TTCCTAAAGTGGAAGA-1", "iM.data_TGAGGTTGTCTGTGAT-1", "iM.data_GTCATCCCAGAGACTG-1", "iM.data_CCTTGTGGTTCGTACA-1", "iM.data_ATTGTTCCAAGCTGTT-1", "iM.data_AAGTTCGTCGGCTTGG-1", "iM.data_TGTTCATAGATTGTGA-1", "iM.data_GAGGCAAAGTGCAACG-1", "iM.data_CGGAGAACACGTTCGG-1", "iM.data_GCGATCGAGATAGTGT-1", "iM.data_GTGGGAAGTGGTTCTA-1", "iM.data_TGGATCATCAGTGCGC-1", "iM.data_GGAATGGTCTGTTGGA-1", "iM.data_ACCATTTGTGTAACGG-1", "iM.data_TATTGGGTCGCCTATC-1", "iM.data_GTTTGGAGTTGGGACA-1", "iM.data_CTGATCCAGTATAACG-1", "iM.data_TCTCTGGGTACAACGG-1", "iM.data_TTTATGCTCAAGAAAC-1", "iM.data_GTCATGACATGCGTGC-1", "iM.data_AGGAGGTCAGATCCAT-1", "iM.data_GTTGTCCAGTCGAATA-1", "iM.data_CTGTGAAGTTGGACCC-1", "iM.data_ACTTTCAAGACGCTCC-1", "iM.data_TCACATTCAAAGCGTG-1", "iM.data_CGGAACCCACCCAATA-1", "iM.data_GTTGCTCTCGACGCGT-1", "iM.data_TCGATTTGTCCGGATC-1", "iM.data_ACTGTGATCGTAGCTA-1", "iM.data_CCAATGAGTGATCGTT-1", "iM.data_AACCAACAGTCTACCA-1", "iM.data_ACGTAGTTCGTCGACG-1", "iM.data_GGGATCCTCCGTGTGG-1", "iM.data_CTGCGAGGTCAGTCCG-1", "iM.data_TGCACGGCACAGTCCG-1", "iM.data_AACGAAATCGTTCGCT-1", "iM.data_TAGACCACATTATGCG-1", "iM.data_GTAACACGTCAAAGAT-1", "iM.data_CATCGTCCAGTTCTAG-1", "iM.data_GCCAGGTGTGCTTCAA-1", "iM.data_TATCCTAGTGGTCAAG-1", "iM.data_TAAGTCGGTCACTTAG-1", "iM.data_AGGTAGGGTTGCCAAT-1", "iM.data_GTCGAATCAATCAGCT-1", "iM.data_TGCTCGTTCAGAGCGA-1", "iM.data_CCGGACAAGGGTAGCT-1", "iM.data_ACAGCCGTCTATTGTC-1", "iM.data_TGCGACGCAGTGTATC-1", "iM.data_TTGCTGCGTCCCTAAA-1", "iM.data_CTCATTATCGACCACG-1", "iM.data_ACAGCCGCAGCGTATT-1", "iM.data_CAGATCAAGCTAGAGC-1", "iM.data_AGTTCGATCTCTTCAA-1", "iM.data_GACTATGCAGCTTCGG-1", "iM.data_GGTCTGGCACAGTCGC-1", "iM.data_ACTATTCAGCTATCTG-1", "iM.data_TCCGAAAGTCTACAGT-1", "iM.data_TCGACGGCATAACGGG-1", "iM.data_TGCTTCGTCCGCAACG-1", "iM.data_TATCCTAAGATAGGGA-1", "iM.data_GAAGCCCCAGACCAAG-1", "iM.data_GCCGTGAGTAATCAGA-1", "iM.data_CAAGGGATCTTCCGTG-1", "iM.data_ACCCTCATCGTAGGGA-1", "iM.data_GAGACTTTCTAGTACG-1", "iM.data_CATGCAAAGGTTACAA-1", "iM.data_GCACTAATCAGCTGTA-1", "iM.data_CAACCAAGTGATACAA-1", "iM.data_TCGGGACCATGCCATA-1", "iM.data_ATGGTTGAGCACACAG-1", "iM.data_TGAACGTAGCCAGTAG-1", "iM.data_TTGTTGTCAATGTTGC-1", "iM.data_AGTAGTCGTGCCAAGA-1", "iM.data_TTCTCTCGTGTATTGC-1", "iM.data_TCGCTCAGTTGTGTTG-1", "iM.data_CGGGTGTAGTGGTGGT-1", "iM.data_TCGTAGACACAAACGG-1", "iM.data_TGGGCTGGTTCATCTT-1", "iM.data_AGTAGTCGTCTTGCGG-1", "iM.data_TGATGCACAGCTCCTT-1", "iM.data_TACGCTCTCTGTGCGG-1", "iM.data_GGATGTTCATATTCGG-1", "iM.data_GAGTCTAGTAGATGTA-1", "iM.data_CTAAGTGGTGTCACAT-1", "iM.data_GATTCGAAGCGTGAGT-1", "iM.data_TCAGTTTAGTCGGCCT-1", "iM.data_GGCTGTGTCACCACAA-1", "iM.data_TGTAGACTCTTGCAGA-1", "iM.data_CCGTTCAGTGAAGCGT-1", "iM.data_CTCCCAACAACAAAGT-1", "iM.data_TCATTTGGTGAAAGTT-1", "iM.data_TAACTTCAGGATTTGA-1", "iM.data_TTGAGTGGTGTGTGTT-1", "iM.data_TTGCCTGAGATTGACA-1", "iM.data_TCTGGCTCATATGCGT-1", "iM.data_TACCGAAAGAGTCTTC-1", "iM.data_TTTACGTCAGAACTCT-1", "iM.data_TTGCATTTCCAGTGCG-1", "iM.data_CGGGTGTTCCGCGATG-1", "iM.data_GAAGTAATCGCCTAGG-1", "iM.data_ATGACCAAGATTGGGC-1", "iM.data_CCTCACATCGATACTG-1", "iM.data_GCCGTGATCTGGGCAC-1", "iM.data_AGAGCCCGTTGGTACT-1", "iM.data_GAGTGAGTCGGTGCAC-1", "iM.data_GTAGAGGTCCATATGG-1", "iM.data_ACTACGAAGTCGCCCA-1", "iM.data_GTGTCCTTCTAGTCAG-1", "iM.data_CCATAAGAGAGTTGTA-1", "iM.data_TATCTGTCAGTTTCGA-1", "iM.data_GGAAGTGTCATAGCAC-1", "iM.data_AGGCTGCGTCCTCCTA-1", "iM.data_TGAGACTTCTGTCCGT-1", "iM.data_GAGAAATCATCCGAGC-1", "iM.data_GTCCCATCATTACTCT-1", "iM.data_AGCGATTTCGATAACC-1", "iM.data_GTTCGCTAGAGATTCA-1", "iM.data_TAGATCGGTTGACTAC-1", "iM.data_TAATTCCGTAAGGTCG-1", "iM.data_ATGTCTTGTGATACCT-1", "iM.data_CTGTAGACAGATAAAC-1", "iM.data_GATGATCAGATGACCG-1", "iM.data_TGAGCATCATCGTGGC-1", "iM.data_ATCTCTAAGAGGGTGG-1", "iM.data_AGAACCTAGATGCCGA-1", "iM.data_GTAATGCGTTTAGTCG-1", "iM.data_CGTGTCTAGACTTCAC-1", "iM.data_CCCTCTCAGTAACGTA-1", "iM.data_GTAACCATCCCAGGCA-1", "iM.data_AGGACTTGTGCTTATG-1", "iM.data_AGGTGTTTCAGCTGTA-1", "iM.data_GATTGGTGTCCGAAGA-1", "iM.data_ATTCATCTCGCAATGT-1", "iM.data_CGAATTGGTTACCTGA-1", "iM.data_CCACAAACACTCGATA-1", "iM.data_CTAAGTGAGTTTCGGT-1", "iM.data_CTTCCGACAGAGGTTG-1", "iM.data_ATGGGAGGTATGAAAC-1", "iM.data_ACAGAAACAGAACTAA-1", "iM.data_CAGAGCCGTGATAGTA-1", "iM.data_TTGAGTGTCTGGCCTT-1", "iM.data_ATGGTTGAGATGAAGG-1", "iM.data_ACACGCGGTGTTAAAG-1", "iM.data_TGCGACGTCGTTCTCG-1", "iM.data_GAAGCCCAGTCCCGGT-1", "iM.data_ATTACCTTCTCTGGTC-1", "iM.data_CTAGGTACATCCAACA-1", "iM.data_CAACAACCACGACGTC-1", "iM.data_ATGGAGGGTCGTCATA-1", "iM.data_CGTGCTTTCCTCATAT-1", "iM.data_CTGGACGTCTGAGAGG-1", "iM.data_TCAGTCCCAAGGCCTC-1", "iM.data_AGTACTGCAAGAGTTA-1", "iM.data_AGATGAAAGGTAGATT-1", "iM.data_AGATGCTTCTATGTGG-1", "iM.data_TCCGGGAGTAGTTACC-1", "iM.data_AAACGCTAGGCTAGCA-1", "iM.data_AACGAAAGTCATCGCG-1", "iM.data_TTGGGTAGTCTACACA-1", "iM.data_GTCTGTCCACGACAGA-1", "iM.data_TCGGGACAGGACAGCT-1", "iM.data_TGCGGCAAGAGCAGCT-1", "iM.data_AAAGAACGTAGACACG-1", "iM.data_CCTAAGAGTGATCGTT-1", "iM.data_CCCGGAAGTTTCACAG-1", "iM.data_GAATCGTAGTGACACG-1", "iM.data_GAGTTTGGTCGTGCCA-1", "iM.data_GCGTTTCTCCCACAGG-1", "iM.data_GTGCTTCCACAATGCT-1", "iM.data_GGTTAACGTTCCCACT-1", "iM.data_TTTCATGGTATCGTTG-1", "iM.data_CTCTCGAAGTTGGCTT-1", "iM.data_CCACGTTAGGGTTAGC-1", "iM.data_ATCACAGAGGGTAATT-1", "iM.data_ATCGTGAGTTGAGAGC-1", "iM.data_CTCCATGAGTGAGTTA-1", "iM.data_CGATCGGGTCCAGGTC-1", "iM.data_TAAGTCGAGGATGAGA-1", "iM.data_AAGCGTTTCCAGTGTA-1", "iM.data_GGATCTAAGCAGGCAT-1", "iM.data_CAGTGCGTCTACTGCC-1", "iM.data_ACCATTTGTAGGGAGG-1", "iM.data_CATCGGGGTCCCGTGA-1", "iM.data_GTTACGACAGCAGTTT-1", "iM.data_GTTACGAGTCGGTGAA-1", "iM.data_AGGGCCTTCACAAGGG-1", "iM.data_AGCGATTGTCCAGCGT-1", "iM.data_AAAGTCCCAAGTGGTG-1", "iM.data_CAAGCTATCCACGTCT-1", "iM.data_TGATCTTGTTCGTAAC-1", "iM.data_GCGAGAATCTCCGATC-1", "iM.data_TAACTTCCATAGATGA-1", "iM.data_ACATCGAGTAGACTGG-1", "iM.data_AGAAATGAGTCAACAA-1", "iM.data_CCACCATGTGGTCTTA-1", "iM.data_TGCGACGGTATTAAGG-1", "iM.data_TATTTCGGTAATCAAG-1", "iM.data_CATCGCTGTCCGACGT-1", "iM.data_AAGAACACATGCACTA-1", "iM.data_ATCATTCTCATGGCCG-1", "iM.data_TTGCGTCCACGTCATA-1", "iM.data_CCTCATGTCAGCAATC-1", "iM.data_TCGCAGGAGCACCGTC-1", "iM.data_CGTGATAGTGGGAGAG-1", "iM.data_TGTTGAGTCTATCGTT-1", "iM.data_GTTCTATGTGCCAAGA-1", "iM.data_AATGGCTAGTCGGGAT-1", "iM.data_GTAGTACAGGTTATAG-1", "iM.data_GTGGAAGAGTCATAGA-1", "iM.data_GAAGCCCAGTATGACA-1", "iM.data_AAGACAATCAGGCGAA-1", "iM.data_CCAAGCGTCATAGACC-1", "iM.data_ACTATGGGTCAAATCC-1", "iM.data_CGTTAGAAGAGTTCGG-1", "iM.data_AATGACCGTAACCCGC-1", "iM.data_GCGTTTCGTGGCGCTT-1", "iM.data_TACGTCCTCTGCTAGA-1", "iM.data_TTTGATCGTAAGTTGA-1", "iM.data_ACAGCCGTCTAGTGTG-1", "iM.data_CCGGACACACCTTCGT-1", "iM.data_AGGAATATCGATACAC-1", "iM.data_TCGGATATCTGTACAG-1", "iM.data_CCTCAGTTCAGGCGAA-1", "iM.data_TCCTCCCCAAACGTGG-1", "iM.data_GGTTGTATCCTCACTG-1", "iM.data_GTAGTACAGAACTGAT-1", "iM.data_AAAGGGCGTTGGTGTT-1", "iM.data_CTGAATGCAGACCAAG-1", "iM.data_GACGTTAAGTTGGACG-1", "iM.data_GTTAGTGTCTCATGGA-1", "iM.data_ACGTAGTTCGTCAGAT-1", "iM.data_AGAGCAGAGGTCGTCC-1", "iM.data_GGTAATCGTGATATAG-1", "iM.data_CATTGTTAGGAAGTCC-1", "iM.data_CAGCCAGAGTGGAAGA-1", "iM.data_AGACAAAAGGTATAGT-1", "iM.data_TACACCCAGATTGGGC-1", "iM.data_CGGAACCCAGCTTTGA-1", "iM.data_CGAGAAGTCCACTAGA-1", "iM.data_GTGATGTCATACTGTG-1", "iM.data_TGGTAGTAGAGGGTAA-1", "iM.data_ATTCTACAGAGCAAGA-1", "iM.data_GAACGTTGTCGGTAAG-1", "iM.data_ACCACAAAGTATGGAT-1", "iM.data_ATGTCTTGTCAAGCGA-1", "iM.data_GGAGGATAGATACTGA-1", "iM.data_TGTTCTAGTCGGTAAG-1", "iM.data_CTCGAGGCATTGCTGA-1", "iM.data_AACAAGAAGAGAGCCT-1", "iM.data_ATCGGCGCAGCGGTCT-1", "iM.data_ACGTAGTGTGAATTGA-1", "iM.data_ATGAGGGTCTATTCGT-1", "iM.data_GCCAGCAAGTATGCAA-1", "iM.data_GTCATGATCACCTGTC-1", "iM.data_CCGGGTATCATCGGGC-1", "iM.data_GTTACGAGTTGTATGC-1", "iM.data_TCCTTCTAGATAGGGA-1", "iM.data_TACTTGTTCTGTCCCA-1", "iM.data_GAGCCTGGTACTCGAT-1", "iM.data_GACAGCCTCCTTTGAT-1", "iM.data_CTGGTCTGTACGATTC-1", "iM.data_TGTGATGCAGGCTACC-1", "iM.data_CCGTGAGCAATACGCT-1", "iM.data_GTCAAGTAGAAGGATG-1", "iM.data_TTTGTTGGTTTGGGAG-1", "iM.data_AAACGCTGTGATGTAA-1", "iM.data_GTCATCCAGTTGCGCC-1", "iM.data_CAGTTAGGTTGTACGT-1", "iM.data_CACGGGTTCGGCGATC-1", "iM.data_GAAATGACACGCGTGT-1", "iM.data_TTGAACGTCCGCGATG-1", "iM.data_GTGTAACAGATTAGTG-1", "iM.data_CTCAATTTCGGTCTAA-1", "iM.data_CACGGGTGTAACTGCT-1", "iM.data_ACCATTTAGGGCTTCC-1", "iM.data_TTGTTCAGTAGGTAGC-1", "iM.data_TGAGGAGCAGTGTGGA-1", "iM.data_TTTCGATTCTGATGGT-1", "iM.data_GTATTTCGTTACCGTA-1", "iM.data_GACGCTGGTAACGGTG-1", "iM.data_ATCCTATTCTGCATAG-1", "iM.data_GAAGCCCCAACCCGCA-1", "iM.data_TCATTCAAGTACCGGA-1", "iM.data_ACTTCCGAGAGATGCC-1", "iM.data_ACGTTCCCAATCGCGC-1", "iM.data_CTTCAATCATTCAGGT-1", "iM.data_CCCTAACAGCCTGTCG-1", "iM.data_CTGGCAGGTCATCGGC-1", "iM.data_TTACTGTCAAAGGCGT-1", "iM.data_GGAAGTGGTTCAAGTC-1", "iM.data_CTTTCAAAGAAGGGAT-1", "iM.data_TGCTCGTAGGGTGGGA-1", "iM.data_AGGGAGTAGCTGAGTG-1", "iM.data_CGGAACCGTTTAGAGA-1", "iM.data_AACTTCTGTAGCACAG-1", "iM.data_CCCGAAGCAAGATGTA-1", "iM.data_GTCACTCGTCAACATC-1", "iM.data_TGCATGACAAGACCTT-1", "iM.data_CAGTGCGCAAGTGGGT-1", "iM.data_CTGGCAGGTGCTTATG-1", "iM.data_ATGAGGGCAGCAGTAG-1", "iM.data_TACAGGTAGACATGCG-1", "iM.data_ACAGAAACATGACGAG-1", "iM.data_GATCAGTCAATTTCGG-1", "iM.data_CATCGGGTCGGTCTGG-1", "iM.data_ACCAACAAGGAATCGC-1", "iM.data_GTCTACCAGTGGACTG-1", "iM.data_CACTGAACAGCTTCCT-1", "iM.data_TGGTTAGGTGTGAGCA-1", "iM.data_GTCACGGCATGTGACT-1", "iM.data_GCAGCTGTCACCTCTG-1", "iM.data_CGGAATTGTTCGGCTG-1", "iM.data_GCCAGTGAGGATGAGA-1", "iM.data_ATAGAGAGTAATCAAG-1", "iM.data_GTCATCCGTGTGAATA-1", "iM.data_CCGGTGACATTCCTCG-1", "iM.data_CCGGTGAGTCAGCGTC-1", "iM.data_GCCAGCAGTGAGATAT-1", "iM.data_GGTTAACGTCGTGGTC-1", "iM.data_GCTCAAAAGTGCAAAT-1", "iM.data_GTTGTCCCAAGTGGGT-1", "iM.data_CCGGTGACAGTTGCGC-1", "iM.data_ACACCAACAAGACGAC-1", "iM.data_CTATAGGGTCGACGCT-1", "iM.data_GACTGATGTAGCCCTG-1", "iM.data_GGGAAGTTCTGGCCTT-1", "iM.data_TGGGCGTCAGTTAGAA-1", "iM.data_CACTGGGTCCGCGATG-1", "iM.data_AAGGTAAGTTATGTCG-1", "iM.data_AAGTCGTTCGACTCCT-1", "iM.data_CTAGGTAAGGATATAC-1", "iM.data_AAGACTCCAGTCGCTG-1", "iM.data_GGTGTTATCTCGGCTT-1", "iM.data_GTCCCATAGCCTCTTC-1", "iM.data_ACGTTCCCACATATCG-1", "iM.data_TAACTTCAGGAGTATT-1", "iM.data_TGGGAGACAATAGTAG-1", "iM.data_CATACAGTCGGTCTAA-1", "iM.data_CAGCACGCATCATCTT-1", "iM.data_TGTTCTATCTAGTGTG-1", "iM.data_AACCTGAAGCGAGGAG-1", "iM.data_GAGAAATTCTCGAGTA-1", "iM.data_CTTCTAAGTGCCTATA-1", "iM.data_CCAAGCGCACTATGTG-1", "iM.data_TGTTTGTTCCTCCACA-1", "iM.data_TGGTTAGGTACAGCGA-1", "iM.data_CATACTTGTGTTAACC-1", "iM.data_CTACAGAAGAACAGGA-1", "iM.data_GTTCATTTCTTTCGAT-1", "iM.data_GAGGGTATCTCCCAAC-1", "iM.data_CCTAAGATCCACGTCT-1", "iM.data_GGTGTCGTCACGAACT-1", "iM.data_CAAGCTACAGAGCTAG-1", "iM.data_GAGTTTGCAGTCCCGA-1", "iM.data_GCATTAGCAGGGATAC-1", "iM.data_GCATCGGCACGACCTG-1", "iM.data_TTGGGATAGCGACCCT-1", "iM.data_AGGTTGTAGGGTACGT-1", "iM.data_TCGAAGTAGTGCCTCG-1", "iM.data_AGGTTACAGTAACGTA-1", "iM.data_GAATCGTTCGCTCCTA-1", "iM.data_ACGGTCGCAAGCACAG-1", "iM.data_ATTGGGTGTGGTCTGC-1", "iM.data_TGAGTCAGTAAGTCAA-1", "iM.data_TTACGTTAGGCCTAGA-1", "iM.data_CATCCACCATGGGTCC-1", "iM.data_CATTGCCTCTCGCTCA-1", "iM.data_AACCCAACACCTCGTT-1", "iM.data_CTTGATTGTCTTTCAT-1", "iM.data_GCCATGGTCGGAGTGA-1", "iM.data_CTGAGCGCAATAACCC-1", "iM.data_CTATAGGAGTACGAGC-1", "iM.data_CTGCGAGAGACAACAT-1", "iM.data_CTGTAGATCTCATTGT-1", "iM.data_GCTTGGGTCTATACGG-1", "iM.data_TATTGCTGTAAGTTGA-1", "iM.data_AATCACGTCTATTCGT-1", "iM.data_GACCGTGAGGACTGGT-1", "iM.data_TGGGAGACAAATGGAT-1", "iM.data_TCAGTGAAGGATCATA-1", "iM.data_CTCATTAAGTGATTCC-1", "iM.data_GGGATGAGTGTCGATT-1", "iM.data_CGTAGTATCTGCACCT-1", "iM.data_GGTCACGGTAATGCTC-1", "iM.data_TTTATGCGTATACCCA-1", "iM.data_GATGGAGCACCTGCTT-1", "iM.data_GGGTGAATCCAGTGCG-1", "iM.data_TCACTCGTCTACACTT-1", "iM.data_ACCGTTCAGGATTACA-1", "iM.data_GCGTGCACACAGAGAC-1", "iM.data_GGGATCCGTGTTCGTA-1", "iM.data_GCATCTCAGGAATGTT-1", "iM.data_GATAGAAGTCAAAGTA-1", "iM.data_AGCGTATAGCACTAGG-1", "iM.data_TAAGCACTCGTGTGGC-1", "iM.data_AGGTCATTCGAAGAAT-1", "iM.data_GTTATGGAGCAGGCAT-1", "iM.data_AATGCCAGTGTGATGG-1", "iM.data_TGCATGATCGCAGTGC-1", "iM.data_CACTGGGGTGGAAATT-1", "iM.data_CAAAGAAAGGCTTAGG-1", "iM.data_AGCGTATCATGGAAGC-1", "iM.data_GTTCGCTAGCGTCAAG-1", "iM.data_TCGCTCAAGGCTTAGG-1", "iM.data_TGCGGGTTCGTGACTA-1", "iM.data_GGCTTTCAGGTCGTAG-1", "iM.data_ACTTATCAGTGGAAGA-1", "iM.data_GTCATTTGTGACTAAA-1", "iM.data_CTAACCCCATGAAGGC-1", "iM.data_TTCACCGGTCGTATTG-1", "iM.data_GATTTCTGTGCCTGCA-1", "iM.data_TGCCGAGCAACCACAT-1", "iM.data_CTACGGGCATGCCGCA-1", "iM.data_TGGGTTAAGTGATAAC-1", "iM.data_GACATCAGTCGGATTT-1", "iM.data_TGGGCGTCAAGTGTCT-1", "iM.data_TGCAGTATCATTACTC-1", "iM.data_AGGATCTAGTGGTTGG-1", "iM.data_ATAGAGATCAGCTTGA-1", "iM.data_TGCTGAATCTACCAGA-1", "iM.data_CGAATTGAGAGTTGTA-1", "iM.data_GTTGCGGTCAGGTAAA-1", "iM.data_TGGAGAGAGAGGGTAA-1", "iM.data_GGACGTCTCCATTCAT-1", "iM.data_TCTTTGAAGAAGCGAA-1", "iM.data_CTTCTAAAGACTGAGC-1", "iM.data_CACTGGGAGGTACTGG-1", "iM.data_TAGCACAAGGATATGT-1", "iM.data_TGTGTGAAGATGGTCG-1", "iM.data_GCTTGGGCAATTGCGT-1", "iM.data_AATGACCGTTGCCGAC-1", "iM.data_CCGTAGGAGGAATGTT-1", "iM.data_TGTCAGAGTAGCTTGT-1", "iM.data_CATCCGTAGGTTACAA-1", "iM.data_GTTGCGGAGTAGACCG-1", "iM.data_CTCAAGAGTTGGACTT-1", "iM.data_CCTCACATCACCTTAT-1", "iM.data_GAAGGACAGTGTCATC-1", "iM.data_GTGTTCCCAACGGCCT-1", "iM.data_TAGGTACGTATGCAAA-1", "iM.data_ATTCCATGTCTCAAGT-1", "iM.data_GTGAGTTTCTCGTTTA-1", "iM.data_TGATGGTGTATTCCTT-1", "iM.data_GTGGCGTGTGGATACG-1", "iM.data_TGTCAGAAGCACAAAT-1", "iM.data_TGATTCTGTTGCAACT-1", "iM.data_AGTAGTCTCGAGTTGT-1", "iM.data_CCTGCATGTACAGTTC-1", "iM.data_TTTGGTTCATGTCGTA-1", "iM.data_GTTACAGGTTGCATAC-1", "iM.data_GAAGAATCAATCCTAG-1", "iM.data_GTAGAAAAGGTCTTTG-1", "iM.data_AATCACGTCTTCCTAA-1", "iM.data_TTCATTGAGAATCGCG-1", "iM.data_TGATTCTGTCGTCGGT-1", "iM.data_AGCGCCACATTGACCA-1", "iM.data_TGCCGAGTCTGGCCTT-1", "iM.data_TGTTTGTGTCCCTAAA-1", "iM.data_TAACTTCGTATCTCTT-1", "iM.data_TTCTTCCGTCCTACGG-1", "iM.data_TAAGTCGCATGGAACG-1", "iM.data_TGTTCCGTCTACTGAG-1", "iM.data_CGTGAATAGTAATACG-1", "iM.data_TACGCTCGTATGCTTG-1", "iM.data_ACTTTCACACACCTGG-1", "iM.data_CTTTCGGGTGTATTGC-1", "iM.data_AGTCAACGTCGTGGAA-1", "iM.data_GTCACGGGTGTGGTCC-1", "iM.data_TCTTCCTCAGAGGCTA-1", "iM.data_TCTATCAAGCTCTATG-1", "iM.data_CAGATACTCGTGGCTG-1", "iM.data_GTACAGTGTAACGATA-1", "iM.data_AACAGGGAGACTCTTG-1", "iM.data_AGCGTATGTTGATGTC-1", "iM.data_GAGACTTCATTGTGCA-1", "iM.data_TCTGCCAGTCTGTGTA-1", "iM.data_AAGTGAAGTGTGATGG-1", "iM.data_ACGATCAAGTCTGCAT-1", "iM.data_CTCCACAGTCACTGAT-1", "iM.data_GGGCTCACAATTGCGT-1", "iM.data_GGAAGTGGTTAGGGTG-1", "iM.data_TCAATCTCAGCGGATA-1", "iM.data_CTACGGGGTTTAGAGA-1", "iM.data_TCTACCGCAACTTCTT-1", "iM.data_GCCTGTTGTTCGGTCG-1", "iM.data_TTGTGGAGTGAATGAT-1", "iM.data_ACCCAAAAGTGGACGT-1", "iM.data_ACTTCGCGTTGCCAAT-1", "iM.data_AGTACCAAGGGTTTCT-1", "iM.data_TGGTGATTCGCTGATA-1", "iM.data_TTCAGGAAGTCATACC-1", "iM.data_CATCAAGCATTGACTG-1", "iM.data_GACTATGAGTGATCGG-1", "iM.data_ATCCGTCCAGGAACCA-1", "iM.data_GAATAGAGTGGAAGTC-1", "iM.data_ACCCTTGTCATCGCCT-1", "iM.data_TATTGGGGTTGAGAGC-1", "iM.data_CCCGGAATCTATTGTC-1", "iM.data_TTCCTAACAGCGTATT-1", "iM.data_ATCAGGTTCGTGAGAG-1", "iM.data_GTCACGGTCCCATACC-1", "iM.data_CTGTGGGGTGTTCGTA-1", "iM.data_CAAGGGAAGAGCAAGA-1", "iM.data_GAATAGACAGACAAAT-1", "iM.data_CGGGTCAGTATCACCA-1", "iM.data_GTTAGACTCACAATGC-1", "iM.data_ATGAGGGAGTTACGAA-1", "iM.data_AGTACTGAGGGCCTCT-1", "iM.data_GATCGTAGTATTGACC-1", "iM.data_AGGTAGGTCAACGCTA-1", "iM.data_GAATCGTTCGCAGTTA-1", "iM.data_TGACAGTAGAGTTGAT-1", "iM.data_TCATTGTCAACTTGCA-1", "iM.data_CATCGTCGTTGTAAAG-1", "iM.data_TACCCGTTCTGCCTGT-1", "iM.data_CACCGTTAGACGGAAA-1", "iM.data_ACAACCAGTGAGACGT-1", "iM.data_AAAGTGAGTTCAAAGA-1", "iM.data_AAAGGGCGTCTACATG-1", "iM.data_TATACCTAGACGTCCC-1", "iM.data_GCTACCTTCAAGCTGT-1", "iM.data_TCTAACTTCAAGAATG-1", "iM.data_ACGCACGTCTAGTGTG-1", "iM.data_CAAGGGATCCACGTCT-1", "iM.data_CTGCATCGTCCGCAGT-1", "iM.data_AGGTTACCAGAAATTG-1", "iM.data_AGCGCTGTCTGAGAGG-1", "iM.data_CTCTGGTCAAGAGTGC-1", "iM.data_CGTAAGTTCATTTGTC-1", "iM.data_TCAATTCTCGGCATAT-1", "iM.data_CTAACTTAGCAAGTGC-1", "iM.data_AAAGTCCAGCCATATC-1", "iM.data_CTCATCGGTGTGTGTT-1", "iM.data_CTAGACAAGATGTTAG-1", "iM.data_ACGTACAGTAGATTGA-1", "iM.data_ATTCTACAGCGATGGT-1", "iM.data_CGCATAACAAGTGGAC-1", "iM.data_GCCATTCGTACGAAAT-1", "iM.data_ATGGGAGGTTAAACCC-1", "iM.data_AAGGAATGTGGAAATT-1", "iM.data_GGAGGTATCTAGCCTC-1", "iM.data_TTTCACATCGGAACTT-1", "iM.data_GTGGGAAGTCGGATTT-1", "iM.data_CTGGCAGAGGTTATAG-1", "iM.data_GCTACCTGTGGGAGAG-1", "iM.data_TGGTGATTCCATTGGA-1", "iM.data_TATCTTGCAATGCTCA-1", "iM.data_GATAGCTAGTGTTGTC-1", "iM.data_ACTTCGCGTTCTCCCA-1", "iM.data_GGGATCCGTCCTGGTG-1", "iM.data_CCACGTTCAAGACCTT-1", "iM.data_GTGGTTATCGTGCGAC-1", "iM.data_CGAGTGCTCCGATCGG-1", "iM.data_TCTGCCAGTCAACATC-1", "iM.data_GGGTGAATCAGACAAA-1", "iM.data_CTCGAGGAGGGCTGAT-1", "iM.data_AGTGATCGTCGTTGGC-1", "iM.data_CACTAAGTCAGCAGAG-1", "iM.data_AACCATGAGTTGCGCC-1", "iM.data_ATCGTCCTCGCCAATA-1", "iM.data_GGGCTACTCTAACGGT-1", "iM.data_CGTAGTACAAGGAGTC-1", "iM.data_CACTAAGGTAGAGTTA-1", "iM.data_GGGCGTTGTTGTAAAG-1", "iM.data_TTTCACAGTTATCCAG-1", "iM.data_TTTGGTTCACCAGCGT-1", "iM.data_GTTATGGAGTTAGAAC-1", "iM.data_GTTTGGAAGGCATTTC-1", "iM.data_TTGCTGCAGACCCGCT-1", "iM.data_TTCGATTGTAAGGCTG-1", "iM.data_ATGCATGTCCTGGGAC-1", "iM.data_GAAGGACGTTAAGGGC-1", "iM.data_CGAAGTTTCTCACGAA-1", "iM.data_GTGAGGATCGTCTCAC-1", "iM.data_GAATAGATCCGTGTGG-1", "iM.data_TGTGTGAGTTCTTAGG-1", "iM.data_TCTCCGACAAACTCGT-1", "iM.data_CTCTGGTCACGACAAG-1", "iM.data_TACCTGCTCCTAAGTG-1", "iM.data_CATAAGCAGGCCTGCT-1", "iM.data_TTCCTAAGTCGGCACT-1", "iM.data_TCGAACACACGTCGGT-1", "iM.data_GCCAGCAGTGTTAGCT-1", "iM.data_CCCATTGAGGTCGTGA-1", "iM.data_GGGCGTTAGAGCTGAC-1", "iM.data_GAGATGGGTCAACCAT-1", "iM.data_GCAACATAGCCATTGT-1", "iM.data_TGGTACAGTACTGACT-1", "iM.data_CAGTGCGTCAGCTTGA-1", "iM.data_CGGCAGTGTGACGCCT-1", "iM.data_TTGCGTCTCCAAGGGA-1", "iM.data_GCACGGTCAGCCCAGT-1", "iM.data_TAGTGCAAGCTAGAGC-1", "iM.data_GCAGCCAGTAGGACCA-1", "iM.data_GAGGGTATCCACAGCG-1", "iM.data_GGTAACTGTCGTCAGC-1", "iM.data_GATCAGTCAGAGGACT-1", "iM.data_CTCATTAGTGGCTCTG-1", "iM.data_ATCAGGTGTTTGTTGG-1", "iM.data_TGAATCGCAGGGCTTC-1", "iM.data_GAGACTTAGGCCACCT-1", "iM.data_TACCTGCAGGATATAC-1", "iM.data_TTCGATTGTTGCGTAT-1", "iM.data_GGGAAGTGTACTCCGG-1", "iM.data_GGAGGATAGTTCTACG-1", "iM.data_AAAGAACAGAGAATCT-1", "iM.data_TACATTCGTCCTGGGT-1", "iM.data_TTTACTGGTCACCGCA-1", "iM.data_AGTAGCTCACATGGTT-1", "iM.data_GTCCCATCATAACTCG-1", "iM.data_TACTTACCAGGTTCGC-1", "iM.data_GTGCAGCAGACCTGGA-1", "iM.data_CATTCATGTCGGTGTC-1", "iM.data_GGGAAGTTCTAGAACC-1", "iM.data_TGTGATGAGAAACTAC-1", "iM.data_GTGTCCTGTATCGGTT-1", "iM.data_GGATCTAGTAACATGA-1", "iM.data_ACTGTCCAGTGGGAAA-1", "iM.data_AGAAGCGGTAGACGTG-1", "iM.data_GAAGCGATCTCTTAAC-1", "iM.data_GCAGGCTGTGACTAAA-1", "iM.data_TCTGCCACATAGGTAA-1", "iM.data_TTTCAGTTCTCTGAGA-1", "iM.data_GACTCTCAGTACGTCT-1", "iM.data_GGCGTCACAAATCGGG-1", "iM.data_TTTACTGAGTTGAATG-1", "iM.data_TATTGGGTCCGCGAGT-1", "iM.data_TCACTATGTACGACAG-1", "iM.data_GTAGCTAAGTCTGCGC-1", "iM.data_GGAGGTACAATTGCCA-1", "iM.data_CGCATGGGTACGTGTT-1", "iM.data_GATTCTTAGGTCCCGT-1", "iM.data_AGCGTATAGTCTTGGT-1", "iM.data_AGACAAAAGAGTCTTC-1", "iM.data_CTATCCGAGTGATAGT-1", "iM.data_TTAGTCTGTTGGGCCT-1", "iM.data_AGATAGAAGGCGAACT-1", "iM.data_ATTCAGGCAGGGAATC-1", "iM.data_AGTCACATCAGGACGA-1", "iM.data_CTAACTTAGTAGATCA-1", "iM.data_TTGGGATGTGCTCTCT-1", "iM.data_GTTATGGGTCGGCCTA-1", "iM.data_AGCATCACATCTGCGG-1", "iM.data_GCAGCCAAGCCTTTGA-1", "iM.data_CGAGAAGAGTTGAAGT-1", "iM.data_CCACTTGGTGTCATTG-1", "iM.data_GTGGAAGCATCCAATG-1", "iM.data_GGTAGAGAGTTGCGCC-1", "iM.data_AGGTAGGGTGATGTAA-1", "iM.data_CGGAATTTCAGGAAGC-1", "iM.data_AACCTTTGTGTGTTTG-1", "iM.data_AAGTACCTCGTGTGGC-1", "iM.data_GTTCGCTGTGTTCAGT-1", "iM.data_GTGTTAGCAGTGTACT-1", "iM.data_GCTTCACTCAGCGCAC-1", "iM.data_TGAGTCACATCGGCCA-1", "iM.data_CAATACGGTATTGCCA-1", "iM.data_TCGCAGGGTTCCTTGC-1", "iM.data_CAAGGGATCCTAAACG-1", "iM.data_CTACCCATCAGCATTG-1", "iM.data_GTCTGTCGTTGGTAGG-1", "iM.data_CTGGTCTCATACCAGT-1", "iM.data_CTAACTTTCATGAGTC-1", "iM.data_TGGAGGACACAACGTT-1", "iM.data_CTCTCGACAGTTGGTT-1", "iM.data_GTTGCTCTCTCTCTTC-1", "iM.data_ACACTGACAAGTTTGC-1", "iM.data_CTATCCGAGTGCCAGA-1", "iM.data_CCATCACAGGTTAGTA-1", "iM.data_GCGTTTCCAACAGAGC-1", "iM.data_CATCCGTGTGTACGCC-1", "iM.data_GTTGAACTCGGCATTA-1", "iM.data_GTCAGCGTCCTAGAGT-1", "iM.data_GGTTGTAGTAGGTAGC-1", "iM.data_GATCACAAGAAAGCGA-1", "iM.data_AGACCCGAGTCGCCAC-1", "iM.data_GTCTGTCGTGATTAGA-1", "iM.data_CCCGGAAGTATGCTAC-1", "iM.data_TGAGGTTGTATCCCTC-1", "iM.data_GCAACCGAGTGAGGTC-1", "iM.data_AAAGAACCAGCGTGAA-1", "iM.data_AATTTCCAGGTTCACT-1", "iM.data_TTGCTGCTCGATTTCT-1", "iM.data_TTGTGGATCTGCGGAC-1", "iM.data_GGCTTGGAGCACTAAA-1", "iM.data_GGGATCCAGTGCACAG-1", "iM.data_CAACAGTCAATCTGCA-1", "iM.data_TCTATCAAGAGTGGCT-1", "iM.data_TCTAACTAGGTGCTAG-1", "iM.data_CATTCTATCCTGTACC-1", "iM.data_AAGCGTTAGGGTGAAA-1", "iM.data_GTTGTAGAGTGAGTGC-1", "iM.data_TGAGTCAGTCGAAACG-1", "iM.data_CAAAGAACATCGTTCC-1", "iM.data_GTATTTCTCGGAGTGA-1", "iM.data_AATCACGGTTCTCCCA-1", "iM.data_CATAGACCAGCATGCC-1", "iM.data_TACCTGCTCATGAGAA-1", "iM.data_CTGCAGGGTGCCTGCA-1", "iM.data_TATTTCGCAAGGACAC-1", "iM.data_TCATTACGTTTCGTTT-1", "iM.data_AGCGTATGTACGTGAG-1", "iM.data_GTCCACTAGTTTGGCT-1", "iM.data_TTACCGCTCGCCGAGT-1", "iM.data_TGCGACGAGGTGCATG-1", "iM.data_TCACATTTCGATGCTA-1", "iM.data_TGTGTGACATGTGGCC-1", "iM.data_TTCCACGGTTAACCTG-1", "iM.data_ACAGAAAAGATGAAGG-1", "iM.data_TCGTAGACACCGAATT-1", "iM.data_TGTGGCGGTTAAACAG-1", "iM.data_TGTTCTAGTTTGTTGG-1", "iM.data_CCTAACCTCGAAGTGG-1", "iM.data_CGGGTGTGTGCACATT-1", "iM.data_CCACAAAAGTAGGCCA-1", "iM.data_AGAGCAGAGACGGTTG-1", "iM.data_GTTACCCCACGGCCAT-1", "iM.data_GTACAACGTGCCGGTT-1", "iM.data_GTCCCATTCGTCGCTT-1", "iM.data_AATCGACCAACCGGAA-1", "iM.data_CCTCTAGCATGAAGCG-1", "iM.data_AGTAGTCTCAGGCGAA-1", "iM.data_GACCCTTCACAACATC-1", "iM.data_AGGATAAAGAGACAAG-1", "iM.data_TTAGTCTGTACTGGGA-1", "iM.data_TCTCACGGTACACGTT-1", "iM.data_GTCATCCGTATAGGGC-1", "iM.data_AGGATCTGTTGGCCGT-1", "iM.data_TCTATCATCCTTCTAA-1", "iM.data_ACACGCGAGTAAACAC-1", "iM.data_TCCACCAGTGGAATGC-1", "iM.data_AACCTTTTCTTGCGCT-1", "iM.data_GTCATCCAGCCGTTGC-1", "iM.data_CGAATTGCAAGTCGTT-1", "iM.data_CGTAATGCACACTTAG-1", "iM.data_TCGCAGGGTCGAGCTC-1", "iM.data_GGGTGTCCAATAGGAT-1", "iM.data_TATCCTATCCGCGGAT-1", "iM.data_TGCGACGTCTATACGG-1", "iM.data_TGTAGACTCGTAACTG-1", "iM.data_GCAACCGGTGCGACAA-1", "iM.data_GTAACACGTCTTCTAT-1", "iM.data_AAAGGTAGTGTGTTTG-1", "iM.data_TCGGATAGTTGCTCGG-1", "iM.data_CACTGAACATCGATGT-1", "iM.data_CATCGCTCAAAGGCGT-1", "iM.data_CATGGATAGCGCCGTT-1", "iM.data_AAAGGTAGTGACCTGC-1", "iM.data_TCCTTTCGTTCAAGGG-1", "iM.data_GGGAGTACAGTCGCTG-1", "iM.data_TCACAAGTCCGGTAAT-1", "iM.data_AAGACTCGTTTAGACC-1", "iM.data_CCTCAACCACTAGAGG-1", "iM.data_AGTCTCCGTAGTCTTG-1", "iM.data_TTGGTTTTCACAAGAA-1", "iM.data_TTGAGTGGTTGCGAAG-1", "iM.data_TAGTGCATCCGTGGTG-1", "iM.data_TGAACGTGTGTATTGC-1", "iM.data_TTTACGTCATCCTTGC-1", "iM.data_TGATTCTAGGTAAACT-1", "iM.data_TGTTCCGGTATAGGGC-1", "iM.data_AACGGGATCTCGCTCA-1", "iM.data_GGAGGATTCCAGTGTA-1", "iM.data_TCGATTTCACTAGGTT-1", "iM.data_TTTCATGCAGTTACCA-1", "iM.data_CCCTAACAGGTTAAAC-1", "iM.data_GCATCTCAGGTCACAG-1", "iM.data_GCCATTCAGGTACTGG-1", "iM.data_CATTCTATCTGGGTCG-1", "iM.data_TTCCTCTCATCGGAGA-1", "iM.data_ACCTGTCGTGGCTTAT-1", "iM.data_AGACCATGTAGCGAGT-1", "iM.data_CTGGCAGGTCCCTCAT-1", "iM.data_TGTCAGATCAGACAAA-1", "iM.data_CATTCCGTCCGATGTA-1", "iM.data_CTTCCGAAGTTCACTG-1", "iM.data_AGTTCGACACCTTCGT-1", "iM.data_GCACGTGAGGTTGAGC-1", "iM.data_ATCGGATCAACTGAAA-1", "iM.data_AGGATCTAGGTTCTTG-1", "iM.data_GGCTTTCGTACCTATG-1", "iM.data_GAATCGTTCATTACGG-1", "iM.data_TGCTCCAAGGACTAAT-1", "iM.data_GCCCGAATCAAGGACG-1", "iM.data_AGGAAATAGAGTTGAT-1", "iM.data_TATTTCGAGAGAAGGT-1", "iM.data_CATTCATGTTTGTGGT-1", "iM.data_TAGGGTTGTACGTACT-1", "iM.data_ATCCGTCGTAGGTAGC-1", "iM.data_CCAATGAAGAAACTAC-1", "iM.data_GGGACTCGTCAAAGTA-1", "iM.data_GTGCAGCGTGATTGGG-1", "iM.data_ACAAGCTTCTCTGCCA-1", "iM.data_ACCTGAATCGAGATGG-1", "iM.data_ATCACTTAGTAGTCCT-1", "iM.data_ATCGCCTAGAGCGACT-1", "iM.data_CTTCTCTCAGTCTGGC-1", "iM.data_CGGGTGTCACGTAGAG-1", "iM.data_GCATCGGGTGCGGTAA-1", "iM.data_TGCAGGCGTAGTCTTG-1", "iM.data_TTCAATCGTAGGCAGT-1", "iM.data_GTAATCGGTTACCTGA-1", "iM.data_GGAAGTGCATAATCGC-1", "iM.data_CTGTAGACACTTCTCG-1", "iM.data_GGGCGTTGTCCTCCAT-1", "iM.data_GTGAGGAAGACCGTTT-1", "iM.data_CTTCAATCAAGACCGA-1", "iM.data_CTTCCTTGTGCCGTTG-1", "iM.data_CTATCCGTCCTGTTAT-1", "iM.data_AGATAGAAGCGATCGA-1", "iM.data_TTCGGTCCATTGCCTC-1", "iM.data_TGAGGGACAACCGTAT-1", "iM.data_CTATCTAGTTCGGTCG-1", "iM.data_GATGACTAGCAGTACG-1", "iM.data_CTGCATCCACCGGCTA-1", "iM.data_AGCTACATCCCTGGTT-1", "iM.data_AGCTTCCTCAACTGGT-1", "iM.data_CGGGACTAGCAATTCC-1", "iM.data_CATAGACGTACGCTTA-1", "iM.data_GTCTAGAGTCGCATCG-1", "iM.data_CTCCAACGTGATTAGA-1", "iM.data_GCGTGCAAGTAGCATA-1", "iM.data_CCCGGAATCCATACAG-1", "iM.data_TGGGTTAGTAGCTAAA-1", "iM.data_ATCACTTGTCGTAATC-1", "iM.data_TGAGGAGAGCGTTCAT-1", "iM.data_TGTGAGTGTCATCCCT-1", "iM.data_TTTGACTCATTCTGTT-1", "iM.data_TCGGGTGCACTTGGGC-1", "iM.data_AACGTCAGTGTGGACA-1", "iM.data_CACTGGGCATGTTTGG-1", "iM.data_GTAGAAAGTATCGTGT-1", "iM.data_CACTTCGAGAAATGGG-1", "iM.data_TGAACGTCAAGTGGAC-1", "iM.data_CCGAACGCAGCAAGAC-1", "iM.data_GGGATGAAGTATGACA-1", "iM.data_CGGGACTGTACGACAG-1", "iM.data_TCATTGTAGCGGGTAT-1", "iM.data_CTTCTAAAGCCTCATA-1", "iM.data_AGGGTGACACGTGTGC-1", "iM.data_GTGCGTGCACCTGATA-1", "iM.data_GTGGCGTCACGGGTAA-1", "iM.data_AGGTCTAGTGGCTCTG-1", "iM.data_TTGCGTCTCCTTCGAC-1", "iM.data_CTCACTGAGCTGTTCA-1", "iM.data_GAGGGTATCCTGGGTG-1", "iM.data_CTTGATTCATGCCGGT-1", "iM.data_CTTCTCTCAACGATCT-1", "iM.data_TCACGCTTCTACGGGC-1", "iM.data_AATGAAGGTCCCTGTT-1", "iM.data_ACATCGATCTGAGGTT-1", "iM.data_CATCCGTTCGGTAACT-1", "iM.data_CGCCATTAGGTATAGT-1", "iM.data_GTGTCCTCAAGGTTGG-1", "iM.data_GATTCTTCACGATAGG-1", "iM.data_GTAGTACGTGGGCTTC-1", "iM.data_GTGAGTTTCGCAGTTA-1", "iM.data_TACAACGAGCTCTATG-1", "iM.data_TTAGGCAGTTGACGGA-1", "iM.data_AGTACCAGTACGCGTC-1", "iM.data_GTAACCAAGTTGAAAC-1", "iM.data_TCCACGTAGGAACGCT-1", "iM.data_TTCTCTCTCCCAGCGA-1", "iM.data_CTGCTCAAGAAGATCT-1", "iM.data_ACATTTCTCTAAGAAG-1", "iM.data_AGTAACCCATGACGGA-1", "iM.data_GATCAGTAGAACTGAT-1", "iM.data_CATGCAACACGGGCTT-1", "iM.data_TCACTCGAGGATCACG-1", "iM.data_TCGCTCAGTGTTGACT-1", "iM.data_TACTTACTCAGGAACG-1", "iM.data_CCGTAGGAGGGCAATC-1", "iM.data_TAGTGCACACTCAGAT-1", "iM.data_GTGTGGCCAGCTGCCA-1", "iM.data_ATAGAGAGTTACCTGA-1", "iM.data_GTATTGGGTTGCATTG-1", "iM.data_CGTGCTTGTGGCATCC-1", "iM.data_GTTTACTCAGGTTACT-1", "iM.data_AACCATGTCGCGCCAA-1", "iM.data_GAACTGTCAATTCTTC-1", "iM.data_TGCAGATAGGTGATAT-1", "iM.data_TATCTTGTCTGTGTGA-1", "iM.data_CGATGCGTCCCACAGG-1", "iM.data_ACTTCCGAGCTCGACC-1", "iM.data_TCAGCAAGTGTCTTCC-1", "iM.data_CCCATTGCATTGGCAT-1", "iM.data_AATAGAGCAGGTACGA-1", "iM.data_TACTTGTAGGCCCGTT-1", "iM.data_ACATGCAAGCAGTAAT-1", "iM.data_AACGGGACACTCACTC-1", "iM.data_CCTCAGTGTGATCGTT-1", "iM.data_GTTACCCAGCGTGCTC-1", "iM.data_TTACAGGCACCAACAT-1", "iM.data_GAGGCCTGTCGAGCTC-1", "iM.data_TGTCAGAAGTTCTACG-1", "iM.data_TTACCATTCGCGTCGA-1", "iM.data_GTGTTCCGTCACTACA-1", "iM.data_TCATTACGTGCAACAG-1", "iM.data_AAGTTCGAGCAAACAT-1", "iM.data_CAGATACTCGTGCACG-1", "iM.data_ATTCACTCATTCGATG-1", "iM.data_TTACGCCGTCGACGCT-1", "iM.data_CTCCTCCGTTTAGTCG-1", "iM.data_TGGGCGTAGGATCATA-1", "iM.data_CCGATCTGTCAAAGAT-1", "iM.data_GAGTCATAGTTTCGGT-1", "iM.data_TGACTCCTCCCACAGG-1", "iM.data_CCATAAGAGGAGGTTC-1", "iM.data_TCATTACTCAGCACCG-1", "iM.data_GATTCGAAGCTGAAAT-1", "iM.data_GATCACAAGGATGCGT-1", "iM.data_GTTGTAGCAACGACAG-1", "iM.data_GGTTAACGTGCAACAG-1", "iM.data_GCAGTTATCCTGCTAC-1", "iM.data_CTAGACAGTATTCCGA-1", "iM.data_TTTGATCCAGGTCCCA-1", "iM.data_CAGATTGTCGGCCTTT-1", "iM.data_CCGGGTAGTCCATACA-1", "iM.data_TGTGATGGTTGCGGAA-1", "iM.data_CATCCGTAGCGCTTCG-1", "iM.data_ATCTTCAAGCTCGCAC-1", "iM.data_AGTACTGTCCCGAGTG-1", "iM.data_GGATCTATCCGATAAC-1", "iM.data_TTCACGCGTAGCGTAG-1", "iM.data_CAGCGTGCAAATGGTA-1", "iM.data_TGTGGCGGTGCCCACA-1", "iM.data_CACATGATCTTTGGAG-1", "iM.data_ACTATCTGTGGGCTCT-1", "iM.data_TGCTGAAAGCACGTCC-1", "iM.data_GAATAGATCCAATCTT-1", "iM.data_AGTTAGCAGGATAATC-1", "iM.data_ACTTATCGTATTTCTC-1", "iM.data_CATCGTCAGACCTGGA-1", "iM.data_GGGCCATCACTTTATC-1", "iM.data_CAGTGCGTCCACACCT-1", "iM.data_TCATTTGGTGAATATG-1", "iM.data_TTGGGATTCTGGGCGT-1", "iM.data_AATCGTGGTAGTCTTG-1", "iM.data_GTAGGAGAGTCATGGG-1", "iM.data_GTGCACGCACTCAGAT-1", "iM.data_TGTTACTAGCCGATTT-1", "iM.data_CTGATCCCAACGGTAG-1", "iM.data_TGCGACGGTGTGTTTG-1", "iM.data_GTCCACTCATCATGAC-1", "iM.data_CTCTGGTTCAATCTTC-1", "iM.data_CACGGGTGTCTGGTTA-1", "iM.data_ATTTCTGAGCATATGA-1", "iM.data_AGAAATGCAGTTTGGT-1", "iM.data_GAACGTTTCTGAGAGG-1", "iM.data_TGTGTGATCAAATGAG-1", "iM.data_TCGGGCAGTAACAGGC-1", "iM.data_CTTCGGTTCTACTGCC-1", "iM.data_TAGAGTCGTCAGTCTA-1", "iM.data_GATCATGAGTGATCGG-1", "iM.data_TCGATTTGTTGCGTAT-1", "iM.data_TCACTCGGTATCACGT-1", "iM.data_TACATTCAGCGTACAG-1", "iM.data_TGAGCATAGAAGCGCT-1", "iM.data_CAGAGCCCAAGACGGT-1", "iM.data_AGGAAATAGCCTGTCG-1", "iM.data_CACTTCGAGAGTTGTA-1", "iM.data_ATTGGGTTCCCTCGTA-1", "iM.data_CACTGAAGTAGGTACG-1", "iM.data_GCGATCGTCTCCCAAC-1", "iM.data_CTCATCGTCTAGCCTC-1", "iM.data_TAGACCATCGGCTTGG-1", "iM.data_TCGTAGATCCTACAAG-1", "iM.data_GTAACCACATATACCG-1", "iM.data_ACGTTCCGTCCCGCAA-1", "iM.data_GAATAGATCACCTCAC-1", "iM.data_CTAGGTACAAGAATGT-1", "iM.data_CCTCCAAGTGTGACCC-1", "iM.data_GATGAGGTCTCCGTGT-1", "iM.data_CCACTTGGTCGGTACC-1", "iM.data_TCATGGAGTGAGCCAA-1", "iM.data_GTCACGGGTGGAAGTC-1", "iM.data_AGCATCATCTTACCAT-1", "iM.data_CAGTTAGTCGTTATCT-1", "iM.data_CCGTAGGCACAGTGAG-1", "iM.data_CCACCATGTAAGTTGA-1", "iM.data_TCATGGAGTGCTGATT-1", "iM.data_CTAACTTTCAGGAAAT-1", "iM.data_CAGCAGCTCTCTGACC-1", "iM.data_TCAAGACTCTGCACCT-1", "iM.data_CCTCTAGGTTGGGACA-1", "iM.data_AATGCCAGTATCACCA-1", "iM.data_TTCCGGTGTGAATAAC-1", "iM.data_TGTTCTAAGTGAGTGC-1", "iM.data_TCACGGGAGTCCTACA-1", "iM.data_GATTGGTAGGTAGATT-1", "iM.data_AGACAAAGTCAAGGCA-1", "iM.data_AATGGAAAGATTAGCA-1", "iM.data_TTCTTCCGTGGTAACG-1", "iM.data_GTAACACTCTGTGCTC-1", "iM.data_GAGTGAGTCTCGTGAA-1", "iM.data_ATTTCTGTCTAGGAAA-1", "iM.data_AGTGACTGTGCGACAA-1", "iM.data_GGTAATCGTTGTGTAC-1", "iM.data_CGTGTCTAGCTTCGTA-1", "iM.data_TTGAGTGGTGCACGCT-1", "iM.data_TGGTTAGAGCTTTCCC-1", "iM.data_CCGTGAGCAACGTATC-1", "iM.data_CTCAAGATCCCATTCG-1", "iM.data_CGGGTGTTCGAGCACC-1", "iM.data_TTCCACGGTCGTCATA-1", "iM.data_TGTGATGGTCTTTATC-1", "iM.data_TCGGGTGTCAATGCAC-1", "iM.data_GCCCAGAAGACTACCT-1", "iM.data_ATTTCTGAGATCGCTT-1", "iM.data_AAGACAAAGCGACCCT-1", "iM.data_CTGCTCATCTCAGGCG-1", "iM.data_ATCGCCTCAGGGCTTC-1", "iM.data_GGGTTTAGTATGAAAC-1", "iM.data_TCCCACATCACTCACC-1", "iM.data_GATAGCTAGGATAATC-1", "iM.data_GGTCTGGGTAACGATA-1", "iM.data_TTCCACGGTAATCAGA-1", "iM.data_AGAACAAGTACACGCC-1", "iM.data_AACAACCGTATATGGA-1", "iM.data_CGAGTTACAAGTACCT-1", "iM.data_AGCCACGGTACCATAC-1", "iM.data_GAATCGTGTGGCATCC-1", "iM.data_TGGTGATCACAGAGAC-1", "iM.data_TCTACCGGTAAGCAAT-1", "iM.data_AGGACGAAGTTTCGGT-1", "iM.data_CTTTCAAGTAAGCGGT-1", "iM.data_GTGTTCCCAGCTCATA-1", "iM.data_CATGAGTGTGAGCGAT-1", "iM.data_GGTTGTAAGATCCCGC-1", "iM.data_TGTTACTGTACCATAC-1", "iM.data_ACGTTCCAGGTGCTGA-1", "iM.data_GACTCTCGTGCCTATA-1", "iM.data_GCTTTCGCAAATTAGG-1", "iM.data_TTCTGTAAGCCGTTGC-1", "iM.data_GATCAGTCAAACGAGC-1", "iM.data_GATTGGTCACGTCGGT-1", "iM.data_GGCTTTCGTAAGTTGA-1", "iM.data_CGTTCTGCAGGCATTT-1", "iM.data_AAGACAAGTGCCGTTG-1", "iM.data_GCTTTCGGTTATCCAG-1", "iM.data_AACCATGGTAGTCTTG-1", "iM.data_GGAAGTGGTCCGTACG-1", "iM.data_TATCTGTAGCTCTTCC-1", "iM.data_CGCATAAGTGGGTCAA-1", "iM.data_TAGAGTCAGGACATCG-1", "iM.data_AATTCCTAGTTGCGAG-1", "iM.data_CTCATGCAGCCACCGT-1", "iM.data_CCCAACTTCGTAACCA-1", "iM.data_TGACAGTAGGCCTAGA-1", "iM.data_ATGCGATAGGCCTTCG-1", "iM.data_ACGGGTCTCGCTGACG-1", "iM.data_TCGAAGTGTATAGGAT-1", "iM.data_TTCTAGTAGATGTAGT-1", "iM.data_TCACTATAGTGACACG-1", "iM.data_GCTTGGGAGAAAGCGA-1", "iM.data_TAACCAGAGCTCTGTA-1", "iM.data_GAGCTGCAGTGGGAAA-1", "iM.data_TGGGCGTGTATCACGT-1", "iM.data_CCTCCAACATCTAACG-1", "iM.data_TCCTTCTAGCCTATTG-1", "iM.data_CCACGTTCATACTGAC-1", "iM.data_TGGAGAGTCCTTCTGG-1", "iM.data_TTGAACGAGACTCCGC-1", "iM.data_GGCAGTCTCTAGTGTG-1", "iM.data_TCATGCCAGAAATCCA-1", "iM.data_CTCAACCGTGTACATC-1", "iM.data_CATTCTATCGACCAAT-1", "iM.data_GAGTTGTTCATACGAC-1", "iM.data_TTTGTTGTCCTACGAA-1", "iM.data_GGGACTCGTTACTCAG-1", "iM.data_AACACACAGTGCGACA-1", "iM.data_TGATCAGGTATTTCTC-1", "iM.data_GAGTTGTCACACCTTC-1", "iM.data_CACTGAACAGGCGTTC-1", "iM.data_GAGTCTAGTACCGTCG-1", "iM.data_ATCACGAAGACGTCGA-1", "iM.data_GTCACGGGTCACCGCA-1", "iM.data_CATACAGTCCTTCACG-1", "iM.data_TATTGGGTCTGCGAGC-1", "iM.data_GATTTCTGTTGACGGA-1", "iM.data_ATTCATCGTAGCGTAG-1", "iM.data_CTTCAATAGACTCAAA-1", "iM.data_CTATCCGGTACTGCGC-1", "iM.data_AACCAACAGACTACGG-1", "iM.data_CGAGTTAAGCCGTAAG-1", "iM.data_ACAAAGAGTATTCCGA-1", "iM.data_TCCATCGGTCGGTGTC-1", "iM.data_CGTCCATTCCATTCAT-1", "iM.data_GTCGTAAAGGAGATAG-1", "iM.data_GAAACCTGTTCAGCTA-1", "iM.data_TGAGGGATCTTTCCGG-1", "iM.data_AGAGCAGTCCTCGCAT-1", "iM.data_ATCTTCATCAGACAAA-1", "iM.data_AAGTGAAAGAGCCATG-1", "iM.data_TCGATTTAGCACCGTC-1", "iM.data_GTGTGGCAGATACCAA-1", "iM.data_TGTCAGACATTGACTG-1", "iM.data_GGGACTCAGTGCCAGA-1", "iM.data_GATCATGAGATTGACA-1", "iM.data_AGAGCCCAGGCTGTAG-1", "iM.data_ACCAAACTCTACGGTA-1", "iM.data_GTAGAGGCAATCCAGT-1", "iM.data_GACTCTCGTGACTGAG-1", "iM.data_CACCGTTGTAACCAGG-1", "iM.data_CATGGATAGTACTGGG-1", "iM.data_AGGAAATAGAAGTCCG-1", "iM.data_GTGGAGACAAAGCTCT-1", "iM.data_AGGGTCCTCCGGACGT-1", "iM.data_CCTGTTGCAAGGATGC-1", "iM.data_CAGCCAGCAGATTAAG-1", "iM.data_CGATGGCTCCCTCGAT-1", "iM.data_CACGTGGCACGTAGAG-1", "iM.data_TGAGTCAGTTCTCCCA-1", "iM.data_GTGGGAAGTCAGGCAA-1", "iM.data_TGTGCGGAGCGGGTAT-1", "iM.data_CTGTGAATCGCTCCTA-1", "iM.data_AAGCATCGTAGCACAG-1", "iM.data_GTCGTAACAGAGACTG-1", "iM.data_TTCTTGATCTGGAAGG-1", "iM.data_ATCGGCGGTGATGTAA-1", "iM.data_TGCAGATGTGTAGTGG-1", "iM.data_AATGAAGGTGCCTATA-1", "iM.data_TCGATTTCAAAGACTA-1", "iM.data_TTGTGGACAAAGCGTG-1", "iM.data_ATTACTCGTAGATTAG-1", "iM.data_AAAGGTATCCATTTCA-1", "iM.data_TTTGTTGCATAGACTC-1", "iM.data_ATGTCCCGTTCGGTAT-1", "iM.data_GTCCCATTCCAAATGC-1", "iM.data_GACGTTAAGCTGCGAA-1", "iM.data_GGACGTCAGTCAGCGA-1", "iM.data_CACACAAGTGATCGTT-1", "iM.data_AATGGCTCAGTAGAGC-1", "iM.data_TTCTTCCTCGCCTAGG-1", "iM.data_TCGCAGGTCAACTCTT-1", "iM.data_AAGCGTTTCAACTACG-1", "iM.data_TCGGATACATTGACTG-1", "iM.data_CTCCGATCAGGCAATG-1", "iM.data_ACTTTGTGTACGCTAT-1", "iM.data_GTTGCGGGTGTACAGG-1", "iM.data_CTTCAATCATAGATCC-1", "iM.data_ACTACGAAGGTTCATC-1", "iM.data_GGGATGAAGACGGAAA-1", "iM.data_CCCGAAGCAACTCATG-1", "iM.data_ATAGACCAGGGCAGTT-1", "iM.data_AGGCCACAGGACCCAA-1", "iM.data_CACCAAACACGACGAA-1", "iM.data_GAGTGAGTCTCTCGCA-1", "iM.data_TACAACGTCAGGACGA-1", "iM.data_TACTTCAAGAGTGGCT-1", "iM.data_CGTCCATCATGGGCAA-1", "iM.data_CGGGCATAGAGTCCGA-1", "iM.data_GTAGAGGCAAAGGATT-1", "iM.data_CACCAAATCGTGTCAA-1", "iM.data_GTGCACGAGCGCGTTC-1", "iM.data_GCGTTTCAGTGACCTT-1", "iM.data_GGAATGGTCAGAGTGG-1", "iM.data_GCTTCACGTGAGCAGT-1", "iM.data_GGGCGTTTCGGCTTCT-1", "iM.data_AGGTCATTCCTATGGA-1", "iM.data_TCCTTTCTCCCTCTAG-1", "iM.data_CCTCAGTAGGATCATA-1", "iM.data_GTGTTAGTCACTACGA-1", "iM.data_TGAGCGCGTTGAGAGC-1", "iM.data_AATTCCTTCTAAGGAA-1", "iM.data_ATGGAGGGTCAACACT-1", "iM.data_ATCCATTAGGATTCCT-1", "iM.data_GATTCTTGTTGGGAAC-1", "iM.data_CCGGTAGCACTACCCT-1", "iM.data_CGGGTCACACCCTCTA-1", "iM.data_TCCGTGTCAAGCACCC-1", "iM.data_GTCACGGGTCCTGGTG-1", "iM.data_CGGAGAAGTGCTCTCT-1", "iM.data_TGCGATATCTCTATAC-1", "iM.data_GAGGGATTCTGAGCAT-1", "iM.data_TCGATTTCAAACCATC-1", "iM.data_TTCCTCTCACACAGAG-1", "iM.data_CGAGTGCGTACGTAGG-1", "iM.data_TCTTTGAGTTGCCTAA-1", "iM.data_CCCGAAGTCCACGAAT-1", "iM.data_AGGACTTAGTCTGGTT-1", "iM.data_GGCTTGGGTCGTGTTA-1", "iM.data_ATTGGGTGTCATTGCA-1", "iM.data_GTGGGAAGTTGGGACA-1", "iM.data_ATGAAAGCATATCTGG-1", "iM.data_AGGAGGTTCCATGAGT-1", "iM.data_CATCAAGTCTTAGGAC-1", "iM.data_GCGGATCAGCGGTAGT-1", "iM.data_AATGAAGCACGACTAT-1", "iM.data_GATTGGTGTGCTATTG-1", "iM.data_GGACGTCTCGCCTATC-1", "iM.data_TCTATCATCATCACTT-1", "iM.data_TTTCGATAGAGCTGCA-1", "iM.data_AAGACAACAACTGTGT-1", "iM.data_TGTCCACCACGTTGGC-1", "iM.data_AGCCAATTCGCTTGAA-1", "iM.data_CGTCCATAGCGGGTTA-1", "iM.data_AGCTACAAGCATCTTG-1", "iM.data_GGAGATGCAAGTGGAC-1", "iM.data_GCACATATCGATACAC-1", "iM.data_GCGTGCAGTACTTGTG-1", "iM.data_GGAGGTACAGACGATG-1", "iM.data_TTGGGATCAAGCTGCC-1", "iM.data_GTTCATTAGCTTAGTC-1", "iM.data_AAGGAATAGAGGGTAA-1", "iM.data_GCGAGAAGTCTTGCTC-1", "iM.data_GGGACTCCAGTCGCTG-1", "iM.data_GTTAGTGTCCGATTAG-1", "iM.data_CTGCAGGCAGCATGCC-1", "iM.data_CACGAATGTAGTCGGA-1", "iM.data_ATACCGATCAAATGAG-1", "iM.data_TACCTGCTCTTTGCAT-1", "iM.data_CTCCTCCTCAGGCGAA-1", "iM.data_AGAAGCGTCATGGAGG-1", "iM.data_CCAAGCGCAGCAGTTT-1", "iM.data_CTACAGAGTCTTAGTG-1", "iM.data_TTTCCTCCACTCAAGT-1", "iM.data_TTGCATTAGTCGTCTA-1", "iM.data_TGAGGAGTCAGAGTGG-1", "iM.data_ATCAGGTTCATTCACT-1", "iM.data_ACTTTGTAGGCAATGC-1", "iM.data_TCCGTGTTCGTTAGAC-1", "iM.data_ACCTGAACAAATTAGG-1", "iM.data_ACTTATCGTTAATCGC-1", "iM.data_GCTTTCGGTTAAGAAC-1", "iM.data_CGGGTCATCTACGCAA-1", "iM.data_TAATCTCAGCTCCACG-1", "iM.data_AGAAGCGAGTGCCTCG-1", "iM.data_GTGCGTGTCTTACACT-1", "iM.data_AGTCTCCGTGGACAGT-1", "iM.data_CACAGGCGTGGTGATG-1", "iM.data_TGGATCATCGTCACCT-1", "iM.data_GCTGCAGCATGCCGAC-1", "iM.data_ACATCGATCATGCTAG-1", "iM.data_GTCGAATCAACGGTAG-1", "iM.data_ACTATTCCAAAGAACT-1", "iM.data_ATGGTTGGTTCCGGTG-1", "iM.data_TCCATCGCAGCGACAA-1", "iM.data_CTTCCTTAGGTTCTTG-1", "iM.data_GTCATGACAAGTCATC-1", "iM.data_TCTTCCTGTTAGGAGC-1", "iM.data_TGGGATTCAAAGTGTA-1", "iM.data_GTAGAGGGTTTCCATT-1", "iM.data_GCTTGGGGTCCTGGTG-1", "iM.data_GCAACCGAGGATACCG-1", "iM.data_GAGTTACAGATAGCAT-1", "iM.data_ACTGTGAGTCATAGTC-1", "iM.data_ATGAAAGAGGCAGTCA-1", "iM.data_TGTCCCAGTCGGTGAA-1", "iM.data_TAAGCCACATACATCG-1", "iM.data_GGGTTTAAGGAGGGTG-1", "iM.data_CATTCTATCTTAGTTC-1", "iM.data_CTGTGAATCGTGGACC-1", "iM.data_CTGTGAAAGACTAGAT-1", "iM.data_CGTGATAGTGCGAACA-1", "iM.data_AAATGGAGTAGATTAG-1", "iM.data_GACCGTGAGTACCATC-1", "iM.data_AAGCGAGAGGTCACAG-1", "iM.data_CTCCCAATCGCTCTAC-1", "iM.data_TTGTTTGGTAGAGTTA-1", "iM.data_AGGCCACGTTCCCAAA-1", "iM.data_CGGGTGTAGAGGTTAT-1", "iM.data_GTGTGATGTCTACAAC-1", "iM.data_GTTCATTAGGGCAGAG-1", "iM.data_GTCATGAAGGCCTGCT-1", "iM.data_CTGCATCTCAAAGGTA-1", "iM.data_GTCGAATTCTGCTGAA-1", "iM.data_GTCTGTCCAAGAAACT-1", "iM.data_TGGGCGTAGACGTCCC-1", "iM.data_GTACAACTCCCAAGTA-1", "iM.data_TGTTCATGTCGCAGTC-1", "iM.data_TTTGATCCAAAGGAGA-1", "iM.data_CCCTAACCAGAGGGTT-1", "iM.data_GAACTGTGTGATGAAT-1", "iM.data_AGCTACACACAGGATG-1", "iM.data_GTTATGGCAACAAGAT-1", "iM.data_GCACTAAGTCTTCCGT-1", "iM.data_TCCGTGTCAACCGCTG-1", "iM.data_CTGTGGGGTAGTATAG-1", "iM.data_AAGCATCCATAATGAG-1", "iM.data_TCCAGAACACGCGTGT-1", "iM.data_CGGGTCAGTGTCATGT-1", "iM.data_AGTAGCTAGTAGCATA-1", "iM.data_CATAGACAGTACCGGA-1", "iM.data_CCTCCAACAATCACGT-1", "iM.data_TGAACGTTCTGAATGC-1", "iM.data_CAACAACAGGTAGGCT-1", "iM.data_GTTAGTGAGGCTAACG-1", "iM.data_AGAAGTATCGTGTTCC-1", "iM.data_TAGTGCACATCCAATG-1", "iM.data_GGCTGTGTCCATTTAC-1", "iM.data_AATGGAATCCACTTCG-1", "iM.data_TACAACGGTATCGCTA-1", "iM.data_CCTTCAGTCTGGGATT-1", "iM.data_AACACACGTCTAGTGT-1", "iM.data_TATCCTATCCCGTGAG-1", "iM.data_ACTTTGTAGTTCTCTT-1", "iM.data_AAGCATCTCCGACAGC-1", "iM.data_TAGCACATCCAGCTCT-1", "iM.data_TCTGGCTAGACTTGTC-1", "iM.data_CACTGGGAGTCTCTGA-1", "iM.data_ACGATGTAGCATGTTC-1", "iM.data_CGATGGCAGTGTTGTC-1", "iM.data_ATCGGATGTAACATAG-1", "iM.data_CTGTACCCACGCTGCA-1", "iM.data_GTCTGTCGTCAACCTA-1", "iM.data_CCACGAGGTAGCTGAG-1", "iM.data_TCACGGGTCGTACACA-1", "iM.data_AGTCACACAAACTCTG-1", "iM.data_TCTAACTTCTCATAGG-1", "iM.data_AGGGTCCAGAGAGTGA-1", "iM.data_TGAATGCGTCTGTAGT-1", "iM.data_TGGATCACAACGAGGT-1", "iM.data_AACGGGACAGCAGGAT-1", "iM.data_TTCATGTGTAGTAAGT-1", "iM.data_CAGATACTCGAGTACT-1", "iM.data_TGGTACAGTACTAGCT-1", "iM.data_AGATGCTGTTATGGTC-1", "iM.data_TGAGCATCAGGCATGA-1", "iM.data_CCCGAAGGTAGTGGCA-1", "iM.data_AACAAGAAGATCCCGC-1", "iM.data_CGATGGCTCTTCTGTA-1", "iM.data_TTTGGAGCATTCACCC-1", "iM.data_AGGGTGAAGGTGATCG-1", "iM.data_TTACGTTTCGTGCTCT-1", "iM.data_CGATGGCGTCCGGATC-1", "iM.data_CTTAGGAGTTGACGGA-1", "iM.data_GCGGATCAGGGCCTCT-1", "iM.data_CAACAGTTCTTGAGCA-1", "iM.data_CTATCTAGTGGCAACA-1", "iM.data_ACAGCCGTCATGCCGG-1", "iM.data_TCATTACTCAAGCCGC-1", "iM.data_AAAGGGCGTGTCGATT-1", "iM.data_GAGTTGTCACATACTG-1", "iM.data_CCTAAGACAATCGAAA-1", "iM.data_ATAGACCAGAGTGTTA-1", "iM.data_GCACGGTCAGTAACCT-1", "iM.data_GAATCGTCAGTTTCAG-1", "iM.data_CATTCTAAGTCATCCA-1", "iM.data_AGTGATCAGCCTTGAT-1", "iM.data_ATTCAGGTCCTTCGAC-1", "iM.data_ATCCGTCTCAACTGAC-1", "iM.data_TGCAGATCATCGTGCG-1", "iM.data_ACATCCCGTGCGTTTA-1", "iM.data_AATGGAAAGCGTTGTT-1", "iM.data_ATTCCTATCGTGTCAA-1", "iM.data_GTGACGCAGACATAAC-1", "iM.data_TCGGGCAAGACGGAAA-1", "iM.data_TTGGTTTTCTAGGAAA-1", "iM.data_ACAACCAAGTAACAGT-1", "iM.data_ATAGAGAGTCCAGCAC-1", "iM.data_AACCTGATCACCGACG-1", "iM.data_CATCGGGTCAACTACG-1", "iM.data_GCATGATCAATAACGA-1", "iM.data_AACAGGGAGATTCGAA-1", "iM.data_CCGTTCATCGTAGCTA-1", "iM.data_GAGAAATTCTCAGAAC-1", "iM.data_GAGATGGTCCTGGGTG-1", "iM.data_TATTGGGTCATCAGTG-1", "iM.data_CTCAATTCAACTTCTT-1", "iM.data_GGGTTATTCCCAACTC-1", "iM.data_TTCGGTCGTCCCACGA-1", "iM.data_CTCAATTCACAAATAG-1", "iM.data_GAGTCTAAGCGAATGC-1", "iM.data_CTGCTCACACGTCTCT-1", "iM.data_CTCATTATCGAGCACC-1", "iM.data_AAGCCATGTGGATGAC-1", "iM.data_TATTCCAGTCTACGAT-1", "iM.data_GACATCAAGGCTCTCG-1", "iM.data_ACTTAGGGTATTTCCT-1", "iM.data_TTCAATCGTCTCGGAC-1", "iM.data_CATGGTATCATGCAGT-1", "iM.data_TGTGTGATCTCATTAC-1", "iM.data_AGCGCCACAGTTAGAA-1", "iM.data_TCTCCGATCTGAATCG-1", "iM.data_GCGAGAAAGCACAAAT-1", "iM.data_GAGGCAAGTAATCAAG-1", "iM.data_GGTGTCGGTTTCGTGA-1", "iM.data_TCCCACAGTCGATTTG-1", "iM.data_AAAGTGACATCCGAAT-1", "iM.data_GGGCTACTCAAGTCTG-1", "iM.data_GTACAGTGTGGCTGAA-1", "iM.data_CTATCTATCTGGCCGA-1", "iM.data_GTTTGGATCTTGCGCT-1", "iM.data_CCACCATCAAATTGCC-1", "iM.data_AGGGTCCAGCCTTTGA-1", "iM.data_TCGTGGGTCAGAATAG-1", "iM.data_CCGTGAGTCTGCCTGT-1", "iM.data_ACTGCAAGTGGTCCCA-1", "iM.data_AGCCAATCAGTAGATA-1", "iM.data_CAATTTCTCGATTGGT-1", "iM.data_AGTCACACAGCTACTA-1", "iM.data_TTCCGGTGTATGGTAA-1", "iM.data_TGCGGCACATCATTTC-1", "iM.data_ACAACCATCGGATAAA-1", "iM.data_ATAGACCCAGGTCAAG-1", "iM.data_CTGCGAGCACCTGCGA-1", "iM.data_ATGGGTTCAAAGTGTA-1", "iM.data_TACGTCCAGATGGCAC-1", "iM.data_CGAAGTTAGTAAACGT-1", "iM.data_TTCTCTCTCTGCGTCT-1", "iM.data_TCATTCAGTCGCTTAA-1", "iM.data_CCACGTTGTTGGTAGG-1", "iM.data_TGCACGGGTTCAACGT-1", "iM.data_TGCACGGTCGCAATTG-1", "iM.data_TAGAGTCGTCATCGCG-1", "iM.data_ACGTCCTGTGCATCTA-1", "iM.data_GATTCTTTCGTGGCGT-1", "iM.data_AGCTCAAGTCGCTTGG-1", "iM.data_GAGTTGTGTGGAGGTT-1", "iM.data_TCGGTCTCAGCACCCA-1", "iM.data_AGAACAAAGGCATCGA-1", "iM.data_CCTCCAAGTACTTCCC-1", "iM.data_GAGAGGTGTCTGTCCT-1", "iM.data_TCGTCCAGTATGTGTC-1", "iM.data_GTCATCCAGTCATCGT-1", "iM.data_TTTACGTCATGAATCC-1", "iM.data_AAAGTGACACACCAGC-1", "iM.data_TACTTACAGCCGCTTG-1", "iM.data_TTTGTTGTCTTGATTC-1", "iM.data_GCACGGTAGGCATCTT-1", "iM.data_GTCGAATAGTAGACAT-1", "iM.data_CGTGAATTCAGTCACA-1", "iM.data_AAAGAACAGCGGGTAT-1", "iM.data_TCATGCCCACTGTGAT-1", "iM.data_CATTTCACATACTTTC-1", "iM.data_ATGAAAGCACTTACAG-1", "iM.data_ACCATTTGTTAATGAG-1", "iM.data_AGCATCAAGAATAGTC-1", "iM.data_ACAGAAAAGTCACGCC-1", "iM.data_TTTCAGTGTCTTAGTG-1", "iM.data_TAAGCGTCACATACGT-1", "iM.data_CGTAATGTCATCCTAT-1", "iM.data_TGCTTCGAGCACTCGC-1", "iM.data_AAACGAATCCTGCCAT-1", "iM.data_TGCGACGCACACGTGC-1", "iM.data_GATAGAACATTCTCTA-1", "iM.data_TACAACGTCGATGCTA-1", "iM.data_CAATTTCCAGACACAG-1", "iM.data_CAAGCTAGTATCAGGG-1", "iM.data_TCCAGAAAGTAGGTTA-1", "iM.data_TCATGAGGTAGCGTCC-1", "iM.data_AGTTCGAGTTGCGGCT-1", "iM.data_TGCGGGTGTACGGTTT-1", "iM.data_CTCAGTCGTTAGAAAC-1", "iM.data_CTGGACGGTCGTCGGT-1", "iM.data_CCCTTAGTCGAACCTA-1", "iM.data_TACAGGTGTCGAGATG-1", "iM.data_TCACATTTCTGATTCT-1", "iM.data_CACTGTCTCGGAACTT-1", "iM.data_TCAGGTATCAATCGGT-1", "iM.data_CATTGTTGTGCCCACA-1", "iM.data_AGCCAATAGAGTCCGA-1", "iM.data_TAAGCACCATTGTACG-1", "iM.data_TCTAACTAGGCCCACT-1", "iM.data_AAGTGAAAGGCACGAT-1", "iM.data_GTCTAGAAGGCTCAAG-1", "iM.data_TCTTCCTCAAGACGGT-1", "iM.data_CCCGGAACAACAAGAT-1", "iM.data_GCGGAAAAGAAAGCGA-1", "iM.data_TCATACTTCCCATGGG-1", "iM.data_TGTCCACTCTACTTCA-1", "iM.data_GACTCTCAGCCGATAG-1", "iM.data_TGCTCGTCAATTGGTC-1", "iM.data_GTACAGTGTTGCGAAG-1", "iM.data_AGCCAATCACTTGGCG-1", "iM.data_CAAGACTGTCTGTGTA-1", "iM.data_ACTTCGCTCCTAGCCT-1", "iM.data_TGATTCTTCGGCTATA-1", "iM.data_TCTTTGACAACGAGGT-1", "iM.data_ACCTACCTCGCTGACG-1", "iM.data_TTTCACACATAATGAG-1", "iM.data_GGTCACGGTGCCTTCT-1", "iM.data_GGTTAACTCAAGAGGC-1", "iM.data_TCATGTTCAAGAAATC-1", "iM.data_CTCATTACACTTGAAC-1", "iM.data_TCGGATATCCCTTTGG-1", "iM.data_TCAGCAAGTCAGTCCG-1", "iM.data_CGGCAGTCACTGAGGA-1", "iM.data_GACCCTTCACAACCGC-1", "iM.data_GGAGCAATCCATTGGA-1", "iM.data_TACCTCGGTCTGTGTA-1", "iM.data_AACAACCTCTGTGTGA-1", "iM.data_TCCTTTCTCGAGTCTA-1", "iM.data_TAATCTCTCCACAGGC-1", "iM.data_TGCGATATCCTCTCGA-1", "iM.data_AAGTCGTCATTCAGCA-1", "iM.data_AGTAGCTGTATTTCCT-1", "iM.data_TGTAACGGTCATTCCC-1", "iM.data_GAATCGTTCCTCTAAT-1", "iM.data_CACAACATCTTAGCTT-1", "iM.data_CTAACCCCACGACGAA-1", "iM.data_AGAGAGCCATACAGGG-1", "iM.data_TGCTTGCTCCCAAGTA-1", "iM.data_GATTCTTTCACCTTGC-1", "iM.data_GCACGGTCACCTTCGT-1", "iM.data_TTGAACGGTGCACGCT-1", "iM.data_TGAATGCAGCTCCCTT-1", "iM.data_TTGATGGCAGCACGAA-1", "iM.data_GACAGCCCACTGATTG-1", "iM.data_TTAGGCATCCATTGGA-1", "iM.data_CACTGAAGTATCATGC-1", "iM.data_CGATCGGAGTATGATG-1", "iM.data_TGATTTCGTTTGGCTA-1", "iM.data_ACTATGGAGCCACCGT-1", "iM.data_CACTGGGAGCCTGTGC-1", "iM.data_CCCGGAAAGCACCGAA-1", "iM.data_ACCTGTCTCGTGTGAT-1", "iM.data_AGGTGTTAGACCATAA-1", "iM.data_GCCAACGCAGTGACCC-1", "iM.data_AGGATAACAGGTTTAC-1", "iM.data_CGGACACTCCCATTTA-1", "iM.data_GTAGTACAGGGTCACA-1", "iM.data_CCTTCAGTCGCAATGT-1", "iM.data_CAATCGAAGGTACAGC-1", "iM.data_AACGTCAAGTCATCGT-1", "iM.data_GGTGTCGTCAACTGGT-1", "iM.data_ATCACAGGTGGCCTCA-1", "iM.data_ATTTCTGCAGCAGTCC-1", "iM.data_CAGTGCGCACCAGCCA-1", "iM.data_CTTGATTTCTAGACAC-1", "iM.data_TGAGTCACAAGTGGGT-1", "iM.data_TTTCGATAGTCATAGA-1", "iM.data_TCAAGCACACCTTCGT-1", "iM.data_TACTTACGTGCACATT-1", "iM.data_TTACCGCCAGTGAGCA-1", "iM.data_GGTAGAGTCCCGTGTT-1", "iM.data_TCGACCTCATTAGGAA-1", "iM.data_AAACGCTCAAATTAGG-1", "iM.data_AACGTCAAGACAACTA-1", "iM.data_GGGAGATGTTTAGAGA-1", "iM.data_ACACCAAGTCATCTAG-1", "iM.data_AGCGTATAGAGTCTGG-1", "iM.data_GTTGCTCTCTATTGTC-1", "iM.data_TCCTAATCAATTCTCT-1", "iM.data_AGATGCTGTCTGTCCT-1", "iM.data_CCGGACAGTCCACACG-1", "iM.data_GGTAATCCAGGAAGTC-1", "iM.data_GTTTGGAAGCATGCGA-1", "iM.data_GTTGAACAGGCACAAC-1", "iM.data_TCGTCCAGTACTCGCG-1", "iM.data_AAATGGATCGCTCTAC-1", "iM.data_CACTGAAAGCTCATAC-1", "iM.data_GAAATGATCAGGTGTT-1", "iM.data_CCTCAACGTAGTCCTA-1", "iM.data_TGTGAGTAGTCGCTAT-1", "iM.data_TATCTGTCAAGCCCAC-1", "iM.data_GTGGCGTCAGCAAGAC-1", "iM.data_TCGGGTGAGCGACTTT-1", "iM.data_GTAAGTCAGTTGTAGA-1", "iM.data_AGAGCAGTCTGCGATA-1", "iM.data_CTTCTAAAGGTCTGGA-1", "iM.data_AACCTTTGTTATCTTC-1", "iM.data_AACACACAGCGTTCCG-1", "iM.data_ACTGATGAGGTCTGGA-1", "iM.data_TACCTGCGTGCATGAG-1", "iM.data_GGTGAAGTCGGAGTAG-1", "iM.data_CTACTATTCCTTATAC-1", "iM.data_GGGCTACGTCTCGGAC-1", "iM.data_AGGAATAGTCTGTCAA-1", "iM.data_CTCCCTCTCTCCCTAG-1", "iM.data_GAGGCCTAGCTAAGTA-1", "iM.data_AGACCCGAGCGCCCAT-1", "iM.data_AGAACAACATGACGGA-1", "iM.data_GGGCCATGTCGTATTG-1", "iM.data_GGGACTCTCCGTGGGT-1", "iM.data_TCTGGCTTCAACGTGT-1", "iM.data_TAGGGTTCACAGACGA-1", "iM.data_TAACACGGTGATACTC-1", "iM.data_CCTCAGTGTCACAATC-1", "iM.data_TCGGGACGTTACCTTT-1", "iM.data_TTCAGGACACTATCGA-1", "iM.data_AATCGTGGTGCATGAG-1", "iM.data_CGCCATTTCTGCCTGT-1", "iM.data_TGCACGGTCCGTGACG-1", "iM.data_ATTGGGTCAGAGCTAG-1", "iM.data_GGTGGCTTCCCTATTA-1", "iM.data_AGGTCTAGTGCTCTCT-1", "iM.data_GACGCTGTCGTCTAAG-1", "iM.data_TGGATGTCACGTACTA-1", "iM.data_AGCGTATAGTCGAAAT-1", "iM.data_ATTGGGTAGCTTAGTC-1", "iM.data_AGTCAACGTCCAAAGG-1", "iM.data_ATGAAAGGTTGGGTTT-1", "iM.data_TGACTCCAGGCAGGTT-1", "iM.data_CTCAAGATCTTACGTT-1", "iM.data_AGATGCTGTTAGGGTG-1", "iM.data_ATCGCCTAGCCATGCC-1", "iM.data_CAGCCAGCAAGCAATA-1", "iM.data_ACAGGGACAGCTGTCG-1", "iM.data_GCGAGAACAGTCGCAC-1", "iM.data_TCAAGCACAACAAGAT-1", "iM.data_CCGTTCACAAACCACT-1", "iM.data_TGGAGAGGTTAAGACA-1", "iM.data_TTTACCACACGACCTG-1", "iM.data_CAACCAAGTCCCGGTA-1", "iM.data_TTTGGAGAGTCCTGTA-1", "iM.data_CCCTGATCAAGTGCTT-1", "iM.data_AAAGGATTCATCACTT-1", "iM.data_ACGTCCTCACGTGTGC-1", "iM.data_GTCACGGGTATTAAGG-1", "iM.data_CAACCTCGTTTCTTAC-1", "iM.data_ATGATCGCAGTGGCTC-1", "iM.data_ATTCTTGGTCGCTTAA-1", "iM.data_CGAAGTTGTCGCCACA-1", "iM.data_AAATGGACAGTGTACT-1", "iM.data_TGATTTCGTCGGTAAG-1", "iM.data_CAGCACGTCTTCTTCC-1", "iM.data_CGTTAGACAAGCTCTA-1", "iM.data_TTCAGGAGTGCTAGCC-1", "iM.data_TCATCCGCATCGATGT-1", "iM.data_CCGGTGATCGAGATGG-1", "iM.data_AAAGGGCAGGTTACAA-1", "iM.data_TCATGGAGTTAATCGC-1", "iM.data_AAATGGATCATGCTAG-1", "iM.data_GTACAGTCAACTGCTA-1", "iM.data_TGCATCCGTGGGTCAA-1", "iM.data_CTACTATCAACGATTC-1", "iM.data_GTAGAGGAGGTGGTTG-1", "iM.data_GCACGTGGTTCGGACC-1", "iM.data_TAAGTCGGTCTTGCTC-1", "iM.data_TTCCTCTCAGGTAGTG-1", "iM.data_ACTGCAAGTCCGGACT-1", "iM.data_TGTTTGTAGACAGCTG-1", "iM.data_TTACCATCAGAACCGA-1", "iM.data_CGGGTCAAGAGAGGGC-1", "iM.data_GTCAAACCAGGTCAAG-1", "iM.data_CTCCGATAGCGAGTCA-1", "iM.data_GATTGGTCAGGAGGTT-1", "iM.data_GCATTAGTCCGTGTCT-1", "iM.data_TGAGGTTCACAAATAG-1", "iM.data_CTAGACATCGGTAGAG-1", "iM.data_GATTGGTAGGCGTCCT-1", "iM.data_GTCTTTAGTGTAGGAC-1", "iM.data_AGAACAAGTTTGTGGT-1", "iM.data_GTCATCCCAGATACTC-1", "iM.data_AGGAGGTGTATGAGCG-1", "iM.data_CCTTTGGGTGTGAATA-1", "iM.data_CCTAAGACACGTAGAG-1", "iM.data_TCAGTTTCAGAATTCC-1", "iM.data_AGCGCCAAGAAGCCAC-1", "iM.data_TTTGACTAGGGTTAAT-1", "iM.data_AAAGAACAGAGAGCCT-1", "iM.data_ATTCTTGAGGATGTTA-1", "iM.data_GAGTGTTTCCGCGATG-1", "iM.data_GGGACAACAAGTGCAG-1", "iM.data_ACTGATGCAATAACCC-1", "iM.data_ACACCAATCTTACACT-1", "iM.data_CGATGGCTCGTACCTC-1", "iM.data_GGGTCACAGGGCGAGA-1", "iM.data_TCATTGTCATAGAATG-1", "iM.data_CTCCATGTCAGACATC-1", "iM.data_CGGAGAAAGCGATTCT-1", "iM.data_TCATTTGCAAACTCGT-1", "iM.data_GTAGGAGAGTACCATC-1", "iM.data_CACATGACACGCGCTA-1", "iM.data_AAGACAACACATGGTT-1", "iM.data_AGAAGTATCCCATTTA-1", "iM.data_GAAGCGATCGACGTCG-1", "iM.data_ACGATCATCAACCTTT-1", "iM.data_AGCGATTGTCGAATGG-1", "iM.data_TGTCAGAAGCGACTAG-1", "iM.data_TCAGCAACAGAGTGAC-1", "iM.data_ACCTGAATCTGGAGAG-1", "iM.data_TGTGATGCAGGTGGAT-1", "iM.data_TCGACGGTCAGGCGAA-1", "iM.data_TGGGCGTTCTTACGTT-1", "iM.data_GTCGTAACATCACGGC-1", "iM.data_CGTCAAATCCTCCACA-1", "iM.data_GTCCTCAGTGATACAA-1", "iM.data_GAAGGACAGTCAGGGT-1", "iM.data_GCATCGGGTTGCGGAA-1", "iM.data_CCTCTCCTCAGCTGAT-1", "iM.data_GGGTTATCATGTGCTA-1", "iM.data_TTTATGCCAAGACCTT-1", "iM.data_TCGGATATCTCGGCTT-1", "iM.data_CGTCCATGTTAGTCGT-1", "iM.data_TCACACCTCTCGACCT-1", "iM.data_TACCTCGGTTCAAAGA-1", "iM.data_CCACGTTGTCTGTGGC-1", "iM.data_TCTTTGACAGCATGCC-1", "iM.data_TTCCTCTTCATTATCC-1", "iM.data_TTCGATTGTTATTCTC-1", "iM.data_GCTACCTAGAGAGAAC-1", "iM.data_CAACAACAGATAACAC-1", "iM.data_TAGTGCACATAACAGA-1", "iM.data_GGAACCCGTATCTTCT-1", "iM.data_ATTGGGTAGAGGTCAC-1", "iM.data_CAACGATTCGCCTCTA-1", "iM.data_CAGTTAGGTCGGTGTC-1", "iM.data_CCGGACACAACCAATC-1", "iM.data_TGGTAGTCAATGGGTG-1", "iM.data_GTGGGAAGTCATCGCG-1", "iM.data_TGAGGAGGTGAGTTTC-1", "iM.data_CAACCTCTCAACGTGT-1", "iM.data_GGTAATCAGTCAAGCG-1", "iM.data_GGCAGTCAGGTGCTGA-1", "iM.data_CAGCAGCTCCATTCGC-1", "iM.data_CCTCCTCTCCTAGAGT-1", "iM.data_TTTGACTAGTGTTCCA-1", "iM.data_GGGAGATCAGGCCTGT-1", "iM.data_GCCTGTTAGTGGTTCT-1", "iM.data_AGGGCTCAGTCATAGA-1", "iM.data_ATTCCCGAGAGGGTCT-1", "iM.data_CCTCATGTCTATTCGT-1", "iM.data_CCTCACAGTCGTTGCG-1", "iM.data_GTATTGGTCACCGGGT-1", "iM.data_TCTAACTGTACTAAGA-1", "iM.data_AGGGTCCCAGGAGGTT-1", "iM.data_TATCAGGCAACCGGAA-1", "iM.data_GGAATGGAGGAAGTCC-1", "iM.data_ATGAGTCGTGCCGGTT-1", "iM.data_ATTCCCGCACCAGTAT-1", "iM.data_AACACACTCGGCTTCT-1", "iM.data_CATTGAGCAGGTTTAC-1", "iM.data_CACGGGTGTAGCGTCC-1", "iM.data_CACTGGGAGACATATG-1", "iM.data_GATCACAAGGCGTTGA-1", "iM.data_GTCCACTTCCTAACAG-1", "iM.data_AGTCACACAACAAGAT-1", "iM.data_TCGGGTGCAGTAACGG-1", "iM.data_GATGATCCATGTGGCC-1", "iM.data_ACGGGTCCATATAGCC-1", "iM.data_TCGCACTGTATCGTTG-1", "iM.data_CTTCGGTAGCCTGACC-1", "iM.data_AGGTTACTCAAACGAA-1", "iM.data_ACACCAATCCGGACGT-1", "iM.data_TTGCCTGCAATAGAGT-1", "iM.data_CATGGATCAGCTCATA-1", "iM.data_GTTACGAGTCTCCTGT-1", "iM.data_CTCATCGTCTGGCTGG-1", "iM.data_CGAGGAATCGCATAGT-1", "iM.data_TCGTCCAAGTTGCATC-1", "iM.data_TTCATTGTCGACACTA-1", "iM.data_GGTGGCTCATCGAACT-1", "iM.data_AGATCGTCAGGACTAG-1", "iM.data_CAGCCAGGTGAACGGT-1", "iM.data_TCAGTTTCAGAGGACT-1", "iM.data_GAGCCTGCAGGACATG-1", "iM.data_GCATCTCAGCAGTAAT-1", "iM.data_TCAAGTGGTATCACCA-1", "iM.data_TTTACCAGTCTGCATA-1", "iM.data_AAGACAAGTAGACGTG-1", "iM.data_GCATGATGTAGCGTCC-1", "iM.data_CCCTAACCAGTGTACT-1", "iM.data_AGCCAATTCCGTAGTA-1", "iM.data_AATTTCCTCTTGAGCA-1", "iM.data_TGTAAGCTCTCAACCC-1", "iM.data_TCCTCTTAGGCCGCTT-1", "iM.data_CGGGTCAGTCAGGTAG-1", "iM.data_TCTGTCGGTAACAGTA-1", "iM.data_GGGACTCTCGGCCAAC-1", "iM.data_GTTGTGACACCAGTTA-1", "iM.data_CGCATGGAGACTTCCA-1", "iM.data_CAGATACTCCGGACTG-1", "iM.data_TAGCACAAGTGATTCC-1", "iM.data_GCAGTTACAACTACGT-1", "iM.data_TAAGTCGAGCGTTAGG-1", "iM.data_TAACCAGCAGAGCTAG-1", "iM.data_GCGTTTCAGGAACATT-1", "iM.data_TTCAGGACAATGCAGG-1", "iM.data_TCTGTCGAGACTGGGT-1", "iM.data_ACGGGTCCAATTCTTC-1", "iM.data_ACGTAGTTCTGCATAG-1", "iM.data_GTCATCCAGTTGCTGT-1", "iM.data_CAGTTAGAGAGTCAGC-1", "iM.data_ACTTTGTAGTCTGGTT-1", "iM.data_TAAGCACAGTGATAAC-1", "iM.data_AGACACTCATGTCAGT-1", "iM.data_ACTTTCAAGGAAGTGA-1", "iM.data_TAGTGCAAGGGTAATT-1", "iM.data_TGCAGTATCTCGGGAC-1", "iM.data_TCCGAAAAGTGCGCTC-1", "iM.data_AGTAGTCGTCGCACGT-1", "iM.data_TTCCTCTCAACACAAA-1", "iM.data_ATCCATTCAGATCATC-1", "iM.data_TGAGACTGTGAACGGT-1", "iM.data_TGATTTCCAGCCCACA-1", "iM.data_TAGACCAAGATGCTGG-1", "iM.data_GTTAGTGAGCACTCCG-1", "iM.data_CGCATAATCTGGTGGC-1", "iM.data_CGAGTTAAGGAACATT-1", "iM.data_CGAGTTAAGCCAACCC-1", "iM.data_CAAGGGAAGCCTTCTC-1", "iM.data_GCGTTTCAGATTGATG-1", "iM.data_CAACGATGTGTAGCAG-1", "iM.data_CGAGAAGAGGCCTTCG-1", "iM.data_CTGCGAGTCCGTAGGC-1", "iM.data_TGCTGAACACTTGGCG-1", "iM.data_TCTGTCGCAAGATTGA-1", "iM.data_AACCCAACATACCATG-1", "iM.data_ATCGTCCGTGTCATCA-1", "iM.data_TGCACGGTCACTGGTA-1", "iM.data_CACCAAAGTAATGCTC-1", "iM.data_CGGGTGTCACGACAAG-1", "iM.data_GGGTAGATCTGAGTCA-1", "iM.data_CTAAGTGAGGTCGACA-1", "iM.data_CCAATTTTCGCCAACG-1", "iM.data_GGAATGGCAACACAGG-1", "iM.data_CATCGTCAGGTGTGAC-1", "iM.data_TTGGGCGTCGGCTTGG-1", "iM.data_AGGTAGGAGTGTCATC-1", "iM.data_AGTAACCCACGTACAT-1", "iM.data_GAAGGGTGTGAGGCAT-1", "iM.data_GTAGGTTTCATACGAC-1", "iM.data_ATGGAGGCACTCACTC-1", "iM.data_CATACCCGTATTGACC-1", "iM.data_TCAAGACCAGAAGCGT-1", "iM.data_TCCGGGATCTCACGAA-1", "iM.data_AGAGCCCAGGCGAACT-1", "iM.data_AGGAGGTGTGTTTCTT-1", "iM.data_ACGTCCTTCTTGGGCG-1", "iM.data_CGCCATTTCACTGTTT-1", "iM.data_ATACCTTTCTGTAAGC-1", "iM.data_TTTATGCCAAAGGGCT-1", "iM.data_TCCGGGAGTAGTGCGA-1", "iM.data_GAGACCCAGCGATGAC-1", "iM.data_TAACACGGTAGTCTGT-1", "iM.data_GTGGTTATCGGACTGC-1", "iM.data_AACAAGAAGTATGCAA-1", "iM.data_TATTGGGTCCGGCAAC-1", "iM.data_TCAGCAATCAACCCGG-1", "iM.data_CCGGACAAGAAAGTCT-1", "iM.data_AGCGATTAGGCTTAGG-1", "iM.data_CACAGGCGTTCCCAAA-1", "iM.data_GCGTTTCTCAAGTCTG-1", "iM.data_TATTGGGGTATGTGTC-1", "iM.data_ATTTCACGTAGACTGG-1", "iM.data_CAGATTGGTTGATGTC-1", "iM.data_GAGTTTGGTTGCCGCA-1", "iM.data_TGTCCACTCGAGATGG-1", "iM.data_TCTACATGTTCCTAGA-1", "iM.data_GATCGTAGTTCCATTT-1", "iM.data_AACCTGAAGCTGGCCT-1", "iM.data_CCCTCAAAGTCTCGTA-1", "iM.data_TGTTGGAGTACAGTAA-1", "iM.data_ATGGGTTGTTGCCAAT-1", "iM.data_AGTCTCCAGTTCTACG-1", "iM.data_AAGTACCGTCCAGCCA-1", "iM.data_GTAACACGTACGCTAT-1", "iM.data_GTTGAACAGAGAGTTT-1", "iM.data_ACTTCGCGTCACCACG-1", "iM.data_AACAAGAGTATCCTTT-1", "iM.data_ATGTCTTTCATTTGGG-1", "iM.data_CTCATGCGTAGGACTG-1", "iM.data_TTCTTGATCAAGTGGG-1", "iM.data_CTCTCAGCATAGGAGC-1", "iM.data_TTATTGCGTTCCGGTG-1", "iM.data_GTGCTTCTCTCGCCTA-1", "iM.data_GAAGGACCAGGACGAT-1", "iM.data_TTGACCCCATACGCAT-1", "iM.data_GTGAGCCTCTTCCCAG-1", "iM.data_ATGTCCCTCCGAAATC-1", "iM.data_CCTACGTTCTCTGAGA-1", "iM.data_CATACCCGTTCTAACG-1", "iM.data_AAGACAAGTACCCAGC-1", "iM.data_GCAGCTGTCGTTCAGA-1", "iM.data_GTGTTAGCACAGTCGC-1", "iM.data_ATTCATCCACACTGGC-1", "iM.data_CAACGATAGTCGCGAA-1", "iM.data_CACGGGTGTGCTGCAC-1", "iM.data_ATCGATGTCCGGCAAC-1", "iM.data_ATGACCATCACTGCTC-1", "iM.data_GAACGTTCAGTCGGTC-1", "iM.data_GTGTGATTCCTCAGAA-1", "iM.data_TCATGCCCAATGACCT-1", "iM.data_TGAGGGATCCATACTT-1", "iM.data_ATACCTTAGTGGCAGT-1", "iM.data_GGTAACTGTGAAGCTG-1", "iM.data_TAACACGCACATCCCT-1", "iM.data_CGAAGGAGTGATACAA-1", "iM.data_AGACCATGTTTCGACA-1", "iM.data_TCAAGCAAGGCTCCCA-1", "iM.data_GTTTGGACATTGCTGA-1", "iM.data_GCATGATCAGTCAGAG-1", "iM.data_GAGATGGTCGAGTCCG-1", "iM.data_GGACGTCTCTGCCCTA-1", "iM.data_CATCGGGTCTGCATGA-1", "iM.data_ATCGGATTCTATGCCC-1", "iM.data_TCTACATGTTCGGACC-1", "iM.data_AGCCACGAGGGAGATA-1", "iM.data_TACTTGTAGTGTCATC-1", "iM.data_CATGGTAGTCCTCAGG-1", "iM.data_GGGTCTGAGAAGCCAC-1", "iM.data_TCTTTGACAGAGGACT-1", "iM.data_TTTCCTCGTGGCGTAA-1", "iM.data_TAAGTCGCAAGATGTA-1", "iM.data_CTCCATGTCGGTCGAC-1", "iM.data_TATCTGTAGCTGCCTG-1", "iM.data_TGTAGACTCTGCATAG-1", "iM.data_TCCCATGGTCGGCCTA-1", "iM.data_GCAACATCAAGATGGC-1", "iM.data_TCGAAGTCAGAGATGC-1", "iM.data_ATAGGCTTCGAAGCAG-1", "iM.data_TCCTCGATCTCTTCAA-1", "iM.data_TTGCTGCTCGTTCCTG-1", "iM.data_TTCGATTCAGTCTACA-1", "iM.data_AGGATCTGTAGCGTTT-1", "iM.data_CGAGGCTTCGACATTG-1", "iM.data_TCCTTTCGTAGTTCCA-1", "iM.data_TCTTCCTAGTCTGCGC-1", "iM.data_GTGAGCCAGCACCTGC-1", "iM.data_AATTCCTGTAAGTCAA-1", "iM.data_CTCCTCCCAAACTCGT-1", "iM.data_ATTCCTACACAAGCAG-1", "iM.data_CTCTCGACATATCTGG-1", "iM.data_CAAGGGAAGTAGTCTC-1", "iM.data_GTTAGACTCGCCTTTG-1", "iM.data_CGTAAGTAGTTCCATG-1", "iM.data_AAGACAATCGATGCTA-1", "iM.data_GATGATCAGACTAGAT-1", "iM.data_CTCGAGGTCGACACTA-1", "iM.data_TCTTAGTTCTAGTTCT-1", "iM.data_CACTAAGGTCACTGAT-1", "iM.data_GTCTAGAAGTTGTCGT-1", "iM.data_TTGCATTGTGAAAGTT-1", "iM.data_TTTGTTGGTGAATTGA-1", "iM.data_AGACACTGTTTGTTGG-1", "iM.data_CTCAGAATCAAGGACG-1", "iM.data_AGACACTTCGTTAGTG-1", "iM.data_GTAAGTCTCTCTTCAA-1", "iM.data_TACGTCCCAACTAGAA-1", "iM.data_TGGAACTTCCTTCTAA-1", "iM.data_CAGATTGCAGCTGTAT-1", "iM.data_TCAATCTTCAAGTGTC-1", "iM.data_TCGTCCAGTTGCAAGG-1", "iM.data_GTCCTCACACAATTCG-1", "iM.data_CAGCCAGAGACTCATC-1", "iM.data_GAGTTACCATCAGTGT-1", "iM.data_AGCGCCATCCGTGTGG-1", "iM.data_CCGAACGAGTTTGTCG-1", "iM.data_GCATTAGTCTATTCGT-1", "iM.data_TGTGATGCAGTAGTTC-1", "iM.data_TACGCTCGTACGTGAG-1", "iM.data_TGTGTGACAAGTTTGC-1", "iM.data_AGGCTGCTCGCGCCAA-1", "iM.data_ATCTTCAGTAGGCAAC-1", "iM.data_CCTAAGAAGTCTCTGA-1", "iM.data_TCACGCTGTCGTACAT-1", "iM.data_AGACACTCAATTGCCA-1", "iM.data_AGTCATGTCTATGTGG-1", "iM.data_CGAAGGAGTCTGCCTT-1", "iM.data_CGCAGGTCACAAGTGG-1", "iM.data_TATCTTGGTGCTCTTC-1", "iM.data_CCGATCTGTTCGTACA-1", "iM.data_TAGCACATCACGATCA-1", "iM.data_CTGCCATGTGGATACG-1", "iM.data_ACCATTTTCGTCCATC-1", "iM.data_TCCGTGTTCATTGCGA-1", "iM.data_AGGTCTACAAATCAGA-1", "iM.data_AGGCTGCTCACGATAC-1", "iM.data_AGCGCCAAGTGCTCAT-1", "iM.data_TTCGCTGCAGGCAATG-1", "iM.data_TAGGGTTTCGACATCA-1", "iM.data_TTGCGTCTCATCCCGT-1", "iM.data_AGTACCATCGCCTTTG-1", "iM.data_AGATAGACAGCCTACG-1", "iM.data_GATTCGACAAGTAGTA-1", "iM.data_AGAACCTGTTTAGTCG-1", "iM.data_TGCATGAGTAGTATAG-1", "iM.data_CATTCATAGATGTAGT-1", "iM.data_GCAGCTGAGTCACTGT-1", "iM.data_ATTCTACTCGCTGACG-1", "iM.data_GGTGTCGGTCTTTCAT-1", "iM.data_AACAAGAAGCTGTCCG-1", "iM.data_AGGCCACAGATGATTG-1", "iM.data_ACTTAGGAGCGTTACT-1", "iM.data_TGTTCTATCGACATAC-1", "iM.data_TCATTCATCTTACCGC-1", "iM.data_TAGGTTGAGTACCCTA-1", "iM.data_TATCAGGTCATGCCCT-1", "iM.data_CATACAGGTCGCAGTC-1", "iM.data_ATCATTCGTGGGTTGA-1", "iM.data_CTTACCGCACCTTCGT-1", "iM.data_ACTTATCCACAAGTTC-1", "iM.data_TACAGGTCAGGAGACT-1", "iM.data_AGGATCTCAAGGCAAC-1", "iM.data_CATGGATTCGGTCATA-1", "iM.data_GTTACGACATGCTGCG-1", "iM.data_TGTGCGGGTCAGACGA-1", "iM.data_CCCTAACTCATCACAG-1", "iM.data_TATTCCACAAGTTTGC-1", "iM.data_TGTTGGAGTTCATCGA-1", "iM.data_AGTCATGGTATACCTG-1", "iM.data_GTCTGTCGTCATAGTC-1", "iM.data_ATGAAAGAGATTTGCC-1", "iM.data_TGTTGGACATGGCCCA-1", "iM.data_CATGGTAAGGGCTAAC-1", "iM.data_GCACGTGAGTATCCTG-1", "iM.data_TTGGATGCAGTGTGGA-1", "iM.data_TTGGATGCATCTGCGG-1", "iM.data_GAGTTACTCGGCGATC-1", "iM.data_TCGATTTAGTGTTCCA-1", "iM.data_TCAATTCTCTCTCGCA-1", "iM.data_TTGGGTAGTTCCGCGA-1", "iM.data_TTCTGTACACGCGTGT-1", "iM.data_AACCTTTTCGTCGCTT-1", "iM.data_GTATTGGTCTGAGCAT-1", "iM.data_CTACCCACAGAGACTG-1", "iM.data_CAAGCTAAGCCGAATG-1", "iM.data_GAATCGTGTCTCTCCA-1", "iM.data_GTCTGTCAGGCTAAAT-1", "iM.data_GGAGGTAGTCCGTTTC-1", "iM.data_TTTGTTGTCTTAGCCC-1", "iM.data_TGATTTCAGCCTTGAT-1", "iM.data_CCAAGCGGTGGAGAAA-1", "iM.data_ATGAGGGCAGTCCGTG-1", "iM.data_GTTACGATCTCGAACA-1", "iM.data_TCCGGGAGTCAAAGAT-1", "iM.data_GTAACCATCTTCTGTA-1", "iM.data_GATCCCTGTCATCCGG-1", "iM.data_CGGGCATTCTAGGCCG-1", "iM.data_GCAGTTAGTACCATAC-1", "iM.data_CACTAAGTCGTTGTTT-1", "iM.data_CCACAAAGTATGTGTC-1", "iM.data_TCGCAGGTCACTTGGA-1", "iM.data_TTTACTGCAAATGGCG-1", "iM.data_TCATGAGTCGATTGAC-1", "iM.data_GACTTCCGTTCAGCGC-1", "iM.data_AGAGCAGGTGAGCCAA-1", "iM.data_GAAATGACAGCCATTA-1", "iM.data_ACCTGAACACTGAGTT-1", "iM.data_AATTCCTAGACGGTTG-1", "iM.data_GAGTCATTCCATTTGT-1", "iM.data_ACTTATCTCTATCGCC-1", "iM.data_TACAACGTCTGAGAGG-1", "iM.data_TCGACCTCATGCTGCG-1", "iM.data_TCTGGCTTCCGTTGGG-1", "iM.data_TGACAGTTCGATTCCC-1", "iM.data_AACAAAGGTACTGACT-1", "iM.data_CGAGTGCTCGCACGAC-1", "iM.data_TACCTCGGTCACATTG-1", "iM.data_GCACGTGGTGCATACT-1", "iM.data_TCTGGCTGTGATCGTT-1", "iM.data_AATGGCTTCTGGACTA-1", "iM.data_CTCAACCCATAGATGA-1", "iM.data_CCGTTCATCTCGGGAC-1", "iM.data_GATCAGTCATCTGGGC-1", "iM.data_TTTGGTTAGACGCATG-1", "iM.data_GTTTACTAGAAGCTGC-1", "iM.data_GTGCGTGGTCATCTAG-1", "iM.data_AATGGAATCCCGAGGT-1", "iM.data_CTCATTAGTTGACTAC-1", "iM.data_TCTTAGTTCGGCATAT-1", "iM.data_GGGACTCTCACTGAAC-1", "iM.data_CACCGTTAGATCGCTT-1", "iM.data_ATTCTACAGAAGTCAT-1", "iM.data_TAGGGTTGTACACTCA-1", "iM.data_CATGGATGTTAGGGAC-1", "iM.data_ACAAGCTAGTAGAATC-1", "iM.data_GTGCGTGGTATGGTAA-1", "iM.data_GTAGAGGGTCCTGAAT-1", "iM.data_ATCCACCTCAAGCTGT-1", "iM.data_GATAGAAAGAAGGCTC-1", "iM.data_AGAACAATCTTGTTAC-1", "iM.data_CTGAATGGTTGCAACT-1", "iM.data_GGTGATTGTACCATAC-1", "iM.data_TTGTTTGTCGCAGTTA-1", "iM.data_GCTTGGGCAACCGTGC-1", "iM.data_ACTGCAATCAGGCGAA-1", "iM.data_ATTTACCCAAAGTATG-1", "iM.data_CCCTCAAGTATTGAGA-1", "iM.data_GAAGAATTCTTTGATC-1", "iM.data_TGCAGGCAGAAGCGCT-1", "iM.data_TCCAGAATCCCTTTGG-1", "iM.data_CCACGAGCACTATCCC-1", "iM.data_CTTCGGTGTCTTGCGG-1", "iM.data_CCTCCTCTCGATTCCC-1", "iM.data_TCCTTTCAGTACGAGC-1", "iM.data_TTGCATTAGCAGTACG-1", "iM.data_CAGCGTGTCAAGCCGC-1", "iM.data_ATGGAGGGTAGGTGCA-1", "iM.data_CTTCCTTCAAGAGCTG-1", "iM.data_AGACTCATCCGTTGGG-1", "iM.data_AAGTCGTCACACAGCC-1", "iM.data_AGTTCCCGTCCACAGC-1", "iM.data_CTAACCCGTACCTGTA-1", "iM.data_AGGACGAGTTTGGAGG-1", "iM.data_ACCCTTGGTTACGCCG-1", "iM.data_ACTTCGCAGACTCATC-1", "iM.data_ATGAGGGTCGGAAACG-1", "iM.data_AACCCAAGTAGACGGT-1", "iM.data_TAGACTGCAGTAACCT-1", "iM.data_CCCTTAGCAGTCTTCC-1", "iM.data_GACGTTATCTCGCTTG-1", "iM.data_GAGCTGCAGTAGCATA-1", "iM.data_TGTGGCGTCGTCGCTT-1", "iM.data_AATTCCTAGTAGGAAG-1", "iM.data_ACGGGTCCAGGCAATG-1", "iM.data_GACTCTCGTGCAACGA-1", "iM.data_ATATCCTCATGAGGGT-1", "iM.data_GGAATGGTCAAGCTGT-1", "iM.data_CATCGCTAGCGCTGCT-1", "iM.data_ATTATCCAGCCTCATA-1", "iM.data_TGCTCCAAGAGGTCGT-1", "iM.data_TGCATGAAGGCATGCA-1", "iM.data_CCGGACACACCAAAGG-1", "iM.data_TCATGGATCCATCTAT-1", "iM.data_CTTCTAATCGGCTGGT-1", "iM.data_ATTCAGGGTACGATGG-1", "iM.data_AGATGAAGTACGTGAG-1", "iM.data_ATTCAGGAGGGCAGGA-1", "iM.data_ATTACTCAGGGCCAAT-1", "iM.data_CAACAGTAGTATCCTG-1", "iM.data_AGCGCTGAGCATATGA-1", "iM.data_CCAATTTAGTTGTAAG-1", "iM.data_ACGTAGTCACTAGAGG-1", "iM.data_AATGGAATCCCGAAAT-1", "iM.data_GAAGAATTCGGACCAC-1", "iM.data_CGCAGGTGTTCAGGTT-1", "iM.data_TTCCTAAGTTATTCCT-1", "iM.data_GGTAACTCAGCTATTG-1", "iM.data_TCACATTGTAGTGATA-1", "iM.data_GTGTTAGGTGCCTACG-1", "iM.data_ACTTATCCACTCGATA-1", "iM.data_GTAGGAGTCGTGGAAG-1", "iM.data_TTTCAGTGTGATTCTG-1", "iM.data_GCTTCACGTCTACAAC-1", "iM.data_CTCAACCGTCTGATCA-1", "iM.data_GTAATCGTCTTCGTAT-1", "iM.data_GGCTTTCAGTTCTCTT-1", "iM.data_GAGTTTGTCATTATCC-1", "iM.data_GTTATGGGTTCGTACA-1", "iM.data_ACCTGTCAGGATACGC-1", "iM.data_TAATTCCAGGCTCTCG-1", "iM.data_GTCTGTCTCCTTGGAA-1", "iM.data_CGTGCTTTCCTAGCTC-1", "iM.data_AGCGCCACAAATTGGA-1", "iM.data_GACTGATTCTAAGCGT-1", "iM.data_TTCAGGATCTACTTCA-1", "iM.data_GGGTCTGGTGCCCGTA-1", "iM.data_TTCCACGCAAGGGCAT-1", "iM.data_GGGTTTACACCAGCTG-1", "iM.data_TCGCTTGGTGCCTATA-1", "iM.data_CATTCATTCCCGTTCA-1", "iM.data_ATCACAGTCCATTTGT-1", "iM.data_CTACAGACACGCAAAG-1", "iM.data_TAGGAGGTCATGACAC-1", "iM.data_GGGTCACGTGAGCGAT-1", "iM.data_AGAGCAGCACCGTGCA-1", "iM.data_TTCAATCCACTAGGCC-1", "iM.data_CTGGTCTAGGGCTAAC-1", "iM.data_TTACCATAGCTTAAGA-1", "iM.data_CACGTGGTCACACCCT-1", "iM.data_ATCACTTAGTTAGAAC-1", "iM.data_CAAGGGAGTCAGGAGT-1", "iM.data_TTACCGCCAGAGGAAA-1", "iM.data_GCATGATAGGCATGGT-1", "iM.data_TTTCCTCCAGCGTGCT-1", "iM.data_TAGACCAGTCCTTGTC-1", "iM.data_ACTGTCCCAACTCATG-1", "iM.data_TAGGTTGTCCTTATCA-1", "iM.data_TTACTGTCAACGTAAA-1", "iM.data_ATCACAGAGACGGATC-1", "iM.data_CACGGGTGTATACCTG-1", "iM.data_CAATGACTCGATACAC-1", "iM.data_TGTACAGAGTTCGGTT-1", "iM.data_ATTACTCGTCTCCTGT-1", "iM.data_CATTCTATCGCAGATT-1", "iM.data_CCTCTAGAGCAATTCC-1", "iM.data_AGGTTACTCCGGTAAT-1", "iM.data_AAAGGGCGTCGAACAG-1", "iM.data_CAACCTCGTAAGCGGT-1", "iM.data_AAACGCTCAACAAGTA-1", "iM.data_ATGCATGGTCAGGTGA-1", "iM.data_GGGATCCGTATATGGA-1", "iM.data_CATTGTTGTAGCTAAA-1", "iM.data_TTGCCTGGTGGATCAG-1", "iM.data_TACACCCAGCATAGGC-1", "iM.data_AAGTCGTAGCACTTTG-1", "iM.data_GCCCGAACAGGCATGA-1", "iM.data_CATTGTTAGATAGTCA-1", "iM.data_GTTCCGTCAGTTTCAG-1", "iM.data_TGTGCGGTCCTGTTAT-1", "iM.data_ACGCACGCATGGCTGC-1", "iM.data_TGAGGGATCCGTCCTA-1", "iM.data_AGAGCAGTCGAGCTGC-1", "iM.data_TCACGGGGTGCCCACA-1", "iM.data_TATCCTAGTTCAGTAC-1", "iM.data_ACTTTGTTCTGCGGAC-1", "iM.data_TGTGTGATCGTCAAAC-1", "iM.data_TGATGGTAGGCCACTC-1", "iM.data_TCCTCTTGTGTATACC-1", "iM.data_GGTTGTAAGTATTAGG-1", "iM.data_TTCTTCCGTTTGAACC-1", "iM.data_GTAACACTCCTCACTG-1", "iM.data_GCCCAGACATACGCAT-1", "iM.data_TGTGCGGTCATTTGCT-1", "iM.data_CAACCTCAGTAGGCCA-1", "iM.data_AGGATCTCAATAGAGT-1", "iM.data_GGTAGAGAGGAAGAAC-1", "iM.data_GGGATGATCCATCCGT-1", "iM.data_GTTGTCCTCTATCCAT-1", "iM.data_GTCCCATGTTCGGTAT-1", "iM.data_TTTATGCCAATACCTG-1", "iM.data_AGAAATGCATGAGGGT-1", "iM.data_GTGACGCCACGTACTA-1", "iM.data_TAAGTCGTCTCGTGGG-1", "iM.data_GCTGCAGGTACAACGG-1", "iM.data_CCACGAGTCACTCCGT-1", "iM.data_AGGCATTGTGTGACCC-1", "iM.data_GCAGGCTCATCATTGG-1", "iM.data_GACTATGCAGGGATAC-1", "iM.data_CATGCAAAGTTGTAGA-1", "iM.data_ATCCATTAGGCTAGCA-1", "iM.data_AGGACTTCAGTGGCTC-1", "iM.data_CGAAGTTCAAAGGAGA-1", "iM.data_TCGCAGGCATGTGGCC-1", "iM.data_AGTCAACTCCAACTGA-1", "iM.data_CGCATAAGTATGCTAC-1", "iM.data_TTTACTGGTGATAGAT-1", "iM.data_GGTTCTCTCCGCACTT-1", "iM.data_TCTCACGCATATACCG-1", "iM.data_GACTGATGTTCCGCAG-1", "iM.data_GAAGGGTTCGATGCAT-1", "iM.data_AACAAGAGTTTACTGG-1", "iM.data_TTCATTGCACTTTATC-1", "iM.data_AGTACTGGTAGCACAG-1", "iM.data_GATGATCAGTTTGAGA-1", "iM.data_TCATACTCAGTCGTTA-1", "iM.data_TTCCTTCCAGGAATCG-1", "iM.data_CCTGTTGTCTACACAG-1", "iM.data_TCAGTTTAGACTTCGT-1", "iM.data_ACTGATGTCAAGAGGC-1", "iM.data_TCCGAAATCGCACGAC-1", "iM.data_TACCTGCTCGTTGTAG-1", "iM.data_CGGAACCTCGTCTCAC-1", "iM.data_ACTCCCAGTATACCCA-1", "iM.data_GGCAGTCTCTAGTACG-1", "iM.data_GGGTGTCGTCAAAGTA-1", "iM.data_AATCGTGGTAGCTCGC-1", "iM.data_CAAAGAATCTATTTCG-1", "iM.data_ACGTTCCAGTTCAACC-1", "iM.data_CAGCAATAGTCTAACC-1", "iM.data_ATGAGTCGTTAAGGGC-1", "iM.data_GGTTGTAAGTGCAGGT-1", "iM.data_ATCGTAGCAAGTGTCT-1", "iM.data_TTGTTGTCAGCTACTA-1", "iM.data_TTCTGTAAGCCACAAG-1", "iM.data_CTTGAGACATAAGCAA-1", "iM.data_TCCTCCCAGAATCGAT-1", "iM.data_TCATCATGTGTGTCGC-1", "iM.data_ATAGGCTCAATTGCGT-1", "iM.data_GCCAGGTGTAGGGTAC-1", "iM.data_AGCATCACATCACGGC-1", "iM.data_ACGGAAGGTGAAGCTG-1", "iM.data_GCTGAATGTCCTCAGG-1", "iM.data_CCAATGACAGTGAGCA-1", "iM.data_CTGGACGCAACTTGCA-1", "iM.data_CTGTGGGGTCAGACGA-1", "iM.data_TGTTCATCATGTGGCC-1", "iM.data_TGCCGAGTCTGCCTGT-1", "iM.data_TCAAGACAGCCTGAGA-1", "iM.data_ACACCAAAGCGTTCAT-1", "iM.data_TGAGCATCAGGCCTGT-1", "iM.data_GGGAGTAAGTAGACCG-1", "iM.data_GAGTGTTGTTGTAGCT-1", "iM.data_AGGGCTCCACAAACGG-1", "iM.data_ATTACTCTCCTTATCA-1", "iM.data_TCAATCTTCAGCCCAG-1", "iM.data_CTCAATTGTTGAGTCT-1", "iM.data_ACTTATCGTCGTACAT-1", "iM.data_GGGCGTTTCGCAATGT-1", "iM.data_AGGTTACGTGATGTAA-1", "iM.data_CCAAGCGAGGTCGCCT-1", "iM.data_ATCAGGTTCAGACCGC-1", "iM.data_AGCTTCCGTCTACGAT-1", "iM.data_TATTCCATCCGACATA-1", "iM.data_CTCTCAGGTAGCTTAC-1", "iM.data_ACGGTCGGTGTTAAAG-1", "iM.data_TCCAGAAAGACGCCAA-1", "iM.data_AGTGTTGCACAGCTGC-1", "iM.data_CTGTACCGTCAACACT-1", "iM.data_CACAGATTCCGCATAA-1", "iM.data_TATCCTATCATGTCAG-1", "iM.data_TCTATCATCTTTCCAA-1", "iM.data_ACTGTGATCTCGCCTA-1", "iM.data_TAACGACTCTTCTGGC-1", "iM.data_CACTAAGCACTACCGG-1", "iM.data_ACCCAAAAGGGACCAT-1", "iM.data_ATCCACCGTTGCCAAT-1", "iM.data_TCCCATGGTACAAAGT-1", "iM.data_TCATACTTCCCATAGA-1", "iM.data_ATCACGATCAATCCGA-1", "iM.data_TCAGTTTCAAGACTGG-1", "iM.data_GACGTTAGTTAGCTAC-1", "iM.data_GGACGTCCACTTCCTG-1", "iM.data_CTAACCCAGGGAGGTG-1", "iM.data_TGGTGATCATCATTGG-1", "iM.data_ATTCAGGCAGTAGGAC-1", "iM.data_GATAGAAGTGGATCAG-1", "iM.data_TAAGTCGGTCCACTTC-1", "iM.data_AGCTCAATCCAGTGTA-1", "iM.data_GACTTCCGTTCTCTCG-1", "iM.data_GGTTCTCAGAGGCGTT-1", "iM.data_TCAAGTGCAAACTCTG-1", "iM.data_GAGTTGTTCAACTCTT-1", "iM.data_TCCACCAGTTCTCCTG-1", "iM.data_TTCTTGATCTTCGGAA-1", "iM.data_ATTCCCGGTCGCGTCA-1", "iM.data_TACGGTAGTGCTCTCT-1", "iM.data_CTCCAACGTGCATACT-1", "iM.data_CGTCAAAAGCTCTTCC-1", "iM.data_GTCGCGATCCTGTTAT-1", "iM.data_TGGAGGACAGCTACAT-1", "iM.data_TGACGCGGTTAGTCGT-1", "iM.data_GTCATTTTCACCACAA-1", "iM.data_CCGGACACAGTCGCTG-1", "iM.data_ACAACCAGTGGACAGT-1", "iM.data_AACCAACTCGCAGAGA-1", "iM.data_GACTGATTCACCACAA-1", "iM.data_CCTCAGTCAGCTACTA-1", "iM.data_GATCCCTGTGTTGACT-1", "iM.data_AAAGTCCGTTGCCATA-1", "iM.data_TCGTAGAGTCTACGAT-1", "iM.data_AGTGATCGTGTCGCTG-1", "iM.data_GTGTTAGTCTAGATCG-1", "iM.data_GAAATGATCTGGTTGA-1", "iM.data_CAGGCCACAGGTTCCG-1", "iM.data_ACTACGAGTAATTGGA-1", "iM.data_AGTTAGCAGCTCCACG-1", "iM.data_TCGAACATCTGACCCT-1", "iM.data_GCCAGCAGTTTCAGAC-1", "iM.data_TGTGGCGGTTTCGTAG-1", "iM.data_ACTATTCAGGTTAGTA-1", "iM.data_AGGGTTTTCCATCTAT-1", "iM.data_CATAAGCAGTTGCCTA-1", "iM.data_GTTACAGGTTTGGCTA-1", "iM.data_GCAACATTCCATGCAA-1", "iM.data_ACAAGCTCAGATTCGT-1", "iM.data_AACAGGGTCCCACAGG-1", "iM.data_TTGGATGGTTGGCTAT-1", "iM.data_TACCTGCCATACAGGG-1", "iM.data_GAAGAATCACCGTCTT-1", "iM.data_AGTCTCCTCTCGCTTG-1", "iM.data_AGGCTGCCAGCGAACA-1", "iM.data_TCCTTCTTCTCGAGTA-1", "iM.data_GGAGATGTCCCAGGCA-1", "iM.data_CTCCCAACATGTGACT-1", "iM.data_TGAGACTAGATCGCTT-1", "iM.data_CGGGCATAGAATCCCT-1", "iM.data_ACCAAACAGCCAGACA-1", "iM.data_ATGATCGGTCGATTTG-1", "iM.data_TGTAAGCTCAAGCTGT-1", "iM.data_TCAGTCCAGTGGAATT-1", "iM.data_GTGGCGTAGCCTATTG-1", "iM.data_TCAAGCAGTCGCCACA-1", "iM.data_TAACTTCGTGTCTAAC-1", "iM.data_TAGACCAGTAGCTGCC-1", "iM.data_ACCCTTGAGTCATCCA-1", "iM.data_AGACAAACATGTGCCG-1", "iM.data_TACATTCTCCCTCATG-1", "iM.data_AACCAACGTCGTACTA-1", "iM.data_CGCGTGAGTTAATCGC-1", "iM.data_ATAGAGAAGACATATG-1", "iM.data_TGATGCACATTGTGCA-1", "iM.data_GATCAGTTCCCTCTCC-1", "iM.data_AGTCTCCGTCGATGCC-1", "iM.data_GACTATGAGCTACTAC-1", "iM.data_CTCAGGGGTGATAGAT-1", "iM.data_AATGAAGAGAGAGCCT-1", "iM.data_CACCAAAGTGATCGTT-1", "iM.data_TGGTACAGTCTTCAAG-1", "iM.data_GACGTTACATCAGCTA-1", "iM.data_CTCCATGTCTTGTTAC-1", "iM.data_CTGGACGCATACACCA-1", "iM.data_AGTCTCCGTCTCGCGA-1", "iM.data_GTATTTCTCCTCTCTT-1", "iM.data_ATTCAGGGTCGAATTC-1", "iM.data_ATGAGTCGTACTGGGA-1", "iM.data_AGCATCATCTGTCCGT-1", "iM.data_GGTCACGCACCCGTAG-1", "iM.data_AGTGTTGAGCACTCGC-1", "iM.data_TACTGCCTCCAACTAG-1", "iM.data_TCGGTCTAGTCTCGTA-1", "iM.data_TCATCCGGTGTTCAGT-1", "iM.data_CATCGCTTCTTCTAAC-1", "iM.data_TTCTTGACAGATGCGA-1", "iM.data_TCATATCAGAGCCGTA-1", "iM.data_GTCAAGTTCTTAGCCC-1", "iM.data_ACGTACACAAATCAAG-1", "iM.data_GATGGAGCATTGTACG-1", "iM.data_CATCGCTCATGACGTT-1", "iM.data_TCACGCTGTGCTTCAA-1", "iM.data_TGCACGGCACCAGCGT-1", "iM.data_CAGCGTGTCTTTGCGC-1", "iM.data_CTTCAATGTGTCTTCC-1", "iM.data_TACTGCCCACAGGATG-1", "iM.data_TTGATGGCACGAGGTA-1", "iM.data_CGGCAGTGTCCGGTCA-1", "iM.data_CTGAGGCAGTATGAAC-1", "iM.data_TTTGTTGAGTCATGGG-1", "iM.data_AAAGGATAGCTGACAG-1", "iM.data_CCTAAGACAACTGCTA-1", "iM.data_CCCTCTCAGTAGGTTA-1", "iM.data_CGTGAATCACACACGC-1", "iM.data_CGTGCTTGTGTACAGG-1", "iM.data_TCAGTTTCAAGCGAGT-1", "iM.data_AGATAGAGTCTCAGAT-1", "iM.data_AGCCAATGTAGAATAC-1", "iM.data_TGCTCGTCACGACGTC-1", "iM.data_TTGTTTGGTCCGGCAT-1", "iM.data_GTAAGTCCAACTAGAA-1", "iM.data_CAAGCTAAGTCCCGAC-1", "iM.data_CATCCCAAGCACTCTA-1", "iM.data_CGAGGCTAGTTACTCG-1", "iM.data_TGGGCTGCACATATGC-1", "iM.data_TTCCTTCTCGTGTGAT-1", "iM.data_ATTTCACGTATCGCAT-1", "iM.data_CTCCGATAGAAGAGCA-1", "iM.data_TGTTTGTCATCTTAGG-1", "iM.data_GCAACCGTCAGCAATC-1", "iM.data_CCTTGTGAGGACCCAA-1", "iM.data_GCAGCTGAGCGTTCCG-1", "iM.data_GTGAGCCTCAGGAACG-1", "iM.data_ACTATTCTCCCAAGCG-1", "iM.data_TCACTATTCGAGAGAC-1", "iM.data_TCGAACAAGTGGATAT-1", "iM.data_TTCTTGAGTGAGTAAT-1", "iM.data_GAGGCCTGTAGCTGCC-1", "iM.data_AGGCCACAGAGTTGCG-1", "iM.data_CCTCTCCAGTAGACCG-1", "iM.data_CTGCCATCAACGACAG-1", "iM.data_TAACACGAGTTACGTC-1", "iM.data_AGGCATTAGGGCTGAT-1", "iM.data_AACAGGGTCTGACAGT-1", "iM.data_AGGAATAGTCTACAAC-1", "iM.data_TCCTTTCAGCGCAATG-1", "iM.data_GTTACAGGTCATCTAG-1", "iM.data_ATAGGCTAGATTGATG-1", "iM.data_CTGGACGGTCGCATTA-1", "iM.data_TCAGTTTTCATCACCC-1", "iM.data_AGTAGTCCATAGACTC-1", "iM.data_ATGCGATGTTGGAGGT-1", "iM.data_CATCGCTGTAATACCC-1", "iM.data_CTAACCCCACATACTG-1", "iM.data_TGAGGTTGTGGTAACG-1", "iM.data_TAAGCGTAGGGTTAGC-1", "iM.data_CAATTTCCAGTAACCT-1", "iM.data_CATGAGTAGTAGCCAG-1", "iM.data_GCCAACGTCTGGCCGA-1", "iM.data_TCGCTCACACAATGTC-1", "iM.data_ATGAAAGTCGCCAGTG-1", "iM.data_GTATTTCAGGTCCAGA-1", "iM.data_TACTTCATCCGCACGA-1", "iM.data_CATAAGCCACATGGTT-1", "iM.data_TAATTCCCAGCTTTGA-1", "iM.data_TTCCAATGTACGAGCA-1", "iM.data_AGATGAAAGTGTTCCA-1", "iM.data_CCCTTAGCAAACGAGC-1", "iM.data_TCATCATCAATCTCGA-1", "iM.data_GTGGAAGCATTACTCT-1", "iM.data_CAAGGGAGTTGCCGAC-1", "iM.data_GGCTGTGAGCCGCTTG-1", "iM.data_ACACAGTCACGCGTGT-1", "iM.data_ATCATTCCAGAGCTAG-1", "iM.data_CTTCCGACAACGACTT-1", "iM.data_TCTCCGAGTACATACC-1", "iM.data_ACGTACACACTTTAGG-1", "iM.data_TTCAATCGTATCAGCT-1", "iM.data_ATGGATCAGACGACGT-1", "iM.data_AGTCACATCGGTGAAG-1", "iM.data_AGGTCATCATAGGCGA-1", "iM.data_GCACATATCACATTGG-1", "iM.data_CCTCATGTCGAAATCC-1", "iM.data_ACGATCACAGGTGGAT-1", "iM.data_CTCAACCTCCCATTTA-1", "iM.data_ACCTGTCTCGTTGTAG-1", "iM.data_TCAGGTATCTGGGCAC-1", "iM.data_TCCCAGTAGGGTTGCA-1", "iM.data_GACTCTCTCTACTGCC-1", "iM.data_TCGTCCACATGTTTGG-1", "iM.data_CTACTATTCCTGTACC-1", "iM.data_GTCAAACCAGGCCTGT-1", "iM.data_TCATTCAAGCTTCTAG-1", "iM.data_AATGAAGAGACATAGT-1", "iM.data_CCTCCAAAGATGACCG-1", "iM.data_TAGACTGCAGAGGCAT-1", "iM.data_CATGGTATCTGGTGCG-1", "iM.data_AGTTAGCAGGCGAACT-1", "iM.data_TCGACCTGTCTGTGTA-1", "iM.data_CTGTGAACACTTCAGA-1", "iM.data_GGGACAACAGCTACTA-1", "iM.data_TCACATTTCTGCTAGA-1", "iM.data_ACTATCTAGTAGCAAT-1", "iM.data_TGCTCCATCGAACACT-1", "iM.data_TCCTAATTCGTTCAGA-1", "iM.data_GGTGGCTCAGAATTCC-1", "iM.data_CCTGCATGTGGAGAAA-1", "iM.data_TTGGATGTCCTTCTAA-1", "iM.data_GAGGGATAGCCTGCCA-1", "iM.data_TACCTGCGTCATAACC-1", "iM.data_CCCTAACTCTTCTGGC-1", "iM.data_CATGCTCAGAAACTCA-1", "iM.data_CCCGAAGCAGCAGTGA-1", "iM.data_AAAGAACCACTCGATA-1", "iM.data_ACTGTCCCAGTCACGC-1", "iM.data_AGTACTGGTCGTATGT-1", "iM.data_TTCTTGAGTGCTGTCG-1", "iM.data_CTCACTGGTAGATCCT-1", "iM.data_TGCAGTAAGCCTGACC-1", "iM.data_TGAGGAGAGACCTTTG-1", "iM.data_GTTCTATCATACTTTC-1", "iM.data_AGGAAATTCCACAGCG-1", "iM.data_GGGCTACTCGTGGAAG-1", "iM.data_CCGGGTACAGCTGGTC-1", "iM.data_TAGGTTGCAGCGAACA-1", "iM.data_ATCCCTGAGGACTTCT-1", "iM.data_TTCACGCCATGTCAGT-1", "iM.data_GGTGGCTTCGCACTCT-1", "iM.data_AAGACAAAGTTGCATC-1", "iM.data_TCGCACTTCACTACTT-1", "iM.data_GAATAGACACCGTGCA-1", "iM.data_TACCGAATCACCTGTC-1", "iM.data_AGGCCACAGTAATACG-1", "iM.data_CAATCGAAGAATCTAG-1", "iM.data_GTTAGACTCTTGCAAG-1", "iM.data_AGGCCACCAAGTGCTT-1", "iM.data_TGGTGATGTGAGCAGT-1", "iM.data_TCATCCGTCGACCACG-1", "iM.data_CATCAAGGTGATGGCA-1", "iM.data_GTGAGTTTCTGTTGGA-1", "iM.data_TGGAGGATCAGTGATC-1", "iM.data_ATCACGACACACGTGC-1", "iM.data_ATTCAGGTCACTCACC-1", "iM.data_CTAACCCGTTGTGTAC-1", "iM.data_CCTCAGTTCTCATGCC-1", "iM.data_GGGTATTTCAATCCGA-1", "iM.data_ATGGGTTTCATGAAAG-1", "iM.data_CCTCCAACACAGTCAT-1", "iM.data_GCAACCGTCTGTACAG-1", "iM.data_GACAGCCCAGTCGAGA-1", "iM.data_ACGTAACGTAGTCTGT-1", "iM.data_TCTGGCTCACCAGACC-1", "iM.data_GAGTTACCAGCTCCTT-1", "iM.data_AATGACCGTCCGAAAG-1", "iM.data_TCACTCGGTCACGCTG-1", "iM.data_AGGCCACTCATTTCGT-1", "iM.data_CACTGGGAGCTGCCTG-1", "iM.data_GGTGGCTGTTAAAGTG-1", "iM.data_CTCAGAATCGTGCTCT-1", "iM.data_CGTGCTTGTGTGGACA-1", "iM.data_GAGTGAGGTCGGTGTC-1", "iM.data_TCACGCTCATGTGTCA-1", "iM.data_AAGACTCTCAAGAGTA-1", "iM.data_CCCTCAAGTTTGCAGT-1", "iM.data_GTAGAAAAGCCTGTCG-1", "iM.data_TGACTCCAGCAATTCC-1", "iM.data_CCGTAGGCAGATCCTA-1", "iM.data_TCCTCTTGTCGTATGT-1", "iM.data_GTGATGTCAGGAAGTC-1", "iM.data_GTCTGTCGTCGTAATC-1", "iM.data_GCAACCGGTGGATCGA-1", "iM.data_GTTCATTTCCCGTGTT-1", "iM.data_GAGCCTGGTCAGGTAG-1", "iM.data_CCGTTCAAGTCCCAAT-1", "iM.data_CAACAGTGTGGCTTAT-1", "iM.data_AAGATAGGTAGACACG-1", "iM.data_TAGAGTCTCGGCTCTT-1", "iM.data_AACCCAACAAGGCGTA-1", "iM.data_CATTGAGTCGTGGCTG-1", "iM.data_GAAGGACAGGTCGTAG-1", "iM.data_GACTCAATCTGGCCAG-1", "iM.data_TCATTCATCTATGTGG-1", "iM.data_AGGGCTCAGCATACTC-1", "iM.data_GTTATGGAGTCTAGCT-1", "iM.data_CATCCCAAGAAATTCG-1", "iM.data_ATGCGATGTAGCTTTG-1", "iM.data_AGCCAATTCGGTTCAA-1", "iM.data_GACTCTCTCCGTAGGC-1", "iM.data_GTGACGCCACACGGAA-1", "iM.data_ACAACCACACACAGCC-1", "iM.data_CACGTTCTCGGCATTA-1", "iM.data_TGTAAGCCAACACAAA-1", "iM.data_TACAGGTAGCTCAGAG-1", "iM.data_TCAATCTAGTAATTGG-1", "iM.data_TCATGAGAGTAGCAAT-1", "iM.data_GGTCACGTCAACTGGT-1", "iM.data_GGGATCCGTGCATTTG-1", "iM.data_CTGAGGCGTTGTTGAC-1", "iM.data_CTCAAGACAACGCCCA-1", "iM.data_CTGGTCTGTAGGATAT-1", "iM.data_AGATAGATCTATCCAT-1", "iM.data_CCTCATGTCAAGGTGG-1", "iM.data_AGAACCTCAGGGAATC-1", "iM.data_TAAGCCATCTCGTGAA-1", "iM.data_CTCACTGGTAATACCC-1", "iM.data_GTTCGCTTCCGCTGTT-1", "iM.data_TTGGGATTCAGACTGT-1", "iM.data_GCATGATTCAGCACCG-1", "iM.data_CGTCAAAAGGCAGCTA-1", "iM.data_AGACAGGAGCACGATG-1", "iM.data_CTGTAGAGTTGCCGCA-1", "iM.data_AACACACTCCACAGCG-1", "iM.data_CTGATCCTCAGCATTG-1", "iM.data_GGAACCCGTGTTAAAG-1", "iM.data_CTACCTGTCTAGCCAA-1", "iM.data_CGACAGCAGCGTATAA-1", "iM.data_TTACAGGAGGTCGAGT-1", "iM.data_AGTACCAAGCCACTCG-1", "iM.data_CGCATAACAATAGGGC-1", "iM.data_TAGATCGAGGAGAGTA-1", "iM.data_CAAGGGATCTCGTGGG-1", "iM.data_CGTAATGTCGACGCTG-1", "iM.data_TGTCCCACACATCATG-1", "iM.data_ATTCATCTCGTAGTGT-1", "iM.data_ATTCTACGTGTGTCGC-1", "iM.data_TGAACGTCATGGTGGA-1", "iM.data_TGATGGTTCTGCATGA-1", "iM.data_AAGATAGAGAGAGCGG-1", "iM.data_GTCACGGTCATGTCAG-1", "iM.data_TTCCTAAGTCTCAAGT-1", "iM.data_GTGCAGCTCAAGCTGT-1", "iM.data_CTGGCAGAGGTACAAT-1", "iM.data_AGTAACCAGAGTCAAT-1", "iM.data_CGCATGGGTGAGCTCC-1", "iM.data_TAGACCACAACCAATC-1", "iM.data_GTTAGTGTCTACTCAT-1", "iM.data_CTTCGGTGTGGCAGAT-1", "iM.data_GTTCATTGTAAGATCA-1", "iM.data_TCAGGGCCAATTGGTC-1", "iM.data_AGTCACAGTTCAAGGG-1", "iM.data_CGGAATTCACATTCGA-1", "iM.data_GGGTTTACAGTAGTTC-1", "iM.data_AGGTCTATCGCTACGG-1", "iM.data_CAAGCTAGTTCCTTGC-1", "iM.data_TAGACTGCACGTATAC-1", "iM.data_ACGGGTCGTTAAGCAA-1", "iM.data_TACCGAACACAACGCC-1", "iM.data_AAGATAGGTAATTGGA-1", "iM.data_ATAGACCCAGAGTCAG-1", "iM.data_GGTGAAGAGACTTCAC-1", "iM.data_ATAGAGATCTGACAGT-1", "iM.data_CATTGCCCAGCGTTTA-1", "iM.data_TCATTGTTCCACTTCG-1", "iM.data_AACCATGAGAGTAACT-1", "iM.data_CTCCTCCAGTCACACT-1", "iM.data_AGGACGATCGCGATCG-1", "iM.data_AACCATGGTTGGGTTT-1", "iM.data_TGCATCCTCGGACTTA-1", "iM.data_TCCTAATCACCGTCTT-1", "iM.data_CTACCTGGTTAGGGAC-1", "iM.data_AGGATAAGTTGGACCC-1", "iM.data_TAACCAGCATAACCCA-1", "iM.data_CTTACCGTCTCTCCGA-1", "iM.data_TGCTCGTAGTAACAGT-1", "iM.data_TACTTGTTCAGTCTTT-1", "iM.data_TTCTGTATCTCGTGAA-1", "iM.data_AACCTGAAGGTCCCGT-1", "iM.data_TCAGCAAGTCTTTCTA-1", "iM.data_CTAACCCAGTAAACAC-1", "iM.data_CTTCTCTGTATCAGGG-1", "iM.data_ATACTTCAGCAGGGAG-1", "iM.data_ATGACCAGTAGGTGCA-1", "iM.data_GTAATGCTCCATACTT-1", "iM.data_AAGCATCCATGACTCA-1", "iM.data_GACCCAGAGCCAGACA-1", "iM.data_TCATTCATCTTCTTCC-1", "iM.data_TTTGATCCAGGTTCGC-1", "iM.data_TTTGGAGAGTCAAGCG-1", "iM.data_CGCGTGAGTTAGTTCG-1", "iM.data_GGTAGAGCATTCTCTA-1", "iM.data_GTTGCTCCATTCATCT-1", "iM.data_TCATTGTAGAGGCTGT-1", "iM.data_CTTCTCTTCGGATACT-1", "iM.data_AGGTTGTTCCTCAGGG-1", "iM.data_CTGTGAACAGAGCCCT-1", "iM.data_ATTTCTGGTCACTTCC-1", "iM.data_TGCGACGTCGGAACTT-1", "iM.data_AACAACCAGTGACCTT-1", "iM.data_GCTGGGTGTTCTTCAT-1", "iM.data_GAGGCAATCTGAGAAA-1", "iM.data_TGATGGTAGGGCGAAG-1", "iM.data_ATGAAAGGTCTTGCGG-1", "iM.data_CGAGAAGGTATTGCCA-1", "iM.data_GACCAATCATTCGATG-1", "iM.data_ATGAAAGTCCTTCGAC-1", "iM.data_CAATGACCACCCTCTA-1", "iM.data_AATGACCAGACTGGGT-1", "iM.data_GGGTTTAGTTGGAGAC-1", "iM.data_GAACTGTAGGTATTGA-1", "iM.data_GCGTGCATCATTTCGT-1", "iM.data_CACGTTCAGTAAGAGG-1", "iM.data_TGGGCGTTCTGAATCG-1", "iM.data_TATTCCACAACTCCCT-1", "iM.data_AAGGTAAGTTAGGGTG-1", "iM.data_ACTTTGTGTCAATGGG-1", "iM.data_GTTATGGGTCTGTGTA-1", "iM.data_CATACCCTCTGGTCAA-1", "iM.data_ACTATTCAGGCGATAC-1", "iM.data_TCAGCAATCTAACACG-1", "iM.data_TATCCTACAGCCTTCT-1", "iM.data_TATACCTCACTGAGGA-1", "iM.data_AGACCATAGTCACTGT-1", "iM.data_GTTACGATCTGTAACG-1", "iM.data_CCAATGAGTTACGGAG-1", "iM.data_GTTGCTCAGAGTCCGA-1", "iM.data_GTCTGTCCATAGACTC-1", "iM.data_ATTACCTGTCAACGCC-1", "iM.data_CGTCCATCATGAATCC-1", "iM.data_CGTAATGCACCAATTG-1", "iM.data_ATGAGTCCAAGTGACG-1", "iM.data_CCCATTGCAGAACTCT-1", "iM.data_AGTCAACGTCTTGAGT-1", "iM.data_CTCAAGATCCATGCAA-1", "iM.data_GTGTGATTCGTTCCCA-1", "iM.data_GATTCTTTCCACTAGA-1", "iM.data_ACGATCAAGTCTCCTC-1", "iM.data_GCGGAAACACCCGTAG-1", "iM.data_TCATCCGAGCATCAGG-1", "iM.data_CCCTTAGGTCGCAACC-1", "iM.data_GTGCGTGAGATGAACT-1", "iM.data_ACCCTTGAGCATATGA-1", "iM.data_GTGTTCCCATGGGTTT-1", "iM.data_GAAGTAATCACTGAAC-1", "iM.data_GAGTTTGTCTAACGCA-1", "iM.data_GAAGCCCGTAAGTTGA-1", "iM.data_GTGAGCCTCAGGACGA-1", "iM.data_GACCTTCCACGCTATA-1", "iM.data_TACTTGTTCGAACCTA-1", "iM.data_TCAAGTGCATCATTGG-1", "iM.data_GAGTGTTGTCAAAGTA-1", "iM.data_ACTTAGGCAGATCCAT-1", "iM.data_CATGCTCCAGAGGAAA-1", "iM.data_AAGACAAAGGCCTGAA-1", "iM.data_AAGCCATTCATCGCAA-1", "iM.data_ACAGGGATCGCACTCT-1", "iM.data_GGGCTACAGCCACTCG-1", "iM.data_TGGAGGAGTGGAAATT-1", "iM.data_AGCCAGCAGCCGGAAT-1", "iM.data_GAGTTGTTCCATAGGT-1", "iM.data_TCCTTTCTCGTGGCTG-1", "iM.data_ATGAAAGAGTCATCCA-1", "iM.data_ATTCTTGGTACGGGAT-1", "iM.data_CTGTGAACAATCTCGA-1", "iM.data_TACCGGGAGTTAGTAG-1", "iM.data_AACAACCAGCCTCTGG-1", "iM.data_TCGCAGGCACCCATAA-1", "iM.data_CCACAAAGTCTAGGTT-1", "iM.data_CCCTTAGAGCGAGTCA-1", "iM.data_ACAAGCTCACTAGGTT-1", "iM.data_TATTTCGAGCTGGCTC-1", "iM.data_TTGACCCCACAGACGA-1", "iM.data_GGCACGTGTTAGCGGA-1", "iM.data_TCCGATCGTATCGAGG-1", "iM.data_TCAAGCAGTGGCTGAA-1", "iM.data_CGTGAATAGACCACGA-1", "iM.data_CAACCAATCACCACAA-1", "iM.data_CAGCCAGCAATACGCT-1", "iM.data_TTCCTTCTCCGATAAC-1", "iM.data_ATCTCTAAGGTGGGTT-1", "iM.data_GCGATCGCAACCACAT-1", "iM.data_TGTGATGGTTATGTGC-1", "iM.data_AGAAATGAGACAGCGT-1", "iM.data_AGCTACAAGGGTGAAA-1", "iM.data_AACACACTCCGATAAC-1", "iM.data_TTAGTCTAGACCTGGA-1", "iM.data_TTCCGTGCAGGATTCT-1", "iM.data_AAACCCACAACAACAA-1", "iM.data_CAATGACGTGACGTCC-1", "iM.data_TTGGGCGAGTTGCTCA-1", "iM.data_GACGTTATCTGGGTCG-1", "iM.data_ATCCCTGCAGCTGCCA-1", "iM.data_CACGTGGAGAGAGCAA-1", "iM.data_GTATTGGTCCGACGGT-1", "iM.data_ACGATCATCTGATGGT-1", "iM.data_ATAGGCTTCACGAGGA-1", "iM.data_AAGATAGAGTGGTTAA-1", "iM.data_TTTAGTCAGGACAAGA-1", "iM.data_GGTTCTCAGAGGGTCT-1", "iM.data_TCCTAATAGTTAGAAC-1", "iM.data_TTTGTTGCACAAGTTC-1", "iM.data_ACTATCTGTCAGCGTC-1", "iM.data_TCATACTAGGTACAAT-1", "iM.data_TTCTAGTTCGCCGTGA-1", "iM.data_ATCATTCTCACCTTAT-1", "iM.data_AACGTCATCAAACTGC-1", "iM.data_CCTTCAGCAAATCAAG-1", "iM.data_CTCAGGGTCCCTTTGG-1", "iM.data_TTTACTGGTACCCGAC-1", "iM.data_TGGAGGATCGGCTATA-1", "iM.data_CAGAGCCCAGCGTTTA-1", "iM.data_CTCTGGTGTCATAACC-1", "iM.data_AACGGGAGTGGCTTAT-1", "iM.data_CTGTACCTCTAGCCAA-1", "iM.data_GGCAGTCAGTATGAAC-1", "iM.data_GTAGAAATCTTCGGTC-1", "iM.data_GTGTAACCACCGTCTT-1", "iM.data_CAGGGCTGTACCCGCA-1", "iM.data_TACGGTAAGCGAATGC-1", "iM.data_GAGACTTGTATCTCTT-1", "iM.data_ATTCTACTCAGCGGAA-1", "iM.data_AACACACCACAGTCGC-1", "iM.data_CTCCTTTAGTACAGAT-1", "iM.data_GTCCCATAGGATACGC-1", "iM.data_TAACACGTCCAAACCA-1", "iM.data_CATGGTAAGCTCTATG-1", "iM.data_ATGTCCCGTTTACGTG-1", "iM.data_GTTACAGTCGCCGTGA-1", "iM.data_TTACTGTTCTGTCTCG-1", "iM.data_GGAAGTGCATCGAACT-1", "iM.data_CAAGACTAGAGGTATT-1", "iM.data_TCTAACTGTTACCTGA-1", "iM.data_TACCCGTGTATCGGTT-1", "iM.data_AGTTAGCTCACTGATG-1", "iM.data_TCATTCAGTGTCATTG-1", "iM.data_GCCATGGCATGTTTGG-1", "iM.data_CACCGTTCACTTGTCC-1", "iM.data_AGAGAATAGAAGCCTG-1", "iM.data_GGGTGAAGTGCCGAAA-1", "iM.data_TTATTGCAGTGAGGTC-1", "iM.data_CCCAACTAGCTCTATG-1", "iM.data_CTATCCGTCTTTCGAT-1", "iM.data_TGTGAGTGTACCTTCC-1", "iM.data_CGGAACCGTGTTCGAT-1", "iM.data_GTAACCAGTTCTCGTC-1", "iM.data_GGATCTATCGGTCTAA-1", "iM.data_TTGCTGCGTGAGTAAT-1", "iM.data_GAAGTAATCGATTTCT-1", "iM.data_GTCATCCCACGCTGTG-1", "iM.data_ATTACTCTCGGATACT-1", "iM.data_CCACTTGCACGTACTA-1", "iM.data_AGCTACATCGACATAC-1", "iM.data_GGTAACTAGCCTGACC-1", "iM.data_GGGCTCAGTCTATGAC-1", "iM.data_CAGATACAGTTACGAA-1", "iM.data_GGATCTATCAAGTAAG-1", "iM.data_CTAACCCCATGGATCT-1", "iM.data_GGAGCAAGTAGAGTTA-1", "iM.data_AGCGCCAGTAGCACAG-1", "iM.data_CAGATTGCAAATAAGC-1", "iM.data_ATCCTATCATAGGAGC-1", "iM.data_TCTAACTGTTCTCTAT-1", "iM.data_TCATACTTCGAGAACG-1", "iM.data_TAATTCCAGCACCCAC-1", "iM.data_ACTCCCACATAGGTAA-1", "iM.data_CTTCTCTTCATTCCTA-1", "iM.data_GCCCAGATCGCATTAG-1", "iM.data_AGACCATCAACTTGCA-1", "iM.data_TCGCACTTCACCCTGT-1", "iM.data_TCTGTCGGTTTCTTAC-1", "iM.data_AGTTCGACAACGTTAC-1", "iM.data_CAGGGCTCACGTACTA-1", "iM.data_GTCCACTAGGCTTAGG-1", "iM.data_GGGCCATTCCCGTAAA-1", "iM.data_CATGGTATCTCGTTTA-1", "iM.data_TGGAACTAGGTACAAT-1", "iM.data_AACCTGACACTTGTGA-1", "iM.data_TCGCTTGGTGTTAACC-1", "iM.data_TGCACGGCAAGCGCAA-1", "iM.data_ATGGGAGGTAAGATAC-1", "iM.data_CGTCCATAGCCTCATA-1", "iM.data_ACGTCCTAGGTTAAAC-1", "iM.data_GGAACCCTCGCCTATC-1", "iM.data_GTAATGCAGAGCAAGA-1", "iM.data_CTACCTGCAGCCTATA-1", "iM.data_CTACTATTCGCTTACC-1", "iM.data_GTTGTAGAGGATGGCT-1", "iM.data_CAACGATTCGGATAAA-1", "iM.data_GGAGGATAGGCTAAAT-1", "iM.data_TTCAATCAGCAACAAT-1", "iM.data_CATCGGGTCTTTCTAG-1", "iM.data_AGACCCGCATGTCAGT-1", "iM.data_ATCATTCTCAACTTTC-1", "iM.data_GTTAGTGGTTACGTAC-1", "iM.data_TGATCAGAGTAAACAC-1", "iM.data_AGATAGACACAATCTG-1", "iM.data_GATCAGTCACATACTG-1", "iM.data_CTCATGCGTAGGCAAC-1", "iM.data_GGAATCTTCTGCGATA-1", "iM.data_CGGGCATGTCGCCACA-1", "iM.data_GGGTGTCGTTCTGACA-1", "iM.data_GCCAACGGTTTCTATC-1", "iM.data_CGTCCATAGGGCAACT-1", "iM.data_ACTTTGTGTTCGTTCC-1", "iM.data_CTCATGCCATTGTACG-1", "iM.data_CATCCACCACAAGCAG-1", "iM.data_CCACACTTCACACCGG-1", "iM.data_AGTTCGATCCCAAGCG-1", "iM.data_GACCTTCGTAACTTCG-1", "iM.data_AGTCAACAGTAGGAAG-1", "iM.data_AGACTCAAGGGTCACA-1", "iM.data_TGATGCACAGAACTTC-1", "iM.data_CATAGACGTTGGGCCT-1", "iM.data_CAGTTCCGTTACCCAA-1", "iM.data_CAGCGTGGTACGCTTA-1", "iM.data_AAGACTCCAAGCTACT-1", "iM.data_GGGCGTTGTCACGTGC-1", "iM.data_TCTCTGGCAAATACAG-1", "iM.data_CTGATCCGTAACGGTG-1", "iM.data_TGTTCTATCGCCCAGA-1", "iM.data_TTCGGTCAGCAGGCAT-1", "iM.data_AGGAGGTTCCTCATAT-1", "iM.data_TACGTCCCACGACCTG-1", "iM.data_CTTCTAATCCAGCACG-1", "iM.data_TATCAGGGTAGGTCAG-1", "iM.data_GACTGATCAGCTTTCC-1", "iM.data_TCAGTCCCAAGACCGA-1", "iM.data_CACCAAAAGGAGCAAA-1", "iM.data_TCCACCAGTCCGTTTC-1", "iM.data_TGAGGAGCATGAATCC-1", "iM.data_CCCTCTCTCAAGAGTA-1", "iM.data_TGAGGGACAGTAGGAC-1", "iM.data_TTACGTTTCTCCCTAG-1", "iM.data_CTCCTTTGTATCTTCT-1", "iM.data_GCAGGCTCACAGTCCG-1", "iM.data_GTAGCTAGTGAGATAT-1", "iM.data_ACCCAAACAGGAAGTC-1", "iM.data_TGCAGTATCCGGCAAC-1", "iM.data_CAATCGATCGATGGAG-1", "iM.data_GAATCACTCTGAGTCA-1", "iM.data_CCGGACACACGCGCTA-1", "iM.data_TTCGCTGTCCACGGAC-1", "iM.data_TGCCGAGCAGAATGTA-1", "iM.data_GCCATTCAGGGAGGTG-1", "iM.data_GCAGCTGAGACTCATC-1", "iM.data_CCTTTGGTCTCGCTCA-1", "iM.data_CCACGTTCAATTCACG-1", "iM.data_AAGGTAATCCCAATAG-1", "iM.data_TGACAGTAGCTATCCA-1", "iM.data_ATCAGGTTCCGGCAGT-1", "iM.data_GCAGCCATCTAGCCTC-1", "iM.data_TTGCCTGAGTGGATTA-1", "iM.data_TTTGGTTTCCTGGGTG-1", "iM.data_TCAATCTGTCGCACGT-1", "iM.data_AGTGCCGTCTTGCAAG-1", "iM.data_CCCTAACTCCGATCTC-1", "iM.data_CATGCTCTCTCACGAA-1", "iM.data_CCTTCAGTCAAAGGAT-1", "iM.data_AGGTTGTTCAGCGCGT-1", "iM.data_GACAGCCCAAAGCACG-1", "iM.data_ATTTCACGTTGCACGC-1", "iM.data_TCCTTCTTCCAACTGA-1", "iM.data_AATCACGCAAGCGATG-1", "iM.data_TCATTGTAGACGGTTG-1", "iM.data_TGTAAGCTCTCATTGT-1", "iM.data_TCCGTGTGTGCCTAAT-1", "iM.data_TATCGCCAGGAGATAG-1", "iM.data_TATCAGGGTGAGGATC-1", "iM.data_CGCAGGTAGAGCAGTC-1", "iM.data_TGCATGAAGGTTGGTG-1", "iM.data_GTGTTCCTCGGTAAGG-1", "iM.data_CAGATACTCAGTCTTT-1", "iM.data_TAGACTGAGCGCCCAT-1", "iM.data_TTCTAGTGTCAGTCCG-1", "iM.data_ATTCTACCATCATTGG-1", "iM.data_ATCGGATCAGCAGATG-1", "iM.data_AAAGGGCAGGGAGTTC-1", "iM.data_GAGTTTGAGGTTACAA-1", "iM.data_TTCCTCTTCGAGCCTG-1", "iM.data_TCATCATTCAGCATTG-1", "iM.data_ATGAGGGTCGCGTTTC-1", "iM.data_CACAGATGTAGCTGAG-1", "iM.data_TTTGACTAGCTACTAC-1", "iM.data_CCACGAGTCATCGGGC-1", "iM.data_GTTGAACCATGTTACG-1", "iM.data_AAACGAATCGACGATT-1", "iM.data_GTTACGACAGCTGTTA-1", "iM.data_TACCGAAGTGCAAGAC-1", "iM.data_GCCATTCTCCGTAGGC-1", "iM.data_CAGTTCCTCAGGAAGC-1", "iM.data_AGGATAAAGACTCATC-1", "iM.data_TCATCCGAGTTGGACG-1", "iM.data_CTTCGGTAGCCGGATA-1", "iM.data_GCACGGTTCATGAAAG-1", "iM.data_TAGCACATCGATAACC-1", "iM.data_ACCATTTTCCTTATCA-1", "iM.data_GACTCTCAGATTACCC-1", "iM.data_CTTTCAACAGCGGTCT-1", "iM.data_CCACGAGCAGCCTACG-1", "iM.data_ATTCTTGTCACCTCAC-1", "iM.data_GTGTTCCCACATTCTT-1", "iM.data_TTACAGGGTCCAGGTC-1", "iM.data_ATACCTTGTTCTCTAT-1", "iM.data_TTACTGTTCTAGTCAG-1", "iM.data_CATTCATGTTCGTGCG-1", "iM.data_TCTCTGGCAAGTCATC-1", "iM.data_GAGAAATAGGTGCAGT-1", "iM.data_CAGGGCTTCTCCGAAA-1", "iM.data_CTAACTTGTGTGATGG-1", "iM.data_CGATCGGGTGATGTAA-1", "iM.data_GGGTATTAGTAAATGC-1", "iM.data_CGTTGGGAGGCCTAGA-1", "iM.data_TGTTCTAGTACTAACC-1", "iM.data_GGATCTACAGTCTCTC-1", "iM.data_TGATGGTGTTGATCGT-1", "iM.data_AGCCAGCCATGACTAC-1", "iM.data_CACAGATAGCACGTCC-1", "iM.data_GTGCACGGTGGCCTCA-1", "iM.data_GATGACTAGCCAAGGT-1", "iM.data_GAGTTTGCAATAGGGC-1", "iM.data_GATTCTTGTAATGCGG-1", "iM.data_GTGAGCCCACCCAATA-1", "iM.data_GACGCTGAGAGCCGTA-1", "iM.data_ATTGTTCCAGAATTCC-1", "iM.data_GCATTAGTCATTTGCT-1", "iM.data_TATATCCCAGCCTATA-1", "iM.data_CCTAAGAAGAGAATCT-1", "iM.data_CATTTCATCACCGGGT-1", "iM.data_CAACAGTAGCGATGGT-1", "iM.data_CATAGACAGGGTAGCT-1", "iM.data_ATTCACTTCGCCCAGA-1", "iM.data_TGGCGTGGTAGGGAGG-1", "iM.data_TTCCACGCAACGAGGT-1", "iM.data_AGTACTGTCCCATACC-1", "iM.data_ATGCGATCACTCCTGT-1", "iM.data_TACTTGTAGACCTTTG-1", "iM.data_CAGGTATAGAGTCACG-1", "iM.data_TTTACCAAGGTACAAT-1", "iM.data_TCACTCGCAAATTAGG-1", "iM.data_CTGTAGAGTATAGGGC-1", "iM.data_GAGTCTACACAAATAG-1", "iM.data_GGTTCTCTCAGACTGT-1", "iM.data_GCCTGTTCAGCTACAT-1", "iM.data_AAGCCATTCGCTCTAC-1", "iM.data_CCTTCAGAGAATAACC-1", "iM.data_CTGCCTACAGGCTATT-1", "iM.data_TCACTCGTCCCAGGAC-1", "iM.data_GGGTATTAGGCGAACT-1", "iM.data_TGGAGAGGTTCCTAGA-1", "iM.data_ACCTGAAGTCCAAATC-1", "iM.data_AGTACTGTCCACCCTA-1", "iM.data_TCCCAGTAGAGATGCC-1", "iM.data_TGAACGTGTTAAGGGC-1", "iM.data_GGTAGAGCAGTATACC-1", "iM.data_ATCCACCCAAGGGCAT-1", "iM.data_GCAACCGGTGGGATTG-1", "iM.data_ACTCCCAAGTATGGAT-1", "iM.data_ACATCGAGTGTTAGCT-1", "iM.data_ATCTTCAAGTCATACC-1", "iM.data_CGGGCATAGACCATTC-1", "iM.data_TAAGTCGAGTCGTTAC-1", "iM.data_AGCCACGGTCTAATCG-1", "iM.data_GTCATGAGTATGGGAC-1", "iM.data_CTATAGGCACAGCATT-1", "iM.data_AGGTCTAGTCTACATG-1", "iM.data_CTTTCGGGTCGGTGAA-1", "iM.data_CTGCAGGTCAACGAGG-1", "iM.data_GCGTGCATCTACGCGG-1", "iM.data_CTGTGGGGTATGCTTG-1", "iM.data_CATGCTCCAGCTGCCA-1", "iM.data_GATCAGTCAACTCGTA-1", "iM.data_TGCAGATAGTTATGGA-1", "iM.data_AACAACCCAATGAAAC-1", "iM.data_GGGAAGTGTGCTCGTG-1", "iM.data_CTACATTGTCCTCAGG-1", "iM.data_TCATGGACACGCGCAT-1", "iM.data_AGTGCCGTCTTTGCGC-1", "iM.data_ACTTAGGGTTCTCGCT-1", "iM.data_TCTACATGTGCACAAG-1", "iM.data_CTGCAGGAGGGTGGGA-1", "iM.data_GTTACCCTCCCAACTC-1", "iM.data_TTCATTGTCGTCCTCA-1", "iM.data_CCTTCAGGTAGTTCCA-1", "iM.data_GAGGCCTGTCTGTCAA-1", "iM.data_AGGTAGGTCCCGAACG-1", "iM.data_AGTGATCGTATTAAGG-1", "iM.data_CGGAATTTCACACCGG-1", "iM.data_GCCATTCTCACCGCTT-1", "iM.data_CTCTCAGCACTGATTG-1", "iM.data_AGTAACCTCTCTCGAC-1", "iM.data_TCGCTTGTCTCGGGAC-1", "iM.data_TATTTCGCAGATACCT-1", "iM.data_AGAGAGCAGCCTCAAT-1", "iM.data_CTCGAGGCAATTGCTG-1", "iM.data_ACAGGGAGTGAATGAT-1", "iM.data_GTTACCCGTGACACAG-1", "iM.data_TCCTGCACAATGACCT-1", "iM.data_CCGCAAGGTATCGGTT-1", "iM.data_ATCGGATCAGGTCCCA-1", "iM.data_TGCTGAAAGGATCACG-1", "iM.data_TACACCCCACGGTAGA-1", "iM.data_ATCGATGAGCTGGCCT-1", "iM.data_CACAGGCCACCGTGGT-1", "iM.data_TCACACCGTCTGCGCA-1", "iM.data_GTTATGGGTAAGTTGA-1", "iM.data_TTCATTGAGTCACTCA-1", "iM.data_CATTCTACAGGCATTT-1", "iM.data_AAGCGTTCAGCGTACC-1", "iM.data_ACGTCCTTCCACGTGG-1", "iM.data_TATGTTCAGACATAGT-1", "iM.data_TTTACCATCTAACACG-1", "iM.data_AAGATAGTCTTCCGTG-1", "iM.data_TCTTTGAGTTGCAACT-1", "iM.data_ATTCGTTAGTAGCATA-1", "iM.data_CTCCGATTCGCCTCTA-1", "iM.data_GACCCAGAGAGATGCC-1", "iM.data_AGCTCAAGTAAGACCG-1", "iM.data_ATTCACTGTCACTCAA-1", "iM.data_CTCAACCTCCAATCCC-1", "iM.data_TCTACATGTCCTTAAG-1", "iM.data_GACCCAGGTCATCTAG-1", "iM.data_ACGGTCGCAAATAGCA-1", "iM.data_AGACCCGGTACGACTT-1", "iM.data_ATGAGGGGTCCATCTC-1", "iM.data_CATTCCGCACCAGTTA-1", "iM.data_CTTCTCTTCTACCACC-1", "iM.data_GATGAGGTCCCAACTC-1", "iM.data_AAGAACACACTAGTAC-1", "iM.data_CGATGGCGTACAACGG-1", "iM.data_CCCTTAGGTTTGTTGG-1", "iM.data_CACTGGGAGGCATCTT-1", "iM.data_TAGGGTTAGTGTAGAT-1", "iM.data_GGAACCCTCACATCAG-1", "iM.data_TAGGTTGCAGCGTTGC-1", "iM.data_AATCGACCACGGATCC-1", "iM.data_AGGGTTTAGGCGACAT-1", "iM.data_CACCGTTCAACGACAG-1", "iM.data_CTCCGATCAAACACGG-1", "iM.data_GCATGATAGCTGAGCA-1", "iM.data_GAACGTTTCTGCACCT-1", "iM.data_TTTACGTGTTGCCTAA-1", "iM.data_CATGAGTTCATTGTTC-1", "iM.data_TAGTGCAGTTCGTACA-1", "iM.data_CCTCAACCACAGCATT-1", "iM.data_CTAACTTTCAAGATAG-1", "iM.data_TACATTCAGCTTGTTG-1", "iM.data_TTGCCTGCAACTTGGT-1", "iM.data_AGCTTCCGTCTCACGG-1", "iM.data_GACCAATCACTTACAG-1", "iM.data_AGTTAGCCAATACCTG-1", "iM.data_GGGTTTATCTAAGCGT-1", "iM.data_GAAGCGAGTCGTCATA-1", "iM.data_ATCCTATCACAGTCGC-1", "iM.data_ATGGGAGGTCTACACA-1", "iM.data_CAGATCAGTGGAACCA-1", "iM.data_GAGTCATTCGTCTCAC-1", "iM.data_CTGTGGGCAAATGATG-1", "iM.data_AACGGGAAGGAGGTTC-1", "iM.data_GATGAGGGTTACGATC-1", "iM.data_TAAGCCATCTCTCCGA-1", "iM.data_AGGCTGCAGAGGGCGA-1", "iM.data_AGCCAGCAGACAGCGT-1", "iM.data_TACTGCCGTTCAAAGA-1", "iM.data_TTGTGTTCATGGAATA-1", "iM.data_ATCGGATTCCATTTAC-1", "iM.data_CAAGACTGTAACAGGC-1", "iM.data_TCATGCCTCGGCATCG-1", "iM.data_TTTGACTCAAAGGGTC-1", "iM.data_ATACCGATCGTCAACA-1", "iM.data_TATCTGTTCACCTTAT-1", "iM.data_ATTCACTCAGTTGGTT-1", "iM.data_TGTCAGAGTCCTGAAT-1", "iM.data_TGGCGTGAGAAACTAC-1", "iM.data_GACTATGAGACTCCGC-1", "iM.data_CCCTCAACAGCACGAA-1", "iM.data_TCGAACACACAAATAG-1", "iM.data_CTCAGAAAGTGGTTCT-1", "iM.data_CTCATGCGTCTTCGAA-1", "iM.data_TGGAGAGAGAGCCGTA-1", "iM.data_TATCTGTGTATGATCC-1", "iM.data_TGACAGTTCTTAAGGC-1", "iM.data_CTCCTTTTCCGCTGTT-1", "iM.data_CCTCTAGTCCTTATCA-1", "iM.data_GTTGCTCTCGAGTTGT-1", "iM.data_TGAATGCTCTCTCAAT-1", "iM.data_ACTCTCGAGTAAGAGG-1", "iM.data_CGAAGGAAGTGGCAGT-1", "iM.data_GTTGAACCAAAGGCGT-1", "iM.data_CCCAACTCATGAAGCG-1", "iM.data_CATCCACCATAACAGA-1", "iM.data_TGACAGTTCGCCTATC-1", "iM.data_GACTATGCACACACGC-1", "iM.data_GCCATTCTCACCGACG-1", "iM.data_GAGTTTGTCCATAAGC-1", "iM.data_AGCCAATCATCTCATT-1", "iM.data_ATTCGTTCAAGATCCT-1", "iM.data_GAAATGACAAGCCCAC-1", "iM.data_GACCAATCAATAGTGA-1", "iM.data_GCGTGCAAGCGCGTTC-1", "iM.data_CCTCTAGGTACCATAC-1", "iM.data_AAGACAAAGCAAATGT-1", "iM.data_AGAAGTATCTGGAAGG-1", "iM.data_CCATCACCACATGACT-1", "iM.data_TCATGCCTCATCTATC-1", "iM.data_GTTACGATCACTGTCC-1", "iM.data_CAGCAATAGACCTCCG-1", "iM.data_GGAGATGAGCACGTCC-1", "iM.data_TTCGGTCCAGGACATG-1", "iM.data_CCTAACCGTAGGCAAC-1", "iM.data_CTAGACAGTCTACGAT-1", "iM.data_GGGATGAGTACATACC-1", "iM.data_TGCAGGCCACAGTATC-1", "iM.data_AGTAACCAGTAGACAT-1", "iM.data_ATACTTCAGTCTGGTT-1", "iM.data_GTTATGGCACCGTCTT-1", "iM.data_ACCGTTCTCAGAGTTC-1", "iM.data_CAGCAGCCATCCGATA-1", "iM.data_TCCAGAAGTGACGTCC-1", "iM.data_CCGGTGAGTGCGTTTA-1", "iM.data_GTTGCGGCAATTTCGG-1", "iM.data_TCTGGCTAGCCTCTTC-1", "iM.data_AGGATAACAAGGGCAT-1", "iM.data_ATTTCACTCCCAGGCA-1", "iM.data_TTGAACGCAAACCGGA-1", "iM.data_TCTTTGAGTCCAGTTA-1", "iM.data_GGAATGGCACTTGAAC-1", "iM.data_ATTGGGTGTACAGGTG-1", "iM.data_TACGCTCCAACCCTAA-1", "iM.data_ATGAAAGGTGCCCAGT-1", "iM.data_ACTATTCCACCTGCTT-1", "iM.data_CCACACTCATGAGAAT-1", "iM.data_CTCCACATCTATCGCC-1", "iM.data_CATTCATCATGGGAAC-1", "iM.data_GTCTACCAGCACGTCC-1", "iM.data_ATTGGGTCATAGGTTC-1", "iM.data_TCAGTGATCAGTGGGA-1", "iM.data_GGGTATTAGTGAACAT-1", "iM.data_CAGCCAGAGATGATTG-1", "iM.data_TCACGGGGTATTTCGG-1", "iM.data_GTGGGAACAATTCGTG-1", "iM.data_GAAGCCCTCTGCTAGA-1", "iM.data_ATCACAGAGATTAGTG-1", "iM.data_TCACGGGGTGGTTTAC-1", "iM.data_GAGTTACTCTAGTGTG-1", "iM.data_CAGCACGTCGGCCCAA-1", "iM.data_ACGTAACCACAAGTTC-1", "iM.data_TAATTCCCAAGGTCGA-1", "iM.data_TCCTTTCAGACCACGA-1", "iM.data_TAGGGTTCAAACACGG-1", "iM.data_TGCTGAATCAATCCGA-1", "iM.data_ATTCCCGTCGAACCAT-1", "iM.data_TGGAGAGCACGAGGAT-1", "iM.data_AGATAGACACCGAATT-1", "iM.data_GCATCTCGTCTCGGAC-1", "iM.data_CGTAGTAGTGTAGTGG-1", "iM.data_TAAGCGTGTCTCCCTA-1", "iM.data_TTACAGGTCCGCACGA-1", "iM.data_CCGTTCAAGTTGTAAG-1", "iM.data_AATGACCCAATCTCTT-1", "iM.data_AGGGCCTCATACAGCT-1", "iM.data_CACAACAAGCGACTAG-1", "iM.data_GCGAGAAAGTAAGGGA-1", "iM.data_ATGAGTCCACTCACTC-1", "iM.data_TATTCCAAGGGACACT-1", "iM.data_CTCCGATTCACATCAG-1", "iM.data_ACCCTTGTCGTAACAC-1", "iM.data_GAGGCCTCACCTGAAT-1", "iM.data_GTGAGCCAGTCCCTAA-1", "iM.data_TTACGCCTCTTGGTCC-1", "iM.data_GCCAACGGTGAATAAC-1", "iM.data_GTTAGACTCTCCCTAG-1", "iM.data_GACTCTCAGACTTGTC-1", "iM.data_AGAACCTTCCCATTTA-1", "iM.data_CATTGAGTCCTTCTTC-1", "iM.data_GGAGAACTCCCTCTCC-1", "iM.data_CGAGTGCGTCCACTCT-1", "iM.data_ATCGGCGGTACGGCAA-1", "iM.data_CCACCATTCTTTACAC-1", "iM.data_CTCCCTCTCGCTTTAT-1", "iM.data_TTTGATCCATTCTGTT-1", "iM.data_CCTTCAGAGAACAGGA-1", "iM.data_GCGGAAAAGTATCTGC-1", "iM.data_GGAGAACTCCGTGGCA-1", "iM.data_CATCGCTTCGCTGTCT-1", "iM.data_GAAGCCCTCCTCACTG-1", "iM.data_CGGAGAAGTACTCGTA-1", "iM.data_CATTCCGCACGGTCTG-1", "iM.data_TTTACTGTCGTAGTCA-1", "iM.data_GCACTAACACCATAAC-1", "iM.data_GGTGTCGCAACCGTGC-1", "iM.data_GTTATGGTCACTAGCA-1", "iM.data_CGAGAAGCACGACTAT-1", "iM.data_TTGAGTGCATACCACA-1", "iM.data_TCAGGGCGTATCAAGA-1", "iM.data_GTCATCCCAGTGACCC-1", "iM.data_GTGCAGCTCCCATTCG-1", "iM.data_TCCTCGAAGGGAGGTG-1", "iM.data_AGCCAGCCACATGTTG-1", "iM.data_AGCTTCCAGGTCTGGA-1", "iM.data_TGTACAGAGCACTAAA-1", "iM.data_ATTCCTACAGGCACTC-1", "iM.data_ACCCAAACATGACGAG-1", "iM.data_AAAGTCCAGTGTCATC-1", "iM.data_ATCGCCTTCACGGGCT-1", "iM.data_GTAGTACGTACGGTTT-1", "iM.data_ATTGGGTCAAAGGGCT-1", "iM.data_GTAGATCAGGTCTGGA-1", "iM.data_GGGTGAACACAAAGTA-1", "iM.data_GTCTAGATCAAAGCCT-1", "iM.data_GGGTGTCAGCTGAGCA-1", "iM.data_TCCATGCCATGTGCTA-1", "iM.data_CATTTCAGTACGACTT-1", "iM.data_TCCTCGAAGTTACGAA-1", "iM.data_TTCCACGTCCCTATTA-1", "iM.data_TGCAGTAGTCGAACGA-1", "iM.data_TGATGCACAGTAGTTC-1", "iM.data_TCGGGCAGTCGGCCTA-1", "iM.data_TCTCACGAGAGTAACT-1", "iM.data_CCTCAGTGTTTACTTC-1", "iM.data_TACATTCGTGAACGGT-1", "iM.data_TGGGCTGCAGTTCTAG-1", "iM.data_CCACAAACAACCCGCA-1", "iM.data_CTCTCAGGTCTCACAA-1", "iM.data_AGATCCACAAGTGGAC-1", "iM.data_TGTTGAGCATCTATCT-1", "iM.data_ACCACAACATGACACT-1", "iM.data_AGTGACTTCTACTATC-1", "iM.data_TTGTGTTTCTAGTCAG-1", "iM.data_TCAGCCTAGCTCTTCC-1", "iM.data_TCGTAGACAGCCGTTG-1", "iM.data_GACCCTTCAATTGAGA-1", "iM.data_TCAATTCTCTTTCGAT-1", "iM.data_GTGTAACTCACCATCC-1", "iM.data_ACCCAAACAAATGAAC-1", "iM.data_TCATTCACAACACAGG-1", "iM.data_TCACATTTCCTACAAG-1", "iM.data_ATCCGTCCAAGTTTGC-1", "iM.data_CTGAATGCAGACTGCC-1", "iM.data_CTCAGTCTCCCGAACG-1", "iM.data_CGCATAAGTTCGGCCA-1", "iM.data_GTAACCATCTCCGTGT-1", "iM.data_AAGACTCTCGCTACAA-1", "iM.data_AAGAACAGTCCAAATC-1", "iM.data_TATTCCATCTGGCCTT-1", "iM.data_TTCCGTGGTAACTTCG-1", "iM.data_CGAGTTATCAAGCTTG-1", "iM.data_ACCACAAGTAACACGG-1", "iM.data_TAAGCGTTCTTCGACC-1", "iM.data_GGAATCTTCTAGACAC-1", "iM.data_GTCATGACAACTGGTT-1", "iM.data_AGGAAATGTGGAACAC-1", "iM.data_CGGAGAACATGAAGCG-1", "iM.data_AAGTGAAGTCTAGGTT-1", "iM.data_GAAGGACCAATACGAA-1", "iM.data_GAAGGGTTCCGGTAAT-1", "iM.data_GCACATAAGCTGGCTC-1", "iM.data_GACGCTGCAGAGTCAG-1", "iM.data_TAGGAGGCACCTATCC-1", "iM.data_TCGCACTGTCACGTGC-1", "iM.data_CATCCACCAAATTGGA-1", "iM.data_TTTGTTGGTAAGCTCT-1", "iM.data_CTTCCGACAAATGAGT-1", "iM.data_CGATCGGCATGTACGT-1", "iM.data_ACACAGTGTAGGGTAC-1", "iM.data_ACCAACAAGCCGATCC-1", "iM.data_CAACGATAGTTGTCAC-1", "iM.data_AGGACTTAGACGACTG-1", "iM.data_ATGGTTGGTAACATAG-1", "iM.data_CTATCCGCAAAGCGTG-1", "iM.data_GTGTGGCTCCCAGCGA-1", "iM.data_CAATCGAGTATTTCGG-1", "iM.data_GCAGGCTTCTTTGCAT-1", "iM.data_GCAGGCTTCATTCCTA-1", "iM.data_GAGGGTACACGCGCTA-1", "iM.data_TACGCTCAGGCATGGT-1", "iM.data_GCCAGGTAGAGGTTAT-1", "iM.data_CAGCACGCATAATGCC-1", "iM.data_CAGAGCCAGATGATTG-1", "iM.data_CCTCCAAGTGTATTGC-1", "iM.data_AGATGAATCGAACGGA-1", "iM.data_CCACACTTCTGACCCT-1", "iM.data_AATGCCACATGGCCCA-1", "iM.data_AGCCAGCCAATGACCT-1", "iM.data_CTAACCCCAGAGTCTT-1", "iM.data_CATTCCGTCGGCTTGG-1", "iM.data_AGTACCATCGCTGACG-1", "iM.data_AAGTGAAGTCAAGGCA-1", "iM.data_ATGTCTTGTTCTCACC-1", "iM.data_ACCATTTTCCGTAGTA-1", "iM.data_CAAAGAAGTAGAGACC-1", "iM.data_ACTCCCACACGAAGAC-1", "iM.data_CATTCTAAGAGTCCGA-1", "iM.data_ATCGATGCATTCATCT-1", "iM.data_ATGAGTCCACATATCG-1", "iM.data_CACCGTTAGGACTATA-1", "iM.data_TCGATTTGTGCGAACA-1", "iM.data_ACATCCCTCATCCTGC-1", "iM.data_TTCAGGAGTTGTCATG-1", "iM.data_AGGGTGAGTGGTTCTA-1", "iM.data_CCCTGATAGCCTGGAA-1", "iM.data_AAACGCTTCATGTCTT-1", "iM.data_CCACGTTGTGTGTCGC-1", "iM.data_AACGTCAGTTGCTCGG-1", "iM.data_TTTGATCGTCCTACGG-1", "iM.data_GGGTCACAGCAGGCAT-1", "iM.data_ATTCCATCAGCCTACG-1", "iM.data_TACACCCTCAAGGAGC-1", "iM.data_CCGATGGTCACGTCCT-1", "iM.data_GAAATGAAGCCAAGCA-1", "iM.data_GAAACCTTCCGCCTAT-1", "iM.data_TGAGTCAGTGACTAAA-1", "iM.data_TCAATCTAGTGCACAG-1", "iM.data_CCTACGTTCACTACGA-1", "iM.data_GCCGATGAGGTTCCAT-1", "iM.data_TCACTCGGTCACAGAG-1", "iM.data_TGCGATACAGAACATA-1", "iM.data_CCTCCAAAGTTCTCTT-1", "iM.data_TCCATCGCATAAGCAA-1", "iM.data_TAATTCCGTTGCTCCT-1", "iM.data_AGCCAATGTAAGATTG-1", "iM.data_CGAAGTTTCAGTCATG-1", "iM.data_CTGCATCAGCTGACCC-1", "iM.data_GACTCAACATGTGGCC-1", "iM.data_AATTTCCTCTCACTCG-1", "iM.data_TGTTTGTAGTACAGAT-1", "iM.data_GAGTTGTCAGGGAATC-1", "iM.data_ATGGGTTCACCTCTAC-1", "iM.data_GTAGGTTAGTGGTGGT-1", "iM.data_AACAAAGTCCGGACGT-1", "iM.data_GAGTTACAGAAACCAT-1", "iM.data_TGGGAGATCACCTGGG-1", "iM.data_GTGTTCCGTGCAACGA-1", "iM.data_CATTCTATCGACCACG-1", "iM.data_TTTGGAGCAGCACAAG-1", "iM.data_ATCTCTACAGTTGCGC-1", "iM.data_AGCGCCAGTCCCGTGA-1", "iM.data_GAATCACGTATCCCTC-1", "iM.data_CTACGGGGTTTGTTGG-1", "iM.data_CCACCATAGCGGACAT-1", "iM.data_GATGACTCAAGTCGTT-1", "iM.data_TCCCACACACGCGTCA-1", "iM.data_TGCCGAGGTTGCTGAT-1", "iM.data_TCGATTTAGCTAGTTC-1", "iM.data_CCGGACACATCAGCGC-1", "iM.data_AGACCATCATTGAAGA-1", "iM.data_TACACCCTCTGGGATT-1", "iM.data_TTGGATGCAGCGACAA-1", "iM.data_AGGGTGAAGTAGCAAT-1", "iM.data_CGGTCAGGTTGGTACT-1", "iM.data_GTAATGCTCGGCACTG-1", "iM.data_CGACAGCCACTCCGGA-1", "iM.data_CCACGAGAGTTCCAGT-1", "iM.data_GAGAGGTTCCAAGCCG-1", "iM.data_CTGAGGCAGTCTCTGA-1", "iM.data_ACCTGAAGTAGTGGCA-1", "iM.data_TCCGATCCAGCAGAAC-1", "iM.data_TCAGTCCAGCCTCCAG-1", "iM.data_GATGAGGCAACTGAAA-1", "iM.data_GATGAGGCAAGCGGAT-1", "iM.data_CTGTAGACACGTGTGC-1", "iM.data_TCATCCGGTAGTGATA-1", "iM.data_ATCGTGATCGTCTAAG-1", "iM.data_GCTACAATCCTGCTAC-1", "iM.data_GCTACCTAGTATGGAT-1", "iM.data_ATTCAGGCACCAGCCA-1", "iM.data_ACCCTCATCTTGTGCC-1", "iM.data_ACCACAAGTAACGTTC-1", "iM.data_GGGCTACAGATGGCAC-1", "iM.data_GTCATGACAACCGATT-1", "iM.data_GGTAATCTCGATACGT-1", "iM.data_CAGCACGCAACCGATT-1", "iM.data_AGTAGTCAGAGCAACC-1", "iM.data_ATCCCTGTCGGTCGAC-1", "iM.data_GGGAGATTCTTACCGC-1", "iM.data_TGTAGACGTGACCTGC-1", "iM.data_AATAGAGCACCAATTG-1", "iM.data_CTCCCAAGTCATTGCA-1", "iM.data_ATTACCTAGCATGAAT-1", "iM.data_AGCGTATTCGTGTTCC-1", "iM.data_GTAATCGGTACTGAGG-1", "iM.data_TTCCTAACAACCGATT-1", "iM.data_TGCATCCTCCCTAGGG-1", "iM.data_TTGCCTGAGATGAACT-1", "iM.data_TGGTACAGTCTACATG-1", "iM.data_CCTACGTCATCAGTGT-1", "iM.data_CTTGATTTCGACATAC-1", "iM.data_GGGTCTGAGTAAACAC-1", "iM.data_GCTACCTAGTGCAAAT-1", "iM.data_CGTAGTATCATGCAGT-1", "iM.data_AGGTCATCACTCCACT-1", "iM.data_CAAGAGGTCAAGGACG-1", "iM.data_CATACCCTCTATTCGT-1", "iM.data_TTGGGTAAGGCATCTT-1", "iM.data_GGGTATTAGAGCATCG-1", "iM.data_CTAGGTAAGCTCCACG-1", "iM.data_TATCTGTGTTAGGCTT-1", "iM.data_GATAGCTCACAAATCC-1", "iM.data_AATGACCCAGAGTGTG-1", "iM.data_CCTACGTGTTGTCCCT-1", "iM.data_CAATACGCATTGAAAG-1", "iM.data_TGGCGTGTCTCGTGGG-1", "iM.data_ATAGACCCAGTTTCAG-1", "iM.data_ACCTACCTCTTACGTT-1", "iM.data_TCTACCGTCGCTAATG-1", "iM.data_GAATCACTCTTTCTAG-1", "iM.data_AGACTCAGTTGCCTAA-1", "iM.data_CATCCGTAGGGATCTG-1", "iM.data_TAACGACCATTGGGAG-1", "iM.data_GGGACAAGTCCCAAAT-1", "iM.data_GTAGAGGAGTATGGAT-1", "iM.data_CACAGGCCAGGTCTCG-1", "iM.data_AGTTCGAGTGAATAAC-1", "iM.data_CTCCGATCATTCTTCA-1", "iM.data_TCTCTGGCACAATGAA-1", "iM.data_CCTTCAGGTAGTCTTG-1", "iM.data_TGGTACAAGCGGACAT-1", "iM.data_AGGGTCCGTGTTGCCG-1", "iM.data_TTCCGTGGTGAGCTCC-1", "iM.data_AAACGCTGTGACAGGT-1", "iM.data_ACGTCCTCACTTCCTG-1", "iM.data_GCAACCGTCGGAACTT-1", "iM.data_TATTCCACACACCTTC-1", "iM.data_GCTGGGTTCCCATTCG-1", "iM.data_ACCACAAGTACCACGC-1", "iM.data_CTAACCCGTCTCCCTA-1", "iM.data_ATCGCCTTCGAACACT-1", "iM.data_ATGCGATTCGAGGCAA-1", "iM.data_CGAGTGCTCTTGGTCC-1", "iM.data_TGTACAGAGAGAGGGC-1", "iM.data_CCATAAGTCTTTCTAG-1", "iM.data_TACACCCCAGAGTAAT-1", "iM.data_CTATCTAAGCGGACAT-1", "iM.data_GGGTCTGCAACGGTAG-1", "iM.data_TCATCATCACTGAGGA-1", "iM.data_CCTGTTGAGGGCAGTT-1", "iM.data_ATCGCCTGTGTCCATA-1", "iM.data_AAAGGGCCAACGCCCA-1", "iM.data_AGCCACGAGTCAACAA-1", "iM.data_GCTCAAAAGGTAAGTT-1", "iM.data_CTCAGTCAGGACTAAT-1", "iM.data_CTCAGAACAAGCGAGT-1", "iM.data_AGGCTGCAGGCATTTC-1", "iM.data_GTGTTCCCATCACAGT-1", "iM.data_TCATGGATCGACCATA-1", "iM.data_CATTGAGCATGGCCAC-1", "iM.data_CACGAATCATTCACAG-1", "iM.data_TGTCAGAAGTCTTGGT-1", "iM.data_CCACGAGAGGCACTAG-1", "iM.data_AGATCCAGTACTGTTG-1", "iM.data_TTCCGTGTCCATTGGA-1", "iM.data_ACCTGTCTCGTGCACG-1", "iM.data_AGAGAATCAGTTCACA-1", "iM.data_ATGAGTCCACGACAAG-1", "iM.data_TCAAGTGGTCAACGCC-1", "iM.data_TGCGATACAGACACAG-1", "iM.data_CACTAAGAGAAGTATC-1", "iM.data_CGAGAAGTCTTTCTAG-1", "iM.data_ATCGTCCCAGCACACC-1", "iM.data_GACGCTGCAGGGAATC-1", "iM.data_TGTTCCGGTACGATTC-1", "iM.data_TGGTACATCACTCGAA-1", "iM.data_TAGACCATCACACCGG-1", "iM.data_TCATATCGTATCCCAA-1", "iM.data_CTTCAATTCGAACGGA-1", "iM.data_TCCATGCTCGACATCA-1", "iM.data_GGCTGTGTCACTTTGT-1", "iM.data_AAAGTCCTCGTAATGC-1", "iM.data_CCACACTAGCAACAGC-1", "iM.data_CAGTGCGCATATTCGG-1", "iM.data_AGACCCGTCCTACACC-1", "iM.data_ATTCGTTTCTCACCCA-1", "iM.data_GCAGTTAGTTCCGCGA-1", "iM.data_CCACCATGTCAAGTTC-1", "iM.data_CATAGACAGACGGTCA-1", "iM.data_AGCCACGAGAGGGTCT-1", "iM.data_GCCCAGAAGCCATTTG-1", "iM.data_CAATTTCGTTGCGAAG-1", "iM.data_CGTTAGATCGCCTTGT-1", "iM.data_TTGGGCGGTCTGTAAC-1", "iM.data_GAGTTACGTCTCTCTG-1", "iM.data_TATACCTCAACATCGT-1", "iM.data_GAACACTGTGGAGAAA-1", "iM.data_TCTCCGAAGCCTATTG-1", "iM.data_TATGTTCAGGGTTGCA-1", "iM.data_CACTGAAGTACGTGAG-1", "iM.data_TCAGTGACAGAGGTTG-1", "iM.data_GAGAAATTCGTTCATT-1", "iM.data_TCTCACGTCGGAATGG-1", "iM.data_TTTACGTCAGACGCTC-1", "iM.data_TGACCCTCAGACACAG-1", "iM.data_TATTTCGGTTTACCAG-1", "iM.data_TCTGCCATCAGACTGT-1", "iM.data_ATAGGCTTCATTCGGA-1", "iM.data_TCCTCTTCAGGTCCCA-1", "iM.data_GTGCTGGTCGACGTCG-1", "iM.data_TCAATCTTCGCTGCGA-1", "iM.data_CATTCCGTCGCGTGCA-1", "iM.data_GGGTTATTCAAGCCAT-1", "iM.data_ACCAACAGTGAGCGAT-1", "iM.data_ACATCCCGTGGATCAG-1", "iM.data_TGAGTCAGTCTTCATT-1", "iM.data_TTCGATTAGCGTACAG-1", "iM.data_AATTCCTCAGAGTGAC-1", "iM.data_GGAACCCCAGAGTTCT-1", "iM.data_TCAGTCCTCGTGAGAG-1", "iM.data_CCTTCAGGTCACGCTG-1", "iM.data_CTAGGTAAGACATAAC-1", "iM.data_TGTTCCGCACAGACGA-1", "iM.data_GATCGTAGTCCACGCA-1", "iM.data_CATACTTGTCGCATGC-1", "iM.data_CAACGATTCCGTGGGT-1", "iM.data_GCCCAGAAGCTCGGCT-1", "iM.data_CCCGAAGCAGTTGCGC-1", "iM.data_AAAGTGATCTAGTGAC-1", "iM.data_AGTTCGAGTAATTGGA-1", "iM.data_CATACCCAGAGAACCC-1", "iM.data_AGACAAACAGACAAAT-1", "iM.data_GTTATGGTCTGGACTA-1", "iM.data_ACACCAAGTCCGCAGT-1", "iM.data_TTACCATGTGTAACGG-1", "iM.data_ACACAGTCATTCTCTA-1", "iM.data_TCCTCGACACTGGCGT-1", "iM.data_GGGAAGTGTTCCAGGC-1", "iM.data_GTTGCGGGTCGAAACG-1", "iM.data_TCGAAGTAGTCAACAA-1", "iM.data_TGAGGGATCACTACTT-1", "iM.data_CAGAGCCAGACTCCGC-1", "iM.data_ATGTCTTTCTCGCTCA-1", "iM.data_ACATGCACACTCCACT-1", "iM.data_CCTGTTGTCAAGATAG-1", "iM.data_ATAGGCTTCAATCCGA-1", "iM.data_AGCCAATTCTCCAATT-1", "iM.data_CGGAATTCACATGACT-1", "iM.data_TGGATGTCAGGTTCGC-1", "iM.data_CAATGACGTTGTGTTG-1", "iM.data_GTAAGTCGTCGACTTA-1", "iM.data_CGATCGGGTCACCACG-1", "iM.data_CCATCACTCGATGCAT-1", "iM.data_CGAGAAGAGCAGCCTC-1", "iM.data_AGCTCAAGTAGTCTGT-1", "iM.data_TTGGGATTCCCTCGAT-1", "iM.data_GGGCCATTCGATCCAA-1", "iM.data_GGGACAACACAGTATC-1", "iM.data_CGGAACCTCCACGGAC-1", "iM.data_AGTCTCCTCCTCAGAA-1", "iM.data_GCAACATGTAGGAAAG-1", "iM.data_TTCCTAAGTCTTCATT-1", "iM.data_TCCTAATCAGCAGTTT-1", "iM.data_TCAATTCGTCCTTGTC-1", "iM.data_ACCACAACAGCTGAGA-1", "iM.data_AGGAGGTGTATGAGAT-1", "iM.data_GTAGGTTCAACCCTCT-1", "iM.data_GGTAGAGAGTACGTCT-1", "iM.data_CAGCAATTCAACTTTC-1", "iM.data_GGGTTTAGTGAGGCAT-1", "iM.data_TACTTACCACAGAGCA-1", "iM.data_TATCGCCAGAAGTATC-1", "iM.data_GACCGTGAGGGACAGG-1", "iM.data_CCTTGTGCAGTGTATC-1", "iM.data_TTCGCTGAGAGTTGAT-1", "iM.data_TGGAGGAGTATGGTAA-1", "iM.data_TCTATACTCGACATAC-1", "iM.data_TATCGCCTCTTTGATC-1", "iM.data_CCTCCTCCATAGAGGC-1", "iM.data_GTTGTCCTCCCTCGTA-1", "iM.data_CTCCGATTCTCGTGAA-1", "iM.data_TGCTCCACATACAGAA-1", "iM.data_TTGCTGCTCTCTCAAT-1", "iM.data_GTGAGGATCTATTTCG-1", "iM.data_TCCTCTTGTTCTCCAC-1", "iM.data_CCCTGATAGCGACTTT-1", "iM.data_AGACACTGTGTTCATG-1", "iM.data_AGAACCTCATACCAGT-1", "iM.data_GAGTTGTCACTAACGT-1", "iM.data_TTTCATGCAGCATCTA-1", "iM.data_CCATCACTCTTTCAGT-1", "iM.data_ACTGTCCTCAAGAGGC-1", "iM.data_ACCAACACAGAATGTA-1", "iM.data_TGGATCATCGTTCTGC-1", "iM.data_ATGCCTCCACAGCCTG-1", "iM.data_CATTGAGTCTGCACCT-1", "iM.data_TCAATTCTCCGCACGA-1", "iM.data_AGCCAATTCATTTACC-1", "iM.data_CATCCCAGTTCGTAAC-1", "iM.data_GTCCTCACAGGTGACA-1", "iM.data_TCACGGGCATGGACAG-1", "iM.data_ATACCGACATCTCGTC-1", "iM.data_AGAGCCCTCAAGCTTG-1", "iM.data_TGGCGTGCAAGGGCAT-1", "iM.data_TGTTGGACAAAGGCTG-1", "iM.data_CATACCCCAAGAGTTA-1", "iM.data_CCGGTGAGTATTTCTC-1", "iM.data_TGCTCGTAGCCTCTGG-1", "iM.data_GCCAGGTTCACCTCAC-1", "iM.data_GCTGAATAGAAACTGT-1", "iM.data_AGGGTCCTCTACGGTA-1", "iM.data_AGACACTGTTAGTCGT-1", "iM.data_GTCTCACGTCAACACT-1", "iM.data_CGAGGAACAGAATGTA-1", "iM.data_CTTCAATTCAATGCAC-1", "iM.data_TGGGCGTTCACATTGG-1", "iM.data_CTCCTTTTCCAGTTCC-1", "iM.data_AAAGTGAGTTGTACGT-1", "iM.data_GACGCTGTCCGTTGGG-1", "iM.data_AATGGCTCACAACGAG-1", "iM.data_GCTCAAACAGGGAATC-1", "iM.data_CATTCCGTCGTCGACG-1", "iM.data_GCGGATCGTATTAAGG-1", "iM.data_AGTGTTGCACCTGCAG-1", "iM.data_CTTCTAAAGGCACTAG-1", "iM.data_GCAACATCAAATGGAT-1", "iM.data_TATCTTGTCGGCTTCT-1", "iM.data_TGGCGTGAGTAGAATC-1", "iM.data_TTTATGCGTCATACCA-1", "iM.data_GCAGCCATCACCGGTG-1", "iM.data_ATCATTCTCGGCTTCT-1", "iM.data_CAATGACTCCCGTTCA-1", "iM.data_GGGCTCAAGTTGGGAC-1", "iM.data_TCAGCAAGTGGATGAC-1", "iM.data_TACAACGCATGGCTGC-1", "iM.data_ACGGTTACAGGAGACT-1", "iM.data_GAGTCATTCTTGGAAC-1", "iM.data_TCATCCGCATGAGTAA-1", "iM.data_AGCGATTGTACCTAGT-1", "iM.data_TCGCTCACAAGTGCAG-1", "iM.data_TTGATGGTCCTTATGT-1", "iM.data_AGTCAACAGTTGCCCG-1", "iM.data_CGGAACCGTCACCCTT-1", "iM.data_TTGCATTAGATAGTGT-1", "iM.data_GACATCAGTGTCCGGT-1", "iM.data_GGGTGTCAGCTCCGAC-1", "iM.data_TGATTCTGTAACAGTA-1", "iM.data_GCCAGGTGTTAAGACA-1", "iM.data_CTTGATTCACCTCTAC-1", "iM.data_GCGGAAAGTGCGAACA-1", "iM.data_CATGCTCCAAACCACT-1", "iM.data_TCGGGTGGTTACACTG-1", "iM.data_CACGTTCGTTGTAGCT-1", "iM.data_CAAGGGAGTTGAGAGC-1", "iM.data_TAGACTGCACTTGTCC-1", "iM.data_TCAGTTTAGACCATTC-1", "iM.data_GAGAGGTAGTGATAGT-1", "iM.data_GTTAGACGTACAGCGA-1", "iM.data_ATTCCATTCTGACAGT-1", "iM.data_CATTCATGTTCTCCAC-1", "iM.data_TGTGGCGTCACTCGAA-1", "iM.data_GGGACAAAGAGATCGC-1", "iM.data_CGGGTCACAAACCATC-1", "iM.data_CAGGTATTCGGAAACG-1", "iM.data_CACAACATCCATTGGA-1", "iM.data_GCCAACGCAATAAGGT-1", "iM.data_AGACCCGAGCACCCAC-1", "iM.data_ACATTTCGTATCCCTC-1", "iM.data_CTTGATTCACTATGTG-1", "iM.data_TACAACGTCGAGTGGA-1", "iM.data_GTCCTCACAGACCCGT-1", "iM.data_CATTGTTCAACACAGG-1", "iM.data_ACAGGGAAGCGTCTGC-1", "iM.data_TCTCACGTCTCTGAGA-1", "iM.data_CTGTATTAGTGAACAT-1", "iM.data_ATCACTTTCCAGCCTT-1", "iM.data_AGCCAATGTATTCTCT-1", "iM.data_TGCTTCGGTGGCAGAT-1", "iM.data_CCGGGTAAGGTTGAGC-1", "iM.data_TCCATCGCAATTGCTG-1", "iM.data_TAATTCCAGCCTCTCT-1", "iM.data_TGCTTGCTCGGACCAC-1", "iM.data_TGGATCACAACATCGT-1", "iM.data_TGGTAGTTCCGCACGA-1", "iM.data_CAATTTCAGACCTCCG-1", "iM.data_CACTTCGCATACCAGT-1", "iM.data_TAGACCATCGCACGAC-1", "iM.data_CATCCGTTCAGTAGGG-1", "iM.data_CCACTTGTCTTCTGTA-1", "iM.data_CGCAGGTAGCGTTCAT-1", "iM.data_GGCACGTTCACTCACC-1", "iM.data_ACCCTCAAGACTTAAG-1", "iM.data_ACACAGTCAGCACAGA-1", "iM.data_GACGTTATCTACCACC-1", "iM.data_GTGTAACTCGTGGCTG-1", "iM.data_CGTTCTGTCTACTTCA-1", "iM.data_AGATGCTGTACAGTTC-1", "iM.data_ACTTCGCTCACCTACC-1", "iM.data_CTCTCAGCACACGGTC-1", "iM.data_GGGTCACTCGCAGTTA-1", "iM.data_GGAGCAAAGCCTTTCC-1", "iM.data_ACCTGAATCAGTGATC-1", "iM.data_AGTTAGCCACTTCCTG-1", "iM.data_CCTATCGCAACAAAGT-1", "iM.data_TCCTCCCAGAGATCGC-1", "iM.data_ACCCAAAAGAACTTCC-1", "iM.data_CAAGAGGCAACGGCTC-1", "iM.data_GTAGCTACACTGAGGA-1", "iM.data_TGCATCCTCAGTGTTG-1", "iM.data_CTATCTAGTTTGGAAA-1", "iM.data_CCTCACAGTCCACATA-1", "iM.data_GCACGGTTCGAGCCTG-1", "iM.data_GGGTTTAAGCTAAGTA-1", "iM.data_AAGTACCGTTTCGATG-1", "iM.data_TCGTAGAGTCCCTCAT-1", "iM.data_ACTTAGGAGACAACTA-1", "iM.data_TTGCCTGTCTCACTCG-1", "iM.data_GTAGAGGCACGGCCAT-1", "iM.data_GAGACCCAGGCGTTAG-1", "iM.data_GGGAAGTGTTAAGCAA-1", "iM.data_TTACGCCGTAGCGTCC-1", "iM.data_GCCTGTTTCTCGGTCT-1", "iM.data_CCCAACTAGGCTTAAA-1", "iM.data_AACAACCGTTAAGACA-1", "iM.data_TAGACCAGTGTCGCTG-1", "iM.data_GCAGTTAGTCCACTTC-1", "iM.data_CTCCACAAGCGCTGCT-1", "iM.data_AGGCCACCACGGGTAA-1", "iM.data_ATTACCTAGCGAGTCA-1", "iM.data_GTCATTTAGTTCACTG-1", "iM.data_AAATGGAAGTAAGACT-1", "iM.data_CTTCTAACAAGCGAGT-1", "iM.data_AGCGTATAGTCGTTAC-1", "iM.data_CGACAGCAGGCCTGAA-1", "iM.data_GGATCTACAGATCCTA-1", "iM.data_AAGCATCAGCTTAAGA-1", "iM.data_TAAGCACAGTCCGTCG-1", "iM.data_TAAGCGTCAACTAGAA-1", "iM.data_CGTAGTAAGACCCGCT-1", "iM.data_GTGATGTTCGCATAGT-1", "iM.data_TCAAGTGGTGTTGAGG-1", "iM.data_CTTACCGTCAAGCTTG-1", "iM.data_GCGAGAAGTAGAGGAA-1", "iM.data_TTCCGTGTCCAACCAA-1", "iM.data_CAGTTCCTCCCGAATA-1", "iM.data_TTTGACTTCTTCTAAC-1", "iM.data_TTACAGGAGACATACA-1", "iM.data_ATTTCACGTTGTTGAC-1", "iM.data_AGGCCACTCCGTACGG-1", "iM.data_CAGATACTCCCGAGGT-1", "iM.data_CGTCCATCACGAAGAC-1", "iM.data_ACTTCGCGTATCGCGC-1", "iM.data_CATTCCGCATTAGGAA-1", "iM.data_TTGAGTGGTCCTCAGG-1", "iM.data_TGGTACAGTTCGTGCG-1", "iM.data_AGACTCACATGAAAGT-1", "iM.data_TGGTACAGTTGCAAGG-1", "iM.data_AGGAGGTCAAAGACGC-1", "iM.data_CAATACGAGAAGAACG-1", "iM.data_AATGGAATCCGAGCTG-1", "iM.data_GTACAGTCATCTCGTC-1", "iM.data_GACACGCCATCTAACG-1", "iM.data_CTGTACCAGTCTCGTA-1", "iM.data_TCCCATGAGGGCAGGA-1", "iM.data_ATACCTTCACATAACC-1", "iM.data_GAGTTACTCTCGCTCA-1", "iM.data_TGGGAAGCAAGCACAG-1", "iM.data_CCTCACAGTCCAAATC-1", "iM.data_TAGGGTTTCTCGCTCA-1", "iM.data_ACATGCATCCTCTCGA-1", "iM.data_GAGTTTGTCGATGCAT-1", "iM.data_TTACGCCGTTTCTATC-1", "iM.data_AGGGCCTCACAGACGA-1", "iM.data_CTCATTACAATGTTGC-1", "iM.data_AGTCTCCTCATGCTAG-1", "iM.data_GAGATGGCAGACACAG-1", "iM.data_TCCAGAAGTAGCGTAG-1", "iM.data_CTGGTCTTCCAACTGA-1", "iM.data_ATCAGGTGTGACGTCC-1", "iM.data_GCGATCGCATCATTGG-1", "iM.data_CAGCCAGTCCGTGCGA-1", "iM.data_TGGGTTAGTCCAAAGG-1", "iM.data_CATCGCTAGTAAAGCT-1", "iM.data_GCCCGAAAGAACAGGA-1", "iM.data_CATGGTATCTGCATAG-1", "iM.data_GCACTAATCCATTTCA-1", "iM.data_AAACGAAAGCTAGTTC-1", "iM.data_TTCCTTCCAGACCGCT-1", "iM.data_ACACGCGTCCAAGAGG-1", "iM.data_ACGATGTCAATATCCG-1", "iM.data_CCTAAGATCTGGACCG-1", "iM.data_GGAGGTACATTCTCTA-1", "iM.data_TTGCCTGAGGGTTGCA-1", "iM.data_TCATTACGTGCACAAG-1", "iM.data_GTATTTCAGCCTCTCT-1", "iM.data_GTCCCATTCCAGCAAT-1", "iM.data_GTCAAACAGATACATG-1", "iM.data_GAAGTAACATGACGGA-1", "iM.data_CTTGATTTCGAACGGA-1", "iM.data_ACGGTTAAGGTACATA-1", "iM.data_AGCATCATCCGATAAC-1", "iM.data_CATGGATGTTTGGGTT-1", "iM.data_TACGCTCTCCTTCTGG-1", "iM.data_GTCATCCCAGGTTCGC-1", "iM.data_CTCACTGAGGTGCTGA-1", "iM.data_TGAATCGGTAGGTAGC-1", "iM.data_CACGTGGCAGCCTACG-1", "iM.data_TTACGTTCATCTTCGC-1", "iM.data_TACCCACCAGAGAATT-1", "iM.data_GACCTTCTCATCGTAG-1", "iM.data_GTAATCGCAGACATCT-1", "iM.data_AGTCTCCTCCAGTGCG-1", "iM.data_GCTTGGGCACATTGTG-1", "iM.data_GCTACCTTCACCTCTG-1", "iM.data_GTAGAAAAGGGATCTG-1", "iM.data_GTCATGAAGTCCCGGT-1", "iM.data_TAACACGTCCTATTTG-1", "iM.data_ATCCGTCTCGCTACAA-1", "iM.data_GCTACAACACAGCCAC-1", "iM.data_GTATTTCCATCCTCAC-1", "iM.data_TCTCTGGGTTCCTACC-1", "iM.data_AGAAATGTCCGAGTGC-1", "iM.data_TTCATTGTCATGTCTT-1", "iM.data_CCACGTTCATCGTCCT-1", "iM.data_AGATGAACAATGCAGG-1", "iM.data_ACAGCCGCAGTGAGCA-1", "iM.data_AGTTCCCTCCCATAAG-1", "iM.data_CCGGTAGCAATGTTGC-1", "iM.data_CGGACACGTATTCCTT-1", "iM.data_ACGTAGTTCCACTAGA-1", "iM.data_GGGATCCAGCCTTTGA-1", "iM.data_TATACCTTCCCAACTC-1", "iM.data_GAATCGTCAGGAGGTT-1", "iM.data_GTAATGCGTCCGTACG-1", "iM.data_TACACCCGTGCCGGTT-1", "iM.data_TTCACGCAGCAACAAT-1", "iM.data_AGGGTCCCATGAATCC-1", "iM.data_GTCATGACACCGTACG-1", "iM.data_TACATTCTCGGTGCAC-1", "iM.data_CACTAAGTCCGTAGGC-1", "iM.data_GGGCTACCATCCTATT-1", "iM.data_TCATTACCAACCCTAA-1", "iM.data_TACGGGCAGTATAACG-1", "iM.data_CTGCCTAGTCCTCCAT-1", "iM.data_GTCAAACGTATTTCTC-1", "iM.data_TCAATTCTCGGATAAA-1", "iM.data_CTCCACATCCGTGACG-1", "iM.data_GAGGGTATCGTGGACC-1", "iM.data_CTCATTATCATTCACT-1", "iM.data_TTGAACGAGCTAAACA-1", "iM.data_CAACCAATCTGGGAGA-1", "iM.data_AGAAATGCAATCAAGA-1", "iM.data_CGATGCGAGCGGCTCT-1", "iM.data_CCACACTGTGATTGGG-1", "iM.data_TGTGCGGAGCACCCAC-1", "iM.data_AGTAGTCAGTTGTCAC-1", "iM.data_AACCACACATCAGCAT-1", "iM.data_CGAATTGGTTACGTAC-1", "iM.data_CCGTAGGCAGCGTTGC-1", "iM.data_TCCCACAAGCCTGGAA-1", "iM.data_ACTTTCACATTATGCG-1", "iM.data_AGCTACACATAGAGGC-1", "iM.data_TGGTAGTAGACCTCAT-1", "iM.data_GTCAAACGTTTATGCG-1", "iM.data_TCGCTTGTCGTCCTCA-1", "iM.data_CATTCCGGTATGCTAC-1", "iM.data_GTCCCATGTGATAGTA-1", "iM.data_AAGCGTTTCGCGCTGA-1", "iM.data_CACGTGGCACACACGC-1", "iM.data_CCCTCAACAGTTACCA-1", "iM.data_ATAGACCCAGCTAACT-1", "iM.data_TTCACCGGTTATCTGG-1", "iM.data_ATACTTCTCGAACGCC-1", "iM.data_ATGCATGTCACTACGA-1", "iM.data_ACAGGGAAGCTGTCCG-1", "iM.data_TATATCCAGGTGCCTC-1", "iM.data_CACGTTCGTATTGACC-1", "iM.data_TGACTCCTCTGAATGC-1", "iM.data_TTGGGCGCATACTGTG-1", "iM.data_AAAGGGCGTTCTGAGT-1", "iM.data_TAGGGTTCACTCTAGA-1", "iM.data_ATTCAGGTCTCATGCC-1", "iM.data_GTGTGATCAGTTGCGC-1", "iM.data_TCGCAGGGTTATAGAG-1", "iM.data_AGACAGGAGAGGTGCT-1", "iM.data_TAATCTCGTGGCATCC-1", "iM.data_AAATGGACACTTCTCG-1", "iM.data_CATGCAACATGACGAG-1", "iM.data_TAACGACGTAACACCT-1", "iM.data_GATGATCCAACTGCCG-1", "iM.data_CGGAATTCACTTCAGA-1", "iM.data_GGAATCTGTGGGCTCT-1", "iM.data_TTGACCCAGGCAGGTT-1", "iM.data_TGCAGGCCATAGATGA-1", "iM.data_GATGTTGAGCCTAACT-1", "iM.data_ATGTCCCCATGCCGCA-1", "iM.data_CATCCACGTTGTATGC-1", "iM.data_TCCTTTCCACGCGTGT-1", "iM.data_CGCATAATCAACTGGT-1", "iM.data_GAGGCAAGTCGCAGTC-1", "iM.data_CACGTTCTCGCCTTGT-1", "iM.data_TCATTCAGTTGCTCCT-1", "iM.data_AAGTACCTCATGCCCT-1", "iM.data_TTCAATCCACGTGTGC-1", "iM.data_CCCAACTAGCACACAG-1", "iM.data_TAACGACCATCGCTCT-1", "iM.data_ATCCCTGGTCTCAGGC-1", "iM.data_TCTGCCATCCAGTGTA-1", "iM.data_CGCCATTCATAAGCAA-1", "iM.data_AAGACAAGTATCGCGC-1", "iM.data_TATATCCCAATCCAGT-1", "iM.data_TGCTGAACATCGATCA-1", "iM.data_TGAGGTTCAGCACCCA-1", "iM.data_TTCTTCCTCGCCTATC-1", "iM.data_TTCCTCTTCGAAGCCC-1", "iM.data_TAGTGCATCGCAGTTA-1", "iM.data_TGCTTGCAGGCAATGC-1", "iM.data_ATCGTAGCAAGCAATA-1", "iM.data_CAGATCAGTGATTAGA-1", "iM.data_CTTTCAACACACACGC-1", "iM.data_AAAGGATCAACGGCTC-1", "iM.data_CGAGTTATCGGCCCAA-1", "iM.data_TTGTGGAGTGCCTACG-1", "iM.data_GATTTCTGTTGCACGC-1", "iM.data_GGGCCATTCGTTCATT-1", "iM.data_TGTAAGCTCCCGTAAA-1", "iM.data_TTCCAATGTCGCCTAG-1", "iM.data_TACATTCTCGCACGAC-1", "iM.data_TCATACTGTAGCTTGT-1", "iM.data_TCACATTCATGAATCC-1", "iM.data_TCCTGCATCCGTACGG-1", "iM.data_CATTCATCAAAGGCGT-1", "iM.data_TATCTTGAGCCTGAGA-1", "iM.data_AGAAATGTCAAGCCCG-1", "iM.data_TCACTATTCTGGGCCA-1", "iM.data_GCGTGCAAGACCAGCA-1", "iM.data_ATGAAAGCATGATCTG-1", "iM.data_CATTGTTAGCAACTCT-1", "iM.data_AAGACAAGTATTGGCT-1", "iM.data_CACGTTCAGGTTCATC-1", "iM.data_TGCAGGCTCATCTGTT-1", "iM.data_ATCCACCCAGGCATTT-1", "iM.data_CTCATCGCATTCATCT-1", "iM.data_TTCCACGCACTGAGGA-1", "iM.data_CCGTTCAGTTTGCCGG-1", "iM.data_AGGCTGCTCTCCCATG-1", "iM.data_CATCAAGCAAGGCAAC-1", "iM.data_GTTCTATAGGCACTCC-1", "iM.data_GACTGATTCATGACAC-1", "iM.data_TGACGCGGTCCATCTC-1", "iM.data_GAGTTGTAGACCATTC-1", "iM.data_CTCCATGGTCCACAGC-1", "iM.data_AACCAACAGCTAGCCC-1", "iM.data_TACTGCCAGAAACCCG-1", "iM.data_AGGACGACACTGTGAT-1", "iM.data_TGCCGAGTCTATCGCC-1", "iM.data_AGGTTACTCTGCACCT-1", "iM.data_CATACAGCATAGTCAC-1", "iM.data_AGGGTTTAGGCTTCCG-1", "iM.data_ATGGGAGAGTCTACCA-1", "iM.data_AAGAACAGTGCGAACA-1", "iM.data_AGTGCCGGTTAATGAG-1", "iM.data_CGAGGAACAGCTGCCA-1", "iM.data_CCTCTCCCAACGACTT-1", "iM.data_CAATTTCAGCAATTAG-1", "iM.data_TCAGCCTGTCTGCGCA-1", "iM.data_GCCTGTTCAACGACTT-1", "iM.data_TTGTGGATCCGAAGGA-1", "iM.data_ACTTCCGTCACGATCA-1", "iM.data_GAAGAATAGACCTCAT-1", "iM.data_CTCACTGGTGTCCACG-1", "iM.data_GTAATGCAGGTTGGTG-1", "iM.data_CCACTTGCAACCAATC-1", "iM.data_CATAGACCATACAGCT-1", "iM.data_TACGGGCTCACGGACC-1", "iM.data_ATGGATCCATCGCCTT-1", "iM.data_TCACACCTCTCTCTTC-1", "iM.data_GAATCGTTCAGTCATG-1", "iM.data_CTAAGTGCACGATTCA-1", "iM.data_CTCATCGAGGCTGAAC-1", "iM.data_TCGCAGGTCTCGGTCT-1", "iM.data_TCAAGACTCGGATTAC-1", "iM.data_GCCATTCAGTCACACT-1", "iM.data_GTCCACTTCCAGCTCT-1", "iM.data_CCTCAACAGATTGAGT-1", "iM.data_AAGCGTTAGCAGAAAG-1", "iM.data_AGTGATCTCGTCCATC-1", "iM.data_GACCGTGGTTACGATC-1", "iM.data_TGTTCATAGGTTAAAC-1", "iM.data_CCTAACCCACTGAATC-1", "iM.data_GTAAGTCCAACGACAG-1", "iM.data_TCAAGCACATCATTGG-1", "iM.data_GGGCGTTTCTCTGCTG-1", "iM.data_AATCACGTCCTAAACG-1", "iM.data_TTTCACAGTTGCTTGA-1", "iM.data_TAGACTGCATTGACCA-1", "iM.data_CGAGTTATCAGCTTCC-1", "iM.data_CCCGAAGTCCACCCTA-1", "iM.data_AGACACTAGAACAAGG-1", "iM.data_GTTAGTGCAAGATGGC-1", "iM.data_CACCGTTTCCTAGCCT-1", "iM.data_TATTGCTAGTCTAACC-1", "iM.data_AACGGGAGTACTCGAT-1", "iM.data_CTACTATAGGGTCACA-1", "iM.data_TCTGGCTTCAAGGCTT-1", "iM.data_GTGTCCTCACGTAACT-1", "iM.data_ACTTCGCTCCTCAGAA-1", "iM.data_TAGGTTGGTAGTGGCA-1", "iM.data_TCGGGACTCTAGTGTG-1", "iM.data_CCACACTCAACACAAA-1", "iM.data_TAGACCAGTTAGGACG-1", "iM.data_TAAGCCAAGCTAGAAT-1", "iM.data_GACACGCTCCTCACTG-1", "iM.data_ACATTTCAGCCATTCA-1", "iM.data_TTGTTGTGTAACATGA-1", "iM.data_AACGTCAGTCATCGGC-1", "iM.data_CTACGGGAGTGCGACA-1", "iM.data_GGTGTTAGTCACGACC-1", "iM.data_GTCACTCAGCATATGA-1", "iM.data_ACGTCCTCACCGTGCA-1", "iM.data_GTCACTCCATGTTCGA-1", "iM.data_ACGGTCGAGTGTTCCA-1", "iM.data_ATGAAAGTCCAAGAGG-1", "iM.data_CAATACGAGTTTGAGA-1", "iM.data_CATGCAAAGTATGGCG-1", "iM.data_GGGATCCCAGCTTTCC-1", "iM.data_TATCTGTTCAACCTTT-1", "iM.data_TCAATTCGTGCCGTTG-1", "iM.data_ATCGTAGCAGGCTCTG-1", "iM.data_AATGGCTGTTGCACGC-1", "iM.data_GCCCGAAAGAACCCGA-1", "iM.data_GACCAATTCGCTGTTC-1", "iM.data_TGGGAAGTCACTGTCC-1", "iM.data_ACCCAAAAGGTTACCT-1", "iM.data_ATACCTTTCTACCCAC-1", "iM.data_AGACAAAGTAGACTGG-1", "iM.data_GCTACAAAGGGACCAT-1", "iM.data_TTACGCCCAGAACTCT-1", "iM.data_GTCATGAGTCGATTTG-1", "iM.data_TATTTCGCAAGGCTTT-1", "iM.data_ACTATGGGTGAGTAAT-1", "iM.data_GAGCTGCTCTGCACCT-1", "iM.data_GAATCACGTAGACGGT-1", "iM.data_TTCTTCCAGGCATCTT-1", "iM.data_GGTCACGGTTAAACAG-1", "iM.data_AGTGTTGAGTATTGCC-1", "iM.data_ACCCAAATCACCTTAT-1", "iM.data_TAGCACATCCTTATAC-1", "iM.data_CATGAGTAGCAACCAG-1", "iM.data_TCGAACAAGCCTGCCA-1", "iM.data_GTGTGGCCACGAAAGC-1", "iM.data_AAGCGAGAGATGACCG-1", "iM.data_GAGACCCCATAACGGG-1", "iM.data_CATACCCCAAACACGG-1", "iM.data_TCAGGTACAGCTTTGA-1", "iM.data_TGTCCCACAAAGCTAA-1", "iM.data_TCATTCAGTCATCAGT-1", "iM.data_ACCAAACTCAAACGAA-1", "iM.data_GTTACCCCAGGAGGTT-1", "iM.data_TCTACCGGTTACACAC-1", "iM.data_GGAGATGAGTCAGGGT-1", "iM.data_CAACAACGTCGCATGC-1", "iM.data_TGTCCACCACCGTGAC-1", "iM.data_CCAATGATCACGGAGA-1", "iM.data_TCGAACATCTAGCCAA-1", "iM.data_CATTGAGTCCCTTCCC-1", "iM.data_TATCGCCGTCTACACA-1", "iM.data_CATTCCGGTATGGAAT-1", "iM.data_CTTACCGGTCCTATAG-1", "iM.data_GGGCTCACAACGACTT-1", "iM.data_CTCAGTCCATCGGCCA-1", "iM.data_AAGATAGTCCGGCAGT-1", "iM.data_AGGACTTGTGCAACAG-1", "iM.data_CCTCTCCGTTGCCGAC-1", "iM.data_GCCCAGAGTTCGTACA-1", "iM.data_GTCAAACCAGTATACC-1", "iM.data_CAGCAGCCAGAGTTCT-1", "iM.data_GCAACCGTCCATGATG-1", "iM.data_GGGTGTCTCCAAGCAT-1", "iM.data_GGGTGAACATCTTCGC-1", "iM.data_ATTCCTATCCATAGGT-1", "iM.data_CTCCTCCCATAACAGA-1", "iM.data_ACAGCCGGTCCTGGGT-1", "iM.data_TAGACTGTCATGCCAA-1", "iM.data_TACCCACCACCGGCTA-1", "iM.data_AACAGGGAGCCTGAGA-1", "iM.data_ATGGGAGGTCATGGCC-1", "iM.data_GGGACTCAGCGATTCT-1", "iM.data_CCATCACTCCAGCCTT-1", "iM.data_GTGGAGAGTCTTGAAC-1", "iM.data_GACACGCCACACCTAA-1", "iM.data_CATCCCAAGGACAACC-1", "iM.data_GAAGCGAGTAGCTGCC-1", "iM.data_CACTGTCTCTCATGCC-1", "iM.data_TGTCCACGTGACATCT-1", "iM.data_ATCGTCCCAGACCATT-1", "iM.data_CAGTTCCCAAGTTCCA-1", "iM.data_GACTTCCGTTACACAC-1", "iM.data_TGTCCACGTCAGCTTA-1", "iM.data_GCTACCTGTACATACC-1", "iM.data_ACAACCAAGCCAACCC-1", "iM.data_TCATGCCTCTATTCGT-1", "iM.data_GCTTGGGCAGAAGTTA-1", "iM.data_GCCAGGTCATAGATCC-1", "iM.data_TCCGGGAGTTCACGAT-1", "iM.data_TAACCAGGTGATAGTA-1", "iM.data_CAACGGCAGGAACGAA-1", "iM.data_CCTCTCCGTGCGGTAA-1", "iM.data_GCAGGCTCATGATAGA-1", "iM.data_TAACACGAGTCAGAGC-1", "iM.data_CAGAGCCCAACCGCTG-1", "iM.data_GAAGGACCACCTCAGG-1", "iM.data_GGTTGTATCTCAACCC-1", "iM.data_TCTGCCACAGTTCTAG-1", "iM.data_TTTCACAGTCACTGAT-1", "iM.data_GAATCACTCCTCTCTT-1", "iM.data_AGACCATCACTACTTT-1", "iM.data_TTCTGTACATCGGCCA-1", "iM.data_GAACACTTCCGTAATG-1", "iM.data_TAAGTCGTCCTTCTGG-1", "iM.data_TCGACCTTCTACGCAA-1", "iM.data_CTTGATTTCAAGATAG-1", "iM.data_CCTTCAGTCAGTCACA-1", "iM.data_CAATACGCACTTGTGA-1", "iM.data_CATTGCCCACTGATTG-1", "iM.data_TCAGCCTTCTTCACGC-1", "iM.data_CCGGTGACATCCTTCG-1", "iM.data_AATGACCAGTTCACTG-1", "iM.data_ATGTCTTTCCAATCCC-1", "iM.data_CCACTTGCACAGTACT-1", "iM.data_AGGAGGTTCGTAGGGA-1", "iM.data_CCTCTAGCAACCCTCT-1", "iM.data_GATCAGTGTGCATTAC-1", "iM.data_CTTCTAACACCTCTAC-1", "iM.data_TTTCACATCTCCAAGA-1", "iM.data_ACTTTCACATCCGTGG-1", "iM.data_TCAGTGATCCAATCCC-1", "iM.data_CCCTTAGTCCGATCTC-1", "iM.data_CTCTCAGAGGAACGCT-1", "iM.data_CAAGCTACATAAGCGG-1", "iM.data_TGGATCAAGCATCCCG-1", "iM.data_GCAACCGAGTCGTTAC-1", "iM.data_CAGATACCACATCCCT-1", "iM.data_TCCACCACAGTTCCAA-1", "iM.data_AGTGACTAGCGACTGA-1", "iM.data_CCGTTCACAGCCGTTG-1", "iM.data_ACAAGCTAGTACTGGG-1", "iM.data_CTAGACATCCTTCAGC-1", "iM.data_TCGCTCAAGGGCAATC-1", "iM.data_ACCCAAAGTTCGTAAC-1", "iM.data_CACTGTCCAGAGTTCT-1", "iM.data_TCCACGTTCAGTGATC-1", "iM.data_CATTGAGTCCCGAATA-1", "iM.data_TCCTCGACAGTAACGG-1", "iM.data_AGAGCAGCATAGGCGA-1", "iM.data_CTTCCGAGTCGCAGTC-1", "iM.data_TCATCATCAGTGAGCA-1", "iM.data_AGAGCAGCAGAGGCTA-1", "iM.data_TTACCATCAATGAAAC-1", "iM.data_GGTAACTAGGTTACAA-1", "iM.data_CAATGACAGTATAGAC-1", "iM.data_AGAACAACAGCGGTCT-1", "iM.data_AGGTGTTCAACAGAGC-1", "iM.data_AGACACTCAGCGACCT-1", "iM.data_ACCAACATCGTTCTGC-1", "iM.data_CAGCAATTCCGAGGCT-1", "iM.data_ATTCCTATCTGAACGT-1", "iM.data_AAGTTCGAGTACTGGG-1", "iM.data_ACCTGTCTCCGTGTAA-1", "iM.data_TTACGTTTCAAACGTC-1", "iM.data_AACGAAAAGCTAGTTC-1", "iM.data_ATCCATTTCGACCTAA-1", "iM.data_TCACTATAGAAATGGG-1", "iM.data_CGGGTCATCCCTCTCC-1", "iM.data_AGACAGGGTTATCCAG-1", "iM.data_GAACTGTCAATGTCAC-1", "iM.data_AGGGTGAAGCTTCTAG-1", "iM.data_AGAACAATCCAGTGCG-1", "iM.data_TGGATGTTCTGGTGCG-1", "iM.data_TGCATCCCATCTGGGC-1", "iM.data_TCACACCCAGCTGTTA-1", "iM.data_ACTACGAGTGCAAGAC-1", "iM.data_CTGCAGGAGCTATCCA-1", "iM.data_TGTCAGAGTAGACACG-1", "iM.data_TTCATTGTCAAGAGTA-1", "iM.data_TATTGGGCATACTGTG-1", "iM.data_TACTTACTCCACGTCT-1", "iM.data_AACGGGAAGATCACTC-1", "iM.data_AACAAGACACCTCGTT-1", "iM.data_CTTCCTTTCGAACACT-1", "iM.data_CATCCACCACAAATCC-1", "iM.data_GGAGGTAGTAACCCTA-1", "iM.data_AGGGTGATCACCGCTT-1", "iM.data_CAGGGCTCAACGACTT-1", "iM.data_CGTTAGACATCGGTTA-1", "iM.data_CCACTTGTCCCAATAG-1", "iM.data_CGGGTGTTCTCGTTTA-1", "iM.data_CTGCAGGCAAGCTGCC-1", "iM.data_TCGAACAGTCTCCTGT-1", "iM.data_ATGGGAGCATAGAAAC-1", "iM.data_CAACAACCAAGTTTGC-1", "iM.data_GCAACCGGTGCAACGA-1", "iM.data_CATTGCCCAGGGATAC-1", "iM.data_ACACGCGAGTTCATGC-1", "iM.data_TACGGGCCAACATACC-1", "iM.data_GCGGAAATCTAGCAAC-1", "iM.data_TACACCCTCCATTCAT-1", "iM.data_GCATGATCAAATACGA-1", "iM.data_TCACGGGAGAAACACT-1", "iM.data_TCATTACAGTGCAAAT-1", "iM.data_TGCAGTATCGCTCTAC-1", "iM.data_CCCTCTCAGTCCCAAT-1", "iM.data_CCACACTCATTAAAGG-1", "iM.data_CAACGGCTCTACTGCC-1", "iM.data_GGTAACTAGCCTTCTC-1", "iM.data_CAGCAATGTCGTCATA-1", "iM.data_GTCTGTCTCTGTGCGG-1", "iM.data_TTGTTGTGTCGGAACA-1", "iM.data_CAAGACTTCCAACACA-1", "iM.data_CATGCGGGTCCCGTGA-1", "iM.data_TGCATCCAGGTGGCTA-1", "iM.data_TCCTGCAGTACCCGCA-1", "iM.data_TCTGGCTCAAGTTTGC-1", "iM.data_ATACCGACATCATTGG-1", "iM.data_CTATCCGAGAGCCGAT-1", "iM.data_TCTCAGCCACGGCTAC-1", "iM.data_TGTCCTGCACCTATCC-1", "iM.data_AGAACAACAGTGGCTC-1", "iM.data_GCTCAAAGTGAGACGT-1", "iM.data_ATCCGTCTCGCACGGT-1", "iM.data_CATTTCAAGCATCCCG-1", "iM.data_CGGACACCAGGAACCA-1", "iM.data_AGGGAGTCACAAGGTG-1", "iM.data_GCTGGGTGTTGAGTCT-1", "iM.data_CATTTCATCCACCCTA-1", "iM.data_CTTAGGAGTGAACTAA-1", "iM.data_ACGGTTACACCAGGTC-1", "iM.data_AACCTGAAGTATTCCG-1", "iM.data_CACACAAAGCCGTTAT-1", "iM.data_TAGAGTCAGGACTAAT-1", "iM.data_GTAAGTCAGGAAAGAC-1", "iM.data_CATGCGGAGGATCATA-1", "iM.data_TACCTCGCAACCAATC-1", "iM.data_CACACAAGTTTACGAC-1", "iM.data_ATGGGTTGTCCCGGTA-1", "iM.data_ACTATTCCAAGACGAC-1", "iM.data_AGACACTCACTCATAG-1", "iM.data_GATAGAACATAGACTC-1", "iM.data_CACTAAGTCTGAATCG-1", "iM.data_CAATCGATCAAAGAAC-1", "iM.data_CGGGTCAAGGGCCAAT-1", "iM.data_AATGGAACAATCTCTT-1", "iM.data_TGTCCTGCAAACCGGA-1", "iM.data_GCAACATGTCTATGAC-1", "iM.data_ACGTACATCCTAGAGT-1", "iM.data_CATGCCTGTTTCGACA-1", "iM.data_CTACGGGTCAGACCCG-1", "iM.data_GTAGCTACACAGCTGC-1", "iM.data_CTCCACACAACTCATG-1", "iM.data_ACCACAATCGTCTACC-1", "iM.data_CTGGCAGTCATTCACT-1", "iM.data_CACAACACATCGAGCC-1", "iM.data_GTGGCGTTCAAGAATG-1", "iM.data_AGAGCCCCATCTAGAC-1", "iM.data_GACAGCCAGAAGCCAC-1", "iM.data_GATAGCTTCCGTTTCG-1", "iM.data_TTGCCTGGTCTTCTAT-1", "iM.data_AACAAAGCAATTGCCA-1", "iM.data_AGTTCGAGTTTCAGAC-1", "iM.data_ATGAGTCTCTAACACG-1", "iM.data_CAGGCCATCACCTACC-1", "iM.data_TCCACCAAGGCTCAAG-1", "iM.data_ATGAAAGTCGAAGCAG-1", "iM.data_TCGCTCACACCTATCC-1", "iM.data_CTTCAATGTACAGAAT-1", "iM.data_CGAATTGTCCGCAAAT-1", "iM.data_ATTCAGGCATACACCA-1", "iM.data_CCACGAGGTTCTGACA-1", "iM.data_GTGAGGATCTGGACTA-1", "iM.data_CCACGTTTCCGCGAGT-1", "iM.data_GCATGATTCACTTCTA-1", "iM.data_GGGTTATCATGCGGTC-1", "iM.data_ACATCCCTCTTCCCGA-1", "iM.data_CATGCTCCACTCCCTA-1", "iM.data_AAGACAATCTTCGACC-1", "iM.data_AACGGGAAGGTCGACA-1", "iM.data_CAGGTATGTCATCAGT-1", "iM.data_GCATCTCAGCCTTCTC-1", "iM.data_GAACTGTGTCACATTG-1", "iM.data_AATCACGAGTACCCTA-1", "iM.data_CCGTGAGAGGTTTACC-1", "iM.data_GCTGAATAGACCATGG-1", "iM.data_AACACACAGCCTCTGG-1", "iM.data_TAACGACCACACGTGC-1", "iM.data_GCCGATGGTCTTCAAG-1", "iM.data_TCAAGACCATGGTGGA-1", "iM.data_GACCAATGTACGTTCA-1", "iM.data_TCCTTTCGTATCAGCT-1", "iM.data_CTACGGGCACTGAATC-1", "iM.data_ATAGGCTCAGCAGTTT-1", "iM.data_AAGGTAAGTATACCCA-1", "iM.data_AGGTTGTCAACGACTT-1", "iM.data_CTAACCCTCCATTTAC-1", "iM.data_CAGTTCCGTCTCAGGC-1", "iM.data_AGTCAACGTCCATCTC-1", "iM.data_ACTTATCGTCTCTCAC-1", "iM.data_AAGTACCAGACCAGCA-1", "iM.data_TCCACGTCAGCTGTCG-1", "iM.data_TGCAGGCTCCCAGGCA-1", "iM.data_TCTATACCATTGACCA-1", "iM.data_AAAGTCCTCATCGTAG-1", "iM.data_CCTTGTGGTGCCTAAT-1", "iM.data_ACTTCGCTCTCTCGAC-1", "iM.data_ACCAAACGTCTGCCTT-1", "iM.data_TCCTTCTTCCATACAG-1", "iM.data_ATCGCCTCAGCCCACA-1", "iM.data_ACCACAATCTCCTGCA-1", "iM.data_CAGCACGTCTCTCGAC-1", "iM.data_AGGATAAGTCCACTCT-1", "iM.data_GTACAACCAGCGGTTC-1", "iM.data_GAGGCCTTCGTTCCCA-1", "iM.data_TCTACATTCCCAGGCA-1", "iM.data_AACAACCAGGCCTGAA-1", "iM.data_TAGGTACCAAACTCTG-1", "iM.data_AACCTGACAAGCTACT-1", "iM.data_GGGCTCACAAGCAGGT-1", "iM.data_GGCTGTGAGCGTACAG-1", "iM.data_GAAATGACAGGTCTCG-1", "iM.data_AGACACTCACCTTCGT-1", "iM.data_CGTTAGACATTACTCT-1", "iM.data_CAGTTCCCAGAGAATT-1", "iM.data_CGGAACCAGGTTCATC-1", "iM.data_CGGACACCACTTGAGT-1", "iM.data_AGGTTACGTATTAAGG-1", "iM.data_GCTGAATCATCCAATG-1", "iM.data_TGATCTTCATCAGCTA-1", "iM.data_GGTAACTGTGGTAACG-1", "iM.data_CAGATTGCAGGCATTT-1", "iM.data_AGGAGGTTCTTTGCTA-1", "iM.data_CTCCCAACAGAACGCA-1", "iM.data_CTAACCCGTATCGATC-1", "iM.data_CTAGACAAGACATCAA-1", "iM.data_AGAAATGCACAACGCC-1", "iM.data_TTTGGAGTCGGAAACG-1", "iM.data_ATCACAGTCCATATGG-1", "iM.data_TAACACGGTCAACCAT-1", "iM.data_TGAGCATGTCGCACAC-1", "iM.data_CCTAACCCACTACTTT-1", "iM.data_CACAACATCAAACTGC-1", "iM.data_CCGATGGGTTCAAACC-1", "iM.data_AGGGTGATCACCGGTG-1", "iM.data_GCACATATCTTCACGC-1", "iM.data_TTACCATTCTTCTCAA-1", "iM.data_ACGTACATCACTGCTC-1", "iM.data_TCCTAATTCGCATTAG-1", "iM.data_TAACACGGTTCGAACT-1", "iM.data_TACACCCTCACACCCT-1", "iM.data_GACCTTCTCACTGAAC-1", "iM.data_TACTTCATCTGTAAGC-1", "iM.data_CTCCTCCCAGCTGTAT-1", "d05.data2_TTCTAGTGTAGTAAGT-1", "d05.data2_TCGACCTTCTCCTGTG-1", "d05.data2_CTGAGCGGTCATATGC-1", "d05.data2_CTCCGATCAGTGAGCA-1", "d05.data2_TGTCAGAGTCGTCGGT-1", "d05.data2_GATCATGTCGTGCAGC-1", "d05.data2_GTGGCGTGTGAGCGAT-1", "d05.data2_GTAATCGAGCGCCGTT-1", "d05.data2_TCGTGGGAGAGTCGAC-1", "d05.data2_GTCGTTCTCGCTTAAG-1", "d05.data2_CTCAAGACAGGCATGA-1", "d05.data2_TAACCAGGTCGTACTA-1", "d05.data2_TCGTGCTAGACCTTTG-1", "d05.data2_TTCTAACGTACCGTCG-1", "d05.data2_GTTAGTGTCTTCGACC-1", "d05.data2_AACAACCCAGAGTCAG-1", "d05.data2_TTCATTGAGCGTCAGA-1", "d05.data2_TATCCTAGTCGAGATG-1", "d05.data2_AAGAACACAATTGGTC-1", "d05.data2_ACCCTTGTCTGTCTCG-1", "d05.data2_CTCATGCTCAATCGGT-1", "d05.data2_TACCCGTAGGGCCCTT-1", "d05.data2_TCCGGGAGTTGAATCC-1", "d05.data2_TTGCGTCGTACAAAGT-1", "d05.data2_AGTCATGTCTAGGCCG-1", "d05.data2_TAGATCGTCAGGAACG-1", "d05.data2_CAGAGCCGTCGTTTCC-1", "d05.data2_GTAACACAGTCGAAAT-1", "d05.data2_TTGCATTTCCTCATAT-1", "d05.data2_GTTACAGGTGACCGTC-1", "d05.data2_AACCTGATCAAGTCGT-1", "d05.data2_AGAACAAGTATGGTAA-1", "d05.data2_CCTCTCCCAGTCGGAA-1", "d05.data2_GTGATGTAGAGTGGCT-1", "d05.data2_AGGTCATGTAGAATGT-1", "d05.data2_CGATCGGCAGTGGTGA-1", "d05.data2_ACAGCCGGTGTAGCAG-1", "d05.data2_GTCAAACCAAATCGTC-1", "d05.data2_ACATCGAAGATCGCTT-1", "d05.data2_AAAGGGCGTCGTTGGC-1", "d05.data2_GGGTGTCAGGAGATAG-1", "d05.data2_CTGGCAGTCCGTTGAA-1", "d05.data2_GTGACGCAGCACGGAT-1", "d05.data2_TCGGGACGTGTACGCC-1", "d05.data2_CGAAGGACATGACTAC-1", "d05.data2_TCTGCCAAGCGCCTTG-1", "d05.data2_CGTGTCTCAGGTGTTT-1", "d05.data2_GGAGGATTCGGCTGAC-1", "d05.data2_ACAGGGAGTCGGTGTC-1", "d05.data2_GAACTGTCAGAACTAA-1", "d05.data2_ATTTCTGCATCCGGCA-1", "d05.data2_TCGAACATCAGACCGC-1", "d05.data2_GTGTTAGGTGGATCAG-1", "d05.data2_TGATCTTGTTTACTGG-1", "d05.data2_TCGGGCATCAGCGTCG-1", "d05.data2_ATTTCTGCATTATGCG-1", "d05.data2_TCATCCGAGTGCGTCC-1", "d05.data2_CGTGTCTTCACTTCTA-1", "d05.data2_GTCACTCCACTTTAGG-1", "d05.data2_TCGCAGGGTTGGGTAG-1", "d05.data2_CAAGCTATCGTAGTCA-1", "d05.data2_GTGTTAGTCGGCCAAC-1", "d05.data2_TTCGATTTCTTCGGAA-1", "d05.data2_AGACACTGTCTAGATC-1", "d05.data2_CGTGCTTCAAGAGTTA-1", "d05.data2_GTGAGTTAGTGTTCAC-1", "d05.data2_TCGACCTCAAAGAGTT-1", "d05.data2_CAGTTAGTCGGCTGTG-1", "d05.data2_TATTTCGAGATGGGCT-1", "d05.data2_GGGTTATAGGAAAGAC-1", "d05.data2_TCGTGGGGTAACACCT-1", "d05.data2_TATCTTGCACGTCGGT-1", "d05.data2_GTTACGAAGGGAGTGG-1", "d05.data2_GTCGCGAAGAGAATCT-1", "d05.data2_GTTACGAGTGATTGGG-1", "d05.data2_TCAAGCAGTAGCGTAG-1", "d05.data2_CGTGCTTCAGCTCATA-1", "d05.data2_CTATCTAGTGAATTAG-1", "d05.data2_ATGATCGGTCTGGTTA-1", "d05.data2_AGGTCATAGTATTCCG-1", "d05.data2_GTACAACAGCAAATCA-1", "d05.data2_GTCTACCTCAAGTCGT-1", "d05.data2_CATCGGGGTCAGTTTG-1", "d05.data2_AAAGGATCATGACGAG-1", "d05.data2_TCTATACGTTTAGAGA-1", "d05.data2_CTCCGATAGCCTGAAG-1", "d05.data2_TCGTAGATCAATCTTC-1", "d05.data2_GTAAGTCCAATCGAAA-1", "d05.data2_CTCTCGAGTCGCATCG-1", "d05.data2_CCGGGTAGTGATTAGA-1", "d05.data2_AGGGTCCCACAATGAA-1", "d05.data2_GATCATGTCACCTCAC-1", "d05.data2_GGGAGATAGAGCAGTC-1", "d05.data2_GTGGCGTCATATACCG-1", "d05.data2_TTAGGGTTCGGCATAT-1", "d05.data2_CAAGAGGTCATGCCAA-1", "d05.data2_TTAGTCTGTGACTAAA-1", "d05.data2_CCCATTGGTTCAAGTC-1", "d05.data2_GCTGGGTGTACGGCAA-1", "d05.data2_GAAATGAGTACAATAG-1", "d05.data2_CCCGGAATCTCTGACC-1", "d05.data2_AGTTAGCGTCGCAACC-1", "d05.data2_CGTTGGGGTGACGCCT-1", "d05.data2_CATCGGGGTTCGAACT-1", "d05.data2_TCGGGCAAGGGCAGAG-1", "d05.data2_CTGCAGGGTATGGAGC-1", "d05.data2_GTGTAACTCCGTAGGC-1", "d05.data2_CACAGGCTCGGCTCTT-1", "d05.data2_AGAGAGCTCTGCGTCT-1", "d05.data2_TACCTCGAGTCTAGCT-1", "d05.data2_AGTGTTGGTATGCGGA-1", "d05.data2_TGGGAAGTCTCGCCTA-1", "d05.data2_GTAACACGTTGGGTAG-1", "d05.data2_GTGAGGAAGACTTCGT-1", "d05.data2_CTGGCAGAGGGCAACT-1", "d05.data2_ATTCATCGTGCATGAG-1", "d05.data2_TCGGGTGGTCCACATA-1", "d05.data2_TACTGCCGTCGTATTG-1", "d05.data2_AATGGCTAGGGTTGCA-1", "d05.data2_AGTACTGCAGAGCTAG-1", "d05.data2_CCGTGAGAGCCAGAGT-1", "d05.data2_GTTGAACCATCGTGCG-1", "d05.data2_AGGGTTTAGGAGAGTA-1", "d05.data2_GGTGAAGAGTTGGGAC-1", "d05.data2_TGGAGAGTCGAGAAAT-1", "d05.data2_GGGTGTCCAGTAGAAT-1", "d05.data2_TGGGAAGTCCATCCGT-1", "d05.data2_TACGTCCGTGTGCCTG-1", "d05.data2_TCGACGGAGACAAGCC-1", "d05.data2_TGACGCGAGAGGCTGT-1", "d05.data2_CAGTTAGGTTCGGCGT-1", "d05.data2_ATTCAGGCAAGAATAC-1", "d05.data2_ATTCCTAGTAGCGTTT-1", "d05.data2_CTTCAATGTGTGCTTA-1", "d05.data2_GGGATGAAGTGTACCT-1", "d05.data2_TTACCATTCGAGTGAG-1", "d05.data2_TCAGTCCGTAGCGAGT-1", "d05.data2_GAATAGATCGCGGACT-1", "d05.data2_CATGCGGCAGATGCGA-1", "d05.data2_GTTGTAGCACGTGTGC-1", "d05.data2_GGAAGTGCAGGTCCCA-1", "d05.data2_ATCCTATAGTCGAAAT-1", "d05.data2_GTATTGGTCTGCGAGC-1", "d05.data2_GTCTACCGTATTGCCA-1", "d05.data2_TGGGAGATCGCAACAT-1", "d05.data2_CTGTGAAAGATTGGGC-1", "d05.data2_CGGGTGTTCCGGTAGC-1", "d05.data2_CATTCATTCGCAATTG-1", "d05.data2_GTTACGAAGAGCTGAC-1", "d05.data2_CCACAAAAGTGCGTCC-1", "d05.data2_TGGTGATGTGGCGCTT-1", "d05.data2_TCGAAGTCAGATTAAG-1", "d05.data2_AGTACTGTCATTGAGC-1", "d05.data2_GTGGAAGGTGCCCGTA-1", "d05.data2_ACCTGAACACGTTCGG-1", "d05.data2_AGGGTGAGTTAAGTCC-1", "d05.data2_TGTCAGACAAGAGAGA-1", "d05.data2_GATTGGTAGCGTCAGA-1", "d05.data2_GTAATGCAGTCCTGTA-1", "d05.data2_CACAGATCAGGCACTC-1", "d05.data2_CACGTGGGTATCCCTC-1", "d05.data2_GGGCTACGTGACAGGT-1", "d05.data2_CAGCCAGAGGATACGC-1", "d05.data2_CTTCGGTTCACTAGCA-1", "d05.data2_AGAGCAGAGCTGTCCG-1", "d05.data2_ACTGCAAAGCTAATGA-1", "d05.data2_TTCTGTAGTATGTCCA-1", "d05.data2_CTTCCGAGTGTCCACG-1", "d05.data2_AGAGCCCTCTGCATAG-1", "d05.data2_AAAGGTAAGCAGTCTT-1", "d05.data2_ATTCTACAGAGGACTC-1", "d05.data2_AAGCATCCACTTGTGA-1", "d05.data2_GGAAGTGCAAGGAGTC-1", "d05.data2_ACTTCGCGTCTTCTAT-1", "d05.data2_TATACCTGTGCTGTCG-1", "d05.data2_CTGAATGGTCGCGTCA-1", "d05.data2_TGCTCGTGTCACCACG-1", "d05.data2_CCCTCAATCTTCGATT-1", "d05.data2_TGTAGACAGGCTTTCA-1", "d05.data2_ATGGGTTGTGTCCGGT-1", "d05.data2_CGGGTCATCTTGGATG-1", "d05.data2_ACGATCATCGTCGCTT-1", "d05.data2_GGGACCTAGTAGGATT-1", "d05.data2_GATAGCTAGGGTAGCT-1", "d05.data2_TGGTTAGGTTAGTTCG-1", "d05.data2_TGCGACGAGGATAATC-1", "d05.data2_AGCCACGTCGTAGTGT-1", "d05.data2_GGTCACGCAACCGTGC-1", "d05.data2_CTCAACCGTTCGTACA-1", "d05.data2_CTGTAGAGTCTAACTG-1", "d05.data2_GAGTTGTGTCAGACGA-1", "d05.data2_GAGTGAGCACGCCAGT-1", "d05.data2_AGAAGTAAGAGCATAT-1", "d05.data2_TTGGATGTCGGATTAC-1", "d05.data2_TGGAGAGTCAGACTGT-1", "d05.data2_CATGCTCAGAGCCGTA-1", "d05.data2_CATACAGGTTACAGCT-1", "d05.data2_GAATCGTGTGTCTTGA-1", "d05.data2_TAGAGTCCAGAGAATT-1", "d05.data2_ACTTATCAGACTGAGC-1", "d05.data2_TCGGGACGTCGCATTA-1", "d05.data2_TAGGGTTAGACGCTCC-1", "d05.data2_GTAGATCAGGAAAGGT-1", "d05.data2_GATGTTGAGAGCATCG-1", "d05.data2_ACCCAAAAGTGTGTTC-1", "d05.data2_CAGTTCCCACGAAGAC-1", "d05.data2_GCGATCGGTATGTGTC-1", "d05.data2_GAACTGTAGCGTTCCG-1", "d05.data2_AGCATCACAGGAATAT-1", "d05.data2_CAACGATGTCGTCGGT-1", "d05.data2_GGCAGTCTCAGAGTTC-1", "d05.data2_TTACCGCGTGAGCCAA-1", "d05.data2_TGGGATTCAACCCTAA-1", "d05.data2_TTGGATGTCGTGGTAT-1", "d05.data2_GTTTGGACAATGAGCG-1", "d05.data2_AGGAATATCAAGATAG-1", "d05.data2_AAATGGAAGTGCTCAT-1", "d05.data2_ATCCGTCAGTTCCGTA-1", "d05.data2_ACTATTCCACTAGAGG-1", "d05.data2_GATAGCTAGTACGAGC-1", "d05.data2_CTACGGGGTCGTACTA-1", "d05.data2_TCTTAGTGTACAGGTG-1", "d05.data2_TCATGGATCGGCTTCT-1", "d05.data2_CAATGACGTCTGTCAA-1", "d05.data2_ACGGGTCGTCCTGGTG-1", "d05.data2_CCTATCGGTAGCACAG-1", "d05.data2_TAGGGTTAGCTGCCTG-1", "d05.data2_GTGAGGAGTAGATGTA-1", "d05.data2_TCCATCGGTTCTAACG-1", "d05.data2_ATCATTCAGTACGAGC-1", "d05.data2_ACGTAGTGTATCGCTA-1", "d05.data2_AGAGAATTCGGACAAG-1", "d05.data2_GTTAGTGCAACGTTAC-1", "d05.data2_AACAAAGAGCACTCAT-1", "d05.data2_GGTGGCTAGGAGCTGT-1", "d05.data2_TGGAGAGCAAGGTCGA-1", "d05.data2_CAGCAATTCCCATTTA-1", "d05.data2_ATCGTGATCTGCTAGA-1", "d05.data2_AGTTCGAGTAGGCTCC-1", "d05.data2_CTGTGGGTCATGCCAA-1", "d05.data2_AGAAATGAGAATTGTG-1", "d05.data2_GACCCAGTCGTTGTTT-1", "d05.data2_CATGGTAAGGGTTAAT-1", "d05.data2_GGGTAGAGTTCTTGTT-1", "d05.data2_GTTGCGGCATGGAGAC-1", "d05.data2_CTATCCGAGAATTCAG-1", "d05.data2_GGTAGAGTCCGAGGCT-1", "d05.data2_TGTTCATTCACTTGTT-1", "d05.data2_CAAGAGGTCCGTGACG-1", "d05.data2_GTGCTTCCAAGATGTA-1", "d05.data2_TGACAGTTCTCATAGG-1", "d05.data2_TCCATCGGTGAGACGT-1", "d05.data2_GGGACTCGTAATGTGA-1", "d05.data2_GTTTGGAAGATGTTAG-1", "d05.data2_TTCTTCCCATCGTCCT-1", "d05.data2_TCGTCCAGTACCCAGC-1", "d05.data2_CATGAGTAGTCTTCGA-1", "d05.data2_TAAGCCAGTCGCGTTG-1", "d05.data2_AGCTTCCCAGACTGCC-1", "d05.data2_GGTGATTCAAAGGATT-1", "d05.data2_TTCTTGAGTGTGTCCG-1", "d05.data2_ATGAGGGTCCGTACGG-1", "d05.data2_TAGGGTTTCAAGAGGC-1", "d05.data2_TCCGGGACAAGAGATT-1", "d05.data2_CCTATCGAGGCCTAGA-1", "d05.data2_CCGTTCATCATGCGGC-1", "d05.data2_CAATGACGTGATGAAT-1", "d05.data2_TCAGGTAGTCCTCATC-1", "d05.data2_ATGCCTCGTGGAGGTT-1", "d05.data2_CTCAGGGGTCACGACC-1", "d05.data2_AGAGAGCCATGGAGAC-1", "d05.data2_AGATGCTAGCTGCCAC-1", "d05.data2_CAGGTATTCTAGTACG-1", "d05.data2_AGTAGTCAGAATCGAT-1", "d05.data2_TATTGGGTCACCTGGG-1", "d05.data2_TACAACGAGCCTGAGA-1", "d05.data2_CTGTCGTCAACACGTT-1", "d05.data2_GGGTCTGGTGTGTGGA-1", "d05.data2_GATCACACAGTTAGGG-1", "d05.data2_CGCCAGATCGTCCTTG-1", "d05.data2_TAATTCCGTGGATCAG-1", "d05.data2_CATAAGCAGCGAACTG-1", "d05.data2_TTGCCTGTCGATAACC-1", "d05.data2_CTGAATGGTAAGATTG-1", "d05.data2_TTTGACTCATCGCCTT-1", "d05.data2_ATTTACCAGTTGAATG-1", "d05.data2_GTCATGAAGCATGTTC-1", "d05.data2_CTGTGAATCCACAGCG-1", "d05.data2_GAAATGAGTCGAGCAA-1", "d05.data2_GGTAATCCAATCGTCA-1", "d05.data2_ATAGAGAAGATCCCAT-1", "d05.data2_TAAGCGTCATTCTTCA-1", "d05.data2_GTGTTCCGTGTCTTGA-1", "d05.data2_TGTTTGTTCTCGCTCA-1", "d05.data2_CCCATTGCAAATGGTA-1", "d05.data2_AGTAGTCTCCTATTGT-1", "d05.data2_TGTAACGGTTCGAGCC-1", "d05.data2_AACCTTTAGTACCCTA-1", "d05.data2_GCCAGTGGTAATTAGG-1", "d05.data2_AGGGTTTCAGACCAAG-1", "d05.data2_CGTTGGGGTTTACCTT-1", "d05.data2_ACAACCATCGGATACT-1", "d05.data2_CGAAGTTTCGCCAGAC-1", "d05.data2_AATGACCGTCTGCCTT-1", "d05.data2_TAGGGTTTCGGCTATA-1", "d05.data2_CATACTTTCGCTGTCT-1", "d05.data2_TCATTACTCTGGGAGA-1", "d05.data2_GATAGAATCCCAAGTA-1", "d05.data2_CAGCGTGGTCTGATCA-1", "d05.data2_GGCTTGGTCAGGGTAG-1", "d05.data2_TCTTGCGGTAGTTAGA-1", "d05.data2_ATTCACTCATCATGAC-1", "d05.data2_CAATACGAGAGCAAGA-1", "d05.data2_TGACTCCCAGGAGGTT-1", "d05.data2_GGTGGCTGTCGAACAG-1", "d05.data2_CGGAACCCAGGAAGTC-1", "d05.data2_AGAAATGAGGACTATA-1", "d05.data2_GCACATAGTGGCTAGA-1", "d05.data2_TGTGAGTCAATACAGA-1", "d05.data2_GATTCGAGTCTTACTT-1", "d05.data2_GGGTATTCAGAGTCTT-1", "d05.data2_TTACCATAGGGTTAGC-1", "d05.data2_TGTTTGTGTTACGCCG-1", "d05.data2_ATTCTACGTCAGCGTC-1", "d05.data2_CCTCATGTCGTTGTGA-1", "d05.data2_CGCGTGATCGTAGAGG-1", "d05.data2_TACCCGTTCGTCGGGT-1", "d05.data2_TCAATTCTCAAATAGG-1", "d05.data2_AATCGTGCATCGAACT-1", "d05.data2_CCTTGTGCAGTATTCG-1", "d05.data2_CGTTGGGAGAACTTCC-1", "d05.data2_CCTGTTGCAGCACACC-1", "d05.data2_CAGTGCGGTCCAGTTA-1", "d05.data2_GAGTCTAGTAGATCCT-1", "d05.data2_CATAAGCTCGTAGGGA-1", "d05.data2_CACAGGCTCGTGGGTC-1", "d05.data2_GAATCGTTCAAGGCTT-1", "d05.data2_CCTACGTCAATACGCT-1", "d05.data2_AAATGGAAGGGTGAAA-1", "d05.data2_CCTATCGGTTTCACAG-1", "d05.data2_TTCATTGAGGTCACAG-1", "d05.data2_GTTGTGAAGACTTCCA-1", "d05.data2_GGTTGTATCGTGGAAG-1", "d05.data2_CTGGCAGGTACGATCT-1", "d05.data2_CGTCCATGTTCGATTG-1", "d05.data2_ATTATCCTCGTTAGAC-1", "d05.data2_CGGAGAAAGGTAGATT-1", "d05.data2_TCGCTTGAGACCCGCT-1", "d05.data2_AGCGTATTCGGATAAA-1", "d05.data2_TCGTAGACAGAAGCGT-1", "d05.data2_AGGAATAGTGAGACCA-1", "d05.data2_GTAGGAGTCACTGGGC-1", "d05.data2_CTCATGCAGGTTGGAC-1", "d05.data2_AACGGGAAGTCATACC-1", "d05.data2_CATAGACGTGATGTAA-1", "d05.data2_ACATCCCTCTCTTCAA-1", "d05.data2_TGCTTCGAGCTCGACC-1", "d05.data2_GAGACTTGTGGTCCGT-1", "d05.data2_AGGTAGGTCTTGCAGA-1", "d05.data2_CTTTCAATCAGGGATG-1", "d05.data2_TGATGGTCAGCGATTT-1", "d05.data2_AGTCAACAGACTTAAG-1", "d05.data2_TTCTTGAAGAGGCGTT-1", "d05.data2_GTCATGATCGAAGAAT-1", "d05.data2_CGAGTTAGTACTCGAT-1", "d05.data2_AGATGCTTCATTTGTC-1", "d05.data2_AAGTGAATCTAAGAAG-1", "d05.data2_GGCGTCAGTCGTACAT-1", "d05.data2_TCCACGTCAGTCGCTG-1", "d05.data2_TTGTTGTGTCGTGGTC-1", "d05.data2_CCGATCTCATGGGATG-1", "d05.data2_GGAGCAAGTTACGATC-1", "d05.data2_CTTGATTCATGAGTAA-1", "d05.data2_GATTGGTAGGTGATCG-1", "d05.data2_AGTAACCGTCGATGCC-1", "d05.data2_TACGGGCGTTGGTGTT-1", "d05.data2_TTGTGGAGTGCAAGAC-1", "d05.data2_CATCGCTAGCGACAGT-1", "d05.data2_CTATCTAGTAGACAGC-1", "d05.data2_GTGTGGCGTTCAAACC-1", "d05.data2_TCTTGCGTCCCGAGAC-1", "d05.data2_CTCGAGGGTAGGGAGG-1", "d05.data2_ACGGAAGTCGCCGATG-1", "d05.data2_GCTGAATAGAACAGGA-1", "d05.data2_CGTAATGCAGGCACAA-1", "d05.data2_TGTGAGTCACAGGATG-1", "d05.data2_TTCGGTCAGACTGTTC-1", "d05.data2_TCAGGGCTCCCTGTTG-1", "d05.data2_GTGGAGACAGCGCGTT-1", "d05.data2_GCTCAAAGTCTATGAC-1", "d05.data2_GTCGTAACATTGCTGA-1", "d05.data2_TATCTGTCACTAGGTT-1", "d05.data2_GGAGGATTCTACACAG-1", "d05.data2_GCTTTCGGTATAGGAT-1", "d05.data2_TGGCGTGAGGAGTCTG-1", "d05.data2_TCGGGTGTCCGAAATC-1", "d05.data2_GTTGCTCTCCCAGGCA-1", "d05.data2_TATGTTCAGTGATGGC-1", "d05.data2_GACCAATAGCGGCTCT-1", "d05.data2_GTGTGATGTGCGAACA-1", "d05.data2_GATCCCTAGAGTCGAC-1", "d05.data2_CTCATCGCAAGAGTGC-1", "d05.data2_CCTCACATCGTTGTAG-1", "d05.data2_TGTGTGAAGCGTTCCG-1", "d05.data2_AGCCACGGTCGCTGCA-1", "d05.data2_TAGACCAAGTATGGCG-1", "d05.data2_TGGAACTAGGCGTCCT-1", "d05.data2_GGTCACGGTAAGATTG-1", "d05.data2_CCTATCGCATCTCAAG-1", "d05.data2_CAAGCTAGTGCTCTTC-1", "d05.data2_TTGCTGCAGGCTAGCA-1", "d05.data2_TGGGTTATCCGAAATC-1", "d05.data2_ATGAGGGGTCGCGTTG-1", "d05.data2_AGTGACTAGCGGTATG-1", "d05.data2_GATGTTGAGGGTTAAT-1", "d05.data2_GACTGATCAGAGAAAG-1", "d05.data2_TGCGATAAGCTCGAAG-1", "d05.data2_TGACTCCCAGAGTTGG-1", "d05.data2_GGTTAACAGTTAGAAC-1", "d05.data2_ATGTCCCGTCCTGGTG-1", "d05.data2_AGGGTGAAGCGCCGTT-1", "d05.data2_TAGGTTGAGAGTCAGC-1", "d05.data2_TGAGGAGAGGGTGGGA-1", "d05.data2_TTCTGTATCAGGCGAA-1", "d05.data2_CATTCCGCACAGAGCA-1", "d05.data2_GAGTCATGTCTGTGGC-1", "d05.data2_ACTGTGATCCTACCAC-1", "d05.data2_TGTTTGTAGCAGTACG-1", "d05.data2_ATGGTTGTCAACACGT-1", "d05.data2_ATGGGTTTCATTTCCA-1", "d05.data2_AGGTTGTGTTACTCAG-1", "d05.data2_TAACTTCTCCGATGTA-1", "d05.data2_CAACCTCGTATCGTTG-1", "d05.data2_GTAAGTCAGTAGAATC-1", "d05.data2_AATGAAGTCCATTGCC-1", "d05.data2_AGTCATGCAGAGGAAA-1", "d05.data2_ATCAGGTAGCTGGTGA-1", "d05.data2_AGTTCCCAGCAACTCT-1", "d05.data2_TCCTAATTCAACGAGG-1", "d05.data2_TGCAGATCAGTCTTCC-1", "d05.data2_CCAATTTCACAACGAG-1", "d05.data2_ACACGCGGTGCCGAAA-1", "d05.data2_TTTCCTCAGGAAGAAC-1", "d05.data2_GCTACAAAGTGCACAG-1", "d05.data2_GAGGGTAGTCCACATA-1", "d05.data2_CTAACTTAGCTAAATG-1", "d05.data2_GAGTTTGCAGGTAGTG-1", "d05.data2_TCATACTAGTTGGACG-1", "d05.data2_TTCGATTAGAGTCAAT-1", "d05.data2_GCACTAAAGACCCGCT-1", "d05.data2_GGTGATTAGTAAGGGA-1", "d05.data2_AGAGAATTCGAGTCCG-1", "d05.data2_GGTTAACTCGTGTGAT-1", "d05.data2_CTGCGAGCACTGGCGT-1", "d05.data2_TCTCAGCCACTGGCCA-1", "d05.data2_ATCGTGAAGCGCACAA-1", "d05.data2_ATTCCCGCACAGTCGC-1", "d05.data2_GCCAGCAGTAGCGCTC-1", "d05.data2_TTTGGTTTCTGTAAGC-1", "d05.data2_TTGAGTGGTCACGTGC-1", "d05.data2_TCGCAGGTCTCAACCC-1", "d05.data2_CCTCACAGTTCGAGCC-1", "d05.data2_AGAGAGCTCGCCAGAC-1", "d05.data2_TCCAGAAAGGTCATAA-1", "d05.data2_ATTCTTGTCAAACTGC-1", "d05.data2_GTGAGGAAGAGTGTTA-1", "d05.data2_TGGAACTGTGAGCAGT-1", "d05.data2_TCGGGCACAAGAAATC-1", "d05.data2_TATTGGGCATACCATG-1", "d05.data2_TTTGTTGAGCCTGTCG-1", "d05.data2_CCAAGCGAGTACCATC-1", "d05.data2_GTCGTTCTCAAACCCA-1", "d05.data2_AACCCAAGTCGCAGTC-1", "d05.data2_GCTGGGTAGTAGCCAG-1", "d05.data2_TGGCGTGAGTGGCCTC-1", "d05.data2_TCTAACTGTACCTGTA-1", "d05.data2_CCCATTGTCGCAGAGA-1", "d05.data2_AGAAGTAAGTCATCGT-1", "d05.data2_GATCACATCGGCGATC-1", "d05.data2_TGTTTGTGTTCGGCCA-1", "d05.data2_GACCCAGTCTGGTTGA-1", "d05.data2_CGTAAGTTCACTGAAC-1", "d05.data2_CGTAATGGTCGGCTAC-1", "d05.data2_ACAGAAAAGGTAGGCT-1", "d05.data2_GCACGTGGTGACACGA-1", "d05.data2_ATCTCTAAGGGTTAAT-1", "d05.data2_ATATCCTAGGCCTTGC-1", "d05.data2_AGGAGGTAGTGTTCCA-1", "d05.data2_TCTGGCTCAACACGAG-1", "d05.data2_ACGTAACGTCTTGCTC-1", "d05.data2_AACAAAGAGTTCATCG-1", "d05.data2_ATCCCTGCAAAGCGTG-1", "d05.data2_TGAGGAGGTCCTACGG-1", "d05.data2_CCATAAGGTTGCATGT-1", "d05.data2_CTACCTGGTATCGGTT-1", "d05.data2_TTCCACGTCGACGAGA-1", "d05.data2_AGCGCTGAGCCACTCG-1", "d05.data2_GTGCACGAGACGTCCC-1", "d05.data2_CGAGGAATCACTTGGA-1", "d05.data2_CATCAAGAGTAATTGG-1", "d05.data2_ACGTCCTCAGCTTTCC-1", "d05.data2_GAAATGACAGCCTATA-1", "d05.data2_TTGCTGCGTGGGCTCT-1", "d05.data2_AACAAGACATAAGCAA-1", "d05.data2_ATGAGTCAGTGACACG-1", "d05.data2_TACCTGCGTTGAGGAC-1", "d05.data2_CTTACCGAGTAGCCAG-1", "d05.data2_TAGACCATCCGTGGGT-1", "d05.data2_TTTCGATTCGGAGTGA-1", "d05.data2_AGAGCCCGTATCTCTT-1", "d05.data2_TCGGGCATCGCAAGAG-1", "d05.data2_CCGAACGTCATTACGG-1", "d05.data2_GTGACGCAGTCATACC-1", "d05.data2_TTACTGTTCGCGCTGA-1", "d05.data2_TGTAACGAGGGATCAC-1", "d05.data2_CTTACCGGTCGACTTA-1", "d05.data2_GGAATGGCATGAAGCG-1", "d05.data2_CTTCGGTCAGTAGTGG-1", "d05.data2_AACAAGACAAGAATAC-1", "d05.data2_AGAAATGGTTGTGCAT-1", "d05.data2_TACATTCAGCGAGTAC-1", "d05.data2_TATCTGTGTCCAGCGT-1", "d05.data2_TCGGGTGCATAACCCA-1", "d05.data2_GTTCTATGTGGATACG-1", "d05.data2_TGGGATTTCGCCGAGT-1", "d05.data2_GCTTGGGCATACCATG-1", "d05.data2_TCGGTCTCAAATGATG-1", "d05.data2_TGAGGAGAGGCGAACT-1", "d05.data2_TATCTTGCAGAGTGAC-1", "d05.data2_AGCTACAGTAGGTACG-1", "d05.data2_GTTGCGGAGACATACA-1", "d05.data2_TGGGCGTGTTCTTGCC-1", "d05.data2_AGGTAGGGTAGCACGA-1", "d05.data2_TAAGCCACACACGCCA-1", "d05.data2_GACCAATCATAGGTTC-1", "d05.data2_TTTGGTTGTCGCATCG-1", "d05.data2_CTTGAGAGTCGAGATG-1", "d05.data2_AGTAGTCTCTGTCCGT-1", "d05.data2_ACCTGAACAGCGACCT-1", "d05.data2_GCATGATGTTCCGCGA-1", "d05.data2_CACGTGGAGAGGGTAA-1", "d05.data2_GTCGTTCCAACGTATC-1", "d05.data2_ACTTTGTCACCAAAGG-1", "d05.data2_CTATCCGAGGCATGCA-1", "d05.data2_GCCATGGGTGAATTGA-1", "d05.data2_CACTAAGTCTCTCTTC-1", "d05.data2_GGTTGTACAAAGCTCT-1", "d05.data2_AACCAACTCTCGGTAA-1", "d05.data2_AGGTTGTTCGCGCTGA-1", "d05.data2_GTTACCCGTAATGTGA-1", "d05.data2_CTCAATTCAACGACAG-1", "d05.data2_TCAGTTTTCGGACGTC-1", "d05.data2_CGGTCAGTCAGCTTCC-1", "d05.data2_ACGATCAAGATGCAGC-1", "d05.data2_ATGCGATGTCTCTCCA-1", "d05.data2_TGTGGCGAGGTAATCA-1", "d05.data2_TGCAGGCGTTCTGACA-1", "d05.data2_AGTTCGACAGGTTCAT-1", "d05.data2_GATGGAGTCTTCGTAT-1", "d05.data2_GGAATGGCATTGTCGA-1", "d05.data2_AGGGCCTCAACCAATC-1", "d05.data2_TATACCTGTTGGCCGT-1", "d05.data2_AAGTTCGGTGCACATT-1", "d05.data2_TTCGCTGGTAGTCGTT-1", "d05.data2_ATTCGTTGTGTCCACG-1", "d05.data2_ATCGTGAGTTATTCTC-1", "d05.data2_ACGCACGAGTCACAGG-1", "d05.data2_ACAGGGACATTGTCGA-1", "d05.data2_CGACAGCTCCGCTAGG-1", "d05.data2_AGGTAGGGTGACAGCA-1", "d05.data2_TGACGCGCAGCGTAGA-1", "d05.data2_ACATTTCGTTTGAACC-1", "d05.data2_ACGATCAAGTTCCGGC-1", "d05.data2_TTGTTCACACGCGGTT-1", "d05.data2_TAGACTGAGACCAACG-1", "d05.data2_CCTGCATAGGTCTGGA-1", "d05.data2_GTGGCGTGTGCGGCTT-1", "d05.data2_AATCACGCATTCCTCG-1", "d05.data2_TTGTTTGTCTGTTGGA-1", "d05.data2_ATGGTTGAGCATCAAA-1", "d05.data2_CAGGTATGTCTGTGCG-1", "d05.data2_TCCTTTCTCACATTGG-1", "d05.data2_TACGCTCCACTTACAG-1", "d05.data2_AAAGGTAAGACAACAT-1", "d05.data2_ACTGCAATCGATACAC-1", "d05.data2_GTTACGACATGCACTA-1", "d05.data2_CCTACGTAGCGGATCA-1", "d05.data2_GGCAGTCAGTCTTCCC-1", "d05.data2_ACTATTCGTGCGTTTA-1", "d05.data2_TGCGACGAGACCTTTG-1", "d05.data2_CCTCACAAGGAAACGA-1", "d05.data2_TACCTCGGTGGAGGTT-1", "d05.data2_TCAGTTTGTTGGGACA-1", "d05.data2_AATGAAGAGAGTGTTA-1", "d05.data2_AGTTAGCCAAAGACTA-1", "d05.data2_CTGATCCTCGAAGCAG-1", "d05.data2_TGATCTTGTACGTGAG-1", "d05.data2_GTCATCCCATCGAAGG-1", "d05.data2_GGTAACTCAGGACATG-1", "d05.data2_TTCTTGATCTTCGACC-1", "d05.data2_GTTGCGGAGCTCCACG-1", "d05.data2_GAGTCTAGTCGTTGCG-1", "d05.data2_TGCAGTAGTATATGGA-1", "d05.data2_ACTCTCGAGATTGTGA-1", "d05.data2_TCAGTTTAGCTGACCC-1", "d05.data2_ACCTGAAAGGCCTTCG-1", "d05.data2_CACATGATCACTGGTA-1", "d05.data2_TACCGAAAGAATAGTC-1", "d05.data2_GCTGAATCAGCTGGTC-1", "d05.data2_CATTGAGTCACTTCTA-1", "d05.data2_TCAGCAAAGCTGTGCC-1", "d05.data2_AGCTCAATCAGCCCAG-1", "d05.data2_CAACAGTGTCCTGGGT-1", "d05.data2_GAAGGGTGTCCCTCAT-1", "d05.data2_GCTGGGTGTCGTCATA-1", "d05.data2_TCTTCCTTCTGTGCGG-1", "d05.data2_CCACGTTGTTGGTGTT-1", "d05.data2_CCGTAGGCAGTGTGGA-1", "d05.data2_TGGTAGTTCCCTCGTA-1", "d05.data2_AGGAATAAGCTATCTG-1", "d05.data2_ATTCTTGGTGGTCTAT-1", "d05.data2_GATCCCTGTGAAGCTG-1", "d05.data2_TGCGGCATCTTCGTGC-1", "d05.data2_GAGTTGTTCGAGATGG-1", "d05.data2_CGAGGCTGTGAGCCAA-1", "d05.data2_GATGTTGGTAAGGCTG-1", "d05.data2_CTCAACCAGGTACAGC-1", "d05.data2_CGAGTTAAGCCTCTGG-1", "d05.data2_CATGCAAGTTCGGGTC-1", "d05.data2_TGGCGTGGTTATGACC-1", "d05.data2_CTAGGTAGTATCGTAC-1", "d05.data2_TTCATTGTCGGATAAA-1", "d05.data2_ACAGAAATCCGATAAC-1", "d05.data2_GTAGTACAGCATGATA-1", "d05.data2_TGGGTTACATCGCTAA-1", "d05.data2_CCTCTAGGTGGATTTC-1", "d05.data2_TATTGGGGTCTAGGTT-1", "d05.data2_CGGGACTTCCGTGTCT-1", "d05.data2_CTGTGAAAGTGATGGC-1", "d05.data2_ACTTATCGTCACGTGC-1", "d05.data2_TCTCAGCGTAGCTAAA-1", "d05.data2_CACCAAAAGTTTGTCG-1", "d05.data2_AGCTTCCGTCAATGGG-1", "d05.data2_CATTGTTGTCACAGAG-1", "d05.data2_AGTTAGCTCTATGTGG-1", "d05.data2_ACTCCCACATCCTTCG-1", "d05.data2_ACGGGTCAGGCATCTT-1", "d05.data2_ACCTGAAGTGGACCAA-1", "d05.data2_CGAGAAGGTAGCTTGT-1", "d05.data2_CATTGCCAGGCCTAGA-1", "d05.data2_AATGGAAAGTAGGCCA-1", "d05.data2_TTTACCAAGGTGCAGT-1", "d05.data2_AGATCCATCTCGGTCT-1", "d05.data2_AGCCAGCGTAGTCCTA-1", "d05.data2_TGTCAGACATCCGGCA-1", "d05.data2_GGGATCCCAATGTCAC-1", "d05.data2_GCATCTCGTCTGTGCG-1", "d05.data2_GATGTTGCATATGCGT-1", "d05.data2_GACCTTCAGACTACCT-1", "d05.data2_TCCATCGAGTGGACTG-1", "d05.data2_ATGAGGGTCGAACTCA-1", "d05.data2_TAAGCCAAGACTACGG-1", "d05.data2_TGTGCGGAGTAAATGC-1", "d05.data2_GTCGCGATCCATAGGT-1", "d05.data2_CTGGTCTGTACTCCGG-1", "d05.data2_AGTAACCGTTTGCAGT-1", "d05.data2_AACCTTTCATGCACTA-1", "d05.data2_GAGGGATTCTGCGATA-1", "d05.data2_GTCCACTTCCGTATGA-1", "d05.data2_GGTGTCGCATATACCG-1", "d05.data2_GTTCATTTCAATGTCG-1", "d05.data2_GACCGTGTCTTTGGAG-1", "d05.data2_AGGATAAGTCGATGCC-1", "d05.data2_ACATGCAGTGAGACCA-1", "d05.data2_CGGGTCAGTTGGATCT-1", "d05.data2_TTTCGATGTCAGTCGC-1", "d05.data2_CACTAAGGTTCGTAAC-1", "d05.data2_CGGACACGTTATGACC-1", "d05.data2_TGTAAGCCACAATTCG-1", "d05.data2_GTTAGTGTCTTGGTGA-1", "d05.data2_TTGGTTTTCGAATGCT-1", "d05.data2_CCACCATCATCTGCGG-1", "d05.data2_CAGTTCCCAAATGGAT-1", "d05.data2_GGCTTTCCATATCGGT-1", "d05.data2_TCTGGCTGTAAGCAAT-1", "d05.data2_CTCTCAGTCGGTCACG-1", "d05.data2_GGGACAAAGGTGGTTG-1", "d05.data2_GGAGATGCATCCGTTC-1", "d05.data2_TGCGATACATGTGGTT-1", "d05.data2_CCTCATGGTCCTACGG-1", "d05.data2_GTCATCCGTGTAACGG-1", "d05.data2_AGTGTTGAGAAACTAC-1", "d05.data2_TCAGTTTGTCTGTCCT-1", "d05.data2_CACGTTCGTGTCTTCC-1", "d05.data2_GCAACCGTCGGATTAC-1", "d05.data2_GACAGCCCACGTCATA-1", "d05.data2_TCCCAGTAGGTGCTAG-1", "d05.data2_TTACGTTAGATGGCGT-1", "d05.data2_AGAAATGGTTGTGCCG-1", "d05.data2_CACGTTCAGTCCCGGT-1", "d05.data2_AGGGTCCAGCGACAGT-1", "d05.data2_CATCCGTAGATCGACG-1", "d05.data2_ATGGGAGCAGCCCAGT-1", "d05.data2_TTCATTGGTGAGGATC-1", "d05.data2_TACCTGCCATCACAGT-1", "d05.data2_TGACCCTGTTTACTGG-1", "d05.data2_CGTTGGGGTTCTCAGA-1", "d05.data2_CGAGGAAGTAGTCCTA-1", "d05.data2_CCAATGACACACAGAG-1", "d05.data2_TCAAGTGCAAGGGCAT-1", "d05.data2_GCACATACAACCGCCA-1", "d05.data2_AGTGCCGGTGTCGATT-1", "d05.data2_TCCTTCTTCACCCATC-1", "d05.data2_ATACCTTAGCTGCCTG-1", "d05.data2_TATTTCGTCCACGGGT-1", "d05.data2_ACATTTCCACATACTG-1", "d05.data2_TCGACGGCAGAGAATT-1", "d05.data2_GGGTTTAAGCGTGCCT-1", "d05.data2_TTGTTTGAGAAAGCGA-1", "d05.data2_AGCGCTGCAAGACCGA-1", "d05.data2_TCATTACAGAGTGAAG-1", "d05.data2_CTGAATGTCTCCATAT-1", "d05.data2_TGTTTGTCATTGTCGA-1", "d05.data2_GGGTCTGCAGAGGTTG-1", "d05.data2_GTAAGTCCAAGTTTGC-1", "d05.data2_TTAGGGTAGGCCCAAA-1", "d05.data2_GAGTTACAGTGCAACG-1", "d05.data2_CATAGACCAGAGTAAT-1", "d05.data2_GTTAGACAGATAGTCA-1", "d05.data2_CTGCAGGCAATTGTGC-1", "d05.data2_CACAGATGTTGCACGC-1", "d05.data2_GCTGAATAGTGGAATT-1", "d05.data2_TTTCACACAATCTGCA-1", "d05.data2_TCGCTTGGTAACATAG-1", "d05.data2_GAGTTACTCGGCTATA-1", "d05.data2_CTTGATTCAGAGTCAG-1", "d05.data2_ATGCATGCATATGCGT-1", "d05.data2_GATAGCTAGCTCTTCC-1", "d05.data2_ACATCCCTCAGCTAGT-1", "d05.data2_GCATTAGAGCCGAATG-1", "d05.data2_CACTGTCGTACTGGGA-1", "d05.data2_CTCCAACGTCTTGCTC-1", "d05.data2_CCCTGATTCACCGCTT-1", "d05.data2_TTTGATCGTGCCAAGA-1", "d05.data2_ATTCCATGTGAGCGAT-1", "d05.data2_GTTTACTGTTGTCTAG-1", "d05.data2_CCATCACGTATAATGG-1", "d05.data2_GAGTCTAGTAAGATCA-1", "d05.data2_TCGTCCAAGGCTGGAT-1", "d05.data2_CTGGCAGGTCGCACAC-1", "d05.data2_TTGTTGTCAGTCGTTA-1", "d05.data2_GACGCTGTCTGCCTGT-1", "d05.data2_GAGGGATCAGTCAACT-1", "d05.data2_GCACGTGCAGCCGTTG-1", "d05.data2_CCACTTGTCCAACTAG-1", "d05.data2_GTTCGCTGTTCGAGCC-1", "d05.data2_AACGTCAGTCTAACTG-1", "d05.data2_CTGGTCTGTTGCCTAA-1", "d05.data2_CATTCCGCAATCGAAA-1", "d05.data2_GATTTCTGTCCGGTCA-1", "d05.data2_GCATTAGGTCACAATC-1", "d05.data2_GTCATGAAGAGAATCT-1", "d05.data2_CGAGTTATCTGCGGGT-1", "d05.data2_AGCGTATCAGGTATGG-1", "d05.data2_TAACACGCATCGCTAA-1", "d05.data2_TTGTTCAGTATACCCA-1", "d05.data2_TTTCAGTGTGCATCTA-1", "d05.data2_AGACTCAAGCCATCCG-1", "d05.data2_TTCTCTCTCTTCCCGA-1", "d05.data2_CTCTGGTTCGTAGTCA-1", "d05.data2_ATACCGACAGGGATAC-1", "d05.data2_GCATGATAGATGTAGT-1", "d05.data2_TGCAGATCAATCTAGC-1", "d05.data2_GTTAGTGCACTCAGAT-1", "d05.data2_GGTAGAGAGCCATTTG-1", "d05.data2_TTCTAACTCCGTGACG-1", "d05.data2_CTGCATCCACGTCATA-1", "d05.data2_TGATCAGCACCCAACG-1", "d05.data2_ATCTCTATCCATATGG-1", "d05.data2_AAATGGAGTAATCAGA-1", "d05.data2_TTGCTGCAGATCCGAG-1", "d05.data2_CCTCCAAGTGGCGTAA-1", "d05.data2_GGAATGGTCGGCTGGT-1", "d05.data2_GTCGCGAGTAGCACAG-1", "d05.data2_TACCGAATCATGCAGT-1", "d05.data2_TCCTTTCGTCCATCTC-1", "d05.data2_ATATCCTAGGCTTCCG-1", "d05.data2_GCAACATGTGCTCGTG-1", "d05.data2_CATGCTCTCTCCGAGG-1", "d05.data2_CTCATTAAGACCGTTT-1", "d05.data2_TTGTGGAAGGTAGATT-1", "d05.data2_CTTGATTTCGATACAC-1", "d05.data2_TCGCTTGAGTGCTCGC-1", "d05.data2_CTGTGGGAGCTGTTAC-1", "d05.data2_AGGGTCCCAGAGGAAA-1", "d05.data2_TCCTAATCACGCGTCA-1", "d05.data2_GATGTTGCAACAGATA-1", "d05.data2_CTTACCGCATGATCTG-1", "d05.data2_TACCTCGGTTGGGATG-1", "d05.data2_GTTGCTCTCGACCAAT-1", "d05.data2_TGTTACTTCATCCTGC-1", "d05.data2_CTTTCAATCGGACTGC-1", "d05.data2_TATTCCAAGATGAATC-1", "d05.data2_CCTAACCTCTCCAATT-1", "d05.data2_TGCATGAGTTGGCCTG-1", "d05.data2_AACCAACAGACCTGGA-1", "d05.data2_ATGGGTTGTACTCCGG-1", "d05.data2_CGCCATTCATGAAAGT-1", "d05.data2_TGTCCACAGTAGTGCG-1", "d05.data2_CATTGTTGTTCAGCGC-1", "d05.data2_CAGGGCTAGCGATGAC-1", "d05.data2_TCTAACTGTATATGGA-1", "d05.data2_CCCGGAACAGACCGCT-1", "d05.data2_TTCTCTCAGGTGAGCT-1", "d05.data2_TGCGGCAGTGTCATGT-1", "d05.data2_AATTCCTTCTATCCAT-1", "d05.data2_TGCATGAAGTGTTCAC-1", "d05.data2_TATATCCTCTCATGCC-1", "d05.data2_GTCAAACGTGTAAACA-1", "d05.data2_GATTCTTAGGCTCAAG-1", "d05.data2_CGCGTGATCAGTGTTG-1", "d05.data2_TACAACGCAGAGTCTT-1", "d05.data2_GACCGTGAGAAGCCTG-1", "d05.data2_CCGGACAAGTGCGCTC-1", "d05.data2_CGGGCATGTGATTAGA-1", "d05.data2_GTCATGATCGCCAGTG-1", "d05.data2_ACTGATGGTTGGAGGT-1", "d05.data2_TATTGGGGTTGCTCGG-1", "d05.data2_GCGTGCAAGTCAGCGA-1", "d05.data2_CACCAAACAGCAAGAC-1", "d05.data2_TTCACGCAGATTCGCT-1", "d05.data2_CGGGACTCACACTTAG-1", "d05.data2_GGGACCTGTCGAACGA-1", "d05.data2_CTTACCGCAGCCGGTT-1", "d05.data2_CCTATCGTCAGGGATG-1", "d05.data2_GCGAGAACAGTCGTTA-1", "d05.data2_GTGATGTGTTGGACCC-1", "d05.data2_TCCAGAACAGACTCTA-1", "d05.data2_CTTGAGAGTTCTTAGG-1", "d05.data2_TGTGGCGGTGCAGTGA-1", "d05.data2_TAATTCCCATCGAGCC-1", "d05.data2_AGTGATCGTATGAAAC-1", "d05.data2_GAGTGTTGTGTCCCTT-1", "d05.data2_TCGGATAGTCGTTGGC-1", "d05.data2_TCCACGTTCGGCATCG-1", "d05.data2_TGAATGCCAAAGGCTG-1", "d05.data2_ATCAGGTAGCGTGAAC-1", "d05.data2_CGAAGGAAGTTGAAAC-1", "d05.data2_CCACACTTCACAGTGT-1", "d05.data2_TACACCCTCATACAGC-1", "d05.data2_AGGGTCCCATGACGTT-1", "d05.data2_GGGTAGAAGGTTATAG-1", "d05.data2_GAACACTAGCACCGTC-1", "d05.data2_AGTAACCTCATTCGGA-1", "d05.data2_GATTGGTAGCAGTACG-1", "d05.data2_ATTACTCAGTTCTACG-1", "d05.data2_TCCCATGGTATTTCTC-1", "d05.data2_GCATCTCGTATTCCTT-1", "d05.data2_CCACGTTCAAGCGCTC-1", "d05.data2_TTCTCTCCATAATGCC-1", "d05.data2_TATCTGTCACAGTCAT-1", "d05.data2_CATGAGTAGACGCCAA-1", "d05.data2_GGTAGAGCACTCCTTG-1", "d05.data2_CTGTCGTTCTAGAGCT-1", "d05.data2_CTCAAGAGTAGATCCT-1", "d05.data2_GTATTGGTCATGAGGG-1", "d05.data2_ATTACTCGTACAATAG-1", "d05.data2_ACACTGAGTTGTACGT-1", "d05.data2_ATCGGATTCTGTTCAT-1", "d05.data2_TGTTACTAGCACTCCG-1", "d05.data2_TGTGGCGGTCAGATTC-1", "d05.data2_ATTACCTAGGTATCTC-1", "d05.data2_GGTCTGGTCAGGAGAC-1", "d05.data2_CCGTTCATCACTCGAA-1", "d05.data2_GACTCAATCTTGGGCG-1", "d05.data2_TGATTCTAGGCGACAT-1", "d05.data2_AACACACGTATACCCA-1", "d05.data2_CACGTGGGTTACGCCG-1", "d05.data2_CAATGACCACAAGCTT-1", "d05.data2_CCACAAAAGCATGGGT-1", "d05.data2_CTCCTTTTCAAAGCCT-1", "d05.data2_AAGTTCGGTGAGTCAG-1", "d05.data2_CTAACTTCAGTCAGCC-1", "d05.data2_TCCAGAACATTAGGAA-1", "d05.data2_TGTAACGAGCACTCGC-1", "d05.data2_ATCCACCCATAGGTTC-1", "d05.data2_CAATACGGTCATCGCG-1", "d05.data2_GACTGATAGGACAGCT-1", "d05.data2_CCAATGAAGCCGAATG-1", "d05.data2_GCGAGAAGTAGTGCGA-1", "d05.data2_GTTACGAGTTCCACAA-1", "d05.data2_CGAGTTACAGGTCCGT-1", "d05.data2_CAGAGCCGTAGCACAG-1", "d05.data2_CCTCTAGGTAGGGAGG-1", "d05.data2_CTGGACGGTCAGTCCG-1", "d05.data2_CTCCCTCTCCTTATGT-1", "d05.data2_ATGAGGGTCAGTGGGA-1", "d05.data2_GTCGAATTCCAATCCC-1", "d05.data2_ACGTTCCGTGAGCTCC-1", "d05.data2_AGTACCAAGATCCCAT-1", "d05.data2_TTACTGTCACCTGATA-1", "d05.data2_GATTTCTGTGTGATGG-1", "d05.data2_TCCACCACATCGGTTA-1", "d05.data2_CCACAAATCACTCTTA-1", "d05.data2_GTCTTTAGTTCTATCT-1", "d05.data2_ACTTCGCGTACGCTAT-1", "d05.data2_GTGGAGACACGTAGTT-1", "d05.data2_GCCAGCAAGTGCACTT-1", "d05.data2_ACCTGTCCAGGGATAC-1", "d05.data2_GTTAGACAGTAGGATT-1", "d05.data2_ACGGAAGGTAGGTGCA-1", "d05.data2_AACAGGGAGGACTATA-1", "d05.data2_TAGACTGCACCTTCGT-1", "d05.data2_AGGGCTCAGTCTGCGC-1", "d05.data2_TACTTGTTCCGATCTC-1", "d05.data2_TTTGACTGTATGGAAT-1", "d05.data2_ATAGGCTCAAGTCCCG-1", "d05.data2_TCTTGCGAGGCGAAGG-1", "d05.data2_TCCATGCAGTGCGACA-1", "d05.data2_ACCATTTCAGTTCCAA-1", "d05.data2_GGGTCTGGTCAGTTTG-1", "d05.data2_CTGTGGGTCTGCAGCG-1", "d05.data2_ACGATGTCAGCTCTGG-1", "d05.data2_TGTCCCACATGTACGT-1", "d05.data2_GCTGGGTAGACACACG-1", "d05.data2_ACTATCTGTGCTCCGA-1", "d05.data2_ATTCTTGCAAGTTGGG-1", "d05.data2_TTGCTGCTCGCAGAGA-1", "d05.data2_AGTCATGTCTTCGCTG-1", "d05.data2_CATTGCCTCGCCAATA-1", "d05.data2_CTCACTGGTTCGGCTG-1", "d05.data2_CCTGCATCATCCCGTT-1", "d05.data2_ATTCCCGAGTGACCTT-1", "d05.data2_AGATCCAGTTGCATTG-1", "d05.data2_TCATTCAGTGGAGGTT-1", "d05.data2_ATTACTCCATCCCGTT-1", "d05.data2_TACTTGTTCGTGCGAC-1", "d05.data2_GATCGTACATTGCTTT-1", "d05.data2_ACTGTCCGTTAACCTG-1", "d05.data2_GGCTGTGCAGCGTAGA-1", "d05.data2_TGGGAAGGTCGCGTCA-1", "d05.data2_AACCATGGTTACCTTT-1", "d05.data2_GCGGATCCAGGAGGTT-1", "d05.data2_AATAGAGTCATCCTAT-1", "d05.data2_ACAAGCTAGGAGGTTC-1", "d05.data2_TTGACCCTCATGGGAG-1", "d05.data2_CCATAAGAGGCATCGA-1", "d05.data2_GGCACGTAGTCAAGCG-1", "d05.data2_GCTACAACAGTCAGCC-1", "d05.data2_ACCCTTGGTGATAGAT-1", "d05.data2_GAAATGATCTCCACTG-1", "d05.data2_TGTTGGAAGAGTCACG-1", "d05.data2_GATAGCTTCTACGGGC-1", "d05.data2_CCTCACACAATAGTAG-1", "d05.data2_AAACGCTCAACGAGGT-1", "d05.data2_GGTTGTATCAACCTTT-1", "d05.data2_CAATGACCACGACGTC-1", "d05.data2_TGCTTGCGTCATATGC-1", "d05.data2_GTGTGGCTCGTTAGTG-1", "d05.data2_ATGGTTGAGTAGTCCT-1", "d05.data2_GATTGGTAGGTCTGGA-1", "d05.data2_AGGGCCTGTCCGGATC-1", "d05.data2_CTGTGGGAGCTCGTGC-1", "d05.data2_AGCGCCAAGGAGTCTG-1", "d05.data2_CAACGGCTCTTGTGCC-1", "d05.data2_TATGTTCGTGGCACTC-1", "d05.data2_GAGAGGTCACAAATGA-1", "d05.data2_TCGACCTTCCGTAATG-1", "d05.data2_AGACAGGCACTCATAG-1", "d05.data2_TAACTTCCAACGCCCA-1", "d05.data2_TGGGCTGAGGGCGAAG-1", "d05.data2_ATGGAGGCACGTGAGA-1", "d05.data2_AAACGAAGTGACACGA-1", "d05.data2_ATGGTTGCAACGGTAG-1", "d05.data2_TCCGATCCACAGTCCG-1", "d05.data2_TAGGAGGCACTTCATT-1", "d05.data2_TGCGACGAGTCTTCGA-1", "d05.data2_GTAAGTCAGCGACTGA-1", "d05.data2_AGATCGTAGCACCGAA-1", "d05.data2_TTGCGTCCAGCATGCC-1", "d05.data2_TTGCGTCTCCGTTGAA-1", "d05.data2_TCATTTGCAGTCGCTG-1", "d05.data2_CGCGTGAGTTCGAAGG-1", "d05.data2_CTAAGTGTCCAACTGA-1", "d05.data2_TTGTTGTAGTTAGTGA-1", "d05.data2_GAGGGATTCGTTCCCA-1", "d05.data2_TGTTCTAAGCACCGTC-1", "d05.data2_TGGGCTGGTTGCTCAA-1", "d05.data2_TGCATCCGTTGACGGA-1", "d05.data2_GAGACCCTCCACTAGA-1", "d05.data2_ATCCCTGAGGCACCAA-1", "d05.data2_CTGTCGTCATGGGAAC-1", "d05.data2_GGGTATTAGCACCCAC-1", "d05.data2_TCATTCAGTCAACCTA-1", "d05.data2_AGGTCTACATACAGGG-1", "d05.data2_ATGGGTTCAAGATCCT-1", "d05.data2_CCTCAGTCAACAGCTT-1", "d05.data2_TGGGTTAGTAACTTCG-1", "d05.data2_ACCGTTCCATGGGATG-1", "d05.data2_TTCCAATGTCTAACGT-1", "d05.data2_TGGTTAGCAGGCTATT-1", "d05.data2_CACGTGGAGTACTGTC-1", "d05.data2_TCGCTCAGTATGTGTC-1", "d05.data2_CTCATTAGTAGTGGCA-1", "d05.data2_TTTCGATAGGCAGCTA-1", "d05.data2_ATGAAAGTCCCAAGTA-1", "d05.data2_AATCGACTCCACGTCT-1", "d05.data2_ACATCCCGTGGATCGA-1", "d05.data2_GTTCTATTCGCTGCGA-1", "d05.data2_TCGTCCAAGTGAGGCT-1", "d05.data2_TACGGTATCCGGCAGT-1", "d05.data2_CAGATCAGTATGTCTG-1", "d05.data2_CGTGAATGTCGTTATG-1", "d05.data2_GAATCACGTGATACCT-1", "d05.data2_GGTGATTAGCCATATC-1", "d05.data2_AGGCCACAGCCATGCC-1", "d05.data2_ATTGTTCCAGACACAG-1", "d05.data2_CAGTTCCTCTCTTCAA-1", "d05.data2_TCAGGGCGTAAGACCG-1", "d05.data2_GTTGAACCACCAGACC-1", "d05.data2_GTTCTATAGTAATACG-1", "d05.data2_CCACACTGTCGTTATG-1", "d05.data2_GAGTGAGTCAGAGTGG-1", "d05.data2_GGCTTTCCACCAGTTA-1", "d05.data2_AAGTCGTCAGGTTCAT-1", "d05.data2_AAAGGATAGCCTGTCG-1", "d05.data2_TTCCGGTAGGACGCTA-1", "d05.data2_AGGACGATCATTCGGA-1", "d05.data2_AGGATAACATGGAGAC-1", "d05.data2_CAGTGCGCATCTATCT-1", "d05.data2_TGGGATTTCGGCCCAA-1", "d05.data2_TATACCTCACAAACGG-1", "d05.data2_CAACGATCACATGGTT-1", "d05.data2_GGAGCAAAGCCATTCA-1", "d05.data2_CCTCTCCTCGGCGATC-1", "d05.data2_TTTAGTCTCGGCCAAC-1", "d05.data2_TTAGGCAGTTCTAAGC-1", "d05.data2_ATTTCTGGTTATGACC-1", "d05.data2_ACCTGTCGTCGTTGGC-1", "d05.data2_CCTGTTGGTTCGTAAC-1", "d05.data2_GAGCCTGTCTACCAGA-1", "d05.data2_AACGTCAAGTCGGCCT-1", "d05.data2_AGGATAATCCATCACC-1", "d05.data2_CAGCAATTCATGCCCT-1", "d05.data2_GTAGATCAGCGGACAT-1", "d05.data2_ATCCGTCTCGAAGCAG-1", "d05.data2_TTTGGTTTCCCATACC-1", "d05.data2_ACGTTCCGTACATTGC-1", "d05.data2_GTAAGTCCACCCTCTA-1", "d05.data2_GATGACTTCCATACAG-1", "d05.data2_CCACACTTCTCCGTGT-1", "d05.data2_ATTTACCTCGCCTATC-1", "d05.data2_TGGGATTAGGCTTAGG-1", "d05.data2_TTCTAACAGATCGCTT-1", "d05.data2_GTGTTAGTCACGATCA-1", "d05.data2_CCAAGCGGTAACAGGC-1", "d05.data2_GCCAGCAGTGTGTCCG-1", "d05.data2_CTACCCATCGGCTGTG-1", "d05.data2_ACTATCTTCATGAGTC-1", "d05.data2_ACTTTCATCAATCAGC-1", "d05.data2_CAACGGCCAATGGCCC-1", "d05.data2_CAAAGAAGTCTAGGTT-1", "d05.data2_CTTCCGAAGGTTCAGG-1", "d05.data2_CCATCACCAACATACC-1", "d05.data2_TAACGACAGGACTGGT-1", "d05.data2_GCGTGCATCGCGGACT-1", "d05.data2_CTCATTAAGAGGCGTT-1", "d05.data2_ATGAGGGGTTAGGGTG-1", "d05.data2_TTGATGGCAGGCGAAT-1", "d05.data2_GATTCGATCTTACCGC-1", "d05.data2_CCCTAACTCTTCCGTG-1", "d05.data2_TCGGTCTTCCGATCGG-1", "d05.data2_CTCCGATTCGGAAGGT-1", "d05.data2_CAACGGCAGCACCAGA-1", "d05.data2_TTCTGTAAGAAATGGG-1", "d05.data2_TTTGGTTCAGTCTCTC-1", "d05.data2_CAAGGGATCGCCAACG-1", "d05.data2_AGAGCAGCAAACTAGA-1", "d05.data2_CGTTGGGTCTATCGGA-1", "d05.data2_ACTGCAACAGGTCTCG-1", "d05.data2_CGAGGAACAGAGGGTT-1", "d05.data2_CATGAGTGTCTCTCAC-1", "d05.data2_CAGTGCGCAGCGATTT-1", "d05.data2_CTCCGATTCTGTAAGC-1", "d05.data2_TGAACGTGTAATGCTC-1", "d05.data2_AAACGCTGTTAGAGAT-1", "d05.data2_AGTACCACAGTGTGGA-1", "d05.data2_GTCACGGCATCTTTCA-1", "d05.data2_CTGTATTTCCGTTTCG-1", "d05.data2_CTACCCAGTTTCGTTT-1", "d05.data2_AAAGGGCCACAGTGAG-1", "d05.data2_CAGATACGTGTGCTTA-1", "d05.data2_GAGATGGGTCCAAATC-1", "d05.data2_GCGAGAAGTACCCGCA-1", "d05.data2_GATTTCTTCCCAGTGG-1", "d05.data2_CACATGAAGATCGGTG-1", "d05.data2_AGGGAGTCAACTTCTT-1", "d05.data2_GTAGGTTAGCGACTGA-1", "d05.data2_AGTAACCTCCTCACGT-1", "d05.data2_GACAGCCGTAACATGA-1", "d05.data2_CAAAGAATCAGCGTCG-1", "d05.data2_GGGTGTCAGGATTTGA-1", "d05.data2_TTCGATTGTACCCACG-1", "d05.data2_ATTCCTAAGGCACGAT-1", "d05.data2_TCGGATAGTCGCCACA-1", "d05.data2_GTCACGGAGTGACACG-1", "d05.data2_TCACGGGTCGTTATCT-1", "d05.data2_TGGAGGATCACCTGTC-1", "d05.data2_CCTTGTGAGTGATAAC-1", "d05.data2_CGGGCATTCGGCTGGT-1", "d05.data2_GCCAGTGAGCGGGTAT-1", "d05.data2_TCATACTAGTGGTCAG-1", "d05.data2_ACCCTTGGTGGATTTC-1", "d05.data2_GTGACGCGTTGGTGTT-1", "d05.data2_TACAACGAGTATTGCC-1", "d05.data2_CCATCACTCGCCTAGG-1", "d05.data2_TCACTATAGAGCCCAA-1", "d05.data2_GCGGATCCATAGATCC-1", "d05.data2_TGTGAGTAGGCACAAC-1", "d05.data2_TTGCATTTCTCTCTAA-1", "d05.data2_CTTAGGATCCATTTGT-1", "d05.data2_TAAGCCATCATGTCTT-1", "d05.data2_GAATCGTCAGTTGGTT-1", "d05.data2_GACACGCTCATCCCGT-1", "d05.data2_ACCCTCAAGGAACGTC-1", "d05.data2_ACCTACCGTAATCAAG-1", "d05.data2_TCGGGCATCGATCCAA-1", "d05.data2_TCACACCTCAACCTTT-1", "d05.data2_GAACACTTCTGACCCT-1", "d05.data2_TGAGCGCTCCGAACGC-1", "d05.data2_GAACTGTCACTTCAAG-1", "d05.data2_CTAACTTGTGCATTAC-1", "d05.data2_TGTTCATCATGTTACG-1", "d05.data2_TCATTACAGGCGAAGG-1", "d05.data2_CTGCCTATCGTCCATC-1", "d05.data2_CATAAGCTCTCCCATG-1", "d05.data2_ATTTCACTCCGATAGT-1", "d05.data2_CCACGTTGTGAGGAAA-1", "d05.data2_AGCTTCCAGTATGACA-1", "d05.data2_GGGACTCTCAGTAGGG-1", "d05.data2_TTACCGCGTAGCGCCT-1", "d05.data2_ATCACTTCACTGGACC-1", "d05.data2_CTCAAGAAGGTTTACC-1", "d05.data2_TACGTCCTCAACGTGT-1", "d05.data2_TGGAACTGTGCGTTTA-1", "d05.data2_CCTGTTGAGTGATAAC-1", "d05.data2_ACCATTTGTACCCGAC-1", "d05.data2_TTTCACAGTGGCTGAA-1", "d05.data2_CACATGAGTCATCAGT-1", "d05.data2_TGCTTCGGTCCACAGC-1", "d05.data2_CTGCCTACAACAAGTA-1", "d05.data2_TTTCATGAGGGCTTCC-1", "d05.data2_CTAACTTGTACGCTTA-1", "d05.data2_ATGCATGAGCATGCAG-1", "d05.data2_CGCATAATCCAGTTCC-1", "d05.data2_GTGTGATCATTGGGAG-1", "d05.data2_GAGCCTGAGTGAACAT-1", "d05.data2_AACGTCAGTTCAAGTC-1", "d05.data2_AGCGCTGCAGAGTGAC-1", "d05.data2_AAACGAATCACCTCGT-1", "d05.data2_TAGCACAAGACTACGG-1", "d05.data2_CTCCCTCCAATTGGTC-1", "d05.data2_CATGCCTTCCCATTCG-1", "d05.data2_CTGTATTCAGTCGCTG-1", "d05.data2_CATGGATAGGTAGCCA-1", "d05.data2_AGTAACCTCCACTTTA-1", "d05.data2_AACCTTTTCGTGGGAA-1", "d05.data2_GTTGCTCAGGCATCGA-1", "d05.data2_AAGACAATCAACGTGT-1", "d05.data2_TACCTCGAGTTGTCGT-1", "d05.data2_GTGTAACAGAATCGAT-1", "d05.data2_CCGTTCACATGACAAA-1", "d05.data2_TGTCCTGCATCGATAC-1", "d05.data2_ATGCATGTCCCTCAAC-1", "d05.data2_GCCAGTGTCTGCGGGT-1", "d05.data2_TATTGCTCACCTGCAG-1", "d05.data2_TGCAGTATCGAGTCCG-1", "d05.data2_TTGTTCATCTGCATAG-1", "d05.data2_TGCACGGAGCTCACTA-1", "d05.data2_ATGGTTGTCATCTGTT-1", "d05.data2_CATTTCAGTGCCTACG-1", "d05.data2_AGACAAACACTTGTGA-1", "d05.data2_ACAAAGAGTGATAGTA-1", "d05.data2_CACAACAAGCCTCAAT-1", "d05.data2_GCCGATGCAACTCCAA-1", "d05.data2_AATCGACAGGTCCCTG-1", "d05.data2_TACGTCCGTCAGTCTA-1", "d05.data2_AGGAATAGTCACTTCC-1", "d05.data2_GTTGCGGGTCCTGTTC-1", "d05.data2_CGATGCGCATTCTTCA-1", "d05.data2_TGTAAGCAGAATTGTG-1", "d05.data2_TTCTGTATCGGCATTA-1", "d05.data2_TCACATTTCTTTGCAT-1", "d05.data2_AGACCCGCAAGGATGC-1", "d05.data2_AGTCACAGTGTCTTGA-1", "d05.data2_TGGGCTGAGCTAGAGC-1", "d05.data2_TCAGTGATCCCGAGAC-1", "d05.data2_GTTGTGAAGCGTTACT-1", "d05.data2_GGCTTTCAGCCACCGT-1", "d05.data2_GTGTGATTCGAACGCC-1", "d05.data2_GAAGAATTCGCTACGG-1", "d05.data2_CGTTGGGGTCCACAGC-1", "d05.data2_TTTACCATCCATTGCC-1", "d05.data2_ACACCAAGTGCAACAG-1", "d05.data2_TAGGGTTAGCATGATA-1", "d05.data2_AAGAACAAGTAGTCTC-1", "d05.data2_CATTGTTTCCAATGCA-1", "d05.data2_GACACGCTCAGGTAAA-1", "d05.data2_CACTGTCAGCCTCAGC-1", "d05.data2_GGGTTATTCATCTATC-1", "d05.data2_CTTGATTAGATGACAT-1", "d05.data2_ACCTGTCAGAATCTAG-1", "d05.data2_TCCCAGTCAACAAAGT-1", "d05.data2_TGATCTTGTAACGTTC-1", "d05.data2_TCATGCCAGAATCTAG-1", "d05.data2_CTGAATGCAGTATGAA-1", "d05.data2_GAGCTGCAGTAATTGG-1", "d05.data2_GCACGTGTCGCTATTT-1", "d05.data2_CAGCGTGCATAGAATG-1", "d05.data2_GAGTCTAGTTCAAACC-1", "d05.data2_GTTCCGTAGGCATCTT-1", "d05.data2_TGCAGGCAGATAGCTA-1", "d05.data2_TGAGCATAGAATCGAT-1", "d05.data2_GCCAGTGGTCTCTCAC-1", "d05.data2_TGATGCAAGTACTGTC-1", "d05.data2_CTGTATTAGGGAGGTG-1", "d05.data2_ATTCCATTCCATTTGT-1", "d05.data2_CTCAGAAGTCAACCAT-1", "d05.data2_TCAAGTGGTCACTAGT-1", "d05.data2_GATGTTGAGTAGTCCT-1", "d05.data2_CATGCCTGTAGTATAG-1", "d05.data2_ACCGTTCTCTACGGGC-1", "d05.data2_ATTCCTACACCAGTTA-1", "d05.data2_AGTGCCGGTTAGAAGT-1", "d05.data2_CATGCTCCATGTGACT-1", "d05.data2_CTGGACGTCCCTTGTG-1", "d05.data2_GTTACAGAGACATCAA-1", "d05.data2_AGCGATTAGTTCCGTA-1", "d05.data2_GTGGCGTTCCGCGGAT-1", "d05.data2_CGGGCATAGACATCCT-1", "d05.data2_AGGGCCTGTTGGCCGT-1", "d05.data2_TGGGAAGTCCCAGGAC-1", "d05.data2_ACCGTTCTCTGTGCTC-1", "d05.data2_TTCTCTCCACCTCAGG-1", "d05.data2_TACACCCTCGAGCCAC-1", "d05.data2_TCTTTGAGTCGGTGAA-1", "d05.data2_CGTGCTTTCCACGGAC-1", "d05.data2_AGAAGTACATATACCG-1", "d05.data2_GAGCTGCGTCGCTTAA-1", "d05.data2_GTGGCGTTCAGACCTA-1", "d05.data2_CGAGAAGCACACGTGC-1", "d05.data2_CTCTCAGTCTCAAAGC-1", "d05.data2_TGCCGAGAGACAGTCG-1", "d05.data2_ACCCTCAAGGTTAAAC-1", "d05.data2_CCCTAACCAACTTCTT-1", "d05.data2_GACACGCGTCAAGTTC-1", "d05.data2_TTCAATCCAGAACTTC-1", "d05.data2_ACTTCGCCACCAGGTC-1", "d05.data2_ACCGTTCAGTGCCAGA-1", "d05.data2_GTCAAACGTCCAGTTA-1", "d05.data2_TTGCCTGCATGGCCCA-1", "d05.data2_ACTTATCGTTTGTTGG-1", "d05.data2_AGGATAAAGTTACGTC-1", "d05.data2_TCACTCGCAAATGGAT-1", "d05.data2_TCCTCTTCAAATCGTC-1", "d05.data2_CACTGAAGTTCAGCGC-1", "d05.data2_ACAAAGAAGGAGAGGC-1", "d05.data2_GTCAGCGGTTTCCCAC-1", "d05.data2_CATCCGTAGTAAGACT-1", "d05.data2_ACATCCCAGAGAAGGT-1", "d05.data2_GTTCATTGTCCACACG-1", "d05.data2_CCACCATCATGTTTGG-1", "d05.data2_TCCTAATCAAATACAG-1", "d05.data2_ATACTTCGTGTCGCTG-1", "d05.data2_GGGTTATCAAGAGTTA-1", "d05.data2_AATGGAACAAACACCT-1", "d05.data2_TCTCCGACAGTTGGTT-1", "d05.data2_GCACTAACAAGTTCGT-1", "d05.data2_CCTCTAGAGTATGGCG-1", "d05.data2_GGGTATTAGTGATTCC-1", "d05.data2_AGAGAATGTCCAGCCA-1", "d05.data2_TAACCAGAGTCCCGGT-1", "d05.data2_GAACTGTAGCGGCTCT-1", "d05.data2_TCTCAGCCAGTTTCAG-1", "d05.data2_TCTTAGTCATCGATCA-1", "d05.data2_CCACTTGGTCGCTTGG-1", "d05.data2_CGGAATTCAAGGCTTT-1", "d05.data2_TGGCGTGAGTCGCTAT-1", "d05.data2_ACACGCGTCAGACATC-1", "d05.data2_GTGCAGCCAAACTCTG-1", "d05.data2_CCTAACCGTAGATTAG-1", "d05.data2_GTCACTCCACTTGTGA-1", "d05.data2_TCATCCGCAGCGACCT-1", "d05.data2_GAAGCGAAGATCCGAG-1", "d05.data2_ATGTCCCGTTGCATCA-1", "d05.data2_AGGTAGGTCGCTGTCT-1", "d05.data2_TCGACCTGTGCGAGTA-1", "d05.data2_CTCCCAAGTATCCTTT-1", "d05.data2_CTTAGGACATAGAATG-1", "d05.data2_ATTCCCGGTTCGTTCC-1", "d05.data2_TGGAACTTCTCCTGTG-1", "d05.data2_ACTACGAAGCTCGCAC-1", "d05.data2_GGTAACTGTTCGTGCG-1", "d05.data2_ACTGATGTCCCAATAG-1", "d05.data2_CGACAGCCAAACTCGT-1", "d05.data2_ACCAAACCACATGACT-1", "d05.data2_CCTCAGTAGATACCAA-1", "d05.data2_TGGAGAGGTGGGCTCT-1", "d05.data2_GAGCCTGCAGCTAACT-1", "d05.data2_ATTCAGGAGATGCTAA-1", "d05.data2_TGGAGAGGTTGATCGT-1", "d05.data2_TATACCTGTGGTCCGT-1", "d05.data2_ATTGTTCGTTTCGATG-1", "d05.data2_GTAATCGAGCGCCTAC-1", "d05.data2_AAGATAGTCGTTCAGA-1", "d05.data2_ATGAAAGCACTGGATT-1", "d05.data2_ATAGACCCAGTCACGC-1", "d05.data2_GAACGTTTCCTCTAGC-1", "d05.data2_ATTCACTAGCGACTTT-1", "d05.data2_CTTCAATGTTTAGAGA-1", "d05.data2_CACAGGCCACTTGGGC-1", "d05.data2_CGACAGCCAGTTGTCA-1", "d05.data2_CAGGTATCAATCGCCG-1", "d05.data2_TGGTTAGGTCGTAATC-1", "d05.data2_TGACGCGAGTTCCGTA-1", "d05.data2_AAGCGAGAGGCCTGCT-1", "d05.data2_AGCTACAGTTTCGTTT-1", "d05.data2_ACGGTTAGTTTCACTT-1", "d05.data2_AAAGAACCACCTCTGT-1", "d05.data2_TTGGGTATCGTGTGAT-1", "d05.data2_TTGATGGAGGAATTAC-1", "d05.data2_CGAGGAATCAAGAAAC-1", "d05.data2_TGTGTGAGTTGTCCCT-1", "d05.data2_GCTACCTTCCGACGGT-1", "d05.data2_CAGTTCCAGCCATTCA-1", "d05.data2_CACGAATGTGCTATTG-1", "d05.data2_CCACGTTAGCCTGAGA-1", "d05.data2_ATGGATCGTATAGCTC-1", "d05.data2_GTGGTTACAGCTGCCA-1", "d05.data2_CAGGGCTGTACCCACG-1", "d05.data2_TTGTGTTAGTATTGCC-1", "d05.data2_CATCCACGTTACCCAA-1", "d05.data2_AACCTTTGTGTTAACC-1", "d05.data2_CCTTCAGGTAGCGATG-1", "d05.data2_TACCGAATCCCGGTAG-1", "d05.data2_CCTATCGGTTAAACAG-1", "d05.data2_TCATTTGCAGGAGGAG-1", "d05.data2_TAGGTTGCAGCAGGAT-1", "d05.data2_GGGTATTCAATCTCTT-1", "d05.data2_GTCTAGATCCACTTTA-1", "d05.data2_ACATCGAGTAAGCGGT-1", "d05.data2_TTTACGTGTCGTATGT-1", "d05.data2_AGGGTGAAGAGCCCAA-1", "d05.data2_ATTTACCCACGTACAT-1", "d05.data2_GCAGTTAGTTGTTTGG-1", "d05.data2_ATCTCTACATCTCCCA-1", "d05.data2_GTTGTGAGTAATTAGG-1", "d05.data2_CAGATCAGTAGACAGC-1", "d05.data2_ATGTCCCAGTCTAGCT-1", "d05.data2_AGGGTGAGTCCGTACG-1", "d05.data2_AGTACTGGTTACCTGA-1", "d05.data2_CACATGACAGACCATT-1", "d05.data2_GATTTCTCACAAATAG-1", "d05.data2_GGCGTCACACTAGGTT-1", "d05.data2_TCTTGCGAGTGGAATT-1", "d05.data2_TGATTTCAGTTCACTG-1", "d05.data2_CAACAGTGTCTATGAC-1", "d05.data2_CTTAGGACAGTTGCGC-1", "d05.data2_TGTGCGGCATGCCGCA-1", "d05.data2_CTGCCTAAGTTGGACG-1", "d05.data2_ACTTATCCACGACGAA-1", "d05.data2_CTCCACAGTACCCAGC-1", "d05.data2_CCTCTAGTCGAAATCC-1", "d05.data2_TAGCACATCGATGCAT-1", "d05.data2_CATTTCATCGTTCTGC-1", "d05.data2_CCATAAGGTGGATACG-1", "d05.data2_TCGGATACACCCTATC-1", "d05.data2_CACTGTCCAGTCGAGA-1", "d05.data2_GTGGAGATCAAGTTGC-1", "d05.data2_GGGCGTTTCGCCTTTG-1", "d05.data2_GAAACCTGTATCCCAA-1", "d05.data2_AGCGATTGTGAAGCGT-1", "d05.data2_TAGGGTTAGTAAGAGG-1", "d05.data2_TTGGGTATCCTAAACG-1", "d05.data2_GTCGTTCGTTCGTGCG-1", "d05.data2_AGCTTCCGTACGGTTT-1", "d05.data2_AGATCGTGTATCGTTG-1", "d05.data2_ACTTTGTTCACTCACC-1", "d05.data2_ACCTACCCATCTCGTC-1", "d05.data2_TGTTACTTCCGCGATG-1", "d05.data2_TCAGTCCGTTCTATCT-1", "d05.data2_CCATAAGAGATTGTGA-1", "d05.data2_TCGCTCAGTCCACTTC-1", "d05.data2_CTTGATTTCGAACGCC-1", "d05.data2_TTGTGGAAGTTTGGCT-1", "d05.data2_CTCAATTCAGGGTTGA-1", "d05.data2_TTTAGTCGTATGAAAC-1", "d05.data2_CCTATCGTCCCGTGAG-1", "d05.data2_GACTATGCAATCAGCT-1", "d05.data2_TAGAGTCTCGCACTCT-1", "d05.data2_ACATGCACATTCGATG-1", "d05.data2_GGAGGTATCTCGCTCA-1", "d05.data2_TCGTGGGCACCTAAAC-1", "d05.data2_CTCAGAAAGGACATCG-1", "d05.data2_CCACAAACATCGATCA-1", "d05.data2_TGCAGGCCAGTTGAAA-1", "d05.data2_GGGACTCCATGTTTGG-1", "d05.data2_GTCATTTCACGAAGAC-1", "d05.data2_TCTTAGTCAAGAGTTA-1", "d05.data2_GGTAGAGCACTGGCGT-1", "d05.data2_AAGCCATCAATTCTTC-1", "d05.data2_ACTTATCCAGCTCATA-1", "d05.data2_CTTAGGAGTTCCGCAG-1", "d05.data2_TCAGCCTAGACGAAGA-1", "d05.data2_GCTTTCGAGTCTTCCC-1", "d05.data2_TCGCTTGGTCGTACAT-1", "d05.data2_ATTTACCTCACCGACG-1", "d05.data2_CTCAACCGTATCAGGG-1", "d05.data2_GGCAGTCGTTACGTAC-1", "d05.data2_CATTGCCTCCTCTCTT-1", "d05.data2_TAGCACATCACCGCTT-1", "d05.data2_CGTGCTTGTATGTGTC-1", "d05.data2_CTCCTCCTCTGAATCG-1", "d05.data2_CATTCTACACATGAAA-1", "d05.data2_CCACGTTGTGGGACAT-1", "d05.data2_TCATGCCAGCCGGATA-1", "d05.data2_GATTTCTAGCGGGTAT-1", "d05.data2_GCAACATAGCAACCAG-1", "d05.data2_CGAAGGATCACCTGGG-1", "d05.data2_TTTCCTCTCATCGACA-1", "d05.data2_TTACGTTAGTAAACGT-1", "d05.data2_CTTCGGTTCCGTTGGG-1", "d05.data2_AGCGCTGCAAGTCCCG-1", "d05.data2_TATTGGGAGATGTAGT-1", "d05.data2_TCGCTTGTCAACGTGT-1", "d05.data2_TGGATCAAGGGCTTCC-1", "d05.data2_TCATTTGAGTAAGAGG-1", "d05.data2_AGCCAGCCACTGTTCC-1", "d05.data2_GTAAGTCTCTCATGGA-1", "d05.data2_TTGTTGTCACTGTCCT-1", "d05.data2_AACCACAGTCAGGTGA-1", "d05.data2_TACACCCAGTGCTCAT-1", "d05.data2_AAACGCTCAAATGAAC-1", "d05.data2_ACTGTCCTCCGTATAG-1", "d05.data2_GTAACACCATTCCTAT-1", "d05.data2_CATCCCACAAACACGG-1", "d05.data2_TCCTTTCTCTTGGTCC-1", "d05.data2_CTGCATCGTTCCTAGA-1", "d05.data2_CAGCACGGTACTAGCT-1", "d05.data2_CAGAGCCAGTTCCATG-1", "d05.data2_TTGGTTTGTCCCGCAA-1", "d05.data2_CAGTTAGCAGTTCACA-1", "d05.data2_CCGCAAGAGGATACGC-1", "d05.data2_GATTGGTTCGACCACG-1", "d05.data2_GAAACCTCATAGAATG-1", "d05.data2_GCACGTGTCTCGCTTG-1", "d05.data2_CTCAAGAAGCACGGAT-1", "d05.data2_GCCAGTGGTCTTACAG-1", "d05.data2_ATCTTCATCAACGCTA-1", "d05.data2_AGAGAGCAGGTTGCCC-1", "d05.data2_ATGACCATCCATAGAC-1", "d05.data2_CTAACTTAGTACAACA-1", "d05.data2_CATGCAAAGGATTACA-1", "d05.data2_CACCAAACACGAGGAT-1", "d05.data2_GTGAGCCTCCTATTGT-1", "d05.data2_ACCAACAGTGAAGCTG-1", "d05.data2_AGGTCTAAGGTTGGTG-1", "d05.data2_ATCCTATGTGTCATGT-1", "d05.data2_CAATGACTCTGAGTCA-1", "d05.data2_TCGGATATCGCAATTG-1", "d05.data2_GAAGGACGTGTTATCG-1", "d05.data2_TCAGTCCCACGCAGTC-1", "d05.data2_TTCTCTCCAGGGTCTC-1", "d05.data2_CAACAGTCATGGATCT-1", "d05.data2_TTGCCTGAGGGAGATA-1", "d05.data2_AGCTACAAGAATCGCG-1", "d05.data2_CCTAACCCATCGGTTA-1", "d05.data2_GCTGGGTGTTCCGCGA-1", "d05.data2_CATGCGGAGCTGAAAT-1", "d05.data2_AACAAGAGTATTGGCT-1", "d05.data2_AAGGAATGTCAATCTG-1", "d05.data2_CTTGAGAAGTAACAGT-1", "d05.data2_ATAGACCTCATTTCGT-1", "d05.data2_ACGGTTATCTTGGATG-1", "d05.data2_CATACCCCATGAGAAT-1", "d05.data2_CATGGATGTATGAGAT-1", "d05.data2_ATACTTCGTTAAGGAT-1", "d05.data2_GTCACGGGTGCCTTCT-1", "d05.data2_TGAACGTTCTTAGGAC-1", "d05.data2_ATTTACCAGTCATGCT-1", "d05.data2_GAATCACCATACAGGG-1", "d05.data2_GAGTCTAAGCTGTACT-1", "d05.data2_TCCTCGATCTATGTGG-1", "d05.data2_CTTCCTTTCATTGCTT-1", "d05.data2_CATCCCATCTTGAGCA-1", "d05.data2_TGCGATACACAATTCG-1", "d05.data2_AAGACAACACCTGAAT-1", "d05.data2_TGGTACATCGACACTA-1", "d05.data2_GGGTGTCTCCGAGTGC-1", "d05.data2_GTAGAAAGTCCGTACG-1", "d05.data2_GGCACGTTCCGACAGC-1", "d05.data2_GGATCTACATGAGTAA-1", "d05.data2_AGAGAATTCTAACGCA-1", "d05.data2_TCATTGTTCTTAGCAG-1", "d05.data2_GGCTTGGTCAGTAGGG-1", "d05.data2_ATGATCGGTGAGTTTC-1", "d05.data2_GTCCCATTCGTTCAGA-1", "d05.data2_AAGGAATGTGATACTC-1", "d05.data2_CTACTATTCACGATAC-1", "d05.data2_TGAATGCGTTTCCCAC-1", "d05.data2_TTCGGTCTCAGCTAGT-1", "d05.data2_TGCTTCGCATTACTCT-1", "d05.data2_ATCTTCAAGATGGTAT-1", "d05.data2_AAACCCAAGGTGGCTA-1", "d05.data2_TGCGATATCATAGGCT-1", "d05.data2_ACTATCTTCTCCCAAC-1", "d05.data2_AAGTACCAGGTTACCT-1", "d05.data2_AGGACTTGTACCTAGT-1", "d05.data2_GTTACGAGTATCCTCC-1", "d05.data2_GATAGCTCAGTCAGTT-1", "d05.data2_GTAGCTAGTGGACCAA-1", "d05.data2_ATGTCTTCAGCATACT-1", "d05.data2_TCATTACTCATATGGC-1", "d05.data2_GGGCCATGTGAGACCA-1", "d05.data2_ACAAGCTGTACTCCGG-1", "d05.data2_AGAAATGAGTATAGAC-1", "d05.data2_CACATGAAGTTATGGA-1", "d05.data2_TCATTACAGGTTAGTA-1", "d05.data2_AGGGTTTAGGCCTTCG-1", "d05.data2_GCCAGGTGTAACGCGA-1", "d05.data2_TAATTCCTCTACAGGT-1", "d05.data2_TCCATGCAGCTAATGA-1", "d05.data2_CTGCCATCAGCTTCGG-1", "d05.data2_GCGGAAAGTGTTAAAG-1", "d05.data2_TCGTAGAAGTGGTTGG-1", "d05.data2_GTAATGCCAGGTTTAC-1", "d05.data2_GGAACCCTCCCTAGGG-1", "d05.data2_TGGAACTGTCTGTGGC-1", "d05.data2_TAGGTTGGTGCTGTCG-1", "d05.data2_TGTTACTCACAAATAG-1", "d05.data2_CCTAACCCAGTTAGGG-1", "d05.data2_ATGAGGGCATGGTACT-1", "d05.data2_GACCAATTCGCTACAA-1", "d05.data2_ATTGGGTGTGCCCAGT-1", "d05.data2_GTTCATTAGGTCACCC-1", "d05.data2_GGGAGATTCCGCAAAT-1", "d05.data2_TCACAAGCACGCTGAC-1", "d05.data2_CATCCGTAGTGAGGTC-1", "d05.data2_CATCGGGTCTAAGCGT-1", "d05.data2_GCTGCAGAGTGTTGTC-1", "d05.data2_AGCCAGCCATGGGATG-1", "d05.data2_GAGAAATGTTAGGGAC-1", "d05.data2_TCATGTTTCGGTCGGT-1", "d05.data2_TTGCATTGTGGTACAG-1", "d05.data2_TGGGATTCATGGGCAA-1", "d05.data2_GTGCTTCCACCTCTAC-1", "d05.data2_GGGCTCAAGATGCCGA-1", "d05.data2_TGTCCACTCTAATTCC-1", "d05.data2_TTTATGCCAAGGTTGG-1", "d05.data2_TCATTTGCACATCATG-1", "d05.data2_GTGCACGTCGAGCTGC-1", "d05.data2_TGAGGTTCAGACGATG-1", "d05.data2_ACCCAAAAGACCGTTT-1", "d05.data2_TTATTGCTCTAGCATG-1", "d05.data2_AAGACAAGTTGGACCC-1", "d05.data2_TCATTTGCACGTGAGA-1", "d05.data2_CTCTCGACAAAGCACG-1", "d05.data2_ACACGCGGTGCGTGCT-1", "d05.data2_GCTGAATGTCGGCCTA-1", "d05.data2_ACAACCATCTGACCCT-1", "d05.data2_CCAATTTAGGCTTAAA-1", "d05.data2_GAACACTCAACCAACT-1", "d05.data2_TCTATACAGTTGGGAC-1", "d05.data2_GAGGCCTCACTGTGAT-1", "d05.data2_GCACATAGTACATACC-1", "d05.data2_ACTGTGACAACAGAGC-1", "d05.data2_GGTGAAGGTTGACTAC-1", "d05.data2_CTGCTCAGTGTATTGC-1", "d05.data2_AGGACGAGTACGATCT-1", "d05.data2_CCAATGACATGATCTG-1", "d05.data2_CAGCCAGGTCGCAGTC-1", "d05.data2_AACTTCTTCCCTATTA-1", "d05.data2_AGGTTGTCACTTGTCC-1", "d05.data2_CAGTTCCCAAATGCTC-1", "d05.data2_ATGGATCGTACCTAGT-1", "d05.data2_TGTCCTGGTGCAACGA-1", "d05.data2_CCAATGAGTGCATTAC-1", "d05.data2_GAATCACTCACCATGA-1", "d05.data2_AAGACTCAGAGAGCAA-1", "d05.data2_AGGTCTACAACGCATT-1", "d05.data2_GTCATGACAAGCAGGT-1", "d05.data2_AGTTCGACAGGACTAG-1", "d05.data2_GTTTACTGTATACAGA-1", "d05.data2_CGTAATGAGTTAGAAC-1", "d05.data2_GCTCAAACATAATCCG-1", "d05.data2_ACTGTGAGTATCCTTT-1", "d05.data2_TACCGGGCAGGTCAGA-1", "d05.data2_ATCATTCGTTGGAGAC-1", "d05.data2_AGATCCACATTCTCTA-1", "d05.data2_CTACATTTCGAACACT-1", "d05.data2_AACCTTTCATGTGTCA-1", "d05.data2_AAGTTCGGTCAGACTT-1", "d05.data2_ATCCCTGGTTTAGTCG-1", "d05.data2_TCTACATAGGGAGTTC-1", "d05.data2_TTAGTCTGTACCTAAC-1", "d05.data2_TACGTCCTCAGGTGTT-1", "d05.data2_CGCATAAAGCGTCAGA-1", "d05.data2_ATACCTTAGCAGGTCA-1", "d05.data2_ACTTCCGGTGAGACCA-1", "d05.data2_CAATGACAGAAGCCAC-1", "d05.data2_CATACTTCAATCTAGC-1", "d05.data2_CCCAACTAGGCCCAAA-1", "d05.data2_CCTAACCGTGTTAACC-1", "d05.data2_GCCCAGATCATTGCCC-1", "d05.data2_GCAACCGGTTCCAGGC-1", "d05.data2_TTGAGTGCACTAAACC-1", "d05.data2_AGAGAGCAGTCGCTAT-1", "d05.data2_CTACCTGCACCCTTGT-1", "d05.data2_TAACGACTCGAACCTA-1", "d05.data2_CTATCCGTCACGATCA-1", "d05.data2_ACGTCCTCATGCTGCG-1", "d05.data2_CAGTTCCGTAACCCGC-1", "d05.data2_TGATGGTCATGGATCT-1", "d05.data2_AACAAGAGTCACTAGT-1", "d05.data2_AACAAGAGTAGAGACC-1", "d05.data2_CCTTGTGTCGATGCAT-1", "d05.data2_CAAAGAATCGCTACGG-1", "d05.data2_TTCATGTGTTTAAGGA-1", "d05.data2_TCGCAGGCACTATCGA-1", "d05.data2_ATCCCTGTCTAGATCG-1", "d05.data2_CCTCCTCTCGCTTTAT-1", "d05.data2_AGGAAATAGGAATTAC-1", "d05.data2_AGCTACAGTTGCATAC-1", "d05.data2_ATACTTCCACATCATG-1", "d05.data2_TAATCTCCACTTGAAC-1", "d05.data2_TAATTCCGTTCAATCG-1", "d05.data2_ACCTGAAAGTAGTCTC-1", "d05.data2_TTGACCCCATAGCACT-1", "d05.data2_CCACAAAAGTCGTCTA-1", "d05.data2_AGCCAGCCACCACTGG-1", "d05.data2_TGTGATGGTACTGCGC-1", "d05.data2_CATCGCTGTCCGAAAG-1", "d05.data2_ACCTGTCTCTGTGCTC-1", "d05.data2_CGAGTTAAGCGTCTGC-1", "d05.data2_CAGTTAGTCACCTCGT-1", "d05.data2_CTAGACAAGCGGGTAT-1", "d05.data2_GTCTACCTCTCATTTG-1", "d05.data2_TGAACGTTCATGGAGG-1", "d05.data2_TTTACGTCAGCTCCTT-1", "d05.data2_AACAAAGCAAATACAG-1", "d05.data2_AAGACAAAGCGACAGT-1", "d05.data2_CTTACCGTCCTTCTTC-1", "d05.data2_TCGGGACTCCCTCGTA-1", "d05.data2_CTCAGAAGTCTTCTAT-1", "d05.data2_ATCGGCGCAGGAATCG-1", "d05.data2_TTGACCCGTCTACAGT-1", "d05.data2_ATAGAGACAATGAACA-1", "d05.data2_TCAGCCTAGGGAGATA-1", "d05.data2_AGTCATGAGAGGACTC-1", "d05.data2_TACGCTCAGCGGCTCT-1", "d05.data2_AGGTCATGTTAATCGC-1", "d05.data2_AACAAGACAGCAATTC-1", "d05.data2_CAAGAGGAGAGGATGA-1", "d05.data2_GGAGATGCAAGTGGCA-1", "d05.data2_TCGTCCAGTATGGAAT-1", "d05.data2_GGGACCTGTGTCCACG-1", "d05.data2_TGCTTCGTCATCTATC-1", "d05.data2_CTGCTCATCATACAGC-1", "d05.data2_AGTAACCAGTGGATAT-1", "d05.data2_GAGCCTGTCAAAGGTA-1", "d05.data2_TGAGCGCAGCTTGTTG-1", "d05.data2_GGGAAGTAGGATTCCT-1", "d05.data2_CCACAAACACTGAATC-1", "d05.data2_GATGCTATCGCTCCTA-1", "d05.data2_ACCCTCAAGCCTCAAT-1", "d05.data2_TCGAAGTTCGACGCTG-1", "d05.data2_TTCCGTGCAGAGGAAA-1", "d05.data2_TACCTGCCAGACTCTA-1", "d05.data2_TGTTGAGCAATTAGGA-1", "d05.data2_TGTGCGGCACACTTAG-1", "d05.data2_CTGAGGCGTCGGAAAC-1", "d05.data2_TCCTTCTGTCTACATG-1", "d05.data2_AGCTACATCTCATTTG-1", "d05.data2_CATTCTACACGGGCTT-1", "d05.data2_CTCCTCCCAGTCTGGC-1", "d05.data2_TCATGTTAGCAGATAT-1", "d05.data2_AAAGTCCAGCTATCTG-1", "d05.data2_GTTGTGACACTCCGGA-1", "d05.data2_AGCGTATTCGAATGCT-1", "d05.data2_CAATCGACATCTTCGC-1", "d05.data2_ATCACAGAGGTACCTT-1", "d05.data2_GATAGAACAACTTGCA-1", "d05.data2_GATTCGACAGAGGAAA-1", "d05.data2_TTTCCTCAGTGATAAC-1", "d05.data2_ATCCATTTCTCACCCA-1", "d05.data2_AGTCATGGTTCGAGCC-1", "d05.data2_GCACATAAGCGACTAG-1", "d05.data2_TCTTTGAGTCGGAACA-1", "d05.data2_TGCATGAAGCATAGGC-1", "d05.data2_AGCCACGCATCATCCC-1", "d05.data2_CCACGTTTCTCCTGAC-1", "d05.data2_TTCTTGAAGCTGCCAC-1", "d05.data2_CTCCACAGTCTTTATC-1", "d05.data2_GTAGATCCATGTAACC-1", "d05.data2_AATTTCCTCCTACAAG-1", "d05.data2_GGGAGTACAAACTGCT-1", "d05.data2_GCAGCCATCGATCCAA-1", "d05.data2_GGGTTTATCTACACTT-1", "d05.data2_GCCCGAACATCCTTCG-1", "d05.data2_TGACTCCTCGATACAC-1", "d05.data2_CACATGACACCCTGTT-1", "d05.data2_GGTTAACTCATTTACC-1", "d05.data2_ACTATGGCATGTAACC-1", "d05.data2_CGCAGGTTCGGAGATG-1", "d05.data2_AGCTCAATCCTGGGAC-1", "d05.data2_GGGATCCAGAGTCGAC-1", "d05.data2_TCCGTGTCATACATCG-1", "d05.data2_TACCCGTTCCAGTGTA-1", "d05.data2_CGCCAGAAGCTCACTA-1", "d05.data2_CATTTCATCGAGAAAT-1", "d05.data2_AATAGAGGTGTTGACT-1", "d05.data2_AAAGGTACAAAGAACT-1", "d05.data2_ATCTTCAGTATTTCTC-1", "d05.data2_TTGAGTGCAGCGCTTG-1", "d05.data2_GACGTTAGTTAGAAAC-1", "d05.data2_TGGGCTGGTAGCTGTT-1", "d05.data2_TGAGACTGTAGTAAGT-1", "d05.data2_TCATGTTAGGACAACC-1", "d05.data2_CTAAGTGGTATTGAGA-1", "d05.data2_GCACTAATCCAGTGCG-1", "d05.data2_AGTTCCCCAAGTATCC-1", "d05.data2_AGGCATTTCCCAACTC-1", "d05.data2_AAGCGTTTCATGACAC-1", "d05.data2_TCCAGAAGTCTGATAC-1", "d05.data2_CTGTATTTCATCGTAG-1", "d05.data2_CTGGCAGTCCACAGCG-1", "d05.data2_ATGGATCGTAGCTCGC-1", "d05.data2_TGAGCGCGTATGCTTG-1", "d05.data2_AACCAACCAAGGCTTT-1", "d05.data2_GTTCTATTCGACGATT-1", "d05.data2_CTAACCCGTGTGCCTG-1", "d05.data2_ACTCCCATCACCTGGG-1", "d05.data2_CCACGAGTCCTCGATC-1", "d05.data2_ATTTACCGTCACTACA-1", "d05.data2_AATGCCACAAGCAATA-1", "d05.data2_ATGCATGTCATGGAGG-1", "d05.data2_TTCTAACCAAGACGAC-1", "d05.data2_TCATCATGTTTACCTT-1", "d05.data2_AGTTCGATCTAGCAAC-1", "d05.data2_CGCATGGTCCTTATCA-1", "d05.data2_CTATAGGGTGTCCCTT-1", "d05.data2_ACTTCCGGTCAAAGAT-1", "d05.data2_CTATAGGTCTCTGACC-1", "d05.data2_CCACTTGCACTTTAGG-1", "d05.data2_GGGAGTAGTTATGTGC-1", "d05.data2_TCATACTCATTGACCA-1", "d05.data2_GATGATCGTAGCGAGT-1", "d05.data2_ATCCTATCAAATCGTC-1", "d05.data2_TTTCATGCACCTGAAT-1", "d05.data2_TGAGGGATCCATCTGC-1", "d05.data2_TATGTTCTCGGTGTAT-1", "d05.data2_GCCATGGTCTACACAG-1", "d05.data2_AAGATAGGTGCTTCAA-1", "d05.data2_GTCAGCGTCTACACAG-1", "d05.data2_CCTTCAGGTCCCAAAT-1", "d05.data2_TCTCAGCAGTCAGCGA-1", "d05.data2_GAATCGTCACACCGCA-1", "d05.data2_TCCACCAAGACGACGT-1", "d05.data2_TGACGCGAGCCGGAAT-1", "d05.data2_GATCCCTCAGCATGCC-1", "d05.data2_TACCTGCAGACGGTCA-1", "d05.data2_GCAGCTGCATGTGACT-1", "d05.data2_GCAACATAGCTGAGCA-1", "d05.data2_CATGCAAAGGGCAACT-1", "d05.data2_TTCAATCGTAGCTTTG-1", "d05.data2_GCTTGGGAGTATGGCG-1", "d05.data2_GTCAAGTAGGCTTCCG-1", "d05.data2_TACGGTAGTTCAGCGC-1", "d05.data2_TCGCAGGCACAGCGCT-1", "d05.data2_GTTGTGAGTCTCTCCA-1", "d05.data2_ACCATTTAGCTGGAGT-1", "d05.data2_GTGAGTTTCAACCTTT-1", "d05.data2_CGAGTTAAGCCAGAGT-1", "d05.data2_AACAACCAGTAGACAT-1", "d05.data2_GTGAGGATCTCTTAAC-1", "d05.data2_GGTGATTTCGACCACG-1", "d05.data2_AAGATAGTCTTCTGTA-1", "d05.data2_AGCGATTGTACGCTTA-1", "d05.data2_GCCGATGCATATACCG-1", "d05.data2_CCGAACGGTCAAACGG-1", "d05.data2_TGCGGGTGTTCGGCCA-1", "d05.data2_CTAACCCAGACATGCG-1", "d05.data2_GAGACTTTCCGGACGT-1", "d05.data2_AGGGTTTAGCGTTAGG-1", "d05.data2_TCGACGGAGTCTCTGA-1", "d05.data2_ATCCCTGCAACAAAGT-1", "d05.data2_CTACCTGCAGTTGTTG-1", "d05.data2_CGGAATTGTGTCGATT-1", "d05.data2_GCAGGCTCAATGTGGG-1", "d05.data2_GCATCTCTCTCTGGTC-1", "d05.data2_TCGTGGGGTTTGTTGG-1", "d05.data2_CCACAAATCCTCTAGC-1", "d05.data2_TTCTGTAGTTCCCAAA-1", "d05.data2_AGGGTCCGTCGTATTG-1", "d05.data2_GCCATTCCATAACGGG-1", "d05.data2_CTACATTGTCAGTTTG-1", "d05.data2_GGTAATCTCTAGCATG-1", "d05.data2_CGCATAATCATACAGC-1", "d05.data2_CTCCTCCTCGCATAGT-1", "d05.data2_AAGACAAGTCGACGCT-1", "d05.data2_TCCATGCCAGGAACCA-1", "d05.data2_TGATGGTTCACCGACG-1", "d05.data2_GGTGTCGTCCTCACTG-1", "d05.data2_TCTATACAGCATGATA-1", "d05.data2_CTATCTAAGGTTGCCC-1", "d05.data2_TTGGATGCAGTTGCGC-1", "d05.data2_GTAGTACAGGGCTAAC-1", "d05.data2_GAACTGTAGCTAGAGC-1", "d05.data2_GCCAGGTTCGCATGAT-1", "d05.data2_TTTCACAGTCACAATC-1", "d05.data2_TCTGGCTAGTTGGAAT-1", "d05.data2_AACCTGAGTAACATAG-1", "d05.data2_CAAGCTAAGGAAGTAG-1", "d05.data2_GGTTAACGTGTGAGCA-1", "d05.data2_TTCCTAATCTTCACAT-1", "d05.data2_TGCGATACACACCTAA-1", "d05.data2_TTCTTCCTCCTCACCA-1", "d05.data2_CATGCAACATCAACCA-1", "d05.data2_ATGCATGCACTGTTCC-1", "d05.data2_CTACTATTCGAACCAT-1", "d05.data2_TTCTAGTCACACACGC-1", "d05.data2_TAATTCCCAGAGGTTG-1", "d05.data2_ACTTATCTCGGTCGAC-1", "d05.data2_AAAGAACCACCTAAAC-1", "d05.data2_TACGGTATCAATGTCG-1", "d05.data2_GAATCACCAAGGCTTT-1", "d05.data2_TACCTGCCAGTATTCG-1", "d05.data2_TACTGCCTCACGGGCT-1", "d05.data2_TCCAGAACACCCTTGT-1", "d05.data2_TCATTTGTCGTTAGAC-1", "d05.data2_CCGTAGGGTCTTGAAC-1", "d05.data2_AGTAACCTCAGGAAAT-1", "d05.data2_TTGATGGTCGAACGCC-1", "d05.data2_TCGCTCATCCTCGATC-1", "d05.data2_GGTGGCTAGTAACGAT-1", "d05.data2_GACCCTTAGTCTCCTC-1", "d05.data2_CAACAACCAATGTTGC-1", "d05.data2_CTGCCATCAGCTTTCC-1", "d05.data2_GATGGAGTCCTTGACC-1", "d05.data2_ATCACAGGTAAGCAAT-1", "d05.data2_ACCAACATCGTGCGAC-1", "d05.data2_CAATCGATCAAAGGTA-1", "d05.data2_TTAATCCAGACCAACG-1", "d05.data2_TGAGGGACAGTTAGGG-1", "d05.data2_GAGGGATTCGTAGCCG-1", "d05.data2_GTAAGTCAGACTCTTG-1", "d05.data2_ATGGTTGTCGAGTCTA-1", "d05.data2_GTGACGCCACGGCCAT-1", "d05.data2_TTATTGCGTTAAGACA-1", "d05.data2_GAACTGTAGAGCCGAT-1", "d05.data2_GTCTCACAGGTTCCAT-1", "d05.data2_ACTCTCGGTCCATAGT-1", "d05.data2_ATACTTCGTGGTGATG-1", "d05.data2_CGTCAAAGTTCCTAGA-1", "d05.data2_TGGTACATCAAGTGTC-1", "d05.data2_TCGAACATCGCTGCGA-1", "d05.data2_CTGCAGGGTCTCGGGT-1", "d05.data2_CATTGCCAGGGTAATT-1", "d05.data2_TCTAACTAGGTCTACT-1", "d05.data2_ACTGTGAGTAATACCC-1", "d05.data2_CAGAGCCGTTCATCGA-1", "d05.data2_CCAATTTCAGCAGTAG-1", "d05.data2_TTCTGTATCCGGTAAT-1", "d05.data2_ACACAGTTCGCTACGG-1", "d05.data2_GGGACAAAGAAGCGCT-1", "d05.data2_GACATCATCCACGTCT-1", "d05.data2_CGAGTGCCATGGCTGC-1", "d05.data2_TCTCACGGTCATCCGG-1", "d05.data2_TTATTGCCAGCTTTGA-1", "d05.data2_ACTTATCTCCGTATAG-1", "d05.data2_ATTTCACTCATGAGGG-1", "d05.data2_AGCATCATCCTGCTAC-1", "d05.data2_TGTTCTAGTTATCCAG-1", "d05.data2_ATGCCTCTCTCCACTG-1", "d05.data2_TCTGTCGCAGCGTGAA-1", "d05.data2_GTCAGCGTCCAAGAGG-1", "d05.data2_CGGAACCGTGCTTCAA-1", "d05.data2_AGACTCACACTGAGGA-1", "d05.data2_TATTTCGTCGCATGAT-1", "d05.data2_AAAGGTACACTGTTCC-1", "d05.data2_AGCCAATTCGTCAGAT-1", "d05.data2_TCCCACAAGTTCGGTT-1", "d05.data2_TACACCCCATACTGTG-1", "d05.data2_TGACTCCGTTACAGCT-1", "d05.data2_CATCGTCAGGTTACCT-1", "d05.data2_TATCAGGCAACAAAGT-1", "d05.data2_CCACAAATCTTGTGCC-1", "d05.data2_TCCATCGTCCGCAAAT-1", "d05.data2_TAGTGCAGTCTACGTA-1", "d05.data2_TGATGCAGTATCACCA-1", "d05.data2_AGTGTTGCACTAGAGG-1", "d05.data2_CATCGTCTCCACGGAC-1", "d05.data2_AGAGCCCAGGGTTAGC-1", "d05.data2_TCCTCTTAGACATCCT-1", "d05.data2_TAAGCCAAGTCAGCCC-1", "d05.data2_TATCTTGTCGCTTGCT-1", "d05.data2_CAGCAATTCTAGCAAC-1", "d05.data2_GCTTCACTCGACCTAA-1", "d05.data2_CTAACCCCAAGAAATC-1", "d05.data2_TTCCGTGCAATTGCGT-1", "d05.data2_ATCATTCGTGCCGGTT-1", "d05.data2_GCTCAAACACGATTCA-1", "d05.data2_AGTGTTGCATACGCAT-1", "d05.data2_CTCAGAATCTACCCAC-1", "d05.data2_TAACTTCGTCATGGCC-1", "d05.data2_AGCTCAAAGTCTGGTT-1", "d05.data2_TAGAGTCTCCGGGACT-1", "d05.data2_TCGCTTGCACCCTCTA-1", "d05.data2_GGCACGTAGCTGGTGA-1", "d05.data2_TCTAACTGTTTACCAG-1", "d05.data2_ATGAGGGCAATCGCAT-1", "d05.data2_TGAGGAGCAGCTGCCA-1", "d05.data2_AACAGGGTCGCCGATG-1", "d05.data2_GTTACAGGTTAGTTCG-1", "d05.data2_CGCCATTGTCATGCAT-1", "d05.data2_CGGGCATCACAGCCTG-1", "d05.data2_AACTTCTTCAGCTTGA-1", "d05.data2_CATCCACTCCGCAAAT-1", "d05.data2_AGGGCTCTCTTGAGCA-1", "d05.data2_AACACACGTGTTCCTC-1", "d05.data2_CGTGCTTAGCGTGTTT-1", "d05.data2_CTTTCGGAGAATCGTA-1", "d05.data2_AATCGACTCAGACCGC-1", "d05.data2_CACGTGGGTTGCATTG-1", "d05.data2_CGTCAAAGTACGGATG-1", "d05.data2_ATCGATGCAACACACT-1", "d05.data2_GAGTTGTTCCACCTGT-1", "d05.data2_CATACAGCACTCGATA-1", "d05.data2_ACTTTCAAGGTGCAGT-1", "d05.data2_ATTCTTGTCAAGCCCG-1", "d05.data2_ACCTACCGTGTTCAGT-1", "d05.data2_AACCATGAGTTCCGTA-1", "d05.data2_ACCTGAAAGGTCTACT-1", "d05.data2_GTAACCAGTCCTATAG-1", "d05.data2_AGCGTATTCAGCTTCC-1", "d05.data2_TAAGCACCAGAACTCT-1", "d05.data2_ACGTCCTAGCACCGTC-1", "d05.data2_AAAGGGCAGTGCAAAT-1", "d05.data2_GCTCAAACAGACCAAG-1", "d05.data2_ACACGCGGTGATAGTA-1", "d05.data2_GACTTCCCAACCGTAT-1", "d05.data2_ACAGCCGGTCTCCTGT-1", "d05.data2_CAGCAGCAGCTGGCCT-1", "d05.data2_TCGAACACACCTGCTT-1", "d05.data2_GCTACAAGTAGCGTAG-1", "d05.data2_CTCACTGTCCGGTAGC-1", "d05.data2_ATCTTCATCCATGAGT-1", "d05.data2_CTATCTACACATGTTG-1", "d05.data2_CCTCAACGTGGCTTGC-1", "d05.data2_GAGTTTGAGTCCTGTA-1", "d05.data2_AGGCTGCCATGTAACC-1", "d05.data2_GTAGAAATCCGCGATG-1", "d05.data2_TCCCACAAGCACGTCC-1", "d05.data2_ACCCAAACAATGTCAC-1", "d05.data2_GATCATGCAGGAATAT-1", "d05.data2_AAGACAAAGGTTCATC-1", "d05.data2_GCCAACGTCTGAACGT-1", "d05.data2_GACCAATTCCTCATAT-1", "d05.data2_CCACACTTCCAGCACG-1", "d05.data2_TACAACGCACACCGAC-1", "d05.data2_ACCAAACGTTACTCAG-1", "d05.data2_ATAGGCTGTACAATAG-1", "d05.data2_CACTGAACAACTGAAA-1", "d05.data2_GGAGGTACACCTGAAT-1", "d05.data2_CGGGTCATCGAGCACC-1", "d05.data2_GACCTTCTCCAATCTT-1", "d05.data2_ATGGTTGGTACGAAAT-1", "d05.data2_TAGACTGGTATCATGC-1", "d1.data2_AGACACTCAAGAGAGA-1", "d1.data2_CACTAAGAGTAAGCAT-1", "d1.data2_TCGTGCTAGTACGAGC-1", "d1.data2_CGATGGCAGCTGCGAA-1", "d1.data2_TCTCTGGAGTTGTAGA-1", "d1.data2_TGTAACGAGCTTCGTA-1", "d1.data2_TCGTGCTAGAACAGGA-1", "d1.data2_TGAGCATTCGAGCCAC-1", "d1.data2_GTAGAAAGTTGGGTTT-1", "d1.data2_GTAGAAAAGCCTGACC-1", "d1.data2_TTCTGTACATGTAACC-1", "d1.data2_CTCAAGACATTGAAGA-1", "d1.data2_AGGAGGTGTATCGTGT-1", "d1.data2_CTTCCGAGTTGTGCAT-1", "d1.data2_TGCTCGTGTACTAACC-1", "d1.data2_GCTGCAGAGGTCGCCT-1", "d1.data2_GCCTGTTGTTGGTGTT-1", "d1.data2_TCCTGCACAGAAATCA-1", "d1.data2_GCATCGGAGCTGCGAA-1", "d1.data2_CTGAATGCAAGAGTGC-1", "d1.data2_GTGGGAATCCTGATAG-1", "d1.data2_GCTTCACAGGTAAACT-1", "d1.data2_AAGGAATTCTAGAACC-1", "d1.data2_ACATCGAAGTTTGTCG-1", "d1.data2_GACAGCCAGGCATCGA-1", "d1.data2_TAACGACCAGGTAGTG-1", "d1.data2_TTTATGCCACAACATC-1", "d1.data2_CGTGCTTCATAGATGA-1", "d1.data2_CAGTTAGGTGCATTAC-1", "d1.data2_TCCATGCCATTGGCAT-1", "d1.data2_TTCCACGAGCACTCGC-1", "d1.data2_ACAAAGATCCTCAGGG-1", "d1.data2_TAGGAGGCAATAACCC-1", "d1.data2_GATAGAACATTCGGGC-1", "d1.data2_ATCCCTGAGGTCCCTG-1", "d1.data2_GGTAACTGTCTGTGTA-1", "d1.data2_TCGGGTGGTGTGCCTG-1", "d1.data2_TTCTTCCAGGAGTATT-1", "d1.data2_GTATTGGAGTGCGACA-1", "d1.data2_AGGGTGAGTGATACAA-1", "d1.data2_CTCCATGCATCTGGGC-1", "d1.data2_TCCGAAAGTGCGGTAA-1", "d1.data2_AAAGTGAGTGTGTACT-1", "d1.data2_CTCAATTAGTCAGGGT-1", "d1.data2_TCGAAGTGTGGGATTG-1", "d1.data2_GAGGCAATCAAATGAG-1", "d1.data2_AACGAAAGTTTGGAGG-1", "d1.data2_CAAAGAATCGTAATGC-1", "d1.data2_CCTGTTGCACAGCCTG-1", "d1.data2_AGGCTGCCATGGCTAT-1", "d1.data2_GTAGAGGGTCTTTCTA-1", "d1.data2_CCCGGAAGTACCACGC-1", "d1.data2_AAGAACAGTATAGGAT-1", "d1.data2_TGCATCCGTCTGCGCA-1", "d1.data2_TGGAGGAAGTAACGAT-1", "d1.data2_GACGTTAAGTTGGGAC-1", "d1.data2_CTGTGGGTCTACCACC-1", "d1.data2_TTCAATCGTGAATAAC-1", "d1.data2_TCGCAGGAGATAGCTA-1", "d1.data2_TGACCCTCACACTGGC-1", "d1.data2_GTTGCTCCAAATACAG-1", "d1.data2_ACTTTCAAGCTGAAAT-1", "d1.data2_ACATTTCGTGGCTGAA-1", "d1.data2_CAACGATGTAGGTACG-1", "d1.data2_CCTCAGTGTGTTCCAA-1", "d1.data2_TCGATTTTCAACGCTA-1", "d1.data2_GTGTAACCACAGTATC-1", "d1.data2_GTAGCTAGTAGCCAGA-1", "d1.data2_AGGGTGAAGGCTAGCA-1", "d1.data2_AGAGCCCAGGAAGTCC-1", "d1.data2_CAATCGAAGTACCGGA-1", "d1.data2_ACGATGTCAGCCATTA-1", "d1.data2_TATGTTCTCTGGTGGC-1", "d1.data2_AGTAACCGTCGGCACT-1", "d1.data2_AGGAATAAGTCTCGTA-1", "d1.data2_TGGTGATGTGTGCTTA-1", "d1.data2_GAAGCGAGTATGAGAT-1", "d1.data2_CGAGGCTTCAAACGTC-1", "d1.data2_AAAGGGCGTGAGTCAG-1", "d1.data2_TGTTACTCATTGCCGG-1", "d1.data2_AGGTAGGGTAGCTGCC-1", "d1.data2_AGTGCCGGTTCGATTG-1", "d1.data2_GGGTGAATCACTTCTA-1", "d1.data2_CGCATGGAGTCAACAA-1", "d1.data2_AGTTCGACAGAAGCTG-1", "d1.data2_AAGACTCCACGACGCT-1", "d1.data2_GAATCACTCCAAGAGG-1", "d1.data2_AGGGTGAGTCTTCGAA-1", "d1.data2_TCTGTCGAGTCATGGG-1", "d1.data2_CGAGGAAGTCACCGAC-1", "d1.data2_TGAGGAGGTCACCACG-1", "d1.data2_CCTCAACCAATAGGAT-1", "d1.data2_CCCAACTGTATCGTTG-1", "d1.data2_GGAACCCGTGTTGATC-1", "d1.data2_ACTGTGAGTGAGATAT-1", "d1.data2_AGTAACCAGACGACTG-1", "d1.data2_TACCTCGTCTTGCAGA-1", "d1.data2_TCCATCGGTCTTGAAC-1", "d1.data2_GGTAGAGGTAGAGTTA-1", "d1.data2_CTGATCCTCTGGGATT-1", "d1.data2_CACAGGCGTCTGTTAG-1", "d1.data2_CCGCAAGAGCTTTCTT-1", "d1.data2_GTATTGGGTCCACTCT-1", "d1.data2_CGTCAAAAGAGCAGTC-1", "d1.data2_GTGCACGAGGTTTACC-1", "d1.data2_GGTGAAGCACGCGGTT-1", "d1.data2_CTTGAGATCCTCAGGG-1", "d1.data2_CTGTGAACAAGTTCCA-1", "d1.data2_AAACCCACAAACTGCT-1", "d1.data2_TCGTGCTAGCTCCGAC-1", "d1.data2_TCATTACTCGGACCAC-1", "d1.data2_CATGCCTAGACTACCT-1", "d1.data2_CTGCTCATCGGTGCAC-1", "d1.data2_TGGAGGAAGATGACCG-1", "d1.data2_GCGTGCAAGCGATTCT-1", "d1.data2_CCATAAGCAAGTTGGG-1", "d1.data2_AGTCTCCAGAATAGTC-1", "d1.data2_AATGGAAGTACAGAAT-1", "d1.data2_ATACCGAGTGAGTAGC-1", "d1.data2_GCGATCGGTGCCCACA-1", "d1.data2_AGTTCGAGTAGTGATA-1", "d1.data2_CGAATTGAGCCTCTGG-1", "d1.data2_GCTGAATAGGAGATAG-1", "d1.data2_AAGGTAACAATCTCTT-1", "d1.data2_ATTTCTGCAGTCAGCC-1", "d1.data2_TGCTGAACACTTTAGG-1", "d1.data2_TCGTCCAAGGTGCCAA-1", "d1.data2_GAAATGATCTAACACG-1", "d1.data2_CCCAACTAGAGTGACC-1", "d1.data2_TTACGTTTCGACACCG-1", "d1.data2_TTGGGCGAGTGAGTGC-1", "d1.data2_TCATATCTCCCAAGTA-1", "d1.data2_AGTGATCAGCTCCCTT-1", "d1.data2_GTTCATTAGGCGAAGG-1", "d1.data2_TCTCCGAGTTCTAAGC-1", "d1.data2_GAATAGACATTCTCCG-1", "d1.data2_AGAGCAGCAATAACGA-1", "d1.data2_ACATGCACACATATCG-1", "d1.data2_CGAGTGCCAACTGCTA-1", "d1.data2_TTTACCAGTTAGGAGC-1", "d1.data2_GAAACCTCACAATGCT-1", "d1.data2_TCTGTCGCACTGCTTC-1", "d1.data2_TAGGTTGGTTCTTAGG-1", "d1.data2_TAACGACAGGAAAGAC-1", "d1.data2_CTTCCGAGTTCCGGTG-1", "d1.data2_CAGATACAGGAAAGTG-1", "d1.data2_CTACTATGTTCAGGTT-1", "d1.data2_GCAGCCAAGAATCGAT-1", "d1.data2_TCATTGTCACTGAGGA-1", "d1.data2_TGTGCGGTCTGAGCAT-1", "d1.data2_TCAGTCCCATGATGCT-1", "d1.data2_GCGGAAAAGTCATGGG-1", "d1.data2_GTGATGTCAGTTAGGG-1", "d1.data2_TTTACTGCAGTTCACA-1", "d1.data2_AGGGTGACACTAGAGG-1", "d1.data2_CAGATCACAGAGAATT-1", "d1.data2_TCGGATAGTGACCGTC-1", "d1.data2_GGGTCTGGTCCGAAAG-1", "d1.data2_CCCTTAGGTTCGCGTG-1", "d1.data2_ACATCGATCACTGGGC-1", "d1.data2_GCCAACGAGCCTATTG-1", "d1.data2_TCACGGGAGTAGTGCG-1", "d1.data2_ATCAGGTAGCCGCTTG-1", "d1.data2_TAAGCGTTCGTAGCTA-1", "d1.data2_TTTACGTTCGGTAACT-1", "d1.data2_TTCTGTAAGTCTTCGA-1", "d1.data2_CATTGTTGTTTCGATG-1", "d1.data2_GATAGAACAATCAGCT-1", "d1.data2_AGACACTAGGAGCTGT-1", "d1.data2_GATGACTTCTAAGGAA-1", "d1.data2_CGATGCGTCACCATGA-1", "d1.data2_TAGGTTGCAACCGGAA-1", "d1.data2_TCGGGACTCGATACGT-1", "d1.data2_TCATTGTAGTATTGCC-1", "d1.data2_CAAGCTATCGAGAAAT-1", "d1.data2_GACGCTGCACACGGTC-1", "d1.data2_TGCGGCAAGAGGTTAT-1", "d1.data2_CTTGAGAGTTGACTGT-1", "d1.data2_CCGATCTTCCGGCAGT-1", "d1.data2_TCGATTTGTACAGCGA-1", "d1.data2_TTTATGCCAGCTCGGT-1", "d1.data2_AATGGAAAGGAAAGGT-1", "d1.data2_TACGTCCAGGTCATAA-1", "d1.data2_TCCGTGTGTCGTCAGC-1", "d1.data2_GCAGCTGCATGTGACT-1", "d1.data2_CAGCAGCTCTGGACCG-1", "d1.data2_TGGATGTGTTGCGGCT-1", "d1.data2_AACGAAATCGTGGACC-1", "d1.data2_AAAGGTAAGGTTAGTA-1", "d1.data2_CTTGAGATCCAGCCTT-1", "d1.data2_GTGGTTATCTGCGGAC-1", "d1.data2_CGTTAGAGTAGCGTAG-1", "d1.data2_CACGGGTTCTCCTGAC-1", "d1.data2_TGTAGACAGGATGTTA-1", "d1.data2_TCTCACGTCTCACTCG-1", "d1.data2_AGAACCTGTGATGAAT-1", "d1.data2_GCATCGGTCCGCGATG-1", "d1.data2_AGACCCGAGAAGGCTC-1", "d1.data2_GAAATGACAGCACAAG-1", "d1.data2_CCAATTTCAGTGGGTA-1", "d1.data2_GTGCAGCAGGTGGTTG-1", "d1.data2_GGTCTGGTCGAGCCAC-1", "d1.data2_TGTCAGACAGGTTCGC-1", "d1.data2_ACAAAGAAGGCTCTAT-1", "d1.data2_AGGCATTCATCAGTCA-1", "d1.data2_GGGAAGTGTCAGACTT-1", "d1.data2_GATGTTGCAATCTCTT-1", "d1.data2_AAGCATCTCAAGCCTA-1", "d1.data2_CGGACACCATGTGCCG-1", "d1.data2_GTTACAGAGTTCGGTT-1", "d1.data2_CAACGGCTCTTGATTC-1", "d1.data2_TGGGATTAGTCATCCA-1", "d1.data2_GTCGTTCGTCACTTAG-1", "d1.data2_CATTGAGGTTATCTGG-1", "d1.data2_AGTGACTCATGGGAAC-1", "d1.data2_ACTTATCTCAAGGACG-1", "d1.data2_AGACAGGAGGCAGGGA-1", "d1.data2_TCATGAGCAATTGCAC-1", "d1.data2_AAGTACCGTTTGCAGT-1", "d1.data2_GGGATCCAGACATCAA-1", "d1.data2_TTTGTTGAGCACTGGA-1", "d1.data2_CTAGACATCGTCGACG-1", "d1.data2_GACGCTGTCCGTACGG-1", "d1.data2_CATACTTCAAGTTCGT-1", "d1.data2_ACCAAACAGTTTCGGT-1", "d1.data2_AGCCAGCCATGACACT-1", "d1.data2_TGAGGAGGTTCGTTCC-1", "d1.data2_TGGAGGAGTCCTGGGT-1", "d1.data2_CAGATTGTCTGTTCAT-1", "d1.data2_CCAAGCGTCATTGTGG-1", "d1.data2_TATTCCATCCCAATAG-1", "d1.data2_TACGGGCAGCGGATCA-1", "d1.data2_TGCCGAGGTGGAACAC-1", "d1.data2_TTGAGTGCACATTACG-1", "d1.data2_ACTACGAAGGATACCG-1", "d1.data2_GTTCATTGTATCGCTA-1", "d1.data2_TTGAGTGCAGACCATT-1", "d1.data2_AGGACTTGTCATACCA-1", "d1.data2_TAAGCGTGTTCACGAT-1", "d1.data2_TACTTGTGTCTACAGT-1", "d1.data2_GGTCACGTCTGTGCAA-1", "d1.data2_GCTCAAATCACCTTGC-1", "d1.data2_TTCTTCCTCGGTCTGG-1", "d1.data2_TCAATCTAGGAAGTCC-1", "d1.data2_CGTGAATGTCCACACG-1", "d1.data2_GAATAGATCCAACACA-1", "d1.data2_TCATCATAGGCATCTT-1", "d1.data2_CGTGCTTCAATGTCAC-1", "d1.data2_GTCTTTACACTTCCTG-1", "d1.data2_AGGTCTATCGAACCTA-1", "d1.data2_GACGTTAGTGGTTTAC-1", "d1.data2_AATCGTGGTTAAGTCC-1", "d1.data2_AGGTGTTGTTTACTTC-1", "d1.data2_ACTGCAACAGCCGTCA-1", "d1.data2_CCTAAGAGTATGGAAT-1", "d1.data2_CGCCATTCAGCGACAA-1", "d1.data2_GAATCGTCATACCAGT-1", "d1.data2_GTGAGGAAGCCACAAG-1", "d1.data2_GGTGGCTCATGGTACT-1", "d1.data2_AGTGTTGCAGCGCGTT-1", "d1.data2_TTTCGATTCATACAGC-1", "d1.data2_GTGTTAGCATTCTTCA-1", "d1.data2_TACAACGAGTAGGTTA-1", "d1.data2_GATTCTTTCGGTGCAC-1", "d1.data2_ATGCGATCAAATGGAT-1", "d1.data2_TATCTTGAGGAACTAT-1", "d1.data2_TCAAGACGTGCATACT-1", "d1.data2_CGTTAGATCGCCTTTG-1", "d1.data2_CCCAACTAGTAAGAGG-1", "d1.data2_CTGCGAGTCATGGGAG-1", "d1.data2_CTTAGGAAGGAGTACC-1", "d1.data2_ATTATCCTCGCAAGAG-1", "d1.data2_GAAATGAAGACCGCCT-1", "d1.data2_CACTTCGAGCGATTCT-1", "d1.data2_CCCATTGAGGCTTAGG-1", "d1.data2_TAACCAGTCCCTTCCC-1", "d1.data2_ATCATTCAGAACGTGC-1", "d1.data2_ACTTCCGCATCCAACA-1", "d1.data2_CTGTATTGTCAAATCC-1", "d1.data2_TCTACATAGATCCCAT-1", "d1.data2_ATTACCTAGATCGACG-1", "d1.data2_CGTCAAAAGTTCATGC-1", "d1.data2_AGGTCATTCGCGGTAC-1", "d1.data2_CCGTGAGGTCGAAGCA-1", "d1.data2_CTCAACCAGCTAGATA-1", "d1.data2_GGAGATGAGTCAGAGC-1", "d1.data2_GCCAGCAGTTACGGAG-1", "d1.data2_TGAATGCCACCTTCGT-1", "d1.data2_CAGCAATAGCAAGCCA-1", "d1.data2_ACCTACCGTACTCGCG-1", "d1.data2_AGGGTTTTCATCGGGC-1", "d1.data2_TTCTCTCGTTAAGGAT-1", "d1.data2_GTATTGGCAATTGTGC-1", "d1.data2_AGAACAATCGACTCCT-1", "d1.data2_AGGAATAGTGTCCATA-1", "d1.data2_TGTTCATTCCTCATAT-1", "d1.data2_TCTTGCGGTCCCGCAA-1", "d1.data2_TTTGACTTCCTGTAGA-1", "d1.data2_GTCATCCGTTTGCCGG-1", "d1.data2_ACTTCGCTCGGTGTTA-1", "d1.data2_TGTAACGTCATGACAC-1", "d1.data2_ATCCGTCCACGTCGTG-1", "d1.data2_CGGGTCAGTCGAGCTC-1", "d1.data2_GCCAGTGAGGACGGAG-1", "d1.data2_GATAGCTAGTCCTACA-1", "d1.data2_AGATAGACACCTTCCA-1", "d1.data2_TGCAGGCCATGTTTGG-1", "d1.data2_AGCATCATCGTCAGAT-1", "d1.data2_GCACTAATCTACGCGG-1", "d1.data2_AACCCAAAGGGCAAGG-1", "d1.data2_AGGGTGAAGTTAACAG-1", "d1.data2_CTCTGGTAGGATTTAG-1", "d1.data2_GTGGAAGCACCGTGAC-1", "d1.data2_GTCACGGAGTCAAGCG-1", "d1.data2_TAAGCGTAGTCATAGA-1", "d1.data2_TAGGGTTAGAGTGGCT-1", "d1.data2_TCCACGTTCAGCCTCT-1", "d1.data2_CTATCTACAGCTAACT-1", "d1.data2_GGTGATTCATGAGAAT-1", "d1.data2_GAGATGGCATGCCATA-1", "d1.data2_TTTCACATCCTCGCAT-1", "d1.data2_CCGATGGTCGGCTTGG-1", "d1.data2_ATTGGGTGTGGTTCTA-1", "d1.data2_TGGGAAGTCTATGTGG-1", "d1.data2_TCAAGCAAGGAGGTTC-1", "d1.data2_TGGAGAGAGATTAGAC-1", "d1.data2_TCATTGTGTCCTACAA-1", "d1.data2_CAACCTCTCTATACGG-1", "d1.data2_CATGCGGCAGCTATTG-1", "d1.data2_AATCACGGTGCGACAA-1", "d1.data2_CCGGTGAAGAATAGTC-1", "d1.data2_GGTGTCGTCGGTTCAA-1", "d1.data2_CACCGTTTCCGCCTAT-1", "d1.data2_CAAAGAAAGACTTCAC-1", "d1.data2_TTTCGATTCGGTAACT-1", "d1.data2_AGATAGAGTGCGAACA-1", "d1.data2_ATGAAAGTCTCCAAGA-1", "d1.data2_GGCTTTCCAGAAGCGT-1", "d1.data2_GAAGGGTAGCGCTGCT-1", "d1.data2_TCCCATGAGACATGCG-1", "d1.data2_CCCTGATAGTTTGAGA-1", "d1.data2_ATCGTAGGTCACCGCA-1", "d1.data2_AGGCTGCCAACGATTC-1", "d1.data2_ATTTCACAGTAAACGT-1", "d1.data2_TCCATCGGTCATCCCT-1", "d1.data2_TCTATCAAGTCATCGT-1", "d1.data2_GCCAGGTAGTCATTGC-1", "d1.data2_GACCCTTTCGCGCCAA-1", "d1.data2_ACCTACCAGGTCACAG-1", "d1.data2_CGAGGCTCAAATTGCC-1", "d1.data2_GTTGAACAGTATGACA-1", "d1.data2_TTCATTGTCGCTGTCT-1", "d1.data2_CTACTATAGTCTGCGC-1", "d1.data2_GTCCCATTCCGACATA-1", "d1.data2_GTTCGCTAGCAAATCA-1", "d1.data2_ACGTACAAGCGGACAT-1", "d1.data2_TAAGCCAAGTGTACAA-1", "d1.data2_TGAGGTTCATCTCGTC-1", "d1.data2_GTGGAGAGTCGGCTAC-1", "d1.data2_GATGAGGCACCGCTAG-1", "d1.data2_TCTATCAGTGTCATGT-1", "d1.data2_TGCGATACAACACGAG-1", "d1.data2_GTTCCGTAGACTTAAG-1", "d1.data2_GCACATAGTCATAACC-1", "d1.data2_GCTACAACACATATGC-1", "d1.data2_TAACGACCATCTTTCA-1", "d1.data2_ACCTGAACATCATCTT-1", "d1.data2_CTACCTGCACGTACAT-1", "d1.data2_ACTCTCGCAGTCTCTC-1", "d1.data2_CGAGAAGAGTAGTCAA-1", "d1.data2_CACATGATCTGTTCAT-1", "d1.data2_AGTGACTCATAGAATG-1", "d1.data2_AATGCCAAGAAGCCAC-1", "d1.data2_AGTACCACACTATCGA-1", "d1.data2_ACTATGGGTTGCCATA-1", "d1.data2_TGTGCGGGTGTTGACT-1", "d1.data2_TGACCCTAGGCAGGGA-1", "d1.data2_ATCGGATAGGTCTGGA-1", "d1.data2_AGTCAACAGATCCCGC-1", "d1.data2_CGCCATTCAGCAGTAG-1", "d1.data2_GATCAGTAGGTTCATC-1", "d1.data2_TTACTGTCAGGCAATG-1", "d1.data2_TCACGCTAGTAGACCG-1", "d1.data2_GAGCTGCGTTGCGTAT-1", "d1.data2_GGGACTCTCGTTTACT-1", "d1.data2_TGTTACTAGCTCTGTA-1", "d1.data2_GTCCACTGTCATCCCT-1", "d1.data2_CTGATCCGTTACCTGA-1", "d1.data2_AGGGTCCTCAGTCAGT-1", "d1.data2_CTCAATTGTGACAACG-1", "d1.data2_GTGGTTAGTCCAAAGG-1", "d1.data2_AGTCTCCGTCTTGCTC-1", "d1.data2_AGTAGTCCACTTGACA-1", "d1.data2_GTCAAACAGTATGAGT-1", "d1.data2_TAGGAGGGTCAACATC-1", "d1.data2_CTGCCATTCGCAATGT-1", "d1.data2_GTTTACTAGTCACTAC-1", "d1.data2_AGGCTGCAGGTGATCG-1", "d1.data2_TATTGCTTCACCTCTG-1", "d1.data2_TGACAGTGTGACACGA-1", "d1.data2_AGGATCTAGCCTTGAT-1", "d1.data2_CATAAGCGTCAGACTT-1", "d1.data2_TGGGATTAGTGCTAGG-1", "d1.data2_CCACACTCAGGACAGT-1", "d1.data2_GTGCTTCTCATCGTAG-1", "d1.data2_CCACTTGGTGTCTCCT-1", "d1.data2_ACTTATCCATACTTTC-1", "d1.data2_TCGACCTTCTCCAATT-1", "d1.data2_GCCCAGAGTAAGCGGT-1", "d1.data2_AATGACCAGGAGAGTA-1", "d1.data2_TGTTACTAGAGCTGAC-1", "d1.data2_ATCAGGTCAACGTATC-1", "d1.data2_CCTCACATCATCGACA-1", "d1.data2_ATCGGCGGTAACGCGA-1", "d1.data2_CACCGTTTCGTTCGCT-1", "d1.data2_TCCACGTTCCTTATAC-1", "d1.data2_TCGGATAGTTGCTTGA-1", "d1.data2_GAGTGAGGTTCCACGG-1", "d1.data2_GGGCCATGTTCCGCAG-1", "d1.data2_ATCAGGTTCCATAAGC-1", "d1.data2_CACGGGTCAGTCTGGC-1", "d1.data2_CAGTTCCAGATCACTC-1", "d1.data2_TGATGGTCAGTAGTGG-1", "d1.data2_CAACGATCACGGTGTC-1", "d1.data2_AGCGTATGTACGAAAT-1", "d1.data2_GACCCAGGTTTCCCAC-1", "d1.data2_CAACGATAGACAGCTG-1", "d1.data2_GTCTGTCAGGCACTAG-1", "d1.data2_GTTGTGATCTAGCCTC-1", "d1.data2_CAATTTCCAGCATCTA-1", "d1.data2_ACCACAAAGACCATTC-1", "d1.data2_CTCGAGGTCCCATTTA-1", "d1.data2_AGTAGTCCACCGGCTA-1", "d1.data2_ACCAAACAGCGTCTGC-1", "d1.data2_TGGGATTCACCCTAGG-1", "d1.data2_AGTCACAAGAGTCGAC-1", "d1.data2_ACCCAAAGTACCTAGT-1", "d1.data2_CATCGTCAGTCGGCCT-1", "d1.data2_GCACATAGTGGCTTGC-1", "d1.data2_AACGGGATCGCCACTT-1", "d1.data2_TGCATGAGTCATTCCC-1", "d1.data2_CATAAGCTCATGCATG-1", "d1.data2_AGGTTGTCAAATACGA-1", "d1.data2_CCTTCAGGTGCCTGAC-1", "d1.data2_TATGTTCCATGGGCAA-1", "d1.data2_CAATACGTCCCGGTAG-1", "d1.data2_GTCTTTAAGCGTGAGT-1", "d1.data2_TGTTGGATCGTGCACG-1", "d1.data2_CTGTACCCACTTCAAG-1", "d1.data2_CTCTCGATCTCCGCAT-1", "d1.data2_AGGATCTGTTACGATC-1", "d1.data2_CTACGGGCAAATCAGA-1", "d1.data2_TCAGCAATCGACACTA-1", "d1.data2_TCAAGACTCTGTAACG-1", "d1.data2_GCCGTGATCGGTCTAA-1", "d1.data2_CTACCTGTCCACGGAC-1", "d1.data2_ATAGACCCAGGACAGT-1", "d1.data2_CAGGGCTGTAAGAACT-1", "d1.data2_CCTCCAAAGCACGTCC-1", "d1.data2_GTCTAGAAGGTTAAAC-1", "d1.data2_ATTCCCGCAATTCTCT-1", "d1.data2_CTCATGCTCGAGCCTG-1", "d1.data2_TCATTCAAGCTCATAC-1", "d1.data2_CATAAGCCAGGAACCA-1", "d1.data2_TGGGCTGTCTAGAACC-1", "d1.data2_AAGTGAATCTCTGAGA-1", "d1.data2_AGCTCAATCGCAGATT-1", "d1.data2_TAGATCGCAATTGCAC-1", "d1.data2_GATGAGGCAGCGTGCT-1", "d1.data2_TCAATCTGTCTTCTAT-1", "d1.data2_TCAGTGACATTCAGCA-1", "d1.data2_TCCGGGATCCATACTT-1", "d1.data2_ACCCAAAGTGATCGTT-1", "d1.data2_CCACGTTTCATGAGAA-1", "d1.data2_ATCCATTTCCCAGGAC-1", "d1.data2_GCGGATCAGGGAGTTC-1", "d1.data2_GTAGGAGTCTCTGCCA-1", "d1.data2_ATATCCTAGCACCAGA-1", "d1.data2_TCTGGCTGTCTACAGT-1", "d1.data2_GTGATGTCAAACTAGA-1", "d1.data2_CATGCAACAACACTAC-1", "d1.data2_CTCAATTCAAGAATAC-1", "d1.data2_AGTACCATCAAGCCCG-1", "d1.data2_GGTGAAGGTCGAAACG-1", "d1.data2_GACAGCCGTTACCTGA-1", "d1.data2_CAGCAGCAGTGTTGAA-1", "d1.data2_TGTTGAGAGCTGACCC-1", "d1.data2_CGGAGAACACTTGAAC-1", "d1.data2_GGGCTACAGTGATTCC-1", "d1.data2_TGCGACGCACTGGCCA-1", "d1.data2_TCAGCCTTCTACTGAG-1", "d1.data2_CATGCCTTCTGTAAGC-1", "d1.data2_CAAGACTCAACGATTC-1", "d1.data2_GGGACAAGTATCTTCT-1", "d1.data2_TCTGGCTGTTCACGAT-1", "d1.data2_CGCATGGCAGCTAACT-1", "d1.data2_CCCTCAAGTGCCTTCT-1", "d1.data2_TTGCTGCCACTCTCGT-1", "d1.data2_ACCCAAACAACCAACT-1", "d1.data2_TACCCACTCACATCAG-1", "d1.data2_CCTGCATAGGCTTAAA-1", "d1.data2_AGTTAGCCATAGGAGC-1", "d1.data2_TGTTCCGAGGCGCTCT-1", "d1.data2_CCTTCAGTCCATATGG-1", "d1.data2_CACTAAGTCGTAGAGG-1", "d1.data2_ATGAGTCAGCGACTTT-1", "d1.data2_CCCTCAATCCAACTAG-1", "d1.data2_GGAGAACAGTAACGTA-1", "d1.data2_ATTCACTTCCTTCTGG-1", "d1.data2_GTACAACTCTCTTCAA-1", "d1.data2_CACTGAAAGTATGTAG-1", "d1.data2_ATCCTATGTGATTCTG-1", "d1.data2_GACTTCCTCGTGAGAG-1", "d1.data2_GCGTGCACACAGTGTT-1", "d1.data2_AGACTCATCTGCCTGT-1", "d1.data2_CATGCGGTCGGTTGTA-1", "d1.data2_CATAAGCAGTTTCGAC-1", "d1.data2_TATCGCCCAATGACCT-1", "d1.data2_CTAGACATCTCCAAGA-1", "d1.data2_GTCCACTTCGGTCGGT-1", "d1.data2_CATCCGTAGGTTAAAC-1", "d1.data2_AATGGCTAGCAAATCA-1", "d1.data2_ACTGTCCAGGTTTACC-1", "d1.data2_ACAAGCTCAAAGGCGT-1", "d1.data2_CATGAGTCAACCTATG-1", "d1.data2_TACCCACTCGTGCGAC-1", "d1.data2_GATCACATCACCGGGT-1", "d1.data2_CACAGGCAGCCAGTAG-1", "d1.data2_CATAAGCTCATCACTT-1", "d1.data2_TCGTAGATCCATTTCA-1", "d1.data2_CCTCCTCCACGAAAGC-1", "d1.data2_CTCCCAAGTAAGTCAA-1", "d1.data2_TCACACCCAGATACCT-1", "d1.data2_CAACAGTAGTGCACTT-1", "d1.data2_GCACGGTTCAGGCGAA-1", "d1.data2_TCTCACGTCCTACAAG-1", "d1.data2_CCTCAACCACTTTATC-1", "d1.data2_CCTGCATGTGCCTTCT-1", "d1.data2_AGCCACGTCCTACAAG-1", "d1.data2_AACCATGGTGGCAACA-1", "d1.data2_ATTCCCGTCCATGCAA-1", "d1.data2_GAACACTCACAACATC-1", "d1.data2_AAGACTCCACGATAGG-1", "d1.data2_TTCGCTGGTTGTTGCA-1", "d1.data2_CCTTCAGGTGCCCTTT-1", "d1.data2_AACTTCTGTACGTGTT-1", "d1.data2_CTTCTAATCTCTTGCG-1", "d1.data2_TCCGGGATCACGATCA-1", "d1.data2_GTAACACAGAGTCGAC-1", "d1.data2_AACCTTTGTCCGCAGT-1", "d1.data2_GTGGTTAAGAATCCCT-1", "d1.data2_GTTACCCCAAACTAAG-1", "d1.data2_TTTCCTCTCTCCCAAC-1", "d1.data2_CCTCACAGTGGCTACC-1", "d15.data_AGACCATGTAAGATAC-1", "d15.data_TCAATTCGTTAAGACA-1", "d15.data_GTGAGGATCGCCTAGG-1", "d15.data_CTCCAACTCATCCTAT-1", "d15.data_TTCACGCGTCCCGGTA-1", "d15.data_TCACACCGTGGCGCTT-1", "d15.data_GGTAGAGTCACCTCGT-1", "d15.data_CGAGTGCGTCCAGCGT-1", "d15.data_CGAAGTTGTTCGGCTG-1", "d15.data_AAGCGAGTCTGCGTCT-1", "d15.data_AATGGCTTCTGACGCG-1", "d15.data_ATCGGCGCAACTGTGT-1", "d15.data_TCGTGCTTCCATGATG-1", "d15.data_CCGTGAGTCGCGTAGC-1", "d15.data_ACACTGATCCTGGCTT-1", "d15.data_TCGTGCTCAACGTTAC-1", "d15.data_TTTGACTCAGTCGGTC-1", "d15.data_TTCATGTAGAGTTGCG-1", "d15.data_ATGGATCAGCTAGAAT-1", "d15.data_AAGTGAAAGTTGTCGT-1", "d15.data_GTGACGCAGAGCATCG-1", "d15.data_TCACGGGGTAGGGAGG-1", "d15.data_TCTAACTTCTCTATGT-1", "d15.data_AGAGCAGGTTCGAAGG-1", "d15.data_GTCAAGTAGATGGTCG-1", "d15.data_TGCTTCGAGGGAGTTC-1", "d15.data_AGCGCTGCAGAGGTTG-1", "d15.data_TCGTGGGCAGTCGCTG-1", "d15.data_AGAGCAGTCGCATAGT-1", "d15.data_AAATGGAAGCGTCAAG-1", "d15.data_TGCTTGCTCTGGGTCG-1", "d15.data_AGAGAATAGCCTCCAG-1", "d15.data_TAGGTACTCAGTGGGA-1", "d15.data_CCGATCTCAGAAGCGT-1", "d15.data_TACTTCAAGAGTCGAC-1", "d15.data_GAGTGAGAGGTAACTA-1", "d15.data_GTAGGAGTCAGTGTTG-1", "d15.data_CTGTCGTGTCGACTTA-1", "d15.data_TCCGTGTGTGGGCTCT-1", "d15.data_TGTGATGTCGTGAGAG-1", "d15.data_TAGGTTGAGATCCCAT-1", "d15.data_TCGACCTCAGGACATG-1", "d15.data_ACTGATGAGGTTGGTG-1", "d15.data_ATTCGTTGTAGACTGG-1", "d15.data_GTCGTTCAGGCCTAGA-1", "d15.data_AGTCACAAGTGTAGAT-1", "d15.data_TATGTTCGTCTCAAGT-1", "d15.data_CCGTAGGAGGCAGTCA-1", "d15.data_TCGGGTGAGTCATCCA-1", "d15.data_TCGTGCTTCCATTTAC-1", "d15.data_CATGCAAGTAGAGCTG-1", "d15.data_GATCATGGTTGAGAGC-1", "d15.data_CCTCTCCTCGGTCGAC-1", "d15.data_ATTATCCAGAGTTGCG-1", "d15.data_TGACGCGTCGTAGTCA-1", "d15.data_CGAAGTTAGAGGTATT-1", "d15.data_AATGACCGTCGCTTGG-1", "d15.data_TCACACCCATGACGGA-1", "d15.data_TCAGCAAGTGAGTAGC-1", "d15.data_GAGCTGCGTCGCGTTG-1", "d15.data_AGAAGCGTCGTTCATT-1", "d15.data_TGGGCTGAGCGTTACT-1", "d15.data_TTTGACTCACATCCCT-1", "d15.data_ACTCTCGGTGAGCTCC-1", "d15.data_TATCTTGGTCCGGTGT-1", "d15.data_TGTGGCGAGTAACAGT-1", "d15.data_GCGATCGTCGCATAGT-1", "d15.data_TGGCGTGGTCGGTACC-1", "d15.data_CTGTGGGTCTCCAAGA-1", "d15.data_GGGTTATCAAGTGGGT-1", "d15.data_CCCTGATTCTAGATCG-1", "d15.data_TACGGGCTCAGGGATG-1", "d15.data_TCAAGCAGTCGGAAAC-1", "d15.data_GGGAGATTCAACCTTT-1", "d15.data_AGTGTTGGTTCTGAGT-1", "d15.data_GAGTCATGTAGCTAAA-1", "d15.data_TTGAGTGGTCCTTAAG-1", "d15.data_GGATCTAGTGAATGTA-1", "d15.data_GACCTTCGTTCCGCAG-1", "d15.data_CGTGAATAGTTGGAAT-1", "d15.data_AGAACAAAGGTAGCAC-1", "d15.data_TATTTCGTCAGCTGAT-1", "d15.data_GATGTTGTCTGGGAGA-1", "d15.data_TCTCAGCAGAAAGCGA-1", "d15.data_ATCCGTCGTTTGATCG-1", "d15.data_GTCAAGTAGGCGAAGG-1", "d15.data_GAAGGGTGTCGTGTTA-1", "d15.data_AGGCTGCGTAGAGCTG-1", "d15.data_AGAGAATGTGATAGAT-1", "d15.data_TGTTCATGTCACGACC-1", "d15.data_GTAACACTCGTGGCGT-1", "d15.data_CTTCCTTAGTCTCCTC-1", "d15.data_TACCGGGAGCACAAAT-1", "d15.data_ATCGTGAAGTCATGGG-1", "d15.data_GTCATGATCCTCACGT-1", "d15.data_TGTTTGTAGACGGAAA-1", "d15.data_CTGGACGAGCTTCATG-1", "d15.data_TCCATGCGTCGAGATG-1", "d15.data_TTCAGGAGTGCACGCT-1", "d15.data_TCAGTGAAGGCAGTCA-1", "d15.data_GTCCTCACACGCCAGT-1", "d15.data_AGACTCAAGTTCATCG-1", "d15.data_GACACGCCACTCTAGA-1", "d15.data_TGGTGATAGTCGTCTA-1", "d15.data_GTAGTACAGTGCACAG-1", "d15.data_ATTGGGTAGGTTAGTA-1", "d15.data_AGCGATTAGTGTTCAC-1", "d15.data_AGCCAGCTCGTGTGGC-1", "d15.data_CGTGTCTGTAGGAAAG-1", "d15.data_GGTGTTAGTGTTAAAG-1", "d15.data_GTGCTTCCAGTCGAGA-1", "d15.data_CAGCCAGAGAGCGACT-1", "d15.data_CCATCACCAAGAGCTG-1", "d15.data_TCCACGTCATGGGAAC-1", "d15.data_TCATCCGAGAGCTGAC-1", "d15.data_GGGCGTTAGTGCAAAT-1", "d15.data_GGCGTCACAGGAACCA-1", "d15.data_ACGATGTAGCACACCC-1", "d15.data_TCGCTTGCAGCAGTGA-1", "d15.data_GACGCTGTCCTAGAGT-1", "d15.data_GACTGATAGTCAGCGA-1", "d15.data_CCATCACCATAGGAGC-1", "d15.data_GTCGTTCCATCATTTC-1", "d15.data_GCTTCACAGACGACGT-1", "d15.data_ATGAGTCAGTCTCTGA-1", "d15.data_CTAAGTGTCAGGAAAT-1", "d15.data_GGAGGTACACCAGTAT-1", "d15.data_GGCTTGGAGGCGTTAG-1", "d15.data_CATTCATCAGCGACCT-1", "d15.data_GCCAGTGTCGTTCGCT-1", "d15.data_TCTTTGAGTACAGGTG-1", "d15.data_GAGGCAAAGCCATTTG-1", "d15.data_CTACTATGTTGCGTAT-1", "d15.data_GTTACCCAGATACATG-1", "d15.data_TTTACTGAGCTTAAGA-1", "d15.data_GTCTCACGTAGGAAAG-1", "d15.data_CCTTCAGCAACGTATC-1", "d15.data_GCGTGCAGTCCTCCTA-1", "d15.data_AACGGGAGTGTATTCG-1", "d15.data_TCGACCTAGACGTCCC-1", "d15.data_GCTGCAGGTTGTCTAG-1", "d15.data_TCGGGCACACAATGTC-1", "d15.data_GATCCCTAGGCAGTCA-1", "d15.data_GTAGAAAAGTTAGTAG-1", "d15.data_AAGCGAGTCGTTCTAT-1", "d15.data_TGGGCGTCATCTTCGC-1", "d15.data_GTTCCGTGTTTATGCG-1", "d15.data_TAGGTTGGTTATGGTC-1", "d15.data_TTAGGCATCGCCTTGT-1", "d15.data_AGACTCAGTGAAAGTT-1", "d15.data_TTGTGGAGTACCAGAG-1", "d15.data_GACATCAAGCGCCGTT-1", "d15.data_GACGTTAGTCTCGGGT-1", "d15.data_GGAGAACAGGTGCCAA-1", "d15.data_ACTTCCGTCGAATCCA-1", "d15.data_TCATACTGTCTTCATT-1", "d15.data_TGTTGGACAGAGAAAG-1", "d15.data_ACGTAACGTATGGTAA-1", "d15.data_GAAGGACCAGCCCAGT-1", "d15.data_CGATCGGCATGACCCG-1", "d15.data_CCGTAGGAGGAACGAA-1", "d15.data_GATCACACAAGCAGGT-1", "d15.data_GATAGAATCGCCGAGT-1", "d15.data_ACAGAAATCTCCGTGT-1", "d15.data_ACTTATCGTGTCGATT-1", "d15.data_CTGATCCTCGAGAGAC-1", "d15.data_TAAGCGTTCGTCGGGT-1", "d15.data_GTGGCGTAGCCTTCTC-1", "d15.data_TATCGCCGTGTGCCTG-1", "d15.data_TATTCCATCGAACGCC-1", "d15.data_AGGGTCCAGGTCGTGA-1", "d15.data_GTCTCACCACAACGTT-1", "d15.data_TGAGCGCGTACCGGAA-1", "d15.data_AGAGCAGTCGGAATTC-1", "d15.data_CAATTTCTCATGGTAC-1", "d15.data_GAAGAATGTGACTCTA-1", "d15.data_TCATGGAGTGAACCGA-1", "d15.data_ATCATTCAGCTCGCAC-1", "d15.data_CGGAATTTCCTCAGGG-1", "d15.data_GAAGAATGTCTCACAA-1", "d15.data_GGTTAACCACTGCACG-1", "d15.data_TATCCTATCATTCTTG-1", "d15.data_ACTGTCCGTGATGAAT-1", "d15.data_TAAGCCAGTTTGATCG-1", "d15.data_CACGGGTAGCAGTACG-1", "d15.data_ATTCCTAGTTGTGGAG-1", "d15.data_GCACGGTCACACGGTC-1", "d15.data_AGCTTCCAGGTGATCG-1", "d15.data_GGGTCTGGTCTAGGCC-1", "d15.data_TTAGTCTTCTTACCAT-1", "d15.data_GTCAAGTCATCTTCGC-1", "d15.data_CTGAGGCAGAACAGGA-1", "d15.data_TTCATTGGTAGAGGAA-1", "d15.data_CTTCTCTGTCGAATTC-1", "d15.data_GCCAACGCACTAAACC-1", "d15.data_AGGATAACATTCGATG-1", "d15.data_TTCCTTCGTTTGATCG-1", "d15.data_TTTCGATAGAGAGTGA-1", "d15.data_GTTAGTGGTAACAAGT-1", "d15.data_ATGAGGGAGCTAGATA-1", "d15.data_ATGTCTTGTTTCGATG-1", "d15.data_GAATCGTTCGTAGAGG-1", "d15.data_TCTTCCTCACAAATCC-1", "d15.data_AGGGTTTGTTGTTGAC-1", "d15.data_GGGTGTCCATTGAGGG-1", "d15.data_ATAGGCTCATACAGGG-1", "d15.data_GAGCTGCTCGTAGTGT-1", "d15.data_GAGGGTATCTGGCTGG-1", "d15.data_CGCCAGATCGGAAACG-1", "d15.data_ACATCCCTCAAGGACG-1", "d15.data_AGAGCCCTCGTTAGAC-1", "d15.data_CAAGAGGTCAGACAAA-1", "d15.data_GACAGCCCAGGTGGAT-1", "d15.data_TGGATCACACAAGTGG-1", "d15.data_GGAGCAACAATTTCTC-1", "d15.data_AATCGTGAGATGGCGT-1", "d15.data_TACTTGTGTATCGTTG-1", "d15.data_CGATGGCTCGCTCCTA-1", "d15.data_TCTCTGGAGATTGCGG-1", "d15.data_CATACAGAGCCGTAAG-1", "d15.data_AGACTCAGTCGGTAAG-1", "d15.data_ACTATTCGTAGTCGTT-1", "d15.data_CATCGGGTCGATGCTA-1", "d15.data_TGGGCGTTCGTTCCTG-1", "d15.data_AAGTCGTGTCAGTCTA-1", "d15.data_TTTGGTTAGATCCCAT-1", "d15.data_GCACGTGGTCGGCTAC-1", "d15.data_TTGATGGTCGGAGCAA-1", "d15.data_CTGCAGGGTTGCCTAA-1", "d15.data_TATATCCAGGTGAGCT-1", "d15.data_TAGATCGCATTCAGGT-1", "d15.data_ATCACAGAGCAGGCAT-1", "d15.data_CTACATTCAGACACAG-1", "d15.data_CCTATCGGTACATTGC-1", "d15.data_GTCGTTCTCCATTGCC-1", "d15.data_GTCGTTCCATCGTGCG-1", "d15.data_AATCACGTCGTAGAGG-1", "d15.data_ATGGGTTAGGGATCAC-1", "d15.data_CTGTGGGGTATGGGAC-1", "d15.data_TTGGGATGTATAATGG-1", "d15.data_CTTTCAACAGTCGCTG-1", "d15.data_GGGATGAGTTAGAAGT-1", "d15.data_AGTTAGCGTGTTGATC-1", "d15.data_TTGCATTTCCATGCAA-1", "d15.data_CAGGGCTAGCAGCAGT-1", "d15.data_AATCGACAGCGCTGAA-1", "d15.data_GTCTAGACAACATCGT-1", "d15.data_TACCGAAGTGGAAGTC-1", "d15.data_CAGTGCGGTCAAGCCC-1", "d15.data_TTGCCTGTCAAGCGTT-1", "d15.data_CATGGTAGTTGCGGAA-1", "d15.data_CATTTCATCGGTCAGC-1", "d15.data_GTGTCCTGTTTCGTAG-1", "d15.data_CCCTTAGTCTCGACGG-1", "d15.data_GATTCGACACTACCCT-1", "d15.data_ATCAGGTTCTGTACAG-1", "d15.data_AAACGCTGTGGATGAC-1", "d15.data_AGGCATTAGGCTATCT-1", "d15.data_CGGGTGTGTGGCTACC-1", "d15.data_GAGTGAGAGCAGAAAG-1", "d15.data_GTCAGCGGTGCTCGTG-1", "d15.data_CATACAGCAATCGCAT-1", "d15.data_AACAGGGAGATCCCAT-1", "d15.data_TGTGTGATCTCTGCCA-1", "d15.data_ATGCCTCGTAAGATAC-1", "d15.data_CATGCTCGTGCATGAG-1", "d15.data_ATCACGACACGACTAT-1", "d15.data_CTTGATTGTTGTGCAT-1", "d15.data_CTATAGGGTGATGAAT-1", "d15.data_AGTAGCTAGTGATAAC-1", "d15.data_CCTCCTCTCGAAACAA-1", "d15.data_AATGAAGGTTTAGAGA-1", "d15.data_GAATCGTGTGTGAGCA-1", "d15.data_TCAAGTGCACCAGACC-1", "d15.data_ACGTCCTGTCTTGCGG-1", "d15.data_GTCAGCGTCACTGGTA-1", "d15.data_TGTGAGTAGGAACGCT-1", "d15.data_TCCGAAAAGTCGAGGT-1", "d15.data_CATGAGTGTTAATGAG-1", "d15.data_TACCGAAGTCATCAGT-1", "d15.data_CGTTCTGAGAAGCGAA-1", "d15.data_TGGTACACAATGTCAC-1", "d15.data_TGCTTGCCAAATGGAT-1", "d15.data_GTGGAAGTCGACGAGA-1", "d15.data_ACGTAACCAGCTCTGG-1", "d15.data_GATGGAGCATGCCGAC-1", "d15.data_TGGGCTGTCATGCCAA-1", "d15.data_TAACACGTCTTAGCAG-1", "d15.data_AGCTACACATAGTCAC-1", "d15.data_CCTTCAGTCTCGTTTA-1", "d15.data_TAGGAGGGTTCGGACC-1", "d15.data_TTTGTTGGTGACTCGC-1", "d15.data_ATGATCGGTAGCTGAG-1", "d15.data_ACTACGAGTCCGTACG-1", "d15.data_GGTGAAGAGGCACCAA-1", "d15.data_TGTTCCGCAGAGTCAG-1", "d15.data_ACCAAACAGTGTACCT-1", "d15.data_GTGCGTGCAGCGAACA-1", "d15.data_CCTGTTGTCTGCTTAT-1", "d15.data_CGGAACCCACAGCTTA-1", "d15.data_GCCCGAACACATTACG-1", "d15.data_TGCGATAAGCTGAGTG-1", "d15.data_CTTAGGACAGCGTGAA-1", "d15.data_CAATCGAAGCGACCCT-1", "d15.data_ATGTCCCGTCGAACGA-1", "d15.data_GTGCGTGGTTACAGCT-1", "d15.data_AGGAGGTCAGGCTACC-1", "d15.data_GAATCGTGTGGACAGT-1", "d15.data_ACGTACATCGTGGCTG-1", "d15.data_GAGACTTCACGGTAGA-1", "d15.data_TATTGGGCAAGCTGTT-1", "d15.data_TCAAGCACAGGAGGTT-1", "d15.data_ATAGGCTCAAATTGGA-1", "d15.data_CTTGATTTCATCGTAG-1", "d15.data_GCCGTGAGTAATGCTC-1", "d15.data_TCGCTTGAGATGATTG-1", "d15.data_CCTCATGTCCGTCCTA-1", "d15.data_AGGACTTTCTCCGTGT-1", "d15.data_GTTGTCCGTTAAGAAC-1", "d15.data_TTCCGGTTCGACTCCT-1", "d15.data_CATCCCAAGTGGAAGA-1", "d15.data_CAGATACGTGAGGAAA-1", "d15.data_CATCCGTGTGTCCGGT-1", "d15.data_GACGCTGGTCTGATCA-1", "d15.data_AGGGTGACATTACGGT-1", "d15.data_AGCATCAGTTAGGCTT-1", "d15.data_TTTCCTCCAAGAGTAT-1", "d15.data_CAGGTATGTCTTTCTA-1", "d15.data_TCAGGTATCAACACCA-1", "d15.data_TCGCACTCAGAACTCT-1", "d15.data_CTAACTTAGCTTGTGT-1", "d15.data_ATTTCTGCACTCATAG-1", "d15.data_ACACTGATCGTTGTAG-1", "d15.data_GGGATCCTCTAGAACC-1", "d15.data_TTGCCTGGTTAAAGTG-1", "d15.data_TGGCGTGGTGGTACAG-1", "d15.data_ACCTGAACAGTAGAGC-1", "d15.data_TCTCAGCCAATGCAGG-1", "d15.data_GGCTGTGAGCCTGTGC-1", "d15.data_GCTTTCGAGGAAAGGT-1", "d15.data_GGGACCTCAGCCGGTT-1", "d15.data_CTACATTCAAGTCGTT-1", "d15.data_GTAAGTCCAGGTCAGA-1", "d15.data_GAAGTAACACTGTGTA-1", "d15.data_CCCGGAAAGACCATTC-1", "d15.data_TGGGAAGAGACTTAAG-1", "d15.data_GTGTCCTGTCACGACC-1", "d15.data_CTAACTTAGTACCCTA-1", "d15.data_GAGGGATTCCAAGAGG-1", "d15.data_AGTTCCCGTAGTACGG-1", "d15.data_ACGATGTGTAAGGTCG-1", "d15.data_TGGGATTGTAGAGTTA-1", "d15.data_AATTTCCAGTCTTGGT-1", "d15.data_CACGGGTCAGTCAGCC-1", "d15.data_ACGGAAGAGATGCTGG-1", "d15.data_ACTGATGAGTCAACAA-1", "d15.data_TCTAACTTCCCATGGG-1", "d15.data_TTCAATCTCTGTAAGC-1", "d15.data_GACCGTGCAAGAAACT-1", "d15.data_TTTACTGTCTCGAACA-1", "d15.data_TCAGTCCAGATCGCCC-1", "d15.data_GGTAATCCATGATGCT-1", "d15.data_CTTACCGCATGTGACT-1", "d15.data_TCGCACTTCCTGGGAC-1", "d15.data_ATTCCCGGTGCAGTGA-1", "d15.data_GAGGGTACATACACCA-1", "d15.data_GCCAACGGTTGCAAGG-1", "d15.data_TCGTCCAAGGGCAGTT-1", "d15.data_TAGGTACAGCGTGTCC-1", "d15.data_TGTTCCGAGCCTGAAG-1", "d15.data_TCGAACAGTTGCAAGG-1", "d15.data_CCACTTGAGGAAAGAC-1", "d15.data_GTCCCATTCTATTGTC-1", "d15.data_TGAGCATGTTAGAGAT-1", "d15.data_GCTCAAAAGAGCAAGA-1", "d15.data_GTGGTTAGTGTAACGG-1", "d15.data_AGGGTTTCACACACTA-1", "d15.data_GCGTTTCGTGACGTCC-1", "d15.data_TGTCCACTCCAGCAAT-1", "d15.data_ATGAGTCCAGACAAAT-1", "d15.data_ATGCCTCCACGCAAAG-1", "d15.data_CAGCAATGTGACAGGT-1", "d15.data_GTTCTATCAGAGCCCT-1", "d15.data_TCTAACTAGATGAAGG-1", "d15.data_AACAAGACATCCGGCA-1", "d15.data_CCGAACGCAGTACTAC-1", "d15.data_TAATTCCGTATCGTTG-1", "d15.data_TGCTGAACAAGTCGTT-1", "d15.data_GTCTGTCTCAGTGTGT-1", "d15.data_GGGACAAGTTTCGTAG-1", "d15.data_CTCAGGGAGCCATTTG-1", "d15.data_GATTGGTTCGTCACCT-1", "d15.data_CTCATGCTCAATCCAG-1", "d15.data_GTTGTAGAGATCGCCC-1", "d15.data_CGCAGGTGTGCTAGCC-1", "d15.data_TCATGAGGTCATATGC-1", "d15.data_GTAATCGCAGGTCCGT-1", "d15.data_AATGAAGGTTGGGACA-1", "d15.data_AGGATCTCAATACGAA-1", "d15.data_GGGTCTGTCCGTTGAA-1", "d15.data_GTAGGAGGTGATTCAC-1", "d15.data_GTGGAGAGTCAACACT-1", "d15.data_TACTTCAGTACAACGG-1", "d15.data_ATCGTGAAGTCCCGGT-1", "d15.data_GTGGCGTAGTCGAAAT-1", "d15.data_ACGATGTGTGCGCTCA-1", "d15.data_TCCTCCCTCTAAGAAG-1", "d15.data_CGTAAGTCACGGGTAA-1", "d15.data_CGCAGGTCAGGTGAGT-1", "d15.data_GCAGTTAAGGTCACAG-1", "d15.data_AGGGAGTTCAGTGCGC-1", "d15.data_CATGAGTCATTGCCTC-1", "d15.data_GTGAGGATCTGAGGTT-1", "d15.data_ATACCTTTCGTAGCCG-1", "d15.data_GGAATGGGTATCAGCT-1", "d15.data_TGAGGAGCAAGAAACT-1", "d15.data_ACGTAGTAGAGTGACC-1", "d15.data_TTTGTTGAGGAGGGTG-1", "d15.data_TAGTGCAAGCCACCGT-1", "d15.data_CACACAAGTGTACAGG-1", "d15.data_GCCTGTTCAGCGTATT-1", "d15.data_GGAAGTGTCATTTGGG-1", "d15.data_TGGAGGAGTCCACTTC-1", "d15.data_AGGGCCTTCTGGGCGT-1", "d15.data_GGTGTTATCATTTGGG-1", "d15.data_GCCAGTGGTGTACGCC-1", "d15.data_GTTCGCTCAGAAATTG-1", "d15.data_ATCGCCTGTGTGCCTG-1", "d15.data_TTTGGAGAGCGACTAG-1", "d15.data_TCGCAGGTCCTCTAGC-1", "d15.data_TTAGGGTCACCTGAAT-1", "d15.data_CTCTCAGCAGTATTCG-1", "d15.data_TCTCCGAAGCTCGGCT-1", "d15.data_CATGAGTCAGAAGTTA-1", "d15.data_AGGAAATTCGTCGATA-1", "d15.data_TTAATCCCATAATCGC-1", "d15.data_TAAGCGTAGTATCTGC-1", "d15.data_CGTCAAACATTCAGGT-1", "d15.data_AACCACAGTAGTTAGA-1", "d15.data_CGAGGCTAGGTTGAGC-1", "d15.data_TACGTCCGTAGCACAG-1", "d15.data_AGACAGGGTGTAAATG-1", "d15.data_CGGGCATCAGAGTGTG-1", "d15.data_GCGGAAAGTCGGATTT-1", "d15.data_AACAAAGAGATAGCTA-1", "d15.data_TTAGTCTAGAGGTGCT-1", "d15.data_GTCTTTAGTGGTACAG-1", "d15.data_AATGGAAAGGGTCTTT-1", "d15.data_GAGGCAATCGTGCGAC-1", "d15.data_ATGGATCGTGCATGAG-1", "d15.data_TGTTGGAAGTGGAAGA-1", "d15.data_GCAACCGCAGTGTACT-1", "d15.data_TCCGGGAGTAAGGTCG-1", "d15.data_TCAGCAAAGATCGCTT-1", "d15.data_GTGCTTCCACGGTAGA-1", "d15.data_CGAGTTACAGAGAAAG-1", "d15.data_ATTCATCGTTAAAGTG-1", "d15.data_ACCCTTGTCTACGGTA-1", "d15.data_ACTTTGTAGCGTGTCC-1", "d15.data_GAAACCTGTCCCTGAG-1", "d15.data_TGCTCCAGTTCAGCGC-1", "d15.data_CTGGACGAGAAGCGCT-1", "d15.data_CACGAATCACAGTGAG-1", "d15.data_CGAGGAAAGATAGTCA-1", "d15.data_GTGTTCCCATTGTCGA-1", "d15.data_GCGGAAAAGTATCTGC-1", "d15.data_CTGTAGAAGTGACACG-1", "d15.data_AGTCACAAGTGGAATT-1", "d15.data_GGAGAACTCCAGCCTT-1", "d15.data_CGTTGGGTCCTAACAG-1", "d15.data_AGAAGCGGTGACACGA-1", "d15.data_AGCTTCCAGTCTGGAG-1", "d15.data_GGAGGTACATAGCACT-1", "d15.data_GGCTTGGTCCACTTTA-1", "d15.data_TTCCTTCTCTTGGCTC-1", "d15.data_TGCGGCATCAGGACGA-1", "d15.data_CATAGACCAAATACAG-1", "d15.data_AGAGAGCAGACCATGG-1", "d15.data_CTATAGGAGCTACTGT-1", "d15.data_CCTGTTGGTAGATTGA-1", "d15.data_CGTTGGGGTTTGAAAG-1", "d15.data_ACATCGAAGGAACTAT-1", "d15.data_TCGGATATCGGCCCAA-1", "d15.data_GAATAGAGTTGTGGAG-1", "d15.data_TGTAGACAGGGAGTTC-1", "d15.data_AGAAGTAGTCGCACAC-1", "d15.data_CACAACATCTAACGGT-1", "d15.data_ACGATCAAGTGGATTA-1", "d15.data_TCGTGCTCACAACGAG-1", "d15.data_CAGTTCCGTAGGCAGT-1", "d15.data_TAATCTCAGACTGTTC-1", "d15.data_AGCTCAATCAACTGAC-1", "d15.data_GCATGATAGGCCACTC-1", "d15.data_CATGCGGAGCAGTACG-1", "d15.data_TGTTCTAGTGACCTGC-1", "d15.data_TGGTAGTTCAGACATC-1", "d15.data_TCAAGTGAGGGCGAAG-1", "d15.data_CGAGGAATCACTTGGA-1", "d15.data_TTCCTTCGTTGCTAGT-1", "d15.data_GAAACCTAGGGCGAAG-1", "d15.data_AACAGGGAGATGCAGC-1", "d15.data_GTTTACTAGGTCCCGT-1", "d15.data_TGTTTGTGTAGCCCTG-1", "d15.data_ATTACTCGTATGACAA-1", "d15.data_AGCGATTAGCATCAGG-1", "d15.data_TGAGTCATCAATCGGT-1", "d15.data_AATAGAGTCGCATTAG-1", "d15.data_TAGACTGGTTGACGGA-1", "d15.data_TCCACGTTCAACCGAT-1", "d15.data_GATGAGGGTTGTAGCT-1", "d15.data_CGACAGCGTCTCAGAT-1", "d15.data_CATCGTCTCGAGAATA-1", "d15.data_ATTCACTCAGTCGGAA-1", "d15.data_TTGATGGCAGAACGCA-1", "d15.data_AGGATAAAGCATCCTA-1", "d15.data_CTCAGTCTCGGTTAGT-1", "d15.data_TTCAATCTCAAATGCC-1", "d15.data_TTTACCAAGCCTGAGA-1", "d15.data_TTCCTAAGTCTGTAGT-1", "d15.data_CATCGTCGTTGCTAGT-1", "d15.data_TGGAGAGTCAGGGATG-1", "d15.data_AGGAGGTTCTCTCAAT-1", "d15.data_ATGAAAGAGGACGCAT-1", "d15.data_AAGGAATAGGATACCG-1", "d15.data_GAGGCAAAGTACAGAT-1", "d15.data_GTCATTTGTAGTTCCA-1", "d15.data_GGGTCACAGATTGATG-1", "d15.data_CCGATCTGTATCAAGA-1", "d15.data_TTTACGTCAACGGCTC-1", "d15.data_TCCTGCAGTGGGCTTC-1", "d15.data_GTCGTAACACCTGCAG-1", "d15.data_TAGCACAGTTGGGCCT-1", "d15.data_GCACGTGCACTGAGTT-1", "d15.data_TAAGTCGCACTCCACT-1", "d15.data_CAGATACAGCAGCAGT-1", "d15.data_GGCACGTTCGGACTGC-1", "d15.data_GTGCAGCCAGACACAG-1", "d15.data_GTTGAACCATGGCCCA-1", "d15.data_TTGAGTGTCGCATGAT-1", "d15.data_CGGGACTCACGCTTAA-1", "d15.data_GTCAAGTAGGCATCGA-1", "d15.data_AAGCCATGTACAGTTC-1", "d15.data_TTGGTTTAGCAAACAT-1", "d15.data_TACCGAACAAGCAATA-1", "d15.data_TCCGAAATCTCGCTTG-1", "d15.data_TTCGGTCAGGTATAGT-1", "d15.data_GTGAGCCGTTATAGAG-1", "d15.data_CAGTTAGAGAACAGGA-1", "d15.data_AACCTTTTCACACCGG-1", "d15.data_ATCGGCGGTGTTGATC-1", "d15.data_ACCAAACTCATTTGCT-1", "d15.data_CTTTCGGAGGCCCACT-1", "d15.data_TCATTTGGTGGTAACG-1", "d15.data_TAGCACAGTTAGCGGA-1", "d15.data_TGCGGCACACGGATCC-1", "d15.data_ACAACCAAGTGGCAGT-1", "d15.data_TTTCAGTTCTCGTGAA-1", "d15.data_GCTCAAATCGTGCAGC-1", "d15.data_AGGCATTCAATGAACA-1", "d15.data_CATCCGTCAGATCCTA-1", "d15.data_CATCGTCGTTCCTAAG-1", "d15.data_CGTGTCTGTTACACTG-1", "d15.data_TGCGGGTGTCCTACGG-1", "d15.data_AAATGGAGTTTCGGCG-1", "d15.data_TACGGGCTCACCATGA-1", "d15.data_GATCGTATCAAATGCC-1", "d15.data_TCAATTCAGAACTCCT-1", "d15.data_ACGATGTGTTAACAGA-1", "d15.data_CGAGTGCGTTGTGGAG-1", "d15.data_GTGCACGCACTGTGTA-1", "d15.data_GTCTACCGTCGAGCTC-1", "d15.data_TCAGTGAGTGTTCCTC-1", "d15.data_GCAACATTCCAACTAG-1", "d15.data_CCTGCATCACAGCTTA-1", "d15.data_TGAGGTTGTTCTCACC-1", "d15.data_GTTACCCTCCTCAGAA-1", "d15.data_AGTCAACGTGCAATAA-1", "d15.data_CGGAACCGTTACGGAG-1", "d15.data_AGCGCTGAGGTTTGAA-1", "d15.data_GAAGGGTTCGATACAC-1", "d15.data_CTTCTCTTCAACTACG-1", "d15.data_GAGTGTTAGGATTACA-1", "d15.data_CGCATGGAGCAGGCTA-1", "d15.data_AGTGACTAGCATCAAA-1", "d15.data_TCAGCAAGTTGATCGT-1", "d15.data_AGTAACCGTGATTCAC-1", "d15.data_CATTCTAGTCAGACGA-1", "d15.data_CGATGGCGTAGGCAAC-1", "d15.data_GGGTTATAGTTACGGG-1", "d15.data_AGCTACAGTTGCATGT-1", "d15.data_TCATTTGGTCTTAGTG-1", "d15.data_CTTCTAAAGAAGTATC-1", "d15.data_CTATCTACAAGTGCAG-1", "d15.data_TCATGGAGTCTGTGTA-1", "d15.data_TAACCAGGTGACCGTC-1", "d15.data_AGAGAGCAGCAACCAG-1", "d15.data_CATCCACTCAGAGCAG-1", "d15.data_TCTGGCTCAACGATCT-1", "d15.data_TCAGGGCCACGGGCTT-1", "d15.data_CGAAGGACATACCAGT-1", "d15.data_GCCGATGCAAGTGGCA-1", "d15.data_CACTGGGGTGTTGAGG-1", "d15.data_GCCCGAAGTATTTCCT-1", "d15.data_CGTTGGGTCCATACAG-1", "d15.data_ACTCCCACAGGAGACT-1", "d15.data_TATCAGGCAACGAGGT-1", "d15.data_GACCGTGAGACAACAT-1", "d15.data_TTTCAGTGTCTTCAAG-1", "d15.data_GGCTTGGGTGCATGAG-1", "d15.data_AACTTCTTCCACGTCT-1", "d15.data_ACACGCGTCTCATGCC-1", "d15.data_AAGACAACAGAGTTCT-1", "d15.data_TTTACCAGTCGCATCG-1", "d15.data_TTCCTAAAGCGTCAGA-1", "d15.data_CTGCCATAGCCACCGT-1", "d15.data_TACTTGTCAGGTTCGC-1", "d15.data_GTAATCGGTAGAGACC-1", "d15.data_ACGGTCGGTCAAAGTA-1", "d15.data_GACCCAGAGGGCTAAC-1", "d15.data_CCGGTAGAGGTGATAT-1", "d15.data_CCTCAACCAGTAGTTC-1", "d15.data_TCATGTTTCCGTGGGT-1", "d15.data_TTGTTCAGTGCCTATA-1", "d15.data_AGAAATGCAGGCTACC-1", "d15.data_TCCTTTCGTAGTCCTA-1", "d15.data_GAGTTGTAGATGGCAC-1", "d15.data_ACTTCCGAGAGGACTC-1", "d15.data_GTGGAAGGTTGACTGT-1", "d15.data_GAGTTGTCAGGACGAT-1", "d15.data_GCCCAGACACTGTCGG-1", "d15.data_TTACAGGGTTGATGTC-1", "d15.data_TGTGAGTGTCATCGCG-1", "d15.data_TGGATCAAGACTAAGT-1", "d15.data_CGAGAAGCATGCGTGC-1", "d15.data_TGTGATGCAGCTAACT-1", "d15.data_ACACAGTGTGACCGAA-1", "d15.data_TCACTATCAAAGCGTG-1", "d15.data_ATGACCACATCAACCA-1", "d15.data_TGAGACTTCATCACAG-1", "d15.data_ATTGGGTGTCCAGGTC-1", "d15.data_TACGCTCGTGCCCAGT-1", "d15.data_ACGATGTAGGGCAATC-1", "d15.data_TTGCATTAGACATAAC-1", "d15.data_TTTCAGTGTCTGCGCA-1", "d15.data_TCTCCGAAGGATTACA-1", "d15.data_GGGACCTAGTGGAAGA-1", "d15.data_GTGTTCCCAACTGATC-1", "d15.data_TTCGATTCATCAGCAT-1", "d15.data_CAGATCACAGAGATTA-1", "d15.data_TACGGGCTCTGTCCCA-1", "d15.data_TAACACGAGCTAAACA-1", "d15.data_AATGAAGTCGCTTAAG-1", "d15.data_TCCCATGAGAAGAACG-1", "d15.data_AGACACTTCGTTGTAG-1", "d15.data_CATCGTCTCACTGTCC-1", "d15.data_GTAGAGGGTCGCATGC-1", "d15.data_ACCATTTTCGTAGAGG-1", "d15.data_CCTCTCCTCTGAGGCC-1", "d15.data_TTGCGTCCAGCTGAGA-1", "d15.data_TCCTGCATCGCTGATA-1", "d15.data_AGCGATTGTTAGCGGA-1", "d15.data_TCATATCCAAATCAAG-1", "d15.data_TCATTCATCACCATCC-1", "d15.data_CGAAGGATCTCTGCTG-1", "d15.data_ATAGAGAGTGTCCTAA-1", "d15.data_TCGAAGTGTAGCTGTT-1", "d15.data_CCGATCTAGATGTTAG-1", "d15.data_CGGACACTCCCAGCGA-1", "d15.data_AATCGTGGTTTCCATT-1", "d15.data_CAATCGATCGCTCTAC-1", "d15.data_GGGAGTACACGTCGTG-1", "d15.data_GTTACCCAGTTCATGC-1", "d15.data_TTTCGATAGTTAACAG-1", "d15.data_CTGGTCTTCATCGACA-1", "d15.data_GTAAGTCTCCGATCGG-1", "d15.data_CTCAGAAGTGCAACAG-1", "d15.data_TCACTCGTCCTACCGT-1", "d15.data_TTGTTGTGTTTCCCAC-1", "d15.data_GGGTGTCCAGCGTACC-1", "d15.data_CTTCTAAGTTATGACC-1", "d15.data_AAGCATCCACTACGGC-1", "d15.data_CAATTTCGTATGTCAC-1", "d15.data_GATAGCTGTCACTTAG-1", "d15.data_CTACCCAGTAACACGG-1", "d15.data_CTGGCAGTCTTCGTAT-1", "d15.data_TTTACCAAGTGATGGC-1", "d15.data_TATCTTGGTAACACCT-1", "d15.data_AGGCATTAGTTTCGGT-1", "d15.data_AGGGTGACAGGGACTA-1", "d15.data_AGCCAGCGTTGCGGCT-1", "d15.data_GACAGCCTCGTTCTCG-1", "d15.data_AGGTGTTCAGCTAACT-1", "d15.data_GGCAGTCGTGCGAACA-1", "d15.data_ACGGAAGTCTGACGCG-1", "d15.data_TCATGTTGTTGCTAGT-1", "d15.data_CTACAGATCCGCAAAT-1", "d15.data_GTATTGGAGGTAGTCG-1", "d15.data_AATCACGGTCACCGCA-1", "d15.data_GTTAGACAGGTTCCAT-1", "d15.data_GCCAGCACAGTGGTGA-1", "d15.data_AACCACAAGGGCCCTT-1", "d15.data_AGACTCAGTGCCTTCT-1", "d15.data_ACGGGTCTCCTACAAG-1", "d15.data_GACGTTAGTTCCGCGA-1", "d15.data_TCATACTAGCTCAGAG-1", "d15.data_ATTACCTGTTAGGCTT-1", "d15.data_AGAGCAGCAATGTCTG-1", "d15.data_AAGATAGCACGACCTG-1", "d15.data_AGGCCACTCAGTGTCA-1", "d15.data_CCCGAAGAGACCAGAC-1", "d15.data_GAGTTACCAGGTCAAG-1", "d15.data_AGTCATGTCTTCTCAA-1", "d15.data_GGGTTATCACACGCCA-1", "d15.data_TCGTAGAGTCATGGCC-1", "d15.data_GTTACGAAGTCTGCAT-1", "d15.data_ATTCAGGTCTTTCTAG-1", "d15.data_TCGTCCAGTGTACGCC-1", "d15.data_GGCAGTCTCCCAGCGA-1", "d15.data_ATCGATGCAGAGTTGG-1", "d15.data_TCCTAATCACTAAACC-1", "d15.data_ATTCATCAGGACTAAT-1", "d15.data_TTCCGGTTCGCGTAGC-1", "d15.data_CACGAATCAAGCCTGC-1", "d15.data_TTACAGGTCAGTGCGC-1", "d15.data_GGCAGTCTCCAGCCTT-1", "d15.data_TCTCCGATCATTACGG-1", "d15.data_ATTGGGTTCTGGACCG-1", "d15.data_CAGAGCCCAAGTGGAC-1", "d15.data_TGGCGTGCACAATGAA-1", "d15.data_AGACAAAAGAAGCGCT-1", "d15.data_ATTCCATCACAGGATG-1", "d15.data_ATCGTAGGTGTAGGAC-1", "d15.data_GGTGTCGGTGTTCATG-1", "d15.data_CTGCCATCAATTTCTC-1", "d15.data_CAGGGCTTCACGATCA-1", "d15.data_AGATAGAAGGGAGGCA-1", "d15.data_CTGCGAGCAATTCGTG-1", "d15.data_TGCATCCAGACCAAGC-1", "d15.data_TCGGTCTTCCGATTAG-1", "d15.data_TGATGGTGTAAGACCG-1", "d15.data_TTTGATCAGTGGAAGA-1", "d15.data_CTGGACGAGGTTGCCC-1", "d15.data_TCGCTCAGTGGTATGG-1", "d15.data_AGTTCGATCCACCCTA-1", "d15.data_AAAGAACTCTTCGTGC-1", "d15.data_AGAGCAGTCTAGACCA-1", "d15.data_ATGCGATTCAGAGTGG-1", "d15.data_GAGGGATAGTTGCCCG-1", "d15.data_GGATCTAGTCATACCA-1", "d15.data_GGAATGGAGGTTATAG-1", "d15.data_TCTCTGGAGATGTTCC-1", "d15.data_GCATCTCCAAGCCCAC-1", "d15.data_GTTGTAGAGTTGAAGT-1", "d15.data_ACACAGTCAGAGGCAT-1", "d15.data_CCGTTCACAGCTGTCG-1", "d15.data_GGCAGTCTCGTGGGAA-1", "d15.data_AATGCCAGTTCTCCTG-1", "d15.data_TGCGGCAGTGGTCTCG-1", "d15.data_TTGTTTGAGAGTCGAC-1", "d15.data_CTAGGTAAGCTGTGCC-1", "d15.data_ACGCACGAGTCGAGGT-1", "d15.data_CGGTCAGGTGCAACGA-1", "d15.data_GAGTTGTCATAGAAAC-1", "d15.data_TGGGAAGTCTTACGTT-1", "d15.data_TATTTCGGTAAGCGGT-1", "d15.data_TCGGGTGTCGATCCAA-1", "d15.data_TGTGCGGCATGTCTAG-1", "d15.data_AGACTCATCAGCTAGT-1", "d15.data_CTACCTGAGTAAACTG-1", "d15.data_CATCAAGAGCGTTCCG-1", "d15.data_CACGAATGTGCCGTTG-1", "d15.data_GAAATGACACCATTCC-1", "d15.data_CATTCTACAGATCCTA-1", "d15.data_TTGCGTCTCACGAGGA-1", "d15.data_CTACCTGGTTGCATGT-1", "d15.data_GAAGCCCGTTTGGGAG-1", "d15.data_TGACAGTAGACGACTG-1", "d15.data_CATTCTATCCACTGGG-1", "d15.data_TTGTTTGGTGAACCGA-1", "d15.data_TCACTATAGAGGCGTT-1", "d15.data_TTAGGCAGTATAGCTC-1", "d15.data_GCATTAGAGGACCCAA-1", "d15.data_TGTACAGTCTCCAAGA-1", "d15.data_ACCATTTCAACTGGTT-1", "d15.data_CACAGATTCGATACGT-1", "d15.data_GGACGTCAGGGAGGTG-1", "d15.data_GGAACCCTCGGTGTAT-1", "d15.data_GTGAGTTTCGGTCATA-1", "d15.data_TAGTGCAGTACGACAG-1", "d15.data_GAATCGTCAGTAGGAC-1", "d15.data_TGTCCCAGTAGTCACT-1", "d15.data_CCGGGTAAGCTACTAC-1", "d15.data_TGAGGAGAGCTGTCCG-1", "d15.data_TACCTGCAGGTCCCTG-1", "d15.data_TCCGGGAAGTTACGTC-1", "d15.data_GGGATGACATCAGCTA-1", "d15.data_AGTTAGCGTGTGTTTG-1", "d15.data_TCATACTTCAAGGCTT-1", "d15.data_GTACAGTGTTATCCAG-1", "d15.data_AGAACAAGTAGAATGT-1", "d15.data_TCTGGCTGTAGCGTCC-1", "d15.data_GGCTTTCTCGACGATT-1", "d15.data_AAGCCATGTGGAGAAA-1", "d15.data_TTTACCAAGTTGCTCA-1", "d15.data_CATCGTCAGCAATTAG-1", "d15.data_CAGGTATCACGCGTGT-1", "d15.data_ATTCTACTCTTTACAC-1", "d15.data_GAGTTACTCTTCGCTG-1", "d15.data_GTGATGTTCGGTAAGG-1", "d15.data_TTGAACGTCGGAGTGA-1", "d15.data_GTCTTTAAGTATGCAA-1", "d15.data_CTGAGGCAGCTCCACG-1", "d15.data_CGCGTGATCTGAGGCC-1", "d15.data_TCGTCCAGTCAGTCCG-1", "d15.data_GACAGCCGTTGCACGC-1", "d15.data_ACAGAAAAGTGATTCC-1", "d15.data_TGTTACTGTGGAGGTT-1", "d15.data_TGGAGGATCGTTATCT-1", "d15.data_CTACATTGTTAGGAGC-1", "d15.data_AGGACTTAGACCATAA-1", "d15.data_ACTTATCGTCCTACAA-1", "d15.data_GTGATGTAGCCTCTGG-1", "d15.data_TTTACCATCGGTGTAT-1", "d15.data_CACCGTTTCCTTGAAG-1", "d15.data_CATGAGTAGCATTGAA-1", "d15.data_ATCGATGCATCCCGTT-1", "d15.data_GGTTCTCCAAATGGCG-1", "d15.data_ATCGGATAGTTCTCTT-1", "d15.data_CAGATCACAGTCAGTT-1", "d15.data_GACTGATGTAGGGAGG-1", "d15.data_GGGTCACTCTTTCAGT-1", "d15.data_CATAAGCTCGGTCGGT-1", "d15.data_TGTAACGAGTCCCAAT-1", "d15.data_CATCGTCCACGTGTGC-1", "d15.data_AGTTAGCGTGGACAGT-1", "d15.data_TTGGTTTCAACGACTT-1", "d15.data_ATCTTCATCGTGTGGC-1", "d15.data_CCGTGAGTCGGCCAAC-1", "d15.data_CAATACGAGAACCCGA-1", "d15.data_ATAGACCTCTACTATC-1", "d15.data_GAAGGACTCCGTGTCT-1", "d15.data_GAAGGGTTCTTGATTC-1", "d15.data_ACTTTCACATTAAAGG-1", "d15.data_TCACACCAGAGCTGAC-1", "d15.data_CTCAGTCAGGAACGCT-1", "d15.data_GAATCGTAGCATGCAG-1", "d15.data_TGATGCAAGATTGCGG-1", "d15.data_TGGATGTGTTTCTATC-1", "d15.data_GCACGGTAGCTTCGTA-1", "d15.data_GGCAGTCGTCTTTATC-1", "d15.data_CCACGAGCACCAGCTG-1", "d15.data_TACCTCGTCGGAAACG-1", "d15.data_CGAGGAAAGATGAATC-1", "d15.data_TACGCTCCATCGCCTT-1", "d15.data_GATGATCAGCCAACCC-1", "d15.data_CTCATGCTCGTAGTGT-1", "d15.data_TGTTTGTAGGCCATAG-1", "d15.data_CATCCACTCTGTAAGC-1", "d15.data_ATGAGGGGTTGGGTTT-1", "d15.data_CACTGTCCAGGTGACA-1", "d15.data_CCGGACAGTCTGCGCA-1", "d15.data_GTTACAGTCTGATTCT-1", "d15.data_CTTAGGATCAAGTGGG-1", "d15.data_GGAGATGGTCAACATC-1", "d15.data_ATGGATCAGGATTACA-1", "d15.data_AGAAGCGGTCCGAAAG-1", "d15.data_GAGCCTGAGCAGATAT-1", "d15.data_ACTGTCCGTTAGTTCG-1", "d15.data_AGGTTACTCATCTGTT-1", "d15.data_ACCGTTCTCCACCTGT-1", "d15.data_TTCTTGAAGGGATCTG-1", "d15.data_TTTACGTGTACGGGAT-1", "d15.data_GCAGTTATCGTAATGC-1", "d15.data_ACAAGCTTCATTACCT-1", "d15.data_TCGGGTGCACTCTCGT-1", "d15.data_AAAGAACAGATGGGCT-1", "d15.data_CAGAGCCGTTGTCTAG-1", "d15.data_ACTTCGCTCCCTCATG-1", "d15.data_CTCATCGCAGAGGCTA-1", "d15.data_GTCTTTACATTACGGT-1", "d15.data_GTTGTAGGTTAGGACG-1", "d15.data_TTTATGCCACTTCATT-1", "d15.data_TCATTCATCTTTGATC-1", "d15.data_CTACTATGTAAGCGGT-1", "d15.data_TCAGGTAAGCCACAAG-1", "d15.data_GGGTGAACACAGCCAC-1", "d15.data_ATCAGGTTCCGCGATG-1", "d15.data_GAAGAATAGAATCGAT-1", "d15.data_TATCTGTTCATTGTTC-1", "d15.data_TTTGGAGAGGTGCATG-1", "d15.data_AGGACGATCCAGGACC-1", "d15.data_TTGGGTAGTTGCGGCT-1", "d15.data_GTACAGTCATAGGTAA-1", "d15.data_TACGGTAGTAGGTCAG-1", "d15.data_GATCACATCTGTGCAA-1", "d15.data_TCTGCCATCCTTGGAA-1", "d15.data_AGGGTCCGTTACGTAC-1", "d15.data_ACTTAGGTCTCTTGCG-1", "d15.data_TGCCGAGTCCATTCGC-1", "d15.data_GGAATGGAGACTCTTG-1", "d15.data_AAAGTCCGTGGGTCAA-1", "d15.data_CGTTCTGGTGCCAAGA-1", "d15.data_CACGAATTCTCGTGGG-1", "d15.data_GTGCGTGGTTGTATGC-1", "d15.data_CAAGGGATCAGGTAAA-1", "d15.data_TATCCTAAGAGTGTGC-1", "d15.data_TGATTTCCAACACGTT-1", "d15.data_GATGACTGTAGGTTTC-1", "d15.data_TATCCTATCTCGCAGG-1", "d15.data_ACACCAAGTCGTATGT-1", "d15.data_AGTAGCTAGATGCTTC-1", "d15.data_CCGTGAGCAAATACAG-1", "d15.data_GCGTGCAGTCCCGTGA-1", "d15.data_TAGCACAGTATGAGGC-1", "d15.data_ACGGTCGGTAATGCTC-1", "d15.data_TGATGCACATGAAGGC-1", "d15.data_TTGCATTGTTCGTACA-1", "d15.data_TCCATGCGTTGGCTAT-1", "d15.data_TTCCAATCATACCGTA-1", "d15.data_AGTGATCTCGCGTGAC-1", "d15.data_CCGATCTGTTCTTAGG-1", "d15.data_ATCCACCGTGACCGAA-1", "d15.data_GTGGGAAAGCGCTGAA-1", "d15.data_GGGCTCAGTGACATCT-1", "d15.data_TTCATTGAGTCGCCCA-1", "d15.data_CGTTGGGGTGAGTAAT-1", "d15.data_CTGTATTTCCACAGCG-1", "d15.data_GGTTCTCAGCATGAAT-1", "d15.data_ACCGTTCTCTTCGTAT-1", "d15.data_GCACTAAGTCGCACAC-1", "d15.data_TTTACCAGTACCCGAC-1", "d15.data_ACTCCCAAGTCTGGTT-1", "d15.data_TTCGGTCCACCCATAA-1", "d15.data_GAGTGAGCAAACAGGC-1", "d15.data_ATGGAGGAGGTTTGAA-1", "d15.data_CACTGAATCGAGATGG-1", "d15.data_CGCATAACAACAAGTA-1", "d15.data_GTGCGTGAGAAAGCGA-1", "d15.data_TTGGGTAAGCCATATC-1", "d15.data_GGAGGATCATAGACTC-1", "d15.data_TGCGGCAGTCCAGCCA-1", "d15.data_TGTCCTGAGTCAGAGC-1", "d15.data_TCTTTGATCCGCTGTT-1", "d15.data_TGATGCATCCCGAATA-1", "d15.data_ATCGTGAGTGCTGCAC-1", "d15.data_GACATCACAACGGTAG-1", "d15.data_AGATGCTGTGTCCGTG-1", "d15.data_AGTTCGAAGTTAACAG-1", "d15.data_GGTCACGGTGAATGAT-1", "d15.data_TGAGGTTAGCTGAAGC-1", "d15.data_TCAATTCTCCAAGCTA-1", "d15.data_GGGTCACTCTAAGCGT-1", "d15.data_CAGATTGGTATGGAGC-1", "d15.data_TGACGCGGTGTCTTCC-1", "d15.data_AGTCATGGTCATGGCC-1", "d15.data_AGCGATTAGCCATTTG-1", "d15.data_ATTCACTCAACAGATA-1", "d15.data_TGGAGGACAAGTCCCG-1", "d15.data_GTATTGGTCTGGAAGG-1", "d15.data_ATCACGAAGACAGCTG-1", "d15.data_AAGTGAACAACTGCTA-1", "d15.data_CTGTCGTCAGATTCGT-1", "d15.data_ACGTTCCCAACTTGCA-1", "d15.data_ATCCACCGTGCAGTGA-1", "d15.data_GAGGGTACATTCACCC-1", "d15.data_GCGAGAAAGTCGAGGT-1", "d15.data_AACACACCATCGATAC-1", "d15.data_TCGGGCATCTTTCCGG-1", "d15.data_AGTCACATCTTTCTAG-1", "d15.data_CCGCAAGTCGGCTGAC-1", "d15.data_TCGTCCATCTGGCTGG-1", "d15.data_CGAATTGAGCGTGTTT-1", "d15.data_CTAGGTAAGCCTATTG-1", "d15.data_AAGGAATCAGGGTCTC-1", "d15.data_TGACTCCAGCGTGCTC-1", "d15.data_GAATAGAAGCGCGTTC-1", "d15.data_AGGATAAAGTGGCAGT-1", "d15.data_TGTCCTGTCATCACCC-1", "d15.data_GTTGTAGAGGTAATCA-1", "d15.data_TCATGGATCCGAACGC-1", "d15.data_CCATCACGTATCGTAC-1", "d15.data_CTCCCTCGTTACACAC-1", "d15.data_TCTTGCGTCCGTGCGA-1", "d15.data_ACATCGAAGGACAACC-1", "d15.data_TAGACTGGTCCGACGT-1", "d15.data_TGGGATTCATAGTCAC-1", "d15.data_ACCAACAGTAACAAGT-1", "d15.data_ACATGCAAGCTGAAGC-1", "d15.data_GTGGAGATCCCGAGGT-1", "d15.data_TCAGGTAAGTAATACG-1", "d15.data_GTGAGGAGTATTGACC-1", "d15.data_CAGCAGCGTGCAATAA-1", "d15.data_TTGGTTTCATGAGAAT-1", "d15.data_GATTGGTGTCGTCAGC-1", "d15.data_TGAGCATGTTGATCGT-1", "d15.data_CCTAAGAAGCCGAATG-1", "d15.data_ATGGGAGGTTGTCTAG-1", "d15.data_GTCCACTTCCGAGTGC-1", "d15.data_CGAGAAGGTTCAAACC-1", "d15.data_CATCGTCTCCTCATAT-1", "d15.data_GTCGCGATCAGTCTTT-1", "d15.data_CCACAAATCCCTCGAT-1", "d15.data_CGTCAAAGTTTAGACC-1", "d15.data_TTTAGTCCAATCTCTT-1", "d15.data_TGCACGGGTAGTATAG-1", "d15.data_AGTGATCCACAACGAG-1", "d15.data_ATCCATTGTTTAGACC-1", "d15.data_AGTCACAGTGCGGATA-1", "d15.data_TCGGGCAGTCCTCCTA-1", "d15.data_CAGGTATAGGTAGCCA-1", "d15.data_TCATGCCCAAACTAAG-1", "d15.data_CGTGATACATGTGACT-1", "d15.data_ATCGATGTCCATGAGT-1", "d15.data_TGATTCTAGATCGCCC-1", "d15.data_GTTACCCCACAACATC-1", "d15.data_GTCTTTAAGGGCAAGG-1", "d15.data_ATGCGATCAACCCTCT-1", "d15.data_CTGTCGTCAACTCGAT-1", "d15.data_GGAGCAAGTACAAAGT-1", "d15.data_GTCAAGTAGCCAAGTG-1", "d15.data_CCTCTAGCATCCGAGC-1", "d15.data_AGGGAGTCATTCATCT-1", "d15.data_TTGGGCGTCGAAATCC-1", "d15.data_TAACCAGGTTCAGCTA-1", "d15.data_GCCATGGAGAGTGACC-1", "d15.data_AACAGGGTCTAGAACC-1", "d15.data_TTCCGTGTCCACACAA-1", "d15.data_AGGTTACGTCCCAAAT-1", "d15.data_GGTAACTGTCTTGCTC-1", "d15.data_ATCGTAGTCGATAACC-1", "d15.data_TCTCACGGTGGCTACC-1", "d15.data_CACTGAAGTTACCGTA-1", "d15.data_GGTAATCGTGGCTAGA-1", "d15.data_TGTTTGTGTCGTCGGT-1", "d15.data_ACTTAGGGTCGTTGCG-1", "d15.data_AACCCAAGTTTGTGGT-1", "d15.data_CGAGGCTGTCACATTG-1", "d15.data_TGACTCCGTAATTAGG-1", "d15.data_ATCCGTCGTTGCCAAT-1", "d15.data_ACCTGAAGTTTCACTT-1", "d15.data_ATGCCTCAGTTGGGAC-1", "d15.data_GGGTTATCACTTGGGC-1", "d15.data_TCATTACTCCTTATCA-1", "d15.data_GTTACGAGTATCCTTT-1", "d15.data_AATCACGGTATCACCA-1", "d15.data_CAACAGTTCCAGTGTA-1", "d15.data_TTCCGTGTCAGCTTCC-1", "d15.data_ATACCTTCACCAACAT-1", "d15.data_TATCTGTGTCGACTGC-1", "d15.data_AGACAGGGTTGCTGAT-1", "d15.data_GTTAGTGGTGGGACAT-1", "d15.data_GAGGCCTAGATGACCG-1", "d15.data_CACAGATCAGCAGTGA-1", "d15.data_TTAGTCTCAATACGAA-1", "d15.data_GTAGGAGCACCCGTAG-1", "d15.data_AGGGAGTTCCTGGGTG-1", "d15.data_CTCCCTCAGCACACAG-1", "d15.data_AAAGGATAGTAGTCCT-1", "d15.data_GGGTATTTCGTCGATA-1", "d15.data_CTATCCGGTGCACGCT-1", "d15.data_TGCAGTAGTCCTCATC-1", "d15.data_CGATGGCCAATGACCT-1", "d15.data_ACAAAGAAGGGCAAGG-1", "d15.data_ATTCCTACACTACTTT-1", "d15.data_CCAATTTTCATGAGTC-1", "d15.data_CGGAATTGTTTGCAGT-1", "d15.data_GAGGGTACACAGTCCG-1", "d15.data_TTGTGGAGTGCAACGA-1", "d15.data_TTACCGCGTCAGCTTA-1", "d15.data_CGAGGAACACCATAAC-1", "d15.data_CTACGGGGTGCATTTG-1", "d15.data_GCCAGGTTCCCGTGTT-1", "d15.data_GAAGCGACATGGCACC-1", "d15.data_GGAGGATCATGGGATG-1", "d15.data_AACTTCTTCCGCACTT-1", "d15.data_CGATCGGAGGTCATAA-1", "d15.data_GACGTTACACGCAAAG-1", "d15.data_ATACCGAGTGGAGAAA-1", "d15.data_AATTTCCCAGAAATTG-1", "d15.data_GCACTAAGTGGTCTTA-1", "d15.data_TAGGAGGTCAAACGTC-1", "d15.data_TTGCGTCAGTCACTAC-1", "d15.data_CATGCCTAGGGAGGGT-1", "d15.data_GGGTCACTCTGTCTCG-1", "d15.data_GTGCTGGCATAATGCC-1", "d15.data_GAGGGATAGTCCCGGT-1", "d15.data_AACTTCTCATAAGCGG-1", "d15.data_CCGAACGCATTGTACG-1", "d15.data_TGTTGGAAGGAAGTAG-1", "d15.data_ACATCCCAGCAGGCTA-1", "d15.data_TGTTCTACACTTGTCC-1", "d15.data_GGTTGTAAGGGCGAGA-1", "d15.data_AGGGTCCGTAAGAACT-1", "d15.data_GGTTCTCGTATTCCTT-1", "d15.data_TCCTTTCAGGGCGAAG-1", "d15.data_CTGTGGGGTCTACAAC-1", "d15.data_AGAGAATTCTTACGTT-1", "d15.data_TTGGATGGTCCTTGTC-1", "d15.data_GGGCTCACAAATCAGA-1", "d15.data_CATGCAAAGGGTACAC-1", "d15.data_GTAATGCTCAAATAGG-1", "d15.data_ATGGGTTTCGTGTGAT-1", "d15.data_CTCCTTTTCTGCAGCG-1", "d15.data_TGCTGAATCCACAGGC-1", "d15.data_TTGTGTTCATTGCCTC-1", "d15.data_ACAGGGAAGCGAGGAG-1", "d15.data_GTAACCAGTTTAGAGA-1", "d15.data_CAGGCCAGTACAGTAA-1", "d15.data_GTCGAATGTCCCGGTA-1", "d15.data_CAGATACTCATTGAGC-1", "d15.data_GAAGGGTTCGCTTACC-1", "d15.data_GTCGTTCAGTTTGGCT-1", "d15.data_CGTGATAAGTCTCGTA-1", "d15.data_GACACGCTCAAAGGTA-1", "d15.data_ATTACCTTCGCGTGCA-1", "d15.data_ACCCTTGGTGCGTCGT-1", "d15.data_GTCTAGACAGGCACTC-1", "d15.data_ACGTTCCAGTTACTCG-1", "d15.data_AGACTCATCCATATGG-1", "d15.data_TTCTAGTGTCTCAAGT-1", "d15.data_CGCGTGATCTAGACCA-1", "d15.data_GCCGATGCACATGTTG-1", "d15.data_TGTCCACCAGTAACGG-1", "d15.data_TATCGCCCAGACGGAT-1", "d15.data_ATCGTGAGTATAGGGC-1", "d15.data_CGAGGAAAGTATGTAG-1", "d15.data_CTCAATTGTGCCTGAC-1", "d15.data_ACCTGAAAGAGATGCC-1", "d15.data_TGTTCTACACTTCATT-1", "d15.data_ACCAAACGTCGAAGCA-1", "d15.data_CTCAGTCCAACTTCTT-1", "d15.data_CATCGGGTCCTGATAG-1", "d15.data_AGTCATGAGATGGTCG-1", "d15.data_TCTTAGTCAGAACGCA-1", "d15.data_GACCAATTCAGACTGT-1", "d15.data_GGTCTGGGTTGTGTTG-1", "d15.data_ATGAGTCAGTTTCGAC-1", "d15.data_GAAGGGTTCTACCACC-1", "d15.data_ATGAGTCAGTTTGGCT-1", "d15.data_TGGTGATGTATTTCGG-1", "d15.data_AAATGGAGTATGAGGC-1", "d15.data_AAAGAACGTTGCCGAC-1", "d15.data_TTCGCTGCATGACGGA-1", "d15.data_GAGCTGCGTATTGGCT-1", "d15.data_CGGACACAGCTATCCA-1", "d15.data_GGTGAAGTCAGCGTCG-1", "d15.data_ATTTACCGTCATCGCG-1", "d15.data_TGGGCGTAGAAACCAT-1", "d15.data_TATCTGTTCGCCAATA-1", "d15.data_TTGGATGAGAGTTCGG-1", "d15.data_GATGCTAAGTATGGCG-1", "d15.data_TTTACGTCAAACGTGG-1", "d15.data_GTTACCCAGTTTGGCT-1", "d15.data_TATGTTCAGTTAGTGA-1", "d15.data_GTCATCCTCTAACACG-1", "d15.data_TATCAGGGTTGCCAAT-1", "d15.data_GCTACCTAGATGTAGT-1", "d15.data_AGAAGTATCAAAGGAT-1", "d15.data_GGAAGTGCATAGGAGC-1", "d15.data_GGGTGTCTCCGACGGT-1", "d15.data_ACATCGAGTCCCGCAA-1", "d15.data_TTTGACTCAACGACAG-1", "d15.data_CTCCACATCCCAGGAC-1", "d15.data_CAGGTATCAACCACAT-1", "d15.data_AATGGAAGTACTAACC-1", "d15.data_TAGTGCATCTGCTCTG-1", "d15.data_CTGCGAGAGAGGATCC-1", "d15.data_GAGGGATGTTCAAACC-1", "d15.data_TATCTTGTCAAACCTG-1", "d15.data_AGCATCAAGCAGGTCA-1", "d15.data_GGGACTCCACTCACTC-1", "d15.data_TGAGCGCAGAAACTGT-1", "d15.data_TGCTCCATCTCCACTG-1", "d15.data_GAGTGAGCACCGCTGA-1", "d15.data_GCTACCTGTCTTAGTG-1", "d15.data_TATCTTGCACTTGGCG-1", "d15.data_TCATTCACACGTACAT-1", "d15.data_GCACGGTGTGGCTGCT-1", "d15.data_TTCAGGAGTGCAATGG-1", "d15.data_TTGTGGAAGCTTTCTT-1", "d15.data_CAGCACGCAAGCGCAA-1", "d15.data_ATTCATCGTACAGCGA-1", "d15.data_TGACTCCTCTCATTGT-1", "d15.data_GTCGCGAGTACATTGC-1", "d15.data_GTTTGGAGTGTGACCC-1", "d15.data_AGCTCAAGTCCGACGT-1", "d15.data_ACGGGTCTCGCTTGAA-1", "d15.data_AACAAAGGTACGAGTG-1", "d15.data_CCACACTCACAAGGTG-1", "d15.data_CACCAAAAGGCTTAAA-1", "d15.data_AGAGAATAGCAACAAT-1", "d15.data_CTCACTGCAAGTGCTT-1", "d15.data_GGAGATGTCCTCGCAT-1", "d15.data_TAGGTTGTCAAAGCCT-1", "d15.data_TTGCGTCCAAGGACAC-1", "d15.data_TCAAGACTCCGGTTCT-1", "d15.data_TTCTAACCAACGCCCA-1", "d15.data_TTCTGTAGTACAAGTA-1", "d15.data_GTCTAGAAGCCTGACC-1", "d15.data_ATCACGAAGTAGGATT-1", "d15.data_CTTGATTGTGCACATT-1", "d15.data_CCTCATGCACTTGAAC-1", "d15.data_TTACGTTCAAGACCGA-1", "d15.data_GGGTGAATCCGTAGGC-1", "d15.data_GGCAGTCAGAATTCAG-1", "d15.data_TTCTAACTCTGCATAG-1", "d15.data_GTGGTTAGTGCACATT-1", "d15.data_GCGGATCTCTGAGGTT-1", "d15.data_GAGTTTGGTACACTCA-1", "d15.data_ATCGCCTTCAAATGCC-1", "d15.data_GCAGGCTTCGTGGACC-1", "d15.data_GTGTTAGAGTTGCATC-1", "d15.data_CTGCGAGTCTCGTTTA-1", "d15.data_CGATCGGAGGAAAGTG-1", "d15.data_GTGACGCTCCATGCAA-1", "d15.data_TGTTCTAAGCATAGGC-1", "d15.data_CCTCAACTCCACCTCA-1", "d15.data_AGTGATCTCGATCCCT-1", "d15.data_CGAATTGAGACTCAAA-1", "d15.data_TAACGACGTCAACCAT-1", "d15.data_CTGCATCGTACGCTAT-1", "d15.data_CATACAGGTGGGTATG-1", "d15.data_CTACTATTCTAGGCCG-1", "d15.data_GGAGGATCACACCTTC-1", "d15.data_TGCTCGTCAAGTGCTT-1", "d15.data_TGATCTTCAACCGACC-1", "d15.data_TTGTTTGCATTGCTGA-1", "d15.data_ACTCCCAAGTAGGTTA-1", "d15.data_TCGGTCTTCATGGATC-1", "d15.data_GAAACCTCAAATGGCG-1", "d15.data_ACTGTCCGTTCGATTG-1", "d15.data_TGATCTTGTCACTCGG-1", "d15.data_CACTTCGTCGACCAAT-1", "d15.data_ACAGAAAGTGACTCTA-1", "d15.data_CGTAGTACAGAACGCA-1", "d15.data_CGATCGGGTGCATGTT-1", "d15.data_AATGAAGGTCTCTCAC-1", "d15.data_ATTCTACGTGATTAGA-1", "d15.data_GTGCTGGGTGGACCTC-1", "d15.data_CGAGGCTTCTAGTACG-1", "d15.data_TTCACCGGTCATCACA-1", "d15.data_TTGCGTCAGGACCCAA-1", "d15.data_ATCACAGAGGGCATGT-1", "d15.data_TGCAGGCTCTAGTGTG-1", "d15.data_GTGCTGGTCAATCTTC-1", "d15.data_CATCGTCCAGCCTACG-1", "d15.data_AACCCAAAGAAATTCG-1", "d15.data_CCGCAAGTCGACCCAG-1", "d15.data_ACAAAGAGTGAGATCG-1", "d15.data_ATACTTCAGTCTAGAA-1", "d15.data_TTTCCTCAGGCCTGAA-1", "d15.data_CAGATACTCAGAGTTC-1", "d15.data_TTACCGCGTGGAACCA-1", "d15.data_CATTCTAGTTTGAAAG-1", "d15.data_TCATTTGGTCTTACAG-1", "d15.data_ATGTCCCTCCTTCTGG-1", "d15.data_GAAGGGTTCTTCCGTG-1", "d15.data_CAGCCAGAGTCTAGAA-1", "d15.data_ACTTTCAAGGTGGCTA-1", "d15.data_TTCCGGTCATGCGGTC-1", "d15.data_GGGCTACTCTAGTGTG-1", "d15.data_ACACGCGGTCAGGAGT-1", "d15.data_ATCCGTCCAGCGATTT-1", "d15.data_CCACCATAGCCTCTGG-1", "d15.data_TGGAACTCAAAGAGTT-1", "d15.data_CCAATGATCCGTGACG-1", "d15.data_ACTTAGGGTAGAGATT-1", "d15.data_AGACACTTCACGGAGA-1", "d15.data_ACTTTCACAGAGCTAG-1", "d15.data_AGCGTATTCCTAACAG-1", "d15.data_GAAGCGATCATTGCGA-1", "d15.data_TGGAACTTCTATCGCC-1", "d15.data_GTTGTGATCCATTCGC-1", "d15.data_CATAAGCAGGGCCTCT-1", "d15.data_GAGTGAGGTTCAAGTC-1", "d15.data_GTAATCGCAACCGATT-1", "d15.data_TCGGTCTAGTGATAAC-1", "d15.data_GCTTGGGGTGATTAGA-1", "d15.data_TTTGTTGAGAATAACC-1", "d15.data_GATCACAAGGATCATA-1", "d15.data_TACCGGGTCTAGCCAA-1", "d15.data_CACAACATCATCACAG-1", "d15.data_CTTGAGACAGGAAGTC-1", "d15.data_TTTACCATCGTAGCCG-1", "d15.data_GACAGCCAGAACTGAT-1", "d15.data_CTTCCTTCAATCCTAG-1", "d15.data_AGATCCAGTGTAGTGG-1", "d15.data_CACGTTCTCCGCACTT-1", "d15.data_CCCTCTCCATGATCTG-1", "d15.data_ACTGCAAGTTTCCCAC-1", "d15.data_CCTCAGTCAACCGGAA-1", "d15.data_ACACGCGCACACTGGC-1", "d15.data_AAGATAGGTTTCGTAG-1", "d15.data_CATACAGCAGACAATA-1", "d15.data_GGAGGATAGTATGCAA-1", "d15.data_CATGCAAGTGTAAACA-1", "d15.data_GCCAGCACAACTCATG-1", "d15.data_ACATCGATCATTGCTT-1", "d15.data_GTTGAACTCTGTCCCA-1", "d15.data_AAATGGACAGGTGACA-1", "d15.data_CATACTTCAGACCCGT-1", "d15.data_GTCTTTAAGACTACCT-1", "d15.data_CTCAATTTCATCCCGT-1", "d15.data_TAGAGTCTCAGAATAG-1", "d15.data_ATTCAGGCAAGTTCGT-1", "d15.data_AGGCATTCATCCGCGA-1", "d15.data_AGGCTGCAGCAATAGT-1", "d15.data_ACTTATCAGGTTCTAC-1", "d15.data_ACTATTCTCGGTTAGT-1", "d15.data_CAACAGTGTACTGGGA-1", "d15.data_AGGCTGCCACCATTCC-1", "d15.data_CTGCCTAGTTGCTGAT-1", "d15.data_TCCATCGCATACACCA-1", "d15.data_AGGGCCTGTATCGTAC-1", "d15.data_ATCGCCTGTCTTGCGG-1", "d15.data_GTATTTCGTGCATGAG-1", "d15.data_ATCCCTGAGCGTTCAT-1", "d15.data_TACCTCGTCCGAAGGA-1", "d15.data_TGGTACATCTACGGTA-1", "d15.data_CATTCTACATGGATCT-1", "d15.data_GGTGAAGAGTACCGGA-1", "d15.data_CAACCAAAGATTCGAA-1", "d15.data_GGAGAACAGTTGCGAG-1", "d15.data_CTCCAACGTATGGAGC-1", "d15.data_ACTGATGCACCTGAAT-1", "d15.data_ATGCCTCTCACAGAGG-1", "d15.data_CGAGTGCGTACCGCGT-1", "d15.data_ATGATCGCACTATGTG-1", "d15.data_CATACCCCATCCGATA-1", "d15.data_CCGTTCATCTCATGCC-1", "d15.data_AGACACTCAGACATCT-1", "d15.data_TGTTGGAGTTACGCCG-1", "d15.data_AGTGATCTCCTGATAG-1", "d15.data_TTGAGTGGTTACGGAG-1", "d15.data_CATGAGTCACTAGAGG-1", "d15.data_AACCAACGTGAATTAG-1", "d15.data_AGAAATGTCTTTCCAA-1", "d15.data_GTTGTGAGTCATGACT-1", "d15.data_TCAGTGACACACGTGC-1", "d15.data_CTTCTCTTCTCTGCTG-1", "d15.data_GTTGAACCAGTTGCGC-1", "d15.data_TGAGACTGTCGGCCTA-1", "d15.data_CACAGGCGTGATGGCA-1", "d15.data_GAGACCCCATGACTGT-1", "d15.data_GTAACACGTGAGAACC-1", "d15.data_CATCGCTTCCTACGAA-1", "d15.data_GTTGTCCAGACTAGAT-1", "d15.data_ACTGTCCAGCCAGAGT-1", "d15.data_CATCCCAAGGCTAACG-1", "d15.data_TACGTCCCAGTGGCTC-1", "d15.data_TCGAAGTCACGCGTCA-1", "d15.data_GGGATGAGTTGCATCA-1", "d15.data_TGACAGTAGTTCCATG-1", "d15.data_GTAACACCATTAAGCC-1", "d15.data_GAATCGTCATCCTCAC-1", "d15.data_GTATTGGCAATCAGCT-1", "d15.data_GTCCACTTCACAATGC-1", "d15.data_TTGAGTGCAGTTTGGT-1", "d15.data_GGGAGATGTTAACCTG-1", "d15.data_GAGCTGCTCATGGTAC-1", "d15.data_ACCACAATCAAGCCAT-1", "d15.data_TGCTGAAAGTCATCGT-1", "d15.data_GCTTTCGGTGGCTACC-1", "d15.data_ACTCCCACAAATCAAG-1", "d15.data_CATGGATCATGATCTG-1", "d15.data_CTTTCGGCACACGCCA-1", "d15.data_GAGGGATTCGAGCTGC-1", "d15.data_CCCTCTCGTGCCAAGA-1", "d15.data_CCTCAACGTTGCTAGT-1", "d15.data_TCCACCAGTCCCTGAG-1", "d15.data_CATTCATTCTACTATC-1", "d15.data_AAAGGGCTCGAGATGG-1", "d15.data_AGAACCTCAGCTTTCC-1", "d15.data_GTAACCATCAGCTTGA-1", "d15.data_CCTCCAATCAACGAGG-1", "d15.data_AGGTCTATCTGCTTAT-1", "d15.data_AGGGCCTCATCCTTCG-1", "d15.data_TGTAGACCACTTGTGA-1", "d15.data_GGACGTCAGGAAGAAC-1", "d15.data_TTTGATCGTACGATGG-1", "d15.data_CTCTCAGAGGTATTGA-1", "d15.data_AGGACGAAGGGAGGGT-1", "d15.data_ACAGCCGCAACCCGCA-1", "d15.data_TCACGCTAGTTCCGTA-1", "d15.data_CCGCAAGGTGGAAATT-1", "d15.data_ATCGGCGTCACTCTTA-1", "d15.data_AACGAAACAGACCAAG-1", "d15.data_GTGCTGGCACCGCTAG-1", "d15.data_TCTTTGATCGTCAACA-1", "d15.data_CGAAGGAGTTTGACAC-1", "d15.data_GATGACTCATCATCTT-1", "d15.data_CCTTTGGCAATTCTTC-1", "d15.data_GTGCTTCAGATGAATC-1", "d15.data_ATAGGCTCATGACGAG-1", "d15.data_ATGACCAGTGCTTCAA-1", "d15.data_CGGTCAGTCGAACCTA-1", "d15.data_GTCGCGAGTCAGTTTG-1", "d15.data_TTCTAGTCACCTCTAC-1", "d15.data_ACATCGAGTTGTGCAT-1", "d15.data_TCCTCCCGTAGCACGA-1", "d15.data_GTCTACCTCTTCCAGC-1", "d15.data_GACTATGGTGTTTCTT-1", "d15.data_CAAGGGAAGCAAACAT-1", "d15.data_TGAGACTTCGACCAAT-1", "d15.data_ATCCTATCAAGCAATA-1", "d15.data_GTTGTAGCACAGCCAC-1", "d15.data_ATCGGATGTTATCCAG-1", "d15.data_ATGCGATGTGCTTCAA-1", "d15.data_TACCCGTCACCCTATC-1", "d15.data_GATCGTACACTGTTCC-1", "d15.data_TGCTTCGGTTCGTTCC-1", "d15.data_GACTCAACATCAGCAT-1", "d15.data_TTCTAGTGTGGACCAA-1", "d15.data_AGATGAAAGCGAACTG-1", "d15.data_GCATCTCCAAATACAG-1", "d15.data_ACTCCCAAGGCACCAA-1", "d15.data_GGGAGTAGTGTGTCCG-1", "d15.data_GATTTCTTCATGGGAG-1", "d15.data_ATTTACCCAAACGAGC-1", "d15.data_GTAATCGTCCATAGGT-1", "d15.data_GGAAGTGGTTACGGAG-1", "d15.data_TCATTTGAGTATGCAA-1", "d15.data_ATGAGGGTCCACAGCG-1", "d15.data_GGTGTCGAGGCCTAAG-1", "d15.data_TTCCTCTGTGCATGTT-1", "d15.data_CTCCTCCTCAACCGAT-1", "d15.data_GTCGTAAAGTTATGGA-1", "d15.data_TTCCTCTCAACTGGTT-1", "d15.data_ATTATCCGTACAGCGA-1", "d15.data_TTCCTAATCCATTCGC-1", "d15.data_TACCCACCACTTGTGA-1", "d15.data_GATTGGTTCCAAGAGG-1", "d15.data_AGGACGACACTGATTG-1", "d15.data_GATTCGACAAATGGAT-1", "d15.data_TTTCATGGTATGGTTC-1", "d15.data_GAGGCCTTCTATTTCG-1", "d15.data_AGGTAGGAGACATCAA-1", "d15.data_CCTACGTTCGTCAACA-1", "d15.data_ATCATTCCAGCACAAG-1", "d15.data_TTGTGTTCAGTCAACT-1", "d15.data_GTAATCGGTTACGTAC-1", "d15.data_AGGTTACAGCTGCCAC-1", "d15.data_CATCAAGTCGGCCCAA-1", "d15.data_AATGGAACAATCGTCA-1", "d15.data_CAAAGAACAACCGTAT-1", "d15.data_TGATTTCAGAATCCCT-1", "d15.data_GATAGCTTCGTTTACT-1", "d15.data_TCGTAGATCAGCGTCG-1", "d15.data_ACTATTCGTTTCCCAC-1", "d15.data_GCGATCGTCAAGATAG-1", "d15.data_AAAGAACCACATAACC-1", "d15.data_ATAGACCGTGGCCTCA-1", "d15.data_CGCATAAGTTGGAGAC-1", "d15.data_TGATGGTTCCTACTGC-1", "d15.data_CTTTCGGGTAATTAGG-1", "d15.data_AACCTTTGTGCACGCT-1", "d15.data_TGTGATGTCCAAGCAT-1", "d15.data_TGCTGAAGTCCTGGGT-1", "d15.data_ATCCACCCAGAACTTC-1", "d15.data_AGTGATCCAGGTTCCG-1", "d15.data_CGCATGGTCTTGGGCG-1", "d15.data_GACAGCCAGATACCAA-1", "d15.data_TTCGGTCTCCTCACCA-1", "d15.data_AAGTGAAGTTTCCAAG-1", "d15.data_ACAGGGAGTCAAATCC-1", "d15.data_TGGTACAAGGCAGTCA-1", "d15.data_AGGTAGGTCCTCTAAT-1", "d15.data_GTAGCTAAGTAATTGG-1", "d15.data_ACTGTGAAGCAAGTGC-1", "d15.data_TCGGGACTCCGTCCTA-1", "d15.data_TGACCCTGTGCCGTAC-1", "d15.data_TGTGCGGCACAACGCC-1", "d15.data_AACGTCATCGTGGCGT-1", "d15.data_CTCCAACCAGAGGCTA-1", "d15.data_TATCGCCTCTCCTGAC-1", "d15.data_CCTCATGTCAGAGCAG-1", "d15.data_CCACAAAAGTTAGTGA-1", "d15.data_GTCCACTGTTTCGTGA-1", "d15.data_TGGAGAGCAAGTATCC-1", "d15.data_CGATGCGTCAGGAACG-1", "d15.data_CAGTTCCTCGCATTAG-1", "d15.data_TCTTTGATCGTAGAGG-1", "d15.data_AGAAATGAGGCTTTCA-1", "d15.data_CCTAACCAGATCCCAT-1", "d15.data_GCGGAAATCGGTGTTA-1", "d15.data_GGTGAAGCAATAGAGT-1", "d15.data_GGAACCCCATGCCATA-1", "d15.data_TGCATGAAGACGCCAA-1", "d15.data_GATCAGTAGCAGGCTA-1", "d15.data_GTAGATCTCTGGTGGC-1", "d15.data_CCTACGTCAGTTGAAA-1", "d15.data_CTCACTGCATCGGATT-1", "d15.data_ACCTACCGTATGCAAA-1", "d15.data_TTACAGGTCCGATAAC-1", "d15.data_CTCAACCTCGACCACG-1", "d15.data_GCTGAATTCTAGAACC-1", "d15.data_GAGGGATTCTACACTT-1", "d15.data_TCATTACCACCTTCCA-1", "d15.data_CGATGGCGTCAACCAT-1", "d15.data_GGGAGTATCAGATTGC-1", "d15.data_GCTCAAAGTTCGGGTC-1", "d15.data_TTACCGCCACAGGATG-1", "d15.data_TGTTGAGGTCGTTTCC-1", "d15.data_CGTTGGGTCGTAACAC-1", "d15.data_GAACACTGTGCGACAA-1", "d15.data_GTACAGTAGCCACAAG-1", "d15.data_TTGGGATAGCACAAAT-1", "d15.data_TCTTTGAAGGTCTACT-1", "d15.data_TCATTACAGACCATAA-1", "d15.data_TCCTCGAAGCAAATCA-1", "d15.data_AGGAGGTTCCCTGTTG-1", "d15.data_AACACACAGCACGATG-1", "d15.data_TTTCCTCTCAAGTCTG-1", "d15.data_GAAGTAATCACCATCC-1", "d15.data_ACGGTTAGTAATGCGG-1", "d15.data_TTAGGCAAGGTCTACT-1", "d15.data_TACTTACAGAATAGTC-1", "d15.data_AGTCTCCAGCAGCCTC-1", "d15.data_AGCATCAGTGGCTCTG-1", "d15.data_TGTGATGCACAAGCAG-1", "d15.data_CTGGCAGGTAGTATAG-1", "d15.data_TACCTCGGTTTGAACC-1", "d15.data_TTGCATTCATGGCTGC-1", "d15.data_ATTTCTGGTGCGTGCT-1", "d15.data_GTATTGGGTGCCGTAC-1", "d15.data_CCGTAGGCATGTTCGA-1", "d15.data_TTTACTGTCGTCAGAT-1", "d15.data_CTTCAATCAATTTCTC-1", "d15.data_TATCCTATCTAGTGTG-1", "d15.data_ACTTCGCAGCTAGCCC-1", "d15.data_AGGATCTAGCTTGTTG-1", "d15.data_GTGGAGACAAATGCTC-1", "d15.data_GTAGTACTCTCTCTAA-1", "d15.data_TTAGTCTGTCTGTGCG-1", "d15.data_CCATCACTCTCTGAGA-1", "d15.data_TGAGCATGTAGTATAG-1", "d15.data_TGTAGACCATTGCAAC-1", "d15.data_ATCACGACAGCTTCCT-1", "d15.data_GATTCGATCAATCAGC-1", "d15.data_TTGAACGGTATTGAGA-1", "d15.data_TCATTACAGTGGAAAG-1", "d15.data_GACTCTCCAAGACTGG-1", "d15.data_GTCTGTCGTTAACAGA-1", "d15.data_GCATCGGCAAACTGCT-1", "d15.data_CGATGCGTCTTTCCGG-1", "d15.data_ACTTCGCCATACAGCT-1", "d15.data_TTGGGTACAACTGCTA-1", "d15.data_TCATGTTCATGGCACC-1", "d15.data_GGTAACTAGTATGACA-1", "d15.data_CCCGAAGGTTAACAGA-1", "d15.data_GTCATCCCACACGCCA-1", "d15.data_GTATTGGCACTCTCGT-1", "d15.data_CTATCCGTCAGTGTCA-1", "d15.data_GTCGCGAAGCTAATGA-1", "d15.data_GGACGTCCAGGCAATG-1", "d15.data_AGGTCTAAGATGCAGC-1", "d15.data_GTTACAGGTATAGGAT-1", "d15.data_TTGGTTTTCGATACGT-1", "d15.data_ATACCGATCTCAATCT-1", "d15.data_GGAGCAACACATATGC-1", "d15.data_CGGGCATAGGACTATA-1", "d15.data_ATTTACCAGCGGTATG-1", "d15.data_CTGAATGAGTTGCTGT-1", "d15.data_TCATGTTGTTATCCAG-1", "d15.data_TCCAGAACAGTCAGCC-1", "d15.data_CCTCTAGTCATACGAC-1", "d15.data_TCGCAGGCACAAGCTT-1", "d15.data_AGGGTGAAGGTATTGA-1", "d15.data_ACATCCCGTGCAACAG-1", "d15.data_ATCACTTAGGGAACAA-1", "d15.data_TTCTAACCAAGTACCT-1", "d15.data_ATCCACCTCGTAGGAG-1", "d15.data_AACCTGAAGAGGTGCT-1", "d15.data_GTAGGAGTCCTCGCAT-1", "d15.data_TGAGGGACACGTGTGC-1", "d15.data_CTGCGAGCACTCAAGT-1", "d15.data_GCGGATCTCTCGACGG-1", "d15.data_GTGTGGCCACTCCGGA-1", "d15.data_TACCGAAAGCCTTGAT-1", "d15.data_TCCACGTAGACTAGAT-1", "d15.data_GGTTGTAGTTTAGTCG-1", "d15.data_TTACAGGCATAACTCG-1", "d15.data_ATTATCCCACTGCGTG-1", "d15.data_CGGAATTAGGGATCAC-1", "d15.data_ACACTGACAAGGCAAC-1", "d15.data_CGGAACCGTCAGACTT-1", "d15.data_GTTGTCCTCACCTGGG-1", "d15.data_CCTGCATCAACGTAAA-1", "d15.data_ATGTCCCAGGTAATCA-1", "d15.data_GAATCACGTACTGCGC-1", "d15.data_TATATCCGTTCAAAGA-1", "d15.data_CATAAGCCAAACCACT-1", "d15.data_GCACTAAAGCGTCGAA-1", "d15.data_ATGCCTCAGTACGAGC-1", "d15.data_ATGACCAGTTGTGTAC-1", "d15.data_TGGTAGTTCAAGATAG-1", "d15.data_GATTCGACACTCCACT-1", "d15.data_TCGACCTAGATCACCT-1", "d15.data_TCACGGGAGTATTGCC-1", "d15.data_CTCCACACACACGGTC-1", "d15.data_GACATCAGTTTCGACA-1", "d15.data_ATCACTTAGACAGTCG-1", "d15.data_TCATCCGGTTAAGTCC-1", "d15.data_CCTAAGATCTTCGGAA-1", "d15.data_ACTATTCTCTAGTCAG-1", "d15.data_TCCCATGTCTGCCCTA-1", "d15.data_AGTCATGCACAATGCT-1", "d15.data_CCTGTTGTCTCCAATT-1", "d15.data_GTACAGTAGGACAGTC-1", "d15.data_GCGAGAACATATGAAG-1", "d15.data_GATGATCTCCGAGATT-1", "d15.data_TTCTCTCGTCTTTCAT-1", "d15.data_GATAGAACAAACACGG-1", "d15.data_GAAGCGACATTCAGGT-1", "d15.data_TACCCGTTCGACGATT-1", "d15.data_GAATCGTTCGACCTAA-1", "d15.data_ACATGCATCCTGGGTG-1", "d15.data_CTACGGGGTGTCTTCC-1", "d15.data_AGACCCGGTGGTCCCA-1", "d15.data_CGACAGCTCTGCATGA-1", "d15.data_CTCATGCAGCAACAGC-1", "d15.data_GCACGTGCAAATCGGG-1", "d15.data_CGAGGAAGTATGCGGA-1", "d15.data_TCATACTTCCGAGGCT-1", "d15.data_CCCTCAATCGCTGTTC-1", "d15.data_CCAAGCGAGAAAGCGA-1", "d15.data_GAGGCCTCATCCTGTC-1", "d15.data_GCCAGCACACCAGTAT-1", "d15.data_ACTTTCAAGAAGCCTG-1", "d15.data_CCTCTAGGTGGTCTAT-1", "d15.data_AGGAGGTTCAGCTCTC-1", "d15.data_TGGAGAGAGGACAGTC-1", "d15.data_GCCGTGATCGGCCAAC-1", "d15.data_TGCTGAAAGACGCAGT-1", "d15.data_TGAATCGCATTGCCTC-1", "d15.data_AGCCACGTCAGACCCG-1", "d15.data_TCATGCCCACAAAGTA-1", "d15.data_TGTCCACAGCTTAGTC-1", "d15.data_CATCGGGAGAAAGTCT-1", "d15.data_CGAAGGACATTGACCA-1", "d15.data_AGCATCAAGGTACTGG-1", "d15.data_TGTGTGATCTGTCGTC-1", "d15.data_CCACGAGTCTCACCCA-1", "d15.data_GTTGCGGCAGCTATAC-1", "d15.data_ATCCACCGTAGTACGG-1", "d15.data_ACGGTTACACCGTACG-1", "d15.data_TACCCGTTCAGGCGAA-1", "d15.data_GACTGATGTAACAGTA-1", "d15.data_TTGCTGCTCTATGCCC-1", "d15.data_AAGAACAGTTGTCCCT-1", "d15.data_CAGATACCATTCCTCG-1", "d15.data_ACAGGGATCCATCTAT-1", "d15.data_ATACCTTAGTTTGCTG-1", "d15.data_GTCACGGGTCGCACGT-1", "d15.data_TTCACCGCACCGTGAC-1", "d15.data_TACCCGTGTTTAGTCG-1", "d15.data_GGCTTGGCAGTATACC-1", "d15.data_ATCGTCCTCGCTTACC-1", "d15.data_CTGCCTACACATACTG-1", "d15.data_CTTGATTAGACTACGG-1", "d15.data_TGGTTAGAGTATTGCC-1", "d15.data_CTTTCGGAGACATGCG-1", "d15.data_TAGACTGTCTAGTTCT-1", "d15.data_GACACGCTCACGATCA-1", "d15.data_TTACGCCGTCGTTATG-1", "d15.data_GATGACTTCCGAAGGA-1", "d15.data_GATGACTTCTGGGATT-1", "d15.data_GGGCTCAGTAGAATAC-1", "d15.data_ACATTTCTCATCCTGC-1", "d15.data_GTAGAAATCCGATGCG-1", "d15.data_GTGGCGTCAATGAGCG-1", "d15.data_GCCCGAAAGCATGGGT-1", "d15.data_AGGATCTAGCATTGTC-1", "d15.data_TGTTTGTCAGTGGTGA-1", "d15.data_AATGCCACAGACCAAG-1", "d15.data_CTACCTGGTTCTTAGG-1", "d15.data_TGCGGGTCAGCGTAGA-1", "d15.data_ATTTACCAGCGGACAT-1", "d15.data_ACTGATGGTTCTGACA-1", "d15.data_CGTTGGGCAGAAGCTG-1", "d15.data_GACCAATTCAGAGTGG-1", "d15.data_TCACACCAGTACAACA-1", "d15.data_CGGACACAGTCCGTCG-1", "d15.data_TCTCTGGGTTGGAGAC-1", "d15.data_GTCCTCATCAAGAATG-1", "d15.data_TCAGGGCAGGTAGCAC-1", "d15.data_TTCCTCTGTCGCAGTC-1", "d15.data_CGAGGCTAGTAGAGTT-1", "d15.data_CTCAACCCAGCCGTCA-1", "d15.data_AATGGAACACAGCCTG-1", "d15.data_CTTGATTCACGATAGG-1", "d15.data_GAGACCCGTAGACAAT-1", "d15.data_TTTGGAGGTTAAACAG-1", "d15.data_AGATAGATCGTGGCTG-1", "d15.data_CGTTCTGTCCTCTAAT-1", "d15.data_AACCAACCAGGATCTT-1", "d15.data_CTCCACATCGCGTAGC-1", "d15.data_CAGCCAGAGGTGATAT-1", "d15.data_AAGACAAAGGGCCCTT-1", "d15.data_CGCAGGTCACCCTATC-1", "d15.data_GGAATCTTCTCAACGA-1", "d15.data_TATATCCGTCTTGCGG-1", "d15.data_TTCTTGAAGATCGCCC-1", "d15.data_GGGTGAACAACACGAG-1", "d15.data_GAGTTACGTATACGGG-1", "d15.data_GTAGGAGGTTTCGTAG-1", "d15.data_CTGTATTCATGACTAC-1", "d15.data_TGCTTGCCATAACCCA-1", "d15.data_CATTCATTCAGGAAAT-1", "d15.data_CAACAGTTCGAAACAA-1", "d15.data_TACTGCCAGTTACTCG-1", "d15.data_GATGAGGTCAAGAAAC-1", "d15.data_TGTGGCGAGGTACAGC-1", "d15.data_AAAGGATGTCGTAATC-1", "d15.data_AGTGTTGAGTTAGAAC-1", "d15.data_TGATCAGTCAAAGGTA-1", "d15.data_AAGCGTTTCCCGTAAA-1", "d15.data_TATCAGGGTGACCGAA-1", "d15.data_GCACATAGTACGGCAA-1", "d15.data_CACAGGCAGGCTTCCG-1", "d15.data_TAACACGAGGCTATCT-1", "d15.data_AGGATCTAGCGAATGC-1", "d15.data_CTCGAGGTCGCAGAGA-1", "d15.data_CTGGACGGTACTCAAC-1", "d15.data_CCTTTGGCAATGTCTG-1", "d15.data_ATTCCATTCTAGTACG-1", "d15.data_ACTTTGTGTAGAATAC-1", "d15.data_TCAGTTTAGGCTAGCA-1", "d15.data_TCATTCAAGAATAGTC-1", "d15.data_CTCTCGAGTCAAAGAT-1", "d15.data_AGACAGGGTCGTACAT-1", "d15.data_TGAGCGCCACAGTCAT-1", "d15.data_GAGTCTAGTTGCCAAT-1", "d15.data_AACCATGGTCATAGTC-1", "d15.data_AGCCAGCTCGTTAGTG-1", "d15.data_GCACATATCGTCTAAG-1", "d15.data_ACGTAGTTCGACACCG-1", "d15.data_TACTTACCACAAGCAG-1", "d15.data_GCCTGTTTCCAACCGG-1", "d15.data_GAGTCATCACCACTGG-1", "d15.data_AGGTCATCAGATCCTA-1", "d15.data_GGCAGTCTCGAACCTA-1", "d15.data_TCTGGCTAGAATCGTA-1", "d15.data_CGTTCTGGTTGGTAGG-1", "d15.data_ACACCAAGTATGCTTG-1", "d15.data_ACTTATCGTTCTGACA-1", "d15.data_AACAACCCAAATGGCG-1", "d15.data_TGATTCTCACCGTGGT-1", "d15.data_CTCACTGCACTGGATT-1", "d15.data_ATTCACTTCAGCTGTA-1", "d15.data_ACGATGTCACCTGAAT-1", "d15.data_CCCTCAAAGTAGCCAG-1", "d15.data_TCCACCAAGCCAAGCA-1", "d15.data_GATCAGTTCTCCCATG-1", "d15.data_CAACCAAGTACAGAGC-1", "d15.data_GAAATGAGTCCAGCAC-1", "d15.data_AGATAGAGTAATGCTC-1", "d15.data_CGAGTTAAGAGTATAC-1", "d15.data_GCAGCTGTCTCGCAGG-1", "d15.data_CCACACTCACCCTGTT-1", "d15.data_AAACCCACACCAGTTA-1", "d15.data_ACGTACAAGGCAGGGA-1", "d15.data_ATTATCCAGTACTGTC-1", "d15.data_CAGGCCACATGACGTT-1", "d15.data_GTAGAGGCATCGAAGG-1", "d15.data_AACGTCAAGCCATTTG-1", "d15.data_GCGTTTCCACCCAATA-1", "d15.data_TGGGCTGTCCATTGTT-1", "d15.data_ATCGGATGTATCTTCT-1", "d15.data_TTGGGTACACAACGAG-1", "d15.data_TGGGAAGTCTCCGAGG-1", "d15.data_TCATCCGCACGACGCT-1", "d15.data_TTTGGAGAGATACTGA-1", "d15.data_TTCTCTCCAGCGTATT-1", "d15.data_ACAACCAAGGCCTGAA-1", "d15.data_GGCTGTGAGAGCCCAA-1", "d15.data_TTCGATTCAGTAACCT-1", "d15.data_GTCTACCCAGTTTCAG-1", "d15.data_GGAGGATTCGGTCAGC-1", "d15.data_GGGATGATCATCACTT-1", "d15.data_TCGACCTCAAATGAGT-1", "d15.data_GACAGCCCAACTCGTA-1", "d15.data_CATTGTTGTAGAGATT-1", "d15.data_TCCGAAAGTCTAATCG-1", "d15.data_CATCGGGTCACTACGA-1", "d15.data_TCATGTTTCAGTGTGT-1", "d15.data_ACTTATCAGACTGAGC-1", "d15.data_TTCAATCGTAATTGGA-1", "d15.data_GTGGGAACAGTGGTGA-1", "d15.data_ACACTGAGTAATTGGA-1", "d15.data_TATACCTGTTAACAGA-1", "d15.data_AGACCCGTCGTCTACC-1", "d15.data_TAGCACATCCTCGATC-1", "d15.data_CTGCGAGCACGCTGTG-1", "d15.data_ATCATTCAGGATACCG-1", "d15.data_TAGGTACGTACTGACT-1", "d15.data_GGGCCATTCTGAATCG-1", "d15.data_ACCAACACAGCCCACA-1", "d15.data_GTTGAACTCAGCTGAT-1", "d15.data_CACGTGGGTTCGGTAT-1", "d15.data_GACCGTGTCAGATTGC-1", "d15.data_GGAGGATCAAAGCACG-1", "d15.data_AGATCCAAGAAGGTAG-1", "d15.data_TTGACCCCATGACGTT-1", "d15.data_GAGATGGTCACCGGTG-1", "d15.data_CGGAATTCAAGTGATA-1", "d15.data_CCAATTTCACCGTACG-1", "d15.data_GTAGTACCATCCCGTT-1", "d15.data_AGCATCAGTAACGTTC-1", "d15.data_TTCCTTCGTACACGTT-1", "d15.data_CCTCATGGTATGAAGT-1", "d15.data_CAGGGCTTCGACGAGA-1", "d15.data_GAGACTTGTACTGTTG-1", "d15.data_GTAGAGGGTGCACGCT-1", "d15.data_TGAGACTTCTACCCAC-1", "d15.data_GCTCAAACAGTCGGTC-1", "d15.data_TAACACGTCGGAACTT-1", "d15.data_GTCATCCTCTTACGGA-1", "d15.data_AAACGCTCAACTCCAA-1", "d15.data_ACGTAGTCATAGAGGC-1", "d15.data_CATCCCAGTTCAAACC-1", "d15.data_CAGTTAGTCGAGCACC-1", "d15.data_CCGGACACACCTGATA-1", "d15.data_TTCAGGATCTCATTTG-1", "d15.data_CCCTCTCTCTCTCGCA-1", "d15.data_TCACGGGTCGCTACGG-1", "d15.data_GAGGCAACAGAGGACT-1", "d15.data_ACCCTTGTCGAGAATA-1", "d15.data_ATTTACCAGCACTTTG-1", "d15.data_GTCTGTCTCAGGACAG-1", "d15.data_CGGAACCAGCCTCAGC-1", "d15.data_ATGGATCAGCCATCCG-1", "d15.data_GTGAGTTTCCGGCAAC-1", "d15.data_TCCTCGATCGGCCAAC-1", "d15.data_TACACCCGTCATGCAT-1", "d15.data_AGAAGCGCAAACGAGC-1", "d15.data_GCTACCTGTTTGAAAG-1", "d15.data_AAGCCATTCTCCTGAC-1", "d15.data_ACGTAGTTCTGGGCAC-1", "d15.data_GTATTGGTCAACACCA-1", "d15.data_CTGCGAGGTTAGGCCC-1", "d15.data_ATTTACCGTGCCTTTC-1", "d15.data_GCATTAGCAAGCACAG-1", "d15.data_TAAGCCAAGCGACTTT-1", "d15.data_CACGTTCTCGGCGATC-1", "d15.data_TATCTTGTCTGTGCGG-1", "d15.data_CATTGTTTCGCCACTT-1", "d15.data_AGGTAGGTCTGGTGGC-1", "d15.data_GCAGTTAAGGGATCGT-1", "d15.data_TCGCACTGTATCCTCC-1", "d15.data_CCTCACAAGTCTGGAG-1", "d15.data_GACCTTCAGCTTCTAG-1", "d15.data_CAGTGCGTCATTTACC-1", "d15.data_TTTCCTCCACGGCCAT-1", "d15.data_ACAAAGAGTCATCTAG-1", "d15.data_TTTCGATTCCACGAAT-1", "d15.data_TTGGGTATCAGCATTG-1", "d15.data_GAGTTTGCACCGTGGT-1", "d15.data_CTCCACACACACCAGC-1", "d15.data_TTTCCTCTCTGGGAGA-1", "d15.data_GTGGCGTTCGTTTACT-1", "d15.data_GGTGTCGGTCACAGAG-1", "d15.data_TGACAGTTCCTGCCAT-1", "d15.data_TGGGCGTCAAGCGGAT-1", "d15.data_GGGACCTGTGATGAAT-1", "d15.data_CAAGGGAAGGGCTTCC-1", "d15.data_TATTCCAGTAGAGCTG-1", "d15.data_CGAAGTTCAGGTTCCG-1", "d15.data_ACTCTCGAGTCACTAC-1", "d15.data_TCTCAGCAGTGTAGAT-1", "d15.data_ACCACAAGTCTGTAAC-1", "d15.data_TGCTGAACACCGTGGT-1", "d15.data_GCCCGAACAAACCATC-1", "d15.data_GGGTCACGTGACTCGC-1", "d15.data_ACATCCCCAGACATCT-1", "d15.data_ATAGACCCACGTCTCT-1", "d15.data_CATAGACTCCTACACC-1", "d15.data_TACGGTACACACCGCA-1", "d15.data_ACTTTGTTCCCTGGTT-1", "d15.data_GCATCTCGTCCACGCA-1", "d15.data_AGAAGCGAGGTAGATT-1", "d15.data_AACAACCGTGTGAGCA-1", "d15.data_GAACGTTAGCCTCCAG-1", "d15.data_AGATCCAGTTGGTACT-1", "d15.data_TGGGAGAGTACTGTTG-1", "d15.data_TGTCAGACACTCCGAG-1", "d15.data_TTGTTCATCATGCCAA-1", "d15.data_TCACACCCAGTTAAAG-1", "d15.data_CTCTCAGTCCAGCAAT-1", "d15.data_GCGGATCAGGACAGTC-1", "d15.data_TTGGTTTAGCTGCCAC-1", "d15.data_GCTGCAGAGGCTATCT-1", "d15.data_GGTGTTACACCTGATA-1", "d15.data_ACACGCGCAAGTGATA-1", "d15.data_CATCCGTGTTCGGACC-1", "d15.data_TCACATTGTGGCTACC-1", "d15.data_GAACTGTTCGACGATT-1", "d15.data_CCCTAACTCAACGTGT-1", "d15.data_AAACCCAAGGCTCACC-1", "d15.data_ACCCTCAAGTTGTACC-1", "d15.data_TGAATGCCAAAGCACG-1", "d15.data_AGGGCCTTCTGCCTCA-1", "d15.data_AGATCGTAGATACGAT-1", "d15.data_AATCACGGTGTCTCCT-1", "d15.data_AGGTTACCACGTTGGC-1", "d15.data_TTCTAACAGGTGAGCT-1", "d15.data_ATTCACTGTCTTTCAT-1", "d15.data_CATTCATTCGACCACG-1", "d15.data_TGGTAGTTCTCTGCCA-1", "d15.data_CTGAGGCGTGTTGCCG-1", "d15.data_CGTTGGGAGCTGTCCG-1", "d15.data_TTCGGTCGTTTCCAAG-1", "d15.data_TTGACCCTCAACTACG-1", "d15.data_AACCCAATCGGCAGTC-1", "d15.data_CGCCAGATCCCAGTGG-1", "d15.data_TGACCCTAGGTCCAGA-1", "d15.data_TCGACCTGTGGTAACG-1", "d15.data_CAAGACTGTCACTGAT-1", "d15.data_TTCCTCTCACGCTTAA-1", "d15.data_GACACGCCACCTCGTT-1", "d15.data_TACTTGTGTGAGATTA-1", "d15.data_ACGTACATCCACCCTA-1", "d15.data_GCGGAAACAGGGATAC-1", "d15.data_AATCACGCATCCGGCA-1", "d15.data_ACGATGTAGCACCGAA-1", "d15.data_GTTACCCAGAAACACT-1", "d15.data_CACAGGCCAGCCATTA-1", "d15.data_TTTACGTAGACTTCCA-1", "d15.data_TGTGAGTGTCCCTCAT-1", "d15.data_TTTACCAAGTTCCAGT-1", "d15.data_ACTGTCCGTCAAAGTA-1", "d15.data_TTAGGCAGTTTGAAAG-1", "d15.data_CCGATGGCAATACGCT-1", "d15.data_ACTATTCTCTGAATCG-1", "d15.data_ATTCATCGTTCGGTTA-1", "d15.data_ATACTTCTCATTGCCC-1", "d15.data_CCCTAACGTCTGCCTT-1", "d15.data_CTCTCGAGTGCGTTTA-1", "d15.data_TAACCAGAGGTTCTAC-1", "d15.data_CTTAGGAAGTCAAGCG-1", "d15.data_AGTAGCTCATTCCTAT-1", "d15.data_AGTAGCTGTATGAAAC-1", "d15.data_GTCTCACTCCATCCGT-1", "d15.data_ACTTCCGTCTACCACC-1", "d15.data_AGGGTCCCACGCACCA-1", "d15.data_GGTGATTTCTGATGGT-1", "d15.data_TGGTGATGTAACGCGA-1", "d15.data_TTCTAACCAAGTGGAC-1", "d15.data_TTCTTCCTCCCGTTCA-1", "d15.data_CCGATGGGTCATCGGC-1", "d15.data_AGCGCTGTCCATTTGT-1", "d15.data_CAGATTGAGTAAGCAT-1", "d15.data_CTCGAGGGTTGGACCC-1", "d15.data_CGTCCATCACGTCATA-1", "d15.data_TTTACCATCCGTGTAA-1", "d15.data_GTTACCCAGACTGTTC-1", "d15.data_ATTCGTTCAGACGCTC-1", "d15.data_TCCTCTTGTTTGGCTA-1", "d15.data_CCGTTCATCTGGCTGG-1", "d15.data_AGCGATTAGTTTGAGA-1", "d15.data_TTATTGCGTTGCTCGG-1", "d15.data_GTCAAACAGAGCTGCA-1", "d15.data_AACAAGACACAGCCTG-1", "d15.data_CCGGGTAAGGCAGGGA-1", "d15.data_TCTTGCGCAACTCGAT-1", "d15.data_CTCGAGGCACGAGGAT-1", "d15.data_TCATACTAGCGGGTAT-1", "d15.data_ACCCAAAAGAATTGCA-1", "d15.data_CCTAAGATCGTAGAGG-1", "d15.data_CTCCCTCTCATTCATC-1", "d15.data_AGAACAAAGAAGCTGC-1", "d15.data_TGTGTGAAGTATAGAC-1", "d15.data_AGAAGTATCTATCCAT-1", "d15.data_TCACGCTGTAAGATAC-1", "d15.data_TACATTCTCACCGGGT-1", "d15.data_CTCATTAAGGATATAC-1", "d15.data_TTGTTTGCATGAGAAT-1", "d15.data_CTACAGACAACACACT-1", "d15.data_GCTACAATCATGAGGG-1", "d15.data_TGCACGGAGGCCTTCG-1", "d15.data_TGCGATATCAGCCCAG-1", "d15.data_CTAACTTGTTGCTTGA-1", "d15.data_ACGTACAGTGGAGAAA-1", "d15.data_GAAGCGAAGCTATCCA-1", "d15.data_GAAGCGATCGTTCATT-1", "d15.data_CTTGAGACAATAGTCC-1", "d15.data_GTCATCCTCGCGTGCA-1", "d15.data_CTCGAGGTCCTTTAGT-1", "d15.data_TACCTCGTCGTTATCT-1", "d15.data_TATACCTTCGTTAGAC-1", "d15.data_TCGGGACTCATGCCAA-1", "d15.data_GTCAAGTCAGTTTCGA-1", "d15.data_GTCTAGAGTTGCCAAT-1", "d15.data_TGACGCGAGCCTAGGA-1", "d15.data_AGACCATTCTCAACGA-1", "d15.data_ACCCTCAAGACAAGCC-1", "d15.data_ACCCAAACACTTGTGA-1", "d15.data_GTTATGGTCCATTTAC-1", "d15.data_AACGAAACACCCTAGG-1", "d15.data_GGTAATCGTTGGGTTT-1", "d15.data_CAGATACGTCAACACT-1", "d15.data_TACTTCATCCGGGACT-1", "d15.data_TACCGAAGTTTGAACC-1", "d15.data_CTCCAACCACATATCG-1", "d15.data_GAATAGAGTTCGAAGG-1", "d15.data_CATCCACGTGGCTTAT-1", "d15.data_ATCGATGCAAGTGGAC-1", "d15.data_AGATGCTTCATTGAGC-1", "d15.data_CAGATTGCAGCTGTAT-1", "d15.data_GGAGGATCAGAAATTG-1", "d15.data_AAACCCATCTAAGAAG-1", "d15.data_TCATGTTTCTCAGAAC-1", "d15.data_GGAGCAACACCAGACC-1", "d15.data_TCAGCCTCAACATACC-1", "d15.data_GTGCACGCATCATGAC-1", "d15.data_CACCAAATCCGCACTT-1", "d15.data_AAAGGGCTCGCAGTCG-1", "d15.data_TCCTTTCTCTGATGGT-1", "d15.data_ATTGGGTAGTAGGGTC-1", "d15.data_GTGCGTGAGCTCGACC-1", "d15.data_CAAAGAAGTATCACCA-1", "d15.data_GTATTTCCATCCGAAT-1", "d15.data_GTTACAGGTCTTTCTA-1", "d15.data_GCAACATAGTTGAAGT-1", "d15.data_AACGTCAAGCAGATAT-1", "d15.data_CTTCGGTTCGAACCTA-1", "d15.data_CTACCTGTCGCATGAT-1", "d15.data_GCCTGTTCAAGAGAGA-1", "d15.data_GTGCGTGCATGGGATG-1", "d15.data_CTGTACCTCTTGTTAC-1", "d15.data_CAATGACTCCCATACC-1", "d15.data_TCAGTCCGTTGATGTC-1", "d15.data_CCTCAACGTACAAACA-1", "d15.data_ACAGAAACACCACTGG-1", "d15.data_CACGTTCGTTTACTGG-1", "d15.data_CAACCTCTCCCAAGTA-1", "d15.data_TCACGGGAGGGCAAGG-1", "d15.data_TACCCGTTCACTGTCC-1", "d15.data_AGACACTAGCAACTTC-1", "d15.data_GGGTGAAAGATCCTAC-1", "d15.data_CTCAACCCATCTCGTC-1", "d15.data_CTCCTCCCACAAGCCC-1", "d15.data_GATCACACACACGCCA-1", "d15.data_TTCTAACGTACGTACT-1", "d15.data_GAATAGAGTCTTCAAG-1", "d15.data_TAGATCGGTCCGGCAT-1", "d15.data_ACTTATCCAACGATTC-1", "d15.data_TTGGGCGTCCAATGCA-1", "d15.data_GGGCTCATCACCTCTG-1", "d15.data_GCCAGGTTCAAAGCCT-1", "d15.data_TATTCCAGTCTCAGAT-1", "d15.data_GATAGCTCAGGGTCTC-1", "d15.data_AGAGAATGTACATACC-1", "d15.data_TAGACTGGTCACTCGG-1", "d15.data_AAGTGAATCGAGTACT-1", "d15.data_CATGCAATCGAGAAGC-1", "d15.data_TTCCTAACAGGGACTA-1", "d15.data_TTACCATCATAAGCGG-1", "d15.data_CACAGATGTAGCGCCT-1", "d15.data_TCGGTCTCACTCAAGT-1", "d15.data_GAAGGACGTGAGAGGG-1", "d15.data_TCTAACTGTGTGACCC-1", "d15.data_GTAGCTAGTACCGGCT-1", "d15.data_ATCACAGCAACTCGTA-1", "d15.data_ACGATCAGTCGCTTAA-1", "d15.data_TCTACATTCGCCAGTG-1", "d15.data_TTGTTCAGTCATAACC-1", "d15.data_GCCATTCGTTTCACAG-1", "d15.data_AAACGCTCACGCAAAG-1", "d15.data_ACGATCAAGCACTCGC-1", "d15.data_ACGTAGTGTGTACATC-1", "d15.data_GAGTCATCACTAGTAC-1", "d15.data_GTACAACGTACCTAAC-1", "d15.data_ACGGTTACAGCCTTCT-1", "d15.data_TCAAGACAGTCCTGCG-1", "d15.data_TAACGACCAGTCAGTT-1", "d15.data_CATTGCCGTAGGTCAG-1", "d15.data_CACAACATCCTTTGAT-1", "d15.data_TTGCCTGCAGCACGAA-1", "d15.data_GCATCTCCAGACAATA-1", "d15.data_AGAGCCCAGGTCGTAG-1", "d15.data_GTGAGCCTCTCGGTCT-1", "d15.data_TCGCACTAGCAACAAT-1", "d15.data_GCCATGGGTCGTATGT-1", "d15.data_ATTCCTAGTAGGACCA-1", "d15.data_TCCTAATAGGCCTGAA-1", "d15.data_AAGACTCCAGTGCGCT-1", "d15.data_AGTTCGATCAGAGCGA-1", "d15.data_GACGCTGTCATCGTAG-1", "d15.data_TAACGACTCACAGTGT-1", "d15.data_CTGCTCAGTCTGTCCT-1", "d15.data_GATAGAACAGGCGTTC-1", "d15.data_TCAAGACAGGTCCCGT-1", "d15.data_TCGCACTCAAGCGATG-1", "d15.data_CTTCCTTAGTCATCGT-1", "d15.data_TGATTTCGTTCCTACC-1", "d15.data_CGCCATTTCGCAGATT-1", "d15.data_GGGCTCAGTTCGAACT-1", "d15.data_ATCACAGCAAGGAGTC-1", "d15.data_CCGGTAGTCCCTTTGG-1", "d15.data_ATCACTTCAGTTCTAG-1", "d15.data_ACCACAACAAATCCCA-1", "d15.data_CACGAATCATTGCCTC-1", "d15.data_GAACGTTTCAGGAAAT-1", "d15.data_AACAAGATCCGTATGA-1", "d15.data_GAGTTACGTCCACTCT-1", "d15.data_AAGTCGTCACCGGTCA-1", "d15.data_AACAAAGTCGTGCTCT-1", "d15.data_GCTTTCGTCACTCCGT-1", "d15.data_GTCTACCAGTCGAAGC-1", "d15.data_TTCCGGTTCACCTACC-1", "d15.data_AACGAAAGTTCCTTGC-1", "d15.data_ATACCGAAGCTTCATG-1", "d15.data_CCGGACATCAGTGTTG-1", "d15.data_CTGTGGGTCATACGGT-1", "d15.data_CTACCTGTCCTAAGTG-1", "d15.data_CCGTGAGTCCGAAATC-1", "d15.data_GCTGCAGCAACCGTAT-1", "d15.data_ACTTATCCACAAGTTC-1", "d15.data_CCTGCATAGCAAACAT-1", "d15.data_AATGACCAGGCATCTT-1", "d15.data_ACTTAGGAGCCTTCTC-1", "d15.data_GCCCGAATCCACCTGT-1", "d15.data_GTCTAGACACATACTG-1", "d15.data_TCTTAGTCAGCACACC-1", "d15.data_GTCTACCCAAGCCATT-1", "d15.data_CGAGGCTCACCCTAAA-1", "d15.data_CGCGTGAAGTGCTAGG-1", "d15.data_CATGAGTAGCCAACCC-1", "d15.data_TCCTGCATCGCGTGCA-1", "d15.data_GTGCACGGTTACTCAG-1", "d15.data_ATGGATCCATACATCG-1", "d15.data_CCTCAGTCAAACCACT-1", "d15.data_CGCCATTCAGCAGATG-1", "d15.data_TTACCGCTCCATCTAT-1", "d15.data_CATACCCTCGGTCTAA-1", "d15.data_AATTCCTTCCACAGCG-1", "d15.data_TCCTTTCGTCAGACGA-1", "d15.data_ATTCCTACAGGCATTT-1", "d15.data_ATTGTTCCAACCAACT-1", "d15.data_GAGACCCCAACACTAC-1", "d15.data_CTCTCAGTCATTCCTA-1", "d15.data_AGTTAGCTCGCTCATC-1", "d15.data_CTTCCTTAGACGCCAA-1", "d15.data_AATGACCAGCCTCAAT-1", "d15.data_CTCCACAGTACCGGCT-1", "d15.data_CTAACCCAGCTGTACT-1", "d15.data_GAGTTGTCAATACAGA-1", "d15.data_GCAGGCTTCCCATGGG-1", "d15.data_TTACCGCCACAATGCT-1", "d15.data_TGCCGAGGTGGACTGA-1", "d15.data_ATTCCATGTCCTCATC-1", "d15.data_GCATCTCGTGGTCCGT-1", "d15.data_CATTGAGCAGCACGAA-1", "d15.data_CATGAGTTCTTAGCAG-1", "d15.data_CCCGGAAAGCTCCACG-1", "d15.data_GGAGGATCAAGGCGTA-1", "d15.data_CGTAATGTCCTTCAGC-1", "d15.data_CATACCCTCACACCGG-1", "d15.data_GATCATGCAATCTCTT-1", "d15.data_TGGGAGATCAGCGCAC-1", "d15.data_AGTGACTCATGAAAGT-1", "d15.data_GAGACCCTCTTGGATG-1", "d15.data_CATCCGTGTGGCCCAT-1", "d15.data_CCAAGCGAGGATACCG-1", "d15.data_CTGAATGCACCCTAGG-1", "d15.data_AACAAAGGTCATCCCT-1", "d15.data_TGTTACTCACACCTGG-1", "d15.data_CGTGAATTCCCTGGTT-1", "d15.data_ACATTTCAGTAGTCTC-1", "d15.data_CCTACGTCACGTACTA-1", "d15.data_GCCCAGACAGCTTTCC-1", "d15.data_TTAATCCTCTAGGCAT-1", "d15.data_TACACCCGTCGGAACA-1", "d15.data_TAAGCCAAGCGAATGC-1", "d15.data_GACTCAACACGGCTAC-1", "d15.data_CTGTGGGCAACCGATT-1", "d15.data_TCCTCCCGTATTGACC-1", "d15.data_GGTCACGGTATCCTTT-1", "d15.data_TCAAGACGTGAATAAC-1", "d15.data_ATGAGGGAGATGACCG-1", "d15.data_TCAGTCCGTTCTCGCT-1", "d15.data_CTCAACCGTCACTCAA-1", "d15.data_CATACCCCACCGCTGA-1", "d15.data_ATGTCTTGTAGTGATA-1", "d15.data_CATCAAGAGATACAGT-1", "d15.data_GTCATGAGTCGCCTAG-1", "d15.data_ACACAGTTCGATAACC-1", "d15.data_AGAACCTCAGAGGCAT-1", "d15.data_GCTACCTGTGGAGAAA-1", "d15.data_TTCCTTCTCAGTCAGT-1", "d15.data_TGGGAGAAGTCCCAAT-1", "d15.data_CGGAATTCACATGGTT-1", "d15.data_TCAGGGCAGGTTTGAA-1", "d15.data_GGTCACGTCTAGAACC-1", "d15.data_CCTGCATGTTACGCCG-1", "d15.data_GGTCACGAGGGCAGTT-1", "d15.data_CATCGGGCAAACAGGC-1", "d15.data_GCCTGTTTCGGATAAA-1", "d15.data_TGGGATTCAGTCACGC-1", "d15.data_CAACGGCCAACTGAAA-1", "d15.data_AGACAAAAGTCAGCCC-1", "d15.data_TCATGCCTCATAGCAC-1", "d15.data_CCATCACCACATGAAA-1", "d15.data_TCGTAGAGTCCAAAGG-1", "d15.data_CTTCCGACACCGGCTA-1", "d15.data_CTCCGATGTTGCAACT-1", "d15.data_AGACTCAGTCAACCAT-1", "d15.data_ATTCATCAGCACACCC-1", "d15.data_CAGGTATCAAGAGATT-1", "d15.data_GGACGTCCACAGAGCA-1", "d15.data_GTTGAACCACTTACAG-1", "d15.data_ACGGGTCCAGCAGAAC-1", "d15.data_ATATCCTGTGCAACGA-1", "d15.data_CGAGGCTCAGTTGTTG-1", "d15.data_TTCAATCCATTCTCCG-1", "d15.data_CCTGCATTCGCCAGTG-1", "d15.data_TCAAGACAGACCAACG-1", "d15.data_GAGTGTTCATCGTTCC-1", "d15.data_TCTTAGTCACTATCGA-1", "d15.data_CGCGTGAGTATTCCTT-1", "d15.data_AGATGCTCAAGTGCAG-1", "d15.data_CAAGAGGAGAGGGTGG-1", "d15.data_CCTCCAACAAGAGTGC-1", "d15.data_GTAGAAATCGACCACG-1", "d15.data_TCGCACTTCTAGGCCG-1", "d15.data_GGGACTCTCGACACTA-1", "d15.data_GGCGTCACACGCGTCA-1", "d15.data_CTAGACACAATTGAAG-1", "d15.data_TAGATCGCACCTCGTT-1", "d15.data_GGGACCTTCTCCAATT-1", "d15.data_AGAGCCCAGGGAGAAT-1", "d15.data_TGGTTAGGTGCGGTAA-1", "d15.data_TCTATCATCATACGAC-1", "d15.data_GACTCTCCACCCATAA-1", "d15.data_ATTACTCGTTCCTTGC-1", "d15.data_GAGTTTGCAAAGGTTA-1", "d15.data_AACCTGAAGAAGTCTA-1", "d15.data_CGCAGGTAGGTCACAG-1", "d15.data_TTGCATTCAGCATTGT-1", "d15.data_ACCGTTCTCCACTGAA-1", "d15.data_CCAATTTGTATCCCTC-1", "d15.data_AGCCAGCCACTATCCC-1", "d15.data_CATCGCTGTGAATTAG-1", "d15.data_CCTTCAGGTCTTGCTC-1", "d15.data_CATCCCACAGGCTATT-1", "d15.data_TGCTTGCGTTAAGCAA-1", "d15.data_TCCTTTCCACATTACG-1", "d15.data_CATTTCACAGGCGAAT-1", "d15.data_GAATAGAGTCGAGTGA-1", "d15.data_CAGCAGCCATCAGTGT-1", "d15.data_CAGCACGGTGGACCTC-1", "d15.data_TGGGTTAAGTGATTCC-1", "d15.data_CGCATGGTCACTGTTT-1", "d15.data_CCGTTCAGTACAGTCT-1", "d15.data_TGAATCGAGCAAGCCA-1", "d15.data_GCATCGGCAACACGTT-1", "d15.data_TCGGGCAAGCAAATCA-1", "d15.data_GTCCACTTCAGCCTTC-1", "d15.data_TAACGACTCACCGGGT-1", "d15.data_TGATCTTAGGCCACTC-1", "d15.data_TACAACGCAATTGCCA-1", "d15.data_TCAGGTACAAGGCGTA-1", "d15.data_GTAGTACCACCGTGCA-1", "d15.data_TTAGGCATCAAGAAAC-1", "d15.data_CATTCATAGCACTCTA-1", "d15.data_CTTCAATCAGAGATGC-1", "d15.data_TACCGGGGTGTGACCC-1", "d15.data_ACCTACCAGCATCTTG-1", "d15.data_TCCTGCAGTCAAAGTA-1", "d15.data_ATCTCTACACTCTAGA-1", "d15.data_CGGAACCAGGGAGTGG-1", "d15.data_AGATGAATCACTCACC-1", "d15.data_TGAGGGAAGAAGCCAC-1", "d15.data_ATCGCCTGTGTCTTCC-1", "d15.data_TTTAGTCTCCATCTAT-1", "d15.data_GGAAGTGCACTTCCTG-1", "d15.data_CTAACTTGTCGGTACC-1", "d15.data_GTGAGCCTCGCATGAT-1", "d15.data_CAAGGGACACATATGC-1", "d15.data_GATTTCTCACAGTCGC-1", "d15.data_TGCATGAGTCCACACG-1", "d15.data_TGCATCCGTACTAGCT-1", "d15.data_GACAGCCCACTCCCTA-1", "d15.data_TTACGTTTCCAGCAAT-1", "d15.data_TGCTTCGCACTGCATA-1", "d15.data_GGTGAAGCAGCGTTTA-1", "d15.data_AGGTCTATCGGCACTG-1", "d15.data_CACGGGTTCAACCTTT-1", "d15.data_CACTGTCGTTCGTTCC-1", "d15.data_ACAGCCGAGAAATTGC-1", "d15.data_CGGAACCCATCCGAAT-1", "d15.data_CCCTCAAAGACGACTG-1", "d15.data_GAGACCCTCACCTCGT-1", "d15.data_TAGCACAGTTCCGCGA-1", "d15.data_CGTTAGAAGTTCACTG-1", "d15.data_GTACAGTAGCCAAGTG-1", "d15.data_ATCCATTGTCACTCGG-1", "d15.data_CACTGTCCACACGTGC-1", "d15.data_CGTGATACACCAAATC-1", "d15.data_GTTAGACCATACCGTA-1", "d15.data_ATCACAGAGACTCGAG-1", "d15.data_ATCCCTGGTGACAGCA-1", "d15.data_TTTACGTCAATCAAGA-1", "d15.data_ACCATTTTCTGACAGT-1", "d15.data_CAGATCATCCCTGTTG-1", "d15.data_TCTATCAAGGTTCAGG-1", "d15.data_AAACGCTAGACGAGCT-1", "d15.data_CTCCTCCTCGATGCAT-1", "d15.data_CGAGTGCAGATCGACG-1", "d15.data_GGTGATTGTACTGGGA-1", "d15.data_AAGAACAAGACTACCT-1", "d15.data_CGACAGCAGCGCCCAT-1", "d15.data_CAAAGAAGTAACATAG-1", "d15.data_CACGTTCTCGTAATGC-1", "d15.data_ACACGCGCATCTATCT-1", "d15.data_TACATTCTCACCTACC-1", "d15.data_CCAATGATCCGACGGT-1", "d15.data_AACCCAACATCGTCCT-1", "d15.data_TTCAATCCAGGTCAGA-1", "d15.data_CTGCCATCAGCATTGT-1", "d15.data_TCATATCCACAACGTT-1", "d15.data_ATCCATTCAAAGCACG-1", "d15.data_CTCCATGCAATCGCCG-1", "d15.data_ATGAAAGTCCTCACTG-1", "d15.data_GTCATGACAGCGGTTC-1", "d15.data_CCGTAGGCAGCAGACA-1", "d15.data_AAAGGATCACACGCCA-1", "d15.data_TGGTACAGTGAACTAA-1", "d15.data_TTGGGATCATGCGGTC-1", "d15.data_TCATATCCAGCAAGAC-1", "d15.data_CCGTTCACAGTCTCTC-1", "d15.data_ATGCCTCCAATCGCAT-1", "d15.data_GGGTGTCTCGTAACTG-1", "d15.data_CTACATTTCTTCGGAA-1", "d15.data_TATATCCTCGAACACT-1", "d15.data_TACACCCAGCTATCTG-1", "d15.data_CACGAATTCACGACTA-1", "d15.data_AAACGCTTCTGCAGCG-1", "d15.data_AGCTCAACACAAAGCG-1", "d15.data_AACAACCTCTACCCAC-1", "d15.data_ACCAAACAGTCATGCT-1", "d15.data_AGTACCACACAATCTG-1", "d15.data_TACGTCCGTAACGGTG-1", "d15.data_AAGAACAGTGCTGCAC-1", "d15.data_CGAATTGCAAGAGAGA-1", "d15.data_TAAGCGTAGCCACCGT-1", "d15.data_CAGCCAGCAATACCTG-1", "d15.data_AAACCCATCGATCCCT-1", "d15.data_ATTCAGGCAGAGTTCT-1", "d15.data_TCTCACGTCCCTTCCC-1", "d15.data_CTGCATCTCCTACGAA-1", "d15.data_CAACAGTGTGATTAGA-1", "d15.data_CAATTTCTCTGTCCGT-1", "d15.data_TAATCTCCAATGCTCA-1", "d15.data_GGGACAATCCCGTGAG-1", "d15.data_ACTTATCAGAGCTGAC-1", "d15.data_TGGTGATGTAGACTGG-1", "d15.data_TCATGCCCACCTGCTT-1", "d15.data_CGTGCTTAGTTTCGAC-1", "d15.data_AAATGGAGTTCCGTTC-1", "d15.data_ATGGGAGTCTGGACTA-1", "d15.data_CTCCAACGTAAGTTAG-1", "d15.data_GATTCGATCCCGAAAT-1", "d15.data_ACGTAGTCACCGTGGT-1", "d15.data_TCCTGCATCCTCATAT-1", "d15.data_AGTTCCCCAGGCACTC-1", "d15.data_TCAATTCTCATCTACT-1", "d15.data_ACAGCCGAGCAATTCC-1", "d15.data_TTCAGGACAGTCAGCC-1", "d15.data_AGACCATTCAGCTGAT-1", "d15.data_TCCTGCACACCGTACG-1", "d15.data_ACGGTCGAGTCACAGG-1", "d15.data_GATGGAGCAATACCTG-1", "d15.data_TGACGCGAGAATTCAG-1", "d15.data_TTACCGCTCTCCTGCA-1", "d15.data_GGTCACGCAAGTGGCA-1", "d15.data_TGTTACTAGCGCCTCA-1", "d15.data_GAGGCCTGTCGCATTA-1", "d15.data_AACCTTTTCGGCTGAC-1", "d15.data_GGTCACGTCACATACG-1", "d15.data_TCCTAATTCTGGCCAG-1", "d15.data_AACCACAGTAGTCCTA-1", "d15.data_AATTTCCTCGTTCCTG-1", "d15.data_TGGAACTCAAACCATC-1", "d15.data_GGTGTCGCACGGATCC-1", "d15.data_GAAGGGTTCAGCACCG-1", "d15.data_ATCGTGACACTACGGC-1", "d15.data_CTGCGAGTCGGATTAC-1", "d15.data_TCTCAGCTCCGTCACT-1", "d15.data_TACCGAAAGCGCCTAC-1", "d15.data_TCAGTGAGTCACTTAG-1", "d15.data_AACAACCAGACAGCTG-1", "d15.data_TACCCACCATTCAGCA-1", "d15.data_TGGGAAGTCTAACGGT-1", "d15.data_TCTAACTTCTGACCCT-1", "d15.data_GCCAGTGCAGAATGTA-1", "d15.data_GAGGGATAGCGAAACC-1", "d15.data_AGGTAGGGTCGGCTAC-1", "d15.data_CGCCATTTCTCACTCG-1", "d15.data_AGTCATGAGTAACGTA-1", "d15.data_TCACGCTTCACTGTCC-1", "d15.data_TTAGGGTCATCGTTCC-1", "d15.data_ACATCGACACAAGCCC-1", "d15.data_CCGGGTATCATACGAC-1", "d15.data_TGCTCCACAAACTAGA-1", "d15.data_AACAAGACAACAACAA-1", "d15.data_TCAAGACTCAAACCTG-1", "d15.data_TTCAGGAAGTTACGTC-1", "d15.data_GTGTCCTAGGGAACAA-1", "d15.data_GTAGTACAGGAATTAC-1", "d15.data_GGGAGTACATGGCGCT-1", "d15.data_CATGAGTTCCTTCACG-1", "d15.data_TTCCTAAGTTGTCAGT-1", "d15.data_TGGAACTGTTTGCAGT-1", "d15.data_TTCACGCGTTCGATTG-1", "d15.data_CAGATTGCACGGTGTC-1", "d15.data_CAACCAAAGTGACCTT-1", "d15.data_TTTATGCTCCAACCAA-1", "d15.data_TGATCAGTCCTACGGG-1", "d15.data_AGAAGTATCTGCGGCA-1", "d15.data_TCTACATAGGCCTAGA-1", "d15.data_GATGAGGGTAACATAG-1", "d15.data_CCTACGTTCTAAACGC-1", "d15.data_CATAGACTCAATCAGC-1", "d15.data_ACCATTTTCCTTTGAT-1", "d15.data_ACGATCATCGTTCATT-1", "d15.data_TCCATGCTCTTGGGCG-1", "d15.data_TGATTTCTCATTCCTA-1", "d15.data_CCAATGAGTTTCCAAG-1", "d15.data_TATCCTACACCGTCGA-1", "d15.data_TACGCTCGTCACCGAC-1", "d15.data_AGGGCTCGTAGCCCTG-1", "d15.data_GATCCCTTCGTGCACG-1", "d15.data_AGTTAGCAGCGGATCA-1", "d15.data_CAGATACTCGAACGCC-1", "d15.data_GTGGAAGGTACCTTCC-1", "d15.data_AACAAGAAGGTTCACT-1", "d15.data_TGTAGACGTATTTCCT-1", "d15.data_GTCTTTAGTAGCGTAG-1", "d15.data_TACAACGGTCGTTGCG-1", "d15.data_ATCTTCACATGCAGGA-1", "d15.data_TTCCTCTGTGCTGATT-1", "d15.data_TGAGCGCCAGTAACCT-1", "d15.data_CACGTTCGTGCTTATG-1", "d15.data_GGGTATTGTGTCGATT-1", "d15.data_ATCCCTGGTATCCCTC-1", "d15.data_AATGCCAGTATTGACC-1", "d15.data_CGTTAGAAGTCGCTAT-1", "d15.data_ACCCTCAGTTACCGTA-1", "d15.data_GTGTAACAGATGAAGG-1", "d15.data_GAAGTAAAGTATAGAC-1", "d15.data_TGATGCAGTCGGTGAA-1", "d15.data_TAGGGTTTCTCGCAGG-1", "d15.data_TTCTTGATCGAGTCCG-1", "d15.data_GGTTGTAGTCTGATAC-1", "d15.data_CCGATCTCACATATCG-1", "d15.data_CATACTTAGTAGTCAA-1", "d15.data_TTTACGTAGAAGTCTA-1", "d15.data_GATCAGTTCTTTGCAT-1", "d15.data_CTCAGTCGTTGCGAAG-1", "d15.data_ACTTTGTGTAACGCGA-1", "d15.data_TCCATGCAGAAGCTGC-1", "d15.data_CCCGAAGCACCACATA-1", "d15.data_TCAAGACAGCCTGACC-1", "d15.data_GTCTAGAGTGCATGAG-1", "d15.data_CATTTCATCCAAACCA-1", "d15.data_CATTCTAAGAAGCGGG-1", "d15.data_AGACCATCATCTCCCA-1", "d15.data_TGTGAGTAGTATGGCG-1", "d15.data_AAGTTCGAGCTCATAC-1", "d15.data_TTTGTTGAGGGCAGAG-1", "d15.data_CGAAGGATCGTCTCAC-1", "d15.data_CCAATTTGTAAGCAAT-1", "d15.data_TTACCATCATTGCAAC-1", "d15.data_CGAAGGACATCTGGGC-1", "d15.data_TGGAGAGAGCCACAAG-1", "d15.data_GAGTTGTGTCACCGCA-1", "d15.data_AAGCGAGGTACCTAAC-1", "d15.data_GGGTCACGTATGTCAC-1", "d15.data_GAGTGTTTCTCTCGAC-1", "d15.data_CTTACCGCAGACTCTA-1", "d15.data_CAGCACGGTCCTACGG-1", "d15.data_CTACGGGAGACATAGT-1", "d15.data_TTTCATGGTAGAAACT-1", "d15.data_ATTCATCCATACTTTC-1", "d15.data_CATTGTTCACGTGAGA-1", "d15.data_TCTATCAAGCGTGAGT-1", "d15.data_TCATGTTAGTCTTCCC-1", "d15.data_CTAGGTATCTGCTTTA-1", "d15.data_AGGGTGAGTAGGCTGA-1", "d15.data_ACTCTCGTCCGACATA-1", "d15.data_TCTACATGTCCTTAAG-1", "d15.data_GTGGAAGGTTTCCAAG-1", "d15.data_TAGGTTGTCCGATAAC-1", "d15.data_AGCTCAAGTTACCTGA-1", "d15.data_CATCGTCCATCGAACT-1", "d15.data_GCTCAAAAGCCGGATA-1", "d15.data_AGTGCCGCACCTCTAC-1", "d15.data_GAATAGAAGTCCTGTA-1", "d15.data_TCCATCGTCAGGACGA-1", "d15.data_AGGTCATCAGCAGGAT-1", "d15.data_TCCTCGATCGACCCAG-1", "d15.data_TAACTTCGTCCTGAAT-1", "d15.data_ACCATTTCATACTTTC-1", "d15.data_ATGTCCCAGATTTGCC-1", "d15.data_GTTGTAGCACACAGCC-1", "d15.data_CACATGACATCCAACA-1", "d15.data_CGAATTGTCCACACCT-1", "d15.data_TGGAGAGAGATGCAGC-1", "d15.data_ATCATTCTCGGCCAAC-1", "d15.data_TGTTCCGGTCTACGTA-1", "d15.data_TCACGCTTCACACCCT-1", "d15.data_TGATCAGAGGTCCGAA-1", "d15.data_AATGAAGCAATGTTGC-1", "d15.data_CTGCATCCAGATCCAT-1", "d15.data_GCATCTCGTTCATCTT-1", "d15.data_CATGCGGGTATGGGAC-1", "d15.data_TGACCCTAGCAGGCTA-1", "d15.data_TCAATTCGTATTGACC-1", "d15.data_TCTTTGAGTATAGGGC-1", "d15.data_GTAGAAAAGCCGATTT-1", "d15.data_TCAGCAACAGGATTCT-1", "d15.data_TCCATGCAGTTCCGGC-1", "d15.data_CCCTCAATCGAACTCA-1", "d15.data_ACAGCCGGTGTCCGTG-1", "d15.data_GGATGTTAGAAACTGT-1", "d15.data_TAAGTCGAGTGGTTCT-1", "d15.data_CTCAAGAAGCACACAG-1", "d15.data_GGGATCCAGGACTATA-1", "d15.data_CAGCAATCAGGCTACC-1", "d15.data_AACCTTTCACAGTGAG-1", "d15.data_TACCTCGTCTGAGCAT-1", "d15.data_GTGGGAACATACAGCT-1", "d15.data_TGTGAGTTCGAACGCC-1", "d15.data_TATCAGGCATTCTGTT-1", "d15.data_TCACACCTCAACTGGT-1", "d15.data_TATCCTACATCCGCGA-1", "d15.data_TGCACGGGTTTCGTAG-1", "d15.data_CACGTTCCAGACAATA-1", "d15.data_AAGCCATAGCTTTCTT-1", "d15.data_ACTCCCATCATGTCAG-1", "d15.data_GCACGTGCATCCTTGC-1", "d15.data_TGAGGTTCAGCTAACT-1", 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"white", "zerolinewidth": 2 } } }, "title": { "text": "Waddington potential" }, "width": 1000 } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.io as pio\n", "\n", "scegot.plot_waddington_potential(\n", " Wpotential,\n", " mode=\"pca\",\n", " gene_name=None,\n", " # save=True,\n", " # save_path=\"./waddington_potential_pca_potential.html\"\n", ")" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "%{hovertext}

PC1=%{x}
PC2=%{y}
Waddington Potential=%{z}
color=%{marker.color}", "hovertext": [ "iM.data_GTGGAAGGTCAATGGG-1", "iM.data_TTCATGTCAACCCGCA-1", "iM.data_GAGGGTATCCAGGACC-1", "iM.data_AAGTCGTAGGCTTTCA-1", "iM.data_ACCGTTCGTAACTTCG-1", "iM.data_GTGTTAGCAAGTTTGC-1", "iM.data_TCACGGGGTGGCGCTT-1", "iM.data_GTTACGAAGGTCTACT-1", "iM.data_TGATCAGAGTCGTTAC-1", "iM.data_GTGCAGCGTCTTCAAG-1", "iM.data_AGTAGTCCACCCTGTT-1", "iM.data_CCATAAGGTAGCTGTT-1", "iM.data_TAAGCACCAGTCGTTA-1", "iM.data_GGTCACGAGGTCCCTG-1", "iM.data_CTGCGAGGTCGTGTTA-1", "iM.data_TCAGGTAGTCGCACAC-1", "iM.data_TCTGTCGTCGTTCAGA-1", "iM.data_AGTTCCCCATTATGCG-1", "iM.data_TCATTGTCATTACGGT-1", "iM.data_TGTAGACTCGGTAACT-1", "iM.data_CTGTATTAGGATCATA-1", "iM.data_TTGTTGTGTATCGATC-1", "iM.data_CTGCCTAGTACGATGG-1", "iM.data_CGCAGGTCATAAGCGG-1", "iM.data_TCGTGGGGTTTGCAGT-1", "iM.data_CTGAGCGTCCCTGGTT-1", "iM.data_CGTGTCTAGCATAGGC-1", "iM.data_GGGTTTATCCTGTACC-1", "iM.data_TTCTAGTGTAAGATCA-1", "iM.data_GTCGCGAAGCGTGCTC-1", "iM.data_TCCCAGTGTAGATGTA-1", "iM.data_TTCGGTCGTGTGGACA-1", 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"iM.data_CCTTCAGAGTCGAGGT-1", "iM.data_ATTTCACCATTCCTAT-1", "iM.data_CACTTCGAGAACGTGC-1", "iM.data_ACGTAGTGTTCCACGG-1", "iM.data_TTTCAGTGTCTTCAAG-1", "iM.data_GAATAGACAGCTCTGG-1", "iM.data_AAAGTGATCCGTGTAA-1", "iM.data_ATCGGATTCCTTTAGT-1", "iM.data_ACTATTCGTTAATCGC-1", "iM.data_AAGACAAAGTCATCGT-1", "iM.data_GATGGAGCAGTAGAGC-1", "iM.data_CCTCCAAGTGTATACC-1", "iM.data_AGGGCTCAGACAACAT-1", "iM.data_ACTATCTAGGTTAAAC-1", "iM.data_TCATGGAAGCCGTCGT-1", "iM.data_TCTGGCTAGGAGGGTG-1", "iM.data_CGGGTGTGTCACAGTT-1", "iM.data_ATCGTCCCAGTCCGTG-1", "iM.data_GCCATGGAGGATACAT-1", "iM.data_CCTGCATCATTCTGTT-1", "iM.data_AGATCGTAGGGTACGT-1", "iM.data_TGTTCCGAGTACGAGC-1", "iM.data_CCACGAGGTATACGGG-1", "iM.data_ATATCCTGTCGTGGTC-1", "iM.data_GAGTTGTAGGCACCAA-1", "iM.data_CGATGCGGTCTGGTTA-1", "iM.data_TCGTAGATCCATCCGT-1", "iM.data_ACCTGAACACGTGAGA-1", "iM.data_TATCTTGAGCCTTCTC-1", "iM.data_AGGAAATTCCCAGCGA-1", "iM.data_TCGGTCTTCATTACTC-1", "iM.data_AACACACGTGATAGAT-1", "iM.data_TGTCCCAGTGGTCAAG-1", "iM.data_ATTACCTTCCATACAG-1", "iM.data_AGGTTGTGTGAACGGT-1", "iM.data_TCACACCAGAAGGCTC-1", "iM.data_CGTCAAACATATTCGG-1", "iM.data_ACAAAGAAGCCGAACA-1", "iM.data_CAATCGAAGGCATCGA-1", "iM.data_GCATCGGGTGGATGAC-1", "iM.data_GCATTAGAGATACATG-1", "iM.data_GGGTCTGGTCTGCATA-1", "iM.data_CACAGGCGTCGAATGG-1", "iM.data_TATCGCCAGCGTCGAA-1", "iM.data_GTCTACCCAACGACAG-1", "iM.data_TCAAGCAAGTGGTTCT-1", "iM.data_GCGATCGAGGTGATCG-1", "iM.data_TCGATTTAGAAGGTAG-1", "iM.data_GGGTGTCGTGGAACCA-1", "iM.data_GGGAGTATCCTTTAGT-1", "iM.data_GTTCGCTGTAACGTTC-1", "iM.data_ACGGGTCGTGCATACT-1", "iM.data_GGTGATTAGAAGTCTA-1", "iM.data_CAAAGAAGTCATAAAG-1", "iM.data_TACCTCGGTGTCCAAT-1", "iM.data_GTGGAGAGTCGTGATT-1", "iM.data_TAGGTTGAGCTGTACT-1", "iM.data_TGACAGTCATACAGCT-1", "iM.data_TCCGGGATCAAATAGG-1", "iM.data_ACTCCCAGTACGTGAG-1", "iM.data_TCGCTTGCACAGCCTG-1", "iM.data_TTTCACAAGATAGTGT-1", "iM.data_GAGTTGTGTTCCGCTT-1", "iM.data_CATTGAGGTAACGGTG-1", "iM.data_AGAGCAGGTCTGGTTA-1", "iM.data_TCTCAGCAGGCCTTGC-1", "iM.data_GAATCGTTCATTACTC-1", "iM.data_GTCGCGACACAGCCTG-1", "iM.data_TTTCACAAGCCGCTTG-1", "iM.data_TCACACCAGGTCGTAG-1", "iM.data_ACCGTTCTCGTGTTCC-1", "iM.data_GATTCTTCACCTGTCT-1", "iM.data_CAACGGCCAGCGTTGC-1", "iM.data_GTGGAAGGTAGCCAGA-1", "iM.data_TTCCAATTCGGCACTG-1", "iM.data_AGGGCTCTCTGAGGCC-1", "iM.data_AGAGAGCGTGGATACG-1", "iM.data_ATCGTAGGTCCATAGT-1", "iM.data_GCCAACGTCGGTGCAC-1", "iM.data_AGAAGCGTCCGCACGA-1", "iM.data_CATTCATGTTAGGGAC-1", "iM.data_CATAAGCCAGGTGTTT-1", "iM.data_ATCGTGACACTCAGAT-1", "iM.data_TCTGTCGGTAATACCC-1", "iM.data_CTACCTGTCAGTGTGT-1", "iM.data_AGGAGGTCAGAGGTAC-1", "iM.data_CCTCCAAAGTCGGCCT-1", "iM.data_TTGTTCAGTCGAGTTT-1", "iM.data_AGGTTGTGTGTTACTG-1", "iM.data_AGATCGTGTGTCACAT-1", "iM.data_TCCGTGTGTGACTAAA-1", "iM.data_AGGAAATTCCCTGGTT-1", "iM.data_TCGAAGTAGAGAACCC-1", "iM.data_TCGTGGGCAGGTGGAT-1", "iM.data_GGAGGTAAGTGTTGTC-1", "iM.data_TCGCAGGTCGCTCCTA-1", "iM.data_AAGTGAAAGATGACCG-1", "iM.data_CGTAAGTGTAACTGCT-1", "iM.data_CGTGAATTCCACTGGG-1", "iM.data_AGGGTGAGTGTCCACG-1", "iM.data_TCAGGGCAGGCCATAG-1", "iM.data_TTTCCTCTCTCATTTG-1", "iM.data_GACTTCCCAGTCCGTG-1", "iM.data_TCTGCCATCACAAGAA-1", "iM.data_TTACCATGTCAGTCCG-1", "iM.data_ATGGAGGTCAATGTCG-1", "iM.data_TGTAACGAGGATATGT-1", "iM.data_TCTTTGACAAGAGTGC-1", "iM.data_GCAACATGTGCCGTTG-1", "iM.data_TGTTCATTCAGTGCGC-1", "iM.data_GCTACCTGTTAAGGAT-1", "iM.data_TTTAGTCGTGATAGTA-1", "iM.data_TGATGCAGTTCATCGA-1", "iM.data_ATACCGAGTATCGTAC-1", "iM.data_TCATATCGTTTGTGGT-1", "iM.data_GTGGAGAGTAGTTACC-1", "iM.data_GATAGAAAGGCTTCCG-1", "iM.data_AGACAAAAGGTAGTCG-1", "iM.data_CGGGCATAGTCTTCCC-1", "iM.data_AAGTCGTGTTTCAGAC-1", "iM.data_TTACCATAGACATGCG-1", "iM.data_AGAAGTAGTGCTCGTG-1", "iM.data_ACTTCGCCAAGAGATT-1", "iM.data_GTCACTCAGAGGTTTA-1", "iM.data_GCCAGGTAGTGCTCAT-1", "iM.data_GTTAGTGAGGGTACAC-1", "iM.data_GCGTGCAGTGAATGAT-1", "iM.data_CGTGAATTCTGACAGT-1", "iM.data_ATCCGTCGTAGTTCCA-1", "iM.data_GTTCCGTTCTAGATCG-1", "iM.data_CTCAGGGCAGTCGAGA-1", "iM.data_ATTACCTCATGACGGA-1", "iM.data_CTGGTCTTCATGGAGG-1", "iM.data_GGCACGTTCTTCGGTC-1", "iM.data_CTGTATTCACTTTAGG-1", "iM.data_GAGATGGGTGGAATGC-1", "iM.data_CATTTCAGTTCCTAAG-1", "iM.data_CTGTGGGAGAATGTTG-1", "iM.data_TCTCACGGTAGACGTG-1", "iM.data_GTGGTTATCAGTGTCA-1", "iM.data_TGAGGGAAGGCTAACG-1", "iM.data_TATCTGTTCCTCAGGG-1", "iM.data_TTATTGCAGAAGTCTA-1", "iM.data_TTGTTGTGTGTGTCGC-1", "iM.data_TGAGGGAGTTGAAGTA-1", "iM.data_TCGTGGGGTTTACTGG-1", "iM.data_CAGGGCTAGCTAAATG-1", "iM.data_ACGTAGTAGGTAAACT-1", "iM.data_TCTCACGGTGAATAAC-1", "iM.data_GGTAACTAGATGAAGG-1", "iM.data_TATACCTGTGGATTTC-1", "iM.data_AACAAAGCAAGACAAT-1", "iM.data_CATCGTCAGTCATCCA-1", "iM.data_TGTTGGAGTTGCCTAA-1", "iM.data_GACCAATAGTTGGCTT-1", "iM.data_GAGCCTGGTAGTCGTT-1", "iM.data_CCACCATCAAGAGAGA-1", "iM.data_GAGACCCTCTATCGGA-1", "iM.data_GGGTTTAGTAGCGTTT-1", "iM.data_CAGCAATGTGCAACGA-1", "iM.data_GACTCTCCAGTATACC-1", "iM.data_CCGTTCAAGTGCCCGT-1", "iM.data_GGCGTCATCCATATGG-1", "iM.data_TCATGCCTCGCAAGAG-1", "iM.data_GGGCTACAGCCGATAG-1", "iM.data_ATCACGACAACCGTGC-1", "iM.data_AGCCACGCATCAGCGC-1", "iM.data_GTCTTTATCGCTACGG-1", "iM.data_TACAACGAGTAACAGT-1", "iM.data_CATGCTCAGTTTGGCT-1", "iM.data_CCCTAACTCGACGACC-1", "iM.data_ATCCTATAGGTCGTGA-1", "iM.data_AAACGAATCGCGGTAC-1", "iM.data_TTCCGGTCATGCAGCC-1", "iM.data_TTGGTTTAGTAGAGTT-1", "iM.data_GGGAAGTTCGGAGTGA-1", "iM.data_AGATAGAAGTAGGCCA-1", "iM.data_GTTGTAGGTTGCTCAA-1", "iM.data_TAACTTCGTGCTGATT-1", "iM.data_TGACGCGTCACTACGA-1", "iM.data_GAAGGGTCACAATGAA-1", "iM.data_CTGTAGATCATTCATC-1", "iM.data_TGTGAGTAGCCGATCC-1", "iM.data_TGAGTCAGTCGGAAAC-1", "iM.data_CATACTTGTAGAAACT-1", "iM.data_CAACGGCGTTACGATC-1", "iM.data_CATCGTCGTAGTCTTG-1", "iM.data_GATAGCTCAACAGATA-1", "iM.data_TATATCCGTTTGCAGT-1", "iM.data_GGGATCCGTTGTTTGG-1", "iM.data_TATTTCGAGGTAGATT-1", "iM.data_GTGGTTAGTGGTATGG-1", "iM.data_TTGCTGCTCAATGTCG-1", "iM.data_ACGCACGCAAAGGGCT-1", "iM.data_GGGTCACAGCAGTCTT-1", "iM.data_TGCATGAAGAAACACT-1", "iM.data_CCTGCATCAACCGCTG-1", "iM.data_CTACGGGGTAAGCTCT-1", "iM.data_CCTACGTGTGTCTCCT-1", "iM.data_AGTGACTGTGACTCTA-1", "iM.data_CAGATTGTCGAGTGAG-1", "iM.data_TGAGGTTGTTAGAAGT-1", "iM.data_TGTGGCGAGAATAGTC-1", "iM.data_GTTTGGAGTAGTGATA-1", "iM.data_CAAAGAAAGCCGTTAT-1", "iM.data_GGCTTTCGTGTCATCA-1", "iM.data_CCGTGAGAGAGCATAT-1", "iM.data_GCATCTCCATAGCACT-1", "iM.data_ACTTTGTAGGTGGTTG-1", "iM.data_TCATGAGAGGCGTTAG-1", "iM.data_TTGCGTCGTCTCACAA-1", "iM.data_CGAAGGATCAGCTGAT-1", "iM.data_TACTTGTGTAACACCT-1", "iM.data_GGATGTTAGATGCTTC-1", "iM.data_GAGGGTAGTTGGTGTT-1", "iM.data_CAAGGGATCCCAAGCG-1", "iM.data_CTGAGGCGTCTGTTAG-1", "iM.data_AACTTCTCAGCTCGGT-1", "iM.data_GGCAGTCGTGGCAACA-1", "iM.data_TAGAGTCCAGCACACC-1", "iM.data_GACGTTATCGCTAGCG-1", "iM.data_CGTCAAAAGAGTTGAT-1", "iM.data_GTCGTAACATTGCTGA-1", "iM.data_GGAGGATAGATGCTAA-1", "iM.data_CTCCGATGTCGCAGTC-1", "iM.data_TTGATGGAGGCTCTAT-1", "iM.data_GATTCGAAGACACACG-1", "iM.data_TTAGGCAGTCGATTAC-1", "iM.data_TGGGCTGAGCAAGTCG-1", "iM.data_CGTAATGGTTAACAGA-1", "iM.data_ACGTCCTGTCTTGAAC-1", "iM.data_TCGGGCATCATCGTAG-1", "iM.data_CAAAGAAGTCATCCCT-1", "iM.data_ACACAGTCAGTGTGCC-1", "iM.data_TCGGTCTGTTAAGTCC-1", "iM.data_TATCAGGTCTACCCAC-1", "iM.data_TTGGGTAAGTGCTCGC-1", "iM.data_CGCAGGTCAGACACAG-1", "iM.data_ACGATCAAGTTGCGCC-1", "iM.data_GTCATTTGTACAAACA-1", "iM.data_GTTCTATCAGCTCGGT-1", "iM.data_CGTTCTGAGAGGATGA-1", "iM.data_TACTTCATCATCACAG-1", "iM.data_GAGTTACGTAAGGAGA-1", "iM.data_GTTGCGGAGGGATGTC-1", "iM.data_GTCTTTAAGGACGGAG-1", "iM.data_CTCTCAGAGCACTCGC-1", "iM.data_GTAGCTAGTCTTCGAA-1", "iM.data_AGTTAGCAGGAAAGAC-1", "iM.data_TGGTGATAGCGTATAA-1", "iM.data_GGTAGAGTCGGTCGGT-1", "iM.data_TGTTGGACATACTGTG-1", "iM.data_CTACCTGGTTTCGTAG-1", "iM.data_GGTTCTCGTGTTAACC-1", "iM.data_ATCCACCGTCTCGGGT-1", "iM.data_CACTGAATCTATTTCG-1", "iM.data_ATCGGATGTATGTCTG-1", "iM.data_TCTATACGTTGTCAGT-1", "iM.data_CACTGGGAGGCAATGC-1", "iM.data_GTCGTAAAGGTCATCT-1", "iM.data_CACCGTTTCGTGGTAT-1", "iM.data_ACCATTTGTAACTAAG-1", "iM.data_CATCCGTTCAGCGCGT-1", "iM.data_TTTCCTCAGGTCGCCT-1", "iM.data_ACCGTTCAGCGAGTCA-1", "iM.data_TAGACCAGTACTGCGC-1", "iM.data_AGTCAACTCAAGAGTA-1", "iM.data_TTAGGCAGTTCGTAAC-1", "iM.data_ATCGATGAGAAGTGTT-1", "iM.data_GATTGGTAGAACTGAT-1", "iM.data_CAGCAGCCAGTGTGGA-1", "iM.data_ATCGTCCTCATCTGTT-1", "iM.data_TGAGCATGTCATCGCG-1", "iM.data_CCGGTAGAGCCTCTTC-1", "iM.data_TATACCTAGCGGTAAC-1", "iM.data_TTGGATGGTTCAGGTT-1", "iM.data_CTAAGTGCAGGGAGAG-1", "iM.data_TTCGGTCTCACTGGGC-1", "iM.data_CAAAGAAGTGTTAACC-1", "iM.data_TTGAGTGGTAGTCGTT-1", "iM.data_CATCGGGAGATTAGTG-1", "iM.data_TGCTCGTAGATGTTGA-1", "iM.data_GTGTTCCCAGTTGTCA-1", "iM.data_TTCCTAAAGTGGAAGA-1", "iM.data_TGAGGTTGTCTGTGAT-1", "iM.data_GTCATCCCAGAGACTG-1", "iM.data_CCTTGTGGTTCGTACA-1", "iM.data_ATTGTTCCAAGCTGTT-1", "iM.data_AAGTTCGTCGGCTTGG-1", "iM.data_TGTTCATAGATTGTGA-1", "iM.data_GAGGCAAAGTGCAACG-1", "iM.data_CGGAGAACACGTTCGG-1", "iM.data_GCGATCGAGATAGTGT-1", "iM.data_GTGGGAAGTGGTTCTA-1", "iM.data_TGGATCATCAGTGCGC-1", "iM.data_GGAATGGTCTGTTGGA-1", "iM.data_ACCATTTGTGTAACGG-1", "iM.data_TATTGGGTCGCCTATC-1", "iM.data_GTTTGGAGTTGGGACA-1", "iM.data_CTGATCCAGTATAACG-1", "iM.data_TCTCTGGGTACAACGG-1", "iM.data_TTTATGCTCAAGAAAC-1", "iM.data_GTCATGACATGCGTGC-1", "iM.data_AGGAGGTCAGATCCAT-1", "iM.data_GTTGTCCAGTCGAATA-1", "iM.data_CTGTGAAGTTGGACCC-1", "iM.data_ACTTTCAAGACGCTCC-1", "iM.data_TCACATTCAAAGCGTG-1", "iM.data_CGGAACCCACCCAATA-1", "iM.data_GTTGCTCTCGACGCGT-1", "iM.data_TCGATTTGTCCGGATC-1", "iM.data_ACTGTGATCGTAGCTA-1", "iM.data_CCAATGAGTGATCGTT-1", "iM.data_AACCAACAGTCTACCA-1", "iM.data_ACGTAGTTCGTCGACG-1", "iM.data_GGGATCCTCCGTGTGG-1", "iM.data_CTGCGAGGTCAGTCCG-1", "iM.data_TGCACGGCACAGTCCG-1", "iM.data_AACGAAATCGTTCGCT-1", "iM.data_TAGACCACATTATGCG-1", "iM.data_GTAACACGTCAAAGAT-1", "iM.data_CATCGTCCAGTTCTAG-1", "iM.data_GCCAGGTGTGCTTCAA-1", "iM.data_TATCCTAGTGGTCAAG-1", "iM.data_TAAGTCGGTCACTTAG-1", "iM.data_AGGTAGGGTTGCCAAT-1", "iM.data_GTCGAATCAATCAGCT-1", "iM.data_TGCTCGTTCAGAGCGA-1", "iM.data_CCGGACAAGGGTAGCT-1", "iM.data_ACAGCCGTCTATTGTC-1", "iM.data_TGCGACGCAGTGTATC-1", "iM.data_TTGCTGCGTCCCTAAA-1", "iM.data_CTCATTATCGACCACG-1", "iM.data_ACAGCCGCAGCGTATT-1", "iM.data_CAGATCAAGCTAGAGC-1", "iM.data_AGTTCGATCTCTTCAA-1", "iM.data_GACTATGCAGCTTCGG-1", "iM.data_GGTCTGGCACAGTCGC-1", "iM.data_ACTATTCAGCTATCTG-1", "iM.data_TCCGAAAGTCTACAGT-1", "iM.data_TCGACGGCATAACGGG-1", "iM.data_TGCTTCGTCCGCAACG-1", "iM.data_TATCCTAAGATAGGGA-1", "iM.data_GAAGCCCCAGACCAAG-1", "iM.data_GCCGTGAGTAATCAGA-1", "iM.data_CAAGGGATCTTCCGTG-1", "iM.data_ACCCTCATCGTAGGGA-1", "iM.data_GAGACTTTCTAGTACG-1", "iM.data_CATGCAAAGGTTACAA-1", "iM.data_GCACTAATCAGCTGTA-1", "iM.data_CAACCAAGTGATACAA-1", "iM.data_TCGGGACCATGCCATA-1", "iM.data_ATGGTTGAGCACACAG-1", "iM.data_TGAACGTAGCCAGTAG-1", "iM.data_TTGTTGTCAATGTTGC-1", "iM.data_AGTAGTCGTGCCAAGA-1", "iM.data_TTCTCTCGTGTATTGC-1", "iM.data_TCGCTCAGTTGTGTTG-1", "iM.data_CGGGTGTAGTGGTGGT-1", "iM.data_TCGTAGACACAAACGG-1", "iM.data_TGGGCTGGTTCATCTT-1", "iM.data_AGTAGTCGTCTTGCGG-1", "iM.data_TGATGCACAGCTCCTT-1", "iM.data_TACGCTCTCTGTGCGG-1", "iM.data_GGATGTTCATATTCGG-1", "iM.data_GAGTCTAGTAGATGTA-1", "iM.data_CTAAGTGGTGTCACAT-1", "iM.data_GATTCGAAGCGTGAGT-1", "iM.data_TCAGTTTAGTCGGCCT-1", "iM.data_GGCTGTGTCACCACAA-1", "iM.data_TGTAGACTCTTGCAGA-1", "iM.data_CCGTTCAGTGAAGCGT-1", "iM.data_CTCCCAACAACAAAGT-1", "iM.data_TCATTTGGTGAAAGTT-1", "iM.data_TAACTTCAGGATTTGA-1", "iM.data_TTGAGTGGTGTGTGTT-1", "iM.data_TTGCCTGAGATTGACA-1", "iM.data_TCTGGCTCATATGCGT-1", "iM.data_TACCGAAAGAGTCTTC-1", "iM.data_TTTACGTCAGAACTCT-1", "iM.data_TTGCATTTCCAGTGCG-1", "iM.data_CGGGTGTTCCGCGATG-1", "iM.data_GAAGTAATCGCCTAGG-1", "iM.data_ATGACCAAGATTGGGC-1", "iM.data_CCTCACATCGATACTG-1", "iM.data_GCCGTGATCTGGGCAC-1", "iM.data_AGAGCCCGTTGGTACT-1", "iM.data_GAGTGAGTCGGTGCAC-1", "iM.data_GTAGAGGTCCATATGG-1", "iM.data_ACTACGAAGTCGCCCA-1", "iM.data_GTGTCCTTCTAGTCAG-1", "iM.data_CCATAAGAGAGTTGTA-1", "iM.data_TATCTGTCAGTTTCGA-1", "iM.data_GGAAGTGTCATAGCAC-1", "iM.data_AGGCTGCGTCCTCCTA-1", "iM.data_TGAGACTTCTGTCCGT-1", "iM.data_GAGAAATCATCCGAGC-1", "iM.data_GTCCCATCATTACTCT-1", "iM.data_AGCGATTTCGATAACC-1", "iM.data_GTTCGCTAGAGATTCA-1", "iM.data_TAGATCGGTTGACTAC-1", "iM.data_TAATTCCGTAAGGTCG-1", "iM.data_ATGTCTTGTGATACCT-1", "iM.data_CTGTAGACAGATAAAC-1", "iM.data_GATGATCAGATGACCG-1", "iM.data_TGAGCATCATCGTGGC-1", "iM.data_ATCTCTAAGAGGGTGG-1", "iM.data_AGAACCTAGATGCCGA-1", "iM.data_GTAATGCGTTTAGTCG-1", "iM.data_CGTGTCTAGACTTCAC-1", "iM.data_CCCTCTCAGTAACGTA-1", "iM.data_GTAACCATCCCAGGCA-1", "iM.data_AGGACTTGTGCTTATG-1", "iM.data_AGGTGTTTCAGCTGTA-1", "iM.data_GATTGGTGTCCGAAGA-1", "iM.data_ATTCATCTCGCAATGT-1", "iM.data_CGAATTGGTTACCTGA-1", "iM.data_CCACAAACACTCGATA-1", "iM.data_CTAAGTGAGTTTCGGT-1", "iM.data_CTTCCGACAGAGGTTG-1", "iM.data_ATGGGAGGTATGAAAC-1", "iM.data_ACAGAAACAGAACTAA-1", "iM.data_CAGAGCCGTGATAGTA-1", "iM.data_TTGAGTGTCTGGCCTT-1", "iM.data_ATGGTTGAGATGAAGG-1", "iM.data_ACACGCGGTGTTAAAG-1", "iM.data_TGCGACGTCGTTCTCG-1", "iM.data_GAAGCCCAGTCCCGGT-1", "iM.data_ATTACCTTCTCTGGTC-1", "iM.data_CTAGGTACATCCAACA-1", "iM.data_CAACAACCACGACGTC-1", "iM.data_ATGGAGGGTCGTCATA-1", "iM.data_CGTGCTTTCCTCATAT-1", "iM.data_CTGGACGTCTGAGAGG-1", "iM.data_TCAGTCCCAAGGCCTC-1", "iM.data_AGTACTGCAAGAGTTA-1", "iM.data_AGATGAAAGGTAGATT-1", "iM.data_AGATGCTTCTATGTGG-1", "iM.data_TCCGGGAGTAGTTACC-1", "iM.data_AAACGCTAGGCTAGCA-1", "iM.data_AACGAAAGTCATCGCG-1", "iM.data_TTGGGTAGTCTACACA-1", "iM.data_GTCTGTCCACGACAGA-1", "iM.data_TCGGGACAGGACAGCT-1", "iM.data_TGCGGCAAGAGCAGCT-1", "iM.data_AAAGAACGTAGACACG-1", "iM.data_CCTAAGAGTGATCGTT-1", "iM.data_CCCGGAAGTTTCACAG-1", "iM.data_GAATCGTAGTGACACG-1", "iM.data_GAGTTTGGTCGTGCCA-1", "iM.data_GCGTTTCTCCCACAGG-1", "iM.data_GTGCTTCCACAATGCT-1", "iM.data_GGTTAACGTTCCCACT-1", "iM.data_TTTCATGGTATCGTTG-1", "iM.data_CTCTCGAAGTTGGCTT-1", "iM.data_CCACGTTAGGGTTAGC-1", "iM.data_ATCACAGAGGGTAATT-1", "iM.data_ATCGTGAGTTGAGAGC-1", "iM.data_CTCCATGAGTGAGTTA-1", "iM.data_CGATCGGGTCCAGGTC-1", "iM.data_TAAGTCGAGGATGAGA-1", "iM.data_AAGCGTTTCCAGTGTA-1", "iM.data_GGATCTAAGCAGGCAT-1", "iM.data_CAGTGCGTCTACTGCC-1", "iM.data_ACCATTTGTAGGGAGG-1", "iM.data_CATCGGGGTCCCGTGA-1", "iM.data_GTTACGACAGCAGTTT-1", "iM.data_GTTACGAGTCGGTGAA-1", "iM.data_AGGGCCTTCACAAGGG-1", "iM.data_AGCGATTGTCCAGCGT-1", "iM.data_AAAGTCCCAAGTGGTG-1", "iM.data_CAAGCTATCCACGTCT-1", "iM.data_TGATCTTGTTCGTAAC-1", "iM.data_GCGAGAATCTCCGATC-1", "iM.data_TAACTTCCATAGATGA-1", "iM.data_ACATCGAGTAGACTGG-1", "iM.data_AGAAATGAGTCAACAA-1", "iM.data_CCACCATGTGGTCTTA-1", "iM.data_TGCGACGGTATTAAGG-1", "iM.data_TATTTCGGTAATCAAG-1", "iM.data_CATCGCTGTCCGACGT-1", "iM.data_AAGAACACATGCACTA-1", "iM.data_ATCATTCTCATGGCCG-1", "iM.data_TTGCGTCCACGTCATA-1", "iM.data_CCTCATGTCAGCAATC-1", "iM.data_TCGCAGGAGCACCGTC-1", "iM.data_CGTGATAGTGGGAGAG-1", "iM.data_TGTTGAGTCTATCGTT-1", "iM.data_GTTCTATGTGCCAAGA-1", "iM.data_AATGGCTAGTCGGGAT-1", "iM.data_GTAGTACAGGTTATAG-1", "iM.data_GTGGAAGAGTCATAGA-1", "iM.data_GAAGCCCAGTATGACA-1", "iM.data_AAGACAATCAGGCGAA-1", "iM.data_CCAAGCGTCATAGACC-1", "iM.data_ACTATGGGTCAAATCC-1", "iM.data_CGTTAGAAGAGTTCGG-1", "iM.data_AATGACCGTAACCCGC-1", "iM.data_GCGTTTCGTGGCGCTT-1", "iM.data_TACGTCCTCTGCTAGA-1", "iM.data_TTTGATCGTAAGTTGA-1", "iM.data_ACAGCCGTCTAGTGTG-1", "iM.data_CCGGACACACCTTCGT-1", "iM.data_AGGAATATCGATACAC-1", "iM.data_TCGGATATCTGTACAG-1", "iM.data_CCTCAGTTCAGGCGAA-1", "iM.data_TCCTCCCCAAACGTGG-1", "iM.data_GGTTGTATCCTCACTG-1", "iM.data_GTAGTACAGAACTGAT-1", "iM.data_AAAGGGCGTTGGTGTT-1", "iM.data_CTGAATGCAGACCAAG-1", "iM.data_GACGTTAAGTTGGACG-1", "iM.data_GTTAGTGTCTCATGGA-1", "iM.data_ACGTAGTTCGTCAGAT-1", "iM.data_AGAGCAGAGGTCGTCC-1", "iM.data_GGTAATCGTGATATAG-1", "iM.data_CATTGTTAGGAAGTCC-1", "iM.data_CAGCCAGAGTGGAAGA-1", "iM.data_AGACAAAAGGTATAGT-1", "iM.data_TACACCCAGATTGGGC-1", "iM.data_CGGAACCCAGCTTTGA-1", "iM.data_CGAGAAGTCCACTAGA-1", "iM.data_GTGATGTCATACTGTG-1", "iM.data_TGGTAGTAGAGGGTAA-1", "iM.data_ATTCTACAGAGCAAGA-1", "iM.data_GAACGTTGTCGGTAAG-1", "iM.data_ACCACAAAGTATGGAT-1", "iM.data_ATGTCTTGTCAAGCGA-1", "iM.data_GGAGGATAGATACTGA-1", "iM.data_TGTTCTAGTCGGTAAG-1", "iM.data_CTCGAGGCATTGCTGA-1", "iM.data_AACAAGAAGAGAGCCT-1", "iM.data_ATCGGCGCAGCGGTCT-1", "iM.data_ACGTAGTGTGAATTGA-1", "iM.data_ATGAGGGTCTATTCGT-1", "iM.data_GCCAGCAAGTATGCAA-1", "iM.data_GTCATGATCACCTGTC-1", "iM.data_CCGGGTATCATCGGGC-1", "iM.data_GTTACGAGTTGTATGC-1", "iM.data_TCCTTCTAGATAGGGA-1", "iM.data_TACTTGTTCTGTCCCA-1", "iM.data_GAGCCTGGTACTCGAT-1", "iM.data_GACAGCCTCCTTTGAT-1", "iM.data_CTGGTCTGTACGATTC-1", "iM.data_TGTGATGCAGGCTACC-1", "iM.data_CCGTGAGCAATACGCT-1", "iM.data_GTCAAGTAGAAGGATG-1", "iM.data_TTTGTTGGTTTGGGAG-1", "iM.data_AAACGCTGTGATGTAA-1", "iM.data_GTCATCCAGTTGCGCC-1", "iM.data_CAGTTAGGTTGTACGT-1", "iM.data_CACGGGTTCGGCGATC-1", "iM.data_GAAATGACACGCGTGT-1", "iM.data_TTGAACGTCCGCGATG-1", "iM.data_GTGTAACAGATTAGTG-1", "iM.data_CTCAATTTCGGTCTAA-1", "iM.data_CACGGGTGTAACTGCT-1", "iM.data_ACCATTTAGGGCTTCC-1", "iM.data_TTGTTCAGTAGGTAGC-1", "iM.data_TGAGGAGCAGTGTGGA-1", "iM.data_TTTCGATTCTGATGGT-1", "iM.data_GTATTTCGTTACCGTA-1", "iM.data_GACGCTGGTAACGGTG-1", "iM.data_ATCCTATTCTGCATAG-1", "iM.data_GAAGCCCCAACCCGCA-1", "iM.data_TCATTCAAGTACCGGA-1", "iM.data_ACTTCCGAGAGATGCC-1", "iM.data_ACGTTCCCAATCGCGC-1", "iM.data_CTTCAATCATTCAGGT-1", "iM.data_CCCTAACAGCCTGTCG-1", "iM.data_CTGGCAGGTCATCGGC-1", "iM.data_TTACTGTCAAAGGCGT-1", "iM.data_GGAAGTGGTTCAAGTC-1", "iM.data_CTTTCAAAGAAGGGAT-1", "iM.data_TGCTCGTAGGGTGGGA-1", "iM.data_AGGGAGTAGCTGAGTG-1", "iM.data_CGGAACCGTTTAGAGA-1", "iM.data_AACTTCTGTAGCACAG-1", "iM.data_CCCGAAGCAAGATGTA-1", "iM.data_GTCACTCGTCAACATC-1", "iM.data_TGCATGACAAGACCTT-1", "iM.data_CAGTGCGCAAGTGGGT-1", "iM.data_CTGGCAGGTGCTTATG-1", "iM.data_ATGAGGGCAGCAGTAG-1", "iM.data_TACAGGTAGACATGCG-1", "iM.data_ACAGAAACATGACGAG-1", "iM.data_GATCAGTCAATTTCGG-1", "iM.data_CATCGGGTCGGTCTGG-1", "iM.data_ACCAACAAGGAATCGC-1", "iM.data_GTCTACCAGTGGACTG-1", "iM.data_CACTGAACAGCTTCCT-1", "iM.data_TGGTTAGGTGTGAGCA-1", "iM.data_GTCACGGCATGTGACT-1", "iM.data_GCAGCTGTCACCTCTG-1", "iM.data_CGGAATTGTTCGGCTG-1", "iM.data_GCCAGTGAGGATGAGA-1", "iM.data_ATAGAGAGTAATCAAG-1", "iM.data_GTCATCCGTGTGAATA-1", "iM.data_CCGGTGACATTCCTCG-1", "iM.data_CCGGTGAGTCAGCGTC-1", "iM.data_GCCAGCAGTGAGATAT-1", "iM.data_GGTTAACGTCGTGGTC-1", "iM.data_GCTCAAAAGTGCAAAT-1", "iM.data_GTTGTCCCAAGTGGGT-1", "iM.data_CCGGTGACAGTTGCGC-1", "iM.data_ACACCAACAAGACGAC-1", "iM.data_CTATAGGGTCGACGCT-1", "iM.data_GACTGATGTAGCCCTG-1", "iM.data_GGGAAGTTCTGGCCTT-1", "iM.data_TGGGCGTCAGTTAGAA-1", "iM.data_CACTGGGTCCGCGATG-1", "iM.data_AAGGTAAGTTATGTCG-1", "iM.data_AAGTCGTTCGACTCCT-1", "iM.data_CTAGGTAAGGATATAC-1", "iM.data_AAGACTCCAGTCGCTG-1", "iM.data_GGTGTTATCTCGGCTT-1", "iM.data_GTCCCATAGCCTCTTC-1", "iM.data_ACGTTCCCACATATCG-1", "iM.data_TAACTTCAGGAGTATT-1", "iM.data_TGGGAGACAATAGTAG-1", "iM.data_CATACAGTCGGTCTAA-1", "iM.data_CAGCACGCATCATCTT-1", "iM.data_TGTTCTATCTAGTGTG-1", "iM.data_AACCTGAAGCGAGGAG-1", "iM.data_GAGAAATTCTCGAGTA-1", "iM.data_CTTCTAAGTGCCTATA-1", "iM.data_CCAAGCGCACTATGTG-1", "iM.data_TGTTTGTTCCTCCACA-1", "iM.data_TGGTTAGGTACAGCGA-1", "iM.data_CATACTTGTGTTAACC-1", "iM.data_CTACAGAAGAACAGGA-1", "iM.data_GTTCATTTCTTTCGAT-1", "iM.data_GAGGGTATCTCCCAAC-1", "iM.data_CCTAAGATCCACGTCT-1", "iM.data_GGTGTCGTCACGAACT-1", "iM.data_CAAGCTACAGAGCTAG-1", "iM.data_GAGTTTGCAGTCCCGA-1", "iM.data_GCATTAGCAGGGATAC-1", "iM.data_GCATCGGCACGACCTG-1", "iM.data_TTGGGATAGCGACCCT-1", "iM.data_AGGTTGTAGGGTACGT-1", "iM.data_TCGAAGTAGTGCCTCG-1", "iM.data_AGGTTACAGTAACGTA-1", "iM.data_GAATCGTTCGCTCCTA-1", "iM.data_ACGGTCGCAAGCACAG-1", "iM.data_ATTGGGTGTGGTCTGC-1", "iM.data_TGAGTCAGTAAGTCAA-1", "iM.data_TTACGTTAGGCCTAGA-1", "iM.data_CATCCACCATGGGTCC-1", "iM.data_CATTGCCTCTCGCTCA-1", "iM.data_AACCCAACACCTCGTT-1", "iM.data_CTTGATTGTCTTTCAT-1", "iM.data_GCCATGGTCGGAGTGA-1", "iM.data_CTGAGCGCAATAACCC-1", "iM.data_CTATAGGAGTACGAGC-1", "iM.data_CTGCGAGAGACAACAT-1", "iM.data_CTGTAGATCTCATTGT-1", "iM.data_GCTTGGGTCTATACGG-1", "iM.data_TATTGCTGTAAGTTGA-1", "iM.data_AATCACGTCTATTCGT-1", "iM.data_GACCGTGAGGACTGGT-1", "iM.data_TGGGAGACAAATGGAT-1", "iM.data_TCAGTGAAGGATCATA-1", "iM.data_CTCATTAAGTGATTCC-1", "iM.data_GGGATGAGTGTCGATT-1", "iM.data_CGTAGTATCTGCACCT-1", "iM.data_GGTCACGGTAATGCTC-1", "iM.data_TTTATGCGTATACCCA-1", "iM.data_GATGGAGCACCTGCTT-1", "iM.data_GGGTGAATCCAGTGCG-1", "iM.data_TCACTCGTCTACACTT-1", "iM.data_ACCGTTCAGGATTACA-1", "iM.data_GCGTGCACACAGAGAC-1", "iM.data_GGGATCCGTGTTCGTA-1", "iM.data_GCATCTCAGGAATGTT-1", "iM.data_GATAGAAGTCAAAGTA-1", "iM.data_AGCGTATAGCACTAGG-1", "iM.data_TAAGCACTCGTGTGGC-1", "iM.data_AGGTCATTCGAAGAAT-1", "iM.data_GTTATGGAGCAGGCAT-1", "iM.data_AATGCCAGTGTGATGG-1", "iM.data_TGCATGATCGCAGTGC-1", "iM.data_CACTGGGGTGGAAATT-1", "iM.data_CAAAGAAAGGCTTAGG-1", "iM.data_AGCGTATCATGGAAGC-1", "iM.data_GTTCGCTAGCGTCAAG-1", "iM.data_TCGCTCAAGGCTTAGG-1", "iM.data_TGCGGGTTCGTGACTA-1", "iM.data_GGCTTTCAGGTCGTAG-1", "iM.data_ACTTATCAGTGGAAGA-1", "iM.data_GTCATTTGTGACTAAA-1", "iM.data_CTAACCCCATGAAGGC-1", "iM.data_TTCACCGGTCGTATTG-1", "iM.data_GATTTCTGTGCCTGCA-1", "iM.data_TGCCGAGCAACCACAT-1", "iM.data_CTACGGGCATGCCGCA-1", "iM.data_TGGGTTAAGTGATAAC-1", "iM.data_GACATCAGTCGGATTT-1", "iM.data_TGGGCGTCAAGTGTCT-1", "iM.data_TGCAGTATCATTACTC-1", "iM.data_AGGATCTAGTGGTTGG-1", "iM.data_ATAGAGATCAGCTTGA-1", "iM.data_TGCTGAATCTACCAGA-1", "iM.data_CGAATTGAGAGTTGTA-1", "iM.data_GTTGCGGTCAGGTAAA-1", "iM.data_TGGAGAGAGAGGGTAA-1", "iM.data_GGACGTCTCCATTCAT-1", "iM.data_TCTTTGAAGAAGCGAA-1", "iM.data_CTTCTAAAGACTGAGC-1", "iM.data_CACTGGGAGGTACTGG-1", "iM.data_TAGCACAAGGATATGT-1", "iM.data_TGTGTGAAGATGGTCG-1", "iM.data_GCTTGGGCAATTGCGT-1", "iM.data_AATGACCGTTGCCGAC-1", "iM.data_CCGTAGGAGGAATGTT-1", "iM.data_TGTCAGAGTAGCTTGT-1", "iM.data_CATCCGTAGGTTACAA-1", "iM.data_GTTGCGGAGTAGACCG-1", "iM.data_CTCAAGAGTTGGACTT-1", "iM.data_CCTCACATCACCTTAT-1", "iM.data_GAAGGACAGTGTCATC-1", "iM.data_GTGTTCCCAACGGCCT-1", "iM.data_TAGGTACGTATGCAAA-1", "iM.data_ATTCCATGTCTCAAGT-1", "iM.data_GTGAGTTTCTCGTTTA-1", "iM.data_TGATGGTGTATTCCTT-1", "iM.data_GTGGCGTGTGGATACG-1", "iM.data_TGTCAGAAGCACAAAT-1", "iM.data_TGATTCTGTTGCAACT-1", "iM.data_AGTAGTCTCGAGTTGT-1", "iM.data_CCTGCATGTACAGTTC-1", "iM.data_TTTGGTTCATGTCGTA-1", "iM.data_GTTACAGGTTGCATAC-1", "iM.data_GAAGAATCAATCCTAG-1", "iM.data_GTAGAAAAGGTCTTTG-1", "iM.data_AATCACGTCTTCCTAA-1", "iM.data_TTCATTGAGAATCGCG-1", "iM.data_TGATTCTGTCGTCGGT-1", "iM.data_AGCGCCACATTGACCA-1", "iM.data_TGCCGAGTCTGGCCTT-1", "iM.data_TGTTTGTGTCCCTAAA-1", "iM.data_TAACTTCGTATCTCTT-1", "iM.data_TTCTTCCGTCCTACGG-1", "iM.data_TAAGTCGCATGGAACG-1", "iM.data_TGTTCCGTCTACTGAG-1", "iM.data_CGTGAATAGTAATACG-1", "iM.data_TACGCTCGTATGCTTG-1", "iM.data_ACTTTCACACACCTGG-1", "iM.data_CTTTCGGGTGTATTGC-1", "iM.data_AGTCAACGTCGTGGAA-1", "iM.data_GTCACGGGTGTGGTCC-1", "iM.data_TCTTCCTCAGAGGCTA-1", "iM.data_TCTATCAAGCTCTATG-1", "iM.data_CAGATACTCGTGGCTG-1", "iM.data_GTACAGTGTAACGATA-1", "iM.data_AACAGGGAGACTCTTG-1", "iM.data_AGCGTATGTTGATGTC-1", "iM.data_GAGACTTCATTGTGCA-1", "iM.data_TCTGCCAGTCTGTGTA-1", "iM.data_AAGTGAAGTGTGATGG-1", "iM.data_ACGATCAAGTCTGCAT-1", "iM.data_CTCCACAGTCACTGAT-1", "iM.data_GGGCTCACAATTGCGT-1", "iM.data_GGAAGTGGTTAGGGTG-1", "iM.data_TCAATCTCAGCGGATA-1", "iM.data_CTACGGGGTTTAGAGA-1", "iM.data_TCTACCGCAACTTCTT-1", "iM.data_GCCTGTTGTTCGGTCG-1", "iM.data_TTGTGGAGTGAATGAT-1", "iM.data_ACCCAAAAGTGGACGT-1", "iM.data_ACTTCGCGTTGCCAAT-1", "iM.data_AGTACCAAGGGTTTCT-1", "iM.data_TGGTGATTCGCTGATA-1", "iM.data_TTCAGGAAGTCATACC-1", "iM.data_CATCAAGCATTGACTG-1", "iM.data_GACTATGAGTGATCGG-1", "iM.data_ATCCGTCCAGGAACCA-1", "iM.data_GAATAGAGTGGAAGTC-1", "iM.data_ACCCTTGTCATCGCCT-1", "iM.data_TATTGGGGTTGAGAGC-1", "iM.data_CCCGGAATCTATTGTC-1", "iM.data_TTCCTAACAGCGTATT-1", "iM.data_ATCAGGTTCGTGAGAG-1", "iM.data_GTCACGGTCCCATACC-1", "iM.data_CTGTGGGGTGTTCGTA-1", "iM.data_CAAGGGAAGAGCAAGA-1", "iM.data_GAATAGACAGACAAAT-1", "iM.data_CGGGTCAGTATCACCA-1", "iM.data_GTTAGACTCACAATGC-1", "iM.data_ATGAGGGAGTTACGAA-1", "iM.data_AGTACTGAGGGCCTCT-1", "iM.data_GATCGTAGTATTGACC-1", "iM.data_AGGTAGGTCAACGCTA-1", "iM.data_GAATCGTTCGCAGTTA-1", "iM.data_TGACAGTAGAGTTGAT-1", "iM.data_TCATTGTCAACTTGCA-1", "iM.data_CATCGTCGTTGTAAAG-1", "iM.data_TACCCGTTCTGCCTGT-1", "iM.data_CACCGTTAGACGGAAA-1", "iM.data_ACAACCAGTGAGACGT-1", "iM.data_AAAGTGAGTTCAAAGA-1", "iM.data_AAAGGGCGTCTACATG-1", "iM.data_TATACCTAGACGTCCC-1", "iM.data_GCTACCTTCAAGCTGT-1", "iM.data_TCTAACTTCAAGAATG-1", "iM.data_ACGCACGTCTAGTGTG-1", "iM.data_CAAGGGATCCACGTCT-1", "iM.data_CTGCATCGTCCGCAGT-1", "iM.data_AGGTTACCAGAAATTG-1", "iM.data_AGCGCTGTCTGAGAGG-1", "iM.data_CTCTGGTCAAGAGTGC-1", "iM.data_CGTAAGTTCATTTGTC-1", "iM.data_TCAATTCTCGGCATAT-1", "iM.data_CTAACTTAGCAAGTGC-1", "iM.data_AAAGTCCAGCCATATC-1", "iM.data_CTCATCGGTGTGTGTT-1", "iM.data_CTAGACAAGATGTTAG-1", "iM.data_ACGTACAGTAGATTGA-1", "iM.data_ATTCTACAGCGATGGT-1", "iM.data_CGCATAACAAGTGGAC-1", "iM.data_GCCATTCGTACGAAAT-1", "iM.data_ATGGGAGGTTAAACCC-1", "iM.data_AAGGAATGTGGAAATT-1", "iM.data_GGAGGTATCTAGCCTC-1", "iM.data_TTTCACATCGGAACTT-1", "iM.data_GTGGGAAGTCGGATTT-1", "iM.data_CTGGCAGAGGTTATAG-1", "iM.data_GCTACCTGTGGGAGAG-1", "iM.data_TGGTGATTCCATTGGA-1", "iM.data_TATCTTGCAATGCTCA-1", "iM.data_GATAGCTAGTGTTGTC-1", "iM.data_ACTTCGCGTTCTCCCA-1", "iM.data_GGGATCCGTCCTGGTG-1", "iM.data_CCACGTTCAAGACCTT-1", "iM.data_GTGGTTATCGTGCGAC-1", "iM.data_CGAGTGCTCCGATCGG-1", "iM.data_TCTGCCAGTCAACATC-1", "iM.data_GGGTGAATCAGACAAA-1", "iM.data_CTCGAGGAGGGCTGAT-1", "iM.data_AGTGATCGTCGTTGGC-1", "iM.data_CACTAAGTCAGCAGAG-1", "iM.data_AACCATGAGTTGCGCC-1", "iM.data_ATCGTCCTCGCCAATA-1", "iM.data_GGGCTACTCTAACGGT-1", "iM.data_CGTAGTACAAGGAGTC-1", "iM.data_CACTAAGGTAGAGTTA-1", "iM.data_GGGCGTTGTTGTAAAG-1", "iM.data_TTTCACAGTTATCCAG-1", "iM.data_TTTGGTTCACCAGCGT-1", "iM.data_GTTATGGAGTTAGAAC-1", "iM.data_GTTTGGAAGGCATTTC-1", "iM.data_TTGCTGCAGACCCGCT-1", "iM.data_TTCGATTGTAAGGCTG-1", "iM.data_ATGCATGTCCTGGGAC-1", "iM.data_GAAGGACGTTAAGGGC-1", "iM.data_CGAAGTTTCTCACGAA-1", "iM.data_GTGAGGATCGTCTCAC-1", "iM.data_GAATAGATCCGTGTGG-1", "iM.data_TGTGTGAGTTCTTAGG-1", "iM.data_TCTCCGACAAACTCGT-1", "iM.data_CTCTGGTCACGACAAG-1", "iM.data_TACCTGCTCCTAAGTG-1", "iM.data_CATAAGCAGGCCTGCT-1", "iM.data_TTCCTAAGTCGGCACT-1", "iM.data_TCGAACACACGTCGGT-1", "iM.data_GCCAGCAGTGTTAGCT-1", "iM.data_CCCATTGAGGTCGTGA-1", "iM.data_GGGCGTTAGAGCTGAC-1", "iM.data_GAGATGGGTCAACCAT-1", "iM.data_GCAACATAGCCATTGT-1", "iM.data_TGGTACAGTACTGACT-1", "iM.data_CAGTGCGTCAGCTTGA-1", "iM.data_CGGCAGTGTGACGCCT-1", "iM.data_TTGCGTCTCCAAGGGA-1", "iM.data_GCACGGTCAGCCCAGT-1", "iM.data_TAGTGCAAGCTAGAGC-1", "iM.data_GCAGCCAGTAGGACCA-1", "iM.data_GAGGGTATCCACAGCG-1", "iM.data_GGTAACTGTCGTCAGC-1", "iM.data_GATCAGTCAGAGGACT-1", "iM.data_CTCATTAGTGGCTCTG-1", "iM.data_ATCAGGTGTTTGTTGG-1", "iM.data_TGAATCGCAGGGCTTC-1", "iM.data_GAGACTTAGGCCACCT-1", "iM.data_TACCTGCAGGATATAC-1", "iM.data_TTCGATTGTTGCGTAT-1", "iM.data_GGGAAGTGTACTCCGG-1", "iM.data_GGAGGATAGTTCTACG-1", "iM.data_AAAGAACAGAGAATCT-1", "iM.data_TACATTCGTCCTGGGT-1", "iM.data_TTTACTGGTCACCGCA-1", "iM.data_AGTAGCTCACATGGTT-1", "iM.data_GTCCCATCATAACTCG-1", "iM.data_TACTTACCAGGTTCGC-1", "iM.data_GTGCAGCAGACCTGGA-1", "iM.data_CATTCATGTCGGTGTC-1", "iM.data_GGGAAGTTCTAGAACC-1", "iM.data_TGTGATGAGAAACTAC-1", "iM.data_GTGTCCTGTATCGGTT-1", "iM.data_GGATCTAGTAACATGA-1", "iM.data_ACTGTCCAGTGGGAAA-1", "iM.data_AGAAGCGGTAGACGTG-1", "iM.data_GAAGCGATCTCTTAAC-1", "iM.data_GCAGGCTGTGACTAAA-1", "iM.data_TCTGCCACATAGGTAA-1", "iM.data_TTTCAGTTCTCTGAGA-1", "iM.data_GACTCTCAGTACGTCT-1", "iM.data_GGCGTCACAAATCGGG-1", "iM.data_TTTACTGAGTTGAATG-1", "iM.data_TATTGGGTCCGCGAGT-1", "iM.data_TCACTATGTACGACAG-1", "iM.data_GTAGCTAAGTCTGCGC-1", "iM.data_GGAGGTACAATTGCCA-1", "iM.data_CGCATGGGTACGTGTT-1", "iM.data_GATTCTTAGGTCCCGT-1", "iM.data_AGCGTATAGTCTTGGT-1", "iM.data_AGACAAAAGAGTCTTC-1", "iM.data_CTATCCGAGTGATAGT-1", "iM.data_TTAGTCTGTTGGGCCT-1", "iM.data_AGATAGAAGGCGAACT-1", "iM.data_ATTCAGGCAGGGAATC-1", "iM.data_AGTCACATCAGGACGA-1", "iM.data_CTAACTTAGTAGATCA-1", "iM.data_TTGGGATGTGCTCTCT-1", "iM.data_GTTATGGGTCGGCCTA-1", "iM.data_AGCATCACATCTGCGG-1", "iM.data_GCAGCCAAGCCTTTGA-1", "iM.data_CGAGAAGAGTTGAAGT-1", "iM.data_CCACTTGGTGTCATTG-1", "iM.data_GTGGAAGCATCCAATG-1", "iM.data_GGTAGAGAGTTGCGCC-1", "iM.data_AGGTAGGGTGATGTAA-1", "iM.data_CGGAATTTCAGGAAGC-1", "iM.data_AACCTTTGTGTGTTTG-1", "iM.data_AAGTACCTCGTGTGGC-1", "iM.data_GTTCGCTGTGTTCAGT-1", "iM.data_GTGTTAGCAGTGTACT-1", "iM.data_GCTTCACTCAGCGCAC-1", "iM.data_TGAGTCACATCGGCCA-1", "iM.data_CAATACGGTATTGCCA-1", "iM.data_TCGCAGGGTTCCTTGC-1", "iM.data_CAAGGGATCCTAAACG-1", "iM.data_CTACCCATCAGCATTG-1", "iM.data_GTCTGTCGTTGGTAGG-1", "iM.data_CTGGTCTCATACCAGT-1", "iM.data_CTAACTTTCATGAGTC-1", "iM.data_TGGAGGACACAACGTT-1", "iM.data_CTCTCGACAGTTGGTT-1", "iM.data_GTTGCTCTCTCTCTTC-1", "iM.data_ACACTGACAAGTTTGC-1", "iM.data_CTATCCGAGTGCCAGA-1", "iM.data_CCATCACAGGTTAGTA-1", "iM.data_GCGTTTCCAACAGAGC-1", "iM.data_CATCCGTGTGTACGCC-1", "iM.data_GTTGAACTCGGCATTA-1", "iM.data_GTCAGCGTCCTAGAGT-1", "iM.data_GGTTGTAGTAGGTAGC-1", "iM.data_GATCACAAGAAAGCGA-1", "iM.data_AGACCCGAGTCGCCAC-1", "iM.data_GTCTGTCGTGATTAGA-1", "iM.data_CCCGGAAGTATGCTAC-1", "iM.data_TGAGGTTGTATCCCTC-1", "iM.data_GCAACCGAGTGAGGTC-1", "iM.data_AAAGAACCAGCGTGAA-1", "iM.data_AATTTCCAGGTTCACT-1", "iM.data_TTGCTGCTCGATTTCT-1", "iM.data_TTGTGGATCTGCGGAC-1", "iM.data_GGCTTGGAGCACTAAA-1", "iM.data_GGGATCCAGTGCACAG-1", "iM.data_CAACAGTCAATCTGCA-1", "iM.data_TCTATCAAGAGTGGCT-1", "iM.data_TCTAACTAGGTGCTAG-1", "iM.data_CATTCTATCCTGTACC-1", "iM.data_AAGCGTTAGGGTGAAA-1", "iM.data_GTTGTAGAGTGAGTGC-1", "iM.data_TGAGTCAGTCGAAACG-1", "iM.data_CAAAGAACATCGTTCC-1", "iM.data_GTATTTCTCGGAGTGA-1", "iM.data_AATCACGGTTCTCCCA-1", "iM.data_CATAGACCAGCATGCC-1", "iM.data_TACCTGCTCATGAGAA-1", "iM.data_CTGCAGGGTGCCTGCA-1", "iM.data_TATTTCGCAAGGACAC-1", "iM.data_TCATTACGTTTCGTTT-1", "iM.data_AGCGTATGTACGTGAG-1", "iM.data_GTCCACTAGTTTGGCT-1", "iM.data_TTACCGCTCGCCGAGT-1", "iM.data_TGCGACGAGGTGCATG-1", "iM.data_TCACATTTCGATGCTA-1", "iM.data_TGTGTGACATGTGGCC-1", "iM.data_TTCCACGGTTAACCTG-1", "iM.data_ACAGAAAAGATGAAGG-1", "iM.data_TCGTAGACACCGAATT-1", "iM.data_TGTGGCGGTTAAACAG-1", "iM.data_TGTTCTAGTTTGTTGG-1", "iM.data_CCTAACCTCGAAGTGG-1", "iM.data_CGGGTGTGTGCACATT-1", "iM.data_CCACAAAAGTAGGCCA-1", "iM.data_AGAGCAGAGACGGTTG-1", "iM.data_GTTACCCCACGGCCAT-1", "iM.data_GTACAACGTGCCGGTT-1", "iM.data_GTCCCATTCGTCGCTT-1", "iM.data_AATCGACCAACCGGAA-1", "iM.data_CCTCTAGCATGAAGCG-1", "iM.data_AGTAGTCTCAGGCGAA-1", "iM.data_GACCCTTCACAACATC-1", "iM.data_AGGATAAAGAGACAAG-1", "iM.data_TTAGTCTGTACTGGGA-1", "iM.data_TCTCACGGTACACGTT-1", "iM.data_GTCATCCGTATAGGGC-1", "iM.data_AGGATCTGTTGGCCGT-1", "iM.data_TCTATCATCCTTCTAA-1", "iM.data_ACACGCGAGTAAACAC-1", "iM.data_TCCACCAGTGGAATGC-1", "iM.data_AACCTTTTCTTGCGCT-1", "iM.data_GTCATCCAGCCGTTGC-1", "iM.data_CGAATTGCAAGTCGTT-1", "iM.data_CGTAATGCACACTTAG-1", "iM.data_TCGCAGGGTCGAGCTC-1", "iM.data_GGGTGTCCAATAGGAT-1", "iM.data_TATCCTATCCGCGGAT-1", "iM.data_TGCGACGTCTATACGG-1", "iM.data_TGTAGACTCGTAACTG-1", "iM.data_GCAACCGGTGCGACAA-1", "iM.data_GTAACACGTCTTCTAT-1", "iM.data_AAAGGTAGTGTGTTTG-1", "iM.data_TCGGATAGTTGCTCGG-1", "iM.data_CACTGAACATCGATGT-1", "iM.data_CATCGCTCAAAGGCGT-1", "iM.data_CATGGATAGCGCCGTT-1", "iM.data_AAAGGTAGTGACCTGC-1", "iM.data_TCCTTTCGTTCAAGGG-1", "iM.data_GGGAGTACAGTCGCTG-1", "iM.data_TCACAAGTCCGGTAAT-1", "iM.data_AAGACTCGTTTAGACC-1", "iM.data_CCTCAACCACTAGAGG-1", "iM.data_AGTCTCCGTAGTCTTG-1", "iM.data_TTGGTTTTCACAAGAA-1", "iM.data_TTGAGTGGTTGCGAAG-1", "iM.data_TAGTGCATCCGTGGTG-1", "iM.data_TGAACGTGTGTATTGC-1", "iM.data_TTTACGTCATCCTTGC-1", "iM.data_TGATTCTAGGTAAACT-1", "iM.data_TGTTCCGGTATAGGGC-1", "iM.data_AACGGGATCTCGCTCA-1", "iM.data_GGAGGATTCCAGTGTA-1", "iM.data_TCGATTTCACTAGGTT-1", "iM.data_TTTCATGCAGTTACCA-1", "iM.data_CCCTAACAGGTTAAAC-1", "iM.data_GCATCTCAGGTCACAG-1", "iM.data_GCCATTCAGGTACTGG-1", "iM.data_CATTCTATCTGGGTCG-1", "iM.data_TTCCTCTCATCGGAGA-1", "iM.data_ACCTGTCGTGGCTTAT-1", "iM.data_AGACCATGTAGCGAGT-1", "iM.data_CTGGCAGGTCCCTCAT-1", "iM.data_TGTCAGATCAGACAAA-1", "iM.data_CATTCCGTCCGATGTA-1", "iM.data_CTTCCGAAGTTCACTG-1", "iM.data_AGTTCGACACCTTCGT-1", "iM.data_GCACGTGAGGTTGAGC-1", "iM.data_ATCGGATCAACTGAAA-1", "iM.data_AGGATCTAGGTTCTTG-1", "iM.data_GGCTTTCGTACCTATG-1", "iM.data_GAATCGTTCATTACGG-1", "iM.data_TGCTCCAAGGACTAAT-1", "iM.data_GCCCGAATCAAGGACG-1", "iM.data_AGGAAATAGAGTTGAT-1", "iM.data_TATTTCGAGAGAAGGT-1", "iM.data_CATTCATGTTTGTGGT-1", "iM.data_TAGGGTTGTACGTACT-1", "iM.data_ATCCGTCGTAGGTAGC-1", "iM.data_CCAATGAAGAAACTAC-1", "iM.data_GGGACTCGTCAAAGTA-1", "iM.data_GTGCAGCGTGATTGGG-1", "iM.data_ACAAGCTTCTCTGCCA-1", "iM.data_ACCTGAATCGAGATGG-1", "iM.data_ATCACTTAGTAGTCCT-1", "iM.data_ATCGCCTAGAGCGACT-1", "iM.data_CTTCTCTCAGTCTGGC-1", "iM.data_CGGGTGTCACGTAGAG-1", "iM.data_GCATCGGGTGCGGTAA-1", "iM.data_TGCAGGCGTAGTCTTG-1", "iM.data_TTCAATCGTAGGCAGT-1", "iM.data_GTAATCGGTTACCTGA-1", "iM.data_GGAAGTGCATAATCGC-1", "iM.data_CTGTAGACACTTCTCG-1", "iM.data_GGGCGTTGTCCTCCAT-1", "iM.data_GTGAGGAAGACCGTTT-1", "iM.data_CTTCAATCAAGACCGA-1", "iM.data_CTTCCTTGTGCCGTTG-1", "iM.data_CTATCCGTCCTGTTAT-1", "iM.data_AGATAGAAGCGATCGA-1", "iM.data_TTCGGTCCATTGCCTC-1", "iM.data_TGAGGGACAACCGTAT-1", "iM.data_CTATCTAGTTCGGTCG-1", "iM.data_GATGACTAGCAGTACG-1", "iM.data_CTGCATCCACCGGCTA-1", "iM.data_AGCTACATCCCTGGTT-1", "iM.data_AGCTTCCTCAACTGGT-1", "iM.data_CGGGACTAGCAATTCC-1", "iM.data_CATAGACGTACGCTTA-1", "iM.data_GTCTAGAGTCGCATCG-1", "iM.data_CTCCAACGTGATTAGA-1", "iM.data_GCGTGCAAGTAGCATA-1", "iM.data_CCCGGAATCCATACAG-1", "iM.data_TGGGTTAGTAGCTAAA-1", "iM.data_ATCACTTGTCGTAATC-1", "iM.data_TGAGGAGAGCGTTCAT-1", "iM.data_TGTGAGTGTCATCCCT-1", "iM.data_TTTGACTCATTCTGTT-1", "iM.data_TCGGGTGCACTTGGGC-1", "iM.data_AACGTCAGTGTGGACA-1", "iM.data_CACTGGGCATGTTTGG-1", "iM.data_GTAGAAAGTATCGTGT-1", "iM.data_CACTTCGAGAAATGGG-1", "iM.data_TGAACGTCAAGTGGAC-1", "iM.data_CCGAACGCAGCAAGAC-1", "iM.data_GGGATGAAGTATGACA-1", "iM.data_CGGGACTGTACGACAG-1", "iM.data_TCATTGTAGCGGGTAT-1", "iM.data_CTTCTAAAGCCTCATA-1", "iM.data_AGGGTGACACGTGTGC-1", "iM.data_GTGCGTGCACCTGATA-1", "iM.data_GTGGCGTCACGGGTAA-1", "iM.data_AGGTCTAGTGGCTCTG-1", "iM.data_TTGCGTCTCCTTCGAC-1", "iM.data_CTCACTGAGCTGTTCA-1", "iM.data_GAGGGTATCCTGGGTG-1", "iM.data_CTTGATTCATGCCGGT-1", "iM.data_CTTCTCTCAACGATCT-1", "iM.data_TCACGCTTCTACGGGC-1", "iM.data_AATGAAGGTCCCTGTT-1", "iM.data_ACATCGATCTGAGGTT-1", "iM.data_CATCCGTTCGGTAACT-1", "iM.data_CGCCATTAGGTATAGT-1", "iM.data_GTGTCCTCAAGGTTGG-1", "iM.data_GATTCTTCACGATAGG-1", "iM.data_GTAGTACGTGGGCTTC-1", "iM.data_GTGAGTTTCGCAGTTA-1", "iM.data_TACAACGAGCTCTATG-1", "iM.data_TTAGGCAGTTGACGGA-1", "iM.data_AGTACCAGTACGCGTC-1", "iM.data_GTAACCAAGTTGAAAC-1", "iM.data_TCCACGTAGGAACGCT-1", "iM.data_TTCTCTCTCCCAGCGA-1", "iM.data_CTGCTCAAGAAGATCT-1", "iM.data_ACATTTCTCTAAGAAG-1", "iM.data_AGTAACCCATGACGGA-1", "iM.data_GATCAGTAGAACTGAT-1", "iM.data_CATGCAACACGGGCTT-1", "iM.data_TCACTCGAGGATCACG-1", "iM.data_TCGCTCAGTGTTGACT-1", "iM.data_TACTTACTCAGGAACG-1", "iM.data_CCGTAGGAGGGCAATC-1", "iM.data_TAGTGCACACTCAGAT-1", "iM.data_GTGTGGCCAGCTGCCA-1", "iM.data_ATAGAGAGTTACCTGA-1", "iM.data_GTATTGGGTTGCATTG-1", "iM.data_CGTGCTTGTGGCATCC-1", "iM.data_GTTTACTCAGGTTACT-1", "iM.data_AACCATGTCGCGCCAA-1", "iM.data_GAACTGTCAATTCTTC-1", "iM.data_TGCAGATAGGTGATAT-1", "iM.data_TATCTTGTCTGTGTGA-1", "iM.data_CGATGCGTCCCACAGG-1", "iM.data_ACTTCCGAGCTCGACC-1", "iM.data_TCAGCAAGTGTCTTCC-1", "iM.data_CCCATTGCATTGGCAT-1", "iM.data_AATAGAGCAGGTACGA-1", "iM.data_TACTTGTAGGCCCGTT-1", "iM.data_ACATGCAAGCAGTAAT-1", "iM.data_AACGGGACACTCACTC-1", "iM.data_CCTCAGTGTGATCGTT-1", "iM.data_GTTACCCAGCGTGCTC-1", "iM.data_TTACAGGCACCAACAT-1", "iM.data_GAGGCCTGTCGAGCTC-1", "iM.data_TGTCAGAAGTTCTACG-1", "iM.data_TTACCATTCGCGTCGA-1", "iM.data_GTGTTCCGTCACTACA-1", "iM.data_TCATTACGTGCAACAG-1", "iM.data_AAGTTCGAGCAAACAT-1", "iM.data_CAGATACTCGTGCACG-1", "iM.data_ATTCACTCATTCGATG-1", "iM.data_TTACGCCGTCGACGCT-1", "iM.data_CTCCTCCGTTTAGTCG-1", "iM.data_TGGGCGTAGGATCATA-1", "iM.data_CCGATCTGTCAAAGAT-1", "iM.data_GAGTCATAGTTTCGGT-1", "iM.data_TGACTCCTCCCACAGG-1", "iM.data_CCATAAGAGGAGGTTC-1", "iM.data_TCATTACTCAGCACCG-1", "iM.data_GATTCGAAGCTGAAAT-1", "iM.data_GATCACAAGGATGCGT-1", "iM.data_GTTGTAGCAACGACAG-1", "iM.data_GGTTAACGTGCAACAG-1", "iM.data_GCAGTTATCCTGCTAC-1", "iM.data_CTAGACAGTATTCCGA-1", "iM.data_TTTGATCCAGGTCCCA-1", "iM.data_CAGATTGTCGGCCTTT-1", "iM.data_CCGGGTAGTCCATACA-1", "iM.data_TGTGATGGTTGCGGAA-1", "iM.data_CATCCGTAGCGCTTCG-1", "iM.data_ATCTTCAAGCTCGCAC-1", "iM.data_AGTACTGTCCCGAGTG-1", "iM.data_GGATCTATCCGATAAC-1", "iM.data_TTCACGCGTAGCGTAG-1", "iM.data_CAGCGTGCAAATGGTA-1", "iM.data_TGTGGCGGTGCCCACA-1", "iM.data_CACATGATCTTTGGAG-1", "iM.data_ACTATCTGTGGGCTCT-1", "iM.data_TGCTGAAAGCACGTCC-1", "iM.data_GAATAGATCCAATCTT-1", "iM.data_AGTTAGCAGGATAATC-1", "iM.data_ACTTATCGTATTTCTC-1", "iM.data_CATCGTCAGACCTGGA-1", "iM.data_GGGCCATCACTTTATC-1", "iM.data_CAGTGCGTCCACACCT-1", "iM.data_TCATTTGGTGAATATG-1", "iM.data_TTGGGATTCTGGGCGT-1", "iM.data_AATCGTGGTAGTCTTG-1", "iM.data_GTAGGAGAGTCATGGG-1", "iM.data_GTGCACGCACTCAGAT-1", "iM.data_TGTTACTAGCCGATTT-1", "iM.data_CTGATCCCAACGGTAG-1", "iM.data_TGCGACGGTGTGTTTG-1", "iM.data_GTCCACTCATCATGAC-1", "iM.data_CTCTGGTTCAATCTTC-1", "iM.data_CACGGGTGTCTGGTTA-1", "iM.data_ATTTCTGAGCATATGA-1", "iM.data_AGAAATGCAGTTTGGT-1", "iM.data_GAACGTTTCTGAGAGG-1", "iM.data_TGTGTGATCAAATGAG-1", "iM.data_TCGGGCAGTAACAGGC-1", "iM.data_CTTCGGTTCTACTGCC-1", "iM.data_TAGAGTCGTCAGTCTA-1", "iM.data_GATCATGAGTGATCGG-1", "iM.data_TCGATTTGTTGCGTAT-1", "iM.data_TCACTCGGTATCACGT-1", "iM.data_TACATTCAGCGTACAG-1", "iM.data_TGAGCATAGAAGCGCT-1", "iM.data_CAGAGCCCAAGACGGT-1", "iM.data_AGGAAATAGCCTGTCG-1", "iM.data_CACTTCGAGAGTTGTA-1", "iM.data_ATTGGGTTCCCTCGTA-1", "iM.data_CACTGAAGTAGGTACG-1", "iM.data_GCGATCGTCTCCCAAC-1", "iM.data_CTCATCGTCTAGCCTC-1", "iM.data_TAGACCATCGGCTTGG-1", "iM.data_TCGTAGATCCTACAAG-1", "iM.data_GTAACCACATATACCG-1", "iM.data_ACGTTCCGTCCCGCAA-1", "iM.data_GAATAGATCACCTCAC-1", "iM.data_CTAGGTACAAGAATGT-1", "iM.data_CCTCCAAGTGTGACCC-1", "iM.data_GATGAGGTCTCCGTGT-1", "iM.data_CCACTTGGTCGGTACC-1", "iM.data_TCATGGAGTGAGCCAA-1", "iM.data_GTCACGGGTGGAAGTC-1", "iM.data_AGCATCATCTTACCAT-1", "iM.data_CAGTTAGTCGTTATCT-1", "iM.data_CCGTAGGCACAGTGAG-1", "iM.data_CCACCATGTAAGTTGA-1", "iM.data_TCATGGAGTGCTGATT-1", "iM.data_CTAACTTTCAGGAAAT-1", "iM.data_CAGCAGCTCTCTGACC-1", "iM.data_TCAAGACTCTGCACCT-1", "iM.data_CCTCTAGGTTGGGACA-1", "iM.data_AATGCCAGTATCACCA-1", "iM.data_TTCCGGTGTGAATAAC-1", "iM.data_TGTTCTAAGTGAGTGC-1", "iM.data_TCACGGGAGTCCTACA-1", "iM.data_GATTGGTAGGTAGATT-1", "iM.data_AGACAAAGTCAAGGCA-1", "iM.data_AATGGAAAGATTAGCA-1", "iM.data_TTCTTCCGTGGTAACG-1", "iM.data_GTAACACTCTGTGCTC-1", "iM.data_GAGTGAGTCTCGTGAA-1", "iM.data_ATTTCTGTCTAGGAAA-1", "iM.data_AGTGACTGTGCGACAA-1", "iM.data_GGTAATCGTTGTGTAC-1", "iM.data_CGTGTCTAGCTTCGTA-1", "iM.data_TTGAGTGGTGCACGCT-1", "iM.data_TGGTTAGAGCTTTCCC-1", "iM.data_CCGTGAGCAACGTATC-1", "iM.data_CTCAAGATCCCATTCG-1", "iM.data_CGGGTGTTCGAGCACC-1", "iM.data_TTCCACGGTCGTCATA-1", "iM.data_TGTGATGGTCTTTATC-1", "iM.data_TCGGGTGTCAATGCAC-1", "iM.data_GCCCAGAAGACTACCT-1", "iM.data_ATTTCTGAGATCGCTT-1", "iM.data_AAGACAAAGCGACCCT-1", "iM.data_CTGCTCATCTCAGGCG-1", "iM.data_ATCGCCTCAGGGCTTC-1", "iM.data_GGGTTTAGTATGAAAC-1", "iM.data_TCCCACATCACTCACC-1", "iM.data_GATAGCTAGGATAATC-1", "iM.data_GGTCTGGGTAACGATA-1", "iM.data_TTCCACGGTAATCAGA-1", "iM.data_AGAACAAGTACACGCC-1", "iM.data_AACAACCGTATATGGA-1", "iM.data_CGAGTTACAAGTACCT-1", "iM.data_AGCCACGGTACCATAC-1", "iM.data_GAATCGTGTGGCATCC-1", "iM.data_TGGTGATCACAGAGAC-1", "iM.data_TCTACCGGTAAGCAAT-1", "iM.data_AGGACGAAGTTTCGGT-1", "iM.data_CTTTCAAGTAAGCGGT-1", "iM.data_GTGTTCCCAGCTCATA-1", "iM.data_CATGAGTGTGAGCGAT-1", "iM.data_GGTTGTAAGATCCCGC-1", "iM.data_TGTTACTGTACCATAC-1", "iM.data_ACGTTCCAGGTGCTGA-1", "iM.data_GACTCTCGTGCCTATA-1", "iM.data_GCTTTCGCAAATTAGG-1", "iM.data_TTCTGTAAGCCGTTGC-1", "iM.data_GATCAGTCAAACGAGC-1", "iM.data_GATTGGTCACGTCGGT-1", "iM.data_GGCTTTCGTAAGTTGA-1", "iM.data_CGTTCTGCAGGCATTT-1", "iM.data_AAGACAAGTGCCGTTG-1", "iM.data_GCTTTCGGTTATCCAG-1", "iM.data_AACCATGGTAGTCTTG-1", "iM.data_GGAAGTGGTCCGTACG-1", "iM.data_TATCTGTAGCTCTTCC-1", "iM.data_CGCATAAGTGGGTCAA-1", "iM.data_TAGAGTCAGGACATCG-1", "iM.data_AATTCCTAGTTGCGAG-1", "iM.data_CTCATGCAGCCACCGT-1", "iM.data_CCCAACTTCGTAACCA-1", "iM.data_TGACAGTAGGCCTAGA-1", "iM.data_ATGCGATAGGCCTTCG-1", "iM.data_ACGGGTCTCGCTGACG-1", "iM.data_TCGAAGTGTATAGGAT-1", "iM.data_TTCTAGTAGATGTAGT-1", "iM.data_TCACTATAGTGACACG-1", "iM.data_GCTTGGGAGAAAGCGA-1", "iM.data_TAACCAGAGCTCTGTA-1", "iM.data_GAGCTGCAGTGGGAAA-1", "iM.data_TGGGCGTGTATCACGT-1", "iM.data_CCTCCAACATCTAACG-1", "iM.data_TCCTTCTAGCCTATTG-1", "iM.data_CCACGTTCATACTGAC-1", "iM.data_TGGAGAGTCCTTCTGG-1", "iM.data_TTGAACGAGACTCCGC-1", "iM.data_GGCAGTCTCTAGTGTG-1", "iM.data_TCATGCCAGAAATCCA-1", "iM.data_CTCAACCGTGTACATC-1", "iM.data_CATTCTATCGACCAAT-1", "iM.data_GAGTTGTTCATACGAC-1", "iM.data_TTTGTTGTCCTACGAA-1", "iM.data_GGGACTCGTTACTCAG-1", "iM.data_AACACACAGTGCGACA-1", "iM.data_TGATCAGGTATTTCTC-1", "iM.data_GAGTTGTCACACCTTC-1", "iM.data_CACTGAACAGGCGTTC-1", "iM.data_GAGTCTAGTACCGTCG-1", "iM.data_ATCACGAAGACGTCGA-1", "iM.data_GTCACGGGTCACCGCA-1", "iM.data_CATACAGTCCTTCACG-1", "iM.data_TATTGGGTCTGCGAGC-1", "iM.data_GATTTCTGTTGACGGA-1", "iM.data_ATTCATCGTAGCGTAG-1", "iM.data_CTTCAATAGACTCAAA-1", "iM.data_CTATCCGGTACTGCGC-1", "iM.data_AACCAACAGACTACGG-1", "iM.data_CGAGTTAAGCCGTAAG-1", "iM.data_ACAAAGAGTATTCCGA-1", "iM.data_TCCATCGGTCGGTGTC-1", "iM.data_CGTCCATTCCATTCAT-1", "iM.data_GTCGTAAAGGAGATAG-1", "iM.data_GAAACCTGTTCAGCTA-1", "iM.data_TGAGGGATCTTTCCGG-1", "iM.data_AGAGCAGTCCTCGCAT-1", "iM.data_ATCTTCATCAGACAAA-1", "iM.data_AAGTGAAAGAGCCATG-1", "iM.data_TCGATTTAGCACCGTC-1", "iM.data_GTGTGGCAGATACCAA-1", "iM.data_TGTCAGACATTGACTG-1", "iM.data_GGGACTCAGTGCCAGA-1", "iM.data_GATCATGAGATTGACA-1", "iM.data_AGAGCCCAGGCTGTAG-1", "iM.data_ACCAAACTCTACGGTA-1", "iM.data_GTAGAGGCAATCCAGT-1", "iM.data_GACTCTCGTGACTGAG-1", "iM.data_CACCGTTGTAACCAGG-1", "iM.data_CATGGATAGTACTGGG-1", "iM.data_AGGAAATAGAAGTCCG-1", "iM.data_GTGGAGACAAAGCTCT-1", "iM.data_AGGGTCCTCCGGACGT-1", "iM.data_CCTGTTGCAAGGATGC-1", "iM.data_CAGCCAGCAGATTAAG-1", "iM.data_CGATGGCTCCCTCGAT-1", "iM.data_CACGTGGCACGTAGAG-1", "iM.data_TGAGTCAGTTCTCCCA-1", "iM.data_GTGGGAAGTCAGGCAA-1", "iM.data_TGTGCGGAGCGGGTAT-1", "iM.data_CTGTGAATCGCTCCTA-1", "iM.data_AAGCATCGTAGCACAG-1", "iM.data_GTCGTAACAGAGACTG-1", "iM.data_TTCTTGATCTGGAAGG-1", "iM.data_ATCGGCGGTGATGTAA-1", "iM.data_TGCAGATGTGTAGTGG-1", "iM.data_AATGAAGGTGCCTATA-1", "iM.data_TCGATTTCAAAGACTA-1", "iM.data_TTGTGGACAAAGCGTG-1", "iM.data_ATTACTCGTAGATTAG-1", "iM.data_AAAGGTATCCATTTCA-1", "iM.data_TTTGTTGCATAGACTC-1", "iM.data_ATGTCCCGTTCGGTAT-1", "iM.data_GTCCCATTCCAAATGC-1", "iM.data_GACGTTAAGCTGCGAA-1", "iM.data_GGACGTCAGTCAGCGA-1", "iM.data_CACACAAGTGATCGTT-1", "iM.data_AATGGCTCAGTAGAGC-1", "iM.data_TTCTTCCTCGCCTAGG-1", "iM.data_TCGCAGGTCAACTCTT-1", "iM.data_AAGCGTTTCAACTACG-1", "iM.data_TCGGATACATTGACTG-1", "iM.data_CTCCGATCAGGCAATG-1", "iM.data_ACTTTGTGTACGCTAT-1", "iM.data_GTTGCGGGTGTACAGG-1", "iM.data_CTTCAATCATAGATCC-1", "iM.data_ACTACGAAGGTTCATC-1", "iM.data_GGGATGAAGACGGAAA-1", "iM.data_CCCGAAGCAACTCATG-1", "iM.data_ATAGACCAGGGCAGTT-1", "iM.data_AGGCCACAGGACCCAA-1", "iM.data_CACCAAACACGACGAA-1", "iM.data_GAGTGAGTCTCTCGCA-1", "iM.data_TACAACGTCAGGACGA-1", "iM.data_TACTTCAAGAGTGGCT-1", "iM.data_CGTCCATCATGGGCAA-1", "iM.data_CGGGCATAGAGTCCGA-1", "iM.data_GTAGAGGCAAAGGATT-1", "iM.data_CACCAAATCGTGTCAA-1", "iM.data_GTGCACGAGCGCGTTC-1", "iM.data_GCGTTTCAGTGACCTT-1", "iM.data_GGAATGGTCAGAGTGG-1", "iM.data_GCTTCACGTGAGCAGT-1", "iM.data_GGGCGTTTCGGCTTCT-1", "iM.data_AGGTCATTCCTATGGA-1", "iM.data_TCCTTTCTCCCTCTAG-1", "iM.data_CCTCAGTAGGATCATA-1", "iM.data_GTGTTAGTCACTACGA-1", "iM.data_TGAGCGCGTTGAGAGC-1", "iM.data_AATTCCTTCTAAGGAA-1", "iM.data_ATGGAGGGTCAACACT-1", "iM.data_ATCCATTAGGATTCCT-1", "iM.data_GATTCTTGTTGGGAAC-1", "iM.data_CCGGTAGCACTACCCT-1", "iM.data_CGGGTCACACCCTCTA-1", "iM.data_TCCGTGTCAAGCACCC-1", "iM.data_GTCACGGGTCCTGGTG-1", "iM.data_CGGAGAAGTGCTCTCT-1", "iM.data_TGCGATATCTCTATAC-1", "iM.data_GAGGGATTCTGAGCAT-1", "iM.data_TCGATTTCAAACCATC-1", "iM.data_TTCCTCTCACACAGAG-1", "iM.data_CGAGTGCGTACGTAGG-1", "iM.data_TCTTTGAGTTGCCTAA-1", "iM.data_CCCGAAGTCCACGAAT-1", "iM.data_AGGACTTAGTCTGGTT-1", "iM.data_GGCTTGGGTCGTGTTA-1", "iM.data_ATTGGGTGTCATTGCA-1", "iM.data_GTGGGAAGTTGGGACA-1", "iM.data_ATGAAAGCATATCTGG-1", "iM.data_AGGAGGTTCCATGAGT-1", "iM.data_CATCAAGTCTTAGGAC-1", "iM.data_GCGGATCAGCGGTAGT-1", "iM.data_AATGAAGCACGACTAT-1", "iM.data_GATTGGTGTGCTATTG-1", "iM.data_GGACGTCTCGCCTATC-1", "iM.data_TCTATCATCATCACTT-1", "iM.data_TTTCGATAGAGCTGCA-1", "iM.data_AAGACAACAACTGTGT-1", "iM.data_TGTCCACCACGTTGGC-1", "iM.data_AGCCAATTCGCTTGAA-1", "iM.data_CGTCCATAGCGGGTTA-1", "iM.data_AGCTACAAGCATCTTG-1", "iM.data_GGAGATGCAAGTGGAC-1", "iM.data_GCACATATCGATACAC-1", "iM.data_GCGTGCAGTACTTGTG-1", "iM.data_GGAGGTACAGACGATG-1", "iM.data_TTGGGATCAAGCTGCC-1", "iM.data_GTTCATTAGCTTAGTC-1", "iM.data_AAGGAATAGAGGGTAA-1", "iM.data_GCGAGAAGTCTTGCTC-1", "iM.data_GGGACTCCAGTCGCTG-1", "iM.data_GTTAGTGTCCGATTAG-1", "iM.data_CTGCAGGCAGCATGCC-1", "iM.data_CACGAATGTAGTCGGA-1", "iM.data_ATACCGATCAAATGAG-1", "iM.data_TACCTGCTCTTTGCAT-1", "iM.data_CTCCTCCTCAGGCGAA-1", "iM.data_AGAAGCGTCATGGAGG-1", "iM.data_CCAAGCGCAGCAGTTT-1", "iM.data_CTACAGAGTCTTAGTG-1", "iM.data_TTTCCTCCACTCAAGT-1", "iM.data_TTGCATTAGTCGTCTA-1", "iM.data_TGAGGAGTCAGAGTGG-1", "iM.data_ATCAGGTTCATTCACT-1", "iM.data_ACTTTGTAGGCAATGC-1", "iM.data_TCCGTGTTCGTTAGAC-1", "iM.data_ACCTGAACAAATTAGG-1", "iM.data_ACTTATCGTTAATCGC-1", "iM.data_GCTTTCGGTTAAGAAC-1", "iM.data_CGGGTCATCTACGCAA-1", "iM.data_TAATCTCAGCTCCACG-1", "iM.data_AGAAGCGAGTGCCTCG-1", "iM.data_GTGCGTGTCTTACACT-1", "iM.data_AGTCTCCGTGGACAGT-1", "iM.data_CACAGGCGTGGTGATG-1", "iM.data_TGGATCATCGTCACCT-1", "iM.data_GCTGCAGCATGCCGAC-1", "iM.data_ACATCGATCATGCTAG-1", "iM.data_GTCGAATCAACGGTAG-1", "iM.data_ACTATTCCAAAGAACT-1", "iM.data_ATGGTTGGTTCCGGTG-1", "iM.data_TCCATCGCAGCGACAA-1", "iM.data_CTTCCTTAGGTTCTTG-1", "iM.data_GTCATGACAAGTCATC-1", "iM.data_TCTTCCTGTTAGGAGC-1", "iM.data_TGGGATTCAAAGTGTA-1", "iM.data_GTAGAGGGTTTCCATT-1", "iM.data_GCTTGGGGTCCTGGTG-1", "iM.data_GCAACCGAGGATACCG-1", "iM.data_GAGTTACAGATAGCAT-1", "iM.data_ACTGTGAGTCATAGTC-1", "iM.data_ATGAAAGAGGCAGTCA-1", "iM.data_TGTCCCAGTCGGTGAA-1", "iM.data_TAAGCCACATACATCG-1", "iM.data_GGGTTTAAGGAGGGTG-1", "iM.data_CATTCTATCTTAGTTC-1", "iM.data_CTGTGAATCGTGGACC-1", "iM.data_CTGTGAAAGACTAGAT-1", "iM.data_CGTGATAGTGCGAACA-1", "iM.data_AAATGGAGTAGATTAG-1", "iM.data_GACCGTGAGTACCATC-1", "iM.data_AAGCGAGAGGTCACAG-1", "iM.data_CTCCCAATCGCTCTAC-1", "iM.data_TTGTTTGGTAGAGTTA-1", "iM.data_AGGCCACGTTCCCAAA-1", "iM.data_CGGGTGTAGAGGTTAT-1", "iM.data_GTGTGATGTCTACAAC-1", "iM.data_GTTCATTAGGGCAGAG-1", "iM.data_GTCATGAAGGCCTGCT-1", "iM.data_CTGCATCTCAAAGGTA-1", "iM.data_GTCGAATTCTGCTGAA-1", "iM.data_GTCTGTCCAAGAAACT-1", "iM.data_TGGGCGTAGACGTCCC-1", "iM.data_GTACAACTCCCAAGTA-1", "iM.data_TGTTCATGTCGCAGTC-1", "iM.data_TTTGATCCAAAGGAGA-1", "iM.data_CCCTAACCAGAGGGTT-1", "iM.data_GAACTGTGTGATGAAT-1", "iM.data_AGCTACACACAGGATG-1", "iM.data_GTTATGGCAACAAGAT-1", "iM.data_GCACTAAGTCTTCCGT-1", "iM.data_TCCGTGTCAACCGCTG-1", "iM.data_CTGTGGGGTAGTATAG-1", "iM.data_AAGCATCCATAATGAG-1", "iM.data_TCCAGAACACGCGTGT-1", "iM.data_CGGGTCAGTGTCATGT-1", "iM.data_AGTAGCTAGTAGCATA-1", "iM.data_CATAGACAGTACCGGA-1", "iM.data_CCTCCAACAATCACGT-1", "iM.data_TGAACGTTCTGAATGC-1", "iM.data_CAACAACAGGTAGGCT-1", "iM.data_GTTAGTGAGGCTAACG-1", "iM.data_AGAAGTATCGTGTTCC-1", "iM.data_TAGTGCACATCCAATG-1", "iM.data_GGCTGTGTCCATTTAC-1", "iM.data_AATGGAATCCACTTCG-1", "iM.data_TACAACGGTATCGCTA-1", "iM.data_CCTTCAGTCTGGGATT-1", "iM.data_AACACACGTCTAGTGT-1", "iM.data_TATCCTATCCCGTGAG-1", "iM.data_ACTTTGTAGTTCTCTT-1", "iM.data_AAGCATCTCCGACAGC-1", "iM.data_TAGCACATCCAGCTCT-1", "iM.data_TCTGGCTAGACTTGTC-1", "iM.data_CACTGGGAGTCTCTGA-1", "iM.data_ACGATGTAGCATGTTC-1", "iM.data_CGATGGCAGTGTTGTC-1", "iM.data_ATCGGATGTAACATAG-1", "iM.data_CTGTACCCACGCTGCA-1", "iM.data_GTCTGTCGTCAACCTA-1", "iM.data_CCACGAGGTAGCTGAG-1", "iM.data_TCACGGGTCGTACACA-1", "iM.data_AGTCACACAAACTCTG-1", "iM.data_TCTAACTTCTCATAGG-1", "iM.data_AGGGTCCAGAGAGTGA-1", "iM.data_TGAATGCGTCTGTAGT-1", "iM.data_TGGATCACAACGAGGT-1", "iM.data_AACGGGACAGCAGGAT-1", "iM.data_TTCATGTGTAGTAAGT-1", "iM.data_CAGATACTCGAGTACT-1", "iM.data_TGGTACAGTACTAGCT-1", "iM.data_AGATGCTGTTATGGTC-1", "iM.data_TGAGCATCAGGCATGA-1", "iM.data_CCCGAAGGTAGTGGCA-1", "iM.data_AACAAGAAGATCCCGC-1", "iM.data_CGATGGCTCTTCTGTA-1", "iM.data_TTTGGAGCATTCACCC-1", "iM.data_AGGGTGAAGGTGATCG-1", "iM.data_TTACGTTTCGTGCTCT-1", "iM.data_CGATGGCGTCCGGATC-1", "iM.data_CTTAGGAGTTGACGGA-1", "iM.data_GCGGATCAGGGCCTCT-1", "iM.data_CAACAGTTCTTGAGCA-1", "iM.data_CTATCTAGTGGCAACA-1", "iM.data_ACAGCCGTCATGCCGG-1", "iM.data_TCATTACTCAAGCCGC-1", "iM.data_AAAGGGCGTGTCGATT-1", "iM.data_GAGTTGTCACATACTG-1", "iM.data_CCTAAGACAATCGAAA-1", "iM.data_ATAGACCAGAGTGTTA-1", "iM.data_GCACGGTCAGTAACCT-1", "iM.data_GAATCGTCAGTTTCAG-1", "iM.data_CATTCTAAGTCATCCA-1", "iM.data_AGTGATCAGCCTTGAT-1", "iM.data_ATTCAGGTCCTTCGAC-1", "iM.data_ATCCGTCTCAACTGAC-1", "iM.data_TGCAGATCATCGTGCG-1", "iM.data_ACATCCCGTGCGTTTA-1", "iM.data_AATGGAAAGCGTTGTT-1", "iM.data_ATTCCTATCGTGTCAA-1", "iM.data_GTGACGCAGACATAAC-1", "iM.data_TCGGGCAAGACGGAAA-1", "iM.data_TTGGTTTTCTAGGAAA-1", "iM.data_ACAACCAAGTAACAGT-1", "iM.data_ATAGAGAGTCCAGCAC-1", "iM.data_AACCTGATCACCGACG-1", "iM.data_CATCGGGTCAACTACG-1", "iM.data_GCATGATCAATAACGA-1", "iM.data_AACAGGGAGATTCGAA-1", "iM.data_CCGTTCATCGTAGCTA-1", "iM.data_GAGAAATTCTCAGAAC-1", "iM.data_GAGATGGTCCTGGGTG-1", "iM.data_TATTGGGTCATCAGTG-1", "iM.data_CTCAATTCAACTTCTT-1", "iM.data_GGGTTATTCCCAACTC-1", "iM.data_TTCGGTCGTCCCACGA-1", "iM.data_CTCAATTCACAAATAG-1", "iM.data_GAGTCTAAGCGAATGC-1", "iM.data_CTGCTCACACGTCTCT-1", "iM.data_CTCATTATCGAGCACC-1", "iM.data_AAGCCATGTGGATGAC-1", "iM.data_TATTCCAGTCTACGAT-1", "iM.data_GACATCAAGGCTCTCG-1", "iM.data_ACTTAGGGTATTTCCT-1", "iM.data_TTCAATCGTCTCGGAC-1", "iM.data_CATGGTATCATGCAGT-1", "iM.data_TGTGTGATCTCATTAC-1", "iM.data_AGCGCCACAGTTAGAA-1", "iM.data_TCTCCGATCTGAATCG-1", "iM.data_GCGAGAAAGCACAAAT-1", "iM.data_GAGGCAAGTAATCAAG-1", "iM.data_GGTGTCGGTTTCGTGA-1", "iM.data_TCCCACAGTCGATTTG-1", "iM.data_AAAGTGACATCCGAAT-1", "iM.data_GGGCTACTCAAGTCTG-1", "iM.data_GTACAGTGTGGCTGAA-1", "iM.data_CTATCTATCTGGCCGA-1", "iM.data_GTTTGGATCTTGCGCT-1", "iM.data_CCACCATCAAATTGCC-1", "iM.data_AGGGTCCAGCCTTTGA-1", "iM.data_TCGTGGGTCAGAATAG-1", "iM.data_CCGTGAGTCTGCCTGT-1", "iM.data_ACTGCAAGTGGTCCCA-1", "iM.data_AGCCAATCAGTAGATA-1", "iM.data_CAATTTCTCGATTGGT-1", "iM.data_AGTCACACAGCTACTA-1", "iM.data_TTCCGGTGTATGGTAA-1", "iM.data_TGCGGCACATCATTTC-1", "iM.data_ACAACCATCGGATAAA-1", "iM.data_ATAGACCCAGGTCAAG-1", "iM.data_CTGCGAGCACCTGCGA-1", "iM.data_ATGGGTTCAAAGTGTA-1", "iM.data_TACGTCCAGATGGCAC-1", "iM.data_CGAAGTTAGTAAACGT-1", "iM.data_TTCTCTCTCTGCGTCT-1", "iM.data_TCATTCAGTCGCTTAA-1", "iM.data_CCACGTTGTTGGTAGG-1", "iM.data_TGCACGGGTTCAACGT-1", "iM.data_TGCACGGTCGCAATTG-1", "iM.data_TAGAGTCGTCATCGCG-1", "iM.data_ACGTCCTGTGCATCTA-1", "iM.data_GATTCTTTCGTGGCGT-1", "iM.data_AGCTCAAGTCGCTTGG-1", "iM.data_GAGTTGTGTGGAGGTT-1", "iM.data_TCGGTCTCAGCACCCA-1", "iM.data_AGAACAAAGGCATCGA-1", "iM.data_CCTCCAAGTACTTCCC-1", "iM.data_GAGAGGTGTCTGTCCT-1", "iM.data_TCGTCCAGTATGTGTC-1", "iM.data_GTCATCCAGTCATCGT-1", "iM.data_TTTACGTCATGAATCC-1", "iM.data_AAAGTGACACACCAGC-1", "iM.data_TACTTACAGCCGCTTG-1", "iM.data_TTTGTTGTCTTGATTC-1", "iM.data_GCACGGTAGGCATCTT-1", "iM.data_GTCGAATAGTAGACAT-1", "iM.data_CGTGAATTCAGTCACA-1", "iM.data_AAAGAACAGCGGGTAT-1", "iM.data_TCATGCCCACTGTGAT-1", "iM.data_CATTTCACATACTTTC-1", "iM.data_ATGAAAGCACTTACAG-1", "iM.data_ACCATTTGTTAATGAG-1", "iM.data_AGCATCAAGAATAGTC-1", "iM.data_ACAGAAAAGTCACGCC-1", "iM.data_TTTCAGTGTCTTAGTG-1", "iM.data_TAAGCGTCACATACGT-1", "iM.data_CGTAATGTCATCCTAT-1", "iM.data_TGCTTCGAGCACTCGC-1", "iM.data_AAACGAATCCTGCCAT-1", "iM.data_TGCGACGCACACGTGC-1", "iM.data_GATAGAACATTCTCTA-1", "iM.data_TACAACGTCGATGCTA-1", "iM.data_CAATTTCCAGACACAG-1", "iM.data_CAAGCTAGTATCAGGG-1", "iM.data_TCCAGAAAGTAGGTTA-1", "iM.data_TCATGAGGTAGCGTCC-1", "iM.data_AGTTCGAGTTGCGGCT-1", "iM.data_TGCGGGTGTACGGTTT-1", "iM.data_CTCAGTCGTTAGAAAC-1", "iM.data_CTGGACGGTCGTCGGT-1", "iM.data_CCCTTAGTCGAACCTA-1", "iM.data_TACAGGTGTCGAGATG-1", "iM.data_TCACATTTCTGATTCT-1", "iM.data_CACTGTCTCGGAACTT-1", "iM.data_TCAGGTATCAATCGGT-1", "iM.data_CATTGTTGTGCCCACA-1", "iM.data_AGCCAATAGAGTCCGA-1", "iM.data_TAAGCACCATTGTACG-1", "iM.data_TCTAACTAGGCCCACT-1", "iM.data_AAGTGAAAGGCACGAT-1", "iM.data_GTCTAGAAGGCTCAAG-1", "iM.data_TCTTCCTCAAGACGGT-1", "iM.data_CCCGGAACAACAAGAT-1", "iM.data_GCGGAAAAGAAAGCGA-1", "iM.data_TCATACTTCCCATGGG-1", "iM.data_TGTCCACTCTACTTCA-1", "iM.data_GACTCTCAGCCGATAG-1", "iM.data_TGCTCGTCAATTGGTC-1", "iM.data_GTACAGTGTTGCGAAG-1", "iM.data_AGCCAATCACTTGGCG-1", "iM.data_CAAGACTGTCTGTGTA-1", "iM.data_ACTTCGCTCCTAGCCT-1", "iM.data_TGATTCTTCGGCTATA-1", "iM.data_TCTTTGACAACGAGGT-1", "iM.data_ACCTACCTCGCTGACG-1", "iM.data_TTTCACACATAATGAG-1", "iM.data_GGTCACGGTGCCTTCT-1", "iM.data_GGTTAACTCAAGAGGC-1", "iM.data_TCATGTTCAAGAAATC-1", "iM.data_CTCATTACACTTGAAC-1", "iM.data_TCGGATATCCCTTTGG-1", "iM.data_TCAGCAAGTCAGTCCG-1", "iM.data_CGGCAGTCACTGAGGA-1", "iM.data_GACCCTTCACAACCGC-1", "iM.data_GGAGCAATCCATTGGA-1", "iM.data_TACCTCGGTCTGTGTA-1", "iM.data_AACAACCTCTGTGTGA-1", "iM.data_TCCTTTCTCGAGTCTA-1", "iM.data_TAATCTCTCCACAGGC-1", "iM.data_TGCGATATCCTCTCGA-1", "iM.data_AAGTCGTCATTCAGCA-1", "iM.data_AGTAGCTGTATTTCCT-1", "iM.data_TGTAACGGTCATTCCC-1", "iM.data_GAATCGTTCCTCTAAT-1", "iM.data_CACAACATCTTAGCTT-1", "iM.data_CTAACCCCACGACGAA-1", "iM.data_AGAGAGCCATACAGGG-1", "iM.data_TGCTTGCTCCCAAGTA-1", "iM.data_GATTCTTTCACCTTGC-1", "iM.data_GCACGGTCACCTTCGT-1", "iM.data_TTGAACGGTGCACGCT-1", "iM.data_TGAATGCAGCTCCCTT-1", "iM.data_TTGATGGCAGCACGAA-1", "iM.data_GACAGCCCACTGATTG-1", "iM.data_TTAGGCATCCATTGGA-1", "iM.data_CACTGAAGTATCATGC-1", "iM.data_CGATCGGAGTATGATG-1", "iM.data_TGATTTCGTTTGGCTA-1", "iM.data_ACTATGGAGCCACCGT-1", "iM.data_CACTGGGAGCCTGTGC-1", "iM.data_CCCGGAAAGCACCGAA-1", "iM.data_ACCTGTCTCGTGTGAT-1", "iM.data_AGGTGTTAGACCATAA-1", "iM.data_GCCAACGCAGTGACCC-1", "iM.data_AGGATAACAGGTTTAC-1", "iM.data_CGGACACTCCCATTTA-1", "iM.data_GTAGTACAGGGTCACA-1", "iM.data_CCTTCAGTCGCAATGT-1", "iM.data_CAATCGAAGGTACAGC-1", "iM.data_AACGTCAAGTCATCGT-1", "iM.data_GGTGTCGTCAACTGGT-1", "iM.data_ATCACAGGTGGCCTCA-1", "iM.data_ATTTCTGCAGCAGTCC-1", "iM.data_CAGTGCGCACCAGCCA-1", "iM.data_CTTGATTTCTAGACAC-1", "iM.data_TGAGTCACAAGTGGGT-1", "iM.data_TTTCGATAGTCATAGA-1", "iM.data_TCAAGCACACCTTCGT-1", "iM.data_TACTTACGTGCACATT-1", "iM.data_TTACCGCCAGTGAGCA-1", "iM.data_GGTAGAGTCCCGTGTT-1", "iM.data_TCGACCTCATTAGGAA-1", "iM.data_AAACGCTCAAATTAGG-1", "iM.data_AACGTCAAGACAACTA-1", "iM.data_GGGAGATGTTTAGAGA-1", "iM.data_ACACCAAGTCATCTAG-1", "iM.data_AGCGTATAGAGTCTGG-1", "iM.data_GTTGCTCTCTATTGTC-1", "iM.data_TCCTAATCAATTCTCT-1", "iM.data_AGATGCTGTCTGTCCT-1", "iM.data_CCGGACAGTCCACACG-1", "iM.data_GGTAATCCAGGAAGTC-1", "iM.data_GTTTGGAAGCATGCGA-1", "iM.data_GTTGAACAGGCACAAC-1", "iM.data_TCGTCCAGTACTCGCG-1", "iM.data_AAATGGATCGCTCTAC-1", "iM.data_CACTGAAAGCTCATAC-1", "iM.data_GAAATGATCAGGTGTT-1", "iM.data_CCTCAACGTAGTCCTA-1", "iM.data_TGTGAGTAGTCGCTAT-1", "iM.data_TATCTGTCAAGCCCAC-1", "iM.data_GTGGCGTCAGCAAGAC-1", "iM.data_TCGGGTGAGCGACTTT-1", "iM.data_GTAAGTCAGTTGTAGA-1", "iM.data_AGAGCAGTCTGCGATA-1", "iM.data_CTTCTAAAGGTCTGGA-1", "iM.data_AACCTTTGTTATCTTC-1", "iM.data_AACACACAGCGTTCCG-1", "iM.data_ACTGATGAGGTCTGGA-1", "iM.data_TACCTGCGTGCATGAG-1", "iM.data_GGTGAAGTCGGAGTAG-1", "iM.data_CTACTATTCCTTATAC-1", "iM.data_GGGCTACGTCTCGGAC-1", "iM.data_AGGAATAGTCTGTCAA-1", "iM.data_CTCCCTCTCTCCCTAG-1", "iM.data_GAGGCCTAGCTAAGTA-1", "iM.data_AGACCCGAGCGCCCAT-1", "iM.data_AGAACAACATGACGGA-1", "iM.data_GGGCCATGTCGTATTG-1", "iM.data_GGGACTCTCCGTGGGT-1", "iM.data_TCTGGCTTCAACGTGT-1", "iM.data_TAGGGTTCACAGACGA-1", "iM.data_TAACACGGTGATACTC-1", "iM.data_CCTCAGTGTCACAATC-1", "iM.data_TCGGGACGTTACCTTT-1", "iM.data_TTCAGGACACTATCGA-1", "iM.data_AATCGTGGTGCATGAG-1", "iM.data_CGCCATTTCTGCCTGT-1", "iM.data_TGCACGGTCCGTGACG-1", "iM.data_ATTGGGTCAGAGCTAG-1", "iM.data_GGTGGCTTCCCTATTA-1", "iM.data_AGGTCTAGTGCTCTCT-1", "iM.data_GACGCTGTCGTCTAAG-1", "iM.data_TGGATGTCACGTACTA-1", "iM.data_AGCGTATAGTCGAAAT-1", "iM.data_ATTGGGTAGCTTAGTC-1", "iM.data_AGTCAACGTCCAAAGG-1", "iM.data_ATGAAAGGTTGGGTTT-1", "iM.data_TGACTCCAGGCAGGTT-1", "iM.data_CTCAAGATCTTACGTT-1", "iM.data_AGATGCTGTTAGGGTG-1", "iM.data_ATCGCCTAGCCATGCC-1", "iM.data_CAGCCAGCAAGCAATA-1", "iM.data_ACAGGGACAGCTGTCG-1", "iM.data_GCGAGAACAGTCGCAC-1", "iM.data_TCAAGCACAACAAGAT-1", "iM.data_CCGTTCACAAACCACT-1", "iM.data_TGGAGAGGTTAAGACA-1", "iM.data_TTTACCACACGACCTG-1", "iM.data_CAACCAAGTCCCGGTA-1", "iM.data_TTTGGAGAGTCCTGTA-1", "iM.data_CCCTGATCAAGTGCTT-1", "iM.data_AAAGGATTCATCACTT-1", "iM.data_ACGTCCTCACGTGTGC-1", "iM.data_GTCACGGGTATTAAGG-1", "iM.data_CAACCTCGTTTCTTAC-1", "iM.data_ATGATCGCAGTGGCTC-1", "iM.data_ATTCTTGGTCGCTTAA-1", "iM.data_CGAAGTTGTCGCCACA-1", "iM.data_AAATGGACAGTGTACT-1", "iM.data_TGATTTCGTCGGTAAG-1", "iM.data_CAGCACGTCTTCTTCC-1", "iM.data_CGTTAGACAAGCTCTA-1", "iM.data_TTCAGGAGTGCTAGCC-1", "iM.data_TCATCCGCATCGATGT-1", "iM.data_CCGGTGATCGAGATGG-1", "iM.data_AAAGGGCAGGTTACAA-1", "iM.data_TCATGGAGTTAATCGC-1", "iM.data_AAATGGATCATGCTAG-1", "iM.data_GTACAGTCAACTGCTA-1", "iM.data_TGCATCCGTGGGTCAA-1", "iM.data_CTACTATCAACGATTC-1", "iM.data_GTAGAGGAGGTGGTTG-1", "iM.data_GCACGTGGTTCGGACC-1", "iM.data_TAAGTCGGTCTTGCTC-1", "iM.data_TTCCTCTCAGGTAGTG-1", "iM.data_ACTGCAAGTCCGGACT-1", "iM.data_TGTTTGTAGACAGCTG-1", "iM.data_TTACCATCAGAACCGA-1", "iM.data_CGGGTCAAGAGAGGGC-1", "iM.data_GTCAAACCAGGTCAAG-1", "iM.data_CTCCGATAGCGAGTCA-1", "iM.data_GATTGGTCAGGAGGTT-1", "iM.data_GCATTAGTCCGTGTCT-1", "iM.data_TGAGGTTCACAAATAG-1", "iM.data_CTAGACATCGGTAGAG-1", "iM.data_GATTGGTAGGCGTCCT-1", "iM.data_GTCTTTAGTGTAGGAC-1", "iM.data_AGAACAAGTTTGTGGT-1", "iM.data_GTCATCCCAGATACTC-1", "iM.data_AGGAGGTGTATGAGCG-1", "iM.data_CCTTTGGGTGTGAATA-1", "iM.data_CCTAAGACACGTAGAG-1", "iM.data_TCAGTTTCAGAATTCC-1", "iM.data_AGCGCCAAGAAGCCAC-1", "iM.data_TTTGACTAGGGTTAAT-1", "iM.data_AAAGAACAGAGAGCCT-1", "iM.data_ATTCTTGAGGATGTTA-1", "iM.data_GAGTGTTTCCGCGATG-1", "iM.data_GGGACAACAAGTGCAG-1", "iM.data_ACTGATGCAATAACCC-1", "iM.data_ACACCAATCTTACACT-1", "iM.data_CGATGGCTCGTACCTC-1", "iM.data_GGGTCACAGGGCGAGA-1", "iM.data_TCATTGTCATAGAATG-1", "iM.data_CTCCATGTCAGACATC-1", "iM.data_CGGAGAAAGCGATTCT-1", "iM.data_TCATTTGCAAACTCGT-1", "iM.data_GTAGGAGAGTACCATC-1", "iM.data_CACATGACACGCGCTA-1", "iM.data_AAGACAACACATGGTT-1", "iM.data_AGAAGTATCCCATTTA-1", "iM.data_GAAGCGATCGACGTCG-1", "iM.data_ACGATCATCAACCTTT-1", "iM.data_AGCGATTGTCGAATGG-1", "iM.data_TGTCAGAAGCGACTAG-1", "iM.data_TCAGCAACAGAGTGAC-1", "iM.data_ACCTGAATCTGGAGAG-1", "iM.data_TGTGATGCAGGTGGAT-1", "iM.data_TCGACGGTCAGGCGAA-1", "iM.data_TGGGCGTTCTTACGTT-1", "iM.data_GTCGTAACATCACGGC-1", "iM.data_CGTCAAATCCTCCACA-1", "iM.data_GTCCTCAGTGATACAA-1", "iM.data_GAAGGACAGTCAGGGT-1", "iM.data_GCATCGGGTTGCGGAA-1", "iM.data_CCTCTCCTCAGCTGAT-1", "iM.data_GGGTTATCATGTGCTA-1", "iM.data_TTTATGCCAAGACCTT-1", "iM.data_TCGGATATCTCGGCTT-1", "iM.data_CGTCCATGTTAGTCGT-1", "iM.data_TCACACCTCTCGACCT-1", "iM.data_TACCTCGGTTCAAAGA-1", "iM.data_CCACGTTGTCTGTGGC-1", "iM.data_TCTTTGACAGCATGCC-1", "iM.data_TTCCTCTTCATTATCC-1", "iM.data_TTCGATTGTTATTCTC-1", "iM.data_GCTACCTAGAGAGAAC-1", "iM.data_CAACAACAGATAACAC-1", "iM.data_TAGTGCACATAACAGA-1", "iM.data_GGAACCCGTATCTTCT-1", "iM.data_ATTGGGTAGAGGTCAC-1", "iM.data_CAACGATTCGCCTCTA-1", "iM.data_CAGTTAGGTCGGTGTC-1", "iM.data_CCGGACACAACCAATC-1", "iM.data_TGGTAGTCAATGGGTG-1", "iM.data_GTGGGAAGTCATCGCG-1", "iM.data_TGAGGAGGTGAGTTTC-1", "iM.data_CAACCTCTCAACGTGT-1", "iM.data_GGTAATCAGTCAAGCG-1", "iM.data_GGCAGTCAGGTGCTGA-1", "iM.data_CAGCAGCTCCATTCGC-1", "iM.data_CCTCCTCTCCTAGAGT-1", "iM.data_TTTGACTAGTGTTCCA-1", "iM.data_GGGAGATCAGGCCTGT-1", "iM.data_GCCTGTTAGTGGTTCT-1", "iM.data_AGGGCTCAGTCATAGA-1", "iM.data_ATTCCCGAGAGGGTCT-1", "iM.data_CCTCATGTCTATTCGT-1", "iM.data_CCTCACAGTCGTTGCG-1", "iM.data_GTATTGGTCACCGGGT-1", "iM.data_TCTAACTGTACTAAGA-1", "iM.data_AGGGTCCCAGGAGGTT-1", "iM.data_TATCAGGCAACCGGAA-1", "iM.data_GGAATGGAGGAAGTCC-1", "iM.data_ATGAGTCGTGCCGGTT-1", "iM.data_ATTCCCGCACCAGTAT-1", "iM.data_AACACACTCGGCTTCT-1", "iM.data_CATTGAGCAGGTTTAC-1", "iM.data_CACGGGTGTAGCGTCC-1", "iM.data_CACTGGGAGACATATG-1", "iM.data_GATCACAAGGCGTTGA-1", "iM.data_GTCCACTTCCTAACAG-1", "iM.data_AGTCACACAACAAGAT-1", "iM.data_TCGGGTGCAGTAACGG-1", "iM.data_GATGATCCATGTGGCC-1", "iM.data_ACGGGTCCATATAGCC-1", "iM.data_TCGCACTGTATCGTTG-1", "iM.data_CTTCGGTAGCCTGACC-1", "iM.data_AGGTTACTCAAACGAA-1", "iM.data_ACACCAATCCGGACGT-1", "iM.data_TTGCCTGCAATAGAGT-1", "iM.data_CATGGATCAGCTCATA-1", "iM.data_GTTACGAGTCTCCTGT-1", "iM.data_CTCATCGTCTGGCTGG-1", "iM.data_CGAGGAATCGCATAGT-1", "iM.data_TCGTCCAAGTTGCATC-1", "iM.data_TTCATTGTCGACACTA-1", "iM.data_GGTGGCTCATCGAACT-1", "iM.data_AGATCGTCAGGACTAG-1", "iM.data_CAGCCAGGTGAACGGT-1", "iM.data_TCAGTTTCAGAGGACT-1", "iM.data_GAGCCTGCAGGACATG-1", "iM.data_GCATCTCAGCAGTAAT-1", "iM.data_TCAAGTGGTATCACCA-1", "iM.data_TTTACCAGTCTGCATA-1", "iM.data_AAGACAAGTAGACGTG-1", "iM.data_GCATGATGTAGCGTCC-1", "iM.data_CCCTAACCAGTGTACT-1", "iM.data_AGCCAATTCCGTAGTA-1", "iM.data_AATTTCCTCTTGAGCA-1", "iM.data_TGTAAGCTCTCAACCC-1", "iM.data_TCCTCTTAGGCCGCTT-1", "iM.data_CGGGTCAGTCAGGTAG-1", "iM.data_TCTGTCGGTAACAGTA-1", "iM.data_GGGACTCTCGGCCAAC-1", "iM.data_GTTGTGACACCAGTTA-1", "iM.data_CGCATGGAGACTTCCA-1", "iM.data_CAGATACTCCGGACTG-1", "iM.data_TAGCACAAGTGATTCC-1", "iM.data_GCAGTTACAACTACGT-1", "iM.data_TAAGTCGAGCGTTAGG-1", "iM.data_TAACCAGCAGAGCTAG-1", "iM.data_GCGTTTCAGGAACATT-1", "iM.data_TTCAGGACAATGCAGG-1", "iM.data_TCTGTCGAGACTGGGT-1", "iM.data_ACGGGTCCAATTCTTC-1", "iM.data_ACGTAGTTCTGCATAG-1", "iM.data_GTCATCCAGTTGCTGT-1", "iM.data_CAGTTAGAGAGTCAGC-1", "iM.data_ACTTTGTAGTCTGGTT-1", "iM.data_TAAGCACAGTGATAAC-1", "iM.data_AGACACTCATGTCAGT-1", "iM.data_ACTTTCAAGGAAGTGA-1", "iM.data_TAGTGCAAGGGTAATT-1", "iM.data_TGCAGTATCTCGGGAC-1", "iM.data_TCCGAAAAGTGCGCTC-1", "iM.data_AGTAGTCGTCGCACGT-1", "iM.data_TTCCTCTCAACACAAA-1", "iM.data_ATCCATTCAGATCATC-1", "iM.data_TGAGACTGTGAACGGT-1", "iM.data_TGATTTCCAGCCCACA-1", "iM.data_TAGACCAAGATGCTGG-1", "iM.data_GTTAGTGAGCACTCCG-1", "iM.data_CGCATAATCTGGTGGC-1", "iM.data_CGAGTTAAGGAACATT-1", "iM.data_CGAGTTAAGCCAACCC-1", "iM.data_CAAGGGAAGCCTTCTC-1", "iM.data_GCGTTTCAGATTGATG-1", "iM.data_CAACGATGTGTAGCAG-1", "iM.data_CGAGAAGAGGCCTTCG-1", "iM.data_CTGCGAGTCCGTAGGC-1", "iM.data_TGCTGAACACTTGGCG-1", "iM.data_TCTGTCGCAAGATTGA-1", "iM.data_AACCCAACATACCATG-1", "iM.data_ATCGTCCGTGTCATCA-1", "iM.data_TGCACGGTCACTGGTA-1", "iM.data_CACCAAAGTAATGCTC-1", "iM.data_CGGGTGTCACGACAAG-1", "iM.data_GGGTAGATCTGAGTCA-1", "iM.data_CTAAGTGAGGTCGACA-1", "iM.data_CCAATTTTCGCCAACG-1", "iM.data_GGAATGGCAACACAGG-1", "iM.data_CATCGTCAGGTGTGAC-1", "iM.data_TTGGGCGTCGGCTTGG-1", "iM.data_AGGTAGGAGTGTCATC-1", "iM.data_AGTAACCCACGTACAT-1", "iM.data_GAAGGGTGTGAGGCAT-1", "iM.data_GTAGGTTTCATACGAC-1", "iM.data_ATGGAGGCACTCACTC-1", "iM.data_CATACCCGTATTGACC-1", "iM.data_TCAAGACCAGAAGCGT-1", "iM.data_TCCGGGATCTCACGAA-1", "iM.data_AGAGCCCAGGCGAACT-1", "iM.data_AGGAGGTGTGTTTCTT-1", "iM.data_ACGTCCTTCTTGGGCG-1", "iM.data_CGCCATTTCACTGTTT-1", "iM.data_ATACCTTTCTGTAAGC-1", "iM.data_TTTATGCCAAAGGGCT-1", "iM.data_TCCGGGAGTAGTGCGA-1", "iM.data_GAGACCCAGCGATGAC-1", "iM.data_TAACACGGTAGTCTGT-1", "iM.data_GTGGTTATCGGACTGC-1", "iM.data_AACAAGAAGTATGCAA-1", "iM.data_TATTGGGTCCGGCAAC-1", "iM.data_TCAGCAATCAACCCGG-1", "iM.data_CCGGACAAGAAAGTCT-1", "iM.data_AGCGATTAGGCTTAGG-1", "iM.data_CACAGGCGTTCCCAAA-1", "iM.data_GCGTTTCTCAAGTCTG-1", "iM.data_TATTGGGGTATGTGTC-1", "iM.data_ATTTCACGTAGACTGG-1", "iM.data_CAGATTGGTTGATGTC-1", "iM.data_GAGTTTGGTTGCCGCA-1", "iM.data_TGTCCACTCGAGATGG-1", "iM.data_TCTACATGTTCCTAGA-1", "iM.data_GATCGTAGTTCCATTT-1", "iM.data_AACCTGAAGCTGGCCT-1", "iM.data_CCCTCAAAGTCTCGTA-1", "iM.data_TGTTGGAGTACAGTAA-1", "iM.data_ATGGGTTGTTGCCAAT-1", "iM.data_AGTCTCCAGTTCTACG-1", "iM.data_AAGTACCGTCCAGCCA-1", "iM.data_GTAACACGTACGCTAT-1", "iM.data_GTTGAACAGAGAGTTT-1", "iM.data_ACTTCGCGTCACCACG-1", "iM.data_AACAAGAGTATCCTTT-1", "iM.data_ATGTCTTTCATTTGGG-1", "iM.data_CTCATGCGTAGGACTG-1", "iM.data_TTCTTGATCAAGTGGG-1", "iM.data_CTCTCAGCATAGGAGC-1", "iM.data_TTATTGCGTTCCGGTG-1", "iM.data_GTGCTTCTCTCGCCTA-1", "iM.data_GAAGGACCAGGACGAT-1", "iM.data_TTGACCCCATACGCAT-1", "iM.data_GTGAGCCTCTTCCCAG-1", "iM.data_ATGTCCCTCCGAAATC-1", "iM.data_CCTACGTTCTCTGAGA-1", "iM.data_CATACCCGTTCTAACG-1", "iM.data_AAGACAAGTACCCAGC-1", "iM.data_GCAGCTGTCGTTCAGA-1", "iM.data_GTGTTAGCACAGTCGC-1", "iM.data_ATTCATCCACACTGGC-1", "iM.data_CAACGATAGTCGCGAA-1", "iM.data_CACGGGTGTGCTGCAC-1", "iM.data_ATCGATGTCCGGCAAC-1", "iM.data_ATGACCATCACTGCTC-1", "iM.data_GAACGTTCAGTCGGTC-1", "iM.data_GTGTGATTCCTCAGAA-1", "iM.data_TCATGCCCAATGACCT-1", "iM.data_TGAGGGATCCATACTT-1", "iM.data_ATACCTTAGTGGCAGT-1", "iM.data_GGTAACTGTGAAGCTG-1", "iM.data_TAACACGCACATCCCT-1", "iM.data_CGAAGGAGTGATACAA-1", "iM.data_AGACCATGTTTCGACA-1", "iM.data_TCAAGCAAGGCTCCCA-1", "iM.data_GTTTGGACATTGCTGA-1", "iM.data_GCATGATCAGTCAGAG-1", "iM.data_GAGATGGTCGAGTCCG-1", "iM.data_GGACGTCTCTGCCCTA-1", "iM.data_CATCGGGTCTGCATGA-1", "iM.data_ATCGGATTCTATGCCC-1", "iM.data_TCTACATGTTCGGACC-1", "iM.data_AGCCACGAGGGAGATA-1", "iM.data_TACTTGTAGTGTCATC-1", "iM.data_CATGGTAGTCCTCAGG-1", "iM.data_GGGTCTGAGAAGCCAC-1", "iM.data_TCTTTGACAGAGGACT-1", "iM.data_TTTCCTCGTGGCGTAA-1", "iM.data_TAAGTCGCAAGATGTA-1", "iM.data_CTCCATGTCGGTCGAC-1", "iM.data_TATCTGTAGCTGCCTG-1", "iM.data_TGTAGACTCTGCATAG-1", "iM.data_TCCCATGGTCGGCCTA-1", "iM.data_GCAACATCAAGATGGC-1", "iM.data_TCGAAGTCAGAGATGC-1", "iM.data_ATAGGCTTCGAAGCAG-1", "iM.data_TCCTCGATCTCTTCAA-1", "iM.data_TTGCTGCTCGTTCCTG-1", "iM.data_TTCGATTCAGTCTACA-1", "iM.data_AGGATCTGTAGCGTTT-1", "iM.data_CGAGGCTTCGACATTG-1", "iM.data_TCCTTTCGTAGTTCCA-1", "iM.data_TCTTCCTAGTCTGCGC-1", "iM.data_GTGAGCCAGCACCTGC-1", "iM.data_AATTCCTGTAAGTCAA-1", "iM.data_CTCCTCCCAAACTCGT-1", "iM.data_ATTCCTACACAAGCAG-1", "iM.data_CTCTCGACATATCTGG-1", "iM.data_CAAGGGAAGTAGTCTC-1", "iM.data_GTTAGACTCGCCTTTG-1", "iM.data_CGTAAGTAGTTCCATG-1", "iM.data_AAGACAATCGATGCTA-1", "iM.data_GATGATCAGACTAGAT-1", "iM.data_CTCGAGGTCGACACTA-1", "iM.data_TCTTAGTTCTAGTTCT-1", "iM.data_CACTAAGGTCACTGAT-1", "iM.data_GTCTAGAAGTTGTCGT-1", "iM.data_TTGCATTGTGAAAGTT-1", "iM.data_TTTGTTGGTGAATTGA-1", "iM.data_AGACACTGTTTGTTGG-1", "iM.data_CTCAGAATCAAGGACG-1", "iM.data_AGACACTTCGTTAGTG-1", "iM.data_GTAAGTCTCTCTTCAA-1", "iM.data_TACGTCCCAACTAGAA-1", "iM.data_TGGAACTTCCTTCTAA-1", "iM.data_CAGATTGCAGCTGTAT-1", "iM.data_TCAATCTTCAAGTGTC-1", "iM.data_TCGTCCAGTTGCAAGG-1", "iM.data_GTCCTCACACAATTCG-1", "iM.data_CAGCCAGAGACTCATC-1", "iM.data_GAGTTACCATCAGTGT-1", "iM.data_AGCGCCATCCGTGTGG-1", "iM.data_CCGAACGAGTTTGTCG-1", "iM.data_GCATTAGTCTATTCGT-1", "iM.data_TGTGATGCAGTAGTTC-1", "iM.data_TACGCTCGTACGTGAG-1", "iM.data_TGTGTGACAAGTTTGC-1", "iM.data_AGGCTGCTCGCGCCAA-1", "iM.data_ATCTTCAGTAGGCAAC-1", "iM.data_CCTAAGAAGTCTCTGA-1", "iM.data_TCACGCTGTCGTACAT-1", "iM.data_AGACACTCAATTGCCA-1", "iM.data_AGTCATGTCTATGTGG-1", "iM.data_CGAAGGAGTCTGCCTT-1", "iM.data_CGCAGGTCACAAGTGG-1", "iM.data_TATCTTGGTGCTCTTC-1", "iM.data_CCGATCTGTTCGTACA-1", "iM.data_TAGCACATCACGATCA-1", "iM.data_CTGCCATGTGGATACG-1", "iM.data_ACCATTTTCGTCCATC-1", "iM.data_TCCGTGTTCATTGCGA-1", "iM.data_AGGTCTACAAATCAGA-1", "iM.data_AGGCTGCTCACGATAC-1", "iM.data_AGCGCCAAGTGCTCAT-1", "iM.data_TTCGCTGCAGGCAATG-1", "iM.data_TAGGGTTTCGACATCA-1", "iM.data_TTGCGTCTCATCCCGT-1", "iM.data_AGTACCATCGCCTTTG-1", "iM.data_AGATAGACAGCCTACG-1", "iM.data_GATTCGACAAGTAGTA-1", "iM.data_AGAACCTGTTTAGTCG-1", "iM.data_TGCATGAGTAGTATAG-1", "iM.data_CATTCATAGATGTAGT-1", "iM.data_GCAGCTGAGTCACTGT-1", "iM.data_ATTCTACTCGCTGACG-1", "iM.data_GGTGTCGGTCTTTCAT-1", "iM.data_AACAAGAAGCTGTCCG-1", "iM.data_AGGCCACAGATGATTG-1", "iM.data_ACTTAGGAGCGTTACT-1", "iM.data_TGTTCTATCGACATAC-1", "iM.data_TCATTCATCTTACCGC-1", "iM.data_TAGGTTGAGTACCCTA-1", "iM.data_TATCAGGTCATGCCCT-1", "iM.data_CATACAGGTCGCAGTC-1", "iM.data_ATCATTCGTGGGTTGA-1", "iM.data_CTTACCGCACCTTCGT-1", "iM.data_ACTTATCCACAAGTTC-1", "iM.data_TACAGGTCAGGAGACT-1", "iM.data_AGGATCTCAAGGCAAC-1", "iM.data_CATGGATTCGGTCATA-1", "iM.data_GTTACGACATGCTGCG-1", "iM.data_TGTGCGGGTCAGACGA-1", "iM.data_CCCTAACTCATCACAG-1", "iM.data_TATTCCACAAGTTTGC-1", "iM.data_TGTTGGAGTTCATCGA-1", "iM.data_AGTCATGGTATACCTG-1", "iM.data_GTCTGTCGTCATAGTC-1", "iM.data_ATGAAAGAGATTTGCC-1", "iM.data_TGTTGGACATGGCCCA-1", "iM.data_CATGGTAAGGGCTAAC-1", "iM.data_GCACGTGAGTATCCTG-1", "iM.data_TTGGATGCAGTGTGGA-1", "iM.data_TTGGATGCATCTGCGG-1", "iM.data_GAGTTACTCGGCGATC-1", "iM.data_TCGATTTAGTGTTCCA-1", "iM.data_TCAATTCTCTCTCGCA-1", "iM.data_TTGGGTAGTTCCGCGA-1", "iM.data_TTCTGTACACGCGTGT-1", "iM.data_AACCTTTTCGTCGCTT-1", "iM.data_GTATTGGTCTGAGCAT-1", "iM.data_CTACCCACAGAGACTG-1", "iM.data_CAAGCTAAGCCGAATG-1", "iM.data_GAATCGTGTCTCTCCA-1", "iM.data_GTCTGTCAGGCTAAAT-1", "iM.data_GGAGGTAGTCCGTTTC-1", "iM.data_TTTGTTGTCTTAGCCC-1", "iM.data_TGATTTCAGCCTTGAT-1", "iM.data_CCAAGCGGTGGAGAAA-1", "iM.data_ATGAGGGCAGTCCGTG-1", "iM.data_GTTACGATCTCGAACA-1", "iM.data_TCCGGGAGTCAAAGAT-1", "iM.data_GTAACCATCTTCTGTA-1", "iM.data_GATCCCTGTCATCCGG-1", "iM.data_CGGGCATTCTAGGCCG-1", "iM.data_GCAGTTAGTACCATAC-1", "iM.data_CACTAAGTCGTTGTTT-1", "iM.data_CCACAAAGTATGTGTC-1", "iM.data_TCGCAGGTCACTTGGA-1", "iM.data_TTTACTGCAAATGGCG-1", "iM.data_TCATGAGTCGATTGAC-1", "iM.data_GACTTCCGTTCAGCGC-1", "iM.data_AGAGCAGGTGAGCCAA-1", "iM.data_GAAATGACAGCCATTA-1", "iM.data_ACCTGAACACTGAGTT-1", "iM.data_AATTCCTAGACGGTTG-1", "iM.data_GAGTCATTCCATTTGT-1", "iM.data_ACTTATCTCTATCGCC-1", "iM.data_TACAACGTCTGAGAGG-1", "iM.data_TCGACCTCATGCTGCG-1", "iM.data_TCTGGCTTCCGTTGGG-1", "iM.data_TGACAGTTCGATTCCC-1", "iM.data_AACAAAGGTACTGACT-1", "iM.data_CGAGTGCTCGCACGAC-1", "iM.data_TACCTCGGTCACATTG-1", "iM.data_GCACGTGGTGCATACT-1", "iM.data_TCTGGCTGTGATCGTT-1", "iM.data_AATGGCTTCTGGACTA-1", "iM.data_CTCAACCCATAGATGA-1", "iM.data_CCGTTCATCTCGGGAC-1", "iM.data_GATCAGTCATCTGGGC-1", "iM.data_TTTGGTTAGACGCATG-1", "iM.data_GTTTACTAGAAGCTGC-1", "iM.data_GTGCGTGGTCATCTAG-1", "iM.data_AATGGAATCCCGAGGT-1", "iM.data_CTCATTAGTTGACTAC-1", "iM.data_TCTTAGTTCGGCATAT-1", "iM.data_GGGACTCTCACTGAAC-1", "iM.data_CACCGTTAGATCGCTT-1", "iM.data_ATTCTACAGAAGTCAT-1", "iM.data_TAGGGTTGTACACTCA-1", "iM.data_CATGGATGTTAGGGAC-1", "iM.data_ACAAGCTAGTAGAATC-1", "iM.data_GTGCGTGGTATGGTAA-1", "iM.data_GTAGAGGGTCCTGAAT-1", "iM.data_ATCCACCTCAAGCTGT-1", "iM.data_GATAGAAAGAAGGCTC-1", "iM.data_AGAACAATCTTGTTAC-1", "iM.data_CTGAATGGTTGCAACT-1", "iM.data_GGTGATTGTACCATAC-1", "iM.data_TTGTTTGTCGCAGTTA-1", "iM.data_GCTTGGGCAACCGTGC-1", "iM.data_ACTGCAATCAGGCGAA-1", "iM.data_ATTTACCCAAAGTATG-1", "iM.data_CCCTCAAGTATTGAGA-1", "iM.data_GAAGAATTCTTTGATC-1", "iM.data_TGCAGGCAGAAGCGCT-1", "iM.data_TCCAGAATCCCTTTGG-1", "iM.data_CCACGAGCACTATCCC-1", "iM.data_CTTCGGTGTCTTGCGG-1", "iM.data_CCTCCTCTCGATTCCC-1", "iM.data_TCCTTTCAGTACGAGC-1", "iM.data_TTGCATTAGCAGTACG-1", "iM.data_CAGCGTGTCAAGCCGC-1", "iM.data_ATGGAGGGTAGGTGCA-1", "iM.data_CTTCCTTCAAGAGCTG-1", "iM.data_AGACTCATCCGTTGGG-1", "iM.data_AAGTCGTCACACAGCC-1", "iM.data_AGTTCCCGTCCACAGC-1", "iM.data_CTAACCCGTACCTGTA-1", "iM.data_AGGACGAGTTTGGAGG-1", "iM.data_ACCCTTGGTTACGCCG-1", "iM.data_ACTTCGCAGACTCATC-1", "iM.data_ATGAGGGTCGGAAACG-1", "iM.data_AACCCAAGTAGACGGT-1", "iM.data_TAGACTGCAGTAACCT-1", "iM.data_CCCTTAGCAGTCTTCC-1", "iM.data_GACGTTATCTCGCTTG-1", "iM.data_GAGCTGCAGTAGCATA-1", "iM.data_TGTGGCGTCGTCGCTT-1", "iM.data_AATTCCTAGTAGGAAG-1", "iM.data_ACGGGTCCAGGCAATG-1", "iM.data_GACTCTCGTGCAACGA-1", "iM.data_ATATCCTCATGAGGGT-1", "iM.data_GGAATGGTCAAGCTGT-1", "iM.data_CATCGCTAGCGCTGCT-1", "iM.data_ATTATCCAGCCTCATA-1", "iM.data_TGCTCCAAGAGGTCGT-1", "iM.data_TGCATGAAGGCATGCA-1", "iM.data_CCGGACACACCAAAGG-1", "iM.data_TCATGGATCCATCTAT-1", "iM.data_CTTCTAATCGGCTGGT-1", "iM.data_ATTCAGGGTACGATGG-1", "iM.data_AGATGAAGTACGTGAG-1", "iM.data_ATTCAGGAGGGCAGGA-1", "iM.data_ATTACTCAGGGCCAAT-1", "iM.data_CAACAGTAGTATCCTG-1", "iM.data_AGCGCTGAGCATATGA-1", "iM.data_CCAATTTAGTTGTAAG-1", "iM.data_ACGTAGTCACTAGAGG-1", "iM.data_AATGGAATCCCGAAAT-1", "iM.data_GAAGAATTCGGACCAC-1", "iM.data_CGCAGGTGTTCAGGTT-1", "iM.data_TTCCTAAGTTATTCCT-1", "iM.data_GGTAACTCAGCTATTG-1", "iM.data_TCACATTGTAGTGATA-1", "iM.data_GTGTTAGGTGCCTACG-1", "iM.data_ACTTATCCACTCGATA-1", "iM.data_GTAGGAGTCGTGGAAG-1", "iM.data_TTTCAGTGTGATTCTG-1", "iM.data_GCTTCACGTCTACAAC-1", "iM.data_CTCAACCGTCTGATCA-1", "iM.data_GTAATCGTCTTCGTAT-1", "iM.data_GGCTTTCAGTTCTCTT-1", "iM.data_GAGTTTGTCATTATCC-1", "iM.data_GTTATGGGTTCGTACA-1", "iM.data_ACCTGTCAGGATACGC-1", "iM.data_TAATTCCAGGCTCTCG-1", "iM.data_GTCTGTCTCCTTGGAA-1", "iM.data_CGTGCTTTCCTAGCTC-1", "iM.data_AGCGCCACAAATTGGA-1", "iM.data_GACTGATTCTAAGCGT-1", "iM.data_TTCAGGATCTACTTCA-1", "iM.data_GGGTCTGGTGCCCGTA-1", "iM.data_TTCCACGCAAGGGCAT-1", "iM.data_GGGTTTACACCAGCTG-1", "iM.data_TCGCTTGGTGCCTATA-1", "iM.data_CATTCATTCCCGTTCA-1", "iM.data_ATCACAGTCCATTTGT-1", "iM.data_CTACAGACACGCAAAG-1", "iM.data_TAGGAGGTCATGACAC-1", "iM.data_GGGTCACGTGAGCGAT-1", "iM.data_AGAGCAGCACCGTGCA-1", "iM.data_TTCAATCCACTAGGCC-1", "iM.data_CTGGTCTAGGGCTAAC-1", "iM.data_TTACCATAGCTTAAGA-1", "iM.data_CACGTGGTCACACCCT-1", "iM.data_ATCACTTAGTTAGAAC-1", "iM.data_CAAGGGAGTCAGGAGT-1", "iM.data_TTACCGCCAGAGGAAA-1", "iM.data_GCATGATAGGCATGGT-1", "iM.data_TTTCCTCCAGCGTGCT-1", "iM.data_TAGACCAGTCCTTGTC-1", "iM.data_ACTGTCCCAACTCATG-1", "iM.data_TAGGTTGTCCTTATCA-1", "iM.data_TTACTGTCAACGTAAA-1", "iM.data_ATCACAGAGACGGATC-1", "iM.data_CACGGGTGTATACCTG-1", "iM.data_CAATGACTCGATACAC-1", "iM.data_TGTACAGAGTTCGGTT-1", "iM.data_ATTACTCGTCTCCTGT-1", "iM.data_CATTCTATCGCAGATT-1", "iM.data_CCTCTAGAGCAATTCC-1", "iM.data_AGGTTACTCCGGTAAT-1", "iM.data_AAAGGGCGTCGAACAG-1", "iM.data_CAACCTCGTAAGCGGT-1", "iM.data_AAACGCTCAACAAGTA-1", "iM.data_ATGCATGGTCAGGTGA-1", "iM.data_GGGATCCGTATATGGA-1", "iM.data_CATTGTTGTAGCTAAA-1", "iM.data_TTGCCTGGTGGATCAG-1", "iM.data_TACACCCAGCATAGGC-1", "iM.data_AAGTCGTAGCACTTTG-1", "iM.data_GCCCGAACAGGCATGA-1", "iM.data_CATTGTTAGATAGTCA-1", "iM.data_GTTCCGTCAGTTTCAG-1", "iM.data_TGTGCGGTCCTGTTAT-1", "iM.data_ACGCACGCATGGCTGC-1", "iM.data_TGAGGGATCCGTCCTA-1", "iM.data_AGAGCAGTCGAGCTGC-1", "iM.data_TCACGGGGTGCCCACA-1", "iM.data_TATCCTAGTTCAGTAC-1", "iM.data_ACTTTGTTCTGCGGAC-1", "iM.data_TGTGTGATCGTCAAAC-1", "iM.data_TGATGGTAGGCCACTC-1", "iM.data_TCCTCTTGTGTATACC-1", "iM.data_GGTTGTAAGTATTAGG-1", "iM.data_TTCTTCCGTTTGAACC-1", "iM.data_GTAACACTCCTCACTG-1", "iM.data_GCCCAGACATACGCAT-1", "iM.data_TGTGCGGTCATTTGCT-1", "iM.data_CAACCTCAGTAGGCCA-1", "iM.data_AGGATCTCAATAGAGT-1", "iM.data_GGTAGAGAGGAAGAAC-1", "iM.data_GGGATGATCCATCCGT-1", "iM.data_GTTGTCCTCTATCCAT-1", "iM.data_GTCCCATGTTCGGTAT-1", "iM.data_TTTATGCCAATACCTG-1", "iM.data_AGAAATGCATGAGGGT-1", "iM.data_GTGACGCCACGTACTA-1", "iM.data_TAAGTCGTCTCGTGGG-1", "iM.data_GCTGCAGGTACAACGG-1", "iM.data_CCACGAGTCACTCCGT-1", "iM.data_AGGCATTGTGTGACCC-1", "iM.data_GCAGGCTCATCATTGG-1", "iM.data_GACTATGCAGGGATAC-1", "iM.data_CATGCAAAGTTGTAGA-1", "iM.data_ATCCATTAGGCTAGCA-1", "iM.data_AGGACTTCAGTGGCTC-1", "iM.data_CGAAGTTCAAAGGAGA-1", "iM.data_TCGCAGGCATGTGGCC-1", "iM.data_AGTCAACTCCAACTGA-1", "iM.data_CGCATAAGTATGCTAC-1", "iM.data_TTTACTGGTGATAGAT-1", "iM.data_GGTTCTCTCCGCACTT-1", "iM.data_TCTCACGCATATACCG-1", "iM.data_GACTGATGTTCCGCAG-1", "iM.data_GAAGGGTTCGATGCAT-1", "iM.data_AACAAGAGTTTACTGG-1", "iM.data_TTCATTGCACTTTATC-1", "iM.data_AGTACTGGTAGCACAG-1", "iM.data_GATGATCAGTTTGAGA-1", "iM.data_TCATACTCAGTCGTTA-1", "iM.data_TTCCTTCCAGGAATCG-1", "iM.data_CCTGTTGTCTACACAG-1", "iM.data_TCAGTTTAGACTTCGT-1", "iM.data_ACTGATGTCAAGAGGC-1", "iM.data_TCCGAAATCGCACGAC-1", "iM.data_TACCTGCTCGTTGTAG-1", "iM.data_CGGAACCTCGTCTCAC-1", "iM.data_ACTCCCAGTATACCCA-1", "iM.data_GGCAGTCTCTAGTACG-1", "iM.data_GGGTGTCGTCAAAGTA-1", "iM.data_AATCGTGGTAGCTCGC-1", "iM.data_CAAAGAATCTATTTCG-1", "iM.data_ACGTTCCAGTTCAACC-1", "iM.data_CAGCAATAGTCTAACC-1", "iM.data_ATGAGTCGTTAAGGGC-1", "iM.data_GGTTGTAAGTGCAGGT-1", "iM.data_ATCGTAGCAAGTGTCT-1", "iM.data_TTGTTGTCAGCTACTA-1", "iM.data_TTCTGTAAGCCACAAG-1", "iM.data_CTTGAGACATAAGCAA-1", "iM.data_TCCTCCCAGAATCGAT-1", "iM.data_TCATCATGTGTGTCGC-1", "iM.data_ATAGGCTCAATTGCGT-1", "iM.data_GCCAGGTGTAGGGTAC-1", "iM.data_AGCATCACATCACGGC-1", "iM.data_ACGGAAGGTGAAGCTG-1", "iM.data_GCTGAATGTCCTCAGG-1", "iM.data_CCAATGACAGTGAGCA-1", "iM.data_CTGGACGCAACTTGCA-1", "iM.data_CTGTGGGGTCAGACGA-1", "iM.data_TGTTCATCATGTGGCC-1", "iM.data_TGCCGAGTCTGCCTGT-1", "iM.data_TCAAGACAGCCTGAGA-1", "iM.data_ACACCAAAGCGTTCAT-1", "iM.data_TGAGCATCAGGCCTGT-1", "iM.data_GGGAGTAAGTAGACCG-1", "iM.data_GAGTGTTGTTGTAGCT-1", "iM.data_AGGGCTCCACAAACGG-1", "iM.data_ATTACTCTCCTTATCA-1", "iM.data_TCAATCTTCAGCCCAG-1", "iM.data_CTCAATTGTTGAGTCT-1", "iM.data_ACTTATCGTCGTACAT-1", "iM.data_GGGCGTTTCGCAATGT-1", "iM.data_AGGTTACGTGATGTAA-1", "iM.data_CCAAGCGAGGTCGCCT-1", "iM.data_ATCAGGTTCAGACCGC-1", "iM.data_AGCTTCCGTCTACGAT-1", "iM.data_TATTCCATCCGACATA-1", "iM.data_CTCTCAGGTAGCTTAC-1", "iM.data_ACGGTCGGTGTTAAAG-1", "iM.data_TCCAGAAAGACGCCAA-1", "iM.data_AGTGTTGCACAGCTGC-1", "iM.data_CTGTACCGTCAACACT-1", "iM.data_CACAGATTCCGCATAA-1", "iM.data_TATCCTATCATGTCAG-1", "iM.data_TCTATCATCTTTCCAA-1", "iM.data_ACTGTGATCTCGCCTA-1", "iM.data_TAACGACTCTTCTGGC-1", "iM.data_CACTAAGCACTACCGG-1", "iM.data_ACCCAAAAGGGACCAT-1", "iM.data_ATCCACCGTTGCCAAT-1", "iM.data_TCCCATGGTACAAAGT-1", "iM.data_TCATACTTCCCATAGA-1", "iM.data_ATCACGATCAATCCGA-1", "iM.data_TCAGTTTCAAGACTGG-1", "iM.data_GACGTTAGTTAGCTAC-1", "iM.data_GGACGTCCACTTCCTG-1", "iM.data_CTAACCCAGGGAGGTG-1", "iM.data_TGGTGATCATCATTGG-1", "iM.data_ATTCAGGCAGTAGGAC-1", "iM.data_GATAGAAGTGGATCAG-1", "iM.data_TAAGTCGGTCCACTTC-1", "iM.data_AGCTCAATCCAGTGTA-1", "iM.data_GACTTCCGTTCTCTCG-1", "iM.data_GGTTCTCAGAGGCGTT-1", "iM.data_TCAAGTGCAAACTCTG-1", "iM.data_GAGTTGTTCAACTCTT-1", "iM.data_TCCACCAGTTCTCCTG-1", "iM.data_TTCTTGATCTTCGGAA-1", "iM.data_ATTCCCGGTCGCGTCA-1", "iM.data_TACGGTAGTGCTCTCT-1", "iM.data_CTCCAACGTGCATACT-1", "iM.data_CGTCAAAAGCTCTTCC-1", "iM.data_GTCGCGATCCTGTTAT-1", "iM.data_TGGAGGACAGCTACAT-1", "iM.data_TGACGCGGTTAGTCGT-1", "iM.data_GTCATTTTCACCACAA-1", "iM.data_CCGGACACAGTCGCTG-1", "iM.data_ACAACCAGTGGACAGT-1", "iM.data_AACCAACTCGCAGAGA-1", "iM.data_GACTGATTCACCACAA-1", "iM.data_CCTCAGTCAGCTACTA-1", "iM.data_GATCCCTGTGTTGACT-1", "iM.data_AAAGTCCGTTGCCATA-1", "iM.data_TCGTAGAGTCTACGAT-1", "iM.data_AGTGATCGTGTCGCTG-1", "iM.data_GTGTTAGTCTAGATCG-1", "iM.data_GAAATGATCTGGTTGA-1", "iM.data_CAGGCCACAGGTTCCG-1", "iM.data_ACTACGAGTAATTGGA-1", "iM.data_AGTTAGCAGCTCCACG-1", "iM.data_TCGAACATCTGACCCT-1", "iM.data_GCCAGCAGTTTCAGAC-1", "iM.data_TGTGGCGGTTTCGTAG-1", "iM.data_ACTATTCAGGTTAGTA-1", "iM.data_AGGGTTTTCCATCTAT-1", "iM.data_CATAAGCAGTTGCCTA-1", "iM.data_GTTACAGGTTTGGCTA-1", "iM.data_GCAACATTCCATGCAA-1", "iM.data_ACAAGCTCAGATTCGT-1", "iM.data_AACAGGGTCCCACAGG-1", "iM.data_TTGGATGGTTGGCTAT-1", "iM.data_TACCTGCCATACAGGG-1", "iM.data_GAAGAATCACCGTCTT-1", "iM.data_AGTCTCCTCTCGCTTG-1", "iM.data_AGGCTGCCAGCGAACA-1", "iM.data_TCCTTCTTCTCGAGTA-1", "iM.data_GGAGATGTCCCAGGCA-1", "iM.data_CTCCCAACATGTGACT-1", "iM.data_TGAGACTAGATCGCTT-1", "iM.data_CGGGCATAGAATCCCT-1", "iM.data_ACCAAACAGCCAGACA-1", "iM.data_ATGATCGGTCGATTTG-1", "iM.data_TGTAAGCTCAAGCTGT-1", "iM.data_TCAGTCCAGTGGAATT-1", "iM.data_GTGGCGTAGCCTATTG-1", "iM.data_TCAAGCAGTCGCCACA-1", "iM.data_TAACTTCGTGTCTAAC-1", "iM.data_TAGACCAGTAGCTGCC-1", "iM.data_ACCCTTGAGTCATCCA-1", "iM.data_AGACAAACATGTGCCG-1", "iM.data_TACATTCTCCCTCATG-1", "iM.data_AACCAACGTCGTACTA-1", "iM.data_CGCGTGAGTTAATCGC-1", "iM.data_ATAGAGAAGACATATG-1", "iM.data_TGATGCACATTGTGCA-1", "iM.data_GATCAGTTCCCTCTCC-1", "iM.data_AGTCTCCGTCGATGCC-1", "iM.data_GACTATGAGCTACTAC-1", "iM.data_CTCAGGGGTGATAGAT-1", "iM.data_AATGAAGAGAGAGCCT-1", "iM.data_CACCAAAGTGATCGTT-1", "iM.data_TGGTACAGTCTTCAAG-1", "iM.data_GACGTTACATCAGCTA-1", "iM.data_CTCCATGTCTTGTTAC-1", "iM.data_CTGGACGCATACACCA-1", "iM.data_AGTCTCCGTCTCGCGA-1", "iM.data_GTATTTCTCCTCTCTT-1", "iM.data_ATTCAGGGTCGAATTC-1", "iM.data_ATGAGTCGTACTGGGA-1", "iM.data_AGCATCATCTGTCCGT-1", "iM.data_GGTCACGCACCCGTAG-1", "iM.data_AGTGTTGAGCACTCGC-1", "iM.data_TACTGCCTCCAACTAG-1", "iM.data_TCGGTCTAGTCTCGTA-1", "iM.data_TCATCCGGTGTTCAGT-1", "iM.data_CATCGCTTCTTCTAAC-1", "iM.data_TTCTTGACAGATGCGA-1", "iM.data_TCATATCAGAGCCGTA-1", "iM.data_GTCAAGTTCTTAGCCC-1", "iM.data_ACGTACACAAATCAAG-1", "iM.data_GATGGAGCATTGTACG-1", "iM.data_CATCGCTCATGACGTT-1", "iM.data_TCACGCTGTGCTTCAA-1", "iM.data_TGCACGGCACCAGCGT-1", "iM.data_CAGCGTGTCTTTGCGC-1", "iM.data_CTTCAATGTGTCTTCC-1", "iM.data_TACTGCCCACAGGATG-1", "iM.data_TTGATGGCACGAGGTA-1", "iM.data_CGGCAGTGTCCGGTCA-1", "iM.data_CTGAGGCAGTATGAAC-1", "iM.data_TTTGTTGAGTCATGGG-1", "iM.data_AAAGGATAGCTGACAG-1", "iM.data_CCTAAGACAACTGCTA-1", "iM.data_CCCTCTCAGTAGGTTA-1", "iM.data_CGTGAATCACACACGC-1", "iM.data_CGTGCTTGTGTACAGG-1", "iM.data_TCAGTTTCAAGCGAGT-1", "iM.data_AGATAGAGTCTCAGAT-1", "iM.data_AGCCAATGTAGAATAC-1", "iM.data_TGCTCGTCACGACGTC-1", "iM.data_TTGTTTGGTCCGGCAT-1", "iM.data_GTAAGTCCAACTAGAA-1", "iM.data_CAAGCTAAGTCCCGAC-1", "iM.data_CATCCCAAGCACTCTA-1", "iM.data_CGAGGCTAGTTACTCG-1", "iM.data_TGGGCTGCACATATGC-1", "iM.data_TTCCTTCTCGTGTGAT-1", "iM.data_ATTTCACGTATCGCAT-1", "iM.data_CTCCGATAGAAGAGCA-1", "iM.data_TGTTTGTCATCTTAGG-1", "iM.data_GCAACCGTCAGCAATC-1", "iM.data_CCTTGTGAGGACCCAA-1", "iM.data_GCAGCTGAGCGTTCCG-1", "iM.data_GTGAGCCTCAGGAACG-1", "iM.data_ACTATTCTCCCAAGCG-1", "iM.data_TCACTATTCGAGAGAC-1", "iM.data_TCGAACAAGTGGATAT-1", "iM.data_TTCTTGAGTGAGTAAT-1", "iM.data_GAGGCCTGTAGCTGCC-1", "iM.data_AGGCCACAGAGTTGCG-1", "iM.data_CCTCTCCAGTAGACCG-1", "iM.data_CTGCCATCAACGACAG-1", "iM.data_TAACACGAGTTACGTC-1", "iM.data_AGGCATTAGGGCTGAT-1", "iM.data_AACAGGGTCTGACAGT-1", "iM.data_AGGAATAGTCTACAAC-1", "iM.data_TCCTTTCAGCGCAATG-1", "iM.data_GTTACAGGTCATCTAG-1", "iM.data_ATAGGCTAGATTGATG-1", "iM.data_CTGGACGGTCGCATTA-1", "iM.data_TCAGTTTTCATCACCC-1", "iM.data_AGTAGTCCATAGACTC-1", "iM.data_ATGCGATGTTGGAGGT-1", "iM.data_CATCGCTGTAATACCC-1", "iM.data_CTAACCCCACATACTG-1", "iM.data_TGAGGTTGTGGTAACG-1", "iM.data_TAAGCGTAGGGTTAGC-1", "iM.data_CAATTTCCAGTAACCT-1", "iM.data_CATGAGTAGTAGCCAG-1", "iM.data_GCCAACGTCTGGCCGA-1", "iM.data_TCGCTCACACAATGTC-1", "iM.data_ATGAAAGTCGCCAGTG-1", "iM.data_GTATTTCAGGTCCAGA-1", "iM.data_TACTTCATCCGCACGA-1", "iM.data_CATAAGCCACATGGTT-1", "iM.data_TAATTCCCAGCTTTGA-1", "iM.data_TTCCAATGTACGAGCA-1", "iM.data_AGATGAAAGTGTTCCA-1", "iM.data_CCCTTAGCAAACGAGC-1", "iM.data_TCATCATCAATCTCGA-1", "iM.data_GTGGAAGCATTACTCT-1", "iM.data_CAAGGGAGTTGCCGAC-1", "iM.data_GGCTGTGAGCCGCTTG-1", "iM.data_ACACAGTCACGCGTGT-1", "iM.data_ATCATTCCAGAGCTAG-1", "iM.data_CTTCCGACAACGACTT-1", "iM.data_TCTCCGAGTACATACC-1", "iM.data_ACGTACACACTTTAGG-1", "iM.data_TTCAATCGTATCAGCT-1", "iM.data_ATGGATCAGACGACGT-1", "iM.data_AGTCACATCGGTGAAG-1", "iM.data_AGGTCATCATAGGCGA-1", "iM.data_GCACATATCACATTGG-1", "iM.data_CCTCATGTCGAAATCC-1", "iM.data_ACGATCACAGGTGGAT-1", "iM.data_CTCAACCTCCCATTTA-1", "iM.data_ACCTGTCTCGTTGTAG-1", "iM.data_TCAGGTATCTGGGCAC-1", "iM.data_TCCCAGTAGGGTTGCA-1", "iM.data_GACTCTCTCTACTGCC-1", "iM.data_TCGTCCACATGTTTGG-1", "iM.data_CTACTATTCCTGTACC-1", "iM.data_GTCAAACCAGGCCTGT-1", "iM.data_TCATTCAAGCTTCTAG-1", "iM.data_AATGAAGAGACATAGT-1", "iM.data_CCTCCAAAGATGACCG-1", "iM.data_TAGACTGCAGAGGCAT-1", "iM.data_CATGGTATCTGGTGCG-1", "iM.data_AGTTAGCAGGCGAACT-1", "iM.data_TCGACCTGTCTGTGTA-1", "iM.data_CTGTGAACACTTCAGA-1", "iM.data_GGGACAACAGCTACTA-1", "iM.data_TCACATTTCTGCTAGA-1", "iM.data_ACTATCTAGTAGCAAT-1", "iM.data_TGCTCCATCGAACACT-1", "iM.data_TCCTAATTCGTTCAGA-1", "iM.data_GGTGGCTCAGAATTCC-1", "iM.data_CCTGCATGTGGAGAAA-1", "iM.data_TTGGATGTCCTTCTAA-1", "iM.data_GAGGGATAGCCTGCCA-1", "iM.data_TACCTGCGTCATAACC-1", "iM.data_CCCTAACTCTTCTGGC-1", "iM.data_CATGCTCAGAAACTCA-1", "iM.data_CCCGAAGCAGCAGTGA-1", "iM.data_AAAGAACCACTCGATA-1", "iM.data_ACTGTCCCAGTCACGC-1", "iM.data_AGTACTGGTCGTATGT-1", "iM.data_TTCTTGAGTGCTGTCG-1", "iM.data_CTCACTGGTAGATCCT-1", "iM.data_TGCAGTAAGCCTGACC-1", "iM.data_TGAGGAGAGACCTTTG-1", "iM.data_GTTCTATCATACTTTC-1", "iM.data_AGGAAATTCCACAGCG-1", "iM.data_GGGCTACTCGTGGAAG-1", "iM.data_CCGGGTACAGCTGGTC-1", "iM.data_TAGGTTGCAGCGAACA-1", "iM.data_ATCCCTGAGGACTTCT-1", "iM.data_TTCACGCCATGTCAGT-1", "iM.data_GGTGGCTTCGCACTCT-1", "iM.data_AAGACAAAGTTGCATC-1", "iM.data_TCGCACTTCACTACTT-1", "iM.data_GAATAGACACCGTGCA-1", "iM.data_TACCGAATCACCTGTC-1", "iM.data_AGGCCACAGTAATACG-1", "iM.data_CAATCGAAGAATCTAG-1", "iM.data_GTTAGACTCTTGCAAG-1", "iM.data_AGGCCACCAAGTGCTT-1", "iM.data_TGGTGATGTGAGCAGT-1", "iM.data_TCATCCGTCGACCACG-1", "iM.data_CATCAAGGTGATGGCA-1", "iM.data_GTGAGTTTCTGTTGGA-1", "iM.data_TGGAGGATCAGTGATC-1", "iM.data_ATCACGACACACGTGC-1", "iM.data_ATTCAGGTCACTCACC-1", "iM.data_CTAACCCGTTGTGTAC-1", "iM.data_CCTCAGTTCTCATGCC-1", "iM.data_GGGTATTTCAATCCGA-1", "iM.data_ATGGGTTTCATGAAAG-1", "iM.data_CCTCCAACACAGTCAT-1", "iM.data_GCAACCGTCTGTACAG-1", "iM.data_GACAGCCCAGTCGAGA-1", "iM.data_ACGTAACGTAGTCTGT-1", "iM.data_TCTGGCTCACCAGACC-1", "iM.data_GAGTTACCAGCTCCTT-1", "iM.data_AATGACCGTCCGAAAG-1", "iM.data_TCACTCGGTCACGCTG-1", "iM.data_AGGCCACTCATTTCGT-1", "iM.data_CACTGGGAGCTGCCTG-1", "iM.data_GGTGGCTGTTAAAGTG-1", "iM.data_CTCAGAATCGTGCTCT-1", "iM.data_CGTGCTTGTGTGGACA-1", "iM.data_GAGTGAGGTCGGTGTC-1", "iM.data_TCACGCTCATGTGTCA-1", "iM.data_AAGACTCTCAAGAGTA-1", "iM.data_CCCTCAAGTTTGCAGT-1", "iM.data_GTAGAAAAGCCTGTCG-1", "iM.data_TGACTCCAGCAATTCC-1", "iM.data_CCGTAGGCAGATCCTA-1", "iM.data_TCCTCTTGTCGTATGT-1", "iM.data_GTGATGTCAGGAAGTC-1", "iM.data_GTCTGTCGTCGTAATC-1", "iM.data_GCAACCGGTGGATCGA-1", "iM.data_GTTCATTTCCCGTGTT-1", "iM.data_GAGCCTGGTCAGGTAG-1", "iM.data_CCGTTCAAGTCCCAAT-1", "iM.data_CAACAGTGTGGCTTAT-1", "iM.data_AAGATAGGTAGACACG-1", "iM.data_TAGAGTCTCGGCTCTT-1", "iM.data_AACCCAACAAGGCGTA-1", "iM.data_CATTGAGTCGTGGCTG-1", "iM.data_GAAGGACAGGTCGTAG-1", "iM.data_GACTCAATCTGGCCAG-1", "iM.data_TCATTCATCTATGTGG-1", "iM.data_AGGGCTCAGCATACTC-1", "iM.data_GTTATGGAGTCTAGCT-1", "iM.data_CATCCCAAGAAATTCG-1", "iM.data_ATGCGATGTAGCTTTG-1", "iM.data_AGCCAATTCGGTTCAA-1", "iM.data_GACTCTCTCCGTAGGC-1", "iM.data_GTGACGCCACACGGAA-1", "iM.data_ACAACCACACACAGCC-1", "iM.data_CACGTTCTCGGCATTA-1", "iM.data_TGTAAGCCAACACAAA-1", "iM.data_TACAGGTAGCTCAGAG-1", "iM.data_TCAATCTAGTAATTGG-1", "iM.data_TCATGAGAGTAGCAAT-1", "iM.data_GGTCACGTCAACTGGT-1", "iM.data_GGGATCCGTGCATTTG-1", "iM.data_CTGAGGCGTTGTTGAC-1", "iM.data_CTCAAGACAACGCCCA-1", "iM.data_CTGGTCTGTAGGATAT-1", "iM.data_AGATAGATCTATCCAT-1", "iM.data_CCTCATGTCAAGGTGG-1", "iM.data_AGAACCTCAGGGAATC-1", "iM.data_TAAGCCATCTCGTGAA-1", "iM.data_CTCACTGGTAATACCC-1", "iM.data_GTTCGCTTCCGCTGTT-1", "iM.data_TTGGGATTCAGACTGT-1", "iM.data_GCATGATTCAGCACCG-1", "iM.data_CGTCAAAAGGCAGCTA-1", "iM.data_AGACAGGAGCACGATG-1", "iM.data_CTGTAGAGTTGCCGCA-1", "iM.data_AACACACTCCACAGCG-1", "iM.data_CTGATCCTCAGCATTG-1", "iM.data_GGAACCCGTGTTAAAG-1", "iM.data_CTACCTGTCTAGCCAA-1", "iM.data_CGACAGCAGCGTATAA-1", "iM.data_TTACAGGAGGTCGAGT-1", "iM.data_AGTACCAAGCCACTCG-1", "iM.data_CGCATAACAATAGGGC-1", "iM.data_TAGATCGAGGAGAGTA-1", "iM.data_CAAGGGATCTCGTGGG-1", "iM.data_CGTAATGTCGACGCTG-1", "iM.data_TGTCCCACACATCATG-1", "iM.data_ATTCATCTCGTAGTGT-1", "iM.data_ATTCTACGTGTGTCGC-1", "iM.data_TGAACGTCATGGTGGA-1", "iM.data_TGATGGTTCTGCATGA-1", "iM.data_AAGATAGAGAGAGCGG-1", "iM.data_GTCACGGTCATGTCAG-1", "iM.data_TTCCTAAGTCTCAAGT-1", "iM.data_GTGCAGCTCAAGCTGT-1", "iM.data_CTGGCAGAGGTACAAT-1", "iM.data_AGTAACCAGAGTCAAT-1", "iM.data_CGCATGGGTGAGCTCC-1", "iM.data_TAGACCACAACCAATC-1", "iM.data_GTTAGTGTCTACTCAT-1", "iM.data_CTTCGGTGTGGCAGAT-1", "iM.data_GTTCATTGTAAGATCA-1", "iM.data_TCAGGGCCAATTGGTC-1", "iM.data_AGTCACAGTTCAAGGG-1", "iM.data_CGGAATTCACATTCGA-1", "iM.data_GGGTTTACAGTAGTTC-1", "iM.data_AGGTCTATCGCTACGG-1", "iM.data_CAAGCTAGTTCCTTGC-1", "iM.data_TAGACTGCACGTATAC-1", "iM.data_ACGGGTCGTTAAGCAA-1", "iM.data_TACCGAACACAACGCC-1", "iM.data_AAGATAGGTAATTGGA-1", "iM.data_ATAGACCCAGAGTCAG-1", "iM.data_GGTGAAGAGACTTCAC-1", "iM.data_ATAGAGATCTGACAGT-1", "iM.data_CATTGCCCAGCGTTTA-1", "iM.data_TCATTGTTCCACTTCG-1", "iM.data_AACCATGAGAGTAACT-1", "iM.data_CTCCTCCAGTCACACT-1", "iM.data_AGGACGATCGCGATCG-1", "iM.data_AACCATGGTTGGGTTT-1", "iM.data_TGCATCCTCGGACTTA-1", "iM.data_TCCTAATCACCGTCTT-1", "iM.data_CTACCTGGTTAGGGAC-1", "iM.data_AGGATAAGTTGGACCC-1", "iM.data_TAACCAGCATAACCCA-1", "iM.data_CTTACCGTCTCTCCGA-1", "iM.data_TGCTCGTAGTAACAGT-1", "iM.data_TACTTGTTCAGTCTTT-1", "iM.data_TTCTGTATCTCGTGAA-1", "iM.data_AACCTGAAGGTCCCGT-1", "iM.data_TCAGCAAGTCTTTCTA-1", "iM.data_CTAACCCAGTAAACAC-1", "iM.data_CTTCTCTGTATCAGGG-1", "iM.data_ATACTTCAGCAGGGAG-1", "iM.data_ATGACCAGTAGGTGCA-1", "iM.data_GTAATGCTCCATACTT-1", "iM.data_AAGCATCCATGACTCA-1", "iM.data_GACCCAGAGCCAGACA-1", "iM.data_TCATTCATCTTCTTCC-1", "iM.data_TTTGATCCAGGTTCGC-1", "iM.data_TTTGGAGAGTCAAGCG-1", "iM.data_CGCGTGAGTTAGTTCG-1", "iM.data_GGTAGAGCATTCTCTA-1", "iM.data_GTTGCTCCATTCATCT-1", "iM.data_TCATTGTAGAGGCTGT-1", "iM.data_CTTCTCTTCGGATACT-1", "iM.data_AGGTTGTTCCTCAGGG-1", "iM.data_CTGTGAACAGAGCCCT-1", "iM.data_ATTTCTGGTCACTTCC-1", "iM.data_TGCGACGTCGGAACTT-1", "iM.data_AACAACCAGTGACCTT-1", "iM.data_GCTGGGTGTTCTTCAT-1", "iM.data_GAGGCAATCTGAGAAA-1", "iM.data_TGATGGTAGGGCGAAG-1", "iM.data_ATGAAAGGTCTTGCGG-1", "iM.data_CGAGAAGGTATTGCCA-1", "iM.data_GACCAATCATTCGATG-1", "iM.data_ATGAAAGTCCTTCGAC-1", "iM.data_CAATGACCACCCTCTA-1", "iM.data_AATGACCAGACTGGGT-1", "iM.data_GGGTTTAGTTGGAGAC-1", "iM.data_GAACTGTAGGTATTGA-1", "iM.data_GCGTGCATCATTTCGT-1", "iM.data_CACGTTCAGTAAGAGG-1", "iM.data_TGGGCGTTCTGAATCG-1", "iM.data_TATTCCACAACTCCCT-1", "iM.data_AAGGTAAGTTAGGGTG-1", "iM.data_ACTTTGTGTCAATGGG-1", "iM.data_GTTATGGGTCTGTGTA-1", "iM.data_CATACCCTCTGGTCAA-1", "iM.data_ACTATTCAGGCGATAC-1", "iM.data_TCAGCAATCTAACACG-1", "iM.data_TATCCTACAGCCTTCT-1", "iM.data_TATACCTCACTGAGGA-1", "iM.data_AGACCATAGTCACTGT-1", "iM.data_GTTACGATCTGTAACG-1", "iM.data_CCAATGAGTTACGGAG-1", "iM.data_GTTGCTCAGAGTCCGA-1", "iM.data_GTCTGTCCATAGACTC-1", "iM.data_ATTACCTGTCAACGCC-1", "iM.data_CGTCCATCATGAATCC-1", "iM.data_CGTAATGCACCAATTG-1", "iM.data_ATGAGTCCAAGTGACG-1", "iM.data_CCCATTGCAGAACTCT-1", "iM.data_AGTCAACGTCTTGAGT-1", "iM.data_CTCAAGATCCATGCAA-1", "iM.data_GTGTGATTCGTTCCCA-1", "iM.data_GATTCTTTCCACTAGA-1", "iM.data_ACGATCAAGTCTCCTC-1", "iM.data_GCGGAAACACCCGTAG-1", "iM.data_TCATCCGAGCATCAGG-1", "iM.data_CCCTTAGGTCGCAACC-1", "iM.data_GTGCGTGAGATGAACT-1", "iM.data_ACCCTTGAGCATATGA-1", "iM.data_GTGTTCCCATGGGTTT-1", "iM.data_GAAGTAATCACTGAAC-1", "iM.data_GAGTTTGTCTAACGCA-1", "iM.data_GAAGCCCGTAAGTTGA-1", "iM.data_GTGAGCCTCAGGACGA-1", "iM.data_GACCTTCCACGCTATA-1", "iM.data_TACTTGTTCGAACCTA-1", "iM.data_TCAAGTGCATCATTGG-1", "iM.data_GAGTGTTGTCAAAGTA-1", "iM.data_ACTTAGGCAGATCCAT-1", "iM.data_CATGCTCCAGAGGAAA-1", "iM.data_AAGACAAAGGCCTGAA-1", "iM.data_AAGCCATTCATCGCAA-1", "iM.data_ACAGGGATCGCACTCT-1", "iM.data_GGGCTACAGCCACTCG-1", "iM.data_TGGAGGAGTGGAAATT-1", "iM.data_AGCCAGCAGCCGGAAT-1", "iM.data_GAGTTGTTCCATAGGT-1", "iM.data_TCCTTTCTCGTGGCTG-1", "iM.data_ATGAAAGAGTCATCCA-1", "iM.data_ATTCTTGGTACGGGAT-1", "iM.data_CTGTGAACAATCTCGA-1", "iM.data_TACCGGGAGTTAGTAG-1", "iM.data_AACAACCAGCCTCTGG-1", "iM.data_TCGCAGGCACCCATAA-1", "iM.data_CCACAAAGTCTAGGTT-1", "iM.data_CCCTTAGAGCGAGTCA-1", "iM.data_ACAAGCTCACTAGGTT-1", "iM.data_TATTTCGAGCTGGCTC-1", "iM.data_TTGACCCCACAGACGA-1", "iM.data_GGCACGTGTTAGCGGA-1", "iM.data_TCCGATCGTATCGAGG-1", "iM.data_TCAAGCAGTGGCTGAA-1", "iM.data_CGTGAATAGACCACGA-1", "iM.data_CAACCAATCACCACAA-1", "iM.data_CAGCCAGCAATACGCT-1", "iM.data_TTCCTTCTCCGATAAC-1", "iM.data_ATCTCTAAGGTGGGTT-1", "iM.data_GCGATCGCAACCACAT-1", "iM.data_TGTGATGGTTATGTGC-1", "iM.data_AGAAATGAGACAGCGT-1", "iM.data_AGCTACAAGGGTGAAA-1", "iM.data_AACACACTCCGATAAC-1", "iM.data_TTAGTCTAGACCTGGA-1", "iM.data_TTCCGTGCAGGATTCT-1", "iM.data_AAACCCACAACAACAA-1", "iM.data_CAATGACGTGACGTCC-1", "iM.data_TTGGGCGAGTTGCTCA-1", "iM.data_GACGTTATCTGGGTCG-1", "iM.data_ATCCCTGCAGCTGCCA-1", "iM.data_CACGTGGAGAGAGCAA-1", "iM.data_GTATTGGTCCGACGGT-1", "iM.data_ACGATCATCTGATGGT-1", "iM.data_ATAGGCTTCACGAGGA-1", "iM.data_AAGATAGAGTGGTTAA-1", "iM.data_TTTAGTCAGGACAAGA-1", "iM.data_GGTTCTCAGAGGGTCT-1", "iM.data_TCCTAATAGTTAGAAC-1", "iM.data_TTTGTTGCACAAGTTC-1", "iM.data_ACTATCTGTCAGCGTC-1", "iM.data_TCATACTAGGTACAAT-1", "iM.data_TTCTAGTTCGCCGTGA-1", "iM.data_ATCATTCTCACCTTAT-1", "iM.data_AACGTCATCAAACTGC-1", "iM.data_CCTTCAGCAAATCAAG-1", "iM.data_CTCAGGGTCCCTTTGG-1", "iM.data_TTTACTGGTACCCGAC-1", "iM.data_TGGAGGATCGGCTATA-1", "iM.data_CAGAGCCCAGCGTTTA-1", "iM.data_CTCTGGTGTCATAACC-1", "iM.data_AACGGGAGTGGCTTAT-1", "iM.data_CTGTACCTCTAGCCAA-1", "iM.data_GGCAGTCAGTATGAAC-1", "iM.data_GTAGAAATCTTCGGTC-1", "iM.data_GTGTAACCACCGTCTT-1", "iM.data_CAGGGCTGTACCCGCA-1", "iM.data_TACGGTAAGCGAATGC-1", "iM.data_GAGACTTGTATCTCTT-1", "iM.data_ATTCTACTCAGCGGAA-1", "iM.data_AACACACCACAGTCGC-1", "iM.data_CTCCTTTAGTACAGAT-1", "iM.data_GTCCCATAGGATACGC-1", "iM.data_TAACACGTCCAAACCA-1", "iM.data_CATGGTAAGCTCTATG-1", "iM.data_ATGTCCCGTTTACGTG-1", "iM.data_GTTACAGTCGCCGTGA-1", "iM.data_TTACTGTTCTGTCTCG-1", "iM.data_GGAAGTGCATCGAACT-1", "iM.data_CAAGACTAGAGGTATT-1", "iM.data_TCTAACTGTTACCTGA-1", "iM.data_TACCCGTGTATCGGTT-1", "iM.data_AGTTAGCTCACTGATG-1", "iM.data_TCATTCAGTGTCATTG-1", "iM.data_GCCATGGCATGTTTGG-1", "iM.data_CACCGTTCACTTGTCC-1", "iM.data_AGAGAATAGAAGCCTG-1", "iM.data_GGGTGAAGTGCCGAAA-1", "iM.data_TTATTGCAGTGAGGTC-1", "iM.data_CCCAACTAGCTCTATG-1", "iM.data_CTATCCGTCTTTCGAT-1", "iM.data_TGTGAGTGTACCTTCC-1", "iM.data_CGGAACCGTGTTCGAT-1", "iM.data_GTAACCAGTTCTCGTC-1", "iM.data_GGATCTATCGGTCTAA-1", "iM.data_TTGCTGCGTGAGTAAT-1", "iM.data_GAAGTAATCGATTTCT-1", "iM.data_GTCATCCCACGCTGTG-1", "iM.data_ATTACTCTCGGATACT-1", "iM.data_CCACTTGCACGTACTA-1", "iM.data_AGCTACATCGACATAC-1", "iM.data_GGTAACTAGCCTGACC-1", "iM.data_GGGCTCAGTCTATGAC-1", "iM.data_CAGATACAGTTACGAA-1", "iM.data_GGATCTATCAAGTAAG-1", "iM.data_CTAACCCCATGGATCT-1", "iM.data_GGAGCAAGTAGAGTTA-1", "iM.data_AGCGCCAGTAGCACAG-1", "iM.data_CAGATTGCAAATAAGC-1", "iM.data_ATCCTATCATAGGAGC-1", "iM.data_TCTAACTGTTCTCTAT-1", "iM.data_TCATACTTCGAGAACG-1", "iM.data_TAATTCCAGCACCCAC-1", "iM.data_ACTCCCACATAGGTAA-1", "iM.data_CTTCTCTTCATTCCTA-1", "iM.data_GCCCAGATCGCATTAG-1", "iM.data_AGACCATCAACTTGCA-1", "iM.data_TCGCACTTCACCCTGT-1", "iM.data_TCTGTCGGTTTCTTAC-1", "iM.data_AGTTCGACAACGTTAC-1", "iM.data_CAGGGCTCACGTACTA-1", "iM.data_GTCCACTAGGCTTAGG-1", "iM.data_GGGCCATTCCCGTAAA-1", "iM.data_CATGGTATCTCGTTTA-1", "iM.data_TGGAACTAGGTACAAT-1", "iM.data_AACCTGACACTTGTGA-1", "iM.data_TCGCTTGGTGTTAACC-1", "iM.data_TGCACGGCAAGCGCAA-1", "iM.data_ATGGGAGGTAAGATAC-1", "iM.data_CGTCCATAGCCTCATA-1", "iM.data_ACGTCCTAGGTTAAAC-1", "iM.data_GGAACCCTCGCCTATC-1", "iM.data_GTAATGCAGAGCAAGA-1", "iM.data_CTACCTGCAGCCTATA-1", "iM.data_CTACTATTCGCTTACC-1", "iM.data_GTTGTAGAGGATGGCT-1", "iM.data_CAACGATTCGGATAAA-1", "iM.data_GGAGGATAGGCTAAAT-1", "iM.data_TTCAATCAGCAACAAT-1", "iM.data_CATCGGGTCTTTCTAG-1", "iM.data_AGACCCGCATGTCAGT-1", "iM.data_ATCATTCTCAACTTTC-1", "iM.data_GTTAGTGGTTACGTAC-1", "iM.data_TGATCAGAGTAAACAC-1", "iM.data_AGATAGACACAATCTG-1", "iM.data_GATCAGTCACATACTG-1", "iM.data_CTCATGCGTAGGCAAC-1", "iM.data_GGAATCTTCTGCGATA-1", "iM.data_CGGGCATGTCGCCACA-1", "iM.data_GGGTGTCGTTCTGACA-1", "iM.data_GCCAACGGTTTCTATC-1", "iM.data_CGTCCATAGGGCAACT-1", "iM.data_ACTTTGTGTTCGTTCC-1", "iM.data_CTCATGCCATTGTACG-1", "iM.data_CATCCACCACAAGCAG-1", "iM.data_CCACACTTCACACCGG-1", "iM.data_AGTTCGATCCCAAGCG-1", "iM.data_GACCTTCGTAACTTCG-1", "iM.data_AGTCAACAGTAGGAAG-1", "iM.data_AGACTCAAGGGTCACA-1", "iM.data_TGATGCACAGAACTTC-1", "iM.data_CATAGACGTTGGGCCT-1", "iM.data_CAGTTCCGTTACCCAA-1", "iM.data_CAGCGTGGTACGCTTA-1", "iM.data_AAGACTCCAAGCTACT-1", "iM.data_GGGCGTTGTCACGTGC-1", "iM.data_TCTCTGGCAAATACAG-1", "iM.data_CTGATCCGTAACGGTG-1", "iM.data_TGTTCTATCGCCCAGA-1", "iM.data_TTCGGTCAGCAGGCAT-1", "iM.data_AGGAGGTTCCTCATAT-1", "iM.data_TACGTCCCACGACCTG-1", "iM.data_CTTCTAATCCAGCACG-1", "iM.data_TATCAGGGTAGGTCAG-1", "iM.data_GACTGATCAGCTTTCC-1", "iM.data_TCAGTCCCAAGACCGA-1", "iM.data_CACCAAAAGGAGCAAA-1", "iM.data_TCCACCAGTCCGTTTC-1", "iM.data_TGAGGAGCATGAATCC-1", "iM.data_CCCTCTCTCAAGAGTA-1", "iM.data_TGAGGGACAGTAGGAC-1", "iM.data_TTACGTTTCTCCCTAG-1", "iM.data_CTCCTTTGTATCTTCT-1", "iM.data_GCAGGCTCACAGTCCG-1", "iM.data_GTAGCTAGTGAGATAT-1", "iM.data_ACCCAAACAGGAAGTC-1", "iM.data_TGCAGTATCCGGCAAC-1", "iM.data_CAATCGATCGATGGAG-1", "iM.data_GAATCACTCTGAGTCA-1", "iM.data_CCGGACACACGCGCTA-1", "iM.data_TTCGCTGTCCACGGAC-1", "iM.data_TGCCGAGCAGAATGTA-1", "iM.data_GCCATTCAGGGAGGTG-1", "iM.data_GCAGCTGAGACTCATC-1", "iM.data_CCTTTGGTCTCGCTCA-1", "iM.data_CCACGTTCAATTCACG-1", "iM.data_AAGGTAATCCCAATAG-1", "iM.data_TGACAGTAGCTATCCA-1", "iM.data_ATCAGGTTCCGGCAGT-1", "iM.data_GCAGCCATCTAGCCTC-1", "iM.data_TTGCCTGAGTGGATTA-1", "iM.data_TTTGGTTTCCTGGGTG-1", "iM.data_TCAATCTGTCGCACGT-1", "iM.data_AGTGCCGTCTTGCAAG-1", "iM.data_CCCTAACTCCGATCTC-1", "iM.data_CATGCTCTCTCACGAA-1", "iM.data_CCTTCAGTCAAAGGAT-1", "iM.data_AGGTTGTTCAGCGCGT-1", "iM.data_GACAGCCCAAAGCACG-1", "iM.data_ATTTCACGTTGCACGC-1", "iM.data_TCCTTCTTCCAACTGA-1", "iM.data_AATCACGCAAGCGATG-1", "iM.data_TCATTGTAGACGGTTG-1", "iM.data_TGTAAGCTCTCATTGT-1", "iM.data_TCCGTGTGTGCCTAAT-1", "iM.data_TATCGCCAGGAGATAG-1", "iM.data_TATCAGGGTGAGGATC-1", "iM.data_CGCAGGTAGAGCAGTC-1", "iM.data_TGCATGAAGGTTGGTG-1", "iM.data_GTGTTCCTCGGTAAGG-1", "iM.data_CAGATACTCAGTCTTT-1", "iM.data_TAGACTGAGCGCCCAT-1", "iM.data_TTCTAGTGTCAGTCCG-1", "iM.data_ATTCTACCATCATTGG-1", "iM.data_ATCGGATCAGCAGATG-1", "iM.data_AAAGGGCAGGGAGTTC-1", "iM.data_GAGTTTGAGGTTACAA-1", "iM.data_TTCCTCTTCGAGCCTG-1", "iM.data_TCATCATTCAGCATTG-1", "iM.data_ATGAGGGTCGCGTTTC-1", "iM.data_CACAGATGTAGCTGAG-1", "iM.data_TTTGACTAGCTACTAC-1", "iM.data_CCACGAGTCATCGGGC-1", "iM.data_GTTGAACCATGTTACG-1", "iM.data_AAACGAATCGACGATT-1", "iM.data_GTTACGACAGCTGTTA-1", "iM.data_TACCGAAGTGCAAGAC-1", "iM.data_GCCATTCTCCGTAGGC-1", "iM.data_CAGTTCCTCAGGAAGC-1", "iM.data_AGGATAAAGACTCATC-1", "iM.data_TCATCCGAGTTGGACG-1", "iM.data_CTTCGGTAGCCGGATA-1", "iM.data_GCACGGTTCATGAAAG-1", "iM.data_TAGCACATCGATAACC-1", "iM.data_ACCATTTTCCTTATCA-1", "iM.data_GACTCTCAGATTACCC-1", "iM.data_CTTTCAACAGCGGTCT-1", "iM.data_CCACGAGCAGCCTACG-1", "iM.data_ATTCTTGTCACCTCAC-1", "iM.data_GTGTTCCCACATTCTT-1", "iM.data_TTACAGGGTCCAGGTC-1", "iM.data_ATACCTTGTTCTCTAT-1", "iM.data_TTACTGTTCTAGTCAG-1", "iM.data_CATTCATGTTCGTGCG-1", "iM.data_TCTCTGGCAAGTCATC-1", "iM.data_GAGAAATAGGTGCAGT-1", "iM.data_CAGGGCTTCTCCGAAA-1", "iM.data_CTAACTTGTGTGATGG-1", "iM.data_CGATCGGGTGATGTAA-1", "iM.data_GGGTATTAGTAAATGC-1", "iM.data_CGTTGGGAGGCCTAGA-1", "iM.data_TGTTCTAGTACTAACC-1", "iM.data_GGATCTACAGTCTCTC-1", "iM.data_TGATGGTGTTGATCGT-1", "iM.data_AGCCAGCCATGACTAC-1", "iM.data_CACAGATAGCACGTCC-1", "iM.data_GTGCACGGTGGCCTCA-1", "iM.data_GATGACTAGCCAAGGT-1", "iM.data_GAGTTTGCAATAGGGC-1", "iM.data_GATTCTTGTAATGCGG-1", "iM.data_GTGAGCCCACCCAATA-1", "iM.data_GACGCTGAGAGCCGTA-1", "iM.data_ATTGTTCCAGAATTCC-1", "iM.data_GCATTAGTCATTTGCT-1", "iM.data_TATATCCCAGCCTATA-1", "iM.data_CCTAAGAAGAGAATCT-1", "iM.data_CATTTCATCACCGGGT-1", "iM.data_CAACAGTAGCGATGGT-1", "iM.data_CATAGACAGGGTAGCT-1", "iM.data_ATTCACTTCGCCCAGA-1", "iM.data_TGGCGTGGTAGGGAGG-1", "iM.data_TTCCACGCAACGAGGT-1", "iM.data_AGTACTGTCCCATACC-1", "iM.data_ATGCGATCACTCCTGT-1", "iM.data_TACTTGTAGACCTTTG-1", "iM.data_CAGGTATAGAGTCACG-1", "iM.data_TTTACCAAGGTACAAT-1", "iM.data_TCACTCGCAAATTAGG-1", "iM.data_CTGTAGAGTATAGGGC-1", "iM.data_GAGTCTACACAAATAG-1", "iM.data_GGTTCTCTCAGACTGT-1", "iM.data_GCCTGTTCAGCTACAT-1", "iM.data_AAGCCATTCGCTCTAC-1", "iM.data_CCTTCAGAGAATAACC-1", "iM.data_CTGCCTACAGGCTATT-1", "iM.data_TCACTCGTCCCAGGAC-1", "iM.data_GGGTATTAGGCGAACT-1", "iM.data_TGGAGAGGTTCCTAGA-1", "iM.data_ACCTGAAGTCCAAATC-1", "iM.data_AGTACTGTCCACCCTA-1", "iM.data_TCCCAGTAGAGATGCC-1", "iM.data_TGAACGTGTTAAGGGC-1", "iM.data_GGTAGAGCAGTATACC-1", "iM.data_ATCCACCCAAGGGCAT-1", "iM.data_GCAACCGGTGGGATTG-1", "iM.data_ACTCCCAAGTATGGAT-1", "iM.data_ACATCGAGTGTTAGCT-1", "iM.data_ATCTTCAAGTCATACC-1", "iM.data_CGGGCATAGACCATTC-1", "iM.data_TAAGTCGAGTCGTTAC-1", "iM.data_AGCCACGGTCTAATCG-1", "iM.data_GTCATGAGTATGGGAC-1", "iM.data_CTATAGGCACAGCATT-1", "iM.data_AGGTCTAGTCTACATG-1", "iM.data_CTTTCGGGTCGGTGAA-1", "iM.data_CTGCAGGTCAACGAGG-1", "iM.data_GCGTGCATCTACGCGG-1", "iM.data_CTGTGGGGTATGCTTG-1", "iM.data_CATGCTCCAGCTGCCA-1", "iM.data_GATCAGTCAACTCGTA-1", "iM.data_TGCAGATAGTTATGGA-1", "iM.data_AACAACCCAATGAAAC-1", "iM.data_GGGAAGTGTGCTCGTG-1", "iM.data_CTACATTGTCCTCAGG-1", "iM.data_TCATGGACACGCGCAT-1", "iM.data_AGTGCCGTCTTTGCGC-1", "iM.data_ACTTAGGGTTCTCGCT-1", "iM.data_TCTACATGTGCACAAG-1", "iM.data_CTGCAGGAGGGTGGGA-1", "iM.data_GTTACCCTCCCAACTC-1", "iM.data_TTCATTGTCGTCCTCA-1", "iM.data_CCTTCAGGTAGTTCCA-1", "iM.data_GAGGCCTGTCTGTCAA-1", "iM.data_AGGTAGGTCCCGAACG-1", "iM.data_AGTGATCGTATTAAGG-1", "iM.data_CGGAATTTCACACCGG-1", "iM.data_GCCATTCTCACCGCTT-1", "iM.data_CTCTCAGCACTGATTG-1", "iM.data_AGTAACCTCTCTCGAC-1", "iM.data_TCGCTTGTCTCGGGAC-1", "iM.data_TATTTCGCAGATACCT-1", "iM.data_AGAGAGCAGCCTCAAT-1", "iM.data_CTCGAGGCAATTGCTG-1", "iM.data_ACAGGGAGTGAATGAT-1", "iM.data_GTTACCCGTGACACAG-1", "iM.data_TCCTGCACAATGACCT-1", "iM.data_CCGCAAGGTATCGGTT-1", "iM.data_ATCGGATCAGGTCCCA-1", "iM.data_TGCTGAAAGGATCACG-1", "iM.data_TACACCCCACGGTAGA-1", "iM.data_ATCGATGAGCTGGCCT-1", "iM.data_CACAGGCCACCGTGGT-1", "iM.data_TCACACCGTCTGCGCA-1", "iM.data_GTTATGGGTAAGTTGA-1", "iM.data_TTCATTGAGTCACTCA-1", "iM.data_CATTCTACAGGCATTT-1", "iM.data_AAGCGTTCAGCGTACC-1", "iM.data_ACGTCCTTCCACGTGG-1", "iM.data_TATGTTCAGACATAGT-1", "iM.data_TTTACCATCTAACACG-1", "iM.data_AAGATAGTCTTCCGTG-1", "iM.data_TCTTTGAGTTGCAACT-1", "iM.data_ATTCGTTAGTAGCATA-1", "iM.data_CTCCGATTCGCCTCTA-1", "iM.data_GACCCAGAGAGATGCC-1", "iM.data_AGCTCAAGTAAGACCG-1", "iM.data_ATTCACTGTCACTCAA-1", "iM.data_CTCAACCTCCAATCCC-1", "iM.data_TCTACATGTCCTTAAG-1", "iM.data_GACCCAGGTCATCTAG-1", "iM.data_ACGGTCGCAAATAGCA-1", "iM.data_AGACCCGGTACGACTT-1", "iM.data_ATGAGGGGTCCATCTC-1", "iM.data_CATTCCGCACCAGTTA-1", "iM.data_CTTCTCTTCTACCACC-1", "iM.data_GATGAGGTCCCAACTC-1", "iM.data_AAGAACACACTAGTAC-1", "iM.data_CGATGGCGTACAACGG-1", "iM.data_CCCTTAGGTTTGTTGG-1", "iM.data_CACTGGGAGGCATCTT-1", "iM.data_TAGGGTTAGTGTAGAT-1", "iM.data_GGAACCCTCACATCAG-1", "iM.data_TAGGTTGCAGCGTTGC-1", "iM.data_AATCGACCACGGATCC-1", "iM.data_AGGGTTTAGGCGACAT-1", "iM.data_CACCGTTCAACGACAG-1", "iM.data_CTCCGATCAAACACGG-1", "iM.data_GCATGATAGCTGAGCA-1", "iM.data_GAACGTTTCTGCACCT-1", "iM.data_TTTACGTGTTGCCTAA-1", "iM.data_CATGAGTTCATTGTTC-1", "iM.data_TAGTGCAGTTCGTACA-1", "iM.data_CCTCAACCACAGCATT-1", "iM.data_CTAACTTTCAAGATAG-1", "iM.data_TACATTCAGCTTGTTG-1", "iM.data_TTGCCTGCAACTTGGT-1", "iM.data_AGCTTCCGTCTCACGG-1", "iM.data_GACCAATCACTTACAG-1", "iM.data_AGTTAGCCAATACCTG-1", "iM.data_GGGTTTATCTAAGCGT-1", "iM.data_GAAGCGAGTCGTCATA-1", "iM.data_ATCCTATCACAGTCGC-1", "iM.data_ATGGGAGGTCTACACA-1", "iM.data_CAGATCAGTGGAACCA-1", "iM.data_GAGTCATTCGTCTCAC-1", "iM.data_CTGTGGGCAAATGATG-1", "iM.data_AACGGGAAGGAGGTTC-1", "iM.data_GATGAGGGTTACGATC-1", "iM.data_TAAGCCATCTCTCCGA-1", "iM.data_AGGCTGCAGAGGGCGA-1", "iM.data_AGCCAGCAGACAGCGT-1", "iM.data_TACTGCCGTTCAAAGA-1", "iM.data_TTGTGTTCATGGAATA-1", "iM.data_ATCGGATTCCATTTAC-1", "iM.data_CAAGACTGTAACAGGC-1", "iM.data_TCATGCCTCGGCATCG-1", "iM.data_TTTGACTCAAAGGGTC-1", "iM.data_ATACCGATCGTCAACA-1", "iM.data_TATCTGTTCACCTTAT-1", "iM.data_ATTCACTCAGTTGGTT-1", "iM.data_TGTCAGAGTCCTGAAT-1", "iM.data_TGGCGTGAGAAACTAC-1", "iM.data_GACTATGAGACTCCGC-1", "iM.data_CCCTCAACAGCACGAA-1", "iM.data_TCGAACACACAAATAG-1", "iM.data_CTCAGAAAGTGGTTCT-1", "iM.data_CTCATGCGTCTTCGAA-1", "iM.data_TGGAGAGAGAGCCGTA-1", "iM.data_TATCTGTGTATGATCC-1", "iM.data_TGACAGTTCTTAAGGC-1", "iM.data_CTCCTTTTCCGCTGTT-1", "iM.data_CCTCTAGTCCTTATCA-1", "iM.data_GTTGCTCTCGAGTTGT-1", "iM.data_TGAATGCTCTCTCAAT-1", "iM.data_ACTCTCGAGTAAGAGG-1", "iM.data_CGAAGGAAGTGGCAGT-1", "iM.data_GTTGAACCAAAGGCGT-1", "iM.data_CCCAACTCATGAAGCG-1", "iM.data_CATCCACCATAACAGA-1", "iM.data_TGACAGTTCGCCTATC-1", "iM.data_GACTATGCACACACGC-1", "iM.data_GCCATTCTCACCGACG-1", "iM.data_GAGTTTGTCCATAAGC-1", "iM.data_AGCCAATCATCTCATT-1", "iM.data_ATTCGTTCAAGATCCT-1", "iM.data_GAAATGACAAGCCCAC-1", "iM.data_GACCAATCAATAGTGA-1", "iM.data_GCGTGCAAGCGCGTTC-1", "iM.data_CCTCTAGGTACCATAC-1", "iM.data_AAGACAAAGCAAATGT-1", "iM.data_AGAAGTATCTGGAAGG-1", "iM.data_CCATCACCACATGACT-1", "iM.data_TCATGCCTCATCTATC-1", "iM.data_GTTACGATCACTGTCC-1", "iM.data_CAGCAATAGACCTCCG-1", "iM.data_GGAGATGAGCACGTCC-1", "iM.data_TTCGGTCCAGGACATG-1", "iM.data_CCTAACCGTAGGCAAC-1", "iM.data_CTAGACAGTCTACGAT-1", "iM.data_GGGATGAGTACATACC-1", "iM.data_TGCAGGCCACAGTATC-1", "iM.data_AGTAACCAGTAGACAT-1", "iM.data_ATACTTCAGTCTGGTT-1", "iM.data_GTTATGGCACCGTCTT-1", "iM.data_ACCGTTCTCAGAGTTC-1", "iM.data_CAGCAGCCATCCGATA-1", "iM.data_TCCAGAAGTGACGTCC-1", "iM.data_CCGGTGAGTGCGTTTA-1", "iM.data_GTTGCGGCAATTTCGG-1", "iM.data_TCTGGCTAGCCTCTTC-1", "iM.data_AGGATAACAAGGGCAT-1", "iM.data_ATTTCACTCCCAGGCA-1", "iM.data_TTGAACGCAAACCGGA-1", "iM.data_TCTTTGAGTCCAGTTA-1", "iM.data_GGAATGGCACTTGAAC-1", "iM.data_ATTGGGTGTACAGGTG-1", "iM.data_TACGCTCCAACCCTAA-1", "iM.data_ATGAAAGGTGCCCAGT-1", "iM.data_ACTATTCCACCTGCTT-1", "iM.data_CCACACTCATGAGAAT-1", "iM.data_CTCCACATCTATCGCC-1", "iM.data_CATTCATCATGGGAAC-1", "iM.data_GTCTACCAGCACGTCC-1", "iM.data_ATTGGGTCATAGGTTC-1", "iM.data_TCAGTGATCAGTGGGA-1", "iM.data_GGGTATTAGTGAACAT-1", "iM.data_CAGCCAGAGATGATTG-1", "iM.data_TCACGGGGTATTTCGG-1", "iM.data_GTGGGAACAATTCGTG-1", "iM.data_GAAGCCCTCTGCTAGA-1", "iM.data_ATCACAGAGATTAGTG-1", "iM.data_TCACGGGGTGGTTTAC-1", "iM.data_GAGTTACTCTAGTGTG-1", "iM.data_CAGCACGTCGGCCCAA-1", "iM.data_ACGTAACCACAAGTTC-1", "iM.data_TAATTCCCAAGGTCGA-1", "iM.data_TCCTTTCAGACCACGA-1", "iM.data_TAGGGTTCAAACACGG-1", "iM.data_TGCTGAATCAATCCGA-1", "iM.data_ATTCCCGTCGAACCAT-1", "iM.data_TGGAGAGCACGAGGAT-1", "iM.data_AGATAGACACCGAATT-1", "iM.data_GCATCTCGTCTCGGAC-1", "iM.data_CGTAGTAGTGTAGTGG-1", "iM.data_TAAGCGTGTCTCCCTA-1", "iM.data_TTACAGGTCCGCACGA-1", "iM.data_CCGTTCAAGTTGTAAG-1", "iM.data_AATGACCCAATCTCTT-1", "iM.data_AGGGCCTCATACAGCT-1", "iM.data_CACAACAAGCGACTAG-1", "iM.data_GCGAGAAAGTAAGGGA-1", "iM.data_ATGAGTCCACTCACTC-1", "iM.data_TATTCCAAGGGACACT-1", "iM.data_CTCCGATTCACATCAG-1", "iM.data_ACCCTTGTCGTAACAC-1", "iM.data_GAGGCCTCACCTGAAT-1", "iM.data_GTGAGCCAGTCCCTAA-1", "iM.data_TTACGCCTCTTGGTCC-1", "iM.data_GCCAACGGTGAATAAC-1", "iM.data_GTTAGACTCTCCCTAG-1", "iM.data_GACTCTCAGACTTGTC-1", "iM.data_AGAACCTTCCCATTTA-1", "iM.data_CATTGAGTCCTTCTTC-1", "iM.data_GGAGAACTCCCTCTCC-1", "iM.data_CGAGTGCGTCCACTCT-1", "iM.data_ATCGGCGGTACGGCAA-1", "iM.data_CCACCATTCTTTACAC-1", "iM.data_CTCCCTCTCGCTTTAT-1", "iM.data_TTTGATCCATTCTGTT-1", "iM.data_CCTTCAGAGAACAGGA-1", "iM.data_GCGGAAAAGTATCTGC-1", "iM.data_GGAGAACTCCGTGGCA-1", "iM.data_CATCGCTTCGCTGTCT-1", "iM.data_GAAGCCCTCCTCACTG-1", "iM.data_CGGAGAAGTACTCGTA-1", "iM.data_CATTCCGCACGGTCTG-1", "iM.data_TTTACTGTCGTAGTCA-1", "iM.data_GCACTAACACCATAAC-1", "iM.data_GGTGTCGCAACCGTGC-1", "iM.data_GTTATGGTCACTAGCA-1", "iM.data_CGAGAAGCACGACTAT-1", "iM.data_TTGAGTGCATACCACA-1", "iM.data_TCAGGGCGTATCAAGA-1", "iM.data_GTCATCCCAGTGACCC-1", "iM.data_GTGCAGCTCCCATTCG-1", "iM.data_TCCTCGAAGGGAGGTG-1", "iM.data_AGCCAGCCACATGTTG-1", "iM.data_AGCTTCCAGGTCTGGA-1", "iM.data_TGTACAGAGCACTAAA-1", "iM.data_ATTCCTACAGGCACTC-1", "iM.data_ACCCAAACATGACGAG-1", "iM.data_AAAGTCCAGTGTCATC-1", "iM.data_ATCGCCTTCACGGGCT-1", "iM.data_GTAGTACGTACGGTTT-1", "iM.data_ATTGGGTCAAAGGGCT-1", "iM.data_GTAGATCAGGTCTGGA-1", "iM.data_GGGTGAACACAAAGTA-1", "iM.data_GTCTAGATCAAAGCCT-1", "iM.data_GGGTGTCAGCTGAGCA-1", "iM.data_TCCATGCCATGTGCTA-1", "iM.data_CATTTCAGTACGACTT-1", "iM.data_TCCTCGAAGTTACGAA-1", "iM.data_TTCCACGTCCCTATTA-1", "iM.data_TGCAGTAGTCGAACGA-1", "iM.data_TGATGCACAGTAGTTC-1", "iM.data_TCGGGCAGTCGGCCTA-1", "iM.data_TCTCACGAGAGTAACT-1", "iM.data_CCTCAGTGTTTACTTC-1", "iM.data_TACATTCGTGAACGGT-1", "iM.data_TGGGCTGCAGTTCTAG-1", "iM.data_CCACAAACAACCCGCA-1", "iM.data_CTCTCAGGTCTCACAA-1", "iM.data_AGATCCACAAGTGGAC-1", "iM.data_TGTTGAGCATCTATCT-1", "iM.data_ACCACAACATGACACT-1", "iM.data_AGTGACTTCTACTATC-1", "iM.data_TTGTGTTTCTAGTCAG-1", "iM.data_TCAGCCTAGCTCTTCC-1", "iM.data_TCGTAGACAGCCGTTG-1", "iM.data_GACCCTTCAATTGAGA-1", "iM.data_TCAATTCTCTTTCGAT-1", "iM.data_GTGTAACTCACCATCC-1", "iM.data_ACCCAAACAAATGAAC-1", "iM.data_TCATTCACAACACAGG-1", "iM.data_TCACATTTCCTACAAG-1", "iM.data_ATCCGTCCAAGTTTGC-1", "iM.data_CTGAATGCAGACTGCC-1", "iM.data_CTCAGTCTCCCGAACG-1", "iM.data_CGCATAAGTTCGGCCA-1", "iM.data_GTAACCATCTCCGTGT-1", "iM.data_AAGACTCTCGCTACAA-1", "iM.data_AAGAACAGTCCAAATC-1", "iM.data_TATTCCATCTGGCCTT-1", "iM.data_TTCCGTGGTAACTTCG-1", "iM.data_CGAGTTATCAAGCTTG-1", "iM.data_ACCACAAGTAACACGG-1", "iM.data_TAAGCGTTCTTCGACC-1", "iM.data_GGAATCTTCTAGACAC-1", "iM.data_GTCATGACAACTGGTT-1", "iM.data_AGGAAATGTGGAACAC-1", "iM.data_CGGAGAACATGAAGCG-1", "iM.data_AAGTGAAGTCTAGGTT-1", "iM.data_GAAGGACCAATACGAA-1", "iM.data_GAAGGGTTCCGGTAAT-1", "iM.data_GCACATAAGCTGGCTC-1", "iM.data_GACGCTGCAGAGTCAG-1", "iM.data_TAGGAGGCACCTATCC-1", "iM.data_TCGCACTGTCACGTGC-1", "iM.data_CATCCACCAAATTGGA-1", "iM.data_TTTGTTGGTAAGCTCT-1", "iM.data_CTTCCGACAAATGAGT-1", "iM.data_CGATCGGCATGTACGT-1", "iM.data_ACACAGTGTAGGGTAC-1", "iM.data_ACCAACAAGCCGATCC-1", "iM.data_CAACGATAGTTGTCAC-1", "iM.data_AGGACTTAGACGACTG-1", "iM.data_ATGGTTGGTAACATAG-1", "iM.data_CTATCCGCAAAGCGTG-1", "iM.data_GTGTGGCTCCCAGCGA-1", "iM.data_CAATCGAGTATTTCGG-1", "iM.data_GCAGGCTTCTTTGCAT-1", "iM.data_GCAGGCTTCATTCCTA-1", "iM.data_GAGGGTACACGCGCTA-1", "iM.data_TACGCTCAGGCATGGT-1", "iM.data_GCCAGGTAGAGGTTAT-1", "iM.data_CAGCACGCATAATGCC-1", "iM.data_CAGAGCCAGATGATTG-1", "iM.data_CCTCCAAGTGTATTGC-1", "iM.data_AGATGAATCGAACGGA-1", "iM.data_CCACACTTCTGACCCT-1", "iM.data_AATGCCACATGGCCCA-1", "iM.data_AGCCAGCCAATGACCT-1", "iM.data_CTAACCCCAGAGTCTT-1", "iM.data_CATTCCGTCGGCTTGG-1", "iM.data_AGTACCATCGCTGACG-1", "iM.data_AAGTGAAGTCAAGGCA-1", "iM.data_ATGTCTTGTTCTCACC-1", "iM.data_ACCATTTTCCGTAGTA-1", "iM.data_CAAAGAAGTAGAGACC-1", "iM.data_ACTCCCACACGAAGAC-1", "iM.data_CATTCTAAGAGTCCGA-1", "iM.data_ATCGATGCATTCATCT-1", "iM.data_ATGAGTCCACATATCG-1", "iM.data_CACCGTTAGGACTATA-1", "iM.data_TCGATTTGTGCGAACA-1", "iM.data_ACATCCCTCATCCTGC-1", "iM.data_TTCAGGAGTTGTCATG-1", "iM.data_AGGGTGAGTGGTTCTA-1", "iM.data_CCCTGATAGCCTGGAA-1", "iM.data_AAACGCTTCATGTCTT-1", "iM.data_CCACGTTGTGTGTCGC-1", "iM.data_AACGTCAGTTGCTCGG-1", "iM.data_TTTGATCGTCCTACGG-1", "iM.data_GGGTCACAGCAGGCAT-1", "iM.data_ATTCCATCAGCCTACG-1", "iM.data_TACACCCTCAAGGAGC-1", "iM.data_CCGATGGTCACGTCCT-1", "iM.data_GAAATGAAGCCAAGCA-1", "iM.data_GAAACCTTCCGCCTAT-1", "iM.data_TGAGTCAGTGACTAAA-1", "iM.data_TCAATCTAGTGCACAG-1", "iM.data_CCTACGTTCACTACGA-1", "iM.data_GCCGATGAGGTTCCAT-1", "iM.data_TCACTCGGTCACAGAG-1", "iM.data_TGCGATACAGAACATA-1", "iM.data_CCTCCAAAGTTCTCTT-1", "iM.data_TCCATCGCATAAGCAA-1", "iM.data_TAATTCCGTTGCTCCT-1", "iM.data_AGCCAATGTAAGATTG-1", "iM.data_CGAAGTTTCAGTCATG-1", "iM.data_CTGCATCAGCTGACCC-1", "iM.data_GACTCAACATGTGGCC-1", "iM.data_AATTTCCTCTCACTCG-1", "iM.data_TGTTTGTAGTACAGAT-1", "iM.data_GAGTTGTCAGGGAATC-1", "iM.data_ATGGGTTCACCTCTAC-1", "iM.data_GTAGGTTAGTGGTGGT-1", "iM.data_AACAAAGTCCGGACGT-1", "iM.data_GAGTTACAGAAACCAT-1", "iM.data_TGGGAGATCACCTGGG-1", "iM.data_GTGTTCCGTGCAACGA-1", "iM.data_CATTCTATCGACCACG-1", "iM.data_TTTGGAGCAGCACAAG-1", "iM.data_ATCTCTACAGTTGCGC-1", "iM.data_AGCGCCAGTCCCGTGA-1", "iM.data_GAATCACGTATCCCTC-1", "iM.data_CTACGGGGTTTGTTGG-1", "iM.data_CCACCATAGCGGACAT-1", "iM.data_GATGACTCAAGTCGTT-1", "iM.data_TCCCACACACGCGTCA-1", "iM.data_TGCCGAGGTTGCTGAT-1", "iM.data_TCGATTTAGCTAGTTC-1", "iM.data_CCGGACACATCAGCGC-1", "iM.data_AGACCATCATTGAAGA-1", "iM.data_TACACCCTCTGGGATT-1", "iM.data_TTGGATGCAGCGACAA-1", "iM.data_AGGGTGAAGTAGCAAT-1", "iM.data_CGGTCAGGTTGGTACT-1", "iM.data_GTAATGCTCGGCACTG-1", "iM.data_CGACAGCCACTCCGGA-1", "iM.data_CCACGAGAGTTCCAGT-1", "iM.data_GAGAGGTTCCAAGCCG-1", "iM.data_CTGAGGCAGTCTCTGA-1", "iM.data_ACCTGAAGTAGTGGCA-1", "iM.data_TCCGATCCAGCAGAAC-1", "iM.data_TCAGTCCAGCCTCCAG-1", "iM.data_GATGAGGCAACTGAAA-1", "iM.data_GATGAGGCAAGCGGAT-1", "iM.data_CTGTAGACACGTGTGC-1", "iM.data_TCATCCGGTAGTGATA-1", "iM.data_ATCGTGATCGTCTAAG-1", "iM.data_GCTACAATCCTGCTAC-1", "iM.data_GCTACCTAGTATGGAT-1", "iM.data_ATTCAGGCACCAGCCA-1", "iM.data_ACCCTCATCTTGTGCC-1", "iM.data_ACCACAAGTAACGTTC-1", "iM.data_GGGCTACAGATGGCAC-1", "iM.data_GTCATGACAACCGATT-1", "iM.data_GGTAATCTCGATACGT-1", "iM.data_CAGCACGCAACCGATT-1", "iM.data_AGTAGTCAGAGCAACC-1", "iM.data_ATCCCTGTCGGTCGAC-1", "iM.data_GGGAGATTCTTACCGC-1", "iM.data_TGTAGACGTGACCTGC-1", "iM.data_AATAGAGCACCAATTG-1", "iM.data_CTCCCAAGTCATTGCA-1", "iM.data_ATTACCTAGCATGAAT-1", "iM.data_AGCGTATTCGTGTTCC-1", "iM.data_GTAATCGGTACTGAGG-1", "iM.data_TTCCTAACAACCGATT-1", "iM.data_TGCATCCTCCCTAGGG-1", "iM.data_TTGCCTGAGATGAACT-1", "iM.data_TGGTACAGTCTACATG-1", "iM.data_CCTACGTCATCAGTGT-1", "iM.data_CTTGATTTCGACATAC-1", "iM.data_GGGTCTGAGTAAACAC-1", "iM.data_GCTACCTAGTGCAAAT-1", "iM.data_CGTAGTATCATGCAGT-1", "iM.data_AGGTCATCACTCCACT-1", "iM.data_CAAGAGGTCAAGGACG-1", "iM.data_CATACCCTCTATTCGT-1", "iM.data_TTGGGTAAGGCATCTT-1", "iM.data_GGGTATTAGAGCATCG-1", "iM.data_CTAGGTAAGCTCCACG-1", "iM.data_TATCTGTGTTAGGCTT-1", "iM.data_GATAGCTCACAAATCC-1", "iM.data_AATGACCCAGAGTGTG-1", "iM.data_CCTACGTGTTGTCCCT-1", "iM.data_CAATACGCATTGAAAG-1", "iM.data_TGGCGTGTCTCGTGGG-1", "iM.data_ATAGACCCAGTTTCAG-1", "iM.data_ACCTACCTCTTACGTT-1", "iM.data_TCTACCGTCGCTAATG-1", "iM.data_GAATCACTCTTTCTAG-1", "iM.data_AGACTCAGTTGCCTAA-1", "iM.data_CATCCGTAGGGATCTG-1", "iM.data_TAACGACCATTGGGAG-1", "iM.data_GGGACAAGTCCCAAAT-1", "iM.data_GTAGAGGAGTATGGAT-1", "iM.data_CACAGGCCAGGTCTCG-1", "iM.data_AGTTCGAGTGAATAAC-1", "iM.data_CTCCGATCATTCTTCA-1", "iM.data_TCTCTGGCACAATGAA-1", "iM.data_CCTTCAGGTAGTCTTG-1", "iM.data_TGGTACAAGCGGACAT-1", "iM.data_AGGGTCCGTGTTGCCG-1", "iM.data_TTCCGTGGTGAGCTCC-1", "iM.data_AAACGCTGTGACAGGT-1", "iM.data_ACGTCCTCACTTCCTG-1", "iM.data_GCAACCGTCGGAACTT-1", "iM.data_TATTCCACACACCTTC-1", "iM.data_GCTGGGTTCCCATTCG-1", "iM.data_ACCACAAGTACCACGC-1", "iM.data_CTAACCCGTCTCCCTA-1", "iM.data_ATCGCCTTCGAACACT-1", "iM.data_ATGCGATTCGAGGCAA-1", "iM.data_CGAGTGCTCTTGGTCC-1", "iM.data_TGTACAGAGAGAGGGC-1", "iM.data_CCATAAGTCTTTCTAG-1", "iM.data_TACACCCCAGAGTAAT-1", "iM.data_CTATCTAAGCGGACAT-1", "iM.data_GGGTCTGCAACGGTAG-1", "iM.data_TCATCATCACTGAGGA-1", "iM.data_CCTGTTGAGGGCAGTT-1", "iM.data_ATCGCCTGTGTCCATA-1", "iM.data_AAAGGGCCAACGCCCA-1", "iM.data_AGCCACGAGTCAACAA-1", "iM.data_GCTCAAAAGGTAAGTT-1", "iM.data_CTCAGTCAGGACTAAT-1", "iM.data_CTCAGAACAAGCGAGT-1", "iM.data_AGGCTGCAGGCATTTC-1", "iM.data_GTGTTCCCATCACAGT-1", "iM.data_TCATGGATCGACCATA-1", "iM.data_CATTGAGCATGGCCAC-1", "iM.data_CACGAATCATTCACAG-1", "iM.data_TGTCAGAAGTCTTGGT-1", "iM.data_CCACGAGAGGCACTAG-1", "iM.data_AGATCCAGTACTGTTG-1", "iM.data_TTCCGTGTCCATTGGA-1", "iM.data_ACCTGTCTCGTGCACG-1", "iM.data_AGAGAATCAGTTCACA-1", "iM.data_ATGAGTCCACGACAAG-1", "iM.data_TCAAGTGGTCAACGCC-1", "iM.data_TGCGATACAGACACAG-1", "iM.data_CACTAAGAGAAGTATC-1", "iM.data_CGAGAAGTCTTTCTAG-1", "iM.data_ATCGTCCCAGCACACC-1", "iM.data_GACGCTGCAGGGAATC-1", "iM.data_TGTTCCGGTACGATTC-1", "iM.data_TGGTACATCACTCGAA-1", "iM.data_TAGACCATCACACCGG-1", "iM.data_TCATATCGTATCCCAA-1", "iM.data_CTTCAATTCGAACGGA-1", "iM.data_TCCATGCTCGACATCA-1", "iM.data_GGCTGTGTCACTTTGT-1", "iM.data_AAAGTCCTCGTAATGC-1", "iM.data_CCACACTAGCAACAGC-1", "iM.data_CAGTGCGCATATTCGG-1", "iM.data_AGACCCGTCCTACACC-1", "iM.data_ATTCGTTTCTCACCCA-1", "iM.data_GCAGTTAGTTCCGCGA-1", "iM.data_CCACCATGTCAAGTTC-1", "iM.data_CATAGACAGACGGTCA-1", "iM.data_AGCCACGAGAGGGTCT-1", "iM.data_GCCCAGAAGCCATTTG-1", "iM.data_CAATTTCGTTGCGAAG-1", "iM.data_CGTTAGATCGCCTTGT-1", "iM.data_TTGGGCGGTCTGTAAC-1", "iM.data_GAGTTACGTCTCTCTG-1", "iM.data_TATACCTCAACATCGT-1", "iM.data_GAACACTGTGGAGAAA-1", "iM.data_TCTCCGAAGCCTATTG-1", "iM.data_TATGTTCAGGGTTGCA-1", "iM.data_CACTGAAGTACGTGAG-1", "iM.data_TCAGTGACAGAGGTTG-1", "iM.data_GAGAAATTCGTTCATT-1", "iM.data_TCTCACGTCGGAATGG-1", "iM.data_TTTACGTCAGACGCTC-1", "iM.data_TGACCCTCAGACACAG-1", "iM.data_TATTTCGGTTTACCAG-1", "iM.data_TCTGCCATCAGACTGT-1", "iM.data_ATAGGCTTCATTCGGA-1", "iM.data_TCCTCTTCAGGTCCCA-1", "iM.data_GTGCTGGTCGACGTCG-1", "iM.data_TCAATCTTCGCTGCGA-1", "iM.data_CATTCCGTCGCGTGCA-1", "iM.data_GGGTTATTCAAGCCAT-1", "iM.data_ACCAACAGTGAGCGAT-1", "iM.data_ACATCCCGTGGATCAG-1", "iM.data_TGAGTCAGTCTTCATT-1", "iM.data_TTCGATTAGCGTACAG-1", "iM.data_AATTCCTCAGAGTGAC-1", "iM.data_GGAACCCCAGAGTTCT-1", "iM.data_TCAGTCCTCGTGAGAG-1", "iM.data_CCTTCAGGTCACGCTG-1", "iM.data_CTAGGTAAGACATAAC-1", "iM.data_TGTTCCGCACAGACGA-1", "iM.data_GATCGTAGTCCACGCA-1", "iM.data_CATACTTGTCGCATGC-1", "iM.data_CAACGATTCCGTGGGT-1", "iM.data_GCCCAGAAGCTCGGCT-1", "iM.data_CCCGAAGCAGTTGCGC-1", "iM.data_AAAGTGATCTAGTGAC-1", "iM.data_AGTTCGAGTAATTGGA-1", "iM.data_CATACCCAGAGAACCC-1", "iM.data_AGACAAACAGACAAAT-1", "iM.data_GTTATGGTCTGGACTA-1", "iM.data_ACACCAAGTCCGCAGT-1", "iM.data_TTACCATGTGTAACGG-1", "iM.data_ACACAGTCATTCTCTA-1", "iM.data_TCCTCGACACTGGCGT-1", "iM.data_GGGAAGTGTTCCAGGC-1", "iM.data_GTTGCGGGTCGAAACG-1", "iM.data_TCGAAGTAGTCAACAA-1", "iM.data_TGAGGGATCACTACTT-1", "iM.data_CAGAGCCAGACTCCGC-1", "iM.data_ATGTCTTTCTCGCTCA-1", "iM.data_ACATGCACACTCCACT-1", "iM.data_CCTGTTGTCAAGATAG-1", "iM.data_ATAGGCTTCAATCCGA-1", "iM.data_AGCCAATTCTCCAATT-1", "iM.data_CGGAATTCACATGACT-1", "iM.data_TGGATGTCAGGTTCGC-1", "iM.data_CAATGACGTTGTGTTG-1", "iM.data_GTAAGTCGTCGACTTA-1", "iM.data_CGATCGGGTCACCACG-1", "iM.data_CCATCACTCGATGCAT-1", "iM.data_CGAGAAGAGCAGCCTC-1", "iM.data_AGCTCAAGTAGTCTGT-1", "iM.data_TTGGGATTCCCTCGAT-1", "iM.data_GGGCCATTCGATCCAA-1", "iM.data_GGGACAACACAGTATC-1", "iM.data_CGGAACCTCCACGGAC-1", "iM.data_AGTCTCCTCCTCAGAA-1", "iM.data_GCAACATGTAGGAAAG-1", "iM.data_TTCCTAAGTCTTCATT-1", "iM.data_TCCTAATCAGCAGTTT-1", "iM.data_TCAATTCGTCCTTGTC-1", "iM.data_ACCACAACAGCTGAGA-1", "iM.data_AGGAGGTGTATGAGAT-1", "iM.data_GTAGGTTCAACCCTCT-1", "iM.data_GGTAGAGAGTACGTCT-1", "iM.data_CAGCAATTCAACTTTC-1", "iM.data_GGGTTTAGTGAGGCAT-1", "iM.data_TACTTACCACAGAGCA-1", "iM.data_TATCGCCAGAAGTATC-1", "iM.data_GACCGTGAGGGACAGG-1", "iM.data_CCTTGTGCAGTGTATC-1", "iM.data_TTCGCTGAGAGTTGAT-1", "iM.data_TGGAGGAGTATGGTAA-1", "iM.data_TCTATACTCGACATAC-1", "iM.data_TATCGCCTCTTTGATC-1", "iM.data_CCTCCTCCATAGAGGC-1", "iM.data_GTTGTCCTCCCTCGTA-1", "iM.data_CTCCGATTCTCGTGAA-1", "iM.data_TGCTCCACATACAGAA-1", "iM.data_TTGCTGCTCTCTCAAT-1", "iM.data_GTGAGGATCTATTTCG-1", "iM.data_TCCTCTTGTTCTCCAC-1", "iM.data_CCCTGATAGCGACTTT-1", "iM.data_AGACACTGTGTTCATG-1", "iM.data_AGAACCTCATACCAGT-1", "iM.data_GAGTTGTCACTAACGT-1", "iM.data_TTTCATGCAGCATCTA-1", "iM.data_CCATCACTCTTTCAGT-1", "iM.data_ACTGTCCTCAAGAGGC-1", "iM.data_ACCAACACAGAATGTA-1", "iM.data_TGGATCATCGTTCTGC-1", "iM.data_ATGCCTCCACAGCCTG-1", "iM.data_CATTGAGTCTGCACCT-1", "iM.data_TCAATTCTCCGCACGA-1", "iM.data_AGCCAATTCATTTACC-1", "iM.data_CATCCCAGTTCGTAAC-1", "iM.data_GTCCTCACAGGTGACA-1", "iM.data_TCACGGGCATGGACAG-1", "iM.data_ATACCGACATCTCGTC-1", "iM.data_AGAGCCCTCAAGCTTG-1", "iM.data_TGGCGTGCAAGGGCAT-1", "iM.data_TGTTGGACAAAGGCTG-1", "iM.data_CATACCCCAAGAGTTA-1", "iM.data_CCGGTGAGTATTTCTC-1", "iM.data_TGCTCGTAGCCTCTGG-1", "iM.data_GCCAGGTTCACCTCAC-1", "iM.data_GCTGAATAGAAACTGT-1", "iM.data_AGGGTCCTCTACGGTA-1", "iM.data_AGACACTGTTAGTCGT-1", "iM.data_GTCTCACGTCAACACT-1", "iM.data_CGAGGAACAGAATGTA-1", "iM.data_CTTCAATTCAATGCAC-1", "iM.data_TGGGCGTTCACATTGG-1", "iM.data_CTCCTTTTCCAGTTCC-1", "iM.data_AAAGTGAGTTGTACGT-1", "iM.data_GACGCTGTCCGTTGGG-1", "iM.data_AATGGCTCACAACGAG-1", "iM.data_GCTCAAACAGGGAATC-1", "iM.data_CATTCCGTCGTCGACG-1", "iM.data_GCGGATCGTATTAAGG-1", "iM.data_AGTGTTGCACCTGCAG-1", "iM.data_CTTCTAAAGGCACTAG-1", "iM.data_GCAACATCAAATGGAT-1", "iM.data_TATCTTGTCGGCTTCT-1", "iM.data_TGGCGTGAGTAGAATC-1", "iM.data_TTTATGCGTCATACCA-1", "iM.data_GCAGCCATCACCGGTG-1", "iM.data_ATCATTCTCGGCTTCT-1", "iM.data_CAATGACTCCCGTTCA-1", "iM.data_GGGCTCAAGTTGGGAC-1", "iM.data_TCAGCAAGTGGATGAC-1", "iM.data_TACAACGCATGGCTGC-1", "iM.data_ACGGTTACAGGAGACT-1", "iM.data_GAGTCATTCTTGGAAC-1", "iM.data_TCATCCGCATGAGTAA-1", "iM.data_AGCGATTGTACCTAGT-1", "iM.data_TCGCTCACAAGTGCAG-1", "iM.data_TTGATGGTCCTTATGT-1", "iM.data_AGTCAACAGTTGCCCG-1", "iM.data_CGGAACCGTCACCCTT-1", "iM.data_TTGCATTAGATAGTGT-1", "iM.data_GACATCAGTGTCCGGT-1", "iM.data_GGGTGTCAGCTCCGAC-1", "iM.data_TGATTCTGTAACAGTA-1", "iM.data_GCCAGGTGTTAAGACA-1", "iM.data_CTTGATTCACCTCTAC-1", "iM.data_GCGGAAAGTGCGAACA-1", "iM.data_CATGCTCCAAACCACT-1", "iM.data_TCGGGTGGTTACACTG-1", "iM.data_CACGTTCGTTGTAGCT-1", "iM.data_CAAGGGAGTTGAGAGC-1", "iM.data_TAGACTGCACTTGTCC-1", "iM.data_TCAGTTTAGACCATTC-1", "iM.data_GAGAGGTAGTGATAGT-1", "iM.data_GTTAGACGTACAGCGA-1", "iM.data_ATTCCATTCTGACAGT-1", "iM.data_CATTCATGTTCTCCAC-1", "iM.data_TGTGGCGTCACTCGAA-1", "iM.data_GGGACAAAGAGATCGC-1", "iM.data_CGGGTCACAAACCATC-1", "iM.data_CAGGTATTCGGAAACG-1", "iM.data_CACAACATCCATTGGA-1", "iM.data_GCCAACGCAATAAGGT-1", "iM.data_AGACCCGAGCACCCAC-1", "iM.data_ACATTTCGTATCCCTC-1", "iM.data_CTTGATTCACTATGTG-1", "iM.data_TACAACGTCGAGTGGA-1", "iM.data_GTCCTCACAGACCCGT-1", "iM.data_CATTGTTCAACACAGG-1", "iM.data_ACAGGGAAGCGTCTGC-1", "iM.data_TCTCACGTCTCTGAGA-1", "iM.data_CTGTATTAGTGAACAT-1", "iM.data_ATCACTTTCCAGCCTT-1", "iM.data_AGCCAATGTATTCTCT-1", "iM.data_TGCTTCGGTGGCAGAT-1", "iM.data_CCGGGTAAGGTTGAGC-1", "iM.data_TCCATCGCAATTGCTG-1", "iM.data_TAATTCCAGCCTCTCT-1", "iM.data_TGCTTGCTCGGACCAC-1", "iM.data_TGGATCACAACATCGT-1", "iM.data_TGGTAGTTCCGCACGA-1", "iM.data_CAATTTCAGACCTCCG-1", "iM.data_CACTTCGCATACCAGT-1", "iM.data_TAGACCATCGCACGAC-1", "iM.data_CATCCGTTCAGTAGGG-1", "iM.data_CCACTTGTCTTCTGTA-1", "iM.data_CGCAGGTAGCGTTCAT-1", "iM.data_GGCACGTTCACTCACC-1", "iM.data_ACCCTCAAGACTTAAG-1", "iM.data_ACACAGTCAGCACAGA-1", "iM.data_GACGTTATCTACCACC-1", "iM.data_GTGTAACTCGTGGCTG-1", "iM.data_CGTTCTGTCTACTTCA-1", "iM.data_AGATGCTGTACAGTTC-1", "iM.data_ACTTCGCTCACCTACC-1", "iM.data_CTCTCAGCACACGGTC-1", "iM.data_GGGTCACTCGCAGTTA-1", "iM.data_GGAGCAAAGCCTTTCC-1", "iM.data_ACCTGAATCAGTGATC-1", "iM.data_AGTTAGCCACTTCCTG-1", "iM.data_CCTATCGCAACAAAGT-1", "iM.data_TCCTCCCAGAGATCGC-1", "iM.data_ACCCAAAAGAACTTCC-1", "iM.data_CAAGAGGCAACGGCTC-1", "iM.data_GTAGCTACACTGAGGA-1", "iM.data_TGCATCCTCAGTGTTG-1", "iM.data_CTATCTAGTTTGGAAA-1", "iM.data_CCTCACAGTCCACATA-1", "iM.data_GCACGGTTCGAGCCTG-1", "iM.data_GGGTTTAAGCTAAGTA-1", "iM.data_AAGTACCGTTTCGATG-1", "iM.data_TCGTAGAGTCCCTCAT-1", "iM.data_ACTTAGGAGACAACTA-1", "iM.data_TTGCCTGTCTCACTCG-1", "iM.data_GTAGAGGCACGGCCAT-1", "iM.data_GAGACCCAGGCGTTAG-1", "iM.data_GGGAAGTGTTAAGCAA-1", "iM.data_TTACGCCGTAGCGTCC-1", "iM.data_GCCTGTTTCTCGGTCT-1", "iM.data_CCCAACTAGGCTTAAA-1", "iM.data_AACAACCGTTAAGACA-1", "iM.data_TAGACCAGTGTCGCTG-1", "iM.data_GCAGTTAGTCCACTTC-1", "iM.data_CTCCACAAGCGCTGCT-1", "iM.data_AGGCCACCACGGGTAA-1", "iM.data_ATTACCTAGCGAGTCA-1", "iM.data_GTCATTTAGTTCACTG-1", "iM.data_AAATGGAAGTAAGACT-1", "iM.data_CTTCTAACAAGCGAGT-1", "iM.data_AGCGTATAGTCGTTAC-1", "iM.data_CGACAGCAGGCCTGAA-1", "iM.data_GGATCTACAGATCCTA-1", "iM.data_AAGCATCAGCTTAAGA-1", "iM.data_TAAGCACAGTCCGTCG-1", "iM.data_TAAGCGTCAACTAGAA-1", "iM.data_CGTAGTAAGACCCGCT-1", "iM.data_GTGATGTTCGCATAGT-1", "iM.data_TCAAGTGGTGTTGAGG-1", "iM.data_CTTACCGTCAAGCTTG-1", "iM.data_GCGAGAAGTAGAGGAA-1", "iM.data_TTCCGTGTCCAACCAA-1", "iM.data_CAGTTCCTCCCGAATA-1", "iM.data_TTTGACTTCTTCTAAC-1", "iM.data_TTACAGGAGACATACA-1", "iM.data_ATTTCACGTTGTTGAC-1", "iM.data_AGGCCACTCCGTACGG-1", "iM.data_CAGATACTCCCGAGGT-1", "iM.data_CGTCCATCACGAAGAC-1", "iM.data_ACTTCGCGTATCGCGC-1", "iM.data_CATTCCGCATTAGGAA-1", "iM.data_TTGAGTGGTCCTCAGG-1", "iM.data_TGGTACAGTTCGTGCG-1", "iM.data_AGACTCACATGAAAGT-1", "iM.data_TGGTACAGTTGCAAGG-1", "iM.data_AGGAGGTCAAAGACGC-1", "iM.data_CAATACGAGAAGAACG-1", "iM.data_AATGGAATCCGAGCTG-1", "iM.data_GTACAGTCATCTCGTC-1", "iM.data_GACACGCCATCTAACG-1", "iM.data_CTGTACCAGTCTCGTA-1", "iM.data_TCCCATGAGGGCAGGA-1", "iM.data_ATACCTTCACATAACC-1", "iM.data_GAGTTACTCTCGCTCA-1", "iM.data_TGGGAAGCAAGCACAG-1", "iM.data_CCTCACAGTCCAAATC-1", "iM.data_TAGGGTTTCTCGCTCA-1", "iM.data_ACATGCATCCTCTCGA-1", "iM.data_GAGTTTGTCGATGCAT-1", "iM.data_TTACGCCGTTTCTATC-1", "iM.data_AGGGCCTCACAGACGA-1", "iM.data_CTCATTACAATGTTGC-1", "iM.data_AGTCTCCTCATGCTAG-1", "iM.data_GAGATGGCAGACACAG-1", "iM.data_TCCAGAAGTAGCGTAG-1", "iM.data_CTGGTCTTCCAACTGA-1", "iM.data_ATCAGGTGTGACGTCC-1", "iM.data_GCGATCGCATCATTGG-1", "iM.data_CAGCCAGTCCGTGCGA-1", "iM.data_TGGGTTAGTCCAAAGG-1", "iM.data_CATCGCTAGTAAAGCT-1", "iM.data_GCCCGAAAGAACAGGA-1", "iM.data_CATGGTATCTGCATAG-1", "iM.data_GCACTAATCCATTTCA-1", "iM.data_AAACGAAAGCTAGTTC-1", "iM.data_TTCCTTCCAGACCGCT-1", "iM.data_ACACGCGTCCAAGAGG-1", "iM.data_ACGATGTCAATATCCG-1", "iM.data_CCTAAGATCTGGACCG-1", "iM.data_GGAGGTACATTCTCTA-1", "iM.data_TTGCCTGAGGGTTGCA-1", "iM.data_TCATTACGTGCACAAG-1", "iM.data_GTATTTCAGCCTCTCT-1", "iM.data_GTCCCATTCCAGCAAT-1", "iM.data_GTCAAACAGATACATG-1", "iM.data_GAAGTAACATGACGGA-1", "iM.data_CTTGATTTCGAACGGA-1", "iM.data_ACGGTTAAGGTACATA-1", "iM.data_AGCATCATCCGATAAC-1", "iM.data_CATGGATGTTTGGGTT-1", "iM.data_TACGCTCTCCTTCTGG-1", "iM.data_GTCATCCCAGGTTCGC-1", "iM.data_CTCACTGAGGTGCTGA-1", "iM.data_TGAATCGGTAGGTAGC-1", "iM.data_CACGTGGCAGCCTACG-1", "iM.data_TTACGTTCATCTTCGC-1", "iM.data_TACCCACCAGAGAATT-1", "iM.data_GACCTTCTCATCGTAG-1", "iM.data_GTAATCGCAGACATCT-1", "iM.data_AGTCTCCTCCAGTGCG-1", "iM.data_GCTTGGGCACATTGTG-1", "iM.data_GCTACCTTCACCTCTG-1", "iM.data_GTAGAAAAGGGATCTG-1", "iM.data_GTCATGAAGTCCCGGT-1", "iM.data_TAACACGTCCTATTTG-1", "iM.data_ATCCGTCTCGCTACAA-1", "iM.data_GCTACAACACAGCCAC-1", "iM.data_GTATTTCCATCCTCAC-1", "iM.data_TCTCTGGGTTCCTACC-1", "iM.data_AGAAATGTCCGAGTGC-1", "iM.data_TTCATTGTCATGTCTT-1", "iM.data_CCACGTTCATCGTCCT-1", "iM.data_AGATGAACAATGCAGG-1", "iM.data_ACAGCCGCAGTGAGCA-1", "iM.data_AGTTCCCTCCCATAAG-1", "iM.data_CCGGTAGCAATGTTGC-1", "iM.data_CGGACACGTATTCCTT-1", "iM.data_ACGTAGTTCCACTAGA-1", "iM.data_GGGATCCAGCCTTTGA-1", "iM.data_TATACCTTCCCAACTC-1", "iM.data_GAATCGTCAGGAGGTT-1", "iM.data_GTAATGCGTCCGTACG-1", "iM.data_TACACCCGTGCCGGTT-1", "iM.data_TTCACGCAGCAACAAT-1", "iM.data_AGGGTCCCATGAATCC-1", "iM.data_GTCATGACACCGTACG-1", "iM.data_TACATTCTCGGTGCAC-1", "iM.data_CACTAAGTCCGTAGGC-1", "iM.data_GGGCTACCATCCTATT-1", "iM.data_TCATTACCAACCCTAA-1", "iM.data_TACGGGCAGTATAACG-1", "iM.data_CTGCCTAGTCCTCCAT-1", "iM.data_GTCAAACGTATTTCTC-1", "iM.data_TCAATTCTCGGATAAA-1", "iM.data_CTCCACATCCGTGACG-1", "iM.data_GAGGGTATCGTGGACC-1", "iM.data_CTCATTATCATTCACT-1", "iM.data_TTGAACGAGCTAAACA-1", "iM.data_CAACCAATCTGGGAGA-1", "iM.data_AGAAATGCAATCAAGA-1", "iM.data_CGATGCGAGCGGCTCT-1", "iM.data_CCACACTGTGATTGGG-1", "iM.data_TGTGCGGAGCACCCAC-1", "iM.data_AGTAGTCAGTTGTCAC-1", "iM.data_AACCACACATCAGCAT-1", "iM.data_CGAATTGGTTACGTAC-1", "iM.data_CCGTAGGCAGCGTTGC-1", "iM.data_TCCCACAAGCCTGGAA-1", "iM.data_ACTTTCACATTATGCG-1", "iM.data_AGCTACACATAGAGGC-1", "iM.data_TGGTAGTAGACCTCAT-1", "iM.data_GTCAAACGTTTATGCG-1", "iM.data_TCGCTTGTCGTCCTCA-1", "iM.data_CATTCCGGTATGCTAC-1", "iM.data_GTCCCATGTGATAGTA-1", "iM.data_AAGCGTTTCGCGCTGA-1", "iM.data_CACGTGGCACACACGC-1", "iM.data_CCCTCAACAGTTACCA-1", "iM.data_ATAGACCCAGCTAACT-1", "iM.data_TTCACCGGTTATCTGG-1", "iM.data_ATACTTCTCGAACGCC-1", "iM.data_ATGCATGTCACTACGA-1", "iM.data_ACAGGGAAGCTGTCCG-1", "iM.data_TATATCCAGGTGCCTC-1", "iM.data_CACGTTCGTATTGACC-1", "iM.data_TGACTCCTCTGAATGC-1", "iM.data_TTGGGCGCATACTGTG-1", "iM.data_AAAGGGCGTTCTGAGT-1", "iM.data_TAGGGTTCACTCTAGA-1", "iM.data_ATTCAGGTCTCATGCC-1", "iM.data_GTGTGATCAGTTGCGC-1", "iM.data_TCGCAGGGTTATAGAG-1", "iM.data_AGACAGGAGAGGTGCT-1", "iM.data_TAATCTCGTGGCATCC-1", "iM.data_AAATGGACACTTCTCG-1", "iM.data_CATGCAACATGACGAG-1", "iM.data_TAACGACGTAACACCT-1", "iM.data_GATGATCCAACTGCCG-1", "iM.data_CGGAATTCACTTCAGA-1", "iM.data_GGAATCTGTGGGCTCT-1", "iM.data_TTGACCCAGGCAGGTT-1", "iM.data_TGCAGGCCATAGATGA-1", "iM.data_GATGTTGAGCCTAACT-1", "iM.data_ATGTCCCCATGCCGCA-1", "iM.data_CATCCACGTTGTATGC-1", "iM.data_TCCTTTCCACGCGTGT-1", "iM.data_CGCATAATCAACTGGT-1", "iM.data_GAGGCAAGTCGCAGTC-1", "iM.data_CACGTTCTCGCCTTGT-1", "iM.data_TCATTCAGTTGCTCCT-1", "iM.data_AAGTACCTCATGCCCT-1", "iM.data_TTCAATCCACGTGTGC-1", "iM.data_CCCAACTAGCACACAG-1", "iM.data_TAACGACCATCGCTCT-1", "iM.data_ATCCCTGGTCTCAGGC-1", "iM.data_TCTGCCATCCAGTGTA-1", "iM.data_CGCCATTCATAAGCAA-1", "iM.data_AAGACAAGTATCGCGC-1", "iM.data_TATATCCCAATCCAGT-1", "iM.data_TGCTGAACATCGATCA-1", "iM.data_TGAGGTTCAGCACCCA-1", "iM.data_TTCTTCCTCGCCTATC-1", "iM.data_TTCCTCTTCGAAGCCC-1", "iM.data_TAGTGCATCGCAGTTA-1", "iM.data_TGCTTGCAGGCAATGC-1", "iM.data_ATCGTAGCAAGCAATA-1", "iM.data_CAGATCAGTGATTAGA-1", "iM.data_CTTTCAACACACACGC-1", "iM.data_AAAGGATCAACGGCTC-1", "iM.data_CGAGTTATCGGCCCAA-1", "iM.data_TTGTGGAGTGCCTACG-1", "iM.data_GATTTCTGTTGCACGC-1", "iM.data_GGGCCATTCGTTCATT-1", "iM.data_TGTAAGCTCCCGTAAA-1", "iM.data_TTCCAATGTCGCCTAG-1", "iM.data_TACATTCTCGCACGAC-1", "iM.data_TCATACTGTAGCTTGT-1", "iM.data_TCACATTCATGAATCC-1", "iM.data_TCCTGCATCCGTACGG-1", "iM.data_CATTCATCAAAGGCGT-1", "iM.data_TATCTTGAGCCTGAGA-1", "iM.data_AGAAATGTCAAGCCCG-1", "iM.data_TCACTATTCTGGGCCA-1", "iM.data_GCGTGCAAGACCAGCA-1", "iM.data_ATGAAAGCATGATCTG-1", "iM.data_CATTGTTAGCAACTCT-1", "iM.data_AAGACAAGTATTGGCT-1", "iM.data_CACGTTCAGGTTCATC-1", "iM.data_TGCAGGCTCATCTGTT-1", "iM.data_ATCCACCCAGGCATTT-1", "iM.data_CTCATCGCATTCATCT-1", "iM.data_TTCCACGCACTGAGGA-1", "iM.data_CCGTTCAGTTTGCCGG-1", "iM.data_AGGCTGCTCTCCCATG-1", "iM.data_CATCAAGCAAGGCAAC-1", "iM.data_GTTCTATAGGCACTCC-1", "iM.data_GACTGATTCATGACAC-1", "iM.data_TGACGCGGTCCATCTC-1", "iM.data_GAGTTGTAGACCATTC-1", "iM.data_CTCCATGGTCCACAGC-1", "iM.data_AACCAACAGCTAGCCC-1", "iM.data_TACTGCCAGAAACCCG-1", "iM.data_AGGACGACACTGTGAT-1", "iM.data_TGCCGAGTCTATCGCC-1", "iM.data_AGGTTACTCTGCACCT-1", "iM.data_CATACAGCATAGTCAC-1", "iM.data_AGGGTTTAGGCTTCCG-1", "iM.data_ATGGGAGAGTCTACCA-1", "iM.data_AAGAACAGTGCGAACA-1", "iM.data_AGTGCCGGTTAATGAG-1", "iM.data_CGAGGAACAGCTGCCA-1", "iM.data_CCTCTCCCAACGACTT-1", "iM.data_CAATTTCAGCAATTAG-1", "iM.data_TCAGCCTGTCTGCGCA-1", "iM.data_GCCTGTTCAACGACTT-1", "iM.data_TTGTGGATCCGAAGGA-1", "iM.data_ACTTCCGTCACGATCA-1", "iM.data_GAAGAATAGACCTCAT-1", "iM.data_CTCACTGGTGTCCACG-1", "iM.data_GTAATGCAGGTTGGTG-1", "iM.data_CCACTTGCAACCAATC-1", "iM.data_CATAGACCATACAGCT-1", "iM.data_TACGGGCTCACGGACC-1", "iM.data_ATGGATCCATCGCCTT-1", "iM.data_TCACACCTCTCTCTTC-1", "iM.data_GAATCGTTCAGTCATG-1", "iM.data_CTAAGTGCACGATTCA-1", "iM.data_CTCATCGAGGCTGAAC-1", "iM.data_TCGCAGGTCTCGGTCT-1", "iM.data_TCAAGACTCGGATTAC-1", "iM.data_GCCATTCAGTCACACT-1", "iM.data_GTCCACTTCCAGCTCT-1", "iM.data_CCTCAACAGATTGAGT-1", "iM.data_AAGCGTTAGCAGAAAG-1", "iM.data_AGTGATCTCGTCCATC-1", "iM.data_GACCGTGGTTACGATC-1", "iM.data_TGTTCATAGGTTAAAC-1", "iM.data_CCTAACCCACTGAATC-1", "iM.data_GTAAGTCCAACGACAG-1", "iM.data_TCAAGCACATCATTGG-1", "iM.data_GGGCGTTTCTCTGCTG-1", "iM.data_AATCACGTCCTAAACG-1", "iM.data_TTTCACAGTTGCTTGA-1", "iM.data_TAGACTGCATTGACCA-1", "iM.data_CGAGTTATCAGCTTCC-1", "iM.data_CCCGAAGTCCACCCTA-1", "iM.data_AGACACTAGAACAAGG-1", "iM.data_GTTAGTGCAAGATGGC-1", "iM.data_CACCGTTTCCTAGCCT-1", "iM.data_TATTGCTAGTCTAACC-1", "iM.data_AACGGGAGTACTCGAT-1", "iM.data_CTACTATAGGGTCACA-1", "iM.data_TCTGGCTTCAAGGCTT-1", "iM.data_GTGTCCTCACGTAACT-1", "iM.data_ACTTCGCTCCTCAGAA-1", "iM.data_TAGGTTGGTAGTGGCA-1", "iM.data_TCGGGACTCTAGTGTG-1", "iM.data_CCACACTCAACACAAA-1", "iM.data_TAGACCAGTTAGGACG-1", "iM.data_TAAGCCAAGCTAGAAT-1", "iM.data_GACACGCTCCTCACTG-1", "iM.data_ACATTTCAGCCATTCA-1", "iM.data_TTGTTGTGTAACATGA-1", "iM.data_AACGTCAGTCATCGGC-1", "iM.data_CTACGGGAGTGCGACA-1", "iM.data_GGTGTTAGTCACGACC-1", "iM.data_GTCACTCAGCATATGA-1", "iM.data_ACGTCCTCACCGTGCA-1", "iM.data_GTCACTCCATGTTCGA-1", "iM.data_ACGGTCGAGTGTTCCA-1", "iM.data_ATGAAAGTCCAAGAGG-1", "iM.data_CAATACGAGTTTGAGA-1", "iM.data_CATGCAAAGTATGGCG-1", "iM.data_GGGATCCCAGCTTTCC-1", "iM.data_TATCTGTTCAACCTTT-1", "iM.data_TCAATTCGTGCCGTTG-1", "iM.data_ATCGTAGCAGGCTCTG-1", "iM.data_AATGGCTGTTGCACGC-1", "iM.data_GCCCGAAAGAACCCGA-1", "iM.data_GACCAATTCGCTGTTC-1", "iM.data_TGGGAAGTCACTGTCC-1", "iM.data_ACCCAAAAGGTTACCT-1", "iM.data_ATACCTTTCTACCCAC-1", "iM.data_AGACAAAGTAGACTGG-1", "iM.data_GCTACAAAGGGACCAT-1", "iM.data_TTACGCCCAGAACTCT-1", "iM.data_GTCATGAGTCGATTTG-1", "iM.data_TATTTCGCAAGGCTTT-1", "iM.data_ACTATGGGTGAGTAAT-1", "iM.data_GAGCTGCTCTGCACCT-1", "iM.data_GAATCACGTAGACGGT-1", "iM.data_TTCTTCCAGGCATCTT-1", "iM.data_GGTCACGGTTAAACAG-1", "iM.data_AGTGTTGAGTATTGCC-1", "iM.data_ACCCAAATCACCTTAT-1", "iM.data_TAGCACATCCTTATAC-1", "iM.data_CATGAGTAGCAACCAG-1", "iM.data_TCGAACAAGCCTGCCA-1", "iM.data_GTGTGGCCACGAAAGC-1", "iM.data_AAGCGAGAGATGACCG-1", "iM.data_GAGACCCCATAACGGG-1", "iM.data_CATACCCCAAACACGG-1", "iM.data_TCAGGTACAGCTTTGA-1", "iM.data_TGTCCCACAAAGCTAA-1", "iM.data_TCATTCAGTCATCAGT-1", "iM.data_ACCAAACTCAAACGAA-1", "iM.data_GTTACCCCAGGAGGTT-1", "iM.data_TCTACCGGTTACACAC-1", "iM.data_GGAGATGAGTCAGGGT-1", "iM.data_CAACAACGTCGCATGC-1", "iM.data_TGTCCACCACCGTGAC-1", "iM.data_CCAATGATCACGGAGA-1", "iM.data_TCGAACATCTAGCCAA-1", "iM.data_CATTGAGTCCCTTCCC-1", "iM.data_TATCGCCGTCTACACA-1", "iM.data_CATTCCGGTATGGAAT-1", "iM.data_CTTACCGGTCCTATAG-1", "iM.data_GGGCTCACAACGACTT-1", "iM.data_CTCAGTCCATCGGCCA-1", "iM.data_AAGATAGTCCGGCAGT-1", "iM.data_AGGACTTGTGCAACAG-1", "iM.data_CCTCTCCGTTGCCGAC-1", "iM.data_GCCCAGAGTTCGTACA-1", "iM.data_GTCAAACCAGTATACC-1", "iM.data_CAGCAGCCAGAGTTCT-1", "iM.data_GCAACCGTCCATGATG-1", "iM.data_GGGTGTCTCCAAGCAT-1", "iM.data_GGGTGAACATCTTCGC-1", "iM.data_ATTCCTATCCATAGGT-1", "iM.data_CTCCTCCCATAACAGA-1", "iM.data_ACAGCCGGTCCTGGGT-1", "iM.data_TAGACTGTCATGCCAA-1", "iM.data_TACCCACCACCGGCTA-1", "iM.data_AACAGGGAGCCTGAGA-1", "iM.data_ATGGGAGGTCATGGCC-1", "iM.data_GGGACTCAGCGATTCT-1", "iM.data_CCATCACTCCAGCCTT-1", "iM.data_GTGGAGAGTCTTGAAC-1", "iM.data_GACACGCCACACCTAA-1", "iM.data_CATCCCAAGGACAACC-1", "iM.data_GAAGCGAGTAGCTGCC-1", "iM.data_CACTGTCTCTCATGCC-1", "iM.data_TGTCCACGTGACATCT-1", "iM.data_ATCGTCCCAGACCATT-1", "iM.data_CAGTTCCCAAGTTCCA-1", "iM.data_GACTTCCGTTACACAC-1", "iM.data_TGTCCACGTCAGCTTA-1", "iM.data_GCTACCTGTACATACC-1", "iM.data_ACAACCAAGCCAACCC-1", "iM.data_TCATGCCTCTATTCGT-1", "iM.data_GCTTGGGCAGAAGTTA-1", "iM.data_GCCAGGTCATAGATCC-1", "iM.data_TCCGGGAGTTCACGAT-1", "iM.data_TAACCAGGTGATAGTA-1", "iM.data_CAACGGCAGGAACGAA-1", "iM.data_CCTCTCCGTGCGGTAA-1", "iM.data_GCAGGCTCATGATAGA-1", "iM.data_TAACACGAGTCAGAGC-1", "iM.data_CAGAGCCCAACCGCTG-1", "iM.data_GAAGGACCACCTCAGG-1", "iM.data_GGTTGTATCTCAACCC-1", "iM.data_TCTGCCACAGTTCTAG-1", "iM.data_TTTCACAGTCACTGAT-1", "iM.data_GAATCACTCCTCTCTT-1", "iM.data_AGACCATCACTACTTT-1", "iM.data_TTCTGTACATCGGCCA-1", "iM.data_GAACACTTCCGTAATG-1", "iM.data_TAAGTCGTCCTTCTGG-1", "iM.data_TCGACCTTCTACGCAA-1", "iM.data_CTTGATTTCAAGATAG-1", "iM.data_CCTTCAGTCAGTCACA-1", "iM.data_CAATACGCACTTGTGA-1", "iM.data_CATTGCCCACTGATTG-1", "iM.data_TCAGCCTTCTTCACGC-1", "iM.data_CCGGTGACATCCTTCG-1", "iM.data_AATGACCAGTTCACTG-1", "iM.data_ATGTCTTTCCAATCCC-1", "iM.data_CCACTTGCACAGTACT-1", "iM.data_AGGAGGTTCGTAGGGA-1", "iM.data_CCTCTAGCAACCCTCT-1", "iM.data_GATCAGTGTGCATTAC-1", "iM.data_CTTCTAACACCTCTAC-1", "iM.data_TTTCACATCTCCAAGA-1", "iM.data_ACTTTCACATCCGTGG-1", "iM.data_TCAGTGATCCAATCCC-1", "iM.data_CCCTTAGTCCGATCTC-1", "iM.data_CTCTCAGAGGAACGCT-1", "iM.data_CAAGCTACATAAGCGG-1", "iM.data_TGGATCAAGCATCCCG-1", "iM.data_GCAACCGAGTCGTTAC-1", "iM.data_CAGATACCACATCCCT-1", "iM.data_TCCACCACAGTTCCAA-1", "iM.data_AGTGACTAGCGACTGA-1", "iM.data_CCGTTCACAGCCGTTG-1", "iM.data_ACAAGCTAGTACTGGG-1", "iM.data_CTAGACATCCTTCAGC-1", "iM.data_TCGCTCAAGGGCAATC-1", "iM.data_ACCCAAAGTTCGTAAC-1", "iM.data_CACTGTCCAGAGTTCT-1", "iM.data_TCCACGTTCAGTGATC-1", "iM.data_CATTGAGTCCCGAATA-1", "iM.data_TCCTCGACAGTAACGG-1", "iM.data_AGAGCAGCATAGGCGA-1", "iM.data_CTTCCGAGTCGCAGTC-1", "iM.data_TCATCATCAGTGAGCA-1", "iM.data_AGAGCAGCAGAGGCTA-1", "iM.data_TTACCATCAATGAAAC-1", "iM.data_GGTAACTAGGTTACAA-1", "iM.data_CAATGACAGTATAGAC-1", "iM.data_AGAACAACAGCGGTCT-1", "iM.data_AGGTGTTCAACAGAGC-1", "iM.data_AGACACTCAGCGACCT-1", "iM.data_ACCAACATCGTTCTGC-1", "iM.data_CAGCAATTCCGAGGCT-1", "iM.data_ATTCCTATCTGAACGT-1", "iM.data_AAGTTCGAGTACTGGG-1", "iM.data_ACCTGTCTCCGTGTAA-1", "iM.data_TTACGTTTCAAACGTC-1", "iM.data_AACGAAAAGCTAGTTC-1", "iM.data_ATCCATTTCGACCTAA-1", "iM.data_TCACTATAGAAATGGG-1", "iM.data_CGGGTCATCCCTCTCC-1", "iM.data_AGACAGGGTTATCCAG-1", "iM.data_GAACTGTCAATGTCAC-1", "iM.data_AGGGTGAAGCTTCTAG-1", "iM.data_AGAACAATCCAGTGCG-1", "iM.data_TGGATGTTCTGGTGCG-1", "iM.data_TGCATCCCATCTGGGC-1", "iM.data_TCACACCCAGCTGTTA-1", "iM.data_ACTACGAGTGCAAGAC-1", "iM.data_CTGCAGGAGCTATCCA-1", "iM.data_TGTCAGAGTAGACACG-1", "iM.data_TTCATTGTCAAGAGTA-1", "iM.data_TATTGGGCATACTGTG-1", "iM.data_TACTTACTCCACGTCT-1", "iM.data_AACGGGAAGATCACTC-1", "iM.data_AACAAGACACCTCGTT-1", "iM.data_CTTCCTTTCGAACACT-1", "iM.data_CATCCACCACAAATCC-1", "iM.data_GGAGGTAGTAACCCTA-1", "iM.data_AGGGTGATCACCGCTT-1", "iM.data_CAGGGCTCAACGACTT-1", "iM.data_CGTTAGACATCGGTTA-1", "iM.data_CCACTTGTCCCAATAG-1", "iM.data_CGGGTGTTCTCGTTTA-1", "iM.data_CTGCAGGCAAGCTGCC-1", "iM.data_TCGAACAGTCTCCTGT-1", "iM.data_ATGGGAGCATAGAAAC-1", "iM.data_CAACAACCAAGTTTGC-1", "iM.data_GCAACCGGTGCAACGA-1", "iM.data_CATTGCCCAGGGATAC-1", "iM.data_ACACGCGAGTTCATGC-1", "iM.data_TACGGGCCAACATACC-1", "iM.data_GCGGAAATCTAGCAAC-1", "iM.data_TACACCCTCCATTCAT-1", "iM.data_GCATGATCAAATACGA-1", "iM.data_TCACGGGAGAAACACT-1", "iM.data_TCATTACAGTGCAAAT-1", "iM.data_TGCAGTATCGCTCTAC-1", "iM.data_CCCTCTCAGTCCCAAT-1", "iM.data_CCACACTCATTAAAGG-1", "iM.data_CAACGGCTCTACTGCC-1", "iM.data_GGTAACTAGCCTTCTC-1", "iM.data_CAGCAATGTCGTCATA-1", "iM.data_GTCTGTCTCTGTGCGG-1", "iM.data_TTGTTGTGTCGGAACA-1", "iM.data_CAAGACTTCCAACACA-1", "iM.data_CATGCGGGTCCCGTGA-1", "iM.data_TGCATCCAGGTGGCTA-1", "iM.data_TCCTGCAGTACCCGCA-1", "iM.data_TCTGGCTCAAGTTTGC-1", "iM.data_ATACCGACATCATTGG-1", "iM.data_CTATCCGAGAGCCGAT-1", "iM.data_TCTCAGCCACGGCTAC-1", "iM.data_TGTCCTGCACCTATCC-1", "iM.data_AGAACAACAGTGGCTC-1", "iM.data_GCTCAAAGTGAGACGT-1", "iM.data_ATCCGTCTCGCACGGT-1", "iM.data_CATTTCAAGCATCCCG-1", "iM.data_CGGACACCAGGAACCA-1", "iM.data_AGGGAGTCACAAGGTG-1", "iM.data_GCTGGGTGTTGAGTCT-1", "iM.data_CATTTCATCCACCCTA-1", "iM.data_CTTAGGAGTGAACTAA-1", "iM.data_ACGGTTACACCAGGTC-1", "iM.data_AACCTGAAGTATTCCG-1", "iM.data_CACACAAAGCCGTTAT-1", "iM.data_TAGAGTCAGGACTAAT-1", "iM.data_GTAAGTCAGGAAAGAC-1", "iM.data_CATGCGGAGGATCATA-1", "iM.data_TACCTCGCAACCAATC-1", "iM.data_CACACAAGTTTACGAC-1", "iM.data_ATGGGTTGTCCCGGTA-1", "iM.data_ACTATTCCAAGACGAC-1", "iM.data_AGACACTCACTCATAG-1", "iM.data_GATAGAACATAGACTC-1", "iM.data_CACTAAGTCTGAATCG-1", "iM.data_CAATCGATCAAAGAAC-1", "iM.data_CGGGTCAAGGGCCAAT-1", "iM.data_AATGGAACAATCTCTT-1", "iM.data_TGTCCTGCAAACCGGA-1", "iM.data_GCAACATGTCTATGAC-1", "iM.data_ACGTACATCCTAGAGT-1", "iM.data_CATGCCTGTTTCGACA-1", "iM.data_CTACGGGTCAGACCCG-1", "iM.data_GTAGCTACACAGCTGC-1", "iM.data_CTCCACACAACTCATG-1", "iM.data_ACCACAATCGTCTACC-1", "iM.data_CTGGCAGTCATTCACT-1", "iM.data_CACAACACATCGAGCC-1", "iM.data_GTGGCGTTCAAGAATG-1", "iM.data_AGAGCCCCATCTAGAC-1", "iM.data_GACAGCCAGAAGCCAC-1", "iM.data_GATAGCTTCCGTTTCG-1", "iM.data_TTGCCTGGTCTTCTAT-1", "iM.data_AACAAAGCAATTGCCA-1", "iM.data_AGTTCGAGTTTCAGAC-1", "iM.data_ATGAGTCTCTAACACG-1", "iM.data_CAGGCCATCACCTACC-1", "iM.data_TCCACCAAGGCTCAAG-1", "iM.data_ATGAAAGTCGAAGCAG-1", "iM.data_TCGCTCACACCTATCC-1", "iM.data_CTTCAATGTACAGAAT-1", "iM.data_CGAATTGTCCGCAAAT-1", "iM.data_ATTCAGGCATACACCA-1", "iM.data_CCACGAGGTTCTGACA-1", "iM.data_GTGAGGATCTGGACTA-1", "iM.data_CCACGTTTCCGCGAGT-1", "iM.data_GCATGATTCACTTCTA-1", "iM.data_GGGTTATCATGCGGTC-1", "iM.data_ACATCCCTCTTCCCGA-1", "iM.data_CATGCTCCACTCCCTA-1", "iM.data_AAGACAATCTTCGACC-1", "iM.data_AACGGGAAGGTCGACA-1", "iM.data_CAGGTATGTCATCAGT-1", "iM.data_GCATCTCAGCCTTCTC-1", "iM.data_GAACTGTGTCACATTG-1", "iM.data_AATCACGAGTACCCTA-1", "iM.data_CCGTGAGAGGTTTACC-1", "iM.data_GCTGAATAGACCATGG-1", "iM.data_AACACACAGCCTCTGG-1", "iM.data_TAACGACCACACGTGC-1", "iM.data_GCCGATGGTCTTCAAG-1", "iM.data_TCAAGACCATGGTGGA-1", "iM.data_GACCAATGTACGTTCA-1", "iM.data_TCCTTTCGTATCAGCT-1", "iM.data_CTACGGGCACTGAATC-1", "iM.data_ATAGGCTCAGCAGTTT-1", "iM.data_AAGGTAAGTATACCCA-1", "iM.data_AGGTTGTCAACGACTT-1", "iM.data_CTAACCCTCCATTTAC-1", "iM.data_CAGTTCCGTCTCAGGC-1", "iM.data_AGTCAACGTCCATCTC-1", "iM.data_ACTTATCGTCTCTCAC-1", "iM.data_AAGTACCAGACCAGCA-1", "iM.data_TCCACGTCAGCTGTCG-1", "iM.data_TGCAGGCTCCCAGGCA-1", "iM.data_TCTATACCATTGACCA-1", "iM.data_AAAGTCCTCATCGTAG-1", "iM.data_CCTTGTGGTGCCTAAT-1", "iM.data_ACTTCGCTCTCTCGAC-1", "iM.data_ACCAAACGTCTGCCTT-1", "iM.data_TCCTTCTTCCATACAG-1", "iM.data_ATCGCCTCAGCCCACA-1", "iM.data_ACCACAATCTCCTGCA-1", "iM.data_CAGCACGTCTCTCGAC-1", "iM.data_AGGATAAGTCCACTCT-1", "iM.data_GTACAACCAGCGGTTC-1", "iM.data_GAGGCCTTCGTTCCCA-1", "iM.data_TCTACATTCCCAGGCA-1", "iM.data_AACAACCAGGCCTGAA-1", "iM.data_TAGGTACCAAACTCTG-1", "iM.data_AACCTGACAAGCTACT-1", "iM.data_GGGCTCACAAGCAGGT-1", "iM.data_GGCTGTGAGCGTACAG-1", "iM.data_GAAATGACAGGTCTCG-1", "iM.data_AGACACTCACCTTCGT-1", "iM.data_CGTTAGACATTACTCT-1", "iM.data_CAGTTCCCAGAGAATT-1", "iM.data_CGGAACCAGGTTCATC-1", "iM.data_CGGACACCACTTGAGT-1", "iM.data_AGGTTACGTATTAAGG-1", "iM.data_GCTGAATCATCCAATG-1", "iM.data_TGATCTTCATCAGCTA-1", "iM.data_GGTAACTGTGGTAACG-1", "iM.data_CAGATTGCAGGCATTT-1", "iM.data_AGGAGGTTCTTTGCTA-1", "iM.data_CTCCCAACAGAACGCA-1", "iM.data_CTAACCCGTATCGATC-1", "iM.data_CTAGACAAGACATCAA-1", "iM.data_AGAAATGCACAACGCC-1", "iM.data_TTTGGAGTCGGAAACG-1", "iM.data_ATCACAGTCCATATGG-1", "iM.data_TAACACGGTCAACCAT-1", "iM.data_TGAGCATGTCGCACAC-1", "iM.data_CCTAACCCACTACTTT-1", "iM.data_CACAACATCAAACTGC-1", "iM.data_CCGATGGGTTCAAACC-1", "iM.data_AGGGTGATCACCGGTG-1", "iM.data_GCACATATCTTCACGC-1", "iM.data_TTACCATTCTTCTCAA-1", "iM.data_ACGTACATCACTGCTC-1", "iM.data_TCCTAATTCGCATTAG-1", "iM.data_TAACACGGTTCGAACT-1", "iM.data_TACACCCTCACACCCT-1", "iM.data_GACCTTCTCACTGAAC-1", "iM.data_TACTTCATCTGTAAGC-1", "iM.data_CTCCTCCCAGCTGTAT-1", "d05.data2_TTCTAGTGTAGTAAGT-1", "d05.data2_TCGACCTTCTCCTGTG-1", "d05.data2_CTGAGCGGTCATATGC-1", "d05.data2_CTCCGATCAGTGAGCA-1", "d05.data2_TGTCAGAGTCGTCGGT-1", "d05.data2_GATCATGTCGTGCAGC-1", "d05.data2_GTGGCGTGTGAGCGAT-1", "d05.data2_GTAATCGAGCGCCGTT-1", "d05.data2_TCGTGGGAGAGTCGAC-1", "d05.data2_GTCGTTCTCGCTTAAG-1", "d05.data2_CTCAAGACAGGCATGA-1", "d05.data2_TAACCAGGTCGTACTA-1", "d05.data2_TCGTGCTAGACCTTTG-1", "d05.data2_TTCTAACGTACCGTCG-1", "d05.data2_GTTAGTGTCTTCGACC-1", "d05.data2_AACAACCCAGAGTCAG-1", "d05.data2_TTCATTGAGCGTCAGA-1", "d05.data2_TATCCTAGTCGAGATG-1", "d05.data2_AAGAACACAATTGGTC-1", "d05.data2_ACCCTTGTCTGTCTCG-1", "d05.data2_CTCATGCTCAATCGGT-1", "d05.data2_TACCCGTAGGGCCCTT-1", "d05.data2_TCCGGGAGTTGAATCC-1", "d05.data2_TTGCGTCGTACAAAGT-1", "d05.data2_AGTCATGTCTAGGCCG-1", "d05.data2_TAGATCGTCAGGAACG-1", "d05.data2_CAGAGCCGTCGTTTCC-1", "d05.data2_GTAACACAGTCGAAAT-1", "d05.data2_TTGCATTTCCTCATAT-1", "d05.data2_GTTACAGGTGACCGTC-1", "d05.data2_AACCTGATCAAGTCGT-1", "d05.data2_AGAACAAGTATGGTAA-1", "d05.data2_CCTCTCCCAGTCGGAA-1", "d05.data2_GTGATGTAGAGTGGCT-1", "d05.data2_AGGTCATGTAGAATGT-1", "d05.data2_CGATCGGCAGTGGTGA-1", "d05.data2_ACAGCCGGTGTAGCAG-1", "d05.data2_GTCAAACCAAATCGTC-1", "d05.data2_ACATCGAAGATCGCTT-1", "d05.data2_AAAGGGCGTCGTTGGC-1", "d05.data2_GGGTGTCAGGAGATAG-1", "d05.data2_CTGGCAGTCCGTTGAA-1", "d05.data2_GTGACGCAGCACGGAT-1", "d05.data2_TCGGGACGTGTACGCC-1", "d05.data2_CGAAGGACATGACTAC-1", "d05.data2_TCTGCCAAGCGCCTTG-1", "d05.data2_CGTGTCTCAGGTGTTT-1", "d05.data2_GGAGGATTCGGCTGAC-1", "d05.data2_ACAGGGAGTCGGTGTC-1", "d05.data2_GAACTGTCAGAACTAA-1", "d05.data2_ATTTCTGCATCCGGCA-1", "d05.data2_TCGAACATCAGACCGC-1", "d05.data2_GTGTTAGGTGGATCAG-1", "d05.data2_TGATCTTGTTTACTGG-1", "d05.data2_TCGGGCATCAGCGTCG-1", "d05.data2_ATTTCTGCATTATGCG-1", "d05.data2_TCATCCGAGTGCGTCC-1", "d05.data2_CGTGTCTTCACTTCTA-1", "d05.data2_GTCACTCCACTTTAGG-1", "d05.data2_TCGCAGGGTTGGGTAG-1", "d05.data2_CAAGCTATCGTAGTCA-1", "d05.data2_GTGTTAGTCGGCCAAC-1", "d05.data2_TTCGATTTCTTCGGAA-1", "d05.data2_AGACACTGTCTAGATC-1", "d05.data2_CGTGCTTCAAGAGTTA-1", "d05.data2_GTGAGTTAGTGTTCAC-1", "d05.data2_TCGACCTCAAAGAGTT-1", "d05.data2_CAGTTAGTCGGCTGTG-1", "d05.data2_TATTTCGAGATGGGCT-1", "d05.data2_GGGTTATAGGAAAGAC-1", "d05.data2_TCGTGGGGTAACACCT-1", "d05.data2_TATCTTGCACGTCGGT-1", "d05.data2_GTTACGAAGGGAGTGG-1", "d05.data2_GTCGCGAAGAGAATCT-1", "d05.data2_GTTACGAGTGATTGGG-1", "d05.data2_TCAAGCAGTAGCGTAG-1", "d05.data2_CGTGCTTCAGCTCATA-1", "d05.data2_CTATCTAGTGAATTAG-1", "d05.data2_ATGATCGGTCTGGTTA-1", "d05.data2_AGGTCATAGTATTCCG-1", "d05.data2_GTACAACAGCAAATCA-1", "d05.data2_GTCTACCTCAAGTCGT-1", "d05.data2_CATCGGGGTCAGTTTG-1", "d05.data2_AAAGGATCATGACGAG-1", "d05.data2_TCTATACGTTTAGAGA-1", "d05.data2_CTCCGATAGCCTGAAG-1", "d05.data2_TCGTAGATCAATCTTC-1", "d05.data2_GTAAGTCCAATCGAAA-1", "d05.data2_CTCTCGAGTCGCATCG-1", "d05.data2_CCGGGTAGTGATTAGA-1", "d05.data2_AGGGTCCCACAATGAA-1", "d05.data2_GATCATGTCACCTCAC-1", "d05.data2_GGGAGATAGAGCAGTC-1", "d05.data2_GTGGCGTCATATACCG-1", "d05.data2_TTAGGGTTCGGCATAT-1", "d05.data2_CAAGAGGTCATGCCAA-1", "d05.data2_TTAGTCTGTGACTAAA-1", "d05.data2_CCCATTGGTTCAAGTC-1", "d05.data2_GCTGGGTGTACGGCAA-1", "d05.data2_GAAATGAGTACAATAG-1", "d05.data2_CCCGGAATCTCTGACC-1", "d05.data2_AGTTAGCGTCGCAACC-1", "d05.data2_CGTTGGGGTGACGCCT-1", "d05.data2_CATCGGGGTTCGAACT-1", "d05.data2_TCGGGCAAGGGCAGAG-1", "d05.data2_CTGCAGGGTATGGAGC-1", "d05.data2_GTGTAACTCCGTAGGC-1", "d05.data2_CACAGGCTCGGCTCTT-1", "d05.data2_AGAGAGCTCTGCGTCT-1", "d05.data2_TACCTCGAGTCTAGCT-1", "d05.data2_AGTGTTGGTATGCGGA-1", "d05.data2_TGGGAAGTCTCGCCTA-1", "d05.data2_GTAACACGTTGGGTAG-1", "d05.data2_GTGAGGAAGACTTCGT-1", "d05.data2_CTGGCAGAGGGCAACT-1", "d05.data2_ATTCATCGTGCATGAG-1", "d05.data2_TCGGGTGGTCCACATA-1", "d05.data2_TACTGCCGTCGTATTG-1", "d05.data2_AATGGCTAGGGTTGCA-1", "d05.data2_AGTACTGCAGAGCTAG-1", "d05.data2_CCGTGAGAGCCAGAGT-1", "d05.data2_GTTGAACCATCGTGCG-1", "d05.data2_AGGGTTTAGGAGAGTA-1", "d05.data2_GGTGAAGAGTTGGGAC-1", "d05.data2_TGGAGAGTCGAGAAAT-1", "d05.data2_GGGTGTCCAGTAGAAT-1", "d05.data2_TGGGAAGTCCATCCGT-1", "d05.data2_TACGTCCGTGTGCCTG-1", "d05.data2_TCGACGGAGACAAGCC-1", "d05.data2_TGACGCGAGAGGCTGT-1", "d05.data2_CAGTTAGGTTCGGCGT-1", "d05.data2_ATTCAGGCAAGAATAC-1", "d05.data2_ATTCCTAGTAGCGTTT-1", "d05.data2_CTTCAATGTGTGCTTA-1", "d05.data2_GGGATGAAGTGTACCT-1", "d05.data2_TTACCATTCGAGTGAG-1", "d05.data2_TCAGTCCGTAGCGAGT-1", "d05.data2_GAATAGATCGCGGACT-1", "d05.data2_CATGCGGCAGATGCGA-1", "d05.data2_GTTGTAGCACGTGTGC-1", "d05.data2_GGAAGTGCAGGTCCCA-1", "d05.data2_ATCCTATAGTCGAAAT-1", "d05.data2_GTATTGGTCTGCGAGC-1", "d05.data2_GTCTACCGTATTGCCA-1", "d05.data2_TGGGAGATCGCAACAT-1", "d05.data2_CTGTGAAAGATTGGGC-1", "d05.data2_CGGGTGTTCCGGTAGC-1", "d05.data2_CATTCATTCGCAATTG-1", "d05.data2_GTTACGAAGAGCTGAC-1", "d05.data2_CCACAAAAGTGCGTCC-1", "d05.data2_TGGTGATGTGGCGCTT-1", "d05.data2_TCGAAGTCAGATTAAG-1", "d05.data2_AGTACTGTCATTGAGC-1", "d05.data2_GTGGAAGGTGCCCGTA-1", "d05.data2_ACCTGAACACGTTCGG-1", "d05.data2_AGGGTGAGTTAAGTCC-1", "d05.data2_TGTCAGACAAGAGAGA-1", "d05.data2_GATTGGTAGCGTCAGA-1", "d05.data2_GTAATGCAGTCCTGTA-1", "d05.data2_CACAGATCAGGCACTC-1", "d05.data2_CACGTGGGTATCCCTC-1", "d05.data2_GGGCTACGTGACAGGT-1", "d05.data2_CAGCCAGAGGATACGC-1", "d05.data2_CTTCGGTTCACTAGCA-1", "d05.data2_AGAGCAGAGCTGTCCG-1", "d05.data2_ACTGCAAAGCTAATGA-1", "d05.data2_TTCTGTAGTATGTCCA-1", "d05.data2_CTTCCGAGTGTCCACG-1", "d05.data2_AGAGCCCTCTGCATAG-1", "d05.data2_AAAGGTAAGCAGTCTT-1", "d05.data2_ATTCTACAGAGGACTC-1", "d05.data2_AAGCATCCACTTGTGA-1", "d05.data2_GGAAGTGCAAGGAGTC-1", "d05.data2_ACTTCGCGTCTTCTAT-1", "d05.data2_TATACCTGTGCTGTCG-1", "d05.data2_CTGAATGGTCGCGTCA-1", "d05.data2_TGCTCGTGTCACCACG-1", "d05.data2_CCCTCAATCTTCGATT-1", "d05.data2_TGTAGACAGGCTTTCA-1", "d05.data2_ATGGGTTGTGTCCGGT-1", "d05.data2_CGGGTCATCTTGGATG-1", "d05.data2_ACGATCATCGTCGCTT-1", "d05.data2_GGGACCTAGTAGGATT-1", "d05.data2_GATAGCTAGGGTAGCT-1", "d05.data2_TGGTTAGGTTAGTTCG-1", "d05.data2_TGCGACGAGGATAATC-1", "d05.data2_AGCCACGTCGTAGTGT-1", "d05.data2_GGTCACGCAACCGTGC-1", "d05.data2_CTCAACCGTTCGTACA-1", "d05.data2_CTGTAGAGTCTAACTG-1", "d05.data2_GAGTTGTGTCAGACGA-1", "d05.data2_GAGTGAGCACGCCAGT-1", "d05.data2_AGAAGTAAGAGCATAT-1", "d05.data2_TTGGATGTCGGATTAC-1", "d05.data2_TGGAGAGTCAGACTGT-1", "d05.data2_CATGCTCAGAGCCGTA-1", "d05.data2_CATACAGGTTACAGCT-1", "d05.data2_GAATCGTGTGTCTTGA-1", "d05.data2_TAGAGTCCAGAGAATT-1", "d05.data2_ACTTATCAGACTGAGC-1", "d05.data2_TCGGGACGTCGCATTA-1", "d05.data2_TAGGGTTAGACGCTCC-1", "d05.data2_GTAGATCAGGAAAGGT-1", "d05.data2_GATGTTGAGAGCATCG-1", "d05.data2_ACCCAAAAGTGTGTTC-1", "d05.data2_CAGTTCCCACGAAGAC-1", "d05.data2_GCGATCGGTATGTGTC-1", "d05.data2_GAACTGTAGCGTTCCG-1", "d05.data2_AGCATCACAGGAATAT-1", "d05.data2_CAACGATGTCGTCGGT-1", "d05.data2_GGCAGTCTCAGAGTTC-1", "d05.data2_TTACCGCGTGAGCCAA-1", "d05.data2_TGGGATTCAACCCTAA-1", "d05.data2_TTGGATGTCGTGGTAT-1", "d05.data2_GTTTGGACAATGAGCG-1", "d05.data2_AGGAATATCAAGATAG-1", "d05.data2_AAATGGAAGTGCTCAT-1", "d05.data2_ATCCGTCAGTTCCGTA-1", "d05.data2_ACTATTCCACTAGAGG-1", "d05.data2_GATAGCTAGTACGAGC-1", "d05.data2_CTACGGGGTCGTACTA-1", "d05.data2_TCTTAGTGTACAGGTG-1", "d05.data2_TCATGGATCGGCTTCT-1", "d05.data2_CAATGACGTCTGTCAA-1", "d05.data2_ACGGGTCGTCCTGGTG-1", "d05.data2_CCTATCGGTAGCACAG-1", "d05.data2_TAGGGTTAGCTGCCTG-1", "d05.data2_GTGAGGAGTAGATGTA-1", "d05.data2_TCCATCGGTTCTAACG-1", "d05.data2_ATCATTCAGTACGAGC-1", "d05.data2_ACGTAGTGTATCGCTA-1", "d05.data2_AGAGAATTCGGACAAG-1", "d05.data2_GTTAGTGCAACGTTAC-1", "d05.data2_AACAAAGAGCACTCAT-1", "d05.data2_GGTGGCTAGGAGCTGT-1", "d05.data2_TGGAGAGCAAGGTCGA-1", "d05.data2_CAGCAATTCCCATTTA-1", "d05.data2_ATCGTGATCTGCTAGA-1", "d05.data2_AGTTCGAGTAGGCTCC-1", "d05.data2_CTGTGGGTCATGCCAA-1", "d05.data2_AGAAATGAGAATTGTG-1", "d05.data2_GACCCAGTCGTTGTTT-1", "d05.data2_CATGGTAAGGGTTAAT-1", "d05.data2_GGGTAGAGTTCTTGTT-1", "d05.data2_GTTGCGGCATGGAGAC-1", "d05.data2_CTATCCGAGAATTCAG-1", "d05.data2_GGTAGAGTCCGAGGCT-1", "d05.data2_TGTTCATTCACTTGTT-1", "d05.data2_CAAGAGGTCCGTGACG-1", "d05.data2_GTGCTTCCAAGATGTA-1", "d05.data2_TGACAGTTCTCATAGG-1", "d05.data2_TCCATCGGTGAGACGT-1", "d05.data2_GGGACTCGTAATGTGA-1", "d05.data2_GTTTGGAAGATGTTAG-1", "d05.data2_TTCTTCCCATCGTCCT-1", "d05.data2_TCGTCCAGTACCCAGC-1", "d05.data2_CATGAGTAGTCTTCGA-1", "d05.data2_TAAGCCAGTCGCGTTG-1", "d05.data2_AGCTTCCCAGACTGCC-1", "d05.data2_GGTGATTCAAAGGATT-1", "d05.data2_TTCTTGAGTGTGTCCG-1", "d05.data2_ATGAGGGTCCGTACGG-1", "d05.data2_TAGGGTTTCAAGAGGC-1", "d05.data2_TCCGGGACAAGAGATT-1", "d05.data2_CCTATCGAGGCCTAGA-1", "d05.data2_CCGTTCATCATGCGGC-1", "d05.data2_CAATGACGTGATGAAT-1", "d05.data2_TCAGGTAGTCCTCATC-1", "d05.data2_ATGCCTCGTGGAGGTT-1", "d05.data2_CTCAGGGGTCACGACC-1", "d05.data2_AGAGAGCCATGGAGAC-1", "d05.data2_AGATGCTAGCTGCCAC-1", "d05.data2_CAGGTATTCTAGTACG-1", "d05.data2_AGTAGTCAGAATCGAT-1", "d05.data2_TATTGGGTCACCTGGG-1", "d05.data2_TACAACGAGCCTGAGA-1", "d05.data2_CTGTCGTCAACACGTT-1", "d05.data2_GGGTCTGGTGTGTGGA-1", "d05.data2_GATCACACAGTTAGGG-1", "d05.data2_CGCCAGATCGTCCTTG-1", "d05.data2_TAATTCCGTGGATCAG-1", "d05.data2_CATAAGCAGCGAACTG-1", "d05.data2_TTGCCTGTCGATAACC-1", "d05.data2_CTGAATGGTAAGATTG-1", "d05.data2_TTTGACTCATCGCCTT-1", "d05.data2_ATTTACCAGTTGAATG-1", "d05.data2_GTCATGAAGCATGTTC-1", "d05.data2_CTGTGAATCCACAGCG-1", "d05.data2_GAAATGAGTCGAGCAA-1", "d05.data2_GGTAATCCAATCGTCA-1", "d05.data2_ATAGAGAAGATCCCAT-1", "d05.data2_TAAGCGTCATTCTTCA-1", "d05.data2_GTGTTCCGTGTCTTGA-1", "d05.data2_TGTTTGTTCTCGCTCA-1", "d05.data2_CCCATTGCAAATGGTA-1", "d05.data2_AGTAGTCTCCTATTGT-1", "d05.data2_TGTAACGGTTCGAGCC-1", "d05.data2_AACCTTTAGTACCCTA-1", "d05.data2_GCCAGTGGTAATTAGG-1", "d05.data2_AGGGTTTCAGACCAAG-1", "d05.data2_CGTTGGGGTTTACCTT-1", "d05.data2_ACAACCATCGGATACT-1", "d05.data2_CGAAGTTTCGCCAGAC-1", "d05.data2_AATGACCGTCTGCCTT-1", "d05.data2_TAGGGTTTCGGCTATA-1", "d05.data2_CATACTTTCGCTGTCT-1", "d05.data2_TCATTACTCTGGGAGA-1", "d05.data2_GATAGAATCCCAAGTA-1", "d05.data2_CAGCGTGGTCTGATCA-1", "d05.data2_GGCTTGGTCAGGGTAG-1", "d05.data2_TCTTGCGGTAGTTAGA-1", "d05.data2_ATTCACTCATCATGAC-1", "d05.data2_CAATACGAGAGCAAGA-1", "d05.data2_TGACTCCCAGGAGGTT-1", "d05.data2_GGTGGCTGTCGAACAG-1", "d05.data2_CGGAACCCAGGAAGTC-1", "d05.data2_AGAAATGAGGACTATA-1", "d05.data2_GCACATAGTGGCTAGA-1", "d05.data2_TGTGAGTCAATACAGA-1", "d05.data2_GATTCGAGTCTTACTT-1", "d05.data2_GGGTATTCAGAGTCTT-1", "d05.data2_TTACCATAGGGTTAGC-1", "d05.data2_TGTTTGTGTTACGCCG-1", "d05.data2_ATTCTACGTCAGCGTC-1", "d05.data2_CCTCATGTCGTTGTGA-1", "d05.data2_CGCGTGATCGTAGAGG-1", "d05.data2_TACCCGTTCGTCGGGT-1", "d05.data2_TCAATTCTCAAATAGG-1", "d05.data2_AATCGTGCATCGAACT-1", "d05.data2_CCTTGTGCAGTATTCG-1", "d05.data2_CGTTGGGAGAACTTCC-1", "d05.data2_CCTGTTGCAGCACACC-1", "d05.data2_CAGTGCGGTCCAGTTA-1", "d05.data2_GAGTCTAGTAGATCCT-1", "d05.data2_CATAAGCTCGTAGGGA-1", "d05.data2_CACAGGCTCGTGGGTC-1", "d05.data2_GAATCGTTCAAGGCTT-1", "d05.data2_CCTACGTCAATACGCT-1", "d05.data2_AAATGGAAGGGTGAAA-1", "d05.data2_CCTATCGGTTTCACAG-1", "d05.data2_TTCATTGAGGTCACAG-1", "d05.data2_GTTGTGAAGACTTCCA-1", "d05.data2_GGTTGTATCGTGGAAG-1", "d05.data2_CTGGCAGGTACGATCT-1", "d05.data2_CGTCCATGTTCGATTG-1", "d05.data2_ATTATCCTCGTTAGAC-1", "d05.data2_CGGAGAAAGGTAGATT-1", "d05.data2_TCGCTTGAGACCCGCT-1", "d05.data2_AGCGTATTCGGATAAA-1", "d05.data2_TCGTAGACAGAAGCGT-1", "d05.data2_AGGAATAGTGAGACCA-1", "d05.data2_GTAGGAGTCACTGGGC-1", "d05.data2_CTCATGCAGGTTGGAC-1", "d05.data2_AACGGGAAGTCATACC-1", "d05.data2_CATAGACGTGATGTAA-1", "d05.data2_ACATCCCTCTCTTCAA-1", "d05.data2_TGCTTCGAGCTCGACC-1", "d05.data2_GAGACTTGTGGTCCGT-1", "d05.data2_AGGTAGGTCTTGCAGA-1", "d05.data2_CTTTCAATCAGGGATG-1", "d05.data2_TGATGGTCAGCGATTT-1", "d05.data2_AGTCAACAGACTTAAG-1", "d05.data2_TTCTTGAAGAGGCGTT-1", "d05.data2_GTCATGATCGAAGAAT-1", "d05.data2_CGAGTTAGTACTCGAT-1", "d05.data2_AGATGCTTCATTTGTC-1", "d05.data2_AAGTGAATCTAAGAAG-1", "d05.data2_GGCGTCAGTCGTACAT-1", "d05.data2_TCCACGTCAGTCGCTG-1", "d05.data2_TTGTTGTGTCGTGGTC-1", "d05.data2_CCGATCTCATGGGATG-1", "d05.data2_GGAGCAAGTTACGATC-1", "d05.data2_CTTGATTCATGAGTAA-1", "d05.data2_GATTGGTAGGTGATCG-1", "d05.data2_AGTAACCGTCGATGCC-1", "d05.data2_TACGGGCGTTGGTGTT-1", "d05.data2_TTGTGGAGTGCAAGAC-1", "d05.data2_CATCGCTAGCGACAGT-1", "d05.data2_CTATCTAGTAGACAGC-1", "d05.data2_GTGTGGCGTTCAAACC-1", "d05.data2_TCTTGCGTCCCGAGAC-1", "d05.data2_CTCGAGGGTAGGGAGG-1", "d05.data2_ACGGAAGTCGCCGATG-1", "d05.data2_GCTGAATAGAACAGGA-1", "d05.data2_CGTAATGCAGGCACAA-1", "d05.data2_TGTGAGTCACAGGATG-1", "d05.data2_TTCGGTCAGACTGTTC-1", "d05.data2_TCAGGGCTCCCTGTTG-1", "d05.data2_GTGGAGACAGCGCGTT-1", "d05.data2_GCTCAAAGTCTATGAC-1", "d05.data2_GTCGTAACATTGCTGA-1", "d05.data2_TATCTGTCACTAGGTT-1", "d05.data2_GGAGGATTCTACACAG-1", "d05.data2_GCTTTCGGTATAGGAT-1", "d05.data2_TGGCGTGAGGAGTCTG-1", "d05.data2_TCGGGTGTCCGAAATC-1", "d05.data2_GTTGCTCTCCCAGGCA-1", "d05.data2_TATGTTCAGTGATGGC-1", "d05.data2_GACCAATAGCGGCTCT-1", "d05.data2_GTGTGATGTGCGAACA-1", "d05.data2_GATCCCTAGAGTCGAC-1", "d05.data2_CTCATCGCAAGAGTGC-1", "d05.data2_CCTCACATCGTTGTAG-1", "d05.data2_TGTGTGAAGCGTTCCG-1", "d05.data2_AGCCACGGTCGCTGCA-1", "d05.data2_TAGACCAAGTATGGCG-1", "d05.data2_TGGAACTAGGCGTCCT-1", "d05.data2_GGTCACGGTAAGATTG-1", "d05.data2_CCTATCGCATCTCAAG-1", "d05.data2_CAAGCTAGTGCTCTTC-1", "d05.data2_TTGCTGCAGGCTAGCA-1", "d05.data2_TGGGTTATCCGAAATC-1", "d05.data2_ATGAGGGGTCGCGTTG-1", "d05.data2_AGTGACTAGCGGTATG-1", "d05.data2_GATGTTGAGGGTTAAT-1", "d05.data2_GACTGATCAGAGAAAG-1", "d05.data2_TGCGATAAGCTCGAAG-1", "d05.data2_TGACTCCCAGAGTTGG-1", "d05.data2_GGTTAACAGTTAGAAC-1", "d05.data2_ATGTCCCGTCCTGGTG-1", "d05.data2_AGGGTGAAGCGCCGTT-1", "d05.data2_TAGGTTGAGAGTCAGC-1", "d05.data2_TGAGGAGAGGGTGGGA-1", "d05.data2_TTCTGTATCAGGCGAA-1", "d05.data2_CATTCCGCACAGAGCA-1", "d05.data2_GAGTCATGTCTGTGGC-1", "d05.data2_ACTGTGATCCTACCAC-1", "d05.data2_TGTTTGTAGCAGTACG-1", "d05.data2_ATGGTTGTCAACACGT-1", "d05.data2_ATGGGTTTCATTTCCA-1", "d05.data2_AGGTTGTGTTACTCAG-1", "d05.data2_TAACTTCTCCGATGTA-1", "d05.data2_CAACCTCGTATCGTTG-1", "d05.data2_GTAAGTCAGTAGAATC-1", "d05.data2_AATGAAGTCCATTGCC-1", "d05.data2_AGTCATGCAGAGGAAA-1", "d05.data2_ATCAGGTAGCTGGTGA-1", "d05.data2_AGTTCCCAGCAACTCT-1", "d05.data2_TCCTAATTCAACGAGG-1", "d05.data2_TGCAGATCAGTCTTCC-1", "d05.data2_CCAATTTCACAACGAG-1", "d05.data2_ACACGCGGTGCCGAAA-1", "d05.data2_TTTCCTCAGGAAGAAC-1", "d05.data2_GCTACAAAGTGCACAG-1", "d05.data2_GAGGGTAGTCCACATA-1", "d05.data2_CTAACTTAGCTAAATG-1", "d05.data2_GAGTTTGCAGGTAGTG-1", "d05.data2_TCATACTAGTTGGACG-1", "d05.data2_TTCGATTAGAGTCAAT-1", "d05.data2_GCACTAAAGACCCGCT-1", "d05.data2_GGTGATTAGTAAGGGA-1", "d05.data2_AGAGAATTCGAGTCCG-1", "d05.data2_GGTTAACTCGTGTGAT-1", "d05.data2_CTGCGAGCACTGGCGT-1", "d05.data2_TCTCAGCCACTGGCCA-1", "d05.data2_ATCGTGAAGCGCACAA-1", "d05.data2_ATTCCCGCACAGTCGC-1", "d05.data2_GCCAGCAGTAGCGCTC-1", "d05.data2_TTTGGTTTCTGTAAGC-1", "d05.data2_TTGAGTGGTCACGTGC-1", "d05.data2_TCGCAGGTCTCAACCC-1", "d05.data2_CCTCACAGTTCGAGCC-1", "d05.data2_AGAGAGCTCGCCAGAC-1", "d05.data2_TCCAGAAAGGTCATAA-1", "d05.data2_ATTCTTGTCAAACTGC-1", "d05.data2_GTGAGGAAGAGTGTTA-1", "d05.data2_TGGAACTGTGAGCAGT-1", "d05.data2_TCGGGCACAAGAAATC-1", "d05.data2_TATTGGGCATACCATG-1", "d05.data2_TTTGTTGAGCCTGTCG-1", "d05.data2_CCAAGCGAGTACCATC-1", "d05.data2_GTCGTTCTCAAACCCA-1", "d05.data2_AACCCAAGTCGCAGTC-1", "d05.data2_GCTGGGTAGTAGCCAG-1", "d05.data2_TGGCGTGAGTGGCCTC-1", "d05.data2_TCTAACTGTACCTGTA-1", "d05.data2_CCCATTGTCGCAGAGA-1", "d05.data2_AGAAGTAAGTCATCGT-1", "d05.data2_GATCACATCGGCGATC-1", "d05.data2_TGTTTGTGTTCGGCCA-1", "d05.data2_GACCCAGTCTGGTTGA-1", "d05.data2_CGTAAGTTCACTGAAC-1", "d05.data2_CGTAATGGTCGGCTAC-1", "d05.data2_ACAGAAAAGGTAGGCT-1", "d05.data2_GCACGTGGTGACACGA-1", "d05.data2_ATCTCTAAGGGTTAAT-1", "d05.data2_ATATCCTAGGCCTTGC-1", "d05.data2_AGGAGGTAGTGTTCCA-1", "d05.data2_TCTGGCTCAACACGAG-1", "d05.data2_ACGTAACGTCTTGCTC-1", "d05.data2_AACAAAGAGTTCATCG-1", "d05.data2_ATCCCTGCAAAGCGTG-1", "d05.data2_TGAGGAGGTCCTACGG-1", "d05.data2_CCATAAGGTTGCATGT-1", "d05.data2_CTACCTGGTATCGGTT-1", "d05.data2_TTCCACGTCGACGAGA-1", "d05.data2_AGCGCTGAGCCACTCG-1", "d05.data2_GTGCACGAGACGTCCC-1", "d05.data2_CGAGGAATCACTTGGA-1", "d05.data2_CATCAAGAGTAATTGG-1", "d05.data2_ACGTCCTCAGCTTTCC-1", "d05.data2_GAAATGACAGCCTATA-1", "d05.data2_TTGCTGCGTGGGCTCT-1", "d05.data2_AACAAGACATAAGCAA-1", "d05.data2_ATGAGTCAGTGACACG-1", "d05.data2_TACCTGCGTTGAGGAC-1", "d05.data2_CTTACCGAGTAGCCAG-1", "d05.data2_TAGACCATCCGTGGGT-1", "d05.data2_TTTCGATTCGGAGTGA-1", "d05.data2_AGAGCCCGTATCTCTT-1", "d05.data2_TCGGGCATCGCAAGAG-1", "d05.data2_CCGAACGTCATTACGG-1", "d05.data2_GTGACGCAGTCATACC-1", "d05.data2_TTACTGTTCGCGCTGA-1", "d05.data2_TGTAACGAGGGATCAC-1", "d05.data2_CTTACCGGTCGACTTA-1", "d05.data2_GGAATGGCATGAAGCG-1", "d05.data2_CTTCGGTCAGTAGTGG-1", "d05.data2_AACAAGACAAGAATAC-1", "d05.data2_AGAAATGGTTGTGCAT-1", "d05.data2_TACATTCAGCGAGTAC-1", "d05.data2_TATCTGTGTCCAGCGT-1", "d05.data2_TCGGGTGCATAACCCA-1", "d05.data2_GTTCTATGTGGATACG-1", "d05.data2_TGGGATTTCGCCGAGT-1", "d05.data2_GCTTGGGCATACCATG-1", "d05.data2_TCGGTCTCAAATGATG-1", "d05.data2_TGAGGAGAGGCGAACT-1", "d05.data2_TATCTTGCAGAGTGAC-1", "d05.data2_AGCTACAGTAGGTACG-1", "d05.data2_GTTGCGGAGACATACA-1", "d05.data2_TGGGCGTGTTCTTGCC-1", "d05.data2_AGGTAGGGTAGCACGA-1", "d05.data2_TAAGCCACACACGCCA-1", "d05.data2_GACCAATCATAGGTTC-1", "d05.data2_TTTGGTTGTCGCATCG-1", "d05.data2_CTTGAGAGTCGAGATG-1", "d05.data2_AGTAGTCTCTGTCCGT-1", "d05.data2_ACCTGAACAGCGACCT-1", "d05.data2_GCATGATGTTCCGCGA-1", "d05.data2_CACGTGGAGAGGGTAA-1", "d05.data2_GTCGTTCCAACGTATC-1", "d05.data2_ACTTTGTCACCAAAGG-1", "d05.data2_CTATCCGAGGCATGCA-1", "d05.data2_GCCATGGGTGAATTGA-1", "d05.data2_CACTAAGTCTCTCTTC-1", "d05.data2_GGTTGTACAAAGCTCT-1", "d05.data2_AACCAACTCTCGGTAA-1", "d05.data2_AGGTTGTTCGCGCTGA-1", "d05.data2_GTTACCCGTAATGTGA-1", "d05.data2_CTCAATTCAACGACAG-1", "d05.data2_TCAGTTTTCGGACGTC-1", "d05.data2_CGGTCAGTCAGCTTCC-1", "d05.data2_ACGATCAAGATGCAGC-1", "d05.data2_ATGCGATGTCTCTCCA-1", "d05.data2_TGTGGCGAGGTAATCA-1", "d05.data2_TGCAGGCGTTCTGACA-1", "d05.data2_AGTTCGACAGGTTCAT-1", "d05.data2_GATGGAGTCTTCGTAT-1", "d05.data2_GGAATGGCATTGTCGA-1", "d05.data2_AGGGCCTCAACCAATC-1", "d05.data2_TATACCTGTTGGCCGT-1", "d05.data2_AAGTTCGGTGCACATT-1", "d05.data2_TTCGCTGGTAGTCGTT-1", "d05.data2_ATTCGTTGTGTCCACG-1", "d05.data2_ATCGTGAGTTATTCTC-1", "d05.data2_ACGCACGAGTCACAGG-1", "d05.data2_ACAGGGACATTGTCGA-1", "d05.data2_CGACAGCTCCGCTAGG-1", "d05.data2_AGGTAGGGTGACAGCA-1", "d05.data2_TGACGCGCAGCGTAGA-1", "d05.data2_ACATTTCGTTTGAACC-1", "d05.data2_ACGATCAAGTTCCGGC-1", "d05.data2_TTGTTCACACGCGGTT-1", "d05.data2_TAGACTGAGACCAACG-1", "d05.data2_CCTGCATAGGTCTGGA-1", "d05.data2_GTGGCGTGTGCGGCTT-1", "d05.data2_AATCACGCATTCCTCG-1", "d05.data2_TTGTTTGTCTGTTGGA-1", "d05.data2_ATGGTTGAGCATCAAA-1", "d05.data2_CAGGTATGTCTGTGCG-1", "d05.data2_TCCTTTCTCACATTGG-1", "d05.data2_TACGCTCCACTTACAG-1", "d05.data2_AAAGGTAAGACAACAT-1", "d05.data2_ACTGCAATCGATACAC-1", "d05.data2_GTTACGACATGCACTA-1", "d05.data2_CCTACGTAGCGGATCA-1", "d05.data2_GGCAGTCAGTCTTCCC-1", "d05.data2_ACTATTCGTGCGTTTA-1", "d05.data2_TGCGACGAGACCTTTG-1", "d05.data2_CCTCACAAGGAAACGA-1", "d05.data2_TACCTCGGTGGAGGTT-1", "d05.data2_TCAGTTTGTTGGGACA-1", "d05.data2_AATGAAGAGAGTGTTA-1", "d05.data2_AGTTAGCCAAAGACTA-1", "d05.data2_CTGATCCTCGAAGCAG-1", "d05.data2_TGATCTTGTACGTGAG-1", "d05.data2_GTCATCCCATCGAAGG-1", "d05.data2_GGTAACTCAGGACATG-1", "d05.data2_TTCTTGATCTTCGACC-1", "d05.data2_GTTGCGGAGCTCCACG-1", "d05.data2_GAGTCTAGTCGTTGCG-1", "d05.data2_TGCAGTAGTATATGGA-1", "d05.data2_ACTCTCGAGATTGTGA-1", "d05.data2_TCAGTTTAGCTGACCC-1", "d05.data2_ACCTGAAAGGCCTTCG-1", "d05.data2_CACATGATCACTGGTA-1", "d05.data2_TACCGAAAGAATAGTC-1", "d05.data2_GCTGAATCAGCTGGTC-1", "d05.data2_CATTGAGTCACTTCTA-1", "d05.data2_TCAGCAAAGCTGTGCC-1", "d05.data2_AGCTCAATCAGCCCAG-1", "d05.data2_CAACAGTGTCCTGGGT-1", "d05.data2_GAAGGGTGTCCCTCAT-1", "d05.data2_GCTGGGTGTCGTCATA-1", "d05.data2_TCTTCCTTCTGTGCGG-1", "d05.data2_CCACGTTGTTGGTGTT-1", "d05.data2_CCGTAGGCAGTGTGGA-1", "d05.data2_TGGTAGTTCCCTCGTA-1", "d05.data2_AGGAATAAGCTATCTG-1", "d05.data2_ATTCTTGGTGGTCTAT-1", "d05.data2_GATCCCTGTGAAGCTG-1", "d05.data2_TGCGGCATCTTCGTGC-1", "d05.data2_GAGTTGTTCGAGATGG-1", "d05.data2_CGAGGCTGTGAGCCAA-1", "d05.data2_GATGTTGGTAAGGCTG-1", "d05.data2_CTCAACCAGGTACAGC-1", "d05.data2_CGAGTTAAGCCTCTGG-1", "d05.data2_CATGCAAGTTCGGGTC-1", "d05.data2_TGGCGTGGTTATGACC-1", "d05.data2_CTAGGTAGTATCGTAC-1", "d05.data2_TTCATTGTCGGATAAA-1", "d05.data2_ACAGAAATCCGATAAC-1", "d05.data2_GTAGTACAGCATGATA-1", "d05.data2_TGGGTTACATCGCTAA-1", "d05.data2_CCTCTAGGTGGATTTC-1", "d05.data2_TATTGGGGTCTAGGTT-1", "d05.data2_CGGGACTTCCGTGTCT-1", "d05.data2_CTGTGAAAGTGATGGC-1", "d05.data2_ACTTATCGTCACGTGC-1", "d05.data2_TCTCAGCGTAGCTAAA-1", "d05.data2_CACCAAAAGTTTGTCG-1", "d05.data2_AGCTTCCGTCAATGGG-1", "d05.data2_CATTGTTGTCACAGAG-1", "d05.data2_AGTTAGCTCTATGTGG-1", "d05.data2_ACTCCCACATCCTTCG-1", "d05.data2_ACGGGTCAGGCATCTT-1", "d05.data2_ACCTGAAGTGGACCAA-1", "d05.data2_CGAGAAGGTAGCTTGT-1", "d05.data2_CATTGCCAGGCCTAGA-1", "d05.data2_AATGGAAAGTAGGCCA-1", "d05.data2_TTTACCAAGGTGCAGT-1", "d05.data2_AGATCCATCTCGGTCT-1", "d05.data2_AGCCAGCGTAGTCCTA-1", "d05.data2_TGTCAGACATCCGGCA-1", "d05.data2_GGGATCCCAATGTCAC-1", "d05.data2_GCATCTCGTCTGTGCG-1", "d05.data2_GATGTTGCATATGCGT-1", "d05.data2_GACCTTCAGACTACCT-1", "d05.data2_TCCATCGAGTGGACTG-1", "d05.data2_ATGAGGGTCGAACTCA-1", "d05.data2_TAAGCCAAGACTACGG-1", "d05.data2_TGTGCGGAGTAAATGC-1", "d05.data2_GTCGCGATCCATAGGT-1", "d05.data2_CTGGTCTGTACTCCGG-1", "d05.data2_AGTAACCGTTTGCAGT-1", "d05.data2_AACCTTTCATGCACTA-1", "d05.data2_GAGGGATTCTGCGATA-1", "d05.data2_GTCCACTTCCGTATGA-1", "d05.data2_GGTGTCGCATATACCG-1", "d05.data2_GTTCATTTCAATGTCG-1", "d05.data2_GACCGTGTCTTTGGAG-1", "d05.data2_AGGATAAGTCGATGCC-1", "d05.data2_ACATGCAGTGAGACCA-1", "d05.data2_CGGGTCAGTTGGATCT-1", "d05.data2_TTTCGATGTCAGTCGC-1", "d05.data2_CACTAAGGTTCGTAAC-1", "d05.data2_CGGACACGTTATGACC-1", "d05.data2_TGTAAGCCACAATTCG-1", "d05.data2_GTTAGTGTCTTGGTGA-1", "d05.data2_TTGGTTTTCGAATGCT-1", "d05.data2_CCACCATCATCTGCGG-1", "d05.data2_CAGTTCCCAAATGGAT-1", "d05.data2_GGCTTTCCATATCGGT-1", "d05.data2_TCTGGCTGTAAGCAAT-1", "d05.data2_CTCTCAGTCGGTCACG-1", "d05.data2_GGGACAAAGGTGGTTG-1", "d05.data2_GGAGATGCATCCGTTC-1", "d05.data2_TGCGATACATGTGGTT-1", "d05.data2_CCTCATGGTCCTACGG-1", "d05.data2_GTCATCCGTGTAACGG-1", "d05.data2_AGTGTTGAGAAACTAC-1", "d05.data2_TCAGTTTGTCTGTCCT-1", "d05.data2_CACGTTCGTGTCTTCC-1", "d05.data2_GCAACCGTCGGATTAC-1", "d05.data2_GACAGCCCACGTCATA-1", "d05.data2_TCCCAGTAGGTGCTAG-1", "d05.data2_TTACGTTAGATGGCGT-1", "d05.data2_AGAAATGGTTGTGCCG-1", "d05.data2_CACGTTCAGTCCCGGT-1", "d05.data2_AGGGTCCAGCGACAGT-1", "d05.data2_CATCCGTAGATCGACG-1", "d05.data2_ATGGGAGCAGCCCAGT-1", "d05.data2_TTCATTGGTGAGGATC-1", "d05.data2_TACCTGCCATCACAGT-1", "d05.data2_TGACCCTGTTTACTGG-1", "d05.data2_CGTTGGGGTTCTCAGA-1", "d05.data2_CGAGGAAGTAGTCCTA-1", "d05.data2_CCAATGACACACAGAG-1", "d05.data2_TCAAGTGCAAGGGCAT-1", "d05.data2_GCACATACAACCGCCA-1", "d05.data2_AGTGCCGGTGTCGATT-1", "d05.data2_TCCTTCTTCACCCATC-1", "d05.data2_ATACCTTAGCTGCCTG-1", "d05.data2_TATTTCGTCCACGGGT-1", "d05.data2_ACATTTCCACATACTG-1", "d05.data2_TCGACGGCAGAGAATT-1", "d05.data2_GGGTTTAAGCGTGCCT-1", "d05.data2_TTGTTTGAGAAAGCGA-1", "d05.data2_AGCGCTGCAAGACCGA-1", "d05.data2_TCATTACAGAGTGAAG-1", "d05.data2_CTGAATGTCTCCATAT-1", "d05.data2_TGTTTGTCATTGTCGA-1", "d05.data2_GGGTCTGCAGAGGTTG-1", "d05.data2_GTAAGTCCAAGTTTGC-1", "d05.data2_TTAGGGTAGGCCCAAA-1", "d05.data2_GAGTTACAGTGCAACG-1", "d05.data2_CATAGACCAGAGTAAT-1", "d05.data2_GTTAGACAGATAGTCA-1", "d05.data2_CTGCAGGCAATTGTGC-1", "d05.data2_CACAGATGTTGCACGC-1", "d05.data2_GCTGAATAGTGGAATT-1", "d05.data2_TTTCACACAATCTGCA-1", "d05.data2_TCGCTTGGTAACATAG-1", "d05.data2_GAGTTACTCGGCTATA-1", "d05.data2_CTTGATTCAGAGTCAG-1", "d05.data2_ATGCATGCATATGCGT-1", "d05.data2_GATAGCTAGCTCTTCC-1", "d05.data2_ACATCCCTCAGCTAGT-1", "d05.data2_GCATTAGAGCCGAATG-1", "d05.data2_CACTGTCGTACTGGGA-1", "d05.data2_CTCCAACGTCTTGCTC-1", "d05.data2_CCCTGATTCACCGCTT-1", "d05.data2_TTTGATCGTGCCAAGA-1", "d05.data2_ATTCCATGTGAGCGAT-1", "d05.data2_GTTTACTGTTGTCTAG-1", "d05.data2_CCATCACGTATAATGG-1", "d05.data2_GAGTCTAGTAAGATCA-1", "d05.data2_TCGTCCAAGGCTGGAT-1", "d05.data2_CTGGCAGGTCGCACAC-1", "d05.data2_TTGTTGTCAGTCGTTA-1", "d05.data2_GACGCTGTCTGCCTGT-1", "d05.data2_GAGGGATCAGTCAACT-1", "d05.data2_GCACGTGCAGCCGTTG-1", "d05.data2_CCACTTGTCCAACTAG-1", "d05.data2_GTTCGCTGTTCGAGCC-1", "d05.data2_AACGTCAGTCTAACTG-1", "d05.data2_CTGGTCTGTTGCCTAA-1", "d05.data2_CATTCCGCAATCGAAA-1", "d05.data2_GATTTCTGTCCGGTCA-1", "d05.data2_GCATTAGGTCACAATC-1", "d05.data2_GTCATGAAGAGAATCT-1", "d05.data2_CGAGTTATCTGCGGGT-1", "d05.data2_AGCGTATCAGGTATGG-1", "d05.data2_TAACACGCATCGCTAA-1", "d05.data2_TTGTTCAGTATACCCA-1", "d05.data2_TTTCAGTGTGCATCTA-1", "d05.data2_AGACTCAAGCCATCCG-1", "d05.data2_TTCTCTCTCTTCCCGA-1", "d05.data2_CTCTGGTTCGTAGTCA-1", "d05.data2_ATACCGACAGGGATAC-1", "d05.data2_GCATGATAGATGTAGT-1", "d05.data2_TGCAGATCAATCTAGC-1", "d05.data2_GTTAGTGCACTCAGAT-1", "d05.data2_GGTAGAGAGCCATTTG-1", "d05.data2_TTCTAACTCCGTGACG-1", "d05.data2_CTGCATCCACGTCATA-1", "d05.data2_TGATCAGCACCCAACG-1", "d05.data2_ATCTCTATCCATATGG-1", "d05.data2_AAATGGAGTAATCAGA-1", "d05.data2_TTGCTGCAGATCCGAG-1", "d05.data2_CCTCCAAGTGGCGTAA-1", "d05.data2_GGAATGGTCGGCTGGT-1", "d05.data2_GTCGCGAGTAGCACAG-1", "d05.data2_TACCGAATCATGCAGT-1", "d05.data2_TCCTTTCGTCCATCTC-1", "d05.data2_ATATCCTAGGCTTCCG-1", "d05.data2_GCAACATGTGCTCGTG-1", "d05.data2_CATGCTCTCTCCGAGG-1", "d05.data2_CTCATTAAGACCGTTT-1", "d05.data2_TTGTGGAAGGTAGATT-1", "d05.data2_CTTGATTTCGATACAC-1", "d05.data2_TCGCTTGAGTGCTCGC-1", "d05.data2_CTGTGGGAGCTGTTAC-1", "d05.data2_AGGGTCCCAGAGGAAA-1", "d05.data2_TCCTAATCACGCGTCA-1", "d05.data2_GATGTTGCAACAGATA-1", "d05.data2_CTTACCGCATGATCTG-1", "d05.data2_TACCTCGGTTGGGATG-1", "d05.data2_GTTGCTCTCGACCAAT-1", "d05.data2_TGTTACTTCATCCTGC-1", "d05.data2_CTTTCAATCGGACTGC-1", "d05.data2_TATTCCAAGATGAATC-1", "d05.data2_CCTAACCTCTCCAATT-1", "d05.data2_TGCATGAGTTGGCCTG-1", "d05.data2_AACCAACAGACCTGGA-1", "d05.data2_ATGGGTTGTACTCCGG-1", "d05.data2_CGCCATTCATGAAAGT-1", "d05.data2_TGTCCACAGTAGTGCG-1", "d05.data2_CATTGTTGTTCAGCGC-1", "d05.data2_CAGGGCTAGCGATGAC-1", "d05.data2_TCTAACTGTATATGGA-1", "d05.data2_CCCGGAACAGACCGCT-1", "d05.data2_TTCTCTCAGGTGAGCT-1", "d05.data2_TGCGGCAGTGTCATGT-1", "d05.data2_AATTCCTTCTATCCAT-1", "d05.data2_TGCATGAAGTGTTCAC-1", "d05.data2_TATATCCTCTCATGCC-1", "d05.data2_GTCAAACGTGTAAACA-1", "d05.data2_GATTCTTAGGCTCAAG-1", "d05.data2_CGCGTGATCAGTGTTG-1", "d05.data2_TACAACGCAGAGTCTT-1", "d05.data2_GACCGTGAGAAGCCTG-1", "d05.data2_CCGGACAAGTGCGCTC-1", "d05.data2_CGGGCATGTGATTAGA-1", "d05.data2_GTCATGATCGCCAGTG-1", "d05.data2_ACTGATGGTTGGAGGT-1", "d05.data2_TATTGGGGTTGCTCGG-1", "d05.data2_GCGTGCAAGTCAGCGA-1", "d05.data2_CACCAAACAGCAAGAC-1", "d05.data2_TTCACGCAGATTCGCT-1", "d05.data2_CGGGACTCACACTTAG-1", "d05.data2_GGGACCTGTCGAACGA-1", "d05.data2_CTTACCGCAGCCGGTT-1", "d05.data2_CCTATCGTCAGGGATG-1", "d05.data2_GCGAGAACAGTCGTTA-1", "d05.data2_GTGATGTGTTGGACCC-1", "d05.data2_TCCAGAACAGACTCTA-1", "d05.data2_CTTGAGAGTTCTTAGG-1", "d05.data2_TGTGGCGGTGCAGTGA-1", "d05.data2_TAATTCCCATCGAGCC-1", "d05.data2_AGTGATCGTATGAAAC-1", "d05.data2_GAGTGTTGTGTCCCTT-1", "d05.data2_TCGGATAGTCGTTGGC-1", "d05.data2_TCCACGTTCGGCATCG-1", "d05.data2_TGAATGCCAAAGGCTG-1", "d05.data2_ATCAGGTAGCGTGAAC-1", "d05.data2_CGAAGGAAGTTGAAAC-1", "d05.data2_CCACACTTCACAGTGT-1", "d05.data2_TACACCCTCATACAGC-1", "d05.data2_AGGGTCCCATGACGTT-1", "d05.data2_GGGTAGAAGGTTATAG-1", "d05.data2_GAACACTAGCACCGTC-1", "d05.data2_AGTAACCTCATTCGGA-1", "d05.data2_GATTGGTAGCAGTACG-1", "d05.data2_ATTACTCAGTTCTACG-1", "d05.data2_TCCCATGGTATTTCTC-1", "d05.data2_GCATCTCGTATTCCTT-1", "d05.data2_CCACGTTCAAGCGCTC-1", "d05.data2_TTCTCTCCATAATGCC-1", "d05.data2_TATCTGTCACAGTCAT-1", "d05.data2_CATGAGTAGACGCCAA-1", "d05.data2_GGTAGAGCACTCCTTG-1", "d05.data2_CTGTCGTTCTAGAGCT-1", "d05.data2_CTCAAGAGTAGATCCT-1", "d05.data2_GTATTGGTCATGAGGG-1", "d05.data2_ATTACTCGTACAATAG-1", "d05.data2_ACACTGAGTTGTACGT-1", "d05.data2_ATCGGATTCTGTTCAT-1", "d05.data2_TGTTACTAGCACTCCG-1", "d05.data2_TGTGGCGGTCAGATTC-1", "d05.data2_ATTACCTAGGTATCTC-1", "d05.data2_GGTCTGGTCAGGAGAC-1", "d05.data2_CCGTTCATCACTCGAA-1", "d05.data2_GACTCAATCTTGGGCG-1", "d05.data2_TGATTCTAGGCGACAT-1", "d05.data2_AACACACGTATACCCA-1", "d05.data2_CACGTGGGTTACGCCG-1", "d05.data2_CAATGACCACAAGCTT-1", "d05.data2_CCACAAAAGCATGGGT-1", "d05.data2_CTCCTTTTCAAAGCCT-1", "d05.data2_AAGTTCGGTGAGTCAG-1", "d05.data2_CTAACTTCAGTCAGCC-1", "d05.data2_TCCAGAACATTAGGAA-1", "d05.data2_TGTAACGAGCACTCGC-1", "d05.data2_ATCCACCCATAGGTTC-1", "d05.data2_CAATACGGTCATCGCG-1", "d05.data2_GACTGATAGGACAGCT-1", "d05.data2_CCAATGAAGCCGAATG-1", "d05.data2_GCGAGAAGTAGTGCGA-1", "d05.data2_GTTACGAGTTCCACAA-1", "d05.data2_CGAGTTACAGGTCCGT-1", "d05.data2_CAGAGCCGTAGCACAG-1", "d05.data2_CCTCTAGGTAGGGAGG-1", "d05.data2_CTGGACGGTCAGTCCG-1", "d05.data2_CTCCCTCTCCTTATGT-1", "d05.data2_ATGAGGGTCAGTGGGA-1", "d05.data2_GTCGAATTCCAATCCC-1", "d05.data2_ACGTTCCGTGAGCTCC-1", "d05.data2_AGTACCAAGATCCCAT-1", "d05.data2_TTACTGTCACCTGATA-1", "d05.data2_GATTTCTGTGTGATGG-1", "d05.data2_TCCACCACATCGGTTA-1", "d05.data2_CCACAAATCACTCTTA-1", "d05.data2_GTCTTTAGTTCTATCT-1", "d05.data2_ACTTCGCGTACGCTAT-1", "d05.data2_GTGGAGACACGTAGTT-1", "d05.data2_GCCAGCAAGTGCACTT-1", "d05.data2_ACCTGTCCAGGGATAC-1", "d05.data2_GTTAGACAGTAGGATT-1", "d05.data2_ACGGAAGGTAGGTGCA-1", "d05.data2_AACAGGGAGGACTATA-1", "d05.data2_TAGACTGCACCTTCGT-1", "d05.data2_AGGGCTCAGTCTGCGC-1", "d05.data2_TACTTGTTCCGATCTC-1", "d05.data2_TTTGACTGTATGGAAT-1", "d05.data2_ATAGGCTCAAGTCCCG-1", "d05.data2_TCTTGCGAGGCGAAGG-1", "d05.data2_TCCATGCAGTGCGACA-1", "d05.data2_ACCATTTCAGTTCCAA-1", "d05.data2_GGGTCTGGTCAGTTTG-1", "d05.data2_CTGTGGGTCTGCAGCG-1", "d05.data2_ACGATGTCAGCTCTGG-1", "d05.data2_TGTCCCACATGTACGT-1", "d05.data2_GCTGGGTAGACACACG-1", "d05.data2_ACTATCTGTGCTCCGA-1", "d05.data2_ATTCTTGCAAGTTGGG-1", "d05.data2_TTGCTGCTCGCAGAGA-1", "d05.data2_AGTCATGTCTTCGCTG-1", "d05.data2_CATTGCCTCGCCAATA-1", "d05.data2_CTCACTGGTTCGGCTG-1", "d05.data2_CCTGCATCATCCCGTT-1", "d05.data2_ATTCCCGAGTGACCTT-1", "d05.data2_AGATCCAGTTGCATTG-1", "d05.data2_TCATTCAGTGGAGGTT-1", "d05.data2_ATTACTCCATCCCGTT-1", "d05.data2_TACTTGTTCGTGCGAC-1", "d05.data2_GATCGTACATTGCTTT-1", "d05.data2_ACTGTCCGTTAACCTG-1", "d05.data2_GGCTGTGCAGCGTAGA-1", "d05.data2_TGGGAAGGTCGCGTCA-1", "d05.data2_AACCATGGTTACCTTT-1", "d05.data2_GCGGATCCAGGAGGTT-1", "d05.data2_AATAGAGTCATCCTAT-1", "d05.data2_ACAAGCTAGGAGGTTC-1", "d05.data2_TTGACCCTCATGGGAG-1", "d05.data2_CCATAAGAGGCATCGA-1", "d05.data2_GGCACGTAGTCAAGCG-1", "d05.data2_GCTACAACAGTCAGCC-1", "d05.data2_ACCCTTGGTGATAGAT-1", "d05.data2_GAAATGATCTCCACTG-1", "d05.data2_TGTTGGAAGAGTCACG-1", "d05.data2_GATAGCTTCTACGGGC-1", "d05.data2_CCTCACACAATAGTAG-1", "d05.data2_AAACGCTCAACGAGGT-1", "d05.data2_GGTTGTATCAACCTTT-1", "d05.data2_CAATGACCACGACGTC-1", "d05.data2_TGCTTGCGTCATATGC-1", "d05.data2_GTGTGGCTCGTTAGTG-1", "d05.data2_ATGGTTGAGTAGTCCT-1", "d05.data2_GATTGGTAGGTCTGGA-1", "d05.data2_AGGGCCTGTCCGGATC-1", "d05.data2_CTGTGGGAGCTCGTGC-1", "d05.data2_AGCGCCAAGGAGTCTG-1", "d05.data2_CAACGGCTCTTGTGCC-1", "d05.data2_TATGTTCGTGGCACTC-1", "d05.data2_GAGAGGTCACAAATGA-1", "d05.data2_TCGACCTTCCGTAATG-1", "d05.data2_AGACAGGCACTCATAG-1", "d05.data2_TAACTTCCAACGCCCA-1", "d05.data2_TGGGCTGAGGGCGAAG-1", "d05.data2_ATGGAGGCACGTGAGA-1", "d05.data2_AAACGAAGTGACACGA-1", "d05.data2_ATGGTTGCAACGGTAG-1", "d05.data2_TCCGATCCACAGTCCG-1", "d05.data2_TAGGAGGCACTTCATT-1", "d05.data2_TGCGACGAGTCTTCGA-1", "d05.data2_GTAAGTCAGCGACTGA-1", "d05.data2_AGATCGTAGCACCGAA-1", "d05.data2_TTGCGTCCAGCATGCC-1", "d05.data2_TTGCGTCTCCGTTGAA-1", "d05.data2_TCATTTGCAGTCGCTG-1", "d05.data2_CGCGTGAGTTCGAAGG-1", "d05.data2_CTAAGTGTCCAACTGA-1", "d05.data2_TTGTTGTAGTTAGTGA-1", "d05.data2_GAGGGATTCGTTCCCA-1", "d05.data2_TGTTCTAAGCACCGTC-1", "d05.data2_TGGGCTGGTTGCTCAA-1", "d05.data2_TGCATCCGTTGACGGA-1", "d05.data2_GAGACCCTCCACTAGA-1", "d05.data2_ATCCCTGAGGCACCAA-1", "d05.data2_CTGTCGTCATGGGAAC-1", "d05.data2_GGGTATTAGCACCCAC-1", "d05.data2_TCATTCAGTCAACCTA-1", "d05.data2_AGGTCTACATACAGGG-1", "d05.data2_ATGGGTTCAAGATCCT-1", "d05.data2_CCTCAGTCAACAGCTT-1", "d05.data2_TGGGTTAGTAACTTCG-1", "d05.data2_ACCGTTCCATGGGATG-1", "d05.data2_TTCCAATGTCTAACGT-1", "d05.data2_TGGTTAGCAGGCTATT-1", "d05.data2_CACGTGGAGTACTGTC-1", "d05.data2_TCGCTCAGTATGTGTC-1", "d05.data2_CTCATTAGTAGTGGCA-1", "d05.data2_TTTCGATAGGCAGCTA-1", "d05.data2_ATGAAAGTCCCAAGTA-1", "d05.data2_AATCGACTCCACGTCT-1", "d05.data2_ACATCCCGTGGATCGA-1", "d05.data2_GTTCTATTCGCTGCGA-1", "d05.data2_TCGTCCAAGTGAGGCT-1", "d05.data2_TACGGTATCCGGCAGT-1", "d05.data2_CAGATCAGTATGTCTG-1", "d05.data2_CGTGAATGTCGTTATG-1", "d05.data2_GAATCACGTGATACCT-1", "d05.data2_GGTGATTAGCCATATC-1", "d05.data2_AGGCCACAGCCATGCC-1", "d05.data2_ATTGTTCCAGACACAG-1", "d05.data2_CAGTTCCTCTCTTCAA-1", "d05.data2_TCAGGGCGTAAGACCG-1", "d05.data2_GTTGAACCACCAGACC-1", "d05.data2_GTTCTATAGTAATACG-1", "d05.data2_CCACACTGTCGTTATG-1", "d05.data2_GAGTGAGTCAGAGTGG-1", "d05.data2_GGCTTTCCACCAGTTA-1", "d05.data2_AAGTCGTCAGGTTCAT-1", "d05.data2_AAAGGATAGCCTGTCG-1", "d05.data2_TTCCGGTAGGACGCTA-1", "d05.data2_AGGACGATCATTCGGA-1", "d05.data2_AGGATAACATGGAGAC-1", "d05.data2_CAGTGCGCATCTATCT-1", "d05.data2_TGGGATTTCGGCCCAA-1", "d05.data2_TATACCTCACAAACGG-1", "d05.data2_CAACGATCACATGGTT-1", "d05.data2_GGAGCAAAGCCATTCA-1", "d05.data2_CCTCTCCTCGGCGATC-1", "d05.data2_TTTAGTCTCGGCCAAC-1", "d05.data2_TTAGGCAGTTCTAAGC-1", "d05.data2_ATTTCTGGTTATGACC-1", "d05.data2_ACCTGTCGTCGTTGGC-1", "d05.data2_CCTGTTGGTTCGTAAC-1", "d05.data2_GAGCCTGTCTACCAGA-1", "d05.data2_AACGTCAAGTCGGCCT-1", "d05.data2_AGGATAATCCATCACC-1", "d05.data2_CAGCAATTCATGCCCT-1", "d05.data2_GTAGATCAGCGGACAT-1", "d05.data2_ATCCGTCTCGAAGCAG-1", "d05.data2_TTTGGTTTCCCATACC-1", "d05.data2_ACGTTCCGTACATTGC-1", "d05.data2_GTAAGTCCACCCTCTA-1", "d05.data2_GATGACTTCCATACAG-1", "d05.data2_CCACACTTCTCCGTGT-1", "d05.data2_ATTTACCTCGCCTATC-1", "d05.data2_TGGGATTAGGCTTAGG-1", "d05.data2_TTCTAACAGATCGCTT-1", "d05.data2_GTGTTAGTCACGATCA-1", "d05.data2_CCAAGCGGTAACAGGC-1", "d05.data2_GCCAGCAGTGTGTCCG-1", "d05.data2_CTACCCATCGGCTGTG-1", "d05.data2_ACTATCTTCATGAGTC-1", "d05.data2_ACTTTCATCAATCAGC-1", "d05.data2_CAACGGCCAATGGCCC-1", "d05.data2_CAAAGAAGTCTAGGTT-1", "d05.data2_CTTCCGAAGGTTCAGG-1", "d05.data2_CCATCACCAACATACC-1", "d05.data2_TAACGACAGGACTGGT-1", "d05.data2_GCGTGCATCGCGGACT-1", "d05.data2_CTCATTAAGAGGCGTT-1", "d05.data2_ATGAGGGGTTAGGGTG-1", "d05.data2_TTGATGGCAGGCGAAT-1", "d05.data2_GATTCGATCTTACCGC-1", "d05.data2_CCCTAACTCTTCCGTG-1", "d05.data2_TCGGTCTTCCGATCGG-1", "d05.data2_CTCCGATTCGGAAGGT-1", "d05.data2_CAACGGCAGCACCAGA-1", "d05.data2_TTCTGTAAGAAATGGG-1", "d05.data2_TTTGGTTCAGTCTCTC-1", "d05.data2_CAAGGGATCGCCAACG-1", "d05.data2_AGAGCAGCAAACTAGA-1", "d05.data2_CGTTGGGTCTATCGGA-1", "d05.data2_ACTGCAACAGGTCTCG-1", "d05.data2_CGAGGAACAGAGGGTT-1", "d05.data2_CATGAGTGTCTCTCAC-1", "d05.data2_CAGTGCGCAGCGATTT-1", "d05.data2_CTCCGATTCTGTAAGC-1", "d05.data2_TGAACGTGTAATGCTC-1", "d05.data2_AAACGCTGTTAGAGAT-1", "d05.data2_AGTACCACAGTGTGGA-1", "d05.data2_GTCACGGCATCTTTCA-1", "d05.data2_CTGTATTTCCGTTTCG-1", "d05.data2_CTACCCAGTTTCGTTT-1", "d05.data2_AAAGGGCCACAGTGAG-1", "d05.data2_CAGATACGTGTGCTTA-1", "d05.data2_GAGATGGGTCCAAATC-1", "d05.data2_GCGAGAAGTACCCGCA-1", "d05.data2_GATTTCTTCCCAGTGG-1", "d05.data2_CACATGAAGATCGGTG-1", "d05.data2_AGGGAGTCAACTTCTT-1", "d05.data2_GTAGGTTAGCGACTGA-1", "d05.data2_AGTAACCTCCTCACGT-1", "d05.data2_GACAGCCGTAACATGA-1", "d05.data2_CAAAGAATCAGCGTCG-1", "d05.data2_GGGTGTCAGGATTTGA-1", "d05.data2_TTCGATTGTACCCACG-1", "d05.data2_ATTCCTAAGGCACGAT-1", "d05.data2_TCGGATAGTCGCCACA-1", "d05.data2_GTCACGGAGTGACACG-1", "d05.data2_TCACGGGTCGTTATCT-1", "d05.data2_TGGAGGATCACCTGTC-1", "d05.data2_CCTTGTGAGTGATAAC-1", "d05.data2_CGGGCATTCGGCTGGT-1", "d05.data2_GCCAGTGAGCGGGTAT-1", "d05.data2_TCATACTAGTGGTCAG-1", "d05.data2_ACCCTTGGTGGATTTC-1", "d05.data2_GTGACGCGTTGGTGTT-1", "d05.data2_TACAACGAGTATTGCC-1", "d05.data2_CCATCACTCGCCTAGG-1", "d05.data2_TCACTATAGAGCCCAA-1", "d05.data2_GCGGATCCATAGATCC-1", "d05.data2_TGTGAGTAGGCACAAC-1", "d05.data2_TTGCATTTCTCTCTAA-1", "d05.data2_CTTAGGATCCATTTGT-1", "d05.data2_TAAGCCATCATGTCTT-1", "d05.data2_GAATCGTCAGTTGGTT-1", "d05.data2_GACACGCTCATCCCGT-1", "d05.data2_ACCCTCAAGGAACGTC-1", "d05.data2_ACCTACCGTAATCAAG-1", "d05.data2_TCGGGCATCGATCCAA-1", "d05.data2_TCACACCTCAACCTTT-1", "d05.data2_GAACACTTCTGACCCT-1", "d05.data2_TGAGCGCTCCGAACGC-1", "d05.data2_GAACTGTCACTTCAAG-1", "d05.data2_CTAACTTGTGCATTAC-1", "d05.data2_TGTTCATCATGTTACG-1", "d05.data2_TCATTACAGGCGAAGG-1", "d05.data2_CTGCCTATCGTCCATC-1", "d05.data2_CATAAGCTCTCCCATG-1", "d05.data2_ATTTCACTCCGATAGT-1", "d05.data2_CCACGTTGTGAGGAAA-1", "d05.data2_AGCTTCCAGTATGACA-1", "d05.data2_GGGACTCTCAGTAGGG-1", "d05.data2_TTACCGCGTAGCGCCT-1", "d05.data2_ATCACTTCACTGGACC-1", "d05.data2_CTCAAGAAGGTTTACC-1", "d05.data2_TACGTCCTCAACGTGT-1", "d05.data2_TGGAACTGTGCGTTTA-1", "d05.data2_CCTGTTGAGTGATAAC-1", "d05.data2_ACCATTTGTACCCGAC-1", "d05.data2_TTTCACAGTGGCTGAA-1", "d05.data2_CACATGAGTCATCAGT-1", "d05.data2_TGCTTCGGTCCACAGC-1", "d05.data2_CTGCCTACAACAAGTA-1", "d05.data2_TTTCATGAGGGCTTCC-1", "d05.data2_CTAACTTGTACGCTTA-1", "d05.data2_ATGCATGAGCATGCAG-1", "d05.data2_CGCATAATCCAGTTCC-1", "d05.data2_GTGTGATCATTGGGAG-1", "d05.data2_GAGCCTGAGTGAACAT-1", "d05.data2_AACGTCAGTTCAAGTC-1", "d05.data2_AGCGCTGCAGAGTGAC-1", "d05.data2_AAACGAATCACCTCGT-1", "d05.data2_TAGCACAAGACTACGG-1", "d05.data2_CTCCCTCCAATTGGTC-1", "d05.data2_CATGCCTTCCCATTCG-1", "d05.data2_CTGTATTCAGTCGCTG-1", "d05.data2_CATGGATAGGTAGCCA-1", "d05.data2_AGTAACCTCCACTTTA-1", "d05.data2_AACCTTTTCGTGGGAA-1", "d05.data2_GTTGCTCAGGCATCGA-1", "d05.data2_AAGACAATCAACGTGT-1", "d05.data2_TACCTCGAGTTGTCGT-1", "d05.data2_GTGTAACAGAATCGAT-1", "d05.data2_CCGTTCACATGACAAA-1", "d05.data2_TGTCCTGCATCGATAC-1", "d05.data2_ATGCATGTCCCTCAAC-1", "d05.data2_GCCAGTGTCTGCGGGT-1", "d05.data2_TATTGCTCACCTGCAG-1", "d05.data2_TGCAGTATCGAGTCCG-1", "d05.data2_TTGTTCATCTGCATAG-1", "d05.data2_TGCACGGAGCTCACTA-1", "d05.data2_ATGGTTGTCATCTGTT-1", "d05.data2_CATTTCAGTGCCTACG-1", "d05.data2_AGACAAACACTTGTGA-1", "d05.data2_ACAAAGAGTGATAGTA-1", "d05.data2_CACAACAAGCCTCAAT-1", "d05.data2_GCCGATGCAACTCCAA-1", "d05.data2_AATCGACAGGTCCCTG-1", "d05.data2_TACGTCCGTCAGTCTA-1", "d05.data2_AGGAATAGTCACTTCC-1", "d05.data2_GTTGCGGGTCCTGTTC-1", "d05.data2_CGATGCGCATTCTTCA-1", "d05.data2_TGTAAGCAGAATTGTG-1", "d05.data2_TTCTGTATCGGCATTA-1", "d05.data2_TCACATTTCTTTGCAT-1", "d05.data2_AGACCCGCAAGGATGC-1", "d05.data2_AGTCACAGTGTCTTGA-1", "d05.data2_TGGGCTGAGCTAGAGC-1", "d05.data2_TCAGTGATCCCGAGAC-1", "d05.data2_GTTGTGAAGCGTTACT-1", "d05.data2_GGCTTTCAGCCACCGT-1", "d05.data2_GTGTGATTCGAACGCC-1", "d05.data2_GAAGAATTCGCTACGG-1", "d05.data2_CGTTGGGGTCCACAGC-1", "d05.data2_TTTACCATCCATTGCC-1", "d05.data2_ACACCAAGTGCAACAG-1", "d05.data2_TAGGGTTAGCATGATA-1", "d05.data2_AAGAACAAGTAGTCTC-1", "d05.data2_CATTGTTTCCAATGCA-1", "d05.data2_GACACGCTCAGGTAAA-1", "d05.data2_CACTGTCAGCCTCAGC-1", "d05.data2_GGGTTATTCATCTATC-1", "d05.data2_CTTGATTAGATGACAT-1", "d05.data2_ACCTGTCAGAATCTAG-1", "d05.data2_TCCCAGTCAACAAAGT-1", "d05.data2_TGATCTTGTAACGTTC-1", "d05.data2_TCATGCCAGAATCTAG-1", "d05.data2_CTGAATGCAGTATGAA-1", "d05.data2_GAGCTGCAGTAATTGG-1", "d05.data2_GCACGTGTCGCTATTT-1", "d05.data2_CAGCGTGCATAGAATG-1", "d05.data2_GAGTCTAGTTCAAACC-1", "d05.data2_GTTCCGTAGGCATCTT-1", "d05.data2_TGCAGGCAGATAGCTA-1", "d05.data2_TGAGCATAGAATCGAT-1", "d05.data2_GCCAGTGGTCTCTCAC-1", "d05.data2_TGATGCAAGTACTGTC-1", "d05.data2_CTGTATTAGGGAGGTG-1", "d05.data2_ATTCCATTCCATTTGT-1", "d05.data2_CTCAGAAGTCAACCAT-1", "d05.data2_TCAAGTGGTCACTAGT-1", "d05.data2_GATGTTGAGTAGTCCT-1", "d05.data2_CATGCCTGTAGTATAG-1", "d05.data2_ACCGTTCTCTACGGGC-1", "d05.data2_ATTCCTACACCAGTTA-1", "d05.data2_AGTGCCGGTTAGAAGT-1", "d05.data2_CATGCTCCATGTGACT-1", "d05.data2_CTGGACGTCCCTTGTG-1", "d05.data2_GTTACAGAGACATCAA-1", "d05.data2_AGCGATTAGTTCCGTA-1", "d05.data2_GTGGCGTTCCGCGGAT-1", "d05.data2_CGGGCATAGACATCCT-1", "d05.data2_AGGGCCTGTTGGCCGT-1", "d05.data2_TGGGAAGTCCCAGGAC-1", "d05.data2_ACCGTTCTCTGTGCTC-1", "d05.data2_TTCTCTCCACCTCAGG-1", "d05.data2_TACACCCTCGAGCCAC-1", "d05.data2_TCTTTGAGTCGGTGAA-1", "d05.data2_CGTGCTTTCCACGGAC-1", "d05.data2_AGAAGTACATATACCG-1", "d05.data2_GAGCTGCGTCGCTTAA-1", "d05.data2_GTGGCGTTCAGACCTA-1", "d05.data2_CGAGAAGCACACGTGC-1", "d05.data2_CTCTCAGTCTCAAAGC-1", "d05.data2_TGCCGAGAGACAGTCG-1", "d05.data2_ACCCTCAAGGTTAAAC-1", "d05.data2_CCCTAACCAACTTCTT-1", "d05.data2_GACACGCGTCAAGTTC-1", "d05.data2_TTCAATCCAGAACTTC-1", "d05.data2_ACTTCGCCACCAGGTC-1", "d05.data2_ACCGTTCAGTGCCAGA-1", "d05.data2_GTCAAACGTCCAGTTA-1", "d05.data2_TTGCCTGCATGGCCCA-1", "d05.data2_ACTTATCGTTTGTTGG-1", "d05.data2_AGGATAAAGTTACGTC-1", "d05.data2_TCACTCGCAAATGGAT-1", "d05.data2_TCCTCTTCAAATCGTC-1", "d05.data2_CACTGAAGTTCAGCGC-1", "d05.data2_ACAAAGAAGGAGAGGC-1", "d05.data2_GTCAGCGGTTTCCCAC-1", "d05.data2_CATCCGTAGTAAGACT-1", "d05.data2_ACATCCCAGAGAAGGT-1", "d05.data2_GTTCATTGTCCACACG-1", "d05.data2_CCACCATCATGTTTGG-1", "d05.data2_TCCTAATCAAATACAG-1", "d05.data2_ATACTTCGTGTCGCTG-1", "d05.data2_GGGTTATCAAGAGTTA-1", "d05.data2_AATGGAACAAACACCT-1", "d05.data2_TCTCCGACAGTTGGTT-1", "d05.data2_GCACTAACAAGTTCGT-1", "d05.data2_CCTCTAGAGTATGGCG-1", "d05.data2_GGGTATTAGTGATTCC-1", "d05.data2_AGAGAATGTCCAGCCA-1", "d05.data2_TAACCAGAGTCCCGGT-1", "d05.data2_GAACTGTAGCGGCTCT-1", "d05.data2_TCTCAGCCAGTTTCAG-1", "d05.data2_TCTTAGTCATCGATCA-1", "d05.data2_CCACTTGGTCGCTTGG-1", "d05.data2_CGGAATTCAAGGCTTT-1", "d05.data2_TGGCGTGAGTCGCTAT-1", "d05.data2_ACACGCGTCAGACATC-1", "d05.data2_GTGCAGCCAAACTCTG-1", "d05.data2_CCTAACCGTAGATTAG-1", "d05.data2_GTCACTCCACTTGTGA-1", "d05.data2_TCATCCGCAGCGACCT-1", "d05.data2_GAAGCGAAGATCCGAG-1", "d05.data2_ATGTCCCGTTGCATCA-1", "d05.data2_AGGTAGGTCGCTGTCT-1", "d05.data2_TCGACCTGTGCGAGTA-1", "d05.data2_CTCCCAAGTATCCTTT-1", "d05.data2_CTTAGGACATAGAATG-1", "d05.data2_ATTCCCGGTTCGTTCC-1", "d05.data2_TGGAACTTCTCCTGTG-1", "d05.data2_ACTACGAAGCTCGCAC-1", "d05.data2_GGTAACTGTTCGTGCG-1", "d05.data2_ACTGATGTCCCAATAG-1", "d05.data2_CGACAGCCAAACTCGT-1", "d05.data2_ACCAAACCACATGACT-1", "d05.data2_CCTCAGTAGATACCAA-1", "d05.data2_TGGAGAGGTGGGCTCT-1", "d05.data2_GAGCCTGCAGCTAACT-1", "d05.data2_ATTCAGGAGATGCTAA-1", "d05.data2_TGGAGAGGTTGATCGT-1", "d05.data2_TATACCTGTGGTCCGT-1", "d05.data2_ATTGTTCGTTTCGATG-1", "d05.data2_GTAATCGAGCGCCTAC-1", "d05.data2_AAGATAGTCGTTCAGA-1", "d05.data2_ATGAAAGCACTGGATT-1", "d05.data2_ATAGACCCAGTCACGC-1", "d05.data2_GAACGTTTCCTCTAGC-1", "d05.data2_ATTCACTAGCGACTTT-1", "d05.data2_CTTCAATGTTTAGAGA-1", "d05.data2_CACAGGCCACTTGGGC-1", "d05.data2_CGACAGCCAGTTGTCA-1", "d05.data2_CAGGTATCAATCGCCG-1", "d05.data2_TGGTTAGGTCGTAATC-1", "d05.data2_TGACGCGAGTTCCGTA-1", "d05.data2_AAGCGAGAGGCCTGCT-1", "d05.data2_AGCTACAGTTTCGTTT-1", "d05.data2_ACGGTTAGTTTCACTT-1", "d05.data2_AAAGAACCACCTCTGT-1", "d05.data2_TTGGGTATCGTGTGAT-1", "d05.data2_TTGATGGAGGAATTAC-1", "d05.data2_CGAGGAATCAAGAAAC-1", "d05.data2_TGTGTGAGTTGTCCCT-1", "d05.data2_GCTACCTTCCGACGGT-1", "d05.data2_CAGTTCCAGCCATTCA-1", "d05.data2_CACGAATGTGCTATTG-1", "d05.data2_CCACGTTAGCCTGAGA-1", "d05.data2_ATGGATCGTATAGCTC-1", "d05.data2_GTGGTTACAGCTGCCA-1", "d05.data2_CAGGGCTGTACCCACG-1", "d05.data2_TTGTGTTAGTATTGCC-1", "d05.data2_CATCCACGTTACCCAA-1", "d05.data2_AACCTTTGTGTTAACC-1", "d05.data2_CCTTCAGGTAGCGATG-1", "d05.data2_TACCGAATCCCGGTAG-1", "d05.data2_CCTATCGGTTAAACAG-1", "d05.data2_TCATTTGCAGGAGGAG-1", "d05.data2_TAGGTTGCAGCAGGAT-1", "d05.data2_GGGTATTCAATCTCTT-1", "d05.data2_GTCTAGATCCACTTTA-1", "d05.data2_ACATCGAGTAAGCGGT-1", "d05.data2_TTTACGTGTCGTATGT-1", "d05.data2_AGGGTGAAGAGCCCAA-1", "d05.data2_ATTTACCCACGTACAT-1", "d05.data2_GCAGTTAGTTGTTTGG-1", "d05.data2_ATCTCTACATCTCCCA-1", "d05.data2_GTTGTGAGTAATTAGG-1", "d05.data2_CAGATCAGTAGACAGC-1", "d05.data2_ATGTCCCAGTCTAGCT-1", "d05.data2_AGGGTGAGTCCGTACG-1", "d05.data2_AGTACTGGTTACCTGA-1", "d05.data2_CACATGACAGACCATT-1", "d05.data2_GATTTCTCACAAATAG-1", "d05.data2_GGCGTCACACTAGGTT-1", "d05.data2_TCTTGCGAGTGGAATT-1", "d05.data2_TGATTTCAGTTCACTG-1", "d05.data2_CAACAGTGTCTATGAC-1", "d05.data2_CTTAGGACAGTTGCGC-1", "d05.data2_TGTGCGGCATGCCGCA-1", "d05.data2_CTGCCTAAGTTGGACG-1", "d05.data2_ACTTATCCACGACGAA-1", "d05.data2_CTCCACAGTACCCAGC-1", "d05.data2_CCTCTAGTCGAAATCC-1", "d05.data2_TAGCACATCGATGCAT-1", "d05.data2_CATTTCATCGTTCTGC-1", "d05.data2_CCATAAGGTGGATACG-1", "d05.data2_TCGGATACACCCTATC-1", "d05.data2_CACTGTCCAGTCGAGA-1", "d05.data2_GTGGAGATCAAGTTGC-1", "d05.data2_GGGCGTTTCGCCTTTG-1", "d05.data2_GAAACCTGTATCCCAA-1", "d05.data2_AGCGATTGTGAAGCGT-1", "d05.data2_TAGGGTTAGTAAGAGG-1", "d05.data2_TTGGGTATCCTAAACG-1", "d05.data2_GTCGTTCGTTCGTGCG-1", "d05.data2_AGCTTCCGTACGGTTT-1", "d05.data2_AGATCGTGTATCGTTG-1", "d05.data2_ACTTTGTTCACTCACC-1", "d05.data2_ACCTACCCATCTCGTC-1", "d05.data2_TGTTACTTCCGCGATG-1", "d05.data2_TCAGTCCGTTCTATCT-1", "d05.data2_CCATAAGAGATTGTGA-1", "d05.data2_TCGCTCAGTCCACTTC-1", "d05.data2_CTTGATTTCGAACGCC-1", "d05.data2_TTGTGGAAGTTTGGCT-1", "d05.data2_CTCAATTCAGGGTTGA-1", "d05.data2_TTTAGTCGTATGAAAC-1", "d05.data2_CCTATCGTCCCGTGAG-1", "d05.data2_GACTATGCAATCAGCT-1", "d05.data2_TAGAGTCTCGCACTCT-1", "d05.data2_ACATGCACATTCGATG-1", "d05.data2_GGAGGTATCTCGCTCA-1", "d05.data2_TCGTGGGCACCTAAAC-1", "d05.data2_CTCAGAAAGGACATCG-1", "d05.data2_CCACAAACATCGATCA-1", "d05.data2_TGCAGGCCAGTTGAAA-1", "d05.data2_GGGACTCCATGTTTGG-1", "d05.data2_GTCATTTCACGAAGAC-1", "d05.data2_TCTTAGTCAAGAGTTA-1", "d05.data2_GGTAGAGCACTGGCGT-1", "d05.data2_AAGCCATCAATTCTTC-1", "d05.data2_ACTTATCCAGCTCATA-1", "d05.data2_CTTAGGAGTTCCGCAG-1", "d05.data2_TCAGCCTAGACGAAGA-1", "d05.data2_GCTTTCGAGTCTTCCC-1", "d05.data2_TCGCTTGGTCGTACAT-1", "d05.data2_ATTTACCTCACCGACG-1", "d05.data2_CTCAACCGTATCAGGG-1", "d05.data2_GGCAGTCGTTACGTAC-1", "d05.data2_CATTGCCTCCTCTCTT-1", "d05.data2_TAGCACATCACCGCTT-1", "d05.data2_CGTGCTTGTATGTGTC-1", "d05.data2_CTCCTCCTCTGAATCG-1", "d05.data2_CATTCTACACATGAAA-1", "d05.data2_CCACGTTGTGGGACAT-1", "d05.data2_TCATGCCAGCCGGATA-1", "d05.data2_GATTTCTAGCGGGTAT-1", "d05.data2_GCAACATAGCAACCAG-1", "d05.data2_CGAAGGATCACCTGGG-1", "d05.data2_TTTCCTCTCATCGACA-1", "d05.data2_TTACGTTAGTAAACGT-1", "d05.data2_CTTCGGTTCCGTTGGG-1", "d05.data2_AGCGCTGCAAGTCCCG-1", "d05.data2_TATTGGGAGATGTAGT-1", "d05.data2_TCGCTTGTCAACGTGT-1", "d05.data2_TGGATCAAGGGCTTCC-1", "d05.data2_TCATTTGAGTAAGAGG-1", "d05.data2_AGCCAGCCACTGTTCC-1", "d05.data2_GTAAGTCTCTCATGGA-1", "d05.data2_TTGTTGTCACTGTCCT-1", "d05.data2_AACCACAGTCAGGTGA-1", "d05.data2_TACACCCAGTGCTCAT-1", "d05.data2_AAACGCTCAAATGAAC-1", "d05.data2_ACTGTCCTCCGTATAG-1", "d05.data2_GTAACACCATTCCTAT-1", "d05.data2_CATCCCACAAACACGG-1", "d05.data2_TCCTTTCTCTTGGTCC-1", "d05.data2_CTGCATCGTTCCTAGA-1", "d05.data2_CAGCACGGTACTAGCT-1", "d05.data2_CAGAGCCAGTTCCATG-1", "d05.data2_TTGGTTTGTCCCGCAA-1", "d05.data2_CAGTTAGCAGTTCACA-1", "d05.data2_CCGCAAGAGGATACGC-1", "d05.data2_GATTGGTTCGACCACG-1", "d05.data2_GAAACCTCATAGAATG-1", "d05.data2_GCACGTGTCTCGCTTG-1", "d05.data2_CTCAAGAAGCACGGAT-1", "d05.data2_GCCAGTGGTCTTACAG-1", "d05.data2_ATCTTCATCAACGCTA-1", "d05.data2_AGAGAGCAGGTTGCCC-1", "d05.data2_ATGACCATCCATAGAC-1", "d05.data2_CTAACTTAGTACAACA-1", "d05.data2_CATGCAAAGGATTACA-1", "d05.data2_CACCAAACACGAGGAT-1", "d05.data2_GTGAGCCTCCTATTGT-1", "d05.data2_ACCAACAGTGAAGCTG-1", "d05.data2_AGGTCTAAGGTTGGTG-1", "d05.data2_ATCCTATGTGTCATGT-1", "d05.data2_CAATGACTCTGAGTCA-1", "d05.data2_TCGGATATCGCAATTG-1", "d05.data2_GAAGGACGTGTTATCG-1", "d05.data2_TCAGTCCCACGCAGTC-1", "d05.data2_TTCTCTCCAGGGTCTC-1", "d05.data2_CAACAGTCATGGATCT-1", "d05.data2_TTGCCTGAGGGAGATA-1", "d05.data2_AGCTACAAGAATCGCG-1", "d05.data2_CCTAACCCATCGGTTA-1", "d05.data2_GCTGGGTGTTCCGCGA-1", "d05.data2_CATGCGGAGCTGAAAT-1", "d05.data2_AACAAGAGTATTGGCT-1", "d05.data2_AAGGAATGTCAATCTG-1", "d05.data2_CTTGAGAAGTAACAGT-1", "d05.data2_ATAGACCTCATTTCGT-1", "d05.data2_ACGGTTATCTTGGATG-1", "d05.data2_CATACCCCATGAGAAT-1", "d05.data2_CATGGATGTATGAGAT-1", "d05.data2_ATACTTCGTTAAGGAT-1", "d05.data2_GTCACGGGTGCCTTCT-1", "d05.data2_TGAACGTTCTTAGGAC-1", "d05.data2_ATTTACCAGTCATGCT-1", "d05.data2_GAATCACCATACAGGG-1", "d05.data2_GAGTCTAAGCTGTACT-1", "d05.data2_TCCTCGATCTATGTGG-1", "d05.data2_CTTCCTTTCATTGCTT-1", "d05.data2_CATCCCATCTTGAGCA-1", "d05.data2_TGCGATACACAATTCG-1", "d05.data2_AAGACAACACCTGAAT-1", "d05.data2_TGGTACATCGACACTA-1", "d05.data2_GGGTGTCTCCGAGTGC-1", "d05.data2_GTAGAAAGTCCGTACG-1", "d05.data2_GGCACGTTCCGACAGC-1", "d05.data2_GGATCTACATGAGTAA-1", "d05.data2_AGAGAATTCTAACGCA-1", "d05.data2_TCATTGTTCTTAGCAG-1", "d05.data2_GGCTTGGTCAGTAGGG-1", "d05.data2_ATGATCGGTGAGTTTC-1", "d05.data2_GTCCCATTCGTTCAGA-1", "d05.data2_AAGGAATGTGATACTC-1", "d05.data2_CTACTATTCACGATAC-1", "d05.data2_TGAATGCGTTTCCCAC-1", "d05.data2_TTCGGTCTCAGCTAGT-1", "d05.data2_TGCTTCGCATTACTCT-1", "d05.data2_ATCTTCAAGATGGTAT-1", "d05.data2_AAACCCAAGGTGGCTA-1", "d05.data2_TGCGATATCATAGGCT-1", "d05.data2_ACTATCTTCTCCCAAC-1", "d05.data2_AAGTACCAGGTTACCT-1", "d05.data2_AGGACTTGTACCTAGT-1", "d05.data2_GTTACGAGTATCCTCC-1", "d05.data2_GATAGCTCAGTCAGTT-1", "d05.data2_GTAGCTAGTGGACCAA-1", "d05.data2_ATGTCTTCAGCATACT-1", "d05.data2_TCATTACTCATATGGC-1", "d05.data2_GGGCCATGTGAGACCA-1", "d05.data2_ACAAGCTGTACTCCGG-1", "d05.data2_AGAAATGAGTATAGAC-1", "d05.data2_CACATGAAGTTATGGA-1", "d05.data2_TCATTACAGGTTAGTA-1", "d05.data2_AGGGTTTAGGCCTTCG-1", "d05.data2_GCCAGGTGTAACGCGA-1", "d05.data2_TAATTCCTCTACAGGT-1", "d05.data2_TCCATGCAGCTAATGA-1", "d05.data2_CTGCCATCAGCTTCGG-1", "d05.data2_GCGGAAAGTGTTAAAG-1", "d05.data2_TCGTAGAAGTGGTTGG-1", "d05.data2_GTAATGCCAGGTTTAC-1", "d05.data2_GGAACCCTCCCTAGGG-1", "d05.data2_TGGAACTGTCTGTGGC-1", "d05.data2_TAGGTTGGTGCTGTCG-1", "d05.data2_TGTTACTCACAAATAG-1", "d05.data2_CCTAACCCAGTTAGGG-1", "d05.data2_ATGAGGGCATGGTACT-1", "d05.data2_GACCAATTCGCTACAA-1", "d05.data2_ATTGGGTGTGCCCAGT-1", "d05.data2_GTTCATTAGGTCACCC-1", "d05.data2_GGGAGATTCCGCAAAT-1", "d05.data2_TCACAAGCACGCTGAC-1", "d05.data2_CATCCGTAGTGAGGTC-1", "d05.data2_CATCGGGTCTAAGCGT-1", "d05.data2_GCTGCAGAGTGTTGTC-1", "d05.data2_AGCCAGCCATGGGATG-1", "d05.data2_GAGAAATGTTAGGGAC-1", "d05.data2_TCATGTTTCGGTCGGT-1", "d05.data2_TTGCATTGTGGTACAG-1", "d05.data2_TGGGATTCATGGGCAA-1", "d05.data2_GTGCTTCCACCTCTAC-1", "d05.data2_GGGCTCAAGATGCCGA-1", "d05.data2_TGTCCACTCTAATTCC-1", "d05.data2_TTTATGCCAAGGTTGG-1", "d05.data2_TCATTTGCACATCATG-1", "d05.data2_GTGCACGTCGAGCTGC-1", "d05.data2_TGAGGTTCAGACGATG-1", "d05.data2_ACCCAAAAGACCGTTT-1", "d05.data2_TTATTGCTCTAGCATG-1", "d05.data2_AAGACAAGTTGGACCC-1", "d05.data2_TCATTTGCACGTGAGA-1", "d05.data2_CTCTCGACAAAGCACG-1", "d05.data2_ACACGCGGTGCGTGCT-1", "d05.data2_GCTGAATGTCGGCCTA-1", "d05.data2_ACAACCATCTGACCCT-1", "d05.data2_CCAATTTAGGCTTAAA-1", "d05.data2_GAACACTCAACCAACT-1", "d05.data2_TCTATACAGTTGGGAC-1", "d05.data2_GAGGCCTCACTGTGAT-1", "d05.data2_GCACATAGTACATACC-1", "d05.data2_ACTGTGACAACAGAGC-1", "d05.data2_GGTGAAGGTTGACTAC-1", "d05.data2_CTGCTCAGTGTATTGC-1", "d05.data2_AGGACGAGTACGATCT-1", "d05.data2_CCAATGACATGATCTG-1", "d05.data2_CAGCCAGGTCGCAGTC-1", "d05.data2_AACTTCTTCCCTATTA-1", "d05.data2_AGGTTGTCACTTGTCC-1", "d05.data2_CAGTTCCCAAATGCTC-1", "d05.data2_ATGGATCGTACCTAGT-1", "d05.data2_TGTCCTGGTGCAACGA-1", "d05.data2_CCAATGAGTGCATTAC-1", "d05.data2_GAATCACTCACCATGA-1", "d05.data2_AAGACTCAGAGAGCAA-1", "d05.data2_AGGTCTACAACGCATT-1", "d05.data2_GTCATGACAAGCAGGT-1", "d05.data2_AGTTCGACAGGACTAG-1", "d05.data2_GTTTACTGTATACAGA-1", "d05.data2_CGTAATGAGTTAGAAC-1", "d05.data2_GCTCAAACATAATCCG-1", "d05.data2_ACTGTGAGTATCCTTT-1", "d05.data2_TACCGGGCAGGTCAGA-1", "d05.data2_ATCATTCGTTGGAGAC-1", "d05.data2_AGATCCACATTCTCTA-1", "d05.data2_CTACATTTCGAACACT-1", "d05.data2_AACCTTTCATGTGTCA-1", "d05.data2_AAGTTCGGTCAGACTT-1", "d05.data2_ATCCCTGGTTTAGTCG-1", "d05.data2_TCTACATAGGGAGTTC-1", "d05.data2_TTAGTCTGTACCTAAC-1", "d05.data2_TACGTCCTCAGGTGTT-1", "d05.data2_CGCATAAAGCGTCAGA-1", "d05.data2_ATACCTTAGCAGGTCA-1", "d05.data2_ACTTCCGGTGAGACCA-1", "d05.data2_CAATGACAGAAGCCAC-1", "d05.data2_CATACTTCAATCTAGC-1", "d05.data2_CCCAACTAGGCCCAAA-1", "d05.data2_CCTAACCGTGTTAACC-1", "d05.data2_GCCCAGATCATTGCCC-1", "d05.data2_GCAACCGGTTCCAGGC-1", "d05.data2_TTGAGTGCACTAAACC-1", "d05.data2_AGAGAGCAGTCGCTAT-1", "d05.data2_CTACCTGCACCCTTGT-1", "d05.data2_TAACGACTCGAACCTA-1", "d05.data2_CTATCCGTCACGATCA-1", "d05.data2_ACGTCCTCATGCTGCG-1", "d05.data2_CAGTTCCGTAACCCGC-1", "d05.data2_TGATGGTCATGGATCT-1", "d05.data2_AACAAGAGTCACTAGT-1", "d05.data2_AACAAGAGTAGAGACC-1", "d05.data2_CCTTGTGTCGATGCAT-1", "d05.data2_CAAAGAATCGCTACGG-1", "d05.data2_TTCATGTGTTTAAGGA-1", "d05.data2_TCGCAGGCACTATCGA-1", "d05.data2_ATCCCTGTCTAGATCG-1", "d05.data2_CCTCCTCTCGCTTTAT-1", "d05.data2_AGGAAATAGGAATTAC-1", "d05.data2_AGCTACAGTTGCATAC-1", "d05.data2_ATACTTCCACATCATG-1", "d05.data2_TAATCTCCACTTGAAC-1", "d05.data2_TAATTCCGTTCAATCG-1", "d05.data2_ACCTGAAAGTAGTCTC-1", "d05.data2_TTGACCCCATAGCACT-1", "d05.data2_CCACAAAAGTCGTCTA-1", "d05.data2_AGCCAGCCACCACTGG-1", "d05.data2_TGTGATGGTACTGCGC-1", "d05.data2_CATCGCTGTCCGAAAG-1", "d05.data2_ACCTGTCTCTGTGCTC-1", "d05.data2_CGAGTTAAGCGTCTGC-1", "d05.data2_CAGTTAGTCACCTCGT-1", "d05.data2_CTAGACAAGCGGGTAT-1", "d05.data2_GTCTACCTCTCATTTG-1", "d05.data2_TGAACGTTCATGGAGG-1", "d05.data2_TTTACGTCAGCTCCTT-1", "d05.data2_AACAAAGCAAATACAG-1", "d05.data2_AAGACAAAGCGACAGT-1", "d05.data2_CTTACCGTCCTTCTTC-1", "d05.data2_TCGGGACTCCCTCGTA-1", "d05.data2_CTCAGAAGTCTTCTAT-1", "d05.data2_ATCGGCGCAGGAATCG-1", "d05.data2_TTGACCCGTCTACAGT-1", "d05.data2_ATAGAGACAATGAACA-1", "d05.data2_TCAGCCTAGGGAGATA-1", "d05.data2_AGTCATGAGAGGACTC-1", "d05.data2_TACGCTCAGCGGCTCT-1", "d05.data2_AGGTCATGTTAATCGC-1", "d05.data2_AACAAGACAGCAATTC-1", "d05.data2_CAAGAGGAGAGGATGA-1", "d05.data2_GGAGATGCAAGTGGCA-1", "d05.data2_TCGTCCAGTATGGAAT-1", "d05.data2_GGGACCTGTGTCCACG-1", "d05.data2_TGCTTCGTCATCTATC-1", "d05.data2_CTGCTCATCATACAGC-1", "d05.data2_AGTAACCAGTGGATAT-1", "d05.data2_GAGCCTGTCAAAGGTA-1", "d05.data2_TGAGCGCAGCTTGTTG-1", "d05.data2_GGGAAGTAGGATTCCT-1", "d05.data2_CCACAAACACTGAATC-1", "d05.data2_GATGCTATCGCTCCTA-1", "d05.data2_ACCCTCAAGCCTCAAT-1", "d05.data2_TCGAAGTTCGACGCTG-1", "d05.data2_TTCCGTGCAGAGGAAA-1", "d05.data2_TACCTGCCAGACTCTA-1", "d05.data2_TGTTGAGCAATTAGGA-1", "d05.data2_TGTGCGGCACACTTAG-1", "d05.data2_CTGAGGCGTCGGAAAC-1", "d05.data2_TCCTTCTGTCTACATG-1", "d05.data2_AGCTACATCTCATTTG-1", "d05.data2_CATTCTACACGGGCTT-1", "d05.data2_CTCCTCCCAGTCTGGC-1", "d05.data2_TCATGTTAGCAGATAT-1", "d05.data2_AAAGTCCAGCTATCTG-1", "d05.data2_GTTGTGACACTCCGGA-1", "d05.data2_AGCGTATTCGAATGCT-1", "d05.data2_CAATCGACATCTTCGC-1", "d05.data2_ATCACAGAGGTACCTT-1", "d05.data2_GATAGAACAACTTGCA-1", "d05.data2_GATTCGACAGAGGAAA-1", "d05.data2_TTTCCTCAGTGATAAC-1", "d05.data2_ATCCATTTCTCACCCA-1", "d05.data2_AGTCATGGTTCGAGCC-1", "d05.data2_GCACATAAGCGACTAG-1", "d05.data2_TCTTTGAGTCGGAACA-1", "d05.data2_TGCATGAAGCATAGGC-1", "d05.data2_AGCCACGCATCATCCC-1", "d05.data2_CCACGTTTCTCCTGAC-1", "d05.data2_TTCTTGAAGCTGCCAC-1", "d05.data2_CTCCACAGTCTTTATC-1", "d05.data2_GTAGATCCATGTAACC-1", "d05.data2_AATTTCCTCCTACAAG-1", "d05.data2_GGGAGTACAAACTGCT-1", "d05.data2_GCAGCCATCGATCCAA-1", "d05.data2_GGGTTTATCTACACTT-1", "d05.data2_GCCCGAACATCCTTCG-1", "d05.data2_TGACTCCTCGATACAC-1", "d05.data2_CACATGACACCCTGTT-1", "d05.data2_GGTTAACTCATTTACC-1", "d05.data2_ACTATGGCATGTAACC-1", "d05.data2_CGCAGGTTCGGAGATG-1", "d05.data2_AGCTCAATCCTGGGAC-1", "d05.data2_GGGATCCAGAGTCGAC-1", "d05.data2_TCCGTGTCATACATCG-1", "d05.data2_TACCCGTTCCAGTGTA-1", "d05.data2_CGCCAGAAGCTCACTA-1", "d05.data2_CATTTCATCGAGAAAT-1", "d05.data2_AATAGAGGTGTTGACT-1", "d05.data2_AAAGGTACAAAGAACT-1", "d05.data2_ATCTTCAGTATTTCTC-1", "d05.data2_TTGAGTGCAGCGCTTG-1", "d05.data2_GACGTTAGTTAGAAAC-1", "d05.data2_TGGGCTGGTAGCTGTT-1", "d05.data2_TGAGACTGTAGTAAGT-1", "d05.data2_TCATGTTAGGACAACC-1", "d05.data2_CTAAGTGGTATTGAGA-1", "d05.data2_GCACTAATCCAGTGCG-1", "d05.data2_AGTTCCCCAAGTATCC-1", "d05.data2_AGGCATTTCCCAACTC-1", "d05.data2_AAGCGTTTCATGACAC-1", "d05.data2_TCCAGAAGTCTGATAC-1", "d05.data2_CTGTATTTCATCGTAG-1", "d05.data2_CTGGCAGTCCACAGCG-1", "d05.data2_ATGGATCGTAGCTCGC-1", "d05.data2_TGAGCGCGTATGCTTG-1", "d05.data2_AACCAACCAAGGCTTT-1", "d05.data2_GTTCTATTCGACGATT-1", "d05.data2_CTAACCCGTGTGCCTG-1", "d05.data2_ACTCCCATCACCTGGG-1", "d05.data2_CCACGAGTCCTCGATC-1", "d05.data2_ATTTACCGTCACTACA-1", "d05.data2_AATGCCACAAGCAATA-1", "d05.data2_ATGCATGTCATGGAGG-1", "d05.data2_TTCTAACCAAGACGAC-1", "d05.data2_TCATCATGTTTACCTT-1", "d05.data2_AGTTCGATCTAGCAAC-1", "d05.data2_CGCATGGTCCTTATCA-1", "d05.data2_CTATAGGGTGTCCCTT-1", "d05.data2_ACTTCCGGTCAAAGAT-1", "d05.data2_CTATAGGTCTCTGACC-1", "d05.data2_CCACTTGCACTTTAGG-1", "d05.data2_GGGAGTAGTTATGTGC-1", "d05.data2_TCATACTCATTGACCA-1", "d05.data2_GATGATCGTAGCGAGT-1", "d05.data2_ATCCTATCAAATCGTC-1", "d05.data2_TTTCATGCACCTGAAT-1", "d05.data2_TGAGGGATCCATCTGC-1", "d05.data2_TATGTTCTCGGTGTAT-1", "d05.data2_GCCATGGTCTACACAG-1", "d05.data2_AAGATAGGTGCTTCAA-1", "d05.data2_GTCAGCGTCTACACAG-1", "d05.data2_CCTTCAGGTCCCAAAT-1", "d05.data2_TCTCAGCAGTCAGCGA-1", "d05.data2_GAATCGTCACACCGCA-1", "d05.data2_TCCACCAAGACGACGT-1", "d05.data2_TGACGCGAGCCGGAAT-1", "d05.data2_GATCCCTCAGCATGCC-1", "d05.data2_TACCTGCAGACGGTCA-1", "d05.data2_GCAGCTGCATGTGACT-1", "d05.data2_GCAACATAGCTGAGCA-1", "d05.data2_CATGCAAAGGGCAACT-1", "d05.data2_TTCAATCGTAGCTTTG-1", "d05.data2_GCTTGGGAGTATGGCG-1", "d05.data2_GTCAAGTAGGCTTCCG-1", "d05.data2_TACGGTAGTTCAGCGC-1", "d05.data2_TCGCAGGCACAGCGCT-1", "d05.data2_GTTGTGAGTCTCTCCA-1", "d05.data2_ACCATTTAGCTGGAGT-1", "d05.data2_GTGAGTTTCAACCTTT-1", "d05.data2_CGAGTTAAGCCAGAGT-1", "d05.data2_AACAACCAGTAGACAT-1", "d05.data2_GTGAGGATCTCTTAAC-1", "d05.data2_GGTGATTTCGACCACG-1", "d05.data2_AAGATAGTCTTCTGTA-1", "d05.data2_AGCGATTGTACGCTTA-1", "d05.data2_GCCGATGCATATACCG-1", "d05.data2_CCGAACGGTCAAACGG-1", "d05.data2_TGCGGGTGTTCGGCCA-1", "d05.data2_CTAACCCAGACATGCG-1", "d05.data2_GAGACTTTCCGGACGT-1", "d05.data2_AGGGTTTAGCGTTAGG-1", "d05.data2_TCGACGGAGTCTCTGA-1", "d05.data2_ATCCCTGCAACAAAGT-1", "d05.data2_CTACCTGCAGTTGTTG-1", "d05.data2_CGGAATTGTGTCGATT-1", "d05.data2_GCAGGCTCAATGTGGG-1", "d05.data2_GCATCTCTCTCTGGTC-1", "d05.data2_TCGTGGGGTTTGTTGG-1", "d05.data2_CCACAAATCCTCTAGC-1", "d05.data2_TTCTGTAGTTCCCAAA-1", "d05.data2_AGGGTCCGTCGTATTG-1", "d05.data2_GCCATTCCATAACGGG-1", "d05.data2_CTACATTGTCAGTTTG-1", "d05.data2_GGTAATCTCTAGCATG-1", "d05.data2_CGCATAATCATACAGC-1", "d05.data2_CTCCTCCTCGCATAGT-1", "d05.data2_AAGACAAGTCGACGCT-1", "d05.data2_TCCATGCCAGGAACCA-1", "d05.data2_TGATGGTTCACCGACG-1", "d05.data2_GGTGTCGTCCTCACTG-1", "d05.data2_TCTATACAGCATGATA-1", "d05.data2_CTATCTAAGGTTGCCC-1", "d05.data2_TTGGATGCAGTTGCGC-1", "d05.data2_GTAGTACAGGGCTAAC-1", "d05.data2_GAACTGTAGCTAGAGC-1", "d05.data2_GCCAGGTTCGCATGAT-1", "d05.data2_TTTCACAGTCACAATC-1", "d05.data2_TCTGGCTAGTTGGAAT-1", "d05.data2_AACCTGAGTAACATAG-1", "d05.data2_CAAGCTAAGGAAGTAG-1", "d05.data2_GGTTAACGTGTGAGCA-1", "d05.data2_TTCCTAATCTTCACAT-1", "d05.data2_TGCGATACACACCTAA-1", "d05.data2_TTCTTCCTCCTCACCA-1", "d05.data2_CATGCAACATCAACCA-1", "d05.data2_ATGCATGCACTGTTCC-1", "d05.data2_CTACTATTCGAACCAT-1", "d05.data2_TTCTAGTCACACACGC-1", "d05.data2_TAATTCCCAGAGGTTG-1", "d05.data2_ACTTATCTCGGTCGAC-1", "d05.data2_AAAGAACCACCTAAAC-1", "d05.data2_TACGGTATCAATGTCG-1", "d05.data2_GAATCACCAAGGCTTT-1", "d05.data2_TACCTGCCAGTATTCG-1", "d05.data2_TACTGCCTCACGGGCT-1", "d05.data2_TCCAGAACACCCTTGT-1", "d05.data2_TCATTTGTCGTTAGAC-1", "d05.data2_CCGTAGGGTCTTGAAC-1", "d05.data2_AGTAACCTCAGGAAAT-1", "d05.data2_TTGATGGTCGAACGCC-1", "d05.data2_TCGCTCATCCTCGATC-1", "d05.data2_GGTGGCTAGTAACGAT-1", "d05.data2_GACCCTTAGTCTCCTC-1", "d05.data2_CAACAACCAATGTTGC-1", "d05.data2_CTGCCATCAGCTTTCC-1", "d05.data2_GATGGAGTCCTTGACC-1", "d05.data2_ATCACAGGTAAGCAAT-1", "d05.data2_ACCAACATCGTGCGAC-1", "d05.data2_CAATCGATCAAAGGTA-1", "d05.data2_TTAATCCAGACCAACG-1", "d05.data2_TGAGGGACAGTTAGGG-1", "d05.data2_GAGGGATTCGTAGCCG-1", "d05.data2_GTAAGTCAGACTCTTG-1", "d05.data2_ATGGTTGTCGAGTCTA-1", "d05.data2_GTGACGCCACGGCCAT-1", "d05.data2_TTATTGCGTTAAGACA-1", "d05.data2_GAACTGTAGAGCCGAT-1", "d05.data2_GTCTCACAGGTTCCAT-1", "d05.data2_ACTCTCGGTCCATAGT-1", "d05.data2_ATACTTCGTGGTGATG-1", "d05.data2_CGTCAAAGTTCCTAGA-1", "d05.data2_TGGTACATCAAGTGTC-1", "d05.data2_TCGAACATCGCTGCGA-1", "d05.data2_CTGCAGGGTCTCGGGT-1", "d05.data2_CATTGCCAGGGTAATT-1", "d05.data2_TCTAACTAGGTCTACT-1", "d05.data2_ACTGTGAGTAATACCC-1", "d05.data2_CAGAGCCGTTCATCGA-1", "d05.data2_CCAATTTCAGCAGTAG-1", "d05.data2_TTCTGTATCCGGTAAT-1", "d05.data2_ACACAGTTCGCTACGG-1", "d05.data2_GGGACAAAGAAGCGCT-1", "d05.data2_GACATCATCCACGTCT-1", "d05.data2_CGAGTGCCATGGCTGC-1", "d05.data2_TCTCACGGTCATCCGG-1", "d05.data2_TTATTGCCAGCTTTGA-1", "d05.data2_ACTTATCTCCGTATAG-1", "d05.data2_ATTTCACTCATGAGGG-1", "d05.data2_AGCATCATCCTGCTAC-1", "d05.data2_TGTTCTAGTTATCCAG-1", "d05.data2_ATGCCTCTCTCCACTG-1", "d05.data2_TCTGTCGCAGCGTGAA-1", "d05.data2_GTCAGCGTCCAAGAGG-1", "d05.data2_CGGAACCGTGCTTCAA-1", "d05.data2_AGACTCACACTGAGGA-1", "d05.data2_TATTTCGTCGCATGAT-1", "d05.data2_AAAGGTACACTGTTCC-1", "d05.data2_AGCCAATTCGTCAGAT-1", "d05.data2_TCCCACAAGTTCGGTT-1", "d05.data2_TACACCCCATACTGTG-1", "d05.data2_TGACTCCGTTACAGCT-1", "d05.data2_CATCGTCAGGTTACCT-1", "d05.data2_TATCAGGCAACAAAGT-1", "d05.data2_CCACAAATCTTGTGCC-1", "d05.data2_TCCATCGTCCGCAAAT-1", "d05.data2_TAGTGCAGTCTACGTA-1", "d05.data2_TGATGCAGTATCACCA-1", "d05.data2_AGTGTTGCACTAGAGG-1", "d05.data2_CATCGTCTCCACGGAC-1", "d05.data2_AGAGCCCAGGGTTAGC-1", "d05.data2_TCCTCTTAGACATCCT-1", "d05.data2_TAAGCCAAGTCAGCCC-1", "d05.data2_TATCTTGTCGCTTGCT-1", "d05.data2_CAGCAATTCTAGCAAC-1", "d05.data2_GCTTCACTCGACCTAA-1", "d05.data2_CTAACCCCAAGAAATC-1", "d05.data2_TTCCGTGCAATTGCGT-1", "d05.data2_ATCATTCGTGCCGGTT-1", "d05.data2_GCTCAAACACGATTCA-1", "d05.data2_AGTGTTGCATACGCAT-1", "d05.data2_CTCAGAATCTACCCAC-1", "d05.data2_TAACTTCGTCATGGCC-1", "d05.data2_AGCTCAAAGTCTGGTT-1", "d05.data2_TAGAGTCTCCGGGACT-1", "d05.data2_TCGCTTGCACCCTCTA-1", "d05.data2_GGCACGTAGCTGGTGA-1", "d05.data2_TCTAACTGTTTACCAG-1", "d05.data2_ATGAGGGCAATCGCAT-1", "d05.data2_TGAGGAGCAGCTGCCA-1", "d05.data2_AACAGGGTCGCCGATG-1", "d05.data2_GTTACAGGTTAGTTCG-1", "d05.data2_CGCCATTGTCATGCAT-1", "d05.data2_CGGGCATCACAGCCTG-1", "d05.data2_AACTTCTTCAGCTTGA-1", "d05.data2_CATCCACTCCGCAAAT-1", "d05.data2_AGGGCTCTCTTGAGCA-1", "d05.data2_AACACACGTGTTCCTC-1", "d05.data2_CGTGCTTAGCGTGTTT-1", "d05.data2_CTTTCGGAGAATCGTA-1", "d05.data2_AATCGACTCAGACCGC-1", "d05.data2_CACGTGGGTTGCATTG-1", "d05.data2_CGTCAAAGTACGGATG-1", "d05.data2_ATCGATGCAACACACT-1", "d05.data2_GAGTTGTTCCACCTGT-1", "d05.data2_CATACAGCACTCGATA-1", "d05.data2_ACTTTCAAGGTGCAGT-1", "d05.data2_ATTCTTGTCAAGCCCG-1", "d05.data2_ACCTACCGTGTTCAGT-1", "d05.data2_AACCATGAGTTCCGTA-1", "d05.data2_ACCTGAAAGGTCTACT-1", "d05.data2_GTAACCAGTCCTATAG-1", "d05.data2_AGCGTATTCAGCTTCC-1", "d05.data2_TAAGCACCAGAACTCT-1", "d05.data2_ACGTCCTAGCACCGTC-1", "d05.data2_AAAGGGCAGTGCAAAT-1", "d05.data2_GCTCAAACAGACCAAG-1", "d05.data2_ACACGCGGTGATAGTA-1", "d05.data2_GACTTCCCAACCGTAT-1", "d05.data2_ACAGCCGGTCTCCTGT-1", "d05.data2_CAGCAGCAGCTGGCCT-1", "d05.data2_TCGAACACACCTGCTT-1", "d05.data2_GCTACAAGTAGCGTAG-1", "d05.data2_CTCACTGTCCGGTAGC-1", "d05.data2_ATCTTCATCCATGAGT-1", "d05.data2_CTATCTACACATGTTG-1", "d05.data2_CCTCAACGTGGCTTGC-1", "d05.data2_GAGTTTGAGTCCTGTA-1", "d05.data2_AGGCTGCCATGTAACC-1", "d05.data2_GTAGAAATCCGCGATG-1", "d05.data2_TCCCACAAGCACGTCC-1", "d05.data2_ACCCAAACAATGTCAC-1", "d05.data2_GATCATGCAGGAATAT-1", "d05.data2_AAGACAAAGGTTCATC-1", "d05.data2_GCCAACGTCTGAACGT-1", "d05.data2_GACCAATTCCTCATAT-1", "d05.data2_CCACACTTCCAGCACG-1", "d05.data2_TACAACGCACACCGAC-1", "d05.data2_ACCAAACGTTACTCAG-1", "d05.data2_ATAGGCTGTACAATAG-1", "d05.data2_CACTGAACAACTGAAA-1", "d05.data2_GGAGGTACACCTGAAT-1", "d05.data2_CGGGTCATCGAGCACC-1", "d05.data2_GACCTTCTCCAATCTT-1", "d05.data2_ATGGTTGGTACGAAAT-1", "d05.data2_TAGACTGGTATCATGC-1", "d1.data2_AGACACTCAAGAGAGA-1", "d1.data2_CACTAAGAGTAAGCAT-1", "d1.data2_TCGTGCTAGTACGAGC-1", "d1.data2_CGATGGCAGCTGCGAA-1", "d1.data2_TCTCTGGAGTTGTAGA-1", "d1.data2_TGTAACGAGCTTCGTA-1", "d1.data2_TCGTGCTAGAACAGGA-1", "d1.data2_TGAGCATTCGAGCCAC-1", "d1.data2_GTAGAAAGTTGGGTTT-1", "d1.data2_GTAGAAAAGCCTGACC-1", "d1.data2_TTCTGTACATGTAACC-1", "d1.data2_CTCAAGACATTGAAGA-1", "d1.data2_AGGAGGTGTATCGTGT-1", "d1.data2_CTTCCGAGTTGTGCAT-1", "d1.data2_TGCTCGTGTACTAACC-1", "d1.data2_GCTGCAGAGGTCGCCT-1", "d1.data2_GCCTGTTGTTGGTGTT-1", "d1.data2_TCCTGCACAGAAATCA-1", "d1.data2_GCATCGGAGCTGCGAA-1", "d1.data2_CTGAATGCAAGAGTGC-1", "d1.data2_GTGGGAATCCTGATAG-1", "d1.data2_GCTTCACAGGTAAACT-1", "d1.data2_AAGGAATTCTAGAACC-1", "d1.data2_ACATCGAAGTTTGTCG-1", "d1.data2_GACAGCCAGGCATCGA-1", "d1.data2_TAACGACCAGGTAGTG-1", "d1.data2_TTTATGCCACAACATC-1", "d1.data2_CGTGCTTCATAGATGA-1", "d1.data2_CAGTTAGGTGCATTAC-1", "d1.data2_TCCATGCCATTGGCAT-1", "d1.data2_TTCCACGAGCACTCGC-1", "d1.data2_ACAAAGATCCTCAGGG-1", "d1.data2_TAGGAGGCAATAACCC-1", "d1.data2_GATAGAACATTCGGGC-1", "d1.data2_ATCCCTGAGGTCCCTG-1", "d1.data2_GGTAACTGTCTGTGTA-1", "d1.data2_TCGGGTGGTGTGCCTG-1", "d1.data2_TTCTTCCAGGAGTATT-1", "d1.data2_GTATTGGAGTGCGACA-1", "d1.data2_AGGGTGAGTGATACAA-1", "d1.data2_CTCCATGCATCTGGGC-1", "d1.data2_TCCGAAAGTGCGGTAA-1", "d1.data2_AAAGTGAGTGTGTACT-1", "d1.data2_CTCAATTAGTCAGGGT-1", "d1.data2_TCGAAGTGTGGGATTG-1", "d1.data2_GAGGCAATCAAATGAG-1", "d1.data2_AACGAAAGTTTGGAGG-1", "d1.data2_CAAAGAATCGTAATGC-1", "d1.data2_CCTGTTGCACAGCCTG-1", "d1.data2_AGGCTGCCATGGCTAT-1", "d1.data2_GTAGAGGGTCTTTCTA-1", "d1.data2_CCCGGAAGTACCACGC-1", "d1.data2_AAGAACAGTATAGGAT-1", "d1.data2_TGCATCCGTCTGCGCA-1", "d1.data2_TGGAGGAAGTAACGAT-1", "d1.data2_GACGTTAAGTTGGGAC-1", "d1.data2_CTGTGGGTCTACCACC-1", "d1.data2_TTCAATCGTGAATAAC-1", "d1.data2_TCGCAGGAGATAGCTA-1", "d1.data2_TGACCCTCACACTGGC-1", "d1.data2_GTTGCTCCAAATACAG-1", "d1.data2_ACTTTCAAGCTGAAAT-1", "d1.data2_ACATTTCGTGGCTGAA-1", "d1.data2_CAACGATGTAGGTACG-1", "d1.data2_CCTCAGTGTGTTCCAA-1", "d1.data2_TCGATTTTCAACGCTA-1", "d1.data2_GTGTAACCACAGTATC-1", "d1.data2_GTAGCTAGTAGCCAGA-1", "d1.data2_AGGGTGAAGGCTAGCA-1", "d1.data2_AGAGCCCAGGAAGTCC-1", "d1.data2_CAATCGAAGTACCGGA-1", "d1.data2_ACGATGTCAGCCATTA-1", "d1.data2_TATGTTCTCTGGTGGC-1", "d1.data2_AGTAACCGTCGGCACT-1", "d1.data2_AGGAATAAGTCTCGTA-1", "d1.data2_TGGTGATGTGTGCTTA-1", "d1.data2_GAAGCGAGTATGAGAT-1", "d1.data2_CGAGGCTTCAAACGTC-1", "d1.data2_AAAGGGCGTGAGTCAG-1", "d1.data2_TGTTACTCATTGCCGG-1", "d1.data2_AGGTAGGGTAGCTGCC-1", "d1.data2_AGTGCCGGTTCGATTG-1", "d1.data2_GGGTGAATCACTTCTA-1", "d1.data2_CGCATGGAGTCAACAA-1", "d1.data2_AGTTCGACAGAAGCTG-1", "d1.data2_AAGACTCCACGACGCT-1", "d1.data2_GAATCACTCCAAGAGG-1", "d1.data2_AGGGTGAGTCTTCGAA-1", "d1.data2_TCTGTCGAGTCATGGG-1", "d1.data2_CGAGGAAGTCACCGAC-1", "d1.data2_TGAGGAGGTCACCACG-1", "d1.data2_CCTCAACCAATAGGAT-1", "d1.data2_CCCAACTGTATCGTTG-1", "d1.data2_GGAACCCGTGTTGATC-1", "d1.data2_ACTGTGAGTGAGATAT-1", "d1.data2_AGTAACCAGACGACTG-1", "d1.data2_TACCTCGTCTTGCAGA-1", "d1.data2_TCCATCGGTCTTGAAC-1", "d1.data2_GGTAGAGGTAGAGTTA-1", "d1.data2_CTGATCCTCTGGGATT-1", "d1.data2_CACAGGCGTCTGTTAG-1", "d1.data2_CCGCAAGAGCTTTCTT-1", "d1.data2_GTATTGGGTCCACTCT-1", "d1.data2_CGTCAAAAGAGCAGTC-1", "d1.data2_GTGCACGAGGTTTACC-1", "d1.data2_GGTGAAGCACGCGGTT-1", "d1.data2_CTTGAGATCCTCAGGG-1", "d1.data2_CTGTGAACAAGTTCCA-1", "d1.data2_AAACCCACAAACTGCT-1", "d1.data2_TCGTGCTAGCTCCGAC-1", "d1.data2_TCATTACTCGGACCAC-1", "d1.data2_CATGCCTAGACTACCT-1", "d1.data2_CTGCTCATCGGTGCAC-1", "d1.data2_TGGAGGAAGATGACCG-1", "d1.data2_GCGTGCAAGCGATTCT-1", "d1.data2_CCATAAGCAAGTTGGG-1", "d1.data2_AGTCTCCAGAATAGTC-1", "d1.data2_AATGGAAGTACAGAAT-1", "d1.data2_ATACCGAGTGAGTAGC-1", "d1.data2_GCGATCGGTGCCCACA-1", "d1.data2_AGTTCGAGTAGTGATA-1", "d1.data2_CGAATTGAGCCTCTGG-1", "d1.data2_GCTGAATAGGAGATAG-1", "d1.data2_AAGGTAACAATCTCTT-1", "d1.data2_ATTTCTGCAGTCAGCC-1", "d1.data2_TGCTGAACACTTTAGG-1", "d1.data2_TCGTCCAAGGTGCCAA-1", "d1.data2_GAAATGATCTAACACG-1", "d1.data2_CCCAACTAGAGTGACC-1", "d1.data2_TTACGTTTCGACACCG-1", "d1.data2_TTGGGCGAGTGAGTGC-1", "d1.data2_TCATATCTCCCAAGTA-1", "d1.data2_AGTGATCAGCTCCCTT-1", "d1.data2_GTTCATTAGGCGAAGG-1", "d1.data2_TCTCCGAGTTCTAAGC-1", "d1.data2_GAATAGACATTCTCCG-1", "d1.data2_AGAGCAGCAATAACGA-1", "d1.data2_ACATGCACACATATCG-1", "d1.data2_CGAGTGCCAACTGCTA-1", "d1.data2_TTTACCAGTTAGGAGC-1", "d1.data2_GAAACCTCACAATGCT-1", "d1.data2_TCTGTCGCACTGCTTC-1", "d1.data2_TAGGTTGGTTCTTAGG-1", "d1.data2_TAACGACAGGAAAGAC-1", "d1.data2_CTTCCGAGTTCCGGTG-1", "d1.data2_CAGATACAGGAAAGTG-1", "d1.data2_CTACTATGTTCAGGTT-1", "d1.data2_GCAGCCAAGAATCGAT-1", "d1.data2_TCATTGTCACTGAGGA-1", "d1.data2_TGTGCGGTCTGAGCAT-1", "d1.data2_TCAGTCCCATGATGCT-1", "d1.data2_GCGGAAAAGTCATGGG-1", "d1.data2_GTGATGTCAGTTAGGG-1", "d1.data2_TTTACTGCAGTTCACA-1", "d1.data2_AGGGTGACACTAGAGG-1", "d1.data2_CAGATCACAGAGAATT-1", "d1.data2_TCGGATAGTGACCGTC-1", "d1.data2_GGGTCTGGTCCGAAAG-1", "d1.data2_CCCTTAGGTTCGCGTG-1", "d1.data2_ACATCGATCACTGGGC-1", "d1.data2_GCCAACGAGCCTATTG-1", "d1.data2_TCACGGGAGTAGTGCG-1", "d1.data2_ATCAGGTAGCCGCTTG-1", "d1.data2_TAAGCGTTCGTAGCTA-1", "d1.data2_TTTACGTTCGGTAACT-1", "d1.data2_TTCTGTAAGTCTTCGA-1", "d1.data2_CATTGTTGTTTCGATG-1", "d1.data2_GATAGAACAATCAGCT-1", "d1.data2_AGACACTAGGAGCTGT-1", "d1.data2_GATGACTTCTAAGGAA-1", "d1.data2_CGATGCGTCACCATGA-1", "d1.data2_TAGGTTGCAACCGGAA-1", "d1.data2_TCGGGACTCGATACGT-1", "d1.data2_TCATTGTAGTATTGCC-1", "d1.data2_CAAGCTATCGAGAAAT-1", "d1.data2_GACGCTGCACACGGTC-1", "d1.data2_TGCGGCAAGAGGTTAT-1", "d1.data2_CTTGAGAGTTGACTGT-1", "d1.data2_CCGATCTTCCGGCAGT-1", "d1.data2_TCGATTTGTACAGCGA-1", "d1.data2_TTTATGCCAGCTCGGT-1", "d1.data2_AATGGAAAGGAAAGGT-1", "d1.data2_TACGTCCAGGTCATAA-1", "d1.data2_TCCGTGTGTCGTCAGC-1", "d1.data2_GCAGCTGCATGTGACT-1", "d1.data2_CAGCAGCTCTGGACCG-1", "d1.data2_TGGATGTGTTGCGGCT-1", "d1.data2_AACGAAATCGTGGACC-1", "d1.data2_AAAGGTAAGGTTAGTA-1", "d1.data2_CTTGAGATCCAGCCTT-1", "d1.data2_GTGGTTATCTGCGGAC-1", "d1.data2_CGTTAGAGTAGCGTAG-1", "d1.data2_CACGGGTTCTCCTGAC-1", "d1.data2_TGTAGACAGGATGTTA-1", "d1.data2_TCTCACGTCTCACTCG-1", "d1.data2_AGAACCTGTGATGAAT-1", "d1.data2_GCATCGGTCCGCGATG-1", "d1.data2_AGACCCGAGAAGGCTC-1", "d1.data2_GAAATGACAGCACAAG-1", "d1.data2_CCAATTTCAGTGGGTA-1", "d1.data2_GTGCAGCAGGTGGTTG-1", "d1.data2_GGTCTGGTCGAGCCAC-1", "d1.data2_TGTCAGACAGGTTCGC-1", "d1.data2_ACAAAGAAGGCTCTAT-1", "d1.data2_AGGCATTCATCAGTCA-1", "d1.data2_GGGAAGTGTCAGACTT-1", "d1.data2_GATGTTGCAATCTCTT-1", "d1.data2_AAGCATCTCAAGCCTA-1", "d1.data2_CGGACACCATGTGCCG-1", "d1.data2_GTTACAGAGTTCGGTT-1", "d1.data2_CAACGGCTCTTGATTC-1", "d1.data2_TGGGATTAGTCATCCA-1", "d1.data2_GTCGTTCGTCACTTAG-1", "d1.data2_CATTGAGGTTATCTGG-1", "d1.data2_AGTGACTCATGGGAAC-1", "d1.data2_ACTTATCTCAAGGACG-1", "d1.data2_AGACAGGAGGCAGGGA-1", "d1.data2_TCATGAGCAATTGCAC-1", "d1.data2_AAGTACCGTTTGCAGT-1", "d1.data2_GGGATCCAGACATCAA-1", "d1.data2_TTTGTTGAGCACTGGA-1", "d1.data2_CTAGACATCGTCGACG-1", "d1.data2_GACGCTGTCCGTACGG-1", "d1.data2_CATACTTCAAGTTCGT-1", "d1.data2_ACCAAACAGTTTCGGT-1", "d1.data2_AGCCAGCCATGACACT-1", "d1.data2_TGAGGAGGTTCGTTCC-1", "d1.data2_TGGAGGAGTCCTGGGT-1", "d1.data2_CAGATTGTCTGTTCAT-1", "d1.data2_CCAAGCGTCATTGTGG-1", "d1.data2_TATTCCATCCCAATAG-1", "d1.data2_TACGGGCAGCGGATCA-1", "d1.data2_TGCCGAGGTGGAACAC-1", "d1.data2_TTGAGTGCACATTACG-1", "d1.data2_ACTACGAAGGATACCG-1", "d1.data2_GTTCATTGTATCGCTA-1", "d1.data2_TTGAGTGCAGACCATT-1", "d1.data2_AGGACTTGTCATACCA-1", "d1.data2_TAAGCGTGTTCACGAT-1", "d1.data2_TACTTGTGTCTACAGT-1", "d1.data2_GGTCACGTCTGTGCAA-1", "d1.data2_GCTCAAATCACCTTGC-1", "d1.data2_TTCTTCCTCGGTCTGG-1", "d1.data2_TCAATCTAGGAAGTCC-1", "d1.data2_CGTGAATGTCCACACG-1", "d1.data2_GAATAGATCCAACACA-1", "d1.data2_TCATCATAGGCATCTT-1", "d1.data2_CGTGCTTCAATGTCAC-1", "d1.data2_GTCTTTACACTTCCTG-1", "d1.data2_AGGTCTATCGAACCTA-1", "d1.data2_GACGTTAGTGGTTTAC-1", "d1.data2_AATCGTGGTTAAGTCC-1", "d1.data2_AGGTGTTGTTTACTTC-1", "d1.data2_ACTGCAACAGCCGTCA-1", "d1.data2_CCTAAGAGTATGGAAT-1", "d1.data2_CGCCATTCAGCGACAA-1", "d1.data2_GAATCGTCATACCAGT-1", "d1.data2_GTGAGGAAGCCACAAG-1", "d1.data2_GGTGGCTCATGGTACT-1", "d1.data2_AGTGTTGCAGCGCGTT-1", "d1.data2_TTTCGATTCATACAGC-1", "d1.data2_GTGTTAGCATTCTTCA-1", "d1.data2_TACAACGAGTAGGTTA-1", "d1.data2_GATTCTTTCGGTGCAC-1", "d1.data2_ATGCGATCAAATGGAT-1", "d1.data2_TATCTTGAGGAACTAT-1", "d1.data2_TCAAGACGTGCATACT-1", "d1.data2_CGTTAGATCGCCTTTG-1", "d1.data2_CCCAACTAGTAAGAGG-1", "d1.data2_CTGCGAGTCATGGGAG-1", "d1.data2_CTTAGGAAGGAGTACC-1", "d1.data2_ATTATCCTCGCAAGAG-1", "d1.data2_GAAATGAAGACCGCCT-1", "d1.data2_CACTTCGAGCGATTCT-1", "d1.data2_CCCATTGAGGCTTAGG-1", "d1.data2_TAACCAGTCCCTTCCC-1", "d1.data2_ATCATTCAGAACGTGC-1", "d1.data2_ACTTCCGCATCCAACA-1", "d1.data2_CTGTATTGTCAAATCC-1", "d1.data2_TCTACATAGATCCCAT-1", "d1.data2_ATTACCTAGATCGACG-1", "d1.data2_CGTCAAAAGTTCATGC-1", "d1.data2_AGGTCATTCGCGGTAC-1", "d1.data2_CCGTGAGGTCGAAGCA-1", "d1.data2_CTCAACCAGCTAGATA-1", "d1.data2_GGAGATGAGTCAGAGC-1", "d1.data2_GCCAGCAGTTACGGAG-1", "d1.data2_TGAATGCCACCTTCGT-1", "d1.data2_CAGCAATAGCAAGCCA-1", "d1.data2_ACCTACCGTACTCGCG-1", "d1.data2_AGGGTTTTCATCGGGC-1", "d1.data2_TTCTCTCGTTAAGGAT-1", "d1.data2_GTATTGGCAATTGTGC-1", "d1.data2_AGAACAATCGACTCCT-1", "d1.data2_AGGAATAGTGTCCATA-1", "d1.data2_TGTTCATTCCTCATAT-1", "d1.data2_TCTTGCGGTCCCGCAA-1", "d1.data2_TTTGACTTCCTGTAGA-1", "d1.data2_GTCATCCGTTTGCCGG-1", "d1.data2_ACTTCGCTCGGTGTTA-1", "d1.data2_TGTAACGTCATGACAC-1", "d1.data2_ATCCGTCCACGTCGTG-1", "d1.data2_CGGGTCAGTCGAGCTC-1", "d1.data2_GCCAGTGAGGACGGAG-1", "d1.data2_GATAGCTAGTCCTACA-1", "d1.data2_AGATAGACACCTTCCA-1", "d1.data2_TGCAGGCCATGTTTGG-1", "d1.data2_AGCATCATCGTCAGAT-1", "d1.data2_GCACTAATCTACGCGG-1", "d1.data2_AACCCAAAGGGCAAGG-1", "d1.data2_AGGGTGAAGTTAACAG-1", "d1.data2_CTCTGGTAGGATTTAG-1", "d1.data2_GTGGAAGCACCGTGAC-1", "d1.data2_GTCACGGAGTCAAGCG-1", "d1.data2_TAAGCGTAGTCATAGA-1", "d1.data2_TAGGGTTAGAGTGGCT-1", "d1.data2_TCCACGTTCAGCCTCT-1", "d1.data2_CTATCTACAGCTAACT-1", "d1.data2_GGTGATTCATGAGAAT-1", "d1.data2_GAGATGGCATGCCATA-1", "d1.data2_TTTCACATCCTCGCAT-1", "d1.data2_CCGATGGTCGGCTTGG-1", "d1.data2_ATTGGGTGTGGTTCTA-1", "d1.data2_TGGGAAGTCTATGTGG-1", "d1.data2_TCAAGCAAGGAGGTTC-1", "d1.data2_TGGAGAGAGATTAGAC-1", "d1.data2_TCATTGTGTCCTACAA-1", "d1.data2_CAACCTCTCTATACGG-1", "d1.data2_CATGCGGCAGCTATTG-1", "d1.data2_AATCACGGTGCGACAA-1", "d1.data2_CCGGTGAAGAATAGTC-1", "d1.data2_GGTGTCGTCGGTTCAA-1", "d1.data2_CACCGTTTCCGCCTAT-1", "d1.data2_CAAAGAAAGACTTCAC-1", "d1.data2_TTTCGATTCGGTAACT-1", "d1.data2_AGATAGAGTGCGAACA-1", "d1.data2_ATGAAAGTCTCCAAGA-1", "d1.data2_GGCTTTCCAGAAGCGT-1", "d1.data2_GAAGGGTAGCGCTGCT-1", "d1.data2_TCCCATGAGACATGCG-1", "d1.data2_CCCTGATAGTTTGAGA-1", "d1.data2_ATCGTAGGTCACCGCA-1", "d1.data2_AGGCTGCCAACGATTC-1", "d1.data2_ATTTCACAGTAAACGT-1", "d1.data2_TCCATCGGTCATCCCT-1", "d1.data2_TCTATCAAGTCATCGT-1", "d1.data2_GCCAGGTAGTCATTGC-1", "d1.data2_GACCCTTTCGCGCCAA-1", "d1.data2_ACCTACCAGGTCACAG-1", "d1.data2_CGAGGCTCAAATTGCC-1", "d1.data2_GTTGAACAGTATGACA-1", "d1.data2_TTCATTGTCGCTGTCT-1", "d1.data2_CTACTATAGTCTGCGC-1", "d1.data2_GTCCCATTCCGACATA-1", "d1.data2_GTTCGCTAGCAAATCA-1", "d1.data2_ACGTACAAGCGGACAT-1", "d1.data2_TAAGCCAAGTGTACAA-1", "d1.data2_TGAGGTTCATCTCGTC-1", "d1.data2_GTGGAGAGTCGGCTAC-1", "d1.data2_GATGAGGCACCGCTAG-1", "d1.data2_TCTATCAGTGTCATGT-1", "d1.data2_TGCGATACAACACGAG-1", "d1.data2_GTTCCGTAGACTTAAG-1", "d1.data2_GCACATAGTCATAACC-1", "d1.data2_GCTACAACACATATGC-1", "d1.data2_TAACGACCATCTTTCA-1", "d1.data2_ACCTGAACATCATCTT-1", "d1.data2_CTACCTGCACGTACAT-1", "d1.data2_ACTCTCGCAGTCTCTC-1", "d1.data2_CGAGAAGAGTAGTCAA-1", "d1.data2_CACATGATCTGTTCAT-1", "d1.data2_AGTGACTCATAGAATG-1", "d1.data2_AATGCCAAGAAGCCAC-1", "d1.data2_AGTACCACACTATCGA-1", "d1.data2_ACTATGGGTTGCCATA-1", "d1.data2_TGTGCGGGTGTTGACT-1", "d1.data2_TGACCCTAGGCAGGGA-1", "d1.data2_ATCGGATAGGTCTGGA-1", "d1.data2_AGTCAACAGATCCCGC-1", "d1.data2_CGCCATTCAGCAGTAG-1", "d1.data2_GATCAGTAGGTTCATC-1", "d1.data2_TTACTGTCAGGCAATG-1", "d1.data2_TCACGCTAGTAGACCG-1", "d1.data2_GAGCTGCGTTGCGTAT-1", "d1.data2_GGGACTCTCGTTTACT-1", "d1.data2_TGTTACTAGCTCTGTA-1", "d1.data2_GTCCACTGTCATCCCT-1", "d1.data2_CTGATCCGTTACCTGA-1", "d1.data2_AGGGTCCTCAGTCAGT-1", "d1.data2_CTCAATTGTGACAACG-1", "d1.data2_GTGGTTAGTCCAAAGG-1", "d1.data2_AGTCTCCGTCTTGCTC-1", "d1.data2_AGTAGTCCACTTGACA-1", "d1.data2_GTCAAACAGTATGAGT-1", "d1.data2_TAGGAGGGTCAACATC-1", "d1.data2_CTGCCATTCGCAATGT-1", "d1.data2_GTTTACTAGTCACTAC-1", "d1.data2_AGGCTGCAGGTGATCG-1", "d1.data2_TATTGCTTCACCTCTG-1", "d1.data2_TGACAGTGTGACACGA-1", "d1.data2_AGGATCTAGCCTTGAT-1", "d1.data2_CATAAGCGTCAGACTT-1", "d1.data2_TGGGATTAGTGCTAGG-1", "d1.data2_CCACACTCAGGACAGT-1", "d1.data2_GTGCTTCTCATCGTAG-1", "d1.data2_CCACTTGGTGTCTCCT-1", "d1.data2_ACTTATCCATACTTTC-1", "d1.data2_TCGACCTTCTCCAATT-1", "d1.data2_GCCCAGAGTAAGCGGT-1", "d1.data2_AATGACCAGGAGAGTA-1", "d1.data2_TGTTACTAGAGCTGAC-1", "d1.data2_ATCAGGTCAACGTATC-1", "d1.data2_CCTCACATCATCGACA-1", "d1.data2_ATCGGCGGTAACGCGA-1", "d1.data2_CACCGTTTCGTTCGCT-1", "d1.data2_TCCACGTTCCTTATAC-1", "d1.data2_TCGGATAGTTGCTTGA-1", "d1.data2_GAGTGAGGTTCCACGG-1", "d1.data2_GGGCCATGTTCCGCAG-1", "d1.data2_ATCAGGTTCCATAAGC-1", "d1.data2_CACGGGTCAGTCTGGC-1", "d1.data2_CAGTTCCAGATCACTC-1", "d1.data2_TGATGGTCAGTAGTGG-1", "d1.data2_CAACGATCACGGTGTC-1", "d1.data2_AGCGTATGTACGAAAT-1", "d1.data2_GACCCAGGTTTCCCAC-1", "d1.data2_CAACGATAGACAGCTG-1", "d1.data2_GTCTGTCAGGCACTAG-1", "d1.data2_GTTGTGATCTAGCCTC-1", "d1.data2_CAATTTCCAGCATCTA-1", "d1.data2_ACCACAAAGACCATTC-1", "d1.data2_CTCGAGGTCCCATTTA-1", "d1.data2_AGTAGTCCACCGGCTA-1", "d1.data2_ACCAAACAGCGTCTGC-1", "d1.data2_TGGGATTCACCCTAGG-1", "d1.data2_AGTCACAAGAGTCGAC-1", "d1.data2_ACCCAAAGTACCTAGT-1", "d1.data2_CATCGTCAGTCGGCCT-1", "d1.data2_GCACATAGTGGCTTGC-1", "d1.data2_AACGGGATCGCCACTT-1", "d1.data2_TGCATGAGTCATTCCC-1", "d1.data2_CATAAGCTCATGCATG-1", "d1.data2_AGGTTGTCAAATACGA-1", "d1.data2_CCTTCAGGTGCCTGAC-1", "d1.data2_TATGTTCCATGGGCAA-1", "d1.data2_CAATACGTCCCGGTAG-1", "d1.data2_GTCTTTAAGCGTGAGT-1", "d1.data2_TGTTGGATCGTGCACG-1", "d1.data2_CTGTACCCACTTCAAG-1", "d1.data2_CTCTCGATCTCCGCAT-1", "d1.data2_AGGATCTGTTACGATC-1", "d1.data2_CTACGGGCAAATCAGA-1", "d1.data2_TCAGCAATCGACACTA-1", "d1.data2_TCAAGACTCTGTAACG-1", "d1.data2_GCCGTGATCGGTCTAA-1", "d1.data2_CTACCTGTCCACGGAC-1", "d1.data2_ATAGACCCAGGACAGT-1", "d1.data2_CAGGGCTGTAAGAACT-1", "d1.data2_CCTCCAAAGCACGTCC-1", "d1.data2_GTCTAGAAGGTTAAAC-1", "d1.data2_ATTCCCGCAATTCTCT-1", "d1.data2_CTCATGCTCGAGCCTG-1", "d1.data2_TCATTCAAGCTCATAC-1", "d1.data2_CATAAGCCAGGAACCA-1", "d1.data2_TGGGCTGTCTAGAACC-1", "d1.data2_AAGTGAATCTCTGAGA-1", "d1.data2_AGCTCAATCGCAGATT-1", "d1.data2_TAGATCGCAATTGCAC-1", "d1.data2_GATGAGGCAGCGTGCT-1", "d1.data2_TCAATCTGTCTTCTAT-1", "d1.data2_TCAGTGACATTCAGCA-1", "d1.data2_TCCGGGATCCATACTT-1", "d1.data2_ACCCAAAGTGATCGTT-1", "d1.data2_CCACGTTTCATGAGAA-1", "d1.data2_ATCCATTTCCCAGGAC-1", "d1.data2_GCGGATCAGGGAGTTC-1", "d1.data2_GTAGGAGTCTCTGCCA-1", "d1.data2_ATATCCTAGCACCAGA-1", "d1.data2_TCTGGCTGTCTACAGT-1", "d1.data2_GTGATGTCAAACTAGA-1", "d1.data2_CATGCAACAACACTAC-1", "d1.data2_CTCAATTCAAGAATAC-1", "d1.data2_AGTACCATCAAGCCCG-1", "d1.data2_GGTGAAGGTCGAAACG-1", "d1.data2_GACAGCCGTTACCTGA-1", "d1.data2_CAGCAGCAGTGTTGAA-1", "d1.data2_TGTTGAGAGCTGACCC-1", "d1.data2_CGGAGAACACTTGAAC-1", "d1.data2_GGGCTACAGTGATTCC-1", "d1.data2_TGCGACGCACTGGCCA-1", "d1.data2_TCAGCCTTCTACTGAG-1", "d1.data2_CATGCCTTCTGTAAGC-1", "d1.data2_CAAGACTCAACGATTC-1", "d1.data2_GGGACAAGTATCTTCT-1", "d1.data2_TCTGGCTGTTCACGAT-1", "d1.data2_CGCATGGCAGCTAACT-1", "d1.data2_CCCTCAAGTGCCTTCT-1", "d1.data2_TTGCTGCCACTCTCGT-1", "d1.data2_ACCCAAACAACCAACT-1", "d1.data2_TACCCACTCACATCAG-1", "d1.data2_CCTGCATAGGCTTAAA-1", "d1.data2_AGTTAGCCATAGGAGC-1", "d1.data2_TGTTCCGAGGCGCTCT-1", "d1.data2_CCTTCAGTCCATATGG-1", "d1.data2_CACTAAGTCGTAGAGG-1", "d1.data2_ATGAGTCAGCGACTTT-1", "d1.data2_CCCTCAATCCAACTAG-1", "d1.data2_GGAGAACAGTAACGTA-1", "d1.data2_ATTCACTTCCTTCTGG-1", "d1.data2_GTACAACTCTCTTCAA-1", "d1.data2_CACTGAAAGTATGTAG-1", "d1.data2_ATCCTATGTGATTCTG-1", "d1.data2_GACTTCCTCGTGAGAG-1", "d1.data2_GCGTGCACACAGTGTT-1", "d1.data2_AGACTCATCTGCCTGT-1", "d1.data2_CATGCGGTCGGTTGTA-1", "d1.data2_CATAAGCAGTTTCGAC-1", "d1.data2_TATCGCCCAATGACCT-1", "d1.data2_CTAGACATCTCCAAGA-1", "d1.data2_GTCCACTTCGGTCGGT-1", "d1.data2_CATCCGTAGGTTAAAC-1", "d1.data2_AATGGCTAGCAAATCA-1", "d1.data2_ACTGTCCAGGTTTACC-1", "d1.data2_ACAAGCTCAAAGGCGT-1", "d1.data2_CATGAGTCAACCTATG-1", "d1.data2_TACCCACTCGTGCGAC-1", "d1.data2_GATCACATCACCGGGT-1", "d1.data2_CACAGGCAGCCAGTAG-1", "d1.data2_CATAAGCTCATCACTT-1", "d1.data2_TCGTAGATCCATTTCA-1", "d1.data2_CCTCCTCCACGAAAGC-1", "d1.data2_CTCCCAAGTAAGTCAA-1", "d1.data2_TCACACCCAGATACCT-1", "d1.data2_CAACAGTAGTGCACTT-1", "d1.data2_GCACGGTTCAGGCGAA-1", "d1.data2_TCTCACGTCCTACAAG-1", "d1.data2_CCTCAACCACTTTATC-1", "d1.data2_CCTGCATGTGCCTTCT-1", "d1.data2_AGCCACGTCCTACAAG-1", "d1.data2_AACCATGGTGGCAACA-1", "d1.data2_ATTCCCGTCCATGCAA-1", "d1.data2_GAACACTCACAACATC-1", "d1.data2_AAGACTCCACGATAGG-1", "d1.data2_TTCGCTGGTTGTTGCA-1", "d1.data2_CCTTCAGGTGCCCTTT-1", "d1.data2_AACTTCTGTACGTGTT-1", "d1.data2_CTTCTAATCTCTTGCG-1", "d1.data2_TCCGGGATCACGATCA-1", "d1.data2_GTAACACAGAGTCGAC-1", "d1.data2_AACCTTTGTCCGCAGT-1", "d1.data2_GTGGTTAAGAATCCCT-1", "d1.data2_GTTACCCCAAACTAAG-1", "d1.data2_TTTCCTCTCTCCCAAC-1", "d1.data2_CCTCACAGTGGCTACC-1", "d15.data_AGACCATGTAAGATAC-1", "d15.data_TCAATTCGTTAAGACA-1", "d15.data_GTGAGGATCGCCTAGG-1", "d15.data_CTCCAACTCATCCTAT-1", "d15.data_TTCACGCGTCCCGGTA-1", "d15.data_TCACACCGTGGCGCTT-1", "d15.data_GGTAGAGTCACCTCGT-1", "d15.data_CGAGTGCGTCCAGCGT-1", "d15.data_CGAAGTTGTTCGGCTG-1", "d15.data_AAGCGAGTCTGCGTCT-1", "d15.data_AATGGCTTCTGACGCG-1", "d15.data_ATCGGCGCAACTGTGT-1", "d15.data_TCGTGCTTCCATGATG-1", "d15.data_CCGTGAGTCGCGTAGC-1", "d15.data_ACACTGATCCTGGCTT-1", "d15.data_TCGTGCTCAACGTTAC-1", "d15.data_TTTGACTCAGTCGGTC-1", "d15.data_TTCATGTAGAGTTGCG-1", "d15.data_ATGGATCAGCTAGAAT-1", "d15.data_AAGTGAAAGTTGTCGT-1", "d15.data_GTGACGCAGAGCATCG-1", "d15.data_TCACGGGGTAGGGAGG-1", "d15.data_TCTAACTTCTCTATGT-1", "d15.data_AGAGCAGGTTCGAAGG-1", "d15.data_GTCAAGTAGATGGTCG-1", "d15.data_TGCTTCGAGGGAGTTC-1", "d15.data_AGCGCTGCAGAGGTTG-1", "d15.data_TCGTGGGCAGTCGCTG-1", "d15.data_AGAGCAGTCGCATAGT-1", "d15.data_AAATGGAAGCGTCAAG-1", "d15.data_TGCTTGCTCTGGGTCG-1", "d15.data_AGAGAATAGCCTCCAG-1", "d15.data_TAGGTACTCAGTGGGA-1", "d15.data_CCGATCTCAGAAGCGT-1", "d15.data_TACTTCAAGAGTCGAC-1", "d15.data_GAGTGAGAGGTAACTA-1", "d15.data_GTAGGAGTCAGTGTTG-1", "d15.data_CTGTCGTGTCGACTTA-1", "d15.data_TCCGTGTGTGGGCTCT-1", "d15.data_TGTGATGTCGTGAGAG-1", "d15.data_TAGGTTGAGATCCCAT-1", "d15.data_TCGACCTCAGGACATG-1", "d15.data_ACTGATGAGGTTGGTG-1", "d15.data_ATTCGTTGTAGACTGG-1", "d15.data_GTCGTTCAGGCCTAGA-1", "d15.data_AGTCACAAGTGTAGAT-1", "d15.data_TATGTTCGTCTCAAGT-1", "d15.data_CCGTAGGAGGCAGTCA-1", "d15.data_TCGGGTGAGTCATCCA-1", "d15.data_TCGTGCTTCCATTTAC-1", "d15.data_CATGCAAGTAGAGCTG-1", "d15.data_GATCATGGTTGAGAGC-1", "d15.data_CCTCTCCTCGGTCGAC-1", "d15.data_ATTATCCAGAGTTGCG-1", "d15.data_TGACGCGTCGTAGTCA-1", "d15.data_CGAAGTTAGAGGTATT-1", "d15.data_AATGACCGTCGCTTGG-1", "d15.data_TCACACCCATGACGGA-1", "d15.data_TCAGCAAGTGAGTAGC-1", "d15.data_GAGCTGCGTCGCGTTG-1", "d15.data_AGAAGCGTCGTTCATT-1", "d15.data_TGGGCTGAGCGTTACT-1", "d15.data_TTTGACTCACATCCCT-1", "d15.data_ACTCTCGGTGAGCTCC-1", "d15.data_TATCTTGGTCCGGTGT-1", "d15.data_TGTGGCGAGTAACAGT-1", "d15.data_GCGATCGTCGCATAGT-1", "d15.data_TGGCGTGGTCGGTACC-1", "d15.data_CTGTGGGTCTCCAAGA-1", "d15.data_GGGTTATCAAGTGGGT-1", "d15.data_CCCTGATTCTAGATCG-1", "d15.data_TACGGGCTCAGGGATG-1", "d15.data_TCAAGCAGTCGGAAAC-1", "d15.data_GGGAGATTCAACCTTT-1", "d15.data_AGTGTTGGTTCTGAGT-1", "d15.data_GAGTCATGTAGCTAAA-1", "d15.data_TTGAGTGGTCCTTAAG-1", "d15.data_GGATCTAGTGAATGTA-1", "d15.data_GACCTTCGTTCCGCAG-1", "d15.data_CGTGAATAGTTGGAAT-1", "d15.data_AGAACAAAGGTAGCAC-1", "d15.data_TATTTCGTCAGCTGAT-1", "d15.data_GATGTTGTCTGGGAGA-1", "d15.data_TCTCAGCAGAAAGCGA-1", "d15.data_ATCCGTCGTTTGATCG-1", "d15.data_GTCAAGTAGGCGAAGG-1", "d15.data_GAAGGGTGTCGTGTTA-1", "d15.data_AGGCTGCGTAGAGCTG-1", "d15.data_AGAGAATGTGATAGAT-1", "d15.data_TGTTCATGTCACGACC-1", "d15.data_GTAACACTCGTGGCGT-1", "d15.data_CTTCCTTAGTCTCCTC-1", "d15.data_TACCGGGAGCACAAAT-1", "d15.data_ATCGTGAAGTCATGGG-1", "d15.data_GTCATGATCCTCACGT-1", "d15.data_TGTTTGTAGACGGAAA-1", "d15.data_CTGGACGAGCTTCATG-1", "d15.data_TCCATGCGTCGAGATG-1", "d15.data_TTCAGGAGTGCACGCT-1", "d15.data_TCAGTGAAGGCAGTCA-1", "d15.data_GTCCTCACACGCCAGT-1", "d15.data_AGACTCAAGTTCATCG-1", "d15.data_GACACGCCACTCTAGA-1", "d15.data_TGGTGATAGTCGTCTA-1", "d15.data_GTAGTACAGTGCACAG-1", "d15.data_ATTGGGTAGGTTAGTA-1", "d15.data_AGCGATTAGTGTTCAC-1", "d15.data_AGCCAGCTCGTGTGGC-1", "d15.data_CGTGTCTGTAGGAAAG-1", "d15.data_GGTGTTAGTGTTAAAG-1", "d15.data_GTGCTTCCAGTCGAGA-1", "d15.data_CAGCCAGAGAGCGACT-1", "d15.data_CCATCACCAAGAGCTG-1", "d15.data_TCCACGTCATGGGAAC-1", "d15.data_TCATCCGAGAGCTGAC-1", "d15.data_GGGCGTTAGTGCAAAT-1", "d15.data_GGCGTCACAGGAACCA-1", "d15.data_ACGATGTAGCACACCC-1", "d15.data_TCGCTTGCAGCAGTGA-1", "d15.data_GACGCTGTCCTAGAGT-1", "d15.data_GACTGATAGTCAGCGA-1", "d15.data_CCATCACCATAGGAGC-1", "d15.data_GTCGTTCCATCATTTC-1", "d15.data_GCTTCACAGACGACGT-1", "d15.data_ATGAGTCAGTCTCTGA-1", "d15.data_CTAAGTGTCAGGAAAT-1", "d15.data_GGAGGTACACCAGTAT-1", "d15.data_GGCTTGGAGGCGTTAG-1", "d15.data_CATTCATCAGCGACCT-1", "d15.data_GCCAGTGTCGTTCGCT-1", "d15.data_TCTTTGAGTACAGGTG-1", "d15.data_GAGGCAAAGCCATTTG-1", "d15.data_CTACTATGTTGCGTAT-1", "d15.data_GTTACCCAGATACATG-1", "d15.data_TTTACTGAGCTTAAGA-1", "d15.data_GTCTCACGTAGGAAAG-1", "d15.data_CCTTCAGCAACGTATC-1", "d15.data_GCGTGCAGTCCTCCTA-1", "d15.data_AACGGGAGTGTATTCG-1", "d15.data_TCGACCTAGACGTCCC-1", "d15.data_GCTGCAGGTTGTCTAG-1", "d15.data_TCGGGCACACAATGTC-1", "d15.data_GATCCCTAGGCAGTCA-1", "d15.data_GTAGAAAAGTTAGTAG-1", "d15.data_AAGCGAGTCGTTCTAT-1", "d15.data_TGGGCGTCATCTTCGC-1", "d15.data_GTTCCGTGTTTATGCG-1", "d15.data_TAGGTTGGTTATGGTC-1", "d15.data_TTAGGCATCGCCTTGT-1", "d15.data_AGACTCAGTGAAAGTT-1", "d15.data_TTGTGGAGTACCAGAG-1", "d15.data_GACATCAAGCGCCGTT-1", "d15.data_GACGTTAGTCTCGGGT-1", "d15.data_GGAGAACAGGTGCCAA-1", "d15.data_ACTTCCGTCGAATCCA-1", "d15.data_TCATACTGTCTTCATT-1", "d15.data_TGTTGGACAGAGAAAG-1", "d15.data_ACGTAACGTATGGTAA-1", "d15.data_GAAGGACCAGCCCAGT-1", "d15.data_CGATCGGCATGACCCG-1", "d15.data_CCGTAGGAGGAACGAA-1", "d15.data_GATCACACAAGCAGGT-1", "d15.data_GATAGAATCGCCGAGT-1", "d15.data_ACAGAAATCTCCGTGT-1", "d15.data_ACTTATCGTGTCGATT-1", "d15.data_CTGATCCTCGAGAGAC-1", "d15.data_TAAGCGTTCGTCGGGT-1", "d15.data_GTGGCGTAGCCTTCTC-1", "d15.data_TATCGCCGTGTGCCTG-1", "d15.data_TATTCCATCGAACGCC-1", "d15.data_AGGGTCCAGGTCGTGA-1", "d15.data_GTCTCACCACAACGTT-1", "d15.data_TGAGCGCGTACCGGAA-1", "d15.data_AGAGCAGTCGGAATTC-1", "d15.data_CAATTTCTCATGGTAC-1", "d15.data_GAAGAATGTGACTCTA-1", "d15.data_TCATGGAGTGAACCGA-1", "d15.data_ATCATTCAGCTCGCAC-1", "d15.data_CGGAATTTCCTCAGGG-1", "d15.data_GAAGAATGTCTCACAA-1", "d15.data_GGTTAACCACTGCACG-1", "d15.data_TATCCTATCATTCTTG-1", "d15.data_ACTGTCCGTGATGAAT-1", "d15.data_TAAGCCAGTTTGATCG-1", "d15.data_CACGGGTAGCAGTACG-1", "d15.data_ATTCCTAGTTGTGGAG-1", "d15.data_GCACGGTCACACGGTC-1", "d15.data_AGCTTCCAGGTGATCG-1", "d15.data_GGGTCTGGTCTAGGCC-1", "d15.data_TTAGTCTTCTTACCAT-1", "d15.data_GTCAAGTCATCTTCGC-1", "d15.data_CTGAGGCAGAACAGGA-1", "d15.data_TTCATTGGTAGAGGAA-1", "d15.data_CTTCTCTGTCGAATTC-1", "d15.data_GCCAACGCACTAAACC-1", "d15.data_AGGATAACATTCGATG-1", "d15.data_TTCCTTCGTTTGATCG-1", "d15.data_TTTCGATAGAGAGTGA-1", "d15.data_GTTAGTGGTAACAAGT-1", "d15.data_ATGAGGGAGCTAGATA-1", "d15.data_ATGTCTTGTTTCGATG-1", "d15.data_GAATCGTTCGTAGAGG-1", "d15.data_TCTTCCTCACAAATCC-1", "d15.data_AGGGTTTGTTGTTGAC-1", "d15.data_GGGTGTCCATTGAGGG-1", "d15.data_ATAGGCTCATACAGGG-1", "d15.data_GAGCTGCTCGTAGTGT-1", "d15.data_GAGGGTATCTGGCTGG-1", "d15.data_CGCCAGATCGGAAACG-1", "d15.data_ACATCCCTCAAGGACG-1", "d15.data_AGAGCCCTCGTTAGAC-1", "d15.data_CAAGAGGTCAGACAAA-1", "d15.data_GACAGCCCAGGTGGAT-1", "d15.data_TGGATCACACAAGTGG-1", "d15.data_GGAGCAACAATTTCTC-1", "d15.data_AATCGTGAGATGGCGT-1", "d15.data_TACTTGTGTATCGTTG-1", "d15.data_CGATGGCTCGCTCCTA-1", "d15.data_TCTCTGGAGATTGCGG-1", "d15.data_CATACAGAGCCGTAAG-1", "d15.data_AGACTCAGTCGGTAAG-1", "d15.data_ACTATTCGTAGTCGTT-1", "d15.data_CATCGGGTCGATGCTA-1", "d15.data_TGGGCGTTCGTTCCTG-1", "d15.data_AAGTCGTGTCAGTCTA-1", "d15.data_TTTGGTTAGATCCCAT-1", "d15.data_GCACGTGGTCGGCTAC-1", "d15.data_TTGATGGTCGGAGCAA-1", "d15.data_CTGCAGGGTTGCCTAA-1", "d15.data_TATATCCAGGTGAGCT-1", "d15.data_TAGATCGCATTCAGGT-1", "d15.data_ATCACAGAGCAGGCAT-1", "d15.data_CTACATTCAGACACAG-1", "d15.data_CCTATCGGTACATTGC-1", "d15.data_GTCGTTCTCCATTGCC-1", "d15.data_GTCGTTCCATCGTGCG-1", "d15.data_AATCACGTCGTAGAGG-1", "d15.data_ATGGGTTAGGGATCAC-1", "d15.data_CTGTGGGGTATGGGAC-1", "d15.data_TTGGGATGTATAATGG-1", "d15.data_CTTTCAACAGTCGCTG-1", "d15.data_GGGATGAGTTAGAAGT-1", "d15.data_AGTTAGCGTGTTGATC-1", "d15.data_TTGCATTTCCATGCAA-1", "d15.data_CAGGGCTAGCAGCAGT-1", "d15.data_AATCGACAGCGCTGAA-1", "d15.data_GTCTAGACAACATCGT-1", "d15.data_TACCGAAGTGGAAGTC-1", "d15.data_CAGTGCGGTCAAGCCC-1", "d15.data_TTGCCTGTCAAGCGTT-1", "d15.data_CATGGTAGTTGCGGAA-1", "d15.data_CATTTCATCGGTCAGC-1", "d15.data_GTGTCCTGTTTCGTAG-1", "d15.data_CCCTTAGTCTCGACGG-1", "d15.data_GATTCGACACTACCCT-1", "d15.data_ATCAGGTTCTGTACAG-1", "d15.data_AAACGCTGTGGATGAC-1", "d15.data_AGGCATTAGGCTATCT-1", "d15.data_CGGGTGTGTGGCTACC-1", "d15.data_GAGTGAGAGCAGAAAG-1", "d15.data_GTCAGCGGTGCTCGTG-1", "d15.data_CATACAGCAATCGCAT-1", "d15.data_AACAGGGAGATCCCAT-1", "d15.data_TGTGTGATCTCTGCCA-1", "d15.data_ATGCCTCGTAAGATAC-1", "d15.data_CATGCTCGTGCATGAG-1", "d15.data_ATCACGACACGACTAT-1", "d15.data_CTTGATTGTTGTGCAT-1", "d15.data_CTATAGGGTGATGAAT-1", "d15.data_AGTAGCTAGTGATAAC-1", "d15.data_CCTCCTCTCGAAACAA-1", "d15.data_AATGAAGGTTTAGAGA-1", "d15.data_GAATCGTGTGTGAGCA-1", "d15.data_TCAAGTGCACCAGACC-1", "d15.data_ACGTCCTGTCTTGCGG-1", "d15.data_GTCAGCGTCACTGGTA-1", "d15.data_TGTGAGTAGGAACGCT-1", "d15.data_TCCGAAAAGTCGAGGT-1", "d15.data_CATGAGTGTTAATGAG-1", "d15.data_TACCGAAGTCATCAGT-1", "d15.data_CGTTCTGAGAAGCGAA-1", "d15.data_TGGTACACAATGTCAC-1", "d15.data_TGCTTGCCAAATGGAT-1", "d15.data_GTGGAAGTCGACGAGA-1", "d15.data_ACGTAACCAGCTCTGG-1", "d15.data_GATGGAGCATGCCGAC-1", "d15.data_TGGGCTGTCATGCCAA-1", "d15.data_TAACACGTCTTAGCAG-1", "d15.data_AGCTACACATAGTCAC-1", "d15.data_CCTTCAGTCTCGTTTA-1", "d15.data_TAGGAGGGTTCGGACC-1", "d15.data_TTTGTTGGTGACTCGC-1", "d15.data_ATGATCGGTAGCTGAG-1", "d15.data_ACTACGAGTCCGTACG-1", "d15.data_GGTGAAGAGGCACCAA-1", "d15.data_TGTTCCGCAGAGTCAG-1", "d15.data_ACCAAACAGTGTACCT-1", "d15.data_GTGCGTGCAGCGAACA-1", "d15.data_CCTGTTGTCTGCTTAT-1", "d15.data_CGGAACCCACAGCTTA-1", "d15.data_GCCCGAACACATTACG-1", "d15.data_TGCGATAAGCTGAGTG-1", "d15.data_CTTAGGACAGCGTGAA-1", "d15.data_CAATCGAAGCGACCCT-1", "d15.data_ATGTCCCGTCGAACGA-1", "d15.data_GTGCGTGGTTACAGCT-1", "d15.data_AGGAGGTCAGGCTACC-1", "d15.data_GAATCGTGTGGACAGT-1", "d15.data_ACGTACATCGTGGCTG-1", "d15.data_GAGACTTCACGGTAGA-1", "d15.data_TATTGGGCAAGCTGTT-1", "d15.data_TCAAGCACAGGAGGTT-1", "d15.data_ATAGGCTCAAATTGGA-1", "d15.data_CTTGATTTCATCGTAG-1", "d15.data_GCCGTGAGTAATGCTC-1", "d15.data_TCGCTTGAGATGATTG-1", "d15.data_CCTCATGTCCGTCCTA-1", "d15.data_AGGACTTTCTCCGTGT-1", "d15.data_GTTGTCCGTTAAGAAC-1", "d15.data_TTCCGGTTCGACTCCT-1", "d15.data_CATCCCAAGTGGAAGA-1", "d15.data_CAGATACGTGAGGAAA-1", "d15.data_CATCCGTGTGTCCGGT-1", "d15.data_GACGCTGGTCTGATCA-1", "d15.data_AGGGTGACATTACGGT-1", "d15.data_AGCATCAGTTAGGCTT-1", "d15.data_TTTCCTCCAAGAGTAT-1", "d15.data_CAGGTATGTCTTTCTA-1", "d15.data_TCAGGTATCAACACCA-1", "d15.data_TCGCACTCAGAACTCT-1", "d15.data_CTAACTTAGCTTGTGT-1", "d15.data_ATTTCTGCACTCATAG-1", "d15.data_ACACTGATCGTTGTAG-1", "d15.data_GGGATCCTCTAGAACC-1", "d15.data_TTGCCTGGTTAAAGTG-1", "d15.data_TGGCGTGGTGGTACAG-1", "d15.data_ACCTGAACAGTAGAGC-1", "d15.data_TCTCAGCCAATGCAGG-1", "d15.data_GGCTGTGAGCCTGTGC-1", "d15.data_GCTTTCGAGGAAAGGT-1", "d15.data_GGGACCTCAGCCGGTT-1", "d15.data_CTACATTCAAGTCGTT-1", "d15.data_GTAAGTCCAGGTCAGA-1", "d15.data_GAAGTAACACTGTGTA-1", "d15.data_CCCGGAAAGACCATTC-1", "d15.data_TGGGAAGAGACTTAAG-1", "d15.data_GTGTCCTGTCACGACC-1", "d15.data_CTAACTTAGTACCCTA-1", "d15.data_GAGGGATTCCAAGAGG-1", "d15.data_AGTTCCCGTAGTACGG-1", "d15.data_ACGATGTGTAAGGTCG-1", "d15.data_TGGGATTGTAGAGTTA-1", "d15.data_AATTTCCAGTCTTGGT-1", "d15.data_CACGGGTCAGTCAGCC-1", "d15.data_ACGGAAGAGATGCTGG-1", "d15.data_ACTGATGAGTCAACAA-1", "d15.data_TCTAACTTCCCATGGG-1", "d15.data_TTCAATCTCTGTAAGC-1", "d15.data_GACCGTGCAAGAAACT-1", "d15.data_TTTACTGTCTCGAACA-1", "d15.data_TCAGTCCAGATCGCCC-1", "d15.data_GGTAATCCATGATGCT-1", "d15.data_CTTACCGCATGTGACT-1", "d15.data_TCGCACTTCCTGGGAC-1", "d15.data_ATTCCCGGTGCAGTGA-1", "d15.data_GAGGGTACATACACCA-1", "d15.data_GCCAACGGTTGCAAGG-1", "d15.data_TCGTCCAAGGGCAGTT-1", "d15.data_TAGGTACAGCGTGTCC-1", "d15.data_TGTTCCGAGCCTGAAG-1", "d15.data_TCGAACAGTTGCAAGG-1", "d15.data_CCACTTGAGGAAAGAC-1", "d15.data_GTCCCATTCTATTGTC-1", "d15.data_TGAGCATGTTAGAGAT-1", "d15.data_GCTCAAAAGAGCAAGA-1", "d15.data_GTGGTTAGTGTAACGG-1", "d15.data_AGGGTTTCACACACTA-1", "d15.data_GCGTTTCGTGACGTCC-1", "d15.data_TGTCCACTCCAGCAAT-1", "d15.data_ATGAGTCCAGACAAAT-1", "d15.data_ATGCCTCCACGCAAAG-1", "d15.data_CAGCAATGTGACAGGT-1", "d15.data_GTTCTATCAGAGCCCT-1", "d15.data_TCTAACTAGATGAAGG-1", "d15.data_AACAAGACATCCGGCA-1", "d15.data_CCGAACGCAGTACTAC-1", "d15.data_TAATTCCGTATCGTTG-1", "d15.data_TGCTGAACAAGTCGTT-1", "d15.data_GTCTGTCTCAGTGTGT-1", "d15.data_GGGACAAGTTTCGTAG-1", "d15.data_CTCAGGGAGCCATTTG-1", "d15.data_GATTGGTTCGTCACCT-1", "d15.data_CTCATGCTCAATCCAG-1", "d15.data_GTTGTAGAGATCGCCC-1", "d15.data_CGCAGGTGTGCTAGCC-1", "d15.data_TCATGAGGTCATATGC-1", "d15.data_GTAATCGCAGGTCCGT-1", "d15.data_AATGAAGGTTGGGACA-1", "d15.data_AGGATCTCAATACGAA-1", "d15.data_GGGTCTGTCCGTTGAA-1", "d15.data_GTAGGAGGTGATTCAC-1", "d15.data_GTGGAGAGTCAACACT-1", "d15.data_TACTTCAGTACAACGG-1", "d15.data_ATCGTGAAGTCCCGGT-1", "d15.data_GTGGCGTAGTCGAAAT-1", "d15.data_ACGATGTGTGCGCTCA-1", "d15.data_TCCTCCCTCTAAGAAG-1", "d15.data_CGTAAGTCACGGGTAA-1", "d15.data_CGCAGGTCAGGTGAGT-1", "d15.data_GCAGTTAAGGTCACAG-1", "d15.data_AGGGAGTTCAGTGCGC-1", "d15.data_CATGAGTCATTGCCTC-1", "d15.data_GTGAGGATCTGAGGTT-1", "d15.data_ATACCTTTCGTAGCCG-1", "d15.data_GGAATGGGTATCAGCT-1", "d15.data_TGAGGAGCAAGAAACT-1", "d15.data_ACGTAGTAGAGTGACC-1", "d15.data_TTTGTTGAGGAGGGTG-1", "d15.data_TAGTGCAAGCCACCGT-1", "d15.data_CACACAAGTGTACAGG-1", "d15.data_GCCTGTTCAGCGTATT-1", "d15.data_GGAAGTGTCATTTGGG-1", "d15.data_TGGAGGAGTCCACTTC-1", "d15.data_AGGGCCTTCTGGGCGT-1", "d15.data_GGTGTTATCATTTGGG-1", "d15.data_GCCAGTGGTGTACGCC-1", "d15.data_GTTCGCTCAGAAATTG-1", "d15.data_ATCGCCTGTGTGCCTG-1", "d15.data_TTTGGAGAGCGACTAG-1", "d15.data_TCGCAGGTCCTCTAGC-1", "d15.data_TTAGGGTCACCTGAAT-1", "d15.data_CTCTCAGCAGTATTCG-1", "d15.data_TCTCCGAAGCTCGGCT-1", "d15.data_CATGAGTCAGAAGTTA-1", "d15.data_AGGAAATTCGTCGATA-1", "d15.data_TTAATCCCATAATCGC-1", "d15.data_TAAGCGTAGTATCTGC-1", "d15.data_CGTCAAACATTCAGGT-1", "d15.data_AACCACAGTAGTTAGA-1", "d15.data_CGAGGCTAGGTTGAGC-1", "d15.data_TACGTCCGTAGCACAG-1", "d15.data_AGACAGGGTGTAAATG-1", "d15.data_CGGGCATCAGAGTGTG-1", "d15.data_GCGGAAAGTCGGATTT-1", "d15.data_AACAAAGAGATAGCTA-1", "d15.data_TTAGTCTAGAGGTGCT-1", "d15.data_GTCTTTAGTGGTACAG-1", "d15.data_AATGGAAAGGGTCTTT-1", "d15.data_GAGGCAATCGTGCGAC-1", "d15.data_ATGGATCGTGCATGAG-1", "d15.data_TGTTGGAAGTGGAAGA-1", "d15.data_GCAACCGCAGTGTACT-1", "d15.data_TCCGGGAGTAAGGTCG-1", "d15.data_TCAGCAAAGATCGCTT-1", "d15.data_GTGCTTCCACGGTAGA-1", "d15.data_CGAGTTACAGAGAAAG-1", "d15.data_ATTCATCGTTAAAGTG-1", "d15.data_ACCCTTGTCTACGGTA-1", "d15.data_ACTTTGTAGCGTGTCC-1", "d15.data_GAAACCTGTCCCTGAG-1", "d15.data_TGCTCCAGTTCAGCGC-1", "d15.data_CTGGACGAGAAGCGCT-1", "d15.data_CACGAATCACAGTGAG-1", "d15.data_CGAGGAAAGATAGTCA-1", "d15.data_GTGTTCCCATTGTCGA-1", "d15.data_GCGGAAAAGTATCTGC-1", "d15.data_CTGTAGAAGTGACACG-1", "d15.data_AGTCACAAGTGGAATT-1", "d15.data_GGAGAACTCCAGCCTT-1", "d15.data_CGTTGGGTCCTAACAG-1", "d15.data_AGAAGCGGTGACACGA-1", "d15.data_AGCTTCCAGTCTGGAG-1", "d15.data_GGAGGTACATAGCACT-1", "d15.data_GGCTTGGTCCACTTTA-1", "d15.data_TTCCTTCTCTTGGCTC-1", "d15.data_TGCGGCATCAGGACGA-1", "d15.data_CATAGACCAAATACAG-1", "d15.data_AGAGAGCAGACCATGG-1", "d15.data_CTATAGGAGCTACTGT-1", "d15.data_CCTGTTGGTAGATTGA-1", "d15.data_CGTTGGGGTTTGAAAG-1", "d15.data_ACATCGAAGGAACTAT-1", "d15.data_TCGGATATCGGCCCAA-1", "d15.data_GAATAGAGTTGTGGAG-1", "d15.data_TGTAGACAGGGAGTTC-1", "d15.data_AGAAGTAGTCGCACAC-1", "d15.data_CACAACATCTAACGGT-1", "d15.data_ACGATCAAGTGGATTA-1", "d15.data_TCGTGCTCACAACGAG-1", "d15.data_CAGTTCCGTAGGCAGT-1", "d15.data_TAATCTCAGACTGTTC-1", "d15.data_AGCTCAATCAACTGAC-1", "d15.data_GCATGATAGGCCACTC-1", "d15.data_CATGCGGAGCAGTACG-1", "d15.data_TGTTCTAGTGACCTGC-1", "d15.data_TGGTAGTTCAGACATC-1", "d15.data_TCAAGTGAGGGCGAAG-1", "d15.data_CGAGGAATCACTTGGA-1", "d15.data_TTCCTTCGTTGCTAGT-1", "d15.data_GAAACCTAGGGCGAAG-1", "d15.data_AACAGGGAGATGCAGC-1", "d15.data_GTTTACTAGGTCCCGT-1", "d15.data_TGTTTGTGTAGCCCTG-1", "d15.data_ATTACTCGTATGACAA-1", "d15.data_AGCGATTAGCATCAGG-1", "d15.data_TGAGTCATCAATCGGT-1", "d15.data_AATAGAGTCGCATTAG-1", "d15.data_TAGACTGGTTGACGGA-1", "d15.data_TCCACGTTCAACCGAT-1", "d15.data_GATGAGGGTTGTAGCT-1", "d15.data_CGACAGCGTCTCAGAT-1", "d15.data_CATCGTCTCGAGAATA-1", "d15.data_ATTCACTCAGTCGGAA-1", "d15.data_TTGATGGCAGAACGCA-1", "d15.data_AGGATAAAGCATCCTA-1", "d15.data_CTCAGTCTCGGTTAGT-1", "d15.data_TTCAATCTCAAATGCC-1", "d15.data_TTTACCAAGCCTGAGA-1", "d15.data_TTCCTAAGTCTGTAGT-1", "d15.data_CATCGTCGTTGCTAGT-1", "d15.data_TGGAGAGTCAGGGATG-1", "d15.data_AGGAGGTTCTCTCAAT-1", "d15.data_ATGAAAGAGGACGCAT-1", "d15.data_AAGGAATAGGATACCG-1", "d15.data_GAGGCAAAGTACAGAT-1", "d15.data_GTCATTTGTAGTTCCA-1", "d15.data_GGGTCACAGATTGATG-1", "d15.data_CCGATCTGTATCAAGA-1", "d15.data_TTTACGTCAACGGCTC-1", "d15.data_TCCTGCAGTGGGCTTC-1", "d15.data_GTCGTAACACCTGCAG-1", "d15.data_TAGCACAGTTGGGCCT-1", "d15.data_GCACGTGCACTGAGTT-1", "d15.data_TAAGTCGCACTCCACT-1", "d15.data_CAGATACAGCAGCAGT-1", "d15.data_GGCACGTTCGGACTGC-1", "d15.data_GTGCAGCCAGACACAG-1", "d15.data_GTTGAACCATGGCCCA-1", "d15.data_TTGAGTGTCGCATGAT-1", "d15.data_CGGGACTCACGCTTAA-1", "d15.data_GTCAAGTAGGCATCGA-1", "d15.data_AAGCCATGTACAGTTC-1", "d15.data_TTGGTTTAGCAAACAT-1", "d15.data_TACCGAACAAGCAATA-1", "d15.data_TCCGAAATCTCGCTTG-1", "d15.data_TTCGGTCAGGTATAGT-1", "d15.data_GTGAGCCGTTATAGAG-1", "d15.data_CAGTTAGAGAACAGGA-1", "d15.data_AACCTTTTCACACCGG-1", "d15.data_ATCGGCGGTGTTGATC-1", "d15.data_ACCAAACTCATTTGCT-1", "d15.data_CTTTCGGAGGCCCACT-1", "d15.data_TCATTTGGTGGTAACG-1", "d15.data_TAGCACAGTTAGCGGA-1", "d15.data_TGCGGCACACGGATCC-1", "d15.data_ACAACCAAGTGGCAGT-1", "d15.data_TTTCAGTTCTCGTGAA-1", "d15.data_GCTCAAATCGTGCAGC-1", "d15.data_AGGCATTCAATGAACA-1", "d15.data_CATCCGTCAGATCCTA-1", "d15.data_CATCGTCGTTCCTAAG-1", "d15.data_CGTGTCTGTTACACTG-1", "d15.data_TGCGGGTGTCCTACGG-1", "d15.data_AAATGGAGTTTCGGCG-1", "d15.data_TACGGGCTCACCATGA-1", "d15.data_GATCGTATCAAATGCC-1", "d15.data_TCAATTCAGAACTCCT-1", "d15.data_ACGATGTGTTAACAGA-1", "d15.data_CGAGTGCGTTGTGGAG-1", "d15.data_GTGCACGCACTGTGTA-1", "d15.data_GTCTACCGTCGAGCTC-1", "d15.data_TCAGTGAGTGTTCCTC-1", "d15.data_GCAACATTCCAACTAG-1", "d15.data_CCTGCATCACAGCTTA-1", "d15.data_TGAGGTTGTTCTCACC-1", "d15.data_GTTACCCTCCTCAGAA-1", "d15.data_AGTCAACGTGCAATAA-1", "d15.data_CGGAACCGTTACGGAG-1", "d15.data_AGCGCTGAGGTTTGAA-1", "d15.data_GAAGGGTTCGATACAC-1", "d15.data_CTTCTCTTCAACTACG-1", "d15.data_GAGTGTTAGGATTACA-1", "d15.data_CGCATGGAGCAGGCTA-1", "d15.data_AGTGACTAGCATCAAA-1", "d15.data_TCAGCAAGTTGATCGT-1", "d15.data_AGTAACCGTGATTCAC-1", "d15.data_CATTCTAGTCAGACGA-1", "d15.data_CGATGGCGTAGGCAAC-1", "d15.data_GGGTTATAGTTACGGG-1", "d15.data_AGCTACAGTTGCATGT-1", "d15.data_TCATTTGGTCTTAGTG-1", "d15.data_CTTCTAAAGAAGTATC-1", "d15.data_CTATCTACAAGTGCAG-1", "d15.data_TCATGGAGTCTGTGTA-1", "d15.data_TAACCAGGTGACCGTC-1", "d15.data_AGAGAGCAGCAACCAG-1", "d15.data_CATCCACTCAGAGCAG-1", "d15.data_TCTGGCTCAACGATCT-1", "d15.data_TCAGGGCCACGGGCTT-1", "d15.data_CGAAGGACATACCAGT-1", "d15.data_GCCGATGCAAGTGGCA-1", "d15.data_CACTGGGGTGTTGAGG-1", "d15.data_GCCCGAAGTATTTCCT-1", "d15.data_CGTTGGGTCCATACAG-1", "d15.data_ACTCCCACAGGAGACT-1", "d15.data_TATCAGGCAACGAGGT-1", "d15.data_GACCGTGAGACAACAT-1", "d15.data_TTTCAGTGTCTTCAAG-1", "d15.data_GGCTTGGGTGCATGAG-1", "d15.data_AACTTCTTCCACGTCT-1", "d15.data_ACACGCGTCTCATGCC-1", "d15.data_AAGACAACAGAGTTCT-1", "d15.data_TTTACCAGTCGCATCG-1", "d15.data_TTCCTAAAGCGTCAGA-1", "d15.data_CTGCCATAGCCACCGT-1", "d15.data_TACTTGTCAGGTTCGC-1", "d15.data_GTAATCGGTAGAGACC-1", "d15.data_ACGGTCGGTCAAAGTA-1", "d15.data_GACCCAGAGGGCTAAC-1", "d15.data_CCGGTAGAGGTGATAT-1", "d15.data_CCTCAACCAGTAGTTC-1", "d15.data_TCATGTTTCCGTGGGT-1", "d15.data_TTGTTCAGTGCCTATA-1", "d15.data_AGAAATGCAGGCTACC-1", "d15.data_TCCTTTCGTAGTCCTA-1", "d15.data_GAGTTGTAGATGGCAC-1", "d15.data_ACTTCCGAGAGGACTC-1", "d15.data_GTGGAAGGTTGACTGT-1", "d15.data_GAGTTGTCAGGACGAT-1", "d15.data_GCCCAGACACTGTCGG-1", "d15.data_TTACAGGGTTGATGTC-1", "d15.data_TGTGAGTGTCATCGCG-1", "d15.data_TGGATCAAGACTAAGT-1", "d15.data_CGAGAAGCATGCGTGC-1", "d15.data_TGTGATGCAGCTAACT-1", "d15.data_ACACAGTGTGACCGAA-1", "d15.data_TCACTATCAAAGCGTG-1", "d15.data_ATGACCACATCAACCA-1", "d15.data_TGAGACTTCATCACAG-1", "d15.data_ATTGGGTGTCCAGGTC-1", "d15.data_TACGCTCGTGCCCAGT-1", "d15.data_ACGATGTAGGGCAATC-1", "d15.data_TTGCATTAGACATAAC-1", "d15.data_TTTCAGTGTCTGCGCA-1", "d15.data_TCTCCGAAGGATTACA-1", "d15.data_GGGACCTAGTGGAAGA-1", "d15.data_GTGTTCCCAACTGATC-1", "d15.data_TTCGATTCATCAGCAT-1", "d15.data_CAGATCACAGAGATTA-1", "d15.data_TACGGGCTCTGTCCCA-1", "d15.data_TAACACGAGCTAAACA-1", "d15.data_AATGAAGTCGCTTAAG-1", "d15.data_TCCCATGAGAAGAACG-1", "d15.data_AGACACTTCGTTGTAG-1", "d15.data_CATCGTCTCACTGTCC-1", "d15.data_GTAGAGGGTCGCATGC-1", "d15.data_ACCATTTTCGTAGAGG-1", "d15.data_CCTCTCCTCTGAGGCC-1", "d15.data_TTGCGTCCAGCTGAGA-1", "d15.data_TCCTGCATCGCTGATA-1", "d15.data_AGCGATTGTTAGCGGA-1", "d15.data_TCATATCCAAATCAAG-1", "d15.data_TCATTCATCACCATCC-1", "d15.data_CGAAGGATCTCTGCTG-1", "d15.data_ATAGAGAGTGTCCTAA-1", "d15.data_TCGAAGTGTAGCTGTT-1", "d15.data_CCGATCTAGATGTTAG-1", "d15.data_CGGACACTCCCAGCGA-1", "d15.data_AATCGTGGTTTCCATT-1", "d15.data_CAATCGATCGCTCTAC-1", "d15.data_GGGAGTACACGTCGTG-1", "d15.data_GTTACCCAGTTCATGC-1", "d15.data_TTTCGATAGTTAACAG-1", "d15.data_CTGGTCTTCATCGACA-1", "d15.data_GTAAGTCTCCGATCGG-1", "d15.data_CTCAGAAGTGCAACAG-1", "d15.data_TCACTCGTCCTACCGT-1", "d15.data_TTGTTGTGTTTCCCAC-1", "d15.data_GGGTGTCCAGCGTACC-1", "d15.data_CTTCTAAGTTATGACC-1", "d15.data_AAGCATCCACTACGGC-1", "d15.data_CAATTTCGTATGTCAC-1", "d15.data_GATAGCTGTCACTTAG-1", "d15.data_CTACCCAGTAACACGG-1", "d15.data_CTGGCAGTCTTCGTAT-1", "d15.data_TTTACCAAGTGATGGC-1", "d15.data_TATCTTGGTAACACCT-1", "d15.data_AGGCATTAGTTTCGGT-1", "d15.data_AGGGTGACAGGGACTA-1", "d15.data_AGCCAGCGTTGCGGCT-1", "d15.data_GACAGCCTCGTTCTCG-1", "d15.data_AGGTGTTCAGCTAACT-1", "d15.data_GGCAGTCGTGCGAACA-1", "d15.data_ACGGAAGTCTGACGCG-1", "d15.data_TCATGTTGTTGCTAGT-1", "d15.data_CTACAGATCCGCAAAT-1", "d15.data_GTATTGGAGGTAGTCG-1", "d15.data_AATCACGGTCACCGCA-1", "d15.data_GTTAGACAGGTTCCAT-1", "d15.data_GCCAGCACAGTGGTGA-1", "d15.data_AACCACAAGGGCCCTT-1", "d15.data_AGACTCAGTGCCTTCT-1", "d15.data_ACGGGTCTCCTACAAG-1", "d15.data_GACGTTAGTTCCGCGA-1", "d15.data_TCATACTAGCTCAGAG-1", "d15.data_ATTACCTGTTAGGCTT-1", "d15.data_AGAGCAGCAATGTCTG-1", "d15.data_AAGATAGCACGACCTG-1", "d15.data_AGGCCACTCAGTGTCA-1", "d15.data_CCCGAAGAGACCAGAC-1", "d15.data_GAGTTACCAGGTCAAG-1", "d15.data_AGTCATGTCTTCTCAA-1", "d15.data_GGGTTATCACACGCCA-1", "d15.data_TCGTAGAGTCATGGCC-1", "d15.data_GTTACGAAGTCTGCAT-1", "d15.data_ATTCAGGTCTTTCTAG-1", "d15.data_TCGTCCAGTGTACGCC-1", "d15.data_GGCAGTCTCCCAGCGA-1", "d15.data_ATCGATGCAGAGTTGG-1", "d15.data_TCCTAATCACTAAACC-1", "d15.data_ATTCATCAGGACTAAT-1", "d15.data_TTCCGGTTCGCGTAGC-1", "d15.data_CACGAATCAAGCCTGC-1", "d15.data_TTACAGGTCAGTGCGC-1", "d15.data_GGCAGTCTCCAGCCTT-1", "d15.data_TCTCCGATCATTACGG-1", "d15.data_ATTGGGTTCTGGACCG-1", "d15.data_CAGAGCCCAAGTGGAC-1", "d15.data_TGGCGTGCACAATGAA-1", "d15.data_AGACAAAAGAAGCGCT-1", "d15.data_ATTCCATCACAGGATG-1", "d15.data_ATCGTAGGTGTAGGAC-1", "d15.data_GGTGTCGGTGTTCATG-1", "d15.data_CTGCCATCAATTTCTC-1", "d15.data_CAGGGCTTCACGATCA-1", "d15.data_AGATAGAAGGGAGGCA-1", "d15.data_CTGCGAGCAATTCGTG-1", "d15.data_TGCATCCAGACCAAGC-1", "d15.data_TCGGTCTTCCGATTAG-1", "d15.data_TGATGGTGTAAGACCG-1", "d15.data_TTTGATCAGTGGAAGA-1", "d15.data_CTGGACGAGGTTGCCC-1", "d15.data_TCGCTCAGTGGTATGG-1", "d15.data_AGTTCGATCCACCCTA-1", "d15.data_AAAGAACTCTTCGTGC-1", "d15.data_AGAGCAGTCTAGACCA-1", "d15.data_ATGCGATTCAGAGTGG-1", "d15.data_GAGGGATAGTTGCCCG-1", "d15.data_GGATCTAGTCATACCA-1", "d15.data_GGAATGGAGGTTATAG-1", "d15.data_TCTCTGGAGATGTTCC-1", "d15.data_GCATCTCCAAGCCCAC-1", "d15.data_GTTGTAGAGTTGAAGT-1", "d15.data_ACACAGTCAGAGGCAT-1", "d15.data_CCGTTCACAGCTGTCG-1", "d15.data_GGCAGTCTCGTGGGAA-1", "d15.data_AATGCCAGTTCTCCTG-1", "d15.data_TGCGGCAGTGGTCTCG-1", "d15.data_TTGTTTGAGAGTCGAC-1", "d15.data_CTAGGTAAGCTGTGCC-1", "d15.data_ACGCACGAGTCGAGGT-1", "d15.data_CGGTCAGGTGCAACGA-1", "d15.data_GAGTTGTCATAGAAAC-1", "d15.data_TGGGAAGTCTTACGTT-1", "d15.data_TATTTCGGTAAGCGGT-1", "d15.data_TCGGGTGTCGATCCAA-1", "d15.data_TGTGCGGCATGTCTAG-1", "d15.data_AGACTCATCAGCTAGT-1", "d15.data_CTACCTGAGTAAACTG-1", "d15.data_CATCAAGAGCGTTCCG-1", "d15.data_CACGAATGTGCCGTTG-1", "d15.data_GAAATGACACCATTCC-1", "d15.data_CATTCTACAGATCCTA-1", "d15.data_TTGCGTCTCACGAGGA-1", "d15.data_CTACCTGGTTGCATGT-1", "d15.data_GAAGCCCGTTTGGGAG-1", "d15.data_TGACAGTAGACGACTG-1", "d15.data_CATTCTATCCACTGGG-1", "d15.data_TTGTTTGGTGAACCGA-1", "d15.data_TCACTATAGAGGCGTT-1", "d15.data_TTAGGCAGTATAGCTC-1", "d15.data_GCATTAGAGGACCCAA-1", "d15.data_TGTACAGTCTCCAAGA-1", "d15.data_ACCATTTCAACTGGTT-1", "d15.data_CACAGATTCGATACGT-1", "d15.data_GGACGTCAGGGAGGTG-1", "d15.data_GGAACCCTCGGTGTAT-1", "d15.data_GTGAGTTTCGGTCATA-1", "d15.data_TAGTGCAGTACGACAG-1", "d15.data_GAATCGTCAGTAGGAC-1", "d15.data_TGTCCCAGTAGTCACT-1", "d15.data_CCGGGTAAGCTACTAC-1", "d15.data_TGAGGAGAGCTGTCCG-1", "d15.data_TACCTGCAGGTCCCTG-1", "d15.data_TCCGGGAAGTTACGTC-1", "d15.data_GGGATGACATCAGCTA-1", "d15.data_AGTTAGCGTGTGTTTG-1", "d15.data_TCATACTTCAAGGCTT-1", "d15.data_GTACAGTGTTATCCAG-1", "d15.data_AGAACAAGTAGAATGT-1", "d15.data_TCTGGCTGTAGCGTCC-1", "d15.data_GGCTTTCTCGACGATT-1", "d15.data_AAGCCATGTGGAGAAA-1", "d15.data_TTTACCAAGTTGCTCA-1", "d15.data_CATCGTCAGCAATTAG-1", "d15.data_CAGGTATCACGCGTGT-1", "d15.data_ATTCTACTCTTTACAC-1", "d15.data_GAGTTACTCTTCGCTG-1", "d15.data_GTGATGTTCGGTAAGG-1", "d15.data_TTGAACGTCGGAGTGA-1", "d15.data_GTCTTTAAGTATGCAA-1", "d15.data_CTGAGGCAGCTCCACG-1", "d15.data_CGCGTGATCTGAGGCC-1", "d15.data_TCGTCCAGTCAGTCCG-1", "d15.data_GACAGCCGTTGCACGC-1", "d15.data_ACAGAAAAGTGATTCC-1", "d15.data_TGTTACTGTGGAGGTT-1", "d15.data_TGGAGGATCGTTATCT-1", "d15.data_CTACATTGTTAGGAGC-1", "d15.data_AGGACTTAGACCATAA-1", "d15.data_ACTTATCGTCCTACAA-1", "d15.data_GTGATGTAGCCTCTGG-1", "d15.data_TTTACCATCGGTGTAT-1", "d15.data_CACCGTTTCCTTGAAG-1", "d15.data_CATGAGTAGCATTGAA-1", "d15.data_ATCGATGCATCCCGTT-1", "d15.data_GGTTCTCCAAATGGCG-1", "d15.data_ATCGGATAGTTCTCTT-1", "d15.data_CAGATCACAGTCAGTT-1", "d15.data_GACTGATGTAGGGAGG-1", "d15.data_GGGTCACTCTTTCAGT-1", "d15.data_CATAAGCTCGGTCGGT-1", "d15.data_TGTAACGAGTCCCAAT-1", "d15.data_CATCGTCCACGTGTGC-1", "d15.data_AGTTAGCGTGGACAGT-1", "d15.data_TTGGTTTCAACGACTT-1", "d15.data_ATCTTCATCGTGTGGC-1", "d15.data_CCGTGAGTCGGCCAAC-1", "d15.data_CAATACGAGAACCCGA-1", "d15.data_ATAGACCTCTACTATC-1", "d15.data_GAAGGACTCCGTGTCT-1", "d15.data_GAAGGGTTCTTGATTC-1", "d15.data_ACTTTCACATTAAAGG-1", "d15.data_TCACACCAGAGCTGAC-1", "d15.data_CTCAGTCAGGAACGCT-1", "d15.data_GAATCGTAGCATGCAG-1", "d15.data_TGATGCAAGATTGCGG-1", "d15.data_TGGATGTGTTTCTATC-1", "d15.data_GCACGGTAGCTTCGTA-1", "d15.data_GGCAGTCGTCTTTATC-1", "d15.data_CCACGAGCACCAGCTG-1", "d15.data_TACCTCGTCGGAAACG-1", "d15.data_CGAGGAAAGATGAATC-1", "d15.data_TACGCTCCATCGCCTT-1", "d15.data_GATGATCAGCCAACCC-1", "d15.data_CTCATGCTCGTAGTGT-1", "d15.data_TGTTTGTAGGCCATAG-1", "d15.data_CATCCACTCTGTAAGC-1", "d15.data_ATGAGGGGTTGGGTTT-1", "d15.data_CACTGTCCAGGTGACA-1", "d15.data_CCGGACAGTCTGCGCA-1", "d15.data_GTTACAGTCTGATTCT-1", "d15.data_CTTAGGATCAAGTGGG-1", "d15.data_GGAGATGGTCAACATC-1", "d15.data_ATGGATCAGGATTACA-1", "d15.data_AGAAGCGGTCCGAAAG-1", "d15.data_GAGCCTGAGCAGATAT-1", "d15.data_ACTGTCCGTTAGTTCG-1", "d15.data_AGGTTACTCATCTGTT-1", "d15.data_ACCGTTCTCCACCTGT-1", "d15.data_TTCTTGAAGGGATCTG-1", "d15.data_TTTACGTGTACGGGAT-1", "d15.data_GCAGTTATCGTAATGC-1", "d15.data_ACAAGCTTCATTACCT-1", "d15.data_TCGGGTGCACTCTCGT-1", "d15.data_AAAGAACAGATGGGCT-1", "d15.data_CAGAGCCGTTGTCTAG-1", "d15.data_ACTTCGCTCCCTCATG-1", "d15.data_CTCATCGCAGAGGCTA-1", "d15.data_GTCTTTACATTACGGT-1", "d15.data_GTTGTAGGTTAGGACG-1", "d15.data_TTTATGCCACTTCATT-1", "d15.data_TCATTCATCTTTGATC-1", "d15.data_CTACTATGTAAGCGGT-1", "d15.data_TCAGGTAAGCCACAAG-1", "d15.data_GGGTGAACACAGCCAC-1", "d15.data_ATCAGGTTCCGCGATG-1", "d15.data_GAAGAATAGAATCGAT-1", "d15.data_TATCTGTTCATTGTTC-1", "d15.data_TTTGGAGAGGTGCATG-1", "d15.data_AGGACGATCCAGGACC-1", "d15.data_TTGGGTAGTTGCGGCT-1", "d15.data_GTACAGTCATAGGTAA-1", "d15.data_TACGGTAGTAGGTCAG-1", "d15.data_GATCACATCTGTGCAA-1", "d15.data_TCTGCCATCCTTGGAA-1", "d15.data_AGGGTCCGTTACGTAC-1", "d15.data_ACTTAGGTCTCTTGCG-1", "d15.data_TGCCGAGTCCATTCGC-1", "d15.data_GGAATGGAGACTCTTG-1", "d15.data_AAAGTCCGTGGGTCAA-1", "d15.data_CGTTCTGGTGCCAAGA-1", "d15.data_CACGAATTCTCGTGGG-1", "d15.data_GTGCGTGGTTGTATGC-1", "d15.data_CAAGGGATCAGGTAAA-1", "d15.data_TATCCTAAGAGTGTGC-1", "d15.data_TGATTTCCAACACGTT-1", "d15.data_GATGACTGTAGGTTTC-1", "d15.data_TATCCTATCTCGCAGG-1", "d15.data_ACACCAAGTCGTATGT-1", "d15.data_AGTAGCTAGATGCTTC-1", "d15.data_CCGTGAGCAAATACAG-1", "d15.data_GCGTGCAGTCCCGTGA-1", "d15.data_TAGCACAGTATGAGGC-1", "d15.data_ACGGTCGGTAATGCTC-1", "d15.data_TGATGCACATGAAGGC-1", "d15.data_TTGCATTGTTCGTACA-1", "d15.data_TCCATGCGTTGGCTAT-1", "d15.data_TTCCAATCATACCGTA-1", "d15.data_AGTGATCTCGCGTGAC-1", "d15.data_CCGATCTGTTCTTAGG-1", "d15.data_ATCCACCGTGACCGAA-1", "d15.data_GTGGGAAAGCGCTGAA-1", "d15.data_GGGCTCAGTGACATCT-1", "d15.data_TTCATTGAGTCGCCCA-1", "d15.data_CGTTGGGGTGAGTAAT-1", "d15.data_CTGTATTTCCACAGCG-1", "d15.data_GGTTCTCAGCATGAAT-1", "d15.data_ACCGTTCTCTTCGTAT-1", "d15.data_GCACTAAGTCGCACAC-1", "d15.data_TTTACCAGTACCCGAC-1", "d15.data_ACTCCCAAGTCTGGTT-1", "d15.data_TTCGGTCCACCCATAA-1", "d15.data_GAGTGAGCAAACAGGC-1", "d15.data_ATGGAGGAGGTTTGAA-1", "d15.data_CACTGAATCGAGATGG-1", "d15.data_CGCATAACAACAAGTA-1", "d15.data_GTGCGTGAGAAAGCGA-1", "d15.data_TTGGGTAAGCCATATC-1", "d15.data_GGAGGATCATAGACTC-1", "d15.data_TGCGGCAGTCCAGCCA-1", "d15.data_TGTCCTGAGTCAGAGC-1", "d15.data_TCTTTGATCCGCTGTT-1", "d15.data_TGATGCATCCCGAATA-1", "d15.data_ATCGTGAGTGCTGCAC-1", "d15.data_GACATCACAACGGTAG-1", "d15.data_AGATGCTGTGTCCGTG-1", "d15.data_AGTTCGAAGTTAACAG-1", "d15.data_GGTCACGGTGAATGAT-1", "d15.data_TGAGGTTAGCTGAAGC-1", "d15.data_TCAATTCTCCAAGCTA-1", "d15.data_GGGTCACTCTAAGCGT-1", "d15.data_CAGATTGGTATGGAGC-1", "d15.data_TGACGCGGTGTCTTCC-1", "d15.data_AGTCATGGTCATGGCC-1", "d15.data_AGCGATTAGCCATTTG-1", "d15.data_ATTCACTCAACAGATA-1", "d15.data_TGGAGGACAAGTCCCG-1", "d15.data_GTATTGGTCTGGAAGG-1", "d15.data_ATCACGAAGACAGCTG-1", "d15.data_AAGTGAACAACTGCTA-1", "d15.data_CTGTCGTCAGATTCGT-1", "d15.data_ACGTTCCCAACTTGCA-1", "d15.data_ATCCACCGTGCAGTGA-1", "d15.data_GAGGGTACATTCACCC-1", "d15.data_GCGAGAAAGTCGAGGT-1", "d15.data_AACACACCATCGATAC-1", "d15.data_TCGGGCATCTTTCCGG-1", "d15.data_AGTCACATCTTTCTAG-1", "d15.data_CCGCAAGTCGGCTGAC-1", "d15.data_TCGTCCATCTGGCTGG-1", "d15.data_CGAATTGAGCGTGTTT-1", "d15.data_CTAGGTAAGCCTATTG-1", "d15.data_AAGGAATCAGGGTCTC-1", "d15.data_TGACTCCAGCGTGCTC-1", "d15.data_GAATAGAAGCGCGTTC-1", "d15.data_AGGATAAAGTGGCAGT-1", "d15.data_TGTCCTGTCATCACCC-1", "d15.data_GTTGTAGAGGTAATCA-1", "d15.data_TCATGGATCCGAACGC-1", "d15.data_CCATCACGTATCGTAC-1", "d15.data_CTCCCTCGTTACACAC-1", "d15.data_TCTTGCGTCCGTGCGA-1", "d15.data_ACATCGAAGGACAACC-1", "d15.data_TAGACTGGTCCGACGT-1", "d15.data_TGGGATTCATAGTCAC-1", "d15.data_ACCAACAGTAACAAGT-1", "d15.data_ACATGCAAGCTGAAGC-1", "d15.data_GTGGAGATCCCGAGGT-1", "d15.data_TCAGGTAAGTAATACG-1", "d15.data_GTGAGGAGTATTGACC-1", "d15.data_CAGCAGCGTGCAATAA-1", "d15.data_TTGGTTTCATGAGAAT-1", "d15.data_GATTGGTGTCGTCAGC-1", "d15.data_TGAGCATGTTGATCGT-1", "d15.data_CCTAAGAAGCCGAATG-1", "d15.data_ATGGGAGGTTGTCTAG-1", "d15.data_GTCCACTTCCGAGTGC-1", "d15.data_CGAGAAGGTTCAAACC-1", "d15.data_CATCGTCTCCTCATAT-1", "d15.data_GTCGCGATCAGTCTTT-1", "d15.data_CCACAAATCCCTCGAT-1", "d15.data_CGTCAAAGTTTAGACC-1", "d15.data_TTTAGTCCAATCTCTT-1", "d15.data_TGCACGGGTAGTATAG-1", "d15.data_AGTGATCCACAACGAG-1", "d15.data_ATCCATTGTTTAGACC-1", "d15.data_AGTCACAGTGCGGATA-1", "d15.data_TCGGGCAGTCCTCCTA-1", "d15.data_CAGGTATAGGTAGCCA-1", "d15.data_TCATGCCCAAACTAAG-1", "d15.data_CGTGATACATGTGACT-1", "d15.data_ATCGATGTCCATGAGT-1", "d15.data_TGATTCTAGATCGCCC-1", "d15.data_GTTACCCCACAACATC-1", "d15.data_GTCTTTAAGGGCAAGG-1", "d15.data_ATGCGATCAACCCTCT-1", "d15.data_CTGTCGTCAACTCGAT-1", "d15.data_GGAGCAAGTACAAAGT-1", "d15.data_GTCAAGTAGCCAAGTG-1", "d15.data_CCTCTAGCATCCGAGC-1", "d15.data_AGGGAGTCATTCATCT-1", "d15.data_TTGGGCGTCGAAATCC-1", "d15.data_TAACCAGGTTCAGCTA-1", "d15.data_GCCATGGAGAGTGACC-1", "d15.data_AACAGGGTCTAGAACC-1", "d15.data_TTCCGTGTCCACACAA-1", "d15.data_AGGTTACGTCCCAAAT-1", "d15.data_GGTAACTGTCTTGCTC-1", "d15.data_ATCGTAGTCGATAACC-1", "d15.data_TCTCACGGTGGCTACC-1", "d15.data_CACTGAAGTTACCGTA-1", "d15.data_GGTAATCGTGGCTAGA-1", "d15.data_TGTTTGTGTCGTCGGT-1", "d15.data_ACTTAGGGTCGTTGCG-1", "d15.data_AACCCAAGTTTGTGGT-1", "d15.data_CGAGGCTGTCACATTG-1", "d15.data_TGACTCCGTAATTAGG-1", "d15.data_ATCCGTCGTTGCCAAT-1", "d15.data_ACCTGAAGTTTCACTT-1", "d15.data_ATGCCTCAGTTGGGAC-1", "d15.data_GGGTTATCACTTGGGC-1", "d15.data_TCATTACTCCTTATCA-1", "d15.data_GTTACGAGTATCCTTT-1", "d15.data_AATCACGGTATCACCA-1", "d15.data_CAACAGTTCCAGTGTA-1", "d15.data_TTCCGTGTCAGCTTCC-1", "d15.data_ATACCTTCACCAACAT-1", "d15.data_TATCTGTGTCGACTGC-1", "d15.data_AGACAGGGTTGCTGAT-1", "d15.data_GTTAGTGGTGGGACAT-1", "d15.data_GAGGCCTAGATGACCG-1", "d15.data_CACAGATCAGCAGTGA-1", "d15.data_TTAGTCTCAATACGAA-1", "d15.data_GTAGGAGCACCCGTAG-1", "d15.data_AGGGAGTTCCTGGGTG-1", "d15.data_CTCCCTCAGCACACAG-1", "d15.data_AAAGGATAGTAGTCCT-1", "d15.data_GGGTATTTCGTCGATA-1", "d15.data_CTATCCGGTGCACGCT-1", "d15.data_TGCAGTAGTCCTCATC-1", "d15.data_CGATGGCCAATGACCT-1", "d15.data_ACAAAGAAGGGCAAGG-1", "d15.data_ATTCCTACACTACTTT-1", "d15.data_CCAATTTTCATGAGTC-1", "d15.data_CGGAATTGTTTGCAGT-1", "d15.data_GAGGGTACACAGTCCG-1", "d15.data_TTGTGGAGTGCAACGA-1", "d15.data_TTACCGCGTCAGCTTA-1", "d15.data_CGAGGAACACCATAAC-1", "d15.data_CTACGGGGTGCATTTG-1", "d15.data_GCCAGGTTCCCGTGTT-1", "d15.data_GAAGCGACATGGCACC-1", "d15.data_GGAGGATCATGGGATG-1", "d15.data_AACTTCTTCCGCACTT-1", "d15.data_CGATCGGAGGTCATAA-1", "d15.data_GACGTTACACGCAAAG-1", "d15.data_ATACCGAGTGGAGAAA-1", "d15.data_AATTTCCCAGAAATTG-1", "d15.data_GCACTAAGTGGTCTTA-1", "d15.data_TAGGAGGTCAAACGTC-1", "d15.data_TTGCGTCAGTCACTAC-1", "d15.data_CATGCCTAGGGAGGGT-1", "d15.data_GGGTCACTCTGTCTCG-1", "d15.data_GTGCTGGCATAATGCC-1", "d15.data_GAGGGATAGTCCCGGT-1", "d15.data_AACTTCTCATAAGCGG-1", "d15.data_CCGAACGCATTGTACG-1", "d15.data_TGTTGGAAGGAAGTAG-1", "d15.data_ACATCCCAGCAGGCTA-1", "d15.data_TGTTCTACACTTGTCC-1", "d15.data_GGTTGTAAGGGCGAGA-1", "d15.data_AGGGTCCGTAAGAACT-1", "d15.data_GGTTCTCGTATTCCTT-1", "d15.data_TCCTTTCAGGGCGAAG-1", "d15.data_CTGTGGGGTCTACAAC-1", "d15.data_AGAGAATTCTTACGTT-1", "d15.data_TTGGATGGTCCTTGTC-1", "d15.data_GGGCTCACAAATCAGA-1", "d15.data_CATGCAAAGGGTACAC-1", "d15.data_GTAATGCTCAAATAGG-1", "d15.data_ATGGGTTTCGTGTGAT-1", "d15.data_CTCCTTTTCTGCAGCG-1", "d15.data_TGCTGAATCCACAGGC-1", "d15.data_TTGTGTTCATTGCCTC-1", "d15.data_ACAGGGAAGCGAGGAG-1", "d15.data_GTAACCAGTTTAGAGA-1", "d15.data_CAGGCCAGTACAGTAA-1", "d15.data_GTCGAATGTCCCGGTA-1", "d15.data_CAGATACTCATTGAGC-1", "d15.data_GAAGGGTTCGCTTACC-1", "d15.data_GTCGTTCAGTTTGGCT-1", "d15.data_CGTGATAAGTCTCGTA-1", "d15.data_GACACGCTCAAAGGTA-1", "d15.data_ATTACCTTCGCGTGCA-1", "d15.data_ACCCTTGGTGCGTCGT-1", "d15.data_GTCTAGACAGGCACTC-1", "d15.data_ACGTTCCAGTTACTCG-1", "d15.data_AGACTCATCCATATGG-1", "d15.data_TTCTAGTGTCTCAAGT-1", "d15.data_CGCGTGATCTAGACCA-1", "d15.data_GCCGATGCACATGTTG-1", "d15.data_TGTCCACCAGTAACGG-1", "d15.data_TATCGCCCAGACGGAT-1", "d15.data_ATCGTGAGTATAGGGC-1", "d15.data_CGAGGAAAGTATGTAG-1", "d15.data_CTCAATTGTGCCTGAC-1", "d15.data_ACCTGAAAGAGATGCC-1", "d15.data_TGTTCTACACTTCATT-1", "d15.data_ACCAAACGTCGAAGCA-1", "d15.data_CTCAGTCCAACTTCTT-1", "d15.data_CATCGGGTCCTGATAG-1", "d15.data_AGTCATGAGATGGTCG-1", "d15.data_TCTTAGTCAGAACGCA-1", "d15.data_GACCAATTCAGACTGT-1", "d15.data_GGTCTGGGTTGTGTTG-1", "d15.data_ATGAGTCAGTTTCGAC-1", "d15.data_GAAGGGTTCTACCACC-1", "d15.data_ATGAGTCAGTTTGGCT-1", "d15.data_TGGTGATGTATTTCGG-1", "d15.data_AAATGGAGTATGAGGC-1", "d15.data_AAAGAACGTTGCCGAC-1", "d15.data_TTCGCTGCATGACGGA-1", "d15.data_GAGCTGCGTATTGGCT-1", "d15.data_CGGACACAGCTATCCA-1", "d15.data_GGTGAAGTCAGCGTCG-1", "d15.data_ATTTACCGTCATCGCG-1", "d15.data_TGGGCGTAGAAACCAT-1", "d15.data_TATCTGTTCGCCAATA-1", "d15.data_TTGGATGAGAGTTCGG-1", "d15.data_GATGCTAAGTATGGCG-1", "d15.data_TTTACGTCAAACGTGG-1", "d15.data_GTTACCCAGTTTGGCT-1", "d15.data_TATGTTCAGTTAGTGA-1", "d15.data_GTCATCCTCTAACACG-1", "d15.data_TATCAGGGTTGCCAAT-1", "d15.data_GCTACCTAGATGTAGT-1", "d15.data_AGAAGTATCAAAGGAT-1", "d15.data_GGAAGTGCATAGGAGC-1", "d15.data_GGGTGTCTCCGACGGT-1", "d15.data_ACATCGAGTCCCGCAA-1", "d15.data_TTTGACTCAACGACAG-1", "d15.data_CTCCACATCCCAGGAC-1", "d15.data_CAGGTATCAACCACAT-1", "d15.data_AATGGAAGTACTAACC-1", "d15.data_TAGTGCATCTGCTCTG-1", "d15.data_CTGCGAGAGAGGATCC-1", "d15.data_GAGGGATGTTCAAACC-1", "d15.data_TATCTTGTCAAACCTG-1", "d15.data_AGCATCAAGCAGGTCA-1", "d15.data_GGGACTCCACTCACTC-1", "d15.data_TGAGCGCAGAAACTGT-1", "d15.data_TGCTCCATCTCCACTG-1", "d15.data_GAGTGAGCACCGCTGA-1", "d15.data_GCTACCTGTCTTAGTG-1", "d15.data_TATCTTGCACTTGGCG-1", "d15.data_TCATTCACACGTACAT-1", "d15.data_GCACGGTGTGGCTGCT-1", "d15.data_TTCAGGAGTGCAATGG-1", "d15.data_TTGTGGAAGCTTTCTT-1", "d15.data_CAGCACGCAAGCGCAA-1", "d15.data_ATTCATCGTACAGCGA-1", "d15.data_TGACTCCTCTCATTGT-1", "d15.data_GTCGCGAGTACATTGC-1", "d15.data_GTTTGGAGTGTGACCC-1", "d15.data_AGCTCAAGTCCGACGT-1", "d15.data_ACGGGTCTCGCTTGAA-1", "d15.data_AACAAAGGTACGAGTG-1", "d15.data_CCACACTCACAAGGTG-1", "d15.data_CACCAAAAGGCTTAAA-1", "d15.data_AGAGAATAGCAACAAT-1", "d15.data_CTCACTGCAAGTGCTT-1", "d15.data_GGAGATGTCCTCGCAT-1", "d15.data_TAGGTTGTCAAAGCCT-1", "d15.data_TTGCGTCCAAGGACAC-1", "d15.data_TCAAGACTCCGGTTCT-1", "d15.data_TTCTAACCAACGCCCA-1", "d15.data_TTCTGTAGTACAAGTA-1", "d15.data_GTCTAGAAGCCTGACC-1", "d15.data_ATCACGAAGTAGGATT-1", "d15.data_CTTGATTGTGCACATT-1", "d15.data_CCTCATGCACTTGAAC-1", "d15.data_TTACGTTCAAGACCGA-1", "d15.data_GGGTGAATCCGTAGGC-1", "d15.data_GGCAGTCAGAATTCAG-1", "d15.data_TTCTAACTCTGCATAG-1", "d15.data_GTGGTTAGTGCACATT-1", "d15.data_GCGGATCTCTGAGGTT-1", "d15.data_GAGTTTGGTACACTCA-1", "d15.data_ATCGCCTTCAAATGCC-1", "d15.data_GCAGGCTTCGTGGACC-1", "d15.data_GTGTTAGAGTTGCATC-1", "d15.data_CTGCGAGTCTCGTTTA-1", "d15.data_CGATCGGAGGAAAGTG-1", "d15.data_GTGACGCTCCATGCAA-1", "d15.data_TGTTCTAAGCATAGGC-1", "d15.data_CCTCAACTCCACCTCA-1", "d15.data_AGTGATCTCGATCCCT-1", "d15.data_CGAATTGAGACTCAAA-1", "d15.data_TAACGACGTCAACCAT-1", "d15.data_CTGCATCGTACGCTAT-1", "d15.data_CATACAGGTGGGTATG-1", "d15.data_CTACTATTCTAGGCCG-1", "d15.data_GGAGGATCACACCTTC-1", "d15.data_TGCTCGTCAAGTGCTT-1", "d15.data_TGATCTTCAACCGACC-1", "d15.data_TTGTTTGCATTGCTGA-1", "d15.data_ACTCCCAAGTAGGTTA-1", "d15.data_TCGGTCTTCATGGATC-1", "d15.data_GAAACCTCAAATGGCG-1", "d15.data_ACTGTCCGTTCGATTG-1", "d15.data_TGATCTTGTCACTCGG-1", "d15.data_CACTTCGTCGACCAAT-1", "d15.data_ACAGAAAGTGACTCTA-1", "d15.data_CGTAGTACAGAACGCA-1", "d15.data_CGATCGGGTGCATGTT-1", "d15.data_AATGAAGGTCTCTCAC-1", "d15.data_ATTCTACGTGATTAGA-1", "d15.data_GTGCTGGGTGGACCTC-1", "d15.data_CGAGGCTTCTAGTACG-1", "d15.data_TTCACCGGTCATCACA-1", "d15.data_TTGCGTCAGGACCCAA-1", "d15.data_ATCACAGAGGGCATGT-1", "d15.data_TGCAGGCTCTAGTGTG-1", "d15.data_GTGCTGGTCAATCTTC-1", "d15.data_CATCGTCCAGCCTACG-1", "d15.data_AACCCAAAGAAATTCG-1", "d15.data_CCGCAAGTCGACCCAG-1", "d15.data_ACAAAGAGTGAGATCG-1", "d15.data_ATACTTCAGTCTAGAA-1", "d15.data_TTTCCTCAGGCCTGAA-1", "d15.data_CAGATACTCAGAGTTC-1", "d15.data_TTACCGCGTGGAACCA-1", "d15.data_CATTCTAGTTTGAAAG-1", "d15.data_TCATTTGGTCTTACAG-1", "d15.data_ATGTCCCTCCTTCTGG-1", "d15.data_GAAGGGTTCTTCCGTG-1", "d15.data_CAGCCAGAGTCTAGAA-1", "d15.data_ACTTTCAAGGTGGCTA-1", "d15.data_TTCCGGTCATGCGGTC-1", "d15.data_GGGCTACTCTAGTGTG-1", "d15.data_ACACGCGGTCAGGAGT-1", "d15.data_ATCCGTCCAGCGATTT-1", "d15.data_CCACCATAGCCTCTGG-1", "d15.data_TGGAACTCAAAGAGTT-1", "d15.data_CCAATGATCCGTGACG-1", "d15.data_ACTTAGGGTAGAGATT-1", "d15.data_AGACACTTCACGGAGA-1", "d15.data_ACTTTCACAGAGCTAG-1", "d15.data_AGCGTATTCCTAACAG-1", "d15.data_GAAGCGATCATTGCGA-1", "d15.data_TGGAACTTCTATCGCC-1", "d15.data_GTTGTGATCCATTCGC-1", "d15.data_CATAAGCAGGGCCTCT-1", "d15.data_GAGTGAGGTTCAAGTC-1", "d15.data_GTAATCGCAACCGATT-1", "d15.data_TCGGTCTAGTGATAAC-1", "d15.data_GCTTGGGGTGATTAGA-1", "d15.data_TTTGTTGAGAATAACC-1", "d15.data_GATCACAAGGATCATA-1", "d15.data_TACCGGGTCTAGCCAA-1", "d15.data_CACAACATCATCACAG-1", "d15.data_CTTGAGACAGGAAGTC-1", "d15.data_TTTACCATCGTAGCCG-1", "d15.data_GACAGCCAGAACTGAT-1", "d15.data_CTTCCTTCAATCCTAG-1", "d15.data_AGATCCAGTGTAGTGG-1", "d15.data_CACGTTCTCCGCACTT-1", "d15.data_CCCTCTCCATGATCTG-1", "d15.data_ACTGCAAGTTTCCCAC-1", "d15.data_CCTCAGTCAACCGGAA-1", "d15.data_ACACGCGCACACTGGC-1", "d15.data_AAGATAGGTTTCGTAG-1", "d15.data_CATACAGCAGACAATA-1", "d15.data_GGAGGATAGTATGCAA-1", "d15.data_CATGCAAGTGTAAACA-1", "d15.data_GCCAGCACAACTCATG-1", "d15.data_ACATCGATCATTGCTT-1", "d15.data_GTTGAACTCTGTCCCA-1", "d15.data_AAATGGACAGGTGACA-1", "d15.data_CATACTTCAGACCCGT-1", "d15.data_GTCTTTAAGACTACCT-1", "d15.data_CTCAATTTCATCCCGT-1", "d15.data_TAGAGTCTCAGAATAG-1", "d15.data_ATTCAGGCAAGTTCGT-1", "d15.data_AGGCATTCATCCGCGA-1", "d15.data_AGGCTGCAGCAATAGT-1", "d15.data_ACTTATCAGGTTCTAC-1", "d15.data_ACTATTCTCGGTTAGT-1", "d15.data_CAACAGTGTACTGGGA-1", "d15.data_AGGCTGCCACCATTCC-1", "d15.data_CTGCCTAGTTGCTGAT-1", "d15.data_TCCATCGCATACACCA-1", "d15.data_AGGGCCTGTATCGTAC-1", "d15.data_ATCGCCTGTCTTGCGG-1", "d15.data_GTATTTCGTGCATGAG-1", "d15.data_ATCCCTGAGCGTTCAT-1", "d15.data_TACCTCGTCCGAAGGA-1", "d15.data_TGGTACATCTACGGTA-1", "d15.data_CATTCTACATGGATCT-1", "d15.data_GGTGAAGAGTACCGGA-1", "d15.data_CAACCAAAGATTCGAA-1", "d15.data_GGAGAACAGTTGCGAG-1", "d15.data_CTCCAACGTATGGAGC-1", "d15.data_ACTGATGCACCTGAAT-1", "d15.data_ATGCCTCTCACAGAGG-1", "d15.data_CGAGTGCGTACCGCGT-1", "d15.data_ATGATCGCACTATGTG-1", "d15.data_CATACCCCATCCGATA-1", "d15.data_CCGTTCATCTCATGCC-1", "d15.data_AGACACTCAGACATCT-1", "d15.data_TGTTGGAGTTACGCCG-1", "d15.data_AGTGATCTCCTGATAG-1", "d15.data_TTGAGTGGTTACGGAG-1", "d15.data_CATGAGTCACTAGAGG-1", "d15.data_AACCAACGTGAATTAG-1", "d15.data_AGAAATGTCTTTCCAA-1", "d15.data_GTTGTGAGTCATGACT-1", "d15.data_TCAGTGACACACGTGC-1", "d15.data_CTTCTCTTCTCTGCTG-1", "d15.data_GTTGAACCAGTTGCGC-1", "d15.data_TGAGACTGTCGGCCTA-1", "d15.data_CACAGGCGTGATGGCA-1", "d15.data_GAGACCCCATGACTGT-1", "d15.data_GTAACACGTGAGAACC-1", "d15.data_CATCGCTTCCTACGAA-1", "d15.data_GTTGTCCAGACTAGAT-1", "d15.data_ACTGTCCAGCCAGAGT-1", "d15.data_CATCCCAAGGCTAACG-1", "d15.data_TACGTCCCAGTGGCTC-1", "d15.data_TCGAAGTCACGCGTCA-1", "d15.data_GGGATGAGTTGCATCA-1", "d15.data_TGACAGTAGTTCCATG-1", "d15.data_GTAACACCATTAAGCC-1", "d15.data_GAATCGTCATCCTCAC-1", "d15.data_GTATTGGCAATCAGCT-1", "d15.data_GTCCACTTCACAATGC-1", "d15.data_TTGAGTGCAGTTTGGT-1", "d15.data_GGGAGATGTTAACCTG-1", "d15.data_GAGCTGCTCATGGTAC-1", "d15.data_ACCACAATCAAGCCAT-1", "d15.data_TGCTGAAAGTCATCGT-1", "d15.data_GCTTTCGGTGGCTACC-1", "d15.data_ACTCCCACAAATCAAG-1", "d15.data_CATGGATCATGATCTG-1", "d15.data_CTTTCGGCACACGCCA-1", "d15.data_GAGGGATTCGAGCTGC-1", "d15.data_CCCTCTCGTGCCAAGA-1", "d15.data_CCTCAACGTTGCTAGT-1", "d15.data_TCCACCAGTCCCTGAG-1", "d15.data_CATTCATTCTACTATC-1", "d15.data_AAAGGGCTCGAGATGG-1", "d15.data_AGAACCTCAGCTTTCC-1", "d15.data_GTAACCATCAGCTTGA-1", "d15.data_CCTCCAATCAACGAGG-1", "d15.data_AGGTCTATCTGCTTAT-1", "d15.data_AGGGCCTCATCCTTCG-1", "d15.data_TGTAGACCACTTGTGA-1", "d15.data_GGACGTCAGGAAGAAC-1", "d15.data_TTTGATCGTACGATGG-1", "d15.data_CTCTCAGAGGTATTGA-1", "d15.data_AGGACGAAGGGAGGGT-1", "d15.data_ACAGCCGCAACCCGCA-1", "d15.data_TCACGCTAGTTCCGTA-1", "d15.data_CCGCAAGGTGGAAATT-1", "d15.data_ATCGGCGTCACTCTTA-1", "d15.data_AACGAAACAGACCAAG-1", "d15.data_GTGCTGGCACCGCTAG-1", "d15.data_TCTTTGATCGTCAACA-1", "d15.data_CGAAGGAGTTTGACAC-1", "d15.data_GATGACTCATCATCTT-1", "d15.data_CCTTTGGCAATTCTTC-1", "d15.data_GTGCTTCAGATGAATC-1", "d15.data_ATAGGCTCATGACGAG-1", "d15.data_ATGACCAGTGCTTCAA-1", "d15.data_CGGTCAGTCGAACCTA-1", "d15.data_GTCGCGAGTCAGTTTG-1", "d15.data_TTCTAGTCACCTCTAC-1", "d15.data_ACATCGAGTTGTGCAT-1", "d15.data_TCCTCCCGTAGCACGA-1", "d15.data_GTCTACCTCTTCCAGC-1", "d15.data_GACTATGGTGTTTCTT-1", "d15.data_CAAGGGAAGCAAACAT-1", "d15.data_TGAGACTTCGACCAAT-1", "d15.data_ATCCTATCAAGCAATA-1", "d15.data_GTTGTAGCACAGCCAC-1", "d15.data_ATCGGATGTTATCCAG-1", "d15.data_ATGCGATGTGCTTCAA-1", "d15.data_TACCCGTCACCCTATC-1", "d15.data_GATCGTACACTGTTCC-1", "d15.data_TGCTTCGGTTCGTTCC-1", "d15.data_GACTCAACATCAGCAT-1", "d15.data_TTCTAGTGTGGACCAA-1", "d15.data_AGATGAAAGCGAACTG-1", "d15.data_GCATCTCCAAATACAG-1", "d15.data_ACTCCCAAGGCACCAA-1", "d15.data_GGGAGTAGTGTGTCCG-1", "d15.data_GATTTCTTCATGGGAG-1", "d15.data_ATTTACCCAAACGAGC-1", "d15.data_GTAATCGTCCATAGGT-1", "d15.data_GGAAGTGGTTACGGAG-1", "d15.data_TCATTTGAGTATGCAA-1", "d15.data_ATGAGGGTCCACAGCG-1", "d15.data_GGTGTCGAGGCCTAAG-1", "d15.data_TTCCTCTGTGCATGTT-1", "d15.data_CTCCTCCTCAACCGAT-1", "d15.data_GTCGTAAAGTTATGGA-1", "d15.data_TTCCTCTCAACTGGTT-1", "d15.data_ATTATCCGTACAGCGA-1", "d15.data_TTCCTAATCCATTCGC-1", "d15.data_TACCCACCACTTGTGA-1", "d15.data_GATTGGTTCCAAGAGG-1", "d15.data_AGGACGACACTGATTG-1", "d15.data_GATTCGACAAATGGAT-1", "d15.data_TTTCATGGTATGGTTC-1", "d15.data_GAGGCCTTCTATTTCG-1", "d15.data_AGGTAGGAGACATCAA-1", "d15.data_CCTACGTTCGTCAACA-1", "d15.data_ATCATTCCAGCACAAG-1", "d15.data_TTGTGTTCAGTCAACT-1", "d15.data_GTAATCGGTTACGTAC-1", "d15.data_AGGTTACAGCTGCCAC-1", "d15.data_CATCAAGTCGGCCCAA-1", "d15.data_AATGGAACAATCGTCA-1", "d15.data_CAAAGAACAACCGTAT-1", "d15.data_TGATTTCAGAATCCCT-1", "d15.data_GATAGCTTCGTTTACT-1", "d15.data_TCGTAGATCAGCGTCG-1", "d15.data_ACTATTCGTTTCCCAC-1", "d15.data_GCGATCGTCAAGATAG-1", "d15.data_AAAGAACCACATAACC-1", "d15.data_ATAGACCGTGGCCTCA-1", "d15.data_CGCATAAGTTGGAGAC-1", "d15.data_TGATGGTTCCTACTGC-1", "d15.data_CTTTCGGGTAATTAGG-1", "d15.data_AACCTTTGTGCACGCT-1", "d15.data_TGTGATGTCCAAGCAT-1", "d15.data_TGCTGAAGTCCTGGGT-1", "d15.data_ATCCACCCAGAACTTC-1", "d15.data_AGTGATCCAGGTTCCG-1", "d15.data_CGCATGGTCTTGGGCG-1", "d15.data_GACAGCCAGATACCAA-1", "d15.data_TTCGGTCTCCTCACCA-1", "d15.data_AAGTGAAGTTTCCAAG-1", "d15.data_ACAGGGAGTCAAATCC-1", "d15.data_TGGTACAAGGCAGTCA-1", "d15.data_AGGTAGGTCCTCTAAT-1", "d15.data_GTAGCTAAGTAATTGG-1", "d15.data_ACTGTGAAGCAAGTGC-1", "d15.data_TCGGGACTCCGTCCTA-1", "d15.data_TGACCCTGTGCCGTAC-1", "d15.data_TGTGCGGCACAACGCC-1", "d15.data_AACGTCATCGTGGCGT-1", "d15.data_CTCCAACCAGAGGCTA-1", "d15.data_TATCGCCTCTCCTGAC-1", "d15.data_CCTCATGTCAGAGCAG-1", "d15.data_CCACAAAAGTTAGTGA-1", "d15.data_GTCCACTGTTTCGTGA-1", "d15.data_TGGAGAGCAAGTATCC-1", "d15.data_CGATGCGTCAGGAACG-1", "d15.data_CAGTTCCTCGCATTAG-1", "d15.data_TCTTTGATCGTAGAGG-1", "d15.data_AGAAATGAGGCTTTCA-1", "d15.data_CCTAACCAGATCCCAT-1", "d15.data_GCGGAAATCGGTGTTA-1", "d15.data_GGTGAAGCAATAGAGT-1", "d15.data_GGAACCCCATGCCATA-1", "d15.data_TGCATGAAGACGCCAA-1", "d15.data_GATCAGTAGCAGGCTA-1", "d15.data_GTAGATCTCTGGTGGC-1", "d15.data_CCTACGTCAGTTGAAA-1", "d15.data_CTCACTGCATCGGATT-1", "d15.data_ACCTACCGTATGCAAA-1", "d15.data_TTACAGGTCCGATAAC-1", "d15.data_CTCAACCTCGACCACG-1", "d15.data_GCTGAATTCTAGAACC-1", "d15.data_GAGGGATTCTACACTT-1", "d15.data_TCATTACCACCTTCCA-1", "d15.data_CGATGGCGTCAACCAT-1", "d15.data_GGGAGTATCAGATTGC-1", "d15.data_GCTCAAAGTTCGGGTC-1", "d15.data_TTACCGCCACAGGATG-1", "d15.data_TGTTGAGGTCGTTTCC-1", "d15.data_CGTTGGGTCGTAACAC-1", "d15.data_GAACACTGTGCGACAA-1", "d15.data_GTACAGTAGCCACAAG-1", "d15.data_TTGGGATAGCACAAAT-1", "d15.data_TCTTTGAAGGTCTACT-1", "d15.data_TCATTACAGACCATAA-1", "d15.data_TCCTCGAAGCAAATCA-1", "d15.data_AGGAGGTTCCCTGTTG-1", "d15.data_AACACACAGCACGATG-1", "d15.data_TTTCCTCTCAAGTCTG-1", "d15.data_GAAGTAATCACCATCC-1", "d15.data_ACGGTTAGTAATGCGG-1", "d15.data_TTAGGCAAGGTCTACT-1", "d15.data_TACTTACAGAATAGTC-1", "d15.data_AGTCTCCAGCAGCCTC-1", "d15.data_AGCATCAGTGGCTCTG-1", "d15.data_TGTGATGCACAAGCAG-1", "d15.data_CTGGCAGGTAGTATAG-1", "d15.data_TACCTCGGTTTGAACC-1", "d15.data_TTGCATTCATGGCTGC-1", "d15.data_ATTTCTGGTGCGTGCT-1", "d15.data_GTATTGGGTGCCGTAC-1", "d15.data_CCGTAGGCATGTTCGA-1", "d15.data_TTTACTGTCGTCAGAT-1", "d15.data_CTTCAATCAATTTCTC-1", "d15.data_TATCCTATCTAGTGTG-1", "d15.data_ACTTCGCAGCTAGCCC-1", "d15.data_AGGATCTAGCTTGTTG-1", "d15.data_GTGGAGACAAATGCTC-1", "d15.data_GTAGTACTCTCTCTAA-1", "d15.data_TTAGTCTGTCTGTGCG-1", "d15.data_CCATCACTCTCTGAGA-1", "d15.data_TGAGCATGTAGTATAG-1", "d15.data_TGTAGACCATTGCAAC-1", "d15.data_ATCACGACAGCTTCCT-1", "d15.data_GATTCGATCAATCAGC-1", "d15.data_TTGAACGGTATTGAGA-1", "d15.data_TCATTACAGTGGAAAG-1", "d15.data_GACTCTCCAAGACTGG-1", "d15.data_GTCTGTCGTTAACAGA-1", "d15.data_GCATCGGCAAACTGCT-1", "d15.data_CGATGCGTCTTTCCGG-1", "d15.data_ACTTCGCCATACAGCT-1", "d15.data_TTGGGTACAACTGCTA-1", "d15.data_TCATGTTCATGGCACC-1", "d15.data_GGTAACTAGTATGACA-1", "d15.data_CCCGAAGGTTAACAGA-1", "d15.data_GTCATCCCACACGCCA-1", "d15.data_GTATTGGCACTCTCGT-1", "d15.data_CTATCCGTCAGTGTCA-1", "d15.data_GTCGCGAAGCTAATGA-1", "d15.data_GGACGTCCAGGCAATG-1", "d15.data_AGGTCTAAGATGCAGC-1", "d15.data_GTTACAGGTATAGGAT-1", "d15.data_TTGGTTTTCGATACGT-1", "d15.data_ATACCGATCTCAATCT-1", "d15.data_GGAGCAACACATATGC-1", "d15.data_CGGGCATAGGACTATA-1", "d15.data_ATTTACCAGCGGTATG-1", "d15.data_CTGAATGAGTTGCTGT-1", "d15.data_TCATGTTGTTATCCAG-1", "d15.data_TCCAGAACAGTCAGCC-1", "d15.data_CCTCTAGTCATACGAC-1", "d15.data_TCGCAGGCACAAGCTT-1", "d15.data_AGGGTGAAGGTATTGA-1", "d15.data_ACATCCCGTGCAACAG-1", "d15.data_ATCACTTAGGGAACAA-1", "d15.data_TTCTAACCAAGTACCT-1", "d15.data_ATCCACCTCGTAGGAG-1", "d15.data_AACCTGAAGAGGTGCT-1", "d15.data_GTAGGAGTCCTCGCAT-1", "d15.data_TGAGGGACACGTGTGC-1", "d15.data_CTGCGAGCACTCAAGT-1", "d15.data_GCGGATCTCTCGACGG-1", "d15.data_GTGTGGCCACTCCGGA-1", "d15.data_TACCGAAAGCCTTGAT-1", "d15.data_TCCACGTAGACTAGAT-1", "d15.data_GGTTGTAGTTTAGTCG-1", "d15.data_TTACAGGCATAACTCG-1", "d15.data_ATTATCCCACTGCGTG-1", "d15.data_CGGAATTAGGGATCAC-1", "d15.data_ACACTGACAAGGCAAC-1", "d15.data_CGGAACCGTCAGACTT-1", "d15.data_GTTGTCCTCACCTGGG-1", "d15.data_CCTGCATCAACGTAAA-1", "d15.data_ATGTCCCAGGTAATCA-1", "d15.data_GAATCACGTACTGCGC-1", "d15.data_TATATCCGTTCAAAGA-1", "d15.data_CATAAGCCAAACCACT-1", "d15.data_GCACTAAAGCGTCGAA-1", "d15.data_ATGCCTCAGTACGAGC-1", "d15.data_ATGACCAGTTGTGTAC-1", "d15.data_TGGTAGTTCAAGATAG-1", "d15.data_GATTCGACACTCCACT-1", "d15.data_TCGACCTAGATCACCT-1", "d15.data_TCACGGGAGTATTGCC-1", "d15.data_CTCCACACACACGGTC-1", "d15.data_GACATCAGTTTCGACA-1", "d15.data_ATCACTTAGACAGTCG-1", "d15.data_TCATCCGGTTAAGTCC-1", "d15.data_CCTAAGATCTTCGGAA-1", "d15.data_ACTATTCTCTAGTCAG-1", "d15.data_TCCCATGTCTGCCCTA-1", "d15.data_AGTCATGCACAATGCT-1", "d15.data_CCTGTTGTCTCCAATT-1", "d15.data_GTACAGTAGGACAGTC-1", "d15.data_GCGAGAACATATGAAG-1", "d15.data_GATGATCTCCGAGATT-1", "d15.data_TTCTCTCGTCTTTCAT-1", "d15.data_GATAGAACAAACACGG-1", "d15.data_GAAGCGACATTCAGGT-1", "d15.data_TACCCGTTCGACGATT-1", "d15.data_GAATCGTTCGACCTAA-1", "d15.data_ACATGCATCCTGGGTG-1", "d15.data_CTACGGGGTGTCTTCC-1", "d15.data_AGACCCGGTGGTCCCA-1", "d15.data_CGACAGCTCTGCATGA-1", "d15.data_CTCATGCAGCAACAGC-1", "d15.data_GCACGTGCAAATCGGG-1", "d15.data_CGAGGAAGTATGCGGA-1", "d15.data_TCATACTTCCGAGGCT-1", "d15.data_CCCTCAATCGCTGTTC-1", "d15.data_CCAAGCGAGAAAGCGA-1", "d15.data_GAGGCCTCATCCTGTC-1", "d15.data_GCCAGCACACCAGTAT-1", "d15.data_ACTTTCAAGAAGCCTG-1", "d15.data_CCTCTAGGTGGTCTAT-1", "d15.data_AGGAGGTTCAGCTCTC-1", "d15.data_TGGAGAGAGGACAGTC-1", "d15.data_GCCGTGATCGGCCAAC-1", "d15.data_TGCTGAAAGACGCAGT-1", "d15.data_TGAATCGCATTGCCTC-1", "d15.data_AGCCACGTCAGACCCG-1", "d15.data_TCATGCCCACAAAGTA-1", "d15.data_TGTCCACAGCTTAGTC-1", "d15.data_CATCGGGAGAAAGTCT-1", "d15.data_CGAAGGACATTGACCA-1", "d15.data_AGCATCAAGGTACTGG-1", "d15.data_TGTGTGATCTGTCGTC-1", "d15.data_CCACGAGTCTCACCCA-1", "d15.data_GTTGCGGCAGCTATAC-1", "d15.data_ATCCACCGTAGTACGG-1", "d15.data_ACGGTTACACCGTACG-1", "d15.data_TACCCGTTCAGGCGAA-1", "d15.data_GACTGATGTAACAGTA-1", "d15.data_TTGCTGCTCTATGCCC-1", "d15.data_AAGAACAGTTGTCCCT-1", "d15.data_CAGATACCATTCCTCG-1", "d15.data_ACAGGGATCCATCTAT-1", "d15.data_ATACCTTAGTTTGCTG-1", "d15.data_GTCACGGGTCGCACGT-1", "d15.data_TTCACCGCACCGTGAC-1", "d15.data_TACCCGTGTTTAGTCG-1", "d15.data_GGCTTGGCAGTATACC-1", "d15.data_ATCGTCCTCGCTTACC-1", "d15.data_CTGCCTACACATACTG-1", "d15.data_CTTGATTAGACTACGG-1", "d15.data_TGGTTAGAGTATTGCC-1", "d15.data_CTTTCGGAGACATGCG-1", "d15.data_TAGACTGTCTAGTTCT-1", "d15.data_GACACGCTCACGATCA-1", "d15.data_TTACGCCGTCGTTATG-1", "d15.data_GATGACTTCCGAAGGA-1", "d15.data_GATGACTTCTGGGATT-1", "d15.data_GGGCTCAGTAGAATAC-1", "d15.data_ACATTTCTCATCCTGC-1", "d15.data_GTAGAAATCCGATGCG-1", "d15.data_GTGGCGTCAATGAGCG-1", "d15.data_GCCCGAAAGCATGGGT-1", "d15.data_AGGATCTAGCATTGTC-1", "d15.data_TGTTTGTCAGTGGTGA-1", "d15.data_AATGCCACAGACCAAG-1", "d15.data_CTACCTGGTTCTTAGG-1", "d15.data_TGCGGGTCAGCGTAGA-1", "d15.data_ATTTACCAGCGGACAT-1", "d15.data_ACTGATGGTTCTGACA-1", "d15.data_CGTTGGGCAGAAGCTG-1", "d15.data_GACCAATTCAGAGTGG-1", "d15.data_TCACACCAGTACAACA-1", "d15.data_CGGACACAGTCCGTCG-1", "d15.data_TCTCTGGGTTGGAGAC-1", "d15.data_GTCCTCATCAAGAATG-1", "d15.data_TCAGGGCAGGTAGCAC-1", "d15.data_TTCCTCTGTCGCAGTC-1", "d15.data_CGAGGCTAGTAGAGTT-1", "d15.data_CTCAACCCAGCCGTCA-1", "d15.data_AATGGAACACAGCCTG-1", "d15.data_CTTGATTCACGATAGG-1", "d15.data_GAGACCCGTAGACAAT-1", "d15.data_TTTGGAGGTTAAACAG-1", "d15.data_AGATAGATCGTGGCTG-1", "d15.data_CGTTCTGTCCTCTAAT-1", "d15.data_AACCAACCAGGATCTT-1", "d15.data_CTCCACATCGCGTAGC-1", "d15.data_CAGCCAGAGGTGATAT-1", "d15.data_AAGACAAAGGGCCCTT-1", "d15.data_CGCAGGTCACCCTATC-1", "d15.data_GGAATCTTCTCAACGA-1", "d15.data_TATATCCGTCTTGCGG-1", "d15.data_TTCTTGAAGATCGCCC-1", "d15.data_GGGTGAACAACACGAG-1", "d15.data_GAGTTACGTATACGGG-1", "d15.data_GTAGGAGGTTTCGTAG-1", "d15.data_CTGTATTCATGACTAC-1", "d15.data_TGCTTGCCATAACCCA-1", "d15.data_CATTCATTCAGGAAAT-1", "d15.data_CAACAGTTCGAAACAA-1", "d15.data_TACTGCCAGTTACTCG-1", "d15.data_GATGAGGTCAAGAAAC-1", "d15.data_TGTGGCGAGGTACAGC-1", "d15.data_AAAGGATGTCGTAATC-1", "d15.data_AGTGTTGAGTTAGAAC-1", "d15.data_TGATCAGTCAAAGGTA-1", "d15.data_AAGCGTTTCCCGTAAA-1", "d15.data_TATCAGGGTGACCGAA-1", "d15.data_GCACATAGTACGGCAA-1", "d15.data_CACAGGCAGGCTTCCG-1", "d15.data_TAACACGAGGCTATCT-1", "d15.data_AGGATCTAGCGAATGC-1", "d15.data_CTCGAGGTCGCAGAGA-1", "d15.data_CTGGACGGTACTCAAC-1", "d15.data_CCTTTGGCAATGTCTG-1", "d15.data_ATTCCATTCTAGTACG-1", "d15.data_ACTTTGTGTAGAATAC-1", "d15.data_TCAGTTTAGGCTAGCA-1", "d15.data_TCATTCAAGAATAGTC-1", "d15.data_CTCTCGAGTCAAAGAT-1", "d15.data_AGACAGGGTCGTACAT-1", "d15.data_TGAGCGCCACAGTCAT-1", "d15.data_GAGTCTAGTTGCCAAT-1", "d15.data_AACCATGGTCATAGTC-1", "d15.data_AGCCAGCTCGTTAGTG-1", "d15.data_GCACATATCGTCTAAG-1", "d15.data_ACGTAGTTCGACACCG-1", "d15.data_TACTTACCACAAGCAG-1", "d15.data_GCCTGTTTCCAACCGG-1", "d15.data_GAGTCATCACCACTGG-1", "d15.data_AGGTCATCAGATCCTA-1", "d15.data_GGCAGTCTCGAACCTA-1", "d15.data_TCTGGCTAGAATCGTA-1", "d15.data_CGTTCTGGTTGGTAGG-1", "d15.data_ACACCAAGTATGCTTG-1", "d15.data_ACTTATCGTTCTGACA-1", "d15.data_AACAACCCAAATGGCG-1", "d15.data_TGATTCTCACCGTGGT-1", "d15.data_CTCACTGCACTGGATT-1", "d15.data_ATTCACTTCAGCTGTA-1", "d15.data_ACGATGTCACCTGAAT-1", "d15.data_CCCTCAAAGTAGCCAG-1", "d15.data_TCCACCAAGCCAAGCA-1", "d15.data_GATCAGTTCTCCCATG-1", "d15.data_CAACCAAGTACAGAGC-1", "d15.data_GAAATGAGTCCAGCAC-1", "d15.data_AGATAGAGTAATGCTC-1", "d15.data_CGAGTTAAGAGTATAC-1", "d15.data_GCAGCTGTCTCGCAGG-1", "d15.data_CCACACTCACCCTGTT-1", "d15.data_AAACCCACACCAGTTA-1", "d15.data_ACGTACAAGGCAGGGA-1", "d15.data_ATTATCCAGTACTGTC-1", "d15.data_CAGGCCACATGACGTT-1", "d15.data_GTAGAGGCATCGAAGG-1", "d15.data_AACGTCAAGCCATTTG-1", "d15.data_GCGTTTCCACCCAATA-1", "d15.data_TGGGCTGTCCATTGTT-1", "d15.data_ATCGGATGTATCTTCT-1", "d15.data_TTGGGTACACAACGAG-1", "d15.data_TGGGAAGTCTCCGAGG-1", "d15.data_TCATCCGCACGACGCT-1", "d15.data_TTTGGAGAGATACTGA-1", "d15.data_TTCTCTCCAGCGTATT-1", "d15.data_ACAACCAAGGCCTGAA-1", "d15.data_GGCTGTGAGAGCCCAA-1", "d15.data_TTCGATTCAGTAACCT-1", "d15.data_GTCTACCCAGTTTCAG-1", "d15.data_GGAGGATTCGGTCAGC-1", "d15.data_GGGATGATCATCACTT-1", "d15.data_TCGACCTCAAATGAGT-1", "d15.data_GACAGCCCAACTCGTA-1", "d15.data_CATTGTTGTAGAGATT-1", "d15.data_TCCGAAAGTCTAATCG-1", "d15.data_CATCGGGTCACTACGA-1", "d15.data_TCATGTTTCAGTGTGT-1", "d15.data_ACTTATCAGACTGAGC-1", "d15.data_TTCAATCGTAATTGGA-1", "d15.data_GTGGGAACAGTGGTGA-1", "d15.data_ACACTGAGTAATTGGA-1", "d15.data_TATACCTGTTAACAGA-1", "d15.data_AGACCCGTCGTCTACC-1", "d15.data_TAGCACATCCTCGATC-1", "d15.data_CTGCGAGCACGCTGTG-1", "d15.data_ATCATTCAGGATACCG-1", "d15.data_TAGGTACGTACTGACT-1", "d15.data_GGGCCATTCTGAATCG-1", "d15.data_ACCAACACAGCCCACA-1", "d15.data_GTTGAACTCAGCTGAT-1", "d15.data_CACGTGGGTTCGGTAT-1", "d15.data_GACCGTGTCAGATTGC-1", "d15.data_GGAGGATCAAAGCACG-1", "d15.data_AGATCCAAGAAGGTAG-1", "d15.data_TTGACCCCATGACGTT-1", "d15.data_GAGATGGTCACCGGTG-1", "d15.data_CGGAATTCAAGTGATA-1", "d15.data_CCAATTTCACCGTACG-1", "d15.data_GTAGTACCATCCCGTT-1", "d15.data_AGCATCAGTAACGTTC-1", "d15.data_TTCCTTCGTACACGTT-1", "d15.data_CCTCATGGTATGAAGT-1", "d15.data_CAGGGCTTCGACGAGA-1", "d15.data_GAGACTTGTACTGTTG-1", "d15.data_GTAGAGGGTGCACGCT-1", "d15.data_TGAGACTTCTACCCAC-1", "d15.data_GCTCAAACAGTCGGTC-1", "d15.data_TAACACGTCGGAACTT-1", "d15.data_GTCATCCTCTTACGGA-1", "d15.data_AAACGCTCAACTCCAA-1", "d15.data_ACGTAGTCATAGAGGC-1", "d15.data_CATCCCAGTTCAAACC-1", "d15.data_CAGTTAGTCGAGCACC-1", "d15.data_CCGGACACACCTGATA-1", "d15.data_TTCAGGATCTCATTTG-1", "d15.data_CCCTCTCTCTCTCGCA-1", "d15.data_TCACGGGTCGCTACGG-1", "d15.data_GAGGCAACAGAGGACT-1", "d15.data_ACCCTTGTCGAGAATA-1", "d15.data_ATTTACCAGCACTTTG-1", "d15.data_GTCTGTCTCAGGACAG-1", "d15.data_CGGAACCAGCCTCAGC-1", "d15.data_ATGGATCAGCCATCCG-1", "d15.data_GTGAGTTTCCGGCAAC-1", "d15.data_TCCTCGATCGGCCAAC-1", "d15.data_TACACCCGTCATGCAT-1", "d15.data_AGAAGCGCAAACGAGC-1", "d15.data_GCTACCTGTTTGAAAG-1", "d15.data_AAGCCATTCTCCTGAC-1", "d15.data_ACGTAGTTCTGGGCAC-1", "d15.data_GTATTGGTCAACACCA-1", "d15.data_CTGCGAGGTTAGGCCC-1", "d15.data_ATTTACCGTGCCTTTC-1", "d15.data_GCATTAGCAAGCACAG-1", "d15.data_TAAGCCAAGCGACTTT-1", "d15.data_CACGTTCTCGGCGATC-1", "d15.data_TATCTTGTCTGTGCGG-1", "d15.data_CATTGTTTCGCCACTT-1", "d15.data_AGGTAGGTCTGGTGGC-1", "d15.data_GCAGTTAAGGGATCGT-1", "d15.data_TCGCACTGTATCCTCC-1", "d15.data_CCTCACAAGTCTGGAG-1", "d15.data_GACCTTCAGCTTCTAG-1", "d15.data_CAGTGCGTCATTTACC-1", "d15.data_TTTCCTCCACGGCCAT-1", "d15.data_ACAAAGAGTCATCTAG-1", "d15.data_TTTCGATTCCACGAAT-1", "d15.data_TTGGGTATCAGCATTG-1", "d15.data_GAGTTTGCACCGTGGT-1", "d15.data_CTCCACACACACCAGC-1", "d15.data_TTTCCTCTCTGGGAGA-1", "d15.data_GTGGCGTTCGTTTACT-1", "d15.data_GGTGTCGGTCACAGAG-1", "d15.data_TGACAGTTCCTGCCAT-1", "d15.data_TGGGCGTCAAGCGGAT-1", "d15.data_GGGACCTGTGATGAAT-1", "d15.data_CAAGGGAAGGGCTTCC-1", "d15.data_TATTCCAGTAGAGCTG-1", "d15.data_CGAAGTTCAGGTTCCG-1", "d15.data_ACTCTCGAGTCACTAC-1", "d15.data_TCTCAGCAGTGTAGAT-1", "d15.data_ACCACAAGTCTGTAAC-1", "d15.data_TGCTGAACACCGTGGT-1", "d15.data_GCCCGAACAAACCATC-1", "d15.data_GGGTCACGTGACTCGC-1", "d15.data_ACATCCCCAGACATCT-1", "d15.data_ATAGACCCACGTCTCT-1", "d15.data_CATAGACTCCTACACC-1", "d15.data_TACGGTACACACCGCA-1", "d15.data_ACTTTGTTCCCTGGTT-1", "d15.data_GCATCTCGTCCACGCA-1", "d15.data_AGAAGCGAGGTAGATT-1", "d15.data_AACAACCGTGTGAGCA-1", "d15.data_GAACGTTAGCCTCCAG-1", "d15.data_AGATCCAGTTGGTACT-1", "d15.data_TGGGAGAGTACTGTTG-1", "d15.data_TGTCAGACACTCCGAG-1", "d15.data_TTGTTCATCATGCCAA-1", "d15.data_TCACACCCAGTTAAAG-1", "d15.data_CTCTCAGTCCAGCAAT-1", "d15.data_GCGGATCAGGACAGTC-1", "d15.data_TTGGTTTAGCTGCCAC-1", "d15.data_GCTGCAGAGGCTATCT-1", "d15.data_GGTGTTACACCTGATA-1", "d15.data_ACACGCGCAAGTGATA-1", "d15.data_CATCCGTGTTCGGACC-1", "d15.data_TCACATTGTGGCTACC-1", "d15.data_GAACTGTTCGACGATT-1", "d15.data_CCCTAACTCAACGTGT-1", "d15.data_AAACCCAAGGCTCACC-1", "d15.data_ACCCTCAAGTTGTACC-1", "d15.data_TGAATGCCAAAGCACG-1", "d15.data_AGGGCCTTCTGCCTCA-1", "d15.data_AGATCGTAGATACGAT-1", "d15.data_AATCACGGTGTCTCCT-1", "d15.data_AGGTTACCACGTTGGC-1", "d15.data_TTCTAACAGGTGAGCT-1", "d15.data_ATTCACTGTCTTTCAT-1", "d15.data_CATTCATTCGACCACG-1", "d15.data_TGGTAGTTCTCTGCCA-1", "d15.data_CTGAGGCGTGTTGCCG-1", "d15.data_CGTTGGGAGCTGTCCG-1", "d15.data_TTCGGTCGTTTCCAAG-1", "d15.data_TTGACCCTCAACTACG-1", "d15.data_AACCCAATCGGCAGTC-1", "d15.data_CGCCAGATCCCAGTGG-1", "d15.data_TGACCCTAGGTCCAGA-1", "d15.data_TCGACCTGTGGTAACG-1", "d15.data_CAAGACTGTCACTGAT-1", "d15.data_TTCCTCTCACGCTTAA-1", "d15.data_GACACGCCACCTCGTT-1", "d15.data_TACTTGTGTGAGATTA-1", "d15.data_ACGTACATCCACCCTA-1", "d15.data_GCGGAAACAGGGATAC-1", "d15.data_AATCACGCATCCGGCA-1", "d15.data_ACGATGTAGCACCGAA-1", "d15.data_GTTACCCAGAAACACT-1", "d15.data_CACAGGCCAGCCATTA-1", "d15.data_TTTACGTAGACTTCCA-1", "d15.data_TGTGAGTGTCCCTCAT-1", "d15.data_TTTACCAAGTTCCAGT-1", "d15.data_ACTGTCCGTCAAAGTA-1", "d15.data_TTAGGCAGTTTGAAAG-1", "d15.data_CCGATGGCAATACGCT-1", "d15.data_ACTATTCTCTGAATCG-1", "d15.data_ATTCATCGTTCGGTTA-1", "d15.data_ATACTTCTCATTGCCC-1", "d15.data_CCCTAACGTCTGCCTT-1", "d15.data_CTCTCGAGTGCGTTTA-1", "d15.data_TAACCAGAGGTTCTAC-1", "d15.data_CTTAGGAAGTCAAGCG-1", "d15.data_AGTAGCTCATTCCTAT-1", "d15.data_AGTAGCTGTATGAAAC-1", "d15.data_GTCTCACTCCATCCGT-1", "d15.data_ACTTCCGTCTACCACC-1", "d15.data_AGGGTCCCACGCACCA-1", "d15.data_GGTGATTTCTGATGGT-1", "d15.data_TGGTGATGTAACGCGA-1", "d15.data_TTCTAACCAAGTGGAC-1", "d15.data_TTCTTCCTCCCGTTCA-1", "d15.data_CCGATGGGTCATCGGC-1", "d15.data_AGCGCTGTCCATTTGT-1", "d15.data_CAGATTGAGTAAGCAT-1", "d15.data_CTCGAGGGTTGGACCC-1", "d15.data_CGTCCATCACGTCATA-1", "d15.data_TTTACCATCCGTGTAA-1", "d15.data_GTTACCCAGACTGTTC-1", "d15.data_ATTCGTTCAGACGCTC-1", "d15.data_TCCTCTTGTTTGGCTA-1", "d15.data_CCGTTCATCTGGCTGG-1", "d15.data_AGCGATTAGTTTGAGA-1", "d15.data_TTATTGCGTTGCTCGG-1", "d15.data_GTCAAACAGAGCTGCA-1", "d15.data_AACAAGACACAGCCTG-1", "d15.data_CCGGGTAAGGCAGGGA-1", "d15.data_TCTTGCGCAACTCGAT-1", "d15.data_CTCGAGGCACGAGGAT-1", "d15.data_TCATACTAGCGGGTAT-1", "d15.data_ACCCAAAAGAATTGCA-1", "d15.data_CCTAAGATCGTAGAGG-1", "d15.data_CTCCCTCTCATTCATC-1", "d15.data_AGAACAAAGAAGCTGC-1", "d15.data_TGTGTGAAGTATAGAC-1", "d15.data_AGAAGTATCTATCCAT-1", "d15.data_TCACGCTGTAAGATAC-1", "d15.data_TACATTCTCACCGGGT-1", "d15.data_CTCATTAAGGATATAC-1", "d15.data_TTGTTTGCATGAGAAT-1", "d15.data_CTACAGACAACACACT-1", "d15.data_GCTACAATCATGAGGG-1", "d15.data_TGCACGGAGGCCTTCG-1", "d15.data_TGCGATATCAGCCCAG-1", "d15.data_CTAACTTGTTGCTTGA-1", "d15.data_ACGTACAGTGGAGAAA-1", "d15.data_GAAGCGAAGCTATCCA-1", "d15.data_GAAGCGATCGTTCATT-1", "d15.data_CTTGAGACAATAGTCC-1", "d15.data_GTCATCCTCGCGTGCA-1", "d15.data_CTCGAGGTCCTTTAGT-1", "d15.data_TACCTCGTCGTTATCT-1", "d15.data_TATACCTTCGTTAGAC-1", "d15.data_TCGGGACTCATGCCAA-1", "d15.data_GTCAAGTCAGTTTCGA-1", "d15.data_GTCTAGAGTTGCCAAT-1", "d15.data_TGACGCGAGCCTAGGA-1", "d15.data_AGACCATTCTCAACGA-1", "d15.data_ACCCTCAAGACAAGCC-1", "d15.data_ACCCAAACACTTGTGA-1", "d15.data_GTTATGGTCCATTTAC-1", "d15.data_AACGAAACACCCTAGG-1", "d15.data_GGTAATCGTTGGGTTT-1", "d15.data_CAGATACGTCAACACT-1", "d15.data_TACTTCATCCGGGACT-1", "d15.data_TACCGAAGTTTGAACC-1", "d15.data_CTCCAACCACATATCG-1", "d15.data_GAATAGAGTTCGAAGG-1", "d15.data_CATCCACGTGGCTTAT-1", "d15.data_ATCGATGCAAGTGGAC-1", "d15.data_AGATGCTTCATTGAGC-1", "d15.data_CAGATTGCAGCTGTAT-1", "d15.data_GGAGGATCAGAAATTG-1", "d15.data_AAACCCATCTAAGAAG-1", "d15.data_TCATGTTTCTCAGAAC-1", "d15.data_GGAGCAACACCAGACC-1", "d15.data_TCAGCCTCAACATACC-1", "d15.data_GTGCACGCATCATGAC-1", "d15.data_CACCAAATCCGCACTT-1", "d15.data_AAAGGGCTCGCAGTCG-1", "d15.data_TCCTTTCTCTGATGGT-1", "d15.data_ATTGGGTAGTAGGGTC-1", "d15.data_GTGCGTGAGCTCGACC-1", "d15.data_CAAAGAAGTATCACCA-1", "d15.data_GTATTTCCATCCGAAT-1", "d15.data_GTTACAGGTCTTTCTA-1", "d15.data_GCAACATAGTTGAAGT-1", "d15.data_AACGTCAAGCAGATAT-1", "d15.data_CTTCGGTTCGAACCTA-1", "d15.data_CTACCTGTCGCATGAT-1", "d15.data_GCCTGTTCAAGAGAGA-1", "d15.data_GTGCGTGCATGGGATG-1", "d15.data_CTGTACCTCTTGTTAC-1", "d15.data_CAATGACTCCCATACC-1", "d15.data_TCAGTCCGTTGATGTC-1", "d15.data_CCTCAACGTACAAACA-1", "d15.data_ACAGAAACACCACTGG-1", "d15.data_CACGTTCGTTTACTGG-1", "d15.data_CAACCTCTCCCAAGTA-1", "d15.data_TCACGGGAGGGCAAGG-1", "d15.data_TACCCGTTCACTGTCC-1", "d15.data_AGACACTAGCAACTTC-1", "d15.data_GGGTGAAAGATCCTAC-1", "d15.data_CTCAACCCATCTCGTC-1", "d15.data_CTCCTCCCACAAGCCC-1", "d15.data_GATCACACACACGCCA-1", "d15.data_TTCTAACGTACGTACT-1", "d15.data_GAATAGAGTCTTCAAG-1", "d15.data_TAGATCGGTCCGGCAT-1", "d15.data_ACTTATCCAACGATTC-1", "d15.data_TTGGGCGTCCAATGCA-1", "d15.data_GGGCTCATCACCTCTG-1", "d15.data_GCCAGGTTCAAAGCCT-1", "d15.data_TATTCCAGTCTCAGAT-1", "d15.data_GATAGCTCAGGGTCTC-1", "d15.data_AGAGAATGTACATACC-1", "d15.data_TAGACTGGTCACTCGG-1", "d15.data_AAGTGAATCGAGTACT-1", "d15.data_CATGCAATCGAGAAGC-1", "d15.data_TTCCTAACAGGGACTA-1", "d15.data_TTACCATCATAAGCGG-1", "d15.data_CACAGATGTAGCGCCT-1", "d15.data_TCGGTCTCACTCAAGT-1", "d15.data_GAAGGACGTGAGAGGG-1", "d15.data_TCTAACTGTGTGACCC-1", "d15.data_GTAGCTAGTACCGGCT-1", "d15.data_ATCACAGCAACTCGTA-1", "d15.data_ACGATCAGTCGCTTAA-1", "d15.data_TCTACATTCGCCAGTG-1", "d15.data_TTGTTCAGTCATAACC-1", "d15.data_GCCATTCGTTTCACAG-1", "d15.data_AAACGCTCACGCAAAG-1", "d15.data_ACGATCAAGCACTCGC-1", "d15.data_ACGTAGTGTGTACATC-1", "d15.data_GAGTCATCACTAGTAC-1", "d15.data_GTACAACGTACCTAAC-1", "d15.data_ACGGTTACAGCCTTCT-1", "d15.data_TCAAGACAGTCCTGCG-1", "d15.data_TAACGACCAGTCAGTT-1", "d15.data_CATTGCCGTAGGTCAG-1", "d15.data_CACAACATCCTTTGAT-1", "d15.data_TTGCCTGCAGCACGAA-1", "d15.data_GCATCTCCAGACAATA-1", "d15.data_AGAGCCCAGGTCGTAG-1", "d15.data_GTGAGCCTCTCGGTCT-1", "d15.data_TCGCACTAGCAACAAT-1", "d15.data_GCCATGGGTCGTATGT-1", "d15.data_ATTCCTAGTAGGACCA-1", "d15.data_TCCTAATAGGCCTGAA-1", "d15.data_AAGACTCCAGTGCGCT-1", "d15.data_AGTTCGATCAGAGCGA-1", "d15.data_GACGCTGTCATCGTAG-1", "d15.data_TAACGACTCACAGTGT-1", "d15.data_CTGCTCAGTCTGTCCT-1", "d15.data_GATAGAACAGGCGTTC-1", "d15.data_TCAAGACAGGTCCCGT-1", "d15.data_TCGCACTCAAGCGATG-1", "d15.data_CTTCCTTAGTCATCGT-1", "d15.data_TGATTTCGTTCCTACC-1", "d15.data_CGCCATTTCGCAGATT-1", "d15.data_GGGCTCAGTTCGAACT-1", "d15.data_ATCACAGCAAGGAGTC-1", "d15.data_CCGGTAGTCCCTTTGG-1", "d15.data_ATCACTTCAGTTCTAG-1", "d15.data_ACCACAACAAATCCCA-1", "d15.data_CACGAATCATTGCCTC-1", "d15.data_GAACGTTTCAGGAAAT-1", "d15.data_AACAAGATCCGTATGA-1", "d15.data_GAGTTACGTCCACTCT-1", "d15.data_AAGTCGTCACCGGTCA-1", "d15.data_AACAAAGTCGTGCTCT-1", "d15.data_GCTTTCGTCACTCCGT-1", "d15.data_GTCTACCAGTCGAAGC-1", "d15.data_TTCCGGTTCACCTACC-1", "d15.data_AACGAAAGTTCCTTGC-1", "d15.data_ATACCGAAGCTTCATG-1", "d15.data_CCGGACATCAGTGTTG-1", "d15.data_CTGTGGGTCATACGGT-1", "d15.data_CTACCTGTCCTAAGTG-1", "d15.data_CCGTGAGTCCGAAATC-1", "d15.data_GCTGCAGCAACCGTAT-1", "d15.data_ACTTATCCACAAGTTC-1", "d15.data_CCTGCATAGCAAACAT-1", "d15.data_AATGACCAGGCATCTT-1", "d15.data_ACTTAGGAGCCTTCTC-1", "d15.data_GCCCGAATCCACCTGT-1", "d15.data_GTCTAGACACATACTG-1", "d15.data_TCTTAGTCAGCACACC-1", "d15.data_GTCTACCCAAGCCATT-1", "d15.data_CGAGGCTCACCCTAAA-1", "d15.data_CGCGTGAAGTGCTAGG-1", "d15.data_CATGAGTAGCCAACCC-1", "d15.data_TCCTGCATCGCGTGCA-1", "d15.data_GTGCACGGTTACTCAG-1", "d15.data_ATGGATCCATACATCG-1", "d15.data_CCTCAGTCAAACCACT-1", "d15.data_CGCCATTCAGCAGATG-1", "d15.data_TTACCGCTCCATCTAT-1", "d15.data_CATACCCTCGGTCTAA-1", "d15.data_AATTCCTTCCACAGCG-1", "d15.data_TCCTTTCGTCAGACGA-1", "d15.data_ATTCCTACAGGCATTT-1", "d15.data_ATTGTTCCAACCAACT-1", "d15.data_GAGACCCCAACACTAC-1", "d15.data_CTCTCAGTCATTCCTA-1", "d15.data_AGTTAGCTCGCTCATC-1", "d15.data_CTTCCTTAGACGCCAA-1", "d15.data_AATGACCAGCCTCAAT-1", "d15.data_CTCCACAGTACCGGCT-1", "d15.data_CTAACCCAGCTGTACT-1", "d15.data_GAGTTGTCAATACAGA-1", "d15.data_GCAGGCTTCCCATGGG-1", "d15.data_TTACCGCCACAATGCT-1", "d15.data_TGCCGAGGTGGACTGA-1", "d15.data_ATTCCATGTCCTCATC-1", "d15.data_GCATCTCGTGGTCCGT-1", "d15.data_CATTGAGCAGCACGAA-1", "d15.data_CATGAGTTCTTAGCAG-1", "d15.data_CCCGGAAAGCTCCACG-1", "d15.data_GGAGGATCAAGGCGTA-1", "d15.data_CGTAATGTCCTTCAGC-1", "d15.data_CATACCCTCACACCGG-1", "d15.data_GATCATGCAATCTCTT-1", "d15.data_TGGGAGATCAGCGCAC-1", "d15.data_AGTGACTCATGAAAGT-1", "d15.data_GAGACCCTCTTGGATG-1", "d15.data_CATCCGTGTGGCCCAT-1", "d15.data_CCAAGCGAGGATACCG-1", "d15.data_CTGAATGCACCCTAGG-1", "d15.data_AACAAAGGTCATCCCT-1", "d15.data_TGTTACTCACACCTGG-1", "d15.data_CGTGAATTCCCTGGTT-1", "d15.data_ACATTTCAGTAGTCTC-1", "d15.data_CCTACGTCACGTACTA-1", "d15.data_GCCCAGACAGCTTTCC-1", "d15.data_TTAATCCTCTAGGCAT-1", "d15.data_TACACCCGTCGGAACA-1", "d15.data_TAAGCCAAGCGAATGC-1", "d15.data_GACTCAACACGGCTAC-1", "d15.data_CTGTGGGCAACCGATT-1", "d15.data_TCCTCCCGTATTGACC-1", "d15.data_GGTCACGGTATCCTTT-1", "d15.data_TCAAGACGTGAATAAC-1", "d15.data_ATGAGGGAGATGACCG-1", "d15.data_TCAGTCCGTTCTCGCT-1", "d15.data_CTCAACCGTCACTCAA-1", "d15.data_CATACCCCACCGCTGA-1", "d15.data_ATGTCTTGTAGTGATA-1", "d15.data_CATCAAGAGATACAGT-1", "d15.data_GTCATGAGTCGCCTAG-1", "d15.data_ACACAGTTCGATAACC-1", "d15.data_AGAACCTCAGAGGCAT-1", "d15.data_GCTACCTGTGGAGAAA-1", "d15.data_TTCCTTCTCAGTCAGT-1", "d15.data_TGGGAGAAGTCCCAAT-1", "d15.data_CGGAATTCACATGGTT-1", "d15.data_TCAGGGCAGGTTTGAA-1", "d15.data_GGTCACGTCTAGAACC-1", "d15.data_CCTGCATGTTACGCCG-1", "d15.data_GGTCACGAGGGCAGTT-1", "d15.data_CATCGGGCAAACAGGC-1", "d15.data_GCCTGTTTCGGATAAA-1", "d15.data_TGGGATTCAGTCACGC-1", "d15.data_CAACGGCCAACTGAAA-1", "d15.data_AGACAAAAGTCAGCCC-1", "d15.data_TCATGCCTCATAGCAC-1", "d15.data_CCATCACCACATGAAA-1", "d15.data_TCGTAGAGTCCAAAGG-1", "d15.data_CTTCCGACACCGGCTA-1", "d15.data_CTCCGATGTTGCAACT-1", "d15.data_AGACTCAGTCAACCAT-1", "d15.data_ATTCATCAGCACACCC-1", "d15.data_CAGGTATCAAGAGATT-1", "d15.data_GGACGTCCACAGAGCA-1", "d15.data_GTTGAACCACTTACAG-1", "d15.data_ACGGGTCCAGCAGAAC-1", "d15.data_ATATCCTGTGCAACGA-1", "d15.data_CGAGGCTCAGTTGTTG-1", "d15.data_TTCAATCCATTCTCCG-1", "d15.data_CCTGCATTCGCCAGTG-1", "d15.data_TCAAGACAGACCAACG-1", "d15.data_GAGTGTTCATCGTTCC-1", "d15.data_TCTTAGTCACTATCGA-1", "d15.data_CGCGTGAGTATTCCTT-1", "d15.data_AGATGCTCAAGTGCAG-1", "d15.data_CAAGAGGAGAGGGTGG-1", "d15.data_CCTCCAACAAGAGTGC-1", "d15.data_GTAGAAATCGACCACG-1", "d15.data_TCGCACTTCTAGGCCG-1", "d15.data_GGGACTCTCGACACTA-1", "d15.data_GGCGTCACACGCGTCA-1", "d15.data_CTAGACACAATTGAAG-1", "d15.data_TAGATCGCACCTCGTT-1", "d15.data_GGGACCTTCTCCAATT-1", "d15.data_AGAGCCCAGGGAGAAT-1", "d15.data_TGGTTAGGTGCGGTAA-1", "d15.data_TCTATCATCATACGAC-1", "d15.data_GACTCTCCACCCATAA-1", "d15.data_ATTACTCGTTCCTTGC-1", "d15.data_GAGTTTGCAAAGGTTA-1", "d15.data_AACCTGAAGAAGTCTA-1", "d15.data_CGCAGGTAGGTCACAG-1", "d15.data_TTGCATTCAGCATTGT-1", "d15.data_ACCGTTCTCCACTGAA-1", "d15.data_CCAATTTGTATCCCTC-1", "d15.data_AGCCAGCCACTATCCC-1", "d15.data_CATCGCTGTGAATTAG-1", "d15.data_CCTTCAGGTCTTGCTC-1", "d15.data_CATCCCACAGGCTATT-1", "d15.data_TGCTTGCGTTAAGCAA-1", "d15.data_TCCTTTCCACATTACG-1", "d15.data_CATTTCACAGGCGAAT-1", "d15.data_GAATAGAGTCGAGTGA-1", "d15.data_CAGCAGCCATCAGTGT-1", "d15.data_CAGCACGGTGGACCTC-1", "d15.data_TGGGTTAAGTGATTCC-1", "d15.data_CGCATGGTCACTGTTT-1", "d15.data_CCGTTCAGTACAGTCT-1", "d15.data_TGAATCGAGCAAGCCA-1", "d15.data_GCATCGGCAACACGTT-1", "d15.data_TCGGGCAAGCAAATCA-1", "d15.data_GTCCACTTCAGCCTTC-1", "d15.data_TAACGACTCACCGGGT-1", "d15.data_TGATCTTAGGCCACTC-1", "d15.data_TACAACGCAATTGCCA-1", "d15.data_TCAGGTACAAGGCGTA-1", "d15.data_GTAGTACCACCGTGCA-1", "d15.data_TTAGGCATCAAGAAAC-1", "d15.data_CATTCATAGCACTCTA-1", "d15.data_CTTCAATCAGAGATGC-1", "d15.data_TACCGGGGTGTGACCC-1", "d15.data_ACCTACCAGCATCTTG-1", "d15.data_TCCTGCAGTCAAAGTA-1", "d15.data_ATCTCTACACTCTAGA-1", "d15.data_CGGAACCAGGGAGTGG-1", "d15.data_AGATGAATCACTCACC-1", "d15.data_TGAGGGAAGAAGCCAC-1", "d15.data_ATCGCCTGTGTCTTCC-1", "d15.data_TTTAGTCTCCATCTAT-1", "d15.data_GGAAGTGCACTTCCTG-1", "d15.data_CTAACTTGTCGGTACC-1", "d15.data_GTGAGCCTCGCATGAT-1", "d15.data_CAAGGGACACATATGC-1", "d15.data_GATTTCTCACAGTCGC-1", "d15.data_TGCATGAGTCCACACG-1", "d15.data_TGCATCCGTACTAGCT-1", "d15.data_GACAGCCCACTCCCTA-1", "d15.data_TTACGTTTCCAGCAAT-1", "d15.data_TGCTTCGCACTGCATA-1", "d15.data_GGTGAAGCAGCGTTTA-1", "d15.data_AGGTCTATCGGCACTG-1", "d15.data_CACGGGTTCAACCTTT-1", "d15.data_CACTGTCGTTCGTTCC-1", "d15.data_ACAGCCGAGAAATTGC-1", "d15.data_CGGAACCCATCCGAAT-1", "d15.data_CCCTCAAAGACGACTG-1", "d15.data_GAGACCCTCACCTCGT-1", "d15.data_TAGCACAGTTCCGCGA-1", "d15.data_CGTTAGAAGTTCACTG-1", "d15.data_GTACAGTAGCCAAGTG-1", "d15.data_ATCCATTGTCACTCGG-1", "d15.data_CACTGTCCACACGTGC-1", "d15.data_CGTGATACACCAAATC-1", "d15.data_GTTAGACCATACCGTA-1", "d15.data_ATCACAGAGACTCGAG-1", "d15.data_ATCCCTGGTGACAGCA-1", "d15.data_TTTACGTCAATCAAGA-1", "d15.data_ACCATTTTCTGACAGT-1", "d15.data_CAGATCATCCCTGTTG-1", "d15.data_TCTATCAAGGTTCAGG-1", "d15.data_AAACGCTAGACGAGCT-1", "d15.data_CTCCTCCTCGATGCAT-1", "d15.data_CGAGTGCAGATCGACG-1", "d15.data_GGTGATTGTACTGGGA-1", "d15.data_AAGAACAAGACTACCT-1", "d15.data_CGACAGCAGCGCCCAT-1", "d15.data_CAAAGAAGTAACATAG-1", "d15.data_CACGTTCTCGTAATGC-1", "d15.data_ACACGCGCATCTATCT-1", "d15.data_TACATTCTCACCTACC-1", "d15.data_CCAATGATCCGACGGT-1", "d15.data_AACCCAACATCGTCCT-1", "d15.data_TTCAATCCAGGTCAGA-1", "d15.data_CTGCCATCAGCATTGT-1", "d15.data_TCATATCCACAACGTT-1", "d15.data_ATCCATTCAAAGCACG-1", "d15.data_CTCCATGCAATCGCCG-1", "d15.data_ATGAAAGTCCTCACTG-1", "d15.data_GTCATGACAGCGGTTC-1", "d15.data_CCGTAGGCAGCAGACA-1", "d15.data_AAAGGATCACACGCCA-1", "d15.data_TGGTACAGTGAACTAA-1", "d15.data_TTGGGATCATGCGGTC-1", "d15.data_TCATATCCAGCAAGAC-1", "d15.data_CCGTTCACAGTCTCTC-1", "d15.data_ATGCCTCCAATCGCAT-1", "d15.data_GGGTGTCTCGTAACTG-1", "d15.data_CTACATTTCTTCGGAA-1", "d15.data_TATATCCTCGAACACT-1", "d15.data_TACACCCAGCTATCTG-1", "d15.data_CACGAATTCACGACTA-1", "d15.data_AAACGCTTCTGCAGCG-1", "d15.data_AGCTCAACACAAAGCG-1", "d15.data_AACAACCTCTACCCAC-1", "d15.data_ACCAAACAGTCATGCT-1", "d15.data_AGTACCACACAATCTG-1", "d15.data_TACGTCCGTAACGGTG-1", "d15.data_AAGAACAGTGCTGCAC-1", "d15.data_CGAATTGCAAGAGAGA-1", "d15.data_TAAGCGTAGCCACCGT-1", "d15.data_CAGCCAGCAATACCTG-1", "d15.data_AAACCCATCGATCCCT-1", "d15.data_ATTCAGGCAGAGTTCT-1", "d15.data_TCTCACGTCCCTTCCC-1", "d15.data_CTGCATCTCCTACGAA-1", "d15.data_CAACAGTGTGATTAGA-1", "d15.data_CAATTTCTCTGTCCGT-1", "d15.data_TAATCTCCAATGCTCA-1", "d15.data_GGGACAATCCCGTGAG-1", "d15.data_ACTTATCAGAGCTGAC-1", "d15.data_TGGTGATGTAGACTGG-1", "d15.data_TCATGCCCACCTGCTT-1", "d15.data_CGTGCTTAGTTTCGAC-1", "d15.data_AAATGGAGTTCCGTTC-1", "d15.data_ATGGGAGTCTGGACTA-1", "d15.data_CTCCAACGTAAGTTAG-1", "d15.data_GATTCGATCCCGAAAT-1", "d15.data_ACGTAGTCACCGTGGT-1", "d15.data_TCCTGCATCCTCATAT-1", "d15.data_AGTTCCCCAGGCACTC-1", "d15.data_TCAATTCTCATCTACT-1", "d15.data_ACAGCCGAGCAATTCC-1", "d15.data_TTCAGGACAGTCAGCC-1", "d15.data_AGACCATTCAGCTGAT-1", "d15.data_TCCTGCACACCGTACG-1", "d15.data_ACGGTCGAGTCACAGG-1", "d15.data_GATGGAGCAATACCTG-1", "d15.data_TGACGCGAGAATTCAG-1", "d15.data_TTACCGCTCTCCTGCA-1", "d15.data_GGTCACGCAAGTGGCA-1", "d15.data_TGTTACTAGCGCCTCA-1", "d15.data_GAGGCCTGTCGCATTA-1", "d15.data_AACCTTTTCGGCTGAC-1", "d15.data_GGTCACGTCACATACG-1", "d15.data_TCCTAATTCTGGCCAG-1", "d15.data_AACCACAGTAGTCCTA-1", "d15.data_AATTTCCTCGTTCCTG-1", "d15.data_TGGAACTCAAACCATC-1", "d15.data_GGTGTCGCACGGATCC-1", "d15.data_GAAGGGTTCAGCACCG-1", "d15.data_ATCGTGACACTACGGC-1", "d15.data_CTGCGAGTCGGATTAC-1", "d15.data_TCTCAGCTCCGTCACT-1", "d15.data_TACCGAAAGCGCCTAC-1", "d15.data_TCAGTGAGTCACTTAG-1", "d15.data_AACAACCAGACAGCTG-1", "d15.data_TACCCACCATTCAGCA-1", "d15.data_TGGGAAGTCTAACGGT-1", "d15.data_TCTAACTTCTGACCCT-1", "d15.data_GCCAGTGCAGAATGTA-1", "d15.data_GAGGGATAGCGAAACC-1", "d15.data_AGGTAGGGTCGGCTAC-1", "d15.data_CGCCATTTCTCACTCG-1", "d15.data_AGTCATGAGTAACGTA-1", "d15.data_TCACGCTTCACTGTCC-1", "d15.data_TTAGGGTCATCGTTCC-1", "d15.data_ACATCGACACAAGCCC-1", "d15.data_CCGGGTATCATACGAC-1", "d15.data_TGCTCCACAAACTAGA-1", "d15.data_AACAAGACAACAACAA-1", "d15.data_TCAAGACTCAAACCTG-1", "d15.data_TTCAGGAAGTTACGTC-1", "d15.data_GTGTCCTAGGGAACAA-1", "d15.data_GTAGTACAGGAATTAC-1", "d15.data_GGGAGTACATGGCGCT-1", "d15.data_CATGAGTTCCTTCACG-1", "d15.data_TTCCTAAGTTGTCAGT-1", "d15.data_TGGAACTGTTTGCAGT-1", "d15.data_TTCACGCGTTCGATTG-1", "d15.data_CAGATTGCACGGTGTC-1", "d15.data_CAACCAAAGTGACCTT-1", "d15.data_TTTATGCTCCAACCAA-1", "d15.data_TGATCAGTCCTACGGG-1", "d15.data_AGAAGTATCTGCGGCA-1", "d15.data_TCTACATAGGCCTAGA-1", "d15.data_GATGAGGGTAACATAG-1", "d15.data_CCTACGTTCTAAACGC-1", "d15.data_CATAGACTCAATCAGC-1", "d15.data_ACCATTTTCCTTTGAT-1", "d15.data_ACGATCATCGTTCATT-1", "d15.data_TCCATGCTCTTGGGCG-1", "d15.data_TGATTTCTCATTCCTA-1", "d15.data_CCAATGAGTTTCCAAG-1", "d15.data_TATCCTACACCGTCGA-1", "d15.data_TACGCTCGTCACCGAC-1", "d15.data_AGGGCTCGTAGCCCTG-1", "d15.data_GATCCCTTCGTGCACG-1", "d15.data_AGTTAGCAGCGGATCA-1", "d15.data_CAGATACTCGAACGCC-1", "d15.data_GTGGAAGGTACCTTCC-1", "d15.data_AACAAGAAGGTTCACT-1", "d15.data_TGTAGACGTATTTCCT-1", "d15.data_GTCTTTAGTAGCGTAG-1", "d15.data_TACAACGGTCGTTGCG-1", "d15.data_ATCTTCACATGCAGGA-1", "d15.data_TTCCTCTGTGCTGATT-1", "d15.data_TGAGCGCCAGTAACCT-1", "d15.data_CACGTTCGTGCTTATG-1", "d15.data_GGGTATTGTGTCGATT-1", "d15.data_ATCCCTGGTATCCCTC-1", "d15.data_AATGCCAGTATTGACC-1", "d15.data_CGTTAGAAGTCGCTAT-1", "d15.data_ACCCTCAGTTACCGTA-1", "d15.data_GTGTAACAGATGAAGG-1", "d15.data_GAAGTAAAGTATAGAC-1", "d15.data_TGATGCAGTCGGTGAA-1", "d15.data_TAGGGTTTCTCGCAGG-1", "d15.data_TTCTTGATCGAGTCCG-1", "d15.data_GGTTGTAGTCTGATAC-1", "d15.data_CCGATCTCACATATCG-1", "d15.data_CATACTTAGTAGTCAA-1", "d15.data_TTTACGTAGAAGTCTA-1", "d15.data_GATCAGTTCTTTGCAT-1", "d15.data_CTCAGTCGTTGCGAAG-1", "d15.data_ACTTTGTGTAACGCGA-1", "d15.data_TCCATGCAGAAGCTGC-1", "d15.data_CCCGAAGCACCACATA-1", "d15.data_TCAAGACAGCCTGACC-1", "d15.data_GTCTAGAGTGCATGAG-1", "d15.data_CATTTCATCCAAACCA-1", "d15.data_CATTCTAAGAAGCGGG-1", "d15.data_AGACCATCATCTCCCA-1", "d15.data_TGTGAGTAGTATGGCG-1", "d15.data_AAGTTCGAGCTCATAC-1", "d15.data_TTTGTTGAGGGCAGAG-1", "d15.data_CGAAGGATCGTCTCAC-1", "d15.data_CCAATTTGTAAGCAAT-1", "d15.data_TTACCATCATTGCAAC-1", "d15.data_CGAAGGACATCTGGGC-1", "d15.data_TGGAGAGAGCCACAAG-1", "d15.data_GAGTTGTGTCACCGCA-1", "d15.data_AAGCGAGGTACCTAAC-1", "d15.data_GGGTCACGTATGTCAC-1", "d15.data_GAGTGTTTCTCTCGAC-1", "d15.data_CTTACCGCAGACTCTA-1", "d15.data_CAGCACGGTCCTACGG-1", "d15.data_CTACGGGAGACATAGT-1", "d15.data_TTTCATGGTAGAAACT-1", "d15.data_ATTCATCCATACTTTC-1", "d15.data_CATTGTTCACGTGAGA-1", "d15.data_TCTATCAAGCGTGAGT-1", "d15.data_TCATGTTAGTCTTCCC-1", "d15.data_CTAGGTATCTGCTTTA-1", "d15.data_AGGGTGAGTAGGCTGA-1", "d15.data_ACTCTCGTCCGACATA-1", "d15.data_TCTACATGTCCTTAAG-1", "d15.data_GTGGAAGGTTTCCAAG-1", "d15.data_TAGGTTGTCCGATAAC-1", "d15.data_AGCTCAAGTTACCTGA-1", "d15.data_CATCGTCCATCGAACT-1", "d15.data_GCTCAAAAGCCGGATA-1", "d15.data_AGTGCCGCACCTCTAC-1", "d15.data_GAATAGAAGTCCTGTA-1", "d15.data_TCCATCGTCAGGACGA-1", "d15.data_AGGTCATCAGCAGGAT-1", "d15.data_TCCTCGATCGACCCAG-1", "d15.data_TAACTTCGTCCTGAAT-1", "d15.data_ACCATTTCATACTTTC-1", "d15.data_ATGTCCCAGATTTGCC-1", "d15.data_GTTGTAGCACACAGCC-1", "d15.data_CACATGACATCCAACA-1", "d15.data_CGAATTGTCCACACCT-1", "d15.data_TGGAGAGAGATGCAGC-1", "d15.data_ATCATTCTCGGCCAAC-1", "d15.data_TGTTCCGGTCTACGTA-1", "d15.data_TCACGCTTCACACCCT-1", "d15.data_TGATCAGAGGTCCGAA-1", "d15.data_AATGAAGCAATGTTGC-1", "d15.data_CTGCATCCAGATCCAT-1", "d15.data_GCATCTCGTTCATCTT-1", "d15.data_CATGCGGGTATGGGAC-1", "d15.data_TGACCCTAGCAGGCTA-1", "d15.data_TCAATTCGTATTGACC-1", "d15.data_TCTTTGAGTATAGGGC-1", "d15.data_GTAGAAAAGCCGATTT-1", "d15.data_TCAGCAACAGGATTCT-1", "d15.data_TCCATGCAGTTCCGGC-1", "d15.data_CCCTCAATCGAACTCA-1", "d15.data_ACAGCCGGTGTCCGTG-1", "d15.data_GGATGTTAGAAACTGT-1", "d15.data_TAAGTCGAGTGGTTCT-1", "d15.data_CTCAAGAAGCACACAG-1", "d15.data_GGGATCCAGGACTATA-1", "d15.data_CAGCAATCAGGCTACC-1", "d15.data_AACCTTTCACAGTGAG-1", "d15.data_TACCTCGTCTGAGCAT-1", "d15.data_GTGGGAACATACAGCT-1", "d15.data_TGTGAGTTCGAACGCC-1", "d15.data_TATCAGGCATTCTGTT-1", "d15.data_TCACACCTCAACTGGT-1", "d15.data_TATCCTACATCCGCGA-1", "d15.data_TGCACGGGTTTCGTAG-1", "d15.data_CACGTTCCAGACAATA-1", "d15.data_AAGCCATAGCTTTCTT-1", "d15.data_ACTCCCATCATGTCAG-1", "d15.data_GCACGTGCATCCTTGC-1", "d15.data_TGAGGTTCAGCTAACT-1", 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"title": { "text": "Waddington potential, gene = NKX1-2" }, "width": 1000 } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gene_name = \"NKX1-2\"\n", "scegot.plot_waddington_potential(\n", " Wpotential,\n", " mode=\"pca\",\n", " gene_name=gene_name,\n", " # save=True,\n", " # save_path=\"./waddington_potential_pca_expression.html\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "UMAP ver." ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "%{hovertext}

UMAP1=%{x}
UMAP2=%{y}
Waddington Potential=%{z}
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"iM.data_TACACCCCAGTATTCG-1", "iM.data_CGATGGCTCATGAAAG-1", "iM.data_GTCGTAATCCTGATAG-1", "iM.data_TCTACATAGATACTGA-1", "iM.data_GTGCAGCAGGAAAGTG-1", "iM.data_CGAGTTAAGTGCCCGT-1", "iM.data_GGTGTCGTCGGAGTGA-1", "iM.data_CGCGTGATCCGGTAAT-1", "iM.data_GGGACAAAGAGTCAAT-1", "iM.data_GTGGAGATCAATCCAG-1", "iM.data_AGCGTATTCCTACCGT-1", "iM.data_AGTAGTCGTGTTGAGG-1", "iM.data_AGGAGGTTCGGCTGTG-1", "iM.data_CGGGACTCAAAGGCTG-1", "iM.data_ATGGAGGTCCGTGACG-1", "iM.data_GGTCTGGGTAATGATG-1", "iM.data_TAACTTCAGGTCGTGA-1", "iM.data_CACACAAGTAAGGAGA-1", "iM.data_GTCGCGAGTCGTGTTA-1", "iM.data_GGATGTTAGTAAGAGG-1", "iM.data_CTACATTTCTGCCCTA-1", "iM.data_ATCATTCTCTAGGAAA-1", "iM.data_CCGATCTAGAAGTCAT-1", "iM.data_CGTGAATGTACCATAC-1", "iM.data_CTTCTAAGTTCTTGTT-1", "iM.data_AGGGTTTGTGACACGA-1", "iM.data_TGTTGAGCAGACACAG-1", "iM.data_CGCCAGAGTTGAAGTA-1", "iM.data_TCGGGTGTCCAGCTCT-1", "iM.data_CGTGTCTCAGGTGGAT-1", "iM.data_ACTTATCGTCGAGCTC-1", "iM.data_GTTCCGTCAATCGTCA-1", "iM.data_TCCCACAGTGGATCGA-1", "iM.data_ATGGGTTAGCTGAAGC-1", "iM.data_AGATGAAAGCTAATCC-1", "iM.data_AAAGAACTCCTATTGT-1", "iM.data_TTCCACGGTGCGTCGT-1", "iM.data_TCATTCAAGAGGCGTT-1", "iM.data_AGGACTTCAAGAGTGC-1", "iM.data_CAGATTGTCTTCGACC-1", "iM.data_TGTTGAGGTCAAAGTA-1", "iM.data_ACTGCAATCGGTCGAC-1", "iM.data_AAAGTCCAGACGTCGA-1", "iM.data_CTTCTAAAGATTGTGA-1", "iM.data_TAGGAGGAGGTGCTTT-1", "iM.data_CTACAGAGTCGGTGTC-1", "iM.data_TCCACGTAGGGTTAAT-1", "iM.data_AAGTACCAGTAACCGG-1", "iM.data_GCGTTTCAGTACTCGT-1", "iM.data_ACAAGCTGTGTGCCTG-1", "iM.data_TGCACGGAGCGTGTCC-1", "iM.data_CTGTCGTGTTGTTTGG-1", "iM.data_GTCAAGTAGAGAGAAC-1", "iM.data_CTACAGAGTGGTTTGT-1", "iM.data_GCGTTTCGTACTGTTG-1", "iM.data_ATTACTCCAGTGGTGA-1", "iM.data_GTATTGGAGTCACAGG-1", "iM.data_TTCATGTTCTGATGGT-1", "iM.data_CCGGACACAGCTTCGG-1", "iM.data_CAAGAGGCAAAGAGTT-1", "iM.data_CTGCGAGCATGGGATG-1", "iM.data_CAGCGTGAGTGTAGAT-1", "iM.data_CGGGTGTAGTTCCGGC-1", "iM.data_GTCGTAAGTACTCGTA-1", "iM.data_GTTCATTCACGCGTGT-1", "iM.data_TTGGGATCAAATGAGT-1", "iM.data_CCGTTCATCGCTAGCG-1", "iM.data_TGTAAGCGTCGTTGCG-1", "iM.data_TACGGGCTCTGAGAAA-1", "iM.data_CATCGGGTCACGTCCT-1", "iM.data_CAGCAATAGCTCCATA-1", "iM.data_TGAATCGGTAATGTGA-1", "iM.data_AAGACAAAGCGACTTT-1", "iM.data_TAAGCGTGTGGTCTAT-1", "iM.data_TTCATTGTCTATACGG-1", "iM.data_ATCATTCAGGAGATAG-1", "iM.data_TTACTGTTCCGATAGT-1", "iM.data_GTGGCGTGTTCTTGCC-1", "iM.data_CAGCGTGTCTCTCAAT-1", "iM.data_AGGGTTTAGTCAAGCG-1", "iM.data_TATTGCTGTCGCATGC-1", "iM.data_CTCTCAGAGTTGGACG-1", "iM.data_CTTGATTCAAATGGAT-1", "iM.data_GTTGTGATCCGAGATT-1", "iM.data_GCGATCGGTCGTGCCA-1", "iM.data_GGAGAACAGGTGATAT-1", "iM.data_GTAATGCGTGATACAA-1", "iM.data_CGGGCATTCATTTGTC-1", "iM.data_GCCGTGATCTACGGGC-1", "iM.data_GAATAGAGTGTCCATA-1", "iM.data_AATCACGTCTCGCAGG-1", "iM.data_CTTCAATTCAGGACAG-1", "iM.data_CTCCGATGTGGGCTCT-1", "iM.data_AGCGTCGAGATGTTAG-1", "iM.data_TTGCGTCGTACCACGC-1", "iM.data_ATCATTCGTGTGATGG-1", "iM.data_TGCGATAGTTGTGTTG-1", "iM.data_GAAGCCCCAAGGTACG-1", "iM.data_CGGAACCAGATGGTAT-1", "iM.data_TAACCAGCAAGGCGTA-1", "iM.data_AATCACGGTAATTAGG-1", "iM.data_AATAGAGTCCTTCAGC-1", "iM.data_ACCTGTCGTGCCTATA-1", "iM.data_TATTGGGGTGGGATTG-1", "iM.data_TTGCGTCTCTGCTTAT-1", "iM.data_GTCGTAATCGAGGCAA-1", "iM.data_TGTAACGAGTGGTTGG-1", "iM.data_TGTGCGGTCAGAGCAG-1", "iM.data_CTGGACGTCAGCTTGA-1", "iM.data_TCCGTGTCACGAAAGC-1", "iM.data_AAGATAGAGTCTGCAT-1", "iM.data_TGGAGGAGTTTGTGGT-1", "iM.data_GGAGATGGTCTTCATT-1", "iM.data_TTCGGTCCAGAATCGG-1", "iM.data_CGGAATTCAGCGTTTA-1", "iM.data_GTCGTTCGTGGTCAAG-1", "iM.data_TAGATCGTCTCACGAA-1", "iM.data_GTGTTCCAGCTACAAA-1", "iM.data_TTGGGCGTCTGTTGGA-1", "iM.data_GTGTGATAGCGACATG-1", "iM.data_GTGCTGGAGCTGAGTG-1", "iM.data_GTCGAATAGATCGCTT-1", "iM.data_TGAGGAGAGCCTGCCA-1", "iM.data_GGGTTATTCTATACGG-1", "iM.data_AGAACCTTCGGAGATG-1", "iM.data_GTTACAGAGTTGGACG-1", "iM.data_GAATCGTGTCCCAAAT-1", "iM.data_ATCACTTAGAGAATCT-1", "iM.data_CTCCCTCCAACGGGTA-1", "iM.data_TGCTTGCGTCATGGCC-1", "iM.data_CGCATGGCAACCGCTG-1", "iM.data_TAACTTCGTAGCGATG-1", "iM.data_CTCATCGGTTGTGGCC-1", "iM.data_TCGTGCTTCCTGTAGA-1", "iM.data_TCAAGACGTTATGTGC-1", "iM.data_AAGATAGAGGTGCTTT-1", "iM.data_GCGTGCAGTGGTTTGT-1", "iM.data_TCACTATAGAATCGCG-1", "iM.data_TGTTTGTAGAGTTCGG-1", "iM.data_TGCACGGTCTAAACGC-1", "iM.data_ATGGGAGAGTCCTGCG-1", "iM.data_GCATGATAGGCTAACG-1", "iM.data_CTGAGGCGTAATGCGG-1", "iM.data_CTCTCAGAGTAGGTTA-1", "iM.data_AGAAGCGGTATCGGTT-1", "iM.data_CCTATCGCATGAGGGT-1", "iM.data_CTGCATCGTTGGAGAC-1", "iM.data_CACCGTTGTAAGGTCG-1", "iM.data_TCAGGTAAGTAAATGC-1", "iM.data_ATCTCTAAGTGTGTTC-1", "iM.data_CGAGTTACACATCCCT-1", "iM.data_GTTGTAGGTTATGTGC-1", "iM.data_TCAAGACTCTACTGAG-1", "iM.data_TTTAGTCTCTGTGCAA-1", "iM.data_CGTAGTAAGCCACCGT-1", "iM.data_TCAAGCATCCATAGAC-1", "iM.data_GGAGAACCATACCAGT-1", "iM.data_GTTCTATCAATTGAAG-1", "iM.data_GCGATCGGTGAACCGA-1", "iM.data_CATCCGTAGAGCCGAT-1", "iM.data_CGTTCTGTCGTGTGGC-1", "iM.data_CGATGGCCACCGAATT-1", "iM.data_CACACAAAGTATGAAC-1", "iM.data_GGGAAGTGTTGTGGAG-1", "iM.data_GTGTAACCATTGAAGA-1", "iM.data_CCTTCAGAGTCGAGGT-1", "iM.data_ATTTCACCATTCCTAT-1", "iM.data_CACTTCGAGAACGTGC-1", "iM.data_ACGTAGTGTTCCACGG-1", "iM.data_TTTCAGTGTCTTCAAG-1", "iM.data_GAATAGACAGCTCTGG-1", "iM.data_AAAGTGATCCGTGTAA-1", "iM.data_ATCGGATTCCTTTAGT-1", "iM.data_ACTATTCGTTAATCGC-1", "iM.data_AAGACAAAGTCATCGT-1", "iM.data_GATGGAGCAGTAGAGC-1", "iM.data_CCTCCAAGTGTATACC-1", "iM.data_AGGGCTCAGACAACAT-1", "iM.data_ACTATCTAGGTTAAAC-1", "iM.data_TCATGGAAGCCGTCGT-1", "iM.data_TCTGGCTAGGAGGGTG-1", "iM.data_CGGGTGTGTCACAGTT-1", "iM.data_ATCGTCCCAGTCCGTG-1", "iM.data_GCCATGGAGGATACAT-1", "iM.data_CCTGCATCATTCTGTT-1", "iM.data_AGATCGTAGGGTACGT-1", "iM.data_TGTTCCGAGTACGAGC-1", "iM.data_CCACGAGGTATACGGG-1", "iM.data_ATATCCTGTCGTGGTC-1", "iM.data_GAGTTGTAGGCACCAA-1", "iM.data_CGATGCGGTCTGGTTA-1", "iM.data_TCGTAGATCCATCCGT-1", "iM.data_ACCTGAACACGTGAGA-1", "iM.data_TATCTTGAGCCTTCTC-1", "iM.data_AGGAAATTCCCAGCGA-1", "iM.data_TCGGTCTTCATTACTC-1", "iM.data_AACACACGTGATAGAT-1", "iM.data_TGTCCCAGTGGTCAAG-1", "iM.data_ATTACCTTCCATACAG-1", "iM.data_AGGTTGTGTGAACGGT-1", "iM.data_TCACACCAGAAGGCTC-1", "iM.data_CGTCAAACATATTCGG-1", "iM.data_ACAAAGAAGCCGAACA-1", "iM.data_CAATCGAAGGCATCGA-1", "iM.data_GCATCGGGTGGATGAC-1", "iM.data_GCATTAGAGATACATG-1", "iM.data_GGGTCTGGTCTGCATA-1", "iM.data_CACAGGCGTCGAATGG-1", "iM.data_TATCGCCAGCGTCGAA-1", "iM.data_GTCTACCCAACGACAG-1", "iM.data_TCAAGCAAGTGGTTCT-1", "iM.data_GCGATCGAGGTGATCG-1", "iM.data_TCGATTTAGAAGGTAG-1", "iM.data_GGGTGTCGTGGAACCA-1", "iM.data_GGGAGTATCCTTTAGT-1", "iM.data_GTTCGCTGTAACGTTC-1", "iM.data_ACGGGTCGTGCATACT-1", "iM.data_GGTGATTAGAAGTCTA-1", "iM.data_CAAAGAAGTCATAAAG-1", "iM.data_TACCTCGGTGTCCAAT-1", "iM.data_GTGGAGAGTCGTGATT-1", "iM.data_TAGGTTGAGCTGTACT-1", "iM.data_TGACAGTCATACAGCT-1", "iM.data_TCCGGGATCAAATAGG-1", "iM.data_ACTCCCAGTACGTGAG-1", "iM.data_TCGCTTGCACAGCCTG-1", "iM.data_TTTCACAAGATAGTGT-1", "iM.data_GAGTTGTGTTCCGCTT-1", "iM.data_CATTGAGGTAACGGTG-1", "iM.data_AGAGCAGGTCTGGTTA-1", "iM.data_TCTCAGCAGGCCTTGC-1", "iM.data_GAATCGTTCATTACTC-1", "iM.data_GTCGCGACACAGCCTG-1", "iM.data_TTTCACAAGCCGCTTG-1", "iM.data_TCACACCAGGTCGTAG-1", "iM.data_ACCGTTCTCGTGTTCC-1", "iM.data_GATTCTTCACCTGTCT-1", "iM.data_CAACGGCCAGCGTTGC-1", "iM.data_GTGGAAGGTAGCCAGA-1", "iM.data_TTCCAATTCGGCACTG-1", "iM.data_AGGGCTCTCTGAGGCC-1", "iM.data_AGAGAGCGTGGATACG-1", "iM.data_ATCGTAGGTCCATAGT-1", "iM.data_GCCAACGTCGGTGCAC-1", "iM.data_AGAAGCGTCCGCACGA-1", "iM.data_CATTCATGTTAGGGAC-1", "iM.data_CATAAGCCAGGTGTTT-1", "iM.data_ATCGTGACACTCAGAT-1", "iM.data_TCTGTCGGTAATACCC-1", "iM.data_CTACCTGTCAGTGTGT-1", "iM.data_AGGAGGTCAGAGGTAC-1", "iM.data_CCTCCAAAGTCGGCCT-1", "iM.data_TTGTTCAGTCGAGTTT-1", "iM.data_AGGTTGTGTGTTACTG-1", "iM.data_AGATCGTGTGTCACAT-1", "iM.data_TCCGTGTGTGACTAAA-1", "iM.data_AGGAAATTCCCTGGTT-1", "iM.data_TCGAAGTAGAGAACCC-1", "iM.data_TCGTGGGCAGGTGGAT-1", "iM.data_GGAGGTAAGTGTTGTC-1", "iM.data_TCGCAGGTCGCTCCTA-1", "iM.data_AAGTGAAAGATGACCG-1", "iM.data_CGTAAGTGTAACTGCT-1", "iM.data_CGTGAATTCCACTGGG-1", "iM.data_AGGGTGAGTGTCCACG-1", "iM.data_TCAGGGCAGGCCATAG-1", "iM.data_TTTCCTCTCTCATTTG-1", "iM.data_GACTTCCCAGTCCGTG-1", "iM.data_TCTGCCATCACAAGAA-1", "iM.data_TTACCATGTCAGTCCG-1", "iM.data_ATGGAGGTCAATGTCG-1", "iM.data_TGTAACGAGGATATGT-1", "iM.data_TCTTTGACAAGAGTGC-1", "iM.data_GCAACATGTGCCGTTG-1", "iM.data_TGTTCATTCAGTGCGC-1", "iM.data_GCTACCTGTTAAGGAT-1", "iM.data_TTTAGTCGTGATAGTA-1", "iM.data_TGATGCAGTTCATCGA-1", "iM.data_ATACCGAGTATCGTAC-1", "iM.data_TCATATCGTTTGTGGT-1", "iM.data_GTGGAGAGTAGTTACC-1", "iM.data_GATAGAAAGGCTTCCG-1", "iM.data_AGACAAAAGGTAGTCG-1", "iM.data_CGGGCATAGTCTTCCC-1", "iM.data_AAGTCGTGTTTCAGAC-1", "iM.data_TTACCATAGACATGCG-1", "iM.data_AGAAGTAGTGCTCGTG-1", "iM.data_ACTTCGCCAAGAGATT-1", "iM.data_GTCACTCAGAGGTTTA-1", "iM.data_GCCAGGTAGTGCTCAT-1", "iM.data_GTTAGTGAGGGTACAC-1", "iM.data_GCGTGCAGTGAATGAT-1", "iM.data_CGTGAATTCTGACAGT-1", "iM.data_ATCCGTCGTAGTTCCA-1", "iM.data_GTTCCGTTCTAGATCG-1", "iM.data_CTCAGGGCAGTCGAGA-1", "iM.data_ATTACCTCATGACGGA-1", "iM.data_CTGGTCTTCATGGAGG-1", "iM.data_GGCACGTTCTTCGGTC-1", "iM.data_CTGTATTCACTTTAGG-1", "iM.data_GAGATGGGTGGAATGC-1", "iM.data_CATTTCAGTTCCTAAG-1", "iM.data_CTGTGGGAGAATGTTG-1", "iM.data_TCTCACGGTAGACGTG-1", "iM.data_GTGGTTATCAGTGTCA-1", "iM.data_TGAGGGAAGGCTAACG-1", "iM.data_TATCTGTTCCTCAGGG-1", "iM.data_TTATTGCAGAAGTCTA-1", "iM.data_TTGTTGTGTGTGTCGC-1", "iM.data_TGAGGGAGTTGAAGTA-1", "iM.data_TCGTGGGGTTTACTGG-1", "iM.data_CAGGGCTAGCTAAATG-1", "iM.data_ACGTAGTAGGTAAACT-1", "iM.data_TCTCACGGTGAATAAC-1", "iM.data_GGTAACTAGATGAAGG-1", "iM.data_TATACCTGTGGATTTC-1", "iM.data_AACAAAGCAAGACAAT-1", "iM.data_CATCGTCAGTCATCCA-1", "iM.data_TGTTGGAGTTGCCTAA-1", "iM.data_GACCAATAGTTGGCTT-1", "iM.data_GAGCCTGGTAGTCGTT-1", "iM.data_CCACCATCAAGAGAGA-1", "iM.data_GAGACCCTCTATCGGA-1", "iM.data_GGGTTTAGTAGCGTTT-1", "iM.data_CAGCAATGTGCAACGA-1", "iM.data_GACTCTCCAGTATACC-1", "iM.data_CCGTTCAAGTGCCCGT-1", "iM.data_GGCGTCATCCATATGG-1", "iM.data_TCATGCCTCGCAAGAG-1", "iM.data_GGGCTACAGCCGATAG-1", "iM.data_ATCACGACAACCGTGC-1", "iM.data_AGCCACGCATCAGCGC-1", "iM.data_GTCTTTATCGCTACGG-1", "iM.data_TACAACGAGTAACAGT-1", "iM.data_CATGCTCAGTTTGGCT-1", "iM.data_CCCTAACTCGACGACC-1", "iM.data_ATCCTATAGGTCGTGA-1", "iM.data_AAACGAATCGCGGTAC-1", "iM.data_TTCCGGTCATGCAGCC-1", "iM.data_TTGGTTTAGTAGAGTT-1", "iM.data_GGGAAGTTCGGAGTGA-1", "iM.data_AGATAGAAGTAGGCCA-1", "iM.data_GTTGTAGGTTGCTCAA-1", "iM.data_TAACTTCGTGCTGATT-1", "iM.data_TGACGCGTCACTACGA-1", "iM.data_GAAGGGTCACAATGAA-1", "iM.data_CTGTAGATCATTCATC-1", "iM.data_TGTGAGTAGCCGATCC-1", "iM.data_TGAGTCAGTCGGAAAC-1", "iM.data_CATACTTGTAGAAACT-1", "iM.data_CAACGGCGTTACGATC-1", "iM.data_CATCGTCGTAGTCTTG-1", "iM.data_GATAGCTCAACAGATA-1", "iM.data_TATATCCGTTTGCAGT-1", "iM.data_GGGATCCGTTGTTTGG-1", "iM.data_TATTTCGAGGTAGATT-1", "iM.data_GTGGTTAGTGGTATGG-1", "iM.data_TTGCTGCTCAATGTCG-1", "iM.data_ACGCACGCAAAGGGCT-1", "iM.data_GGGTCACAGCAGTCTT-1", "iM.data_TGCATGAAGAAACACT-1", "iM.data_CCTGCATCAACCGCTG-1", "iM.data_CTACGGGGTAAGCTCT-1", "iM.data_CCTACGTGTGTCTCCT-1", "iM.data_AGTGACTGTGACTCTA-1", "iM.data_CAGATTGTCGAGTGAG-1", "iM.data_TGAGGTTGTTAGAAGT-1", "iM.data_TGTGGCGAGAATAGTC-1", "iM.data_GTTTGGAGTAGTGATA-1", "iM.data_CAAAGAAAGCCGTTAT-1", "iM.data_GGCTTTCGTGTCATCA-1", "iM.data_CCGTGAGAGAGCATAT-1", "iM.data_GCATCTCCATAGCACT-1", "iM.data_ACTTTGTAGGTGGTTG-1", "iM.data_TCATGAGAGGCGTTAG-1", "iM.data_TTGCGTCGTCTCACAA-1", "iM.data_CGAAGGATCAGCTGAT-1", "iM.data_TACTTGTGTAACACCT-1", "iM.data_GGATGTTAGATGCTTC-1", "iM.data_GAGGGTAGTTGGTGTT-1", "iM.data_CAAGGGATCCCAAGCG-1", "iM.data_CTGAGGCGTCTGTTAG-1", "iM.data_AACTTCTCAGCTCGGT-1", "iM.data_GGCAGTCGTGGCAACA-1", "iM.data_TAGAGTCCAGCACACC-1", "iM.data_GACGTTATCGCTAGCG-1", "iM.data_CGTCAAAAGAGTTGAT-1", "iM.data_GTCGTAACATTGCTGA-1", "iM.data_GGAGGATAGATGCTAA-1", "iM.data_CTCCGATGTCGCAGTC-1", "iM.data_TTGATGGAGGCTCTAT-1", "iM.data_GATTCGAAGACACACG-1", "iM.data_TTAGGCAGTCGATTAC-1", "iM.data_TGGGCTGAGCAAGTCG-1", "iM.data_CGTAATGGTTAACAGA-1", "iM.data_ACGTCCTGTCTTGAAC-1", "iM.data_TCGGGCATCATCGTAG-1", "iM.data_CAAAGAAGTCATCCCT-1", "iM.data_ACACAGTCAGTGTGCC-1", "iM.data_TCGGTCTGTTAAGTCC-1", "iM.data_TATCAGGTCTACCCAC-1", "iM.data_TTGGGTAAGTGCTCGC-1", "iM.data_CGCAGGTCAGACACAG-1", "iM.data_ACGATCAAGTTGCGCC-1", "iM.data_GTCATTTGTACAAACA-1", "iM.data_GTTCTATCAGCTCGGT-1", "iM.data_CGTTCTGAGAGGATGA-1", "iM.data_TACTTCATCATCACAG-1", "iM.data_GAGTTACGTAAGGAGA-1", "iM.data_GTTGCGGAGGGATGTC-1", "iM.data_GTCTTTAAGGACGGAG-1", "iM.data_CTCTCAGAGCACTCGC-1", "iM.data_GTAGCTAGTCTTCGAA-1", "iM.data_AGTTAGCAGGAAAGAC-1", "iM.data_TGGTGATAGCGTATAA-1", "iM.data_GGTAGAGTCGGTCGGT-1", "iM.data_TGTTGGACATACTGTG-1", "iM.data_CTACCTGGTTTCGTAG-1", "iM.data_GGTTCTCGTGTTAACC-1", "iM.data_ATCCACCGTCTCGGGT-1", "iM.data_CACTGAATCTATTTCG-1", "iM.data_ATCGGATGTATGTCTG-1", "iM.data_TCTATACGTTGTCAGT-1", "iM.data_CACTGGGAGGCAATGC-1", "iM.data_GTCGTAAAGGTCATCT-1", "iM.data_CACCGTTTCGTGGTAT-1", "iM.data_ACCATTTGTAACTAAG-1", "iM.data_CATCCGTTCAGCGCGT-1", "iM.data_TTTCCTCAGGTCGCCT-1", "iM.data_ACCGTTCAGCGAGTCA-1", "iM.data_TAGACCAGTACTGCGC-1", "iM.data_AGTCAACTCAAGAGTA-1", "iM.data_TTAGGCAGTTCGTAAC-1", "iM.data_ATCGATGAGAAGTGTT-1", "iM.data_GATTGGTAGAACTGAT-1", "iM.data_CAGCAGCCAGTGTGGA-1", "iM.data_ATCGTCCTCATCTGTT-1", "iM.data_TGAGCATGTCATCGCG-1", "iM.data_CCGGTAGAGCCTCTTC-1", "iM.data_TATACCTAGCGGTAAC-1", "iM.data_TTGGATGGTTCAGGTT-1", "iM.data_CTAAGTGCAGGGAGAG-1", "iM.data_TTCGGTCTCACTGGGC-1", "iM.data_CAAAGAAGTGTTAACC-1", "iM.data_TTGAGTGGTAGTCGTT-1", "iM.data_CATCGGGAGATTAGTG-1", "iM.data_TGCTCGTAGATGTTGA-1", "iM.data_GTGTTCCCAGTTGTCA-1", "iM.data_TTCCTAAAGTGGAAGA-1", "iM.data_TGAGGTTGTCTGTGAT-1", "iM.data_GTCATCCCAGAGACTG-1", "iM.data_CCTTGTGGTTCGTACA-1", "iM.data_ATTGTTCCAAGCTGTT-1", "iM.data_AAGTTCGTCGGCTTGG-1", "iM.data_TGTTCATAGATTGTGA-1", "iM.data_GAGGCAAAGTGCAACG-1", "iM.data_CGGAGAACACGTTCGG-1", "iM.data_GCGATCGAGATAGTGT-1", "iM.data_GTGGGAAGTGGTTCTA-1", "iM.data_TGGATCATCAGTGCGC-1", "iM.data_GGAATGGTCTGTTGGA-1", "iM.data_ACCATTTGTGTAACGG-1", "iM.data_TATTGGGTCGCCTATC-1", "iM.data_GTTTGGAGTTGGGACA-1", "iM.data_CTGATCCAGTATAACG-1", "iM.data_TCTCTGGGTACAACGG-1", "iM.data_TTTATGCTCAAGAAAC-1", "iM.data_GTCATGACATGCGTGC-1", "iM.data_AGGAGGTCAGATCCAT-1", "iM.data_GTTGTCCAGTCGAATA-1", "iM.data_CTGTGAAGTTGGACCC-1", "iM.data_ACTTTCAAGACGCTCC-1", "iM.data_TCACATTCAAAGCGTG-1", "iM.data_CGGAACCCACCCAATA-1", "iM.data_GTTGCTCTCGACGCGT-1", "iM.data_TCGATTTGTCCGGATC-1", "iM.data_ACTGTGATCGTAGCTA-1", "iM.data_CCAATGAGTGATCGTT-1", "iM.data_AACCAACAGTCTACCA-1", "iM.data_ACGTAGTTCGTCGACG-1", "iM.data_GGGATCCTCCGTGTGG-1", "iM.data_CTGCGAGGTCAGTCCG-1", "iM.data_TGCACGGCACAGTCCG-1", "iM.data_AACGAAATCGTTCGCT-1", "iM.data_TAGACCACATTATGCG-1", "iM.data_GTAACACGTCAAAGAT-1", "iM.data_CATCGTCCAGTTCTAG-1", "iM.data_GCCAGGTGTGCTTCAA-1", "iM.data_TATCCTAGTGGTCAAG-1", "iM.data_TAAGTCGGTCACTTAG-1", "iM.data_AGGTAGGGTTGCCAAT-1", "iM.data_GTCGAATCAATCAGCT-1", "iM.data_TGCTCGTTCAGAGCGA-1", "iM.data_CCGGACAAGGGTAGCT-1", "iM.data_ACAGCCGTCTATTGTC-1", "iM.data_TGCGACGCAGTGTATC-1", "iM.data_TTGCTGCGTCCCTAAA-1", "iM.data_CTCATTATCGACCACG-1", "iM.data_ACAGCCGCAGCGTATT-1", "iM.data_CAGATCAAGCTAGAGC-1", "iM.data_AGTTCGATCTCTTCAA-1", "iM.data_GACTATGCAGCTTCGG-1", "iM.data_GGTCTGGCACAGTCGC-1", "iM.data_ACTATTCAGCTATCTG-1", "iM.data_TCCGAAAGTCTACAGT-1", "iM.data_TCGACGGCATAACGGG-1", "iM.data_TGCTTCGTCCGCAACG-1", "iM.data_TATCCTAAGATAGGGA-1", "iM.data_GAAGCCCCAGACCAAG-1", "iM.data_GCCGTGAGTAATCAGA-1", "iM.data_CAAGGGATCTTCCGTG-1", "iM.data_ACCCTCATCGTAGGGA-1", "iM.data_GAGACTTTCTAGTACG-1", "iM.data_CATGCAAAGGTTACAA-1", "iM.data_GCACTAATCAGCTGTA-1", "iM.data_CAACCAAGTGATACAA-1", "iM.data_TCGGGACCATGCCATA-1", "iM.data_ATGGTTGAGCACACAG-1", "iM.data_TGAACGTAGCCAGTAG-1", "iM.data_TTGTTGTCAATGTTGC-1", "iM.data_AGTAGTCGTGCCAAGA-1", "iM.data_TTCTCTCGTGTATTGC-1", "iM.data_TCGCTCAGTTGTGTTG-1", "iM.data_CGGGTGTAGTGGTGGT-1", "iM.data_TCGTAGACACAAACGG-1", "iM.data_TGGGCTGGTTCATCTT-1", "iM.data_AGTAGTCGTCTTGCGG-1", "iM.data_TGATGCACAGCTCCTT-1", "iM.data_TACGCTCTCTGTGCGG-1", "iM.data_GGATGTTCATATTCGG-1", "iM.data_GAGTCTAGTAGATGTA-1", "iM.data_CTAAGTGGTGTCACAT-1", "iM.data_GATTCGAAGCGTGAGT-1", "iM.data_TCAGTTTAGTCGGCCT-1", "iM.data_GGCTGTGTCACCACAA-1", "iM.data_TGTAGACTCTTGCAGA-1", "iM.data_CCGTTCAGTGAAGCGT-1", "iM.data_CTCCCAACAACAAAGT-1", "iM.data_TCATTTGGTGAAAGTT-1", "iM.data_TAACTTCAGGATTTGA-1", "iM.data_TTGAGTGGTGTGTGTT-1", "iM.data_TTGCCTGAGATTGACA-1", "iM.data_TCTGGCTCATATGCGT-1", "iM.data_TACCGAAAGAGTCTTC-1", "iM.data_TTTACGTCAGAACTCT-1", "iM.data_TTGCATTTCCAGTGCG-1", "iM.data_CGGGTGTTCCGCGATG-1", "iM.data_GAAGTAATCGCCTAGG-1", "iM.data_ATGACCAAGATTGGGC-1", "iM.data_CCTCACATCGATACTG-1", "iM.data_GCCGTGATCTGGGCAC-1", "iM.data_AGAGCCCGTTGGTACT-1", "iM.data_GAGTGAGTCGGTGCAC-1", "iM.data_GTAGAGGTCCATATGG-1", "iM.data_ACTACGAAGTCGCCCA-1", "iM.data_GTGTCCTTCTAGTCAG-1", "iM.data_CCATAAGAGAGTTGTA-1", "iM.data_TATCTGTCAGTTTCGA-1", "iM.data_GGAAGTGTCATAGCAC-1", "iM.data_AGGCTGCGTCCTCCTA-1", "iM.data_TGAGACTTCTGTCCGT-1", "iM.data_GAGAAATCATCCGAGC-1", "iM.data_GTCCCATCATTACTCT-1", "iM.data_AGCGATTTCGATAACC-1", "iM.data_GTTCGCTAGAGATTCA-1", "iM.data_TAGATCGGTTGACTAC-1", "iM.data_TAATTCCGTAAGGTCG-1", "iM.data_ATGTCTTGTGATACCT-1", "iM.data_CTGTAGACAGATAAAC-1", "iM.data_GATGATCAGATGACCG-1", "iM.data_TGAGCATCATCGTGGC-1", "iM.data_ATCTCTAAGAGGGTGG-1", "iM.data_AGAACCTAGATGCCGA-1", "iM.data_GTAATGCGTTTAGTCG-1", "iM.data_CGTGTCTAGACTTCAC-1", "iM.data_CCCTCTCAGTAACGTA-1", "iM.data_GTAACCATCCCAGGCA-1", "iM.data_AGGACTTGTGCTTATG-1", "iM.data_AGGTGTTTCAGCTGTA-1", "iM.data_GATTGGTGTCCGAAGA-1", "iM.data_ATTCATCTCGCAATGT-1", "iM.data_CGAATTGGTTACCTGA-1", "iM.data_CCACAAACACTCGATA-1", "iM.data_CTAAGTGAGTTTCGGT-1", "iM.data_CTTCCGACAGAGGTTG-1", "iM.data_ATGGGAGGTATGAAAC-1", "iM.data_ACAGAAACAGAACTAA-1", "iM.data_CAGAGCCGTGATAGTA-1", "iM.data_TTGAGTGTCTGGCCTT-1", "iM.data_ATGGTTGAGATGAAGG-1", "iM.data_ACACGCGGTGTTAAAG-1", "iM.data_TGCGACGTCGTTCTCG-1", "iM.data_GAAGCCCAGTCCCGGT-1", "iM.data_ATTACCTTCTCTGGTC-1", "iM.data_CTAGGTACATCCAACA-1", "iM.data_CAACAACCACGACGTC-1", "iM.data_ATGGAGGGTCGTCATA-1", "iM.data_CGTGCTTTCCTCATAT-1", "iM.data_CTGGACGTCTGAGAGG-1", "iM.data_TCAGTCCCAAGGCCTC-1", "iM.data_AGTACTGCAAGAGTTA-1", "iM.data_AGATGAAAGGTAGATT-1", "iM.data_AGATGCTTCTATGTGG-1", "iM.data_TCCGGGAGTAGTTACC-1", "iM.data_AAACGCTAGGCTAGCA-1", "iM.data_AACGAAAGTCATCGCG-1", "iM.data_TTGGGTAGTCTACACA-1", "iM.data_GTCTGTCCACGACAGA-1", "iM.data_TCGGGACAGGACAGCT-1", "iM.data_TGCGGCAAGAGCAGCT-1", "iM.data_AAAGAACGTAGACACG-1", "iM.data_CCTAAGAGTGATCGTT-1", "iM.data_CCCGGAAGTTTCACAG-1", "iM.data_GAATCGTAGTGACACG-1", "iM.data_GAGTTTGGTCGTGCCA-1", "iM.data_GCGTTTCTCCCACAGG-1", "iM.data_GTGCTTCCACAATGCT-1", "iM.data_GGTTAACGTTCCCACT-1", "iM.data_TTTCATGGTATCGTTG-1", "iM.data_CTCTCGAAGTTGGCTT-1", "iM.data_CCACGTTAGGGTTAGC-1", "iM.data_ATCACAGAGGGTAATT-1", "iM.data_ATCGTGAGTTGAGAGC-1", "iM.data_CTCCATGAGTGAGTTA-1", "iM.data_CGATCGGGTCCAGGTC-1", "iM.data_TAAGTCGAGGATGAGA-1", "iM.data_AAGCGTTTCCAGTGTA-1", "iM.data_GGATCTAAGCAGGCAT-1", "iM.data_CAGTGCGTCTACTGCC-1", "iM.data_ACCATTTGTAGGGAGG-1", "iM.data_CATCGGGGTCCCGTGA-1", "iM.data_GTTACGACAGCAGTTT-1", "iM.data_GTTACGAGTCGGTGAA-1", "iM.data_AGGGCCTTCACAAGGG-1", "iM.data_AGCGATTGTCCAGCGT-1", "iM.data_AAAGTCCCAAGTGGTG-1", "iM.data_CAAGCTATCCACGTCT-1", "iM.data_TGATCTTGTTCGTAAC-1", "iM.data_GCGAGAATCTCCGATC-1", "iM.data_TAACTTCCATAGATGA-1", "iM.data_ACATCGAGTAGACTGG-1", "iM.data_AGAAATGAGTCAACAA-1", "iM.data_CCACCATGTGGTCTTA-1", "iM.data_TGCGACGGTATTAAGG-1", "iM.data_TATTTCGGTAATCAAG-1", "iM.data_CATCGCTGTCCGACGT-1", "iM.data_AAGAACACATGCACTA-1", "iM.data_ATCATTCTCATGGCCG-1", "iM.data_TTGCGTCCACGTCATA-1", "iM.data_CCTCATGTCAGCAATC-1", "iM.data_TCGCAGGAGCACCGTC-1", "iM.data_CGTGATAGTGGGAGAG-1", "iM.data_TGTTGAGTCTATCGTT-1", "iM.data_GTTCTATGTGCCAAGA-1", "iM.data_AATGGCTAGTCGGGAT-1", "iM.data_GTAGTACAGGTTATAG-1", "iM.data_GTGGAAGAGTCATAGA-1", "iM.data_GAAGCCCAGTATGACA-1", "iM.data_AAGACAATCAGGCGAA-1", "iM.data_CCAAGCGTCATAGACC-1", "iM.data_ACTATGGGTCAAATCC-1", "iM.data_CGTTAGAAGAGTTCGG-1", "iM.data_AATGACCGTAACCCGC-1", "iM.data_GCGTTTCGTGGCGCTT-1", "iM.data_TACGTCCTCTGCTAGA-1", "iM.data_TTTGATCGTAAGTTGA-1", "iM.data_ACAGCCGTCTAGTGTG-1", "iM.data_CCGGACACACCTTCGT-1", "iM.data_AGGAATATCGATACAC-1", "iM.data_TCGGATATCTGTACAG-1", "iM.data_CCTCAGTTCAGGCGAA-1", "iM.data_TCCTCCCCAAACGTGG-1", "iM.data_GGTTGTATCCTCACTG-1", "iM.data_GTAGTACAGAACTGAT-1", "iM.data_AAAGGGCGTTGGTGTT-1", "iM.data_CTGAATGCAGACCAAG-1", "iM.data_GACGTTAAGTTGGACG-1", "iM.data_GTTAGTGTCTCATGGA-1", "iM.data_ACGTAGTTCGTCAGAT-1", "iM.data_AGAGCAGAGGTCGTCC-1", "iM.data_GGTAATCGTGATATAG-1", "iM.data_CATTGTTAGGAAGTCC-1", "iM.data_CAGCCAGAGTGGAAGA-1", "iM.data_AGACAAAAGGTATAGT-1", "iM.data_TACACCCAGATTGGGC-1", "iM.data_CGGAACCCAGCTTTGA-1", "iM.data_CGAGAAGTCCACTAGA-1", "iM.data_GTGATGTCATACTGTG-1", "iM.data_TGGTAGTAGAGGGTAA-1", "iM.data_ATTCTACAGAGCAAGA-1", "iM.data_GAACGTTGTCGGTAAG-1", "iM.data_ACCACAAAGTATGGAT-1", "iM.data_ATGTCTTGTCAAGCGA-1", "iM.data_GGAGGATAGATACTGA-1", "iM.data_TGTTCTAGTCGGTAAG-1", "iM.data_CTCGAGGCATTGCTGA-1", "iM.data_AACAAGAAGAGAGCCT-1", "iM.data_ATCGGCGCAGCGGTCT-1", "iM.data_ACGTAGTGTGAATTGA-1", "iM.data_ATGAGGGTCTATTCGT-1", "iM.data_GCCAGCAAGTATGCAA-1", "iM.data_GTCATGATCACCTGTC-1", "iM.data_CCGGGTATCATCGGGC-1", "iM.data_GTTACGAGTTGTATGC-1", "iM.data_TCCTTCTAGATAGGGA-1", "iM.data_TACTTGTTCTGTCCCA-1", "iM.data_GAGCCTGGTACTCGAT-1", "iM.data_GACAGCCTCCTTTGAT-1", "iM.data_CTGGTCTGTACGATTC-1", "iM.data_TGTGATGCAGGCTACC-1", "iM.data_CCGTGAGCAATACGCT-1", "iM.data_GTCAAGTAGAAGGATG-1", "iM.data_TTTGTTGGTTTGGGAG-1", "iM.data_AAACGCTGTGATGTAA-1", "iM.data_GTCATCCAGTTGCGCC-1", "iM.data_CAGTTAGGTTGTACGT-1", "iM.data_CACGGGTTCGGCGATC-1", "iM.data_GAAATGACACGCGTGT-1", "iM.data_TTGAACGTCCGCGATG-1", "iM.data_GTGTAACAGATTAGTG-1", "iM.data_CTCAATTTCGGTCTAA-1", "iM.data_CACGGGTGTAACTGCT-1", "iM.data_ACCATTTAGGGCTTCC-1", "iM.data_TTGTTCAGTAGGTAGC-1", "iM.data_TGAGGAGCAGTGTGGA-1", "iM.data_TTTCGATTCTGATGGT-1", "iM.data_GTATTTCGTTACCGTA-1", "iM.data_GACGCTGGTAACGGTG-1", "iM.data_ATCCTATTCTGCATAG-1", "iM.data_GAAGCCCCAACCCGCA-1", "iM.data_TCATTCAAGTACCGGA-1", "iM.data_ACTTCCGAGAGATGCC-1", "iM.data_ACGTTCCCAATCGCGC-1", "iM.data_CTTCAATCATTCAGGT-1", "iM.data_CCCTAACAGCCTGTCG-1", "iM.data_CTGGCAGGTCATCGGC-1", "iM.data_TTACTGTCAAAGGCGT-1", "iM.data_GGAAGTGGTTCAAGTC-1", "iM.data_CTTTCAAAGAAGGGAT-1", "iM.data_TGCTCGTAGGGTGGGA-1", "iM.data_AGGGAGTAGCTGAGTG-1", "iM.data_CGGAACCGTTTAGAGA-1", "iM.data_AACTTCTGTAGCACAG-1", "iM.data_CCCGAAGCAAGATGTA-1", "iM.data_GTCACTCGTCAACATC-1", "iM.data_TGCATGACAAGACCTT-1", "iM.data_CAGTGCGCAAGTGGGT-1", "iM.data_CTGGCAGGTGCTTATG-1", "iM.data_ATGAGGGCAGCAGTAG-1", "iM.data_TACAGGTAGACATGCG-1", "iM.data_ACAGAAACATGACGAG-1", "iM.data_GATCAGTCAATTTCGG-1", "iM.data_CATCGGGTCGGTCTGG-1", "iM.data_ACCAACAAGGAATCGC-1", "iM.data_GTCTACCAGTGGACTG-1", "iM.data_CACTGAACAGCTTCCT-1", "iM.data_TGGTTAGGTGTGAGCA-1", "iM.data_GTCACGGCATGTGACT-1", "iM.data_GCAGCTGTCACCTCTG-1", "iM.data_CGGAATTGTTCGGCTG-1", "iM.data_GCCAGTGAGGATGAGA-1", "iM.data_ATAGAGAGTAATCAAG-1", "iM.data_GTCATCCGTGTGAATA-1", "iM.data_CCGGTGACATTCCTCG-1", "iM.data_CCGGTGAGTCAGCGTC-1", "iM.data_GCCAGCAGTGAGATAT-1", "iM.data_GGTTAACGTCGTGGTC-1", "iM.data_GCTCAAAAGTGCAAAT-1", "iM.data_GTTGTCCCAAGTGGGT-1", "iM.data_CCGGTGACAGTTGCGC-1", "iM.data_ACACCAACAAGACGAC-1", "iM.data_CTATAGGGTCGACGCT-1", "iM.data_GACTGATGTAGCCCTG-1", "iM.data_GGGAAGTTCTGGCCTT-1", "iM.data_TGGGCGTCAGTTAGAA-1", "iM.data_CACTGGGTCCGCGATG-1", "iM.data_AAGGTAAGTTATGTCG-1", "iM.data_AAGTCGTTCGACTCCT-1", "iM.data_CTAGGTAAGGATATAC-1", "iM.data_AAGACTCCAGTCGCTG-1", "iM.data_GGTGTTATCTCGGCTT-1", "iM.data_GTCCCATAGCCTCTTC-1", "iM.data_ACGTTCCCACATATCG-1", "iM.data_TAACTTCAGGAGTATT-1", "iM.data_TGGGAGACAATAGTAG-1", "iM.data_CATACAGTCGGTCTAA-1", "iM.data_CAGCACGCATCATCTT-1", "iM.data_TGTTCTATCTAGTGTG-1", "iM.data_AACCTGAAGCGAGGAG-1", "iM.data_GAGAAATTCTCGAGTA-1", "iM.data_CTTCTAAGTGCCTATA-1", "iM.data_CCAAGCGCACTATGTG-1", "iM.data_TGTTTGTTCCTCCACA-1", "iM.data_TGGTTAGGTACAGCGA-1", "iM.data_CATACTTGTGTTAACC-1", "iM.data_CTACAGAAGAACAGGA-1", "iM.data_GTTCATTTCTTTCGAT-1", "iM.data_GAGGGTATCTCCCAAC-1", "iM.data_CCTAAGATCCACGTCT-1", "iM.data_GGTGTCGTCACGAACT-1", "iM.data_CAAGCTACAGAGCTAG-1", "iM.data_GAGTTTGCAGTCCCGA-1", "iM.data_GCATTAGCAGGGATAC-1", "iM.data_GCATCGGCACGACCTG-1", "iM.data_TTGGGATAGCGACCCT-1", "iM.data_AGGTTGTAGGGTACGT-1", "iM.data_TCGAAGTAGTGCCTCG-1", "iM.data_AGGTTACAGTAACGTA-1", "iM.data_GAATCGTTCGCTCCTA-1", "iM.data_ACGGTCGCAAGCACAG-1", "iM.data_ATTGGGTGTGGTCTGC-1", "iM.data_TGAGTCAGTAAGTCAA-1", "iM.data_TTACGTTAGGCCTAGA-1", "iM.data_CATCCACCATGGGTCC-1", "iM.data_CATTGCCTCTCGCTCA-1", "iM.data_AACCCAACACCTCGTT-1", "iM.data_CTTGATTGTCTTTCAT-1", "iM.data_GCCATGGTCGGAGTGA-1", "iM.data_CTGAGCGCAATAACCC-1", "iM.data_CTATAGGAGTACGAGC-1", "iM.data_CTGCGAGAGACAACAT-1", "iM.data_CTGTAGATCTCATTGT-1", "iM.data_GCTTGGGTCTATACGG-1", "iM.data_TATTGCTGTAAGTTGA-1", "iM.data_AATCACGTCTATTCGT-1", "iM.data_GACCGTGAGGACTGGT-1", "iM.data_TGGGAGACAAATGGAT-1", "iM.data_TCAGTGAAGGATCATA-1", "iM.data_CTCATTAAGTGATTCC-1", "iM.data_GGGATGAGTGTCGATT-1", "iM.data_CGTAGTATCTGCACCT-1", "iM.data_GGTCACGGTAATGCTC-1", "iM.data_TTTATGCGTATACCCA-1", "iM.data_GATGGAGCACCTGCTT-1", "iM.data_GGGTGAATCCAGTGCG-1", "iM.data_TCACTCGTCTACACTT-1", "iM.data_ACCGTTCAGGATTACA-1", "iM.data_GCGTGCACACAGAGAC-1", "iM.data_GGGATCCGTGTTCGTA-1", "iM.data_GCATCTCAGGAATGTT-1", "iM.data_GATAGAAGTCAAAGTA-1", "iM.data_AGCGTATAGCACTAGG-1", "iM.data_TAAGCACTCGTGTGGC-1", "iM.data_AGGTCATTCGAAGAAT-1", "iM.data_GTTATGGAGCAGGCAT-1", "iM.data_AATGCCAGTGTGATGG-1", "iM.data_TGCATGATCGCAGTGC-1", "iM.data_CACTGGGGTGGAAATT-1", "iM.data_CAAAGAAAGGCTTAGG-1", "iM.data_AGCGTATCATGGAAGC-1", "iM.data_GTTCGCTAGCGTCAAG-1", "iM.data_TCGCTCAAGGCTTAGG-1", "iM.data_TGCGGGTTCGTGACTA-1", "iM.data_GGCTTTCAGGTCGTAG-1", "iM.data_ACTTATCAGTGGAAGA-1", "iM.data_GTCATTTGTGACTAAA-1", "iM.data_CTAACCCCATGAAGGC-1", "iM.data_TTCACCGGTCGTATTG-1", "iM.data_GATTTCTGTGCCTGCA-1", "iM.data_TGCCGAGCAACCACAT-1", "iM.data_CTACGGGCATGCCGCA-1", "iM.data_TGGGTTAAGTGATAAC-1", "iM.data_GACATCAGTCGGATTT-1", "iM.data_TGGGCGTCAAGTGTCT-1", "iM.data_TGCAGTATCATTACTC-1", "iM.data_AGGATCTAGTGGTTGG-1", "iM.data_ATAGAGATCAGCTTGA-1", "iM.data_TGCTGAATCTACCAGA-1", "iM.data_CGAATTGAGAGTTGTA-1", "iM.data_GTTGCGGTCAGGTAAA-1", "iM.data_TGGAGAGAGAGGGTAA-1", "iM.data_GGACGTCTCCATTCAT-1", "iM.data_TCTTTGAAGAAGCGAA-1", "iM.data_CTTCTAAAGACTGAGC-1", "iM.data_CACTGGGAGGTACTGG-1", "iM.data_TAGCACAAGGATATGT-1", "iM.data_TGTGTGAAGATGGTCG-1", "iM.data_GCTTGGGCAATTGCGT-1", "iM.data_AATGACCGTTGCCGAC-1", "iM.data_CCGTAGGAGGAATGTT-1", "iM.data_TGTCAGAGTAGCTTGT-1", "iM.data_CATCCGTAGGTTACAA-1", "iM.data_GTTGCGGAGTAGACCG-1", "iM.data_CTCAAGAGTTGGACTT-1", "iM.data_CCTCACATCACCTTAT-1", "iM.data_GAAGGACAGTGTCATC-1", "iM.data_GTGTTCCCAACGGCCT-1", "iM.data_TAGGTACGTATGCAAA-1", "iM.data_ATTCCATGTCTCAAGT-1", "iM.data_GTGAGTTTCTCGTTTA-1", "iM.data_TGATGGTGTATTCCTT-1", "iM.data_GTGGCGTGTGGATACG-1", "iM.data_TGTCAGAAGCACAAAT-1", "iM.data_TGATTCTGTTGCAACT-1", "iM.data_AGTAGTCTCGAGTTGT-1", "iM.data_CCTGCATGTACAGTTC-1", "iM.data_TTTGGTTCATGTCGTA-1", "iM.data_GTTACAGGTTGCATAC-1", "iM.data_GAAGAATCAATCCTAG-1", "iM.data_GTAGAAAAGGTCTTTG-1", "iM.data_AATCACGTCTTCCTAA-1", "iM.data_TTCATTGAGAATCGCG-1", "iM.data_TGATTCTGTCGTCGGT-1", "iM.data_AGCGCCACATTGACCA-1", "iM.data_TGCCGAGTCTGGCCTT-1", "iM.data_TGTTTGTGTCCCTAAA-1", "iM.data_TAACTTCGTATCTCTT-1", "iM.data_TTCTTCCGTCCTACGG-1", "iM.data_TAAGTCGCATGGAACG-1", "iM.data_TGTTCCGTCTACTGAG-1", "iM.data_CGTGAATAGTAATACG-1", "iM.data_TACGCTCGTATGCTTG-1", "iM.data_ACTTTCACACACCTGG-1", "iM.data_CTTTCGGGTGTATTGC-1", "iM.data_AGTCAACGTCGTGGAA-1", "iM.data_GTCACGGGTGTGGTCC-1", "iM.data_TCTTCCTCAGAGGCTA-1", "iM.data_TCTATCAAGCTCTATG-1", "iM.data_CAGATACTCGTGGCTG-1", "iM.data_GTACAGTGTAACGATA-1", "iM.data_AACAGGGAGACTCTTG-1", "iM.data_AGCGTATGTTGATGTC-1", "iM.data_GAGACTTCATTGTGCA-1", "iM.data_TCTGCCAGTCTGTGTA-1", "iM.data_AAGTGAAGTGTGATGG-1", "iM.data_ACGATCAAGTCTGCAT-1", "iM.data_CTCCACAGTCACTGAT-1", "iM.data_GGGCTCACAATTGCGT-1", "iM.data_GGAAGTGGTTAGGGTG-1", "iM.data_TCAATCTCAGCGGATA-1", "iM.data_CTACGGGGTTTAGAGA-1", "iM.data_TCTACCGCAACTTCTT-1", "iM.data_GCCTGTTGTTCGGTCG-1", "iM.data_TTGTGGAGTGAATGAT-1", "iM.data_ACCCAAAAGTGGACGT-1", "iM.data_ACTTCGCGTTGCCAAT-1", "iM.data_AGTACCAAGGGTTTCT-1", "iM.data_TGGTGATTCGCTGATA-1", "iM.data_TTCAGGAAGTCATACC-1", "iM.data_CATCAAGCATTGACTG-1", "iM.data_GACTATGAGTGATCGG-1", "iM.data_ATCCGTCCAGGAACCA-1", "iM.data_GAATAGAGTGGAAGTC-1", "iM.data_ACCCTTGTCATCGCCT-1", "iM.data_TATTGGGGTTGAGAGC-1", "iM.data_CCCGGAATCTATTGTC-1", "iM.data_TTCCTAACAGCGTATT-1", "iM.data_ATCAGGTTCGTGAGAG-1", "iM.data_GTCACGGTCCCATACC-1", "iM.data_CTGTGGGGTGTTCGTA-1", "iM.data_CAAGGGAAGAGCAAGA-1", "iM.data_GAATAGACAGACAAAT-1", "iM.data_CGGGTCAGTATCACCA-1", "iM.data_GTTAGACTCACAATGC-1", "iM.data_ATGAGGGAGTTACGAA-1", "iM.data_AGTACTGAGGGCCTCT-1", "iM.data_GATCGTAGTATTGACC-1", "iM.data_AGGTAGGTCAACGCTA-1", "iM.data_GAATCGTTCGCAGTTA-1", "iM.data_TGACAGTAGAGTTGAT-1", "iM.data_TCATTGTCAACTTGCA-1", "iM.data_CATCGTCGTTGTAAAG-1", "iM.data_TACCCGTTCTGCCTGT-1", "iM.data_CACCGTTAGACGGAAA-1", "iM.data_ACAACCAGTGAGACGT-1", "iM.data_AAAGTGAGTTCAAAGA-1", "iM.data_AAAGGGCGTCTACATG-1", "iM.data_TATACCTAGACGTCCC-1", "iM.data_GCTACCTTCAAGCTGT-1", "iM.data_TCTAACTTCAAGAATG-1", "iM.data_ACGCACGTCTAGTGTG-1", "iM.data_CAAGGGATCCACGTCT-1", "iM.data_CTGCATCGTCCGCAGT-1", "iM.data_AGGTTACCAGAAATTG-1", "iM.data_AGCGCTGTCTGAGAGG-1", "iM.data_CTCTGGTCAAGAGTGC-1", "iM.data_CGTAAGTTCATTTGTC-1", "iM.data_TCAATTCTCGGCATAT-1", "iM.data_CTAACTTAGCAAGTGC-1", "iM.data_AAAGTCCAGCCATATC-1", "iM.data_CTCATCGGTGTGTGTT-1", "iM.data_CTAGACAAGATGTTAG-1", "iM.data_ACGTACAGTAGATTGA-1", "iM.data_ATTCTACAGCGATGGT-1", "iM.data_CGCATAACAAGTGGAC-1", "iM.data_GCCATTCGTACGAAAT-1", "iM.data_ATGGGAGGTTAAACCC-1", "iM.data_AAGGAATGTGGAAATT-1", "iM.data_GGAGGTATCTAGCCTC-1", "iM.data_TTTCACATCGGAACTT-1", "iM.data_GTGGGAAGTCGGATTT-1", "iM.data_CTGGCAGAGGTTATAG-1", "iM.data_GCTACCTGTGGGAGAG-1", "iM.data_TGGTGATTCCATTGGA-1", "iM.data_TATCTTGCAATGCTCA-1", "iM.data_GATAGCTAGTGTTGTC-1", "iM.data_ACTTCGCGTTCTCCCA-1", "iM.data_GGGATCCGTCCTGGTG-1", "iM.data_CCACGTTCAAGACCTT-1", "iM.data_GTGGTTATCGTGCGAC-1", "iM.data_CGAGTGCTCCGATCGG-1", "iM.data_TCTGCCAGTCAACATC-1", "iM.data_GGGTGAATCAGACAAA-1", "iM.data_CTCGAGGAGGGCTGAT-1", "iM.data_AGTGATCGTCGTTGGC-1", "iM.data_CACTAAGTCAGCAGAG-1", "iM.data_AACCATGAGTTGCGCC-1", "iM.data_ATCGTCCTCGCCAATA-1", "iM.data_GGGCTACTCTAACGGT-1", "iM.data_CGTAGTACAAGGAGTC-1", "iM.data_CACTAAGGTAGAGTTA-1", "iM.data_GGGCGTTGTTGTAAAG-1", "iM.data_TTTCACAGTTATCCAG-1", "iM.data_TTTGGTTCACCAGCGT-1", "iM.data_GTTATGGAGTTAGAAC-1", "iM.data_GTTTGGAAGGCATTTC-1", "iM.data_TTGCTGCAGACCCGCT-1", "iM.data_TTCGATTGTAAGGCTG-1", "iM.data_ATGCATGTCCTGGGAC-1", "iM.data_GAAGGACGTTAAGGGC-1", "iM.data_CGAAGTTTCTCACGAA-1", "iM.data_GTGAGGATCGTCTCAC-1", "iM.data_GAATAGATCCGTGTGG-1", "iM.data_TGTGTGAGTTCTTAGG-1", "iM.data_TCTCCGACAAACTCGT-1", "iM.data_CTCTGGTCACGACAAG-1", "iM.data_TACCTGCTCCTAAGTG-1", "iM.data_CATAAGCAGGCCTGCT-1", "iM.data_TTCCTAAGTCGGCACT-1", "iM.data_TCGAACACACGTCGGT-1", "iM.data_GCCAGCAGTGTTAGCT-1", "iM.data_CCCATTGAGGTCGTGA-1", "iM.data_GGGCGTTAGAGCTGAC-1", "iM.data_GAGATGGGTCAACCAT-1", "iM.data_GCAACATAGCCATTGT-1", "iM.data_TGGTACAGTACTGACT-1", "iM.data_CAGTGCGTCAGCTTGA-1", "iM.data_CGGCAGTGTGACGCCT-1", "iM.data_TTGCGTCTCCAAGGGA-1", "iM.data_GCACGGTCAGCCCAGT-1", "iM.data_TAGTGCAAGCTAGAGC-1", "iM.data_GCAGCCAGTAGGACCA-1", "iM.data_GAGGGTATCCACAGCG-1", "iM.data_GGTAACTGTCGTCAGC-1", "iM.data_GATCAGTCAGAGGACT-1", "iM.data_CTCATTAGTGGCTCTG-1", "iM.data_ATCAGGTGTTTGTTGG-1", "iM.data_TGAATCGCAGGGCTTC-1", "iM.data_GAGACTTAGGCCACCT-1", "iM.data_TACCTGCAGGATATAC-1", "iM.data_TTCGATTGTTGCGTAT-1", "iM.data_GGGAAGTGTACTCCGG-1", "iM.data_GGAGGATAGTTCTACG-1", "iM.data_AAAGAACAGAGAATCT-1", "iM.data_TACATTCGTCCTGGGT-1", "iM.data_TTTACTGGTCACCGCA-1", "iM.data_AGTAGCTCACATGGTT-1", "iM.data_GTCCCATCATAACTCG-1", "iM.data_TACTTACCAGGTTCGC-1", "iM.data_GTGCAGCAGACCTGGA-1", "iM.data_CATTCATGTCGGTGTC-1", "iM.data_GGGAAGTTCTAGAACC-1", "iM.data_TGTGATGAGAAACTAC-1", "iM.data_GTGTCCTGTATCGGTT-1", "iM.data_GGATCTAGTAACATGA-1", "iM.data_ACTGTCCAGTGGGAAA-1", "iM.data_AGAAGCGGTAGACGTG-1", "iM.data_GAAGCGATCTCTTAAC-1", "iM.data_GCAGGCTGTGACTAAA-1", "iM.data_TCTGCCACATAGGTAA-1", "iM.data_TTTCAGTTCTCTGAGA-1", "iM.data_GACTCTCAGTACGTCT-1", "iM.data_GGCGTCACAAATCGGG-1", "iM.data_TTTACTGAGTTGAATG-1", "iM.data_TATTGGGTCCGCGAGT-1", "iM.data_TCACTATGTACGACAG-1", "iM.data_GTAGCTAAGTCTGCGC-1", "iM.data_GGAGGTACAATTGCCA-1", "iM.data_CGCATGGGTACGTGTT-1", "iM.data_GATTCTTAGGTCCCGT-1", "iM.data_AGCGTATAGTCTTGGT-1", "iM.data_AGACAAAAGAGTCTTC-1", "iM.data_CTATCCGAGTGATAGT-1", "iM.data_TTAGTCTGTTGGGCCT-1", "iM.data_AGATAGAAGGCGAACT-1", "iM.data_ATTCAGGCAGGGAATC-1", "iM.data_AGTCACATCAGGACGA-1", "iM.data_CTAACTTAGTAGATCA-1", "iM.data_TTGGGATGTGCTCTCT-1", "iM.data_GTTATGGGTCGGCCTA-1", "iM.data_AGCATCACATCTGCGG-1", "iM.data_GCAGCCAAGCCTTTGA-1", "iM.data_CGAGAAGAGTTGAAGT-1", "iM.data_CCACTTGGTGTCATTG-1", "iM.data_GTGGAAGCATCCAATG-1", "iM.data_GGTAGAGAGTTGCGCC-1", "iM.data_AGGTAGGGTGATGTAA-1", "iM.data_CGGAATTTCAGGAAGC-1", "iM.data_AACCTTTGTGTGTTTG-1", "iM.data_AAGTACCTCGTGTGGC-1", "iM.data_GTTCGCTGTGTTCAGT-1", "iM.data_GTGTTAGCAGTGTACT-1", "iM.data_GCTTCACTCAGCGCAC-1", "iM.data_TGAGTCACATCGGCCA-1", "iM.data_CAATACGGTATTGCCA-1", "iM.data_TCGCAGGGTTCCTTGC-1", "iM.data_CAAGGGATCCTAAACG-1", "iM.data_CTACCCATCAGCATTG-1", "iM.data_GTCTGTCGTTGGTAGG-1", "iM.data_CTGGTCTCATACCAGT-1", "iM.data_CTAACTTTCATGAGTC-1", "iM.data_TGGAGGACACAACGTT-1", "iM.data_CTCTCGACAGTTGGTT-1", "iM.data_GTTGCTCTCTCTCTTC-1", "iM.data_ACACTGACAAGTTTGC-1", "iM.data_CTATCCGAGTGCCAGA-1", "iM.data_CCATCACAGGTTAGTA-1", "iM.data_GCGTTTCCAACAGAGC-1", "iM.data_CATCCGTGTGTACGCC-1", "iM.data_GTTGAACTCGGCATTA-1", "iM.data_GTCAGCGTCCTAGAGT-1", "iM.data_GGTTGTAGTAGGTAGC-1", "iM.data_GATCACAAGAAAGCGA-1", "iM.data_AGACCCGAGTCGCCAC-1", "iM.data_GTCTGTCGTGATTAGA-1", "iM.data_CCCGGAAGTATGCTAC-1", "iM.data_TGAGGTTGTATCCCTC-1", "iM.data_GCAACCGAGTGAGGTC-1", "iM.data_AAAGAACCAGCGTGAA-1", "iM.data_AATTTCCAGGTTCACT-1", "iM.data_TTGCTGCTCGATTTCT-1", "iM.data_TTGTGGATCTGCGGAC-1", "iM.data_GGCTTGGAGCACTAAA-1", "iM.data_GGGATCCAGTGCACAG-1", "iM.data_CAACAGTCAATCTGCA-1", "iM.data_TCTATCAAGAGTGGCT-1", "iM.data_TCTAACTAGGTGCTAG-1", "iM.data_CATTCTATCCTGTACC-1", "iM.data_AAGCGTTAGGGTGAAA-1", "iM.data_GTTGTAGAGTGAGTGC-1", "iM.data_TGAGTCAGTCGAAACG-1", "iM.data_CAAAGAACATCGTTCC-1", "iM.data_GTATTTCTCGGAGTGA-1", "iM.data_AATCACGGTTCTCCCA-1", "iM.data_CATAGACCAGCATGCC-1", "iM.data_TACCTGCTCATGAGAA-1", "iM.data_CTGCAGGGTGCCTGCA-1", "iM.data_TATTTCGCAAGGACAC-1", "iM.data_TCATTACGTTTCGTTT-1", "iM.data_AGCGTATGTACGTGAG-1", "iM.data_GTCCACTAGTTTGGCT-1", "iM.data_TTACCGCTCGCCGAGT-1", "iM.data_TGCGACGAGGTGCATG-1", "iM.data_TCACATTTCGATGCTA-1", "iM.data_TGTGTGACATGTGGCC-1", "iM.data_TTCCACGGTTAACCTG-1", "iM.data_ACAGAAAAGATGAAGG-1", "iM.data_TCGTAGACACCGAATT-1", "iM.data_TGTGGCGGTTAAACAG-1", "iM.data_TGTTCTAGTTTGTTGG-1", "iM.data_CCTAACCTCGAAGTGG-1", "iM.data_CGGGTGTGTGCACATT-1", "iM.data_CCACAAAAGTAGGCCA-1", "iM.data_AGAGCAGAGACGGTTG-1", "iM.data_GTTACCCCACGGCCAT-1", "iM.data_GTACAACGTGCCGGTT-1", "iM.data_GTCCCATTCGTCGCTT-1", "iM.data_AATCGACCAACCGGAA-1", "iM.data_CCTCTAGCATGAAGCG-1", "iM.data_AGTAGTCTCAGGCGAA-1", "iM.data_GACCCTTCACAACATC-1", "iM.data_AGGATAAAGAGACAAG-1", "iM.data_TTAGTCTGTACTGGGA-1", "iM.data_TCTCACGGTACACGTT-1", "iM.data_GTCATCCGTATAGGGC-1", "iM.data_AGGATCTGTTGGCCGT-1", "iM.data_TCTATCATCCTTCTAA-1", "iM.data_ACACGCGAGTAAACAC-1", "iM.data_TCCACCAGTGGAATGC-1", "iM.data_AACCTTTTCTTGCGCT-1", "iM.data_GTCATCCAGCCGTTGC-1", "iM.data_CGAATTGCAAGTCGTT-1", "iM.data_CGTAATGCACACTTAG-1", "iM.data_TCGCAGGGTCGAGCTC-1", "iM.data_GGGTGTCCAATAGGAT-1", "iM.data_TATCCTATCCGCGGAT-1", "iM.data_TGCGACGTCTATACGG-1", "iM.data_TGTAGACTCGTAACTG-1", "iM.data_GCAACCGGTGCGACAA-1", "iM.data_GTAACACGTCTTCTAT-1", "iM.data_AAAGGTAGTGTGTTTG-1", "iM.data_TCGGATAGTTGCTCGG-1", "iM.data_CACTGAACATCGATGT-1", "iM.data_CATCGCTCAAAGGCGT-1", "iM.data_CATGGATAGCGCCGTT-1", "iM.data_AAAGGTAGTGACCTGC-1", "iM.data_TCCTTTCGTTCAAGGG-1", "iM.data_GGGAGTACAGTCGCTG-1", "iM.data_TCACAAGTCCGGTAAT-1", "iM.data_AAGACTCGTTTAGACC-1", "iM.data_CCTCAACCACTAGAGG-1", "iM.data_AGTCTCCGTAGTCTTG-1", "iM.data_TTGGTTTTCACAAGAA-1", "iM.data_TTGAGTGGTTGCGAAG-1", "iM.data_TAGTGCATCCGTGGTG-1", "iM.data_TGAACGTGTGTATTGC-1", "iM.data_TTTACGTCATCCTTGC-1", "iM.data_TGATTCTAGGTAAACT-1", "iM.data_TGTTCCGGTATAGGGC-1", "iM.data_AACGGGATCTCGCTCA-1", "iM.data_GGAGGATTCCAGTGTA-1", "iM.data_TCGATTTCACTAGGTT-1", "iM.data_TTTCATGCAGTTACCA-1", "iM.data_CCCTAACAGGTTAAAC-1", "iM.data_GCATCTCAGGTCACAG-1", "iM.data_GCCATTCAGGTACTGG-1", "iM.data_CATTCTATCTGGGTCG-1", "iM.data_TTCCTCTCATCGGAGA-1", "iM.data_ACCTGTCGTGGCTTAT-1", "iM.data_AGACCATGTAGCGAGT-1", "iM.data_CTGGCAGGTCCCTCAT-1", "iM.data_TGTCAGATCAGACAAA-1", "iM.data_CATTCCGTCCGATGTA-1", "iM.data_CTTCCGAAGTTCACTG-1", "iM.data_AGTTCGACACCTTCGT-1", "iM.data_GCACGTGAGGTTGAGC-1", "iM.data_ATCGGATCAACTGAAA-1", "iM.data_AGGATCTAGGTTCTTG-1", "iM.data_GGCTTTCGTACCTATG-1", "iM.data_GAATCGTTCATTACGG-1", "iM.data_TGCTCCAAGGACTAAT-1", "iM.data_GCCCGAATCAAGGACG-1", "iM.data_AGGAAATAGAGTTGAT-1", "iM.data_TATTTCGAGAGAAGGT-1", "iM.data_CATTCATGTTTGTGGT-1", "iM.data_TAGGGTTGTACGTACT-1", "iM.data_ATCCGTCGTAGGTAGC-1", "iM.data_CCAATGAAGAAACTAC-1", "iM.data_GGGACTCGTCAAAGTA-1", "iM.data_GTGCAGCGTGATTGGG-1", "iM.data_ACAAGCTTCTCTGCCA-1", "iM.data_ACCTGAATCGAGATGG-1", "iM.data_ATCACTTAGTAGTCCT-1", "iM.data_ATCGCCTAGAGCGACT-1", "iM.data_CTTCTCTCAGTCTGGC-1", "iM.data_CGGGTGTCACGTAGAG-1", "iM.data_GCATCGGGTGCGGTAA-1", "iM.data_TGCAGGCGTAGTCTTG-1", "iM.data_TTCAATCGTAGGCAGT-1", "iM.data_GTAATCGGTTACCTGA-1", "iM.data_GGAAGTGCATAATCGC-1", "iM.data_CTGTAGACACTTCTCG-1", "iM.data_GGGCGTTGTCCTCCAT-1", "iM.data_GTGAGGAAGACCGTTT-1", "iM.data_CTTCAATCAAGACCGA-1", "iM.data_CTTCCTTGTGCCGTTG-1", "iM.data_CTATCCGTCCTGTTAT-1", "iM.data_AGATAGAAGCGATCGA-1", "iM.data_TTCGGTCCATTGCCTC-1", "iM.data_TGAGGGACAACCGTAT-1", "iM.data_CTATCTAGTTCGGTCG-1", "iM.data_GATGACTAGCAGTACG-1", "iM.data_CTGCATCCACCGGCTA-1", "iM.data_AGCTACATCCCTGGTT-1", "iM.data_AGCTTCCTCAACTGGT-1", "iM.data_CGGGACTAGCAATTCC-1", "iM.data_CATAGACGTACGCTTA-1", "iM.data_GTCTAGAGTCGCATCG-1", "iM.data_CTCCAACGTGATTAGA-1", "iM.data_GCGTGCAAGTAGCATA-1", "iM.data_CCCGGAATCCATACAG-1", "iM.data_TGGGTTAGTAGCTAAA-1", "iM.data_ATCACTTGTCGTAATC-1", "iM.data_TGAGGAGAGCGTTCAT-1", "iM.data_TGTGAGTGTCATCCCT-1", "iM.data_TTTGACTCATTCTGTT-1", "iM.data_TCGGGTGCACTTGGGC-1", "iM.data_AACGTCAGTGTGGACA-1", "iM.data_CACTGGGCATGTTTGG-1", "iM.data_GTAGAAAGTATCGTGT-1", "iM.data_CACTTCGAGAAATGGG-1", "iM.data_TGAACGTCAAGTGGAC-1", "iM.data_CCGAACGCAGCAAGAC-1", "iM.data_GGGATGAAGTATGACA-1", "iM.data_CGGGACTGTACGACAG-1", "iM.data_TCATTGTAGCGGGTAT-1", "iM.data_CTTCTAAAGCCTCATA-1", "iM.data_AGGGTGACACGTGTGC-1", "iM.data_GTGCGTGCACCTGATA-1", "iM.data_GTGGCGTCACGGGTAA-1", "iM.data_AGGTCTAGTGGCTCTG-1", "iM.data_TTGCGTCTCCTTCGAC-1", "iM.data_CTCACTGAGCTGTTCA-1", "iM.data_GAGGGTATCCTGGGTG-1", "iM.data_CTTGATTCATGCCGGT-1", "iM.data_CTTCTCTCAACGATCT-1", "iM.data_TCACGCTTCTACGGGC-1", "iM.data_AATGAAGGTCCCTGTT-1", "iM.data_ACATCGATCTGAGGTT-1", "iM.data_CATCCGTTCGGTAACT-1", "iM.data_CGCCATTAGGTATAGT-1", "iM.data_GTGTCCTCAAGGTTGG-1", "iM.data_GATTCTTCACGATAGG-1", "iM.data_GTAGTACGTGGGCTTC-1", "iM.data_GTGAGTTTCGCAGTTA-1", "iM.data_TACAACGAGCTCTATG-1", "iM.data_TTAGGCAGTTGACGGA-1", "iM.data_AGTACCAGTACGCGTC-1", "iM.data_GTAACCAAGTTGAAAC-1", "iM.data_TCCACGTAGGAACGCT-1", "iM.data_TTCTCTCTCCCAGCGA-1", "iM.data_CTGCTCAAGAAGATCT-1", "iM.data_ACATTTCTCTAAGAAG-1", "iM.data_AGTAACCCATGACGGA-1", "iM.data_GATCAGTAGAACTGAT-1", "iM.data_CATGCAACACGGGCTT-1", "iM.data_TCACTCGAGGATCACG-1", "iM.data_TCGCTCAGTGTTGACT-1", "iM.data_TACTTACTCAGGAACG-1", "iM.data_CCGTAGGAGGGCAATC-1", "iM.data_TAGTGCACACTCAGAT-1", "iM.data_GTGTGGCCAGCTGCCA-1", "iM.data_ATAGAGAGTTACCTGA-1", "iM.data_GTATTGGGTTGCATTG-1", "iM.data_CGTGCTTGTGGCATCC-1", "iM.data_GTTTACTCAGGTTACT-1", "iM.data_AACCATGTCGCGCCAA-1", "iM.data_GAACTGTCAATTCTTC-1", "iM.data_TGCAGATAGGTGATAT-1", "iM.data_TATCTTGTCTGTGTGA-1", "iM.data_CGATGCGTCCCACAGG-1", "iM.data_ACTTCCGAGCTCGACC-1", "iM.data_TCAGCAAGTGTCTTCC-1", "iM.data_CCCATTGCATTGGCAT-1", "iM.data_AATAGAGCAGGTACGA-1", "iM.data_TACTTGTAGGCCCGTT-1", "iM.data_ACATGCAAGCAGTAAT-1", "iM.data_AACGGGACACTCACTC-1", "iM.data_CCTCAGTGTGATCGTT-1", "iM.data_GTTACCCAGCGTGCTC-1", "iM.data_TTACAGGCACCAACAT-1", "iM.data_GAGGCCTGTCGAGCTC-1", "iM.data_TGTCAGAAGTTCTACG-1", "iM.data_TTACCATTCGCGTCGA-1", "iM.data_GTGTTCCGTCACTACA-1", "iM.data_TCATTACGTGCAACAG-1", "iM.data_AAGTTCGAGCAAACAT-1", "iM.data_CAGATACTCGTGCACG-1", "iM.data_ATTCACTCATTCGATG-1", "iM.data_TTACGCCGTCGACGCT-1", "iM.data_CTCCTCCGTTTAGTCG-1", "iM.data_TGGGCGTAGGATCATA-1", "iM.data_CCGATCTGTCAAAGAT-1", "iM.data_GAGTCATAGTTTCGGT-1", "iM.data_TGACTCCTCCCACAGG-1", "iM.data_CCATAAGAGGAGGTTC-1", "iM.data_TCATTACTCAGCACCG-1", "iM.data_GATTCGAAGCTGAAAT-1", "iM.data_GATCACAAGGATGCGT-1", "iM.data_GTTGTAGCAACGACAG-1", "iM.data_GGTTAACGTGCAACAG-1", "iM.data_GCAGTTATCCTGCTAC-1", "iM.data_CTAGACAGTATTCCGA-1", "iM.data_TTTGATCCAGGTCCCA-1", "iM.data_CAGATTGTCGGCCTTT-1", "iM.data_CCGGGTAGTCCATACA-1", "iM.data_TGTGATGGTTGCGGAA-1", "iM.data_CATCCGTAGCGCTTCG-1", "iM.data_ATCTTCAAGCTCGCAC-1", "iM.data_AGTACTGTCCCGAGTG-1", "iM.data_GGATCTATCCGATAAC-1", "iM.data_TTCACGCGTAGCGTAG-1", "iM.data_CAGCGTGCAAATGGTA-1", "iM.data_TGTGGCGGTGCCCACA-1", "iM.data_CACATGATCTTTGGAG-1", "iM.data_ACTATCTGTGGGCTCT-1", "iM.data_TGCTGAAAGCACGTCC-1", "iM.data_GAATAGATCCAATCTT-1", "iM.data_AGTTAGCAGGATAATC-1", "iM.data_ACTTATCGTATTTCTC-1", "iM.data_CATCGTCAGACCTGGA-1", "iM.data_GGGCCATCACTTTATC-1", "iM.data_CAGTGCGTCCACACCT-1", "iM.data_TCATTTGGTGAATATG-1", "iM.data_TTGGGATTCTGGGCGT-1", "iM.data_AATCGTGGTAGTCTTG-1", "iM.data_GTAGGAGAGTCATGGG-1", "iM.data_GTGCACGCACTCAGAT-1", "iM.data_TGTTACTAGCCGATTT-1", "iM.data_CTGATCCCAACGGTAG-1", "iM.data_TGCGACGGTGTGTTTG-1", "iM.data_GTCCACTCATCATGAC-1", "iM.data_CTCTGGTTCAATCTTC-1", "iM.data_CACGGGTGTCTGGTTA-1", "iM.data_ATTTCTGAGCATATGA-1", "iM.data_AGAAATGCAGTTTGGT-1", "iM.data_GAACGTTTCTGAGAGG-1", "iM.data_TGTGTGATCAAATGAG-1", "iM.data_TCGGGCAGTAACAGGC-1", "iM.data_CTTCGGTTCTACTGCC-1", "iM.data_TAGAGTCGTCAGTCTA-1", "iM.data_GATCATGAGTGATCGG-1", "iM.data_TCGATTTGTTGCGTAT-1", "iM.data_TCACTCGGTATCACGT-1", "iM.data_TACATTCAGCGTACAG-1", "iM.data_TGAGCATAGAAGCGCT-1", "iM.data_CAGAGCCCAAGACGGT-1", "iM.data_AGGAAATAGCCTGTCG-1", "iM.data_CACTTCGAGAGTTGTA-1", "iM.data_ATTGGGTTCCCTCGTA-1", "iM.data_CACTGAAGTAGGTACG-1", "iM.data_GCGATCGTCTCCCAAC-1", "iM.data_CTCATCGTCTAGCCTC-1", "iM.data_TAGACCATCGGCTTGG-1", "iM.data_TCGTAGATCCTACAAG-1", "iM.data_GTAACCACATATACCG-1", "iM.data_ACGTTCCGTCCCGCAA-1", "iM.data_GAATAGATCACCTCAC-1", "iM.data_CTAGGTACAAGAATGT-1", "iM.data_CCTCCAAGTGTGACCC-1", "iM.data_GATGAGGTCTCCGTGT-1", "iM.data_CCACTTGGTCGGTACC-1", "iM.data_TCATGGAGTGAGCCAA-1", "iM.data_GTCACGGGTGGAAGTC-1", "iM.data_AGCATCATCTTACCAT-1", "iM.data_CAGTTAGTCGTTATCT-1", "iM.data_CCGTAGGCACAGTGAG-1", "iM.data_CCACCATGTAAGTTGA-1", "iM.data_TCATGGAGTGCTGATT-1", "iM.data_CTAACTTTCAGGAAAT-1", "iM.data_CAGCAGCTCTCTGACC-1", "iM.data_TCAAGACTCTGCACCT-1", "iM.data_CCTCTAGGTTGGGACA-1", "iM.data_AATGCCAGTATCACCA-1", "iM.data_TTCCGGTGTGAATAAC-1", "iM.data_TGTTCTAAGTGAGTGC-1", "iM.data_TCACGGGAGTCCTACA-1", "iM.data_GATTGGTAGGTAGATT-1", "iM.data_AGACAAAGTCAAGGCA-1", "iM.data_AATGGAAAGATTAGCA-1", "iM.data_TTCTTCCGTGGTAACG-1", "iM.data_GTAACACTCTGTGCTC-1", "iM.data_GAGTGAGTCTCGTGAA-1", "iM.data_ATTTCTGTCTAGGAAA-1", "iM.data_AGTGACTGTGCGACAA-1", "iM.data_GGTAATCGTTGTGTAC-1", "iM.data_CGTGTCTAGCTTCGTA-1", "iM.data_TTGAGTGGTGCACGCT-1", "iM.data_TGGTTAGAGCTTTCCC-1", "iM.data_CCGTGAGCAACGTATC-1", "iM.data_CTCAAGATCCCATTCG-1", "iM.data_CGGGTGTTCGAGCACC-1", "iM.data_TTCCACGGTCGTCATA-1", "iM.data_TGTGATGGTCTTTATC-1", "iM.data_TCGGGTGTCAATGCAC-1", "iM.data_GCCCAGAAGACTACCT-1", "iM.data_ATTTCTGAGATCGCTT-1", "iM.data_AAGACAAAGCGACCCT-1", "iM.data_CTGCTCATCTCAGGCG-1", "iM.data_ATCGCCTCAGGGCTTC-1", "iM.data_GGGTTTAGTATGAAAC-1", "iM.data_TCCCACATCACTCACC-1", "iM.data_GATAGCTAGGATAATC-1", "iM.data_GGTCTGGGTAACGATA-1", "iM.data_TTCCACGGTAATCAGA-1", "iM.data_AGAACAAGTACACGCC-1", "iM.data_AACAACCGTATATGGA-1", "iM.data_CGAGTTACAAGTACCT-1", "iM.data_AGCCACGGTACCATAC-1", "iM.data_GAATCGTGTGGCATCC-1", "iM.data_TGGTGATCACAGAGAC-1", "iM.data_TCTACCGGTAAGCAAT-1", "iM.data_AGGACGAAGTTTCGGT-1", "iM.data_CTTTCAAGTAAGCGGT-1", "iM.data_GTGTTCCCAGCTCATA-1", "iM.data_CATGAGTGTGAGCGAT-1", "iM.data_GGTTGTAAGATCCCGC-1", "iM.data_TGTTACTGTACCATAC-1", "iM.data_ACGTTCCAGGTGCTGA-1", "iM.data_GACTCTCGTGCCTATA-1", "iM.data_GCTTTCGCAAATTAGG-1", "iM.data_TTCTGTAAGCCGTTGC-1", "iM.data_GATCAGTCAAACGAGC-1", "iM.data_GATTGGTCACGTCGGT-1", "iM.data_GGCTTTCGTAAGTTGA-1", "iM.data_CGTTCTGCAGGCATTT-1", "iM.data_AAGACAAGTGCCGTTG-1", "iM.data_GCTTTCGGTTATCCAG-1", "iM.data_AACCATGGTAGTCTTG-1", "iM.data_GGAAGTGGTCCGTACG-1", "iM.data_TATCTGTAGCTCTTCC-1", "iM.data_CGCATAAGTGGGTCAA-1", "iM.data_TAGAGTCAGGACATCG-1", "iM.data_AATTCCTAGTTGCGAG-1", "iM.data_CTCATGCAGCCACCGT-1", "iM.data_CCCAACTTCGTAACCA-1", "iM.data_TGACAGTAGGCCTAGA-1", "iM.data_ATGCGATAGGCCTTCG-1", "iM.data_ACGGGTCTCGCTGACG-1", "iM.data_TCGAAGTGTATAGGAT-1", "iM.data_TTCTAGTAGATGTAGT-1", "iM.data_TCACTATAGTGACACG-1", "iM.data_GCTTGGGAGAAAGCGA-1", "iM.data_TAACCAGAGCTCTGTA-1", "iM.data_GAGCTGCAGTGGGAAA-1", "iM.data_TGGGCGTGTATCACGT-1", "iM.data_CCTCCAACATCTAACG-1", "iM.data_TCCTTCTAGCCTATTG-1", "iM.data_CCACGTTCATACTGAC-1", "iM.data_TGGAGAGTCCTTCTGG-1", "iM.data_TTGAACGAGACTCCGC-1", "iM.data_GGCAGTCTCTAGTGTG-1", "iM.data_TCATGCCAGAAATCCA-1", "iM.data_CTCAACCGTGTACATC-1", "iM.data_CATTCTATCGACCAAT-1", "iM.data_GAGTTGTTCATACGAC-1", "iM.data_TTTGTTGTCCTACGAA-1", "iM.data_GGGACTCGTTACTCAG-1", "iM.data_AACACACAGTGCGACA-1", "iM.data_TGATCAGGTATTTCTC-1", "iM.data_GAGTTGTCACACCTTC-1", "iM.data_CACTGAACAGGCGTTC-1", "iM.data_GAGTCTAGTACCGTCG-1", "iM.data_ATCACGAAGACGTCGA-1", "iM.data_GTCACGGGTCACCGCA-1", "iM.data_CATACAGTCCTTCACG-1", "iM.data_TATTGGGTCTGCGAGC-1", "iM.data_GATTTCTGTTGACGGA-1", "iM.data_ATTCATCGTAGCGTAG-1", "iM.data_CTTCAATAGACTCAAA-1", "iM.data_CTATCCGGTACTGCGC-1", "iM.data_AACCAACAGACTACGG-1", "iM.data_CGAGTTAAGCCGTAAG-1", "iM.data_ACAAAGAGTATTCCGA-1", "iM.data_TCCATCGGTCGGTGTC-1", "iM.data_CGTCCATTCCATTCAT-1", "iM.data_GTCGTAAAGGAGATAG-1", "iM.data_GAAACCTGTTCAGCTA-1", "iM.data_TGAGGGATCTTTCCGG-1", "iM.data_AGAGCAGTCCTCGCAT-1", "iM.data_ATCTTCATCAGACAAA-1", "iM.data_AAGTGAAAGAGCCATG-1", "iM.data_TCGATTTAGCACCGTC-1", "iM.data_GTGTGGCAGATACCAA-1", "iM.data_TGTCAGACATTGACTG-1", "iM.data_GGGACTCAGTGCCAGA-1", "iM.data_GATCATGAGATTGACA-1", "iM.data_AGAGCCCAGGCTGTAG-1", "iM.data_ACCAAACTCTACGGTA-1", "iM.data_GTAGAGGCAATCCAGT-1", "iM.data_GACTCTCGTGACTGAG-1", "iM.data_CACCGTTGTAACCAGG-1", "iM.data_CATGGATAGTACTGGG-1", "iM.data_AGGAAATAGAAGTCCG-1", "iM.data_GTGGAGACAAAGCTCT-1", "iM.data_AGGGTCCTCCGGACGT-1", "iM.data_CCTGTTGCAAGGATGC-1", "iM.data_CAGCCAGCAGATTAAG-1", "iM.data_CGATGGCTCCCTCGAT-1", "iM.data_CACGTGGCACGTAGAG-1", "iM.data_TGAGTCAGTTCTCCCA-1", "iM.data_GTGGGAAGTCAGGCAA-1", "iM.data_TGTGCGGAGCGGGTAT-1", "iM.data_CTGTGAATCGCTCCTA-1", "iM.data_AAGCATCGTAGCACAG-1", "iM.data_GTCGTAACAGAGACTG-1", "iM.data_TTCTTGATCTGGAAGG-1", "iM.data_ATCGGCGGTGATGTAA-1", "iM.data_TGCAGATGTGTAGTGG-1", "iM.data_AATGAAGGTGCCTATA-1", "iM.data_TCGATTTCAAAGACTA-1", "iM.data_TTGTGGACAAAGCGTG-1", "iM.data_ATTACTCGTAGATTAG-1", "iM.data_AAAGGTATCCATTTCA-1", "iM.data_TTTGTTGCATAGACTC-1", "iM.data_ATGTCCCGTTCGGTAT-1", "iM.data_GTCCCATTCCAAATGC-1", "iM.data_GACGTTAAGCTGCGAA-1", "iM.data_GGACGTCAGTCAGCGA-1", "iM.data_CACACAAGTGATCGTT-1", "iM.data_AATGGCTCAGTAGAGC-1", "iM.data_TTCTTCCTCGCCTAGG-1", "iM.data_TCGCAGGTCAACTCTT-1", "iM.data_AAGCGTTTCAACTACG-1", "iM.data_TCGGATACATTGACTG-1", "iM.data_CTCCGATCAGGCAATG-1", "iM.data_ACTTTGTGTACGCTAT-1", "iM.data_GTTGCGGGTGTACAGG-1", "iM.data_CTTCAATCATAGATCC-1", "iM.data_ACTACGAAGGTTCATC-1", "iM.data_GGGATGAAGACGGAAA-1", "iM.data_CCCGAAGCAACTCATG-1", "iM.data_ATAGACCAGGGCAGTT-1", "iM.data_AGGCCACAGGACCCAA-1", "iM.data_CACCAAACACGACGAA-1", "iM.data_GAGTGAGTCTCTCGCA-1", "iM.data_TACAACGTCAGGACGA-1", "iM.data_TACTTCAAGAGTGGCT-1", "iM.data_CGTCCATCATGGGCAA-1", "iM.data_CGGGCATAGAGTCCGA-1", "iM.data_GTAGAGGCAAAGGATT-1", "iM.data_CACCAAATCGTGTCAA-1", "iM.data_GTGCACGAGCGCGTTC-1", "iM.data_GCGTTTCAGTGACCTT-1", "iM.data_GGAATGGTCAGAGTGG-1", "iM.data_GCTTCACGTGAGCAGT-1", "iM.data_GGGCGTTTCGGCTTCT-1", "iM.data_AGGTCATTCCTATGGA-1", "iM.data_TCCTTTCTCCCTCTAG-1", "iM.data_CCTCAGTAGGATCATA-1", "iM.data_GTGTTAGTCACTACGA-1", "iM.data_TGAGCGCGTTGAGAGC-1", "iM.data_AATTCCTTCTAAGGAA-1", "iM.data_ATGGAGGGTCAACACT-1", "iM.data_ATCCATTAGGATTCCT-1", "iM.data_GATTCTTGTTGGGAAC-1", "iM.data_CCGGTAGCACTACCCT-1", "iM.data_CGGGTCACACCCTCTA-1", "iM.data_TCCGTGTCAAGCACCC-1", "iM.data_GTCACGGGTCCTGGTG-1", "iM.data_CGGAGAAGTGCTCTCT-1", "iM.data_TGCGATATCTCTATAC-1", "iM.data_GAGGGATTCTGAGCAT-1", "iM.data_TCGATTTCAAACCATC-1", "iM.data_TTCCTCTCACACAGAG-1", "iM.data_CGAGTGCGTACGTAGG-1", "iM.data_TCTTTGAGTTGCCTAA-1", "iM.data_CCCGAAGTCCACGAAT-1", "iM.data_AGGACTTAGTCTGGTT-1", "iM.data_GGCTTGGGTCGTGTTA-1", "iM.data_ATTGGGTGTCATTGCA-1", "iM.data_GTGGGAAGTTGGGACA-1", "iM.data_ATGAAAGCATATCTGG-1", "iM.data_AGGAGGTTCCATGAGT-1", "iM.data_CATCAAGTCTTAGGAC-1", "iM.data_GCGGATCAGCGGTAGT-1", "iM.data_AATGAAGCACGACTAT-1", "iM.data_GATTGGTGTGCTATTG-1", "iM.data_GGACGTCTCGCCTATC-1", "iM.data_TCTATCATCATCACTT-1", "iM.data_TTTCGATAGAGCTGCA-1", "iM.data_AAGACAACAACTGTGT-1", "iM.data_TGTCCACCACGTTGGC-1", "iM.data_AGCCAATTCGCTTGAA-1", "iM.data_CGTCCATAGCGGGTTA-1", "iM.data_AGCTACAAGCATCTTG-1", "iM.data_GGAGATGCAAGTGGAC-1", "iM.data_GCACATATCGATACAC-1", "iM.data_GCGTGCAGTACTTGTG-1", "iM.data_GGAGGTACAGACGATG-1", "iM.data_TTGGGATCAAGCTGCC-1", "iM.data_GTTCATTAGCTTAGTC-1", "iM.data_AAGGAATAGAGGGTAA-1", "iM.data_GCGAGAAGTCTTGCTC-1", "iM.data_GGGACTCCAGTCGCTG-1", "iM.data_GTTAGTGTCCGATTAG-1", "iM.data_CTGCAGGCAGCATGCC-1", "iM.data_CACGAATGTAGTCGGA-1", "iM.data_ATACCGATCAAATGAG-1", "iM.data_TACCTGCTCTTTGCAT-1", "iM.data_CTCCTCCTCAGGCGAA-1", "iM.data_AGAAGCGTCATGGAGG-1", "iM.data_CCAAGCGCAGCAGTTT-1", "iM.data_CTACAGAGTCTTAGTG-1", "iM.data_TTTCCTCCACTCAAGT-1", "iM.data_TTGCATTAGTCGTCTA-1", "iM.data_TGAGGAGTCAGAGTGG-1", "iM.data_ATCAGGTTCATTCACT-1", "iM.data_ACTTTGTAGGCAATGC-1", "iM.data_TCCGTGTTCGTTAGAC-1", "iM.data_ACCTGAACAAATTAGG-1", "iM.data_ACTTATCGTTAATCGC-1", "iM.data_GCTTTCGGTTAAGAAC-1", "iM.data_CGGGTCATCTACGCAA-1", "iM.data_TAATCTCAGCTCCACG-1", "iM.data_AGAAGCGAGTGCCTCG-1", "iM.data_GTGCGTGTCTTACACT-1", "iM.data_AGTCTCCGTGGACAGT-1", "iM.data_CACAGGCGTGGTGATG-1", "iM.data_TGGATCATCGTCACCT-1", "iM.data_GCTGCAGCATGCCGAC-1", "iM.data_ACATCGATCATGCTAG-1", "iM.data_GTCGAATCAACGGTAG-1", "iM.data_ACTATTCCAAAGAACT-1", "iM.data_ATGGTTGGTTCCGGTG-1", "iM.data_TCCATCGCAGCGACAA-1", "iM.data_CTTCCTTAGGTTCTTG-1", "iM.data_GTCATGACAAGTCATC-1", "iM.data_TCTTCCTGTTAGGAGC-1", "iM.data_TGGGATTCAAAGTGTA-1", "iM.data_GTAGAGGGTTTCCATT-1", "iM.data_GCTTGGGGTCCTGGTG-1", "iM.data_GCAACCGAGGATACCG-1", "iM.data_GAGTTACAGATAGCAT-1", "iM.data_ACTGTGAGTCATAGTC-1", "iM.data_ATGAAAGAGGCAGTCA-1", "iM.data_TGTCCCAGTCGGTGAA-1", "iM.data_TAAGCCACATACATCG-1", "iM.data_GGGTTTAAGGAGGGTG-1", "iM.data_CATTCTATCTTAGTTC-1", "iM.data_CTGTGAATCGTGGACC-1", "iM.data_CTGTGAAAGACTAGAT-1", "iM.data_CGTGATAGTGCGAACA-1", "iM.data_AAATGGAGTAGATTAG-1", "iM.data_GACCGTGAGTACCATC-1", "iM.data_AAGCGAGAGGTCACAG-1", "iM.data_CTCCCAATCGCTCTAC-1", "iM.data_TTGTTTGGTAGAGTTA-1", "iM.data_AGGCCACGTTCCCAAA-1", "iM.data_CGGGTGTAGAGGTTAT-1", "iM.data_GTGTGATGTCTACAAC-1", "iM.data_GTTCATTAGGGCAGAG-1", "iM.data_GTCATGAAGGCCTGCT-1", "iM.data_CTGCATCTCAAAGGTA-1", "iM.data_GTCGAATTCTGCTGAA-1", "iM.data_GTCTGTCCAAGAAACT-1", "iM.data_TGGGCGTAGACGTCCC-1", "iM.data_GTACAACTCCCAAGTA-1", "iM.data_TGTTCATGTCGCAGTC-1", "iM.data_TTTGATCCAAAGGAGA-1", "iM.data_CCCTAACCAGAGGGTT-1", "iM.data_GAACTGTGTGATGAAT-1", "iM.data_AGCTACACACAGGATG-1", "iM.data_GTTATGGCAACAAGAT-1", "iM.data_GCACTAAGTCTTCCGT-1", "iM.data_TCCGTGTCAACCGCTG-1", "iM.data_CTGTGGGGTAGTATAG-1", "iM.data_AAGCATCCATAATGAG-1", "iM.data_TCCAGAACACGCGTGT-1", "iM.data_CGGGTCAGTGTCATGT-1", "iM.data_AGTAGCTAGTAGCATA-1", "iM.data_CATAGACAGTACCGGA-1", "iM.data_CCTCCAACAATCACGT-1", "iM.data_TGAACGTTCTGAATGC-1", "iM.data_CAACAACAGGTAGGCT-1", "iM.data_GTTAGTGAGGCTAACG-1", "iM.data_AGAAGTATCGTGTTCC-1", "iM.data_TAGTGCACATCCAATG-1", "iM.data_GGCTGTGTCCATTTAC-1", "iM.data_AATGGAATCCACTTCG-1", "iM.data_TACAACGGTATCGCTA-1", "iM.data_CCTTCAGTCTGGGATT-1", "iM.data_AACACACGTCTAGTGT-1", "iM.data_TATCCTATCCCGTGAG-1", "iM.data_ACTTTGTAGTTCTCTT-1", "iM.data_AAGCATCTCCGACAGC-1", "iM.data_TAGCACATCCAGCTCT-1", "iM.data_TCTGGCTAGACTTGTC-1", "iM.data_CACTGGGAGTCTCTGA-1", "iM.data_ACGATGTAGCATGTTC-1", "iM.data_CGATGGCAGTGTTGTC-1", "iM.data_ATCGGATGTAACATAG-1", "iM.data_CTGTACCCACGCTGCA-1", "iM.data_GTCTGTCGTCAACCTA-1", "iM.data_CCACGAGGTAGCTGAG-1", "iM.data_TCACGGGTCGTACACA-1", "iM.data_AGTCACACAAACTCTG-1", "iM.data_TCTAACTTCTCATAGG-1", "iM.data_AGGGTCCAGAGAGTGA-1", "iM.data_TGAATGCGTCTGTAGT-1", "iM.data_TGGATCACAACGAGGT-1", "iM.data_AACGGGACAGCAGGAT-1", "iM.data_TTCATGTGTAGTAAGT-1", "iM.data_CAGATACTCGAGTACT-1", "iM.data_TGGTACAGTACTAGCT-1", "iM.data_AGATGCTGTTATGGTC-1", "iM.data_TGAGCATCAGGCATGA-1", "iM.data_CCCGAAGGTAGTGGCA-1", "iM.data_AACAAGAAGATCCCGC-1", "iM.data_CGATGGCTCTTCTGTA-1", "iM.data_TTTGGAGCATTCACCC-1", "iM.data_AGGGTGAAGGTGATCG-1", "iM.data_TTACGTTTCGTGCTCT-1", "iM.data_CGATGGCGTCCGGATC-1", "iM.data_CTTAGGAGTTGACGGA-1", "iM.data_GCGGATCAGGGCCTCT-1", "iM.data_CAACAGTTCTTGAGCA-1", "iM.data_CTATCTAGTGGCAACA-1", "iM.data_ACAGCCGTCATGCCGG-1", "iM.data_TCATTACTCAAGCCGC-1", "iM.data_AAAGGGCGTGTCGATT-1", "iM.data_GAGTTGTCACATACTG-1", "iM.data_CCTAAGACAATCGAAA-1", "iM.data_ATAGACCAGAGTGTTA-1", "iM.data_GCACGGTCAGTAACCT-1", "iM.data_GAATCGTCAGTTTCAG-1", "iM.data_CATTCTAAGTCATCCA-1", "iM.data_AGTGATCAGCCTTGAT-1", "iM.data_ATTCAGGTCCTTCGAC-1", "iM.data_ATCCGTCTCAACTGAC-1", "iM.data_TGCAGATCATCGTGCG-1", "iM.data_ACATCCCGTGCGTTTA-1", "iM.data_AATGGAAAGCGTTGTT-1", "iM.data_ATTCCTATCGTGTCAA-1", "iM.data_GTGACGCAGACATAAC-1", "iM.data_TCGGGCAAGACGGAAA-1", "iM.data_TTGGTTTTCTAGGAAA-1", "iM.data_ACAACCAAGTAACAGT-1", "iM.data_ATAGAGAGTCCAGCAC-1", "iM.data_AACCTGATCACCGACG-1", "iM.data_CATCGGGTCAACTACG-1", "iM.data_GCATGATCAATAACGA-1", "iM.data_AACAGGGAGATTCGAA-1", "iM.data_CCGTTCATCGTAGCTA-1", "iM.data_GAGAAATTCTCAGAAC-1", "iM.data_GAGATGGTCCTGGGTG-1", "iM.data_TATTGGGTCATCAGTG-1", "iM.data_CTCAATTCAACTTCTT-1", "iM.data_GGGTTATTCCCAACTC-1", "iM.data_TTCGGTCGTCCCACGA-1", "iM.data_CTCAATTCACAAATAG-1", "iM.data_GAGTCTAAGCGAATGC-1", "iM.data_CTGCTCACACGTCTCT-1", "iM.data_CTCATTATCGAGCACC-1", "iM.data_AAGCCATGTGGATGAC-1", "iM.data_TATTCCAGTCTACGAT-1", "iM.data_GACATCAAGGCTCTCG-1", "iM.data_ACTTAGGGTATTTCCT-1", "iM.data_TTCAATCGTCTCGGAC-1", "iM.data_CATGGTATCATGCAGT-1", "iM.data_TGTGTGATCTCATTAC-1", "iM.data_AGCGCCACAGTTAGAA-1", "iM.data_TCTCCGATCTGAATCG-1", "iM.data_GCGAGAAAGCACAAAT-1", "iM.data_GAGGCAAGTAATCAAG-1", "iM.data_GGTGTCGGTTTCGTGA-1", "iM.data_TCCCACAGTCGATTTG-1", "iM.data_AAAGTGACATCCGAAT-1", "iM.data_GGGCTACTCAAGTCTG-1", "iM.data_GTACAGTGTGGCTGAA-1", "iM.data_CTATCTATCTGGCCGA-1", "iM.data_GTTTGGATCTTGCGCT-1", "iM.data_CCACCATCAAATTGCC-1", "iM.data_AGGGTCCAGCCTTTGA-1", "iM.data_TCGTGGGTCAGAATAG-1", "iM.data_CCGTGAGTCTGCCTGT-1", "iM.data_ACTGCAAGTGGTCCCA-1", "iM.data_AGCCAATCAGTAGATA-1", "iM.data_CAATTTCTCGATTGGT-1", "iM.data_AGTCACACAGCTACTA-1", "iM.data_TTCCGGTGTATGGTAA-1", "iM.data_TGCGGCACATCATTTC-1", "iM.data_ACAACCATCGGATAAA-1", "iM.data_ATAGACCCAGGTCAAG-1", "iM.data_CTGCGAGCACCTGCGA-1", "iM.data_ATGGGTTCAAAGTGTA-1", "iM.data_TACGTCCAGATGGCAC-1", "iM.data_CGAAGTTAGTAAACGT-1", "iM.data_TTCTCTCTCTGCGTCT-1", "iM.data_TCATTCAGTCGCTTAA-1", "iM.data_CCACGTTGTTGGTAGG-1", "iM.data_TGCACGGGTTCAACGT-1", "iM.data_TGCACGGTCGCAATTG-1", "iM.data_TAGAGTCGTCATCGCG-1", "iM.data_ACGTCCTGTGCATCTA-1", "iM.data_GATTCTTTCGTGGCGT-1", "iM.data_AGCTCAAGTCGCTTGG-1", "iM.data_GAGTTGTGTGGAGGTT-1", "iM.data_TCGGTCTCAGCACCCA-1", "iM.data_AGAACAAAGGCATCGA-1", "iM.data_CCTCCAAGTACTTCCC-1", "iM.data_GAGAGGTGTCTGTCCT-1", "iM.data_TCGTCCAGTATGTGTC-1", "iM.data_GTCATCCAGTCATCGT-1", "iM.data_TTTACGTCATGAATCC-1", "iM.data_AAAGTGACACACCAGC-1", "iM.data_TACTTACAGCCGCTTG-1", "iM.data_TTTGTTGTCTTGATTC-1", "iM.data_GCACGGTAGGCATCTT-1", "iM.data_GTCGAATAGTAGACAT-1", "iM.data_CGTGAATTCAGTCACA-1", "iM.data_AAAGAACAGCGGGTAT-1", "iM.data_TCATGCCCACTGTGAT-1", "iM.data_CATTTCACATACTTTC-1", "iM.data_ATGAAAGCACTTACAG-1", "iM.data_ACCATTTGTTAATGAG-1", "iM.data_AGCATCAAGAATAGTC-1", "iM.data_ACAGAAAAGTCACGCC-1", "iM.data_TTTCAGTGTCTTAGTG-1", "iM.data_TAAGCGTCACATACGT-1", "iM.data_CGTAATGTCATCCTAT-1", "iM.data_TGCTTCGAGCACTCGC-1", "iM.data_AAACGAATCCTGCCAT-1", "iM.data_TGCGACGCACACGTGC-1", "iM.data_GATAGAACATTCTCTA-1", "iM.data_TACAACGTCGATGCTA-1", "iM.data_CAATTTCCAGACACAG-1", "iM.data_CAAGCTAGTATCAGGG-1", "iM.data_TCCAGAAAGTAGGTTA-1", "iM.data_TCATGAGGTAGCGTCC-1", "iM.data_AGTTCGAGTTGCGGCT-1", "iM.data_TGCGGGTGTACGGTTT-1", "iM.data_CTCAGTCGTTAGAAAC-1", "iM.data_CTGGACGGTCGTCGGT-1", "iM.data_CCCTTAGTCGAACCTA-1", "iM.data_TACAGGTGTCGAGATG-1", "iM.data_TCACATTTCTGATTCT-1", "iM.data_CACTGTCTCGGAACTT-1", "iM.data_TCAGGTATCAATCGGT-1", "iM.data_CATTGTTGTGCCCACA-1", "iM.data_AGCCAATAGAGTCCGA-1", "iM.data_TAAGCACCATTGTACG-1", "iM.data_TCTAACTAGGCCCACT-1", "iM.data_AAGTGAAAGGCACGAT-1", "iM.data_GTCTAGAAGGCTCAAG-1", "iM.data_TCTTCCTCAAGACGGT-1", "iM.data_CCCGGAACAACAAGAT-1", "iM.data_GCGGAAAAGAAAGCGA-1", "iM.data_TCATACTTCCCATGGG-1", "iM.data_TGTCCACTCTACTTCA-1", "iM.data_GACTCTCAGCCGATAG-1", "iM.data_TGCTCGTCAATTGGTC-1", "iM.data_GTACAGTGTTGCGAAG-1", "iM.data_AGCCAATCACTTGGCG-1", "iM.data_CAAGACTGTCTGTGTA-1", "iM.data_ACTTCGCTCCTAGCCT-1", "iM.data_TGATTCTTCGGCTATA-1", "iM.data_TCTTTGACAACGAGGT-1", "iM.data_ACCTACCTCGCTGACG-1", "iM.data_TTTCACACATAATGAG-1", "iM.data_GGTCACGGTGCCTTCT-1", "iM.data_GGTTAACTCAAGAGGC-1", "iM.data_TCATGTTCAAGAAATC-1", "iM.data_CTCATTACACTTGAAC-1", "iM.data_TCGGATATCCCTTTGG-1", "iM.data_TCAGCAAGTCAGTCCG-1", "iM.data_CGGCAGTCACTGAGGA-1", "iM.data_GACCCTTCACAACCGC-1", "iM.data_GGAGCAATCCATTGGA-1", "iM.data_TACCTCGGTCTGTGTA-1", "iM.data_AACAACCTCTGTGTGA-1", "iM.data_TCCTTTCTCGAGTCTA-1", "iM.data_TAATCTCTCCACAGGC-1", "iM.data_TGCGATATCCTCTCGA-1", "iM.data_AAGTCGTCATTCAGCA-1", "iM.data_AGTAGCTGTATTTCCT-1", "iM.data_TGTAACGGTCATTCCC-1", "iM.data_GAATCGTTCCTCTAAT-1", "iM.data_CACAACATCTTAGCTT-1", "iM.data_CTAACCCCACGACGAA-1", "iM.data_AGAGAGCCATACAGGG-1", "iM.data_TGCTTGCTCCCAAGTA-1", "iM.data_GATTCTTTCACCTTGC-1", "iM.data_GCACGGTCACCTTCGT-1", "iM.data_TTGAACGGTGCACGCT-1", "iM.data_TGAATGCAGCTCCCTT-1", "iM.data_TTGATGGCAGCACGAA-1", "iM.data_GACAGCCCACTGATTG-1", "iM.data_TTAGGCATCCATTGGA-1", "iM.data_CACTGAAGTATCATGC-1", "iM.data_CGATCGGAGTATGATG-1", "iM.data_TGATTTCGTTTGGCTA-1", "iM.data_ACTATGGAGCCACCGT-1", "iM.data_CACTGGGAGCCTGTGC-1", "iM.data_CCCGGAAAGCACCGAA-1", "iM.data_ACCTGTCTCGTGTGAT-1", "iM.data_AGGTGTTAGACCATAA-1", "iM.data_GCCAACGCAGTGACCC-1", "iM.data_AGGATAACAGGTTTAC-1", "iM.data_CGGACACTCCCATTTA-1", "iM.data_GTAGTACAGGGTCACA-1", "iM.data_CCTTCAGTCGCAATGT-1", "iM.data_CAATCGAAGGTACAGC-1", "iM.data_AACGTCAAGTCATCGT-1", "iM.data_GGTGTCGTCAACTGGT-1", "iM.data_ATCACAGGTGGCCTCA-1", "iM.data_ATTTCTGCAGCAGTCC-1", "iM.data_CAGTGCGCACCAGCCA-1", "iM.data_CTTGATTTCTAGACAC-1", "iM.data_TGAGTCACAAGTGGGT-1", "iM.data_TTTCGATAGTCATAGA-1", "iM.data_TCAAGCACACCTTCGT-1", "iM.data_TACTTACGTGCACATT-1", "iM.data_TTACCGCCAGTGAGCA-1", "iM.data_GGTAGAGTCCCGTGTT-1", "iM.data_TCGACCTCATTAGGAA-1", "iM.data_AAACGCTCAAATTAGG-1", "iM.data_AACGTCAAGACAACTA-1", "iM.data_GGGAGATGTTTAGAGA-1", "iM.data_ACACCAAGTCATCTAG-1", "iM.data_AGCGTATAGAGTCTGG-1", "iM.data_GTTGCTCTCTATTGTC-1", "iM.data_TCCTAATCAATTCTCT-1", "iM.data_AGATGCTGTCTGTCCT-1", "iM.data_CCGGACAGTCCACACG-1", "iM.data_GGTAATCCAGGAAGTC-1", "iM.data_GTTTGGAAGCATGCGA-1", "iM.data_GTTGAACAGGCACAAC-1", "iM.data_TCGTCCAGTACTCGCG-1", "iM.data_AAATGGATCGCTCTAC-1", "iM.data_CACTGAAAGCTCATAC-1", "iM.data_GAAATGATCAGGTGTT-1", "iM.data_CCTCAACGTAGTCCTA-1", "iM.data_TGTGAGTAGTCGCTAT-1", "iM.data_TATCTGTCAAGCCCAC-1", "iM.data_GTGGCGTCAGCAAGAC-1", "iM.data_TCGGGTGAGCGACTTT-1", "iM.data_GTAAGTCAGTTGTAGA-1", "iM.data_AGAGCAGTCTGCGATA-1", "iM.data_CTTCTAAAGGTCTGGA-1", "iM.data_AACCTTTGTTATCTTC-1", "iM.data_AACACACAGCGTTCCG-1", "iM.data_ACTGATGAGGTCTGGA-1", "iM.data_TACCTGCGTGCATGAG-1", "iM.data_GGTGAAGTCGGAGTAG-1", "iM.data_CTACTATTCCTTATAC-1", "iM.data_GGGCTACGTCTCGGAC-1", "iM.data_AGGAATAGTCTGTCAA-1", "iM.data_CTCCCTCTCTCCCTAG-1", "iM.data_GAGGCCTAGCTAAGTA-1", "iM.data_AGACCCGAGCGCCCAT-1", "iM.data_AGAACAACATGACGGA-1", "iM.data_GGGCCATGTCGTATTG-1", "iM.data_GGGACTCTCCGTGGGT-1", "iM.data_TCTGGCTTCAACGTGT-1", "iM.data_TAGGGTTCACAGACGA-1", "iM.data_TAACACGGTGATACTC-1", "iM.data_CCTCAGTGTCACAATC-1", "iM.data_TCGGGACGTTACCTTT-1", "iM.data_TTCAGGACACTATCGA-1", "iM.data_AATCGTGGTGCATGAG-1", "iM.data_CGCCATTTCTGCCTGT-1", "iM.data_TGCACGGTCCGTGACG-1", "iM.data_ATTGGGTCAGAGCTAG-1", "iM.data_GGTGGCTTCCCTATTA-1", "iM.data_AGGTCTAGTGCTCTCT-1", "iM.data_GACGCTGTCGTCTAAG-1", "iM.data_TGGATGTCACGTACTA-1", "iM.data_AGCGTATAGTCGAAAT-1", "iM.data_ATTGGGTAGCTTAGTC-1", "iM.data_AGTCAACGTCCAAAGG-1", "iM.data_ATGAAAGGTTGGGTTT-1", "iM.data_TGACTCCAGGCAGGTT-1", "iM.data_CTCAAGATCTTACGTT-1", "iM.data_AGATGCTGTTAGGGTG-1", "iM.data_ATCGCCTAGCCATGCC-1", "iM.data_CAGCCAGCAAGCAATA-1", "iM.data_ACAGGGACAGCTGTCG-1", "iM.data_GCGAGAACAGTCGCAC-1", "iM.data_TCAAGCACAACAAGAT-1", "iM.data_CCGTTCACAAACCACT-1", "iM.data_TGGAGAGGTTAAGACA-1", "iM.data_TTTACCACACGACCTG-1", "iM.data_CAACCAAGTCCCGGTA-1", "iM.data_TTTGGAGAGTCCTGTA-1", "iM.data_CCCTGATCAAGTGCTT-1", "iM.data_AAAGGATTCATCACTT-1", "iM.data_ACGTCCTCACGTGTGC-1", "iM.data_GTCACGGGTATTAAGG-1", "iM.data_CAACCTCGTTTCTTAC-1", "iM.data_ATGATCGCAGTGGCTC-1", "iM.data_ATTCTTGGTCGCTTAA-1", "iM.data_CGAAGTTGTCGCCACA-1", "iM.data_AAATGGACAGTGTACT-1", "iM.data_TGATTTCGTCGGTAAG-1", "iM.data_CAGCACGTCTTCTTCC-1", "iM.data_CGTTAGACAAGCTCTA-1", "iM.data_TTCAGGAGTGCTAGCC-1", "iM.data_TCATCCGCATCGATGT-1", "iM.data_CCGGTGATCGAGATGG-1", "iM.data_AAAGGGCAGGTTACAA-1", "iM.data_TCATGGAGTTAATCGC-1", "iM.data_AAATGGATCATGCTAG-1", "iM.data_GTACAGTCAACTGCTA-1", "iM.data_TGCATCCGTGGGTCAA-1", "iM.data_CTACTATCAACGATTC-1", "iM.data_GTAGAGGAGGTGGTTG-1", "iM.data_GCACGTGGTTCGGACC-1", "iM.data_TAAGTCGGTCTTGCTC-1", "iM.data_TTCCTCTCAGGTAGTG-1", "iM.data_ACTGCAAGTCCGGACT-1", "iM.data_TGTTTGTAGACAGCTG-1", "iM.data_TTACCATCAGAACCGA-1", "iM.data_CGGGTCAAGAGAGGGC-1", "iM.data_GTCAAACCAGGTCAAG-1", "iM.data_CTCCGATAGCGAGTCA-1", "iM.data_GATTGGTCAGGAGGTT-1", "iM.data_GCATTAGTCCGTGTCT-1", "iM.data_TGAGGTTCACAAATAG-1", "iM.data_CTAGACATCGGTAGAG-1", "iM.data_GATTGGTAGGCGTCCT-1", "iM.data_GTCTTTAGTGTAGGAC-1", "iM.data_AGAACAAGTTTGTGGT-1", "iM.data_GTCATCCCAGATACTC-1", "iM.data_AGGAGGTGTATGAGCG-1", "iM.data_CCTTTGGGTGTGAATA-1", "iM.data_CCTAAGACACGTAGAG-1", "iM.data_TCAGTTTCAGAATTCC-1", "iM.data_AGCGCCAAGAAGCCAC-1", "iM.data_TTTGACTAGGGTTAAT-1", "iM.data_AAAGAACAGAGAGCCT-1", "iM.data_ATTCTTGAGGATGTTA-1", "iM.data_GAGTGTTTCCGCGATG-1", "iM.data_GGGACAACAAGTGCAG-1", "iM.data_ACTGATGCAATAACCC-1", "iM.data_ACACCAATCTTACACT-1", "iM.data_CGATGGCTCGTACCTC-1", "iM.data_GGGTCACAGGGCGAGA-1", "iM.data_TCATTGTCATAGAATG-1", "iM.data_CTCCATGTCAGACATC-1", "iM.data_CGGAGAAAGCGATTCT-1", "iM.data_TCATTTGCAAACTCGT-1", "iM.data_GTAGGAGAGTACCATC-1", "iM.data_CACATGACACGCGCTA-1", "iM.data_AAGACAACACATGGTT-1", "iM.data_AGAAGTATCCCATTTA-1", "iM.data_GAAGCGATCGACGTCG-1", "iM.data_ACGATCATCAACCTTT-1", "iM.data_AGCGATTGTCGAATGG-1", "iM.data_TGTCAGAAGCGACTAG-1", "iM.data_TCAGCAACAGAGTGAC-1", "iM.data_ACCTGAATCTGGAGAG-1", "iM.data_TGTGATGCAGGTGGAT-1", "iM.data_TCGACGGTCAGGCGAA-1", "iM.data_TGGGCGTTCTTACGTT-1", "iM.data_GTCGTAACATCACGGC-1", "iM.data_CGTCAAATCCTCCACA-1", "iM.data_GTCCTCAGTGATACAA-1", "iM.data_GAAGGACAGTCAGGGT-1", "iM.data_GCATCGGGTTGCGGAA-1", "iM.data_CCTCTCCTCAGCTGAT-1", "iM.data_GGGTTATCATGTGCTA-1", "iM.data_TTTATGCCAAGACCTT-1", "iM.data_TCGGATATCTCGGCTT-1", "iM.data_CGTCCATGTTAGTCGT-1", "iM.data_TCACACCTCTCGACCT-1", "iM.data_TACCTCGGTTCAAAGA-1", "iM.data_CCACGTTGTCTGTGGC-1", "iM.data_TCTTTGACAGCATGCC-1", "iM.data_TTCCTCTTCATTATCC-1", "iM.data_TTCGATTGTTATTCTC-1", "iM.data_GCTACCTAGAGAGAAC-1", "iM.data_CAACAACAGATAACAC-1", "iM.data_TAGTGCACATAACAGA-1", "iM.data_GGAACCCGTATCTTCT-1", "iM.data_ATTGGGTAGAGGTCAC-1", "iM.data_CAACGATTCGCCTCTA-1", "iM.data_CAGTTAGGTCGGTGTC-1", "iM.data_CCGGACACAACCAATC-1", "iM.data_TGGTAGTCAATGGGTG-1", "iM.data_GTGGGAAGTCATCGCG-1", "iM.data_TGAGGAGGTGAGTTTC-1", "iM.data_CAACCTCTCAACGTGT-1", "iM.data_GGTAATCAGTCAAGCG-1", "iM.data_GGCAGTCAGGTGCTGA-1", "iM.data_CAGCAGCTCCATTCGC-1", "iM.data_CCTCCTCTCCTAGAGT-1", "iM.data_TTTGACTAGTGTTCCA-1", "iM.data_GGGAGATCAGGCCTGT-1", "iM.data_GCCTGTTAGTGGTTCT-1", "iM.data_AGGGCTCAGTCATAGA-1", "iM.data_ATTCCCGAGAGGGTCT-1", "iM.data_CCTCATGTCTATTCGT-1", "iM.data_CCTCACAGTCGTTGCG-1", "iM.data_GTATTGGTCACCGGGT-1", "iM.data_TCTAACTGTACTAAGA-1", "iM.data_AGGGTCCCAGGAGGTT-1", "iM.data_TATCAGGCAACCGGAA-1", "iM.data_GGAATGGAGGAAGTCC-1", "iM.data_ATGAGTCGTGCCGGTT-1", "iM.data_ATTCCCGCACCAGTAT-1", "iM.data_AACACACTCGGCTTCT-1", "iM.data_CATTGAGCAGGTTTAC-1", "iM.data_CACGGGTGTAGCGTCC-1", "iM.data_CACTGGGAGACATATG-1", "iM.data_GATCACAAGGCGTTGA-1", "iM.data_GTCCACTTCCTAACAG-1", "iM.data_AGTCACACAACAAGAT-1", "iM.data_TCGGGTGCAGTAACGG-1", "iM.data_GATGATCCATGTGGCC-1", "iM.data_ACGGGTCCATATAGCC-1", "iM.data_TCGCACTGTATCGTTG-1", "iM.data_CTTCGGTAGCCTGACC-1", "iM.data_AGGTTACTCAAACGAA-1", "iM.data_ACACCAATCCGGACGT-1", "iM.data_TTGCCTGCAATAGAGT-1", "iM.data_CATGGATCAGCTCATA-1", "iM.data_GTTACGAGTCTCCTGT-1", "iM.data_CTCATCGTCTGGCTGG-1", "iM.data_CGAGGAATCGCATAGT-1", "iM.data_TCGTCCAAGTTGCATC-1", "iM.data_TTCATTGTCGACACTA-1", "iM.data_GGTGGCTCATCGAACT-1", "iM.data_AGATCGTCAGGACTAG-1", "iM.data_CAGCCAGGTGAACGGT-1", "iM.data_TCAGTTTCAGAGGACT-1", "iM.data_GAGCCTGCAGGACATG-1", "iM.data_GCATCTCAGCAGTAAT-1", "iM.data_TCAAGTGGTATCACCA-1", "iM.data_TTTACCAGTCTGCATA-1", "iM.data_AAGACAAGTAGACGTG-1", "iM.data_GCATGATGTAGCGTCC-1", "iM.data_CCCTAACCAGTGTACT-1", "iM.data_AGCCAATTCCGTAGTA-1", "iM.data_AATTTCCTCTTGAGCA-1", "iM.data_TGTAAGCTCTCAACCC-1", "iM.data_TCCTCTTAGGCCGCTT-1", "iM.data_CGGGTCAGTCAGGTAG-1", "iM.data_TCTGTCGGTAACAGTA-1", "iM.data_GGGACTCTCGGCCAAC-1", "iM.data_GTTGTGACACCAGTTA-1", "iM.data_CGCATGGAGACTTCCA-1", "iM.data_CAGATACTCCGGACTG-1", "iM.data_TAGCACAAGTGATTCC-1", "iM.data_GCAGTTACAACTACGT-1", "iM.data_TAAGTCGAGCGTTAGG-1", "iM.data_TAACCAGCAGAGCTAG-1", "iM.data_GCGTTTCAGGAACATT-1", "iM.data_TTCAGGACAATGCAGG-1", "iM.data_TCTGTCGAGACTGGGT-1", "iM.data_ACGGGTCCAATTCTTC-1", "iM.data_ACGTAGTTCTGCATAG-1", "iM.data_GTCATCCAGTTGCTGT-1", "iM.data_CAGTTAGAGAGTCAGC-1", "iM.data_ACTTTGTAGTCTGGTT-1", "iM.data_TAAGCACAGTGATAAC-1", "iM.data_AGACACTCATGTCAGT-1", "iM.data_ACTTTCAAGGAAGTGA-1", "iM.data_TAGTGCAAGGGTAATT-1", "iM.data_TGCAGTATCTCGGGAC-1", "iM.data_TCCGAAAAGTGCGCTC-1", "iM.data_AGTAGTCGTCGCACGT-1", "iM.data_TTCCTCTCAACACAAA-1", "iM.data_ATCCATTCAGATCATC-1", "iM.data_TGAGACTGTGAACGGT-1", "iM.data_TGATTTCCAGCCCACA-1", "iM.data_TAGACCAAGATGCTGG-1", "iM.data_GTTAGTGAGCACTCCG-1", "iM.data_CGCATAATCTGGTGGC-1", "iM.data_CGAGTTAAGGAACATT-1", "iM.data_CGAGTTAAGCCAACCC-1", "iM.data_CAAGGGAAGCCTTCTC-1", "iM.data_GCGTTTCAGATTGATG-1", "iM.data_CAACGATGTGTAGCAG-1", "iM.data_CGAGAAGAGGCCTTCG-1", "iM.data_CTGCGAGTCCGTAGGC-1", "iM.data_TGCTGAACACTTGGCG-1", "iM.data_TCTGTCGCAAGATTGA-1", "iM.data_AACCCAACATACCATG-1", "iM.data_ATCGTCCGTGTCATCA-1", "iM.data_TGCACGGTCACTGGTA-1", "iM.data_CACCAAAGTAATGCTC-1", "iM.data_CGGGTGTCACGACAAG-1", "iM.data_GGGTAGATCTGAGTCA-1", "iM.data_CTAAGTGAGGTCGACA-1", "iM.data_CCAATTTTCGCCAACG-1", "iM.data_GGAATGGCAACACAGG-1", "iM.data_CATCGTCAGGTGTGAC-1", "iM.data_TTGGGCGTCGGCTTGG-1", "iM.data_AGGTAGGAGTGTCATC-1", "iM.data_AGTAACCCACGTACAT-1", "iM.data_GAAGGGTGTGAGGCAT-1", "iM.data_GTAGGTTTCATACGAC-1", "iM.data_ATGGAGGCACTCACTC-1", "iM.data_CATACCCGTATTGACC-1", "iM.data_TCAAGACCAGAAGCGT-1", "iM.data_TCCGGGATCTCACGAA-1", "iM.data_AGAGCCCAGGCGAACT-1", "iM.data_AGGAGGTGTGTTTCTT-1", "iM.data_ACGTCCTTCTTGGGCG-1", "iM.data_CGCCATTTCACTGTTT-1", "iM.data_ATACCTTTCTGTAAGC-1", "iM.data_TTTATGCCAAAGGGCT-1", "iM.data_TCCGGGAGTAGTGCGA-1", "iM.data_GAGACCCAGCGATGAC-1", "iM.data_TAACACGGTAGTCTGT-1", "iM.data_GTGGTTATCGGACTGC-1", "iM.data_AACAAGAAGTATGCAA-1", "iM.data_TATTGGGTCCGGCAAC-1", "iM.data_TCAGCAATCAACCCGG-1", "iM.data_CCGGACAAGAAAGTCT-1", "iM.data_AGCGATTAGGCTTAGG-1", "iM.data_CACAGGCGTTCCCAAA-1", "iM.data_GCGTTTCTCAAGTCTG-1", "iM.data_TATTGGGGTATGTGTC-1", "iM.data_ATTTCACGTAGACTGG-1", "iM.data_CAGATTGGTTGATGTC-1", "iM.data_GAGTTTGGTTGCCGCA-1", "iM.data_TGTCCACTCGAGATGG-1", "iM.data_TCTACATGTTCCTAGA-1", "iM.data_GATCGTAGTTCCATTT-1", "iM.data_AACCTGAAGCTGGCCT-1", "iM.data_CCCTCAAAGTCTCGTA-1", "iM.data_TGTTGGAGTACAGTAA-1", "iM.data_ATGGGTTGTTGCCAAT-1", "iM.data_AGTCTCCAGTTCTACG-1", "iM.data_AAGTACCGTCCAGCCA-1", "iM.data_GTAACACGTACGCTAT-1", "iM.data_GTTGAACAGAGAGTTT-1", "iM.data_ACTTCGCGTCACCACG-1", "iM.data_AACAAGAGTATCCTTT-1", "iM.data_ATGTCTTTCATTTGGG-1", "iM.data_CTCATGCGTAGGACTG-1", "iM.data_TTCTTGATCAAGTGGG-1", "iM.data_CTCTCAGCATAGGAGC-1", "iM.data_TTATTGCGTTCCGGTG-1", "iM.data_GTGCTTCTCTCGCCTA-1", "iM.data_GAAGGACCAGGACGAT-1", "iM.data_TTGACCCCATACGCAT-1", "iM.data_GTGAGCCTCTTCCCAG-1", "iM.data_ATGTCCCTCCGAAATC-1", "iM.data_CCTACGTTCTCTGAGA-1", "iM.data_CATACCCGTTCTAACG-1", "iM.data_AAGACAAGTACCCAGC-1", "iM.data_GCAGCTGTCGTTCAGA-1", "iM.data_GTGTTAGCACAGTCGC-1", "iM.data_ATTCATCCACACTGGC-1", "iM.data_CAACGATAGTCGCGAA-1", "iM.data_CACGGGTGTGCTGCAC-1", "iM.data_ATCGATGTCCGGCAAC-1", "iM.data_ATGACCATCACTGCTC-1", "iM.data_GAACGTTCAGTCGGTC-1", "iM.data_GTGTGATTCCTCAGAA-1", "iM.data_TCATGCCCAATGACCT-1", "iM.data_TGAGGGATCCATACTT-1", "iM.data_ATACCTTAGTGGCAGT-1", "iM.data_GGTAACTGTGAAGCTG-1", "iM.data_TAACACGCACATCCCT-1", "iM.data_CGAAGGAGTGATACAA-1", "iM.data_AGACCATGTTTCGACA-1", "iM.data_TCAAGCAAGGCTCCCA-1", "iM.data_GTTTGGACATTGCTGA-1", "iM.data_GCATGATCAGTCAGAG-1", "iM.data_GAGATGGTCGAGTCCG-1", "iM.data_GGACGTCTCTGCCCTA-1", "iM.data_CATCGGGTCTGCATGA-1", "iM.data_ATCGGATTCTATGCCC-1", "iM.data_TCTACATGTTCGGACC-1", "iM.data_AGCCACGAGGGAGATA-1", "iM.data_TACTTGTAGTGTCATC-1", "iM.data_CATGGTAGTCCTCAGG-1", "iM.data_GGGTCTGAGAAGCCAC-1", "iM.data_TCTTTGACAGAGGACT-1", "iM.data_TTTCCTCGTGGCGTAA-1", "iM.data_TAAGTCGCAAGATGTA-1", "iM.data_CTCCATGTCGGTCGAC-1", "iM.data_TATCTGTAGCTGCCTG-1", "iM.data_TGTAGACTCTGCATAG-1", "iM.data_TCCCATGGTCGGCCTA-1", "iM.data_GCAACATCAAGATGGC-1", "iM.data_TCGAAGTCAGAGATGC-1", "iM.data_ATAGGCTTCGAAGCAG-1", "iM.data_TCCTCGATCTCTTCAA-1", "iM.data_TTGCTGCTCGTTCCTG-1", "iM.data_TTCGATTCAGTCTACA-1", "iM.data_AGGATCTGTAGCGTTT-1", "iM.data_CGAGGCTTCGACATTG-1", "iM.data_TCCTTTCGTAGTTCCA-1", "iM.data_TCTTCCTAGTCTGCGC-1", "iM.data_GTGAGCCAGCACCTGC-1", "iM.data_AATTCCTGTAAGTCAA-1", "iM.data_CTCCTCCCAAACTCGT-1", "iM.data_ATTCCTACACAAGCAG-1", "iM.data_CTCTCGACATATCTGG-1", "iM.data_CAAGGGAAGTAGTCTC-1", "iM.data_GTTAGACTCGCCTTTG-1", "iM.data_CGTAAGTAGTTCCATG-1", "iM.data_AAGACAATCGATGCTA-1", "iM.data_GATGATCAGACTAGAT-1", "iM.data_CTCGAGGTCGACACTA-1", "iM.data_TCTTAGTTCTAGTTCT-1", "iM.data_CACTAAGGTCACTGAT-1", "iM.data_GTCTAGAAGTTGTCGT-1", "iM.data_TTGCATTGTGAAAGTT-1", "iM.data_TTTGTTGGTGAATTGA-1", "iM.data_AGACACTGTTTGTTGG-1", "iM.data_CTCAGAATCAAGGACG-1", "iM.data_AGACACTTCGTTAGTG-1", "iM.data_GTAAGTCTCTCTTCAA-1", "iM.data_TACGTCCCAACTAGAA-1", "iM.data_TGGAACTTCCTTCTAA-1", "iM.data_CAGATTGCAGCTGTAT-1", "iM.data_TCAATCTTCAAGTGTC-1", "iM.data_TCGTCCAGTTGCAAGG-1", "iM.data_GTCCTCACACAATTCG-1", "iM.data_CAGCCAGAGACTCATC-1", "iM.data_GAGTTACCATCAGTGT-1", "iM.data_AGCGCCATCCGTGTGG-1", "iM.data_CCGAACGAGTTTGTCG-1", "iM.data_GCATTAGTCTATTCGT-1", "iM.data_TGTGATGCAGTAGTTC-1", "iM.data_TACGCTCGTACGTGAG-1", "iM.data_TGTGTGACAAGTTTGC-1", "iM.data_AGGCTGCTCGCGCCAA-1", "iM.data_ATCTTCAGTAGGCAAC-1", "iM.data_CCTAAGAAGTCTCTGA-1", "iM.data_TCACGCTGTCGTACAT-1", "iM.data_AGACACTCAATTGCCA-1", "iM.data_AGTCATGTCTATGTGG-1", "iM.data_CGAAGGAGTCTGCCTT-1", "iM.data_CGCAGGTCACAAGTGG-1", "iM.data_TATCTTGGTGCTCTTC-1", "iM.data_CCGATCTGTTCGTACA-1", "iM.data_TAGCACATCACGATCA-1", "iM.data_CTGCCATGTGGATACG-1", "iM.data_ACCATTTTCGTCCATC-1", "iM.data_TCCGTGTTCATTGCGA-1", "iM.data_AGGTCTACAAATCAGA-1", "iM.data_AGGCTGCTCACGATAC-1", "iM.data_AGCGCCAAGTGCTCAT-1", "iM.data_TTCGCTGCAGGCAATG-1", "iM.data_TAGGGTTTCGACATCA-1", "iM.data_TTGCGTCTCATCCCGT-1", "iM.data_AGTACCATCGCCTTTG-1", "iM.data_AGATAGACAGCCTACG-1", "iM.data_GATTCGACAAGTAGTA-1", "iM.data_AGAACCTGTTTAGTCG-1", "iM.data_TGCATGAGTAGTATAG-1", "iM.data_CATTCATAGATGTAGT-1", "iM.data_GCAGCTGAGTCACTGT-1", "iM.data_ATTCTACTCGCTGACG-1", "iM.data_GGTGTCGGTCTTTCAT-1", "iM.data_AACAAGAAGCTGTCCG-1", "iM.data_AGGCCACAGATGATTG-1", "iM.data_ACTTAGGAGCGTTACT-1", "iM.data_TGTTCTATCGACATAC-1", "iM.data_TCATTCATCTTACCGC-1", "iM.data_TAGGTTGAGTACCCTA-1", "iM.data_TATCAGGTCATGCCCT-1", "iM.data_CATACAGGTCGCAGTC-1", "iM.data_ATCATTCGTGGGTTGA-1", "iM.data_CTTACCGCACCTTCGT-1", "iM.data_ACTTATCCACAAGTTC-1", "iM.data_TACAGGTCAGGAGACT-1", "iM.data_AGGATCTCAAGGCAAC-1", "iM.data_CATGGATTCGGTCATA-1", "iM.data_GTTACGACATGCTGCG-1", "iM.data_TGTGCGGGTCAGACGA-1", "iM.data_CCCTAACTCATCACAG-1", "iM.data_TATTCCACAAGTTTGC-1", "iM.data_TGTTGGAGTTCATCGA-1", "iM.data_AGTCATGGTATACCTG-1", "iM.data_GTCTGTCGTCATAGTC-1", "iM.data_ATGAAAGAGATTTGCC-1", "iM.data_TGTTGGACATGGCCCA-1", "iM.data_CATGGTAAGGGCTAAC-1", "iM.data_GCACGTGAGTATCCTG-1", "iM.data_TTGGATGCAGTGTGGA-1", "iM.data_TTGGATGCATCTGCGG-1", "iM.data_GAGTTACTCGGCGATC-1", "iM.data_TCGATTTAGTGTTCCA-1", "iM.data_TCAATTCTCTCTCGCA-1", "iM.data_TTGGGTAGTTCCGCGA-1", "iM.data_TTCTGTACACGCGTGT-1", "iM.data_AACCTTTTCGTCGCTT-1", "iM.data_GTATTGGTCTGAGCAT-1", "iM.data_CTACCCACAGAGACTG-1", "iM.data_CAAGCTAAGCCGAATG-1", "iM.data_GAATCGTGTCTCTCCA-1", "iM.data_GTCTGTCAGGCTAAAT-1", "iM.data_GGAGGTAGTCCGTTTC-1", "iM.data_TTTGTTGTCTTAGCCC-1", "iM.data_TGATTTCAGCCTTGAT-1", "iM.data_CCAAGCGGTGGAGAAA-1", "iM.data_ATGAGGGCAGTCCGTG-1", "iM.data_GTTACGATCTCGAACA-1", "iM.data_TCCGGGAGTCAAAGAT-1", "iM.data_GTAACCATCTTCTGTA-1", "iM.data_GATCCCTGTCATCCGG-1", "iM.data_CGGGCATTCTAGGCCG-1", "iM.data_GCAGTTAGTACCATAC-1", "iM.data_CACTAAGTCGTTGTTT-1", "iM.data_CCACAAAGTATGTGTC-1", "iM.data_TCGCAGGTCACTTGGA-1", "iM.data_TTTACTGCAAATGGCG-1", "iM.data_TCATGAGTCGATTGAC-1", "iM.data_GACTTCCGTTCAGCGC-1", "iM.data_AGAGCAGGTGAGCCAA-1", "iM.data_GAAATGACAGCCATTA-1", "iM.data_ACCTGAACACTGAGTT-1", "iM.data_AATTCCTAGACGGTTG-1", "iM.data_GAGTCATTCCATTTGT-1", "iM.data_ACTTATCTCTATCGCC-1", "iM.data_TACAACGTCTGAGAGG-1", "iM.data_TCGACCTCATGCTGCG-1", "iM.data_TCTGGCTTCCGTTGGG-1", "iM.data_TGACAGTTCGATTCCC-1", "iM.data_AACAAAGGTACTGACT-1", "iM.data_CGAGTGCTCGCACGAC-1", "iM.data_TACCTCGGTCACATTG-1", "iM.data_GCACGTGGTGCATACT-1", "iM.data_TCTGGCTGTGATCGTT-1", "iM.data_AATGGCTTCTGGACTA-1", "iM.data_CTCAACCCATAGATGA-1", "iM.data_CCGTTCATCTCGGGAC-1", "iM.data_GATCAGTCATCTGGGC-1", "iM.data_TTTGGTTAGACGCATG-1", "iM.data_GTTTACTAGAAGCTGC-1", "iM.data_GTGCGTGGTCATCTAG-1", "iM.data_AATGGAATCCCGAGGT-1", "iM.data_CTCATTAGTTGACTAC-1", "iM.data_TCTTAGTTCGGCATAT-1", "iM.data_GGGACTCTCACTGAAC-1", "iM.data_CACCGTTAGATCGCTT-1", "iM.data_ATTCTACAGAAGTCAT-1", "iM.data_TAGGGTTGTACACTCA-1", "iM.data_CATGGATGTTAGGGAC-1", "iM.data_ACAAGCTAGTAGAATC-1", "iM.data_GTGCGTGGTATGGTAA-1", "iM.data_GTAGAGGGTCCTGAAT-1", "iM.data_ATCCACCTCAAGCTGT-1", "iM.data_GATAGAAAGAAGGCTC-1", "iM.data_AGAACAATCTTGTTAC-1", "iM.data_CTGAATGGTTGCAACT-1", "iM.data_GGTGATTGTACCATAC-1", "iM.data_TTGTTTGTCGCAGTTA-1", "iM.data_GCTTGGGCAACCGTGC-1", "iM.data_ACTGCAATCAGGCGAA-1", "iM.data_ATTTACCCAAAGTATG-1", "iM.data_CCCTCAAGTATTGAGA-1", "iM.data_GAAGAATTCTTTGATC-1", "iM.data_TGCAGGCAGAAGCGCT-1", "iM.data_TCCAGAATCCCTTTGG-1", "iM.data_CCACGAGCACTATCCC-1", "iM.data_CTTCGGTGTCTTGCGG-1", "iM.data_CCTCCTCTCGATTCCC-1", "iM.data_TCCTTTCAGTACGAGC-1", "iM.data_TTGCATTAGCAGTACG-1", "iM.data_CAGCGTGTCAAGCCGC-1", "iM.data_ATGGAGGGTAGGTGCA-1", "iM.data_CTTCCTTCAAGAGCTG-1", "iM.data_AGACTCATCCGTTGGG-1", "iM.data_AAGTCGTCACACAGCC-1", "iM.data_AGTTCCCGTCCACAGC-1", "iM.data_CTAACCCGTACCTGTA-1", "iM.data_AGGACGAGTTTGGAGG-1", "iM.data_ACCCTTGGTTACGCCG-1", "iM.data_ACTTCGCAGACTCATC-1", "iM.data_ATGAGGGTCGGAAACG-1", "iM.data_AACCCAAGTAGACGGT-1", "iM.data_TAGACTGCAGTAACCT-1", "iM.data_CCCTTAGCAGTCTTCC-1", "iM.data_GACGTTATCTCGCTTG-1", "iM.data_GAGCTGCAGTAGCATA-1", "iM.data_TGTGGCGTCGTCGCTT-1", "iM.data_AATTCCTAGTAGGAAG-1", "iM.data_ACGGGTCCAGGCAATG-1", "iM.data_GACTCTCGTGCAACGA-1", "iM.data_ATATCCTCATGAGGGT-1", "iM.data_GGAATGGTCAAGCTGT-1", "iM.data_CATCGCTAGCGCTGCT-1", "iM.data_ATTATCCAGCCTCATA-1", "iM.data_TGCTCCAAGAGGTCGT-1", "iM.data_TGCATGAAGGCATGCA-1", "iM.data_CCGGACACACCAAAGG-1", "iM.data_TCATGGATCCATCTAT-1", "iM.data_CTTCTAATCGGCTGGT-1", "iM.data_ATTCAGGGTACGATGG-1", "iM.data_AGATGAAGTACGTGAG-1", "iM.data_ATTCAGGAGGGCAGGA-1", "iM.data_ATTACTCAGGGCCAAT-1", "iM.data_CAACAGTAGTATCCTG-1", "iM.data_AGCGCTGAGCATATGA-1", "iM.data_CCAATTTAGTTGTAAG-1", "iM.data_ACGTAGTCACTAGAGG-1", "iM.data_AATGGAATCCCGAAAT-1", "iM.data_GAAGAATTCGGACCAC-1", "iM.data_CGCAGGTGTTCAGGTT-1", "iM.data_TTCCTAAGTTATTCCT-1", "iM.data_GGTAACTCAGCTATTG-1", "iM.data_TCACATTGTAGTGATA-1", "iM.data_GTGTTAGGTGCCTACG-1", "iM.data_ACTTATCCACTCGATA-1", "iM.data_GTAGGAGTCGTGGAAG-1", "iM.data_TTTCAGTGTGATTCTG-1", "iM.data_GCTTCACGTCTACAAC-1", "iM.data_CTCAACCGTCTGATCA-1", "iM.data_GTAATCGTCTTCGTAT-1", "iM.data_GGCTTTCAGTTCTCTT-1", "iM.data_GAGTTTGTCATTATCC-1", "iM.data_GTTATGGGTTCGTACA-1", "iM.data_ACCTGTCAGGATACGC-1", "iM.data_TAATTCCAGGCTCTCG-1", "iM.data_GTCTGTCTCCTTGGAA-1", "iM.data_CGTGCTTTCCTAGCTC-1", "iM.data_AGCGCCACAAATTGGA-1", "iM.data_GACTGATTCTAAGCGT-1", "iM.data_TTCAGGATCTACTTCA-1", "iM.data_GGGTCTGGTGCCCGTA-1", "iM.data_TTCCACGCAAGGGCAT-1", "iM.data_GGGTTTACACCAGCTG-1", "iM.data_TCGCTTGGTGCCTATA-1", "iM.data_CATTCATTCCCGTTCA-1", "iM.data_ATCACAGTCCATTTGT-1", "iM.data_CTACAGACACGCAAAG-1", "iM.data_TAGGAGGTCATGACAC-1", "iM.data_GGGTCACGTGAGCGAT-1", "iM.data_AGAGCAGCACCGTGCA-1", "iM.data_TTCAATCCACTAGGCC-1", "iM.data_CTGGTCTAGGGCTAAC-1", "iM.data_TTACCATAGCTTAAGA-1", "iM.data_CACGTGGTCACACCCT-1", "iM.data_ATCACTTAGTTAGAAC-1", "iM.data_CAAGGGAGTCAGGAGT-1", "iM.data_TTACCGCCAGAGGAAA-1", "iM.data_GCATGATAGGCATGGT-1", "iM.data_TTTCCTCCAGCGTGCT-1", "iM.data_TAGACCAGTCCTTGTC-1", "iM.data_ACTGTCCCAACTCATG-1", "iM.data_TAGGTTGTCCTTATCA-1", "iM.data_TTACTGTCAACGTAAA-1", "iM.data_ATCACAGAGACGGATC-1", "iM.data_CACGGGTGTATACCTG-1", "iM.data_CAATGACTCGATACAC-1", "iM.data_TGTACAGAGTTCGGTT-1", "iM.data_ATTACTCGTCTCCTGT-1", "iM.data_CATTCTATCGCAGATT-1", "iM.data_CCTCTAGAGCAATTCC-1", "iM.data_AGGTTACTCCGGTAAT-1", "iM.data_AAAGGGCGTCGAACAG-1", "iM.data_CAACCTCGTAAGCGGT-1", "iM.data_AAACGCTCAACAAGTA-1", "iM.data_ATGCATGGTCAGGTGA-1", "iM.data_GGGATCCGTATATGGA-1", "iM.data_CATTGTTGTAGCTAAA-1", "iM.data_TTGCCTGGTGGATCAG-1", "iM.data_TACACCCAGCATAGGC-1", "iM.data_AAGTCGTAGCACTTTG-1", "iM.data_GCCCGAACAGGCATGA-1", "iM.data_CATTGTTAGATAGTCA-1", "iM.data_GTTCCGTCAGTTTCAG-1", "iM.data_TGTGCGGTCCTGTTAT-1", "iM.data_ACGCACGCATGGCTGC-1", "iM.data_TGAGGGATCCGTCCTA-1", "iM.data_AGAGCAGTCGAGCTGC-1", "iM.data_TCACGGGGTGCCCACA-1", "iM.data_TATCCTAGTTCAGTAC-1", "iM.data_ACTTTGTTCTGCGGAC-1", "iM.data_TGTGTGATCGTCAAAC-1", "iM.data_TGATGGTAGGCCACTC-1", "iM.data_TCCTCTTGTGTATACC-1", "iM.data_GGTTGTAAGTATTAGG-1", "iM.data_TTCTTCCGTTTGAACC-1", "iM.data_GTAACACTCCTCACTG-1", "iM.data_GCCCAGACATACGCAT-1", "iM.data_TGTGCGGTCATTTGCT-1", "iM.data_CAACCTCAGTAGGCCA-1", "iM.data_AGGATCTCAATAGAGT-1", "iM.data_GGTAGAGAGGAAGAAC-1", "iM.data_GGGATGATCCATCCGT-1", "iM.data_GTTGTCCTCTATCCAT-1", "iM.data_GTCCCATGTTCGGTAT-1", "iM.data_TTTATGCCAATACCTG-1", "iM.data_AGAAATGCATGAGGGT-1", "iM.data_GTGACGCCACGTACTA-1", "iM.data_TAAGTCGTCTCGTGGG-1", "iM.data_GCTGCAGGTACAACGG-1", "iM.data_CCACGAGTCACTCCGT-1", "iM.data_AGGCATTGTGTGACCC-1", "iM.data_GCAGGCTCATCATTGG-1", "iM.data_GACTATGCAGGGATAC-1", "iM.data_CATGCAAAGTTGTAGA-1", "iM.data_ATCCATTAGGCTAGCA-1", "iM.data_AGGACTTCAGTGGCTC-1", "iM.data_CGAAGTTCAAAGGAGA-1", "iM.data_TCGCAGGCATGTGGCC-1", "iM.data_AGTCAACTCCAACTGA-1", "iM.data_CGCATAAGTATGCTAC-1", "iM.data_TTTACTGGTGATAGAT-1", "iM.data_GGTTCTCTCCGCACTT-1", "iM.data_TCTCACGCATATACCG-1", "iM.data_GACTGATGTTCCGCAG-1", "iM.data_GAAGGGTTCGATGCAT-1", "iM.data_AACAAGAGTTTACTGG-1", "iM.data_TTCATTGCACTTTATC-1", "iM.data_AGTACTGGTAGCACAG-1", "iM.data_GATGATCAGTTTGAGA-1", "iM.data_TCATACTCAGTCGTTA-1", "iM.data_TTCCTTCCAGGAATCG-1", "iM.data_CCTGTTGTCTACACAG-1", "iM.data_TCAGTTTAGACTTCGT-1", "iM.data_ACTGATGTCAAGAGGC-1", "iM.data_TCCGAAATCGCACGAC-1", "iM.data_TACCTGCTCGTTGTAG-1", "iM.data_CGGAACCTCGTCTCAC-1", "iM.data_ACTCCCAGTATACCCA-1", "iM.data_GGCAGTCTCTAGTACG-1", "iM.data_GGGTGTCGTCAAAGTA-1", "iM.data_AATCGTGGTAGCTCGC-1", "iM.data_CAAAGAATCTATTTCG-1", "iM.data_ACGTTCCAGTTCAACC-1", "iM.data_CAGCAATAGTCTAACC-1", "iM.data_ATGAGTCGTTAAGGGC-1", "iM.data_GGTTGTAAGTGCAGGT-1", "iM.data_ATCGTAGCAAGTGTCT-1", "iM.data_TTGTTGTCAGCTACTA-1", "iM.data_TTCTGTAAGCCACAAG-1", "iM.data_CTTGAGACATAAGCAA-1", "iM.data_TCCTCCCAGAATCGAT-1", "iM.data_TCATCATGTGTGTCGC-1", "iM.data_ATAGGCTCAATTGCGT-1", "iM.data_GCCAGGTGTAGGGTAC-1", "iM.data_AGCATCACATCACGGC-1", "iM.data_ACGGAAGGTGAAGCTG-1", "iM.data_GCTGAATGTCCTCAGG-1", "iM.data_CCAATGACAGTGAGCA-1", "iM.data_CTGGACGCAACTTGCA-1", "iM.data_CTGTGGGGTCAGACGA-1", "iM.data_TGTTCATCATGTGGCC-1", "iM.data_TGCCGAGTCTGCCTGT-1", "iM.data_TCAAGACAGCCTGAGA-1", "iM.data_ACACCAAAGCGTTCAT-1", "iM.data_TGAGCATCAGGCCTGT-1", "iM.data_GGGAGTAAGTAGACCG-1", "iM.data_GAGTGTTGTTGTAGCT-1", "iM.data_AGGGCTCCACAAACGG-1", "iM.data_ATTACTCTCCTTATCA-1", "iM.data_TCAATCTTCAGCCCAG-1", "iM.data_CTCAATTGTTGAGTCT-1", "iM.data_ACTTATCGTCGTACAT-1", "iM.data_GGGCGTTTCGCAATGT-1", "iM.data_AGGTTACGTGATGTAA-1", "iM.data_CCAAGCGAGGTCGCCT-1", "iM.data_ATCAGGTTCAGACCGC-1", "iM.data_AGCTTCCGTCTACGAT-1", "iM.data_TATTCCATCCGACATA-1", "iM.data_CTCTCAGGTAGCTTAC-1", "iM.data_ACGGTCGGTGTTAAAG-1", "iM.data_TCCAGAAAGACGCCAA-1", "iM.data_AGTGTTGCACAGCTGC-1", "iM.data_CTGTACCGTCAACACT-1", "iM.data_CACAGATTCCGCATAA-1", "iM.data_TATCCTATCATGTCAG-1", "iM.data_TCTATCATCTTTCCAA-1", "iM.data_ACTGTGATCTCGCCTA-1", "iM.data_TAACGACTCTTCTGGC-1", "iM.data_CACTAAGCACTACCGG-1", "iM.data_ACCCAAAAGGGACCAT-1", "iM.data_ATCCACCGTTGCCAAT-1", "iM.data_TCCCATGGTACAAAGT-1", "iM.data_TCATACTTCCCATAGA-1", "iM.data_ATCACGATCAATCCGA-1", "iM.data_TCAGTTTCAAGACTGG-1", "iM.data_GACGTTAGTTAGCTAC-1", "iM.data_GGACGTCCACTTCCTG-1", "iM.data_CTAACCCAGGGAGGTG-1", "iM.data_TGGTGATCATCATTGG-1", "iM.data_ATTCAGGCAGTAGGAC-1", "iM.data_GATAGAAGTGGATCAG-1", "iM.data_TAAGTCGGTCCACTTC-1", "iM.data_AGCTCAATCCAGTGTA-1", "iM.data_GACTTCCGTTCTCTCG-1", "iM.data_GGTTCTCAGAGGCGTT-1", "iM.data_TCAAGTGCAAACTCTG-1", "iM.data_GAGTTGTTCAACTCTT-1", "iM.data_TCCACCAGTTCTCCTG-1", "iM.data_TTCTTGATCTTCGGAA-1", "iM.data_ATTCCCGGTCGCGTCA-1", "iM.data_TACGGTAGTGCTCTCT-1", "iM.data_CTCCAACGTGCATACT-1", "iM.data_CGTCAAAAGCTCTTCC-1", "iM.data_GTCGCGATCCTGTTAT-1", "iM.data_TGGAGGACAGCTACAT-1", "iM.data_TGACGCGGTTAGTCGT-1", "iM.data_GTCATTTTCACCACAA-1", "iM.data_CCGGACACAGTCGCTG-1", "iM.data_ACAACCAGTGGACAGT-1", "iM.data_AACCAACTCGCAGAGA-1", "iM.data_GACTGATTCACCACAA-1", "iM.data_CCTCAGTCAGCTACTA-1", "iM.data_GATCCCTGTGTTGACT-1", "iM.data_AAAGTCCGTTGCCATA-1", "iM.data_TCGTAGAGTCTACGAT-1", "iM.data_AGTGATCGTGTCGCTG-1", "iM.data_GTGTTAGTCTAGATCG-1", "iM.data_GAAATGATCTGGTTGA-1", "iM.data_CAGGCCACAGGTTCCG-1", "iM.data_ACTACGAGTAATTGGA-1", "iM.data_AGTTAGCAGCTCCACG-1", "iM.data_TCGAACATCTGACCCT-1", "iM.data_GCCAGCAGTTTCAGAC-1", "iM.data_TGTGGCGGTTTCGTAG-1", "iM.data_ACTATTCAGGTTAGTA-1", "iM.data_AGGGTTTTCCATCTAT-1", "iM.data_CATAAGCAGTTGCCTA-1", "iM.data_GTTACAGGTTTGGCTA-1", "iM.data_GCAACATTCCATGCAA-1", "iM.data_ACAAGCTCAGATTCGT-1", "iM.data_AACAGGGTCCCACAGG-1", "iM.data_TTGGATGGTTGGCTAT-1", "iM.data_TACCTGCCATACAGGG-1", "iM.data_GAAGAATCACCGTCTT-1", "iM.data_AGTCTCCTCTCGCTTG-1", "iM.data_AGGCTGCCAGCGAACA-1", "iM.data_TCCTTCTTCTCGAGTA-1", "iM.data_GGAGATGTCCCAGGCA-1", "iM.data_CTCCCAACATGTGACT-1", "iM.data_TGAGACTAGATCGCTT-1", "iM.data_CGGGCATAGAATCCCT-1", "iM.data_ACCAAACAGCCAGACA-1", "iM.data_ATGATCGGTCGATTTG-1", "iM.data_TGTAAGCTCAAGCTGT-1", "iM.data_TCAGTCCAGTGGAATT-1", "iM.data_GTGGCGTAGCCTATTG-1", "iM.data_TCAAGCAGTCGCCACA-1", "iM.data_TAACTTCGTGTCTAAC-1", "iM.data_TAGACCAGTAGCTGCC-1", "iM.data_ACCCTTGAGTCATCCA-1", "iM.data_AGACAAACATGTGCCG-1", "iM.data_TACATTCTCCCTCATG-1", "iM.data_AACCAACGTCGTACTA-1", "iM.data_CGCGTGAGTTAATCGC-1", "iM.data_ATAGAGAAGACATATG-1", "iM.data_TGATGCACATTGTGCA-1", "iM.data_GATCAGTTCCCTCTCC-1", "iM.data_AGTCTCCGTCGATGCC-1", "iM.data_GACTATGAGCTACTAC-1", "iM.data_CTCAGGGGTGATAGAT-1", "iM.data_AATGAAGAGAGAGCCT-1", "iM.data_CACCAAAGTGATCGTT-1", "iM.data_TGGTACAGTCTTCAAG-1", "iM.data_GACGTTACATCAGCTA-1", "iM.data_CTCCATGTCTTGTTAC-1", "iM.data_CTGGACGCATACACCA-1", "iM.data_AGTCTCCGTCTCGCGA-1", "iM.data_GTATTTCTCCTCTCTT-1", "iM.data_ATTCAGGGTCGAATTC-1", "iM.data_ATGAGTCGTACTGGGA-1", "iM.data_AGCATCATCTGTCCGT-1", "iM.data_GGTCACGCACCCGTAG-1", "iM.data_AGTGTTGAGCACTCGC-1", "iM.data_TACTGCCTCCAACTAG-1", "iM.data_TCGGTCTAGTCTCGTA-1", "iM.data_TCATCCGGTGTTCAGT-1", "iM.data_CATCGCTTCTTCTAAC-1", "iM.data_TTCTTGACAGATGCGA-1", "iM.data_TCATATCAGAGCCGTA-1", "iM.data_GTCAAGTTCTTAGCCC-1", "iM.data_ACGTACACAAATCAAG-1", "iM.data_GATGGAGCATTGTACG-1", "iM.data_CATCGCTCATGACGTT-1", "iM.data_TCACGCTGTGCTTCAA-1", "iM.data_TGCACGGCACCAGCGT-1", "iM.data_CAGCGTGTCTTTGCGC-1", "iM.data_CTTCAATGTGTCTTCC-1", "iM.data_TACTGCCCACAGGATG-1", "iM.data_TTGATGGCACGAGGTA-1", "iM.data_CGGCAGTGTCCGGTCA-1", "iM.data_CTGAGGCAGTATGAAC-1", "iM.data_TTTGTTGAGTCATGGG-1", "iM.data_AAAGGATAGCTGACAG-1", "iM.data_CCTAAGACAACTGCTA-1", "iM.data_CCCTCTCAGTAGGTTA-1", "iM.data_CGTGAATCACACACGC-1", "iM.data_CGTGCTTGTGTACAGG-1", "iM.data_TCAGTTTCAAGCGAGT-1", "iM.data_AGATAGAGTCTCAGAT-1", "iM.data_AGCCAATGTAGAATAC-1", "iM.data_TGCTCGTCACGACGTC-1", "iM.data_TTGTTTGGTCCGGCAT-1", "iM.data_GTAAGTCCAACTAGAA-1", "iM.data_CAAGCTAAGTCCCGAC-1", "iM.data_CATCCCAAGCACTCTA-1", "iM.data_CGAGGCTAGTTACTCG-1", "iM.data_TGGGCTGCACATATGC-1", "iM.data_TTCCTTCTCGTGTGAT-1", "iM.data_ATTTCACGTATCGCAT-1", "iM.data_CTCCGATAGAAGAGCA-1", "iM.data_TGTTTGTCATCTTAGG-1", "iM.data_GCAACCGTCAGCAATC-1", "iM.data_CCTTGTGAGGACCCAA-1", "iM.data_GCAGCTGAGCGTTCCG-1", "iM.data_GTGAGCCTCAGGAACG-1", "iM.data_ACTATTCTCCCAAGCG-1", "iM.data_TCACTATTCGAGAGAC-1", "iM.data_TCGAACAAGTGGATAT-1", "iM.data_TTCTTGAGTGAGTAAT-1", "iM.data_GAGGCCTGTAGCTGCC-1", "iM.data_AGGCCACAGAGTTGCG-1", "iM.data_CCTCTCCAGTAGACCG-1", "iM.data_CTGCCATCAACGACAG-1", "iM.data_TAACACGAGTTACGTC-1", "iM.data_AGGCATTAGGGCTGAT-1", "iM.data_AACAGGGTCTGACAGT-1", "iM.data_AGGAATAGTCTACAAC-1", "iM.data_TCCTTTCAGCGCAATG-1", "iM.data_GTTACAGGTCATCTAG-1", "iM.data_ATAGGCTAGATTGATG-1", "iM.data_CTGGACGGTCGCATTA-1", "iM.data_TCAGTTTTCATCACCC-1", "iM.data_AGTAGTCCATAGACTC-1", "iM.data_ATGCGATGTTGGAGGT-1", "iM.data_CATCGCTGTAATACCC-1", "iM.data_CTAACCCCACATACTG-1", "iM.data_TGAGGTTGTGGTAACG-1", "iM.data_TAAGCGTAGGGTTAGC-1", "iM.data_CAATTTCCAGTAACCT-1", "iM.data_CATGAGTAGTAGCCAG-1", "iM.data_GCCAACGTCTGGCCGA-1", "iM.data_TCGCTCACACAATGTC-1", "iM.data_ATGAAAGTCGCCAGTG-1", "iM.data_GTATTTCAGGTCCAGA-1", "iM.data_TACTTCATCCGCACGA-1", "iM.data_CATAAGCCACATGGTT-1", "iM.data_TAATTCCCAGCTTTGA-1", "iM.data_TTCCAATGTACGAGCA-1", "iM.data_AGATGAAAGTGTTCCA-1", "iM.data_CCCTTAGCAAACGAGC-1", "iM.data_TCATCATCAATCTCGA-1", "iM.data_GTGGAAGCATTACTCT-1", "iM.data_CAAGGGAGTTGCCGAC-1", "iM.data_GGCTGTGAGCCGCTTG-1", "iM.data_ACACAGTCACGCGTGT-1", "iM.data_ATCATTCCAGAGCTAG-1", "iM.data_CTTCCGACAACGACTT-1", "iM.data_TCTCCGAGTACATACC-1", "iM.data_ACGTACACACTTTAGG-1", "iM.data_TTCAATCGTATCAGCT-1", "iM.data_ATGGATCAGACGACGT-1", "iM.data_AGTCACATCGGTGAAG-1", "iM.data_AGGTCATCATAGGCGA-1", "iM.data_GCACATATCACATTGG-1", "iM.data_CCTCATGTCGAAATCC-1", "iM.data_ACGATCACAGGTGGAT-1", "iM.data_CTCAACCTCCCATTTA-1", "iM.data_ACCTGTCTCGTTGTAG-1", "iM.data_TCAGGTATCTGGGCAC-1", "iM.data_TCCCAGTAGGGTTGCA-1", "iM.data_GACTCTCTCTACTGCC-1", "iM.data_TCGTCCACATGTTTGG-1", "iM.data_CTACTATTCCTGTACC-1", "iM.data_GTCAAACCAGGCCTGT-1", "iM.data_TCATTCAAGCTTCTAG-1", "iM.data_AATGAAGAGACATAGT-1", "iM.data_CCTCCAAAGATGACCG-1", "iM.data_TAGACTGCAGAGGCAT-1", "iM.data_CATGGTATCTGGTGCG-1", "iM.data_AGTTAGCAGGCGAACT-1", "iM.data_TCGACCTGTCTGTGTA-1", "iM.data_CTGTGAACACTTCAGA-1", "iM.data_GGGACAACAGCTACTA-1", "iM.data_TCACATTTCTGCTAGA-1", "iM.data_ACTATCTAGTAGCAAT-1", "iM.data_TGCTCCATCGAACACT-1", "iM.data_TCCTAATTCGTTCAGA-1", "iM.data_GGTGGCTCAGAATTCC-1", "iM.data_CCTGCATGTGGAGAAA-1", "iM.data_TTGGATGTCCTTCTAA-1", "iM.data_GAGGGATAGCCTGCCA-1", "iM.data_TACCTGCGTCATAACC-1", "iM.data_CCCTAACTCTTCTGGC-1", "iM.data_CATGCTCAGAAACTCA-1", "iM.data_CCCGAAGCAGCAGTGA-1", "iM.data_AAAGAACCACTCGATA-1", "iM.data_ACTGTCCCAGTCACGC-1", "iM.data_AGTACTGGTCGTATGT-1", "iM.data_TTCTTGAGTGCTGTCG-1", "iM.data_CTCACTGGTAGATCCT-1", "iM.data_TGCAGTAAGCCTGACC-1", "iM.data_TGAGGAGAGACCTTTG-1", "iM.data_GTTCTATCATACTTTC-1", "iM.data_AGGAAATTCCACAGCG-1", "iM.data_GGGCTACTCGTGGAAG-1", "iM.data_CCGGGTACAGCTGGTC-1", "iM.data_TAGGTTGCAGCGAACA-1", "iM.data_ATCCCTGAGGACTTCT-1", "iM.data_TTCACGCCATGTCAGT-1", "iM.data_GGTGGCTTCGCACTCT-1", "iM.data_AAGACAAAGTTGCATC-1", "iM.data_TCGCACTTCACTACTT-1", "iM.data_GAATAGACACCGTGCA-1", "iM.data_TACCGAATCACCTGTC-1", "iM.data_AGGCCACAGTAATACG-1", "iM.data_CAATCGAAGAATCTAG-1", "iM.data_GTTAGACTCTTGCAAG-1", "iM.data_AGGCCACCAAGTGCTT-1", "iM.data_TGGTGATGTGAGCAGT-1", "iM.data_TCATCCGTCGACCACG-1", "iM.data_CATCAAGGTGATGGCA-1", "iM.data_GTGAGTTTCTGTTGGA-1", "iM.data_TGGAGGATCAGTGATC-1", "iM.data_ATCACGACACACGTGC-1", "iM.data_ATTCAGGTCACTCACC-1", "iM.data_CTAACCCGTTGTGTAC-1", "iM.data_CCTCAGTTCTCATGCC-1", "iM.data_GGGTATTTCAATCCGA-1", "iM.data_ATGGGTTTCATGAAAG-1", "iM.data_CCTCCAACACAGTCAT-1", "iM.data_GCAACCGTCTGTACAG-1", "iM.data_GACAGCCCAGTCGAGA-1", "iM.data_ACGTAACGTAGTCTGT-1", "iM.data_TCTGGCTCACCAGACC-1", "iM.data_GAGTTACCAGCTCCTT-1", "iM.data_AATGACCGTCCGAAAG-1", "iM.data_TCACTCGGTCACGCTG-1", "iM.data_AGGCCACTCATTTCGT-1", "iM.data_CACTGGGAGCTGCCTG-1", "iM.data_GGTGGCTGTTAAAGTG-1", "iM.data_CTCAGAATCGTGCTCT-1", "iM.data_CGTGCTTGTGTGGACA-1", "iM.data_GAGTGAGGTCGGTGTC-1", "iM.data_TCACGCTCATGTGTCA-1", "iM.data_AAGACTCTCAAGAGTA-1", "iM.data_CCCTCAAGTTTGCAGT-1", "iM.data_GTAGAAAAGCCTGTCG-1", "iM.data_TGACTCCAGCAATTCC-1", "iM.data_CCGTAGGCAGATCCTA-1", "iM.data_TCCTCTTGTCGTATGT-1", "iM.data_GTGATGTCAGGAAGTC-1", "iM.data_GTCTGTCGTCGTAATC-1", "iM.data_GCAACCGGTGGATCGA-1", "iM.data_GTTCATTTCCCGTGTT-1", "iM.data_GAGCCTGGTCAGGTAG-1", "iM.data_CCGTTCAAGTCCCAAT-1", "iM.data_CAACAGTGTGGCTTAT-1", "iM.data_AAGATAGGTAGACACG-1", "iM.data_TAGAGTCTCGGCTCTT-1", "iM.data_AACCCAACAAGGCGTA-1", "iM.data_CATTGAGTCGTGGCTG-1", "iM.data_GAAGGACAGGTCGTAG-1", "iM.data_GACTCAATCTGGCCAG-1", "iM.data_TCATTCATCTATGTGG-1", "iM.data_AGGGCTCAGCATACTC-1", "iM.data_GTTATGGAGTCTAGCT-1", "iM.data_CATCCCAAGAAATTCG-1", "iM.data_ATGCGATGTAGCTTTG-1", "iM.data_AGCCAATTCGGTTCAA-1", "iM.data_GACTCTCTCCGTAGGC-1", "iM.data_GTGACGCCACACGGAA-1", "iM.data_ACAACCACACACAGCC-1", "iM.data_CACGTTCTCGGCATTA-1", "iM.data_TGTAAGCCAACACAAA-1", "iM.data_TACAGGTAGCTCAGAG-1", "iM.data_TCAATCTAGTAATTGG-1", "iM.data_TCATGAGAGTAGCAAT-1", "iM.data_GGTCACGTCAACTGGT-1", "iM.data_GGGATCCGTGCATTTG-1", "iM.data_CTGAGGCGTTGTTGAC-1", "iM.data_CTCAAGACAACGCCCA-1", "iM.data_CTGGTCTGTAGGATAT-1", "iM.data_AGATAGATCTATCCAT-1", "iM.data_CCTCATGTCAAGGTGG-1", "iM.data_AGAACCTCAGGGAATC-1", "iM.data_TAAGCCATCTCGTGAA-1", "iM.data_CTCACTGGTAATACCC-1", "iM.data_GTTCGCTTCCGCTGTT-1", "iM.data_TTGGGATTCAGACTGT-1", "iM.data_GCATGATTCAGCACCG-1", "iM.data_CGTCAAAAGGCAGCTA-1", "iM.data_AGACAGGAGCACGATG-1", "iM.data_CTGTAGAGTTGCCGCA-1", "iM.data_AACACACTCCACAGCG-1", "iM.data_CTGATCCTCAGCATTG-1", "iM.data_GGAACCCGTGTTAAAG-1", "iM.data_CTACCTGTCTAGCCAA-1", "iM.data_CGACAGCAGCGTATAA-1", "iM.data_TTACAGGAGGTCGAGT-1", "iM.data_AGTACCAAGCCACTCG-1", "iM.data_CGCATAACAATAGGGC-1", "iM.data_TAGATCGAGGAGAGTA-1", "iM.data_CAAGGGATCTCGTGGG-1", "iM.data_CGTAATGTCGACGCTG-1", "iM.data_TGTCCCACACATCATG-1", "iM.data_ATTCATCTCGTAGTGT-1", "iM.data_ATTCTACGTGTGTCGC-1", "iM.data_TGAACGTCATGGTGGA-1", "iM.data_TGATGGTTCTGCATGA-1", "iM.data_AAGATAGAGAGAGCGG-1", "iM.data_GTCACGGTCATGTCAG-1", "iM.data_TTCCTAAGTCTCAAGT-1", "iM.data_GTGCAGCTCAAGCTGT-1", "iM.data_CTGGCAGAGGTACAAT-1", "iM.data_AGTAACCAGAGTCAAT-1", "iM.data_CGCATGGGTGAGCTCC-1", "iM.data_TAGACCACAACCAATC-1", "iM.data_GTTAGTGTCTACTCAT-1", "iM.data_CTTCGGTGTGGCAGAT-1", "iM.data_GTTCATTGTAAGATCA-1", "iM.data_TCAGGGCCAATTGGTC-1", "iM.data_AGTCACAGTTCAAGGG-1", "iM.data_CGGAATTCACATTCGA-1", "iM.data_GGGTTTACAGTAGTTC-1", "iM.data_AGGTCTATCGCTACGG-1", "iM.data_CAAGCTAGTTCCTTGC-1", "iM.data_TAGACTGCACGTATAC-1", "iM.data_ACGGGTCGTTAAGCAA-1", "iM.data_TACCGAACACAACGCC-1", "iM.data_AAGATAGGTAATTGGA-1", "iM.data_ATAGACCCAGAGTCAG-1", "iM.data_GGTGAAGAGACTTCAC-1", "iM.data_ATAGAGATCTGACAGT-1", "iM.data_CATTGCCCAGCGTTTA-1", "iM.data_TCATTGTTCCACTTCG-1", "iM.data_AACCATGAGAGTAACT-1", "iM.data_CTCCTCCAGTCACACT-1", "iM.data_AGGACGATCGCGATCG-1", "iM.data_AACCATGGTTGGGTTT-1", "iM.data_TGCATCCTCGGACTTA-1", "iM.data_TCCTAATCACCGTCTT-1", "iM.data_CTACCTGGTTAGGGAC-1", "iM.data_AGGATAAGTTGGACCC-1", "iM.data_TAACCAGCATAACCCA-1", "iM.data_CTTACCGTCTCTCCGA-1", "iM.data_TGCTCGTAGTAACAGT-1", "iM.data_TACTTGTTCAGTCTTT-1", "iM.data_TTCTGTATCTCGTGAA-1", "iM.data_AACCTGAAGGTCCCGT-1", "iM.data_TCAGCAAGTCTTTCTA-1", "iM.data_CTAACCCAGTAAACAC-1", "iM.data_CTTCTCTGTATCAGGG-1", "iM.data_ATACTTCAGCAGGGAG-1", "iM.data_ATGACCAGTAGGTGCA-1", "iM.data_GTAATGCTCCATACTT-1", "iM.data_AAGCATCCATGACTCA-1", "iM.data_GACCCAGAGCCAGACA-1", "iM.data_TCATTCATCTTCTTCC-1", "iM.data_TTTGATCCAGGTTCGC-1", "iM.data_TTTGGAGAGTCAAGCG-1", "iM.data_CGCGTGAGTTAGTTCG-1", "iM.data_GGTAGAGCATTCTCTA-1", "iM.data_GTTGCTCCATTCATCT-1", "iM.data_TCATTGTAGAGGCTGT-1", "iM.data_CTTCTCTTCGGATACT-1", "iM.data_AGGTTGTTCCTCAGGG-1", "iM.data_CTGTGAACAGAGCCCT-1", "iM.data_ATTTCTGGTCACTTCC-1", "iM.data_TGCGACGTCGGAACTT-1", "iM.data_AACAACCAGTGACCTT-1", "iM.data_GCTGGGTGTTCTTCAT-1", "iM.data_GAGGCAATCTGAGAAA-1", "iM.data_TGATGGTAGGGCGAAG-1", "iM.data_ATGAAAGGTCTTGCGG-1", "iM.data_CGAGAAGGTATTGCCA-1", "iM.data_GACCAATCATTCGATG-1", "iM.data_ATGAAAGTCCTTCGAC-1", "iM.data_CAATGACCACCCTCTA-1", "iM.data_AATGACCAGACTGGGT-1", "iM.data_GGGTTTAGTTGGAGAC-1", "iM.data_GAACTGTAGGTATTGA-1", "iM.data_GCGTGCATCATTTCGT-1", "iM.data_CACGTTCAGTAAGAGG-1", "iM.data_TGGGCGTTCTGAATCG-1", "iM.data_TATTCCACAACTCCCT-1", "iM.data_AAGGTAAGTTAGGGTG-1", "iM.data_ACTTTGTGTCAATGGG-1", "iM.data_GTTATGGGTCTGTGTA-1", "iM.data_CATACCCTCTGGTCAA-1", "iM.data_ACTATTCAGGCGATAC-1", "iM.data_TCAGCAATCTAACACG-1", "iM.data_TATCCTACAGCCTTCT-1", "iM.data_TATACCTCACTGAGGA-1", "iM.data_AGACCATAGTCACTGT-1", "iM.data_GTTACGATCTGTAACG-1", "iM.data_CCAATGAGTTACGGAG-1", "iM.data_GTTGCTCAGAGTCCGA-1", "iM.data_GTCTGTCCATAGACTC-1", "iM.data_ATTACCTGTCAACGCC-1", "iM.data_CGTCCATCATGAATCC-1", "iM.data_CGTAATGCACCAATTG-1", "iM.data_ATGAGTCCAAGTGACG-1", "iM.data_CCCATTGCAGAACTCT-1", "iM.data_AGTCAACGTCTTGAGT-1", "iM.data_CTCAAGATCCATGCAA-1", "iM.data_GTGTGATTCGTTCCCA-1", "iM.data_GATTCTTTCCACTAGA-1", "iM.data_ACGATCAAGTCTCCTC-1", "iM.data_GCGGAAACACCCGTAG-1", "iM.data_TCATCCGAGCATCAGG-1", "iM.data_CCCTTAGGTCGCAACC-1", "iM.data_GTGCGTGAGATGAACT-1", "iM.data_ACCCTTGAGCATATGA-1", "iM.data_GTGTTCCCATGGGTTT-1", "iM.data_GAAGTAATCACTGAAC-1", "iM.data_GAGTTTGTCTAACGCA-1", "iM.data_GAAGCCCGTAAGTTGA-1", "iM.data_GTGAGCCTCAGGACGA-1", "iM.data_GACCTTCCACGCTATA-1", "iM.data_TACTTGTTCGAACCTA-1", "iM.data_TCAAGTGCATCATTGG-1", "iM.data_GAGTGTTGTCAAAGTA-1", "iM.data_ACTTAGGCAGATCCAT-1", "iM.data_CATGCTCCAGAGGAAA-1", "iM.data_AAGACAAAGGCCTGAA-1", "iM.data_AAGCCATTCATCGCAA-1", "iM.data_ACAGGGATCGCACTCT-1", "iM.data_GGGCTACAGCCACTCG-1", "iM.data_TGGAGGAGTGGAAATT-1", "iM.data_AGCCAGCAGCCGGAAT-1", "iM.data_GAGTTGTTCCATAGGT-1", "iM.data_TCCTTTCTCGTGGCTG-1", "iM.data_ATGAAAGAGTCATCCA-1", "iM.data_ATTCTTGGTACGGGAT-1", "iM.data_CTGTGAACAATCTCGA-1", "iM.data_TACCGGGAGTTAGTAG-1", "iM.data_AACAACCAGCCTCTGG-1", "iM.data_TCGCAGGCACCCATAA-1", "iM.data_CCACAAAGTCTAGGTT-1", "iM.data_CCCTTAGAGCGAGTCA-1", "iM.data_ACAAGCTCACTAGGTT-1", "iM.data_TATTTCGAGCTGGCTC-1", "iM.data_TTGACCCCACAGACGA-1", "iM.data_GGCACGTGTTAGCGGA-1", "iM.data_TCCGATCGTATCGAGG-1", "iM.data_TCAAGCAGTGGCTGAA-1", "iM.data_CGTGAATAGACCACGA-1", "iM.data_CAACCAATCACCACAA-1", "iM.data_CAGCCAGCAATACGCT-1", "iM.data_TTCCTTCTCCGATAAC-1", "iM.data_ATCTCTAAGGTGGGTT-1", "iM.data_GCGATCGCAACCACAT-1", "iM.data_TGTGATGGTTATGTGC-1", "iM.data_AGAAATGAGACAGCGT-1", "iM.data_AGCTACAAGGGTGAAA-1", "iM.data_AACACACTCCGATAAC-1", "iM.data_TTAGTCTAGACCTGGA-1", "iM.data_TTCCGTGCAGGATTCT-1", "iM.data_AAACCCACAACAACAA-1", "iM.data_CAATGACGTGACGTCC-1", "iM.data_TTGGGCGAGTTGCTCA-1", "iM.data_GACGTTATCTGGGTCG-1", "iM.data_ATCCCTGCAGCTGCCA-1", "iM.data_CACGTGGAGAGAGCAA-1", "iM.data_GTATTGGTCCGACGGT-1", "iM.data_ACGATCATCTGATGGT-1", "iM.data_ATAGGCTTCACGAGGA-1", "iM.data_AAGATAGAGTGGTTAA-1", "iM.data_TTTAGTCAGGACAAGA-1", "iM.data_GGTTCTCAGAGGGTCT-1", "iM.data_TCCTAATAGTTAGAAC-1", "iM.data_TTTGTTGCACAAGTTC-1", "iM.data_ACTATCTGTCAGCGTC-1", "iM.data_TCATACTAGGTACAAT-1", "iM.data_TTCTAGTTCGCCGTGA-1", "iM.data_ATCATTCTCACCTTAT-1", "iM.data_AACGTCATCAAACTGC-1", "iM.data_CCTTCAGCAAATCAAG-1", "iM.data_CTCAGGGTCCCTTTGG-1", "iM.data_TTTACTGGTACCCGAC-1", "iM.data_TGGAGGATCGGCTATA-1", "iM.data_CAGAGCCCAGCGTTTA-1", "iM.data_CTCTGGTGTCATAACC-1", "iM.data_AACGGGAGTGGCTTAT-1", "iM.data_CTGTACCTCTAGCCAA-1", "iM.data_GGCAGTCAGTATGAAC-1", "iM.data_GTAGAAATCTTCGGTC-1", "iM.data_GTGTAACCACCGTCTT-1", "iM.data_CAGGGCTGTACCCGCA-1", "iM.data_TACGGTAAGCGAATGC-1", "iM.data_GAGACTTGTATCTCTT-1", "iM.data_ATTCTACTCAGCGGAA-1", "iM.data_AACACACCACAGTCGC-1", "iM.data_CTCCTTTAGTACAGAT-1", "iM.data_GTCCCATAGGATACGC-1", "iM.data_TAACACGTCCAAACCA-1", "iM.data_CATGGTAAGCTCTATG-1", "iM.data_ATGTCCCGTTTACGTG-1", "iM.data_GTTACAGTCGCCGTGA-1", "iM.data_TTACTGTTCTGTCTCG-1", "iM.data_GGAAGTGCATCGAACT-1", "iM.data_CAAGACTAGAGGTATT-1", "iM.data_TCTAACTGTTACCTGA-1", "iM.data_TACCCGTGTATCGGTT-1", "iM.data_AGTTAGCTCACTGATG-1", "iM.data_TCATTCAGTGTCATTG-1", "iM.data_GCCATGGCATGTTTGG-1", "iM.data_CACCGTTCACTTGTCC-1", "iM.data_AGAGAATAGAAGCCTG-1", "iM.data_GGGTGAAGTGCCGAAA-1", "iM.data_TTATTGCAGTGAGGTC-1", "iM.data_CCCAACTAGCTCTATG-1", "iM.data_CTATCCGTCTTTCGAT-1", "iM.data_TGTGAGTGTACCTTCC-1", "iM.data_CGGAACCGTGTTCGAT-1", "iM.data_GTAACCAGTTCTCGTC-1", "iM.data_GGATCTATCGGTCTAA-1", "iM.data_TTGCTGCGTGAGTAAT-1", "iM.data_GAAGTAATCGATTTCT-1", "iM.data_GTCATCCCACGCTGTG-1", "iM.data_ATTACTCTCGGATACT-1", "iM.data_CCACTTGCACGTACTA-1", "iM.data_AGCTACATCGACATAC-1", "iM.data_GGTAACTAGCCTGACC-1", "iM.data_GGGCTCAGTCTATGAC-1", "iM.data_CAGATACAGTTACGAA-1", "iM.data_GGATCTATCAAGTAAG-1", "iM.data_CTAACCCCATGGATCT-1", "iM.data_GGAGCAAGTAGAGTTA-1", "iM.data_AGCGCCAGTAGCACAG-1", "iM.data_CAGATTGCAAATAAGC-1", "iM.data_ATCCTATCATAGGAGC-1", "iM.data_TCTAACTGTTCTCTAT-1", "iM.data_TCATACTTCGAGAACG-1", "iM.data_TAATTCCAGCACCCAC-1", "iM.data_ACTCCCACATAGGTAA-1", "iM.data_CTTCTCTTCATTCCTA-1", "iM.data_GCCCAGATCGCATTAG-1", "iM.data_AGACCATCAACTTGCA-1", "iM.data_TCGCACTTCACCCTGT-1", "iM.data_TCTGTCGGTTTCTTAC-1", "iM.data_AGTTCGACAACGTTAC-1", "iM.data_CAGGGCTCACGTACTA-1", "iM.data_GTCCACTAGGCTTAGG-1", "iM.data_GGGCCATTCCCGTAAA-1", "iM.data_CATGGTATCTCGTTTA-1", "iM.data_TGGAACTAGGTACAAT-1", "iM.data_AACCTGACACTTGTGA-1", "iM.data_TCGCTTGGTGTTAACC-1", "iM.data_TGCACGGCAAGCGCAA-1", "iM.data_ATGGGAGGTAAGATAC-1", "iM.data_CGTCCATAGCCTCATA-1", "iM.data_ACGTCCTAGGTTAAAC-1", "iM.data_GGAACCCTCGCCTATC-1", "iM.data_GTAATGCAGAGCAAGA-1", "iM.data_CTACCTGCAGCCTATA-1", "iM.data_CTACTATTCGCTTACC-1", "iM.data_GTTGTAGAGGATGGCT-1", "iM.data_CAACGATTCGGATAAA-1", "iM.data_GGAGGATAGGCTAAAT-1", "iM.data_TTCAATCAGCAACAAT-1", "iM.data_CATCGGGTCTTTCTAG-1", "iM.data_AGACCCGCATGTCAGT-1", "iM.data_ATCATTCTCAACTTTC-1", "iM.data_GTTAGTGGTTACGTAC-1", "iM.data_TGATCAGAGTAAACAC-1", "iM.data_AGATAGACACAATCTG-1", "iM.data_GATCAGTCACATACTG-1", "iM.data_CTCATGCGTAGGCAAC-1", "iM.data_GGAATCTTCTGCGATA-1", "iM.data_CGGGCATGTCGCCACA-1", "iM.data_GGGTGTCGTTCTGACA-1", "iM.data_GCCAACGGTTTCTATC-1", "iM.data_CGTCCATAGGGCAACT-1", "iM.data_ACTTTGTGTTCGTTCC-1", "iM.data_CTCATGCCATTGTACG-1", "iM.data_CATCCACCACAAGCAG-1", "iM.data_CCACACTTCACACCGG-1", "iM.data_AGTTCGATCCCAAGCG-1", "iM.data_GACCTTCGTAACTTCG-1", "iM.data_AGTCAACAGTAGGAAG-1", "iM.data_AGACTCAAGGGTCACA-1", "iM.data_TGATGCACAGAACTTC-1", "iM.data_CATAGACGTTGGGCCT-1", "iM.data_CAGTTCCGTTACCCAA-1", "iM.data_CAGCGTGGTACGCTTA-1", "iM.data_AAGACTCCAAGCTACT-1", "iM.data_GGGCGTTGTCACGTGC-1", "iM.data_TCTCTGGCAAATACAG-1", "iM.data_CTGATCCGTAACGGTG-1", "iM.data_TGTTCTATCGCCCAGA-1", "iM.data_TTCGGTCAGCAGGCAT-1", "iM.data_AGGAGGTTCCTCATAT-1", "iM.data_TACGTCCCACGACCTG-1", "iM.data_CTTCTAATCCAGCACG-1", "iM.data_TATCAGGGTAGGTCAG-1", "iM.data_GACTGATCAGCTTTCC-1", "iM.data_TCAGTCCCAAGACCGA-1", "iM.data_CACCAAAAGGAGCAAA-1", "iM.data_TCCACCAGTCCGTTTC-1", "iM.data_TGAGGAGCATGAATCC-1", "iM.data_CCCTCTCTCAAGAGTA-1", "iM.data_TGAGGGACAGTAGGAC-1", "iM.data_TTACGTTTCTCCCTAG-1", "iM.data_CTCCTTTGTATCTTCT-1", "iM.data_GCAGGCTCACAGTCCG-1", "iM.data_GTAGCTAGTGAGATAT-1", "iM.data_ACCCAAACAGGAAGTC-1", "iM.data_TGCAGTATCCGGCAAC-1", "iM.data_CAATCGATCGATGGAG-1", "iM.data_GAATCACTCTGAGTCA-1", "iM.data_CCGGACACACGCGCTA-1", "iM.data_TTCGCTGTCCACGGAC-1", "iM.data_TGCCGAGCAGAATGTA-1", "iM.data_GCCATTCAGGGAGGTG-1", "iM.data_GCAGCTGAGACTCATC-1", "iM.data_CCTTTGGTCTCGCTCA-1", "iM.data_CCACGTTCAATTCACG-1", "iM.data_AAGGTAATCCCAATAG-1", "iM.data_TGACAGTAGCTATCCA-1", "iM.data_ATCAGGTTCCGGCAGT-1", "iM.data_GCAGCCATCTAGCCTC-1", "iM.data_TTGCCTGAGTGGATTA-1", "iM.data_TTTGGTTTCCTGGGTG-1", "iM.data_TCAATCTGTCGCACGT-1", "iM.data_AGTGCCGTCTTGCAAG-1", "iM.data_CCCTAACTCCGATCTC-1", "iM.data_CATGCTCTCTCACGAA-1", "iM.data_CCTTCAGTCAAAGGAT-1", "iM.data_AGGTTGTTCAGCGCGT-1", "iM.data_GACAGCCCAAAGCACG-1", "iM.data_ATTTCACGTTGCACGC-1", "iM.data_TCCTTCTTCCAACTGA-1", "iM.data_AATCACGCAAGCGATG-1", "iM.data_TCATTGTAGACGGTTG-1", "iM.data_TGTAAGCTCTCATTGT-1", "iM.data_TCCGTGTGTGCCTAAT-1", "iM.data_TATCGCCAGGAGATAG-1", "iM.data_TATCAGGGTGAGGATC-1", "iM.data_CGCAGGTAGAGCAGTC-1", "iM.data_TGCATGAAGGTTGGTG-1", "iM.data_GTGTTCCTCGGTAAGG-1", "iM.data_CAGATACTCAGTCTTT-1", "iM.data_TAGACTGAGCGCCCAT-1", "iM.data_TTCTAGTGTCAGTCCG-1", "iM.data_ATTCTACCATCATTGG-1", "iM.data_ATCGGATCAGCAGATG-1", "iM.data_AAAGGGCAGGGAGTTC-1", "iM.data_GAGTTTGAGGTTACAA-1", "iM.data_TTCCTCTTCGAGCCTG-1", "iM.data_TCATCATTCAGCATTG-1", "iM.data_ATGAGGGTCGCGTTTC-1", "iM.data_CACAGATGTAGCTGAG-1", "iM.data_TTTGACTAGCTACTAC-1", "iM.data_CCACGAGTCATCGGGC-1", "iM.data_GTTGAACCATGTTACG-1", "iM.data_AAACGAATCGACGATT-1", "iM.data_GTTACGACAGCTGTTA-1", "iM.data_TACCGAAGTGCAAGAC-1", "iM.data_GCCATTCTCCGTAGGC-1", "iM.data_CAGTTCCTCAGGAAGC-1", "iM.data_AGGATAAAGACTCATC-1", "iM.data_TCATCCGAGTTGGACG-1", "iM.data_CTTCGGTAGCCGGATA-1", "iM.data_GCACGGTTCATGAAAG-1", "iM.data_TAGCACATCGATAACC-1", "iM.data_ACCATTTTCCTTATCA-1", "iM.data_GACTCTCAGATTACCC-1", "iM.data_CTTTCAACAGCGGTCT-1", "iM.data_CCACGAGCAGCCTACG-1", "iM.data_ATTCTTGTCACCTCAC-1", "iM.data_GTGTTCCCACATTCTT-1", "iM.data_TTACAGGGTCCAGGTC-1", "iM.data_ATACCTTGTTCTCTAT-1", "iM.data_TTACTGTTCTAGTCAG-1", "iM.data_CATTCATGTTCGTGCG-1", "iM.data_TCTCTGGCAAGTCATC-1", "iM.data_GAGAAATAGGTGCAGT-1", "iM.data_CAGGGCTTCTCCGAAA-1", "iM.data_CTAACTTGTGTGATGG-1", "iM.data_CGATCGGGTGATGTAA-1", "iM.data_GGGTATTAGTAAATGC-1", "iM.data_CGTTGGGAGGCCTAGA-1", "iM.data_TGTTCTAGTACTAACC-1", "iM.data_GGATCTACAGTCTCTC-1", "iM.data_TGATGGTGTTGATCGT-1", "iM.data_AGCCAGCCATGACTAC-1", "iM.data_CACAGATAGCACGTCC-1", "iM.data_GTGCACGGTGGCCTCA-1", "iM.data_GATGACTAGCCAAGGT-1", "iM.data_GAGTTTGCAATAGGGC-1", "iM.data_GATTCTTGTAATGCGG-1", "iM.data_GTGAGCCCACCCAATA-1", "iM.data_GACGCTGAGAGCCGTA-1", "iM.data_ATTGTTCCAGAATTCC-1", "iM.data_GCATTAGTCATTTGCT-1", "iM.data_TATATCCCAGCCTATA-1", "iM.data_CCTAAGAAGAGAATCT-1", "iM.data_CATTTCATCACCGGGT-1", "iM.data_CAACAGTAGCGATGGT-1", "iM.data_CATAGACAGGGTAGCT-1", "iM.data_ATTCACTTCGCCCAGA-1", "iM.data_TGGCGTGGTAGGGAGG-1", "iM.data_TTCCACGCAACGAGGT-1", "iM.data_AGTACTGTCCCATACC-1", "iM.data_ATGCGATCACTCCTGT-1", "iM.data_TACTTGTAGACCTTTG-1", "iM.data_CAGGTATAGAGTCACG-1", "iM.data_TTTACCAAGGTACAAT-1", "iM.data_TCACTCGCAAATTAGG-1", "iM.data_CTGTAGAGTATAGGGC-1", "iM.data_GAGTCTACACAAATAG-1", "iM.data_GGTTCTCTCAGACTGT-1", "iM.data_GCCTGTTCAGCTACAT-1", "iM.data_AAGCCATTCGCTCTAC-1", "iM.data_CCTTCAGAGAATAACC-1", "iM.data_CTGCCTACAGGCTATT-1", "iM.data_TCACTCGTCCCAGGAC-1", "iM.data_GGGTATTAGGCGAACT-1", "iM.data_TGGAGAGGTTCCTAGA-1", "iM.data_ACCTGAAGTCCAAATC-1", "iM.data_AGTACTGTCCACCCTA-1", "iM.data_TCCCAGTAGAGATGCC-1", "iM.data_TGAACGTGTTAAGGGC-1", "iM.data_GGTAGAGCAGTATACC-1", "iM.data_ATCCACCCAAGGGCAT-1", "iM.data_GCAACCGGTGGGATTG-1", "iM.data_ACTCCCAAGTATGGAT-1", "iM.data_ACATCGAGTGTTAGCT-1", "iM.data_ATCTTCAAGTCATACC-1", "iM.data_CGGGCATAGACCATTC-1", "iM.data_TAAGTCGAGTCGTTAC-1", "iM.data_AGCCACGGTCTAATCG-1", "iM.data_GTCATGAGTATGGGAC-1", "iM.data_CTATAGGCACAGCATT-1", "iM.data_AGGTCTAGTCTACATG-1", "iM.data_CTTTCGGGTCGGTGAA-1", "iM.data_CTGCAGGTCAACGAGG-1", "iM.data_GCGTGCATCTACGCGG-1", "iM.data_CTGTGGGGTATGCTTG-1", "iM.data_CATGCTCCAGCTGCCA-1", "iM.data_GATCAGTCAACTCGTA-1", "iM.data_TGCAGATAGTTATGGA-1", "iM.data_AACAACCCAATGAAAC-1", "iM.data_GGGAAGTGTGCTCGTG-1", "iM.data_CTACATTGTCCTCAGG-1", "iM.data_TCATGGACACGCGCAT-1", "iM.data_AGTGCCGTCTTTGCGC-1", "iM.data_ACTTAGGGTTCTCGCT-1", "iM.data_TCTACATGTGCACAAG-1", "iM.data_CTGCAGGAGGGTGGGA-1", "iM.data_GTTACCCTCCCAACTC-1", "iM.data_TTCATTGTCGTCCTCA-1", "iM.data_CCTTCAGGTAGTTCCA-1", "iM.data_GAGGCCTGTCTGTCAA-1", "iM.data_AGGTAGGTCCCGAACG-1", "iM.data_AGTGATCGTATTAAGG-1", "iM.data_CGGAATTTCACACCGG-1", "iM.data_GCCATTCTCACCGCTT-1", "iM.data_CTCTCAGCACTGATTG-1", "iM.data_AGTAACCTCTCTCGAC-1", "iM.data_TCGCTTGTCTCGGGAC-1", "iM.data_TATTTCGCAGATACCT-1", "iM.data_AGAGAGCAGCCTCAAT-1", "iM.data_CTCGAGGCAATTGCTG-1", "iM.data_ACAGGGAGTGAATGAT-1", "iM.data_GTTACCCGTGACACAG-1", "iM.data_TCCTGCACAATGACCT-1", "iM.data_CCGCAAGGTATCGGTT-1", "iM.data_ATCGGATCAGGTCCCA-1", "iM.data_TGCTGAAAGGATCACG-1", "iM.data_TACACCCCACGGTAGA-1", "iM.data_ATCGATGAGCTGGCCT-1", "iM.data_CACAGGCCACCGTGGT-1", "iM.data_TCACACCGTCTGCGCA-1", "iM.data_GTTATGGGTAAGTTGA-1", "iM.data_TTCATTGAGTCACTCA-1", "iM.data_CATTCTACAGGCATTT-1", "iM.data_AAGCGTTCAGCGTACC-1", "iM.data_ACGTCCTTCCACGTGG-1", "iM.data_TATGTTCAGACATAGT-1", "iM.data_TTTACCATCTAACACG-1", "iM.data_AAGATAGTCTTCCGTG-1", "iM.data_TCTTTGAGTTGCAACT-1", "iM.data_ATTCGTTAGTAGCATA-1", "iM.data_CTCCGATTCGCCTCTA-1", "iM.data_GACCCAGAGAGATGCC-1", "iM.data_AGCTCAAGTAAGACCG-1", "iM.data_ATTCACTGTCACTCAA-1", "iM.data_CTCAACCTCCAATCCC-1", "iM.data_TCTACATGTCCTTAAG-1", "iM.data_GACCCAGGTCATCTAG-1", "iM.data_ACGGTCGCAAATAGCA-1", "iM.data_AGACCCGGTACGACTT-1", "iM.data_ATGAGGGGTCCATCTC-1", "iM.data_CATTCCGCACCAGTTA-1", "iM.data_CTTCTCTTCTACCACC-1", "iM.data_GATGAGGTCCCAACTC-1", "iM.data_AAGAACACACTAGTAC-1", "iM.data_CGATGGCGTACAACGG-1", "iM.data_CCCTTAGGTTTGTTGG-1", "iM.data_CACTGGGAGGCATCTT-1", "iM.data_TAGGGTTAGTGTAGAT-1", "iM.data_GGAACCCTCACATCAG-1", "iM.data_TAGGTTGCAGCGTTGC-1", "iM.data_AATCGACCACGGATCC-1", "iM.data_AGGGTTTAGGCGACAT-1", "iM.data_CACCGTTCAACGACAG-1", "iM.data_CTCCGATCAAACACGG-1", "iM.data_GCATGATAGCTGAGCA-1", "iM.data_GAACGTTTCTGCACCT-1", "iM.data_TTTACGTGTTGCCTAA-1", "iM.data_CATGAGTTCATTGTTC-1", "iM.data_TAGTGCAGTTCGTACA-1", "iM.data_CCTCAACCACAGCATT-1", "iM.data_CTAACTTTCAAGATAG-1", "iM.data_TACATTCAGCTTGTTG-1", "iM.data_TTGCCTGCAACTTGGT-1", "iM.data_AGCTTCCGTCTCACGG-1", "iM.data_GACCAATCACTTACAG-1", "iM.data_AGTTAGCCAATACCTG-1", "iM.data_GGGTTTATCTAAGCGT-1", "iM.data_GAAGCGAGTCGTCATA-1", "iM.data_ATCCTATCACAGTCGC-1", "iM.data_ATGGGAGGTCTACACA-1", "iM.data_CAGATCAGTGGAACCA-1", "iM.data_GAGTCATTCGTCTCAC-1", "iM.data_CTGTGGGCAAATGATG-1", "iM.data_AACGGGAAGGAGGTTC-1", "iM.data_GATGAGGGTTACGATC-1", "iM.data_TAAGCCATCTCTCCGA-1", "iM.data_AGGCTGCAGAGGGCGA-1", "iM.data_AGCCAGCAGACAGCGT-1", "iM.data_TACTGCCGTTCAAAGA-1", "iM.data_TTGTGTTCATGGAATA-1", "iM.data_ATCGGATTCCATTTAC-1", "iM.data_CAAGACTGTAACAGGC-1", "iM.data_TCATGCCTCGGCATCG-1", "iM.data_TTTGACTCAAAGGGTC-1", "iM.data_ATACCGATCGTCAACA-1", "iM.data_TATCTGTTCACCTTAT-1", "iM.data_ATTCACTCAGTTGGTT-1", "iM.data_TGTCAGAGTCCTGAAT-1", "iM.data_TGGCGTGAGAAACTAC-1", "iM.data_GACTATGAGACTCCGC-1", "iM.data_CCCTCAACAGCACGAA-1", "iM.data_TCGAACACACAAATAG-1", "iM.data_CTCAGAAAGTGGTTCT-1", "iM.data_CTCATGCGTCTTCGAA-1", "iM.data_TGGAGAGAGAGCCGTA-1", "iM.data_TATCTGTGTATGATCC-1", "iM.data_TGACAGTTCTTAAGGC-1", "iM.data_CTCCTTTTCCGCTGTT-1", "iM.data_CCTCTAGTCCTTATCA-1", "iM.data_GTTGCTCTCGAGTTGT-1", "iM.data_TGAATGCTCTCTCAAT-1", "iM.data_ACTCTCGAGTAAGAGG-1", "iM.data_CGAAGGAAGTGGCAGT-1", "iM.data_GTTGAACCAAAGGCGT-1", "iM.data_CCCAACTCATGAAGCG-1", "iM.data_CATCCACCATAACAGA-1", "iM.data_TGACAGTTCGCCTATC-1", "iM.data_GACTATGCACACACGC-1", "iM.data_GCCATTCTCACCGACG-1", "iM.data_GAGTTTGTCCATAAGC-1", "iM.data_AGCCAATCATCTCATT-1", "iM.data_ATTCGTTCAAGATCCT-1", "iM.data_GAAATGACAAGCCCAC-1", "iM.data_GACCAATCAATAGTGA-1", "iM.data_GCGTGCAAGCGCGTTC-1", "iM.data_CCTCTAGGTACCATAC-1", "iM.data_AAGACAAAGCAAATGT-1", "iM.data_AGAAGTATCTGGAAGG-1", "iM.data_CCATCACCACATGACT-1", "iM.data_TCATGCCTCATCTATC-1", "iM.data_GTTACGATCACTGTCC-1", "iM.data_CAGCAATAGACCTCCG-1", "iM.data_GGAGATGAGCACGTCC-1", "iM.data_TTCGGTCCAGGACATG-1", "iM.data_CCTAACCGTAGGCAAC-1", "iM.data_CTAGACAGTCTACGAT-1", "iM.data_GGGATGAGTACATACC-1", "iM.data_TGCAGGCCACAGTATC-1", "iM.data_AGTAACCAGTAGACAT-1", "iM.data_ATACTTCAGTCTGGTT-1", "iM.data_GTTATGGCACCGTCTT-1", "iM.data_ACCGTTCTCAGAGTTC-1", "iM.data_CAGCAGCCATCCGATA-1", "iM.data_TCCAGAAGTGACGTCC-1", "iM.data_CCGGTGAGTGCGTTTA-1", "iM.data_GTTGCGGCAATTTCGG-1", "iM.data_TCTGGCTAGCCTCTTC-1", "iM.data_AGGATAACAAGGGCAT-1", "iM.data_ATTTCACTCCCAGGCA-1", "iM.data_TTGAACGCAAACCGGA-1", "iM.data_TCTTTGAGTCCAGTTA-1", "iM.data_GGAATGGCACTTGAAC-1", "iM.data_ATTGGGTGTACAGGTG-1", "iM.data_TACGCTCCAACCCTAA-1", "iM.data_ATGAAAGGTGCCCAGT-1", "iM.data_ACTATTCCACCTGCTT-1", "iM.data_CCACACTCATGAGAAT-1", "iM.data_CTCCACATCTATCGCC-1", "iM.data_CATTCATCATGGGAAC-1", "iM.data_GTCTACCAGCACGTCC-1", "iM.data_ATTGGGTCATAGGTTC-1", "iM.data_TCAGTGATCAGTGGGA-1", "iM.data_GGGTATTAGTGAACAT-1", "iM.data_CAGCCAGAGATGATTG-1", "iM.data_TCACGGGGTATTTCGG-1", "iM.data_GTGGGAACAATTCGTG-1", "iM.data_GAAGCCCTCTGCTAGA-1", "iM.data_ATCACAGAGATTAGTG-1", "iM.data_TCACGGGGTGGTTTAC-1", "iM.data_GAGTTACTCTAGTGTG-1", "iM.data_CAGCACGTCGGCCCAA-1", "iM.data_ACGTAACCACAAGTTC-1", "iM.data_TAATTCCCAAGGTCGA-1", "iM.data_TCCTTTCAGACCACGA-1", "iM.data_TAGGGTTCAAACACGG-1", "iM.data_TGCTGAATCAATCCGA-1", "iM.data_ATTCCCGTCGAACCAT-1", "iM.data_TGGAGAGCACGAGGAT-1", "iM.data_AGATAGACACCGAATT-1", "iM.data_GCATCTCGTCTCGGAC-1", "iM.data_CGTAGTAGTGTAGTGG-1", "iM.data_TAAGCGTGTCTCCCTA-1", "iM.data_TTACAGGTCCGCACGA-1", "iM.data_CCGTTCAAGTTGTAAG-1", "iM.data_AATGACCCAATCTCTT-1", "iM.data_AGGGCCTCATACAGCT-1", "iM.data_CACAACAAGCGACTAG-1", "iM.data_GCGAGAAAGTAAGGGA-1", "iM.data_ATGAGTCCACTCACTC-1", "iM.data_TATTCCAAGGGACACT-1", "iM.data_CTCCGATTCACATCAG-1", "iM.data_ACCCTTGTCGTAACAC-1", "iM.data_GAGGCCTCACCTGAAT-1", "iM.data_GTGAGCCAGTCCCTAA-1", "iM.data_TTACGCCTCTTGGTCC-1", "iM.data_GCCAACGGTGAATAAC-1", "iM.data_GTTAGACTCTCCCTAG-1", "iM.data_GACTCTCAGACTTGTC-1", "iM.data_AGAACCTTCCCATTTA-1", "iM.data_CATTGAGTCCTTCTTC-1", "iM.data_GGAGAACTCCCTCTCC-1", "iM.data_CGAGTGCGTCCACTCT-1", "iM.data_ATCGGCGGTACGGCAA-1", "iM.data_CCACCATTCTTTACAC-1", "iM.data_CTCCCTCTCGCTTTAT-1", "iM.data_TTTGATCCATTCTGTT-1", "iM.data_CCTTCAGAGAACAGGA-1", "iM.data_GCGGAAAAGTATCTGC-1", "iM.data_GGAGAACTCCGTGGCA-1", "iM.data_CATCGCTTCGCTGTCT-1", "iM.data_GAAGCCCTCCTCACTG-1", "iM.data_CGGAGAAGTACTCGTA-1", "iM.data_CATTCCGCACGGTCTG-1", "iM.data_TTTACTGTCGTAGTCA-1", "iM.data_GCACTAACACCATAAC-1", "iM.data_GGTGTCGCAACCGTGC-1", "iM.data_GTTATGGTCACTAGCA-1", "iM.data_CGAGAAGCACGACTAT-1", "iM.data_TTGAGTGCATACCACA-1", "iM.data_TCAGGGCGTATCAAGA-1", "iM.data_GTCATCCCAGTGACCC-1", "iM.data_GTGCAGCTCCCATTCG-1", "iM.data_TCCTCGAAGGGAGGTG-1", "iM.data_AGCCAGCCACATGTTG-1", "iM.data_AGCTTCCAGGTCTGGA-1", "iM.data_TGTACAGAGCACTAAA-1", "iM.data_ATTCCTACAGGCACTC-1", "iM.data_ACCCAAACATGACGAG-1", "iM.data_AAAGTCCAGTGTCATC-1", "iM.data_ATCGCCTTCACGGGCT-1", "iM.data_GTAGTACGTACGGTTT-1", "iM.data_ATTGGGTCAAAGGGCT-1", "iM.data_GTAGATCAGGTCTGGA-1", "iM.data_GGGTGAACACAAAGTA-1", "iM.data_GTCTAGATCAAAGCCT-1", "iM.data_GGGTGTCAGCTGAGCA-1", "iM.data_TCCATGCCATGTGCTA-1", "iM.data_CATTTCAGTACGACTT-1", "iM.data_TCCTCGAAGTTACGAA-1", "iM.data_TTCCACGTCCCTATTA-1", "iM.data_TGCAGTAGTCGAACGA-1", "iM.data_TGATGCACAGTAGTTC-1", "iM.data_TCGGGCAGTCGGCCTA-1", "iM.data_TCTCACGAGAGTAACT-1", "iM.data_CCTCAGTGTTTACTTC-1", "iM.data_TACATTCGTGAACGGT-1", "iM.data_TGGGCTGCAGTTCTAG-1", "iM.data_CCACAAACAACCCGCA-1", "iM.data_CTCTCAGGTCTCACAA-1", "iM.data_AGATCCACAAGTGGAC-1", "iM.data_TGTTGAGCATCTATCT-1", "iM.data_ACCACAACATGACACT-1", "iM.data_AGTGACTTCTACTATC-1", "iM.data_TTGTGTTTCTAGTCAG-1", "iM.data_TCAGCCTAGCTCTTCC-1", "iM.data_TCGTAGACAGCCGTTG-1", "iM.data_GACCCTTCAATTGAGA-1", "iM.data_TCAATTCTCTTTCGAT-1", "iM.data_GTGTAACTCACCATCC-1", "iM.data_ACCCAAACAAATGAAC-1", "iM.data_TCATTCACAACACAGG-1", "iM.data_TCACATTTCCTACAAG-1", "iM.data_ATCCGTCCAAGTTTGC-1", "iM.data_CTGAATGCAGACTGCC-1", "iM.data_CTCAGTCTCCCGAACG-1", "iM.data_CGCATAAGTTCGGCCA-1", "iM.data_GTAACCATCTCCGTGT-1", "iM.data_AAGACTCTCGCTACAA-1", "iM.data_AAGAACAGTCCAAATC-1", "iM.data_TATTCCATCTGGCCTT-1", "iM.data_TTCCGTGGTAACTTCG-1", "iM.data_CGAGTTATCAAGCTTG-1", "iM.data_ACCACAAGTAACACGG-1", "iM.data_TAAGCGTTCTTCGACC-1", "iM.data_GGAATCTTCTAGACAC-1", "iM.data_GTCATGACAACTGGTT-1", "iM.data_AGGAAATGTGGAACAC-1", "iM.data_CGGAGAACATGAAGCG-1", "iM.data_AAGTGAAGTCTAGGTT-1", "iM.data_GAAGGACCAATACGAA-1", "iM.data_GAAGGGTTCCGGTAAT-1", "iM.data_GCACATAAGCTGGCTC-1", "iM.data_GACGCTGCAGAGTCAG-1", "iM.data_TAGGAGGCACCTATCC-1", "iM.data_TCGCACTGTCACGTGC-1", "iM.data_CATCCACCAAATTGGA-1", "iM.data_TTTGTTGGTAAGCTCT-1", "iM.data_CTTCCGACAAATGAGT-1", "iM.data_CGATCGGCATGTACGT-1", "iM.data_ACACAGTGTAGGGTAC-1", "iM.data_ACCAACAAGCCGATCC-1", "iM.data_CAACGATAGTTGTCAC-1", "iM.data_AGGACTTAGACGACTG-1", "iM.data_ATGGTTGGTAACATAG-1", "iM.data_CTATCCGCAAAGCGTG-1", "iM.data_GTGTGGCTCCCAGCGA-1", "iM.data_CAATCGAGTATTTCGG-1", "iM.data_GCAGGCTTCTTTGCAT-1", "iM.data_GCAGGCTTCATTCCTA-1", "iM.data_GAGGGTACACGCGCTA-1", "iM.data_TACGCTCAGGCATGGT-1", "iM.data_GCCAGGTAGAGGTTAT-1", "iM.data_CAGCACGCATAATGCC-1", "iM.data_CAGAGCCAGATGATTG-1", "iM.data_CCTCCAAGTGTATTGC-1", "iM.data_AGATGAATCGAACGGA-1", "iM.data_CCACACTTCTGACCCT-1", "iM.data_AATGCCACATGGCCCA-1", "iM.data_AGCCAGCCAATGACCT-1", "iM.data_CTAACCCCAGAGTCTT-1", "iM.data_CATTCCGTCGGCTTGG-1", "iM.data_AGTACCATCGCTGACG-1", "iM.data_AAGTGAAGTCAAGGCA-1", "iM.data_ATGTCTTGTTCTCACC-1", "iM.data_ACCATTTTCCGTAGTA-1", "iM.data_CAAAGAAGTAGAGACC-1", "iM.data_ACTCCCACACGAAGAC-1", "iM.data_CATTCTAAGAGTCCGA-1", "iM.data_ATCGATGCATTCATCT-1", "iM.data_ATGAGTCCACATATCG-1", "iM.data_CACCGTTAGGACTATA-1", "iM.data_TCGATTTGTGCGAACA-1", "iM.data_ACATCCCTCATCCTGC-1", "iM.data_TTCAGGAGTTGTCATG-1", "iM.data_AGGGTGAGTGGTTCTA-1", "iM.data_CCCTGATAGCCTGGAA-1", "iM.data_AAACGCTTCATGTCTT-1", "iM.data_CCACGTTGTGTGTCGC-1", "iM.data_AACGTCAGTTGCTCGG-1", "iM.data_TTTGATCGTCCTACGG-1", "iM.data_GGGTCACAGCAGGCAT-1", "iM.data_ATTCCATCAGCCTACG-1", "iM.data_TACACCCTCAAGGAGC-1", "iM.data_CCGATGGTCACGTCCT-1", "iM.data_GAAATGAAGCCAAGCA-1", "iM.data_GAAACCTTCCGCCTAT-1", "iM.data_TGAGTCAGTGACTAAA-1", "iM.data_TCAATCTAGTGCACAG-1", "iM.data_CCTACGTTCACTACGA-1", "iM.data_GCCGATGAGGTTCCAT-1", "iM.data_TCACTCGGTCACAGAG-1", "iM.data_TGCGATACAGAACATA-1", "iM.data_CCTCCAAAGTTCTCTT-1", "iM.data_TCCATCGCATAAGCAA-1", "iM.data_TAATTCCGTTGCTCCT-1", "iM.data_AGCCAATGTAAGATTG-1", "iM.data_CGAAGTTTCAGTCATG-1", "iM.data_CTGCATCAGCTGACCC-1", "iM.data_GACTCAACATGTGGCC-1", "iM.data_AATTTCCTCTCACTCG-1", "iM.data_TGTTTGTAGTACAGAT-1", "iM.data_GAGTTGTCAGGGAATC-1", "iM.data_ATGGGTTCACCTCTAC-1", "iM.data_GTAGGTTAGTGGTGGT-1", "iM.data_AACAAAGTCCGGACGT-1", "iM.data_GAGTTACAGAAACCAT-1", "iM.data_TGGGAGATCACCTGGG-1", "iM.data_GTGTTCCGTGCAACGA-1", "iM.data_CATTCTATCGACCACG-1", "iM.data_TTTGGAGCAGCACAAG-1", "iM.data_ATCTCTACAGTTGCGC-1", "iM.data_AGCGCCAGTCCCGTGA-1", "iM.data_GAATCACGTATCCCTC-1", "iM.data_CTACGGGGTTTGTTGG-1", "iM.data_CCACCATAGCGGACAT-1", "iM.data_GATGACTCAAGTCGTT-1", "iM.data_TCCCACACACGCGTCA-1", "iM.data_TGCCGAGGTTGCTGAT-1", "iM.data_TCGATTTAGCTAGTTC-1", "iM.data_CCGGACACATCAGCGC-1", "iM.data_AGACCATCATTGAAGA-1", "iM.data_TACACCCTCTGGGATT-1", "iM.data_TTGGATGCAGCGACAA-1", "iM.data_AGGGTGAAGTAGCAAT-1", "iM.data_CGGTCAGGTTGGTACT-1", "iM.data_GTAATGCTCGGCACTG-1", "iM.data_CGACAGCCACTCCGGA-1", "iM.data_CCACGAGAGTTCCAGT-1", "iM.data_GAGAGGTTCCAAGCCG-1", "iM.data_CTGAGGCAGTCTCTGA-1", "iM.data_ACCTGAAGTAGTGGCA-1", "iM.data_TCCGATCCAGCAGAAC-1", "iM.data_TCAGTCCAGCCTCCAG-1", "iM.data_GATGAGGCAACTGAAA-1", "iM.data_GATGAGGCAAGCGGAT-1", "iM.data_CTGTAGACACGTGTGC-1", "iM.data_TCATCCGGTAGTGATA-1", "iM.data_ATCGTGATCGTCTAAG-1", "iM.data_GCTACAATCCTGCTAC-1", "iM.data_GCTACCTAGTATGGAT-1", "iM.data_ATTCAGGCACCAGCCA-1", "iM.data_ACCCTCATCTTGTGCC-1", "iM.data_ACCACAAGTAACGTTC-1", "iM.data_GGGCTACAGATGGCAC-1", "iM.data_GTCATGACAACCGATT-1", "iM.data_GGTAATCTCGATACGT-1", "iM.data_CAGCACGCAACCGATT-1", "iM.data_AGTAGTCAGAGCAACC-1", "iM.data_ATCCCTGTCGGTCGAC-1", "iM.data_GGGAGATTCTTACCGC-1", "iM.data_TGTAGACGTGACCTGC-1", "iM.data_AATAGAGCACCAATTG-1", "iM.data_CTCCCAAGTCATTGCA-1", "iM.data_ATTACCTAGCATGAAT-1", "iM.data_AGCGTATTCGTGTTCC-1", "iM.data_GTAATCGGTACTGAGG-1", "iM.data_TTCCTAACAACCGATT-1", "iM.data_TGCATCCTCCCTAGGG-1", "iM.data_TTGCCTGAGATGAACT-1", "iM.data_TGGTACAGTCTACATG-1", "iM.data_CCTACGTCATCAGTGT-1", "iM.data_CTTGATTTCGACATAC-1", "iM.data_GGGTCTGAGTAAACAC-1", "iM.data_GCTACCTAGTGCAAAT-1", "iM.data_CGTAGTATCATGCAGT-1", "iM.data_AGGTCATCACTCCACT-1", "iM.data_CAAGAGGTCAAGGACG-1", "iM.data_CATACCCTCTATTCGT-1", "iM.data_TTGGGTAAGGCATCTT-1", "iM.data_GGGTATTAGAGCATCG-1", "iM.data_CTAGGTAAGCTCCACG-1", "iM.data_TATCTGTGTTAGGCTT-1", "iM.data_GATAGCTCACAAATCC-1", "iM.data_AATGACCCAGAGTGTG-1", "iM.data_CCTACGTGTTGTCCCT-1", "iM.data_CAATACGCATTGAAAG-1", "iM.data_TGGCGTGTCTCGTGGG-1", "iM.data_ATAGACCCAGTTTCAG-1", "iM.data_ACCTACCTCTTACGTT-1", "iM.data_TCTACCGTCGCTAATG-1", "iM.data_GAATCACTCTTTCTAG-1", "iM.data_AGACTCAGTTGCCTAA-1", "iM.data_CATCCGTAGGGATCTG-1", "iM.data_TAACGACCATTGGGAG-1", "iM.data_GGGACAAGTCCCAAAT-1", "iM.data_GTAGAGGAGTATGGAT-1", "iM.data_CACAGGCCAGGTCTCG-1", "iM.data_AGTTCGAGTGAATAAC-1", "iM.data_CTCCGATCATTCTTCA-1", "iM.data_TCTCTGGCACAATGAA-1", "iM.data_CCTTCAGGTAGTCTTG-1", "iM.data_TGGTACAAGCGGACAT-1", "iM.data_AGGGTCCGTGTTGCCG-1", "iM.data_TTCCGTGGTGAGCTCC-1", "iM.data_AAACGCTGTGACAGGT-1", "iM.data_ACGTCCTCACTTCCTG-1", "iM.data_GCAACCGTCGGAACTT-1", "iM.data_TATTCCACACACCTTC-1", "iM.data_GCTGGGTTCCCATTCG-1", "iM.data_ACCACAAGTACCACGC-1", "iM.data_CTAACCCGTCTCCCTA-1", "iM.data_ATCGCCTTCGAACACT-1", "iM.data_ATGCGATTCGAGGCAA-1", "iM.data_CGAGTGCTCTTGGTCC-1", "iM.data_TGTACAGAGAGAGGGC-1", "iM.data_CCATAAGTCTTTCTAG-1", "iM.data_TACACCCCAGAGTAAT-1", "iM.data_CTATCTAAGCGGACAT-1", "iM.data_GGGTCTGCAACGGTAG-1", "iM.data_TCATCATCACTGAGGA-1", "iM.data_CCTGTTGAGGGCAGTT-1", "iM.data_ATCGCCTGTGTCCATA-1", "iM.data_AAAGGGCCAACGCCCA-1", "iM.data_AGCCACGAGTCAACAA-1", "iM.data_GCTCAAAAGGTAAGTT-1", "iM.data_CTCAGTCAGGACTAAT-1", "iM.data_CTCAGAACAAGCGAGT-1", "iM.data_AGGCTGCAGGCATTTC-1", "iM.data_GTGTTCCCATCACAGT-1", "iM.data_TCATGGATCGACCATA-1", "iM.data_CATTGAGCATGGCCAC-1", "iM.data_CACGAATCATTCACAG-1", "iM.data_TGTCAGAAGTCTTGGT-1", "iM.data_CCACGAGAGGCACTAG-1", "iM.data_AGATCCAGTACTGTTG-1", "iM.data_TTCCGTGTCCATTGGA-1", "iM.data_ACCTGTCTCGTGCACG-1", "iM.data_AGAGAATCAGTTCACA-1", "iM.data_ATGAGTCCACGACAAG-1", "iM.data_TCAAGTGGTCAACGCC-1", "iM.data_TGCGATACAGACACAG-1", "iM.data_CACTAAGAGAAGTATC-1", "iM.data_CGAGAAGTCTTTCTAG-1", "iM.data_ATCGTCCCAGCACACC-1", "iM.data_GACGCTGCAGGGAATC-1", "iM.data_TGTTCCGGTACGATTC-1", "iM.data_TGGTACATCACTCGAA-1", "iM.data_TAGACCATCACACCGG-1", "iM.data_TCATATCGTATCCCAA-1", "iM.data_CTTCAATTCGAACGGA-1", "iM.data_TCCATGCTCGACATCA-1", "iM.data_GGCTGTGTCACTTTGT-1", "iM.data_AAAGTCCTCGTAATGC-1", "iM.data_CCACACTAGCAACAGC-1", "iM.data_CAGTGCGCATATTCGG-1", "iM.data_AGACCCGTCCTACACC-1", "iM.data_ATTCGTTTCTCACCCA-1", "iM.data_GCAGTTAGTTCCGCGA-1", "iM.data_CCACCATGTCAAGTTC-1", "iM.data_CATAGACAGACGGTCA-1", "iM.data_AGCCACGAGAGGGTCT-1", "iM.data_GCCCAGAAGCCATTTG-1", "iM.data_CAATTTCGTTGCGAAG-1", "iM.data_CGTTAGATCGCCTTGT-1", "iM.data_TTGGGCGGTCTGTAAC-1", "iM.data_GAGTTACGTCTCTCTG-1", "iM.data_TATACCTCAACATCGT-1", "iM.data_GAACACTGTGGAGAAA-1", "iM.data_TCTCCGAAGCCTATTG-1", "iM.data_TATGTTCAGGGTTGCA-1", "iM.data_CACTGAAGTACGTGAG-1", "iM.data_TCAGTGACAGAGGTTG-1", "iM.data_GAGAAATTCGTTCATT-1", "iM.data_TCTCACGTCGGAATGG-1", "iM.data_TTTACGTCAGACGCTC-1", "iM.data_TGACCCTCAGACACAG-1", "iM.data_TATTTCGGTTTACCAG-1", "iM.data_TCTGCCATCAGACTGT-1", "iM.data_ATAGGCTTCATTCGGA-1", "iM.data_TCCTCTTCAGGTCCCA-1", "iM.data_GTGCTGGTCGACGTCG-1", "iM.data_TCAATCTTCGCTGCGA-1", "iM.data_CATTCCGTCGCGTGCA-1", "iM.data_GGGTTATTCAAGCCAT-1", "iM.data_ACCAACAGTGAGCGAT-1", "iM.data_ACATCCCGTGGATCAG-1", "iM.data_TGAGTCAGTCTTCATT-1", "iM.data_TTCGATTAGCGTACAG-1", "iM.data_AATTCCTCAGAGTGAC-1", "iM.data_GGAACCCCAGAGTTCT-1", "iM.data_TCAGTCCTCGTGAGAG-1", "iM.data_CCTTCAGGTCACGCTG-1", "iM.data_CTAGGTAAGACATAAC-1", "iM.data_TGTTCCGCACAGACGA-1", "iM.data_GATCGTAGTCCACGCA-1", "iM.data_CATACTTGTCGCATGC-1", "iM.data_CAACGATTCCGTGGGT-1", "iM.data_GCCCAGAAGCTCGGCT-1", "iM.data_CCCGAAGCAGTTGCGC-1", "iM.data_AAAGTGATCTAGTGAC-1", "iM.data_AGTTCGAGTAATTGGA-1", "iM.data_CATACCCAGAGAACCC-1", "iM.data_AGACAAACAGACAAAT-1", "iM.data_GTTATGGTCTGGACTA-1", "iM.data_ACACCAAGTCCGCAGT-1", "iM.data_TTACCATGTGTAACGG-1", "iM.data_ACACAGTCATTCTCTA-1", "iM.data_TCCTCGACACTGGCGT-1", "iM.data_GGGAAGTGTTCCAGGC-1", "iM.data_GTTGCGGGTCGAAACG-1", "iM.data_TCGAAGTAGTCAACAA-1", "iM.data_TGAGGGATCACTACTT-1", "iM.data_CAGAGCCAGACTCCGC-1", "iM.data_ATGTCTTTCTCGCTCA-1", "iM.data_ACATGCACACTCCACT-1", "iM.data_CCTGTTGTCAAGATAG-1", "iM.data_ATAGGCTTCAATCCGA-1", "iM.data_AGCCAATTCTCCAATT-1", "iM.data_CGGAATTCACATGACT-1", "iM.data_TGGATGTCAGGTTCGC-1", "iM.data_CAATGACGTTGTGTTG-1", "iM.data_GTAAGTCGTCGACTTA-1", "iM.data_CGATCGGGTCACCACG-1", "iM.data_CCATCACTCGATGCAT-1", "iM.data_CGAGAAGAGCAGCCTC-1", "iM.data_AGCTCAAGTAGTCTGT-1", "iM.data_TTGGGATTCCCTCGAT-1", "iM.data_GGGCCATTCGATCCAA-1", "iM.data_GGGACAACACAGTATC-1", "iM.data_CGGAACCTCCACGGAC-1", "iM.data_AGTCTCCTCCTCAGAA-1", "iM.data_GCAACATGTAGGAAAG-1", "iM.data_TTCCTAAGTCTTCATT-1", "iM.data_TCCTAATCAGCAGTTT-1", "iM.data_TCAATTCGTCCTTGTC-1", "iM.data_ACCACAACAGCTGAGA-1", "iM.data_AGGAGGTGTATGAGAT-1", "iM.data_GTAGGTTCAACCCTCT-1", "iM.data_GGTAGAGAGTACGTCT-1", "iM.data_CAGCAATTCAACTTTC-1", "iM.data_GGGTTTAGTGAGGCAT-1", "iM.data_TACTTACCACAGAGCA-1", "iM.data_TATCGCCAGAAGTATC-1", "iM.data_GACCGTGAGGGACAGG-1", "iM.data_CCTTGTGCAGTGTATC-1", "iM.data_TTCGCTGAGAGTTGAT-1", "iM.data_TGGAGGAGTATGGTAA-1", "iM.data_TCTATACTCGACATAC-1", "iM.data_TATCGCCTCTTTGATC-1", "iM.data_CCTCCTCCATAGAGGC-1", "iM.data_GTTGTCCTCCCTCGTA-1", "iM.data_CTCCGATTCTCGTGAA-1", "iM.data_TGCTCCACATACAGAA-1", "iM.data_TTGCTGCTCTCTCAAT-1", "iM.data_GTGAGGATCTATTTCG-1", "iM.data_TCCTCTTGTTCTCCAC-1", "iM.data_CCCTGATAGCGACTTT-1", "iM.data_AGACACTGTGTTCATG-1", "iM.data_AGAACCTCATACCAGT-1", "iM.data_GAGTTGTCACTAACGT-1", "iM.data_TTTCATGCAGCATCTA-1", "iM.data_CCATCACTCTTTCAGT-1", "iM.data_ACTGTCCTCAAGAGGC-1", "iM.data_ACCAACACAGAATGTA-1", "iM.data_TGGATCATCGTTCTGC-1", "iM.data_ATGCCTCCACAGCCTG-1", "iM.data_CATTGAGTCTGCACCT-1", "iM.data_TCAATTCTCCGCACGA-1", "iM.data_AGCCAATTCATTTACC-1", "iM.data_CATCCCAGTTCGTAAC-1", "iM.data_GTCCTCACAGGTGACA-1", "iM.data_TCACGGGCATGGACAG-1", "iM.data_ATACCGACATCTCGTC-1", "iM.data_AGAGCCCTCAAGCTTG-1", "iM.data_TGGCGTGCAAGGGCAT-1", "iM.data_TGTTGGACAAAGGCTG-1", "iM.data_CATACCCCAAGAGTTA-1", "iM.data_CCGGTGAGTATTTCTC-1", "iM.data_TGCTCGTAGCCTCTGG-1", "iM.data_GCCAGGTTCACCTCAC-1", "iM.data_GCTGAATAGAAACTGT-1", "iM.data_AGGGTCCTCTACGGTA-1", "iM.data_AGACACTGTTAGTCGT-1", "iM.data_GTCTCACGTCAACACT-1", "iM.data_CGAGGAACAGAATGTA-1", "iM.data_CTTCAATTCAATGCAC-1", "iM.data_TGGGCGTTCACATTGG-1", "iM.data_CTCCTTTTCCAGTTCC-1", "iM.data_AAAGTGAGTTGTACGT-1", "iM.data_GACGCTGTCCGTTGGG-1", "iM.data_AATGGCTCACAACGAG-1", "iM.data_GCTCAAACAGGGAATC-1", "iM.data_CATTCCGTCGTCGACG-1", "iM.data_GCGGATCGTATTAAGG-1", "iM.data_AGTGTTGCACCTGCAG-1", "iM.data_CTTCTAAAGGCACTAG-1", "iM.data_GCAACATCAAATGGAT-1", "iM.data_TATCTTGTCGGCTTCT-1", "iM.data_TGGCGTGAGTAGAATC-1", "iM.data_TTTATGCGTCATACCA-1", "iM.data_GCAGCCATCACCGGTG-1", "iM.data_ATCATTCTCGGCTTCT-1", "iM.data_CAATGACTCCCGTTCA-1", "iM.data_GGGCTCAAGTTGGGAC-1", "iM.data_TCAGCAAGTGGATGAC-1", "iM.data_TACAACGCATGGCTGC-1", "iM.data_ACGGTTACAGGAGACT-1", "iM.data_GAGTCATTCTTGGAAC-1", "iM.data_TCATCCGCATGAGTAA-1", "iM.data_AGCGATTGTACCTAGT-1", "iM.data_TCGCTCACAAGTGCAG-1", "iM.data_TTGATGGTCCTTATGT-1", "iM.data_AGTCAACAGTTGCCCG-1", "iM.data_CGGAACCGTCACCCTT-1", "iM.data_TTGCATTAGATAGTGT-1", "iM.data_GACATCAGTGTCCGGT-1", "iM.data_GGGTGTCAGCTCCGAC-1", "iM.data_TGATTCTGTAACAGTA-1", "iM.data_GCCAGGTGTTAAGACA-1", "iM.data_CTTGATTCACCTCTAC-1", "iM.data_GCGGAAAGTGCGAACA-1", "iM.data_CATGCTCCAAACCACT-1", "iM.data_TCGGGTGGTTACACTG-1", "iM.data_CACGTTCGTTGTAGCT-1", "iM.data_CAAGGGAGTTGAGAGC-1", "iM.data_TAGACTGCACTTGTCC-1", "iM.data_TCAGTTTAGACCATTC-1", "iM.data_GAGAGGTAGTGATAGT-1", "iM.data_GTTAGACGTACAGCGA-1", "iM.data_ATTCCATTCTGACAGT-1", "iM.data_CATTCATGTTCTCCAC-1", "iM.data_TGTGGCGTCACTCGAA-1", "iM.data_GGGACAAAGAGATCGC-1", "iM.data_CGGGTCACAAACCATC-1", "iM.data_CAGGTATTCGGAAACG-1", "iM.data_CACAACATCCATTGGA-1", "iM.data_GCCAACGCAATAAGGT-1", "iM.data_AGACCCGAGCACCCAC-1", "iM.data_ACATTTCGTATCCCTC-1", "iM.data_CTTGATTCACTATGTG-1", "iM.data_TACAACGTCGAGTGGA-1", "iM.data_GTCCTCACAGACCCGT-1", "iM.data_CATTGTTCAACACAGG-1", "iM.data_ACAGGGAAGCGTCTGC-1", "iM.data_TCTCACGTCTCTGAGA-1", "iM.data_CTGTATTAGTGAACAT-1", "iM.data_ATCACTTTCCAGCCTT-1", "iM.data_AGCCAATGTATTCTCT-1", "iM.data_TGCTTCGGTGGCAGAT-1", "iM.data_CCGGGTAAGGTTGAGC-1", "iM.data_TCCATCGCAATTGCTG-1", "iM.data_TAATTCCAGCCTCTCT-1", "iM.data_TGCTTGCTCGGACCAC-1", "iM.data_TGGATCACAACATCGT-1", "iM.data_TGGTAGTTCCGCACGA-1", "iM.data_CAATTTCAGACCTCCG-1", "iM.data_CACTTCGCATACCAGT-1", "iM.data_TAGACCATCGCACGAC-1", "iM.data_CATCCGTTCAGTAGGG-1", "iM.data_CCACTTGTCTTCTGTA-1", "iM.data_CGCAGGTAGCGTTCAT-1", "iM.data_GGCACGTTCACTCACC-1", "iM.data_ACCCTCAAGACTTAAG-1", "iM.data_ACACAGTCAGCACAGA-1", "iM.data_GACGTTATCTACCACC-1", "iM.data_GTGTAACTCGTGGCTG-1", "iM.data_CGTTCTGTCTACTTCA-1", "iM.data_AGATGCTGTACAGTTC-1", "iM.data_ACTTCGCTCACCTACC-1", "iM.data_CTCTCAGCACACGGTC-1", "iM.data_GGGTCACTCGCAGTTA-1", "iM.data_GGAGCAAAGCCTTTCC-1", "iM.data_ACCTGAATCAGTGATC-1", "iM.data_AGTTAGCCACTTCCTG-1", "iM.data_CCTATCGCAACAAAGT-1", "iM.data_TCCTCCCAGAGATCGC-1", "iM.data_ACCCAAAAGAACTTCC-1", "iM.data_CAAGAGGCAACGGCTC-1", "iM.data_GTAGCTACACTGAGGA-1", "iM.data_TGCATCCTCAGTGTTG-1", "iM.data_CTATCTAGTTTGGAAA-1", "iM.data_CCTCACAGTCCACATA-1", "iM.data_GCACGGTTCGAGCCTG-1", "iM.data_GGGTTTAAGCTAAGTA-1", "iM.data_AAGTACCGTTTCGATG-1", "iM.data_TCGTAGAGTCCCTCAT-1", "iM.data_ACTTAGGAGACAACTA-1", "iM.data_TTGCCTGTCTCACTCG-1", "iM.data_GTAGAGGCACGGCCAT-1", "iM.data_GAGACCCAGGCGTTAG-1", "iM.data_GGGAAGTGTTAAGCAA-1", "iM.data_TTACGCCGTAGCGTCC-1", "iM.data_GCCTGTTTCTCGGTCT-1", "iM.data_CCCAACTAGGCTTAAA-1", "iM.data_AACAACCGTTAAGACA-1", "iM.data_TAGACCAGTGTCGCTG-1", "iM.data_GCAGTTAGTCCACTTC-1", "iM.data_CTCCACAAGCGCTGCT-1", "iM.data_AGGCCACCACGGGTAA-1", "iM.data_ATTACCTAGCGAGTCA-1", "iM.data_GTCATTTAGTTCACTG-1", "iM.data_AAATGGAAGTAAGACT-1", "iM.data_CTTCTAACAAGCGAGT-1", "iM.data_AGCGTATAGTCGTTAC-1", "iM.data_CGACAGCAGGCCTGAA-1", "iM.data_GGATCTACAGATCCTA-1", "iM.data_AAGCATCAGCTTAAGA-1", "iM.data_TAAGCACAGTCCGTCG-1", "iM.data_TAAGCGTCAACTAGAA-1", "iM.data_CGTAGTAAGACCCGCT-1", "iM.data_GTGATGTTCGCATAGT-1", "iM.data_TCAAGTGGTGTTGAGG-1", "iM.data_CTTACCGTCAAGCTTG-1", "iM.data_GCGAGAAGTAGAGGAA-1", "iM.data_TTCCGTGTCCAACCAA-1", "iM.data_CAGTTCCTCCCGAATA-1", "iM.data_TTTGACTTCTTCTAAC-1", "iM.data_TTACAGGAGACATACA-1", "iM.data_ATTTCACGTTGTTGAC-1", "iM.data_AGGCCACTCCGTACGG-1", "iM.data_CAGATACTCCCGAGGT-1", "iM.data_CGTCCATCACGAAGAC-1", "iM.data_ACTTCGCGTATCGCGC-1", "iM.data_CATTCCGCATTAGGAA-1", "iM.data_TTGAGTGGTCCTCAGG-1", "iM.data_TGGTACAGTTCGTGCG-1", "iM.data_AGACTCACATGAAAGT-1", "iM.data_TGGTACAGTTGCAAGG-1", "iM.data_AGGAGGTCAAAGACGC-1", "iM.data_CAATACGAGAAGAACG-1", "iM.data_AATGGAATCCGAGCTG-1", "iM.data_GTACAGTCATCTCGTC-1", "iM.data_GACACGCCATCTAACG-1", "iM.data_CTGTACCAGTCTCGTA-1", "iM.data_TCCCATGAGGGCAGGA-1", "iM.data_ATACCTTCACATAACC-1", "iM.data_GAGTTACTCTCGCTCA-1", "iM.data_TGGGAAGCAAGCACAG-1", "iM.data_CCTCACAGTCCAAATC-1", "iM.data_TAGGGTTTCTCGCTCA-1", "iM.data_ACATGCATCCTCTCGA-1", "iM.data_GAGTTTGTCGATGCAT-1", "iM.data_TTACGCCGTTTCTATC-1", "iM.data_AGGGCCTCACAGACGA-1", "iM.data_CTCATTACAATGTTGC-1", "iM.data_AGTCTCCTCATGCTAG-1", "iM.data_GAGATGGCAGACACAG-1", "iM.data_TCCAGAAGTAGCGTAG-1", "iM.data_CTGGTCTTCCAACTGA-1", "iM.data_ATCAGGTGTGACGTCC-1", "iM.data_GCGATCGCATCATTGG-1", "iM.data_CAGCCAGTCCGTGCGA-1", "iM.data_TGGGTTAGTCCAAAGG-1", "iM.data_CATCGCTAGTAAAGCT-1", "iM.data_GCCCGAAAGAACAGGA-1", "iM.data_CATGGTATCTGCATAG-1", "iM.data_GCACTAATCCATTTCA-1", "iM.data_AAACGAAAGCTAGTTC-1", "iM.data_TTCCTTCCAGACCGCT-1", "iM.data_ACACGCGTCCAAGAGG-1", "iM.data_ACGATGTCAATATCCG-1", "iM.data_CCTAAGATCTGGACCG-1", "iM.data_GGAGGTACATTCTCTA-1", "iM.data_TTGCCTGAGGGTTGCA-1", "iM.data_TCATTACGTGCACAAG-1", "iM.data_GTATTTCAGCCTCTCT-1", "iM.data_GTCCCATTCCAGCAAT-1", "iM.data_GTCAAACAGATACATG-1", "iM.data_GAAGTAACATGACGGA-1", "iM.data_CTTGATTTCGAACGGA-1", "iM.data_ACGGTTAAGGTACATA-1", "iM.data_AGCATCATCCGATAAC-1", "iM.data_CATGGATGTTTGGGTT-1", "iM.data_TACGCTCTCCTTCTGG-1", "iM.data_GTCATCCCAGGTTCGC-1", "iM.data_CTCACTGAGGTGCTGA-1", "iM.data_TGAATCGGTAGGTAGC-1", "iM.data_CACGTGGCAGCCTACG-1", "iM.data_TTACGTTCATCTTCGC-1", "iM.data_TACCCACCAGAGAATT-1", "iM.data_GACCTTCTCATCGTAG-1", "iM.data_GTAATCGCAGACATCT-1", "iM.data_AGTCTCCTCCAGTGCG-1", "iM.data_GCTTGGGCACATTGTG-1", "iM.data_GCTACCTTCACCTCTG-1", "iM.data_GTAGAAAAGGGATCTG-1", "iM.data_GTCATGAAGTCCCGGT-1", "iM.data_TAACACGTCCTATTTG-1", "iM.data_ATCCGTCTCGCTACAA-1", "iM.data_GCTACAACACAGCCAC-1", "iM.data_GTATTTCCATCCTCAC-1", "iM.data_TCTCTGGGTTCCTACC-1", "iM.data_AGAAATGTCCGAGTGC-1", "iM.data_TTCATTGTCATGTCTT-1", "iM.data_CCACGTTCATCGTCCT-1", "iM.data_AGATGAACAATGCAGG-1", "iM.data_ACAGCCGCAGTGAGCA-1", "iM.data_AGTTCCCTCCCATAAG-1", "iM.data_CCGGTAGCAATGTTGC-1", "iM.data_CGGACACGTATTCCTT-1", "iM.data_ACGTAGTTCCACTAGA-1", "iM.data_GGGATCCAGCCTTTGA-1", "iM.data_TATACCTTCCCAACTC-1", "iM.data_GAATCGTCAGGAGGTT-1", "iM.data_GTAATGCGTCCGTACG-1", "iM.data_TACACCCGTGCCGGTT-1", "iM.data_TTCACGCAGCAACAAT-1", "iM.data_AGGGTCCCATGAATCC-1", "iM.data_GTCATGACACCGTACG-1", "iM.data_TACATTCTCGGTGCAC-1", "iM.data_CACTAAGTCCGTAGGC-1", "iM.data_GGGCTACCATCCTATT-1", "iM.data_TCATTACCAACCCTAA-1", "iM.data_TACGGGCAGTATAACG-1", "iM.data_CTGCCTAGTCCTCCAT-1", "iM.data_GTCAAACGTATTTCTC-1", "iM.data_TCAATTCTCGGATAAA-1", "iM.data_CTCCACATCCGTGACG-1", "iM.data_GAGGGTATCGTGGACC-1", "iM.data_CTCATTATCATTCACT-1", "iM.data_TTGAACGAGCTAAACA-1", "iM.data_CAACCAATCTGGGAGA-1", "iM.data_AGAAATGCAATCAAGA-1", "iM.data_CGATGCGAGCGGCTCT-1", "iM.data_CCACACTGTGATTGGG-1", "iM.data_TGTGCGGAGCACCCAC-1", "iM.data_AGTAGTCAGTTGTCAC-1", "iM.data_AACCACACATCAGCAT-1", "iM.data_CGAATTGGTTACGTAC-1", "iM.data_CCGTAGGCAGCGTTGC-1", "iM.data_TCCCACAAGCCTGGAA-1", "iM.data_ACTTTCACATTATGCG-1", "iM.data_AGCTACACATAGAGGC-1", "iM.data_TGGTAGTAGACCTCAT-1", "iM.data_GTCAAACGTTTATGCG-1", "iM.data_TCGCTTGTCGTCCTCA-1", "iM.data_CATTCCGGTATGCTAC-1", "iM.data_GTCCCATGTGATAGTA-1", "iM.data_AAGCGTTTCGCGCTGA-1", "iM.data_CACGTGGCACACACGC-1", "iM.data_CCCTCAACAGTTACCA-1", "iM.data_ATAGACCCAGCTAACT-1", "iM.data_TTCACCGGTTATCTGG-1", "iM.data_ATACTTCTCGAACGCC-1", "iM.data_ATGCATGTCACTACGA-1", "iM.data_ACAGGGAAGCTGTCCG-1", "iM.data_TATATCCAGGTGCCTC-1", "iM.data_CACGTTCGTATTGACC-1", "iM.data_TGACTCCTCTGAATGC-1", "iM.data_TTGGGCGCATACTGTG-1", "iM.data_AAAGGGCGTTCTGAGT-1", "iM.data_TAGGGTTCACTCTAGA-1", "iM.data_ATTCAGGTCTCATGCC-1", "iM.data_GTGTGATCAGTTGCGC-1", "iM.data_TCGCAGGGTTATAGAG-1", "iM.data_AGACAGGAGAGGTGCT-1", "iM.data_TAATCTCGTGGCATCC-1", "iM.data_AAATGGACACTTCTCG-1", "iM.data_CATGCAACATGACGAG-1", "iM.data_TAACGACGTAACACCT-1", "iM.data_GATGATCCAACTGCCG-1", "iM.data_CGGAATTCACTTCAGA-1", "iM.data_GGAATCTGTGGGCTCT-1", "iM.data_TTGACCCAGGCAGGTT-1", "iM.data_TGCAGGCCATAGATGA-1", "iM.data_GATGTTGAGCCTAACT-1", "iM.data_ATGTCCCCATGCCGCA-1", "iM.data_CATCCACGTTGTATGC-1", "iM.data_TCCTTTCCACGCGTGT-1", "iM.data_CGCATAATCAACTGGT-1", "iM.data_GAGGCAAGTCGCAGTC-1", "iM.data_CACGTTCTCGCCTTGT-1", "iM.data_TCATTCAGTTGCTCCT-1", "iM.data_AAGTACCTCATGCCCT-1", "iM.data_TTCAATCCACGTGTGC-1", "iM.data_CCCAACTAGCACACAG-1", "iM.data_TAACGACCATCGCTCT-1", "iM.data_ATCCCTGGTCTCAGGC-1", "iM.data_TCTGCCATCCAGTGTA-1", "iM.data_CGCCATTCATAAGCAA-1", "iM.data_AAGACAAGTATCGCGC-1", "iM.data_TATATCCCAATCCAGT-1", "iM.data_TGCTGAACATCGATCA-1", "iM.data_TGAGGTTCAGCACCCA-1", "iM.data_TTCTTCCTCGCCTATC-1", "iM.data_TTCCTCTTCGAAGCCC-1", "iM.data_TAGTGCATCGCAGTTA-1", "iM.data_TGCTTGCAGGCAATGC-1", "iM.data_ATCGTAGCAAGCAATA-1", "iM.data_CAGATCAGTGATTAGA-1", "iM.data_CTTTCAACACACACGC-1", "iM.data_AAAGGATCAACGGCTC-1", "iM.data_CGAGTTATCGGCCCAA-1", "iM.data_TTGTGGAGTGCCTACG-1", "iM.data_GATTTCTGTTGCACGC-1", "iM.data_GGGCCATTCGTTCATT-1", "iM.data_TGTAAGCTCCCGTAAA-1", "iM.data_TTCCAATGTCGCCTAG-1", "iM.data_TACATTCTCGCACGAC-1", "iM.data_TCATACTGTAGCTTGT-1", "iM.data_TCACATTCATGAATCC-1", "iM.data_TCCTGCATCCGTACGG-1", "iM.data_CATTCATCAAAGGCGT-1", "iM.data_TATCTTGAGCCTGAGA-1", "iM.data_AGAAATGTCAAGCCCG-1", "iM.data_TCACTATTCTGGGCCA-1", "iM.data_GCGTGCAAGACCAGCA-1", "iM.data_ATGAAAGCATGATCTG-1", "iM.data_CATTGTTAGCAACTCT-1", "iM.data_AAGACAAGTATTGGCT-1", "iM.data_CACGTTCAGGTTCATC-1", "iM.data_TGCAGGCTCATCTGTT-1", "iM.data_ATCCACCCAGGCATTT-1", "iM.data_CTCATCGCATTCATCT-1", "iM.data_TTCCACGCACTGAGGA-1", "iM.data_CCGTTCAGTTTGCCGG-1", "iM.data_AGGCTGCTCTCCCATG-1", "iM.data_CATCAAGCAAGGCAAC-1", "iM.data_GTTCTATAGGCACTCC-1", "iM.data_GACTGATTCATGACAC-1", "iM.data_TGACGCGGTCCATCTC-1", "iM.data_GAGTTGTAGACCATTC-1", "iM.data_CTCCATGGTCCACAGC-1", "iM.data_AACCAACAGCTAGCCC-1", "iM.data_TACTGCCAGAAACCCG-1", "iM.data_AGGACGACACTGTGAT-1", "iM.data_TGCCGAGTCTATCGCC-1", "iM.data_AGGTTACTCTGCACCT-1", "iM.data_CATACAGCATAGTCAC-1", "iM.data_AGGGTTTAGGCTTCCG-1", "iM.data_ATGGGAGAGTCTACCA-1", "iM.data_AAGAACAGTGCGAACA-1", "iM.data_AGTGCCGGTTAATGAG-1", "iM.data_CGAGGAACAGCTGCCA-1", "iM.data_CCTCTCCCAACGACTT-1", "iM.data_CAATTTCAGCAATTAG-1", "iM.data_TCAGCCTGTCTGCGCA-1", "iM.data_GCCTGTTCAACGACTT-1", "iM.data_TTGTGGATCCGAAGGA-1", "iM.data_ACTTCCGTCACGATCA-1", "iM.data_GAAGAATAGACCTCAT-1", "iM.data_CTCACTGGTGTCCACG-1", "iM.data_GTAATGCAGGTTGGTG-1", "iM.data_CCACTTGCAACCAATC-1", "iM.data_CATAGACCATACAGCT-1", "iM.data_TACGGGCTCACGGACC-1", "iM.data_ATGGATCCATCGCCTT-1", "iM.data_TCACACCTCTCTCTTC-1", "iM.data_GAATCGTTCAGTCATG-1", "iM.data_CTAAGTGCACGATTCA-1", "iM.data_CTCATCGAGGCTGAAC-1", "iM.data_TCGCAGGTCTCGGTCT-1", "iM.data_TCAAGACTCGGATTAC-1", "iM.data_GCCATTCAGTCACACT-1", "iM.data_GTCCACTTCCAGCTCT-1", "iM.data_CCTCAACAGATTGAGT-1", "iM.data_AAGCGTTAGCAGAAAG-1", "iM.data_AGTGATCTCGTCCATC-1", "iM.data_GACCGTGGTTACGATC-1", "iM.data_TGTTCATAGGTTAAAC-1", "iM.data_CCTAACCCACTGAATC-1", "iM.data_GTAAGTCCAACGACAG-1", "iM.data_TCAAGCACATCATTGG-1", "iM.data_GGGCGTTTCTCTGCTG-1", "iM.data_AATCACGTCCTAAACG-1", "iM.data_TTTCACAGTTGCTTGA-1", "iM.data_TAGACTGCATTGACCA-1", "iM.data_CGAGTTATCAGCTTCC-1", "iM.data_CCCGAAGTCCACCCTA-1", "iM.data_AGACACTAGAACAAGG-1", "iM.data_GTTAGTGCAAGATGGC-1", "iM.data_CACCGTTTCCTAGCCT-1", "iM.data_TATTGCTAGTCTAACC-1", "iM.data_AACGGGAGTACTCGAT-1", "iM.data_CTACTATAGGGTCACA-1", "iM.data_TCTGGCTTCAAGGCTT-1", "iM.data_GTGTCCTCACGTAACT-1", "iM.data_ACTTCGCTCCTCAGAA-1", "iM.data_TAGGTTGGTAGTGGCA-1", "iM.data_TCGGGACTCTAGTGTG-1", "iM.data_CCACACTCAACACAAA-1", "iM.data_TAGACCAGTTAGGACG-1", "iM.data_TAAGCCAAGCTAGAAT-1", "iM.data_GACACGCTCCTCACTG-1", "iM.data_ACATTTCAGCCATTCA-1", "iM.data_TTGTTGTGTAACATGA-1", "iM.data_AACGTCAGTCATCGGC-1", "iM.data_CTACGGGAGTGCGACA-1", "iM.data_GGTGTTAGTCACGACC-1", "iM.data_GTCACTCAGCATATGA-1", "iM.data_ACGTCCTCACCGTGCA-1", "iM.data_GTCACTCCATGTTCGA-1", "iM.data_ACGGTCGAGTGTTCCA-1", "iM.data_ATGAAAGTCCAAGAGG-1", "iM.data_CAATACGAGTTTGAGA-1", "iM.data_CATGCAAAGTATGGCG-1", "iM.data_GGGATCCCAGCTTTCC-1", "iM.data_TATCTGTTCAACCTTT-1", "iM.data_TCAATTCGTGCCGTTG-1", "iM.data_ATCGTAGCAGGCTCTG-1", "iM.data_AATGGCTGTTGCACGC-1", "iM.data_GCCCGAAAGAACCCGA-1", "iM.data_GACCAATTCGCTGTTC-1", "iM.data_TGGGAAGTCACTGTCC-1", "iM.data_ACCCAAAAGGTTACCT-1", "iM.data_ATACCTTTCTACCCAC-1", "iM.data_AGACAAAGTAGACTGG-1", "iM.data_GCTACAAAGGGACCAT-1", "iM.data_TTACGCCCAGAACTCT-1", "iM.data_GTCATGAGTCGATTTG-1", "iM.data_TATTTCGCAAGGCTTT-1", "iM.data_ACTATGGGTGAGTAAT-1", "iM.data_GAGCTGCTCTGCACCT-1", "iM.data_GAATCACGTAGACGGT-1", "iM.data_TTCTTCCAGGCATCTT-1", "iM.data_GGTCACGGTTAAACAG-1", "iM.data_AGTGTTGAGTATTGCC-1", "iM.data_ACCCAAATCACCTTAT-1", "iM.data_TAGCACATCCTTATAC-1", "iM.data_CATGAGTAGCAACCAG-1", "iM.data_TCGAACAAGCCTGCCA-1", "iM.data_GTGTGGCCACGAAAGC-1", "iM.data_AAGCGAGAGATGACCG-1", "iM.data_GAGACCCCATAACGGG-1", "iM.data_CATACCCCAAACACGG-1", "iM.data_TCAGGTACAGCTTTGA-1", "iM.data_TGTCCCACAAAGCTAA-1", "iM.data_TCATTCAGTCATCAGT-1", "iM.data_ACCAAACTCAAACGAA-1", "iM.data_GTTACCCCAGGAGGTT-1", "iM.data_TCTACCGGTTACACAC-1", "iM.data_GGAGATGAGTCAGGGT-1", "iM.data_CAACAACGTCGCATGC-1", "iM.data_TGTCCACCACCGTGAC-1", "iM.data_CCAATGATCACGGAGA-1", "iM.data_TCGAACATCTAGCCAA-1", "iM.data_CATTGAGTCCCTTCCC-1", "iM.data_TATCGCCGTCTACACA-1", "iM.data_CATTCCGGTATGGAAT-1", "iM.data_CTTACCGGTCCTATAG-1", "iM.data_GGGCTCACAACGACTT-1", "iM.data_CTCAGTCCATCGGCCA-1", "iM.data_AAGATAGTCCGGCAGT-1", "iM.data_AGGACTTGTGCAACAG-1", "iM.data_CCTCTCCGTTGCCGAC-1", "iM.data_GCCCAGAGTTCGTACA-1", "iM.data_GTCAAACCAGTATACC-1", "iM.data_CAGCAGCCAGAGTTCT-1", "iM.data_GCAACCGTCCATGATG-1", "iM.data_GGGTGTCTCCAAGCAT-1", "iM.data_GGGTGAACATCTTCGC-1", "iM.data_ATTCCTATCCATAGGT-1", "iM.data_CTCCTCCCATAACAGA-1", "iM.data_ACAGCCGGTCCTGGGT-1", "iM.data_TAGACTGTCATGCCAA-1", "iM.data_TACCCACCACCGGCTA-1", "iM.data_AACAGGGAGCCTGAGA-1", "iM.data_ATGGGAGGTCATGGCC-1", "iM.data_GGGACTCAGCGATTCT-1", "iM.data_CCATCACTCCAGCCTT-1", "iM.data_GTGGAGAGTCTTGAAC-1", "iM.data_GACACGCCACACCTAA-1", "iM.data_CATCCCAAGGACAACC-1", "iM.data_GAAGCGAGTAGCTGCC-1", "iM.data_CACTGTCTCTCATGCC-1", "iM.data_TGTCCACGTGACATCT-1", "iM.data_ATCGTCCCAGACCATT-1", "iM.data_CAGTTCCCAAGTTCCA-1", "iM.data_GACTTCCGTTACACAC-1", "iM.data_TGTCCACGTCAGCTTA-1", "iM.data_GCTACCTGTACATACC-1", "iM.data_ACAACCAAGCCAACCC-1", "iM.data_TCATGCCTCTATTCGT-1", "iM.data_GCTTGGGCAGAAGTTA-1", "iM.data_GCCAGGTCATAGATCC-1", "iM.data_TCCGGGAGTTCACGAT-1", "iM.data_TAACCAGGTGATAGTA-1", "iM.data_CAACGGCAGGAACGAA-1", "iM.data_CCTCTCCGTGCGGTAA-1", "iM.data_GCAGGCTCATGATAGA-1", "iM.data_TAACACGAGTCAGAGC-1", "iM.data_CAGAGCCCAACCGCTG-1", "iM.data_GAAGGACCACCTCAGG-1", "iM.data_GGTTGTATCTCAACCC-1", "iM.data_TCTGCCACAGTTCTAG-1", "iM.data_TTTCACAGTCACTGAT-1", "iM.data_GAATCACTCCTCTCTT-1", "iM.data_AGACCATCACTACTTT-1", "iM.data_TTCTGTACATCGGCCA-1", "iM.data_GAACACTTCCGTAATG-1", "iM.data_TAAGTCGTCCTTCTGG-1", "iM.data_TCGACCTTCTACGCAA-1", "iM.data_CTTGATTTCAAGATAG-1", "iM.data_CCTTCAGTCAGTCACA-1", "iM.data_CAATACGCACTTGTGA-1", "iM.data_CATTGCCCACTGATTG-1", "iM.data_TCAGCCTTCTTCACGC-1", "iM.data_CCGGTGACATCCTTCG-1", "iM.data_AATGACCAGTTCACTG-1", "iM.data_ATGTCTTTCCAATCCC-1", "iM.data_CCACTTGCACAGTACT-1", "iM.data_AGGAGGTTCGTAGGGA-1", "iM.data_CCTCTAGCAACCCTCT-1", "iM.data_GATCAGTGTGCATTAC-1", "iM.data_CTTCTAACACCTCTAC-1", "iM.data_TTTCACATCTCCAAGA-1", "iM.data_ACTTTCACATCCGTGG-1", "iM.data_TCAGTGATCCAATCCC-1", "iM.data_CCCTTAGTCCGATCTC-1", "iM.data_CTCTCAGAGGAACGCT-1", "iM.data_CAAGCTACATAAGCGG-1", "iM.data_TGGATCAAGCATCCCG-1", "iM.data_GCAACCGAGTCGTTAC-1", "iM.data_CAGATACCACATCCCT-1", "iM.data_TCCACCACAGTTCCAA-1", "iM.data_AGTGACTAGCGACTGA-1", "iM.data_CCGTTCACAGCCGTTG-1", "iM.data_ACAAGCTAGTACTGGG-1", "iM.data_CTAGACATCCTTCAGC-1", "iM.data_TCGCTCAAGGGCAATC-1", "iM.data_ACCCAAAGTTCGTAAC-1", "iM.data_CACTGTCCAGAGTTCT-1", "iM.data_TCCACGTTCAGTGATC-1", "iM.data_CATTGAGTCCCGAATA-1", "iM.data_TCCTCGACAGTAACGG-1", "iM.data_AGAGCAGCATAGGCGA-1", "iM.data_CTTCCGAGTCGCAGTC-1", "iM.data_TCATCATCAGTGAGCA-1", "iM.data_AGAGCAGCAGAGGCTA-1", "iM.data_TTACCATCAATGAAAC-1", "iM.data_GGTAACTAGGTTACAA-1", "iM.data_CAATGACAGTATAGAC-1", "iM.data_AGAACAACAGCGGTCT-1", "iM.data_AGGTGTTCAACAGAGC-1", "iM.data_AGACACTCAGCGACCT-1", "iM.data_ACCAACATCGTTCTGC-1", "iM.data_CAGCAATTCCGAGGCT-1", "iM.data_ATTCCTATCTGAACGT-1", "iM.data_AAGTTCGAGTACTGGG-1", "iM.data_ACCTGTCTCCGTGTAA-1", "iM.data_TTACGTTTCAAACGTC-1", "iM.data_AACGAAAAGCTAGTTC-1", "iM.data_ATCCATTTCGACCTAA-1", "iM.data_TCACTATAGAAATGGG-1", "iM.data_CGGGTCATCCCTCTCC-1", "iM.data_AGACAGGGTTATCCAG-1", "iM.data_GAACTGTCAATGTCAC-1", "iM.data_AGGGTGAAGCTTCTAG-1", "iM.data_AGAACAATCCAGTGCG-1", "iM.data_TGGATGTTCTGGTGCG-1", "iM.data_TGCATCCCATCTGGGC-1", "iM.data_TCACACCCAGCTGTTA-1", "iM.data_ACTACGAGTGCAAGAC-1", "iM.data_CTGCAGGAGCTATCCA-1", "iM.data_TGTCAGAGTAGACACG-1", "iM.data_TTCATTGTCAAGAGTA-1", "iM.data_TATTGGGCATACTGTG-1", "iM.data_TACTTACTCCACGTCT-1", "iM.data_AACGGGAAGATCACTC-1", "iM.data_AACAAGACACCTCGTT-1", "iM.data_CTTCCTTTCGAACACT-1", "iM.data_CATCCACCACAAATCC-1", "iM.data_GGAGGTAGTAACCCTA-1", "iM.data_AGGGTGATCACCGCTT-1", "iM.data_CAGGGCTCAACGACTT-1", "iM.data_CGTTAGACATCGGTTA-1", "iM.data_CCACTTGTCCCAATAG-1", "iM.data_CGGGTGTTCTCGTTTA-1", "iM.data_CTGCAGGCAAGCTGCC-1", "iM.data_TCGAACAGTCTCCTGT-1", "iM.data_ATGGGAGCATAGAAAC-1", "iM.data_CAACAACCAAGTTTGC-1", "iM.data_GCAACCGGTGCAACGA-1", "iM.data_CATTGCCCAGGGATAC-1", "iM.data_ACACGCGAGTTCATGC-1", "iM.data_TACGGGCCAACATACC-1", "iM.data_GCGGAAATCTAGCAAC-1", "iM.data_TACACCCTCCATTCAT-1", "iM.data_GCATGATCAAATACGA-1", "iM.data_TCACGGGAGAAACACT-1", "iM.data_TCATTACAGTGCAAAT-1", "iM.data_TGCAGTATCGCTCTAC-1", "iM.data_CCCTCTCAGTCCCAAT-1", "iM.data_CCACACTCATTAAAGG-1", "iM.data_CAACGGCTCTACTGCC-1", "iM.data_GGTAACTAGCCTTCTC-1", "iM.data_CAGCAATGTCGTCATA-1", "iM.data_GTCTGTCTCTGTGCGG-1", "iM.data_TTGTTGTGTCGGAACA-1", "iM.data_CAAGACTTCCAACACA-1", "iM.data_CATGCGGGTCCCGTGA-1", "iM.data_TGCATCCAGGTGGCTA-1", "iM.data_TCCTGCAGTACCCGCA-1", "iM.data_TCTGGCTCAAGTTTGC-1", "iM.data_ATACCGACATCATTGG-1", "iM.data_CTATCCGAGAGCCGAT-1", "iM.data_TCTCAGCCACGGCTAC-1", "iM.data_TGTCCTGCACCTATCC-1", "iM.data_AGAACAACAGTGGCTC-1", "iM.data_GCTCAAAGTGAGACGT-1", "iM.data_ATCCGTCTCGCACGGT-1", "iM.data_CATTTCAAGCATCCCG-1", "iM.data_CGGACACCAGGAACCA-1", "iM.data_AGGGAGTCACAAGGTG-1", "iM.data_GCTGGGTGTTGAGTCT-1", "iM.data_CATTTCATCCACCCTA-1", "iM.data_CTTAGGAGTGAACTAA-1", "iM.data_ACGGTTACACCAGGTC-1", "iM.data_AACCTGAAGTATTCCG-1", "iM.data_CACACAAAGCCGTTAT-1", "iM.data_TAGAGTCAGGACTAAT-1", "iM.data_GTAAGTCAGGAAAGAC-1", "iM.data_CATGCGGAGGATCATA-1", "iM.data_TACCTCGCAACCAATC-1", "iM.data_CACACAAGTTTACGAC-1", "iM.data_ATGGGTTGTCCCGGTA-1", "iM.data_ACTATTCCAAGACGAC-1", "iM.data_AGACACTCACTCATAG-1", "iM.data_GATAGAACATAGACTC-1", "iM.data_CACTAAGTCTGAATCG-1", "iM.data_CAATCGATCAAAGAAC-1", "iM.data_CGGGTCAAGGGCCAAT-1", "iM.data_AATGGAACAATCTCTT-1", "iM.data_TGTCCTGCAAACCGGA-1", "iM.data_GCAACATGTCTATGAC-1", "iM.data_ACGTACATCCTAGAGT-1", "iM.data_CATGCCTGTTTCGACA-1", "iM.data_CTACGGGTCAGACCCG-1", "iM.data_GTAGCTACACAGCTGC-1", "iM.data_CTCCACACAACTCATG-1", "iM.data_ACCACAATCGTCTACC-1", "iM.data_CTGGCAGTCATTCACT-1", "iM.data_CACAACACATCGAGCC-1", "iM.data_GTGGCGTTCAAGAATG-1", "iM.data_AGAGCCCCATCTAGAC-1", "iM.data_GACAGCCAGAAGCCAC-1", "iM.data_GATAGCTTCCGTTTCG-1", "iM.data_TTGCCTGGTCTTCTAT-1", "iM.data_AACAAAGCAATTGCCA-1", "iM.data_AGTTCGAGTTTCAGAC-1", "iM.data_ATGAGTCTCTAACACG-1", "iM.data_CAGGCCATCACCTACC-1", "iM.data_TCCACCAAGGCTCAAG-1", "iM.data_ATGAAAGTCGAAGCAG-1", "iM.data_TCGCTCACACCTATCC-1", "iM.data_CTTCAATGTACAGAAT-1", "iM.data_CGAATTGTCCGCAAAT-1", "iM.data_ATTCAGGCATACACCA-1", "iM.data_CCACGAGGTTCTGACA-1", "iM.data_GTGAGGATCTGGACTA-1", "iM.data_CCACGTTTCCGCGAGT-1", "iM.data_GCATGATTCACTTCTA-1", "iM.data_GGGTTATCATGCGGTC-1", "iM.data_ACATCCCTCTTCCCGA-1", "iM.data_CATGCTCCACTCCCTA-1", "iM.data_AAGACAATCTTCGACC-1", "iM.data_AACGGGAAGGTCGACA-1", "iM.data_CAGGTATGTCATCAGT-1", "iM.data_GCATCTCAGCCTTCTC-1", "iM.data_GAACTGTGTCACATTG-1", "iM.data_AATCACGAGTACCCTA-1", "iM.data_CCGTGAGAGGTTTACC-1", "iM.data_GCTGAATAGACCATGG-1", "iM.data_AACACACAGCCTCTGG-1", "iM.data_TAACGACCACACGTGC-1", "iM.data_GCCGATGGTCTTCAAG-1", "iM.data_TCAAGACCATGGTGGA-1", "iM.data_GACCAATGTACGTTCA-1", "iM.data_TCCTTTCGTATCAGCT-1", "iM.data_CTACGGGCACTGAATC-1", "iM.data_ATAGGCTCAGCAGTTT-1", "iM.data_AAGGTAAGTATACCCA-1", "iM.data_AGGTTGTCAACGACTT-1", "iM.data_CTAACCCTCCATTTAC-1", "iM.data_CAGTTCCGTCTCAGGC-1", "iM.data_AGTCAACGTCCATCTC-1", "iM.data_ACTTATCGTCTCTCAC-1", "iM.data_AAGTACCAGACCAGCA-1", "iM.data_TCCACGTCAGCTGTCG-1", "iM.data_TGCAGGCTCCCAGGCA-1", "iM.data_TCTATACCATTGACCA-1", "iM.data_AAAGTCCTCATCGTAG-1", "iM.data_CCTTGTGGTGCCTAAT-1", "iM.data_ACTTCGCTCTCTCGAC-1", "iM.data_ACCAAACGTCTGCCTT-1", "iM.data_TCCTTCTTCCATACAG-1", "iM.data_ATCGCCTCAGCCCACA-1", "iM.data_ACCACAATCTCCTGCA-1", "iM.data_CAGCACGTCTCTCGAC-1", "iM.data_AGGATAAGTCCACTCT-1", "iM.data_GTACAACCAGCGGTTC-1", "iM.data_GAGGCCTTCGTTCCCA-1", "iM.data_TCTACATTCCCAGGCA-1", "iM.data_AACAACCAGGCCTGAA-1", "iM.data_TAGGTACCAAACTCTG-1", "iM.data_AACCTGACAAGCTACT-1", "iM.data_GGGCTCACAAGCAGGT-1", "iM.data_GGCTGTGAGCGTACAG-1", "iM.data_GAAATGACAGGTCTCG-1", "iM.data_AGACACTCACCTTCGT-1", "iM.data_CGTTAGACATTACTCT-1", "iM.data_CAGTTCCCAGAGAATT-1", "iM.data_CGGAACCAGGTTCATC-1", "iM.data_CGGACACCACTTGAGT-1", "iM.data_AGGTTACGTATTAAGG-1", "iM.data_GCTGAATCATCCAATG-1", "iM.data_TGATCTTCATCAGCTA-1", "iM.data_GGTAACTGTGGTAACG-1", "iM.data_CAGATTGCAGGCATTT-1", "iM.data_AGGAGGTTCTTTGCTA-1", "iM.data_CTCCCAACAGAACGCA-1", "iM.data_CTAACCCGTATCGATC-1", "iM.data_CTAGACAAGACATCAA-1", "iM.data_AGAAATGCACAACGCC-1", "iM.data_TTTGGAGTCGGAAACG-1", "iM.data_ATCACAGTCCATATGG-1", "iM.data_TAACACGGTCAACCAT-1", "iM.data_TGAGCATGTCGCACAC-1", "iM.data_CCTAACCCACTACTTT-1", "iM.data_CACAACATCAAACTGC-1", "iM.data_CCGATGGGTTCAAACC-1", "iM.data_AGGGTGATCACCGGTG-1", "iM.data_GCACATATCTTCACGC-1", "iM.data_TTACCATTCTTCTCAA-1", "iM.data_ACGTACATCACTGCTC-1", "iM.data_TCCTAATTCGCATTAG-1", "iM.data_TAACACGGTTCGAACT-1", "iM.data_TACACCCTCACACCCT-1", "iM.data_GACCTTCTCACTGAAC-1", "iM.data_TACTTCATCTGTAAGC-1", "iM.data_CTCCTCCCAGCTGTAT-1", "d05.data2_TTCTAGTGTAGTAAGT-1", "d05.data2_TCGACCTTCTCCTGTG-1", "d05.data2_CTGAGCGGTCATATGC-1", "d05.data2_CTCCGATCAGTGAGCA-1", "d05.data2_TGTCAGAGTCGTCGGT-1", "d05.data2_GATCATGTCGTGCAGC-1", "d05.data2_GTGGCGTGTGAGCGAT-1", "d05.data2_GTAATCGAGCGCCGTT-1", "d05.data2_TCGTGGGAGAGTCGAC-1", "d05.data2_GTCGTTCTCGCTTAAG-1", "d05.data2_CTCAAGACAGGCATGA-1", "d05.data2_TAACCAGGTCGTACTA-1", "d05.data2_TCGTGCTAGACCTTTG-1", "d05.data2_TTCTAACGTACCGTCG-1", "d05.data2_GTTAGTGTCTTCGACC-1", "d05.data2_AACAACCCAGAGTCAG-1", "d05.data2_TTCATTGAGCGTCAGA-1", "d05.data2_TATCCTAGTCGAGATG-1", "d05.data2_AAGAACACAATTGGTC-1", "d05.data2_ACCCTTGTCTGTCTCG-1", "d05.data2_CTCATGCTCAATCGGT-1", "d05.data2_TACCCGTAGGGCCCTT-1", "d05.data2_TCCGGGAGTTGAATCC-1", "d05.data2_TTGCGTCGTACAAAGT-1", "d05.data2_AGTCATGTCTAGGCCG-1", "d05.data2_TAGATCGTCAGGAACG-1", "d05.data2_CAGAGCCGTCGTTTCC-1", "d05.data2_GTAACACAGTCGAAAT-1", "d05.data2_TTGCATTTCCTCATAT-1", "d05.data2_GTTACAGGTGACCGTC-1", "d05.data2_AACCTGATCAAGTCGT-1", "d05.data2_AGAACAAGTATGGTAA-1", "d05.data2_CCTCTCCCAGTCGGAA-1", "d05.data2_GTGATGTAGAGTGGCT-1", "d05.data2_AGGTCATGTAGAATGT-1", "d05.data2_CGATCGGCAGTGGTGA-1", "d05.data2_ACAGCCGGTGTAGCAG-1", "d05.data2_GTCAAACCAAATCGTC-1", "d05.data2_ACATCGAAGATCGCTT-1", "d05.data2_AAAGGGCGTCGTTGGC-1", "d05.data2_GGGTGTCAGGAGATAG-1", "d05.data2_CTGGCAGTCCGTTGAA-1", "d05.data2_GTGACGCAGCACGGAT-1", "d05.data2_TCGGGACGTGTACGCC-1", "d05.data2_CGAAGGACATGACTAC-1", "d05.data2_TCTGCCAAGCGCCTTG-1", "d05.data2_CGTGTCTCAGGTGTTT-1", "d05.data2_GGAGGATTCGGCTGAC-1", "d05.data2_ACAGGGAGTCGGTGTC-1", "d05.data2_GAACTGTCAGAACTAA-1", "d05.data2_ATTTCTGCATCCGGCA-1", "d05.data2_TCGAACATCAGACCGC-1", "d05.data2_GTGTTAGGTGGATCAG-1", "d05.data2_TGATCTTGTTTACTGG-1", "d05.data2_TCGGGCATCAGCGTCG-1", "d05.data2_ATTTCTGCATTATGCG-1", "d05.data2_TCATCCGAGTGCGTCC-1", "d05.data2_CGTGTCTTCACTTCTA-1", "d05.data2_GTCACTCCACTTTAGG-1", "d05.data2_TCGCAGGGTTGGGTAG-1", "d05.data2_CAAGCTATCGTAGTCA-1", "d05.data2_GTGTTAGTCGGCCAAC-1", "d05.data2_TTCGATTTCTTCGGAA-1", "d05.data2_AGACACTGTCTAGATC-1", "d05.data2_CGTGCTTCAAGAGTTA-1", "d05.data2_GTGAGTTAGTGTTCAC-1", "d05.data2_TCGACCTCAAAGAGTT-1", "d05.data2_CAGTTAGTCGGCTGTG-1", "d05.data2_TATTTCGAGATGGGCT-1", "d05.data2_GGGTTATAGGAAAGAC-1", "d05.data2_TCGTGGGGTAACACCT-1", "d05.data2_TATCTTGCACGTCGGT-1", "d05.data2_GTTACGAAGGGAGTGG-1", "d05.data2_GTCGCGAAGAGAATCT-1", "d05.data2_GTTACGAGTGATTGGG-1", "d05.data2_TCAAGCAGTAGCGTAG-1", "d05.data2_CGTGCTTCAGCTCATA-1", "d05.data2_CTATCTAGTGAATTAG-1", "d05.data2_ATGATCGGTCTGGTTA-1", "d05.data2_AGGTCATAGTATTCCG-1", "d05.data2_GTACAACAGCAAATCA-1", "d05.data2_GTCTACCTCAAGTCGT-1", "d05.data2_CATCGGGGTCAGTTTG-1", "d05.data2_AAAGGATCATGACGAG-1", "d05.data2_TCTATACGTTTAGAGA-1", "d05.data2_CTCCGATAGCCTGAAG-1", "d05.data2_TCGTAGATCAATCTTC-1", "d05.data2_GTAAGTCCAATCGAAA-1", "d05.data2_CTCTCGAGTCGCATCG-1", "d05.data2_CCGGGTAGTGATTAGA-1", "d05.data2_AGGGTCCCACAATGAA-1", "d05.data2_GATCATGTCACCTCAC-1", "d05.data2_GGGAGATAGAGCAGTC-1", "d05.data2_GTGGCGTCATATACCG-1", "d05.data2_TTAGGGTTCGGCATAT-1", "d05.data2_CAAGAGGTCATGCCAA-1", "d05.data2_TTAGTCTGTGACTAAA-1", "d05.data2_CCCATTGGTTCAAGTC-1", "d05.data2_GCTGGGTGTACGGCAA-1", "d05.data2_GAAATGAGTACAATAG-1", "d05.data2_CCCGGAATCTCTGACC-1", "d05.data2_AGTTAGCGTCGCAACC-1", "d05.data2_CGTTGGGGTGACGCCT-1", "d05.data2_CATCGGGGTTCGAACT-1", "d05.data2_TCGGGCAAGGGCAGAG-1", "d05.data2_CTGCAGGGTATGGAGC-1", "d05.data2_GTGTAACTCCGTAGGC-1", "d05.data2_CACAGGCTCGGCTCTT-1", "d05.data2_AGAGAGCTCTGCGTCT-1", "d05.data2_TACCTCGAGTCTAGCT-1", "d05.data2_AGTGTTGGTATGCGGA-1", "d05.data2_TGGGAAGTCTCGCCTA-1", "d05.data2_GTAACACGTTGGGTAG-1", "d05.data2_GTGAGGAAGACTTCGT-1", "d05.data2_CTGGCAGAGGGCAACT-1", "d05.data2_ATTCATCGTGCATGAG-1", "d05.data2_TCGGGTGGTCCACATA-1", "d05.data2_TACTGCCGTCGTATTG-1", "d05.data2_AATGGCTAGGGTTGCA-1", "d05.data2_AGTACTGCAGAGCTAG-1", "d05.data2_CCGTGAGAGCCAGAGT-1", "d05.data2_GTTGAACCATCGTGCG-1", "d05.data2_AGGGTTTAGGAGAGTA-1", "d05.data2_GGTGAAGAGTTGGGAC-1", "d05.data2_TGGAGAGTCGAGAAAT-1", "d05.data2_GGGTGTCCAGTAGAAT-1", "d05.data2_TGGGAAGTCCATCCGT-1", "d05.data2_TACGTCCGTGTGCCTG-1", "d05.data2_TCGACGGAGACAAGCC-1", "d05.data2_TGACGCGAGAGGCTGT-1", "d05.data2_CAGTTAGGTTCGGCGT-1", "d05.data2_ATTCAGGCAAGAATAC-1", "d05.data2_ATTCCTAGTAGCGTTT-1", "d05.data2_CTTCAATGTGTGCTTA-1", "d05.data2_GGGATGAAGTGTACCT-1", "d05.data2_TTACCATTCGAGTGAG-1", "d05.data2_TCAGTCCGTAGCGAGT-1", "d05.data2_GAATAGATCGCGGACT-1", "d05.data2_CATGCGGCAGATGCGA-1", "d05.data2_GTTGTAGCACGTGTGC-1", "d05.data2_GGAAGTGCAGGTCCCA-1", "d05.data2_ATCCTATAGTCGAAAT-1", "d05.data2_GTATTGGTCTGCGAGC-1", "d05.data2_GTCTACCGTATTGCCA-1", "d05.data2_TGGGAGATCGCAACAT-1", "d05.data2_CTGTGAAAGATTGGGC-1", "d05.data2_CGGGTGTTCCGGTAGC-1", "d05.data2_CATTCATTCGCAATTG-1", "d05.data2_GTTACGAAGAGCTGAC-1", "d05.data2_CCACAAAAGTGCGTCC-1", "d05.data2_TGGTGATGTGGCGCTT-1", "d05.data2_TCGAAGTCAGATTAAG-1", "d05.data2_AGTACTGTCATTGAGC-1", "d05.data2_GTGGAAGGTGCCCGTA-1", "d05.data2_ACCTGAACACGTTCGG-1", "d05.data2_AGGGTGAGTTAAGTCC-1", "d05.data2_TGTCAGACAAGAGAGA-1", "d05.data2_GATTGGTAGCGTCAGA-1", "d05.data2_GTAATGCAGTCCTGTA-1", "d05.data2_CACAGATCAGGCACTC-1", "d05.data2_CACGTGGGTATCCCTC-1", "d05.data2_GGGCTACGTGACAGGT-1", "d05.data2_CAGCCAGAGGATACGC-1", "d05.data2_CTTCGGTTCACTAGCA-1", "d05.data2_AGAGCAGAGCTGTCCG-1", "d05.data2_ACTGCAAAGCTAATGA-1", "d05.data2_TTCTGTAGTATGTCCA-1", "d05.data2_CTTCCGAGTGTCCACG-1", "d05.data2_AGAGCCCTCTGCATAG-1", "d05.data2_AAAGGTAAGCAGTCTT-1", "d05.data2_ATTCTACAGAGGACTC-1", "d05.data2_AAGCATCCACTTGTGA-1", "d05.data2_GGAAGTGCAAGGAGTC-1", "d05.data2_ACTTCGCGTCTTCTAT-1", "d05.data2_TATACCTGTGCTGTCG-1", "d05.data2_CTGAATGGTCGCGTCA-1", "d05.data2_TGCTCGTGTCACCACG-1", "d05.data2_CCCTCAATCTTCGATT-1", "d05.data2_TGTAGACAGGCTTTCA-1", "d05.data2_ATGGGTTGTGTCCGGT-1", "d05.data2_CGGGTCATCTTGGATG-1", "d05.data2_ACGATCATCGTCGCTT-1", "d05.data2_GGGACCTAGTAGGATT-1", "d05.data2_GATAGCTAGGGTAGCT-1", "d05.data2_TGGTTAGGTTAGTTCG-1", "d05.data2_TGCGACGAGGATAATC-1", "d05.data2_AGCCACGTCGTAGTGT-1", "d05.data2_GGTCACGCAACCGTGC-1", "d05.data2_CTCAACCGTTCGTACA-1", "d05.data2_CTGTAGAGTCTAACTG-1", "d05.data2_GAGTTGTGTCAGACGA-1", "d05.data2_GAGTGAGCACGCCAGT-1", "d05.data2_AGAAGTAAGAGCATAT-1", "d05.data2_TTGGATGTCGGATTAC-1", "d05.data2_TGGAGAGTCAGACTGT-1", "d05.data2_CATGCTCAGAGCCGTA-1", "d05.data2_CATACAGGTTACAGCT-1", "d05.data2_GAATCGTGTGTCTTGA-1", "d05.data2_TAGAGTCCAGAGAATT-1", "d05.data2_ACTTATCAGACTGAGC-1", "d05.data2_TCGGGACGTCGCATTA-1", "d05.data2_TAGGGTTAGACGCTCC-1", "d05.data2_GTAGATCAGGAAAGGT-1", "d05.data2_GATGTTGAGAGCATCG-1", "d05.data2_ACCCAAAAGTGTGTTC-1", "d05.data2_CAGTTCCCACGAAGAC-1", "d05.data2_GCGATCGGTATGTGTC-1", "d05.data2_GAACTGTAGCGTTCCG-1", "d05.data2_AGCATCACAGGAATAT-1", "d05.data2_CAACGATGTCGTCGGT-1", "d05.data2_GGCAGTCTCAGAGTTC-1", "d05.data2_TTACCGCGTGAGCCAA-1", "d05.data2_TGGGATTCAACCCTAA-1", "d05.data2_TTGGATGTCGTGGTAT-1", "d05.data2_GTTTGGACAATGAGCG-1", "d05.data2_AGGAATATCAAGATAG-1", "d05.data2_AAATGGAAGTGCTCAT-1", "d05.data2_ATCCGTCAGTTCCGTA-1", "d05.data2_ACTATTCCACTAGAGG-1", "d05.data2_GATAGCTAGTACGAGC-1", "d05.data2_CTACGGGGTCGTACTA-1", "d05.data2_TCTTAGTGTACAGGTG-1", "d05.data2_TCATGGATCGGCTTCT-1", "d05.data2_CAATGACGTCTGTCAA-1", "d05.data2_ACGGGTCGTCCTGGTG-1", "d05.data2_CCTATCGGTAGCACAG-1", "d05.data2_TAGGGTTAGCTGCCTG-1", "d05.data2_GTGAGGAGTAGATGTA-1", "d05.data2_TCCATCGGTTCTAACG-1", "d05.data2_ATCATTCAGTACGAGC-1", "d05.data2_ACGTAGTGTATCGCTA-1", "d05.data2_AGAGAATTCGGACAAG-1", "d05.data2_GTTAGTGCAACGTTAC-1", "d05.data2_AACAAAGAGCACTCAT-1", "d05.data2_GGTGGCTAGGAGCTGT-1", "d05.data2_TGGAGAGCAAGGTCGA-1", "d05.data2_CAGCAATTCCCATTTA-1", "d05.data2_ATCGTGATCTGCTAGA-1", "d05.data2_AGTTCGAGTAGGCTCC-1", "d05.data2_CTGTGGGTCATGCCAA-1", "d05.data2_AGAAATGAGAATTGTG-1", "d05.data2_GACCCAGTCGTTGTTT-1", "d05.data2_CATGGTAAGGGTTAAT-1", "d05.data2_GGGTAGAGTTCTTGTT-1", "d05.data2_GTTGCGGCATGGAGAC-1", "d05.data2_CTATCCGAGAATTCAG-1", "d05.data2_GGTAGAGTCCGAGGCT-1", "d05.data2_TGTTCATTCACTTGTT-1", "d05.data2_CAAGAGGTCCGTGACG-1", "d05.data2_GTGCTTCCAAGATGTA-1", "d05.data2_TGACAGTTCTCATAGG-1", "d05.data2_TCCATCGGTGAGACGT-1", "d05.data2_GGGACTCGTAATGTGA-1", "d05.data2_GTTTGGAAGATGTTAG-1", "d05.data2_TTCTTCCCATCGTCCT-1", "d05.data2_TCGTCCAGTACCCAGC-1", "d05.data2_CATGAGTAGTCTTCGA-1", "d05.data2_TAAGCCAGTCGCGTTG-1", "d05.data2_AGCTTCCCAGACTGCC-1", "d05.data2_GGTGATTCAAAGGATT-1", "d05.data2_TTCTTGAGTGTGTCCG-1", "d05.data2_ATGAGGGTCCGTACGG-1", "d05.data2_TAGGGTTTCAAGAGGC-1", "d05.data2_TCCGGGACAAGAGATT-1", "d05.data2_CCTATCGAGGCCTAGA-1", "d05.data2_CCGTTCATCATGCGGC-1", "d05.data2_CAATGACGTGATGAAT-1", "d05.data2_TCAGGTAGTCCTCATC-1", "d05.data2_ATGCCTCGTGGAGGTT-1", "d05.data2_CTCAGGGGTCACGACC-1", "d05.data2_AGAGAGCCATGGAGAC-1", "d05.data2_AGATGCTAGCTGCCAC-1", "d05.data2_CAGGTATTCTAGTACG-1", "d05.data2_AGTAGTCAGAATCGAT-1", "d05.data2_TATTGGGTCACCTGGG-1", "d05.data2_TACAACGAGCCTGAGA-1", "d05.data2_CTGTCGTCAACACGTT-1", "d05.data2_GGGTCTGGTGTGTGGA-1", "d05.data2_GATCACACAGTTAGGG-1", "d05.data2_CGCCAGATCGTCCTTG-1", "d05.data2_TAATTCCGTGGATCAG-1", "d05.data2_CATAAGCAGCGAACTG-1", "d05.data2_TTGCCTGTCGATAACC-1", "d05.data2_CTGAATGGTAAGATTG-1", "d05.data2_TTTGACTCATCGCCTT-1", "d05.data2_ATTTACCAGTTGAATG-1", "d05.data2_GTCATGAAGCATGTTC-1", "d05.data2_CTGTGAATCCACAGCG-1", "d05.data2_GAAATGAGTCGAGCAA-1", "d05.data2_GGTAATCCAATCGTCA-1", "d05.data2_ATAGAGAAGATCCCAT-1", "d05.data2_TAAGCGTCATTCTTCA-1", "d05.data2_GTGTTCCGTGTCTTGA-1", "d05.data2_TGTTTGTTCTCGCTCA-1", "d05.data2_CCCATTGCAAATGGTA-1", "d05.data2_AGTAGTCTCCTATTGT-1", "d05.data2_TGTAACGGTTCGAGCC-1", "d05.data2_AACCTTTAGTACCCTA-1", "d05.data2_GCCAGTGGTAATTAGG-1", "d05.data2_AGGGTTTCAGACCAAG-1", "d05.data2_CGTTGGGGTTTACCTT-1", "d05.data2_ACAACCATCGGATACT-1", "d05.data2_CGAAGTTTCGCCAGAC-1", "d05.data2_AATGACCGTCTGCCTT-1", "d05.data2_TAGGGTTTCGGCTATA-1", "d05.data2_CATACTTTCGCTGTCT-1", "d05.data2_TCATTACTCTGGGAGA-1", "d05.data2_GATAGAATCCCAAGTA-1", "d05.data2_CAGCGTGGTCTGATCA-1", "d05.data2_GGCTTGGTCAGGGTAG-1", "d05.data2_TCTTGCGGTAGTTAGA-1", "d05.data2_ATTCACTCATCATGAC-1", "d05.data2_CAATACGAGAGCAAGA-1", "d05.data2_TGACTCCCAGGAGGTT-1", "d05.data2_GGTGGCTGTCGAACAG-1", "d05.data2_CGGAACCCAGGAAGTC-1", "d05.data2_AGAAATGAGGACTATA-1", "d05.data2_GCACATAGTGGCTAGA-1", "d05.data2_TGTGAGTCAATACAGA-1", "d05.data2_GATTCGAGTCTTACTT-1", "d05.data2_GGGTATTCAGAGTCTT-1", "d05.data2_TTACCATAGGGTTAGC-1", "d05.data2_TGTTTGTGTTACGCCG-1", "d05.data2_ATTCTACGTCAGCGTC-1", "d05.data2_CCTCATGTCGTTGTGA-1", "d05.data2_CGCGTGATCGTAGAGG-1", "d05.data2_TACCCGTTCGTCGGGT-1", "d05.data2_TCAATTCTCAAATAGG-1", "d05.data2_AATCGTGCATCGAACT-1", "d05.data2_CCTTGTGCAGTATTCG-1", "d05.data2_CGTTGGGAGAACTTCC-1", "d05.data2_CCTGTTGCAGCACACC-1", "d05.data2_CAGTGCGGTCCAGTTA-1", "d05.data2_GAGTCTAGTAGATCCT-1", "d05.data2_CATAAGCTCGTAGGGA-1", "d05.data2_CACAGGCTCGTGGGTC-1", "d05.data2_GAATCGTTCAAGGCTT-1", "d05.data2_CCTACGTCAATACGCT-1", "d05.data2_AAATGGAAGGGTGAAA-1", "d05.data2_CCTATCGGTTTCACAG-1", "d05.data2_TTCATTGAGGTCACAG-1", "d05.data2_GTTGTGAAGACTTCCA-1", "d05.data2_GGTTGTATCGTGGAAG-1", "d05.data2_CTGGCAGGTACGATCT-1", "d05.data2_CGTCCATGTTCGATTG-1", "d05.data2_ATTATCCTCGTTAGAC-1", "d05.data2_CGGAGAAAGGTAGATT-1", "d05.data2_TCGCTTGAGACCCGCT-1", "d05.data2_AGCGTATTCGGATAAA-1", "d05.data2_TCGTAGACAGAAGCGT-1", "d05.data2_AGGAATAGTGAGACCA-1", "d05.data2_GTAGGAGTCACTGGGC-1", "d05.data2_CTCATGCAGGTTGGAC-1", "d05.data2_AACGGGAAGTCATACC-1", "d05.data2_CATAGACGTGATGTAA-1", "d05.data2_ACATCCCTCTCTTCAA-1", "d05.data2_TGCTTCGAGCTCGACC-1", "d05.data2_GAGACTTGTGGTCCGT-1", "d05.data2_AGGTAGGTCTTGCAGA-1", "d05.data2_CTTTCAATCAGGGATG-1", "d05.data2_TGATGGTCAGCGATTT-1", "d05.data2_AGTCAACAGACTTAAG-1", "d05.data2_TTCTTGAAGAGGCGTT-1", "d05.data2_GTCATGATCGAAGAAT-1", "d05.data2_CGAGTTAGTACTCGAT-1", "d05.data2_AGATGCTTCATTTGTC-1", "d05.data2_AAGTGAATCTAAGAAG-1", "d05.data2_GGCGTCAGTCGTACAT-1", "d05.data2_TCCACGTCAGTCGCTG-1", "d05.data2_TTGTTGTGTCGTGGTC-1", "d05.data2_CCGATCTCATGGGATG-1", "d05.data2_GGAGCAAGTTACGATC-1", "d05.data2_CTTGATTCATGAGTAA-1", "d05.data2_GATTGGTAGGTGATCG-1", "d05.data2_AGTAACCGTCGATGCC-1", "d05.data2_TACGGGCGTTGGTGTT-1", "d05.data2_TTGTGGAGTGCAAGAC-1", "d05.data2_CATCGCTAGCGACAGT-1", "d05.data2_CTATCTAGTAGACAGC-1", "d05.data2_GTGTGGCGTTCAAACC-1", "d05.data2_TCTTGCGTCCCGAGAC-1", "d05.data2_CTCGAGGGTAGGGAGG-1", "d05.data2_ACGGAAGTCGCCGATG-1", "d05.data2_GCTGAATAGAACAGGA-1", "d05.data2_CGTAATGCAGGCACAA-1", "d05.data2_TGTGAGTCACAGGATG-1", "d05.data2_TTCGGTCAGACTGTTC-1", "d05.data2_TCAGGGCTCCCTGTTG-1", "d05.data2_GTGGAGACAGCGCGTT-1", "d05.data2_GCTCAAAGTCTATGAC-1", "d05.data2_GTCGTAACATTGCTGA-1", "d05.data2_TATCTGTCACTAGGTT-1", "d05.data2_GGAGGATTCTACACAG-1", "d05.data2_GCTTTCGGTATAGGAT-1", "d05.data2_TGGCGTGAGGAGTCTG-1", "d05.data2_TCGGGTGTCCGAAATC-1", "d05.data2_GTTGCTCTCCCAGGCA-1", "d05.data2_TATGTTCAGTGATGGC-1", "d05.data2_GACCAATAGCGGCTCT-1", "d05.data2_GTGTGATGTGCGAACA-1", "d05.data2_GATCCCTAGAGTCGAC-1", "d05.data2_CTCATCGCAAGAGTGC-1", "d05.data2_CCTCACATCGTTGTAG-1", "d05.data2_TGTGTGAAGCGTTCCG-1", "d05.data2_AGCCACGGTCGCTGCA-1", "d05.data2_TAGACCAAGTATGGCG-1", "d05.data2_TGGAACTAGGCGTCCT-1", "d05.data2_GGTCACGGTAAGATTG-1", "d05.data2_CCTATCGCATCTCAAG-1", "d05.data2_CAAGCTAGTGCTCTTC-1", "d05.data2_TTGCTGCAGGCTAGCA-1", "d05.data2_TGGGTTATCCGAAATC-1", "d05.data2_ATGAGGGGTCGCGTTG-1", "d05.data2_AGTGACTAGCGGTATG-1", "d05.data2_GATGTTGAGGGTTAAT-1", "d05.data2_GACTGATCAGAGAAAG-1", "d05.data2_TGCGATAAGCTCGAAG-1", "d05.data2_TGACTCCCAGAGTTGG-1", "d05.data2_GGTTAACAGTTAGAAC-1", "d05.data2_ATGTCCCGTCCTGGTG-1", "d05.data2_AGGGTGAAGCGCCGTT-1", "d05.data2_TAGGTTGAGAGTCAGC-1", "d05.data2_TGAGGAGAGGGTGGGA-1", "d05.data2_TTCTGTATCAGGCGAA-1", "d05.data2_CATTCCGCACAGAGCA-1", "d05.data2_GAGTCATGTCTGTGGC-1", "d05.data2_ACTGTGATCCTACCAC-1", "d05.data2_TGTTTGTAGCAGTACG-1", "d05.data2_ATGGTTGTCAACACGT-1", "d05.data2_ATGGGTTTCATTTCCA-1", "d05.data2_AGGTTGTGTTACTCAG-1", "d05.data2_TAACTTCTCCGATGTA-1", "d05.data2_CAACCTCGTATCGTTG-1", "d05.data2_GTAAGTCAGTAGAATC-1", "d05.data2_AATGAAGTCCATTGCC-1", "d05.data2_AGTCATGCAGAGGAAA-1", "d05.data2_ATCAGGTAGCTGGTGA-1", "d05.data2_AGTTCCCAGCAACTCT-1", "d05.data2_TCCTAATTCAACGAGG-1", "d05.data2_TGCAGATCAGTCTTCC-1", "d05.data2_CCAATTTCACAACGAG-1", "d05.data2_ACACGCGGTGCCGAAA-1", "d05.data2_TTTCCTCAGGAAGAAC-1", "d05.data2_GCTACAAAGTGCACAG-1", "d05.data2_GAGGGTAGTCCACATA-1", "d05.data2_CTAACTTAGCTAAATG-1", "d05.data2_GAGTTTGCAGGTAGTG-1", "d05.data2_TCATACTAGTTGGACG-1", "d05.data2_TTCGATTAGAGTCAAT-1", "d05.data2_GCACTAAAGACCCGCT-1", "d05.data2_GGTGATTAGTAAGGGA-1", "d05.data2_AGAGAATTCGAGTCCG-1", "d05.data2_GGTTAACTCGTGTGAT-1", "d05.data2_CTGCGAGCACTGGCGT-1", "d05.data2_TCTCAGCCACTGGCCA-1", "d05.data2_ATCGTGAAGCGCACAA-1", "d05.data2_ATTCCCGCACAGTCGC-1", "d05.data2_GCCAGCAGTAGCGCTC-1", "d05.data2_TTTGGTTTCTGTAAGC-1", "d05.data2_TTGAGTGGTCACGTGC-1", "d05.data2_TCGCAGGTCTCAACCC-1", "d05.data2_CCTCACAGTTCGAGCC-1", "d05.data2_AGAGAGCTCGCCAGAC-1", "d05.data2_TCCAGAAAGGTCATAA-1", "d05.data2_ATTCTTGTCAAACTGC-1", "d05.data2_GTGAGGAAGAGTGTTA-1", "d05.data2_TGGAACTGTGAGCAGT-1", "d05.data2_TCGGGCACAAGAAATC-1", "d05.data2_TATTGGGCATACCATG-1", "d05.data2_TTTGTTGAGCCTGTCG-1", "d05.data2_CCAAGCGAGTACCATC-1", "d05.data2_GTCGTTCTCAAACCCA-1", "d05.data2_AACCCAAGTCGCAGTC-1", "d05.data2_GCTGGGTAGTAGCCAG-1", "d05.data2_TGGCGTGAGTGGCCTC-1", "d05.data2_TCTAACTGTACCTGTA-1", "d05.data2_CCCATTGTCGCAGAGA-1", "d05.data2_AGAAGTAAGTCATCGT-1", "d05.data2_GATCACATCGGCGATC-1", "d05.data2_TGTTTGTGTTCGGCCA-1", "d05.data2_GACCCAGTCTGGTTGA-1", "d05.data2_CGTAAGTTCACTGAAC-1", "d05.data2_CGTAATGGTCGGCTAC-1", "d05.data2_ACAGAAAAGGTAGGCT-1", "d05.data2_GCACGTGGTGACACGA-1", "d05.data2_ATCTCTAAGGGTTAAT-1", "d05.data2_ATATCCTAGGCCTTGC-1", "d05.data2_AGGAGGTAGTGTTCCA-1", "d05.data2_TCTGGCTCAACACGAG-1", "d05.data2_ACGTAACGTCTTGCTC-1", "d05.data2_AACAAAGAGTTCATCG-1", "d05.data2_ATCCCTGCAAAGCGTG-1", "d05.data2_TGAGGAGGTCCTACGG-1", "d05.data2_CCATAAGGTTGCATGT-1", "d05.data2_CTACCTGGTATCGGTT-1", "d05.data2_TTCCACGTCGACGAGA-1", "d05.data2_AGCGCTGAGCCACTCG-1", "d05.data2_GTGCACGAGACGTCCC-1", "d05.data2_CGAGGAATCACTTGGA-1", "d05.data2_CATCAAGAGTAATTGG-1", "d05.data2_ACGTCCTCAGCTTTCC-1", "d05.data2_GAAATGACAGCCTATA-1", "d05.data2_TTGCTGCGTGGGCTCT-1", "d05.data2_AACAAGACATAAGCAA-1", "d05.data2_ATGAGTCAGTGACACG-1", "d05.data2_TACCTGCGTTGAGGAC-1", "d05.data2_CTTACCGAGTAGCCAG-1", "d05.data2_TAGACCATCCGTGGGT-1", "d05.data2_TTTCGATTCGGAGTGA-1", "d05.data2_AGAGCCCGTATCTCTT-1", "d05.data2_TCGGGCATCGCAAGAG-1", "d05.data2_CCGAACGTCATTACGG-1", "d05.data2_GTGACGCAGTCATACC-1", "d05.data2_TTACTGTTCGCGCTGA-1", "d05.data2_TGTAACGAGGGATCAC-1", "d05.data2_CTTACCGGTCGACTTA-1", "d05.data2_GGAATGGCATGAAGCG-1", "d05.data2_CTTCGGTCAGTAGTGG-1", "d05.data2_AACAAGACAAGAATAC-1", "d05.data2_AGAAATGGTTGTGCAT-1", "d05.data2_TACATTCAGCGAGTAC-1", "d05.data2_TATCTGTGTCCAGCGT-1", "d05.data2_TCGGGTGCATAACCCA-1", "d05.data2_GTTCTATGTGGATACG-1", "d05.data2_TGGGATTTCGCCGAGT-1", "d05.data2_GCTTGGGCATACCATG-1", "d05.data2_TCGGTCTCAAATGATG-1", "d05.data2_TGAGGAGAGGCGAACT-1", "d05.data2_TATCTTGCAGAGTGAC-1", "d05.data2_AGCTACAGTAGGTACG-1", "d05.data2_GTTGCGGAGACATACA-1", "d05.data2_TGGGCGTGTTCTTGCC-1", "d05.data2_AGGTAGGGTAGCACGA-1", "d05.data2_TAAGCCACACACGCCA-1", "d05.data2_GACCAATCATAGGTTC-1", "d05.data2_TTTGGTTGTCGCATCG-1", "d05.data2_CTTGAGAGTCGAGATG-1", "d05.data2_AGTAGTCTCTGTCCGT-1", "d05.data2_ACCTGAACAGCGACCT-1", "d05.data2_GCATGATGTTCCGCGA-1", "d05.data2_CACGTGGAGAGGGTAA-1", "d05.data2_GTCGTTCCAACGTATC-1", "d05.data2_ACTTTGTCACCAAAGG-1", "d05.data2_CTATCCGAGGCATGCA-1", "d05.data2_GCCATGGGTGAATTGA-1", "d05.data2_CACTAAGTCTCTCTTC-1", "d05.data2_GGTTGTACAAAGCTCT-1", "d05.data2_AACCAACTCTCGGTAA-1", "d05.data2_AGGTTGTTCGCGCTGA-1", "d05.data2_GTTACCCGTAATGTGA-1", "d05.data2_CTCAATTCAACGACAG-1", "d05.data2_TCAGTTTTCGGACGTC-1", "d05.data2_CGGTCAGTCAGCTTCC-1", "d05.data2_ACGATCAAGATGCAGC-1", "d05.data2_ATGCGATGTCTCTCCA-1", "d05.data2_TGTGGCGAGGTAATCA-1", "d05.data2_TGCAGGCGTTCTGACA-1", "d05.data2_AGTTCGACAGGTTCAT-1", "d05.data2_GATGGAGTCTTCGTAT-1", "d05.data2_GGAATGGCATTGTCGA-1", "d05.data2_AGGGCCTCAACCAATC-1", "d05.data2_TATACCTGTTGGCCGT-1", "d05.data2_AAGTTCGGTGCACATT-1", "d05.data2_TTCGCTGGTAGTCGTT-1", "d05.data2_ATTCGTTGTGTCCACG-1", "d05.data2_ATCGTGAGTTATTCTC-1", "d05.data2_ACGCACGAGTCACAGG-1", "d05.data2_ACAGGGACATTGTCGA-1", "d05.data2_CGACAGCTCCGCTAGG-1", "d05.data2_AGGTAGGGTGACAGCA-1", "d05.data2_TGACGCGCAGCGTAGA-1", "d05.data2_ACATTTCGTTTGAACC-1", "d05.data2_ACGATCAAGTTCCGGC-1", "d05.data2_TTGTTCACACGCGGTT-1", "d05.data2_TAGACTGAGACCAACG-1", "d05.data2_CCTGCATAGGTCTGGA-1", "d05.data2_GTGGCGTGTGCGGCTT-1", "d05.data2_AATCACGCATTCCTCG-1", "d05.data2_TTGTTTGTCTGTTGGA-1", "d05.data2_ATGGTTGAGCATCAAA-1", "d05.data2_CAGGTATGTCTGTGCG-1", "d05.data2_TCCTTTCTCACATTGG-1", "d05.data2_TACGCTCCACTTACAG-1", "d05.data2_AAAGGTAAGACAACAT-1", "d05.data2_ACTGCAATCGATACAC-1", "d05.data2_GTTACGACATGCACTA-1", "d05.data2_CCTACGTAGCGGATCA-1", "d05.data2_GGCAGTCAGTCTTCCC-1", "d05.data2_ACTATTCGTGCGTTTA-1", "d05.data2_TGCGACGAGACCTTTG-1", "d05.data2_CCTCACAAGGAAACGA-1", "d05.data2_TACCTCGGTGGAGGTT-1", "d05.data2_TCAGTTTGTTGGGACA-1", "d05.data2_AATGAAGAGAGTGTTA-1", "d05.data2_AGTTAGCCAAAGACTA-1", "d05.data2_CTGATCCTCGAAGCAG-1", "d05.data2_TGATCTTGTACGTGAG-1", "d05.data2_GTCATCCCATCGAAGG-1", "d05.data2_GGTAACTCAGGACATG-1", "d05.data2_TTCTTGATCTTCGACC-1", "d05.data2_GTTGCGGAGCTCCACG-1", "d05.data2_GAGTCTAGTCGTTGCG-1", "d05.data2_TGCAGTAGTATATGGA-1", "d05.data2_ACTCTCGAGATTGTGA-1", "d05.data2_TCAGTTTAGCTGACCC-1", "d05.data2_ACCTGAAAGGCCTTCG-1", "d05.data2_CACATGATCACTGGTA-1", "d05.data2_TACCGAAAGAATAGTC-1", "d05.data2_GCTGAATCAGCTGGTC-1", "d05.data2_CATTGAGTCACTTCTA-1", "d05.data2_TCAGCAAAGCTGTGCC-1", "d05.data2_AGCTCAATCAGCCCAG-1", "d05.data2_CAACAGTGTCCTGGGT-1", "d05.data2_GAAGGGTGTCCCTCAT-1", "d05.data2_GCTGGGTGTCGTCATA-1", "d05.data2_TCTTCCTTCTGTGCGG-1", "d05.data2_CCACGTTGTTGGTGTT-1", "d05.data2_CCGTAGGCAGTGTGGA-1", "d05.data2_TGGTAGTTCCCTCGTA-1", "d05.data2_AGGAATAAGCTATCTG-1", "d05.data2_ATTCTTGGTGGTCTAT-1", "d05.data2_GATCCCTGTGAAGCTG-1", "d05.data2_TGCGGCATCTTCGTGC-1", "d05.data2_GAGTTGTTCGAGATGG-1", "d05.data2_CGAGGCTGTGAGCCAA-1", "d05.data2_GATGTTGGTAAGGCTG-1", "d05.data2_CTCAACCAGGTACAGC-1", "d05.data2_CGAGTTAAGCCTCTGG-1", "d05.data2_CATGCAAGTTCGGGTC-1", "d05.data2_TGGCGTGGTTATGACC-1", "d05.data2_CTAGGTAGTATCGTAC-1", "d05.data2_TTCATTGTCGGATAAA-1", "d05.data2_ACAGAAATCCGATAAC-1", "d05.data2_GTAGTACAGCATGATA-1", "d05.data2_TGGGTTACATCGCTAA-1", "d05.data2_CCTCTAGGTGGATTTC-1", "d05.data2_TATTGGGGTCTAGGTT-1", "d05.data2_CGGGACTTCCGTGTCT-1", "d05.data2_CTGTGAAAGTGATGGC-1", "d05.data2_ACTTATCGTCACGTGC-1", "d05.data2_TCTCAGCGTAGCTAAA-1", "d05.data2_CACCAAAAGTTTGTCG-1", "d05.data2_AGCTTCCGTCAATGGG-1", "d05.data2_CATTGTTGTCACAGAG-1", "d05.data2_AGTTAGCTCTATGTGG-1", "d05.data2_ACTCCCACATCCTTCG-1", "d05.data2_ACGGGTCAGGCATCTT-1", "d05.data2_ACCTGAAGTGGACCAA-1", "d05.data2_CGAGAAGGTAGCTTGT-1", "d05.data2_CATTGCCAGGCCTAGA-1", "d05.data2_AATGGAAAGTAGGCCA-1", "d05.data2_TTTACCAAGGTGCAGT-1", "d05.data2_AGATCCATCTCGGTCT-1", "d05.data2_AGCCAGCGTAGTCCTA-1", "d05.data2_TGTCAGACATCCGGCA-1", "d05.data2_GGGATCCCAATGTCAC-1", "d05.data2_GCATCTCGTCTGTGCG-1", "d05.data2_GATGTTGCATATGCGT-1", "d05.data2_GACCTTCAGACTACCT-1", "d05.data2_TCCATCGAGTGGACTG-1", "d05.data2_ATGAGGGTCGAACTCA-1", "d05.data2_TAAGCCAAGACTACGG-1", "d05.data2_TGTGCGGAGTAAATGC-1", "d05.data2_GTCGCGATCCATAGGT-1", "d05.data2_CTGGTCTGTACTCCGG-1", "d05.data2_AGTAACCGTTTGCAGT-1", "d05.data2_AACCTTTCATGCACTA-1", "d05.data2_GAGGGATTCTGCGATA-1", "d05.data2_GTCCACTTCCGTATGA-1", "d05.data2_GGTGTCGCATATACCG-1", "d05.data2_GTTCATTTCAATGTCG-1", "d05.data2_GACCGTGTCTTTGGAG-1", "d05.data2_AGGATAAGTCGATGCC-1", "d05.data2_ACATGCAGTGAGACCA-1", "d05.data2_CGGGTCAGTTGGATCT-1", "d05.data2_TTTCGATGTCAGTCGC-1", "d05.data2_CACTAAGGTTCGTAAC-1", "d05.data2_CGGACACGTTATGACC-1", "d05.data2_TGTAAGCCACAATTCG-1", "d05.data2_GTTAGTGTCTTGGTGA-1", "d05.data2_TTGGTTTTCGAATGCT-1", "d05.data2_CCACCATCATCTGCGG-1", "d05.data2_CAGTTCCCAAATGGAT-1", "d05.data2_GGCTTTCCATATCGGT-1", "d05.data2_TCTGGCTGTAAGCAAT-1", "d05.data2_CTCTCAGTCGGTCACG-1", "d05.data2_GGGACAAAGGTGGTTG-1", "d05.data2_GGAGATGCATCCGTTC-1", "d05.data2_TGCGATACATGTGGTT-1", "d05.data2_CCTCATGGTCCTACGG-1", "d05.data2_GTCATCCGTGTAACGG-1", "d05.data2_AGTGTTGAGAAACTAC-1", "d05.data2_TCAGTTTGTCTGTCCT-1", "d05.data2_CACGTTCGTGTCTTCC-1", "d05.data2_GCAACCGTCGGATTAC-1", "d05.data2_GACAGCCCACGTCATA-1", "d05.data2_TCCCAGTAGGTGCTAG-1", "d05.data2_TTACGTTAGATGGCGT-1", "d05.data2_AGAAATGGTTGTGCCG-1", "d05.data2_CACGTTCAGTCCCGGT-1", "d05.data2_AGGGTCCAGCGACAGT-1", "d05.data2_CATCCGTAGATCGACG-1", "d05.data2_ATGGGAGCAGCCCAGT-1", "d05.data2_TTCATTGGTGAGGATC-1", "d05.data2_TACCTGCCATCACAGT-1", "d05.data2_TGACCCTGTTTACTGG-1", "d05.data2_CGTTGGGGTTCTCAGA-1", "d05.data2_CGAGGAAGTAGTCCTA-1", "d05.data2_CCAATGACACACAGAG-1", "d05.data2_TCAAGTGCAAGGGCAT-1", "d05.data2_GCACATACAACCGCCA-1", "d05.data2_AGTGCCGGTGTCGATT-1", "d05.data2_TCCTTCTTCACCCATC-1", "d05.data2_ATACCTTAGCTGCCTG-1", "d05.data2_TATTTCGTCCACGGGT-1", "d05.data2_ACATTTCCACATACTG-1", "d05.data2_TCGACGGCAGAGAATT-1", "d05.data2_GGGTTTAAGCGTGCCT-1", "d05.data2_TTGTTTGAGAAAGCGA-1", "d05.data2_AGCGCTGCAAGACCGA-1", "d05.data2_TCATTACAGAGTGAAG-1", "d05.data2_CTGAATGTCTCCATAT-1", "d05.data2_TGTTTGTCATTGTCGA-1", "d05.data2_GGGTCTGCAGAGGTTG-1", "d05.data2_GTAAGTCCAAGTTTGC-1", "d05.data2_TTAGGGTAGGCCCAAA-1", "d05.data2_GAGTTACAGTGCAACG-1", "d05.data2_CATAGACCAGAGTAAT-1", "d05.data2_GTTAGACAGATAGTCA-1", "d05.data2_CTGCAGGCAATTGTGC-1", "d05.data2_CACAGATGTTGCACGC-1", "d05.data2_GCTGAATAGTGGAATT-1", "d05.data2_TTTCACACAATCTGCA-1", "d05.data2_TCGCTTGGTAACATAG-1", "d05.data2_GAGTTACTCGGCTATA-1", "d05.data2_CTTGATTCAGAGTCAG-1", "d05.data2_ATGCATGCATATGCGT-1", "d05.data2_GATAGCTAGCTCTTCC-1", "d05.data2_ACATCCCTCAGCTAGT-1", "d05.data2_GCATTAGAGCCGAATG-1", "d05.data2_CACTGTCGTACTGGGA-1", "d05.data2_CTCCAACGTCTTGCTC-1", "d05.data2_CCCTGATTCACCGCTT-1", "d05.data2_TTTGATCGTGCCAAGA-1", "d05.data2_ATTCCATGTGAGCGAT-1", "d05.data2_GTTTACTGTTGTCTAG-1", "d05.data2_CCATCACGTATAATGG-1", "d05.data2_GAGTCTAGTAAGATCA-1", "d05.data2_TCGTCCAAGGCTGGAT-1", "d05.data2_CTGGCAGGTCGCACAC-1", "d05.data2_TTGTTGTCAGTCGTTA-1", "d05.data2_GACGCTGTCTGCCTGT-1", "d05.data2_GAGGGATCAGTCAACT-1", "d05.data2_GCACGTGCAGCCGTTG-1", "d05.data2_CCACTTGTCCAACTAG-1", "d05.data2_GTTCGCTGTTCGAGCC-1", "d05.data2_AACGTCAGTCTAACTG-1", "d05.data2_CTGGTCTGTTGCCTAA-1", "d05.data2_CATTCCGCAATCGAAA-1", "d05.data2_GATTTCTGTCCGGTCA-1", "d05.data2_GCATTAGGTCACAATC-1", "d05.data2_GTCATGAAGAGAATCT-1", "d05.data2_CGAGTTATCTGCGGGT-1", "d05.data2_AGCGTATCAGGTATGG-1", "d05.data2_TAACACGCATCGCTAA-1", "d05.data2_TTGTTCAGTATACCCA-1", "d05.data2_TTTCAGTGTGCATCTA-1", "d05.data2_AGACTCAAGCCATCCG-1", "d05.data2_TTCTCTCTCTTCCCGA-1", "d05.data2_CTCTGGTTCGTAGTCA-1", "d05.data2_ATACCGACAGGGATAC-1", "d05.data2_GCATGATAGATGTAGT-1", "d05.data2_TGCAGATCAATCTAGC-1", "d05.data2_GTTAGTGCACTCAGAT-1", "d05.data2_GGTAGAGAGCCATTTG-1", "d05.data2_TTCTAACTCCGTGACG-1", "d05.data2_CTGCATCCACGTCATA-1", "d05.data2_TGATCAGCACCCAACG-1", "d05.data2_ATCTCTATCCATATGG-1", "d05.data2_AAATGGAGTAATCAGA-1", "d05.data2_TTGCTGCAGATCCGAG-1", "d05.data2_CCTCCAAGTGGCGTAA-1", "d05.data2_GGAATGGTCGGCTGGT-1", "d05.data2_GTCGCGAGTAGCACAG-1", "d05.data2_TACCGAATCATGCAGT-1", "d05.data2_TCCTTTCGTCCATCTC-1", "d05.data2_ATATCCTAGGCTTCCG-1", "d05.data2_GCAACATGTGCTCGTG-1", "d05.data2_CATGCTCTCTCCGAGG-1", "d05.data2_CTCATTAAGACCGTTT-1", "d05.data2_TTGTGGAAGGTAGATT-1", "d05.data2_CTTGATTTCGATACAC-1", "d05.data2_TCGCTTGAGTGCTCGC-1", "d05.data2_CTGTGGGAGCTGTTAC-1", "d05.data2_AGGGTCCCAGAGGAAA-1", "d05.data2_TCCTAATCACGCGTCA-1", "d05.data2_GATGTTGCAACAGATA-1", "d05.data2_CTTACCGCATGATCTG-1", "d05.data2_TACCTCGGTTGGGATG-1", "d05.data2_GTTGCTCTCGACCAAT-1", "d05.data2_TGTTACTTCATCCTGC-1", "d05.data2_CTTTCAATCGGACTGC-1", "d05.data2_TATTCCAAGATGAATC-1", "d05.data2_CCTAACCTCTCCAATT-1", "d05.data2_TGCATGAGTTGGCCTG-1", "d05.data2_AACCAACAGACCTGGA-1", "d05.data2_ATGGGTTGTACTCCGG-1", "d05.data2_CGCCATTCATGAAAGT-1", "d05.data2_TGTCCACAGTAGTGCG-1", "d05.data2_CATTGTTGTTCAGCGC-1", "d05.data2_CAGGGCTAGCGATGAC-1", "d05.data2_TCTAACTGTATATGGA-1", "d05.data2_CCCGGAACAGACCGCT-1", "d05.data2_TTCTCTCAGGTGAGCT-1", "d05.data2_TGCGGCAGTGTCATGT-1", "d05.data2_AATTCCTTCTATCCAT-1", "d05.data2_TGCATGAAGTGTTCAC-1", "d05.data2_TATATCCTCTCATGCC-1", "d05.data2_GTCAAACGTGTAAACA-1", "d05.data2_GATTCTTAGGCTCAAG-1", "d05.data2_CGCGTGATCAGTGTTG-1", "d05.data2_TACAACGCAGAGTCTT-1", "d05.data2_GACCGTGAGAAGCCTG-1", "d05.data2_CCGGACAAGTGCGCTC-1", "d05.data2_CGGGCATGTGATTAGA-1", "d05.data2_GTCATGATCGCCAGTG-1", "d05.data2_ACTGATGGTTGGAGGT-1", "d05.data2_TATTGGGGTTGCTCGG-1", "d05.data2_GCGTGCAAGTCAGCGA-1", "d05.data2_CACCAAACAGCAAGAC-1", "d05.data2_TTCACGCAGATTCGCT-1", "d05.data2_CGGGACTCACACTTAG-1", "d05.data2_GGGACCTGTCGAACGA-1", "d05.data2_CTTACCGCAGCCGGTT-1", "d05.data2_CCTATCGTCAGGGATG-1", "d05.data2_GCGAGAACAGTCGTTA-1", "d05.data2_GTGATGTGTTGGACCC-1", "d05.data2_TCCAGAACAGACTCTA-1", "d05.data2_CTTGAGAGTTCTTAGG-1", "d05.data2_TGTGGCGGTGCAGTGA-1", "d05.data2_TAATTCCCATCGAGCC-1", "d05.data2_AGTGATCGTATGAAAC-1", "d05.data2_GAGTGTTGTGTCCCTT-1", "d05.data2_TCGGATAGTCGTTGGC-1", "d05.data2_TCCACGTTCGGCATCG-1", "d05.data2_TGAATGCCAAAGGCTG-1", "d05.data2_ATCAGGTAGCGTGAAC-1", "d05.data2_CGAAGGAAGTTGAAAC-1", "d05.data2_CCACACTTCACAGTGT-1", "d05.data2_TACACCCTCATACAGC-1", "d05.data2_AGGGTCCCATGACGTT-1", "d05.data2_GGGTAGAAGGTTATAG-1", "d05.data2_GAACACTAGCACCGTC-1", "d05.data2_AGTAACCTCATTCGGA-1", "d05.data2_GATTGGTAGCAGTACG-1", "d05.data2_ATTACTCAGTTCTACG-1", "d05.data2_TCCCATGGTATTTCTC-1", "d05.data2_GCATCTCGTATTCCTT-1", "d05.data2_CCACGTTCAAGCGCTC-1", "d05.data2_TTCTCTCCATAATGCC-1", "d05.data2_TATCTGTCACAGTCAT-1", "d05.data2_CATGAGTAGACGCCAA-1", "d05.data2_GGTAGAGCACTCCTTG-1", "d05.data2_CTGTCGTTCTAGAGCT-1", "d05.data2_CTCAAGAGTAGATCCT-1", "d05.data2_GTATTGGTCATGAGGG-1", "d05.data2_ATTACTCGTACAATAG-1", "d05.data2_ACACTGAGTTGTACGT-1", "d05.data2_ATCGGATTCTGTTCAT-1", "d05.data2_TGTTACTAGCACTCCG-1", "d05.data2_TGTGGCGGTCAGATTC-1", "d05.data2_ATTACCTAGGTATCTC-1", "d05.data2_GGTCTGGTCAGGAGAC-1", "d05.data2_CCGTTCATCACTCGAA-1", "d05.data2_GACTCAATCTTGGGCG-1", "d05.data2_TGATTCTAGGCGACAT-1", "d05.data2_AACACACGTATACCCA-1", "d05.data2_CACGTGGGTTACGCCG-1", "d05.data2_CAATGACCACAAGCTT-1", "d05.data2_CCACAAAAGCATGGGT-1", "d05.data2_CTCCTTTTCAAAGCCT-1", "d05.data2_AAGTTCGGTGAGTCAG-1", "d05.data2_CTAACTTCAGTCAGCC-1", "d05.data2_TCCAGAACATTAGGAA-1", "d05.data2_TGTAACGAGCACTCGC-1", "d05.data2_ATCCACCCATAGGTTC-1", "d05.data2_CAATACGGTCATCGCG-1", "d05.data2_GACTGATAGGACAGCT-1", "d05.data2_CCAATGAAGCCGAATG-1", "d05.data2_GCGAGAAGTAGTGCGA-1", "d05.data2_GTTACGAGTTCCACAA-1", "d05.data2_CGAGTTACAGGTCCGT-1", "d05.data2_CAGAGCCGTAGCACAG-1", "d05.data2_CCTCTAGGTAGGGAGG-1", "d05.data2_CTGGACGGTCAGTCCG-1", "d05.data2_CTCCCTCTCCTTATGT-1", "d05.data2_ATGAGGGTCAGTGGGA-1", "d05.data2_GTCGAATTCCAATCCC-1", "d05.data2_ACGTTCCGTGAGCTCC-1", "d05.data2_AGTACCAAGATCCCAT-1", "d05.data2_TTACTGTCACCTGATA-1", "d05.data2_GATTTCTGTGTGATGG-1", "d05.data2_TCCACCACATCGGTTA-1", "d05.data2_CCACAAATCACTCTTA-1", "d05.data2_GTCTTTAGTTCTATCT-1", "d05.data2_ACTTCGCGTACGCTAT-1", "d05.data2_GTGGAGACACGTAGTT-1", "d05.data2_GCCAGCAAGTGCACTT-1", "d05.data2_ACCTGTCCAGGGATAC-1", "d05.data2_GTTAGACAGTAGGATT-1", "d05.data2_ACGGAAGGTAGGTGCA-1", "d05.data2_AACAGGGAGGACTATA-1", "d05.data2_TAGACTGCACCTTCGT-1", "d05.data2_AGGGCTCAGTCTGCGC-1", "d05.data2_TACTTGTTCCGATCTC-1", "d05.data2_TTTGACTGTATGGAAT-1", "d05.data2_ATAGGCTCAAGTCCCG-1", "d05.data2_TCTTGCGAGGCGAAGG-1", "d05.data2_TCCATGCAGTGCGACA-1", "d05.data2_ACCATTTCAGTTCCAA-1", "d05.data2_GGGTCTGGTCAGTTTG-1", "d05.data2_CTGTGGGTCTGCAGCG-1", "d05.data2_ACGATGTCAGCTCTGG-1", "d05.data2_TGTCCCACATGTACGT-1", "d05.data2_GCTGGGTAGACACACG-1", "d05.data2_ACTATCTGTGCTCCGA-1", "d05.data2_ATTCTTGCAAGTTGGG-1", "d05.data2_TTGCTGCTCGCAGAGA-1", "d05.data2_AGTCATGTCTTCGCTG-1", "d05.data2_CATTGCCTCGCCAATA-1", "d05.data2_CTCACTGGTTCGGCTG-1", "d05.data2_CCTGCATCATCCCGTT-1", "d05.data2_ATTCCCGAGTGACCTT-1", "d05.data2_AGATCCAGTTGCATTG-1", "d05.data2_TCATTCAGTGGAGGTT-1", "d05.data2_ATTACTCCATCCCGTT-1", "d05.data2_TACTTGTTCGTGCGAC-1", "d05.data2_GATCGTACATTGCTTT-1", "d05.data2_ACTGTCCGTTAACCTG-1", "d05.data2_GGCTGTGCAGCGTAGA-1", "d05.data2_TGGGAAGGTCGCGTCA-1", "d05.data2_AACCATGGTTACCTTT-1", "d05.data2_GCGGATCCAGGAGGTT-1", "d05.data2_AATAGAGTCATCCTAT-1", "d05.data2_ACAAGCTAGGAGGTTC-1", "d05.data2_TTGACCCTCATGGGAG-1", "d05.data2_CCATAAGAGGCATCGA-1", "d05.data2_GGCACGTAGTCAAGCG-1", "d05.data2_GCTACAACAGTCAGCC-1", "d05.data2_ACCCTTGGTGATAGAT-1", "d05.data2_GAAATGATCTCCACTG-1", "d05.data2_TGTTGGAAGAGTCACG-1", "d05.data2_GATAGCTTCTACGGGC-1", "d05.data2_CCTCACACAATAGTAG-1", "d05.data2_AAACGCTCAACGAGGT-1", "d05.data2_GGTTGTATCAACCTTT-1", "d05.data2_CAATGACCACGACGTC-1", "d05.data2_TGCTTGCGTCATATGC-1", "d05.data2_GTGTGGCTCGTTAGTG-1", "d05.data2_ATGGTTGAGTAGTCCT-1", "d05.data2_GATTGGTAGGTCTGGA-1", "d05.data2_AGGGCCTGTCCGGATC-1", "d05.data2_CTGTGGGAGCTCGTGC-1", "d05.data2_AGCGCCAAGGAGTCTG-1", "d05.data2_CAACGGCTCTTGTGCC-1", "d05.data2_TATGTTCGTGGCACTC-1", "d05.data2_GAGAGGTCACAAATGA-1", "d05.data2_TCGACCTTCCGTAATG-1", "d05.data2_AGACAGGCACTCATAG-1", "d05.data2_TAACTTCCAACGCCCA-1", "d05.data2_TGGGCTGAGGGCGAAG-1", "d05.data2_ATGGAGGCACGTGAGA-1", "d05.data2_AAACGAAGTGACACGA-1", "d05.data2_ATGGTTGCAACGGTAG-1", "d05.data2_TCCGATCCACAGTCCG-1", "d05.data2_TAGGAGGCACTTCATT-1", "d05.data2_TGCGACGAGTCTTCGA-1", "d05.data2_GTAAGTCAGCGACTGA-1", "d05.data2_AGATCGTAGCACCGAA-1", "d05.data2_TTGCGTCCAGCATGCC-1", "d05.data2_TTGCGTCTCCGTTGAA-1", "d05.data2_TCATTTGCAGTCGCTG-1", "d05.data2_CGCGTGAGTTCGAAGG-1", "d05.data2_CTAAGTGTCCAACTGA-1", "d05.data2_TTGTTGTAGTTAGTGA-1", "d05.data2_GAGGGATTCGTTCCCA-1", "d05.data2_TGTTCTAAGCACCGTC-1", "d05.data2_TGGGCTGGTTGCTCAA-1", "d05.data2_TGCATCCGTTGACGGA-1", "d05.data2_GAGACCCTCCACTAGA-1", "d05.data2_ATCCCTGAGGCACCAA-1", "d05.data2_CTGTCGTCATGGGAAC-1", "d05.data2_GGGTATTAGCACCCAC-1", "d05.data2_TCATTCAGTCAACCTA-1", "d05.data2_AGGTCTACATACAGGG-1", "d05.data2_ATGGGTTCAAGATCCT-1", "d05.data2_CCTCAGTCAACAGCTT-1", "d05.data2_TGGGTTAGTAACTTCG-1", "d05.data2_ACCGTTCCATGGGATG-1", "d05.data2_TTCCAATGTCTAACGT-1", "d05.data2_TGGTTAGCAGGCTATT-1", "d05.data2_CACGTGGAGTACTGTC-1", "d05.data2_TCGCTCAGTATGTGTC-1", "d05.data2_CTCATTAGTAGTGGCA-1", "d05.data2_TTTCGATAGGCAGCTA-1", "d05.data2_ATGAAAGTCCCAAGTA-1", "d05.data2_AATCGACTCCACGTCT-1", "d05.data2_ACATCCCGTGGATCGA-1", "d05.data2_GTTCTATTCGCTGCGA-1", "d05.data2_TCGTCCAAGTGAGGCT-1", "d05.data2_TACGGTATCCGGCAGT-1", "d05.data2_CAGATCAGTATGTCTG-1", "d05.data2_CGTGAATGTCGTTATG-1", "d05.data2_GAATCACGTGATACCT-1", "d05.data2_GGTGATTAGCCATATC-1", "d05.data2_AGGCCACAGCCATGCC-1", "d05.data2_ATTGTTCCAGACACAG-1", "d05.data2_CAGTTCCTCTCTTCAA-1", "d05.data2_TCAGGGCGTAAGACCG-1", "d05.data2_GTTGAACCACCAGACC-1", "d05.data2_GTTCTATAGTAATACG-1", "d05.data2_CCACACTGTCGTTATG-1", "d05.data2_GAGTGAGTCAGAGTGG-1", "d05.data2_GGCTTTCCACCAGTTA-1", "d05.data2_AAGTCGTCAGGTTCAT-1", "d05.data2_AAAGGATAGCCTGTCG-1", "d05.data2_TTCCGGTAGGACGCTA-1", "d05.data2_AGGACGATCATTCGGA-1", "d05.data2_AGGATAACATGGAGAC-1", "d05.data2_CAGTGCGCATCTATCT-1", "d05.data2_TGGGATTTCGGCCCAA-1", "d05.data2_TATACCTCACAAACGG-1", "d05.data2_CAACGATCACATGGTT-1", "d05.data2_GGAGCAAAGCCATTCA-1", "d05.data2_CCTCTCCTCGGCGATC-1", "d05.data2_TTTAGTCTCGGCCAAC-1", "d05.data2_TTAGGCAGTTCTAAGC-1", "d05.data2_ATTTCTGGTTATGACC-1", "d05.data2_ACCTGTCGTCGTTGGC-1", "d05.data2_CCTGTTGGTTCGTAAC-1", "d05.data2_GAGCCTGTCTACCAGA-1", "d05.data2_AACGTCAAGTCGGCCT-1", "d05.data2_AGGATAATCCATCACC-1", "d05.data2_CAGCAATTCATGCCCT-1", "d05.data2_GTAGATCAGCGGACAT-1", "d05.data2_ATCCGTCTCGAAGCAG-1", "d05.data2_TTTGGTTTCCCATACC-1", "d05.data2_ACGTTCCGTACATTGC-1", "d05.data2_GTAAGTCCACCCTCTA-1", "d05.data2_GATGACTTCCATACAG-1", "d05.data2_CCACACTTCTCCGTGT-1", "d05.data2_ATTTACCTCGCCTATC-1", "d05.data2_TGGGATTAGGCTTAGG-1", "d05.data2_TTCTAACAGATCGCTT-1", "d05.data2_GTGTTAGTCACGATCA-1", "d05.data2_CCAAGCGGTAACAGGC-1", "d05.data2_GCCAGCAGTGTGTCCG-1", "d05.data2_CTACCCATCGGCTGTG-1", "d05.data2_ACTATCTTCATGAGTC-1", "d05.data2_ACTTTCATCAATCAGC-1", "d05.data2_CAACGGCCAATGGCCC-1", "d05.data2_CAAAGAAGTCTAGGTT-1", "d05.data2_CTTCCGAAGGTTCAGG-1", "d05.data2_CCATCACCAACATACC-1", "d05.data2_TAACGACAGGACTGGT-1", "d05.data2_GCGTGCATCGCGGACT-1", "d05.data2_CTCATTAAGAGGCGTT-1", "d05.data2_ATGAGGGGTTAGGGTG-1", "d05.data2_TTGATGGCAGGCGAAT-1", "d05.data2_GATTCGATCTTACCGC-1", "d05.data2_CCCTAACTCTTCCGTG-1", "d05.data2_TCGGTCTTCCGATCGG-1", "d05.data2_CTCCGATTCGGAAGGT-1", "d05.data2_CAACGGCAGCACCAGA-1", "d05.data2_TTCTGTAAGAAATGGG-1", "d05.data2_TTTGGTTCAGTCTCTC-1", "d05.data2_CAAGGGATCGCCAACG-1", "d05.data2_AGAGCAGCAAACTAGA-1", "d05.data2_CGTTGGGTCTATCGGA-1", "d05.data2_ACTGCAACAGGTCTCG-1", "d05.data2_CGAGGAACAGAGGGTT-1", "d05.data2_CATGAGTGTCTCTCAC-1", "d05.data2_CAGTGCGCAGCGATTT-1", "d05.data2_CTCCGATTCTGTAAGC-1", "d05.data2_TGAACGTGTAATGCTC-1", "d05.data2_AAACGCTGTTAGAGAT-1", "d05.data2_AGTACCACAGTGTGGA-1", "d05.data2_GTCACGGCATCTTTCA-1", "d05.data2_CTGTATTTCCGTTTCG-1", "d05.data2_CTACCCAGTTTCGTTT-1", "d05.data2_AAAGGGCCACAGTGAG-1", "d05.data2_CAGATACGTGTGCTTA-1", "d05.data2_GAGATGGGTCCAAATC-1", "d05.data2_GCGAGAAGTACCCGCA-1", "d05.data2_GATTTCTTCCCAGTGG-1", "d05.data2_CACATGAAGATCGGTG-1", "d05.data2_AGGGAGTCAACTTCTT-1", "d05.data2_GTAGGTTAGCGACTGA-1", "d05.data2_AGTAACCTCCTCACGT-1", "d05.data2_GACAGCCGTAACATGA-1", "d05.data2_CAAAGAATCAGCGTCG-1", "d05.data2_GGGTGTCAGGATTTGA-1", "d05.data2_TTCGATTGTACCCACG-1", "d05.data2_ATTCCTAAGGCACGAT-1", "d05.data2_TCGGATAGTCGCCACA-1", "d05.data2_GTCACGGAGTGACACG-1", "d05.data2_TCACGGGTCGTTATCT-1", "d05.data2_TGGAGGATCACCTGTC-1", "d05.data2_CCTTGTGAGTGATAAC-1", "d05.data2_CGGGCATTCGGCTGGT-1", "d05.data2_GCCAGTGAGCGGGTAT-1", "d05.data2_TCATACTAGTGGTCAG-1", "d05.data2_ACCCTTGGTGGATTTC-1", "d05.data2_GTGACGCGTTGGTGTT-1", "d05.data2_TACAACGAGTATTGCC-1", "d05.data2_CCATCACTCGCCTAGG-1", "d05.data2_TCACTATAGAGCCCAA-1", "d05.data2_GCGGATCCATAGATCC-1", "d05.data2_TGTGAGTAGGCACAAC-1", "d05.data2_TTGCATTTCTCTCTAA-1", "d05.data2_CTTAGGATCCATTTGT-1", "d05.data2_TAAGCCATCATGTCTT-1", "d05.data2_GAATCGTCAGTTGGTT-1", "d05.data2_GACACGCTCATCCCGT-1", "d05.data2_ACCCTCAAGGAACGTC-1", "d05.data2_ACCTACCGTAATCAAG-1", "d05.data2_TCGGGCATCGATCCAA-1", "d05.data2_TCACACCTCAACCTTT-1", "d05.data2_GAACACTTCTGACCCT-1", "d05.data2_TGAGCGCTCCGAACGC-1", "d05.data2_GAACTGTCACTTCAAG-1", "d05.data2_CTAACTTGTGCATTAC-1", "d05.data2_TGTTCATCATGTTACG-1", "d05.data2_TCATTACAGGCGAAGG-1", "d05.data2_CTGCCTATCGTCCATC-1", "d05.data2_CATAAGCTCTCCCATG-1", "d05.data2_ATTTCACTCCGATAGT-1", "d05.data2_CCACGTTGTGAGGAAA-1", "d05.data2_AGCTTCCAGTATGACA-1", "d05.data2_GGGACTCTCAGTAGGG-1", "d05.data2_TTACCGCGTAGCGCCT-1", "d05.data2_ATCACTTCACTGGACC-1", "d05.data2_CTCAAGAAGGTTTACC-1", "d05.data2_TACGTCCTCAACGTGT-1", "d05.data2_TGGAACTGTGCGTTTA-1", "d05.data2_CCTGTTGAGTGATAAC-1", "d05.data2_ACCATTTGTACCCGAC-1", "d05.data2_TTTCACAGTGGCTGAA-1", "d05.data2_CACATGAGTCATCAGT-1", "d05.data2_TGCTTCGGTCCACAGC-1", "d05.data2_CTGCCTACAACAAGTA-1", "d05.data2_TTTCATGAGGGCTTCC-1", "d05.data2_CTAACTTGTACGCTTA-1", "d05.data2_ATGCATGAGCATGCAG-1", "d05.data2_CGCATAATCCAGTTCC-1", "d05.data2_GTGTGATCATTGGGAG-1", "d05.data2_GAGCCTGAGTGAACAT-1", "d05.data2_AACGTCAGTTCAAGTC-1", "d05.data2_AGCGCTGCAGAGTGAC-1", "d05.data2_AAACGAATCACCTCGT-1", "d05.data2_TAGCACAAGACTACGG-1", "d05.data2_CTCCCTCCAATTGGTC-1", "d05.data2_CATGCCTTCCCATTCG-1", "d05.data2_CTGTATTCAGTCGCTG-1", "d05.data2_CATGGATAGGTAGCCA-1", "d05.data2_AGTAACCTCCACTTTA-1", "d05.data2_AACCTTTTCGTGGGAA-1", "d05.data2_GTTGCTCAGGCATCGA-1", "d05.data2_AAGACAATCAACGTGT-1", "d05.data2_TACCTCGAGTTGTCGT-1", "d05.data2_GTGTAACAGAATCGAT-1", "d05.data2_CCGTTCACATGACAAA-1", "d05.data2_TGTCCTGCATCGATAC-1", "d05.data2_ATGCATGTCCCTCAAC-1", "d05.data2_GCCAGTGTCTGCGGGT-1", "d05.data2_TATTGCTCACCTGCAG-1", "d05.data2_TGCAGTATCGAGTCCG-1", "d05.data2_TTGTTCATCTGCATAG-1", "d05.data2_TGCACGGAGCTCACTA-1", "d05.data2_ATGGTTGTCATCTGTT-1", "d05.data2_CATTTCAGTGCCTACG-1", "d05.data2_AGACAAACACTTGTGA-1", "d05.data2_ACAAAGAGTGATAGTA-1", "d05.data2_CACAACAAGCCTCAAT-1", "d05.data2_GCCGATGCAACTCCAA-1", "d05.data2_AATCGACAGGTCCCTG-1", "d05.data2_TACGTCCGTCAGTCTA-1", "d05.data2_AGGAATAGTCACTTCC-1", "d05.data2_GTTGCGGGTCCTGTTC-1", "d05.data2_CGATGCGCATTCTTCA-1", "d05.data2_TGTAAGCAGAATTGTG-1", "d05.data2_TTCTGTATCGGCATTA-1", "d05.data2_TCACATTTCTTTGCAT-1", "d05.data2_AGACCCGCAAGGATGC-1", "d05.data2_AGTCACAGTGTCTTGA-1", "d05.data2_TGGGCTGAGCTAGAGC-1", "d05.data2_TCAGTGATCCCGAGAC-1", "d05.data2_GTTGTGAAGCGTTACT-1", "d05.data2_GGCTTTCAGCCACCGT-1", "d05.data2_GTGTGATTCGAACGCC-1", "d05.data2_GAAGAATTCGCTACGG-1", "d05.data2_CGTTGGGGTCCACAGC-1", "d05.data2_TTTACCATCCATTGCC-1", "d05.data2_ACACCAAGTGCAACAG-1", "d05.data2_TAGGGTTAGCATGATA-1", "d05.data2_AAGAACAAGTAGTCTC-1", "d05.data2_CATTGTTTCCAATGCA-1", "d05.data2_GACACGCTCAGGTAAA-1", "d05.data2_CACTGTCAGCCTCAGC-1", "d05.data2_GGGTTATTCATCTATC-1", "d05.data2_CTTGATTAGATGACAT-1", "d05.data2_ACCTGTCAGAATCTAG-1", "d05.data2_TCCCAGTCAACAAAGT-1", "d05.data2_TGATCTTGTAACGTTC-1", "d05.data2_TCATGCCAGAATCTAG-1", "d05.data2_CTGAATGCAGTATGAA-1", "d05.data2_GAGCTGCAGTAATTGG-1", "d05.data2_GCACGTGTCGCTATTT-1", "d05.data2_CAGCGTGCATAGAATG-1", "d05.data2_GAGTCTAGTTCAAACC-1", "d05.data2_GTTCCGTAGGCATCTT-1", "d05.data2_TGCAGGCAGATAGCTA-1", "d05.data2_TGAGCATAGAATCGAT-1", "d05.data2_GCCAGTGGTCTCTCAC-1", "d05.data2_TGATGCAAGTACTGTC-1", "d05.data2_CTGTATTAGGGAGGTG-1", "d05.data2_ATTCCATTCCATTTGT-1", "d05.data2_CTCAGAAGTCAACCAT-1", "d05.data2_TCAAGTGGTCACTAGT-1", "d05.data2_GATGTTGAGTAGTCCT-1", "d05.data2_CATGCCTGTAGTATAG-1", "d05.data2_ACCGTTCTCTACGGGC-1", "d05.data2_ATTCCTACACCAGTTA-1", "d05.data2_AGTGCCGGTTAGAAGT-1", "d05.data2_CATGCTCCATGTGACT-1", "d05.data2_CTGGACGTCCCTTGTG-1", "d05.data2_GTTACAGAGACATCAA-1", "d05.data2_AGCGATTAGTTCCGTA-1", "d05.data2_GTGGCGTTCCGCGGAT-1", "d05.data2_CGGGCATAGACATCCT-1", "d05.data2_AGGGCCTGTTGGCCGT-1", "d05.data2_TGGGAAGTCCCAGGAC-1", "d05.data2_ACCGTTCTCTGTGCTC-1", "d05.data2_TTCTCTCCACCTCAGG-1", "d05.data2_TACACCCTCGAGCCAC-1", "d05.data2_TCTTTGAGTCGGTGAA-1", "d05.data2_CGTGCTTTCCACGGAC-1", "d05.data2_AGAAGTACATATACCG-1", "d05.data2_GAGCTGCGTCGCTTAA-1", "d05.data2_GTGGCGTTCAGACCTA-1", "d05.data2_CGAGAAGCACACGTGC-1", "d05.data2_CTCTCAGTCTCAAAGC-1", "d05.data2_TGCCGAGAGACAGTCG-1", "d05.data2_ACCCTCAAGGTTAAAC-1", "d05.data2_CCCTAACCAACTTCTT-1", "d05.data2_GACACGCGTCAAGTTC-1", "d05.data2_TTCAATCCAGAACTTC-1", "d05.data2_ACTTCGCCACCAGGTC-1", "d05.data2_ACCGTTCAGTGCCAGA-1", "d05.data2_GTCAAACGTCCAGTTA-1", "d05.data2_TTGCCTGCATGGCCCA-1", "d05.data2_ACTTATCGTTTGTTGG-1", "d05.data2_AGGATAAAGTTACGTC-1", "d05.data2_TCACTCGCAAATGGAT-1", "d05.data2_TCCTCTTCAAATCGTC-1", "d05.data2_CACTGAAGTTCAGCGC-1", "d05.data2_ACAAAGAAGGAGAGGC-1", "d05.data2_GTCAGCGGTTTCCCAC-1", "d05.data2_CATCCGTAGTAAGACT-1", "d05.data2_ACATCCCAGAGAAGGT-1", "d05.data2_GTTCATTGTCCACACG-1", "d05.data2_CCACCATCATGTTTGG-1", "d05.data2_TCCTAATCAAATACAG-1", "d05.data2_ATACTTCGTGTCGCTG-1", "d05.data2_GGGTTATCAAGAGTTA-1", "d05.data2_AATGGAACAAACACCT-1", "d05.data2_TCTCCGACAGTTGGTT-1", "d05.data2_GCACTAACAAGTTCGT-1", "d05.data2_CCTCTAGAGTATGGCG-1", "d05.data2_GGGTATTAGTGATTCC-1", "d05.data2_AGAGAATGTCCAGCCA-1", "d05.data2_TAACCAGAGTCCCGGT-1", "d05.data2_GAACTGTAGCGGCTCT-1", "d05.data2_TCTCAGCCAGTTTCAG-1", "d05.data2_TCTTAGTCATCGATCA-1", "d05.data2_CCACTTGGTCGCTTGG-1", "d05.data2_CGGAATTCAAGGCTTT-1", "d05.data2_TGGCGTGAGTCGCTAT-1", "d05.data2_ACACGCGTCAGACATC-1", "d05.data2_GTGCAGCCAAACTCTG-1", "d05.data2_CCTAACCGTAGATTAG-1", "d05.data2_GTCACTCCACTTGTGA-1", "d05.data2_TCATCCGCAGCGACCT-1", "d05.data2_GAAGCGAAGATCCGAG-1", "d05.data2_ATGTCCCGTTGCATCA-1", "d05.data2_AGGTAGGTCGCTGTCT-1", "d05.data2_TCGACCTGTGCGAGTA-1", "d05.data2_CTCCCAAGTATCCTTT-1", "d05.data2_CTTAGGACATAGAATG-1", "d05.data2_ATTCCCGGTTCGTTCC-1", "d05.data2_TGGAACTTCTCCTGTG-1", "d05.data2_ACTACGAAGCTCGCAC-1", "d05.data2_GGTAACTGTTCGTGCG-1", "d05.data2_ACTGATGTCCCAATAG-1", "d05.data2_CGACAGCCAAACTCGT-1", "d05.data2_ACCAAACCACATGACT-1", "d05.data2_CCTCAGTAGATACCAA-1", "d05.data2_TGGAGAGGTGGGCTCT-1", "d05.data2_GAGCCTGCAGCTAACT-1", "d05.data2_ATTCAGGAGATGCTAA-1", "d05.data2_TGGAGAGGTTGATCGT-1", "d05.data2_TATACCTGTGGTCCGT-1", "d05.data2_ATTGTTCGTTTCGATG-1", "d05.data2_GTAATCGAGCGCCTAC-1", "d05.data2_AAGATAGTCGTTCAGA-1", "d05.data2_ATGAAAGCACTGGATT-1", "d05.data2_ATAGACCCAGTCACGC-1", "d05.data2_GAACGTTTCCTCTAGC-1", "d05.data2_ATTCACTAGCGACTTT-1", "d05.data2_CTTCAATGTTTAGAGA-1", "d05.data2_CACAGGCCACTTGGGC-1", "d05.data2_CGACAGCCAGTTGTCA-1", "d05.data2_CAGGTATCAATCGCCG-1", "d05.data2_TGGTTAGGTCGTAATC-1", "d05.data2_TGACGCGAGTTCCGTA-1", "d05.data2_AAGCGAGAGGCCTGCT-1", "d05.data2_AGCTACAGTTTCGTTT-1", "d05.data2_ACGGTTAGTTTCACTT-1", "d05.data2_AAAGAACCACCTCTGT-1", "d05.data2_TTGGGTATCGTGTGAT-1", "d05.data2_TTGATGGAGGAATTAC-1", "d05.data2_CGAGGAATCAAGAAAC-1", "d05.data2_TGTGTGAGTTGTCCCT-1", "d05.data2_GCTACCTTCCGACGGT-1", "d05.data2_CAGTTCCAGCCATTCA-1", "d05.data2_CACGAATGTGCTATTG-1", "d05.data2_CCACGTTAGCCTGAGA-1", "d05.data2_ATGGATCGTATAGCTC-1", "d05.data2_GTGGTTACAGCTGCCA-1", "d05.data2_CAGGGCTGTACCCACG-1", "d05.data2_TTGTGTTAGTATTGCC-1", "d05.data2_CATCCACGTTACCCAA-1", "d05.data2_AACCTTTGTGTTAACC-1", "d05.data2_CCTTCAGGTAGCGATG-1", "d05.data2_TACCGAATCCCGGTAG-1", "d05.data2_CCTATCGGTTAAACAG-1", "d05.data2_TCATTTGCAGGAGGAG-1", "d05.data2_TAGGTTGCAGCAGGAT-1", "d05.data2_GGGTATTCAATCTCTT-1", "d05.data2_GTCTAGATCCACTTTA-1", "d05.data2_ACATCGAGTAAGCGGT-1", "d05.data2_TTTACGTGTCGTATGT-1", "d05.data2_AGGGTGAAGAGCCCAA-1", "d05.data2_ATTTACCCACGTACAT-1", "d05.data2_GCAGTTAGTTGTTTGG-1", "d05.data2_ATCTCTACATCTCCCA-1", "d05.data2_GTTGTGAGTAATTAGG-1", "d05.data2_CAGATCAGTAGACAGC-1", "d05.data2_ATGTCCCAGTCTAGCT-1", "d05.data2_AGGGTGAGTCCGTACG-1", "d05.data2_AGTACTGGTTACCTGA-1", "d05.data2_CACATGACAGACCATT-1", "d05.data2_GATTTCTCACAAATAG-1", "d05.data2_GGCGTCACACTAGGTT-1", "d05.data2_TCTTGCGAGTGGAATT-1", "d05.data2_TGATTTCAGTTCACTG-1", "d05.data2_CAACAGTGTCTATGAC-1", "d05.data2_CTTAGGACAGTTGCGC-1", "d05.data2_TGTGCGGCATGCCGCA-1", "d05.data2_CTGCCTAAGTTGGACG-1", "d05.data2_ACTTATCCACGACGAA-1", "d05.data2_CTCCACAGTACCCAGC-1", "d05.data2_CCTCTAGTCGAAATCC-1", "d05.data2_TAGCACATCGATGCAT-1", "d05.data2_CATTTCATCGTTCTGC-1", "d05.data2_CCATAAGGTGGATACG-1", "d05.data2_TCGGATACACCCTATC-1", "d05.data2_CACTGTCCAGTCGAGA-1", "d05.data2_GTGGAGATCAAGTTGC-1", "d05.data2_GGGCGTTTCGCCTTTG-1", "d05.data2_GAAACCTGTATCCCAA-1", "d05.data2_AGCGATTGTGAAGCGT-1", "d05.data2_TAGGGTTAGTAAGAGG-1", "d05.data2_TTGGGTATCCTAAACG-1", "d05.data2_GTCGTTCGTTCGTGCG-1", "d05.data2_AGCTTCCGTACGGTTT-1", "d05.data2_AGATCGTGTATCGTTG-1", "d05.data2_ACTTTGTTCACTCACC-1", "d05.data2_ACCTACCCATCTCGTC-1", "d05.data2_TGTTACTTCCGCGATG-1", "d05.data2_TCAGTCCGTTCTATCT-1", "d05.data2_CCATAAGAGATTGTGA-1", "d05.data2_TCGCTCAGTCCACTTC-1", "d05.data2_CTTGATTTCGAACGCC-1", "d05.data2_TTGTGGAAGTTTGGCT-1", "d05.data2_CTCAATTCAGGGTTGA-1", "d05.data2_TTTAGTCGTATGAAAC-1", "d05.data2_CCTATCGTCCCGTGAG-1", "d05.data2_GACTATGCAATCAGCT-1", "d05.data2_TAGAGTCTCGCACTCT-1", "d05.data2_ACATGCACATTCGATG-1", "d05.data2_GGAGGTATCTCGCTCA-1", "d05.data2_TCGTGGGCACCTAAAC-1", "d05.data2_CTCAGAAAGGACATCG-1", "d05.data2_CCACAAACATCGATCA-1", "d05.data2_TGCAGGCCAGTTGAAA-1", "d05.data2_GGGACTCCATGTTTGG-1", "d05.data2_GTCATTTCACGAAGAC-1", "d05.data2_TCTTAGTCAAGAGTTA-1", "d05.data2_GGTAGAGCACTGGCGT-1", "d05.data2_AAGCCATCAATTCTTC-1", "d05.data2_ACTTATCCAGCTCATA-1", "d05.data2_CTTAGGAGTTCCGCAG-1", "d05.data2_TCAGCCTAGACGAAGA-1", "d05.data2_GCTTTCGAGTCTTCCC-1", "d05.data2_TCGCTTGGTCGTACAT-1", "d05.data2_ATTTACCTCACCGACG-1", "d05.data2_CTCAACCGTATCAGGG-1", "d05.data2_GGCAGTCGTTACGTAC-1", "d05.data2_CATTGCCTCCTCTCTT-1", "d05.data2_TAGCACATCACCGCTT-1", "d05.data2_CGTGCTTGTATGTGTC-1", "d05.data2_CTCCTCCTCTGAATCG-1", "d05.data2_CATTCTACACATGAAA-1", "d05.data2_CCACGTTGTGGGACAT-1", "d05.data2_TCATGCCAGCCGGATA-1", "d05.data2_GATTTCTAGCGGGTAT-1", "d05.data2_GCAACATAGCAACCAG-1", "d05.data2_CGAAGGATCACCTGGG-1", "d05.data2_TTTCCTCTCATCGACA-1", "d05.data2_TTACGTTAGTAAACGT-1", "d05.data2_CTTCGGTTCCGTTGGG-1", "d05.data2_AGCGCTGCAAGTCCCG-1", "d05.data2_TATTGGGAGATGTAGT-1", "d05.data2_TCGCTTGTCAACGTGT-1", "d05.data2_TGGATCAAGGGCTTCC-1", "d05.data2_TCATTTGAGTAAGAGG-1", "d05.data2_AGCCAGCCACTGTTCC-1", "d05.data2_GTAAGTCTCTCATGGA-1", "d05.data2_TTGTTGTCACTGTCCT-1", "d05.data2_AACCACAGTCAGGTGA-1", "d05.data2_TACACCCAGTGCTCAT-1", "d05.data2_AAACGCTCAAATGAAC-1", "d05.data2_ACTGTCCTCCGTATAG-1", "d05.data2_GTAACACCATTCCTAT-1", "d05.data2_CATCCCACAAACACGG-1", "d05.data2_TCCTTTCTCTTGGTCC-1", "d05.data2_CTGCATCGTTCCTAGA-1", "d05.data2_CAGCACGGTACTAGCT-1", "d05.data2_CAGAGCCAGTTCCATG-1", "d05.data2_TTGGTTTGTCCCGCAA-1", "d05.data2_CAGTTAGCAGTTCACA-1", "d05.data2_CCGCAAGAGGATACGC-1", "d05.data2_GATTGGTTCGACCACG-1", "d05.data2_GAAACCTCATAGAATG-1", "d05.data2_GCACGTGTCTCGCTTG-1", "d05.data2_CTCAAGAAGCACGGAT-1", "d05.data2_GCCAGTGGTCTTACAG-1", "d05.data2_ATCTTCATCAACGCTA-1", "d05.data2_AGAGAGCAGGTTGCCC-1", "d05.data2_ATGACCATCCATAGAC-1", "d05.data2_CTAACTTAGTACAACA-1", "d05.data2_CATGCAAAGGATTACA-1", "d05.data2_CACCAAACACGAGGAT-1", "d05.data2_GTGAGCCTCCTATTGT-1", "d05.data2_ACCAACAGTGAAGCTG-1", "d05.data2_AGGTCTAAGGTTGGTG-1", "d05.data2_ATCCTATGTGTCATGT-1", "d05.data2_CAATGACTCTGAGTCA-1", "d05.data2_TCGGATATCGCAATTG-1", "d05.data2_GAAGGACGTGTTATCG-1", "d05.data2_TCAGTCCCACGCAGTC-1", "d05.data2_TTCTCTCCAGGGTCTC-1", "d05.data2_CAACAGTCATGGATCT-1", "d05.data2_TTGCCTGAGGGAGATA-1", "d05.data2_AGCTACAAGAATCGCG-1", "d05.data2_CCTAACCCATCGGTTA-1", "d05.data2_GCTGGGTGTTCCGCGA-1", "d05.data2_CATGCGGAGCTGAAAT-1", "d05.data2_AACAAGAGTATTGGCT-1", "d05.data2_AAGGAATGTCAATCTG-1", "d05.data2_CTTGAGAAGTAACAGT-1", "d05.data2_ATAGACCTCATTTCGT-1", "d05.data2_ACGGTTATCTTGGATG-1", "d05.data2_CATACCCCATGAGAAT-1", "d05.data2_CATGGATGTATGAGAT-1", "d05.data2_ATACTTCGTTAAGGAT-1", "d05.data2_GTCACGGGTGCCTTCT-1", "d05.data2_TGAACGTTCTTAGGAC-1", "d05.data2_ATTTACCAGTCATGCT-1", "d05.data2_GAATCACCATACAGGG-1", "d05.data2_GAGTCTAAGCTGTACT-1", "d05.data2_TCCTCGATCTATGTGG-1", "d05.data2_CTTCCTTTCATTGCTT-1", "d05.data2_CATCCCATCTTGAGCA-1", "d05.data2_TGCGATACACAATTCG-1", "d05.data2_AAGACAACACCTGAAT-1", "d05.data2_TGGTACATCGACACTA-1", "d05.data2_GGGTGTCTCCGAGTGC-1", "d05.data2_GTAGAAAGTCCGTACG-1", "d05.data2_GGCACGTTCCGACAGC-1", "d05.data2_GGATCTACATGAGTAA-1", "d05.data2_AGAGAATTCTAACGCA-1", "d05.data2_TCATTGTTCTTAGCAG-1", "d05.data2_GGCTTGGTCAGTAGGG-1", "d05.data2_ATGATCGGTGAGTTTC-1", "d05.data2_GTCCCATTCGTTCAGA-1", "d05.data2_AAGGAATGTGATACTC-1", "d05.data2_CTACTATTCACGATAC-1", "d05.data2_TGAATGCGTTTCCCAC-1", "d05.data2_TTCGGTCTCAGCTAGT-1", "d05.data2_TGCTTCGCATTACTCT-1", "d05.data2_ATCTTCAAGATGGTAT-1", "d05.data2_AAACCCAAGGTGGCTA-1", "d05.data2_TGCGATATCATAGGCT-1", "d05.data2_ACTATCTTCTCCCAAC-1", "d05.data2_AAGTACCAGGTTACCT-1", "d05.data2_AGGACTTGTACCTAGT-1", "d05.data2_GTTACGAGTATCCTCC-1", "d05.data2_GATAGCTCAGTCAGTT-1", "d05.data2_GTAGCTAGTGGACCAA-1", "d05.data2_ATGTCTTCAGCATACT-1", "d05.data2_TCATTACTCATATGGC-1", "d05.data2_GGGCCATGTGAGACCA-1", "d05.data2_ACAAGCTGTACTCCGG-1", "d05.data2_AGAAATGAGTATAGAC-1", "d05.data2_CACATGAAGTTATGGA-1", "d05.data2_TCATTACAGGTTAGTA-1", "d05.data2_AGGGTTTAGGCCTTCG-1", "d05.data2_GCCAGGTGTAACGCGA-1", "d05.data2_TAATTCCTCTACAGGT-1", "d05.data2_TCCATGCAGCTAATGA-1", "d05.data2_CTGCCATCAGCTTCGG-1", "d05.data2_GCGGAAAGTGTTAAAG-1", "d05.data2_TCGTAGAAGTGGTTGG-1", "d05.data2_GTAATGCCAGGTTTAC-1", "d05.data2_GGAACCCTCCCTAGGG-1", "d05.data2_TGGAACTGTCTGTGGC-1", "d05.data2_TAGGTTGGTGCTGTCG-1", "d05.data2_TGTTACTCACAAATAG-1", "d05.data2_CCTAACCCAGTTAGGG-1", "d05.data2_ATGAGGGCATGGTACT-1", "d05.data2_GACCAATTCGCTACAA-1", "d05.data2_ATTGGGTGTGCCCAGT-1", "d05.data2_GTTCATTAGGTCACCC-1", "d05.data2_GGGAGATTCCGCAAAT-1", "d05.data2_TCACAAGCACGCTGAC-1", "d05.data2_CATCCGTAGTGAGGTC-1", "d05.data2_CATCGGGTCTAAGCGT-1", "d05.data2_GCTGCAGAGTGTTGTC-1", "d05.data2_AGCCAGCCATGGGATG-1", "d05.data2_GAGAAATGTTAGGGAC-1", "d05.data2_TCATGTTTCGGTCGGT-1", "d05.data2_TTGCATTGTGGTACAG-1", "d05.data2_TGGGATTCATGGGCAA-1", "d05.data2_GTGCTTCCACCTCTAC-1", "d05.data2_GGGCTCAAGATGCCGA-1", "d05.data2_TGTCCACTCTAATTCC-1", "d05.data2_TTTATGCCAAGGTTGG-1", "d05.data2_TCATTTGCACATCATG-1", "d05.data2_GTGCACGTCGAGCTGC-1", "d05.data2_TGAGGTTCAGACGATG-1", "d05.data2_ACCCAAAAGACCGTTT-1", "d05.data2_TTATTGCTCTAGCATG-1", "d05.data2_AAGACAAGTTGGACCC-1", "d05.data2_TCATTTGCACGTGAGA-1", "d05.data2_CTCTCGACAAAGCACG-1", "d05.data2_ACACGCGGTGCGTGCT-1", "d05.data2_GCTGAATGTCGGCCTA-1", "d05.data2_ACAACCATCTGACCCT-1", "d05.data2_CCAATTTAGGCTTAAA-1", "d05.data2_GAACACTCAACCAACT-1", "d05.data2_TCTATACAGTTGGGAC-1", "d05.data2_GAGGCCTCACTGTGAT-1", "d05.data2_GCACATAGTACATACC-1", "d05.data2_ACTGTGACAACAGAGC-1", "d05.data2_GGTGAAGGTTGACTAC-1", "d05.data2_CTGCTCAGTGTATTGC-1", "d05.data2_AGGACGAGTACGATCT-1", "d05.data2_CCAATGACATGATCTG-1", "d05.data2_CAGCCAGGTCGCAGTC-1", "d05.data2_AACTTCTTCCCTATTA-1", "d05.data2_AGGTTGTCACTTGTCC-1", "d05.data2_CAGTTCCCAAATGCTC-1", "d05.data2_ATGGATCGTACCTAGT-1", "d05.data2_TGTCCTGGTGCAACGA-1", "d05.data2_CCAATGAGTGCATTAC-1", "d05.data2_GAATCACTCACCATGA-1", "d05.data2_AAGACTCAGAGAGCAA-1", "d05.data2_AGGTCTACAACGCATT-1", "d05.data2_GTCATGACAAGCAGGT-1", "d05.data2_AGTTCGACAGGACTAG-1", "d05.data2_GTTTACTGTATACAGA-1", "d05.data2_CGTAATGAGTTAGAAC-1", "d05.data2_GCTCAAACATAATCCG-1", "d05.data2_ACTGTGAGTATCCTTT-1", "d05.data2_TACCGGGCAGGTCAGA-1", "d05.data2_ATCATTCGTTGGAGAC-1", "d05.data2_AGATCCACATTCTCTA-1", "d05.data2_CTACATTTCGAACACT-1", "d05.data2_AACCTTTCATGTGTCA-1", "d05.data2_AAGTTCGGTCAGACTT-1", "d05.data2_ATCCCTGGTTTAGTCG-1", "d05.data2_TCTACATAGGGAGTTC-1", "d05.data2_TTAGTCTGTACCTAAC-1", "d05.data2_TACGTCCTCAGGTGTT-1", "d05.data2_CGCATAAAGCGTCAGA-1", "d05.data2_ATACCTTAGCAGGTCA-1", "d05.data2_ACTTCCGGTGAGACCA-1", "d05.data2_CAATGACAGAAGCCAC-1", "d05.data2_CATACTTCAATCTAGC-1", "d05.data2_CCCAACTAGGCCCAAA-1", "d05.data2_CCTAACCGTGTTAACC-1", "d05.data2_GCCCAGATCATTGCCC-1", "d05.data2_GCAACCGGTTCCAGGC-1", "d05.data2_TTGAGTGCACTAAACC-1", "d05.data2_AGAGAGCAGTCGCTAT-1", "d05.data2_CTACCTGCACCCTTGT-1", "d05.data2_TAACGACTCGAACCTA-1", "d05.data2_CTATCCGTCACGATCA-1", "d05.data2_ACGTCCTCATGCTGCG-1", "d05.data2_CAGTTCCGTAACCCGC-1", "d05.data2_TGATGGTCATGGATCT-1", "d05.data2_AACAAGAGTCACTAGT-1", "d05.data2_AACAAGAGTAGAGACC-1", "d05.data2_CCTTGTGTCGATGCAT-1", "d05.data2_CAAAGAATCGCTACGG-1", "d05.data2_TTCATGTGTTTAAGGA-1", "d05.data2_TCGCAGGCACTATCGA-1", "d05.data2_ATCCCTGTCTAGATCG-1", "d05.data2_CCTCCTCTCGCTTTAT-1", "d05.data2_AGGAAATAGGAATTAC-1", "d05.data2_AGCTACAGTTGCATAC-1", "d05.data2_ATACTTCCACATCATG-1", "d05.data2_TAATCTCCACTTGAAC-1", "d05.data2_TAATTCCGTTCAATCG-1", "d05.data2_ACCTGAAAGTAGTCTC-1", "d05.data2_TTGACCCCATAGCACT-1", "d05.data2_CCACAAAAGTCGTCTA-1", "d05.data2_AGCCAGCCACCACTGG-1", "d05.data2_TGTGATGGTACTGCGC-1", "d05.data2_CATCGCTGTCCGAAAG-1", "d05.data2_ACCTGTCTCTGTGCTC-1", "d05.data2_CGAGTTAAGCGTCTGC-1", "d05.data2_CAGTTAGTCACCTCGT-1", "d05.data2_CTAGACAAGCGGGTAT-1", "d05.data2_GTCTACCTCTCATTTG-1", "d05.data2_TGAACGTTCATGGAGG-1", "d05.data2_TTTACGTCAGCTCCTT-1", "d05.data2_AACAAAGCAAATACAG-1", "d05.data2_AAGACAAAGCGACAGT-1", "d05.data2_CTTACCGTCCTTCTTC-1", "d05.data2_TCGGGACTCCCTCGTA-1", "d05.data2_CTCAGAAGTCTTCTAT-1", "d05.data2_ATCGGCGCAGGAATCG-1", "d05.data2_TTGACCCGTCTACAGT-1", "d05.data2_ATAGAGACAATGAACA-1", "d05.data2_TCAGCCTAGGGAGATA-1", "d05.data2_AGTCATGAGAGGACTC-1", "d05.data2_TACGCTCAGCGGCTCT-1", "d05.data2_AGGTCATGTTAATCGC-1", "d05.data2_AACAAGACAGCAATTC-1", "d05.data2_CAAGAGGAGAGGATGA-1", "d05.data2_GGAGATGCAAGTGGCA-1", "d05.data2_TCGTCCAGTATGGAAT-1", "d05.data2_GGGACCTGTGTCCACG-1", "d05.data2_TGCTTCGTCATCTATC-1", "d05.data2_CTGCTCATCATACAGC-1", "d05.data2_AGTAACCAGTGGATAT-1", "d05.data2_GAGCCTGTCAAAGGTA-1", "d05.data2_TGAGCGCAGCTTGTTG-1", "d05.data2_GGGAAGTAGGATTCCT-1", "d05.data2_CCACAAACACTGAATC-1", "d05.data2_GATGCTATCGCTCCTA-1", "d05.data2_ACCCTCAAGCCTCAAT-1", "d05.data2_TCGAAGTTCGACGCTG-1", "d05.data2_TTCCGTGCAGAGGAAA-1", "d05.data2_TACCTGCCAGACTCTA-1", "d05.data2_TGTTGAGCAATTAGGA-1", "d05.data2_TGTGCGGCACACTTAG-1", "d05.data2_CTGAGGCGTCGGAAAC-1", "d05.data2_TCCTTCTGTCTACATG-1", "d05.data2_AGCTACATCTCATTTG-1", "d05.data2_CATTCTACACGGGCTT-1", "d05.data2_CTCCTCCCAGTCTGGC-1", "d05.data2_TCATGTTAGCAGATAT-1", "d05.data2_AAAGTCCAGCTATCTG-1", "d05.data2_GTTGTGACACTCCGGA-1", "d05.data2_AGCGTATTCGAATGCT-1", "d05.data2_CAATCGACATCTTCGC-1", "d05.data2_ATCACAGAGGTACCTT-1", "d05.data2_GATAGAACAACTTGCA-1", "d05.data2_GATTCGACAGAGGAAA-1", "d05.data2_TTTCCTCAGTGATAAC-1", "d05.data2_ATCCATTTCTCACCCA-1", "d05.data2_AGTCATGGTTCGAGCC-1", "d05.data2_GCACATAAGCGACTAG-1", "d05.data2_TCTTTGAGTCGGAACA-1", "d05.data2_TGCATGAAGCATAGGC-1", "d05.data2_AGCCACGCATCATCCC-1", "d05.data2_CCACGTTTCTCCTGAC-1", "d05.data2_TTCTTGAAGCTGCCAC-1", "d05.data2_CTCCACAGTCTTTATC-1", "d05.data2_GTAGATCCATGTAACC-1", "d05.data2_AATTTCCTCCTACAAG-1", "d05.data2_GGGAGTACAAACTGCT-1", "d05.data2_GCAGCCATCGATCCAA-1", "d05.data2_GGGTTTATCTACACTT-1", "d05.data2_GCCCGAACATCCTTCG-1", "d05.data2_TGACTCCTCGATACAC-1", "d05.data2_CACATGACACCCTGTT-1", "d05.data2_GGTTAACTCATTTACC-1", "d05.data2_ACTATGGCATGTAACC-1", "d05.data2_CGCAGGTTCGGAGATG-1", "d05.data2_AGCTCAATCCTGGGAC-1", "d05.data2_GGGATCCAGAGTCGAC-1", "d05.data2_TCCGTGTCATACATCG-1", "d05.data2_TACCCGTTCCAGTGTA-1", "d05.data2_CGCCAGAAGCTCACTA-1", "d05.data2_CATTTCATCGAGAAAT-1", "d05.data2_AATAGAGGTGTTGACT-1", "d05.data2_AAAGGTACAAAGAACT-1", "d05.data2_ATCTTCAGTATTTCTC-1", "d05.data2_TTGAGTGCAGCGCTTG-1", "d05.data2_GACGTTAGTTAGAAAC-1", "d05.data2_TGGGCTGGTAGCTGTT-1", "d05.data2_TGAGACTGTAGTAAGT-1", "d05.data2_TCATGTTAGGACAACC-1", "d05.data2_CTAAGTGGTATTGAGA-1", "d05.data2_GCACTAATCCAGTGCG-1", "d05.data2_AGTTCCCCAAGTATCC-1", "d05.data2_AGGCATTTCCCAACTC-1", "d05.data2_AAGCGTTTCATGACAC-1", "d05.data2_TCCAGAAGTCTGATAC-1", "d05.data2_CTGTATTTCATCGTAG-1", "d05.data2_CTGGCAGTCCACAGCG-1", "d05.data2_ATGGATCGTAGCTCGC-1", "d05.data2_TGAGCGCGTATGCTTG-1", "d05.data2_AACCAACCAAGGCTTT-1", "d05.data2_GTTCTATTCGACGATT-1", "d05.data2_CTAACCCGTGTGCCTG-1", "d05.data2_ACTCCCATCACCTGGG-1", "d05.data2_CCACGAGTCCTCGATC-1", "d05.data2_ATTTACCGTCACTACA-1", "d05.data2_AATGCCACAAGCAATA-1", "d05.data2_ATGCATGTCATGGAGG-1", "d05.data2_TTCTAACCAAGACGAC-1", "d05.data2_TCATCATGTTTACCTT-1", "d05.data2_AGTTCGATCTAGCAAC-1", "d05.data2_CGCATGGTCCTTATCA-1", "d05.data2_CTATAGGGTGTCCCTT-1", "d05.data2_ACTTCCGGTCAAAGAT-1", "d05.data2_CTATAGGTCTCTGACC-1", "d05.data2_CCACTTGCACTTTAGG-1", "d05.data2_GGGAGTAGTTATGTGC-1", "d05.data2_TCATACTCATTGACCA-1", "d05.data2_GATGATCGTAGCGAGT-1", "d05.data2_ATCCTATCAAATCGTC-1", "d05.data2_TTTCATGCACCTGAAT-1", "d05.data2_TGAGGGATCCATCTGC-1", "d05.data2_TATGTTCTCGGTGTAT-1", "d05.data2_GCCATGGTCTACACAG-1", "d05.data2_AAGATAGGTGCTTCAA-1", "d05.data2_GTCAGCGTCTACACAG-1", "d05.data2_CCTTCAGGTCCCAAAT-1", "d05.data2_TCTCAGCAGTCAGCGA-1", "d05.data2_GAATCGTCACACCGCA-1", "d05.data2_TCCACCAAGACGACGT-1", "d05.data2_TGACGCGAGCCGGAAT-1", "d05.data2_GATCCCTCAGCATGCC-1", "d05.data2_TACCTGCAGACGGTCA-1", "d05.data2_GCAGCTGCATGTGACT-1", "d05.data2_GCAACATAGCTGAGCA-1", "d05.data2_CATGCAAAGGGCAACT-1", "d05.data2_TTCAATCGTAGCTTTG-1", "d05.data2_GCTTGGGAGTATGGCG-1", "d05.data2_GTCAAGTAGGCTTCCG-1", "d05.data2_TACGGTAGTTCAGCGC-1", "d05.data2_TCGCAGGCACAGCGCT-1", "d05.data2_GTTGTGAGTCTCTCCA-1", "d05.data2_ACCATTTAGCTGGAGT-1", "d05.data2_GTGAGTTTCAACCTTT-1", "d05.data2_CGAGTTAAGCCAGAGT-1", "d05.data2_AACAACCAGTAGACAT-1", "d05.data2_GTGAGGATCTCTTAAC-1", "d05.data2_GGTGATTTCGACCACG-1", "d05.data2_AAGATAGTCTTCTGTA-1", "d05.data2_AGCGATTGTACGCTTA-1", "d05.data2_GCCGATGCATATACCG-1", "d05.data2_CCGAACGGTCAAACGG-1", "d05.data2_TGCGGGTGTTCGGCCA-1", "d05.data2_CTAACCCAGACATGCG-1", "d05.data2_GAGACTTTCCGGACGT-1", "d05.data2_AGGGTTTAGCGTTAGG-1", "d05.data2_TCGACGGAGTCTCTGA-1", "d05.data2_ATCCCTGCAACAAAGT-1", "d05.data2_CTACCTGCAGTTGTTG-1", "d05.data2_CGGAATTGTGTCGATT-1", "d05.data2_GCAGGCTCAATGTGGG-1", "d05.data2_GCATCTCTCTCTGGTC-1", "d05.data2_TCGTGGGGTTTGTTGG-1", "d05.data2_CCACAAATCCTCTAGC-1", "d05.data2_TTCTGTAGTTCCCAAA-1", "d05.data2_AGGGTCCGTCGTATTG-1", "d05.data2_GCCATTCCATAACGGG-1", "d05.data2_CTACATTGTCAGTTTG-1", "d05.data2_GGTAATCTCTAGCATG-1", "d05.data2_CGCATAATCATACAGC-1", "d05.data2_CTCCTCCTCGCATAGT-1", "d05.data2_AAGACAAGTCGACGCT-1", "d05.data2_TCCATGCCAGGAACCA-1", "d05.data2_TGATGGTTCACCGACG-1", "d05.data2_GGTGTCGTCCTCACTG-1", "d05.data2_TCTATACAGCATGATA-1", "d05.data2_CTATCTAAGGTTGCCC-1", "d05.data2_TTGGATGCAGTTGCGC-1", "d05.data2_GTAGTACAGGGCTAAC-1", "d05.data2_GAACTGTAGCTAGAGC-1", "d05.data2_GCCAGGTTCGCATGAT-1", "d05.data2_TTTCACAGTCACAATC-1", "d05.data2_TCTGGCTAGTTGGAAT-1", "d05.data2_AACCTGAGTAACATAG-1", "d05.data2_CAAGCTAAGGAAGTAG-1", "d05.data2_GGTTAACGTGTGAGCA-1", "d05.data2_TTCCTAATCTTCACAT-1", "d05.data2_TGCGATACACACCTAA-1", "d05.data2_TTCTTCCTCCTCACCA-1", "d05.data2_CATGCAACATCAACCA-1", "d05.data2_ATGCATGCACTGTTCC-1", "d05.data2_CTACTATTCGAACCAT-1", "d05.data2_TTCTAGTCACACACGC-1", "d05.data2_TAATTCCCAGAGGTTG-1", "d05.data2_ACTTATCTCGGTCGAC-1", "d05.data2_AAAGAACCACCTAAAC-1", "d05.data2_TACGGTATCAATGTCG-1", "d05.data2_GAATCACCAAGGCTTT-1", "d05.data2_TACCTGCCAGTATTCG-1", "d05.data2_TACTGCCTCACGGGCT-1", "d05.data2_TCCAGAACACCCTTGT-1", "d05.data2_TCATTTGTCGTTAGAC-1", "d05.data2_CCGTAGGGTCTTGAAC-1", "d05.data2_AGTAACCTCAGGAAAT-1", "d05.data2_TTGATGGTCGAACGCC-1", "d05.data2_TCGCTCATCCTCGATC-1", "d05.data2_GGTGGCTAGTAACGAT-1", "d05.data2_GACCCTTAGTCTCCTC-1", "d05.data2_CAACAACCAATGTTGC-1", "d05.data2_CTGCCATCAGCTTTCC-1", "d05.data2_GATGGAGTCCTTGACC-1", "d05.data2_ATCACAGGTAAGCAAT-1", "d05.data2_ACCAACATCGTGCGAC-1", "d05.data2_CAATCGATCAAAGGTA-1", "d05.data2_TTAATCCAGACCAACG-1", "d05.data2_TGAGGGACAGTTAGGG-1", "d05.data2_GAGGGATTCGTAGCCG-1", "d05.data2_GTAAGTCAGACTCTTG-1", "d05.data2_ATGGTTGTCGAGTCTA-1", "d05.data2_GTGACGCCACGGCCAT-1", "d05.data2_TTATTGCGTTAAGACA-1", "d05.data2_GAACTGTAGAGCCGAT-1", "d05.data2_GTCTCACAGGTTCCAT-1", "d05.data2_ACTCTCGGTCCATAGT-1", "d05.data2_ATACTTCGTGGTGATG-1", "d05.data2_CGTCAAAGTTCCTAGA-1", "d05.data2_TGGTACATCAAGTGTC-1", "d05.data2_TCGAACATCGCTGCGA-1", "d05.data2_CTGCAGGGTCTCGGGT-1", "d05.data2_CATTGCCAGGGTAATT-1", "d05.data2_TCTAACTAGGTCTACT-1", "d05.data2_ACTGTGAGTAATACCC-1", "d05.data2_CAGAGCCGTTCATCGA-1", "d05.data2_CCAATTTCAGCAGTAG-1", "d05.data2_TTCTGTATCCGGTAAT-1", "d05.data2_ACACAGTTCGCTACGG-1", "d05.data2_GGGACAAAGAAGCGCT-1", "d05.data2_GACATCATCCACGTCT-1", "d05.data2_CGAGTGCCATGGCTGC-1", "d05.data2_TCTCACGGTCATCCGG-1", "d05.data2_TTATTGCCAGCTTTGA-1", "d05.data2_ACTTATCTCCGTATAG-1", "d05.data2_ATTTCACTCATGAGGG-1", "d05.data2_AGCATCATCCTGCTAC-1", "d05.data2_TGTTCTAGTTATCCAG-1", "d05.data2_ATGCCTCTCTCCACTG-1", "d05.data2_TCTGTCGCAGCGTGAA-1", "d05.data2_GTCAGCGTCCAAGAGG-1", "d05.data2_CGGAACCGTGCTTCAA-1", "d05.data2_AGACTCACACTGAGGA-1", "d05.data2_TATTTCGTCGCATGAT-1", "d05.data2_AAAGGTACACTGTTCC-1", "d05.data2_AGCCAATTCGTCAGAT-1", "d05.data2_TCCCACAAGTTCGGTT-1", "d05.data2_TACACCCCATACTGTG-1", "d05.data2_TGACTCCGTTACAGCT-1", "d05.data2_CATCGTCAGGTTACCT-1", "d05.data2_TATCAGGCAACAAAGT-1", "d05.data2_CCACAAATCTTGTGCC-1", "d05.data2_TCCATCGTCCGCAAAT-1", "d05.data2_TAGTGCAGTCTACGTA-1", "d05.data2_TGATGCAGTATCACCA-1", "d05.data2_AGTGTTGCACTAGAGG-1", "d05.data2_CATCGTCTCCACGGAC-1", "d05.data2_AGAGCCCAGGGTTAGC-1", "d05.data2_TCCTCTTAGACATCCT-1", "d05.data2_TAAGCCAAGTCAGCCC-1", "d05.data2_TATCTTGTCGCTTGCT-1", "d05.data2_CAGCAATTCTAGCAAC-1", "d05.data2_GCTTCACTCGACCTAA-1", "d05.data2_CTAACCCCAAGAAATC-1", "d05.data2_TTCCGTGCAATTGCGT-1", "d05.data2_ATCATTCGTGCCGGTT-1", "d05.data2_GCTCAAACACGATTCA-1", "d05.data2_AGTGTTGCATACGCAT-1", "d05.data2_CTCAGAATCTACCCAC-1", "d05.data2_TAACTTCGTCATGGCC-1", "d05.data2_AGCTCAAAGTCTGGTT-1", "d05.data2_TAGAGTCTCCGGGACT-1", "d05.data2_TCGCTTGCACCCTCTA-1", "d05.data2_GGCACGTAGCTGGTGA-1", "d05.data2_TCTAACTGTTTACCAG-1", "d05.data2_ATGAGGGCAATCGCAT-1", "d05.data2_TGAGGAGCAGCTGCCA-1", "d05.data2_AACAGGGTCGCCGATG-1", "d05.data2_GTTACAGGTTAGTTCG-1", "d05.data2_CGCCATTGTCATGCAT-1", "d05.data2_CGGGCATCACAGCCTG-1", "d05.data2_AACTTCTTCAGCTTGA-1", "d05.data2_CATCCACTCCGCAAAT-1", "d05.data2_AGGGCTCTCTTGAGCA-1", "d05.data2_AACACACGTGTTCCTC-1", "d05.data2_CGTGCTTAGCGTGTTT-1", "d05.data2_CTTTCGGAGAATCGTA-1", "d05.data2_AATCGACTCAGACCGC-1", "d05.data2_CACGTGGGTTGCATTG-1", "d05.data2_CGTCAAAGTACGGATG-1", "d05.data2_ATCGATGCAACACACT-1", "d05.data2_GAGTTGTTCCACCTGT-1", "d05.data2_CATACAGCACTCGATA-1", "d05.data2_ACTTTCAAGGTGCAGT-1", "d05.data2_ATTCTTGTCAAGCCCG-1", "d05.data2_ACCTACCGTGTTCAGT-1", "d05.data2_AACCATGAGTTCCGTA-1", "d05.data2_ACCTGAAAGGTCTACT-1", "d05.data2_GTAACCAGTCCTATAG-1", "d05.data2_AGCGTATTCAGCTTCC-1", "d05.data2_TAAGCACCAGAACTCT-1", "d05.data2_ACGTCCTAGCACCGTC-1", "d05.data2_AAAGGGCAGTGCAAAT-1", "d05.data2_GCTCAAACAGACCAAG-1", "d05.data2_ACACGCGGTGATAGTA-1", "d05.data2_GACTTCCCAACCGTAT-1", "d05.data2_ACAGCCGGTCTCCTGT-1", "d05.data2_CAGCAGCAGCTGGCCT-1", "d05.data2_TCGAACACACCTGCTT-1", "d05.data2_GCTACAAGTAGCGTAG-1", "d05.data2_CTCACTGTCCGGTAGC-1", "d05.data2_ATCTTCATCCATGAGT-1", "d05.data2_CTATCTACACATGTTG-1", "d05.data2_CCTCAACGTGGCTTGC-1", "d05.data2_GAGTTTGAGTCCTGTA-1", "d05.data2_AGGCTGCCATGTAACC-1", "d05.data2_GTAGAAATCCGCGATG-1", "d05.data2_TCCCACAAGCACGTCC-1", "d05.data2_ACCCAAACAATGTCAC-1", "d05.data2_GATCATGCAGGAATAT-1", "d05.data2_AAGACAAAGGTTCATC-1", "d05.data2_GCCAACGTCTGAACGT-1", "d05.data2_GACCAATTCCTCATAT-1", "d05.data2_CCACACTTCCAGCACG-1", "d05.data2_TACAACGCACACCGAC-1", "d05.data2_ACCAAACGTTACTCAG-1", "d05.data2_ATAGGCTGTACAATAG-1", "d05.data2_CACTGAACAACTGAAA-1", "d05.data2_GGAGGTACACCTGAAT-1", "d05.data2_CGGGTCATCGAGCACC-1", "d05.data2_GACCTTCTCCAATCTT-1", "d05.data2_ATGGTTGGTACGAAAT-1", "d05.data2_TAGACTGGTATCATGC-1", "d1.data2_AGACACTCAAGAGAGA-1", "d1.data2_CACTAAGAGTAAGCAT-1", "d1.data2_TCGTGCTAGTACGAGC-1", "d1.data2_CGATGGCAGCTGCGAA-1", "d1.data2_TCTCTGGAGTTGTAGA-1", "d1.data2_TGTAACGAGCTTCGTA-1", "d1.data2_TCGTGCTAGAACAGGA-1", "d1.data2_TGAGCATTCGAGCCAC-1", "d1.data2_GTAGAAAGTTGGGTTT-1", "d1.data2_GTAGAAAAGCCTGACC-1", "d1.data2_TTCTGTACATGTAACC-1", "d1.data2_CTCAAGACATTGAAGA-1", "d1.data2_AGGAGGTGTATCGTGT-1", "d1.data2_CTTCCGAGTTGTGCAT-1", "d1.data2_TGCTCGTGTACTAACC-1", "d1.data2_GCTGCAGAGGTCGCCT-1", "d1.data2_GCCTGTTGTTGGTGTT-1", "d1.data2_TCCTGCACAGAAATCA-1", "d1.data2_GCATCGGAGCTGCGAA-1", "d1.data2_CTGAATGCAAGAGTGC-1", "d1.data2_GTGGGAATCCTGATAG-1", "d1.data2_GCTTCACAGGTAAACT-1", "d1.data2_AAGGAATTCTAGAACC-1", "d1.data2_ACATCGAAGTTTGTCG-1", "d1.data2_GACAGCCAGGCATCGA-1", "d1.data2_TAACGACCAGGTAGTG-1", "d1.data2_TTTATGCCACAACATC-1", "d1.data2_CGTGCTTCATAGATGA-1", "d1.data2_CAGTTAGGTGCATTAC-1", "d1.data2_TCCATGCCATTGGCAT-1", "d1.data2_TTCCACGAGCACTCGC-1", "d1.data2_ACAAAGATCCTCAGGG-1", "d1.data2_TAGGAGGCAATAACCC-1", "d1.data2_GATAGAACATTCGGGC-1", "d1.data2_ATCCCTGAGGTCCCTG-1", "d1.data2_GGTAACTGTCTGTGTA-1", "d1.data2_TCGGGTGGTGTGCCTG-1", "d1.data2_TTCTTCCAGGAGTATT-1", "d1.data2_GTATTGGAGTGCGACA-1", "d1.data2_AGGGTGAGTGATACAA-1", "d1.data2_CTCCATGCATCTGGGC-1", "d1.data2_TCCGAAAGTGCGGTAA-1", "d1.data2_AAAGTGAGTGTGTACT-1", "d1.data2_CTCAATTAGTCAGGGT-1", "d1.data2_TCGAAGTGTGGGATTG-1", "d1.data2_GAGGCAATCAAATGAG-1", "d1.data2_AACGAAAGTTTGGAGG-1", "d1.data2_CAAAGAATCGTAATGC-1", "d1.data2_CCTGTTGCACAGCCTG-1", "d1.data2_AGGCTGCCATGGCTAT-1", "d1.data2_GTAGAGGGTCTTTCTA-1", "d1.data2_CCCGGAAGTACCACGC-1", "d1.data2_AAGAACAGTATAGGAT-1", "d1.data2_TGCATCCGTCTGCGCA-1", "d1.data2_TGGAGGAAGTAACGAT-1", "d1.data2_GACGTTAAGTTGGGAC-1", "d1.data2_CTGTGGGTCTACCACC-1", "d1.data2_TTCAATCGTGAATAAC-1", "d1.data2_TCGCAGGAGATAGCTA-1", "d1.data2_TGACCCTCACACTGGC-1", "d1.data2_GTTGCTCCAAATACAG-1", "d1.data2_ACTTTCAAGCTGAAAT-1", "d1.data2_ACATTTCGTGGCTGAA-1", "d1.data2_CAACGATGTAGGTACG-1", "d1.data2_CCTCAGTGTGTTCCAA-1", "d1.data2_TCGATTTTCAACGCTA-1", "d1.data2_GTGTAACCACAGTATC-1", "d1.data2_GTAGCTAGTAGCCAGA-1", "d1.data2_AGGGTGAAGGCTAGCA-1", "d1.data2_AGAGCCCAGGAAGTCC-1", "d1.data2_CAATCGAAGTACCGGA-1", "d1.data2_ACGATGTCAGCCATTA-1", "d1.data2_TATGTTCTCTGGTGGC-1", "d1.data2_AGTAACCGTCGGCACT-1", "d1.data2_AGGAATAAGTCTCGTA-1", "d1.data2_TGGTGATGTGTGCTTA-1", "d1.data2_GAAGCGAGTATGAGAT-1", "d1.data2_CGAGGCTTCAAACGTC-1", "d1.data2_AAAGGGCGTGAGTCAG-1", "d1.data2_TGTTACTCATTGCCGG-1", "d1.data2_AGGTAGGGTAGCTGCC-1", "d1.data2_AGTGCCGGTTCGATTG-1", "d1.data2_GGGTGAATCACTTCTA-1", "d1.data2_CGCATGGAGTCAACAA-1", "d1.data2_AGTTCGACAGAAGCTG-1", "d1.data2_AAGACTCCACGACGCT-1", "d1.data2_GAATCACTCCAAGAGG-1", "d1.data2_AGGGTGAGTCTTCGAA-1", "d1.data2_TCTGTCGAGTCATGGG-1", "d1.data2_CGAGGAAGTCACCGAC-1", "d1.data2_TGAGGAGGTCACCACG-1", "d1.data2_CCTCAACCAATAGGAT-1", "d1.data2_CCCAACTGTATCGTTG-1", "d1.data2_GGAACCCGTGTTGATC-1", "d1.data2_ACTGTGAGTGAGATAT-1", "d1.data2_AGTAACCAGACGACTG-1", "d1.data2_TACCTCGTCTTGCAGA-1", "d1.data2_TCCATCGGTCTTGAAC-1", "d1.data2_GGTAGAGGTAGAGTTA-1", "d1.data2_CTGATCCTCTGGGATT-1", "d1.data2_CACAGGCGTCTGTTAG-1", "d1.data2_CCGCAAGAGCTTTCTT-1", "d1.data2_GTATTGGGTCCACTCT-1", "d1.data2_CGTCAAAAGAGCAGTC-1", "d1.data2_GTGCACGAGGTTTACC-1", "d1.data2_GGTGAAGCACGCGGTT-1", "d1.data2_CTTGAGATCCTCAGGG-1", "d1.data2_CTGTGAACAAGTTCCA-1", "d1.data2_AAACCCACAAACTGCT-1", "d1.data2_TCGTGCTAGCTCCGAC-1", "d1.data2_TCATTACTCGGACCAC-1", "d1.data2_CATGCCTAGACTACCT-1", "d1.data2_CTGCTCATCGGTGCAC-1", "d1.data2_TGGAGGAAGATGACCG-1", "d1.data2_GCGTGCAAGCGATTCT-1", "d1.data2_CCATAAGCAAGTTGGG-1", "d1.data2_AGTCTCCAGAATAGTC-1", "d1.data2_AATGGAAGTACAGAAT-1", "d1.data2_ATACCGAGTGAGTAGC-1", "d1.data2_GCGATCGGTGCCCACA-1", "d1.data2_AGTTCGAGTAGTGATA-1", "d1.data2_CGAATTGAGCCTCTGG-1", "d1.data2_GCTGAATAGGAGATAG-1", "d1.data2_AAGGTAACAATCTCTT-1", "d1.data2_ATTTCTGCAGTCAGCC-1", "d1.data2_TGCTGAACACTTTAGG-1", "d1.data2_TCGTCCAAGGTGCCAA-1", "d1.data2_GAAATGATCTAACACG-1", "d1.data2_CCCAACTAGAGTGACC-1", "d1.data2_TTACGTTTCGACACCG-1", "d1.data2_TTGGGCGAGTGAGTGC-1", "d1.data2_TCATATCTCCCAAGTA-1", "d1.data2_AGTGATCAGCTCCCTT-1", "d1.data2_GTTCATTAGGCGAAGG-1", "d1.data2_TCTCCGAGTTCTAAGC-1", "d1.data2_GAATAGACATTCTCCG-1", "d1.data2_AGAGCAGCAATAACGA-1", "d1.data2_ACATGCACACATATCG-1", "d1.data2_CGAGTGCCAACTGCTA-1", "d1.data2_TTTACCAGTTAGGAGC-1", "d1.data2_GAAACCTCACAATGCT-1", "d1.data2_TCTGTCGCACTGCTTC-1", "d1.data2_TAGGTTGGTTCTTAGG-1", "d1.data2_TAACGACAGGAAAGAC-1", "d1.data2_CTTCCGAGTTCCGGTG-1", "d1.data2_CAGATACAGGAAAGTG-1", "d1.data2_CTACTATGTTCAGGTT-1", "d1.data2_GCAGCCAAGAATCGAT-1", "d1.data2_TCATTGTCACTGAGGA-1", "d1.data2_TGTGCGGTCTGAGCAT-1", "d1.data2_TCAGTCCCATGATGCT-1", "d1.data2_GCGGAAAAGTCATGGG-1", "d1.data2_GTGATGTCAGTTAGGG-1", "d1.data2_TTTACTGCAGTTCACA-1", "d1.data2_AGGGTGACACTAGAGG-1", "d1.data2_CAGATCACAGAGAATT-1", "d1.data2_TCGGATAGTGACCGTC-1", "d1.data2_GGGTCTGGTCCGAAAG-1", "d1.data2_CCCTTAGGTTCGCGTG-1", "d1.data2_ACATCGATCACTGGGC-1", "d1.data2_GCCAACGAGCCTATTG-1", "d1.data2_TCACGGGAGTAGTGCG-1", "d1.data2_ATCAGGTAGCCGCTTG-1", "d1.data2_TAAGCGTTCGTAGCTA-1", "d1.data2_TTTACGTTCGGTAACT-1", "d1.data2_TTCTGTAAGTCTTCGA-1", "d1.data2_CATTGTTGTTTCGATG-1", "d1.data2_GATAGAACAATCAGCT-1", "d1.data2_AGACACTAGGAGCTGT-1", "d1.data2_GATGACTTCTAAGGAA-1", "d1.data2_CGATGCGTCACCATGA-1", "d1.data2_TAGGTTGCAACCGGAA-1", "d1.data2_TCGGGACTCGATACGT-1", "d1.data2_TCATTGTAGTATTGCC-1", "d1.data2_CAAGCTATCGAGAAAT-1", "d1.data2_GACGCTGCACACGGTC-1", "d1.data2_TGCGGCAAGAGGTTAT-1", "d1.data2_CTTGAGAGTTGACTGT-1", "d1.data2_CCGATCTTCCGGCAGT-1", "d1.data2_TCGATTTGTACAGCGA-1", "d1.data2_TTTATGCCAGCTCGGT-1", "d1.data2_AATGGAAAGGAAAGGT-1", "d1.data2_TACGTCCAGGTCATAA-1", "d1.data2_TCCGTGTGTCGTCAGC-1", "d1.data2_GCAGCTGCATGTGACT-1", "d1.data2_CAGCAGCTCTGGACCG-1", "d1.data2_TGGATGTGTTGCGGCT-1", "d1.data2_AACGAAATCGTGGACC-1", "d1.data2_AAAGGTAAGGTTAGTA-1", "d1.data2_CTTGAGATCCAGCCTT-1", "d1.data2_GTGGTTATCTGCGGAC-1", "d1.data2_CGTTAGAGTAGCGTAG-1", "d1.data2_CACGGGTTCTCCTGAC-1", "d1.data2_TGTAGACAGGATGTTA-1", "d1.data2_TCTCACGTCTCACTCG-1", "d1.data2_AGAACCTGTGATGAAT-1", "d1.data2_GCATCGGTCCGCGATG-1", "d1.data2_AGACCCGAGAAGGCTC-1", "d1.data2_GAAATGACAGCACAAG-1", "d1.data2_CCAATTTCAGTGGGTA-1", "d1.data2_GTGCAGCAGGTGGTTG-1", "d1.data2_GGTCTGGTCGAGCCAC-1", "d1.data2_TGTCAGACAGGTTCGC-1", "d1.data2_ACAAAGAAGGCTCTAT-1", "d1.data2_AGGCATTCATCAGTCA-1", "d1.data2_GGGAAGTGTCAGACTT-1", "d1.data2_GATGTTGCAATCTCTT-1", "d1.data2_AAGCATCTCAAGCCTA-1", "d1.data2_CGGACACCATGTGCCG-1", "d1.data2_GTTACAGAGTTCGGTT-1", "d1.data2_CAACGGCTCTTGATTC-1", "d1.data2_TGGGATTAGTCATCCA-1", "d1.data2_GTCGTTCGTCACTTAG-1", "d1.data2_CATTGAGGTTATCTGG-1", "d1.data2_AGTGACTCATGGGAAC-1", "d1.data2_ACTTATCTCAAGGACG-1", "d1.data2_AGACAGGAGGCAGGGA-1", "d1.data2_TCATGAGCAATTGCAC-1", "d1.data2_AAGTACCGTTTGCAGT-1", "d1.data2_GGGATCCAGACATCAA-1", "d1.data2_TTTGTTGAGCACTGGA-1", "d1.data2_CTAGACATCGTCGACG-1", "d1.data2_GACGCTGTCCGTACGG-1", "d1.data2_CATACTTCAAGTTCGT-1", "d1.data2_ACCAAACAGTTTCGGT-1", "d1.data2_AGCCAGCCATGACACT-1", "d1.data2_TGAGGAGGTTCGTTCC-1", "d1.data2_TGGAGGAGTCCTGGGT-1", "d1.data2_CAGATTGTCTGTTCAT-1", "d1.data2_CCAAGCGTCATTGTGG-1", "d1.data2_TATTCCATCCCAATAG-1", "d1.data2_TACGGGCAGCGGATCA-1", "d1.data2_TGCCGAGGTGGAACAC-1", "d1.data2_TTGAGTGCACATTACG-1", "d1.data2_ACTACGAAGGATACCG-1", "d1.data2_GTTCATTGTATCGCTA-1", "d1.data2_TTGAGTGCAGACCATT-1", "d1.data2_AGGACTTGTCATACCA-1", "d1.data2_TAAGCGTGTTCACGAT-1", "d1.data2_TACTTGTGTCTACAGT-1", "d1.data2_GGTCACGTCTGTGCAA-1", "d1.data2_GCTCAAATCACCTTGC-1", "d1.data2_TTCTTCCTCGGTCTGG-1", "d1.data2_TCAATCTAGGAAGTCC-1", "d1.data2_CGTGAATGTCCACACG-1", "d1.data2_GAATAGATCCAACACA-1", "d1.data2_TCATCATAGGCATCTT-1", "d1.data2_CGTGCTTCAATGTCAC-1", "d1.data2_GTCTTTACACTTCCTG-1", "d1.data2_AGGTCTATCGAACCTA-1", "d1.data2_GACGTTAGTGGTTTAC-1", "d1.data2_AATCGTGGTTAAGTCC-1", "d1.data2_AGGTGTTGTTTACTTC-1", "d1.data2_ACTGCAACAGCCGTCA-1", "d1.data2_CCTAAGAGTATGGAAT-1", "d1.data2_CGCCATTCAGCGACAA-1", "d1.data2_GAATCGTCATACCAGT-1", "d1.data2_GTGAGGAAGCCACAAG-1", "d1.data2_GGTGGCTCATGGTACT-1", "d1.data2_AGTGTTGCAGCGCGTT-1", "d1.data2_TTTCGATTCATACAGC-1", "d1.data2_GTGTTAGCATTCTTCA-1", "d1.data2_TACAACGAGTAGGTTA-1", "d1.data2_GATTCTTTCGGTGCAC-1", "d1.data2_ATGCGATCAAATGGAT-1", "d1.data2_TATCTTGAGGAACTAT-1", "d1.data2_TCAAGACGTGCATACT-1", "d1.data2_CGTTAGATCGCCTTTG-1", "d1.data2_CCCAACTAGTAAGAGG-1", "d1.data2_CTGCGAGTCATGGGAG-1", "d1.data2_CTTAGGAAGGAGTACC-1", "d1.data2_ATTATCCTCGCAAGAG-1", "d1.data2_GAAATGAAGACCGCCT-1", "d1.data2_CACTTCGAGCGATTCT-1", "d1.data2_CCCATTGAGGCTTAGG-1", "d1.data2_TAACCAGTCCCTTCCC-1", "d1.data2_ATCATTCAGAACGTGC-1", "d1.data2_ACTTCCGCATCCAACA-1", "d1.data2_CTGTATTGTCAAATCC-1", "d1.data2_TCTACATAGATCCCAT-1", "d1.data2_ATTACCTAGATCGACG-1", "d1.data2_CGTCAAAAGTTCATGC-1", "d1.data2_AGGTCATTCGCGGTAC-1", "d1.data2_CCGTGAGGTCGAAGCA-1", "d1.data2_CTCAACCAGCTAGATA-1", "d1.data2_GGAGATGAGTCAGAGC-1", "d1.data2_GCCAGCAGTTACGGAG-1", "d1.data2_TGAATGCCACCTTCGT-1", "d1.data2_CAGCAATAGCAAGCCA-1", "d1.data2_ACCTACCGTACTCGCG-1", "d1.data2_AGGGTTTTCATCGGGC-1", "d1.data2_TTCTCTCGTTAAGGAT-1", "d1.data2_GTATTGGCAATTGTGC-1", "d1.data2_AGAACAATCGACTCCT-1", "d1.data2_AGGAATAGTGTCCATA-1", "d1.data2_TGTTCATTCCTCATAT-1", "d1.data2_TCTTGCGGTCCCGCAA-1", "d1.data2_TTTGACTTCCTGTAGA-1", "d1.data2_GTCATCCGTTTGCCGG-1", "d1.data2_ACTTCGCTCGGTGTTA-1", "d1.data2_TGTAACGTCATGACAC-1", "d1.data2_ATCCGTCCACGTCGTG-1", "d1.data2_CGGGTCAGTCGAGCTC-1", "d1.data2_GCCAGTGAGGACGGAG-1", "d1.data2_GATAGCTAGTCCTACA-1", "d1.data2_AGATAGACACCTTCCA-1", "d1.data2_TGCAGGCCATGTTTGG-1", "d1.data2_AGCATCATCGTCAGAT-1", "d1.data2_GCACTAATCTACGCGG-1", "d1.data2_AACCCAAAGGGCAAGG-1", "d1.data2_AGGGTGAAGTTAACAG-1", "d1.data2_CTCTGGTAGGATTTAG-1", "d1.data2_GTGGAAGCACCGTGAC-1", "d1.data2_GTCACGGAGTCAAGCG-1", "d1.data2_TAAGCGTAGTCATAGA-1", "d1.data2_TAGGGTTAGAGTGGCT-1", "d1.data2_TCCACGTTCAGCCTCT-1", "d1.data2_CTATCTACAGCTAACT-1", "d1.data2_GGTGATTCATGAGAAT-1", "d1.data2_GAGATGGCATGCCATA-1", "d1.data2_TTTCACATCCTCGCAT-1", "d1.data2_CCGATGGTCGGCTTGG-1", "d1.data2_ATTGGGTGTGGTTCTA-1", "d1.data2_TGGGAAGTCTATGTGG-1", "d1.data2_TCAAGCAAGGAGGTTC-1", "d1.data2_TGGAGAGAGATTAGAC-1", "d1.data2_TCATTGTGTCCTACAA-1", "d1.data2_CAACCTCTCTATACGG-1", "d1.data2_CATGCGGCAGCTATTG-1", "d1.data2_AATCACGGTGCGACAA-1", "d1.data2_CCGGTGAAGAATAGTC-1", "d1.data2_GGTGTCGTCGGTTCAA-1", "d1.data2_CACCGTTTCCGCCTAT-1", "d1.data2_CAAAGAAAGACTTCAC-1", "d1.data2_TTTCGATTCGGTAACT-1", "d1.data2_AGATAGAGTGCGAACA-1", "d1.data2_ATGAAAGTCTCCAAGA-1", "d1.data2_GGCTTTCCAGAAGCGT-1", "d1.data2_GAAGGGTAGCGCTGCT-1", "d1.data2_TCCCATGAGACATGCG-1", "d1.data2_CCCTGATAGTTTGAGA-1", "d1.data2_ATCGTAGGTCACCGCA-1", "d1.data2_AGGCTGCCAACGATTC-1", "d1.data2_ATTTCACAGTAAACGT-1", "d1.data2_TCCATCGGTCATCCCT-1", "d1.data2_TCTATCAAGTCATCGT-1", "d1.data2_GCCAGGTAGTCATTGC-1", "d1.data2_GACCCTTTCGCGCCAA-1", "d1.data2_ACCTACCAGGTCACAG-1", "d1.data2_CGAGGCTCAAATTGCC-1", "d1.data2_GTTGAACAGTATGACA-1", "d1.data2_TTCATTGTCGCTGTCT-1", "d1.data2_CTACTATAGTCTGCGC-1", "d1.data2_GTCCCATTCCGACATA-1", "d1.data2_GTTCGCTAGCAAATCA-1", "d1.data2_ACGTACAAGCGGACAT-1", "d1.data2_TAAGCCAAGTGTACAA-1", "d1.data2_TGAGGTTCATCTCGTC-1", "d1.data2_GTGGAGAGTCGGCTAC-1", "d1.data2_GATGAGGCACCGCTAG-1", "d1.data2_TCTATCAGTGTCATGT-1", "d1.data2_TGCGATACAACACGAG-1", "d1.data2_GTTCCGTAGACTTAAG-1", "d1.data2_GCACATAGTCATAACC-1", "d1.data2_GCTACAACACATATGC-1", "d1.data2_TAACGACCATCTTTCA-1", "d1.data2_ACCTGAACATCATCTT-1", "d1.data2_CTACCTGCACGTACAT-1", "d1.data2_ACTCTCGCAGTCTCTC-1", "d1.data2_CGAGAAGAGTAGTCAA-1", "d1.data2_CACATGATCTGTTCAT-1", "d1.data2_AGTGACTCATAGAATG-1", "d1.data2_AATGCCAAGAAGCCAC-1", "d1.data2_AGTACCACACTATCGA-1", "d1.data2_ACTATGGGTTGCCATA-1", "d1.data2_TGTGCGGGTGTTGACT-1", "d1.data2_TGACCCTAGGCAGGGA-1", "d1.data2_ATCGGATAGGTCTGGA-1", "d1.data2_AGTCAACAGATCCCGC-1", "d1.data2_CGCCATTCAGCAGTAG-1", "d1.data2_GATCAGTAGGTTCATC-1", "d1.data2_TTACTGTCAGGCAATG-1", "d1.data2_TCACGCTAGTAGACCG-1", "d1.data2_GAGCTGCGTTGCGTAT-1", "d1.data2_GGGACTCTCGTTTACT-1", "d1.data2_TGTTACTAGCTCTGTA-1", "d1.data2_GTCCACTGTCATCCCT-1", "d1.data2_CTGATCCGTTACCTGA-1", "d1.data2_AGGGTCCTCAGTCAGT-1", "d1.data2_CTCAATTGTGACAACG-1", "d1.data2_GTGGTTAGTCCAAAGG-1", "d1.data2_AGTCTCCGTCTTGCTC-1", "d1.data2_AGTAGTCCACTTGACA-1", "d1.data2_GTCAAACAGTATGAGT-1", "d1.data2_TAGGAGGGTCAACATC-1", "d1.data2_CTGCCATTCGCAATGT-1", "d1.data2_GTTTACTAGTCACTAC-1", "d1.data2_AGGCTGCAGGTGATCG-1", "d1.data2_TATTGCTTCACCTCTG-1", "d1.data2_TGACAGTGTGACACGA-1", "d1.data2_AGGATCTAGCCTTGAT-1", "d1.data2_CATAAGCGTCAGACTT-1", "d1.data2_TGGGATTAGTGCTAGG-1", "d1.data2_CCACACTCAGGACAGT-1", "d1.data2_GTGCTTCTCATCGTAG-1", "d1.data2_CCACTTGGTGTCTCCT-1", "d1.data2_ACTTATCCATACTTTC-1", "d1.data2_TCGACCTTCTCCAATT-1", "d1.data2_GCCCAGAGTAAGCGGT-1", "d1.data2_AATGACCAGGAGAGTA-1", "d1.data2_TGTTACTAGAGCTGAC-1", "d1.data2_ATCAGGTCAACGTATC-1", "d1.data2_CCTCACATCATCGACA-1", "d1.data2_ATCGGCGGTAACGCGA-1", "d1.data2_CACCGTTTCGTTCGCT-1", "d1.data2_TCCACGTTCCTTATAC-1", "d1.data2_TCGGATAGTTGCTTGA-1", "d1.data2_GAGTGAGGTTCCACGG-1", "d1.data2_GGGCCATGTTCCGCAG-1", "d1.data2_ATCAGGTTCCATAAGC-1", "d1.data2_CACGGGTCAGTCTGGC-1", "d1.data2_CAGTTCCAGATCACTC-1", "d1.data2_TGATGGTCAGTAGTGG-1", "d1.data2_CAACGATCACGGTGTC-1", "d1.data2_AGCGTATGTACGAAAT-1", "d1.data2_GACCCAGGTTTCCCAC-1", "d1.data2_CAACGATAGACAGCTG-1", "d1.data2_GTCTGTCAGGCACTAG-1", "d1.data2_GTTGTGATCTAGCCTC-1", "d1.data2_CAATTTCCAGCATCTA-1", "d1.data2_ACCACAAAGACCATTC-1", "d1.data2_CTCGAGGTCCCATTTA-1", "d1.data2_AGTAGTCCACCGGCTA-1", "d1.data2_ACCAAACAGCGTCTGC-1", "d1.data2_TGGGATTCACCCTAGG-1", "d1.data2_AGTCACAAGAGTCGAC-1", "d1.data2_ACCCAAAGTACCTAGT-1", "d1.data2_CATCGTCAGTCGGCCT-1", "d1.data2_GCACATAGTGGCTTGC-1", "d1.data2_AACGGGATCGCCACTT-1", "d1.data2_TGCATGAGTCATTCCC-1", "d1.data2_CATAAGCTCATGCATG-1", "d1.data2_AGGTTGTCAAATACGA-1", "d1.data2_CCTTCAGGTGCCTGAC-1", "d1.data2_TATGTTCCATGGGCAA-1", "d1.data2_CAATACGTCCCGGTAG-1", "d1.data2_GTCTTTAAGCGTGAGT-1", "d1.data2_TGTTGGATCGTGCACG-1", "d1.data2_CTGTACCCACTTCAAG-1", "d1.data2_CTCTCGATCTCCGCAT-1", "d1.data2_AGGATCTGTTACGATC-1", "d1.data2_CTACGGGCAAATCAGA-1", "d1.data2_TCAGCAATCGACACTA-1", "d1.data2_TCAAGACTCTGTAACG-1", "d1.data2_GCCGTGATCGGTCTAA-1", "d1.data2_CTACCTGTCCACGGAC-1", "d1.data2_ATAGACCCAGGACAGT-1", "d1.data2_CAGGGCTGTAAGAACT-1", "d1.data2_CCTCCAAAGCACGTCC-1", "d1.data2_GTCTAGAAGGTTAAAC-1", "d1.data2_ATTCCCGCAATTCTCT-1", "d1.data2_CTCATGCTCGAGCCTG-1", "d1.data2_TCATTCAAGCTCATAC-1", "d1.data2_CATAAGCCAGGAACCA-1", "d1.data2_TGGGCTGTCTAGAACC-1", "d1.data2_AAGTGAATCTCTGAGA-1", "d1.data2_AGCTCAATCGCAGATT-1", "d1.data2_TAGATCGCAATTGCAC-1", "d1.data2_GATGAGGCAGCGTGCT-1", "d1.data2_TCAATCTGTCTTCTAT-1", "d1.data2_TCAGTGACATTCAGCA-1", "d1.data2_TCCGGGATCCATACTT-1", "d1.data2_ACCCAAAGTGATCGTT-1", "d1.data2_CCACGTTTCATGAGAA-1", "d1.data2_ATCCATTTCCCAGGAC-1", "d1.data2_GCGGATCAGGGAGTTC-1", "d1.data2_GTAGGAGTCTCTGCCA-1", "d1.data2_ATATCCTAGCACCAGA-1", "d1.data2_TCTGGCTGTCTACAGT-1", "d1.data2_GTGATGTCAAACTAGA-1", "d1.data2_CATGCAACAACACTAC-1", "d1.data2_CTCAATTCAAGAATAC-1", "d1.data2_AGTACCATCAAGCCCG-1", "d1.data2_GGTGAAGGTCGAAACG-1", "d1.data2_GACAGCCGTTACCTGA-1", "d1.data2_CAGCAGCAGTGTTGAA-1", "d1.data2_TGTTGAGAGCTGACCC-1", "d1.data2_CGGAGAACACTTGAAC-1", "d1.data2_GGGCTACAGTGATTCC-1", "d1.data2_TGCGACGCACTGGCCA-1", "d1.data2_TCAGCCTTCTACTGAG-1", "d1.data2_CATGCCTTCTGTAAGC-1", "d1.data2_CAAGACTCAACGATTC-1", "d1.data2_GGGACAAGTATCTTCT-1", "d1.data2_TCTGGCTGTTCACGAT-1", "d1.data2_CGCATGGCAGCTAACT-1", "d1.data2_CCCTCAAGTGCCTTCT-1", "d1.data2_TTGCTGCCACTCTCGT-1", "d1.data2_ACCCAAACAACCAACT-1", "d1.data2_TACCCACTCACATCAG-1", "d1.data2_CCTGCATAGGCTTAAA-1", "d1.data2_AGTTAGCCATAGGAGC-1", "d1.data2_TGTTCCGAGGCGCTCT-1", "d1.data2_CCTTCAGTCCATATGG-1", "d1.data2_CACTAAGTCGTAGAGG-1", "d1.data2_ATGAGTCAGCGACTTT-1", "d1.data2_CCCTCAATCCAACTAG-1", "d1.data2_GGAGAACAGTAACGTA-1", "d1.data2_ATTCACTTCCTTCTGG-1", "d1.data2_GTACAACTCTCTTCAA-1", "d1.data2_CACTGAAAGTATGTAG-1", "d1.data2_ATCCTATGTGATTCTG-1", "d1.data2_GACTTCCTCGTGAGAG-1", "d1.data2_GCGTGCACACAGTGTT-1", "d1.data2_AGACTCATCTGCCTGT-1", "d1.data2_CATGCGGTCGGTTGTA-1", "d1.data2_CATAAGCAGTTTCGAC-1", "d1.data2_TATCGCCCAATGACCT-1", "d1.data2_CTAGACATCTCCAAGA-1", "d1.data2_GTCCACTTCGGTCGGT-1", "d1.data2_CATCCGTAGGTTAAAC-1", "d1.data2_AATGGCTAGCAAATCA-1", "d1.data2_ACTGTCCAGGTTTACC-1", "d1.data2_ACAAGCTCAAAGGCGT-1", "d1.data2_CATGAGTCAACCTATG-1", "d1.data2_TACCCACTCGTGCGAC-1", "d1.data2_GATCACATCACCGGGT-1", "d1.data2_CACAGGCAGCCAGTAG-1", "d1.data2_CATAAGCTCATCACTT-1", "d1.data2_TCGTAGATCCATTTCA-1", "d1.data2_CCTCCTCCACGAAAGC-1", "d1.data2_CTCCCAAGTAAGTCAA-1", "d1.data2_TCACACCCAGATACCT-1", "d1.data2_CAACAGTAGTGCACTT-1", "d1.data2_GCACGGTTCAGGCGAA-1", "d1.data2_TCTCACGTCCTACAAG-1", "d1.data2_CCTCAACCACTTTATC-1", "d1.data2_CCTGCATGTGCCTTCT-1", "d1.data2_AGCCACGTCCTACAAG-1", "d1.data2_AACCATGGTGGCAACA-1", "d1.data2_ATTCCCGTCCATGCAA-1", "d1.data2_GAACACTCACAACATC-1", "d1.data2_AAGACTCCACGATAGG-1", "d1.data2_TTCGCTGGTTGTTGCA-1", "d1.data2_CCTTCAGGTGCCCTTT-1", "d1.data2_AACTTCTGTACGTGTT-1", "d1.data2_CTTCTAATCTCTTGCG-1", "d1.data2_TCCGGGATCACGATCA-1", "d1.data2_GTAACACAGAGTCGAC-1", "d1.data2_AACCTTTGTCCGCAGT-1", "d1.data2_GTGGTTAAGAATCCCT-1", "d1.data2_GTTACCCCAAACTAAG-1", "d1.data2_TTTCCTCTCTCCCAAC-1", "d1.data2_CCTCACAGTGGCTACC-1", "d15.data_AGACCATGTAAGATAC-1", "d15.data_TCAATTCGTTAAGACA-1", "d15.data_GTGAGGATCGCCTAGG-1", "d15.data_CTCCAACTCATCCTAT-1", "d15.data_TTCACGCGTCCCGGTA-1", "d15.data_TCACACCGTGGCGCTT-1", "d15.data_GGTAGAGTCACCTCGT-1", "d15.data_CGAGTGCGTCCAGCGT-1", "d15.data_CGAAGTTGTTCGGCTG-1", "d15.data_AAGCGAGTCTGCGTCT-1", "d15.data_AATGGCTTCTGACGCG-1", "d15.data_ATCGGCGCAACTGTGT-1", "d15.data_TCGTGCTTCCATGATG-1", "d15.data_CCGTGAGTCGCGTAGC-1", "d15.data_ACACTGATCCTGGCTT-1", "d15.data_TCGTGCTCAACGTTAC-1", "d15.data_TTTGACTCAGTCGGTC-1", "d15.data_TTCATGTAGAGTTGCG-1", "d15.data_ATGGATCAGCTAGAAT-1", "d15.data_AAGTGAAAGTTGTCGT-1", "d15.data_GTGACGCAGAGCATCG-1", "d15.data_TCACGGGGTAGGGAGG-1", "d15.data_TCTAACTTCTCTATGT-1", "d15.data_AGAGCAGGTTCGAAGG-1", "d15.data_GTCAAGTAGATGGTCG-1", "d15.data_TGCTTCGAGGGAGTTC-1", "d15.data_AGCGCTGCAGAGGTTG-1", "d15.data_TCGTGGGCAGTCGCTG-1", "d15.data_AGAGCAGTCGCATAGT-1", "d15.data_AAATGGAAGCGTCAAG-1", "d15.data_TGCTTGCTCTGGGTCG-1", "d15.data_AGAGAATAGCCTCCAG-1", "d15.data_TAGGTACTCAGTGGGA-1", "d15.data_CCGATCTCAGAAGCGT-1", "d15.data_TACTTCAAGAGTCGAC-1", "d15.data_GAGTGAGAGGTAACTA-1", "d15.data_GTAGGAGTCAGTGTTG-1", "d15.data_CTGTCGTGTCGACTTA-1", "d15.data_TCCGTGTGTGGGCTCT-1", "d15.data_TGTGATGTCGTGAGAG-1", "d15.data_TAGGTTGAGATCCCAT-1", "d15.data_TCGACCTCAGGACATG-1", "d15.data_ACTGATGAGGTTGGTG-1", "d15.data_ATTCGTTGTAGACTGG-1", "d15.data_GTCGTTCAGGCCTAGA-1", "d15.data_AGTCACAAGTGTAGAT-1", "d15.data_TATGTTCGTCTCAAGT-1", "d15.data_CCGTAGGAGGCAGTCA-1", "d15.data_TCGGGTGAGTCATCCA-1", "d15.data_TCGTGCTTCCATTTAC-1", "d15.data_CATGCAAGTAGAGCTG-1", "d15.data_GATCATGGTTGAGAGC-1", "d15.data_CCTCTCCTCGGTCGAC-1", "d15.data_ATTATCCAGAGTTGCG-1", "d15.data_TGACGCGTCGTAGTCA-1", "d15.data_CGAAGTTAGAGGTATT-1", "d15.data_AATGACCGTCGCTTGG-1", "d15.data_TCACACCCATGACGGA-1", "d15.data_TCAGCAAGTGAGTAGC-1", "d15.data_GAGCTGCGTCGCGTTG-1", "d15.data_AGAAGCGTCGTTCATT-1", "d15.data_TGGGCTGAGCGTTACT-1", "d15.data_TTTGACTCACATCCCT-1", "d15.data_ACTCTCGGTGAGCTCC-1", "d15.data_TATCTTGGTCCGGTGT-1", "d15.data_TGTGGCGAGTAACAGT-1", "d15.data_GCGATCGTCGCATAGT-1", "d15.data_TGGCGTGGTCGGTACC-1", "d15.data_CTGTGGGTCTCCAAGA-1", "d15.data_GGGTTATCAAGTGGGT-1", "d15.data_CCCTGATTCTAGATCG-1", "d15.data_TACGGGCTCAGGGATG-1", "d15.data_TCAAGCAGTCGGAAAC-1", "d15.data_GGGAGATTCAACCTTT-1", "d15.data_AGTGTTGGTTCTGAGT-1", "d15.data_GAGTCATGTAGCTAAA-1", "d15.data_TTGAGTGGTCCTTAAG-1", "d15.data_GGATCTAGTGAATGTA-1", "d15.data_GACCTTCGTTCCGCAG-1", "d15.data_CGTGAATAGTTGGAAT-1", "d15.data_AGAACAAAGGTAGCAC-1", "d15.data_TATTTCGTCAGCTGAT-1", "d15.data_GATGTTGTCTGGGAGA-1", "d15.data_TCTCAGCAGAAAGCGA-1", "d15.data_ATCCGTCGTTTGATCG-1", "d15.data_GTCAAGTAGGCGAAGG-1", "d15.data_GAAGGGTGTCGTGTTA-1", "d15.data_AGGCTGCGTAGAGCTG-1", "d15.data_AGAGAATGTGATAGAT-1", "d15.data_TGTTCATGTCACGACC-1", "d15.data_GTAACACTCGTGGCGT-1", "d15.data_CTTCCTTAGTCTCCTC-1", "d15.data_TACCGGGAGCACAAAT-1", "d15.data_ATCGTGAAGTCATGGG-1", "d15.data_GTCATGATCCTCACGT-1", "d15.data_TGTTTGTAGACGGAAA-1", "d15.data_CTGGACGAGCTTCATG-1", "d15.data_TCCATGCGTCGAGATG-1", "d15.data_TTCAGGAGTGCACGCT-1", "d15.data_TCAGTGAAGGCAGTCA-1", "d15.data_GTCCTCACACGCCAGT-1", "d15.data_AGACTCAAGTTCATCG-1", "d15.data_GACACGCCACTCTAGA-1", "d15.data_TGGTGATAGTCGTCTA-1", "d15.data_GTAGTACAGTGCACAG-1", "d15.data_ATTGGGTAGGTTAGTA-1", "d15.data_AGCGATTAGTGTTCAC-1", "d15.data_AGCCAGCTCGTGTGGC-1", "d15.data_CGTGTCTGTAGGAAAG-1", "d15.data_GGTGTTAGTGTTAAAG-1", "d15.data_GTGCTTCCAGTCGAGA-1", "d15.data_CAGCCAGAGAGCGACT-1", "d15.data_CCATCACCAAGAGCTG-1", "d15.data_TCCACGTCATGGGAAC-1", "d15.data_TCATCCGAGAGCTGAC-1", "d15.data_GGGCGTTAGTGCAAAT-1", "d15.data_GGCGTCACAGGAACCA-1", "d15.data_ACGATGTAGCACACCC-1", "d15.data_TCGCTTGCAGCAGTGA-1", "d15.data_GACGCTGTCCTAGAGT-1", "d15.data_GACTGATAGTCAGCGA-1", "d15.data_CCATCACCATAGGAGC-1", "d15.data_GTCGTTCCATCATTTC-1", "d15.data_GCTTCACAGACGACGT-1", "d15.data_ATGAGTCAGTCTCTGA-1", "d15.data_CTAAGTGTCAGGAAAT-1", "d15.data_GGAGGTACACCAGTAT-1", "d15.data_GGCTTGGAGGCGTTAG-1", "d15.data_CATTCATCAGCGACCT-1", "d15.data_GCCAGTGTCGTTCGCT-1", "d15.data_TCTTTGAGTACAGGTG-1", "d15.data_GAGGCAAAGCCATTTG-1", "d15.data_CTACTATGTTGCGTAT-1", "d15.data_GTTACCCAGATACATG-1", "d15.data_TTTACTGAGCTTAAGA-1", "d15.data_GTCTCACGTAGGAAAG-1", "d15.data_CCTTCAGCAACGTATC-1", "d15.data_GCGTGCAGTCCTCCTA-1", "d15.data_AACGGGAGTGTATTCG-1", "d15.data_TCGACCTAGACGTCCC-1", "d15.data_GCTGCAGGTTGTCTAG-1", "d15.data_TCGGGCACACAATGTC-1", "d15.data_GATCCCTAGGCAGTCA-1", "d15.data_GTAGAAAAGTTAGTAG-1", "d15.data_AAGCGAGTCGTTCTAT-1", "d15.data_TGGGCGTCATCTTCGC-1", "d15.data_GTTCCGTGTTTATGCG-1", "d15.data_TAGGTTGGTTATGGTC-1", "d15.data_TTAGGCATCGCCTTGT-1", "d15.data_AGACTCAGTGAAAGTT-1", "d15.data_TTGTGGAGTACCAGAG-1", "d15.data_GACATCAAGCGCCGTT-1", "d15.data_GACGTTAGTCTCGGGT-1", "d15.data_GGAGAACAGGTGCCAA-1", "d15.data_ACTTCCGTCGAATCCA-1", "d15.data_TCATACTGTCTTCATT-1", "d15.data_TGTTGGACAGAGAAAG-1", "d15.data_ACGTAACGTATGGTAA-1", "d15.data_GAAGGACCAGCCCAGT-1", "d15.data_CGATCGGCATGACCCG-1", "d15.data_CCGTAGGAGGAACGAA-1", "d15.data_GATCACACAAGCAGGT-1", "d15.data_GATAGAATCGCCGAGT-1", "d15.data_ACAGAAATCTCCGTGT-1", "d15.data_ACTTATCGTGTCGATT-1", "d15.data_CTGATCCTCGAGAGAC-1", "d15.data_TAAGCGTTCGTCGGGT-1", "d15.data_GTGGCGTAGCCTTCTC-1", "d15.data_TATCGCCGTGTGCCTG-1", "d15.data_TATTCCATCGAACGCC-1", "d15.data_AGGGTCCAGGTCGTGA-1", "d15.data_GTCTCACCACAACGTT-1", "d15.data_TGAGCGCGTACCGGAA-1", "d15.data_AGAGCAGTCGGAATTC-1", "d15.data_CAATTTCTCATGGTAC-1", "d15.data_GAAGAATGTGACTCTA-1", "d15.data_TCATGGAGTGAACCGA-1", "d15.data_ATCATTCAGCTCGCAC-1", "d15.data_CGGAATTTCCTCAGGG-1", "d15.data_GAAGAATGTCTCACAA-1", "d15.data_GGTTAACCACTGCACG-1", "d15.data_TATCCTATCATTCTTG-1", "d15.data_ACTGTCCGTGATGAAT-1", "d15.data_TAAGCCAGTTTGATCG-1", "d15.data_CACGGGTAGCAGTACG-1", "d15.data_ATTCCTAGTTGTGGAG-1", "d15.data_GCACGGTCACACGGTC-1", "d15.data_AGCTTCCAGGTGATCG-1", "d15.data_GGGTCTGGTCTAGGCC-1", "d15.data_TTAGTCTTCTTACCAT-1", "d15.data_GTCAAGTCATCTTCGC-1", "d15.data_CTGAGGCAGAACAGGA-1", "d15.data_TTCATTGGTAGAGGAA-1", "d15.data_CTTCTCTGTCGAATTC-1", "d15.data_GCCAACGCACTAAACC-1", "d15.data_AGGATAACATTCGATG-1", "d15.data_TTCCTTCGTTTGATCG-1", "d15.data_TTTCGATAGAGAGTGA-1", "d15.data_GTTAGTGGTAACAAGT-1", "d15.data_ATGAGGGAGCTAGATA-1", "d15.data_ATGTCTTGTTTCGATG-1", "d15.data_GAATCGTTCGTAGAGG-1", "d15.data_TCTTCCTCACAAATCC-1", "d15.data_AGGGTTTGTTGTTGAC-1", "d15.data_GGGTGTCCATTGAGGG-1", "d15.data_ATAGGCTCATACAGGG-1", "d15.data_GAGCTGCTCGTAGTGT-1", "d15.data_GAGGGTATCTGGCTGG-1", "d15.data_CGCCAGATCGGAAACG-1", "d15.data_ACATCCCTCAAGGACG-1", "d15.data_AGAGCCCTCGTTAGAC-1", "d15.data_CAAGAGGTCAGACAAA-1", "d15.data_GACAGCCCAGGTGGAT-1", "d15.data_TGGATCACACAAGTGG-1", "d15.data_GGAGCAACAATTTCTC-1", "d15.data_AATCGTGAGATGGCGT-1", "d15.data_TACTTGTGTATCGTTG-1", "d15.data_CGATGGCTCGCTCCTA-1", "d15.data_TCTCTGGAGATTGCGG-1", "d15.data_CATACAGAGCCGTAAG-1", "d15.data_AGACTCAGTCGGTAAG-1", "d15.data_ACTATTCGTAGTCGTT-1", "d15.data_CATCGGGTCGATGCTA-1", "d15.data_TGGGCGTTCGTTCCTG-1", "d15.data_AAGTCGTGTCAGTCTA-1", "d15.data_TTTGGTTAGATCCCAT-1", "d15.data_GCACGTGGTCGGCTAC-1", "d15.data_TTGATGGTCGGAGCAA-1", "d15.data_CTGCAGGGTTGCCTAA-1", "d15.data_TATATCCAGGTGAGCT-1", "d15.data_TAGATCGCATTCAGGT-1", "d15.data_ATCACAGAGCAGGCAT-1", "d15.data_CTACATTCAGACACAG-1", "d15.data_CCTATCGGTACATTGC-1", "d15.data_GTCGTTCTCCATTGCC-1", "d15.data_GTCGTTCCATCGTGCG-1", "d15.data_AATCACGTCGTAGAGG-1", "d15.data_ATGGGTTAGGGATCAC-1", "d15.data_CTGTGGGGTATGGGAC-1", "d15.data_TTGGGATGTATAATGG-1", "d15.data_CTTTCAACAGTCGCTG-1", "d15.data_GGGATGAGTTAGAAGT-1", "d15.data_AGTTAGCGTGTTGATC-1", "d15.data_TTGCATTTCCATGCAA-1", "d15.data_CAGGGCTAGCAGCAGT-1", "d15.data_AATCGACAGCGCTGAA-1", "d15.data_GTCTAGACAACATCGT-1", "d15.data_TACCGAAGTGGAAGTC-1", "d15.data_CAGTGCGGTCAAGCCC-1", "d15.data_TTGCCTGTCAAGCGTT-1", "d15.data_CATGGTAGTTGCGGAA-1", "d15.data_CATTTCATCGGTCAGC-1", "d15.data_GTGTCCTGTTTCGTAG-1", "d15.data_CCCTTAGTCTCGACGG-1", "d15.data_GATTCGACACTACCCT-1", "d15.data_ATCAGGTTCTGTACAG-1", "d15.data_AAACGCTGTGGATGAC-1", "d15.data_AGGCATTAGGCTATCT-1", "d15.data_CGGGTGTGTGGCTACC-1", "d15.data_GAGTGAGAGCAGAAAG-1", "d15.data_GTCAGCGGTGCTCGTG-1", "d15.data_CATACAGCAATCGCAT-1", "d15.data_AACAGGGAGATCCCAT-1", "d15.data_TGTGTGATCTCTGCCA-1", "d15.data_ATGCCTCGTAAGATAC-1", "d15.data_CATGCTCGTGCATGAG-1", "d15.data_ATCACGACACGACTAT-1", "d15.data_CTTGATTGTTGTGCAT-1", "d15.data_CTATAGGGTGATGAAT-1", "d15.data_AGTAGCTAGTGATAAC-1", "d15.data_CCTCCTCTCGAAACAA-1", "d15.data_AATGAAGGTTTAGAGA-1", "d15.data_GAATCGTGTGTGAGCA-1", "d15.data_TCAAGTGCACCAGACC-1", "d15.data_ACGTCCTGTCTTGCGG-1", "d15.data_GTCAGCGTCACTGGTA-1", "d15.data_TGTGAGTAGGAACGCT-1", "d15.data_TCCGAAAAGTCGAGGT-1", "d15.data_CATGAGTGTTAATGAG-1", "d15.data_TACCGAAGTCATCAGT-1", "d15.data_CGTTCTGAGAAGCGAA-1", "d15.data_TGGTACACAATGTCAC-1", "d15.data_TGCTTGCCAAATGGAT-1", "d15.data_GTGGAAGTCGACGAGA-1", "d15.data_ACGTAACCAGCTCTGG-1", "d15.data_GATGGAGCATGCCGAC-1", "d15.data_TGGGCTGTCATGCCAA-1", "d15.data_TAACACGTCTTAGCAG-1", "d15.data_AGCTACACATAGTCAC-1", "d15.data_CCTTCAGTCTCGTTTA-1", "d15.data_TAGGAGGGTTCGGACC-1", "d15.data_TTTGTTGGTGACTCGC-1", "d15.data_ATGATCGGTAGCTGAG-1", "d15.data_ACTACGAGTCCGTACG-1", "d15.data_GGTGAAGAGGCACCAA-1", "d15.data_TGTTCCGCAGAGTCAG-1", "d15.data_ACCAAACAGTGTACCT-1", "d15.data_GTGCGTGCAGCGAACA-1", "d15.data_CCTGTTGTCTGCTTAT-1", "d15.data_CGGAACCCACAGCTTA-1", "d15.data_GCCCGAACACATTACG-1", "d15.data_TGCGATAAGCTGAGTG-1", "d15.data_CTTAGGACAGCGTGAA-1", "d15.data_CAATCGAAGCGACCCT-1", "d15.data_ATGTCCCGTCGAACGA-1", "d15.data_GTGCGTGGTTACAGCT-1", "d15.data_AGGAGGTCAGGCTACC-1", "d15.data_GAATCGTGTGGACAGT-1", "d15.data_ACGTACATCGTGGCTG-1", "d15.data_GAGACTTCACGGTAGA-1", "d15.data_TATTGGGCAAGCTGTT-1", "d15.data_TCAAGCACAGGAGGTT-1", "d15.data_ATAGGCTCAAATTGGA-1", "d15.data_CTTGATTTCATCGTAG-1", "d15.data_GCCGTGAGTAATGCTC-1", "d15.data_TCGCTTGAGATGATTG-1", "d15.data_CCTCATGTCCGTCCTA-1", "d15.data_AGGACTTTCTCCGTGT-1", "d15.data_GTTGTCCGTTAAGAAC-1", "d15.data_TTCCGGTTCGACTCCT-1", "d15.data_CATCCCAAGTGGAAGA-1", "d15.data_CAGATACGTGAGGAAA-1", "d15.data_CATCCGTGTGTCCGGT-1", "d15.data_GACGCTGGTCTGATCA-1", "d15.data_AGGGTGACATTACGGT-1", "d15.data_AGCATCAGTTAGGCTT-1", "d15.data_TTTCCTCCAAGAGTAT-1", "d15.data_CAGGTATGTCTTTCTA-1", "d15.data_TCAGGTATCAACACCA-1", "d15.data_TCGCACTCAGAACTCT-1", "d15.data_CTAACTTAGCTTGTGT-1", "d15.data_ATTTCTGCACTCATAG-1", "d15.data_ACACTGATCGTTGTAG-1", "d15.data_GGGATCCTCTAGAACC-1", "d15.data_TTGCCTGGTTAAAGTG-1", "d15.data_TGGCGTGGTGGTACAG-1", "d15.data_ACCTGAACAGTAGAGC-1", "d15.data_TCTCAGCCAATGCAGG-1", "d15.data_GGCTGTGAGCCTGTGC-1", "d15.data_GCTTTCGAGGAAAGGT-1", "d15.data_GGGACCTCAGCCGGTT-1", "d15.data_CTACATTCAAGTCGTT-1", "d15.data_GTAAGTCCAGGTCAGA-1", "d15.data_GAAGTAACACTGTGTA-1", "d15.data_CCCGGAAAGACCATTC-1", "d15.data_TGGGAAGAGACTTAAG-1", "d15.data_GTGTCCTGTCACGACC-1", "d15.data_CTAACTTAGTACCCTA-1", "d15.data_GAGGGATTCCAAGAGG-1", "d15.data_AGTTCCCGTAGTACGG-1", "d15.data_ACGATGTGTAAGGTCG-1", "d15.data_TGGGATTGTAGAGTTA-1", "d15.data_AATTTCCAGTCTTGGT-1", "d15.data_CACGGGTCAGTCAGCC-1", "d15.data_ACGGAAGAGATGCTGG-1", "d15.data_ACTGATGAGTCAACAA-1", "d15.data_TCTAACTTCCCATGGG-1", "d15.data_TTCAATCTCTGTAAGC-1", "d15.data_GACCGTGCAAGAAACT-1", "d15.data_TTTACTGTCTCGAACA-1", "d15.data_TCAGTCCAGATCGCCC-1", "d15.data_GGTAATCCATGATGCT-1", "d15.data_CTTACCGCATGTGACT-1", "d15.data_TCGCACTTCCTGGGAC-1", "d15.data_ATTCCCGGTGCAGTGA-1", "d15.data_GAGGGTACATACACCA-1", "d15.data_GCCAACGGTTGCAAGG-1", "d15.data_TCGTCCAAGGGCAGTT-1", "d15.data_TAGGTACAGCGTGTCC-1", "d15.data_TGTTCCGAGCCTGAAG-1", "d15.data_TCGAACAGTTGCAAGG-1", "d15.data_CCACTTGAGGAAAGAC-1", "d15.data_GTCCCATTCTATTGTC-1", "d15.data_TGAGCATGTTAGAGAT-1", "d15.data_GCTCAAAAGAGCAAGA-1", "d15.data_GTGGTTAGTGTAACGG-1", "d15.data_AGGGTTTCACACACTA-1", "d15.data_GCGTTTCGTGACGTCC-1", "d15.data_TGTCCACTCCAGCAAT-1", "d15.data_ATGAGTCCAGACAAAT-1", "d15.data_ATGCCTCCACGCAAAG-1", "d15.data_CAGCAATGTGACAGGT-1", "d15.data_GTTCTATCAGAGCCCT-1", "d15.data_TCTAACTAGATGAAGG-1", "d15.data_AACAAGACATCCGGCA-1", "d15.data_CCGAACGCAGTACTAC-1", "d15.data_TAATTCCGTATCGTTG-1", "d15.data_TGCTGAACAAGTCGTT-1", "d15.data_GTCTGTCTCAGTGTGT-1", "d15.data_GGGACAAGTTTCGTAG-1", "d15.data_CTCAGGGAGCCATTTG-1", "d15.data_GATTGGTTCGTCACCT-1", "d15.data_CTCATGCTCAATCCAG-1", "d15.data_GTTGTAGAGATCGCCC-1", "d15.data_CGCAGGTGTGCTAGCC-1", "d15.data_TCATGAGGTCATATGC-1", "d15.data_GTAATCGCAGGTCCGT-1", "d15.data_AATGAAGGTTGGGACA-1", "d15.data_AGGATCTCAATACGAA-1", "d15.data_GGGTCTGTCCGTTGAA-1", "d15.data_GTAGGAGGTGATTCAC-1", "d15.data_GTGGAGAGTCAACACT-1", "d15.data_TACTTCAGTACAACGG-1", "d15.data_ATCGTGAAGTCCCGGT-1", "d15.data_GTGGCGTAGTCGAAAT-1", "d15.data_ACGATGTGTGCGCTCA-1", "d15.data_TCCTCCCTCTAAGAAG-1", "d15.data_CGTAAGTCACGGGTAA-1", "d15.data_CGCAGGTCAGGTGAGT-1", "d15.data_GCAGTTAAGGTCACAG-1", "d15.data_AGGGAGTTCAGTGCGC-1", "d15.data_CATGAGTCATTGCCTC-1", "d15.data_GTGAGGATCTGAGGTT-1", "d15.data_ATACCTTTCGTAGCCG-1", "d15.data_GGAATGGGTATCAGCT-1", "d15.data_TGAGGAGCAAGAAACT-1", "d15.data_ACGTAGTAGAGTGACC-1", "d15.data_TTTGTTGAGGAGGGTG-1", "d15.data_TAGTGCAAGCCACCGT-1", "d15.data_CACACAAGTGTACAGG-1", "d15.data_GCCTGTTCAGCGTATT-1", "d15.data_GGAAGTGTCATTTGGG-1", "d15.data_TGGAGGAGTCCACTTC-1", "d15.data_AGGGCCTTCTGGGCGT-1", "d15.data_GGTGTTATCATTTGGG-1", "d15.data_GCCAGTGGTGTACGCC-1", "d15.data_GTTCGCTCAGAAATTG-1", "d15.data_ATCGCCTGTGTGCCTG-1", "d15.data_TTTGGAGAGCGACTAG-1", "d15.data_TCGCAGGTCCTCTAGC-1", "d15.data_TTAGGGTCACCTGAAT-1", "d15.data_CTCTCAGCAGTATTCG-1", "d15.data_TCTCCGAAGCTCGGCT-1", "d15.data_CATGAGTCAGAAGTTA-1", "d15.data_AGGAAATTCGTCGATA-1", "d15.data_TTAATCCCATAATCGC-1", "d15.data_TAAGCGTAGTATCTGC-1", "d15.data_CGTCAAACATTCAGGT-1", "d15.data_AACCACAGTAGTTAGA-1", "d15.data_CGAGGCTAGGTTGAGC-1", "d15.data_TACGTCCGTAGCACAG-1", "d15.data_AGACAGGGTGTAAATG-1", "d15.data_CGGGCATCAGAGTGTG-1", "d15.data_GCGGAAAGTCGGATTT-1", "d15.data_AACAAAGAGATAGCTA-1", "d15.data_TTAGTCTAGAGGTGCT-1", "d15.data_GTCTTTAGTGGTACAG-1", "d15.data_AATGGAAAGGGTCTTT-1", "d15.data_GAGGCAATCGTGCGAC-1", "d15.data_ATGGATCGTGCATGAG-1", "d15.data_TGTTGGAAGTGGAAGA-1", "d15.data_GCAACCGCAGTGTACT-1", "d15.data_TCCGGGAGTAAGGTCG-1", "d15.data_TCAGCAAAGATCGCTT-1", "d15.data_GTGCTTCCACGGTAGA-1", "d15.data_CGAGTTACAGAGAAAG-1", "d15.data_ATTCATCGTTAAAGTG-1", "d15.data_ACCCTTGTCTACGGTA-1", "d15.data_ACTTTGTAGCGTGTCC-1", "d15.data_GAAACCTGTCCCTGAG-1", "d15.data_TGCTCCAGTTCAGCGC-1", "d15.data_CTGGACGAGAAGCGCT-1", "d15.data_CACGAATCACAGTGAG-1", "d15.data_CGAGGAAAGATAGTCA-1", "d15.data_GTGTTCCCATTGTCGA-1", "d15.data_GCGGAAAAGTATCTGC-1", "d15.data_CTGTAGAAGTGACACG-1", "d15.data_AGTCACAAGTGGAATT-1", "d15.data_GGAGAACTCCAGCCTT-1", "d15.data_CGTTGGGTCCTAACAG-1", "d15.data_AGAAGCGGTGACACGA-1", "d15.data_AGCTTCCAGTCTGGAG-1", "d15.data_GGAGGTACATAGCACT-1", "d15.data_GGCTTGGTCCACTTTA-1", "d15.data_TTCCTTCTCTTGGCTC-1", "d15.data_TGCGGCATCAGGACGA-1", "d15.data_CATAGACCAAATACAG-1", "d15.data_AGAGAGCAGACCATGG-1", "d15.data_CTATAGGAGCTACTGT-1", "d15.data_CCTGTTGGTAGATTGA-1", "d15.data_CGTTGGGGTTTGAAAG-1", "d15.data_ACATCGAAGGAACTAT-1", "d15.data_TCGGATATCGGCCCAA-1", "d15.data_GAATAGAGTTGTGGAG-1", "d15.data_TGTAGACAGGGAGTTC-1", "d15.data_AGAAGTAGTCGCACAC-1", "d15.data_CACAACATCTAACGGT-1", "d15.data_ACGATCAAGTGGATTA-1", "d15.data_TCGTGCTCACAACGAG-1", "d15.data_CAGTTCCGTAGGCAGT-1", "d15.data_TAATCTCAGACTGTTC-1", "d15.data_AGCTCAATCAACTGAC-1", "d15.data_GCATGATAGGCCACTC-1", "d15.data_CATGCGGAGCAGTACG-1", "d15.data_TGTTCTAGTGACCTGC-1", "d15.data_TGGTAGTTCAGACATC-1", "d15.data_TCAAGTGAGGGCGAAG-1", "d15.data_CGAGGAATCACTTGGA-1", "d15.data_TTCCTTCGTTGCTAGT-1", "d15.data_GAAACCTAGGGCGAAG-1", "d15.data_AACAGGGAGATGCAGC-1", "d15.data_GTTTACTAGGTCCCGT-1", "d15.data_TGTTTGTGTAGCCCTG-1", "d15.data_ATTACTCGTATGACAA-1", "d15.data_AGCGATTAGCATCAGG-1", "d15.data_TGAGTCATCAATCGGT-1", "d15.data_AATAGAGTCGCATTAG-1", "d15.data_TAGACTGGTTGACGGA-1", "d15.data_TCCACGTTCAACCGAT-1", "d15.data_GATGAGGGTTGTAGCT-1", "d15.data_CGACAGCGTCTCAGAT-1", "d15.data_CATCGTCTCGAGAATA-1", "d15.data_ATTCACTCAGTCGGAA-1", "d15.data_TTGATGGCAGAACGCA-1", "d15.data_AGGATAAAGCATCCTA-1", "d15.data_CTCAGTCTCGGTTAGT-1", "d15.data_TTCAATCTCAAATGCC-1", "d15.data_TTTACCAAGCCTGAGA-1", "d15.data_TTCCTAAGTCTGTAGT-1", "d15.data_CATCGTCGTTGCTAGT-1", "d15.data_TGGAGAGTCAGGGATG-1", "d15.data_AGGAGGTTCTCTCAAT-1", "d15.data_ATGAAAGAGGACGCAT-1", "d15.data_AAGGAATAGGATACCG-1", "d15.data_GAGGCAAAGTACAGAT-1", "d15.data_GTCATTTGTAGTTCCA-1", "d15.data_GGGTCACAGATTGATG-1", "d15.data_CCGATCTGTATCAAGA-1", "d15.data_TTTACGTCAACGGCTC-1", "d15.data_TCCTGCAGTGGGCTTC-1", "d15.data_GTCGTAACACCTGCAG-1", "d15.data_TAGCACAGTTGGGCCT-1", "d15.data_GCACGTGCACTGAGTT-1", "d15.data_TAAGTCGCACTCCACT-1", "d15.data_CAGATACAGCAGCAGT-1", "d15.data_GGCACGTTCGGACTGC-1", "d15.data_GTGCAGCCAGACACAG-1", "d15.data_GTTGAACCATGGCCCA-1", "d15.data_TTGAGTGTCGCATGAT-1", "d15.data_CGGGACTCACGCTTAA-1", "d15.data_GTCAAGTAGGCATCGA-1", "d15.data_AAGCCATGTACAGTTC-1", "d15.data_TTGGTTTAGCAAACAT-1", "d15.data_TACCGAACAAGCAATA-1", "d15.data_TCCGAAATCTCGCTTG-1", "d15.data_TTCGGTCAGGTATAGT-1", "d15.data_GTGAGCCGTTATAGAG-1", "d15.data_CAGTTAGAGAACAGGA-1", "d15.data_AACCTTTTCACACCGG-1", "d15.data_ATCGGCGGTGTTGATC-1", "d15.data_ACCAAACTCATTTGCT-1", "d15.data_CTTTCGGAGGCCCACT-1", "d15.data_TCATTTGGTGGTAACG-1", "d15.data_TAGCACAGTTAGCGGA-1", "d15.data_TGCGGCACACGGATCC-1", "d15.data_ACAACCAAGTGGCAGT-1", "d15.data_TTTCAGTTCTCGTGAA-1", "d15.data_GCTCAAATCGTGCAGC-1", "d15.data_AGGCATTCAATGAACA-1", "d15.data_CATCCGTCAGATCCTA-1", "d15.data_CATCGTCGTTCCTAAG-1", "d15.data_CGTGTCTGTTACACTG-1", "d15.data_TGCGGGTGTCCTACGG-1", "d15.data_AAATGGAGTTTCGGCG-1", "d15.data_TACGGGCTCACCATGA-1", "d15.data_GATCGTATCAAATGCC-1", "d15.data_TCAATTCAGAACTCCT-1", "d15.data_ACGATGTGTTAACAGA-1", "d15.data_CGAGTGCGTTGTGGAG-1", "d15.data_GTGCACGCACTGTGTA-1", "d15.data_GTCTACCGTCGAGCTC-1", "d15.data_TCAGTGAGTGTTCCTC-1", "d15.data_GCAACATTCCAACTAG-1", "d15.data_CCTGCATCACAGCTTA-1", "d15.data_TGAGGTTGTTCTCACC-1", "d15.data_GTTACCCTCCTCAGAA-1", "d15.data_AGTCAACGTGCAATAA-1", "d15.data_CGGAACCGTTACGGAG-1", "d15.data_AGCGCTGAGGTTTGAA-1", "d15.data_GAAGGGTTCGATACAC-1", "d15.data_CTTCTCTTCAACTACG-1", "d15.data_GAGTGTTAGGATTACA-1", "d15.data_CGCATGGAGCAGGCTA-1", "d15.data_AGTGACTAGCATCAAA-1", "d15.data_TCAGCAAGTTGATCGT-1", "d15.data_AGTAACCGTGATTCAC-1", "d15.data_CATTCTAGTCAGACGA-1", "d15.data_CGATGGCGTAGGCAAC-1", "d15.data_GGGTTATAGTTACGGG-1", "d15.data_AGCTACAGTTGCATGT-1", "d15.data_TCATTTGGTCTTAGTG-1", "d15.data_CTTCTAAAGAAGTATC-1", "d15.data_CTATCTACAAGTGCAG-1", "d15.data_TCATGGAGTCTGTGTA-1", "d15.data_TAACCAGGTGACCGTC-1", "d15.data_AGAGAGCAGCAACCAG-1", "d15.data_CATCCACTCAGAGCAG-1", "d15.data_TCTGGCTCAACGATCT-1", "d15.data_TCAGGGCCACGGGCTT-1", "d15.data_CGAAGGACATACCAGT-1", "d15.data_GCCGATGCAAGTGGCA-1", "d15.data_CACTGGGGTGTTGAGG-1", "d15.data_GCCCGAAGTATTTCCT-1", "d15.data_CGTTGGGTCCATACAG-1", "d15.data_ACTCCCACAGGAGACT-1", "d15.data_TATCAGGCAACGAGGT-1", "d15.data_GACCGTGAGACAACAT-1", "d15.data_TTTCAGTGTCTTCAAG-1", "d15.data_GGCTTGGGTGCATGAG-1", "d15.data_AACTTCTTCCACGTCT-1", "d15.data_ACACGCGTCTCATGCC-1", "d15.data_AAGACAACAGAGTTCT-1", "d15.data_TTTACCAGTCGCATCG-1", "d15.data_TTCCTAAAGCGTCAGA-1", "d15.data_CTGCCATAGCCACCGT-1", "d15.data_TACTTGTCAGGTTCGC-1", "d15.data_GTAATCGGTAGAGACC-1", "d15.data_ACGGTCGGTCAAAGTA-1", "d15.data_GACCCAGAGGGCTAAC-1", "d15.data_CCGGTAGAGGTGATAT-1", "d15.data_CCTCAACCAGTAGTTC-1", "d15.data_TCATGTTTCCGTGGGT-1", "d15.data_TTGTTCAGTGCCTATA-1", "d15.data_AGAAATGCAGGCTACC-1", "d15.data_TCCTTTCGTAGTCCTA-1", "d15.data_GAGTTGTAGATGGCAC-1", "d15.data_ACTTCCGAGAGGACTC-1", "d15.data_GTGGAAGGTTGACTGT-1", "d15.data_GAGTTGTCAGGACGAT-1", "d15.data_GCCCAGACACTGTCGG-1", "d15.data_TTACAGGGTTGATGTC-1", "d15.data_TGTGAGTGTCATCGCG-1", "d15.data_TGGATCAAGACTAAGT-1", "d15.data_CGAGAAGCATGCGTGC-1", "d15.data_TGTGATGCAGCTAACT-1", "d15.data_ACACAGTGTGACCGAA-1", "d15.data_TCACTATCAAAGCGTG-1", "d15.data_ATGACCACATCAACCA-1", "d15.data_TGAGACTTCATCACAG-1", "d15.data_ATTGGGTGTCCAGGTC-1", "d15.data_TACGCTCGTGCCCAGT-1", "d15.data_ACGATGTAGGGCAATC-1", "d15.data_TTGCATTAGACATAAC-1", "d15.data_TTTCAGTGTCTGCGCA-1", "d15.data_TCTCCGAAGGATTACA-1", "d15.data_GGGACCTAGTGGAAGA-1", "d15.data_GTGTTCCCAACTGATC-1", "d15.data_TTCGATTCATCAGCAT-1", "d15.data_CAGATCACAGAGATTA-1", "d15.data_TACGGGCTCTGTCCCA-1", "d15.data_TAACACGAGCTAAACA-1", "d15.data_AATGAAGTCGCTTAAG-1", "d15.data_TCCCATGAGAAGAACG-1", "d15.data_AGACACTTCGTTGTAG-1", "d15.data_CATCGTCTCACTGTCC-1", "d15.data_GTAGAGGGTCGCATGC-1", "d15.data_ACCATTTTCGTAGAGG-1", "d15.data_CCTCTCCTCTGAGGCC-1", "d15.data_TTGCGTCCAGCTGAGA-1", "d15.data_TCCTGCATCGCTGATA-1", "d15.data_AGCGATTGTTAGCGGA-1", "d15.data_TCATATCCAAATCAAG-1", "d15.data_TCATTCATCACCATCC-1", "d15.data_CGAAGGATCTCTGCTG-1", "d15.data_ATAGAGAGTGTCCTAA-1", "d15.data_TCGAAGTGTAGCTGTT-1", "d15.data_CCGATCTAGATGTTAG-1", "d15.data_CGGACACTCCCAGCGA-1", "d15.data_AATCGTGGTTTCCATT-1", "d15.data_CAATCGATCGCTCTAC-1", "d15.data_GGGAGTACACGTCGTG-1", "d15.data_GTTACCCAGTTCATGC-1", "d15.data_TTTCGATAGTTAACAG-1", "d15.data_CTGGTCTTCATCGACA-1", "d15.data_GTAAGTCTCCGATCGG-1", "d15.data_CTCAGAAGTGCAACAG-1", "d15.data_TCACTCGTCCTACCGT-1", "d15.data_TTGTTGTGTTTCCCAC-1", "d15.data_GGGTGTCCAGCGTACC-1", "d15.data_CTTCTAAGTTATGACC-1", "d15.data_AAGCATCCACTACGGC-1", "d15.data_CAATTTCGTATGTCAC-1", "d15.data_GATAGCTGTCACTTAG-1", "d15.data_CTACCCAGTAACACGG-1", "d15.data_CTGGCAGTCTTCGTAT-1", "d15.data_TTTACCAAGTGATGGC-1", "d15.data_TATCTTGGTAACACCT-1", "d15.data_AGGCATTAGTTTCGGT-1", "d15.data_AGGGTGACAGGGACTA-1", "d15.data_AGCCAGCGTTGCGGCT-1", "d15.data_GACAGCCTCGTTCTCG-1", "d15.data_AGGTGTTCAGCTAACT-1", "d15.data_GGCAGTCGTGCGAACA-1", "d15.data_ACGGAAGTCTGACGCG-1", "d15.data_TCATGTTGTTGCTAGT-1", "d15.data_CTACAGATCCGCAAAT-1", "d15.data_GTATTGGAGGTAGTCG-1", "d15.data_AATCACGGTCACCGCA-1", "d15.data_GTTAGACAGGTTCCAT-1", "d15.data_GCCAGCACAGTGGTGA-1", "d15.data_AACCACAAGGGCCCTT-1", "d15.data_AGACTCAGTGCCTTCT-1", "d15.data_ACGGGTCTCCTACAAG-1", "d15.data_GACGTTAGTTCCGCGA-1", "d15.data_TCATACTAGCTCAGAG-1", "d15.data_ATTACCTGTTAGGCTT-1", "d15.data_AGAGCAGCAATGTCTG-1", "d15.data_AAGATAGCACGACCTG-1", "d15.data_AGGCCACTCAGTGTCA-1", "d15.data_CCCGAAGAGACCAGAC-1", "d15.data_GAGTTACCAGGTCAAG-1", "d15.data_AGTCATGTCTTCTCAA-1", "d15.data_GGGTTATCACACGCCA-1", "d15.data_TCGTAGAGTCATGGCC-1", "d15.data_GTTACGAAGTCTGCAT-1", "d15.data_ATTCAGGTCTTTCTAG-1", "d15.data_TCGTCCAGTGTACGCC-1", "d15.data_GGCAGTCTCCCAGCGA-1", "d15.data_ATCGATGCAGAGTTGG-1", "d15.data_TCCTAATCACTAAACC-1", "d15.data_ATTCATCAGGACTAAT-1", "d15.data_TTCCGGTTCGCGTAGC-1", "d15.data_CACGAATCAAGCCTGC-1", "d15.data_TTACAGGTCAGTGCGC-1", "d15.data_GGCAGTCTCCAGCCTT-1", "d15.data_TCTCCGATCATTACGG-1", "d15.data_ATTGGGTTCTGGACCG-1", "d15.data_CAGAGCCCAAGTGGAC-1", "d15.data_TGGCGTGCACAATGAA-1", "d15.data_AGACAAAAGAAGCGCT-1", "d15.data_ATTCCATCACAGGATG-1", "d15.data_ATCGTAGGTGTAGGAC-1", "d15.data_GGTGTCGGTGTTCATG-1", "d15.data_CTGCCATCAATTTCTC-1", "d15.data_CAGGGCTTCACGATCA-1", "d15.data_AGATAGAAGGGAGGCA-1", "d15.data_CTGCGAGCAATTCGTG-1", "d15.data_TGCATCCAGACCAAGC-1", "d15.data_TCGGTCTTCCGATTAG-1", "d15.data_TGATGGTGTAAGACCG-1", "d15.data_TTTGATCAGTGGAAGA-1", "d15.data_CTGGACGAGGTTGCCC-1", "d15.data_TCGCTCAGTGGTATGG-1", "d15.data_AGTTCGATCCACCCTA-1", "d15.data_AAAGAACTCTTCGTGC-1", "d15.data_AGAGCAGTCTAGACCA-1", "d15.data_ATGCGATTCAGAGTGG-1", "d15.data_GAGGGATAGTTGCCCG-1", "d15.data_GGATCTAGTCATACCA-1", "d15.data_GGAATGGAGGTTATAG-1", "d15.data_TCTCTGGAGATGTTCC-1", "d15.data_GCATCTCCAAGCCCAC-1", "d15.data_GTTGTAGAGTTGAAGT-1", "d15.data_ACACAGTCAGAGGCAT-1", "d15.data_CCGTTCACAGCTGTCG-1", "d15.data_GGCAGTCTCGTGGGAA-1", "d15.data_AATGCCAGTTCTCCTG-1", "d15.data_TGCGGCAGTGGTCTCG-1", "d15.data_TTGTTTGAGAGTCGAC-1", "d15.data_CTAGGTAAGCTGTGCC-1", "d15.data_ACGCACGAGTCGAGGT-1", "d15.data_CGGTCAGGTGCAACGA-1", "d15.data_GAGTTGTCATAGAAAC-1", "d15.data_TGGGAAGTCTTACGTT-1", "d15.data_TATTTCGGTAAGCGGT-1", "d15.data_TCGGGTGTCGATCCAA-1", "d15.data_TGTGCGGCATGTCTAG-1", "d15.data_AGACTCATCAGCTAGT-1", "d15.data_CTACCTGAGTAAACTG-1", "d15.data_CATCAAGAGCGTTCCG-1", "d15.data_CACGAATGTGCCGTTG-1", "d15.data_GAAATGACACCATTCC-1", "d15.data_CATTCTACAGATCCTA-1", "d15.data_TTGCGTCTCACGAGGA-1", "d15.data_CTACCTGGTTGCATGT-1", "d15.data_GAAGCCCGTTTGGGAG-1", "d15.data_TGACAGTAGACGACTG-1", "d15.data_CATTCTATCCACTGGG-1", "d15.data_TTGTTTGGTGAACCGA-1", "d15.data_TCACTATAGAGGCGTT-1", "d15.data_TTAGGCAGTATAGCTC-1", "d15.data_GCATTAGAGGACCCAA-1", "d15.data_TGTACAGTCTCCAAGA-1", "d15.data_ACCATTTCAACTGGTT-1", "d15.data_CACAGATTCGATACGT-1", "d15.data_GGACGTCAGGGAGGTG-1", "d15.data_GGAACCCTCGGTGTAT-1", "d15.data_GTGAGTTTCGGTCATA-1", "d15.data_TAGTGCAGTACGACAG-1", "d15.data_GAATCGTCAGTAGGAC-1", "d15.data_TGTCCCAGTAGTCACT-1", "d15.data_CCGGGTAAGCTACTAC-1", "d15.data_TGAGGAGAGCTGTCCG-1", "d15.data_TACCTGCAGGTCCCTG-1", "d15.data_TCCGGGAAGTTACGTC-1", "d15.data_GGGATGACATCAGCTA-1", "d15.data_AGTTAGCGTGTGTTTG-1", "d15.data_TCATACTTCAAGGCTT-1", "d15.data_GTACAGTGTTATCCAG-1", "d15.data_AGAACAAGTAGAATGT-1", "d15.data_TCTGGCTGTAGCGTCC-1", "d15.data_GGCTTTCTCGACGATT-1", "d15.data_AAGCCATGTGGAGAAA-1", "d15.data_TTTACCAAGTTGCTCA-1", "d15.data_CATCGTCAGCAATTAG-1", "d15.data_CAGGTATCACGCGTGT-1", "d15.data_ATTCTACTCTTTACAC-1", "d15.data_GAGTTACTCTTCGCTG-1", "d15.data_GTGATGTTCGGTAAGG-1", "d15.data_TTGAACGTCGGAGTGA-1", "d15.data_GTCTTTAAGTATGCAA-1", "d15.data_CTGAGGCAGCTCCACG-1", "d15.data_CGCGTGATCTGAGGCC-1", "d15.data_TCGTCCAGTCAGTCCG-1", "d15.data_GACAGCCGTTGCACGC-1", "d15.data_ACAGAAAAGTGATTCC-1", "d15.data_TGTTACTGTGGAGGTT-1", "d15.data_TGGAGGATCGTTATCT-1", "d15.data_CTACATTGTTAGGAGC-1", "d15.data_AGGACTTAGACCATAA-1", "d15.data_ACTTATCGTCCTACAA-1", "d15.data_GTGATGTAGCCTCTGG-1", "d15.data_TTTACCATCGGTGTAT-1", "d15.data_CACCGTTTCCTTGAAG-1", "d15.data_CATGAGTAGCATTGAA-1", "d15.data_ATCGATGCATCCCGTT-1", "d15.data_GGTTCTCCAAATGGCG-1", "d15.data_ATCGGATAGTTCTCTT-1", "d15.data_CAGATCACAGTCAGTT-1", "d15.data_GACTGATGTAGGGAGG-1", "d15.data_GGGTCACTCTTTCAGT-1", "d15.data_CATAAGCTCGGTCGGT-1", "d15.data_TGTAACGAGTCCCAAT-1", "d15.data_CATCGTCCACGTGTGC-1", "d15.data_AGTTAGCGTGGACAGT-1", "d15.data_TTGGTTTCAACGACTT-1", "d15.data_ATCTTCATCGTGTGGC-1", "d15.data_CCGTGAGTCGGCCAAC-1", "d15.data_CAATACGAGAACCCGA-1", "d15.data_ATAGACCTCTACTATC-1", "d15.data_GAAGGACTCCGTGTCT-1", "d15.data_GAAGGGTTCTTGATTC-1", "d15.data_ACTTTCACATTAAAGG-1", "d15.data_TCACACCAGAGCTGAC-1", "d15.data_CTCAGTCAGGAACGCT-1", "d15.data_GAATCGTAGCATGCAG-1", "d15.data_TGATGCAAGATTGCGG-1", "d15.data_TGGATGTGTTTCTATC-1", "d15.data_GCACGGTAGCTTCGTA-1", "d15.data_GGCAGTCGTCTTTATC-1", "d15.data_CCACGAGCACCAGCTG-1", "d15.data_TACCTCGTCGGAAACG-1", "d15.data_CGAGGAAAGATGAATC-1", "d15.data_TACGCTCCATCGCCTT-1", "d15.data_GATGATCAGCCAACCC-1", "d15.data_CTCATGCTCGTAGTGT-1", "d15.data_TGTTTGTAGGCCATAG-1", "d15.data_CATCCACTCTGTAAGC-1", "d15.data_ATGAGGGGTTGGGTTT-1", "d15.data_CACTGTCCAGGTGACA-1", "d15.data_CCGGACAGTCTGCGCA-1", "d15.data_GTTACAGTCTGATTCT-1", "d15.data_CTTAGGATCAAGTGGG-1", "d15.data_GGAGATGGTCAACATC-1", "d15.data_ATGGATCAGGATTACA-1", "d15.data_AGAAGCGGTCCGAAAG-1", "d15.data_GAGCCTGAGCAGATAT-1", "d15.data_ACTGTCCGTTAGTTCG-1", "d15.data_AGGTTACTCATCTGTT-1", "d15.data_ACCGTTCTCCACCTGT-1", "d15.data_TTCTTGAAGGGATCTG-1", "d15.data_TTTACGTGTACGGGAT-1", "d15.data_GCAGTTATCGTAATGC-1", "d15.data_ACAAGCTTCATTACCT-1", "d15.data_TCGGGTGCACTCTCGT-1", "d15.data_AAAGAACAGATGGGCT-1", "d15.data_CAGAGCCGTTGTCTAG-1", "d15.data_ACTTCGCTCCCTCATG-1", "d15.data_CTCATCGCAGAGGCTA-1", "d15.data_GTCTTTACATTACGGT-1", "d15.data_GTTGTAGGTTAGGACG-1", "d15.data_TTTATGCCACTTCATT-1", "d15.data_TCATTCATCTTTGATC-1", "d15.data_CTACTATGTAAGCGGT-1", "d15.data_TCAGGTAAGCCACAAG-1", "d15.data_GGGTGAACACAGCCAC-1", "d15.data_ATCAGGTTCCGCGATG-1", "d15.data_GAAGAATAGAATCGAT-1", "d15.data_TATCTGTTCATTGTTC-1", "d15.data_TTTGGAGAGGTGCATG-1", "d15.data_AGGACGATCCAGGACC-1", "d15.data_TTGGGTAGTTGCGGCT-1", "d15.data_GTACAGTCATAGGTAA-1", "d15.data_TACGGTAGTAGGTCAG-1", "d15.data_GATCACATCTGTGCAA-1", "d15.data_TCTGCCATCCTTGGAA-1", "d15.data_AGGGTCCGTTACGTAC-1", "d15.data_ACTTAGGTCTCTTGCG-1", "d15.data_TGCCGAGTCCATTCGC-1", "d15.data_GGAATGGAGACTCTTG-1", "d15.data_AAAGTCCGTGGGTCAA-1", "d15.data_CGTTCTGGTGCCAAGA-1", "d15.data_CACGAATTCTCGTGGG-1", "d15.data_GTGCGTGGTTGTATGC-1", "d15.data_CAAGGGATCAGGTAAA-1", "d15.data_TATCCTAAGAGTGTGC-1", "d15.data_TGATTTCCAACACGTT-1", "d15.data_GATGACTGTAGGTTTC-1", "d15.data_TATCCTATCTCGCAGG-1", "d15.data_ACACCAAGTCGTATGT-1", "d15.data_AGTAGCTAGATGCTTC-1", "d15.data_CCGTGAGCAAATACAG-1", "d15.data_GCGTGCAGTCCCGTGA-1", "d15.data_TAGCACAGTATGAGGC-1", "d15.data_ACGGTCGGTAATGCTC-1", "d15.data_TGATGCACATGAAGGC-1", "d15.data_TTGCATTGTTCGTACA-1", "d15.data_TCCATGCGTTGGCTAT-1", "d15.data_TTCCAATCATACCGTA-1", "d15.data_AGTGATCTCGCGTGAC-1", "d15.data_CCGATCTGTTCTTAGG-1", "d15.data_ATCCACCGTGACCGAA-1", "d15.data_GTGGGAAAGCGCTGAA-1", "d15.data_GGGCTCAGTGACATCT-1", "d15.data_TTCATTGAGTCGCCCA-1", "d15.data_CGTTGGGGTGAGTAAT-1", "d15.data_CTGTATTTCCACAGCG-1", "d15.data_GGTTCTCAGCATGAAT-1", "d15.data_ACCGTTCTCTTCGTAT-1", "d15.data_GCACTAAGTCGCACAC-1", "d15.data_TTTACCAGTACCCGAC-1", "d15.data_ACTCCCAAGTCTGGTT-1", "d15.data_TTCGGTCCACCCATAA-1", "d15.data_GAGTGAGCAAACAGGC-1", "d15.data_ATGGAGGAGGTTTGAA-1", "d15.data_CACTGAATCGAGATGG-1", "d15.data_CGCATAACAACAAGTA-1", "d15.data_GTGCGTGAGAAAGCGA-1", "d15.data_TTGGGTAAGCCATATC-1", "d15.data_GGAGGATCATAGACTC-1", "d15.data_TGCGGCAGTCCAGCCA-1", "d15.data_TGTCCTGAGTCAGAGC-1", "d15.data_TCTTTGATCCGCTGTT-1", "d15.data_TGATGCATCCCGAATA-1", "d15.data_ATCGTGAGTGCTGCAC-1", "d15.data_GACATCACAACGGTAG-1", "d15.data_AGATGCTGTGTCCGTG-1", "d15.data_AGTTCGAAGTTAACAG-1", "d15.data_GGTCACGGTGAATGAT-1", "d15.data_TGAGGTTAGCTGAAGC-1", "d15.data_TCAATTCTCCAAGCTA-1", "d15.data_GGGTCACTCTAAGCGT-1", "d15.data_CAGATTGGTATGGAGC-1", "d15.data_TGACGCGGTGTCTTCC-1", "d15.data_AGTCATGGTCATGGCC-1", "d15.data_AGCGATTAGCCATTTG-1", "d15.data_ATTCACTCAACAGATA-1", "d15.data_TGGAGGACAAGTCCCG-1", "d15.data_GTATTGGTCTGGAAGG-1", "d15.data_ATCACGAAGACAGCTG-1", "d15.data_AAGTGAACAACTGCTA-1", "d15.data_CTGTCGTCAGATTCGT-1", "d15.data_ACGTTCCCAACTTGCA-1", "d15.data_ATCCACCGTGCAGTGA-1", "d15.data_GAGGGTACATTCACCC-1", "d15.data_GCGAGAAAGTCGAGGT-1", "d15.data_AACACACCATCGATAC-1", "d15.data_TCGGGCATCTTTCCGG-1", "d15.data_AGTCACATCTTTCTAG-1", "d15.data_CCGCAAGTCGGCTGAC-1", "d15.data_TCGTCCATCTGGCTGG-1", "d15.data_CGAATTGAGCGTGTTT-1", "d15.data_CTAGGTAAGCCTATTG-1", "d15.data_AAGGAATCAGGGTCTC-1", "d15.data_TGACTCCAGCGTGCTC-1", "d15.data_GAATAGAAGCGCGTTC-1", "d15.data_AGGATAAAGTGGCAGT-1", "d15.data_TGTCCTGTCATCACCC-1", "d15.data_GTTGTAGAGGTAATCA-1", "d15.data_TCATGGATCCGAACGC-1", "d15.data_CCATCACGTATCGTAC-1", "d15.data_CTCCCTCGTTACACAC-1", "d15.data_TCTTGCGTCCGTGCGA-1", "d15.data_ACATCGAAGGACAACC-1", "d15.data_TAGACTGGTCCGACGT-1", "d15.data_TGGGATTCATAGTCAC-1", "d15.data_ACCAACAGTAACAAGT-1", "d15.data_ACATGCAAGCTGAAGC-1", "d15.data_GTGGAGATCCCGAGGT-1", "d15.data_TCAGGTAAGTAATACG-1", "d15.data_GTGAGGAGTATTGACC-1", "d15.data_CAGCAGCGTGCAATAA-1", "d15.data_TTGGTTTCATGAGAAT-1", "d15.data_GATTGGTGTCGTCAGC-1", "d15.data_TGAGCATGTTGATCGT-1", "d15.data_CCTAAGAAGCCGAATG-1", "d15.data_ATGGGAGGTTGTCTAG-1", "d15.data_GTCCACTTCCGAGTGC-1", "d15.data_CGAGAAGGTTCAAACC-1", "d15.data_CATCGTCTCCTCATAT-1", "d15.data_GTCGCGATCAGTCTTT-1", "d15.data_CCACAAATCCCTCGAT-1", "d15.data_CGTCAAAGTTTAGACC-1", "d15.data_TTTAGTCCAATCTCTT-1", "d15.data_TGCACGGGTAGTATAG-1", "d15.data_AGTGATCCACAACGAG-1", "d15.data_ATCCATTGTTTAGACC-1", "d15.data_AGTCACAGTGCGGATA-1", "d15.data_TCGGGCAGTCCTCCTA-1", "d15.data_CAGGTATAGGTAGCCA-1", "d15.data_TCATGCCCAAACTAAG-1", "d15.data_CGTGATACATGTGACT-1", "d15.data_ATCGATGTCCATGAGT-1", "d15.data_TGATTCTAGATCGCCC-1", "d15.data_GTTACCCCACAACATC-1", "d15.data_GTCTTTAAGGGCAAGG-1", "d15.data_ATGCGATCAACCCTCT-1", "d15.data_CTGTCGTCAACTCGAT-1", "d15.data_GGAGCAAGTACAAAGT-1", "d15.data_GTCAAGTAGCCAAGTG-1", "d15.data_CCTCTAGCATCCGAGC-1", "d15.data_AGGGAGTCATTCATCT-1", "d15.data_TTGGGCGTCGAAATCC-1", "d15.data_TAACCAGGTTCAGCTA-1", "d15.data_GCCATGGAGAGTGACC-1", "d15.data_AACAGGGTCTAGAACC-1", "d15.data_TTCCGTGTCCACACAA-1", "d15.data_AGGTTACGTCCCAAAT-1", "d15.data_GGTAACTGTCTTGCTC-1", "d15.data_ATCGTAGTCGATAACC-1", "d15.data_TCTCACGGTGGCTACC-1", "d15.data_CACTGAAGTTACCGTA-1", "d15.data_GGTAATCGTGGCTAGA-1", "d15.data_TGTTTGTGTCGTCGGT-1", "d15.data_ACTTAGGGTCGTTGCG-1", "d15.data_AACCCAAGTTTGTGGT-1", "d15.data_CGAGGCTGTCACATTG-1", "d15.data_TGACTCCGTAATTAGG-1", "d15.data_ATCCGTCGTTGCCAAT-1", "d15.data_ACCTGAAGTTTCACTT-1", "d15.data_ATGCCTCAGTTGGGAC-1", "d15.data_GGGTTATCACTTGGGC-1", "d15.data_TCATTACTCCTTATCA-1", "d15.data_GTTACGAGTATCCTTT-1", "d15.data_AATCACGGTATCACCA-1", "d15.data_CAACAGTTCCAGTGTA-1", "d15.data_TTCCGTGTCAGCTTCC-1", "d15.data_ATACCTTCACCAACAT-1", "d15.data_TATCTGTGTCGACTGC-1", "d15.data_AGACAGGGTTGCTGAT-1", "d15.data_GTTAGTGGTGGGACAT-1", "d15.data_GAGGCCTAGATGACCG-1", "d15.data_CACAGATCAGCAGTGA-1", "d15.data_TTAGTCTCAATACGAA-1", "d15.data_GTAGGAGCACCCGTAG-1", "d15.data_AGGGAGTTCCTGGGTG-1", "d15.data_CTCCCTCAGCACACAG-1", "d15.data_AAAGGATAGTAGTCCT-1", "d15.data_GGGTATTTCGTCGATA-1", "d15.data_CTATCCGGTGCACGCT-1", "d15.data_TGCAGTAGTCCTCATC-1", "d15.data_CGATGGCCAATGACCT-1", "d15.data_ACAAAGAAGGGCAAGG-1", "d15.data_ATTCCTACACTACTTT-1", "d15.data_CCAATTTTCATGAGTC-1", "d15.data_CGGAATTGTTTGCAGT-1", "d15.data_GAGGGTACACAGTCCG-1", "d15.data_TTGTGGAGTGCAACGA-1", "d15.data_TTACCGCGTCAGCTTA-1", "d15.data_CGAGGAACACCATAAC-1", "d15.data_CTACGGGGTGCATTTG-1", "d15.data_GCCAGGTTCCCGTGTT-1", "d15.data_GAAGCGACATGGCACC-1", "d15.data_GGAGGATCATGGGATG-1", "d15.data_AACTTCTTCCGCACTT-1", "d15.data_CGATCGGAGGTCATAA-1", "d15.data_GACGTTACACGCAAAG-1", "d15.data_ATACCGAGTGGAGAAA-1", "d15.data_AATTTCCCAGAAATTG-1", "d15.data_GCACTAAGTGGTCTTA-1", "d15.data_TAGGAGGTCAAACGTC-1", "d15.data_TTGCGTCAGTCACTAC-1", "d15.data_CATGCCTAGGGAGGGT-1", "d15.data_GGGTCACTCTGTCTCG-1", "d15.data_GTGCTGGCATAATGCC-1", "d15.data_GAGGGATAGTCCCGGT-1", "d15.data_AACTTCTCATAAGCGG-1", "d15.data_CCGAACGCATTGTACG-1", "d15.data_TGTTGGAAGGAAGTAG-1", "d15.data_ACATCCCAGCAGGCTA-1", "d15.data_TGTTCTACACTTGTCC-1", "d15.data_GGTTGTAAGGGCGAGA-1", "d15.data_AGGGTCCGTAAGAACT-1", "d15.data_GGTTCTCGTATTCCTT-1", "d15.data_TCCTTTCAGGGCGAAG-1", "d15.data_CTGTGGGGTCTACAAC-1", "d15.data_AGAGAATTCTTACGTT-1", "d15.data_TTGGATGGTCCTTGTC-1", "d15.data_GGGCTCACAAATCAGA-1", "d15.data_CATGCAAAGGGTACAC-1", "d15.data_GTAATGCTCAAATAGG-1", "d15.data_ATGGGTTTCGTGTGAT-1", "d15.data_CTCCTTTTCTGCAGCG-1", "d15.data_TGCTGAATCCACAGGC-1", "d15.data_TTGTGTTCATTGCCTC-1", "d15.data_ACAGGGAAGCGAGGAG-1", "d15.data_GTAACCAGTTTAGAGA-1", "d15.data_CAGGCCAGTACAGTAA-1", "d15.data_GTCGAATGTCCCGGTA-1", "d15.data_CAGATACTCATTGAGC-1", "d15.data_GAAGGGTTCGCTTACC-1", "d15.data_GTCGTTCAGTTTGGCT-1", "d15.data_CGTGATAAGTCTCGTA-1", "d15.data_GACACGCTCAAAGGTA-1", "d15.data_ATTACCTTCGCGTGCA-1", "d15.data_ACCCTTGGTGCGTCGT-1", "d15.data_GTCTAGACAGGCACTC-1", "d15.data_ACGTTCCAGTTACTCG-1", "d15.data_AGACTCATCCATATGG-1", "d15.data_TTCTAGTGTCTCAAGT-1", "d15.data_CGCGTGATCTAGACCA-1", "d15.data_GCCGATGCACATGTTG-1", "d15.data_TGTCCACCAGTAACGG-1", "d15.data_TATCGCCCAGACGGAT-1", "d15.data_ATCGTGAGTATAGGGC-1", "d15.data_CGAGGAAAGTATGTAG-1", "d15.data_CTCAATTGTGCCTGAC-1", "d15.data_ACCTGAAAGAGATGCC-1", "d15.data_TGTTCTACACTTCATT-1", "d15.data_ACCAAACGTCGAAGCA-1", "d15.data_CTCAGTCCAACTTCTT-1", "d15.data_CATCGGGTCCTGATAG-1", "d15.data_AGTCATGAGATGGTCG-1", "d15.data_TCTTAGTCAGAACGCA-1", "d15.data_GACCAATTCAGACTGT-1", "d15.data_GGTCTGGGTTGTGTTG-1", "d15.data_ATGAGTCAGTTTCGAC-1", "d15.data_GAAGGGTTCTACCACC-1", "d15.data_ATGAGTCAGTTTGGCT-1", "d15.data_TGGTGATGTATTTCGG-1", "d15.data_AAATGGAGTATGAGGC-1", "d15.data_AAAGAACGTTGCCGAC-1", "d15.data_TTCGCTGCATGACGGA-1", "d15.data_GAGCTGCGTATTGGCT-1", "d15.data_CGGACACAGCTATCCA-1", "d15.data_GGTGAAGTCAGCGTCG-1", "d15.data_ATTTACCGTCATCGCG-1", "d15.data_TGGGCGTAGAAACCAT-1", "d15.data_TATCTGTTCGCCAATA-1", "d15.data_TTGGATGAGAGTTCGG-1", "d15.data_GATGCTAAGTATGGCG-1", "d15.data_TTTACGTCAAACGTGG-1", "d15.data_GTTACCCAGTTTGGCT-1", "d15.data_TATGTTCAGTTAGTGA-1", "d15.data_GTCATCCTCTAACACG-1", "d15.data_TATCAGGGTTGCCAAT-1", "d15.data_GCTACCTAGATGTAGT-1", "d15.data_AGAAGTATCAAAGGAT-1", "d15.data_GGAAGTGCATAGGAGC-1", "d15.data_GGGTGTCTCCGACGGT-1", "d15.data_ACATCGAGTCCCGCAA-1", "d15.data_TTTGACTCAACGACAG-1", "d15.data_CTCCACATCCCAGGAC-1", "d15.data_CAGGTATCAACCACAT-1", "d15.data_AATGGAAGTACTAACC-1", "d15.data_TAGTGCATCTGCTCTG-1", "d15.data_CTGCGAGAGAGGATCC-1", "d15.data_GAGGGATGTTCAAACC-1", "d15.data_TATCTTGTCAAACCTG-1", "d15.data_AGCATCAAGCAGGTCA-1", "d15.data_GGGACTCCACTCACTC-1", "d15.data_TGAGCGCAGAAACTGT-1", "d15.data_TGCTCCATCTCCACTG-1", "d15.data_GAGTGAGCACCGCTGA-1", "d15.data_GCTACCTGTCTTAGTG-1", "d15.data_TATCTTGCACTTGGCG-1", "d15.data_TCATTCACACGTACAT-1", "d15.data_GCACGGTGTGGCTGCT-1", "d15.data_TTCAGGAGTGCAATGG-1", "d15.data_TTGTGGAAGCTTTCTT-1", "d15.data_CAGCACGCAAGCGCAA-1", "d15.data_ATTCATCGTACAGCGA-1", "d15.data_TGACTCCTCTCATTGT-1", "d15.data_GTCGCGAGTACATTGC-1", "d15.data_GTTTGGAGTGTGACCC-1", "d15.data_AGCTCAAGTCCGACGT-1", "d15.data_ACGGGTCTCGCTTGAA-1", "d15.data_AACAAAGGTACGAGTG-1", "d15.data_CCACACTCACAAGGTG-1", "d15.data_CACCAAAAGGCTTAAA-1", "d15.data_AGAGAATAGCAACAAT-1", "d15.data_CTCACTGCAAGTGCTT-1", "d15.data_GGAGATGTCCTCGCAT-1", "d15.data_TAGGTTGTCAAAGCCT-1", "d15.data_TTGCGTCCAAGGACAC-1", "d15.data_TCAAGACTCCGGTTCT-1", "d15.data_TTCTAACCAACGCCCA-1", "d15.data_TTCTGTAGTACAAGTA-1", "d15.data_GTCTAGAAGCCTGACC-1", "d15.data_ATCACGAAGTAGGATT-1", "d15.data_CTTGATTGTGCACATT-1", "d15.data_CCTCATGCACTTGAAC-1", "d15.data_TTACGTTCAAGACCGA-1", "d15.data_GGGTGAATCCGTAGGC-1", "d15.data_GGCAGTCAGAATTCAG-1", "d15.data_TTCTAACTCTGCATAG-1", "d15.data_GTGGTTAGTGCACATT-1", "d15.data_GCGGATCTCTGAGGTT-1", "d15.data_GAGTTTGGTACACTCA-1", "d15.data_ATCGCCTTCAAATGCC-1", "d15.data_GCAGGCTTCGTGGACC-1", "d15.data_GTGTTAGAGTTGCATC-1", "d15.data_CTGCGAGTCTCGTTTA-1", "d15.data_CGATCGGAGGAAAGTG-1", "d15.data_GTGACGCTCCATGCAA-1", "d15.data_TGTTCTAAGCATAGGC-1", "d15.data_CCTCAACTCCACCTCA-1", "d15.data_AGTGATCTCGATCCCT-1", "d15.data_CGAATTGAGACTCAAA-1", "d15.data_TAACGACGTCAACCAT-1", "d15.data_CTGCATCGTACGCTAT-1", "d15.data_CATACAGGTGGGTATG-1", "d15.data_CTACTATTCTAGGCCG-1", "d15.data_GGAGGATCACACCTTC-1", "d15.data_TGCTCGTCAAGTGCTT-1", "d15.data_TGATCTTCAACCGACC-1", "d15.data_TTGTTTGCATTGCTGA-1", "d15.data_ACTCCCAAGTAGGTTA-1", "d15.data_TCGGTCTTCATGGATC-1", "d15.data_GAAACCTCAAATGGCG-1", "d15.data_ACTGTCCGTTCGATTG-1", "d15.data_TGATCTTGTCACTCGG-1", "d15.data_CACTTCGTCGACCAAT-1", "d15.data_ACAGAAAGTGACTCTA-1", "d15.data_CGTAGTACAGAACGCA-1", "d15.data_CGATCGGGTGCATGTT-1", "d15.data_AATGAAGGTCTCTCAC-1", "d15.data_ATTCTACGTGATTAGA-1", "d15.data_GTGCTGGGTGGACCTC-1", "d15.data_CGAGGCTTCTAGTACG-1", "d15.data_TTCACCGGTCATCACA-1", "d15.data_TTGCGTCAGGACCCAA-1", "d15.data_ATCACAGAGGGCATGT-1", "d15.data_TGCAGGCTCTAGTGTG-1", "d15.data_GTGCTGGTCAATCTTC-1", "d15.data_CATCGTCCAGCCTACG-1", "d15.data_AACCCAAAGAAATTCG-1", "d15.data_CCGCAAGTCGACCCAG-1", "d15.data_ACAAAGAGTGAGATCG-1", "d15.data_ATACTTCAGTCTAGAA-1", "d15.data_TTTCCTCAGGCCTGAA-1", "d15.data_CAGATACTCAGAGTTC-1", "d15.data_TTACCGCGTGGAACCA-1", "d15.data_CATTCTAGTTTGAAAG-1", "d15.data_TCATTTGGTCTTACAG-1", "d15.data_ATGTCCCTCCTTCTGG-1", "d15.data_GAAGGGTTCTTCCGTG-1", "d15.data_CAGCCAGAGTCTAGAA-1", "d15.data_ACTTTCAAGGTGGCTA-1", "d15.data_TTCCGGTCATGCGGTC-1", "d15.data_GGGCTACTCTAGTGTG-1", "d15.data_ACACGCGGTCAGGAGT-1", "d15.data_ATCCGTCCAGCGATTT-1", "d15.data_CCACCATAGCCTCTGG-1", "d15.data_TGGAACTCAAAGAGTT-1", "d15.data_CCAATGATCCGTGACG-1", "d15.data_ACTTAGGGTAGAGATT-1", "d15.data_AGACACTTCACGGAGA-1", "d15.data_ACTTTCACAGAGCTAG-1", "d15.data_AGCGTATTCCTAACAG-1", "d15.data_GAAGCGATCATTGCGA-1", "d15.data_TGGAACTTCTATCGCC-1", "d15.data_GTTGTGATCCATTCGC-1", "d15.data_CATAAGCAGGGCCTCT-1", "d15.data_GAGTGAGGTTCAAGTC-1", "d15.data_GTAATCGCAACCGATT-1", "d15.data_TCGGTCTAGTGATAAC-1", "d15.data_GCTTGGGGTGATTAGA-1", "d15.data_TTTGTTGAGAATAACC-1", "d15.data_GATCACAAGGATCATA-1", "d15.data_TACCGGGTCTAGCCAA-1", "d15.data_CACAACATCATCACAG-1", "d15.data_CTTGAGACAGGAAGTC-1", "d15.data_TTTACCATCGTAGCCG-1", "d15.data_GACAGCCAGAACTGAT-1", "d15.data_CTTCCTTCAATCCTAG-1", "d15.data_AGATCCAGTGTAGTGG-1", "d15.data_CACGTTCTCCGCACTT-1", "d15.data_CCCTCTCCATGATCTG-1", "d15.data_ACTGCAAGTTTCCCAC-1", "d15.data_CCTCAGTCAACCGGAA-1", "d15.data_ACACGCGCACACTGGC-1", "d15.data_AAGATAGGTTTCGTAG-1", "d15.data_CATACAGCAGACAATA-1", "d15.data_GGAGGATAGTATGCAA-1", "d15.data_CATGCAAGTGTAAACA-1", "d15.data_GCCAGCACAACTCATG-1", "d15.data_ACATCGATCATTGCTT-1", "d15.data_GTTGAACTCTGTCCCA-1", "d15.data_AAATGGACAGGTGACA-1", "d15.data_CATACTTCAGACCCGT-1", "d15.data_GTCTTTAAGACTACCT-1", "d15.data_CTCAATTTCATCCCGT-1", "d15.data_TAGAGTCTCAGAATAG-1", "d15.data_ATTCAGGCAAGTTCGT-1", "d15.data_AGGCATTCATCCGCGA-1", "d15.data_AGGCTGCAGCAATAGT-1", "d15.data_ACTTATCAGGTTCTAC-1", "d15.data_ACTATTCTCGGTTAGT-1", "d15.data_CAACAGTGTACTGGGA-1", "d15.data_AGGCTGCCACCATTCC-1", "d15.data_CTGCCTAGTTGCTGAT-1", "d15.data_TCCATCGCATACACCA-1", "d15.data_AGGGCCTGTATCGTAC-1", "d15.data_ATCGCCTGTCTTGCGG-1", "d15.data_GTATTTCGTGCATGAG-1", "d15.data_ATCCCTGAGCGTTCAT-1", "d15.data_TACCTCGTCCGAAGGA-1", "d15.data_TGGTACATCTACGGTA-1", "d15.data_CATTCTACATGGATCT-1", "d15.data_GGTGAAGAGTACCGGA-1", "d15.data_CAACCAAAGATTCGAA-1", "d15.data_GGAGAACAGTTGCGAG-1", "d15.data_CTCCAACGTATGGAGC-1", "d15.data_ACTGATGCACCTGAAT-1", "d15.data_ATGCCTCTCACAGAGG-1", "d15.data_CGAGTGCGTACCGCGT-1", "d15.data_ATGATCGCACTATGTG-1", "d15.data_CATACCCCATCCGATA-1", "d15.data_CCGTTCATCTCATGCC-1", "d15.data_AGACACTCAGACATCT-1", "d15.data_TGTTGGAGTTACGCCG-1", "d15.data_AGTGATCTCCTGATAG-1", "d15.data_TTGAGTGGTTACGGAG-1", "d15.data_CATGAGTCACTAGAGG-1", "d15.data_AACCAACGTGAATTAG-1", "d15.data_AGAAATGTCTTTCCAA-1", "d15.data_GTTGTGAGTCATGACT-1", "d15.data_TCAGTGACACACGTGC-1", "d15.data_CTTCTCTTCTCTGCTG-1", "d15.data_GTTGAACCAGTTGCGC-1", "d15.data_TGAGACTGTCGGCCTA-1", "d15.data_CACAGGCGTGATGGCA-1", "d15.data_GAGACCCCATGACTGT-1", "d15.data_GTAACACGTGAGAACC-1", "d15.data_CATCGCTTCCTACGAA-1", "d15.data_GTTGTCCAGACTAGAT-1", "d15.data_ACTGTCCAGCCAGAGT-1", "d15.data_CATCCCAAGGCTAACG-1", "d15.data_TACGTCCCAGTGGCTC-1", "d15.data_TCGAAGTCACGCGTCA-1", "d15.data_GGGATGAGTTGCATCA-1", "d15.data_TGACAGTAGTTCCATG-1", "d15.data_GTAACACCATTAAGCC-1", "d15.data_GAATCGTCATCCTCAC-1", "d15.data_GTATTGGCAATCAGCT-1", "d15.data_GTCCACTTCACAATGC-1", "d15.data_TTGAGTGCAGTTTGGT-1", "d15.data_GGGAGATGTTAACCTG-1", "d15.data_GAGCTGCTCATGGTAC-1", "d15.data_ACCACAATCAAGCCAT-1", "d15.data_TGCTGAAAGTCATCGT-1", "d15.data_GCTTTCGGTGGCTACC-1", "d15.data_ACTCCCACAAATCAAG-1", "d15.data_CATGGATCATGATCTG-1", "d15.data_CTTTCGGCACACGCCA-1", "d15.data_GAGGGATTCGAGCTGC-1", "d15.data_CCCTCTCGTGCCAAGA-1", "d15.data_CCTCAACGTTGCTAGT-1", "d15.data_TCCACCAGTCCCTGAG-1", "d15.data_CATTCATTCTACTATC-1", "d15.data_AAAGGGCTCGAGATGG-1", "d15.data_AGAACCTCAGCTTTCC-1", "d15.data_GTAACCATCAGCTTGA-1", "d15.data_CCTCCAATCAACGAGG-1", "d15.data_AGGTCTATCTGCTTAT-1", "d15.data_AGGGCCTCATCCTTCG-1", "d15.data_TGTAGACCACTTGTGA-1", "d15.data_GGACGTCAGGAAGAAC-1", "d15.data_TTTGATCGTACGATGG-1", "d15.data_CTCTCAGAGGTATTGA-1", "d15.data_AGGACGAAGGGAGGGT-1", "d15.data_ACAGCCGCAACCCGCA-1", "d15.data_TCACGCTAGTTCCGTA-1", "d15.data_CCGCAAGGTGGAAATT-1", "d15.data_ATCGGCGTCACTCTTA-1", "d15.data_AACGAAACAGACCAAG-1", "d15.data_GTGCTGGCACCGCTAG-1", "d15.data_TCTTTGATCGTCAACA-1", "d15.data_CGAAGGAGTTTGACAC-1", "d15.data_GATGACTCATCATCTT-1", "d15.data_CCTTTGGCAATTCTTC-1", "d15.data_GTGCTTCAGATGAATC-1", "d15.data_ATAGGCTCATGACGAG-1", "d15.data_ATGACCAGTGCTTCAA-1", "d15.data_CGGTCAGTCGAACCTA-1", "d15.data_GTCGCGAGTCAGTTTG-1", "d15.data_TTCTAGTCACCTCTAC-1", "d15.data_ACATCGAGTTGTGCAT-1", "d15.data_TCCTCCCGTAGCACGA-1", "d15.data_GTCTACCTCTTCCAGC-1", "d15.data_GACTATGGTGTTTCTT-1", "d15.data_CAAGGGAAGCAAACAT-1", "d15.data_TGAGACTTCGACCAAT-1", "d15.data_ATCCTATCAAGCAATA-1", "d15.data_GTTGTAGCACAGCCAC-1", "d15.data_ATCGGATGTTATCCAG-1", "d15.data_ATGCGATGTGCTTCAA-1", "d15.data_TACCCGTCACCCTATC-1", "d15.data_GATCGTACACTGTTCC-1", "d15.data_TGCTTCGGTTCGTTCC-1", "d15.data_GACTCAACATCAGCAT-1", "d15.data_TTCTAGTGTGGACCAA-1", "d15.data_AGATGAAAGCGAACTG-1", "d15.data_GCATCTCCAAATACAG-1", "d15.data_ACTCCCAAGGCACCAA-1", "d15.data_GGGAGTAGTGTGTCCG-1", "d15.data_GATTTCTTCATGGGAG-1", "d15.data_ATTTACCCAAACGAGC-1", "d15.data_GTAATCGTCCATAGGT-1", "d15.data_GGAAGTGGTTACGGAG-1", "d15.data_TCATTTGAGTATGCAA-1", "d15.data_ATGAGGGTCCACAGCG-1", "d15.data_GGTGTCGAGGCCTAAG-1", "d15.data_TTCCTCTGTGCATGTT-1", "d15.data_CTCCTCCTCAACCGAT-1", "d15.data_GTCGTAAAGTTATGGA-1", "d15.data_TTCCTCTCAACTGGTT-1", "d15.data_ATTATCCGTACAGCGA-1", "d15.data_TTCCTAATCCATTCGC-1", "d15.data_TACCCACCACTTGTGA-1", "d15.data_GATTGGTTCCAAGAGG-1", "d15.data_AGGACGACACTGATTG-1", "d15.data_GATTCGACAAATGGAT-1", "d15.data_TTTCATGGTATGGTTC-1", "d15.data_GAGGCCTTCTATTTCG-1", "d15.data_AGGTAGGAGACATCAA-1", "d15.data_CCTACGTTCGTCAACA-1", "d15.data_ATCATTCCAGCACAAG-1", "d15.data_TTGTGTTCAGTCAACT-1", "d15.data_GTAATCGGTTACGTAC-1", "d15.data_AGGTTACAGCTGCCAC-1", "d15.data_CATCAAGTCGGCCCAA-1", "d15.data_AATGGAACAATCGTCA-1", "d15.data_CAAAGAACAACCGTAT-1", "d15.data_TGATTTCAGAATCCCT-1", "d15.data_GATAGCTTCGTTTACT-1", "d15.data_TCGTAGATCAGCGTCG-1", "d15.data_ACTATTCGTTTCCCAC-1", "d15.data_GCGATCGTCAAGATAG-1", "d15.data_AAAGAACCACATAACC-1", "d15.data_ATAGACCGTGGCCTCA-1", "d15.data_CGCATAAGTTGGAGAC-1", "d15.data_TGATGGTTCCTACTGC-1", "d15.data_CTTTCGGGTAATTAGG-1", "d15.data_AACCTTTGTGCACGCT-1", "d15.data_TGTGATGTCCAAGCAT-1", "d15.data_TGCTGAAGTCCTGGGT-1", "d15.data_ATCCACCCAGAACTTC-1", "d15.data_AGTGATCCAGGTTCCG-1", "d15.data_CGCATGGTCTTGGGCG-1", "d15.data_GACAGCCAGATACCAA-1", "d15.data_TTCGGTCTCCTCACCA-1", "d15.data_AAGTGAAGTTTCCAAG-1", "d15.data_ACAGGGAGTCAAATCC-1", "d15.data_TGGTACAAGGCAGTCA-1", "d15.data_AGGTAGGTCCTCTAAT-1", "d15.data_GTAGCTAAGTAATTGG-1", "d15.data_ACTGTGAAGCAAGTGC-1", "d15.data_TCGGGACTCCGTCCTA-1", "d15.data_TGACCCTGTGCCGTAC-1", "d15.data_TGTGCGGCACAACGCC-1", "d15.data_AACGTCATCGTGGCGT-1", "d15.data_CTCCAACCAGAGGCTA-1", "d15.data_TATCGCCTCTCCTGAC-1", "d15.data_CCTCATGTCAGAGCAG-1", "d15.data_CCACAAAAGTTAGTGA-1", "d15.data_GTCCACTGTTTCGTGA-1", "d15.data_TGGAGAGCAAGTATCC-1", "d15.data_CGATGCGTCAGGAACG-1", "d15.data_CAGTTCCTCGCATTAG-1", "d15.data_TCTTTGATCGTAGAGG-1", "d15.data_AGAAATGAGGCTTTCA-1", "d15.data_CCTAACCAGATCCCAT-1", "d15.data_GCGGAAATCGGTGTTA-1", "d15.data_GGTGAAGCAATAGAGT-1", "d15.data_GGAACCCCATGCCATA-1", "d15.data_TGCATGAAGACGCCAA-1", "d15.data_GATCAGTAGCAGGCTA-1", "d15.data_GTAGATCTCTGGTGGC-1", "d15.data_CCTACGTCAGTTGAAA-1", "d15.data_CTCACTGCATCGGATT-1", "d15.data_ACCTACCGTATGCAAA-1", "d15.data_TTACAGGTCCGATAAC-1", "d15.data_CTCAACCTCGACCACG-1", "d15.data_GCTGAATTCTAGAACC-1", "d15.data_GAGGGATTCTACACTT-1", "d15.data_TCATTACCACCTTCCA-1", "d15.data_CGATGGCGTCAACCAT-1", "d15.data_GGGAGTATCAGATTGC-1", "d15.data_GCTCAAAGTTCGGGTC-1", "d15.data_TTACCGCCACAGGATG-1", "d15.data_TGTTGAGGTCGTTTCC-1", "d15.data_CGTTGGGTCGTAACAC-1", "d15.data_GAACACTGTGCGACAA-1", "d15.data_GTACAGTAGCCACAAG-1", "d15.data_TTGGGATAGCACAAAT-1", "d15.data_TCTTTGAAGGTCTACT-1", "d15.data_TCATTACAGACCATAA-1", "d15.data_TCCTCGAAGCAAATCA-1", "d15.data_AGGAGGTTCCCTGTTG-1", "d15.data_AACACACAGCACGATG-1", "d15.data_TTTCCTCTCAAGTCTG-1", "d15.data_GAAGTAATCACCATCC-1", "d15.data_ACGGTTAGTAATGCGG-1", "d15.data_TTAGGCAAGGTCTACT-1", "d15.data_TACTTACAGAATAGTC-1", "d15.data_AGTCTCCAGCAGCCTC-1", "d15.data_AGCATCAGTGGCTCTG-1", "d15.data_TGTGATGCACAAGCAG-1", "d15.data_CTGGCAGGTAGTATAG-1", "d15.data_TACCTCGGTTTGAACC-1", "d15.data_TTGCATTCATGGCTGC-1", "d15.data_ATTTCTGGTGCGTGCT-1", "d15.data_GTATTGGGTGCCGTAC-1", "d15.data_CCGTAGGCATGTTCGA-1", "d15.data_TTTACTGTCGTCAGAT-1", "d15.data_CTTCAATCAATTTCTC-1", "d15.data_TATCCTATCTAGTGTG-1", "d15.data_ACTTCGCAGCTAGCCC-1", "d15.data_AGGATCTAGCTTGTTG-1", "d15.data_GTGGAGACAAATGCTC-1", "d15.data_GTAGTACTCTCTCTAA-1", "d15.data_TTAGTCTGTCTGTGCG-1", "d15.data_CCATCACTCTCTGAGA-1", "d15.data_TGAGCATGTAGTATAG-1", "d15.data_TGTAGACCATTGCAAC-1", "d15.data_ATCACGACAGCTTCCT-1", "d15.data_GATTCGATCAATCAGC-1", "d15.data_TTGAACGGTATTGAGA-1", "d15.data_TCATTACAGTGGAAAG-1", "d15.data_GACTCTCCAAGACTGG-1", "d15.data_GTCTGTCGTTAACAGA-1", "d15.data_GCATCGGCAAACTGCT-1", "d15.data_CGATGCGTCTTTCCGG-1", "d15.data_ACTTCGCCATACAGCT-1", "d15.data_TTGGGTACAACTGCTA-1", "d15.data_TCATGTTCATGGCACC-1", "d15.data_GGTAACTAGTATGACA-1", "d15.data_CCCGAAGGTTAACAGA-1", "d15.data_GTCATCCCACACGCCA-1", "d15.data_GTATTGGCACTCTCGT-1", "d15.data_CTATCCGTCAGTGTCA-1", "d15.data_GTCGCGAAGCTAATGA-1", "d15.data_GGACGTCCAGGCAATG-1", "d15.data_AGGTCTAAGATGCAGC-1", "d15.data_GTTACAGGTATAGGAT-1", "d15.data_TTGGTTTTCGATACGT-1", "d15.data_ATACCGATCTCAATCT-1", "d15.data_GGAGCAACACATATGC-1", "d15.data_CGGGCATAGGACTATA-1", "d15.data_ATTTACCAGCGGTATG-1", "d15.data_CTGAATGAGTTGCTGT-1", "d15.data_TCATGTTGTTATCCAG-1", "d15.data_TCCAGAACAGTCAGCC-1", "d15.data_CCTCTAGTCATACGAC-1", "d15.data_TCGCAGGCACAAGCTT-1", "d15.data_AGGGTGAAGGTATTGA-1", "d15.data_ACATCCCGTGCAACAG-1", "d15.data_ATCACTTAGGGAACAA-1", "d15.data_TTCTAACCAAGTACCT-1", "d15.data_ATCCACCTCGTAGGAG-1", "d15.data_AACCTGAAGAGGTGCT-1", "d15.data_GTAGGAGTCCTCGCAT-1", "d15.data_TGAGGGACACGTGTGC-1", "d15.data_CTGCGAGCACTCAAGT-1", "d15.data_GCGGATCTCTCGACGG-1", "d15.data_GTGTGGCCACTCCGGA-1", "d15.data_TACCGAAAGCCTTGAT-1", "d15.data_TCCACGTAGACTAGAT-1", "d15.data_GGTTGTAGTTTAGTCG-1", "d15.data_TTACAGGCATAACTCG-1", "d15.data_ATTATCCCACTGCGTG-1", "d15.data_CGGAATTAGGGATCAC-1", "d15.data_ACACTGACAAGGCAAC-1", "d15.data_CGGAACCGTCAGACTT-1", "d15.data_GTTGTCCTCACCTGGG-1", "d15.data_CCTGCATCAACGTAAA-1", "d15.data_ATGTCCCAGGTAATCA-1", "d15.data_GAATCACGTACTGCGC-1", "d15.data_TATATCCGTTCAAAGA-1", "d15.data_CATAAGCCAAACCACT-1", "d15.data_GCACTAAAGCGTCGAA-1", "d15.data_ATGCCTCAGTACGAGC-1", "d15.data_ATGACCAGTTGTGTAC-1", "d15.data_TGGTAGTTCAAGATAG-1", "d15.data_GATTCGACACTCCACT-1", "d15.data_TCGACCTAGATCACCT-1", "d15.data_TCACGGGAGTATTGCC-1", "d15.data_CTCCACACACACGGTC-1", "d15.data_GACATCAGTTTCGACA-1", "d15.data_ATCACTTAGACAGTCG-1", "d15.data_TCATCCGGTTAAGTCC-1", "d15.data_CCTAAGATCTTCGGAA-1", "d15.data_ACTATTCTCTAGTCAG-1", "d15.data_TCCCATGTCTGCCCTA-1", "d15.data_AGTCATGCACAATGCT-1", "d15.data_CCTGTTGTCTCCAATT-1", "d15.data_GTACAGTAGGACAGTC-1", "d15.data_GCGAGAACATATGAAG-1", "d15.data_GATGATCTCCGAGATT-1", "d15.data_TTCTCTCGTCTTTCAT-1", "d15.data_GATAGAACAAACACGG-1", "d15.data_GAAGCGACATTCAGGT-1", "d15.data_TACCCGTTCGACGATT-1", "d15.data_GAATCGTTCGACCTAA-1", "d15.data_ACATGCATCCTGGGTG-1", "d15.data_CTACGGGGTGTCTTCC-1", "d15.data_AGACCCGGTGGTCCCA-1", "d15.data_CGACAGCTCTGCATGA-1", "d15.data_CTCATGCAGCAACAGC-1", "d15.data_GCACGTGCAAATCGGG-1", "d15.data_CGAGGAAGTATGCGGA-1", "d15.data_TCATACTTCCGAGGCT-1", "d15.data_CCCTCAATCGCTGTTC-1", "d15.data_CCAAGCGAGAAAGCGA-1", "d15.data_GAGGCCTCATCCTGTC-1", "d15.data_GCCAGCACACCAGTAT-1", "d15.data_ACTTTCAAGAAGCCTG-1", "d15.data_CCTCTAGGTGGTCTAT-1", "d15.data_AGGAGGTTCAGCTCTC-1", "d15.data_TGGAGAGAGGACAGTC-1", "d15.data_GCCGTGATCGGCCAAC-1", "d15.data_TGCTGAAAGACGCAGT-1", "d15.data_TGAATCGCATTGCCTC-1", "d15.data_AGCCACGTCAGACCCG-1", "d15.data_TCATGCCCACAAAGTA-1", "d15.data_TGTCCACAGCTTAGTC-1", "d15.data_CATCGGGAGAAAGTCT-1", "d15.data_CGAAGGACATTGACCA-1", "d15.data_AGCATCAAGGTACTGG-1", "d15.data_TGTGTGATCTGTCGTC-1", "d15.data_CCACGAGTCTCACCCA-1", "d15.data_GTTGCGGCAGCTATAC-1", "d15.data_ATCCACCGTAGTACGG-1", "d15.data_ACGGTTACACCGTACG-1", "d15.data_TACCCGTTCAGGCGAA-1", "d15.data_GACTGATGTAACAGTA-1", "d15.data_TTGCTGCTCTATGCCC-1", "d15.data_AAGAACAGTTGTCCCT-1", "d15.data_CAGATACCATTCCTCG-1", "d15.data_ACAGGGATCCATCTAT-1", "d15.data_ATACCTTAGTTTGCTG-1", "d15.data_GTCACGGGTCGCACGT-1", "d15.data_TTCACCGCACCGTGAC-1", "d15.data_TACCCGTGTTTAGTCG-1", "d15.data_GGCTTGGCAGTATACC-1", "d15.data_ATCGTCCTCGCTTACC-1", "d15.data_CTGCCTACACATACTG-1", "d15.data_CTTGATTAGACTACGG-1", "d15.data_TGGTTAGAGTATTGCC-1", "d15.data_CTTTCGGAGACATGCG-1", "d15.data_TAGACTGTCTAGTTCT-1", "d15.data_GACACGCTCACGATCA-1", "d15.data_TTACGCCGTCGTTATG-1", "d15.data_GATGACTTCCGAAGGA-1", "d15.data_GATGACTTCTGGGATT-1", "d15.data_GGGCTCAGTAGAATAC-1", "d15.data_ACATTTCTCATCCTGC-1", "d15.data_GTAGAAATCCGATGCG-1", "d15.data_GTGGCGTCAATGAGCG-1", "d15.data_GCCCGAAAGCATGGGT-1", "d15.data_AGGATCTAGCATTGTC-1", "d15.data_TGTTTGTCAGTGGTGA-1", "d15.data_AATGCCACAGACCAAG-1", "d15.data_CTACCTGGTTCTTAGG-1", "d15.data_TGCGGGTCAGCGTAGA-1", "d15.data_ATTTACCAGCGGACAT-1", "d15.data_ACTGATGGTTCTGACA-1", "d15.data_CGTTGGGCAGAAGCTG-1", "d15.data_GACCAATTCAGAGTGG-1", "d15.data_TCACACCAGTACAACA-1", "d15.data_CGGACACAGTCCGTCG-1", "d15.data_TCTCTGGGTTGGAGAC-1", "d15.data_GTCCTCATCAAGAATG-1", "d15.data_TCAGGGCAGGTAGCAC-1", "d15.data_TTCCTCTGTCGCAGTC-1", "d15.data_CGAGGCTAGTAGAGTT-1", "d15.data_CTCAACCCAGCCGTCA-1", "d15.data_AATGGAACACAGCCTG-1", "d15.data_CTTGATTCACGATAGG-1", "d15.data_GAGACCCGTAGACAAT-1", "d15.data_TTTGGAGGTTAAACAG-1", "d15.data_AGATAGATCGTGGCTG-1", "d15.data_CGTTCTGTCCTCTAAT-1", "d15.data_AACCAACCAGGATCTT-1", "d15.data_CTCCACATCGCGTAGC-1", "d15.data_CAGCCAGAGGTGATAT-1", "d15.data_AAGACAAAGGGCCCTT-1", "d15.data_CGCAGGTCACCCTATC-1", "d15.data_GGAATCTTCTCAACGA-1", "d15.data_TATATCCGTCTTGCGG-1", "d15.data_TTCTTGAAGATCGCCC-1", "d15.data_GGGTGAACAACACGAG-1", "d15.data_GAGTTACGTATACGGG-1", "d15.data_GTAGGAGGTTTCGTAG-1", "d15.data_CTGTATTCATGACTAC-1", "d15.data_TGCTTGCCATAACCCA-1", "d15.data_CATTCATTCAGGAAAT-1", "d15.data_CAACAGTTCGAAACAA-1", "d15.data_TACTGCCAGTTACTCG-1", "d15.data_GATGAGGTCAAGAAAC-1", "d15.data_TGTGGCGAGGTACAGC-1", "d15.data_AAAGGATGTCGTAATC-1", "d15.data_AGTGTTGAGTTAGAAC-1", "d15.data_TGATCAGTCAAAGGTA-1", "d15.data_AAGCGTTTCCCGTAAA-1", "d15.data_TATCAGGGTGACCGAA-1", "d15.data_GCACATAGTACGGCAA-1", "d15.data_CACAGGCAGGCTTCCG-1", "d15.data_TAACACGAGGCTATCT-1", "d15.data_AGGATCTAGCGAATGC-1", "d15.data_CTCGAGGTCGCAGAGA-1", "d15.data_CTGGACGGTACTCAAC-1", "d15.data_CCTTTGGCAATGTCTG-1", "d15.data_ATTCCATTCTAGTACG-1", "d15.data_ACTTTGTGTAGAATAC-1", "d15.data_TCAGTTTAGGCTAGCA-1", "d15.data_TCATTCAAGAATAGTC-1", "d15.data_CTCTCGAGTCAAAGAT-1", "d15.data_AGACAGGGTCGTACAT-1", "d15.data_TGAGCGCCACAGTCAT-1", "d15.data_GAGTCTAGTTGCCAAT-1", "d15.data_AACCATGGTCATAGTC-1", "d15.data_AGCCAGCTCGTTAGTG-1", "d15.data_GCACATATCGTCTAAG-1", "d15.data_ACGTAGTTCGACACCG-1", "d15.data_TACTTACCACAAGCAG-1", "d15.data_GCCTGTTTCCAACCGG-1", "d15.data_GAGTCATCACCACTGG-1", "d15.data_AGGTCATCAGATCCTA-1", "d15.data_GGCAGTCTCGAACCTA-1", "d15.data_TCTGGCTAGAATCGTA-1", "d15.data_CGTTCTGGTTGGTAGG-1", "d15.data_ACACCAAGTATGCTTG-1", "d15.data_ACTTATCGTTCTGACA-1", "d15.data_AACAACCCAAATGGCG-1", "d15.data_TGATTCTCACCGTGGT-1", "d15.data_CTCACTGCACTGGATT-1", "d15.data_ATTCACTTCAGCTGTA-1", "d15.data_ACGATGTCACCTGAAT-1", "d15.data_CCCTCAAAGTAGCCAG-1", "d15.data_TCCACCAAGCCAAGCA-1", "d15.data_GATCAGTTCTCCCATG-1", "d15.data_CAACCAAGTACAGAGC-1", "d15.data_GAAATGAGTCCAGCAC-1", "d15.data_AGATAGAGTAATGCTC-1", "d15.data_CGAGTTAAGAGTATAC-1", "d15.data_GCAGCTGTCTCGCAGG-1", "d15.data_CCACACTCACCCTGTT-1", "d15.data_AAACCCACACCAGTTA-1", "d15.data_ACGTACAAGGCAGGGA-1", "d15.data_ATTATCCAGTACTGTC-1", "d15.data_CAGGCCACATGACGTT-1", "d15.data_GTAGAGGCATCGAAGG-1", "d15.data_AACGTCAAGCCATTTG-1", "d15.data_GCGTTTCCACCCAATA-1", "d15.data_TGGGCTGTCCATTGTT-1", "d15.data_ATCGGATGTATCTTCT-1", "d15.data_TTGGGTACACAACGAG-1", "d15.data_TGGGAAGTCTCCGAGG-1", "d15.data_TCATCCGCACGACGCT-1", "d15.data_TTTGGAGAGATACTGA-1", "d15.data_TTCTCTCCAGCGTATT-1", "d15.data_ACAACCAAGGCCTGAA-1", "d15.data_GGCTGTGAGAGCCCAA-1", "d15.data_TTCGATTCAGTAACCT-1", "d15.data_GTCTACCCAGTTTCAG-1", "d15.data_GGAGGATTCGGTCAGC-1", "d15.data_GGGATGATCATCACTT-1", "d15.data_TCGACCTCAAATGAGT-1", "d15.data_GACAGCCCAACTCGTA-1", "d15.data_CATTGTTGTAGAGATT-1", "d15.data_TCCGAAAGTCTAATCG-1", "d15.data_CATCGGGTCACTACGA-1", "d15.data_TCATGTTTCAGTGTGT-1", "d15.data_ACTTATCAGACTGAGC-1", "d15.data_TTCAATCGTAATTGGA-1", "d15.data_GTGGGAACAGTGGTGA-1", "d15.data_ACACTGAGTAATTGGA-1", "d15.data_TATACCTGTTAACAGA-1", "d15.data_AGACCCGTCGTCTACC-1", "d15.data_TAGCACATCCTCGATC-1", "d15.data_CTGCGAGCACGCTGTG-1", "d15.data_ATCATTCAGGATACCG-1", "d15.data_TAGGTACGTACTGACT-1", "d15.data_GGGCCATTCTGAATCG-1", "d15.data_ACCAACACAGCCCACA-1", "d15.data_GTTGAACTCAGCTGAT-1", "d15.data_CACGTGGGTTCGGTAT-1", "d15.data_GACCGTGTCAGATTGC-1", "d15.data_GGAGGATCAAAGCACG-1", "d15.data_AGATCCAAGAAGGTAG-1", "d15.data_TTGACCCCATGACGTT-1", "d15.data_GAGATGGTCACCGGTG-1", "d15.data_CGGAATTCAAGTGATA-1", "d15.data_CCAATTTCACCGTACG-1", "d15.data_GTAGTACCATCCCGTT-1", "d15.data_AGCATCAGTAACGTTC-1", "d15.data_TTCCTTCGTACACGTT-1", "d15.data_CCTCATGGTATGAAGT-1", "d15.data_CAGGGCTTCGACGAGA-1", "d15.data_GAGACTTGTACTGTTG-1", "d15.data_GTAGAGGGTGCACGCT-1", "d15.data_TGAGACTTCTACCCAC-1", "d15.data_GCTCAAACAGTCGGTC-1", "d15.data_TAACACGTCGGAACTT-1", "d15.data_GTCATCCTCTTACGGA-1", "d15.data_AAACGCTCAACTCCAA-1", "d15.data_ACGTAGTCATAGAGGC-1", "d15.data_CATCCCAGTTCAAACC-1", "d15.data_CAGTTAGTCGAGCACC-1", "d15.data_CCGGACACACCTGATA-1", "d15.data_TTCAGGATCTCATTTG-1", "d15.data_CCCTCTCTCTCTCGCA-1", "d15.data_TCACGGGTCGCTACGG-1", "d15.data_GAGGCAACAGAGGACT-1", "d15.data_ACCCTTGTCGAGAATA-1", "d15.data_ATTTACCAGCACTTTG-1", "d15.data_GTCTGTCTCAGGACAG-1", "d15.data_CGGAACCAGCCTCAGC-1", "d15.data_ATGGATCAGCCATCCG-1", "d15.data_GTGAGTTTCCGGCAAC-1", "d15.data_TCCTCGATCGGCCAAC-1", "d15.data_TACACCCGTCATGCAT-1", "d15.data_AGAAGCGCAAACGAGC-1", "d15.data_GCTACCTGTTTGAAAG-1", "d15.data_AAGCCATTCTCCTGAC-1", "d15.data_ACGTAGTTCTGGGCAC-1", "d15.data_GTATTGGTCAACACCA-1", "d15.data_CTGCGAGGTTAGGCCC-1", "d15.data_ATTTACCGTGCCTTTC-1", "d15.data_GCATTAGCAAGCACAG-1", "d15.data_TAAGCCAAGCGACTTT-1", "d15.data_CACGTTCTCGGCGATC-1", "d15.data_TATCTTGTCTGTGCGG-1", "d15.data_CATTGTTTCGCCACTT-1", "d15.data_AGGTAGGTCTGGTGGC-1", "d15.data_GCAGTTAAGGGATCGT-1", "d15.data_TCGCACTGTATCCTCC-1", "d15.data_CCTCACAAGTCTGGAG-1", "d15.data_GACCTTCAGCTTCTAG-1", "d15.data_CAGTGCGTCATTTACC-1", "d15.data_TTTCCTCCACGGCCAT-1", "d15.data_ACAAAGAGTCATCTAG-1", "d15.data_TTTCGATTCCACGAAT-1", "d15.data_TTGGGTATCAGCATTG-1", "d15.data_GAGTTTGCACCGTGGT-1", "d15.data_CTCCACACACACCAGC-1", "d15.data_TTTCCTCTCTGGGAGA-1", "d15.data_GTGGCGTTCGTTTACT-1", "d15.data_GGTGTCGGTCACAGAG-1", "d15.data_TGACAGTTCCTGCCAT-1", "d15.data_TGGGCGTCAAGCGGAT-1", "d15.data_GGGACCTGTGATGAAT-1", "d15.data_CAAGGGAAGGGCTTCC-1", "d15.data_TATTCCAGTAGAGCTG-1", "d15.data_CGAAGTTCAGGTTCCG-1", "d15.data_ACTCTCGAGTCACTAC-1", "d15.data_TCTCAGCAGTGTAGAT-1", "d15.data_ACCACAAGTCTGTAAC-1", "d15.data_TGCTGAACACCGTGGT-1", "d15.data_GCCCGAACAAACCATC-1", "d15.data_GGGTCACGTGACTCGC-1", "d15.data_ACATCCCCAGACATCT-1", "d15.data_ATAGACCCACGTCTCT-1", "d15.data_CATAGACTCCTACACC-1", "d15.data_TACGGTACACACCGCA-1", "d15.data_ACTTTGTTCCCTGGTT-1", "d15.data_GCATCTCGTCCACGCA-1", "d15.data_AGAAGCGAGGTAGATT-1", "d15.data_AACAACCGTGTGAGCA-1", "d15.data_GAACGTTAGCCTCCAG-1", "d15.data_AGATCCAGTTGGTACT-1", "d15.data_TGGGAGAGTACTGTTG-1", "d15.data_TGTCAGACACTCCGAG-1", "d15.data_TTGTTCATCATGCCAA-1", "d15.data_TCACACCCAGTTAAAG-1", "d15.data_CTCTCAGTCCAGCAAT-1", "d15.data_GCGGATCAGGACAGTC-1", "d15.data_TTGGTTTAGCTGCCAC-1", "d15.data_GCTGCAGAGGCTATCT-1", "d15.data_GGTGTTACACCTGATA-1", "d15.data_ACACGCGCAAGTGATA-1", "d15.data_CATCCGTGTTCGGACC-1", "d15.data_TCACATTGTGGCTACC-1", "d15.data_GAACTGTTCGACGATT-1", "d15.data_CCCTAACTCAACGTGT-1", "d15.data_AAACCCAAGGCTCACC-1", "d15.data_ACCCTCAAGTTGTACC-1", "d15.data_TGAATGCCAAAGCACG-1", "d15.data_AGGGCCTTCTGCCTCA-1", "d15.data_AGATCGTAGATACGAT-1", "d15.data_AATCACGGTGTCTCCT-1", "d15.data_AGGTTACCACGTTGGC-1", "d15.data_TTCTAACAGGTGAGCT-1", "d15.data_ATTCACTGTCTTTCAT-1", "d15.data_CATTCATTCGACCACG-1", "d15.data_TGGTAGTTCTCTGCCA-1", "d15.data_CTGAGGCGTGTTGCCG-1", "d15.data_CGTTGGGAGCTGTCCG-1", "d15.data_TTCGGTCGTTTCCAAG-1", "d15.data_TTGACCCTCAACTACG-1", "d15.data_AACCCAATCGGCAGTC-1", "d15.data_CGCCAGATCCCAGTGG-1", "d15.data_TGACCCTAGGTCCAGA-1", "d15.data_TCGACCTGTGGTAACG-1", "d15.data_CAAGACTGTCACTGAT-1", "d15.data_TTCCTCTCACGCTTAA-1", "d15.data_GACACGCCACCTCGTT-1", "d15.data_TACTTGTGTGAGATTA-1", "d15.data_ACGTACATCCACCCTA-1", "d15.data_GCGGAAACAGGGATAC-1", "d15.data_AATCACGCATCCGGCA-1", "d15.data_ACGATGTAGCACCGAA-1", "d15.data_GTTACCCAGAAACACT-1", "d15.data_CACAGGCCAGCCATTA-1", "d15.data_TTTACGTAGACTTCCA-1", "d15.data_TGTGAGTGTCCCTCAT-1", "d15.data_TTTACCAAGTTCCAGT-1", "d15.data_ACTGTCCGTCAAAGTA-1", "d15.data_TTAGGCAGTTTGAAAG-1", "d15.data_CCGATGGCAATACGCT-1", "d15.data_ACTATTCTCTGAATCG-1", "d15.data_ATTCATCGTTCGGTTA-1", "d15.data_ATACTTCTCATTGCCC-1", "d15.data_CCCTAACGTCTGCCTT-1", "d15.data_CTCTCGAGTGCGTTTA-1", "d15.data_TAACCAGAGGTTCTAC-1", "d15.data_CTTAGGAAGTCAAGCG-1", "d15.data_AGTAGCTCATTCCTAT-1", "d15.data_AGTAGCTGTATGAAAC-1", "d15.data_GTCTCACTCCATCCGT-1", "d15.data_ACTTCCGTCTACCACC-1", "d15.data_AGGGTCCCACGCACCA-1", "d15.data_GGTGATTTCTGATGGT-1", "d15.data_TGGTGATGTAACGCGA-1", "d15.data_TTCTAACCAAGTGGAC-1", "d15.data_TTCTTCCTCCCGTTCA-1", "d15.data_CCGATGGGTCATCGGC-1", "d15.data_AGCGCTGTCCATTTGT-1", "d15.data_CAGATTGAGTAAGCAT-1", "d15.data_CTCGAGGGTTGGACCC-1", "d15.data_CGTCCATCACGTCATA-1", "d15.data_TTTACCATCCGTGTAA-1", "d15.data_GTTACCCAGACTGTTC-1", "d15.data_ATTCGTTCAGACGCTC-1", "d15.data_TCCTCTTGTTTGGCTA-1", "d15.data_CCGTTCATCTGGCTGG-1", "d15.data_AGCGATTAGTTTGAGA-1", "d15.data_TTATTGCGTTGCTCGG-1", "d15.data_GTCAAACAGAGCTGCA-1", "d15.data_AACAAGACACAGCCTG-1", "d15.data_CCGGGTAAGGCAGGGA-1", "d15.data_TCTTGCGCAACTCGAT-1", "d15.data_CTCGAGGCACGAGGAT-1", "d15.data_TCATACTAGCGGGTAT-1", "d15.data_ACCCAAAAGAATTGCA-1", "d15.data_CCTAAGATCGTAGAGG-1", "d15.data_CTCCCTCTCATTCATC-1", "d15.data_AGAACAAAGAAGCTGC-1", "d15.data_TGTGTGAAGTATAGAC-1", "d15.data_AGAAGTATCTATCCAT-1", "d15.data_TCACGCTGTAAGATAC-1", "d15.data_TACATTCTCACCGGGT-1", "d15.data_CTCATTAAGGATATAC-1", "d15.data_TTGTTTGCATGAGAAT-1", "d15.data_CTACAGACAACACACT-1", "d15.data_GCTACAATCATGAGGG-1", "d15.data_TGCACGGAGGCCTTCG-1", "d15.data_TGCGATATCAGCCCAG-1", "d15.data_CTAACTTGTTGCTTGA-1", "d15.data_ACGTACAGTGGAGAAA-1", "d15.data_GAAGCGAAGCTATCCA-1", "d15.data_GAAGCGATCGTTCATT-1", "d15.data_CTTGAGACAATAGTCC-1", "d15.data_GTCATCCTCGCGTGCA-1", "d15.data_CTCGAGGTCCTTTAGT-1", "d15.data_TACCTCGTCGTTATCT-1", "d15.data_TATACCTTCGTTAGAC-1", "d15.data_TCGGGACTCATGCCAA-1", "d15.data_GTCAAGTCAGTTTCGA-1", "d15.data_GTCTAGAGTTGCCAAT-1", "d15.data_TGACGCGAGCCTAGGA-1", "d15.data_AGACCATTCTCAACGA-1", "d15.data_ACCCTCAAGACAAGCC-1", "d15.data_ACCCAAACACTTGTGA-1", "d15.data_GTTATGGTCCATTTAC-1", "d15.data_AACGAAACACCCTAGG-1", "d15.data_GGTAATCGTTGGGTTT-1", "d15.data_CAGATACGTCAACACT-1", "d15.data_TACTTCATCCGGGACT-1", "d15.data_TACCGAAGTTTGAACC-1", "d15.data_CTCCAACCACATATCG-1", "d15.data_GAATAGAGTTCGAAGG-1", "d15.data_CATCCACGTGGCTTAT-1", "d15.data_ATCGATGCAAGTGGAC-1", "d15.data_AGATGCTTCATTGAGC-1", "d15.data_CAGATTGCAGCTGTAT-1", "d15.data_GGAGGATCAGAAATTG-1", "d15.data_AAACCCATCTAAGAAG-1", "d15.data_TCATGTTTCTCAGAAC-1", "d15.data_GGAGCAACACCAGACC-1", "d15.data_TCAGCCTCAACATACC-1", "d15.data_GTGCACGCATCATGAC-1", "d15.data_CACCAAATCCGCACTT-1", "d15.data_AAAGGGCTCGCAGTCG-1", "d15.data_TCCTTTCTCTGATGGT-1", "d15.data_ATTGGGTAGTAGGGTC-1", "d15.data_GTGCGTGAGCTCGACC-1", "d15.data_CAAAGAAGTATCACCA-1", "d15.data_GTATTTCCATCCGAAT-1", "d15.data_GTTACAGGTCTTTCTA-1", "d15.data_GCAACATAGTTGAAGT-1", "d15.data_AACGTCAAGCAGATAT-1", "d15.data_CTTCGGTTCGAACCTA-1", "d15.data_CTACCTGTCGCATGAT-1", "d15.data_GCCTGTTCAAGAGAGA-1", "d15.data_GTGCGTGCATGGGATG-1", "d15.data_CTGTACCTCTTGTTAC-1", "d15.data_CAATGACTCCCATACC-1", "d15.data_TCAGTCCGTTGATGTC-1", "d15.data_CCTCAACGTACAAACA-1", "d15.data_ACAGAAACACCACTGG-1", "d15.data_CACGTTCGTTTACTGG-1", "d15.data_CAACCTCTCCCAAGTA-1", "d15.data_TCACGGGAGGGCAAGG-1", "d15.data_TACCCGTTCACTGTCC-1", "d15.data_AGACACTAGCAACTTC-1", "d15.data_GGGTGAAAGATCCTAC-1", "d15.data_CTCAACCCATCTCGTC-1", "d15.data_CTCCTCCCACAAGCCC-1", "d15.data_GATCACACACACGCCA-1", "d15.data_TTCTAACGTACGTACT-1", "d15.data_GAATAGAGTCTTCAAG-1", "d15.data_TAGATCGGTCCGGCAT-1", "d15.data_ACTTATCCAACGATTC-1", "d15.data_TTGGGCGTCCAATGCA-1", "d15.data_GGGCTCATCACCTCTG-1", "d15.data_GCCAGGTTCAAAGCCT-1", "d15.data_TATTCCAGTCTCAGAT-1", "d15.data_GATAGCTCAGGGTCTC-1", "d15.data_AGAGAATGTACATACC-1", "d15.data_TAGACTGGTCACTCGG-1", "d15.data_AAGTGAATCGAGTACT-1", "d15.data_CATGCAATCGAGAAGC-1", "d15.data_TTCCTAACAGGGACTA-1", "d15.data_TTACCATCATAAGCGG-1", "d15.data_CACAGATGTAGCGCCT-1", "d15.data_TCGGTCTCACTCAAGT-1", "d15.data_GAAGGACGTGAGAGGG-1", "d15.data_TCTAACTGTGTGACCC-1", "d15.data_GTAGCTAGTACCGGCT-1", "d15.data_ATCACAGCAACTCGTA-1", "d15.data_ACGATCAGTCGCTTAA-1", "d15.data_TCTACATTCGCCAGTG-1", "d15.data_TTGTTCAGTCATAACC-1", "d15.data_GCCATTCGTTTCACAG-1", "d15.data_AAACGCTCACGCAAAG-1", "d15.data_ACGATCAAGCACTCGC-1", "d15.data_ACGTAGTGTGTACATC-1", "d15.data_GAGTCATCACTAGTAC-1", "d15.data_GTACAACGTACCTAAC-1", "d15.data_ACGGTTACAGCCTTCT-1", "d15.data_TCAAGACAGTCCTGCG-1", "d15.data_TAACGACCAGTCAGTT-1", "d15.data_CATTGCCGTAGGTCAG-1", "d15.data_CACAACATCCTTTGAT-1", "d15.data_TTGCCTGCAGCACGAA-1", "d15.data_GCATCTCCAGACAATA-1", "d15.data_AGAGCCCAGGTCGTAG-1", "d15.data_GTGAGCCTCTCGGTCT-1", "d15.data_TCGCACTAGCAACAAT-1", "d15.data_GCCATGGGTCGTATGT-1", "d15.data_ATTCCTAGTAGGACCA-1", "d15.data_TCCTAATAGGCCTGAA-1", "d15.data_AAGACTCCAGTGCGCT-1", "d15.data_AGTTCGATCAGAGCGA-1", "d15.data_GACGCTGTCATCGTAG-1", "d15.data_TAACGACTCACAGTGT-1", "d15.data_CTGCTCAGTCTGTCCT-1", "d15.data_GATAGAACAGGCGTTC-1", "d15.data_TCAAGACAGGTCCCGT-1", "d15.data_TCGCACTCAAGCGATG-1", "d15.data_CTTCCTTAGTCATCGT-1", "d15.data_TGATTTCGTTCCTACC-1", "d15.data_CGCCATTTCGCAGATT-1", "d15.data_GGGCTCAGTTCGAACT-1", "d15.data_ATCACAGCAAGGAGTC-1", "d15.data_CCGGTAGTCCCTTTGG-1", "d15.data_ATCACTTCAGTTCTAG-1", "d15.data_ACCACAACAAATCCCA-1", "d15.data_CACGAATCATTGCCTC-1", "d15.data_GAACGTTTCAGGAAAT-1", "d15.data_AACAAGATCCGTATGA-1", "d15.data_GAGTTACGTCCACTCT-1", "d15.data_AAGTCGTCACCGGTCA-1", "d15.data_AACAAAGTCGTGCTCT-1", "d15.data_GCTTTCGTCACTCCGT-1", "d15.data_GTCTACCAGTCGAAGC-1", "d15.data_TTCCGGTTCACCTACC-1", "d15.data_AACGAAAGTTCCTTGC-1", "d15.data_ATACCGAAGCTTCATG-1", "d15.data_CCGGACATCAGTGTTG-1", "d15.data_CTGTGGGTCATACGGT-1", "d15.data_CTACCTGTCCTAAGTG-1", "d15.data_CCGTGAGTCCGAAATC-1", "d15.data_GCTGCAGCAACCGTAT-1", "d15.data_ACTTATCCACAAGTTC-1", "d15.data_CCTGCATAGCAAACAT-1", "d15.data_AATGACCAGGCATCTT-1", "d15.data_ACTTAGGAGCCTTCTC-1", "d15.data_GCCCGAATCCACCTGT-1", "d15.data_GTCTAGACACATACTG-1", "d15.data_TCTTAGTCAGCACACC-1", "d15.data_GTCTACCCAAGCCATT-1", "d15.data_CGAGGCTCACCCTAAA-1", "d15.data_CGCGTGAAGTGCTAGG-1", "d15.data_CATGAGTAGCCAACCC-1", "d15.data_TCCTGCATCGCGTGCA-1", "d15.data_GTGCACGGTTACTCAG-1", "d15.data_ATGGATCCATACATCG-1", "d15.data_CCTCAGTCAAACCACT-1", "d15.data_CGCCATTCAGCAGATG-1", "d15.data_TTACCGCTCCATCTAT-1", "d15.data_CATACCCTCGGTCTAA-1", "d15.data_AATTCCTTCCACAGCG-1", "d15.data_TCCTTTCGTCAGACGA-1", "d15.data_ATTCCTACAGGCATTT-1", "d15.data_ATTGTTCCAACCAACT-1", "d15.data_GAGACCCCAACACTAC-1", "d15.data_CTCTCAGTCATTCCTA-1", "d15.data_AGTTAGCTCGCTCATC-1", "d15.data_CTTCCTTAGACGCCAA-1", "d15.data_AATGACCAGCCTCAAT-1", "d15.data_CTCCACAGTACCGGCT-1", "d15.data_CTAACCCAGCTGTACT-1", "d15.data_GAGTTGTCAATACAGA-1", "d15.data_GCAGGCTTCCCATGGG-1", "d15.data_TTACCGCCACAATGCT-1", "d15.data_TGCCGAGGTGGACTGA-1", "d15.data_ATTCCATGTCCTCATC-1", "d15.data_GCATCTCGTGGTCCGT-1", "d15.data_CATTGAGCAGCACGAA-1", "d15.data_CATGAGTTCTTAGCAG-1", "d15.data_CCCGGAAAGCTCCACG-1", "d15.data_GGAGGATCAAGGCGTA-1", "d15.data_CGTAATGTCCTTCAGC-1", "d15.data_CATACCCTCACACCGG-1", "d15.data_GATCATGCAATCTCTT-1", "d15.data_TGGGAGATCAGCGCAC-1", "d15.data_AGTGACTCATGAAAGT-1", "d15.data_GAGACCCTCTTGGATG-1", "d15.data_CATCCGTGTGGCCCAT-1", "d15.data_CCAAGCGAGGATACCG-1", "d15.data_CTGAATGCACCCTAGG-1", "d15.data_AACAAAGGTCATCCCT-1", "d15.data_TGTTACTCACACCTGG-1", "d15.data_CGTGAATTCCCTGGTT-1", "d15.data_ACATTTCAGTAGTCTC-1", "d15.data_CCTACGTCACGTACTA-1", "d15.data_GCCCAGACAGCTTTCC-1", "d15.data_TTAATCCTCTAGGCAT-1", "d15.data_TACACCCGTCGGAACA-1", "d15.data_TAAGCCAAGCGAATGC-1", "d15.data_GACTCAACACGGCTAC-1", "d15.data_CTGTGGGCAACCGATT-1", "d15.data_TCCTCCCGTATTGACC-1", "d15.data_GGTCACGGTATCCTTT-1", "d15.data_TCAAGACGTGAATAAC-1", "d15.data_ATGAGGGAGATGACCG-1", "d15.data_TCAGTCCGTTCTCGCT-1", "d15.data_CTCAACCGTCACTCAA-1", "d15.data_CATACCCCACCGCTGA-1", "d15.data_ATGTCTTGTAGTGATA-1", "d15.data_CATCAAGAGATACAGT-1", "d15.data_GTCATGAGTCGCCTAG-1", "d15.data_ACACAGTTCGATAACC-1", "d15.data_AGAACCTCAGAGGCAT-1", "d15.data_GCTACCTGTGGAGAAA-1", "d15.data_TTCCTTCTCAGTCAGT-1", "d15.data_TGGGAGAAGTCCCAAT-1", "d15.data_CGGAATTCACATGGTT-1", "d15.data_TCAGGGCAGGTTTGAA-1", "d15.data_GGTCACGTCTAGAACC-1", "d15.data_CCTGCATGTTACGCCG-1", "d15.data_GGTCACGAGGGCAGTT-1", "d15.data_CATCGGGCAAACAGGC-1", "d15.data_GCCTGTTTCGGATAAA-1", "d15.data_TGGGATTCAGTCACGC-1", "d15.data_CAACGGCCAACTGAAA-1", "d15.data_AGACAAAAGTCAGCCC-1", "d15.data_TCATGCCTCATAGCAC-1", "d15.data_CCATCACCACATGAAA-1", "d15.data_TCGTAGAGTCCAAAGG-1", "d15.data_CTTCCGACACCGGCTA-1", "d15.data_CTCCGATGTTGCAACT-1", "d15.data_AGACTCAGTCAACCAT-1", "d15.data_ATTCATCAGCACACCC-1", "d15.data_CAGGTATCAAGAGATT-1", "d15.data_GGACGTCCACAGAGCA-1", "d15.data_GTTGAACCACTTACAG-1", "d15.data_ACGGGTCCAGCAGAAC-1", "d15.data_ATATCCTGTGCAACGA-1", "d15.data_CGAGGCTCAGTTGTTG-1", "d15.data_TTCAATCCATTCTCCG-1", "d15.data_CCTGCATTCGCCAGTG-1", "d15.data_TCAAGACAGACCAACG-1", "d15.data_GAGTGTTCATCGTTCC-1", "d15.data_TCTTAGTCACTATCGA-1", "d15.data_CGCGTGAGTATTCCTT-1", "d15.data_AGATGCTCAAGTGCAG-1", "d15.data_CAAGAGGAGAGGGTGG-1", "d15.data_CCTCCAACAAGAGTGC-1", "d15.data_GTAGAAATCGACCACG-1", "d15.data_TCGCACTTCTAGGCCG-1", "d15.data_GGGACTCTCGACACTA-1", "d15.data_GGCGTCACACGCGTCA-1", "d15.data_CTAGACACAATTGAAG-1", "d15.data_TAGATCGCACCTCGTT-1", "d15.data_GGGACCTTCTCCAATT-1", "d15.data_AGAGCCCAGGGAGAAT-1", "d15.data_TGGTTAGGTGCGGTAA-1", "d15.data_TCTATCATCATACGAC-1", "d15.data_GACTCTCCACCCATAA-1", "d15.data_ATTACTCGTTCCTTGC-1", "d15.data_GAGTTTGCAAAGGTTA-1", "d15.data_AACCTGAAGAAGTCTA-1", "d15.data_CGCAGGTAGGTCACAG-1", "d15.data_TTGCATTCAGCATTGT-1", "d15.data_ACCGTTCTCCACTGAA-1", "d15.data_CCAATTTGTATCCCTC-1", "d15.data_AGCCAGCCACTATCCC-1", "d15.data_CATCGCTGTGAATTAG-1", "d15.data_CCTTCAGGTCTTGCTC-1", "d15.data_CATCCCACAGGCTATT-1", "d15.data_TGCTTGCGTTAAGCAA-1", "d15.data_TCCTTTCCACATTACG-1", "d15.data_CATTTCACAGGCGAAT-1", "d15.data_GAATAGAGTCGAGTGA-1", "d15.data_CAGCAGCCATCAGTGT-1", "d15.data_CAGCACGGTGGACCTC-1", "d15.data_TGGGTTAAGTGATTCC-1", "d15.data_CGCATGGTCACTGTTT-1", "d15.data_CCGTTCAGTACAGTCT-1", "d15.data_TGAATCGAGCAAGCCA-1", "d15.data_GCATCGGCAACACGTT-1", "d15.data_TCGGGCAAGCAAATCA-1", "d15.data_GTCCACTTCAGCCTTC-1", "d15.data_TAACGACTCACCGGGT-1", "d15.data_TGATCTTAGGCCACTC-1", "d15.data_TACAACGCAATTGCCA-1", "d15.data_TCAGGTACAAGGCGTA-1", "d15.data_GTAGTACCACCGTGCA-1", "d15.data_TTAGGCATCAAGAAAC-1", "d15.data_CATTCATAGCACTCTA-1", "d15.data_CTTCAATCAGAGATGC-1", "d15.data_TACCGGGGTGTGACCC-1", "d15.data_ACCTACCAGCATCTTG-1", "d15.data_TCCTGCAGTCAAAGTA-1", "d15.data_ATCTCTACACTCTAGA-1", "d15.data_CGGAACCAGGGAGTGG-1", "d15.data_AGATGAATCACTCACC-1", "d15.data_TGAGGGAAGAAGCCAC-1", "d15.data_ATCGCCTGTGTCTTCC-1", "d15.data_TTTAGTCTCCATCTAT-1", "d15.data_GGAAGTGCACTTCCTG-1", "d15.data_CTAACTTGTCGGTACC-1", "d15.data_GTGAGCCTCGCATGAT-1", "d15.data_CAAGGGACACATATGC-1", "d15.data_GATTTCTCACAGTCGC-1", "d15.data_TGCATGAGTCCACACG-1", "d15.data_TGCATCCGTACTAGCT-1", "d15.data_GACAGCCCACTCCCTA-1", "d15.data_TTACGTTTCCAGCAAT-1", "d15.data_TGCTTCGCACTGCATA-1", "d15.data_GGTGAAGCAGCGTTTA-1", "d15.data_AGGTCTATCGGCACTG-1", "d15.data_CACGGGTTCAACCTTT-1", "d15.data_CACTGTCGTTCGTTCC-1", "d15.data_ACAGCCGAGAAATTGC-1", "d15.data_CGGAACCCATCCGAAT-1", "d15.data_CCCTCAAAGACGACTG-1", "d15.data_GAGACCCTCACCTCGT-1", "d15.data_TAGCACAGTTCCGCGA-1", "d15.data_CGTTAGAAGTTCACTG-1", "d15.data_GTACAGTAGCCAAGTG-1", "d15.data_ATCCATTGTCACTCGG-1", "d15.data_CACTGTCCACACGTGC-1", "d15.data_CGTGATACACCAAATC-1", "d15.data_GTTAGACCATACCGTA-1", "d15.data_ATCACAGAGACTCGAG-1", "d15.data_ATCCCTGGTGACAGCA-1", "d15.data_TTTACGTCAATCAAGA-1", "d15.data_ACCATTTTCTGACAGT-1", "d15.data_CAGATCATCCCTGTTG-1", "d15.data_TCTATCAAGGTTCAGG-1", "d15.data_AAACGCTAGACGAGCT-1", "d15.data_CTCCTCCTCGATGCAT-1", "d15.data_CGAGTGCAGATCGACG-1", "d15.data_GGTGATTGTACTGGGA-1", "d15.data_AAGAACAAGACTACCT-1", "d15.data_CGACAGCAGCGCCCAT-1", "d15.data_CAAAGAAGTAACATAG-1", "d15.data_CACGTTCTCGTAATGC-1", "d15.data_ACACGCGCATCTATCT-1", "d15.data_TACATTCTCACCTACC-1", "d15.data_CCAATGATCCGACGGT-1", "d15.data_AACCCAACATCGTCCT-1", "d15.data_TTCAATCCAGGTCAGA-1", "d15.data_CTGCCATCAGCATTGT-1", "d15.data_TCATATCCACAACGTT-1", "d15.data_ATCCATTCAAAGCACG-1", "d15.data_CTCCATGCAATCGCCG-1", "d15.data_ATGAAAGTCCTCACTG-1", "d15.data_GTCATGACAGCGGTTC-1", "d15.data_CCGTAGGCAGCAGACA-1", "d15.data_AAAGGATCACACGCCA-1", "d15.data_TGGTACAGTGAACTAA-1", "d15.data_TTGGGATCATGCGGTC-1", "d15.data_TCATATCCAGCAAGAC-1", "d15.data_CCGTTCACAGTCTCTC-1", "d15.data_ATGCCTCCAATCGCAT-1", "d15.data_GGGTGTCTCGTAACTG-1", "d15.data_CTACATTTCTTCGGAA-1", "d15.data_TATATCCTCGAACACT-1", "d15.data_TACACCCAGCTATCTG-1", "d15.data_CACGAATTCACGACTA-1", "d15.data_AAACGCTTCTGCAGCG-1", "d15.data_AGCTCAACACAAAGCG-1", "d15.data_AACAACCTCTACCCAC-1", "d15.data_ACCAAACAGTCATGCT-1", "d15.data_AGTACCACACAATCTG-1", "d15.data_TACGTCCGTAACGGTG-1", "d15.data_AAGAACAGTGCTGCAC-1", "d15.data_CGAATTGCAAGAGAGA-1", "d15.data_TAAGCGTAGCCACCGT-1", "d15.data_CAGCCAGCAATACCTG-1", "d15.data_AAACCCATCGATCCCT-1", "d15.data_ATTCAGGCAGAGTTCT-1", "d15.data_TCTCACGTCCCTTCCC-1", "d15.data_CTGCATCTCCTACGAA-1", "d15.data_CAACAGTGTGATTAGA-1", "d15.data_CAATTTCTCTGTCCGT-1", "d15.data_TAATCTCCAATGCTCA-1", "d15.data_GGGACAATCCCGTGAG-1", "d15.data_ACTTATCAGAGCTGAC-1", "d15.data_TGGTGATGTAGACTGG-1", "d15.data_TCATGCCCACCTGCTT-1", "d15.data_CGTGCTTAGTTTCGAC-1", "d15.data_AAATGGAGTTCCGTTC-1", "d15.data_ATGGGAGTCTGGACTA-1", "d15.data_CTCCAACGTAAGTTAG-1", "d15.data_GATTCGATCCCGAAAT-1", "d15.data_ACGTAGTCACCGTGGT-1", "d15.data_TCCTGCATCCTCATAT-1", "d15.data_AGTTCCCCAGGCACTC-1", "d15.data_TCAATTCTCATCTACT-1", "d15.data_ACAGCCGAGCAATTCC-1", "d15.data_TTCAGGACAGTCAGCC-1", "d15.data_AGACCATTCAGCTGAT-1", "d15.data_TCCTGCACACCGTACG-1", "d15.data_ACGGTCGAGTCACAGG-1", "d15.data_GATGGAGCAATACCTG-1", "d15.data_TGACGCGAGAATTCAG-1", "d15.data_TTACCGCTCTCCTGCA-1", "d15.data_GGTCACGCAAGTGGCA-1", "d15.data_TGTTACTAGCGCCTCA-1", "d15.data_GAGGCCTGTCGCATTA-1", "d15.data_AACCTTTTCGGCTGAC-1", "d15.data_GGTCACGTCACATACG-1", "d15.data_TCCTAATTCTGGCCAG-1", "d15.data_AACCACAGTAGTCCTA-1", "d15.data_AATTTCCTCGTTCCTG-1", "d15.data_TGGAACTCAAACCATC-1", "d15.data_GGTGTCGCACGGATCC-1", "d15.data_GAAGGGTTCAGCACCG-1", "d15.data_ATCGTGACACTACGGC-1", "d15.data_CTGCGAGTCGGATTAC-1", "d15.data_TCTCAGCTCCGTCACT-1", "d15.data_TACCGAAAGCGCCTAC-1", "d15.data_TCAGTGAGTCACTTAG-1", "d15.data_AACAACCAGACAGCTG-1", "d15.data_TACCCACCATTCAGCA-1", "d15.data_TGGGAAGTCTAACGGT-1", "d15.data_TCTAACTTCTGACCCT-1", "d15.data_GCCAGTGCAGAATGTA-1", "d15.data_GAGGGATAGCGAAACC-1", "d15.data_AGGTAGGGTCGGCTAC-1", "d15.data_CGCCATTTCTCACTCG-1", "d15.data_AGTCATGAGTAACGTA-1", "d15.data_TCACGCTTCACTGTCC-1", "d15.data_TTAGGGTCATCGTTCC-1", "d15.data_ACATCGACACAAGCCC-1", "d15.data_CCGGGTATCATACGAC-1", "d15.data_TGCTCCACAAACTAGA-1", "d15.data_AACAAGACAACAACAA-1", "d15.data_TCAAGACTCAAACCTG-1", "d15.data_TTCAGGAAGTTACGTC-1", "d15.data_GTGTCCTAGGGAACAA-1", "d15.data_GTAGTACAGGAATTAC-1", "d15.data_GGGAGTACATGGCGCT-1", "d15.data_CATGAGTTCCTTCACG-1", "d15.data_TTCCTAAGTTGTCAGT-1", "d15.data_TGGAACTGTTTGCAGT-1", "d15.data_TTCACGCGTTCGATTG-1", "d15.data_CAGATTGCACGGTGTC-1", "d15.data_CAACCAAAGTGACCTT-1", "d15.data_TTTATGCTCCAACCAA-1", "d15.data_TGATCAGTCCTACGGG-1", "d15.data_AGAAGTATCTGCGGCA-1", "d15.data_TCTACATAGGCCTAGA-1", "d15.data_GATGAGGGTAACATAG-1", "d15.data_CCTACGTTCTAAACGC-1", "d15.data_CATAGACTCAATCAGC-1", "d15.data_ACCATTTTCCTTTGAT-1", "d15.data_ACGATCATCGTTCATT-1", "d15.data_TCCATGCTCTTGGGCG-1", "d15.data_TGATTTCTCATTCCTA-1", "d15.data_CCAATGAGTTTCCAAG-1", "d15.data_TATCCTACACCGTCGA-1", "d15.data_TACGCTCGTCACCGAC-1", "d15.data_AGGGCTCGTAGCCCTG-1", "d15.data_GATCCCTTCGTGCACG-1", "d15.data_AGTTAGCAGCGGATCA-1", "d15.data_CAGATACTCGAACGCC-1", "d15.data_GTGGAAGGTACCTTCC-1", "d15.data_AACAAGAAGGTTCACT-1", "d15.data_TGTAGACGTATTTCCT-1", "d15.data_GTCTTTAGTAGCGTAG-1", "d15.data_TACAACGGTCGTTGCG-1", "d15.data_ATCTTCACATGCAGGA-1", "d15.data_TTCCTCTGTGCTGATT-1", "d15.data_TGAGCGCCAGTAACCT-1", "d15.data_CACGTTCGTGCTTATG-1", "d15.data_GGGTATTGTGTCGATT-1", "d15.data_ATCCCTGGTATCCCTC-1", "d15.data_AATGCCAGTATTGACC-1", "d15.data_CGTTAGAAGTCGCTAT-1", "d15.data_ACCCTCAGTTACCGTA-1", "d15.data_GTGTAACAGATGAAGG-1", "d15.data_GAAGTAAAGTATAGAC-1", "d15.data_TGATGCAGTCGGTGAA-1", "d15.data_TAGGGTTTCTCGCAGG-1", "d15.data_TTCTTGATCGAGTCCG-1", "d15.data_GGTTGTAGTCTGATAC-1", "d15.data_CCGATCTCACATATCG-1", "d15.data_CATACTTAGTAGTCAA-1", "d15.data_TTTACGTAGAAGTCTA-1", "d15.data_GATCAGTTCTTTGCAT-1", "d15.data_CTCAGTCGTTGCGAAG-1", "d15.data_ACTTTGTGTAACGCGA-1", "d15.data_TCCATGCAGAAGCTGC-1", "d15.data_CCCGAAGCACCACATA-1", "d15.data_TCAAGACAGCCTGACC-1", "d15.data_GTCTAGAGTGCATGAG-1", "d15.data_CATTTCATCCAAACCA-1", "d15.data_CATTCTAAGAAGCGGG-1", "d15.data_AGACCATCATCTCCCA-1", "d15.data_TGTGAGTAGTATGGCG-1", "d15.data_AAGTTCGAGCTCATAC-1", "d15.data_TTTGTTGAGGGCAGAG-1", "d15.data_CGAAGGATCGTCTCAC-1", "d15.data_CCAATTTGTAAGCAAT-1", "d15.data_TTACCATCATTGCAAC-1", "d15.data_CGAAGGACATCTGGGC-1", "d15.data_TGGAGAGAGCCACAAG-1", "d15.data_GAGTTGTGTCACCGCA-1", "d15.data_AAGCGAGGTACCTAAC-1", "d15.data_GGGTCACGTATGTCAC-1", "d15.data_GAGTGTTTCTCTCGAC-1", "d15.data_CTTACCGCAGACTCTA-1", "d15.data_CAGCACGGTCCTACGG-1", "d15.data_CTACGGGAGACATAGT-1", "d15.data_TTTCATGGTAGAAACT-1", "d15.data_ATTCATCCATACTTTC-1", "d15.data_CATTGTTCACGTGAGA-1", "d15.data_TCTATCAAGCGTGAGT-1", "d15.data_TCATGTTAGTCTTCCC-1", "d15.data_CTAGGTATCTGCTTTA-1", "d15.data_AGGGTGAGTAGGCTGA-1", "d15.data_ACTCTCGTCCGACATA-1", "d15.data_TCTACATGTCCTTAAG-1", "d15.data_GTGGAAGGTTTCCAAG-1", "d15.data_TAGGTTGTCCGATAAC-1", "d15.data_AGCTCAAGTTACCTGA-1", "d15.data_CATCGTCCATCGAACT-1", "d15.data_GCTCAAAAGCCGGATA-1", "d15.data_AGTGCCGCACCTCTAC-1", "d15.data_GAATAGAAGTCCTGTA-1", "d15.data_TCCATCGTCAGGACGA-1", "d15.data_AGGTCATCAGCAGGAT-1", "d15.data_TCCTCGATCGACCCAG-1", "d15.data_TAACTTCGTCCTGAAT-1", "d15.data_ACCATTTCATACTTTC-1", "d15.data_ATGTCCCAGATTTGCC-1", "d15.data_GTTGTAGCACACAGCC-1", "d15.data_CACATGACATCCAACA-1", "d15.data_CGAATTGTCCACACCT-1", "d15.data_TGGAGAGAGATGCAGC-1", "d15.data_ATCATTCTCGGCCAAC-1", "d15.data_TGTTCCGGTCTACGTA-1", 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mode=\"umap\",\n", " gene_name=None,\n", " # save=True,\n", " # save_path=\"./waddington_potential_umap_potential.html\"\n", ")" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "%{hovertext}

UMAP1=%{x}
UMAP2=%{y}
Waddington Potential=%{z}
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"iM.data_CCGTTCATCGCTAGCG-1", "iM.data_TGTAAGCGTCGTTGCG-1", "iM.data_TACGGGCTCTGAGAAA-1", "iM.data_CATCGGGTCACGTCCT-1", "iM.data_CAGCAATAGCTCCATA-1", "iM.data_TGAATCGGTAATGTGA-1", "iM.data_AAGACAAAGCGACTTT-1", "iM.data_TAAGCGTGTGGTCTAT-1", "iM.data_TTCATTGTCTATACGG-1", "iM.data_ATCATTCAGGAGATAG-1", "iM.data_TTACTGTTCCGATAGT-1", "iM.data_GTGGCGTGTTCTTGCC-1", "iM.data_CAGCGTGTCTCTCAAT-1", "iM.data_AGGGTTTAGTCAAGCG-1", "iM.data_TATTGCTGTCGCATGC-1", "iM.data_CTCTCAGAGTTGGACG-1", "iM.data_CTTGATTCAAATGGAT-1", "iM.data_GTTGTGATCCGAGATT-1", "iM.data_GCGATCGGTCGTGCCA-1", "iM.data_GGAGAACAGGTGATAT-1", "iM.data_GTAATGCGTGATACAA-1", "iM.data_CGGGCATTCATTTGTC-1", "iM.data_GCCGTGATCTACGGGC-1", "iM.data_GAATAGAGTGTCCATA-1", "iM.data_AATCACGTCTCGCAGG-1", "iM.data_CTTCAATTCAGGACAG-1", "iM.data_CTCCGATGTGGGCTCT-1", "iM.data_AGCGTCGAGATGTTAG-1", "iM.data_TTGCGTCGTACCACGC-1", "iM.data_ATCATTCGTGTGATGG-1", "iM.data_TGCGATAGTTGTGTTG-1", "iM.data_GAAGCCCCAAGGTACG-1", "iM.data_CGGAACCAGATGGTAT-1", "iM.data_TAACCAGCAAGGCGTA-1", "iM.data_AATCACGGTAATTAGG-1", "iM.data_AATAGAGTCCTTCAGC-1", "iM.data_ACCTGTCGTGCCTATA-1", "iM.data_TATTGGGGTGGGATTG-1", "iM.data_TTGCGTCTCTGCTTAT-1", "iM.data_GTCGTAATCGAGGCAA-1", "iM.data_TGTAACGAGTGGTTGG-1", "iM.data_TGTGCGGTCAGAGCAG-1", "iM.data_CTGGACGTCAGCTTGA-1", "iM.data_TCCGTGTCACGAAAGC-1", "iM.data_AAGATAGAGTCTGCAT-1", "iM.data_TGGAGGAGTTTGTGGT-1", "iM.data_GGAGATGGTCTTCATT-1", "iM.data_TTCGGTCCAGAATCGG-1", "iM.data_CGGAATTCAGCGTTTA-1", "iM.data_GTCGTTCGTGGTCAAG-1", "iM.data_TAGATCGTCTCACGAA-1", "iM.data_GTGTTCCAGCTACAAA-1", "iM.data_TTGGGCGTCTGTTGGA-1", "iM.data_GTGTGATAGCGACATG-1", "iM.data_GTGCTGGAGCTGAGTG-1", "iM.data_GTCGAATAGATCGCTT-1", "iM.data_TGAGGAGAGCCTGCCA-1", "iM.data_GGGTTATTCTATACGG-1", "iM.data_AGAACCTTCGGAGATG-1", "iM.data_GTTACAGAGTTGGACG-1", "iM.data_GAATCGTGTCCCAAAT-1", "iM.data_ATCACTTAGAGAATCT-1", "iM.data_CTCCCTCCAACGGGTA-1", "iM.data_TGCTTGCGTCATGGCC-1", "iM.data_CGCATGGCAACCGCTG-1", "iM.data_TAACTTCGTAGCGATG-1", "iM.data_CTCATCGGTTGTGGCC-1", "iM.data_TCGTGCTTCCTGTAGA-1", "iM.data_TCAAGACGTTATGTGC-1", "iM.data_AAGATAGAGGTGCTTT-1", "iM.data_GCGTGCAGTGGTTTGT-1", "iM.data_TCACTATAGAATCGCG-1", "iM.data_TGTTTGTAGAGTTCGG-1", "iM.data_TGCACGGTCTAAACGC-1", "iM.data_ATGGGAGAGTCCTGCG-1", "iM.data_GCATGATAGGCTAACG-1", "iM.data_CTGAGGCGTAATGCGG-1", "iM.data_CTCTCAGAGTAGGTTA-1", "iM.data_AGAAGCGGTATCGGTT-1", "iM.data_CCTATCGCATGAGGGT-1", "iM.data_CTGCATCGTTGGAGAC-1", "iM.data_CACCGTTGTAAGGTCG-1", "iM.data_TCAGGTAAGTAAATGC-1", "iM.data_ATCTCTAAGTGTGTTC-1", "iM.data_CGAGTTACACATCCCT-1", "iM.data_GTTGTAGGTTATGTGC-1", "iM.data_TCAAGACTCTACTGAG-1", "iM.data_TTTAGTCTCTGTGCAA-1", "iM.data_CGTAGTAAGCCACCGT-1", "iM.data_TCAAGCATCCATAGAC-1", "iM.data_GGAGAACCATACCAGT-1", "iM.data_GTTCTATCAATTGAAG-1", "iM.data_GCGATCGGTGAACCGA-1", "iM.data_CATCCGTAGAGCCGAT-1", "iM.data_CGTTCTGTCGTGTGGC-1", "iM.data_CGATGGCCACCGAATT-1", "iM.data_CACACAAAGTATGAAC-1", "iM.data_GGGAAGTGTTGTGGAG-1", "iM.data_GTGTAACCATTGAAGA-1", "iM.data_CCTTCAGAGTCGAGGT-1", "iM.data_ATTTCACCATTCCTAT-1", "iM.data_CACTTCGAGAACGTGC-1", "iM.data_ACGTAGTGTTCCACGG-1", "iM.data_TTTCAGTGTCTTCAAG-1", "iM.data_GAATAGACAGCTCTGG-1", "iM.data_AAAGTGATCCGTGTAA-1", "iM.data_ATCGGATTCCTTTAGT-1", "iM.data_ACTATTCGTTAATCGC-1", "iM.data_AAGACAAAGTCATCGT-1", "iM.data_GATGGAGCAGTAGAGC-1", "iM.data_CCTCCAAGTGTATACC-1", "iM.data_AGGGCTCAGACAACAT-1", "iM.data_ACTATCTAGGTTAAAC-1", "iM.data_TCATGGAAGCCGTCGT-1", "iM.data_TCTGGCTAGGAGGGTG-1", "iM.data_CGGGTGTGTCACAGTT-1", "iM.data_ATCGTCCCAGTCCGTG-1", "iM.data_GCCATGGAGGATACAT-1", "iM.data_CCTGCATCATTCTGTT-1", "iM.data_AGATCGTAGGGTACGT-1", "iM.data_TGTTCCGAGTACGAGC-1", "iM.data_CCACGAGGTATACGGG-1", "iM.data_ATATCCTGTCGTGGTC-1", "iM.data_GAGTTGTAGGCACCAA-1", "iM.data_CGATGCGGTCTGGTTA-1", "iM.data_TCGTAGATCCATCCGT-1", "iM.data_ACCTGAACACGTGAGA-1", "iM.data_TATCTTGAGCCTTCTC-1", "iM.data_AGGAAATTCCCAGCGA-1", "iM.data_TCGGTCTTCATTACTC-1", "iM.data_AACACACGTGATAGAT-1", "iM.data_TGTCCCAGTGGTCAAG-1", "iM.data_ATTACCTTCCATACAG-1", "iM.data_AGGTTGTGTGAACGGT-1", "iM.data_TCACACCAGAAGGCTC-1", "iM.data_CGTCAAACATATTCGG-1", "iM.data_ACAAAGAAGCCGAACA-1", "iM.data_CAATCGAAGGCATCGA-1", "iM.data_GCATCGGGTGGATGAC-1", "iM.data_GCATTAGAGATACATG-1", "iM.data_GGGTCTGGTCTGCATA-1", "iM.data_CACAGGCGTCGAATGG-1", "iM.data_TATCGCCAGCGTCGAA-1", "iM.data_GTCTACCCAACGACAG-1", "iM.data_TCAAGCAAGTGGTTCT-1", "iM.data_GCGATCGAGGTGATCG-1", "iM.data_TCGATTTAGAAGGTAG-1", "iM.data_GGGTGTCGTGGAACCA-1", "iM.data_GGGAGTATCCTTTAGT-1", "iM.data_GTTCGCTGTAACGTTC-1", "iM.data_ACGGGTCGTGCATACT-1", "iM.data_GGTGATTAGAAGTCTA-1", "iM.data_CAAAGAAGTCATAAAG-1", "iM.data_TACCTCGGTGTCCAAT-1", "iM.data_GTGGAGAGTCGTGATT-1", "iM.data_TAGGTTGAGCTGTACT-1", "iM.data_TGACAGTCATACAGCT-1", "iM.data_TCCGGGATCAAATAGG-1", "iM.data_ACTCCCAGTACGTGAG-1", "iM.data_TCGCTTGCACAGCCTG-1", "iM.data_TTTCACAAGATAGTGT-1", "iM.data_GAGTTGTGTTCCGCTT-1", "iM.data_CATTGAGGTAACGGTG-1", "iM.data_AGAGCAGGTCTGGTTA-1", "iM.data_TCTCAGCAGGCCTTGC-1", "iM.data_GAATCGTTCATTACTC-1", "iM.data_GTCGCGACACAGCCTG-1", "iM.data_TTTCACAAGCCGCTTG-1", "iM.data_TCACACCAGGTCGTAG-1", "iM.data_ACCGTTCTCGTGTTCC-1", "iM.data_GATTCTTCACCTGTCT-1", "iM.data_CAACGGCCAGCGTTGC-1", "iM.data_GTGGAAGGTAGCCAGA-1", "iM.data_TTCCAATTCGGCACTG-1", "iM.data_AGGGCTCTCTGAGGCC-1", "iM.data_AGAGAGCGTGGATACG-1", "iM.data_ATCGTAGGTCCATAGT-1", "iM.data_GCCAACGTCGGTGCAC-1", "iM.data_AGAAGCGTCCGCACGA-1", "iM.data_CATTCATGTTAGGGAC-1", "iM.data_CATAAGCCAGGTGTTT-1", "iM.data_ATCGTGACACTCAGAT-1", "iM.data_TCTGTCGGTAATACCC-1", "iM.data_CTACCTGTCAGTGTGT-1", "iM.data_AGGAGGTCAGAGGTAC-1", "iM.data_CCTCCAAAGTCGGCCT-1", "iM.data_TTGTTCAGTCGAGTTT-1", "iM.data_AGGTTGTGTGTTACTG-1", "iM.data_AGATCGTGTGTCACAT-1", "iM.data_TCCGTGTGTGACTAAA-1", "iM.data_AGGAAATTCCCTGGTT-1", "iM.data_TCGAAGTAGAGAACCC-1", "iM.data_TCGTGGGCAGGTGGAT-1", "iM.data_GGAGGTAAGTGTTGTC-1", "iM.data_TCGCAGGTCGCTCCTA-1", "iM.data_AAGTGAAAGATGACCG-1", "iM.data_CGTAAGTGTAACTGCT-1", "iM.data_CGTGAATTCCACTGGG-1", "iM.data_AGGGTGAGTGTCCACG-1", "iM.data_TCAGGGCAGGCCATAG-1", "iM.data_TTTCCTCTCTCATTTG-1", "iM.data_GACTTCCCAGTCCGTG-1", "iM.data_TCTGCCATCACAAGAA-1", "iM.data_TTACCATGTCAGTCCG-1", "iM.data_ATGGAGGTCAATGTCG-1", "iM.data_TGTAACGAGGATATGT-1", "iM.data_TCTTTGACAAGAGTGC-1", "iM.data_GCAACATGTGCCGTTG-1", "iM.data_TGTTCATTCAGTGCGC-1", "iM.data_GCTACCTGTTAAGGAT-1", "iM.data_TTTAGTCGTGATAGTA-1", "iM.data_TGATGCAGTTCATCGA-1", "iM.data_ATACCGAGTATCGTAC-1", "iM.data_TCATATCGTTTGTGGT-1", "iM.data_GTGGAGAGTAGTTACC-1", "iM.data_GATAGAAAGGCTTCCG-1", "iM.data_AGACAAAAGGTAGTCG-1", "iM.data_CGGGCATAGTCTTCCC-1", "iM.data_AAGTCGTGTTTCAGAC-1", "iM.data_TTACCATAGACATGCG-1", "iM.data_AGAAGTAGTGCTCGTG-1", "iM.data_ACTTCGCCAAGAGATT-1", "iM.data_GTCACTCAGAGGTTTA-1", "iM.data_GCCAGGTAGTGCTCAT-1", "iM.data_GTTAGTGAGGGTACAC-1", "iM.data_GCGTGCAGTGAATGAT-1", "iM.data_CGTGAATTCTGACAGT-1", "iM.data_ATCCGTCGTAGTTCCA-1", "iM.data_GTTCCGTTCTAGATCG-1", "iM.data_CTCAGGGCAGTCGAGA-1", "iM.data_ATTACCTCATGACGGA-1", "iM.data_CTGGTCTTCATGGAGG-1", "iM.data_GGCACGTTCTTCGGTC-1", "iM.data_CTGTATTCACTTTAGG-1", "iM.data_GAGATGGGTGGAATGC-1", "iM.data_CATTTCAGTTCCTAAG-1", "iM.data_CTGTGGGAGAATGTTG-1", "iM.data_TCTCACGGTAGACGTG-1", "iM.data_GTGGTTATCAGTGTCA-1", "iM.data_TGAGGGAAGGCTAACG-1", "iM.data_TATCTGTTCCTCAGGG-1", "iM.data_TTATTGCAGAAGTCTA-1", "iM.data_TTGTTGTGTGTGTCGC-1", "iM.data_TGAGGGAGTTGAAGTA-1", "iM.data_TCGTGGGGTTTACTGG-1", "iM.data_CAGGGCTAGCTAAATG-1", "iM.data_ACGTAGTAGGTAAACT-1", "iM.data_TCTCACGGTGAATAAC-1", "iM.data_GGTAACTAGATGAAGG-1", "iM.data_TATACCTGTGGATTTC-1", "iM.data_AACAAAGCAAGACAAT-1", "iM.data_CATCGTCAGTCATCCA-1", "iM.data_TGTTGGAGTTGCCTAA-1", "iM.data_GACCAATAGTTGGCTT-1", "iM.data_GAGCCTGGTAGTCGTT-1", "iM.data_CCACCATCAAGAGAGA-1", "iM.data_GAGACCCTCTATCGGA-1", "iM.data_GGGTTTAGTAGCGTTT-1", "iM.data_CAGCAATGTGCAACGA-1", "iM.data_GACTCTCCAGTATACC-1", "iM.data_CCGTTCAAGTGCCCGT-1", "iM.data_GGCGTCATCCATATGG-1", "iM.data_TCATGCCTCGCAAGAG-1", "iM.data_GGGCTACAGCCGATAG-1", "iM.data_ATCACGACAACCGTGC-1", "iM.data_AGCCACGCATCAGCGC-1", "iM.data_GTCTTTATCGCTACGG-1", "iM.data_TACAACGAGTAACAGT-1", "iM.data_CATGCTCAGTTTGGCT-1", "iM.data_CCCTAACTCGACGACC-1", "iM.data_ATCCTATAGGTCGTGA-1", "iM.data_AAACGAATCGCGGTAC-1", "iM.data_TTCCGGTCATGCAGCC-1", "iM.data_TTGGTTTAGTAGAGTT-1", "iM.data_GGGAAGTTCGGAGTGA-1", "iM.data_AGATAGAAGTAGGCCA-1", "iM.data_GTTGTAGGTTGCTCAA-1", "iM.data_TAACTTCGTGCTGATT-1", "iM.data_TGACGCGTCACTACGA-1", "iM.data_GAAGGGTCACAATGAA-1", "iM.data_CTGTAGATCATTCATC-1", "iM.data_TGTGAGTAGCCGATCC-1", "iM.data_TGAGTCAGTCGGAAAC-1", "iM.data_CATACTTGTAGAAACT-1", "iM.data_CAACGGCGTTACGATC-1", "iM.data_CATCGTCGTAGTCTTG-1", "iM.data_GATAGCTCAACAGATA-1", "iM.data_TATATCCGTTTGCAGT-1", "iM.data_GGGATCCGTTGTTTGG-1", "iM.data_TATTTCGAGGTAGATT-1", "iM.data_GTGGTTAGTGGTATGG-1", "iM.data_TTGCTGCTCAATGTCG-1", "iM.data_ACGCACGCAAAGGGCT-1", "iM.data_GGGTCACAGCAGTCTT-1", "iM.data_TGCATGAAGAAACACT-1", "iM.data_CCTGCATCAACCGCTG-1", "iM.data_CTACGGGGTAAGCTCT-1", "iM.data_CCTACGTGTGTCTCCT-1", "iM.data_AGTGACTGTGACTCTA-1", "iM.data_CAGATTGTCGAGTGAG-1", "iM.data_TGAGGTTGTTAGAAGT-1", "iM.data_TGTGGCGAGAATAGTC-1", "iM.data_GTTTGGAGTAGTGATA-1", "iM.data_CAAAGAAAGCCGTTAT-1", "iM.data_GGCTTTCGTGTCATCA-1", "iM.data_CCGTGAGAGAGCATAT-1", "iM.data_GCATCTCCATAGCACT-1", "iM.data_ACTTTGTAGGTGGTTG-1", "iM.data_TCATGAGAGGCGTTAG-1", "iM.data_TTGCGTCGTCTCACAA-1", "iM.data_CGAAGGATCAGCTGAT-1", "iM.data_TACTTGTGTAACACCT-1", "iM.data_GGATGTTAGATGCTTC-1", "iM.data_GAGGGTAGTTGGTGTT-1", "iM.data_CAAGGGATCCCAAGCG-1", "iM.data_CTGAGGCGTCTGTTAG-1", "iM.data_AACTTCTCAGCTCGGT-1", "iM.data_GGCAGTCGTGGCAACA-1", "iM.data_TAGAGTCCAGCACACC-1", "iM.data_GACGTTATCGCTAGCG-1", "iM.data_CGTCAAAAGAGTTGAT-1", "iM.data_GTCGTAACATTGCTGA-1", "iM.data_GGAGGATAGATGCTAA-1", "iM.data_CTCCGATGTCGCAGTC-1", "iM.data_TTGATGGAGGCTCTAT-1", "iM.data_GATTCGAAGACACACG-1", "iM.data_TTAGGCAGTCGATTAC-1", "iM.data_TGGGCTGAGCAAGTCG-1", "iM.data_CGTAATGGTTAACAGA-1", "iM.data_ACGTCCTGTCTTGAAC-1", "iM.data_TCGGGCATCATCGTAG-1", "iM.data_CAAAGAAGTCATCCCT-1", "iM.data_ACACAGTCAGTGTGCC-1", "iM.data_TCGGTCTGTTAAGTCC-1", "iM.data_TATCAGGTCTACCCAC-1", "iM.data_TTGGGTAAGTGCTCGC-1", "iM.data_CGCAGGTCAGACACAG-1", "iM.data_ACGATCAAGTTGCGCC-1", "iM.data_GTCATTTGTACAAACA-1", "iM.data_GTTCTATCAGCTCGGT-1", "iM.data_CGTTCTGAGAGGATGA-1", "iM.data_TACTTCATCATCACAG-1", "iM.data_GAGTTACGTAAGGAGA-1", "iM.data_GTTGCGGAGGGATGTC-1", "iM.data_GTCTTTAAGGACGGAG-1", "iM.data_CTCTCAGAGCACTCGC-1", "iM.data_GTAGCTAGTCTTCGAA-1", "iM.data_AGTTAGCAGGAAAGAC-1", "iM.data_TGGTGATAGCGTATAA-1", "iM.data_GGTAGAGTCGGTCGGT-1", "iM.data_TGTTGGACATACTGTG-1", "iM.data_CTACCTGGTTTCGTAG-1", "iM.data_GGTTCTCGTGTTAACC-1", "iM.data_ATCCACCGTCTCGGGT-1", "iM.data_CACTGAATCTATTTCG-1", "iM.data_ATCGGATGTATGTCTG-1", "iM.data_TCTATACGTTGTCAGT-1", "iM.data_CACTGGGAGGCAATGC-1", "iM.data_GTCGTAAAGGTCATCT-1", "iM.data_CACCGTTTCGTGGTAT-1", "iM.data_ACCATTTGTAACTAAG-1", "iM.data_CATCCGTTCAGCGCGT-1", "iM.data_TTTCCTCAGGTCGCCT-1", "iM.data_ACCGTTCAGCGAGTCA-1", "iM.data_TAGACCAGTACTGCGC-1", "iM.data_AGTCAACTCAAGAGTA-1", "iM.data_TTAGGCAGTTCGTAAC-1", "iM.data_ATCGATGAGAAGTGTT-1", "iM.data_GATTGGTAGAACTGAT-1", "iM.data_CAGCAGCCAGTGTGGA-1", "iM.data_ATCGTCCTCATCTGTT-1", "iM.data_TGAGCATGTCATCGCG-1", "iM.data_CCGGTAGAGCCTCTTC-1", "iM.data_TATACCTAGCGGTAAC-1", "iM.data_TTGGATGGTTCAGGTT-1", "iM.data_CTAAGTGCAGGGAGAG-1", "iM.data_TTCGGTCTCACTGGGC-1", "iM.data_CAAAGAAGTGTTAACC-1", "iM.data_TTGAGTGGTAGTCGTT-1", "iM.data_CATCGGGAGATTAGTG-1", "iM.data_TGCTCGTAGATGTTGA-1", "iM.data_GTGTTCCCAGTTGTCA-1", "iM.data_TTCCTAAAGTGGAAGA-1", "iM.data_TGAGGTTGTCTGTGAT-1", "iM.data_GTCATCCCAGAGACTG-1", "iM.data_CCTTGTGGTTCGTACA-1", "iM.data_ATTGTTCCAAGCTGTT-1", "iM.data_AAGTTCGTCGGCTTGG-1", "iM.data_TGTTCATAGATTGTGA-1", "iM.data_GAGGCAAAGTGCAACG-1", "iM.data_CGGAGAACACGTTCGG-1", "iM.data_GCGATCGAGATAGTGT-1", "iM.data_GTGGGAAGTGGTTCTA-1", "iM.data_TGGATCATCAGTGCGC-1", "iM.data_GGAATGGTCTGTTGGA-1", "iM.data_ACCATTTGTGTAACGG-1", "iM.data_TATTGGGTCGCCTATC-1", "iM.data_GTTTGGAGTTGGGACA-1", "iM.data_CTGATCCAGTATAACG-1", "iM.data_TCTCTGGGTACAACGG-1", "iM.data_TTTATGCTCAAGAAAC-1", "iM.data_GTCATGACATGCGTGC-1", "iM.data_AGGAGGTCAGATCCAT-1", "iM.data_GTTGTCCAGTCGAATA-1", "iM.data_CTGTGAAGTTGGACCC-1", "iM.data_ACTTTCAAGACGCTCC-1", "iM.data_TCACATTCAAAGCGTG-1", "iM.data_CGGAACCCACCCAATA-1", "iM.data_GTTGCTCTCGACGCGT-1", "iM.data_TCGATTTGTCCGGATC-1", "iM.data_ACTGTGATCGTAGCTA-1", "iM.data_CCAATGAGTGATCGTT-1", "iM.data_AACCAACAGTCTACCA-1", "iM.data_ACGTAGTTCGTCGACG-1", "iM.data_GGGATCCTCCGTGTGG-1", "iM.data_CTGCGAGGTCAGTCCG-1", "iM.data_TGCACGGCACAGTCCG-1", "iM.data_AACGAAATCGTTCGCT-1", "iM.data_TAGACCACATTATGCG-1", "iM.data_GTAACACGTCAAAGAT-1", "iM.data_CATCGTCCAGTTCTAG-1", "iM.data_GCCAGGTGTGCTTCAA-1", "iM.data_TATCCTAGTGGTCAAG-1", "iM.data_TAAGTCGGTCACTTAG-1", "iM.data_AGGTAGGGTTGCCAAT-1", "iM.data_GTCGAATCAATCAGCT-1", "iM.data_TGCTCGTTCAGAGCGA-1", "iM.data_CCGGACAAGGGTAGCT-1", "iM.data_ACAGCCGTCTATTGTC-1", "iM.data_TGCGACGCAGTGTATC-1", "iM.data_TTGCTGCGTCCCTAAA-1", "iM.data_CTCATTATCGACCACG-1", "iM.data_ACAGCCGCAGCGTATT-1", "iM.data_CAGATCAAGCTAGAGC-1", "iM.data_AGTTCGATCTCTTCAA-1", "iM.data_GACTATGCAGCTTCGG-1", "iM.data_GGTCTGGCACAGTCGC-1", "iM.data_ACTATTCAGCTATCTG-1", "iM.data_TCCGAAAGTCTACAGT-1", "iM.data_TCGACGGCATAACGGG-1", "iM.data_TGCTTCGTCCGCAACG-1", "iM.data_TATCCTAAGATAGGGA-1", "iM.data_GAAGCCCCAGACCAAG-1", "iM.data_GCCGTGAGTAATCAGA-1", "iM.data_CAAGGGATCTTCCGTG-1", "iM.data_ACCCTCATCGTAGGGA-1", "iM.data_GAGACTTTCTAGTACG-1", "iM.data_CATGCAAAGGTTACAA-1", "iM.data_GCACTAATCAGCTGTA-1", "iM.data_CAACCAAGTGATACAA-1", "iM.data_TCGGGACCATGCCATA-1", "iM.data_ATGGTTGAGCACACAG-1", "iM.data_TGAACGTAGCCAGTAG-1", "iM.data_TTGTTGTCAATGTTGC-1", "iM.data_AGTAGTCGTGCCAAGA-1", "iM.data_TTCTCTCGTGTATTGC-1", "iM.data_TCGCTCAGTTGTGTTG-1", "iM.data_CGGGTGTAGTGGTGGT-1", "iM.data_TCGTAGACACAAACGG-1", "iM.data_TGGGCTGGTTCATCTT-1", "iM.data_AGTAGTCGTCTTGCGG-1", "iM.data_TGATGCACAGCTCCTT-1", "iM.data_TACGCTCTCTGTGCGG-1", "iM.data_GGATGTTCATATTCGG-1", "iM.data_GAGTCTAGTAGATGTA-1", "iM.data_CTAAGTGGTGTCACAT-1", "iM.data_GATTCGAAGCGTGAGT-1", "iM.data_TCAGTTTAGTCGGCCT-1", "iM.data_GGCTGTGTCACCACAA-1", "iM.data_TGTAGACTCTTGCAGA-1", "iM.data_CCGTTCAGTGAAGCGT-1", "iM.data_CTCCCAACAACAAAGT-1", "iM.data_TCATTTGGTGAAAGTT-1", "iM.data_TAACTTCAGGATTTGA-1", "iM.data_TTGAGTGGTGTGTGTT-1", "iM.data_TTGCCTGAGATTGACA-1", "iM.data_TCTGGCTCATATGCGT-1", "iM.data_TACCGAAAGAGTCTTC-1", "iM.data_TTTACGTCAGAACTCT-1", "iM.data_TTGCATTTCCAGTGCG-1", "iM.data_CGGGTGTTCCGCGATG-1", "iM.data_GAAGTAATCGCCTAGG-1", "iM.data_ATGACCAAGATTGGGC-1", "iM.data_CCTCACATCGATACTG-1", "iM.data_GCCGTGATCTGGGCAC-1", "iM.data_AGAGCCCGTTGGTACT-1", "iM.data_GAGTGAGTCGGTGCAC-1", "iM.data_GTAGAGGTCCATATGG-1", "iM.data_ACTACGAAGTCGCCCA-1", "iM.data_GTGTCCTTCTAGTCAG-1", "iM.data_CCATAAGAGAGTTGTA-1", "iM.data_TATCTGTCAGTTTCGA-1", "iM.data_GGAAGTGTCATAGCAC-1", "iM.data_AGGCTGCGTCCTCCTA-1", "iM.data_TGAGACTTCTGTCCGT-1", "iM.data_GAGAAATCATCCGAGC-1", "iM.data_GTCCCATCATTACTCT-1", "iM.data_AGCGATTTCGATAACC-1", "iM.data_GTTCGCTAGAGATTCA-1", "iM.data_TAGATCGGTTGACTAC-1", "iM.data_TAATTCCGTAAGGTCG-1", "iM.data_ATGTCTTGTGATACCT-1", "iM.data_CTGTAGACAGATAAAC-1", "iM.data_GATGATCAGATGACCG-1", "iM.data_TGAGCATCATCGTGGC-1", "iM.data_ATCTCTAAGAGGGTGG-1", "iM.data_AGAACCTAGATGCCGA-1", "iM.data_GTAATGCGTTTAGTCG-1", "iM.data_CGTGTCTAGACTTCAC-1", "iM.data_CCCTCTCAGTAACGTA-1", "iM.data_GTAACCATCCCAGGCA-1", "iM.data_AGGACTTGTGCTTATG-1", "iM.data_AGGTGTTTCAGCTGTA-1", "iM.data_GATTGGTGTCCGAAGA-1", "iM.data_ATTCATCTCGCAATGT-1", "iM.data_CGAATTGGTTACCTGA-1", "iM.data_CCACAAACACTCGATA-1", "iM.data_CTAAGTGAGTTTCGGT-1", "iM.data_CTTCCGACAGAGGTTG-1", "iM.data_ATGGGAGGTATGAAAC-1", "iM.data_ACAGAAACAGAACTAA-1", "iM.data_CAGAGCCGTGATAGTA-1", "iM.data_TTGAGTGTCTGGCCTT-1", "iM.data_ATGGTTGAGATGAAGG-1", "iM.data_ACACGCGGTGTTAAAG-1", "iM.data_TGCGACGTCGTTCTCG-1", "iM.data_GAAGCCCAGTCCCGGT-1", "iM.data_ATTACCTTCTCTGGTC-1", "iM.data_CTAGGTACATCCAACA-1", "iM.data_CAACAACCACGACGTC-1", "iM.data_ATGGAGGGTCGTCATA-1", "iM.data_CGTGCTTTCCTCATAT-1", "iM.data_CTGGACGTCTGAGAGG-1", "iM.data_TCAGTCCCAAGGCCTC-1", "iM.data_AGTACTGCAAGAGTTA-1", "iM.data_AGATGAAAGGTAGATT-1", "iM.data_AGATGCTTCTATGTGG-1", "iM.data_TCCGGGAGTAGTTACC-1", "iM.data_AAACGCTAGGCTAGCA-1", "iM.data_AACGAAAGTCATCGCG-1", "iM.data_TTGGGTAGTCTACACA-1", "iM.data_GTCTGTCCACGACAGA-1", "iM.data_TCGGGACAGGACAGCT-1", "iM.data_TGCGGCAAGAGCAGCT-1", "iM.data_AAAGAACGTAGACACG-1", "iM.data_CCTAAGAGTGATCGTT-1", "iM.data_CCCGGAAGTTTCACAG-1", "iM.data_GAATCGTAGTGACACG-1", "iM.data_GAGTTTGGTCGTGCCA-1", "iM.data_GCGTTTCTCCCACAGG-1", "iM.data_GTGCTTCCACAATGCT-1", "iM.data_GGTTAACGTTCCCACT-1", "iM.data_TTTCATGGTATCGTTG-1", "iM.data_CTCTCGAAGTTGGCTT-1", "iM.data_CCACGTTAGGGTTAGC-1", "iM.data_ATCACAGAGGGTAATT-1", "iM.data_ATCGTGAGTTGAGAGC-1", "iM.data_CTCCATGAGTGAGTTA-1", "iM.data_CGATCGGGTCCAGGTC-1", "iM.data_TAAGTCGAGGATGAGA-1", "iM.data_AAGCGTTTCCAGTGTA-1", "iM.data_GGATCTAAGCAGGCAT-1", "iM.data_CAGTGCGTCTACTGCC-1", "iM.data_ACCATTTGTAGGGAGG-1", "iM.data_CATCGGGGTCCCGTGA-1", "iM.data_GTTACGACAGCAGTTT-1", "iM.data_GTTACGAGTCGGTGAA-1", "iM.data_AGGGCCTTCACAAGGG-1", "iM.data_AGCGATTGTCCAGCGT-1", "iM.data_AAAGTCCCAAGTGGTG-1", "iM.data_CAAGCTATCCACGTCT-1", "iM.data_TGATCTTGTTCGTAAC-1", "iM.data_GCGAGAATCTCCGATC-1", "iM.data_TAACTTCCATAGATGA-1", "iM.data_ACATCGAGTAGACTGG-1", "iM.data_AGAAATGAGTCAACAA-1", "iM.data_CCACCATGTGGTCTTA-1", "iM.data_TGCGACGGTATTAAGG-1", "iM.data_TATTTCGGTAATCAAG-1", "iM.data_CATCGCTGTCCGACGT-1", "iM.data_AAGAACACATGCACTA-1", "iM.data_ATCATTCTCATGGCCG-1", "iM.data_TTGCGTCCACGTCATA-1", "iM.data_CCTCATGTCAGCAATC-1", "iM.data_TCGCAGGAGCACCGTC-1", "iM.data_CGTGATAGTGGGAGAG-1", "iM.data_TGTTGAGTCTATCGTT-1", "iM.data_GTTCTATGTGCCAAGA-1", "iM.data_AATGGCTAGTCGGGAT-1", "iM.data_GTAGTACAGGTTATAG-1", "iM.data_GTGGAAGAGTCATAGA-1", "iM.data_GAAGCCCAGTATGACA-1", "iM.data_AAGACAATCAGGCGAA-1", "iM.data_CCAAGCGTCATAGACC-1", "iM.data_ACTATGGGTCAAATCC-1", "iM.data_CGTTAGAAGAGTTCGG-1", "iM.data_AATGACCGTAACCCGC-1", "iM.data_GCGTTTCGTGGCGCTT-1", "iM.data_TACGTCCTCTGCTAGA-1", "iM.data_TTTGATCGTAAGTTGA-1", "iM.data_ACAGCCGTCTAGTGTG-1", "iM.data_CCGGACACACCTTCGT-1", "iM.data_AGGAATATCGATACAC-1", "iM.data_TCGGATATCTGTACAG-1", "iM.data_CCTCAGTTCAGGCGAA-1", "iM.data_TCCTCCCCAAACGTGG-1", "iM.data_GGTTGTATCCTCACTG-1", "iM.data_GTAGTACAGAACTGAT-1", "iM.data_AAAGGGCGTTGGTGTT-1", "iM.data_CTGAATGCAGACCAAG-1", "iM.data_GACGTTAAGTTGGACG-1", "iM.data_GTTAGTGTCTCATGGA-1", "iM.data_ACGTAGTTCGTCAGAT-1", "iM.data_AGAGCAGAGGTCGTCC-1", "iM.data_GGTAATCGTGATATAG-1", "iM.data_CATTGTTAGGAAGTCC-1", "iM.data_CAGCCAGAGTGGAAGA-1", "iM.data_AGACAAAAGGTATAGT-1", "iM.data_TACACCCAGATTGGGC-1", "iM.data_CGGAACCCAGCTTTGA-1", "iM.data_CGAGAAGTCCACTAGA-1", "iM.data_GTGATGTCATACTGTG-1", "iM.data_TGGTAGTAGAGGGTAA-1", "iM.data_ATTCTACAGAGCAAGA-1", "iM.data_GAACGTTGTCGGTAAG-1", "iM.data_ACCACAAAGTATGGAT-1", "iM.data_ATGTCTTGTCAAGCGA-1", "iM.data_GGAGGATAGATACTGA-1", "iM.data_TGTTCTAGTCGGTAAG-1", "iM.data_CTCGAGGCATTGCTGA-1", "iM.data_AACAAGAAGAGAGCCT-1", "iM.data_ATCGGCGCAGCGGTCT-1", "iM.data_ACGTAGTGTGAATTGA-1", "iM.data_ATGAGGGTCTATTCGT-1", "iM.data_GCCAGCAAGTATGCAA-1", "iM.data_GTCATGATCACCTGTC-1", "iM.data_CCGGGTATCATCGGGC-1", "iM.data_GTTACGAGTTGTATGC-1", "iM.data_TCCTTCTAGATAGGGA-1", "iM.data_TACTTGTTCTGTCCCA-1", "iM.data_GAGCCTGGTACTCGAT-1", "iM.data_GACAGCCTCCTTTGAT-1", "iM.data_CTGGTCTGTACGATTC-1", "iM.data_TGTGATGCAGGCTACC-1", "iM.data_CCGTGAGCAATACGCT-1", "iM.data_GTCAAGTAGAAGGATG-1", "iM.data_TTTGTTGGTTTGGGAG-1", "iM.data_AAACGCTGTGATGTAA-1", "iM.data_GTCATCCAGTTGCGCC-1", "iM.data_CAGTTAGGTTGTACGT-1", "iM.data_CACGGGTTCGGCGATC-1", "iM.data_GAAATGACACGCGTGT-1", "iM.data_TTGAACGTCCGCGATG-1", "iM.data_GTGTAACAGATTAGTG-1", "iM.data_CTCAATTTCGGTCTAA-1", "iM.data_CACGGGTGTAACTGCT-1", "iM.data_ACCATTTAGGGCTTCC-1", "iM.data_TTGTTCAGTAGGTAGC-1", "iM.data_TGAGGAGCAGTGTGGA-1", "iM.data_TTTCGATTCTGATGGT-1", "iM.data_GTATTTCGTTACCGTA-1", "iM.data_GACGCTGGTAACGGTG-1", "iM.data_ATCCTATTCTGCATAG-1", "iM.data_GAAGCCCCAACCCGCA-1", "iM.data_TCATTCAAGTACCGGA-1", "iM.data_ACTTCCGAGAGATGCC-1", "iM.data_ACGTTCCCAATCGCGC-1", "iM.data_CTTCAATCATTCAGGT-1", "iM.data_CCCTAACAGCCTGTCG-1", "iM.data_CTGGCAGGTCATCGGC-1", "iM.data_TTACTGTCAAAGGCGT-1", "iM.data_GGAAGTGGTTCAAGTC-1", "iM.data_CTTTCAAAGAAGGGAT-1", "iM.data_TGCTCGTAGGGTGGGA-1", "iM.data_AGGGAGTAGCTGAGTG-1", "iM.data_CGGAACCGTTTAGAGA-1", "iM.data_AACTTCTGTAGCACAG-1", "iM.data_CCCGAAGCAAGATGTA-1", "iM.data_GTCACTCGTCAACATC-1", "iM.data_TGCATGACAAGACCTT-1", "iM.data_CAGTGCGCAAGTGGGT-1", "iM.data_CTGGCAGGTGCTTATG-1", "iM.data_ATGAGGGCAGCAGTAG-1", "iM.data_TACAGGTAGACATGCG-1", "iM.data_ACAGAAACATGACGAG-1", "iM.data_GATCAGTCAATTTCGG-1", "iM.data_CATCGGGTCGGTCTGG-1", "iM.data_ACCAACAAGGAATCGC-1", "iM.data_GTCTACCAGTGGACTG-1", "iM.data_CACTGAACAGCTTCCT-1", "iM.data_TGGTTAGGTGTGAGCA-1", "iM.data_GTCACGGCATGTGACT-1", "iM.data_GCAGCTGTCACCTCTG-1", "iM.data_CGGAATTGTTCGGCTG-1", "iM.data_GCCAGTGAGGATGAGA-1", "iM.data_ATAGAGAGTAATCAAG-1", "iM.data_GTCATCCGTGTGAATA-1", "iM.data_CCGGTGACATTCCTCG-1", "iM.data_CCGGTGAGTCAGCGTC-1", "iM.data_GCCAGCAGTGAGATAT-1", "iM.data_GGTTAACGTCGTGGTC-1", "iM.data_GCTCAAAAGTGCAAAT-1", "iM.data_GTTGTCCCAAGTGGGT-1", "iM.data_CCGGTGACAGTTGCGC-1", "iM.data_ACACCAACAAGACGAC-1", "iM.data_CTATAGGGTCGACGCT-1", "iM.data_GACTGATGTAGCCCTG-1", "iM.data_GGGAAGTTCTGGCCTT-1", "iM.data_TGGGCGTCAGTTAGAA-1", "iM.data_CACTGGGTCCGCGATG-1", "iM.data_AAGGTAAGTTATGTCG-1", "iM.data_AAGTCGTTCGACTCCT-1", "iM.data_CTAGGTAAGGATATAC-1", "iM.data_AAGACTCCAGTCGCTG-1", "iM.data_GGTGTTATCTCGGCTT-1", "iM.data_GTCCCATAGCCTCTTC-1", "iM.data_ACGTTCCCACATATCG-1", "iM.data_TAACTTCAGGAGTATT-1", "iM.data_TGGGAGACAATAGTAG-1", "iM.data_CATACAGTCGGTCTAA-1", "iM.data_CAGCACGCATCATCTT-1", "iM.data_TGTTCTATCTAGTGTG-1", "iM.data_AACCTGAAGCGAGGAG-1", "iM.data_GAGAAATTCTCGAGTA-1", "iM.data_CTTCTAAGTGCCTATA-1", "iM.data_CCAAGCGCACTATGTG-1", "iM.data_TGTTTGTTCCTCCACA-1", "iM.data_TGGTTAGGTACAGCGA-1", "iM.data_CATACTTGTGTTAACC-1", "iM.data_CTACAGAAGAACAGGA-1", "iM.data_GTTCATTTCTTTCGAT-1", "iM.data_GAGGGTATCTCCCAAC-1", "iM.data_CCTAAGATCCACGTCT-1", "iM.data_GGTGTCGTCACGAACT-1", "iM.data_CAAGCTACAGAGCTAG-1", "iM.data_GAGTTTGCAGTCCCGA-1", "iM.data_GCATTAGCAGGGATAC-1", "iM.data_GCATCGGCACGACCTG-1", "iM.data_TTGGGATAGCGACCCT-1", "iM.data_AGGTTGTAGGGTACGT-1", "iM.data_TCGAAGTAGTGCCTCG-1", "iM.data_AGGTTACAGTAACGTA-1", "iM.data_GAATCGTTCGCTCCTA-1", "iM.data_ACGGTCGCAAGCACAG-1", "iM.data_ATTGGGTGTGGTCTGC-1", "iM.data_TGAGTCAGTAAGTCAA-1", "iM.data_TTACGTTAGGCCTAGA-1", "iM.data_CATCCACCATGGGTCC-1", "iM.data_CATTGCCTCTCGCTCA-1", "iM.data_AACCCAACACCTCGTT-1", "iM.data_CTTGATTGTCTTTCAT-1", "iM.data_GCCATGGTCGGAGTGA-1", "iM.data_CTGAGCGCAATAACCC-1", "iM.data_CTATAGGAGTACGAGC-1", "iM.data_CTGCGAGAGACAACAT-1", "iM.data_CTGTAGATCTCATTGT-1", "iM.data_GCTTGGGTCTATACGG-1", "iM.data_TATTGCTGTAAGTTGA-1", "iM.data_AATCACGTCTATTCGT-1", "iM.data_GACCGTGAGGACTGGT-1", "iM.data_TGGGAGACAAATGGAT-1", "iM.data_TCAGTGAAGGATCATA-1", "iM.data_CTCATTAAGTGATTCC-1", "iM.data_GGGATGAGTGTCGATT-1", "iM.data_CGTAGTATCTGCACCT-1", "iM.data_GGTCACGGTAATGCTC-1", "iM.data_TTTATGCGTATACCCA-1", "iM.data_GATGGAGCACCTGCTT-1", "iM.data_GGGTGAATCCAGTGCG-1", "iM.data_TCACTCGTCTACACTT-1", "iM.data_ACCGTTCAGGATTACA-1", "iM.data_GCGTGCACACAGAGAC-1", "iM.data_GGGATCCGTGTTCGTA-1", "iM.data_GCATCTCAGGAATGTT-1", "iM.data_GATAGAAGTCAAAGTA-1", "iM.data_AGCGTATAGCACTAGG-1", "iM.data_TAAGCACTCGTGTGGC-1", "iM.data_AGGTCATTCGAAGAAT-1", "iM.data_GTTATGGAGCAGGCAT-1", "iM.data_AATGCCAGTGTGATGG-1", "iM.data_TGCATGATCGCAGTGC-1", "iM.data_CACTGGGGTGGAAATT-1", "iM.data_CAAAGAAAGGCTTAGG-1", "iM.data_AGCGTATCATGGAAGC-1", "iM.data_GTTCGCTAGCGTCAAG-1", "iM.data_TCGCTCAAGGCTTAGG-1", "iM.data_TGCGGGTTCGTGACTA-1", "iM.data_GGCTTTCAGGTCGTAG-1", "iM.data_ACTTATCAGTGGAAGA-1", "iM.data_GTCATTTGTGACTAAA-1", "iM.data_CTAACCCCATGAAGGC-1", "iM.data_TTCACCGGTCGTATTG-1", "iM.data_GATTTCTGTGCCTGCA-1", "iM.data_TGCCGAGCAACCACAT-1", "iM.data_CTACGGGCATGCCGCA-1", "iM.data_TGGGTTAAGTGATAAC-1", "iM.data_GACATCAGTCGGATTT-1", "iM.data_TGGGCGTCAAGTGTCT-1", "iM.data_TGCAGTATCATTACTC-1", "iM.data_AGGATCTAGTGGTTGG-1", "iM.data_ATAGAGATCAGCTTGA-1", "iM.data_TGCTGAATCTACCAGA-1", "iM.data_CGAATTGAGAGTTGTA-1", "iM.data_GTTGCGGTCAGGTAAA-1", "iM.data_TGGAGAGAGAGGGTAA-1", "iM.data_GGACGTCTCCATTCAT-1", "iM.data_TCTTTGAAGAAGCGAA-1", "iM.data_CTTCTAAAGACTGAGC-1", "iM.data_CACTGGGAGGTACTGG-1", "iM.data_TAGCACAAGGATATGT-1", "iM.data_TGTGTGAAGATGGTCG-1", "iM.data_GCTTGGGCAATTGCGT-1", "iM.data_AATGACCGTTGCCGAC-1", "iM.data_CCGTAGGAGGAATGTT-1", "iM.data_TGTCAGAGTAGCTTGT-1", "iM.data_CATCCGTAGGTTACAA-1", "iM.data_GTTGCGGAGTAGACCG-1", "iM.data_CTCAAGAGTTGGACTT-1", "iM.data_CCTCACATCACCTTAT-1", "iM.data_GAAGGACAGTGTCATC-1", "iM.data_GTGTTCCCAACGGCCT-1", "iM.data_TAGGTACGTATGCAAA-1", "iM.data_ATTCCATGTCTCAAGT-1", "iM.data_GTGAGTTTCTCGTTTA-1", "iM.data_TGATGGTGTATTCCTT-1", "iM.data_GTGGCGTGTGGATACG-1", "iM.data_TGTCAGAAGCACAAAT-1", "iM.data_TGATTCTGTTGCAACT-1", "iM.data_AGTAGTCTCGAGTTGT-1", "iM.data_CCTGCATGTACAGTTC-1", "iM.data_TTTGGTTCATGTCGTA-1", "iM.data_GTTACAGGTTGCATAC-1", "iM.data_GAAGAATCAATCCTAG-1", "iM.data_GTAGAAAAGGTCTTTG-1", "iM.data_AATCACGTCTTCCTAA-1", "iM.data_TTCATTGAGAATCGCG-1", "iM.data_TGATTCTGTCGTCGGT-1", "iM.data_AGCGCCACATTGACCA-1", "iM.data_TGCCGAGTCTGGCCTT-1", "iM.data_TGTTTGTGTCCCTAAA-1", "iM.data_TAACTTCGTATCTCTT-1", "iM.data_TTCTTCCGTCCTACGG-1", "iM.data_TAAGTCGCATGGAACG-1", "iM.data_TGTTCCGTCTACTGAG-1", "iM.data_CGTGAATAGTAATACG-1", "iM.data_TACGCTCGTATGCTTG-1", "iM.data_ACTTTCACACACCTGG-1", "iM.data_CTTTCGGGTGTATTGC-1", "iM.data_AGTCAACGTCGTGGAA-1", "iM.data_GTCACGGGTGTGGTCC-1", "iM.data_TCTTCCTCAGAGGCTA-1", "iM.data_TCTATCAAGCTCTATG-1", "iM.data_CAGATACTCGTGGCTG-1", "iM.data_GTACAGTGTAACGATA-1", "iM.data_AACAGGGAGACTCTTG-1", "iM.data_AGCGTATGTTGATGTC-1", "iM.data_GAGACTTCATTGTGCA-1", "iM.data_TCTGCCAGTCTGTGTA-1", "iM.data_AAGTGAAGTGTGATGG-1", "iM.data_ACGATCAAGTCTGCAT-1", "iM.data_CTCCACAGTCACTGAT-1", "iM.data_GGGCTCACAATTGCGT-1", "iM.data_GGAAGTGGTTAGGGTG-1", "iM.data_TCAATCTCAGCGGATA-1", "iM.data_CTACGGGGTTTAGAGA-1", "iM.data_TCTACCGCAACTTCTT-1", "iM.data_GCCTGTTGTTCGGTCG-1", "iM.data_TTGTGGAGTGAATGAT-1", "iM.data_ACCCAAAAGTGGACGT-1", "iM.data_ACTTCGCGTTGCCAAT-1", "iM.data_AGTACCAAGGGTTTCT-1", "iM.data_TGGTGATTCGCTGATA-1", "iM.data_TTCAGGAAGTCATACC-1", "iM.data_CATCAAGCATTGACTG-1", "iM.data_GACTATGAGTGATCGG-1", "iM.data_ATCCGTCCAGGAACCA-1", "iM.data_GAATAGAGTGGAAGTC-1", "iM.data_ACCCTTGTCATCGCCT-1", "iM.data_TATTGGGGTTGAGAGC-1", "iM.data_CCCGGAATCTATTGTC-1", "iM.data_TTCCTAACAGCGTATT-1", "iM.data_ATCAGGTTCGTGAGAG-1", "iM.data_GTCACGGTCCCATACC-1", "iM.data_CTGTGGGGTGTTCGTA-1", "iM.data_CAAGGGAAGAGCAAGA-1", "iM.data_GAATAGACAGACAAAT-1", "iM.data_CGGGTCAGTATCACCA-1", "iM.data_GTTAGACTCACAATGC-1", "iM.data_ATGAGGGAGTTACGAA-1", "iM.data_AGTACTGAGGGCCTCT-1", "iM.data_GATCGTAGTATTGACC-1", "iM.data_AGGTAGGTCAACGCTA-1", "iM.data_GAATCGTTCGCAGTTA-1", "iM.data_TGACAGTAGAGTTGAT-1", "iM.data_TCATTGTCAACTTGCA-1", "iM.data_CATCGTCGTTGTAAAG-1", "iM.data_TACCCGTTCTGCCTGT-1", "iM.data_CACCGTTAGACGGAAA-1", "iM.data_ACAACCAGTGAGACGT-1", "iM.data_AAAGTGAGTTCAAAGA-1", "iM.data_AAAGGGCGTCTACATG-1", "iM.data_TATACCTAGACGTCCC-1", "iM.data_GCTACCTTCAAGCTGT-1", "iM.data_TCTAACTTCAAGAATG-1", "iM.data_ACGCACGTCTAGTGTG-1", "iM.data_CAAGGGATCCACGTCT-1", "iM.data_CTGCATCGTCCGCAGT-1", "iM.data_AGGTTACCAGAAATTG-1", "iM.data_AGCGCTGTCTGAGAGG-1", "iM.data_CTCTGGTCAAGAGTGC-1", "iM.data_CGTAAGTTCATTTGTC-1", "iM.data_TCAATTCTCGGCATAT-1", "iM.data_CTAACTTAGCAAGTGC-1", "iM.data_AAAGTCCAGCCATATC-1", "iM.data_CTCATCGGTGTGTGTT-1", "iM.data_CTAGACAAGATGTTAG-1", "iM.data_ACGTACAGTAGATTGA-1", "iM.data_ATTCTACAGCGATGGT-1", "iM.data_CGCATAACAAGTGGAC-1", "iM.data_GCCATTCGTACGAAAT-1", "iM.data_ATGGGAGGTTAAACCC-1", "iM.data_AAGGAATGTGGAAATT-1", "iM.data_GGAGGTATCTAGCCTC-1", "iM.data_TTTCACATCGGAACTT-1", "iM.data_GTGGGAAGTCGGATTT-1", "iM.data_CTGGCAGAGGTTATAG-1", "iM.data_GCTACCTGTGGGAGAG-1", "iM.data_TGGTGATTCCATTGGA-1", "iM.data_TATCTTGCAATGCTCA-1", "iM.data_GATAGCTAGTGTTGTC-1", "iM.data_ACTTCGCGTTCTCCCA-1", "iM.data_GGGATCCGTCCTGGTG-1", "iM.data_CCACGTTCAAGACCTT-1", "iM.data_GTGGTTATCGTGCGAC-1", "iM.data_CGAGTGCTCCGATCGG-1", "iM.data_TCTGCCAGTCAACATC-1", "iM.data_GGGTGAATCAGACAAA-1", "iM.data_CTCGAGGAGGGCTGAT-1", "iM.data_AGTGATCGTCGTTGGC-1", "iM.data_CACTAAGTCAGCAGAG-1", "iM.data_AACCATGAGTTGCGCC-1", "iM.data_ATCGTCCTCGCCAATA-1", "iM.data_GGGCTACTCTAACGGT-1", "iM.data_CGTAGTACAAGGAGTC-1", "iM.data_CACTAAGGTAGAGTTA-1", "iM.data_GGGCGTTGTTGTAAAG-1", "iM.data_TTTCACAGTTATCCAG-1", "iM.data_TTTGGTTCACCAGCGT-1", "iM.data_GTTATGGAGTTAGAAC-1", "iM.data_GTTTGGAAGGCATTTC-1", "iM.data_TTGCTGCAGACCCGCT-1", "iM.data_TTCGATTGTAAGGCTG-1", "iM.data_ATGCATGTCCTGGGAC-1", "iM.data_GAAGGACGTTAAGGGC-1", "iM.data_CGAAGTTTCTCACGAA-1", "iM.data_GTGAGGATCGTCTCAC-1", "iM.data_GAATAGATCCGTGTGG-1", "iM.data_TGTGTGAGTTCTTAGG-1", "iM.data_TCTCCGACAAACTCGT-1", "iM.data_CTCTGGTCACGACAAG-1", "iM.data_TACCTGCTCCTAAGTG-1", "iM.data_CATAAGCAGGCCTGCT-1", "iM.data_TTCCTAAGTCGGCACT-1", "iM.data_TCGAACACACGTCGGT-1", "iM.data_GCCAGCAGTGTTAGCT-1", "iM.data_CCCATTGAGGTCGTGA-1", "iM.data_GGGCGTTAGAGCTGAC-1", "iM.data_GAGATGGGTCAACCAT-1", "iM.data_GCAACATAGCCATTGT-1", "iM.data_TGGTACAGTACTGACT-1", "iM.data_CAGTGCGTCAGCTTGA-1", "iM.data_CGGCAGTGTGACGCCT-1", "iM.data_TTGCGTCTCCAAGGGA-1", "iM.data_GCACGGTCAGCCCAGT-1", "iM.data_TAGTGCAAGCTAGAGC-1", "iM.data_GCAGCCAGTAGGACCA-1", "iM.data_GAGGGTATCCACAGCG-1", "iM.data_GGTAACTGTCGTCAGC-1", "iM.data_GATCAGTCAGAGGACT-1", "iM.data_CTCATTAGTGGCTCTG-1", "iM.data_ATCAGGTGTTTGTTGG-1", "iM.data_TGAATCGCAGGGCTTC-1", "iM.data_GAGACTTAGGCCACCT-1", "iM.data_TACCTGCAGGATATAC-1", "iM.data_TTCGATTGTTGCGTAT-1", "iM.data_GGGAAGTGTACTCCGG-1", "iM.data_GGAGGATAGTTCTACG-1", "iM.data_AAAGAACAGAGAATCT-1", "iM.data_TACATTCGTCCTGGGT-1", "iM.data_TTTACTGGTCACCGCA-1", "iM.data_AGTAGCTCACATGGTT-1", "iM.data_GTCCCATCATAACTCG-1", "iM.data_TACTTACCAGGTTCGC-1", "iM.data_GTGCAGCAGACCTGGA-1", "iM.data_CATTCATGTCGGTGTC-1", "iM.data_GGGAAGTTCTAGAACC-1", "iM.data_TGTGATGAGAAACTAC-1", "iM.data_GTGTCCTGTATCGGTT-1", "iM.data_GGATCTAGTAACATGA-1", "iM.data_ACTGTCCAGTGGGAAA-1", "iM.data_AGAAGCGGTAGACGTG-1", "iM.data_GAAGCGATCTCTTAAC-1", "iM.data_GCAGGCTGTGACTAAA-1", "iM.data_TCTGCCACATAGGTAA-1", "iM.data_TTTCAGTTCTCTGAGA-1", "iM.data_GACTCTCAGTACGTCT-1", "iM.data_GGCGTCACAAATCGGG-1", "iM.data_TTTACTGAGTTGAATG-1", "iM.data_TATTGGGTCCGCGAGT-1", "iM.data_TCACTATGTACGACAG-1", "iM.data_GTAGCTAAGTCTGCGC-1", "iM.data_GGAGGTACAATTGCCA-1", "iM.data_CGCATGGGTACGTGTT-1", "iM.data_GATTCTTAGGTCCCGT-1", "iM.data_AGCGTATAGTCTTGGT-1", "iM.data_AGACAAAAGAGTCTTC-1", "iM.data_CTATCCGAGTGATAGT-1", "iM.data_TTAGTCTGTTGGGCCT-1", "iM.data_AGATAGAAGGCGAACT-1", "iM.data_ATTCAGGCAGGGAATC-1", "iM.data_AGTCACATCAGGACGA-1", "iM.data_CTAACTTAGTAGATCA-1", "iM.data_TTGGGATGTGCTCTCT-1", "iM.data_GTTATGGGTCGGCCTA-1", "iM.data_AGCATCACATCTGCGG-1", "iM.data_GCAGCCAAGCCTTTGA-1", "iM.data_CGAGAAGAGTTGAAGT-1", "iM.data_CCACTTGGTGTCATTG-1", "iM.data_GTGGAAGCATCCAATG-1", "iM.data_GGTAGAGAGTTGCGCC-1", "iM.data_AGGTAGGGTGATGTAA-1", "iM.data_CGGAATTTCAGGAAGC-1", "iM.data_AACCTTTGTGTGTTTG-1", "iM.data_AAGTACCTCGTGTGGC-1", "iM.data_GTTCGCTGTGTTCAGT-1", "iM.data_GTGTTAGCAGTGTACT-1", "iM.data_GCTTCACTCAGCGCAC-1", "iM.data_TGAGTCACATCGGCCA-1", "iM.data_CAATACGGTATTGCCA-1", "iM.data_TCGCAGGGTTCCTTGC-1", "iM.data_CAAGGGATCCTAAACG-1", "iM.data_CTACCCATCAGCATTG-1", "iM.data_GTCTGTCGTTGGTAGG-1", "iM.data_CTGGTCTCATACCAGT-1", "iM.data_CTAACTTTCATGAGTC-1", "iM.data_TGGAGGACACAACGTT-1", "iM.data_CTCTCGACAGTTGGTT-1", "iM.data_GTTGCTCTCTCTCTTC-1", "iM.data_ACACTGACAAGTTTGC-1", "iM.data_CTATCCGAGTGCCAGA-1", "iM.data_CCATCACAGGTTAGTA-1", "iM.data_GCGTTTCCAACAGAGC-1", "iM.data_CATCCGTGTGTACGCC-1", "iM.data_GTTGAACTCGGCATTA-1", "iM.data_GTCAGCGTCCTAGAGT-1", "iM.data_GGTTGTAGTAGGTAGC-1", "iM.data_GATCACAAGAAAGCGA-1", "iM.data_AGACCCGAGTCGCCAC-1", "iM.data_GTCTGTCGTGATTAGA-1", "iM.data_CCCGGAAGTATGCTAC-1", "iM.data_TGAGGTTGTATCCCTC-1", "iM.data_GCAACCGAGTGAGGTC-1", "iM.data_AAAGAACCAGCGTGAA-1", "iM.data_AATTTCCAGGTTCACT-1", "iM.data_TTGCTGCTCGATTTCT-1", "iM.data_TTGTGGATCTGCGGAC-1", "iM.data_GGCTTGGAGCACTAAA-1", "iM.data_GGGATCCAGTGCACAG-1", "iM.data_CAACAGTCAATCTGCA-1", "iM.data_TCTATCAAGAGTGGCT-1", "iM.data_TCTAACTAGGTGCTAG-1", "iM.data_CATTCTATCCTGTACC-1", "iM.data_AAGCGTTAGGGTGAAA-1", "iM.data_GTTGTAGAGTGAGTGC-1", "iM.data_TGAGTCAGTCGAAACG-1", "iM.data_CAAAGAACATCGTTCC-1", "iM.data_GTATTTCTCGGAGTGA-1", "iM.data_AATCACGGTTCTCCCA-1", "iM.data_CATAGACCAGCATGCC-1", "iM.data_TACCTGCTCATGAGAA-1", "iM.data_CTGCAGGGTGCCTGCA-1", "iM.data_TATTTCGCAAGGACAC-1", "iM.data_TCATTACGTTTCGTTT-1", "iM.data_AGCGTATGTACGTGAG-1", "iM.data_GTCCACTAGTTTGGCT-1", "iM.data_TTACCGCTCGCCGAGT-1", "iM.data_TGCGACGAGGTGCATG-1", "iM.data_TCACATTTCGATGCTA-1", "iM.data_TGTGTGACATGTGGCC-1", "iM.data_TTCCACGGTTAACCTG-1", "iM.data_ACAGAAAAGATGAAGG-1", "iM.data_TCGTAGACACCGAATT-1", "iM.data_TGTGGCGGTTAAACAG-1", "iM.data_TGTTCTAGTTTGTTGG-1", "iM.data_CCTAACCTCGAAGTGG-1", "iM.data_CGGGTGTGTGCACATT-1", "iM.data_CCACAAAAGTAGGCCA-1", "iM.data_AGAGCAGAGACGGTTG-1", "iM.data_GTTACCCCACGGCCAT-1", "iM.data_GTACAACGTGCCGGTT-1", "iM.data_GTCCCATTCGTCGCTT-1", "iM.data_AATCGACCAACCGGAA-1", "iM.data_CCTCTAGCATGAAGCG-1", "iM.data_AGTAGTCTCAGGCGAA-1", "iM.data_GACCCTTCACAACATC-1", "iM.data_AGGATAAAGAGACAAG-1", "iM.data_TTAGTCTGTACTGGGA-1", "iM.data_TCTCACGGTACACGTT-1", "iM.data_GTCATCCGTATAGGGC-1", "iM.data_AGGATCTGTTGGCCGT-1", "iM.data_TCTATCATCCTTCTAA-1", "iM.data_ACACGCGAGTAAACAC-1", "iM.data_TCCACCAGTGGAATGC-1", "iM.data_AACCTTTTCTTGCGCT-1", "iM.data_GTCATCCAGCCGTTGC-1", "iM.data_CGAATTGCAAGTCGTT-1", "iM.data_CGTAATGCACACTTAG-1", "iM.data_TCGCAGGGTCGAGCTC-1", "iM.data_GGGTGTCCAATAGGAT-1", "iM.data_TATCCTATCCGCGGAT-1", "iM.data_TGCGACGTCTATACGG-1", "iM.data_TGTAGACTCGTAACTG-1", "iM.data_GCAACCGGTGCGACAA-1", "iM.data_GTAACACGTCTTCTAT-1", "iM.data_AAAGGTAGTGTGTTTG-1", "iM.data_TCGGATAGTTGCTCGG-1", "iM.data_CACTGAACATCGATGT-1", "iM.data_CATCGCTCAAAGGCGT-1", "iM.data_CATGGATAGCGCCGTT-1", "iM.data_AAAGGTAGTGACCTGC-1", "iM.data_TCCTTTCGTTCAAGGG-1", "iM.data_GGGAGTACAGTCGCTG-1", "iM.data_TCACAAGTCCGGTAAT-1", "iM.data_AAGACTCGTTTAGACC-1", "iM.data_CCTCAACCACTAGAGG-1", "iM.data_AGTCTCCGTAGTCTTG-1", "iM.data_TTGGTTTTCACAAGAA-1", "iM.data_TTGAGTGGTTGCGAAG-1", "iM.data_TAGTGCATCCGTGGTG-1", "iM.data_TGAACGTGTGTATTGC-1", "iM.data_TTTACGTCATCCTTGC-1", "iM.data_TGATTCTAGGTAAACT-1", "iM.data_TGTTCCGGTATAGGGC-1", "iM.data_AACGGGATCTCGCTCA-1", "iM.data_GGAGGATTCCAGTGTA-1", "iM.data_TCGATTTCACTAGGTT-1", "iM.data_TTTCATGCAGTTACCA-1", "iM.data_CCCTAACAGGTTAAAC-1", "iM.data_GCATCTCAGGTCACAG-1", "iM.data_GCCATTCAGGTACTGG-1", "iM.data_CATTCTATCTGGGTCG-1", "iM.data_TTCCTCTCATCGGAGA-1", "iM.data_ACCTGTCGTGGCTTAT-1", "iM.data_AGACCATGTAGCGAGT-1", "iM.data_CTGGCAGGTCCCTCAT-1", "iM.data_TGTCAGATCAGACAAA-1", "iM.data_CATTCCGTCCGATGTA-1", "iM.data_CTTCCGAAGTTCACTG-1", "iM.data_AGTTCGACACCTTCGT-1", "iM.data_GCACGTGAGGTTGAGC-1", "iM.data_ATCGGATCAACTGAAA-1", "iM.data_AGGATCTAGGTTCTTG-1", "iM.data_GGCTTTCGTACCTATG-1", "iM.data_GAATCGTTCATTACGG-1", "iM.data_TGCTCCAAGGACTAAT-1", "iM.data_GCCCGAATCAAGGACG-1", "iM.data_AGGAAATAGAGTTGAT-1", "iM.data_TATTTCGAGAGAAGGT-1", "iM.data_CATTCATGTTTGTGGT-1", "iM.data_TAGGGTTGTACGTACT-1", "iM.data_ATCCGTCGTAGGTAGC-1", "iM.data_CCAATGAAGAAACTAC-1", "iM.data_GGGACTCGTCAAAGTA-1", "iM.data_GTGCAGCGTGATTGGG-1", "iM.data_ACAAGCTTCTCTGCCA-1", "iM.data_ACCTGAATCGAGATGG-1", "iM.data_ATCACTTAGTAGTCCT-1", "iM.data_ATCGCCTAGAGCGACT-1", "iM.data_CTTCTCTCAGTCTGGC-1", "iM.data_CGGGTGTCACGTAGAG-1", "iM.data_GCATCGGGTGCGGTAA-1", "iM.data_TGCAGGCGTAGTCTTG-1", "iM.data_TTCAATCGTAGGCAGT-1", "iM.data_GTAATCGGTTACCTGA-1", "iM.data_GGAAGTGCATAATCGC-1", "iM.data_CTGTAGACACTTCTCG-1", "iM.data_GGGCGTTGTCCTCCAT-1", "iM.data_GTGAGGAAGACCGTTT-1", "iM.data_CTTCAATCAAGACCGA-1", "iM.data_CTTCCTTGTGCCGTTG-1", "iM.data_CTATCCGTCCTGTTAT-1", "iM.data_AGATAGAAGCGATCGA-1", "iM.data_TTCGGTCCATTGCCTC-1", "iM.data_TGAGGGACAACCGTAT-1", "iM.data_CTATCTAGTTCGGTCG-1", "iM.data_GATGACTAGCAGTACG-1", "iM.data_CTGCATCCACCGGCTA-1", "iM.data_AGCTACATCCCTGGTT-1", "iM.data_AGCTTCCTCAACTGGT-1", "iM.data_CGGGACTAGCAATTCC-1", "iM.data_CATAGACGTACGCTTA-1", "iM.data_GTCTAGAGTCGCATCG-1", "iM.data_CTCCAACGTGATTAGA-1", "iM.data_GCGTGCAAGTAGCATA-1", "iM.data_CCCGGAATCCATACAG-1", "iM.data_TGGGTTAGTAGCTAAA-1", "iM.data_ATCACTTGTCGTAATC-1", "iM.data_TGAGGAGAGCGTTCAT-1", "iM.data_TGTGAGTGTCATCCCT-1", "iM.data_TTTGACTCATTCTGTT-1", "iM.data_TCGGGTGCACTTGGGC-1", "iM.data_AACGTCAGTGTGGACA-1", "iM.data_CACTGGGCATGTTTGG-1", "iM.data_GTAGAAAGTATCGTGT-1", "iM.data_CACTTCGAGAAATGGG-1", "iM.data_TGAACGTCAAGTGGAC-1", "iM.data_CCGAACGCAGCAAGAC-1", "iM.data_GGGATGAAGTATGACA-1", "iM.data_CGGGACTGTACGACAG-1", "iM.data_TCATTGTAGCGGGTAT-1", "iM.data_CTTCTAAAGCCTCATA-1", "iM.data_AGGGTGACACGTGTGC-1", "iM.data_GTGCGTGCACCTGATA-1", "iM.data_GTGGCGTCACGGGTAA-1", "iM.data_AGGTCTAGTGGCTCTG-1", "iM.data_TTGCGTCTCCTTCGAC-1", "iM.data_CTCACTGAGCTGTTCA-1", "iM.data_GAGGGTATCCTGGGTG-1", "iM.data_CTTGATTCATGCCGGT-1", "iM.data_CTTCTCTCAACGATCT-1", "iM.data_TCACGCTTCTACGGGC-1", "iM.data_AATGAAGGTCCCTGTT-1", "iM.data_ACATCGATCTGAGGTT-1", "iM.data_CATCCGTTCGGTAACT-1", "iM.data_CGCCATTAGGTATAGT-1", "iM.data_GTGTCCTCAAGGTTGG-1", "iM.data_GATTCTTCACGATAGG-1", "iM.data_GTAGTACGTGGGCTTC-1", "iM.data_GTGAGTTTCGCAGTTA-1", "iM.data_TACAACGAGCTCTATG-1", "iM.data_TTAGGCAGTTGACGGA-1", "iM.data_AGTACCAGTACGCGTC-1", "iM.data_GTAACCAAGTTGAAAC-1", "iM.data_TCCACGTAGGAACGCT-1", "iM.data_TTCTCTCTCCCAGCGA-1", "iM.data_CTGCTCAAGAAGATCT-1", "iM.data_ACATTTCTCTAAGAAG-1", "iM.data_AGTAACCCATGACGGA-1", "iM.data_GATCAGTAGAACTGAT-1", "iM.data_CATGCAACACGGGCTT-1", "iM.data_TCACTCGAGGATCACG-1", "iM.data_TCGCTCAGTGTTGACT-1", "iM.data_TACTTACTCAGGAACG-1", "iM.data_CCGTAGGAGGGCAATC-1", "iM.data_TAGTGCACACTCAGAT-1", "iM.data_GTGTGGCCAGCTGCCA-1", "iM.data_ATAGAGAGTTACCTGA-1", "iM.data_GTATTGGGTTGCATTG-1", "iM.data_CGTGCTTGTGGCATCC-1", "iM.data_GTTTACTCAGGTTACT-1", "iM.data_AACCATGTCGCGCCAA-1", "iM.data_GAACTGTCAATTCTTC-1", "iM.data_TGCAGATAGGTGATAT-1", "iM.data_TATCTTGTCTGTGTGA-1", "iM.data_CGATGCGTCCCACAGG-1", "iM.data_ACTTCCGAGCTCGACC-1", "iM.data_TCAGCAAGTGTCTTCC-1", "iM.data_CCCATTGCATTGGCAT-1", "iM.data_AATAGAGCAGGTACGA-1", "iM.data_TACTTGTAGGCCCGTT-1", "iM.data_ACATGCAAGCAGTAAT-1", "iM.data_AACGGGACACTCACTC-1", "iM.data_CCTCAGTGTGATCGTT-1", "iM.data_GTTACCCAGCGTGCTC-1", "iM.data_TTACAGGCACCAACAT-1", "iM.data_GAGGCCTGTCGAGCTC-1", "iM.data_TGTCAGAAGTTCTACG-1", "iM.data_TTACCATTCGCGTCGA-1", "iM.data_GTGTTCCGTCACTACA-1", "iM.data_TCATTACGTGCAACAG-1", "iM.data_AAGTTCGAGCAAACAT-1", "iM.data_CAGATACTCGTGCACG-1", "iM.data_ATTCACTCATTCGATG-1", "iM.data_TTACGCCGTCGACGCT-1", "iM.data_CTCCTCCGTTTAGTCG-1", "iM.data_TGGGCGTAGGATCATA-1", "iM.data_CCGATCTGTCAAAGAT-1", "iM.data_GAGTCATAGTTTCGGT-1", "iM.data_TGACTCCTCCCACAGG-1", "iM.data_CCATAAGAGGAGGTTC-1", "iM.data_TCATTACTCAGCACCG-1", "iM.data_GATTCGAAGCTGAAAT-1", "iM.data_GATCACAAGGATGCGT-1", "iM.data_GTTGTAGCAACGACAG-1", "iM.data_GGTTAACGTGCAACAG-1", "iM.data_GCAGTTATCCTGCTAC-1", "iM.data_CTAGACAGTATTCCGA-1", "iM.data_TTTGATCCAGGTCCCA-1", "iM.data_CAGATTGTCGGCCTTT-1", "iM.data_CCGGGTAGTCCATACA-1", "iM.data_TGTGATGGTTGCGGAA-1", "iM.data_CATCCGTAGCGCTTCG-1", "iM.data_ATCTTCAAGCTCGCAC-1", "iM.data_AGTACTGTCCCGAGTG-1", "iM.data_GGATCTATCCGATAAC-1", "iM.data_TTCACGCGTAGCGTAG-1", "iM.data_CAGCGTGCAAATGGTA-1", "iM.data_TGTGGCGGTGCCCACA-1", "iM.data_CACATGATCTTTGGAG-1", "iM.data_ACTATCTGTGGGCTCT-1", "iM.data_TGCTGAAAGCACGTCC-1", "iM.data_GAATAGATCCAATCTT-1", "iM.data_AGTTAGCAGGATAATC-1", "iM.data_ACTTATCGTATTTCTC-1", "iM.data_CATCGTCAGACCTGGA-1", "iM.data_GGGCCATCACTTTATC-1", "iM.data_CAGTGCGTCCACACCT-1", "iM.data_TCATTTGGTGAATATG-1", "iM.data_TTGGGATTCTGGGCGT-1", "iM.data_AATCGTGGTAGTCTTG-1", "iM.data_GTAGGAGAGTCATGGG-1", "iM.data_GTGCACGCACTCAGAT-1", "iM.data_TGTTACTAGCCGATTT-1", "iM.data_CTGATCCCAACGGTAG-1", "iM.data_TGCGACGGTGTGTTTG-1", "iM.data_GTCCACTCATCATGAC-1", "iM.data_CTCTGGTTCAATCTTC-1", "iM.data_CACGGGTGTCTGGTTA-1", "iM.data_ATTTCTGAGCATATGA-1", "iM.data_AGAAATGCAGTTTGGT-1", "iM.data_GAACGTTTCTGAGAGG-1", "iM.data_TGTGTGATCAAATGAG-1", "iM.data_TCGGGCAGTAACAGGC-1", "iM.data_CTTCGGTTCTACTGCC-1", "iM.data_TAGAGTCGTCAGTCTA-1", "iM.data_GATCATGAGTGATCGG-1", "iM.data_TCGATTTGTTGCGTAT-1", "iM.data_TCACTCGGTATCACGT-1", "iM.data_TACATTCAGCGTACAG-1", "iM.data_TGAGCATAGAAGCGCT-1", "iM.data_CAGAGCCCAAGACGGT-1", "iM.data_AGGAAATAGCCTGTCG-1", "iM.data_CACTTCGAGAGTTGTA-1", "iM.data_ATTGGGTTCCCTCGTA-1", "iM.data_CACTGAAGTAGGTACG-1", "iM.data_GCGATCGTCTCCCAAC-1", "iM.data_CTCATCGTCTAGCCTC-1", "iM.data_TAGACCATCGGCTTGG-1", "iM.data_TCGTAGATCCTACAAG-1", "iM.data_GTAACCACATATACCG-1", "iM.data_ACGTTCCGTCCCGCAA-1", "iM.data_GAATAGATCACCTCAC-1", "iM.data_CTAGGTACAAGAATGT-1", "iM.data_CCTCCAAGTGTGACCC-1", "iM.data_GATGAGGTCTCCGTGT-1", "iM.data_CCACTTGGTCGGTACC-1", "iM.data_TCATGGAGTGAGCCAA-1", "iM.data_GTCACGGGTGGAAGTC-1", "iM.data_AGCATCATCTTACCAT-1", "iM.data_CAGTTAGTCGTTATCT-1", "iM.data_CCGTAGGCACAGTGAG-1", "iM.data_CCACCATGTAAGTTGA-1", "iM.data_TCATGGAGTGCTGATT-1", "iM.data_CTAACTTTCAGGAAAT-1", "iM.data_CAGCAGCTCTCTGACC-1", "iM.data_TCAAGACTCTGCACCT-1", "iM.data_CCTCTAGGTTGGGACA-1", "iM.data_AATGCCAGTATCACCA-1", "iM.data_TTCCGGTGTGAATAAC-1", "iM.data_TGTTCTAAGTGAGTGC-1", "iM.data_TCACGGGAGTCCTACA-1", "iM.data_GATTGGTAGGTAGATT-1", "iM.data_AGACAAAGTCAAGGCA-1", "iM.data_AATGGAAAGATTAGCA-1", "iM.data_TTCTTCCGTGGTAACG-1", "iM.data_GTAACACTCTGTGCTC-1", "iM.data_GAGTGAGTCTCGTGAA-1", "iM.data_ATTTCTGTCTAGGAAA-1", "iM.data_AGTGACTGTGCGACAA-1", "iM.data_GGTAATCGTTGTGTAC-1", "iM.data_CGTGTCTAGCTTCGTA-1", "iM.data_TTGAGTGGTGCACGCT-1", "iM.data_TGGTTAGAGCTTTCCC-1", "iM.data_CCGTGAGCAACGTATC-1", "iM.data_CTCAAGATCCCATTCG-1", "iM.data_CGGGTGTTCGAGCACC-1", "iM.data_TTCCACGGTCGTCATA-1", "iM.data_TGTGATGGTCTTTATC-1", "iM.data_TCGGGTGTCAATGCAC-1", "iM.data_GCCCAGAAGACTACCT-1", "iM.data_ATTTCTGAGATCGCTT-1", "iM.data_AAGACAAAGCGACCCT-1", "iM.data_CTGCTCATCTCAGGCG-1", "iM.data_ATCGCCTCAGGGCTTC-1", "iM.data_GGGTTTAGTATGAAAC-1", "iM.data_TCCCACATCACTCACC-1", "iM.data_GATAGCTAGGATAATC-1", "iM.data_GGTCTGGGTAACGATA-1", "iM.data_TTCCACGGTAATCAGA-1", "iM.data_AGAACAAGTACACGCC-1", "iM.data_AACAACCGTATATGGA-1", "iM.data_CGAGTTACAAGTACCT-1", "iM.data_AGCCACGGTACCATAC-1", "iM.data_GAATCGTGTGGCATCC-1", "iM.data_TGGTGATCACAGAGAC-1", "iM.data_TCTACCGGTAAGCAAT-1", "iM.data_AGGACGAAGTTTCGGT-1", "iM.data_CTTTCAAGTAAGCGGT-1", "iM.data_GTGTTCCCAGCTCATA-1", "iM.data_CATGAGTGTGAGCGAT-1", "iM.data_GGTTGTAAGATCCCGC-1", "iM.data_TGTTACTGTACCATAC-1", "iM.data_ACGTTCCAGGTGCTGA-1", "iM.data_GACTCTCGTGCCTATA-1", "iM.data_GCTTTCGCAAATTAGG-1", "iM.data_TTCTGTAAGCCGTTGC-1", "iM.data_GATCAGTCAAACGAGC-1", "iM.data_GATTGGTCACGTCGGT-1", "iM.data_GGCTTTCGTAAGTTGA-1", "iM.data_CGTTCTGCAGGCATTT-1", "iM.data_AAGACAAGTGCCGTTG-1", "iM.data_GCTTTCGGTTATCCAG-1", "iM.data_AACCATGGTAGTCTTG-1", "iM.data_GGAAGTGGTCCGTACG-1", "iM.data_TATCTGTAGCTCTTCC-1", "iM.data_CGCATAAGTGGGTCAA-1", "iM.data_TAGAGTCAGGACATCG-1", "iM.data_AATTCCTAGTTGCGAG-1", "iM.data_CTCATGCAGCCACCGT-1", "iM.data_CCCAACTTCGTAACCA-1", "iM.data_TGACAGTAGGCCTAGA-1", "iM.data_ATGCGATAGGCCTTCG-1", "iM.data_ACGGGTCTCGCTGACG-1", "iM.data_TCGAAGTGTATAGGAT-1", "iM.data_TTCTAGTAGATGTAGT-1", "iM.data_TCACTATAGTGACACG-1", "iM.data_GCTTGGGAGAAAGCGA-1", "iM.data_TAACCAGAGCTCTGTA-1", "iM.data_GAGCTGCAGTGGGAAA-1", "iM.data_TGGGCGTGTATCACGT-1", "iM.data_CCTCCAACATCTAACG-1", "iM.data_TCCTTCTAGCCTATTG-1", "iM.data_CCACGTTCATACTGAC-1", "iM.data_TGGAGAGTCCTTCTGG-1", "iM.data_TTGAACGAGACTCCGC-1", "iM.data_GGCAGTCTCTAGTGTG-1", "iM.data_TCATGCCAGAAATCCA-1", "iM.data_CTCAACCGTGTACATC-1", "iM.data_CATTCTATCGACCAAT-1", "iM.data_GAGTTGTTCATACGAC-1", "iM.data_TTTGTTGTCCTACGAA-1", "iM.data_GGGACTCGTTACTCAG-1", "iM.data_AACACACAGTGCGACA-1", "iM.data_TGATCAGGTATTTCTC-1", "iM.data_GAGTTGTCACACCTTC-1", "iM.data_CACTGAACAGGCGTTC-1", "iM.data_GAGTCTAGTACCGTCG-1", "iM.data_ATCACGAAGACGTCGA-1", "iM.data_GTCACGGGTCACCGCA-1", "iM.data_CATACAGTCCTTCACG-1", "iM.data_TATTGGGTCTGCGAGC-1", "iM.data_GATTTCTGTTGACGGA-1", "iM.data_ATTCATCGTAGCGTAG-1", "iM.data_CTTCAATAGACTCAAA-1", "iM.data_CTATCCGGTACTGCGC-1", "iM.data_AACCAACAGACTACGG-1", "iM.data_CGAGTTAAGCCGTAAG-1", "iM.data_ACAAAGAGTATTCCGA-1", "iM.data_TCCATCGGTCGGTGTC-1", "iM.data_CGTCCATTCCATTCAT-1", "iM.data_GTCGTAAAGGAGATAG-1", "iM.data_GAAACCTGTTCAGCTA-1", "iM.data_TGAGGGATCTTTCCGG-1", "iM.data_AGAGCAGTCCTCGCAT-1", "iM.data_ATCTTCATCAGACAAA-1", "iM.data_AAGTGAAAGAGCCATG-1", "iM.data_TCGATTTAGCACCGTC-1", "iM.data_GTGTGGCAGATACCAA-1", "iM.data_TGTCAGACATTGACTG-1", "iM.data_GGGACTCAGTGCCAGA-1", "iM.data_GATCATGAGATTGACA-1", "iM.data_AGAGCCCAGGCTGTAG-1", "iM.data_ACCAAACTCTACGGTA-1", "iM.data_GTAGAGGCAATCCAGT-1", "iM.data_GACTCTCGTGACTGAG-1", "iM.data_CACCGTTGTAACCAGG-1", "iM.data_CATGGATAGTACTGGG-1", "iM.data_AGGAAATAGAAGTCCG-1", "iM.data_GTGGAGACAAAGCTCT-1", "iM.data_AGGGTCCTCCGGACGT-1", "iM.data_CCTGTTGCAAGGATGC-1", "iM.data_CAGCCAGCAGATTAAG-1", "iM.data_CGATGGCTCCCTCGAT-1", "iM.data_CACGTGGCACGTAGAG-1", "iM.data_TGAGTCAGTTCTCCCA-1", "iM.data_GTGGGAAGTCAGGCAA-1", "iM.data_TGTGCGGAGCGGGTAT-1", "iM.data_CTGTGAATCGCTCCTA-1", "iM.data_AAGCATCGTAGCACAG-1", "iM.data_GTCGTAACAGAGACTG-1", "iM.data_TTCTTGATCTGGAAGG-1", "iM.data_ATCGGCGGTGATGTAA-1", "iM.data_TGCAGATGTGTAGTGG-1", "iM.data_AATGAAGGTGCCTATA-1", "iM.data_TCGATTTCAAAGACTA-1", "iM.data_TTGTGGACAAAGCGTG-1", "iM.data_ATTACTCGTAGATTAG-1", "iM.data_AAAGGTATCCATTTCA-1", "iM.data_TTTGTTGCATAGACTC-1", "iM.data_ATGTCCCGTTCGGTAT-1", "iM.data_GTCCCATTCCAAATGC-1", "iM.data_GACGTTAAGCTGCGAA-1", "iM.data_GGACGTCAGTCAGCGA-1", "iM.data_CACACAAGTGATCGTT-1", "iM.data_AATGGCTCAGTAGAGC-1", "iM.data_TTCTTCCTCGCCTAGG-1", "iM.data_TCGCAGGTCAACTCTT-1", "iM.data_AAGCGTTTCAACTACG-1", "iM.data_TCGGATACATTGACTG-1", "iM.data_CTCCGATCAGGCAATG-1", "iM.data_ACTTTGTGTACGCTAT-1", "iM.data_GTTGCGGGTGTACAGG-1", "iM.data_CTTCAATCATAGATCC-1", "iM.data_ACTACGAAGGTTCATC-1", "iM.data_GGGATGAAGACGGAAA-1", "iM.data_CCCGAAGCAACTCATG-1", "iM.data_ATAGACCAGGGCAGTT-1", "iM.data_AGGCCACAGGACCCAA-1", "iM.data_CACCAAACACGACGAA-1", "iM.data_GAGTGAGTCTCTCGCA-1", "iM.data_TACAACGTCAGGACGA-1", "iM.data_TACTTCAAGAGTGGCT-1", "iM.data_CGTCCATCATGGGCAA-1", "iM.data_CGGGCATAGAGTCCGA-1", "iM.data_GTAGAGGCAAAGGATT-1", "iM.data_CACCAAATCGTGTCAA-1", "iM.data_GTGCACGAGCGCGTTC-1", "iM.data_GCGTTTCAGTGACCTT-1", "iM.data_GGAATGGTCAGAGTGG-1", "iM.data_GCTTCACGTGAGCAGT-1", "iM.data_GGGCGTTTCGGCTTCT-1", "iM.data_AGGTCATTCCTATGGA-1", "iM.data_TCCTTTCTCCCTCTAG-1", "iM.data_CCTCAGTAGGATCATA-1", "iM.data_GTGTTAGTCACTACGA-1", "iM.data_TGAGCGCGTTGAGAGC-1", "iM.data_AATTCCTTCTAAGGAA-1", "iM.data_ATGGAGGGTCAACACT-1", "iM.data_ATCCATTAGGATTCCT-1", "iM.data_GATTCTTGTTGGGAAC-1", "iM.data_CCGGTAGCACTACCCT-1", "iM.data_CGGGTCACACCCTCTA-1", "iM.data_TCCGTGTCAAGCACCC-1", "iM.data_GTCACGGGTCCTGGTG-1", "iM.data_CGGAGAAGTGCTCTCT-1", "iM.data_TGCGATATCTCTATAC-1", "iM.data_GAGGGATTCTGAGCAT-1", "iM.data_TCGATTTCAAACCATC-1", "iM.data_TTCCTCTCACACAGAG-1", "iM.data_CGAGTGCGTACGTAGG-1", "iM.data_TCTTTGAGTTGCCTAA-1", "iM.data_CCCGAAGTCCACGAAT-1", "iM.data_AGGACTTAGTCTGGTT-1", "iM.data_GGCTTGGGTCGTGTTA-1", "iM.data_ATTGGGTGTCATTGCA-1", "iM.data_GTGGGAAGTTGGGACA-1", "iM.data_ATGAAAGCATATCTGG-1", "iM.data_AGGAGGTTCCATGAGT-1", "iM.data_CATCAAGTCTTAGGAC-1", "iM.data_GCGGATCAGCGGTAGT-1", "iM.data_AATGAAGCACGACTAT-1", "iM.data_GATTGGTGTGCTATTG-1", "iM.data_GGACGTCTCGCCTATC-1", "iM.data_TCTATCATCATCACTT-1", "iM.data_TTTCGATAGAGCTGCA-1", "iM.data_AAGACAACAACTGTGT-1", "iM.data_TGTCCACCACGTTGGC-1", "iM.data_AGCCAATTCGCTTGAA-1", "iM.data_CGTCCATAGCGGGTTA-1", "iM.data_AGCTACAAGCATCTTG-1", "iM.data_GGAGATGCAAGTGGAC-1", "iM.data_GCACATATCGATACAC-1", "iM.data_GCGTGCAGTACTTGTG-1", "iM.data_GGAGGTACAGACGATG-1", "iM.data_TTGGGATCAAGCTGCC-1", "iM.data_GTTCATTAGCTTAGTC-1", "iM.data_AAGGAATAGAGGGTAA-1", "iM.data_GCGAGAAGTCTTGCTC-1", "iM.data_GGGACTCCAGTCGCTG-1", "iM.data_GTTAGTGTCCGATTAG-1", "iM.data_CTGCAGGCAGCATGCC-1", "iM.data_CACGAATGTAGTCGGA-1", "iM.data_ATACCGATCAAATGAG-1", "iM.data_TACCTGCTCTTTGCAT-1", "iM.data_CTCCTCCTCAGGCGAA-1", "iM.data_AGAAGCGTCATGGAGG-1", "iM.data_CCAAGCGCAGCAGTTT-1", "iM.data_CTACAGAGTCTTAGTG-1", "iM.data_TTTCCTCCACTCAAGT-1", "iM.data_TTGCATTAGTCGTCTA-1", "iM.data_TGAGGAGTCAGAGTGG-1", "iM.data_ATCAGGTTCATTCACT-1", "iM.data_ACTTTGTAGGCAATGC-1", "iM.data_TCCGTGTTCGTTAGAC-1", "iM.data_ACCTGAACAAATTAGG-1", "iM.data_ACTTATCGTTAATCGC-1", "iM.data_GCTTTCGGTTAAGAAC-1", "iM.data_CGGGTCATCTACGCAA-1", "iM.data_TAATCTCAGCTCCACG-1", "iM.data_AGAAGCGAGTGCCTCG-1", "iM.data_GTGCGTGTCTTACACT-1", "iM.data_AGTCTCCGTGGACAGT-1", "iM.data_CACAGGCGTGGTGATG-1", "iM.data_TGGATCATCGTCACCT-1", "iM.data_GCTGCAGCATGCCGAC-1", "iM.data_ACATCGATCATGCTAG-1", "iM.data_GTCGAATCAACGGTAG-1", "iM.data_ACTATTCCAAAGAACT-1", "iM.data_ATGGTTGGTTCCGGTG-1", "iM.data_TCCATCGCAGCGACAA-1", "iM.data_CTTCCTTAGGTTCTTG-1", "iM.data_GTCATGACAAGTCATC-1", "iM.data_TCTTCCTGTTAGGAGC-1", "iM.data_TGGGATTCAAAGTGTA-1", "iM.data_GTAGAGGGTTTCCATT-1", "iM.data_GCTTGGGGTCCTGGTG-1", "iM.data_GCAACCGAGGATACCG-1", "iM.data_GAGTTACAGATAGCAT-1", "iM.data_ACTGTGAGTCATAGTC-1", "iM.data_ATGAAAGAGGCAGTCA-1", "iM.data_TGTCCCAGTCGGTGAA-1", "iM.data_TAAGCCACATACATCG-1", "iM.data_GGGTTTAAGGAGGGTG-1", "iM.data_CATTCTATCTTAGTTC-1", "iM.data_CTGTGAATCGTGGACC-1", "iM.data_CTGTGAAAGACTAGAT-1", "iM.data_CGTGATAGTGCGAACA-1", "iM.data_AAATGGAGTAGATTAG-1", "iM.data_GACCGTGAGTACCATC-1", "iM.data_AAGCGAGAGGTCACAG-1", "iM.data_CTCCCAATCGCTCTAC-1", "iM.data_TTGTTTGGTAGAGTTA-1", "iM.data_AGGCCACGTTCCCAAA-1", "iM.data_CGGGTGTAGAGGTTAT-1", "iM.data_GTGTGATGTCTACAAC-1", "iM.data_GTTCATTAGGGCAGAG-1", "iM.data_GTCATGAAGGCCTGCT-1", "iM.data_CTGCATCTCAAAGGTA-1", "iM.data_GTCGAATTCTGCTGAA-1", "iM.data_GTCTGTCCAAGAAACT-1", "iM.data_TGGGCGTAGACGTCCC-1", "iM.data_GTACAACTCCCAAGTA-1", "iM.data_TGTTCATGTCGCAGTC-1", "iM.data_TTTGATCCAAAGGAGA-1", "iM.data_CCCTAACCAGAGGGTT-1", "iM.data_GAACTGTGTGATGAAT-1", "iM.data_AGCTACACACAGGATG-1", "iM.data_GTTATGGCAACAAGAT-1", "iM.data_GCACTAAGTCTTCCGT-1", "iM.data_TCCGTGTCAACCGCTG-1", "iM.data_CTGTGGGGTAGTATAG-1", "iM.data_AAGCATCCATAATGAG-1", "iM.data_TCCAGAACACGCGTGT-1", "iM.data_CGGGTCAGTGTCATGT-1", "iM.data_AGTAGCTAGTAGCATA-1", "iM.data_CATAGACAGTACCGGA-1", "iM.data_CCTCCAACAATCACGT-1", "iM.data_TGAACGTTCTGAATGC-1", "iM.data_CAACAACAGGTAGGCT-1", "iM.data_GTTAGTGAGGCTAACG-1", "iM.data_AGAAGTATCGTGTTCC-1", "iM.data_TAGTGCACATCCAATG-1", "iM.data_GGCTGTGTCCATTTAC-1", "iM.data_AATGGAATCCACTTCG-1", "iM.data_TACAACGGTATCGCTA-1", "iM.data_CCTTCAGTCTGGGATT-1", "iM.data_AACACACGTCTAGTGT-1", "iM.data_TATCCTATCCCGTGAG-1", "iM.data_ACTTTGTAGTTCTCTT-1", "iM.data_AAGCATCTCCGACAGC-1", "iM.data_TAGCACATCCAGCTCT-1", "iM.data_TCTGGCTAGACTTGTC-1", "iM.data_CACTGGGAGTCTCTGA-1", "iM.data_ACGATGTAGCATGTTC-1", "iM.data_CGATGGCAGTGTTGTC-1", "iM.data_ATCGGATGTAACATAG-1", "iM.data_CTGTACCCACGCTGCA-1", "iM.data_GTCTGTCGTCAACCTA-1", "iM.data_CCACGAGGTAGCTGAG-1", "iM.data_TCACGGGTCGTACACA-1", "iM.data_AGTCACACAAACTCTG-1", "iM.data_TCTAACTTCTCATAGG-1", "iM.data_AGGGTCCAGAGAGTGA-1", "iM.data_TGAATGCGTCTGTAGT-1", "iM.data_TGGATCACAACGAGGT-1", "iM.data_AACGGGACAGCAGGAT-1", "iM.data_TTCATGTGTAGTAAGT-1", "iM.data_CAGATACTCGAGTACT-1", "iM.data_TGGTACAGTACTAGCT-1", "iM.data_AGATGCTGTTATGGTC-1", "iM.data_TGAGCATCAGGCATGA-1", "iM.data_CCCGAAGGTAGTGGCA-1", "iM.data_AACAAGAAGATCCCGC-1", "iM.data_CGATGGCTCTTCTGTA-1", "iM.data_TTTGGAGCATTCACCC-1", "iM.data_AGGGTGAAGGTGATCG-1", "iM.data_TTACGTTTCGTGCTCT-1", "iM.data_CGATGGCGTCCGGATC-1", "iM.data_CTTAGGAGTTGACGGA-1", "iM.data_GCGGATCAGGGCCTCT-1", "iM.data_CAACAGTTCTTGAGCA-1", "iM.data_CTATCTAGTGGCAACA-1", "iM.data_ACAGCCGTCATGCCGG-1", "iM.data_TCATTACTCAAGCCGC-1", "iM.data_AAAGGGCGTGTCGATT-1", "iM.data_GAGTTGTCACATACTG-1", "iM.data_CCTAAGACAATCGAAA-1", "iM.data_ATAGACCAGAGTGTTA-1", "iM.data_GCACGGTCAGTAACCT-1", "iM.data_GAATCGTCAGTTTCAG-1", "iM.data_CATTCTAAGTCATCCA-1", "iM.data_AGTGATCAGCCTTGAT-1", "iM.data_ATTCAGGTCCTTCGAC-1", "iM.data_ATCCGTCTCAACTGAC-1", "iM.data_TGCAGATCATCGTGCG-1", "iM.data_ACATCCCGTGCGTTTA-1", "iM.data_AATGGAAAGCGTTGTT-1", "iM.data_ATTCCTATCGTGTCAA-1", "iM.data_GTGACGCAGACATAAC-1", "iM.data_TCGGGCAAGACGGAAA-1", "iM.data_TTGGTTTTCTAGGAAA-1", "iM.data_ACAACCAAGTAACAGT-1", "iM.data_ATAGAGAGTCCAGCAC-1", "iM.data_AACCTGATCACCGACG-1", "iM.data_CATCGGGTCAACTACG-1", "iM.data_GCATGATCAATAACGA-1", "iM.data_AACAGGGAGATTCGAA-1", "iM.data_CCGTTCATCGTAGCTA-1", "iM.data_GAGAAATTCTCAGAAC-1", "iM.data_GAGATGGTCCTGGGTG-1", "iM.data_TATTGGGTCATCAGTG-1", "iM.data_CTCAATTCAACTTCTT-1", "iM.data_GGGTTATTCCCAACTC-1", "iM.data_TTCGGTCGTCCCACGA-1", "iM.data_CTCAATTCACAAATAG-1", "iM.data_GAGTCTAAGCGAATGC-1", "iM.data_CTGCTCACACGTCTCT-1", "iM.data_CTCATTATCGAGCACC-1", "iM.data_AAGCCATGTGGATGAC-1", "iM.data_TATTCCAGTCTACGAT-1", "iM.data_GACATCAAGGCTCTCG-1", "iM.data_ACTTAGGGTATTTCCT-1", "iM.data_TTCAATCGTCTCGGAC-1", "iM.data_CATGGTATCATGCAGT-1", "iM.data_TGTGTGATCTCATTAC-1", "iM.data_AGCGCCACAGTTAGAA-1", "iM.data_TCTCCGATCTGAATCG-1", "iM.data_GCGAGAAAGCACAAAT-1", "iM.data_GAGGCAAGTAATCAAG-1", "iM.data_GGTGTCGGTTTCGTGA-1", "iM.data_TCCCACAGTCGATTTG-1", "iM.data_AAAGTGACATCCGAAT-1", "iM.data_GGGCTACTCAAGTCTG-1", "iM.data_GTACAGTGTGGCTGAA-1", "iM.data_CTATCTATCTGGCCGA-1", "iM.data_GTTTGGATCTTGCGCT-1", "iM.data_CCACCATCAAATTGCC-1", "iM.data_AGGGTCCAGCCTTTGA-1", "iM.data_TCGTGGGTCAGAATAG-1", "iM.data_CCGTGAGTCTGCCTGT-1", "iM.data_ACTGCAAGTGGTCCCA-1", "iM.data_AGCCAATCAGTAGATA-1", "iM.data_CAATTTCTCGATTGGT-1", "iM.data_AGTCACACAGCTACTA-1", "iM.data_TTCCGGTGTATGGTAA-1", "iM.data_TGCGGCACATCATTTC-1", "iM.data_ACAACCATCGGATAAA-1", "iM.data_ATAGACCCAGGTCAAG-1", "iM.data_CTGCGAGCACCTGCGA-1", "iM.data_ATGGGTTCAAAGTGTA-1", "iM.data_TACGTCCAGATGGCAC-1", "iM.data_CGAAGTTAGTAAACGT-1", "iM.data_TTCTCTCTCTGCGTCT-1", "iM.data_TCATTCAGTCGCTTAA-1", "iM.data_CCACGTTGTTGGTAGG-1", "iM.data_TGCACGGGTTCAACGT-1", "iM.data_TGCACGGTCGCAATTG-1", "iM.data_TAGAGTCGTCATCGCG-1", "iM.data_ACGTCCTGTGCATCTA-1", "iM.data_GATTCTTTCGTGGCGT-1", "iM.data_AGCTCAAGTCGCTTGG-1", "iM.data_GAGTTGTGTGGAGGTT-1", "iM.data_TCGGTCTCAGCACCCA-1", "iM.data_AGAACAAAGGCATCGA-1", "iM.data_CCTCCAAGTACTTCCC-1", "iM.data_GAGAGGTGTCTGTCCT-1", "iM.data_TCGTCCAGTATGTGTC-1", "iM.data_GTCATCCAGTCATCGT-1", "iM.data_TTTACGTCATGAATCC-1", "iM.data_AAAGTGACACACCAGC-1", "iM.data_TACTTACAGCCGCTTG-1", "iM.data_TTTGTTGTCTTGATTC-1", "iM.data_GCACGGTAGGCATCTT-1", "iM.data_GTCGAATAGTAGACAT-1", "iM.data_CGTGAATTCAGTCACA-1", "iM.data_AAAGAACAGCGGGTAT-1", "iM.data_TCATGCCCACTGTGAT-1", "iM.data_CATTTCACATACTTTC-1", "iM.data_ATGAAAGCACTTACAG-1", "iM.data_ACCATTTGTTAATGAG-1", "iM.data_AGCATCAAGAATAGTC-1", "iM.data_ACAGAAAAGTCACGCC-1", "iM.data_TTTCAGTGTCTTAGTG-1", "iM.data_TAAGCGTCACATACGT-1", "iM.data_CGTAATGTCATCCTAT-1", "iM.data_TGCTTCGAGCACTCGC-1", "iM.data_AAACGAATCCTGCCAT-1", "iM.data_TGCGACGCACACGTGC-1", "iM.data_GATAGAACATTCTCTA-1", "iM.data_TACAACGTCGATGCTA-1", "iM.data_CAATTTCCAGACACAG-1", "iM.data_CAAGCTAGTATCAGGG-1", "iM.data_TCCAGAAAGTAGGTTA-1", "iM.data_TCATGAGGTAGCGTCC-1", "iM.data_AGTTCGAGTTGCGGCT-1", "iM.data_TGCGGGTGTACGGTTT-1", "iM.data_CTCAGTCGTTAGAAAC-1", "iM.data_CTGGACGGTCGTCGGT-1", "iM.data_CCCTTAGTCGAACCTA-1", "iM.data_TACAGGTGTCGAGATG-1", "iM.data_TCACATTTCTGATTCT-1", "iM.data_CACTGTCTCGGAACTT-1", "iM.data_TCAGGTATCAATCGGT-1", "iM.data_CATTGTTGTGCCCACA-1", "iM.data_AGCCAATAGAGTCCGA-1", "iM.data_TAAGCACCATTGTACG-1", "iM.data_TCTAACTAGGCCCACT-1", "iM.data_AAGTGAAAGGCACGAT-1", "iM.data_GTCTAGAAGGCTCAAG-1", "iM.data_TCTTCCTCAAGACGGT-1", "iM.data_CCCGGAACAACAAGAT-1", "iM.data_GCGGAAAAGAAAGCGA-1", "iM.data_TCATACTTCCCATGGG-1", "iM.data_TGTCCACTCTACTTCA-1", "iM.data_GACTCTCAGCCGATAG-1", "iM.data_TGCTCGTCAATTGGTC-1", "iM.data_GTACAGTGTTGCGAAG-1", "iM.data_AGCCAATCACTTGGCG-1", "iM.data_CAAGACTGTCTGTGTA-1", "iM.data_ACTTCGCTCCTAGCCT-1", "iM.data_TGATTCTTCGGCTATA-1", "iM.data_TCTTTGACAACGAGGT-1", "iM.data_ACCTACCTCGCTGACG-1", "iM.data_TTTCACACATAATGAG-1", "iM.data_GGTCACGGTGCCTTCT-1", "iM.data_GGTTAACTCAAGAGGC-1", "iM.data_TCATGTTCAAGAAATC-1", "iM.data_CTCATTACACTTGAAC-1", "iM.data_TCGGATATCCCTTTGG-1", "iM.data_TCAGCAAGTCAGTCCG-1", "iM.data_CGGCAGTCACTGAGGA-1", "iM.data_GACCCTTCACAACCGC-1", "iM.data_GGAGCAATCCATTGGA-1", "iM.data_TACCTCGGTCTGTGTA-1", "iM.data_AACAACCTCTGTGTGA-1", "iM.data_TCCTTTCTCGAGTCTA-1", "iM.data_TAATCTCTCCACAGGC-1", "iM.data_TGCGATATCCTCTCGA-1", "iM.data_AAGTCGTCATTCAGCA-1", "iM.data_AGTAGCTGTATTTCCT-1", "iM.data_TGTAACGGTCATTCCC-1", "iM.data_GAATCGTTCCTCTAAT-1", "iM.data_CACAACATCTTAGCTT-1", "iM.data_CTAACCCCACGACGAA-1", "iM.data_AGAGAGCCATACAGGG-1", "iM.data_TGCTTGCTCCCAAGTA-1", "iM.data_GATTCTTTCACCTTGC-1", "iM.data_GCACGGTCACCTTCGT-1", "iM.data_TTGAACGGTGCACGCT-1", "iM.data_TGAATGCAGCTCCCTT-1", "iM.data_TTGATGGCAGCACGAA-1", "iM.data_GACAGCCCACTGATTG-1", "iM.data_TTAGGCATCCATTGGA-1", "iM.data_CACTGAAGTATCATGC-1", "iM.data_CGATCGGAGTATGATG-1", "iM.data_TGATTTCGTTTGGCTA-1", "iM.data_ACTATGGAGCCACCGT-1", "iM.data_CACTGGGAGCCTGTGC-1", "iM.data_CCCGGAAAGCACCGAA-1", "iM.data_ACCTGTCTCGTGTGAT-1", "iM.data_AGGTGTTAGACCATAA-1", "iM.data_GCCAACGCAGTGACCC-1", "iM.data_AGGATAACAGGTTTAC-1", "iM.data_CGGACACTCCCATTTA-1", "iM.data_GTAGTACAGGGTCACA-1", "iM.data_CCTTCAGTCGCAATGT-1", "iM.data_CAATCGAAGGTACAGC-1", "iM.data_AACGTCAAGTCATCGT-1", "iM.data_GGTGTCGTCAACTGGT-1", "iM.data_ATCACAGGTGGCCTCA-1", "iM.data_ATTTCTGCAGCAGTCC-1", "iM.data_CAGTGCGCACCAGCCA-1", "iM.data_CTTGATTTCTAGACAC-1", "iM.data_TGAGTCACAAGTGGGT-1", "iM.data_TTTCGATAGTCATAGA-1", "iM.data_TCAAGCACACCTTCGT-1", "iM.data_TACTTACGTGCACATT-1", "iM.data_TTACCGCCAGTGAGCA-1", "iM.data_GGTAGAGTCCCGTGTT-1", "iM.data_TCGACCTCATTAGGAA-1", "iM.data_AAACGCTCAAATTAGG-1", "iM.data_AACGTCAAGACAACTA-1", "iM.data_GGGAGATGTTTAGAGA-1", "iM.data_ACACCAAGTCATCTAG-1", "iM.data_AGCGTATAGAGTCTGG-1", "iM.data_GTTGCTCTCTATTGTC-1", "iM.data_TCCTAATCAATTCTCT-1", "iM.data_AGATGCTGTCTGTCCT-1", "iM.data_CCGGACAGTCCACACG-1", "iM.data_GGTAATCCAGGAAGTC-1", "iM.data_GTTTGGAAGCATGCGA-1", "iM.data_GTTGAACAGGCACAAC-1", "iM.data_TCGTCCAGTACTCGCG-1", "iM.data_AAATGGATCGCTCTAC-1", "iM.data_CACTGAAAGCTCATAC-1", "iM.data_GAAATGATCAGGTGTT-1", "iM.data_CCTCAACGTAGTCCTA-1", "iM.data_TGTGAGTAGTCGCTAT-1", "iM.data_TATCTGTCAAGCCCAC-1", "iM.data_GTGGCGTCAGCAAGAC-1", "iM.data_TCGGGTGAGCGACTTT-1", "iM.data_GTAAGTCAGTTGTAGA-1", "iM.data_AGAGCAGTCTGCGATA-1", "iM.data_CTTCTAAAGGTCTGGA-1", "iM.data_AACCTTTGTTATCTTC-1", "iM.data_AACACACAGCGTTCCG-1", "iM.data_ACTGATGAGGTCTGGA-1", "iM.data_TACCTGCGTGCATGAG-1", "iM.data_GGTGAAGTCGGAGTAG-1", "iM.data_CTACTATTCCTTATAC-1", "iM.data_GGGCTACGTCTCGGAC-1", "iM.data_AGGAATAGTCTGTCAA-1", "iM.data_CTCCCTCTCTCCCTAG-1", "iM.data_GAGGCCTAGCTAAGTA-1", "iM.data_AGACCCGAGCGCCCAT-1", "iM.data_AGAACAACATGACGGA-1", "iM.data_GGGCCATGTCGTATTG-1", "iM.data_GGGACTCTCCGTGGGT-1", "iM.data_TCTGGCTTCAACGTGT-1", "iM.data_TAGGGTTCACAGACGA-1", "iM.data_TAACACGGTGATACTC-1", "iM.data_CCTCAGTGTCACAATC-1", "iM.data_TCGGGACGTTACCTTT-1", "iM.data_TTCAGGACACTATCGA-1", "iM.data_AATCGTGGTGCATGAG-1", "iM.data_CGCCATTTCTGCCTGT-1", "iM.data_TGCACGGTCCGTGACG-1", "iM.data_ATTGGGTCAGAGCTAG-1", "iM.data_GGTGGCTTCCCTATTA-1", "iM.data_AGGTCTAGTGCTCTCT-1", "iM.data_GACGCTGTCGTCTAAG-1", "iM.data_TGGATGTCACGTACTA-1", "iM.data_AGCGTATAGTCGAAAT-1", "iM.data_ATTGGGTAGCTTAGTC-1", "iM.data_AGTCAACGTCCAAAGG-1", "iM.data_ATGAAAGGTTGGGTTT-1", "iM.data_TGACTCCAGGCAGGTT-1", "iM.data_CTCAAGATCTTACGTT-1", "iM.data_AGATGCTGTTAGGGTG-1", "iM.data_ATCGCCTAGCCATGCC-1", "iM.data_CAGCCAGCAAGCAATA-1", "iM.data_ACAGGGACAGCTGTCG-1", "iM.data_GCGAGAACAGTCGCAC-1", "iM.data_TCAAGCACAACAAGAT-1", "iM.data_CCGTTCACAAACCACT-1", "iM.data_TGGAGAGGTTAAGACA-1", "iM.data_TTTACCACACGACCTG-1", "iM.data_CAACCAAGTCCCGGTA-1", "iM.data_TTTGGAGAGTCCTGTA-1", "iM.data_CCCTGATCAAGTGCTT-1", "iM.data_AAAGGATTCATCACTT-1", "iM.data_ACGTCCTCACGTGTGC-1", "iM.data_GTCACGGGTATTAAGG-1", "iM.data_CAACCTCGTTTCTTAC-1", "iM.data_ATGATCGCAGTGGCTC-1", "iM.data_ATTCTTGGTCGCTTAA-1", "iM.data_CGAAGTTGTCGCCACA-1", "iM.data_AAATGGACAGTGTACT-1", "iM.data_TGATTTCGTCGGTAAG-1", "iM.data_CAGCACGTCTTCTTCC-1", "iM.data_CGTTAGACAAGCTCTA-1", "iM.data_TTCAGGAGTGCTAGCC-1", "iM.data_TCATCCGCATCGATGT-1", "iM.data_CCGGTGATCGAGATGG-1", "iM.data_AAAGGGCAGGTTACAA-1", "iM.data_TCATGGAGTTAATCGC-1", "iM.data_AAATGGATCATGCTAG-1", "iM.data_GTACAGTCAACTGCTA-1", "iM.data_TGCATCCGTGGGTCAA-1", "iM.data_CTACTATCAACGATTC-1", "iM.data_GTAGAGGAGGTGGTTG-1", "iM.data_GCACGTGGTTCGGACC-1", "iM.data_TAAGTCGGTCTTGCTC-1", "iM.data_TTCCTCTCAGGTAGTG-1", "iM.data_ACTGCAAGTCCGGACT-1", "iM.data_TGTTTGTAGACAGCTG-1", "iM.data_TTACCATCAGAACCGA-1", "iM.data_CGGGTCAAGAGAGGGC-1", "iM.data_GTCAAACCAGGTCAAG-1", "iM.data_CTCCGATAGCGAGTCA-1", "iM.data_GATTGGTCAGGAGGTT-1", "iM.data_GCATTAGTCCGTGTCT-1", "iM.data_TGAGGTTCACAAATAG-1", "iM.data_CTAGACATCGGTAGAG-1", "iM.data_GATTGGTAGGCGTCCT-1", "iM.data_GTCTTTAGTGTAGGAC-1", "iM.data_AGAACAAGTTTGTGGT-1", "iM.data_GTCATCCCAGATACTC-1", "iM.data_AGGAGGTGTATGAGCG-1", "iM.data_CCTTTGGGTGTGAATA-1", "iM.data_CCTAAGACACGTAGAG-1", "iM.data_TCAGTTTCAGAATTCC-1", "iM.data_AGCGCCAAGAAGCCAC-1", "iM.data_TTTGACTAGGGTTAAT-1", "iM.data_AAAGAACAGAGAGCCT-1", "iM.data_ATTCTTGAGGATGTTA-1", "iM.data_GAGTGTTTCCGCGATG-1", "iM.data_GGGACAACAAGTGCAG-1", "iM.data_ACTGATGCAATAACCC-1", "iM.data_ACACCAATCTTACACT-1", "iM.data_CGATGGCTCGTACCTC-1", "iM.data_GGGTCACAGGGCGAGA-1", "iM.data_TCATTGTCATAGAATG-1", "iM.data_CTCCATGTCAGACATC-1", "iM.data_CGGAGAAAGCGATTCT-1", "iM.data_TCATTTGCAAACTCGT-1", "iM.data_GTAGGAGAGTACCATC-1", "iM.data_CACATGACACGCGCTA-1", "iM.data_AAGACAACACATGGTT-1", "iM.data_AGAAGTATCCCATTTA-1", "iM.data_GAAGCGATCGACGTCG-1", "iM.data_ACGATCATCAACCTTT-1", "iM.data_AGCGATTGTCGAATGG-1", "iM.data_TGTCAGAAGCGACTAG-1", "iM.data_TCAGCAACAGAGTGAC-1", "iM.data_ACCTGAATCTGGAGAG-1", "iM.data_TGTGATGCAGGTGGAT-1", "iM.data_TCGACGGTCAGGCGAA-1", "iM.data_TGGGCGTTCTTACGTT-1", "iM.data_GTCGTAACATCACGGC-1", "iM.data_CGTCAAATCCTCCACA-1", "iM.data_GTCCTCAGTGATACAA-1", "iM.data_GAAGGACAGTCAGGGT-1", "iM.data_GCATCGGGTTGCGGAA-1", "iM.data_CCTCTCCTCAGCTGAT-1", "iM.data_GGGTTATCATGTGCTA-1", "iM.data_TTTATGCCAAGACCTT-1", "iM.data_TCGGATATCTCGGCTT-1", "iM.data_CGTCCATGTTAGTCGT-1", "iM.data_TCACACCTCTCGACCT-1", "iM.data_TACCTCGGTTCAAAGA-1", "iM.data_CCACGTTGTCTGTGGC-1", "iM.data_TCTTTGACAGCATGCC-1", "iM.data_TTCCTCTTCATTATCC-1", "iM.data_TTCGATTGTTATTCTC-1", "iM.data_GCTACCTAGAGAGAAC-1", "iM.data_CAACAACAGATAACAC-1", "iM.data_TAGTGCACATAACAGA-1", "iM.data_GGAACCCGTATCTTCT-1", "iM.data_ATTGGGTAGAGGTCAC-1", "iM.data_CAACGATTCGCCTCTA-1", "iM.data_CAGTTAGGTCGGTGTC-1", "iM.data_CCGGACACAACCAATC-1", "iM.data_TGGTAGTCAATGGGTG-1", "iM.data_GTGGGAAGTCATCGCG-1", "iM.data_TGAGGAGGTGAGTTTC-1", "iM.data_CAACCTCTCAACGTGT-1", "iM.data_GGTAATCAGTCAAGCG-1", "iM.data_GGCAGTCAGGTGCTGA-1", "iM.data_CAGCAGCTCCATTCGC-1", "iM.data_CCTCCTCTCCTAGAGT-1", "iM.data_TTTGACTAGTGTTCCA-1", "iM.data_GGGAGATCAGGCCTGT-1", "iM.data_GCCTGTTAGTGGTTCT-1", "iM.data_AGGGCTCAGTCATAGA-1", "iM.data_ATTCCCGAGAGGGTCT-1", "iM.data_CCTCATGTCTATTCGT-1", "iM.data_CCTCACAGTCGTTGCG-1", "iM.data_GTATTGGTCACCGGGT-1", "iM.data_TCTAACTGTACTAAGA-1", "iM.data_AGGGTCCCAGGAGGTT-1", "iM.data_TATCAGGCAACCGGAA-1", "iM.data_GGAATGGAGGAAGTCC-1", "iM.data_ATGAGTCGTGCCGGTT-1", "iM.data_ATTCCCGCACCAGTAT-1", "iM.data_AACACACTCGGCTTCT-1", "iM.data_CATTGAGCAGGTTTAC-1", "iM.data_CACGGGTGTAGCGTCC-1", "iM.data_CACTGGGAGACATATG-1", "iM.data_GATCACAAGGCGTTGA-1", "iM.data_GTCCACTTCCTAACAG-1", "iM.data_AGTCACACAACAAGAT-1", "iM.data_TCGGGTGCAGTAACGG-1", "iM.data_GATGATCCATGTGGCC-1", "iM.data_ACGGGTCCATATAGCC-1", "iM.data_TCGCACTGTATCGTTG-1", "iM.data_CTTCGGTAGCCTGACC-1", "iM.data_AGGTTACTCAAACGAA-1", "iM.data_ACACCAATCCGGACGT-1", "iM.data_TTGCCTGCAATAGAGT-1", "iM.data_CATGGATCAGCTCATA-1", "iM.data_GTTACGAGTCTCCTGT-1", "iM.data_CTCATCGTCTGGCTGG-1", "iM.data_CGAGGAATCGCATAGT-1", "iM.data_TCGTCCAAGTTGCATC-1", "iM.data_TTCATTGTCGACACTA-1", "iM.data_GGTGGCTCATCGAACT-1", "iM.data_AGATCGTCAGGACTAG-1", "iM.data_CAGCCAGGTGAACGGT-1", "iM.data_TCAGTTTCAGAGGACT-1", "iM.data_GAGCCTGCAGGACATG-1", "iM.data_GCATCTCAGCAGTAAT-1", "iM.data_TCAAGTGGTATCACCA-1", "iM.data_TTTACCAGTCTGCATA-1", "iM.data_AAGACAAGTAGACGTG-1", "iM.data_GCATGATGTAGCGTCC-1", "iM.data_CCCTAACCAGTGTACT-1", "iM.data_AGCCAATTCCGTAGTA-1", "iM.data_AATTTCCTCTTGAGCA-1", "iM.data_TGTAAGCTCTCAACCC-1", "iM.data_TCCTCTTAGGCCGCTT-1", "iM.data_CGGGTCAGTCAGGTAG-1", "iM.data_TCTGTCGGTAACAGTA-1", "iM.data_GGGACTCTCGGCCAAC-1", "iM.data_GTTGTGACACCAGTTA-1", "iM.data_CGCATGGAGACTTCCA-1", "iM.data_CAGATACTCCGGACTG-1", "iM.data_TAGCACAAGTGATTCC-1", "iM.data_GCAGTTACAACTACGT-1", "iM.data_TAAGTCGAGCGTTAGG-1", "iM.data_TAACCAGCAGAGCTAG-1", "iM.data_GCGTTTCAGGAACATT-1", "iM.data_TTCAGGACAATGCAGG-1", "iM.data_TCTGTCGAGACTGGGT-1", "iM.data_ACGGGTCCAATTCTTC-1", "iM.data_ACGTAGTTCTGCATAG-1", "iM.data_GTCATCCAGTTGCTGT-1", "iM.data_CAGTTAGAGAGTCAGC-1", "iM.data_ACTTTGTAGTCTGGTT-1", "iM.data_TAAGCACAGTGATAAC-1", "iM.data_AGACACTCATGTCAGT-1", "iM.data_ACTTTCAAGGAAGTGA-1", "iM.data_TAGTGCAAGGGTAATT-1", "iM.data_TGCAGTATCTCGGGAC-1", "iM.data_TCCGAAAAGTGCGCTC-1", "iM.data_AGTAGTCGTCGCACGT-1", "iM.data_TTCCTCTCAACACAAA-1", "iM.data_ATCCATTCAGATCATC-1", "iM.data_TGAGACTGTGAACGGT-1", "iM.data_TGATTTCCAGCCCACA-1", "iM.data_TAGACCAAGATGCTGG-1", "iM.data_GTTAGTGAGCACTCCG-1", "iM.data_CGCATAATCTGGTGGC-1", "iM.data_CGAGTTAAGGAACATT-1", "iM.data_CGAGTTAAGCCAACCC-1", "iM.data_CAAGGGAAGCCTTCTC-1", "iM.data_GCGTTTCAGATTGATG-1", "iM.data_CAACGATGTGTAGCAG-1", "iM.data_CGAGAAGAGGCCTTCG-1", "iM.data_CTGCGAGTCCGTAGGC-1", "iM.data_TGCTGAACACTTGGCG-1", "iM.data_TCTGTCGCAAGATTGA-1", "iM.data_AACCCAACATACCATG-1", "iM.data_ATCGTCCGTGTCATCA-1", "iM.data_TGCACGGTCACTGGTA-1", "iM.data_CACCAAAGTAATGCTC-1", "iM.data_CGGGTGTCACGACAAG-1", "iM.data_GGGTAGATCTGAGTCA-1", "iM.data_CTAAGTGAGGTCGACA-1", "iM.data_CCAATTTTCGCCAACG-1", "iM.data_GGAATGGCAACACAGG-1", "iM.data_CATCGTCAGGTGTGAC-1", "iM.data_TTGGGCGTCGGCTTGG-1", "iM.data_AGGTAGGAGTGTCATC-1", "iM.data_AGTAACCCACGTACAT-1", "iM.data_GAAGGGTGTGAGGCAT-1", "iM.data_GTAGGTTTCATACGAC-1", "iM.data_ATGGAGGCACTCACTC-1", "iM.data_CATACCCGTATTGACC-1", "iM.data_TCAAGACCAGAAGCGT-1", "iM.data_TCCGGGATCTCACGAA-1", "iM.data_AGAGCCCAGGCGAACT-1", "iM.data_AGGAGGTGTGTTTCTT-1", "iM.data_ACGTCCTTCTTGGGCG-1", "iM.data_CGCCATTTCACTGTTT-1", "iM.data_ATACCTTTCTGTAAGC-1", "iM.data_TTTATGCCAAAGGGCT-1", "iM.data_TCCGGGAGTAGTGCGA-1", "iM.data_GAGACCCAGCGATGAC-1", "iM.data_TAACACGGTAGTCTGT-1", "iM.data_GTGGTTATCGGACTGC-1", "iM.data_AACAAGAAGTATGCAA-1", "iM.data_TATTGGGTCCGGCAAC-1", "iM.data_TCAGCAATCAACCCGG-1", "iM.data_CCGGACAAGAAAGTCT-1", "iM.data_AGCGATTAGGCTTAGG-1", "iM.data_CACAGGCGTTCCCAAA-1", "iM.data_GCGTTTCTCAAGTCTG-1", "iM.data_TATTGGGGTATGTGTC-1", "iM.data_ATTTCACGTAGACTGG-1", "iM.data_CAGATTGGTTGATGTC-1", "iM.data_GAGTTTGGTTGCCGCA-1", "iM.data_TGTCCACTCGAGATGG-1", "iM.data_TCTACATGTTCCTAGA-1", "iM.data_GATCGTAGTTCCATTT-1", "iM.data_AACCTGAAGCTGGCCT-1", "iM.data_CCCTCAAAGTCTCGTA-1", "iM.data_TGTTGGAGTACAGTAA-1", "iM.data_ATGGGTTGTTGCCAAT-1", "iM.data_AGTCTCCAGTTCTACG-1", "iM.data_AAGTACCGTCCAGCCA-1", "iM.data_GTAACACGTACGCTAT-1", "iM.data_GTTGAACAGAGAGTTT-1", "iM.data_ACTTCGCGTCACCACG-1", "iM.data_AACAAGAGTATCCTTT-1", "iM.data_ATGTCTTTCATTTGGG-1", "iM.data_CTCATGCGTAGGACTG-1", "iM.data_TTCTTGATCAAGTGGG-1", "iM.data_CTCTCAGCATAGGAGC-1", "iM.data_TTATTGCGTTCCGGTG-1", "iM.data_GTGCTTCTCTCGCCTA-1", "iM.data_GAAGGACCAGGACGAT-1", "iM.data_TTGACCCCATACGCAT-1", "iM.data_GTGAGCCTCTTCCCAG-1", "iM.data_ATGTCCCTCCGAAATC-1", "iM.data_CCTACGTTCTCTGAGA-1", "iM.data_CATACCCGTTCTAACG-1", "iM.data_AAGACAAGTACCCAGC-1", "iM.data_GCAGCTGTCGTTCAGA-1", "iM.data_GTGTTAGCACAGTCGC-1", "iM.data_ATTCATCCACACTGGC-1", "iM.data_CAACGATAGTCGCGAA-1", "iM.data_CACGGGTGTGCTGCAC-1", "iM.data_ATCGATGTCCGGCAAC-1", "iM.data_ATGACCATCACTGCTC-1", "iM.data_GAACGTTCAGTCGGTC-1", "iM.data_GTGTGATTCCTCAGAA-1", "iM.data_TCATGCCCAATGACCT-1", "iM.data_TGAGGGATCCATACTT-1", "iM.data_ATACCTTAGTGGCAGT-1", "iM.data_GGTAACTGTGAAGCTG-1", "iM.data_TAACACGCACATCCCT-1", "iM.data_CGAAGGAGTGATACAA-1", "iM.data_AGACCATGTTTCGACA-1", "iM.data_TCAAGCAAGGCTCCCA-1", "iM.data_GTTTGGACATTGCTGA-1", "iM.data_GCATGATCAGTCAGAG-1", "iM.data_GAGATGGTCGAGTCCG-1", "iM.data_GGACGTCTCTGCCCTA-1", "iM.data_CATCGGGTCTGCATGA-1", "iM.data_ATCGGATTCTATGCCC-1", "iM.data_TCTACATGTTCGGACC-1", "iM.data_AGCCACGAGGGAGATA-1", "iM.data_TACTTGTAGTGTCATC-1", "iM.data_CATGGTAGTCCTCAGG-1", "iM.data_GGGTCTGAGAAGCCAC-1", "iM.data_TCTTTGACAGAGGACT-1", "iM.data_TTTCCTCGTGGCGTAA-1", "iM.data_TAAGTCGCAAGATGTA-1", "iM.data_CTCCATGTCGGTCGAC-1", "iM.data_TATCTGTAGCTGCCTG-1", "iM.data_TGTAGACTCTGCATAG-1", "iM.data_TCCCATGGTCGGCCTA-1", "iM.data_GCAACATCAAGATGGC-1", "iM.data_TCGAAGTCAGAGATGC-1", "iM.data_ATAGGCTTCGAAGCAG-1", "iM.data_TCCTCGATCTCTTCAA-1", "iM.data_TTGCTGCTCGTTCCTG-1", "iM.data_TTCGATTCAGTCTACA-1", "iM.data_AGGATCTGTAGCGTTT-1", "iM.data_CGAGGCTTCGACATTG-1", "iM.data_TCCTTTCGTAGTTCCA-1", "iM.data_TCTTCCTAGTCTGCGC-1", "iM.data_GTGAGCCAGCACCTGC-1", "iM.data_AATTCCTGTAAGTCAA-1", "iM.data_CTCCTCCCAAACTCGT-1", "iM.data_ATTCCTACACAAGCAG-1", "iM.data_CTCTCGACATATCTGG-1", "iM.data_CAAGGGAAGTAGTCTC-1", "iM.data_GTTAGACTCGCCTTTG-1", "iM.data_CGTAAGTAGTTCCATG-1", "iM.data_AAGACAATCGATGCTA-1", "iM.data_GATGATCAGACTAGAT-1", "iM.data_CTCGAGGTCGACACTA-1", "iM.data_TCTTAGTTCTAGTTCT-1", "iM.data_CACTAAGGTCACTGAT-1", "iM.data_GTCTAGAAGTTGTCGT-1", "iM.data_TTGCATTGTGAAAGTT-1", "iM.data_TTTGTTGGTGAATTGA-1", "iM.data_AGACACTGTTTGTTGG-1", "iM.data_CTCAGAATCAAGGACG-1", "iM.data_AGACACTTCGTTAGTG-1", "iM.data_GTAAGTCTCTCTTCAA-1", "iM.data_TACGTCCCAACTAGAA-1", "iM.data_TGGAACTTCCTTCTAA-1", "iM.data_CAGATTGCAGCTGTAT-1", "iM.data_TCAATCTTCAAGTGTC-1", "iM.data_TCGTCCAGTTGCAAGG-1", "iM.data_GTCCTCACACAATTCG-1", "iM.data_CAGCCAGAGACTCATC-1", "iM.data_GAGTTACCATCAGTGT-1", "iM.data_AGCGCCATCCGTGTGG-1", "iM.data_CCGAACGAGTTTGTCG-1", "iM.data_GCATTAGTCTATTCGT-1", "iM.data_TGTGATGCAGTAGTTC-1", "iM.data_TACGCTCGTACGTGAG-1", "iM.data_TGTGTGACAAGTTTGC-1", "iM.data_AGGCTGCTCGCGCCAA-1", "iM.data_ATCTTCAGTAGGCAAC-1", "iM.data_CCTAAGAAGTCTCTGA-1", "iM.data_TCACGCTGTCGTACAT-1", "iM.data_AGACACTCAATTGCCA-1", "iM.data_AGTCATGTCTATGTGG-1", "iM.data_CGAAGGAGTCTGCCTT-1", "iM.data_CGCAGGTCACAAGTGG-1", "iM.data_TATCTTGGTGCTCTTC-1", "iM.data_CCGATCTGTTCGTACA-1", "iM.data_TAGCACATCACGATCA-1", "iM.data_CTGCCATGTGGATACG-1", "iM.data_ACCATTTTCGTCCATC-1", "iM.data_TCCGTGTTCATTGCGA-1", "iM.data_AGGTCTACAAATCAGA-1", "iM.data_AGGCTGCTCACGATAC-1", "iM.data_AGCGCCAAGTGCTCAT-1", "iM.data_TTCGCTGCAGGCAATG-1", "iM.data_TAGGGTTTCGACATCA-1", "iM.data_TTGCGTCTCATCCCGT-1", "iM.data_AGTACCATCGCCTTTG-1", "iM.data_AGATAGACAGCCTACG-1", "iM.data_GATTCGACAAGTAGTA-1", "iM.data_AGAACCTGTTTAGTCG-1", "iM.data_TGCATGAGTAGTATAG-1", "iM.data_CATTCATAGATGTAGT-1", "iM.data_GCAGCTGAGTCACTGT-1", "iM.data_ATTCTACTCGCTGACG-1", "iM.data_GGTGTCGGTCTTTCAT-1", "iM.data_AACAAGAAGCTGTCCG-1", "iM.data_AGGCCACAGATGATTG-1", "iM.data_ACTTAGGAGCGTTACT-1", "iM.data_TGTTCTATCGACATAC-1", "iM.data_TCATTCATCTTACCGC-1", "iM.data_TAGGTTGAGTACCCTA-1", "iM.data_TATCAGGTCATGCCCT-1", "iM.data_CATACAGGTCGCAGTC-1", "iM.data_ATCATTCGTGGGTTGA-1", "iM.data_CTTACCGCACCTTCGT-1", "iM.data_ACTTATCCACAAGTTC-1", "iM.data_TACAGGTCAGGAGACT-1", "iM.data_AGGATCTCAAGGCAAC-1", "iM.data_CATGGATTCGGTCATA-1", "iM.data_GTTACGACATGCTGCG-1", "iM.data_TGTGCGGGTCAGACGA-1", "iM.data_CCCTAACTCATCACAG-1", "iM.data_TATTCCACAAGTTTGC-1", "iM.data_TGTTGGAGTTCATCGA-1", "iM.data_AGTCATGGTATACCTG-1", "iM.data_GTCTGTCGTCATAGTC-1", "iM.data_ATGAAAGAGATTTGCC-1", "iM.data_TGTTGGACATGGCCCA-1", "iM.data_CATGGTAAGGGCTAAC-1", "iM.data_GCACGTGAGTATCCTG-1", "iM.data_TTGGATGCAGTGTGGA-1", "iM.data_TTGGATGCATCTGCGG-1", "iM.data_GAGTTACTCGGCGATC-1", "iM.data_TCGATTTAGTGTTCCA-1", "iM.data_TCAATTCTCTCTCGCA-1", "iM.data_TTGGGTAGTTCCGCGA-1", "iM.data_TTCTGTACACGCGTGT-1", "iM.data_AACCTTTTCGTCGCTT-1", "iM.data_GTATTGGTCTGAGCAT-1", "iM.data_CTACCCACAGAGACTG-1", "iM.data_CAAGCTAAGCCGAATG-1", "iM.data_GAATCGTGTCTCTCCA-1", "iM.data_GTCTGTCAGGCTAAAT-1", "iM.data_GGAGGTAGTCCGTTTC-1", "iM.data_TTTGTTGTCTTAGCCC-1", "iM.data_TGATTTCAGCCTTGAT-1", "iM.data_CCAAGCGGTGGAGAAA-1", "iM.data_ATGAGGGCAGTCCGTG-1", "iM.data_GTTACGATCTCGAACA-1", "iM.data_TCCGGGAGTCAAAGAT-1", "iM.data_GTAACCATCTTCTGTA-1", "iM.data_GATCCCTGTCATCCGG-1", "iM.data_CGGGCATTCTAGGCCG-1", "iM.data_GCAGTTAGTACCATAC-1", "iM.data_CACTAAGTCGTTGTTT-1", "iM.data_CCACAAAGTATGTGTC-1", "iM.data_TCGCAGGTCACTTGGA-1", "iM.data_TTTACTGCAAATGGCG-1", "iM.data_TCATGAGTCGATTGAC-1", "iM.data_GACTTCCGTTCAGCGC-1", "iM.data_AGAGCAGGTGAGCCAA-1", "iM.data_GAAATGACAGCCATTA-1", "iM.data_ACCTGAACACTGAGTT-1", "iM.data_AATTCCTAGACGGTTG-1", "iM.data_GAGTCATTCCATTTGT-1", "iM.data_ACTTATCTCTATCGCC-1", "iM.data_TACAACGTCTGAGAGG-1", "iM.data_TCGACCTCATGCTGCG-1", "iM.data_TCTGGCTTCCGTTGGG-1", "iM.data_TGACAGTTCGATTCCC-1", "iM.data_AACAAAGGTACTGACT-1", "iM.data_CGAGTGCTCGCACGAC-1", "iM.data_TACCTCGGTCACATTG-1", "iM.data_GCACGTGGTGCATACT-1", "iM.data_TCTGGCTGTGATCGTT-1", "iM.data_AATGGCTTCTGGACTA-1", "iM.data_CTCAACCCATAGATGA-1", "iM.data_CCGTTCATCTCGGGAC-1", "iM.data_GATCAGTCATCTGGGC-1", "iM.data_TTTGGTTAGACGCATG-1", "iM.data_GTTTACTAGAAGCTGC-1", "iM.data_GTGCGTGGTCATCTAG-1", "iM.data_AATGGAATCCCGAGGT-1", "iM.data_CTCATTAGTTGACTAC-1", "iM.data_TCTTAGTTCGGCATAT-1", "iM.data_GGGACTCTCACTGAAC-1", "iM.data_CACCGTTAGATCGCTT-1", "iM.data_ATTCTACAGAAGTCAT-1", "iM.data_TAGGGTTGTACACTCA-1", "iM.data_CATGGATGTTAGGGAC-1", "iM.data_ACAAGCTAGTAGAATC-1", "iM.data_GTGCGTGGTATGGTAA-1", "iM.data_GTAGAGGGTCCTGAAT-1", "iM.data_ATCCACCTCAAGCTGT-1", "iM.data_GATAGAAAGAAGGCTC-1", "iM.data_AGAACAATCTTGTTAC-1", "iM.data_CTGAATGGTTGCAACT-1", "iM.data_GGTGATTGTACCATAC-1", "iM.data_TTGTTTGTCGCAGTTA-1", "iM.data_GCTTGGGCAACCGTGC-1", "iM.data_ACTGCAATCAGGCGAA-1", "iM.data_ATTTACCCAAAGTATG-1", "iM.data_CCCTCAAGTATTGAGA-1", "iM.data_GAAGAATTCTTTGATC-1", "iM.data_TGCAGGCAGAAGCGCT-1", "iM.data_TCCAGAATCCCTTTGG-1", "iM.data_CCACGAGCACTATCCC-1", "iM.data_CTTCGGTGTCTTGCGG-1", "iM.data_CCTCCTCTCGATTCCC-1", "iM.data_TCCTTTCAGTACGAGC-1", "iM.data_TTGCATTAGCAGTACG-1", "iM.data_CAGCGTGTCAAGCCGC-1", "iM.data_ATGGAGGGTAGGTGCA-1", "iM.data_CTTCCTTCAAGAGCTG-1", "iM.data_AGACTCATCCGTTGGG-1", "iM.data_AAGTCGTCACACAGCC-1", "iM.data_AGTTCCCGTCCACAGC-1", "iM.data_CTAACCCGTACCTGTA-1", "iM.data_AGGACGAGTTTGGAGG-1", "iM.data_ACCCTTGGTTACGCCG-1", "iM.data_ACTTCGCAGACTCATC-1", "iM.data_ATGAGGGTCGGAAACG-1", "iM.data_AACCCAAGTAGACGGT-1", "iM.data_TAGACTGCAGTAACCT-1", "iM.data_CCCTTAGCAGTCTTCC-1", "iM.data_GACGTTATCTCGCTTG-1", "iM.data_GAGCTGCAGTAGCATA-1", "iM.data_TGTGGCGTCGTCGCTT-1", "iM.data_AATTCCTAGTAGGAAG-1", "iM.data_ACGGGTCCAGGCAATG-1", "iM.data_GACTCTCGTGCAACGA-1", "iM.data_ATATCCTCATGAGGGT-1", "iM.data_GGAATGGTCAAGCTGT-1", "iM.data_CATCGCTAGCGCTGCT-1", "iM.data_ATTATCCAGCCTCATA-1", "iM.data_TGCTCCAAGAGGTCGT-1", "iM.data_TGCATGAAGGCATGCA-1", "iM.data_CCGGACACACCAAAGG-1", "iM.data_TCATGGATCCATCTAT-1", "iM.data_CTTCTAATCGGCTGGT-1", "iM.data_ATTCAGGGTACGATGG-1", "iM.data_AGATGAAGTACGTGAG-1", "iM.data_ATTCAGGAGGGCAGGA-1", "iM.data_ATTACTCAGGGCCAAT-1", "iM.data_CAACAGTAGTATCCTG-1", "iM.data_AGCGCTGAGCATATGA-1", "iM.data_CCAATTTAGTTGTAAG-1", "iM.data_ACGTAGTCACTAGAGG-1", "iM.data_AATGGAATCCCGAAAT-1", "iM.data_GAAGAATTCGGACCAC-1", "iM.data_CGCAGGTGTTCAGGTT-1", "iM.data_TTCCTAAGTTATTCCT-1", "iM.data_GGTAACTCAGCTATTG-1", "iM.data_TCACATTGTAGTGATA-1", "iM.data_GTGTTAGGTGCCTACG-1", "iM.data_ACTTATCCACTCGATA-1", "iM.data_GTAGGAGTCGTGGAAG-1", "iM.data_TTTCAGTGTGATTCTG-1", "iM.data_GCTTCACGTCTACAAC-1", "iM.data_CTCAACCGTCTGATCA-1", "iM.data_GTAATCGTCTTCGTAT-1", "iM.data_GGCTTTCAGTTCTCTT-1", "iM.data_GAGTTTGTCATTATCC-1", "iM.data_GTTATGGGTTCGTACA-1", "iM.data_ACCTGTCAGGATACGC-1", "iM.data_TAATTCCAGGCTCTCG-1", "iM.data_GTCTGTCTCCTTGGAA-1", "iM.data_CGTGCTTTCCTAGCTC-1", "iM.data_AGCGCCACAAATTGGA-1", "iM.data_GACTGATTCTAAGCGT-1", "iM.data_TTCAGGATCTACTTCA-1", "iM.data_GGGTCTGGTGCCCGTA-1", "iM.data_TTCCACGCAAGGGCAT-1", "iM.data_GGGTTTACACCAGCTG-1", "iM.data_TCGCTTGGTGCCTATA-1", "iM.data_CATTCATTCCCGTTCA-1", "iM.data_ATCACAGTCCATTTGT-1", "iM.data_CTACAGACACGCAAAG-1", "iM.data_TAGGAGGTCATGACAC-1", "iM.data_GGGTCACGTGAGCGAT-1", "iM.data_AGAGCAGCACCGTGCA-1", "iM.data_TTCAATCCACTAGGCC-1", "iM.data_CTGGTCTAGGGCTAAC-1", "iM.data_TTACCATAGCTTAAGA-1", "iM.data_CACGTGGTCACACCCT-1", "iM.data_ATCACTTAGTTAGAAC-1", "iM.data_CAAGGGAGTCAGGAGT-1", "iM.data_TTACCGCCAGAGGAAA-1", "iM.data_GCATGATAGGCATGGT-1", "iM.data_TTTCCTCCAGCGTGCT-1", "iM.data_TAGACCAGTCCTTGTC-1", "iM.data_ACTGTCCCAACTCATG-1", "iM.data_TAGGTTGTCCTTATCA-1", "iM.data_TTACTGTCAACGTAAA-1", "iM.data_ATCACAGAGACGGATC-1", "iM.data_CACGGGTGTATACCTG-1", "iM.data_CAATGACTCGATACAC-1", "iM.data_TGTACAGAGTTCGGTT-1", "iM.data_ATTACTCGTCTCCTGT-1", "iM.data_CATTCTATCGCAGATT-1", "iM.data_CCTCTAGAGCAATTCC-1", "iM.data_AGGTTACTCCGGTAAT-1", "iM.data_AAAGGGCGTCGAACAG-1", "iM.data_CAACCTCGTAAGCGGT-1", "iM.data_AAACGCTCAACAAGTA-1", "iM.data_ATGCATGGTCAGGTGA-1", "iM.data_GGGATCCGTATATGGA-1", "iM.data_CATTGTTGTAGCTAAA-1", "iM.data_TTGCCTGGTGGATCAG-1", "iM.data_TACACCCAGCATAGGC-1", "iM.data_AAGTCGTAGCACTTTG-1", "iM.data_GCCCGAACAGGCATGA-1", "iM.data_CATTGTTAGATAGTCA-1", "iM.data_GTTCCGTCAGTTTCAG-1", "iM.data_TGTGCGGTCCTGTTAT-1", "iM.data_ACGCACGCATGGCTGC-1", "iM.data_TGAGGGATCCGTCCTA-1", "iM.data_AGAGCAGTCGAGCTGC-1", "iM.data_TCACGGGGTGCCCACA-1", "iM.data_TATCCTAGTTCAGTAC-1", "iM.data_ACTTTGTTCTGCGGAC-1", "iM.data_TGTGTGATCGTCAAAC-1", "iM.data_TGATGGTAGGCCACTC-1", "iM.data_TCCTCTTGTGTATACC-1", "iM.data_GGTTGTAAGTATTAGG-1", "iM.data_TTCTTCCGTTTGAACC-1", "iM.data_GTAACACTCCTCACTG-1", "iM.data_GCCCAGACATACGCAT-1", "iM.data_TGTGCGGTCATTTGCT-1", "iM.data_CAACCTCAGTAGGCCA-1", "iM.data_AGGATCTCAATAGAGT-1", "iM.data_GGTAGAGAGGAAGAAC-1", "iM.data_GGGATGATCCATCCGT-1", "iM.data_GTTGTCCTCTATCCAT-1", "iM.data_GTCCCATGTTCGGTAT-1", "iM.data_TTTATGCCAATACCTG-1", "iM.data_AGAAATGCATGAGGGT-1", "iM.data_GTGACGCCACGTACTA-1", "iM.data_TAAGTCGTCTCGTGGG-1", "iM.data_GCTGCAGGTACAACGG-1", "iM.data_CCACGAGTCACTCCGT-1", "iM.data_AGGCATTGTGTGACCC-1", "iM.data_GCAGGCTCATCATTGG-1", "iM.data_GACTATGCAGGGATAC-1", "iM.data_CATGCAAAGTTGTAGA-1", "iM.data_ATCCATTAGGCTAGCA-1", "iM.data_AGGACTTCAGTGGCTC-1", "iM.data_CGAAGTTCAAAGGAGA-1", "iM.data_TCGCAGGCATGTGGCC-1", "iM.data_AGTCAACTCCAACTGA-1", "iM.data_CGCATAAGTATGCTAC-1", "iM.data_TTTACTGGTGATAGAT-1", "iM.data_GGTTCTCTCCGCACTT-1", "iM.data_TCTCACGCATATACCG-1", "iM.data_GACTGATGTTCCGCAG-1", "iM.data_GAAGGGTTCGATGCAT-1", "iM.data_AACAAGAGTTTACTGG-1", "iM.data_TTCATTGCACTTTATC-1", "iM.data_AGTACTGGTAGCACAG-1", "iM.data_GATGATCAGTTTGAGA-1", "iM.data_TCATACTCAGTCGTTA-1", "iM.data_TTCCTTCCAGGAATCG-1", "iM.data_CCTGTTGTCTACACAG-1", "iM.data_TCAGTTTAGACTTCGT-1", "iM.data_ACTGATGTCAAGAGGC-1", "iM.data_TCCGAAATCGCACGAC-1", "iM.data_TACCTGCTCGTTGTAG-1", "iM.data_CGGAACCTCGTCTCAC-1", "iM.data_ACTCCCAGTATACCCA-1", "iM.data_GGCAGTCTCTAGTACG-1", "iM.data_GGGTGTCGTCAAAGTA-1", "iM.data_AATCGTGGTAGCTCGC-1", "iM.data_CAAAGAATCTATTTCG-1", "iM.data_ACGTTCCAGTTCAACC-1", "iM.data_CAGCAATAGTCTAACC-1", "iM.data_ATGAGTCGTTAAGGGC-1", "iM.data_GGTTGTAAGTGCAGGT-1", "iM.data_ATCGTAGCAAGTGTCT-1", "iM.data_TTGTTGTCAGCTACTA-1", "iM.data_TTCTGTAAGCCACAAG-1", "iM.data_CTTGAGACATAAGCAA-1", "iM.data_TCCTCCCAGAATCGAT-1", "iM.data_TCATCATGTGTGTCGC-1", "iM.data_ATAGGCTCAATTGCGT-1", "iM.data_GCCAGGTGTAGGGTAC-1", "iM.data_AGCATCACATCACGGC-1", "iM.data_ACGGAAGGTGAAGCTG-1", "iM.data_GCTGAATGTCCTCAGG-1", "iM.data_CCAATGACAGTGAGCA-1", "iM.data_CTGGACGCAACTTGCA-1", "iM.data_CTGTGGGGTCAGACGA-1", "iM.data_TGTTCATCATGTGGCC-1", "iM.data_TGCCGAGTCTGCCTGT-1", "iM.data_TCAAGACAGCCTGAGA-1", "iM.data_ACACCAAAGCGTTCAT-1", "iM.data_TGAGCATCAGGCCTGT-1", "iM.data_GGGAGTAAGTAGACCG-1", "iM.data_GAGTGTTGTTGTAGCT-1", "iM.data_AGGGCTCCACAAACGG-1", "iM.data_ATTACTCTCCTTATCA-1", "iM.data_TCAATCTTCAGCCCAG-1", "iM.data_CTCAATTGTTGAGTCT-1", "iM.data_ACTTATCGTCGTACAT-1", "iM.data_GGGCGTTTCGCAATGT-1", "iM.data_AGGTTACGTGATGTAA-1", "iM.data_CCAAGCGAGGTCGCCT-1", "iM.data_ATCAGGTTCAGACCGC-1", "iM.data_AGCTTCCGTCTACGAT-1", "iM.data_TATTCCATCCGACATA-1", "iM.data_CTCTCAGGTAGCTTAC-1", "iM.data_ACGGTCGGTGTTAAAG-1", "iM.data_TCCAGAAAGACGCCAA-1", "iM.data_AGTGTTGCACAGCTGC-1", "iM.data_CTGTACCGTCAACACT-1", "iM.data_CACAGATTCCGCATAA-1", "iM.data_TATCCTATCATGTCAG-1", "iM.data_TCTATCATCTTTCCAA-1", "iM.data_ACTGTGATCTCGCCTA-1", "iM.data_TAACGACTCTTCTGGC-1", "iM.data_CACTAAGCACTACCGG-1", "iM.data_ACCCAAAAGGGACCAT-1", "iM.data_ATCCACCGTTGCCAAT-1", "iM.data_TCCCATGGTACAAAGT-1", "iM.data_TCATACTTCCCATAGA-1", "iM.data_ATCACGATCAATCCGA-1", "iM.data_TCAGTTTCAAGACTGG-1", "iM.data_GACGTTAGTTAGCTAC-1", "iM.data_GGACGTCCACTTCCTG-1", "iM.data_CTAACCCAGGGAGGTG-1", "iM.data_TGGTGATCATCATTGG-1", "iM.data_ATTCAGGCAGTAGGAC-1", "iM.data_GATAGAAGTGGATCAG-1", "iM.data_TAAGTCGGTCCACTTC-1", "iM.data_AGCTCAATCCAGTGTA-1", "iM.data_GACTTCCGTTCTCTCG-1", "iM.data_GGTTCTCAGAGGCGTT-1", "iM.data_TCAAGTGCAAACTCTG-1", "iM.data_GAGTTGTTCAACTCTT-1", "iM.data_TCCACCAGTTCTCCTG-1", "iM.data_TTCTTGATCTTCGGAA-1", "iM.data_ATTCCCGGTCGCGTCA-1", "iM.data_TACGGTAGTGCTCTCT-1", "iM.data_CTCCAACGTGCATACT-1", "iM.data_CGTCAAAAGCTCTTCC-1", "iM.data_GTCGCGATCCTGTTAT-1", "iM.data_TGGAGGACAGCTACAT-1", "iM.data_TGACGCGGTTAGTCGT-1", "iM.data_GTCATTTTCACCACAA-1", "iM.data_CCGGACACAGTCGCTG-1", "iM.data_ACAACCAGTGGACAGT-1", "iM.data_AACCAACTCGCAGAGA-1", "iM.data_GACTGATTCACCACAA-1", "iM.data_CCTCAGTCAGCTACTA-1", "iM.data_GATCCCTGTGTTGACT-1", "iM.data_AAAGTCCGTTGCCATA-1", "iM.data_TCGTAGAGTCTACGAT-1", "iM.data_AGTGATCGTGTCGCTG-1", "iM.data_GTGTTAGTCTAGATCG-1", "iM.data_GAAATGATCTGGTTGA-1", "iM.data_CAGGCCACAGGTTCCG-1", "iM.data_ACTACGAGTAATTGGA-1", "iM.data_AGTTAGCAGCTCCACG-1", "iM.data_TCGAACATCTGACCCT-1", "iM.data_GCCAGCAGTTTCAGAC-1", "iM.data_TGTGGCGGTTTCGTAG-1", "iM.data_ACTATTCAGGTTAGTA-1", "iM.data_AGGGTTTTCCATCTAT-1", "iM.data_CATAAGCAGTTGCCTA-1", "iM.data_GTTACAGGTTTGGCTA-1", "iM.data_GCAACATTCCATGCAA-1", "iM.data_ACAAGCTCAGATTCGT-1", "iM.data_AACAGGGTCCCACAGG-1", "iM.data_TTGGATGGTTGGCTAT-1", "iM.data_TACCTGCCATACAGGG-1", "iM.data_GAAGAATCACCGTCTT-1", "iM.data_AGTCTCCTCTCGCTTG-1", "iM.data_AGGCTGCCAGCGAACA-1", "iM.data_TCCTTCTTCTCGAGTA-1", "iM.data_GGAGATGTCCCAGGCA-1", "iM.data_CTCCCAACATGTGACT-1", "iM.data_TGAGACTAGATCGCTT-1", "iM.data_CGGGCATAGAATCCCT-1", "iM.data_ACCAAACAGCCAGACA-1", "iM.data_ATGATCGGTCGATTTG-1", "iM.data_TGTAAGCTCAAGCTGT-1", "iM.data_TCAGTCCAGTGGAATT-1", "iM.data_GTGGCGTAGCCTATTG-1", "iM.data_TCAAGCAGTCGCCACA-1", "iM.data_TAACTTCGTGTCTAAC-1", "iM.data_TAGACCAGTAGCTGCC-1", "iM.data_ACCCTTGAGTCATCCA-1", "iM.data_AGACAAACATGTGCCG-1", "iM.data_TACATTCTCCCTCATG-1", "iM.data_AACCAACGTCGTACTA-1", "iM.data_CGCGTGAGTTAATCGC-1", "iM.data_ATAGAGAAGACATATG-1", "iM.data_TGATGCACATTGTGCA-1", "iM.data_GATCAGTTCCCTCTCC-1", "iM.data_AGTCTCCGTCGATGCC-1", "iM.data_GACTATGAGCTACTAC-1", "iM.data_CTCAGGGGTGATAGAT-1", "iM.data_AATGAAGAGAGAGCCT-1", "iM.data_CACCAAAGTGATCGTT-1", "iM.data_TGGTACAGTCTTCAAG-1", "iM.data_GACGTTACATCAGCTA-1", "iM.data_CTCCATGTCTTGTTAC-1", "iM.data_CTGGACGCATACACCA-1", "iM.data_AGTCTCCGTCTCGCGA-1", "iM.data_GTATTTCTCCTCTCTT-1", "iM.data_ATTCAGGGTCGAATTC-1", "iM.data_ATGAGTCGTACTGGGA-1", "iM.data_AGCATCATCTGTCCGT-1", "iM.data_GGTCACGCACCCGTAG-1", "iM.data_AGTGTTGAGCACTCGC-1", "iM.data_TACTGCCTCCAACTAG-1", "iM.data_TCGGTCTAGTCTCGTA-1", "iM.data_TCATCCGGTGTTCAGT-1", "iM.data_CATCGCTTCTTCTAAC-1", "iM.data_TTCTTGACAGATGCGA-1", "iM.data_TCATATCAGAGCCGTA-1", "iM.data_GTCAAGTTCTTAGCCC-1", "iM.data_ACGTACACAAATCAAG-1", "iM.data_GATGGAGCATTGTACG-1", "iM.data_CATCGCTCATGACGTT-1", "iM.data_TCACGCTGTGCTTCAA-1", "iM.data_TGCACGGCACCAGCGT-1", "iM.data_CAGCGTGTCTTTGCGC-1", "iM.data_CTTCAATGTGTCTTCC-1", "iM.data_TACTGCCCACAGGATG-1", "iM.data_TTGATGGCACGAGGTA-1", "iM.data_CGGCAGTGTCCGGTCA-1", "iM.data_CTGAGGCAGTATGAAC-1", "iM.data_TTTGTTGAGTCATGGG-1", "iM.data_AAAGGATAGCTGACAG-1", "iM.data_CCTAAGACAACTGCTA-1", "iM.data_CCCTCTCAGTAGGTTA-1", "iM.data_CGTGAATCACACACGC-1", "iM.data_CGTGCTTGTGTACAGG-1", "iM.data_TCAGTTTCAAGCGAGT-1", "iM.data_AGATAGAGTCTCAGAT-1", "iM.data_AGCCAATGTAGAATAC-1", "iM.data_TGCTCGTCACGACGTC-1", "iM.data_TTGTTTGGTCCGGCAT-1", "iM.data_GTAAGTCCAACTAGAA-1", "iM.data_CAAGCTAAGTCCCGAC-1", "iM.data_CATCCCAAGCACTCTA-1", "iM.data_CGAGGCTAGTTACTCG-1", "iM.data_TGGGCTGCACATATGC-1", "iM.data_TTCCTTCTCGTGTGAT-1", "iM.data_ATTTCACGTATCGCAT-1", "iM.data_CTCCGATAGAAGAGCA-1", "iM.data_TGTTTGTCATCTTAGG-1", "iM.data_GCAACCGTCAGCAATC-1", "iM.data_CCTTGTGAGGACCCAA-1", "iM.data_GCAGCTGAGCGTTCCG-1", "iM.data_GTGAGCCTCAGGAACG-1", "iM.data_ACTATTCTCCCAAGCG-1", "iM.data_TCACTATTCGAGAGAC-1", "iM.data_TCGAACAAGTGGATAT-1", "iM.data_TTCTTGAGTGAGTAAT-1", "iM.data_GAGGCCTGTAGCTGCC-1", "iM.data_AGGCCACAGAGTTGCG-1", "iM.data_CCTCTCCAGTAGACCG-1", "iM.data_CTGCCATCAACGACAG-1", "iM.data_TAACACGAGTTACGTC-1", "iM.data_AGGCATTAGGGCTGAT-1", "iM.data_AACAGGGTCTGACAGT-1", "iM.data_AGGAATAGTCTACAAC-1", "iM.data_TCCTTTCAGCGCAATG-1", "iM.data_GTTACAGGTCATCTAG-1", "iM.data_ATAGGCTAGATTGATG-1", "iM.data_CTGGACGGTCGCATTA-1", "iM.data_TCAGTTTTCATCACCC-1", "iM.data_AGTAGTCCATAGACTC-1", "iM.data_ATGCGATGTTGGAGGT-1", "iM.data_CATCGCTGTAATACCC-1", "iM.data_CTAACCCCACATACTG-1", "iM.data_TGAGGTTGTGGTAACG-1", "iM.data_TAAGCGTAGGGTTAGC-1", "iM.data_CAATTTCCAGTAACCT-1", "iM.data_CATGAGTAGTAGCCAG-1", "iM.data_GCCAACGTCTGGCCGA-1", "iM.data_TCGCTCACACAATGTC-1", "iM.data_ATGAAAGTCGCCAGTG-1", "iM.data_GTATTTCAGGTCCAGA-1", "iM.data_TACTTCATCCGCACGA-1", "iM.data_CATAAGCCACATGGTT-1", "iM.data_TAATTCCCAGCTTTGA-1", "iM.data_TTCCAATGTACGAGCA-1", "iM.data_AGATGAAAGTGTTCCA-1", "iM.data_CCCTTAGCAAACGAGC-1", "iM.data_TCATCATCAATCTCGA-1", "iM.data_GTGGAAGCATTACTCT-1", "iM.data_CAAGGGAGTTGCCGAC-1", "iM.data_GGCTGTGAGCCGCTTG-1", "iM.data_ACACAGTCACGCGTGT-1", "iM.data_ATCATTCCAGAGCTAG-1", "iM.data_CTTCCGACAACGACTT-1", "iM.data_TCTCCGAGTACATACC-1", "iM.data_ACGTACACACTTTAGG-1", "iM.data_TTCAATCGTATCAGCT-1", "iM.data_ATGGATCAGACGACGT-1", "iM.data_AGTCACATCGGTGAAG-1", "iM.data_AGGTCATCATAGGCGA-1", "iM.data_GCACATATCACATTGG-1", "iM.data_CCTCATGTCGAAATCC-1", "iM.data_ACGATCACAGGTGGAT-1", "iM.data_CTCAACCTCCCATTTA-1", "iM.data_ACCTGTCTCGTTGTAG-1", "iM.data_TCAGGTATCTGGGCAC-1", "iM.data_TCCCAGTAGGGTTGCA-1", "iM.data_GACTCTCTCTACTGCC-1", "iM.data_TCGTCCACATGTTTGG-1", "iM.data_CTACTATTCCTGTACC-1", "iM.data_GTCAAACCAGGCCTGT-1", "iM.data_TCATTCAAGCTTCTAG-1", "iM.data_AATGAAGAGACATAGT-1", "iM.data_CCTCCAAAGATGACCG-1", "iM.data_TAGACTGCAGAGGCAT-1", "iM.data_CATGGTATCTGGTGCG-1", "iM.data_AGTTAGCAGGCGAACT-1", "iM.data_TCGACCTGTCTGTGTA-1", "iM.data_CTGTGAACACTTCAGA-1", "iM.data_GGGACAACAGCTACTA-1", "iM.data_TCACATTTCTGCTAGA-1", "iM.data_ACTATCTAGTAGCAAT-1", "iM.data_TGCTCCATCGAACACT-1", "iM.data_TCCTAATTCGTTCAGA-1", "iM.data_GGTGGCTCAGAATTCC-1", "iM.data_CCTGCATGTGGAGAAA-1", "iM.data_TTGGATGTCCTTCTAA-1", "iM.data_GAGGGATAGCCTGCCA-1", "iM.data_TACCTGCGTCATAACC-1", "iM.data_CCCTAACTCTTCTGGC-1", "iM.data_CATGCTCAGAAACTCA-1", "iM.data_CCCGAAGCAGCAGTGA-1", "iM.data_AAAGAACCACTCGATA-1", "iM.data_ACTGTCCCAGTCACGC-1", "iM.data_AGTACTGGTCGTATGT-1", "iM.data_TTCTTGAGTGCTGTCG-1", "iM.data_CTCACTGGTAGATCCT-1", "iM.data_TGCAGTAAGCCTGACC-1", "iM.data_TGAGGAGAGACCTTTG-1", "iM.data_GTTCTATCATACTTTC-1", "iM.data_AGGAAATTCCACAGCG-1", "iM.data_GGGCTACTCGTGGAAG-1", "iM.data_CCGGGTACAGCTGGTC-1", "iM.data_TAGGTTGCAGCGAACA-1", "iM.data_ATCCCTGAGGACTTCT-1", "iM.data_TTCACGCCATGTCAGT-1", "iM.data_GGTGGCTTCGCACTCT-1", "iM.data_AAGACAAAGTTGCATC-1", "iM.data_TCGCACTTCACTACTT-1", "iM.data_GAATAGACACCGTGCA-1", "iM.data_TACCGAATCACCTGTC-1", "iM.data_AGGCCACAGTAATACG-1", "iM.data_CAATCGAAGAATCTAG-1", "iM.data_GTTAGACTCTTGCAAG-1", "iM.data_AGGCCACCAAGTGCTT-1", "iM.data_TGGTGATGTGAGCAGT-1", "iM.data_TCATCCGTCGACCACG-1", "iM.data_CATCAAGGTGATGGCA-1", "iM.data_GTGAGTTTCTGTTGGA-1", "iM.data_TGGAGGATCAGTGATC-1", "iM.data_ATCACGACACACGTGC-1", "iM.data_ATTCAGGTCACTCACC-1", "iM.data_CTAACCCGTTGTGTAC-1", "iM.data_CCTCAGTTCTCATGCC-1", "iM.data_GGGTATTTCAATCCGA-1", "iM.data_ATGGGTTTCATGAAAG-1", "iM.data_CCTCCAACACAGTCAT-1", "iM.data_GCAACCGTCTGTACAG-1", "iM.data_GACAGCCCAGTCGAGA-1", "iM.data_ACGTAACGTAGTCTGT-1", "iM.data_TCTGGCTCACCAGACC-1", "iM.data_GAGTTACCAGCTCCTT-1", "iM.data_AATGACCGTCCGAAAG-1", "iM.data_TCACTCGGTCACGCTG-1", "iM.data_AGGCCACTCATTTCGT-1", "iM.data_CACTGGGAGCTGCCTG-1", "iM.data_GGTGGCTGTTAAAGTG-1", "iM.data_CTCAGAATCGTGCTCT-1", "iM.data_CGTGCTTGTGTGGACA-1", "iM.data_GAGTGAGGTCGGTGTC-1", "iM.data_TCACGCTCATGTGTCA-1", "iM.data_AAGACTCTCAAGAGTA-1", "iM.data_CCCTCAAGTTTGCAGT-1", "iM.data_GTAGAAAAGCCTGTCG-1", "iM.data_TGACTCCAGCAATTCC-1", "iM.data_CCGTAGGCAGATCCTA-1", "iM.data_TCCTCTTGTCGTATGT-1", "iM.data_GTGATGTCAGGAAGTC-1", "iM.data_GTCTGTCGTCGTAATC-1", "iM.data_GCAACCGGTGGATCGA-1", "iM.data_GTTCATTTCCCGTGTT-1", "iM.data_GAGCCTGGTCAGGTAG-1", "iM.data_CCGTTCAAGTCCCAAT-1", "iM.data_CAACAGTGTGGCTTAT-1", "iM.data_AAGATAGGTAGACACG-1", "iM.data_TAGAGTCTCGGCTCTT-1", "iM.data_AACCCAACAAGGCGTA-1", "iM.data_CATTGAGTCGTGGCTG-1", "iM.data_GAAGGACAGGTCGTAG-1", "iM.data_GACTCAATCTGGCCAG-1", "iM.data_TCATTCATCTATGTGG-1", "iM.data_AGGGCTCAGCATACTC-1", "iM.data_GTTATGGAGTCTAGCT-1", "iM.data_CATCCCAAGAAATTCG-1", "iM.data_ATGCGATGTAGCTTTG-1", "iM.data_AGCCAATTCGGTTCAA-1", "iM.data_GACTCTCTCCGTAGGC-1", "iM.data_GTGACGCCACACGGAA-1", "iM.data_ACAACCACACACAGCC-1", "iM.data_CACGTTCTCGGCATTA-1", "iM.data_TGTAAGCCAACACAAA-1", "iM.data_TACAGGTAGCTCAGAG-1", "iM.data_TCAATCTAGTAATTGG-1", "iM.data_TCATGAGAGTAGCAAT-1", "iM.data_GGTCACGTCAACTGGT-1", "iM.data_GGGATCCGTGCATTTG-1", "iM.data_CTGAGGCGTTGTTGAC-1", "iM.data_CTCAAGACAACGCCCA-1", "iM.data_CTGGTCTGTAGGATAT-1", "iM.data_AGATAGATCTATCCAT-1", "iM.data_CCTCATGTCAAGGTGG-1", "iM.data_AGAACCTCAGGGAATC-1", "iM.data_TAAGCCATCTCGTGAA-1", "iM.data_CTCACTGGTAATACCC-1", "iM.data_GTTCGCTTCCGCTGTT-1", "iM.data_TTGGGATTCAGACTGT-1", "iM.data_GCATGATTCAGCACCG-1", "iM.data_CGTCAAAAGGCAGCTA-1", "iM.data_AGACAGGAGCACGATG-1", "iM.data_CTGTAGAGTTGCCGCA-1", "iM.data_AACACACTCCACAGCG-1", "iM.data_CTGATCCTCAGCATTG-1", "iM.data_GGAACCCGTGTTAAAG-1", "iM.data_CTACCTGTCTAGCCAA-1", "iM.data_CGACAGCAGCGTATAA-1", "iM.data_TTACAGGAGGTCGAGT-1", "iM.data_AGTACCAAGCCACTCG-1", "iM.data_CGCATAACAATAGGGC-1", "iM.data_TAGATCGAGGAGAGTA-1", "iM.data_CAAGGGATCTCGTGGG-1", "iM.data_CGTAATGTCGACGCTG-1", "iM.data_TGTCCCACACATCATG-1", "iM.data_ATTCATCTCGTAGTGT-1", "iM.data_ATTCTACGTGTGTCGC-1", "iM.data_TGAACGTCATGGTGGA-1", "iM.data_TGATGGTTCTGCATGA-1", "iM.data_AAGATAGAGAGAGCGG-1", "iM.data_GTCACGGTCATGTCAG-1", "iM.data_TTCCTAAGTCTCAAGT-1", "iM.data_GTGCAGCTCAAGCTGT-1", "iM.data_CTGGCAGAGGTACAAT-1", "iM.data_AGTAACCAGAGTCAAT-1", "iM.data_CGCATGGGTGAGCTCC-1", "iM.data_TAGACCACAACCAATC-1", "iM.data_GTTAGTGTCTACTCAT-1", "iM.data_CTTCGGTGTGGCAGAT-1", "iM.data_GTTCATTGTAAGATCA-1", "iM.data_TCAGGGCCAATTGGTC-1", "iM.data_AGTCACAGTTCAAGGG-1", "iM.data_CGGAATTCACATTCGA-1", "iM.data_GGGTTTACAGTAGTTC-1", "iM.data_AGGTCTATCGCTACGG-1", "iM.data_CAAGCTAGTTCCTTGC-1", "iM.data_TAGACTGCACGTATAC-1", "iM.data_ACGGGTCGTTAAGCAA-1", "iM.data_TACCGAACACAACGCC-1", "iM.data_AAGATAGGTAATTGGA-1", "iM.data_ATAGACCCAGAGTCAG-1", "iM.data_GGTGAAGAGACTTCAC-1", "iM.data_ATAGAGATCTGACAGT-1", "iM.data_CATTGCCCAGCGTTTA-1", "iM.data_TCATTGTTCCACTTCG-1", "iM.data_AACCATGAGAGTAACT-1", "iM.data_CTCCTCCAGTCACACT-1", "iM.data_AGGACGATCGCGATCG-1", "iM.data_AACCATGGTTGGGTTT-1", "iM.data_TGCATCCTCGGACTTA-1", "iM.data_TCCTAATCACCGTCTT-1", "iM.data_CTACCTGGTTAGGGAC-1", "iM.data_AGGATAAGTTGGACCC-1", "iM.data_TAACCAGCATAACCCA-1", "iM.data_CTTACCGTCTCTCCGA-1", "iM.data_TGCTCGTAGTAACAGT-1", "iM.data_TACTTGTTCAGTCTTT-1", "iM.data_TTCTGTATCTCGTGAA-1", "iM.data_AACCTGAAGGTCCCGT-1", "iM.data_TCAGCAAGTCTTTCTA-1", "iM.data_CTAACCCAGTAAACAC-1", "iM.data_CTTCTCTGTATCAGGG-1", "iM.data_ATACTTCAGCAGGGAG-1", "iM.data_ATGACCAGTAGGTGCA-1", "iM.data_GTAATGCTCCATACTT-1", "iM.data_AAGCATCCATGACTCA-1", "iM.data_GACCCAGAGCCAGACA-1", "iM.data_TCATTCATCTTCTTCC-1", "iM.data_TTTGATCCAGGTTCGC-1", "iM.data_TTTGGAGAGTCAAGCG-1", "iM.data_CGCGTGAGTTAGTTCG-1", "iM.data_GGTAGAGCATTCTCTA-1", "iM.data_GTTGCTCCATTCATCT-1", "iM.data_TCATTGTAGAGGCTGT-1", "iM.data_CTTCTCTTCGGATACT-1", "iM.data_AGGTTGTTCCTCAGGG-1", "iM.data_CTGTGAACAGAGCCCT-1", "iM.data_ATTTCTGGTCACTTCC-1", "iM.data_TGCGACGTCGGAACTT-1", "iM.data_AACAACCAGTGACCTT-1", "iM.data_GCTGGGTGTTCTTCAT-1", "iM.data_GAGGCAATCTGAGAAA-1", "iM.data_TGATGGTAGGGCGAAG-1", "iM.data_ATGAAAGGTCTTGCGG-1", "iM.data_CGAGAAGGTATTGCCA-1", "iM.data_GACCAATCATTCGATG-1", "iM.data_ATGAAAGTCCTTCGAC-1", "iM.data_CAATGACCACCCTCTA-1", "iM.data_AATGACCAGACTGGGT-1", "iM.data_GGGTTTAGTTGGAGAC-1", "iM.data_GAACTGTAGGTATTGA-1", "iM.data_GCGTGCATCATTTCGT-1", "iM.data_CACGTTCAGTAAGAGG-1", "iM.data_TGGGCGTTCTGAATCG-1", "iM.data_TATTCCACAACTCCCT-1", "iM.data_AAGGTAAGTTAGGGTG-1", "iM.data_ACTTTGTGTCAATGGG-1", "iM.data_GTTATGGGTCTGTGTA-1", "iM.data_CATACCCTCTGGTCAA-1", "iM.data_ACTATTCAGGCGATAC-1", "iM.data_TCAGCAATCTAACACG-1", "iM.data_TATCCTACAGCCTTCT-1", "iM.data_TATACCTCACTGAGGA-1", "iM.data_AGACCATAGTCACTGT-1", "iM.data_GTTACGATCTGTAACG-1", "iM.data_CCAATGAGTTACGGAG-1", "iM.data_GTTGCTCAGAGTCCGA-1", "iM.data_GTCTGTCCATAGACTC-1", "iM.data_ATTACCTGTCAACGCC-1", "iM.data_CGTCCATCATGAATCC-1", "iM.data_CGTAATGCACCAATTG-1", "iM.data_ATGAGTCCAAGTGACG-1", "iM.data_CCCATTGCAGAACTCT-1", "iM.data_AGTCAACGTCTTGAGT-1", "iM.data_CTCAAGATCCATGCAA-1", "iM.data_GTGTGATTCGTTCCCA-1", "iM.data_GATTCTTTCCACTAGA-1", "iM.data_ACGATCAAGTCTCCTC-1", "iM.data_GCGGAAACACCCGTAG-1", "iM.data_TCATCCGAGCATCAGG-1", "iM.data_CCCTTAGGTCGCAACC-1", "iM.data_GTGCGTGAGATGAACT-1", "iM.data_ACCCTTGAGCATATGA-1", "iM.data_GTGTTCCCATGGGTTT-1", "iM.data_GAAGTAATCACTGAAC-1", "iM.data_GAGTTTGTCTAACGCA-1", "iM.data_GAAGCCCGTAAGTTGA-1", "iM.data_GTGAGCCTCAGGACGA-1", "iM.data_GACCTTCCACGCTATA-1", "iM.data_TACTTGTTCGAACCTA-1", "iM.data_TCAAGTGCATCATTGG-1", "iM.data_GAGTGTTGTCAAAGTA-1", "iM.data_ACTTAGGCAGATCCAT-1", "iM.data_CATGCTCCAGAGGAAA-1", "iM.data_AAGACAAAGGCCTGAA-1", "iM.data_AAGCCATTCATCGCAA-1", "iM.data_ACAGGGATCGCACTCT-1", "iM.data_GGGCTACAGCCACTCG-1", "iM.data_TGGAGGAGTGGAAATT-1", "iM.data_AGCCAGCAGCCGGAAT-1", "iM.data_GAGTTGTTCCATAGGT-1", "iM.data_TCCTTTCTCGTGGCTG-1", "iM.data_ATGAAAGAGTCATCCA-1", "iM.data_ATTCTTGGTACGGGAT-1", "iM.data_CTGTGAACAATCTCGA-1", "iM.data_TACCGGGAGTTAGTAG-1", "iM.data_AACAACCAGCCTCTGG-1", "iM.data_TCGCAGGCACCCATAA-1", "iM.data_CCACAAAGTCTAGGTT-1", "iM.data_CCCTTAGAGCGAGTCA-1", "iM.data_ACAAGCTCACTAGGTT-1", "iM.data_TATTTCGAGCTGGCTC-1", "iM.data_TTGACCCCACAGACGA-1", "iM.data_GGCACGTGTTAGCGGA-1", "iM.data_TCCGATCGTATCGAGG-1", "iM.data_TCAAGCAGTGGCTGAA-1", "iM.data_CGTGAATAGACCACGA-1", "iM.data_CAACCAATCACCACAA-1", "iM.data_CAGCCAGCAATACGCT-1", "iM.data_TTCCTTCTCCGATAAC-1", "iM.data_ATCTCTAAGGTGGGTT-1", "iM.data_GCGATCGCAACCACAT-1", "iM.data_TGTGATGGTTATGTGC-1", "iM.data_AGAAATGAGACAGCGT-1", "iM.data_AGCTACAAGGGTGAAA-1", "iM.data_AACACACTCCGATAAC-1", "iM.data_TTAGTCTAGACCTGGA-1", "iM.data_TTCCGTGCAGGATTCT-1", "iM.data_AAACCCACAACAACAA-1", "iM.data_CAATGACGTGACGTCC-1", "iM.data_TTGGGCGAGTTGCTCA-1", "iM.data_GACGTTATCTGGGTCG-1", "iM.data_ATCCCTGCAGCTGCCA-1", "iM.data_CACGTGGAGAGAGCAA-1", "iM.data_GTATTGGTCCGACGGT-1", "iM.data_ACGATCATCTGATGGT-1", "iM.data_ATAGGCTTCACGAGGA-1", "iM.data_AAGATAGAGTGGTTAA-1", "iM.data_TTTAGTCAGGACAAGA-1", "iM.data_GGTTCTCAGAGGGTCT-1", "iM.data_TCCTAATAGTTAGAAC-1", "iM.data_TTTGTTGCACAAGTTC-1", "iM.data_ACTATCTGTCAGCGTC-1", "iM.data_TCATACTAGGTACAAT-1", "iM.data_TTCTAGTTCGCCGTGA-1", "iM.data_ATCATTCTCACCTTAT-1", "iM.data_AACGTCATCAAACTGC-1", "iM.data_CCTTCAGCAAATCAAG-1", "iM.data_CTCAGGGTCCCTTTGG-1", "iM.data_TTTACTGGTACCCGAC-1", "iM.data_TGGAGGATCGGCTATA-1", "iM.data_CAGAGCCCAGCGTTTA-1", "iM.data_CTCTGGTGTCATAACC-1", "iM.data_AACGGGAGTGGCTTAT-1", "iM.data_CTGTACCTCTAGCCAA-1", "iM.data_GGCAGTCAGTATGAAC-1", "iM.data_GTAGAAATCTTCGGTC-1", "iM.data_GTGTAACCACCGTCTT-1", "iM.data_CAGGGCTGTACCCGCA-1", "iM.data_TACGGTAAGCGAATGC-1", "iM.data_GAGACTTGTATCTCTT-1", "iM.data_ATTCTACTCAGCGGAA-1", "iM.data_AACACACCACAGTCGC-1", "iM.data_CTCCTTTAGTACAGAT-1", "iM.data_GTCCCATAGGATACGC-1", "iM.data_TAACACGTCCAAACCA-1", "iM.data_CATGGTAAGCTCTATG-1", "iM.data_ATGTCCCGTTTACGTG-1", "iM.data_GTTACAGTCGCCGTGA-1", "iM.data_TTACTGTTCTGTCTCG-1", "iM.data_GGAAGTGCATCGAACT-1", "iM.data_CAAGACTAGAGGTATT-1", "iM.data_TCTAACTGTTACCTGA-1", "iM.data_TACCCGTGTATCGGTT-1", "iM.data_AGTTAGCTCACTGATG-1", "iM.data_TCATTCAGTGTCATTG-1", "iM.data_GCCATGGCATGTTTGG-1", "iM.data_CACCGTTCACTTGTCC-1", "iM.data_AGAGAATAGAAGCCTG-1", "iM.data_GGGTGAAGTGCCGAAA-1", "iM.data_TTATTGCAGTGAGGTC-1", "iM.data_CCCAACTAGCTCTATG-1", "iM.data_CTATCCGTCTTTCGAT-1", "iM.data_TGTGAGTGTACCTTCC-1", "iM.data_CGGAACCGTGTTCGAT-1", "iM.data_GTAACCAGTTCTCGTC-1", "iM.data_GGATCTATCGGTCTAA-1", "iM.data_TTGCTGCGTGAGTAAT-1", "iM.data_GAAGTAATCGATTTCT-1", "iM.data_GTCATCCCACGCTGTG-1", "iM.data_ATTACTCTCGGATACT-1", "iM.data_CCACTTGCACGTACTA-1", "iM.data_AGCTACATCGACATAC-1", "iM.data_GGTAACTAGCCTGACC-1", "iM.data_GGGCTCAGTCTATGAC-1", "iM.data_CAGATACAGTTACGAA-1", "iM.data_GGATCTATCAAGTAAG-1", "iM.data_CTAACCCCATGGATCT-1", "iM.data_GGAGCAAGTAGAGTTA-1", "iM.data_AGCGCCAGTAGCACAG-1", "iM.data_CAGATTGCAAATAAGC-1", "iM.data_ATCCTATCATAGGAGC-1", "iM.data_TCTAACTGTTCTCTAT-1", "iM.data_TCATACTTCGAGAACG-1", "iM.data_TAATTCCAGCACCCAC-1", "iM.data_ACTCCCACATAGGTAA-1", "iM.data_CTTCTCTTCATTCCTA-1", "iM.data_GCCCAGATCGCATTAG-1", "iM.data_AGACCATCAACTTGCA-1", "iM.data_TCGCACTTCACCCTGT-1", "iM.data_TCTGTCGGTTTCTTAC-1", "iM.data_AGTTCGACAACGTTAC-1", "iM.data_CAGGGCTCACGTACTA-1", "iM.data_GTCCACTAGGCTTAGG-1", "iM.data_GGGCCATTCCCGTAAA-1", "iM.data_CATGGTATCTCGTTTA-1", "iM.data_TGGAACTAGGTACAAT-1", "iM.data_AACCTGACACTTGTGA-1", "iM.data_TCGCTTGGTGTTAACC-1", "iM.data_TGCACGGCAAGCGCAA-1", "iM.data_ATGGGAGGTAAGATAC-1", "iM.data_CGTCCATAGCCTCATA-1", "iM.data_ACGTCCTAGGTTAAAC-1", "iM.data_GGAACCCTCGCCTATC-1", "iM.data_GTAATGCAGAGCAAGA-1", "iM.data_CTACCTGCAGCCTATA-1", "iM.data_CTACTATTCGCTTACC-1", "iM.data_GTTGTAGAGGATGGCT-1", "iM.data_CAACGATTCGGATAAA-1", "iM.data_GGAGGATAGGCTAAAT-1", "iM.data_TTCAATCAGCAACAAT-1", "iM.data_CATCGGGTCTTTCTAG-1", "iM.data_AGACCCGCATGTCAGT-1", "iM.data_ATCATTCTCAACTTTC-1", "iM.data_GTTAGTGGTTACGTAC-1", "iM.data_TGATCAGAGTAAACAC-1", "iM.data_AGATAGACACAATCTG-1", "iM.data_GATCAGTCACATACTG-1", "iM.data_CTCATGCGTAGGCAAC-1", "iM.data_GGAATCTTCTGCGATA-1", "iM.data_CGGGCATGTCGCCACA-1", "iM.data_GGGTGTCGTTCTGACA-1", "iM.data_GCCAACGGTTTCTATC-1", "iM.data_CGTCCATAGGGCAACT-1", "iM.data_ACTTTGTGTTCGTTCC-1", "iM.data_CTCATGCCATTGTACG-1", "iM.data_CATCCACCACAAGCAG-1", "iM.data_CCACACTTCACACCGG-1", "iM.data_AGTTCGATCCCAAGCG-1", "iM.data_GACCTTCGTAACTTCG-1", "iM.data_AGTCAACAGTAGGAAG-1", "iM.data_AGACTCAAGGGTCACA-1", "iM.data_TGATGCACAGAACTTC-1", "iM.data_CATAGACGTTGGGCCT-1", "iM.data_CAGTTCCGTTACCCAA-1", "iM.data_CAGCGTGGTACGCTTA-1", "iM.data_AAGACTCCAAGCTACT-1", "iM.data_GGGCGTTGTCACGTGC-1", "iM.data_TCTCTGGCAAATACAG-1", "iM.data_CTGATCCGTAACGGTG-1", "iM.data_TGTTCTATCGCCCAGA-1", "iM.data_TTCGGTCAGCAGGCAT-1", "iM.data_AGGAGGTTCCTCATAT-1", "iM.data_TACGTCCCACGACCTG-1", "iM.data_CTTCTAATCCAGCACG-1", "iM.data_TATCAGGGTAGGTCAG-1", "iM.data_GACTGATCAGCTTTCC-1", "iM.data_TCAGTCCCAAGACCGA-1", "iM.data_CACCAAAAGGAGCAAA-1", "iM.data_TCCACCAGTCCGTTTC-1", "iM.data_TGAGGAGCATGAATCC-1", "iM.data_CCCTCTCTCAAGAGTA-1", "iM.data_TGAGGGACAGTAGGAC-1", "iM.data_TTACGTTTCTCCCTAG-1", "iM.data_CTCCTTTGTATCTTCT-1", "iM.data_GCAGGCTCACAGTCCG-1", "iM.data_GTAGCTAGTGAGATAT-1", "iM.data_ACCCAAACAGGAAGTC-1", "iM.data_TGCAGTATCCGGCAAC-1", "iM.data_CAATCGATCGATGGAG-1", "iM.data_GAATCACTCTGAGTCA-1", "iM.data_CCGGACACACGCGCTA-1", "iM.data_TTCGCTGTCCACGGAC-1", "iM.data_TGCCGAGCAGAATGTA-1", "iM.data_GCCATTCAGGGAGGTG-1", "iM.data_GCAGCTGAGACTCATC-1", "iM.data_CCTTTGGTCTCGCTCA-1", "iM.data_CCACGTTCAATTCACG-1", "iM.data_AAGGTAATCCCAATAG-1", "iM.data_TGACAGTAGCTATCCA-1", "iM.data_ATCAGGTTCCGGCAGT-1", "iM.data_GCAGCCATCTAGCCTC-1", "iM.data_TTGCCTGAGTGGATTA-1", "iM.data_TTTGGTTTCCTGGGTG-1", "iM.data_TCAATCTGTCGCACGT-1", "iM.data_AGTGCCGTCTTGCAAG-1", "iM.data_CCCTAACTCCGATCTC-1", "iM.data_CATGCTCTCTCACGAA-1", "iM.data_CCTTCAGTCAAAGGAT-1", "iM.data_AGGTTGTTCAGCGCGT-1", "iM.data_GACAGCCCAAAGCACG-1", "iM.data_ATTTCACGTTGCACGC-1", "iM.data_TCCTTCTTCCAACTGA-1", "iM.data_AATCACGCAAGCGATG-1", "iM.data_TCATTGTAGACGGTTG-1", "iM.data_TGTAAGCTCTCATTGT-1", "iM.data_TCCGTGTGTGCCTAAT-1", "iM.data_TATCGCCAGGAGATAG-1", "iM.data_TATCAGGGTGAGGATC-1", "iM.data_CGCAGGTAGAGCAGTC-1", "iM.data_TGCATGAAGGTTGGTG-1", "iM.data_GTGTTCCTCGGTAAGG-1", "iM.data_CAGATACTCAGTCTTT-1", "iM.data_TAGACTGAGCGCCCAT-1", "iM.data_TTCTAGTGTCAGTCCG-1", "iM.data_ATTCTACCATCATTGG-1", "iM.data_ATCGGATCAGCAGATG-1", "iM.data_AAAGGGCAGGGAGTTC-1", "iM.data_GAGTTTGAGGTTACAA-1", "iM.data_TTCCTCTTCGAGCCTG-1", "iM.data_TCATCATTCAGCATTG-1", "iM.data_ATGAGGGTCGCGTTTC-1", "iM.data_CACAGATGTAGCTGAG-1", "iM.data_TTTGACTAGCTACTAC-1", "iM.data_CCACGAGTCATCGGGC-1", "iM.data_GTTGAACCATGTTACG-1", "iM.data_AAACGAATCGACGATT-1", "iM.data_GTTACGACAGCTGTTA-1", "iM.data_TACCGAAGTGCAAGAC-1", "iM.data_GCCATTCTCCGTAGGC-1", "iM.data_CAGTTCCTCAGGAAGC-1", "iM.data_AGGATAAAGACTCATC-1", "iM.data_TCATCCGAGTTGGACG-1", "iM.data_CTTCGGTAGCCGGATA-1", "iM.data_GCACGGTTCATGAAAG-1", "iM.data_TAGCACATCGATAACC-1", "iM.data_ACCATTTTCCTTATCA-1", "iM.data_GACTCTCAGATTACCC-1", "iM.data_CTTTCAACAGCGGTCT-1", "iM.data_CCACGAGCAGCCTACG-1", "iM.data_ATTCTTGTCACCTCAC-1", "iM.data_GTGTTCCCACATTCTT-1", "iM.data_TTACAGGGTCCAGGTC-1", "iM.data_ATACCTTGTTCTCTAT-1", "iM.data_TTACTGTTCTAGTCAG-1", "iM.data_CATTCATGTTCGTGCG-1", "iM.data_TCTCTGGCAAGTCATC-1", "iM.data_GAGAAATAGGTGCAGT-1", "iM.data_CAGGGCTTCTCCGAAA-1", "iM.data_CTAACTTGTGTGATGG-1", "iM.data_CGATCGGGTGATGTAA-1", "iM.data_GGGTATTAGTAAATGC-1", "iM.data_CGTTGGGAGGCCTAGA-1", "iM.data_TGTTCTAGTACTAACC-1", "iM.data_GGATCTACAGTCTCTC-1", "iM.data_TGATGGTGTTGATCGT-1", "iM.data_AGCCAGCCATGACTAC-1", "iM.data_CACAGATAGCACGTCC-1", "iM.data_GTGCACGGTGGCCTCA-1", "iM.data_GATGACTAGCCAAGGT-1", "iM.data_GAGTTTGCAATAGGGC-1", "iM.data_GATTCTTGTAATGCGG-1", "iM.data_GTGAGCCCACCCAATA-1", "iM.data_GACGCTGAGAGCCGTA-1", "iM.data_ATTGTTCCAGAATTCC-1", "iM.data_GCATTAGTCATTTGCT-1", "iM.data_TATATCCCAGCCTATA-1", "iM.data_CCTAAGAAGAGAATCT-1", "iM.data_CATTTCATCACCGGGT-1", "iM.data_CAACAGTAGCGATGGT-1", "iM.data_CATAGACAGGGTAGCT-1", "iM.data_ATTCACTTCGCCCAGA-1", "iM.data_TGGCGTGGTAGGGAGG-1", "iM.data_TTCCACGCAACGAGGT-1", "iM.data_AGTACTGTCCCATACC-1", "iM.data_ATGCGATCACTCCTGT-1", "iM.data_TACTTGTAGACCTTTG-1", "iM.data_CAGGTATAGAGTCACG-1", "iM.data_TTTACCAAGGTACAAT-1", "iM.data_TCACTCGCAAATTAGG-1", "iM.data_CTGTAGAGTATAGGGC-1", "iM.data_GAGTCTACACAAATAG-1", "iM.data_GGTTCTCTCAGACTGT-1", "iM.data_GCCTGTTCAGCTACAT-1", "iM.data_AAGCCATTCGCTCTAC-1", "iM.data_CCTTCAGAGAATAACC-1", "iM.data_CTGCCTACAGGCTATT-1", "iM.data_TCACTCGTCCCAGGAC-1", "iM.data_GGGTATTAGGCGAACT-1", "iM.data_TGGAGAGGTTCCTAGA-1", "iM.data_ACCTGAAGTCCAAATC-1", "iM.data_AGTACTGTCCACCCTA-1", "iM.data_TCCCAGTAGAGATGCC-1", "iM.data_TGAACGTGTTAAGGGC-1", "iM.data_GGTAGAGCAGTATACC-1", "iM.data_ATCCACCCAAGGGCAT-1", "iM.data_GCAACCGGTGGGATTG-1", "iM.data_ACTCCCAAGTATGGAT-1", "iM.data_ACATCGAGTGTTAGCT-1", "iM.data_ATCTTCAAGTCATACC-1", "iM.data_CGGGCATAGACCATTC-1", "iM.data_TAAGTCGAGTCGTTAC-1", "iM.data_AGCCACGGTCTAATCG-1", "iM.data_GTCATGAGTATGGGAC-1", "iM.data_CTATAGGCACAGCATT-1", "iM.data_AGGTCTAGTCTACATG-1", "iM.data_CTTTCGGGTCGGTGAA-1", "iM.data_CTGCAGGTCAACGAGG-1", "iM.data_GCGTGCATCTACGCGG-1", "iM.data_CTGTGGGGTATGCTTG-1", "iM.data_CATGCTCCAGCTGCCA-1", "iM.data_GATCAGTCAACTCGTA-1", "iM.data_TGCAGATAGTTATGGA-1", "iM.data_AACAACCCAATGAAAC-1", "iM.data_GGGAAGTGTGCTCGTG-1", "iM.data_CTACATTGTCCTCAGG-1", "iM.data_TCATGGACACGCGCAT-1", "iM.data_AGTGCCGTCTTTGCGC-1", "iM.data_ACTTAGGGTTCTCGCT-1", "iM.data_TCTACATGTGCACAAG-1", "iM.data_CTGCAGGAGGGTGGGA-1", "iM.data_GTTACCCTCCCAACTC-1", "iM.data_TTCATTGTCGTCCTCA-1", "iM.data_CCTTCAGGTAGTTCCA-1", "iM.data_GAGGCCTGTCTGTCAA-1", "iM.data_AGGTAGGTCCCGAACG-1", "iM.data_AGTGATCGTATTAAGG-1", "iM.data_CGGAATTTCACACCGG-1", "iM.data_GCCATTCTCACCGCTT-1", "iM.data_CTCTCAGCACTGATTG-1", "iM.data_AGTAACCTCTCTCGAC-1", "iM.data_TCGCTTGTCTCGGGAC-1", "iM.data_TATTTCGCAGATACCT-1", "iM.data_AGAGAGCAGCCTCAAT-1", "iM.data_CTCGAGGCAATTGCTG-1", "iM.data_ACAGGGAGTGAATGAT-1", "iM.data_GTTACCCGTGACACAG-1", "iM.data_TCCTGCACAATGACCT-1", "iM.data_CCGCAAGGTATCGGTT-1", "iM.data_ATCGGATCAGGTCCCA-1", "iM.data_TGCTGAAAGGATCACG-1", "iM.data_TACACCCCACGGTAGA-1", "iM.data_ATCGATGAGCTGGCCT-1", "iM.data_CACAGGCCACCGTGGT-1", "iM.data_TCACACCGTCTGCGCA-1", "iM.data_GTTATGGGTAAGTTGA-1", "iM.data_TTCATTGAGTCACTCA-1", "iM.data_CATTCTACAGGCATTT-1", "iM.data_AAGCGTTCAGCGTACC-1", "iM.data_ACGTCCTTCCACGTGG-1", "iM.data_TATGTTCAGACATAGT-1", "iM.data_TTTACCATCTAACACG-1", "iM.data_AAGATAGTCTTCCGTG-1", "iM.data_TCTTTGAGTTGCAACT-1", "iM.data_ATTCGTTAGTAGCATA-1", "iM.data_CTCCGATTCGCCTCTA-1", "iM.data_GACCCAGAGAGATGCC-1", "iM.data_AGCTCAAGTAAGACCG-1", "iM.data_ATTCACTGTCACTCAA-1", "iM.data_CTCAACCTCCAATCCC-1", "iM.data_TCTACATGTCCTTAAG-1", "iM.data_GACCCAGGTCATCTAG-1", "iM.data_ACGGTCGCAAATAGCA-1", "iM.data_AGACCCGGTACGACTT-1", "iM.data_ATGAGGGGTCCATCTC-1", "iM.data_CATTCCGCACCAGTTA-1", "iM.data_CTTCTCTTCTACCACC-1", "iM.data_GATGAGGTCCCAACTC-1", "iM.data_AAGAACACACTAGTAC-1", "iM.data_CGATGGCGTACAACGG-1", "iM.data_CCCTTAGGTTTGTTGG-1", "iM.data_CACTGGGAGGCATCTT-1", "iM.data_TAGGGTTAGTGTAGAT-1", "iM.data_GGAACCCTCACATCAG-1", "iM.data_TAGGTTGCAGCGTTGC-1", "iM.data_AATCGACCACGGATCC-1", "iM.data_AGGGTTTAGGCGACAT-1", "iM.data_CACCGTTCAACGACAG-1", "iM.data_CTCCGATCAAACACGG-1", "iM.data_GCATGATAGCTGAGCA-1", "iM.data_GAACGTTTCTGCACCT-1", "iM.data_TTTACGTGTTGCCTAA-1", "iM.data_CATGAGTTCATTGTTC-1", "iM.data_TAGTGCAGTTCGTACA-1", "iM.data_CCTCAACCACAGCATT-1", "iM.data_CTAACTTTCAAGATAG-1", "iM.data_TACATTCAGCTTGTTG-1", "iM.data_TTGCCTGCAACTTGGT-1", "iM.data_AGCTTCCGTCTCACGG-1", "iM.data_GACCAATCACTTACAG-1", "iM.data_AGTTAGCCAATACCTG-1", "iM.data_GGGTTTATCTAAGCGT-1", "iM.data_GAAGCGAGTCGTCATA-1", "iM.data_ATCCTATCACAGTCGC-1", "iM.data_ATGGGAGGTCTACACA-1", "iM.data_CAGATCAGTGGAACCA-1", "iM.data_GAGTCATTCGTCTCAC-1", "iM.data_CTGTGGGCAAATGATG-1", "iM.data_AACGGGAAGGAGGTTC-1", "iM.data_GATGAGGGTTACGATC-1", "iM.data_TAAGCCATCTCTCCGA-1", "iM.data_AGGCTGCAGAGGGCGA-1", "iM.data_AGCCAGCAGACAGCGT-1", "iM.data_TACTGCCGTTCAAAGA-1", "iM.data_TTGTGTTCATGGAATA-1", "iM.data_ATCGGATTCCATTTAC-1", "iM.data_CAAGACTGTAACAGGC-1", "iM.data_TCATGCCTCGGCATCG-1", "iM.data_TTTGACTCAAAGGGTC-1", "iM.data_ATACCGATCGTCAACA-1", "iM.data_TATCTGTTCACCTTAT-1", "iM.data_ATTCACTCAGTTGGTT-1", "iM.data_TGTCAGAGTCCTGAAT-1", "iM.data_TGGCGTGAGAAACTAC-1", "iM.data_GACTATGAGACTCCGC-1", "iM.data_CCCTCAACAGCACGAA-1", "iM.data_TCGAACACACAAATAG-1", "iM.data_CTCAGAAAGTGGTTCT-1", "iM.data_CTCATGCGTCTTCGAA-1", "iM.data_TGGAGAGAGAGCCGTA-1", "iM.data_TATCTGTGTATGATCC-1", "iM.data_TGACAGTTCTTAAGGC-1", "iM.data_CTCCTTTTCCGCTGTT-1", "iM.data_CCTCTAGTCCTTATCA-1", "iM.data_GTTGCTCTCGAGTTGT-1", "iM.data_TGAATGCTCTCTCAAT-1", "iM.data_ACTCTCGAGTAAGAGG-1", "iM.data_CGAAGGAAGTGGCAGT-1", "iM.data_GTTGAACCAAAGGCGT-1", "iM.data_CCCAACTCATGAAGCG-1", "iM.data_CATCCACCATAACAGA-1", "iM.data_TGACAGTTCGCCTATC-1", "iM.data_GACTATGCACACACGC-1", "iM.data_GCCATTCTCACCGACG-1", "iM.data_GAGTTTGTCCATAAGC-1", "iM.data_AGCCAATCATCTCATT-1", "iM.data_ATTCGTTCAAGATCCT-1", "iM.data_GAAATGACAAGCCCAC-1", "iM.data_GACCAATCAATAGTGA-1", "iM.data_GCGTGCAAGCGCGTTC-1", "iM.data_CCTCTAGGTACCATAC-1", "iM.data_AAGACAAAGCAAATGT-1", "iM.data_AGAAGTATCTGGAAGG-1", "iM.data_CCATCACCACATGACT-1", "iM.data_TCATGCCTCATCTATC-1", "iM.data_GTTACGATCACTGTCC-1", "iM.data_CAGCAATAGACCTCCG-1", "iM.data_GGAGATGAGCACGTCC-1", "iM.data_TTCGGTCCAGGACATG-1", "iM.data_CCTAACCGTAGGCAAC-1", "iM.data_CTAGACAGTCTACGAT-1", "iM.data_GGGATGAGTACATACC-1", "iM.data_TGCAGGCCACAGTATC-1", "iM.data_AGTAACCAGTAGACAT-1", "iM.data_ATACTTCAGTCTGGTT-1", "iM.data_GTTATGGCACCGTCTT-1", "iM.data_ACCGTTCTCAGAGTTC-1", "iM.data_CAGCAGCCATCCGATA-1", "iM.data_TCCAGAAGTGACGTCC-1", "iM.data_CCGGTGAGTGCGTTTA-1", "iM.data_GTTGCGGCAATTTCGG-1", "iM.data_TCTGGCTAGCCTCTTC-1", "iM.data_AGGATAACAAGGGCAT-1", "iM.data_ATTTCACTCCCAGGCA-1", "iM.data_TTGAACGCAAACCGGA-1", "iM.data_TCTTTGAGTCCAGTTA-1", "iM.data_GGAATGGCACTTGAAC-1", "iM.data_ATTGGGTGTACAGGTG-1", "iM.data_TACGCTCCAACCCTAA-1", "iM.data_ATGAAAGGTGCCCAGT-1", "iM.data_ACTATTCCACCTGCTT-1", "iM.data_CCACACTCATGAGAAT-1", "iM.data_CTCCACATCTATCGCC-1", "iM.data_CATTCATCATGGGAAC-1", "iM.data_GTCTACCAGCACGTCC-1", "iM.data_ATTGGGTCATAGGTTC-1", "iM.data_TCAGTGATCAGTGGGA-1", "iM.data_GGGTATTAGTGAACAT-1", "iM.data_CAGCCAGAGATGATTG-1", "iM.data_TCACGGGGTATTTCGG-1", "iM.data_GTGGGAACAATTCGTG-1", "iM.data_GAAGCCCTCTGCTAGA-1", "iM.data_ATCACAGAGATTAGTG-1", "iM.data_TCACGGGGTGGTTTAC-1", "iM.data_GAGTTACTCTAGTGTG-1", "iM.data_CAGCACGTCGGCCCAA-1", "iM.data_ACGTAACCACAAGTTC-1", "iM.data_TAATTCCCAAGGTCGA-1", "iM.data_TCCTTTCAGACCACGA-1", "iM.data_TAGGGTTCAAACACGG-1", "iM.data_TGCTGAATCAATCCGA-1", "iM.data_ATTCCCGTCGAACCAT-1", "iM.data_TGGAGAGCACGAGGAT-1", "iM.data_AGATAGACACCGAATT-1", "iM.data_GCATCTCGTCTCGGAC-1", "iM.data_CGTAGTAGTGTAGTGG-1", "iM.data_TAAGCGTGTCTCCCTA-1", "iM.data_TTACAGGTCCGCACGA-1", "iM.data_CCGTTCAAGTTGTAAG-1", "iM.data_AATGACCCAATCTCTT-1", "iM.data_AGGGCCTCATACAGCT-1", "iM.data_CACAACAAGCGACTAG-1", "iM.data_GCGAGAAAGTAAGGGA-1", "iM.data_ATGAGTCCACTCACTC-1", "iM.data_TATTCCAAGGGACACT-1", "iM.data_CTCCGATTCACATCAG-1", "iM.data_ACCCTTGTCGTAACAC-1", "iM.data_GAGGCCTCACCTGAAT-1", "iM.data_GTGAGCCAGTCCCTAA-1", "iM.data_TTACGCCTCTTGGTCC-1", "iM.data_GCCAACGGTGAATAAC-1", "iM.data_GTTAGACTCTCCCTAG-1", "iM.data_GACTCTCAGACTTGTC-1", "iM.data_AGAACCTTCCCATTTA-1", "iM.data_CATTGAGTCCTTCTTC-1", "iM.data_GGAGAACTCCCTCTCC-1", "iM.data_CGAGTGCGTCCACTCT-1", "iM.data_ATCGGCGGTACGGCAA-1", "iM.data_CCACCATTCTTTACAC-1", "iM.data_CTCCCTCTCGCTTTAT-1", "iM.data_TTTGATCCATTCTGTT-1", "iM.data_CCTTCAGAGAACAGGA-1", "iM.data_GCGGAAAAGTATCTGC-1", "iM.data_GGAGAACTCCGTGGCA-1", "iM.data_CATCGCTTCGCTGTCT-1", "iM.data_GAAGCCCTCCTCACTG-1", "iM.data_CGGAGAAGTACTCGTA-1", "iM.data_CATTCCGCACGGTCTG-1", "iM.data_TTTACTGTCGTAGTCA-1", "iM.data_GCACTAACACCATAAC-1", "iM.data_GGTGTCGCAACCGTGC-1", "iM.data_GTTATGGTCACTAGCA-1", "iM.data_CGAGAAGCACGACTAT-1", "iM.data_TTGAGTGCATACCACA-1", "iM.data_TCAGGGCGTATCAAGA-1", "iM.data_GTCATCCCAGTGACCC-1", "iM.data_GTGCAGCTCCCATTCG-1", "iM.data_TCCTCGAAGGGAGGTG-1", "iM.data_AGCCAGCCACATGTTG-1", "iM.data_AGCTTCCAGGTCTGGA-1", "iM.data_TGTACAGAGCACTAAA-1", "iM.data_ATTCCTACAGGCACTC-1", "iM.data_ACCCAAACATGACGAG-1", "iM.data_AAAGTCCAGTGTCATC-1", "iM.data_ATCGCCTTCACGGGCT-1", "iM.data_GTAGTACGTACGGTTT-1", "iM.data_ATTGGGTCAAAGGGCT-1", "iM.data_GTAGATCAGGTCTGGA-1", "iM.data_GGGTGAACACAAAGTA-1", "iM.data_GTCTAGATCAAAGCCT-1", "iM.data_GGGTGTCAGCTGAGCA-1", "iM.data_TCCATGCCATGTGCTA-1", "iM.data_CATTTCAGTACGACTT-1", "iM.data_TCCTCGAAGTTACGAA-1", "iM.data_TTCCACGTCCCTATTA-1", "iM.data_TGCAGTAGTCGAACGA-1", "iM.data_TGATGCACAGTAGTTC-1", "iM.data_TCGGGCAGTCGGCCTA-1", "iM.data_TCTCACGAGAGTAACT-1", "iM.data_CCTCAGTGTTTACTTC-1", "iM.data_TACATTCGTGAACGGT-1", "iM.data_TGGGCTGCAGTTCTAG-1", "iM.data_CCACAAACAACCCGCA-1", "iM.data_CTCTCAGGTCTCACAA-1", "iM.data_AGATCCACAAGTGGAC-1", "iM.data_TGTTGAGCATCTATCT-1", "iM.data_ACCACAACATGACACT-1", "iM.data_AGTGACTTCTACTATC-1", "iM.data_TTGTGTTTCTAGTCAG-1", "iM.data_TCAGCCTAGCTCTTCC-1", "iM.data_TCGTAGACAGCCGTTG-1", "iM.data_GACCCTTCAATTGAGA-1", "iM.data_TCAATTCTCTTTCGAT-1", "iM.data_GTGTAACTCACCATCC-1", "iM.data_ACCCAAACAAATGAAC-1", "iM.data_TCATTCACAACACAGG-1", "iM.data_TCACATTTCCTACAAG-1", "iM.data_ATCCGTCCAAGTTTGC-1", "iM.data_CTGAATGCAGACTGCC-1", "iM.data_CTCAGTCTCCCGAACG-1", "iM.data_CGCATAAGTTCGGCCA-1", "iM.data_GTAACCATCTCCGTGT-1", "iM.data_AAGACTCTCGCTACAA-1", "iM.data_AAGAACAGTCCAAATC-1", "iM.data_TATTCCATCTGGCCTT-1", "iM.data_TTCCGTGGTAACTTCG-1", "iM.data_CGAGTTATCAAGCTTG-1", "iM.data_ACCACAAGTAACACGG-1", "iM.data_TAAGCGTTCTTCGACC-1", "iM.data_GGAATCTTCTAGACAC-1", "iM.data_GTCATGACAACTGGTT-1", "iM.data_AGGAAATGTGGAACAC-1", "iM.data_CGGAGAACATGAAGCG-1", "iM.data_AAGTGAAGTCTAGGTT-1", "iM.data_GAAGGACCAATACGAA-1", "iM.data_GAAGGGTTCCGGTAAT-1", "iM.data_GCACATAAGCTGGCTC-1", "iM.data_GACGCTGCAGAGTCAG-1", "iM.data_TAGGAGGCACCTATCC-1", "iM.data_TCGCACTGTCACGTGC-1", "iM.data_CATCCACCAAATTGGA-1", "iM.data_TTTGTTGGTAAGCTCT-1", "iM.data_CTTCCGACAAATGAGT-1", "iM.data_CGATCGGCATGTACGT-1", "iM.data_ACACAGTGTAGGGTAC-1", "iM.data_ACCAACAAGCCGATCC-1", "iM.data_CAACGATAGTTGTCAC-1", "iM.data_AGGACTTAGACGACTG-1", "iM.data_ATGGTTGGTAACATAG-1", "iM.data_CTATCCGCAAAGCGTG-1", "iM.data_GTGTGGCTCCCAGCGA-1", "iM.data_CAATCGAGTATTTCGG-1", "iM.data_GCAGGCTTCTTTGCAT-1", "iM.data_GCAGGCTTCATTCCTA-1", "iM.data_GAGGGTACACGCGCTA-1", "iM.data_TACGCTCAGGCATGGT-1", "iM.data_GCCAGGTAGAGGTTAT-1", "iM.data_CAGCACGCATAATGCC-1", "iM.data_CAGAGCCAGATGATTG-1", "iM.data_CCTCCAAGTGTATTGC-1", "iM.data_AGATGAATCGAACGGA-1", "iM.data_CCACACTTCTGACCCT-1", "iM.data_AATGCCACATGGCCCA-1", "iM.data_AGCCAGCCAATGACCT-1", "iM.data_CTAACCCCAGAGTCTT-1", "iM.data_CATTCCGTCGGCTTGG-1", "iM.data_AGTACCATCGCTGACG-1", "iM.data_AAGTGAAGTCAAGGCA-1", "iM.data_ATGTCTTGTTCTCACC-1", "iM.data_ACCATTTTCCGTAGTA-1", "iM.data_CAAAGAAGTAGAGACC-1", "iM.data_ACTCCCACACGAAGAC-1", "iM.data_CATTCTAAGAGTCCGA-1", "iM.data_ATCGATGCATTCATCT-1", "iM.data_ATGAGTCCACATATCG-1", "iM.data_CACCGTTAGGACTATA-1", "iM.data_TCGATTTGTGCGAACA-1", "iM.data_ACATCCCTCATCCTGC-1", "iM.data_TTCAGGAGTTGTCATG-1", "iM.data_AGGGTGAGTGGTTCTA-1", "iM.data_CCCTGATAGCCTGGAA-1", "iM.data_AAACGCTTCATGTCTT-1", "iM.data_CCACGTTGTGTGTCGC-1", "iM.data_AACGTCAGTTGCTCGG-1", "iM.data_TTTGATCGTCCTACGG-1", "iM.data_GGGTCACAGCAGGCAT-1", "iM.data_ATTCCATCAGCCTACG-1", "iM.data_TACACCCTCAAGGAGC-1", "iM.data_CCGATGGTCACGTCCT-1", "iM.data_GAAATGAAGCCAAGCA-1", "iM.data_GAAACCTTCCGCCTAT-1", "iM.data_TGAGTCAGTGACTAAA-1", "iM.data_TCAATCTAGTGCACAG-1", "iM.data_CCTACGTTCACTACGA-1", "iM.data_GCCGATGAGGTTCCAT-1", "iM.data_TCACTCGGTCACAGAG-1", "iM.data_TGCGATACAGAACATA-1", "iM.data_CCTCCAAAGTTCTCTT-1", "iM.data_TCCATCGCATAAGCAA-1", "iM.data_TAATTCCGTTGCTCCT-1", "iM.data_AGCCAATGTAAGATTG-1", "iM.data_CGAAGTTTCAGTCATG-1", "iM.data_CTGCATCAGCTGACCC-1", "iM.data_GACTCAACATGTGGCC-1", "iM.data_AATTTCCTCTCACTCG-1", "iM.data_TGTTTGTAGTACAGAT-1", "iM.data_GAGTTGTCAGGGAATC-1", "iM.data_ATGGGTTCACCTCTAC-1", "iM.data_GTAGGTTAGTGGTGGT-1", "iM.data_AACAAAGTCCGGACGT-1", "iM.data_GAGTTACAGAAACCAT-1", "iM.data_TGGGAGATCACCTGGG-1", "iM.data_GTGTTCCGTGCAACGA-1", "iM.data_CATTCTATCGACCACG-1", "iM.data_TTTGGAGCAGCACAAG-1", "iM.data_ATCTCTACAGTTGCGC-1", "iM.data_AGCGCCAGTCCCGTGA-1", "iM.data_GAATCACGTATCCCTC-1", "iM.data_CTACGGGGTTTGTTGG-1", "iM.data_CCACCATAGCGGACAT-1", "iM.data_GATGACTCAAGTCGTT-1", "iM.data_TCCCACACACGCGTCA-1", "iM.data_TGCCGAGGTTGCTGAT-1", "iM.data_TCGATTTAGCTAGTTC-1", "iM.data_CCGGACACATCAGCGC-1", "iM.data_AGACCATCATTGAAGA-1", "iM.data_TACACCCTCTGGGATT-1", "iM.data_TTGGATGCAGCGACAA-1", "iM.data_AGGGTGAAGTAGCAAT-1", "iM.data_CGGTCAGGTTGGTACT-1", "iM.data_GTAATGCTCGGCACTG-1", "iM.data_CGACAGCCACTCCGGA-1", "iM.data_CCACGAGAGTTCCAGT-1", "iM.data_GAGAGGTTCCAAGCCG-1", "iM.data_CTGAGGCAGTCTCTGA-1", "iM.data_ACCTGAAGTAGTGGCA-1", "iM.data_TCCGATCCAGCAGAAC-1", "iM.data_TCAGTCCAGCCTCCAG-1", "iM.data_GATGAGGCAACTGAAA-1", "iM.data_GATGAGGCAAGCGGAT-1", "iM.data_CTGTAGACACGTGTGC-1", "iM.data_TCATCCGGTAGTGATA-1", "iM.data_ATCGTGATCGTCTAAG-1", "iM.data_GCTACAATCCTGCTAC-1", "iM.data_GCTACCTAGTATGGAT-1", "iM.data_ATTCAGGCACCAGCCA-1", "iM.data_ACCCTCATCTTGTGCC-1", "iM.data_ACCACAAGTAACGTTC-1", "iM.data_GGGCTACAGATGGCAC-1", "iM.data_GTCATGACAACCGATT-1", "iM.data_GGTAATCTCGATACGT-1", "iM.data_CAGCACGCAACCGATT-1", "iM.data_AGTAGTCAGAGCAACC-1", "iM.data_ATCCCTGTCGGTCGAC-1", "iM.data_GGGAGATTCTTACCGC-1", "iM.data_TGTAGACGTGACCTGC-1", "iM.data_AATAGAGCACCAATTG-1", "iM.data_CTCCCAAGTCATTGCA-1", "iM.data_ATTACCTAGCATGAAT-1", "iM.data_AGCGTATTCGTGTTCC-1", "iM.data_GTAATCGGTACTGAGG-1", "iM.data_TTCCTAACAACCGATT-1", "iM.data_TGCATCCTCCCTAGGG-1", "iM.data_TTGCCTGAGATGAACT-1", "iM.data_TGGTACAGTCTACATG-1", "iM.data_CCTACGTCATCAGTGT-1", "iM.data_CTTGATTTCGACATAC-1", "iM.data_GGGTCTGAGTAAACAC-1", "iM.data_GCTACCTAGTGCAAAT-1", "iM.data_CGTAGTATCATGCAGT-1", "iM.data_AGGTCATCACTCCACT-1", "iM.data_CAAGAGGTCAAGGACG-1", "iM.data_CATACCCTCTATTCGT-1", "iM.data_TTGGGTAAGGCATCTT-1", "iM.data_GGGTATTAGAGCATCG-1", "iM.data_CTAGGTAAGCTCCACG-1", "iM.data_TATCTGTGTTAGGCTT-1", "iM.data_GATAGCTCACAAATCC-1", "iM.data_AATGACCCAGAGTGTG-1", "iM.data_CCTACGTGTTGTCCCT-1", "iM.data_CAATACGCATTGAAAG-1", "iM.data_TGGCGTGTCTCGTGGG-1", "iM.data_ATAGACCCAGTTTCAG-1", "iM.data_ACCTACCTCTTACGTT-1", "iM.data_TCTACCGTCGCTAATG-1", "iM.data_GAATCACTCTTTCTAG-1", "iM.data_AGACTCAGTTGCCTAA-1", "iM.data_CATCCGTAGGGATCTG-1", "iM.data_TAACGACCATTGGGAG-1", "iM.data_GGGACAAGTCCCAAAT-1", "iM.data_GTAGAGGAGTATGGAT-1", "iM.data_CACAGGCCAGGTCTCG-1", "iM.data_AGTTCGAGTGAATAAC-1", "iM.data_CTCCGATCATTCTTCA-1", "iM.data_TCTCTGGCACAATGAA-1", "iM.data_CCTTCAGGTAGTCTTG-1", "iM.data_TGGTACAAGCGGACAT-1", "iM.data_AGGGTCCGTGTTGCCG-1", "iM.data_TTCCGTGGTGAGCTCC-1", "iM.data_AAACGCTGTGACAGGT-1", "iM.data_ACGTCCTCACTTCCTG-1", "iM.data_GCAACCGTCGGAACTT-1", "iM.data_TATTCCACACACCTTC-1", "iM.data_GCTGGGTTCCCATTCG-1", "iM.data_ACCACAAGTACCACGC-1", "iM.data_CTAACCCGTCTCCCTA-1", "iM.data_ATCGCCTTCGAACACT-1", "iM.data_ATGCGATTCGAGGCAA-1", "iM.data_CGAGTGCTCTTGGTCC-1", "iM.data_TGTACAGAGAGAGGGC-1", "iM.data_CCATAAGTCTTTCTAG-1", "iM.data_TACACCCCAGAGTAAT-1", "iM.data_CTATCTAAGCGGACAT-1", "iM.data_GGGTCTGCAACGGTAG-1", "iM.data_TCATCATCACTGAGGA-1", "iM.data_CCTGTTGAGGGCAGTT-1", "iM.data_ATCGCCTGTGTCCATA-1", "iM.data_AAAGGGCCAACGCCCA-1", "iM.data_AGCCACGAGTCAACAA-1", "iM.data_GCTCAAAAGGTAAGTT-1", "iM.data_CTCAGTCAGGACTAAT-1", "iM.data_CTCAGAACAAGCGAGT-1", "iM.data_AGGCTGCAGGCATTTC-1", "iM.data_GTGTTCCCATCACAGT-1", "iM.data_TCATGGATCGACCATA-1", "iM.data_CATTGAGCATGGCCAC-1", "iM.data_CACGAATCATTCACAG-1", "iM.data_TGTCAGAAGTCTTGGT-1", "iM.data_CCACGAGAGGCACTAG-1", "iM.data_AGATCCAGTACTGTTG-1", "iM.data_TTCCGTGTCCATTGGA-1", "iM.data_ACCTGTCTCGTGCACG-1", "iM.data_AGAGAATCAGTTCACA-1", "iM.data_ATGAGTCCACGACAAG-1", "iM.data_TCAAGTGGTCAACGCC-1", "iM.data_TGCGATACAGACACAG-1", "iM.data_CACTAAGAGAAGTATC-1", "iM.data_CGAGAAGTCTTTCTAG-1", "iM.data_ATCGTCCCAGCACACC-1", "iM.data_GACGCTGCAGGGAATC-1", "iM.data_TGTTCCGGTACGATTC-1", "iM.data_TGGTACATCACTCGAA-1", "iM.data_TAGACCATCACACCGG-1", "iM.data_TCATATCGTATCCCAA-1", "iM.data_CTTCAATTCGAACGGA-1", "iM.data_TCCATGCTCGACATCA-1", "iM.data_GGCTGTGTCACTTTGT-1", "iM.data_AAAGTCCTCGTAATGC-1", "iM.data_CCACACTAGCAACAGC-1", "iM.data_CAGTGCGCATATTCGG-1", "iM.data_AGACCCGTCCTACACC-1", "iM.data_ATTCGTTTCTCACCCA-1", "iM.data_GCAGTTAGTTCCGCGA-1", "iM.data_CCACCATGTCAAGTTC-1", "iM.data_CATAGACAGACGGTCA-1", "iM.data_AGCCACGAGAGGGTCT-1", "iM.data_GCCCAGAAGCCATTTG-1", "iM.data_CAATTTCGTTGCGAAG-1", "iM.data_CGTTAGATCGCCTTGT-1", "iM.data_TTGGGCGGTCTGTAAC-1", "iM.data_GAGTTACGTCTCTCTG-1", "iM.data_TATACCTCAACATCGT-1", "iM.data_GAACACTGTGGAGAAA-1", "iM.data_TCTCCGAAGCCTATTG-1", "iM.data_TATGTTCAGGGTTGCA-1", "iM.data_CACTGAAGTACGTGAG-1", "iM.data_TCAGTGACAGAGGTTG-1", "iM.data_GAGAAATTCGTTCATT-1", "iM.data_TCTCACGTCGGAATGG-1", "iM.data_TTTACGTCAGACGCTC-1", "iM.data_TGACCCTCAGACACAG-1", "iM.data_TATTTCGGTTTACCAG-1", "iM.data_TCTGCCATCAGACTGT-1", "iM.data_ATAGGCTTCATTCGGA-1", "iM.data_TCCTCTTCAGGTCCCA-1", "iM.data_GTGCTGGTCGACGTCG-1", "iM.data_TCAATCTTCGCTGCGA-1", "iM.data_CATTCCGTCGCGTGCA-1", "iM.data_GGGTTATTCAAGCCAT-1", "iM.data_ACCAACAGTGAGCGAT-1", "iM.data_ACATCCCGTGGATCAG-1", "iM.data_TGAGTCAGTCTTCATT-1", "iM.data_TTCGATTAGCGTACAG-1", "iM.data_AATTCCTCAGAGTGAC-1", "iM.data_GGAACCCCAGAGTTCT-1", "iM.data_TCAGTCCTCGTGAGAG-1", "iM.data_CCTTCAGGTCACGCTG-1", "iM.data_CTAGGTAAGACATAAC-1", "iM.data_TGTTCCGCACAGACGA-1", "iM.data_GATCGTAGTCCACGCA-1", "iM.data_CATACTTGTCGCATGC-1", "iM.data_CAACGATTCCGTGGGT-1", "iM.data_GCCCAGAAGCTCGGCT-1", "iM.data_CCCGAAGCAGTTGCGC-1", "iM.data_AAAGTGATCTAGTGAC-1", "iM.data_AGTTCGAGTAATTGGA-1", "iM.data_CATACCCAGAGAACCC-1", "iM.data_AGACAAACAGACAAAT-1", "iM.data_GTTATGGTCTGGACTA-1", "iM.data_ACACCAAGTCCGCAGT-1", "iM.data_TTACCATGTGTAACGG-1", "iM.data_ACACAGTCATTCTCTA-1", "iM.data_TCCTCGACACTGGCGT-1", "iM.data_GGGAAGTGTTCCAGGC-1", "iM.data_GTTGCGGGTCGAAACG-1", "iM.data_TCGAAGTAGTCAACAA-1", "iM.data_TGAGGGATCACTACTT-1", "iM.data_CAGAGCCAGACTCCGC-1", "iM.data_ATGTCTTTCTCGCTCA-1", "iM.data_ACATGCACACTCCACT-1", "iM.data_CCTGTTGTCAAGATAG-1", "iM.data_ATAGGCTTCAATCCGA-1", "iM.data_AGCCAATTCTCCAATT-1", "iM.data_CGGAATTCACATGACT-1", "iM.data_TGGATGTCAGGTTCGC-1", "iM.data_CAATGACGTTGTGTTG-1", "iM.data_GTAAGTCGTCGACTTA-1", "iM.data_CGATCGGGTCACCACG-1", "iM.data_CCATCACTCGATGCAT-1", "iM.data_CGAGAAGAGCAGCCTC-1", "iM.data_AGCTCAAGTAGTCTGT-1", "iM.data_TTGGGATTCCCTCGAT-1", "iM.data_GGGCCATTCGATCCAA-1", "iM.data_GGGACAACACAGTATC-1", "iM.data_CGGAACCTCCACGGAC-1", "iM.data_AGTCTCCTCCTCAGAA-1", "iM.data_GCAACATGTAGGAAAG-1", "iM.data_TTCCTAAGTCTTCATT-1", "iM.data_TCCTAATCAGCAGTTT-1", "iM.data_TCAATTCGTCCTTGTC-1", "iM.data_ACCACAACAGCTGAGA-1", "iM.data_AGGAGGTGTATGAGAT-1", "iM.data_GTAGGTTCAACCCTCT-1", "iM.data_GGTAGAGAGTACGTCT-1", "iM.data_CAGCAATTCAACTTTC-1", "iM.data_GGGTTTAGTGAGGCAT-1", "iM.data_TACTTACCACAGAGCA-1", "iM.data_TATCGCCAGAAGTATC-1", "iM.data_GACCGTGAGGGACAGG-1", "iM.data_CCTTGTGCAGTGTATC-1", "iM.data_TTCGCTGAGAGTTGAT-1", "iM.data_TGGAGGAGTATGGTAA-1", "iM.data_TCTATACTCGACATAC-1", "iM.data_TATCGCCTCTTTGATC-1", "iM.data_CCTCCTCCATAGAGGC-1", "iM.data_GTTGTCCTCCCTCGTA-1", "iM.data_CTCCGATTCTCGTGAA-1", "iM.data_TGCTCCACATACAGAA-1", "iM.data_TTGCTGCTCTCTCAAT-1", "iM.data_GTGAGGATCTATTTCG-1", "iM.data_TCCTCTTGTTCTCCAC-1", "iM.data_CCCTGATAGCGACTTT-1", "iM.data_AGACACTGTGTTCATG-1", "iM.data_AGAACCTCATACCAGT-1", "iM.data_GAGTTGTCACTAACGT-1", "iM.data_TTTCATGCAGCATCTA-1", "iM.data_CCATCACTCTTTCAGT-1", "iM.data_ACTGTCCTCAAGAGGC-1", "iM.data_ACCAACACAGAATGTA-1", "iM.data_TGGATCATCGTTCTGC-1", "iM.data_ATGCCTCCACAGCCTG-1", "iM.data_CATTGAGTCTGCACCT-1", "iM.data_TCAATTCTCCGCACGA-1", "iM.data_AGCCAATTCATTTACC-1", "iM.data_CATCCCAGTTCGTAAC-1", "iM.data_GTCCTCACAGGTGACA-1", "iM.data_TCACGGGCATGGACAG-1", "iM.data_ATACCGACATCTCGTC-1", "iM.data_AGAGCCCTCAAGCTTG-1", "iM.data_TGGCGTGCAAGGGCAT-1", "iM.data_TGTTGGACAAAGGCTG-1", "iM.data_CATACCCCAAGAGTTA-1", "iM.data_CCGGTGAGTATTTCTC-1", "iM.data_TGCTCGTAGCCTCTGG-1", "iM.data_GCCAGGTTCACCTCAC-1", "iM.data_GCTGAATAGAAACTGT-1", "iM.data_AGGGTCCTCTACGGTA-1", "iM.data_AGACACTGTTAGTCGT-1", "iM.data_GTCTCACGTCAACACT-1", "iM.data_CGAGGAACAGAATGTA-1", "iM.data_CTTCAATTCAATGCAC-1", "iM.data_TGGGCGTTCACATTGG-1", "iM.data_CTCCTTTTCCAGTTCC-1", "iM.data_AAAGTGAGTTGTACGT-1", "iM.data_GACGCTGTCCGTTGGG-1", "iM.data_AATGGCTCACAACGAG-1", "iM.data_GCTCAAACAGGGAATC-1", "iM.data_CATTCCGTCGTCGACG-1", "iM.data_GCGGATCGTATTAAGG-1", "iM.data_AGTGTTGCACCTGCAG-1", "iM.data_CTTCTAAAGGCACTAG-1", "iM.data_GCAACATCAAATGGAT-1", "iM.data_TATCTTGTCGGCTTCT-1", "iM.data_TGGCGTGAGTAGAATC-1", "iM.data_TTTATGCGTCATACCA-1", "iM.data_GCAGCCATCACCGGTG-1", "iM.data_ATCATTCTCGGCTTCT-1", "iM.data_CAATGACTCCCGTTCA-1", "iM.data_GGGCTCAAGTTGGGAC-1", "iM.data_TCAGCAAGTGGATGAC-1", "iM.data_TACAACGCATGGCTGC-1", "iM.data_ACGGTTACAGGAGACT-1", "iM.data_GAGTCATTCTTGGAAC-1", "iM.data_TCATCCGCATGAGTAA-1", "iM.data_AGCGATTGTACCTAGT-1", "iM.data_TCGCTCACAAGTGCAG-1", "iM.data_TTGATGGTCCTTATGT-1", "iM.data_AGTCAACAGTTGCCCG-1", "iM.data_CGGAACCGTCACCCTT-1", "iM.data_TTGCATTAGATAGTGT-1", "iM.data_GACATCAGTGTCCGGT-1", "iM.data_GGGTGTCAGCTCCGAC-1", "iM.data_TGATTCTGTAACAGTA-1", "iM.data_GCCAGGTGTTAAGACA-1", "iM.data_CTTGATTCACCTCTAC-1", "iM.data_GCGGAAAGTGCGAACA-1", "iM.data_CATGCTCCAAACCACT-1", "iM.data_TCGGGTGGTTACACTG-1", "iM.data_CACGTTCGTTGTAGCT-1", "iM.data_CAAGGGAGTTGAGAGC-1", "iM.data_TAGACTGCACTTGTCC-1", "iM.data_TCAGTTTAGACCATTC-1", "iM.data_GAGAGGTAGTGATAGT-1", "iM.data_GTTAGACGTACAGCGA-1", "iM.data_ATTCCATTCTGACAGT-1", "iM.data_CATTCATGTTCTCCAC-1", "iM.data_TGTGGCGTCACTCGAA-1", "iM.data_GGGACAAAGAGATCGC-1", "iM.data_CGGGTCACAAACCATC-1", "iM.data_CAGGTATTCGGAAACG-1", "iM.data_CACAACATCCATTGGA-1", "iM.data_GCCAACGCAATAAGGT-1", "iM.data_AGACCCGAGCACCCAC-1", "iM.data_ACATTTCGTATCCCTC-1", "iM.data_CTTGATTCACTATGTG-1", "iM.data_TACAACGTCGAGTGGA-1", "iM.data_GTCCTCACAGACCCGT-1", "iM.data_CATTGTTCAACACAGG-1", "iM.data_ACAGGGAAGCGTCTGC-1", "iM.data_TCTCACGTCTCTGAGA-1", "iM.data_CTGTATTAGTGAACAT-1", "iM.data_ATCACTTTCCAGCCTT-1", "iM.data_AGCCAATGTATTCTCT-1", "iM.data_TGCTTCGGTGGCAGAT-1", "iM.data_CCGGGTAAGGTTGAGC-1", "iM.data_TCCATCGCAATTGCTG-1", "iM.data_TAATTCCAGCCTCTCT-1", "iM.data_TGCTTGCTCGGACCAC-1", "iM.data_TGGATCACAACATCGT-1", "iM.data_TGGTAGTTCCGCACGA-1", "iM.data_CAATTTCAGACCTCCG-1", "iM.data_CACTTCGCATACCAGT-1", "iM.data_TAGACCATCGCACGAC-1", "iM.data_CATCCGTTCAGTAGGG-1", "iM.data_CCACTTGTCTTCTGTA-1", "iM.data_CGCAGGTAGCGTTCAT-1", "iM.data_GGCACGTTCACTCACC-1", "iM.data_ACCCTCAAGACTTAAG-1", "iM.data_ACACAGTCAGCACAGA-1", "iM.data_GACGTTATCTACCACC-1", "iM.data_GTGTAACTCGTGGCTG-1", "iM.data_CGTTCTGTCTACTTCA-1", "iM.data_AGATGCTGTACAGTTC-1", "iM.data_ACTTCGCTCACCTACC-1", "iM.data_CTCTCAGCACACGGTC-1", "iM.data_GGGTCACTCGCAGTTA-1", "iM.data_GGAGCAAAGCCTTTCC-1", "iM.data_ACCTGAATCAGTGATC-1", "iM.data_AGTTAGCCACTTCCTG-1", "iM.data_CCTATCGCAACAAAGT-1", "iM.data_TCCTCCCAGAGATCGC-1", "iM.data_ACCCAAAAGAACTTCC-1", "iM.data_CAAGAGGCAACGGCTC-1", "iM.data_GTAGCTACACTGAGGA-1", "iM.data_TGCATCCTCAGTGTTG-1", "iM.data_CTATCTAGTTTGGAAA-1", "iM.data_CCTCACAGTCCACATA-1", "iM.data_GCACGGTTCGAGCCTG-1", "iM.data_GGGTTTAAGCTAAGTA-1", "iM.data_AAGTACCGTTTCGATG-1", "iM.data_TCGTAGAGTCCCTCAT-1", "iM.data_ACTTAGGAGACAACTA-1", "iM.data_TTGCCTGTCTCACTCG-1", "iM.data_GTAGAGGCACGGCCAT-1", "iM.data_GAGACCCAGGCGTTAG-1", "iM.data_GGGAAGTGTTAAGCAA-1", "iM.data_TTACGCCGTAGCGTCC-1", "iM.data_GCCTGTTTCTCGGTCT-1", "iM.data_CCCAACTAGGCTTAAA-1", "iM.data_AACAACCGTTAAGACA-1", "iM.data_TAGACCAGTGTCGCTG-1", "iM.data_GCAGTTAGTCCACTTC-1", "iM.data_CTCCACAAGCGCTGCT-1", "iM.data_AGGCCACCACGGGTAA-1", "iM.data_ATTACCTAGCGAGTCA-1", "iM.data_GTCATTTAGTTCACTG-1", "iM.data_AAATGGAAGTAAGACT-1", "iM.data_CTTCTAACAAGCGAGT-1", "iM.data_AGCGTATAGTCGTTAC-1", "iM.data_CGACAGCAGGCCTGAA-1", "iM.data_GGATCTACAGATCCTA-1", "iM.data_AAGCATCAGCTTAAGA-1", "iM.data_TAAGCACAGTCCGTCG-1", "iM.data_TAAGCGTCAACTAGAA-1", "iM.data_CGTAGTAAGACCCGCT-1", "iM.data_GTGATGTTCGCATAGT-1", "iM.data_TCAAGTGGTGTTGAGG-1", "iM.data_CTTACCGTCAAGCTTG-1", "iM.data_GCGAGAAGTAGAGGAA-1", "iM.data_TTCCGTGTCCAACCAA-1", "iM.data_CAGTTCCTCCCGAATA-1", "iM.data_TTTGACTTCTTCTAAC-1", "iM.data_TTACAGGAGACATACA-1", "iM.data_ATTTCACGTTGTTGAC-1", "iM.data_AGGCCACTCCGTACGG-1", "iM.data_CAGATACTCCCGAGGT-1", "iM.data_CGTCCATCACGAAGAC-1", "iM.data_ACTTCGCGTATCGCGC-1", "iM.data_CATTCCGCATTAGGAA-1", "iM.data_TTGAGTGGTCCTCAGG-1", "iM.data_TGGTACAGTTCGTGCG-1", "iM.data_AGACTCACATGAAAGT-1", "iM.data_TGGTACAGTTGCAAGG-1", "iM.data_AGGAGGTCAAAGACGC-1", "iM.data_CAATACGAGAAGAACG-1", "iM.data_AATGGAATCCGAGCTG-1", "iM.data_GTACAGTCATCTCGTC-1", "iM.data_GACACGCCATCTAACG-1", "iM.data_CTGTACCAGTCTCGTA-1", "iM.data_TCCCATGAGGGCAGGA-1", "iM.data_ATACCTTCACATAACC-1", "iM.data_GAGTTACTCTCGCTCA-1", "iM.data_TGGGAAGCAAGCACAG-1", "iM.data_CCTCACAGTCCAAATC-1", "iM.data_TAGGGTTTCTCGCTCA-1", "iM.data_ACATGCATCCTCTCGA-1", "iM.data_GAGTTTGTCGATGCAT-1", "iM.data_TTACGCCGTTTCTATC-1", "iM.data_AGGGCCTCACAGACGA-1", "iM.data_CTCATTACAATGTTGC-1", "iM.data_AGTCTCCTCATGCTAG-1", "iM.data_GAGATGGCAGACACAG-1", "iM.data_TCCAGAAGTAGCGTAG-1", "iM.data_CTGGTCTTCCAACTGA-1", "iM.data_ATCAGGTGTGACGTCC-1", "iM.data_GCGATCGCATCATTGG-1", "iM.data_CAGCCAGTCCGTGCGA-1", "iM.data_TGGGTTAGTCCAAAGG-1", "iM.data_CATCGCTAGTAAAGCT-1", "iM.data_GCCCGAAAGAACAGGA-1", "iM.data_CATGGTATCTGCATAG-1", "iM.data_GCACTAATCCATTTCA-1", "iM.data_AAACGAAAGCTAGTTC-1", "iM.data_TTCCTTCCAGACCGCT-1", "iM.data_ACACGCGTCCAAGAGG-1", "iM.data_ACGATGTCAATATCCG-1", "iM.data_CCTAAGATCTGGACCG-1", "iM.data_GGAGGTACATTCTCTA-1", "iM.data_TTGCCTGAGGGTTGCA-1", "iM.data_TCATTACGTGCACAAG-1", "iM.data_GTATTTCAGCCTCTCT-1", "iM.data_GTCCCATTCCAGCAAT-1", "iM.data_GTCAAACAGATACATG-1", "iM.data_GAAGTAACATGACGGA-1", "iM.data_CTTGATTTCGAACGGA-1", "iM.data_ACGGTTAAGGTACATA-1", "iM.data_AGCATCATCCGATAAC-1", "iM.data_CATGGATGTTTGGGTT-1", "iM.data_TACGCTCTCCTTCTGG-1", "iM.data_GTCATCCCAGGTTCGC-1", "iM.data_CTCACTGAGGTGCTGA-1", "iM.data_TGAATCGGTAGGTAGC-1", "iM.data_CACGTGGCAGCCTACG-1", "iM.data_TTACGTTCATCTTCGC-1", "iM.data_TACCCACCAGAGAATT-1", "iM.data_GACCTTCTCATCGTAG-1", "iM.data_GTAATCGCAGACATCT-1", "iM.data_AGTCTCCTCCAGTGCG-1", "iM.data_GCTTGGGCACATTGTG-1", "iM.data_GCTACCTTCACCTCTG-1", "iM.data_GTAGAAAAGGGATCTG-1", "iM.data_GTCATGAAGTCCCGGT-1", "iM.data_TAACACGTCCTATTTG-1", "iM.data_ATCCGTCTCGCTACAA-1", "iM.data_GCTACAACACAGCCAC-1", "iM.data_GTATTTCCATCCTCAC-1", "iM.data_TCTCTGGGTTCCTACC-1", "iM.data_AGAAATGTCCGAGTGC-1", "iM.data_TTCATTGTCATGTCTT-1", "iM.data_CCACGTTCATCGTCCT-1", "iM.data_AGATGAACAATGCAGG-1", "iM.data_ACAGCCGCAGTGAGCA-1", "iM.data_AGTTCCCTCCCATAAG-1", "iM.data_CCGGTAGCAATGTTGC-1", "iM.data_CGGACACGTATTCCTT-1", "iM.data_ACGTAGTTCCACTAGA-1", "iM.data_GGGATCCAGCCTTTGA-1", "iM.data_TATACCTTCCCAACTC-1", "iM.data_GAATCGTCAGGAGGTT-1", "iM.data_GTAATGCGTCCGTACG-1", "iM.data_TACACCCGTGCCGGTT-1", "iM.data_TTCACGCAGCAACAAT-1", "iM.data_AGGGTCCCATGAATCC-1", "iM.data_GTCATGACACCGTACG-1", "iM.data_TACATTCTCGGTGCAC-1", "iM.data_CACTAAGTCCGTAGGC-1", "iM.data_GGGCTACCATCCTATT-1", "iM.data_TCATTACCAACCCTAA-1", "iM.data_TACGGGCAGTATAACG-1", "iM.data_CTGCCTAGTCCTCCAT-1", "iM.data_GTCAAACGTATTTCTC-1", "iM.data_TCAATTCTCGGATAAA-1", "iM.data_CTCCACATCCGTGACG-1", "iM.data_GAGGGTATCGTGGACC-1", "iM.data_CTCATTATCATTCACT-1", "iM.data_TTGAACGAGCTAAACA-1", "iM.data_CAACCAATCTGGGAGA-1", "iM.data_AGAAATGCAATCAAGA-1", "iM.data_CGATGCGAGCGGCTCT-1", "iM.data_CCACACTGTGATTGGG-1", "iM.data_TGTGCGGAGCACCCAC-1", "iM.data_AGTAGTCAGTTGTCAC-1", "iM.data_AACCACACATCAGCAT-1", "iM.data_CGAATTGGTTACGTAC-1", "iM.data_CCGTAGGCAGCGTTGC-1", "iM.data_TCCCACAAGCCTGGAA-1", "iM.data_ACTTTCACATTATGCG-1", "iM.data_AGCTACACATAGAGGC-1", "iM.data_TGGTAGTAGACCTCAT-1", "iM.data_GTCAAACGTTTATGCG-1", "iM.data_TCGCTTGTCGTCCTCA-1", "iM.data_CATTCCGGTATGCTAC-1", "iM.data_GTCCCATGTGATAGTA-1", "iM.data_AAGCGTTTCGCGCTGA-1", "iM.data_CACGTGGCACACACGC-1", "iM.data_CCCTCAACAGTTACCA-1", "iM.data_ATAGACCCAGCTAACT-1", "iM.data_TTCACCGGTTATCTGG-1", "iM.data_ATACTTCTCGAACGCC-1", "iM.data_ATGCATGTCACTACGA-1", "iM.data_ACAGGGAAGCTGTCCG-1", "iM.data_TATATCCAGGTGCCTC-1", "iM.data_CACGTTCGTATTGACC-1", "iM.data_TGACTCCTCTGAATGC-1", "iM.data_TTGGGCGCATACTGTG-1", "iM.data_AAAGGGCGTTCTGAGT-1", "iM.data_TAGGGTTCACTCTAGA-1", "iM.data_ATTCAGGTCTCATGCC-1", "iM.data_GTGTGATCAGTTGCGC-1", "iM.data_TCGCAGGGTTATAGAG-1", "iM.data_AGACAGGAGAGGTGCT-1", "iM.data_TAATCTCGTGGCATCC-1", "iM.data_AAATGGACACTTCTCG-1", "iM.data_CATGCAACATGACGAG-1", "iM.data_TAACGACGTAACACCT-1", "iM.data_GATGATCCAACTGCCG-1", "iM.data_CGGAATTCACTTCAGA-1", "iM.data_GGAATCTGTGGGCTCT-1", "iM.data_TTGACCCAGGCAGGTT-1", "iM.data_TGCAGGCCATAGATGA-1", "iM.data_GATGTTGAGCCTAACT-1", "iM.data_ATGTCCCCATGCCGCA-1", "iM.data_CATCCACGTTGTATGC-1", "iM.data_TCCTTTCCACGCGTGT-1", "iM.data_CGCATAATCAACTGGT-1", "iM.data_GAGGCAAGTCGCAGTC-1", "iM.data_CACGTTCTCGCCTTGT-1", "iM.data_TCATTCAGTTGCTCCT-1", "iM.data_AAGTACCTCATGCCCT-1", "iM.data_TTCAATCCACGTGTGC-1", "iM.data_CCCAACTAGCACACAG-1", "iM.data_TAACGACCATCGCTCT-1", "iM.data_ATCCCTGGTCTCAGGC-1", "iM.data_TCTGCCATCCAGTGTA-1", "iM.data_CGCCATTCATAAGCAA-1", "iM.data_AAGACAAGTATCGCGC-1", "iM.data_TATATCCCAATCCAGT-1", "iM.data_TGCTGAACATCGATCA-1", "iM.data_TGAGGTTCAGCACCCA-1", "iM.data_TTCTTCCTCGCCTATC-1", "iM.data_TTCCTCTTCGAAGCCC-1", "iM.data_TAGTGCATCGCAGTTA-1", "iM.data_TGCTTGCAGGCAATGC-1", "iM.data_ATCGTAGCAAGCAATA-1", "iM.data_CAGATCAGTGATTAGA-1", "iM.data_CTTTCAACACACACGC-1", "iM.data_AAAGGATCAACGGCTC-1", "iM.data_CGAGTTATCGGCCCAA-1", "iM.data_TTGTGGAGTGCCTACG-1", "iM.data_GATTTCTGTTGCACGC-1", "iM.data_GGGCCATTCGTTCATT-1", "iM.data_TGTAAGCTCCCGTAAA-1", "iM.data_TTCCAATGTCGCCTAG-1", "iM.data_TACATTCTCGCACGAC-1", "iM.data_TCATACTGTAGCTTGT-1", "iM.data_TCACATTCATGAATCC-1", "iM.data_TCCTGCATCCGTACGG-1", "iM.data_CATTCATCAAAGGCGT-1", "iM.data_TATCTTGAGCCTGAGA-1", "iM.data_AGAAATGTCAAGCCCG-1", "iM.data_TCACTATTCTGGGCCA-1", "iM.data_GCGTGCAAGACCAGCA-1", "iM.data_ATGAAAGCATGATCTG-1", "iM.data_CATTGTTAGCAACTCT-1", "iM.data_AAGACAAGTATTGGCT-1", "iM.data_CACGTTCAGGTTCATC-1", "iM.data_TGCAGGCTCATCTGTT-1", "iM.data_ATCCACCCAGGCATTT-1", "iM.data_CTCATCGCATTCATCT-1", "iM.data_TTCCACGCACTGAGGA-1", "iM.data_CCGTTCAGTTTGCCGG-1", "iM.data_AGGCTGCTCTCCCATG-1", "iM.data_CATCAAGCAAGGCAAC-1", "iM.data_GTTCTATAGGCACTCC-1", "iM.data_GACTGATTCATGACAC-1", "iM.data_TGACGCGGTCCATCTC-1", "iM.data_GAGTTGTAGACCATTC-1", "iM.data_CTCCATGGTCCACAGC-1", "iM.data_AACCAACAGCTAGCCC-1", "iM.data_TACTGCCAGAAACCCG-1", "iM.data_AGGACGACACTGTGAT-1", "iM.data_TGCCGAGTCTATCGCC-1", "iM.data_AGGTTACTCTGCACCT-1", "iM.data_CATACAGCATAGTCAC-1", "iM.data_AGGGTTTAGGCTTCCG-1", "iM.data_ATGGGAGAGTCTACCA-1", "iM.data_AAGAACAGTGCGAACA-1", "iM.data_AGTGCCGGTTAATGAG-1", "iM.data_CGAGGAACAGCTGCCA-1", "iM.data_CCTCTCCCAACGACTT-1", "iM.data_CAATTTCAGCAATTAG-1", "iM.data_TCAGCCTGTCTGCGCA-1", "iM.data_GCCTGTTCAACGACTT-1", "iM.data_TTGTGGATCCGAAGGA-1", "iM.data_ACTTCCGTCACGATCA-1", "iM.data_GAAGAATAGACCTCAT-1", "iM.data_CTCACTGGTGTCCACG-1", "iM.data_GTAATGCAGGTTGGTG-1", "iM.data_CCACTTGCAACCAATC-1", "iM.data_CATAGACCATACAGCT-1", "iM.data_TACGGGCTCACGGACC-1", "iM.data_ATGGATCCATCGCCTT-1", "iM.data_TCACACCTCTCTCTTC-1", "iM.data_GAATCGTTCAGTCATG-1", "iM.data_CTAAGTGCACGATTCA-1", "iM.data_CTCATCGAGGCTGAAC-1", "iM.data_TCGCAGGTCTCGGTCT-1", "iM.data_TCAAGACTCGGATTAC-1", "iM.data_GCCATTCAGTCACACT-1", "iM.data_GTCCACTTCCAGCTCT-1", "iM.data_CCTCAACAGATTGAGT-1", "iM.data_AAGCGTTAGCAGAAAG-1", "iM.data_AGTGATCTCGTCCATC-1", "iM.data_GACCGTGGTTACGATC-1", "iM.data_TGTTCATAGGTTAAAC-1", "iM.data_CCTAACCCACTGAATC-1", "iM.data_GTAAGTCCAACGACAG-1", "iM.data_TCAAGCACATCATTGG-1", "iM.data_GGGCGTTTCTCTGCTG-1", "iM.data_AATCACGTCCTAAACG-1", "iM.data_TTTCACAGTTGCTTGA-1", "iM.data_TAGACTGCATTGACCA-1", "iM.data_CGAGTTATCAGCTTCC-1", "iM.data_CCCGAAGTCCACCCTA-1", "iM.data_AGACACTAGAACAAGG-1", "iM.data_GTTAGTGCAAGATGGC-1", "iM.data_CACCGTTTCCTAGCCT-1", "iM.data_TATTGCTAGTCTAACC-1", "iM.data_AACGGGAGTACTCGAT-1", "iM.data_CTACTATAGGGTCACA-1", "iM.data_TCTGGCTTCAAGGCTT-1", "iM.data_GTGTCCTCACGTAACT-1", "iM.data_ACTTCGCTCCTCAGAA-1", "iM.data_TAGGTTGGTAGTGGCA-1", "iM.data_TCGGGACTCTAGTGTG-1", "iM.data_CCACACTCAACACAAA-1", "iM.data_TAGACCAGTTAGGACG-1", "iM.data_TAAGCCAAGCTAGAAT-1", "iM.data_GACACGCTCCTCACTG-1", "iM.data_ACATTTCAGCCATTCA-1", "iM.data_TTGTTGTGTAACATGA-1", "iM.data_AACGTCAGTCATCGGC-1", "iM.data_CTACGGGAGTGCGACA-1", "iM.data_GGTGTTAGTCACGACC-1", "iM.data_GTCACTCAGCATATGA-1", "iM.data_ACGTCCTCACCGTGCA-1", "iM.data_GTCACTCCATGTTCGA-1", "iM.data_ACGGTCGAGTGTTCCA-1", "iM.data_ATGAAAGTCCAAGAGG-1", "iM.data_CAATACGAGTTTGAGA-1", "iM.data_CATGCAAAGTATGGCG-1", "iM.data_GGGATCCCAGCTTTCC-1", "iM.data_TATCTGTTCAACCTTT-1", "iM.data_TCAATTCGTGCCGTTG-1", "iM.data_ATCGTAGCAGGCTCTG-1", "iM.data_AATGGCTGTTGCACGC-1", "iM.data_GCCCGAAAGAACCCGA-1", "iM.data_GACCAATTCGCTGTTC-1", "iM.data_TGGGAAGTCACTGTCC-1", "iM.data_ACCCAAAAGGTTACCT-1", "iM.data_ATACCTTTCTACCCAC-1", "iM.data_AGACAAAGTAGACTGG-1", "iM.data_GCTACAAAGGGACCAT-1", "iM.data_TTACGCCCAGAACTCT-1", "iM.data_GTCATGAGTCGATTTG-1", "iM.data_TATTTCGCAAGGCTTT-1", "iM.data_ACTATGGGTGAGTAAT-1", "iM.data_GAGCTGCTCTGCACCT-1", "iM.data_GAATCACGTAGACGGT-1", "iM.data_TTCTTCCAGGCATCTT-1", "iM.data_GGTCACGGTTAAACAG-1", "iM.data_AGTGTTGAGTATTGCC-1", "iM.data_ACCCAAATCACCTTAT-1", "iM.data_TAGCACATCCTTATAC-1", "iM.data_CATGAGTAGCAACCAG-1", "iM.data_TCGAACAAGCCTGCCA-1", "iM.data_GTGTGGCCACGAAAGC-1", "iM.data_AAGCGAGAGATGACCG-1", "iM.data_GAGACCCCATAACGGG-1", "iM.data_CATACCCCAAACACGG-1", "iM.data_TCAGGTACAGCTTTGA-1", "iM.data_TGTCCCACAAAGCTAA-1", "iM.data_TCATTCAGTCATCAGT-1", "iM.data_ACCAAACTCAAACGAA-1", "iM.data_GTTACCCCAGGAGGTT-1", "iM.data_TCTACCGGTTACACAC-1", "iM.data_GGAGATGAGTCAGGGT-1", "iM.data_CAACAACGTCGCATGC-1", "iM.data_TGTCCACCACCGTGAC-1", "iM.data_CCAATGATCACGGAGA-1", "iM.data_TCGAACATCTAGCCAA-1", "iM.data_CATTGAGTCCCTTCCC-1", "iM.data_TATCGCCGTCTACACA-1", "iM.data_CATTCCGGTATGGAAT-1", "iM.data_CTTACCGGTCCTATAG-1", "iM.data_GGGCTCACAACGACTT-1", "iM.data_CTCAGTCCATCGGCCA-1", "iM.data_AAGATAGTCCGGCAGT-1", "iM.data_AGGACTTGTGCAACAG-1", "iM.data_CCTCTCCGTTGCCGAC-1", "iM.data_GCCCAGAGTTCGTACA-1", "iM.data_GTCAAACCAGTATACC-1", "iM.data_CAGCAGCCAGAGTTCT-1", "iM.data_GCAACCGTCCATGATG-1", "iM.data_GGGTGTCTCCAAGCAT-1", "iM.data_GGGTGAACATCTTCGC-1", "iM.data_ATTCCTATCCATAGGT-1", "iM.data_CTCCTCCCATAACAGA-1", "iM.data_ACAGCCGGTCCTGGGT-1", "iM.data_TAGACTGTCATGCCAA-1", "iM.data_TACCCACCACCGGCTA-1", "iM.data_AACAGGGAGCCTGAGA-1", "iM.data_ATGGGAGGTCATGGCC-1", "iM.data_GGGACTCAGCGATTCT-1", "iM.data_CCATCACTCCAGCCTT-1", "iM.data_GTGGAGAGTCTTGAAC-1", "iM.data_GACACGCCACACCTAA-1", "iM.data_CATCCCAAGGACAACC-1", "iM.data_GAAGCGAGTAGCTGCC-1", "iM.data_CACTGTCTCTCATGCC-1", "iM.data_TGTCCACGTGACATCT-1", "iM.data_ATCGTCCCAGACCATT-1", "iM.data_CAGTTCCCAAGTTCCA-1", "iM.data_GACTTCCGTTACACAC-1", "iM.data_TGTCCACGTCAGCTTA-1", "iM.data_GCTACCTGTACATACC-1", "iM.data_ACAACCAAGCCAACCC-1", "iM.data_TCATGCCTCTATTCGT-1", "iM.data_GCTTGGGCAGAAGTTA-1", "iM.data_GCCAGGTCATAGATCC-1", "iM.data_TCCGGGAGTTCACGAT-1", "iM.data_TAACCAGGTGATAGTA-1", "iM.data_CAACGGCAGGAACGAA-1", "iM.data_CCTCTCCGTGCGGTAA-1", "iM.data_GCAGGCTCATGATAGA-1", "iM.data_TAACACGAGTCAGAGC-1", "iM.data_CAGAGCCCAACCGCTG-1", "iM.data_GAAGGACCACCTCAGG-1", "iM.data_GGTTGTATCTCAACCC-1", "iM.data_TCTGCCACAGTTCTAG-1", "iM.data_TTTCACAGTCACTGAT-1", "iM.data_GAATCACTCCTCTCTT-1", "iM.data_AGACCATCACTACTTT-1", "iM.data_TTCTGTACATCGGCCA-1", "iM.data_GAACACTTCCGTAATG-1", "iM.data_TAAGTCGTCCTTCTGG-1", "iM.data_TCGACCTTCTACGCAA-1", "iM.data_CTTGATTTCAAGATAG-1", "iM.data_CCTTCAGTCAGTCACA-1", "iM.data_CAATACGCACTTGTGA-1", "iM.data_CATTGCCCACTGATTG-1", "iM.data_TCAGCCTTCTTCACGC-1", "iM.data_CCGGTGACATCCTTCG-1", "iM.data_AATGACCAGTTCACTG-1", "iM.data_ATGTCTTTCCAATCCC-1", "iM.data_CCACTTGCACAGTACT-1", "iM.data_AGGAGGTTCGTAGGGA-1", "iM.data_CCTCTAGCAACCCTCT-1", "iM.data_GATCAGTGTGCATTAC-1", "iM.data_CTTCTAACACCTCTAC-1", "iM.data_TTTCACATCTCCAAGA-1", "iM.data_ACTTTCACATCCGTGG-1", "iM.data_TCAGTGATCCAATCCC-1", "iM.data_CCCTTAGTCCGATCTC-1", "iM.data_CTCTCAGAGGAACGCT-1", "iM.data_CAAGCTACATAAGCGG-1", "iM.data_TGGATCAAGCATCCCG-1", "iM.data_GCAACCGAGTCGTTAC-1", "iM.data_CAGATACCACATCCCT-1", "iM.data_TCCACCACAGTTCCAA-1", "iM.data_AGTGACTAGCGACTGA-1", "iM.data_CCGTTCACAGCCGTTG-1", "iM.data_ACAAGCTAGTACTGGG-1", "iM.data_CTAGACATCCTTCAGC-1", "iM.data_TCGCTCAAGGGCAATC-1", "iM.data_ACCCAAAGTTCGTAAC-1", "iM.data_CACTGTCCAGAGTTCT-1", "iM.data_TCCACGTTCAGTGATC-1", "iM.data_CATTGAGTCCCGAATA-1", "iM.data_TCCTCGACAGTAACGG-1", "iM.data_AGAGCAGCATAGGCGA-1", "iM.data_CTTCCGAGTCGCAGTC-1", "iM.data_TCATCATCAGTGAGCA-1", "iM.data_AGAGCAGCAGAGGCTA-1", "iM.data_TTACCATCAATGAAAC-1", "iM.data_GGTAACTAGGTTACAA-1", "iM.data_CAATGACAGTATAGAC-1", "iM.data_AGAACAACAGCGGTCT-1", "iM.data_AGGTGTTCAACAGAGC-1", "iM.data_AGACACTCAGCGACCT-1", "iM.data_ACCAACATCGTTCTGC-1", "iM.data_CAGCAATTCCGAGGCT-1", "iM.data_ATTCCTATCTGAACGT-1", "iM.data_AAGTTCGAGTACTGGG-1", "iM.data_ACCTGTCTCCGTGTAA-1", "iM.data_TTACGTTTCAAACGTC-1", "iM.data_AACGAAAAGCTAGTTC-1", "iM.data_ATCCATTTCGACCTAA-1", "iM.data_TCACTATAGAAATGGG-1", "iM.data_CGGGTCATCCCTCTCC-1", "iM.data_AGACAGGGTTATCCAG-1", "iM.data_GAACTGTCAATGTCAC-1", "iM.data_AGGGTGAAGCTTCTAG-1", "iM.data_AGAACAATCCAGTGCG-1", "iM.data_TGGATGTTCTGGTGCG-1", "iM.data_TGCATCCCATCTGGGC-1", "iM.data_TCACACCCAGCTGTTA-1", "iM.data_ACTACGAGTGCAAGAC-1", "iM.data_CTGCAGGAGCTATCCA-1", "iM.data_TGTCAGAGTAGACACG-1", "iM.data_TTCATTGTCAAGAGTA-1", "iM.data_TATTGGGCATACTGTG-1", "iM.data_TACTTACTCCACGTCT-1", "iM.data_AACGGGAAGATCACTC-1", "iM.data_AACAAGACACCTCGTT-1", "iM.data_CTTCCTTTCGAACACT-1", "iM.data_CATCCACCACAAATCC-1", "iM.data_GGAGGTAGTAACCCTA-1", "iM.data_AGGGTGATCACCGCTT-1", "iM.data_CAGGGCTCAACGACTT-1", "iM.data_CGTTAGACATCGGTTA-1", "iM.data_CCACTTGTCCCAATAG-1", "iM.data_CGGGTGTTCTCGTTTA-1", "iM.data_CTGCAGGCAAGCTGCC-1", "iM.data_TCGAACAGTCTCCTGT-1", "iM.data_ATGGGAGCATAGAAAC-1", "iM.data_CAACAACCAAGTTTGC-1", "iM.data_GCAACCGGTGCAACGA-1", "iM.data_CATTGCCCAGGGATAC-1", "iM.data_ACACGCGAGTTCATGC-1", "iM.data_TACGGGCCAACATACC-1", "iM.data_GCGGAAATCTAGCAAC-1", "iM.data_TACACCCTCCATTCAT-1", "iM.data_GCATGATCAAATACGA-1", "iM.data_TCACGGGAGAAACACT-1", "iM.data_TCATTACAGTGCAAAT-1", "iM.data_TGCAGTATCGCTCTAC-1", "iM.data_CCCTCTCAGTCCCAAT-1", "iM.data_CCACACTCATTAAAGG-1", "iM.data_CAACGGCTCTACTGCC-1", "iM.data_GGTAACTAGCCTTCTC-1", "iM.data_CAGCAATGTCGTCATA-1", "iM.data_GTCTGTCTCTGTGCGG-1", "iM.data_TTGTTGTGTCGGAACA-1", "iM.data_CAAGACTTCCAACACA-1", "iM.data_CATGCGGGTCCCGTGA-1", "iM.data_TGCATCCAGGTGGCTA-1", "iM.data_TCCTGCAGTACCCGCA-1", "iM.data_TCTGGCTCAAGTTTGC-1", "iM.data_ATACCGACATCATTGG-1", "iM.data_CTATCCGAGAGCCGAT-1", "iM.data_TCTCAGCCACGGCTAC-1", "iM.data_TGTCCTGCACCTATCC-1", "iM.data_AGAACAACAGTGGCTC-1", "iM.data_GCTCAAAGTGAGACGT-1", "iM.data_ATCCGTCTCGCACGGT-1", "iM.data_CATTTCAAGCATCCCG-1", "iM.data_CGGACACCAGGAACCA-1", "iM.data_AGGGAGTCACAAGGTG-1", "iM.data_GCTGGGTGTTGAGTCT-1", "iM.data_CATTTCATCCACCCTA-1", "iM.data_CTTAGGAGTGAACTAA-1", "iM.data_ACGGTTACACCAGGTC-1", "iM.data_AACCTGAAGTATTCCG-1", "iM.data_CACACAAAGCCGTTAT-1", "iM.data_TAGAGTCAGGACTAAT-1", "iM.data_GTAAGTCAGGAAAGAC-1", "iM.data_CATGCGGAGGATCATA-1", "iM.data_TACCTCGCAACCAATC-1", "iM.data_CACACAAGTTTACGAC-1", "iM.data_ATGGGTTGTCCCGGTA-1", "iM.data_ACTATTCCAAGACGAC-1", "iM.data_AGACACTCACTCATAG-1", "iM.data_GATAGAACATAGACTC-1", "iM.data_CACTAAGTCTGAATCG-1", "iM.data_CAATCGATCAAAGAAC-1", "iM.data_CGGGTCAAGGGCCAAT-1", "iM.data_AATGGAACAATCTCTT-1", "iM.data_TGTCCTGCAAACCGGA-1", "iM.data_GCAACATGTCTATGAC-1", "iM.data_ACGTACATCCTAGAGT-1", "iM.data_CATGCCTGTTTCGACA-1", "iM.data_CTACGGGTCAGACCCG-1", "iM.data_GTAGCTACACAGCTGC-1", "iM.data_CTCCACACAACTCATG-1", "iM.data_ACCACAATCGTCTACC-1", "iM.data_CTGGCAGTCATTCACT-1", "iM.data_CACAACACATCGAGCC-1", "iM.data_GTGGCGTTCAAGAATG-1", "iM.data_AGAGCCCCATCTAGAC-1", "iM.data_GACAGCCAGAAGCCAC-1", "iM.data_GATAGCTTCCGTTTCG-1", "iM.data_TTGCCTGGTCTTCTAT-1", "iM.data_AACAAAGCAATTGCCA-1", "iM.data_AGTTCGAGTTTCAGAC-1", "iM.data_ATGAGTCTCTAACACG-1", "iM.data_CAGGCCATCACCTACC-1", "iM.data_TCCACCAAGGCTCAAG-1", "iM.data_ATGAAAGTCGAAGCAG-1", "iM.data_TCGCTCACACCTATCC-1", "iM.data_CTTCAATGTACAGAAT-1", "iM.data_CGAATTGTCCGCAAAT-1", "iM.data_ATTCAGGCATACACCA-1", "iM.data_CCACGAGGTTCTGACA-1", "iM.data_GTGAGGATCTGGACTA-1", "iM.data_CCACGTTTCCGCGAGT-1", "iM.data_GCATGATTCACTTCTA-1", "iM.data_GGGTTATCATGCGGTC-1", "iM.data_ACATCCCTCTTCCCGA-1", "iM.data_CATGCTCCACTCCCTA-1", "iM.data_AAGACAATCTTCGACC-1", "iM.data_AACGGGAAGGTCGACA-1", "iM.data_CAGGTATGTCATCAGT-1", "iM.data_GCATCTCAGCCTTCTC-1", "iM.data_GAACTGTGTCACATTG-1", "iM.data_AATCACGAGTACCCTA-1", "iM.data_CCGTGAGAGGTTTACC-1", "iM.data_GCTGAATAGACCATGG-1", "iM.data_AACACACAGCCTCTGG-1", "iM.data_TAACGACCACACGTGC-1", "iM.data_GCCGATGGTCTTCAAG-1", "iM.data_TCAAGACCATGGTGGA-1", "iM.data_GACCAATGTACGTTCA-1", "iM.data_TCCTTTCGTATCAGCT-1", "iM.data_CTACGGGCACTGAATC-1", "iM.data_ATAGGCTCAGCAGTTT-1", "iM.data_AAGGTAAGTATACCCA-1", "iM.data_AGGTTGTCAACGACTT-1", "iM.data_CTAACCCTCCATTTAC-1", "iM.data_CAGTTCCGTCTCAGGC-1", "iM.data_AGTCAACGTCCATCTC-1", "iM.data_ACTTATCGTCTCTCAC-1", "iM.data_AAGTACCAGACCAGCA-1", "iM.data_TCCACGTCAGCTGTCG-1", "iM.data_TGCAGGCTCCCAGGCA-1", "iM.data_TCTATACCATTGACCA-1", "iM.data_AAAGTCCTCATCGTAG-1", "iM.data_CCTTGTGGTGCCTAAT-1", "iM.data_ACTTCGCTCTCTCGAC-1", "iM.data_ACCAAACGTCTGCCTT-1", "iM.data_TCCTTCTTCCATACAG-1", "iM.data_ATCGCCTCAGCCCACA-1", "iM.data_ACCACAATCTCCTGCA-1", "iM.data_CAGCACGTCTCTCGAC-1", "iM.data_AGGATAAGTCCACTCT-1", "iM.data_GTACAACCAGCGGTTC-1", "iM.data_GAGGCCTTCGTTCCCA-1", "iM.data_TCTACATTCCCAGGCA-1", "iM.data_AACAACCAGGCCTGAA-1", "iM.data_TAGGTACCAAACTCTG-1", "iM.data_AACCTGACAAGCTACT-1", "iM.data_GGGCTCACAAGCAGGT-1", "iM.data_GGCTGTGAGCGTACAG-1", "iM.data_GAAATGACAGGTCTCG-1", "iM.data_AGACACTCACCTTCGT-1", "iM.data_CGTTAGACATTACTCT-1", "iM.data_CAGTTCCCAGAGAATT-1", "iM.data_CGGAACCAGGTTCATC-1", "iM.data_CGGACACCACTTGAGT-1", "iM.data_AGGTTACGTATTAAGG-1", "iM.data_GCTGAATCATCCAATG-1", "iM.data_TGATCTTCATCAGCTA-1", "iM.data_GGTAACTGTGGTAACG-1", "iM.data_CAGATTGCAGGCATTT-1", "iM.data_AGGAGGTTCTTTGCTA-1", "iM.data_CTCCCAACAGAACGCA-1", "iM.data_CTAACCCGTATCGATC-1", "iM.data_CTAGACAAGACATCAA-1", "iM.data_AGAAATGCACAACGCC-1", "iM.data_TTTGGAGTCGGAAACG-1", "iM.data_ATCACAGTCCATATGG-1", "iM.data_TAACACGGTCAACCAT-1", "iM.data_TGAGCATGTCGCACAC-1", "iM.data_CCTAACCCACTACTTT-1", "iM.data_CACAACATCAAACTGC-1", "iM.data_CCGATGGGTTCAAACC-1", "iM.data_AGGGTGATCACCGGTG-1", "iM.data_GCACATATCTTCACGC-1", "iM.data_TTACCATTCTTCTCAA-1", "iM.data_ACGTACATCACTGCTC-1", "iM.data_TCCTAATTCGCATTAG-1", "iM.data_TAACACGGTTCGAACT-1", "iM.data_TACACCCTCACACCCT-1", "iM.data_GACCTTCTCACTGAAC-1", "iM.data_TACTTCATCTGTAAGC-1", "iM.data_CTCCTCCCAGCTGTAT-1", "d05.data2_TTCTAGTGTAGTAAGT-1", "d05.data2_TCGACCTTCTCCTGTG-1", "d05.data2_CTGAGCGGTCATATGC-1", "d05.data2_CTCCGATCAGTGAGCA-1", "d05.data2_TGTCAGAGTCGTCGGT-1", "d05.data2_GATCATGTCGTGCAGC-1", "d05.data2_GTGGCGTGTGAGCGAT-1", "d05.data2_GTAATCGAGCGCCGTT-1", "d05.data2_TCGTGGGAGAGTCGAC-1", "d05.data2_GTCGTTCTCGCTTAAG-1", "d05.data2_CTCAAGACAGGCATGA-1", "d05.data2_TAACCAGGTCGTACTA-1", "d05.data2_TCGTGCTAGACCTTTG-1", "d05.data2_TTCTAACGTACCGTCG-1", "d05.data2_GTTAGTGTCTTCGACC-1", "d05.data2_AACAACCCAGAGTCAG-1", "d05.data2_TTCATTGAGCGTCAGA-1", "d05.data2_TATCCTAGTCGAGATG-1", "d05.data2_AAGAACACAATTGGTC-1", "d05.data2_ACCCTTGTCTGTCTCG-1", "d05.data2_CTCATGCTCAATCGGT-1", "d05.data2_TACCCGTAGGGCCCTT-1", "d05.data2_TCCGGGAGTTGAATCC-1", "d05.data2_TTGCGTCGTACAAAGT-1", "d05.data2_AGTCATGTCTAGGCCG-1", "d05.data2_TAGATCGTCAGGAACG-1", "d05.data2_CAGAGCCGTCGTTTCC-1", "d05.data2_GTAACACAGTCGAAAT-1", "d05.data2_TTGCATTTCCTCATAT-1", "d05.data2_GTTACAGGTGACCGTC-1", "d05.data2_AACCTGATCAAGTCGT-1", "d05.data2_AGAACAAGTATGGTAA-1", "d05.data2_CCTCTCCCAGTCGGAA-1", "d05.data2_GTGATGTAGAGTGGCT-1", "d05.data2_AGGTCATGTAGAATGT-1", "d05.data2_CGATCGGCAGTGGTGA-1", "d05.data2_ACAGCCGGTGTAGCAG-1", "d05.data2_GTCAAACCAAATCGTC-1", "d05.data2_ACATCGAAGATCGCTT-1", "d05.data2_AAAGGGCGTCGTTGGC-1", "d05.data2_GGGTGTCAGGAGATAG-1", "d05.data2_CTGGCAGTCCGTTGAA-1", "d05.data2_GTGACGCAGCACGGAT-1", "d05.data2_TCGGGACGTGTACGCC-1", "d05.data2_CGAAGGACATGACTAC-1", "d05.data2_TCTGCCAAGCGCCTTG-1", "d05.data2_CGTGTCTCAGGTGTTT-1", "d05.data2_GGAGGATTCGGCTGAC-1", "d05.data2_ACAGGGAGTCGGTGTC-1", "d05.data2_GAACTGTCAGAACTAA-1", "d05.data2_ATTTCTGCATCCGGCA-1", "d05.data2_TCGAACATCAGACCGC-1", "d05.data2_GTGTTAGGTGGATCAG-1", "d05.data2_TGATCTTGTTTACTGG-1", "d05.data2_TCGGGCATCAGCGTCG-1", "d05.data2_ATTTCTGCATTATGCG-1", "d05.data2_TCATCCGAGTGCGTCC-1", "d05.data2_CGTGTCTTCACTTCTA-1", "d05.data2_GTCACTCCACTTTAGG-1", "d05.data2_TCGCAGGGTTGGGTAG-1", "d05.data2_CAAGCTATCGTAGTCA-1", "d05.data2_GTGTTAGTCGGCCAAC-1", "d05.data2_TTCGATTTCTTCGGAA-1", "d05.data2_AGACACTGTCTAGATC-1", "d05.data2_CGTGCTTCAAGAGTTA-1", "d05.data2_GTGAGTTAGTGTTCAC-1", "d05.data2_TCGACCTCAAAGAGTT-1", "d05.data2_CAGTTAGTCGGCTGTG-1", "d05.data2_TATTTCGAGATGGGCT-1", "d05.data2_GGGTTATAGGAAAGAC-1", "d05.data2_TCGTGGGGTAACACCT-1", "d05.data2_TATCTTGCACGTCGGT-1", "d05.data2_GTTACGAAGGGAGTGG-1", "d05.data2_GTCGCGAAGAGAATCT-1", "d05.data2_GTTACGAGTGATTGGG-1", "d05.data2_TCAAGCAGTAGCGTAG-1", "d05.data2_CGTGCTTCAGCTCATA-1", "d05.data2_CTATCTAGTGAATTAG-1", "d05.data2_ATGATCGGTCTGGTTA-1", "d05.data2_AGGTCATAGTATTCCG-1", "d05.data2_GTACAACAGCAAATCA-1", "d05.data2_GTCTACCTCAAGTCGT-1", "d05.data2_CATCGGGGTCAGTTTG-1", "d05.data2_AAAGGATCATGACGAG-1", "d05.data2_TCTATACGTTTAGAGA-1", "d05.data2_CTCCGATAGCCTGAAG-1", "d05.data2_TCGTAGATCAATCTTC-1", "d05.data2_GTAAGTCCAATCGAAA-1", "d05.data2_CTCTCGAGTCGCATCG-1", "d05.data2_CCGGGTAGTGATTAGA-1", "d05.data2_AGGGTCCCACAATGAA-1", "d05.data2_GATCATGTCACCTCAC-1", "d05.data2_GGGAGATAGAGCAGTC-1", "d05.data2_GTGGCGTCATATACCG-1", "d05.data2_TTAGGGTTCGGCATAT-1", "d05.data2_CAAGAGGTCATGCCAA-1", "d05.data2_TTAGTCTGTGACTAAA-1", "d05.data2_CCCATTGGTTCAAGTC-1", "d05.data2_GCTGGGTGTACGGCAA-1", "d05.data2_GAAATGAGTACAATAG-1", "d05.data2_CCCGGAATCTCTGACC-1", "d05.data2_AGTTAGCGTCGCAACC-1", "d05.data2_CGTTGGGGTGACGCCT-1", "d05.data2_CATCGGGGTTCGAACT-1", "d05.data2_TCGGGCAAGGGCAGAG-1", "d05.data2_CTGCAGGGTATGGAGC-1", "d05.data2_GTGTAACTCCGTAGGC-1", "d05.data2_CACAGGCTCGGCTCTT-1", "d05.data2_AGAGAGCTCTGCGTCT-1", "d05.data2_TACCTCGAGTCTAGCT-1", "d05.data2_AGTGTTGGTATGCGGA-1", "d05.data2_TGGGAAGTCTCGCCTA-1", "d05.data2_GTAACACGTTGGGTAG-1", "d05.data2_GTGAGGAAGACTTCGT-1", "d05.data2_CTGGCAGAGGGCAACT-1", "d05.data2_ATTCATCGTGCATGAG-1", "d05.data2_TCGGGTGGTCCACATA-1", "d05.data2_TACTGCCGTCGTATTG-1", "d05.data2_AATGGCTAGGGTTGCA-1", "d05.data2_AGTACTGCAGAGCTAG-1", "d05.data2_CCGTGAGAGCCAGAGT-1", "d05.data2_GTTGAACCATCGTGCG-1", "d05.data2_AGGGTTTAGGAGAGTA-1", "d05.data2_GGTGAAGAGTTGGGAC-1", "d05.data2_TGGAGAGTCGAGAAAT-1", "d05.data2_GGGTGTCCAGTAGAAT-1", "d05.data2_TGGGAAGTCCATCCGT-1", "d05.data2_TACGTCCGTGTGCCTG-1", "d05.data2_TCGACGGAGACAAGCC-1", "d05.data2_TGACGCGAGAGGCTGT-1", "d05.data2_CAGTTAGGTTCGGCGT-1", "d05.data2_ATTCAGGCAAGAATAC-1", "d05.data2_ATTCCTAGTAGCGTTT-1", "d05.data2_CTTCAATGTGTGCTTA-1", "d05.data2_GGGATGAAGTGTACCT-1", "d05.data2_TTACCATTCGAGTGAG-1", "d05.data2_TCAGTCCGTAGCGAGT-1", "d05.data2_GAATAGATCGCGGACT-1", "d05.data2_CATGCGGCAGATGCGA-1", "d05.data2_GTTGTAGCACGTGTGC-1", "d05.data2_GGAAGTGCAGGTCCCA-1", "d05.data2_ATCCTATAGTCGAAAT-1", "d05.data2_GTATTGGTCTGCGAGC-1", "d05.data2_GTCTACCGTATTGCCA-1", "d05.data2_TGGGAGATCGCAACAT-1", "d05.data2_CTGTGAAAGATTGGGC-1", "d05.data2_CGGGTGTTCCGGTAGC-1", "d05.data2_CATTCATTCGCAATTG-1", "d05.data2_GTTACGAAGAGCTGAC-1", "d05.data2_CCACAAAAGTGCGTCC-1", "d05.data2_TGGTGATGTGGCGCTT-1", "d05.data2_TCGAAGTCAGATTAAG-1", "d05.data2_AGTACTGTCATTGAGC-1", "d05.data2_GTGGAAGGTGCCCGTA-1", "d05.data2_ACCTGAACACGTTCGG-1", "d05.data2_AGGGTGAGTTAAGTCC-1", "d05.data2_TGTCAGACAAGAGAGA-1", "d05.data2_GATTGGTAGCGTCAGA-1", "d05.data2_GTAATGCAGTCCTGTA-1", "d05.data2_CACAGATCAGGCACTC-1", "d05.data2_CACGTGGGTATCCCTC-1", "d05.data2_GGGCTACGTGACAGGT-1", "d05.data2_CAGCCAGAGGATACGC-1", "d05.data2_CTTCGGTTCACTAGCA-1", "d05.data2_AGAGCAGAGCTGTCCG-1", "d05.data2_ACTGCAAAGCTAATGA-1", "d05.data2_TTCTGTAGTATGTCCA-1", "d05.data2_CTTCCGAGTGTCCACG-1", "d05.data2_AGAGCCCTCTGCATAG-1", "d05.data2_AAAGGTAAGCAGTCTT-1", "d05.data2_ATTCTACAGAGGACTC-1", "d05.data2_AAGCATCCACTTGTGA-1", "d05.data2_GGAAGTGCAAGGAGTC-1", "d05.data2_ACTTCGCGTCTTCTAT-1", "d05.data2_TATACCTGTGCTGTCG-1", "d05.data2_CTGAATGGTCGCGTCA-1", "d05.data2_TGCTCGTGTCACCACG-1", "d05.data2_CCCTCAATCTTCGATT-1", "d05.data2_TGTAGACAGGCTTTCA-1", "d05.data2_ATGGGTTGTGTCCGGT-1", "d05.data2_CGGGTCATCTTGGATG-1", "d05.data2_ACGATCATCGTCGCTT-1", "d05.data2_GGGACCTAGTAGGATT-1", "d05.data2_GATAGCTAGGGTAGCT-1", "d05.data2_TGGTTAGGTTAGTTCG-1", "d05.data2_TGCGACGAGGATAATC-1", "d05.data2_AGCCACGTCGTAGTGT-1", "d05.data2_GGTCACGCAACCGTGC-1", "d05.data2_CTCAACCGTTCGTACA-1", "d05.data2_CTGTAGAGTCTAACTG-1", "d05.data2_GAGTTGTGTCAGACGA-1", "d05.data2_GAGTGAGCACGCCAGT-1", "d05.data2_AGAAGTAAGAGCATAT-1", "d05.data2_TTGGATGTCGGATTAC-1", "d05.data2_TGGAGAGTCAGACTGT-1", "d05.data2_CATGCTCAGAGCCGTA-1", "d05.data2_CATACAGGTTACAGCT-1", "d05.data2_GAATCGTGTGTCTTGA-1", "d05.data2_TAGAGTCCAGAGAATT-1", "d05.data2_ACTTATCAGACTGAGC-1", "d05.data2_TCGGGACGTCGCATTA-1", "d05.data2_TAGGGTTAGACGCTCC-1", "d05.data2_GTAGATCAGGAAAGGT-1", "d05.data2_GATGTTGAGAGCATCG-1", "d05.data2_ACCCAAAAGTGTGTTC-1", "d05.data2_CAGTTCCCACGAAGAC-1", "d05.data2_GCGATCGGTATGTGTC-1", "d05.data2_GAACTGTAGCGTTCCG-1", "d05.data2_AGCATCACAGGAATAT-1", "d05.data2_CAACGATGTCGTCGGT-1", "d05.data2_GGCAGTCTCAGAGTTC-1", "d05.data2_TTACCGCGTGAGCCAA-1", "d05.data2_TGGGATTCAACCCTAA-1", "d05.data2_TTGGATGTCGTGGTAT-1", "d05.data2_GTTTGGACAATGAGCG-1", "d05.data2_AGGAATATCAAGATAG-1", "d05.data2_AAATGGAAGTGCTCAT-1", "d05.data2_ATCCGTCAGTTCCGTA-1", "d05.data2_ACTATTCCACTAGAGG-1", "d05.data2_GATAGCTAGTACGAGC-1", "d05.data2_CTACGGGGTCGTACTA-1", "d05.data2_TCTTAGTGTACAGGTG-1", "d05.data2_TCATGGATCGGCTTCT-1", "d05.data2_CAATGACGTCTGTCAA-1", "d05.data2_ACGGGTCGTCCTGGTG-1", "d05.data2_CCTATCGGTAGCACAG-1", "d05.data2_TAGGGTTAGCTGCCTG-1", "d05.data2_GTGAGGAGTAGATGTA-1", "d05.data2_TCCATCGGTTCTAACG-1", "d05.data2_ATCATTCAGTACGAGC-1", "d05.data2_ACGTAGTGTATCGCTA-1", "d05.data2_AGAGAATTCGGACAAG-1", "d05.data2_GTTAGTGCAACGTTAC-1", "d05.data2_AACAAAGAGCACTCAT-1", "d05.data2_GGTGGCTAGGAGCTGT-1", "d05.data2_TGGAGAGCAAGGTCGA-1", "d05.data2_CAGCAATTCCCATTTA-1", "d05.data2_ATCGTGATCTGCTAGA-1", "d05.data2_AGTTCGAGTAGGCTCC-1", "d05.data2_CTGTGGGTCATGCCAA-1", "d05.data2_AGAAATGAGAATTGTG-1", "d05.data2_GACCCAGTCGTTGTTT-1", "d05.data2_CATGGTAAGGGTTAAT-1", "d05.data2_GGGTAGAGTTCTTGTT-1", "d05.data2_GTTGCGGCATGGAGAC-1", "d05.data2_CTATCCGAGAATTCAG-1", "d05.data2_GGTAGAGTCCGAGGCT-1", "d05.data2_TGTTCATTCACTTGTT-1", "d05.data2_CAAGAGGTCCGTGACG-1", "d05.data2_GTGCTTCCAAGATGTA-1", "d05.data2_TGACAGTTCTCATAGG-1", "d05.data2_TCCATCGGTGAGACGT-1", "d05.data2_GGGACTCGTAATGTGA-1", "d05.data2_GTTTGGAAGATGTTAG-1", "d05.data2_TTCTTCCCATCGTCCT-1", "d05.data2_TCGTCCAGTACCCAGC-1", "d05.data2_CATGAGTAGTCTTCGA-1", "d05.data2_TAAGCCAGTCGCGTTG-1", "d05.data2_AGCTTCCCAGACTGCC-1", "d05.data2_GGTGATTCAAAGGATT-1", "d05.data2_TTCTTGAGTGTGTCCG-1", "d05.data2_ATGAGGGTCCGTACGG-1", "d05.data2_TAGGGTTTCAAGAGGC-1", "d05.data2_TCCGGGACAAGAGATT-1", "d05.data2_CCTATCGAGGCCTAGA-1", "d05.data2_CCGTTCATCATGCGGC-1", "d05.data2_CAATGACGTGATGAAT-1", "d05.data2_TCAGGTAGTCCTCATC-1", "d05.data2_ATGCCTCGTGGAGGTT-1", "d05.data2_CTCAGGGGTCACGACC-1", "d05.data2_AGAGAGCCATGGAGAC-1", "d05.data2_AGATGCTAGCTGCCAC-1", "d05.data2_CAGGTATTCTAGTACG-1", "d05.data2_AGTAGTCAGAATCGAT-1", "d05.data2_TATTGGGTCACCTGGG-1", "d05.data2_TACAACGAGCCTGAGA-1", "d05.data2_CTGTCGTCAACACGTT-1", "d05.data2_GGGTCTGGTGTGTGGA-1", "d05.data2_GATCACACAGTTAGGG-1", "d05.data2_CGCCAGATCGTCCTTG-1", "d05.data2_TAATTCCGTGGATCAG-1", "d05.data2_CATAAGCAGCGAACTG-1", "d05.data2_TTGCCTGTCGATAACC-1", "d05.data2_CTGAATGGTAAGATTG-1", "d05.data2_TTTGACTCATCGCCTT-1", "d05.data2_ATTTACCAGTTGAATG-1", "d05.data2_GTCATGAAGCATGTTC-1", "d05.data2_CTGTGAATCCACAGCG-1", "d05.data2_GAAATGAGTCGAGCAA-1", "d05.data2_GGTAATCCAATCGTCA-1", "d05.data2_ATAGAGAAGATCCCAT-1", "d05.data2_TAAGCGTCATTCTTCA-1", "d05.data2_GTGTTCCGTGTCTTGA-1", "d05.data2_TGTTTGTTCTCGCTCA-1", "d05.data2_CCCATTGCAAATGGTA-1", "d05.data2_AGTAGTCTCCTATTGT-1", "d05.data2_TGTAACGGTTCGAGCC-1", "d05.data2_AACCTTTAGTACCCTA-1", "d05.data2_GCCAGTGGTAATTAGG-1", "d05.data2_AGGGTTTCAGACCAAG-1", "d05.data2_CGTTGGGGTTTACCTT-1", "d05.data2_ACAACCATCGGATACT-1", "d05.data2_CGAAGTTTCGCCAGAC-1", "d05.data2_AATGACCGTCTGCCTT-1", "d05.data2_TAGGGTTTCGGCTATA-1", "d05.data2_CATACTTTCGCTGTCT-1", "d05.data2_TCATTACTCTGGGAGA-1", "d05.data2_GATAGAATCCCAAGTA-1", "d05.data2_CAGCGTGGTCTGATCA-1", "d05.data2_GGCTTGGTCAGGGTAG-1", "d05.data2_TCTTGCGGTAGTTAGA-1", "d05.data2_ATTCACTCATCATGAC-1", "d05.data2_CAATACGAGAGCAAGA-1", "d05.data2_TGACTCCCAGGAGGTT-1", "d05.data2_GGTGGCTGTCGAACAG-1", "d05.data2_CGGAACCCAGGAAGTC-1", "d05.data2_AGAAATGAGGACTATA-1", "d05.data2_GCACATAGTGGCTAGA-1", "d05.data2_TGTGAGTCAATACAGA-1", "d05.data2_GATTCGAGTCTTACTT-1", "d05.data2_GGGTATTCAGAGTCTT-1", "d05.data2_TTACCATAGGGTTAGC-1", "d05.data2_TGTTTGTGTTACGCCG-1", "d05.data2_ATTCTACGTCAGCGTC-1", "d05.data2_CCTCATGTCGTTGTGA-1", "d05.data2_CGCGTGATCGTAGAGG-1", "d05.data2_TACCCGTTCGTCGGGT-1", "d05.data2_TCAATTCTCAAATAGG-1", "d05.data2_AATCGTGCATCGAACT-1", "d05.data2_CCTTGTGCAGTATTCG-1", "d05.data2_CGTTGGGAGAACTTCC-1", "d05.data2_CCTGTTGCAGCACACC-1", "d05.data2_CAGTGCGGTCCAGTTA-1", "d05.data2_GAGTCTAGTAGATCCT-1", "d05.data2_CATAAGCTCGTAGGGA-1", "d05.data2_CACAGGCTCGTGGGTC-1", "d05.data2_GAATCGTTCAAGGCTT-1", "d05.data2_CCTACGTCAATACGCT-1", "d05.data2_AAATGGAAGGGTGAAA-1", "d05.data2_CCTATCGGTTTCACAG-1", "d05.data2_TTCATTGAGGTCACAG-1", "d05.data2_GTTGTGAAGACTTCCA-1", "d05.data2_GGTTGTATCGTGGAAG-1", "d05.data2_CTGGCAGGTACGATCT-1", "d05.data2_CGTCCATGTTCGATTG-1", "d05.data2_ATTATCCTCGTTAGAC-1", "d05.data2_CGGAGAAAGGTAGATT-1", "d05.data2_TCGCTTGAGACCCGCT-1", "d05.data2_AGCGTATTCGGATAAA-1", "d05.data2_TCGTAGACAGAAGCGT-1", "d05.data2_AGGAATAGTGAGACCA-1", "d05.data2_GTAGGAGTCACTGGGC-1", "d05.data2_CTCATGCAGGTTGGAC-1", "d05.data2_AACGGGAAGTCATACC-1", "d05.data2_CATAGACGTGATGTAA-1", "d05.data2_ACATCCCTCTCTTCAA-1", "d05.data2_TGCTTCGAGCTCGACC-1", "d05.data2_GAGACTTGTGGTCCGT-1", "d05.data2_AGGTAGGTCTTGCAGA-1", "d05.data2_CTTTCAATCAGGGATG-1", "d05.data2_TGATGGTCAGCGATTT-1", "d05.data2_AGTCAACAGACTTAAG-1", "d05.data2_TTCTTGAAGAGGCGTT-1", "d05.data2_GTCATGATCGAAGAAT-1", "d05.data2_CGAGTTAGTACTCGAT-1", "d05.data2_AGATGCTTCATTTGTC-1", "d05.data2_AAGTGAATCTAAGAAG-1", "d05.data2_GGCGTCAGTCGTACAT-1", "d05.data2_TCCACGTCAGTCGCTG-1", "d05.data2_TTGTTGTGTCGTGGTC-1", "d05.data2_CCGATCTCATGGGATG-1", "d05.data2_GGAGCAAGTTACGATC-1", "d05.data2_CTTGATTCATGAGTAA-1", "d05.data2_GATTGGTAGGTGATCG-1", "d05.data2_AGTAACCGTCGATGCC-1", "d05.data2_TACGGGCGTTGGTGTT-1", "d05.data2_TTGTGGAGTGCAAGAC-1", "d05.data2_CATCGCTAGCGACAGT-1", "d05.data2_CTATCTAGTAGACAGC-1", "d05.data2_GTGTGGCGTTCAAACC-1", "d05.data2_TCTTGCGTCCCGAGAC-1", "d05.data2_CTCGAGGGTAGGGAGG-1", "d05.data2_ACGGAAGTCGCCGATG-1", "d05.data2_GCTGAATAGAACAGGA-1", "d05.data2_CGTAATGCAGGCACAA-1", "d05.data2_TGTGAGTCACAGGATG-1", "d05.data2_TTCGGTCAGACTGTTC-1", "d05.data2_TCAGGGCTCCCTGTTG-1", "d05.data2_GTGGAGACAGCGCGTT-1", "d05.data2_GCTCAAAGTCTATGAC-1", "d05.data2_GTCGTAACATTGCTGA-1", "d05.data2_TATCTGTCACTAGGTT-1", "d05.data2_GGAGGATTCTACACAG-1", "d05.data2_GCTTTCGGTATAGGAT-1", "d05.data2_TGGCGTGAGGAGTCTG-1", "d05.data2_TCGGGTGTCCGAAATC-1", "d05.data2_GTTGCTCTCCCAGGCA-1", "d05.data2_TATGTTCAGTGATGGC-1", "d05.data2_GACCAATAGCGGCTCT-1", "d05.data2_GTGTGATGTGCGAACA-1", "d05.data2_GATCCCTAGAGTCGAC-1", "d05.data2_CTCATCGCAAGAGTGC-1", "d05.data2_CCTCACATCGTTGTAG-1", "d05.data2_TGTGTGAAGCGTTCCG-1", "d05.data2_AGCCACGGTCGCTGCA-1", "d05.data2_TAGACCAAGTATGGCG-1", "d05.data2_TGGAACTAGGCGTCCT-1", "d05.data2_GGTCACGGTAAGATTG-1", "d05.data2_CCTATCGCATCTCAAG-1", "d05.data2_CAAGCTAGTGCTCTTC-1", "d05.data2_TTGCTGCAGGCTAGCA-1", "d05.data2_TGGGTTATCCGAAATC-1", "d05.data2_ATGAGGGGTCGCGTTG-1", "d05.data2_AGTGACTAGCGGTATG-1", "d05.data2_GATGTTGAGGGTTAAT-1", "d05.data2_GACTGATCAGAGAAAG-1", "d05.data2_TGCGATAAGCTCGAAG-1", "d05.data2_TGACTCCCAGAGTTGG-1", "d05.data2_GGTTAACAGTTAGAAC-1", "d05.data2_ATGTCCCGTCCTGGTG-1", "d05.data2_AGGGTGAAGCGCCGTT-1", "d05.data2_TAGGTTGAGAGTCAGC-1", "d05.data2_TGAGGAGAGGGTGGGA-1", "d05.data2_TTCTGTATCAGGCGAA-1", "d05.data2_CATTCCGCACAGAGCA-1", "d05.data2_GAGTCATGTCTGTGGC-1", "d05.data2_ACTGTGATCCTACCAC-1", "d05.data2_TGTTTGTAGCAGTACG-1", "d05.data2_ATGGTTGTCAACACGT-1", "d05.data2_ATGGGTTTCATTTCCA-1", "d05.data2_AGGTTGTGTTACTCAG-1", "d05.data2_TAACTTCTCCGATGTA-1", "d05.data2_CAACCTCGTATCGTTG-1", "d05.data2_GTAAGTCAGTAGAATC-1", "d05.data2_AATGAAGTCCATTGCC-1", "d05.data2_AGTCATGCAGAGGAAA-1", "d05.data2_ATCAGGTAGCTGGTGA-1", "d05.data2_AGTTCCCAGCAACTCT-1", "d05.data2_TCCTAATTCAACGAGG-1", "d05.data2_TGCAGATCAGTCTTCC-1", "d05.data2_CCAATTTCACAACGAG-1", "d05.data2_ACACGCGGTGCCGAAA-1", "d05.data2_TTTCCTCAGGAAGAAC-1", "d05.data2_GCTACAAAGTGCACAG-1", "d05.data2_GAGGGTAGTCCACATA-1", "d05.data2_CTAACTTAGCTAAATG-1", "d05.data2_GAGTTTGCAGGTAGTG-1", "d05.data2_TCATACTAGTTGGACG-1", "d05.data2_TTCGATTAGAGTCAAT-1", "d05.data2_GCACTAAAGACCCGCT-1", "d05.data2_GGTGATTAGTAAGGGA-1", "d05.data2_AGAGAATTCGAGTCCG-1", "d05.data2_GGTTAACTCGTGTGAT-1", "d05.data2_CTGCGAGCACTGGCGT-1", "d05.data2_TCTCAGCCACTGGCCA-1", "d05.data2_ATCGTGAAGCGCACAA-1", "d05.data2_ATTCCCGCACAGTCGC-1", "d05.data2_GCCAGCAGTAGCGCTC-1", "d05.data2_TTTGGTTTCTGTAAGC-1", "d05.data2_TTGAGTGGTCACGTGC-1", "d05.data2_TCGCAGGTCTCAACCC-1", "d05.data2_CCTCACAGTTCGAGCC-1", "d05.data2_AGAGAGCTCGCCAGAC-1", "d05.data2_TCCAGAAAGGTCATAA-1", "d05.data2_ATTCTTGTCAAACTGC-1", "d05.data2_GTGAGGAAGAGTGTTA-1", "d05.data2_TGGAACTGTGAGCAGT-1", "d05.data2_TCGGGCACAAGAAATC-1", "d05.data2_TATTGGGCATACCATG-1", "d05.data2_TTTGTTGAGCCTGTCG-1", "d05.data2_CCAAGCGAGTACCATC-1", "d05.data2_GTCGTTCTCAAACCCA-1", "d05.data2_AACCCAAGTCGCAGTC-1", "d05.data2_GCTGGGTAGTAGCCAG-1", "d05.data2_TGGCGTGAGTGGCCTC-1", "d05.data2_TCTAACTGTACCTGTA-1", "d05.data2_CCCATTGTCGCAGAGA-1", "d05.data2_AGAAGTAAGTCATCGT-1", "d05.data2_GATCACATCGGCGATC-1", "d05.data2_TGTTTGTGTTCGGCCA-1", "d05.data2_GACCCAGTCTGGTTGA-1", "d05.data2_CGTAAGTTCACTGAAC-1", "d05.data2_CGTAATGGTCGGCTAC-1", "d05.data2_ACAGAAAAGGTAGGCT-1", "d05.data2_GCACGTGGTGACACGA-1", "d05.data2_ATCTCTAAGGGTTAAT-1", "d05.data2_ATATCCTAGGCCTTGC-1", "d05.data2_AGGAGGTAGTGTTCCA-1", "d05.data2_TCTGGCTCAACACGAG-1", "d05.data2_ACGTAACGTCTTGCTC-1", "d05.data2_AACAAAGAGTTCATCG-1", "d05.data2_ATCCCTGCAAAGCGTG-1", "d05.data2_TGAGGAGGTCCTACGG-1", "d05.data2_CCATAAGGTTGCATGT-1", "d05.data2_CTACCTGGTATCGGTT-1", "d05.data2_TTCCACGTCGACGAGA-1", "d05.data2_AGCGCTGAGCCACTCG-1", "d05.data2_GTGCACGAGACGTCCC-1", "d05.data2_CGAGGAATCACTTGGA-1", "d05.data2_CATCAAGAGTAATTGG-1", "d05.data2_ACGTCCTCAGCTTTCC-1", "d05.data2_GAAATGACAGCCTATA-1", "d05.data2_TTGCTGCGTGGGCTCT-1", "d05.data2_AACAAGACATAAGCAA-1", "d05.data2_ATGAGTCAGTGACACG-1", "d05.data2_TACCTGCGTTGAGGAC-1", "d05.data2_CTTACCGAGTAGCCAG-1", "d05.data2_TAGACCATCCGTGGGT-1", "d05.data2_TTTCGATTCGGAGTGA-1", "d05.data2_AGAGCCCGTATCTCTT-1", "d05.data2_TCGGGCATCGCAAGAG-1", "d05.data2_CCGAACGTCATTACGG-1", "d05.data2_GTGACGCAGTCATACC-1", "d05.data2_TTACTGTTCGCGCTGA-1", "d05.data2_TGTAACGAGGGATCAC-1", "d05.data2_CTTACCGGTCGACTTA-1", "d05.data2_GGAATGGCATGAAGCG-1", "d05.data2_CTTCGGTCAGTAGTGG-1", "d05.data2_AACAAGACAAGAATAC-1", "d05.data2_AGAAATGGTTGTGCAT-1", "d05.data2_TACATTCAGCGAGTAC-1", "d05.data2_TATCTGTGTCCAGCGT-1", "d05.data2_TCGGGTGCATAACCCA-1", "d05.data2_GTTCTATGTGGATACG-1", "d05.data2_TGGGATTTCGCCGAGT-1", "d05.data2_GCTTGGGCATACCATG-1", "d05.data2_TCGGTCTCAAATGATG-1", "d05.data2_TGAGGAGAGGCGAACT-1", "d05.data2_TATCTTGCAGAGTGAC-1", "d05.data2_AGCTACAGTAGGTACG-1", "d05.data2_GTTGCGGAGACATACA-1", "d05.data2_TGGGCGTGTTCTTGCC-1", "d05.data2_AGGTAGGGTAGCACGA-1", "d05.data2_TAAGCCACACACGCCA-1", "d05.data2_GACCAATCATAGGTTC-1", "d05.data2_TTTGGTTGTCGCATCG-1", "d05.data2_CTTGAGAGTCGAGATG-1", "d05.data2_AGTAGTCTCTGTCCGT-1", "d05.data2_ACCTGAACAGCGACCT-1", "d05.data2_GCATGATGTTCCGCGA-1", "d05.data2_CACGTGGAGAGGGTAA-1", "d05.data2_GTCGTTCCAACGTATC-1", "d05.data2_ACTTTGTCACCAAAGG-1", "d05.data2_CTATCCGAGGCATGCA-1", "d05.data2_GCCATGGGTGAATTGA-1", "d05.data2_CACTAAGTCTCTCTTC-1", "d05.data2_GGTTGTACAAAGCTCT-1", "d05.data2_AACCAACTCTCGGTAA-1", "d05.data2_AGGTTGTTCGCGCTGA-1", "d05.data2_GTTACCCGTAATGTGA-1", "d05.data2_CTCAATTCAACGACAG-1", "d05.data2_TCAGTTTTCGGACGTC-1", "d05.data2_CGGTCAGTCAGCTTCC-1", "d05.data2_ACGATCAAGATGCAGC-1", "d05.data2_ATGCGATGTCTCTCCA-1", "d05.data2_TGTGGCGAGGTAATCA-1", "d05.data2_TGCAGGCGTTCTGACA-1", "d05.data2_AGTTCGACAGGTTCAT-1", "d05.data2_GATGGAGTCTTCGTAT-1", "d05.data2_GGAATGGCATTGTCGA-1", "d05.data2_AGGGCCTCAACCAATC-1", "d05.data2_TATACCTGTTGGCCGT-1", "d05.data2_AAGTTCGGTGCACATT-1", "d05.data2_TTCGCTGGTAGTCGTT-1", "d05.data2_ATTCGTTGTGTCCACG-1", "d05.data2_ATCGTGAGTTATTCTC-1", "d05.data2_ACGCACGAGTCACAGG-1", "d05.data2_ACAGGGACATTGTCGA-1", "d05.data2_CGACAGCTCCGCTAGG-1", "d05.data2_AGGTAGGGTGACAGCA-1", "d05.data2_TGACGCGCAGCGTAGA-1", "d05.data2_ACATTTCGTTTGAACC-1", "d05.data2_ACGATCAAGTTCCGGC-1", "d05.data2_TTGTTCACACGCGGTT-1", "d05.data2_TAGACTGAGACCAACG-1", "d05.data2_CCTGCATAGGTCTGGA-1", "d05.data2_GTGGCGTGTGCGGCTT-1", "d05.data2_AATCACGCATTCCTCG-1", "d05.data2_TTGTTTGTCTGTTGGA-1", "d05.data2_ATGGTTGAGCATCAAA-1", "d05.data2_CAGGTATGTCTGTGCG-1", "d05.data2_TCCTTTCTCACATTGG-1", "d05.data2_TACGCTCCACTTACAG-1", "d05.data2_AAAGGTAAGACAACAT-1", "d05.data2_ACTGCAATCGATACAC-1", "d05.data2_GTTACGACATGCACTA-1", "d05.data2_CCTACGTAGCGGATCA-1", "d05.data2_GGCAGTCAGTCTTCCC-1", "d05.data2_ACTATTCGTGCGTTTA-1", "d05.data2_TGCGACGAGACCTTTG-1", "d05.data2_CCTCACAAGGAAACGA-1", "d05.data2_TACCTCGGTGGAGGTT-1", "d05.data2_TCAGTTTGTTGGGACA-1", "d05.data2_AATGAAGAGAGTGTTA-1", "d05.data2_AGTTAGCCAAAGACTA-1", "d05.data2_CTGATCCTCGAAGCAG-1", "d05.data2_TGATCTTGTACGTGAG-1", "d05.data2_GTCATCCCATCGAAGG-1", "d05.data2_GGTAACTCAGGACATG-1", "d05.data2_TTCTTGATCTTCGACC-1", "d05.data2_GTTGCGGAGCTCCACG-1", "d05.data2_GAGTCTAGTCGTTGCG-1", "d05.data2_TGCAGTAGTATATGGA-1", "d05.data2_ACTCTCGAGATTGTGA-1", "d05.data2_TCAGTTTAGCTGACCC-1", "d05.data2_ACCTGAAAGGCCTTCG-1", "d05.data2_CACATGATCACTGGTA-1", "d05.data2_TACCGAAAGAATAGTC-1", "d05.data2_GCTGAATCAGCTGGTC-1", "d05.data2_CATTGAGTCACTTCTA-1", "d05.data2_TCAGCAAAGCTGTGCC-1", "d05.data2_AGCTCAATCAGCCCAG-1", "d05.data2_CAACAGTGTCCTGGGT-1", "d05.data2_GAAGGGTGTCCCTCAT-1", "d05.data2_GCTGGGTGTCGTCATA-1", "d05.data2_TCTTCCTTCTGTGCGG-1", "d05.data2_CCACGTTGTTGGTGTT-1", "d05.data2_CCGTAGGCAGTGTGGA-1", "d05.data2_TGGTAGTTCCCTCGTA-1", "d05.data2_AGGAATAAGCTATCTG-1", "d05.data2_ATTCTTGGTGGTCTAT-1", "d05.data2_GATCCCTGTGAAGCTG-1", "d05.data2_TGCGGCATCTTCGTGC-1", "d05.data2_GAGTTGTTCGAGATGG-1", "d05.data2_CGAGGCTGTGAGCCAA-1", "d05.data2_GATGTTGGTAAGGCTG-1", "d05.data2_CTCAACCAGGTACAGC-1", "d05.data2_CGAGTTAAGCCTCTGG-1", "d05.data2_CATGCAAGTTCGGGTC-1", "d05.data2_TGGCGTGGTTATGACC-1", "d05.data2_CTAGGTAGTATCGTAC-1", "d05.data2_TTCATTGTCGGATAAA-1", "d05.data2_ACAGAAATCCGATAAC-1", "d05.data2_GTAGTACAGCATGATA-1", "d05.data2_TGGGTTACATCGCTAA-1", "d05.data2_CCTCTAGGTGGATTTC-1", "d05.data2_TATTGGGGTCTAGGTT-1", "d05.data2_CGGGACTTCCGTGTCT-1", "d05.data2_CTGTGAAAGTGATGGC-1", "d05.data2_ACTTATCGTCACGTGC-1", "d05.data2_TCTCAGCGTAGCTAAA-1", "d05.data2_CACCAAAAGTTTGTCG-1", "d05.data2_AGCTTCCGTCAATGGG-1", "d05.data2_CATTGTTGTCACAGAG-1", "d05.data2_AGTTAGCTCTATGTGG-1", "d05.data2_ACTCCCACATCCTTCG-1", "d05.data2_ACGGGTCAGGCATCTT-1", "d05.data2_ACCTGAAGTGGACCAA-1", "d05.data2_CGAGAAGGTAGCTTGT-1", "d05.data2_CATTGCCAGGCCTAGA-1", "d05.data2_AATGGAAAGTAGGCCA-1", "d05.data2_TTTACCAAGGTGCAGT-1", "d05.data2_AGATCCATCTCGGTCT-1", "d05.data2_AGCCAGCGTAGTCCTA-1", "d05.data2_TGTCAGACATCCGGCA-1", "d05.data2_GGGATCCCAATGTCAC-1", "d05.data2_GCATCTCGTCTGTGCG-1", "d05.data2_GATGTTGCATATGCGT-1", "d05.data2_GACCTTCAGACTACCT-1", "d05.data2_TCCATCGAGTGGACTG-1", "d05.data2_ATGAGGGTCGAACTCA-1", "d05.data2_TAAGCCAAGACTACGG-1", "d05.data2_TGTGCGGAGTAAATGC-1", "d05.data2_GTCGCGATCCATAGGT-1", "d05.data2_CTGGTCTGTACTCCGG-1", "d05.data2_AGTAACCGTTTGCAGT-1", "d05.data2_AACCTTTCATGCACTA-1", "d05.data2_GAGGGATTCTGCGATA-1", "d05.data2_GTCCACTTCCGTATGA-1", "d05.data2_GGTGTCGCATATACCG-1", "d05.data2_GTTCATTTCAATGTCG-1", "d05.data2_GACCGTGTCTTTGGAG-1", "d05.data2_AGGATAAGTCGATGCC-1", "d05.data2_ACATGCAGTGAGACCA-1", "d05.data2_CGGGTCAGTTGGATCT-1", "d05.data2_TTTCGATGTCAGTCGC-1", "d05.data2_CACTAAGGTTCGTAAC-1", "d05.data2_CGGACACGTTATGACC-1", "d05.data2_TGTAAGCCACAATTCG-1", "d05.data2_GTTAGTGTCTTGGTGA-1", "d05.data2_TTGGTTTTCGAATGCT-1", "d05.data2_CCACCATCATCTGCGG-1", "d05.data2_CAGTTCCCAAATGGAT-1", "d05.data2_GGCTTTCCATATCGGT-1", "d05.data2_TCTGGCTGTAAGCAAT-1", "d05.data2_CTCTCAGTCGGTCACG-1", "d05.data2_GGGACAAAGGTGGTTG-1", "d05.data2_GGAGATGCATCCGTTC-1", "d05.data2_TGCGATACATGTGGTT-1", "d05.data2_CCTCATGGTCCTACGG-1", "d05.data2_GTCATCCGTGTAACGG-1", "d05.data2_AGTGTTGAGAAACTAC-1", "d05.data2_TCAGTTTGTCTGTCCT-1", "d05.data2_CACGTTCGTGTCTTCC-1", "d05.data2_GCAACCGTCGGATTAC-1", "d05.data2_GACAGCCCACGTCATA-1", "d05.data2_TCCCAGTAGGTGCTAG-1", "d05.data2_TTACGTTAGATGGCGT-1", "d05.data2_AGAAATGGTTGTGCCG-1", "d05.data2_CACGTTCAGTCCCGGT-1", "d05.data2_AGGGTCCAGCGACAGT-1", "d05.data2_CATCCGTAGATCGACG-1", "d05.data2_ATGGGAGCAGCCCAGT-1", "d05.data2_TTCATTGGTGAGGATC-1", "d05.data2_TACCTGCCATCACAGT-1", "d05.data2_TGACCCTGTTTACTGG-1", "d05.data2_CGTTGGGGTTCTCAGA-1", "d05.data2_CGAGGAAGTAGTCCTA-1", "d05.data2_CCAATGACACACAGAG-1", "d05.data2_TCAAGTGCAAGGGCAT-1", "d05.data2_GCACATACAACCGCCA-1", "d05.data2_AGTGCCGGTGTCGATT-1", "d05.data2_TCCTTCTTCACCCATC-1", "d05.data2_ATACCTTAGCTGCCTG-1", "d05.data2_TATTTCGTCCACGGGT-1", "d05.data2_ACATTTCCACATACTG-1", "d05.data2_TCGACGGCAGAGAATT-1", "d05.data2_GGGTTTAAGCGTGCCT-1", "d05.data2_TTGTTTGAGAAAGCGA-1", "d05.data2_AGCGCTGCAAGACCGA-1", "d05.data2_TCATTACAGAGTGAAG-1", "d05.data2_CTGAATGTCTCCATAT-1", "d05.data2_TGTTTGTCATTGTCGA-1", "d05.data2_GGGTCTGCAGAGGTTG-1", "d05.data2_GTAAGTCCAAGTTTGC-1", "d05.data2_TTAGGGTAGGCCCAAA-1", "d05.data2_GAGTTACAGTGCAACG-1", "d05.data2_CATAGACCAGAGTAAT-1", "d05.data2_GTTAGACAGATAGTCA-1", "d05.data2_CTGCAGGCAATTGTGC-1", "d05.data2_CACAGATGTTGCACGC-1", "d05.data2_GCTGAATAGTGGAATT-1", "d05.data2_TTTCACACAATCTGCA-1", "d05.data2_TCGCTTGGTAACATAG-1", "d05.data2_GAGTTACTCGGCTATA-1", "d05.data2_CTTGATTCAGAGTCAG-1", "d05.data2_ATGCATGCATATGCGT-1", "d05.data2_GATAGCTAGCTCTTCC-1", "d05.data2_ACATCCCTCAGCTAGT-1", "d05.data2_GCATTAGAGCCGAATG-1", "d05.data2_CACTGTCGTACTGGGA-1", "d05.data2_CTCCAACGTCTTGCTC-1", "d05.data2_CCCTGATTCACCGCTT-1", "d05.data2_TTTGATCGTGCCAAGA-1", "d05.data2_ATTCCATGTGAGCGAT-1", "d05.data2_GTTTACTGTTGTCTAG-1", "d05.data2_CCATCACGTATAATGG-1", "d05.data2_GAGTCTAGTAAGATCA-1", "d05.data2_TCGTCCAAGGCTGGAT-1", "d05.data2_CTGGCAGGTCGCACAC-1", "d05.data2_TTGTTGTCAGTCGTTA-1", "d05.data2_GACGCTGTCTGCCTGT-1", "d05.data2_GAGGGATCAGTCAACT-1", "d05.data2_GCACGTGCAGCCGTTG-1", "d05.data2_CCACTTGTCCAACTAG-1", "d05.data2_GTTCGCTGTTCGAGCC-1", "d05.data2_AACGTCAGTCTAACTG-1", "d05.data2_CTGGTCTGTTGCCTAA-1", "d05.data2_CATTCCGCAATCGAAA-1", "d05.data2_GATTTCTGTCCGGTCA-1", "d05.data2_GCATTAGGTCACAATC-1", "d05.data2_GTCATGAAGAGAATCT-1", "d05.data2_CGAGTTATCTGCGGGT-1", "d05.data2_AGCGTATCAGGTATGG-1", "d05.data2_TAACACGCATCGCTAA-1", "d05.data2_TTGTTCAGTATACCCA-1", "d05.data2_TTTCAGTGTGCATCTA-1", "d05.data2_AGACTCAAGCCATCCG-1", "d05.data2_TTCTCTCTCTTCCCGA-1", "d05.data2_CTCTGGTTCGTAGTCA-1", "d05.data2_ATACCGACAGGGATAC-1", "d05.data2_GCATGATAGATGTAGT-1", "d05.data2_TGCAGATCAATCTAGC-1", "d05.data2_GTTAGTGCACTCAGAT-1", "d05.data2_GGTAGAGAGCCATTTG-1", "d05.data2_TTCTAACTCCGTGACG-1", "d05.data2_CTGCATCCACGTCATA-1", "d05.data2_TGATCAGCACCCAACG-1", "d05.data2_ATCTCTATCCATATGG-1", "d05.data2_AAATGGAGTAATCAGA-1", "d05.data2_TTGCTGCAGATCCGAG-1", "d05.data2_CCTCCAAGTGGCGTAA-1", "d05.data2_GGAATGGTCGGCTGGT-1", "d05.data2_GTCGCGAGTAGCACAG-1", "d05.data2_TACCGAATCATGCAGT-1", "d05.data2_TCCTTTCGTCCATCTC-1", "d05.data2_ATATCCTAGGCTTCCG-1", "d05.data2_GCAACATGTGCTCGTG-1", "d05.data2_CATGCTCTCTCCGAGG-1", "d05.data2_CTCATTAAGACCGTTT-1", "d05.data2_TTGTGGAAGGTAGATT-1", "d05.data2_CTTGATTTCGATACAC-1", "d05.data2_TCGCTTGAGTGCTCGC-1", "d05.data2_CTGTGGGAGCTGTTAC-1", "d05.data2_AGGGTCCCAGAGGAAA-1", "d05.data2_TCCTAATCACGCGTCA-1", "d05.data2_GATGTTGCAACAGATA-1", "d05.data2_CTTACCGCATGATCTG-1", "d05.data2_TACCTCGGTTGGGATG-1", "d05.data2_GTTGCTCTCGACCAAT-1", "d05.data2_TGTTACTTCATCCTGC-1", "d05.data2_CTTTCAATCGGACTGC-1", "d05.data2_TATTCCAAGATGAATC-1", "d05.data2_CCTAACCTCTCCAATT-1", "d05.data2_TGCATGAGTTGGCCTG-1", "d05.data2_AACCAACAGACCTGGA-1", "d05.data2_ATGGGTTGTACTCCGG-1", "d05.data2_CGCCATTCATGAAAGT-1", "d05.data2_TGTCCACAGTAGTGCG-1", "d05.data2_CATTGTTGTTCAGCGC-1", "d05.data2_CAGGGCTAGCGATGAC-1", "d05.data2_TCTAACTGTATATGGA-1", "d05.data2_CCCGGAACAGACCGCT-1", "d05.data2_TTCTCTCAGGTGAGCT-1", "d05.data2_TGCGGCAGTGTCATGT-1", "d05.data2_AATTCCTTCTATCCAT-1", "d05.data2_TGCATGAAGTGTTCAC-1", "d05.data2_TATATCCTCTCATGCC-1", "d05.data2_GTCAAACGTGTAAACA-1", "d05.data2_GATTCTTAGGCTCAAG-1", "d05.data2_CGCGTGATCAGTGTTG-1", "d05.data2_TACAACGCAGAGTCTT-1", "d05.data2_GACCGTGAGAAGCCTG-1", "d05.data2_CCGGACAAGTGCGCTC-1", "d05.data2_CGGGCATGTGATTAGA-1", "d05.data2_GTCATGATCGCCAGTG-1", "d05.data2_ACTGATGGTTGGAGGT-1", "d05.data2_TATTGGGGTTGCTCGG-1", "d05.data2_GCGTGCAAGTCAGCGA-1", "d05.data2_CACCAAACAGCAAGAC-1", "d05.data2_TTCACGCAGATTCGCT-1", "d05.data2_CGGGACTCACACTTAG-1", "d05.data2_GGGACCTGTCGAACGA-1", "d05.data2_CTTACCGCAGCCGGTT-1", "d05.data2_CCTATCGTCAGGGATG-1", "d05.data2_GCGAGAACAGTCGTTA-1", "d05.data2_GTGATGTGTTGGACCC-1", "d05.data2_TCCAGAACAGACTCTA-1", "d05.data2_CTTGAGAGTTCTTAGG-1", "d05.data2_TGTGGCGGTGCAGTGA-1", "d05.data2_TAATTCCCATCGAGCC-1", "d05.data2_AGTGATCGTATGAAAC-1", "d05.data2_GAGTGTTGTGTCCCTT-1", "d05.data2_TCGGATAGTCGTTGGC-1", "d05.data2_TCCACGTTCGGCATCG-1", "d05.data2_TGAATGCCAAAGGCTG-1", "d05.data2_ATCAGGTAGCGTGAAC-1", "d05.data2_CGAAGGAAGTTGAAAC-1", "d05.data2_CCACACTTCACAGTGT-1", "d05.data2_TACACCCTCATACAGC-1", "d05.data2_AGGGTCCCATGACGTT-1", "d05.data2_GGGTAGAAGGTTATAG-1", "d05.data2_GAACACTAGCACCGTC-1", "d05.data2_AGTAACCTCATTCGGA-1", "d05.data2_GATTGGTAGCAGTACG-1", "d05.data2_ATTACTCAGTTCTACG-1", "d05.data2_TCCCATGGTATTTCTC-1", "d05.data2_GCATCTCGTATTCCTT-1", "d05.data2_CCACGTTCAAGCGCTC-1", "d05.data2_TTCTCTCCATAATGCC-1", "d05.data2_TATCTGTCACAGTCAT-1", "d05.data2_CATGAGTAGACGCCAA-1", "d05.data2_GGTAGAGCACTCCTTG-1", "d05.data2_CTGTCGTTCTAGAGCT-1", "d05.data2_CTCAAGAGTAGATCCT-1", "d05.data2_GTATTGGTCATGAGGG-1", "d05.data2_ATTACTCGTACAATAG-1", "d05.data2_ACACTGAGTTGTACGT-1", "d05.data2_ATCGGATTCTGTTCAT-1", "d05.data2_TGTTACTAGCACTCCG-1", "d05.data2_TGTGGCGGTCAGATTC-1", "d05.data2_ATTACCTAGGTATCTC-1", "d05.data2_GGTCTGGTCAGGAGAC-1", "d05.data2_CCGTTCATCACTCGAA-1", "d05.data2_GACTCAATCTTGGGCG-1", "d05.data2_TGATTCTAGGCGACAT-1", "d05.data2_AACACACGTATACCCA-1", "d05.data2_CACGTGGGTTACGCCG-1", "d05.data2_CAATGACCACAAGCTT-1", "d05.data2_CCACAAAAGCATGGGT-1", "d05.data2_CTCCTTTTCAAAGCCT-1", "d05.data2_AAGTTCGGTGAGTCAG-1", "d05.data2_CTAACTTCAGTCAGCC-1", "d05.data2_TCCAGAACATTAGGAA-1", "d05.data2_TGTAACGAGCACTCGC-1", "d05.data2_ATCCACCCATAGGTTC-1", "d05.data2_CAATACGGTCATCGCG-1", "d05.data2_GACTGATAGGACAGCT-1", "d05.data2_CCAATGAAGCCGAATG-1", "d05.data2_GCGAGAAGTAGTGCGA-1", "d05.data2_GTTACGAGTTCCACAA-1", "d05.data2_CGAGTTACAGGTCCGT-1", "d05.data2_CAGAGCCGTAGCACAG-1", "d05.data2_CCTCTAGGTAGGGAGG-1", "d05.data2_CTGGACGGTCAGTCCG-1", "d05.data2_CTCCCTCTCCTTATGT-1", "d05.data2_ATGAGGGTCAGTGGGA-1", "d05.data2_GTCGAATTCCAATCCC-1", "d05.data2_ACGTTCCGTGAGCTCC-1", "d05.data2_AGTACCAAGATCCCAT-1", "d05.data2_TTACTGTCACCTGATA-1", "d05.data2_GATTTCTGTGTGATGG-1", "d05.data2_TCCACCACATCGGTTA-1", "d05.data2_CCACAAATCACTCTTA-1", "d05.data2_GTCTTTAGTTCTATCT-1", "d05.data2_ACTTCGCGTACGCTAT-1", "d05.data2_GTGGAGACACGTAGTT-1", "d05.data2_GCCAGCAAGTGCACTT-1", "d05.data2_ACCTGTCCAGGGATAC-1", "d05.data2_GTTAGACAGTAGGATT-1", "d05.data2_ACGGAAGGTAGGTGCA-1", "d05.data2_AACAGGGAGGACTATA-1", "d05.data2_TAGACTGCACCTTCGT-1", "d05.data2_AGGGCTCAGTCTGCGC-1", "d05.data2_TACTTGTTCCGATCTC-1", "d05.data2_TTTGACTGTATGGAAT-1", "d05.data2_ATAGGCTCAAGTCCCG-1", "d05.data2_TCTTGCGAGGCGAAGG-1", "d05.data2_TCCATGCAGTGCGACA-1", "d05.data2_ACCATTTCAGTTCCAA-1", "d05.data2_GGGTCTGGTCAGTTTG-1", "d05.data2_CTGTGGGTCTGCAGCG-1", "d05.data2_ACGATGTCAGCTCTGG-1", "d05.data2_TGTCCCACATGTACGT-1", "d05.data2_GCTGGGTAGACACACG-1", "d05.data2_ACTATCTGTGCTCCGA-1", "d05.data2_ATTCTTGCAAGTTGGG-1", "d05.data2_TTGCTGCTCGCAGAGA-1", "d05.data2_AGTCATGTCTTCGCTG-1", "d05.data2_CATTGCCTCGCCAATA-1", "d05.data2_CTCACTGGTTCGGCTG-1", "d05.data2_CCTGCATCATCCCGTT-1", "d05.data2_ATTCCCGAGTGACCTT-1", "d05.data2_AGATCCAGTTGCATTG-1", "d05.data2_TCATTCAGTGGAGGTT-1", "d05.data2_ATTACTCCATCCCGTT-1", "d05.data2_TACTTGTTCGTGCGAC-1", "d05.data2_GATCGTACATTGCTTT-1", "d05.data2_ACTGTCCGTTAACCTG-1", "d05.data2_GGCTGTGCAGCGTAGA-1", "d05.data2_TGGGAAGGTCGCGTCA-1", "d05.data2_AACCATGGTTACCTTT-1", "d05.data2_GCGGATCCAGGAGGTT-1", "d05.data2_AATAGAGTCATCCTAT-1", "d05.data2_ACAAGCTAGGAGGTTC-1", "d05.data2_TTGACCCTCATGGGAG-1", "d05.data2_CCATAAGAGGCATCGA-1", "d05.data2_GGCACGTAGTCAAGCG-1", "d05.data2_GCTACAACAGTCAGCC-1", "d05.data2_ACCCTTGGTGATAGAT-1", "d05.data2_GAAATGATCTCCACTG-1", "d05.data2_TGTTGGAAGAGTCACG-1", "d05.data2_GATAGCTTCTACGGGC-1", "d05.data2_CCTCACACAATAGTAG-1", "d05.data2_AAACGCTCAACGAGGT-1", "d05.data2_GGTTGTATCAACCTTT-1", "d05.data2_CAATGACCACGACGTC-1", "d05.data2_TGCTTGCGTCATATGC-1", "d05.data2_GTGTGGCTCGTTAGTG-1", "d05.data2_ATGGTTGAGTAGTCCT-1", "d05.data2_GATTGGTAGGTCTGGA-1", "d05.data2_AGGGCCTGTCCGGATC-1", "d05.data2_CTGTGGGAGCTCGTGC-1", "d05.data2_AGCGCCAAGGAGTCTG-1", "d05.data2_CAACGGCTCTTGTGCC-1", "d05.data2_TATGTTCGTGGCACTC-1", "d05.data2_GAGAGGTCACAAATGA-1", "d05.data2_TCGACCTTCCGTAATG-1", "d05.data2_AGACAGGCACTCATAG-1", "d05.data2_TAACTTCCAACGCCCA-1", "d05.data2_TGGGCTGAGGGCGAAG-1", "d05.data2_ATGGAGGCACGTGAGA-1", "d05.data2_AAACGAAGTGACACGA-1", "d05.data2_ATGGTTGCAACGGTAG-1", "d05.data2_TCCGATCCACAGTCCG-1", "d05.data2_TAGGAGGCACTTCATT-1", "d05.data2_TGCGACGAGTCTTCGA-1", "d05.data2_GTAAGTCAGCGACTGA-1", "d05.data2_AGATCGTAGCACCGAA-1", "d05.data2_TTGCGTCCAGCATGCC-1", "d05.data2_TTGCGTCTCCGTTGAA-1", "d05.data2_TCATTTGCAGTCGCTG-1", "d05.data2_CGCGTGAGTTCGAAGG-1", "d05.data2_CTAAGTGTCCAACTGA-1", "d05.data2_TTGTTGTAGTTAGTGA-1", "d05.data2_GAGGGATTCGTTCCCA-1", "d05.data2_TGTTCTAAGCACCGTC-1", "d05.data2_TGGGCTGGTTGCTCAA-1", "d05.data2_TGCATCCGTTGACGGA-1", "d05.data2_GAGACCCTCCACTAGA-1", "d05.data2_ATCCCTGAGGCACCAA-1", "d05.data2_CTGTCGTCATGGGAAC-1", "d05.data2_GGGTATTAGCACCCAC-1", "d05.data2_TCATTCAGTCAACCTA-1", "d05.data2_AGGTCTACATACAGGG-1", "d05.data2_ATGGGTTCAAGATCCT-1", "d05.data2_CCTCAGTCAACAGCTT-1", "d05.data2_TGGGTTAGTAACTTCG-1", "d05.data2_ACCGTTCCATGGGATG-1", "d05.data2_TTCCAATGTCTAACGT-1", "d05.data2_TGGTTAGCAGGCTATT-1", "d05.data2_CACGTGGAGTACTGTC-1", "d05.data2_TCGCTCAGTATGTGTC-1", "d05.data2_CTCATTAGTAGTGGCA-1", "d05.data2_TTTCGATAGGCAGCTA-1", "d05.data2_ATGAAAGTCCCAAGTA-1", "d05.data2_AATCGACTCCACGTCT-1", "d05.data2_ACATCCCGTGGATCGA-1", "d05.data2_GTTCTATTCGCTGCGA-1", "d05.data2_TCGTCCAAGTGAGGCT-1", "d05.data2_TACGGTATCCGGCAGT-1", "d05.data2_CAGATCAGTATGTCTG-1", "d05.data2_CGTGAATGTCGTTATG-1", "d05.data2_GAATCACGTGATACCT-1", "d05.data2_GGTGATTAGCCATATC-1", "d05.data2_AGGCCACAGCCATGCC-1", "d05.data2_ATTGTTCCAGACACAG-1", "d05.data2_CAGTTCCTCTCTTCAA-1", "d05.data2_TCAGGGCGTAAGACCG-1", "d05.data2_GTTGAACCACCAGACC-1", "d05.data2_GTTCTATAGTAATACG-1", "d05.data2_CCACACTGTCGTTATG-1", "d05.data2_GAGTGAGTCAGAGTGG-1", "d05.data2_GGCTTTCCACCAGTTA-1", "d05.data2_AAGTCGTCAGGTTCAT-1", "d05.data2_AAAGGATAGCCTGTCG-1", "d05.data2_TTCCGGTAGGACGCTA-1", "d05.data2_AGGACGATCATTCGGA-1", "d05.data2_AGGATAACATGGAGAC-1", "d05.data2_CAGTGCGCATCTATCT-1", "d05.data2_TGGGATTTCGGCCCAA-1", "d05.data2_TATACCTCACAAACGG-1", "d05.data2_CAACGATCACATGGTT-1", "d05.data2_GGAGCAAAGCCATTCA-1", "d05.data2_CCTCTCCTCGGCGATC-1", "d05.data2_TTTAGTCTCGGCCAAC-1", "d05.data2_TTAGGCAGTTCTAAGC-1", "d05.data2_ATTTCTGGTTATGACC-1", "d05.data2_ACCTGTCGTCGTTGGC-1", "d05.data2_CCTGTTGGTTCGTAAC-1", "d05.data2_GAGCCTGTCTACCAGA-1", "d05.data2_AACGTCAAGTCGGCCT-1", "d05.data2_AGGATAATCCATCACC-1", "d05.data2_CAGCAATTCATGCCCT-1", "d05.data2_GTAGATCAGCGGACAT-1", "d05.data2_ATCCGTCTCGAAGCAG-1", "d05.data2_TTTGGTTTCCCATACC-1", "d05.data2_ACGTTCCGTACATTGC-1", "d05.data2_GTAAGTCCACCCTCTA-1", "d05.data2_GATGACTTCCATACAG-1", "d05.data2_CCACACTTCTCCGTGT-1", "d05.data2_ATTTACCTCGCCTATC-1", "d05.data2_TGGGATTAGGCTTAGG-1", "d05.data2_TTCTAACAGATCGCTT-1", "d05.data2_GTGTTAGTCACGATCA-1", "d05.data2_CCAAGCGGTAACAGGC-1", "d05.data2_GCCAGCAGTGTGTCCG-1", "d05.data2_CTACCCATCGGCTGTG-1", "d05.data2_ACTATCTTCATGAGTC-1", "d05.data2_ACTTTCATCAATCAGC-1", "d05.data2_CAACGGCCAATGGCCC-1", "d05.data2_CAAAGAAGTCTAGGTT-1", "d05.data2_CTTCCGAAGGTTCAGG-1", "d05.data2_CCATCACCAACATACC-1", "d05.data2_TAACGACAGGACTGGT-1", "d05.data2_GCGTGCATCGCGGACT-1", "d05.data2_CTCATTAAGAGGCGTT-1", "d05.data2_ATGAGGGGTTAGGGTG-1", "d05.data2_TTGATGGCAGGCGAAT-1", "d05.data2_GATTCGATCTTACCGC-1", "d05.data2_CCCTAACTCTTCCGTG-1", "d05.data2_TCGGTCTTCCGATCGG-1", "d05.data2_CTCCGATTCGGAAGGT-1", "d05.data2_CAACGGCAGCACCAGA-1", "d05.data2_TTCTGTAAGAAATGGG-1", "d05.data2_TTTGGTTCAGTCTCTC-1", "d05.data2_CAAGGGATCGCCAACG-1", "d05.data2_AGAGCAGCAAACTAGA-1", "d05.data2_CGTTGGGTCTATCGGA-1", "d05.data2_ACTGCAACAGGTCTCG-1", "d05.data2_CGAGGAACAGAGGGTT-1", "d05.data2_CATGAGTGTCTCTCAC-1", "d05.data2_CAGTGCGCAGCGATTT-1", "d05.data2_CTCCGATTCTGTAAGC-1", "d05.data2_TGAACGTGTAATGCTC-1", "d05.data2_AAACGCTGTTAGAGAT-1", "d05.data2_AGTACCACAGTGTGGA-1", "d05.data2_GTCACGGCATCTTTCA-1", "d05.data2_CTGTATTTCCGTTTCG-1", "d05.data2_CTACCCAGTTTCGTTT-1", "d05.data2_AAAGGGCCACAGTGAG-1", "d05.data2_CAGATACGTGTGCTTA-1", "d05.data2_GAGATGGGTCCAAATC-1", "d05.data2_GCGAGAAGTACCCGCA-1", "d05.data2_GATTTCTTCCCAGTGG-1", "d05.data2_CACATGAAGATCGGTG-1", "d05.data2_AGGGAGTCAACTTCTT-1", "d05.data2_GTAGGTTAGCGACTGA-1", "d05.data2_AGTAACCTCCTCACGT-1", "d05.data2_GACAGCCGTAACATGA-1", "d05.data2_CAAAGAATCAGCGTCG-1", "d05.data2_GGGTGTCAGGATTTGA-1", "d05.data2_TTCGATTGTACCCACG-1", "d05.data2_ATTCCTAAGGCACGAT-1", "d05.data2_TCGGATAGTCGCCACA-1", "d05.data2_GTCACGGAGTGACACG-1", "d05.data2_TCACGGGTCGTTATCT-1", "d05.data2_TGGAGGATCACCTGTC-1", "d05.data2_CCTTGTGAGTGATAAC-1", "d05.data2_CGGGCATTCGGCTGGT-1", "d05.data2_GCCAGTGAGCGGGTAT-1", "d05.data2_TCATACTAGTGGTCAG-1", "d05.data2_ACCCTTGGTGGATTTC-1", "d05.data2_GTGACGCGTTGGTGTT-1", "d05.data2_TACAACGAGTATTGCC-1", "d05.data2_CCATCACTCGCCTAGG-1", "d05.data2_TCACTATAGAGCCCAA-1", "d05.data2_GCGGATCCATAGATCC-1", "d05.data2_TGTGAGTAGGCACAAC-1", "d05.data2_TTGCATTTCTCTCTAA-1", "d05.data2_CTTAGGATCCATTTGT-1", "d05.data2_TAAGCCATCATGTCTT-1", "d05.data2_GAATCGTCAGTTGGTT-1", "d05.data2_GACACGCTCATCCCGT-1", "d05.data2_ACCCTCAAGGAACGTC-1", "d05.data2_ACCTACCGTAATCAAG-1", "d05.data2_TCGGGCATCGATCCAA-1", "d05.data2_TCACACCTCAACCTTT-1", "d05.data2_GAACACTTCTGACCCT-1", "d05.data2_TGAGCGCTCCGAACGC-1", "d05.data2_GAACTGTCACTTCAAG-1", "d05.data2_CTAACTTGTGCATTAC-1", "d05.data2_TGTTCATCATGTTACG-1", "d05.data2_TCATTACAGGCGAAGG-1", "d05.data2_CTGCCTATCGTCCATC-1", "d05.data2_CATAAGCTCTCCCATG-1", "d05.data2_ATTTCACTCCGATAGT-1", "d05.data2_CCACGTTGTGAGGAAA-1", "d05.data2_AGCTTCCAGTATGACA-1", "d05.data2_GGGACTCTCAGTAGGG-1", "d05.data2_TTACCGCGTAGCGCCT-1", "d05.data2_ATCACTTCACTGGACC-1", "d05.data2_CTCAAGAAGGTTTACC-1", "d05.data2_TACGTCCTCAACGTGT-1", "d05.data2_TGGAACTGTGCGTTTA-1", "d05.data2_CCTGTTGAGTGATAAC-1", "d05.data2_ACCATTTGTACCCGAC-1", "d05.data2_TTTCACAGTGGCTGAA-1", "d05.data2_CACATGAGTCATCAGT-1", "d05.data2_TGCTTCGGTCCACAGC-1", "d05.data2_CTGCCTACAACAAGTA-1", "d05.data2_TTTCATGAGGGCTTCC-1", "d05.data2_CTAACTTGTACGCTTA-1", "d05.data2_ATGCATGAGCATGCAG-1", "d05.data2_CGCATAATCCAGTTCC-1", "d05.data2_GTGTGATCATTGGGAG-1", "d05.data2_GAGCCTGAGTGAACAT-1", "d05.data2_AACGTCAGTTCAAGTC-1", "d05.data2_AGCGCTGCAGAGTGAC-1", "d05.data2_AAACGAATCACCTCGT-1", "d05.data2_TAGCACAAGACTACGG-1", "d05.data2_CTCCCTCCAATTGGTC-1", "d05.data2_CATGCCTTCCCATTCG-1", "d05.data2_CTGTATTCAGTCGCTG-1", "d05.data2_CATGGATAGGTAGCCA-1", "d05.data2_AGTAACCTCCACTTTA-1", "d05.data2_AACCTTTTCGTGGGAA-1", "d05.data2_GTTGCTCAGGCATCGA-1", "d05.data2_AAGACAATCAACGTGT-1", "d05.data2_TACCTCGAGTTGTCGT-1", "d05.data2_GTGTAACAGAATCGAT-1", "d05.data2_CCGTTCACATGACAAA-1", "d05.data2_TGTCCTGCATCGATAC-1", "d05.data2_ATGCATGTCCCTCAAC-1", "d05.data2_GCCAGTGTCTGCGGGT-1", "d05.data2_TATTGCTCACCTGCAG-1", "d05.data2_TGCAGTATCGAGTCCG-1", "d05.data2_TTGTTCATCTGCATAG-1", "d05.data2_TGCACGGAGCTCACTA-1", "d05.data2_ATGGTTGTCATCTGTT-1", "d05.data2_CATTTCAGTGCCTACG-1", "d05.data2_AGACAAACACTTGTGA-1", "d05.data2_ACAAAGAGTGATAGTA-1", "d05.data2_CACAACAAGCCTCAAT-1", "d05.data2_GCCGATGCAACTCCAA-1", "d05.data2_AATCGACAGGTCCCTG-1", "d05.data2_TACGTCCGTCAGTCTA-1", "d05.data2_AGGAATAGTCACTTCC-1", "d05.data2_GTTGCGGGTCCTGTTC-1", "d05.data2_CGATGCGCATTCTTCA-1", "d05.data2_TGTAAGCAGAATTGTG-1", "d05.data2_TTCTGTATCGGCATTA-1", "d05.data2_TCACATTTCTTTGCAT-1", "d05.data2_AGACCCGCAAGGATGC-1", "d05.data2_AGTCACAGTGTCTTGA-1", "d05.data2_TGGGCTGAGCTAGAGC-1", "d05.data2_TCAGTGATCCCGAGAC-1", "d05.data2_GTTGTGAAGCGTTACT-1", "d05.data2_GGCTTTCAGCCACCGT-1", "d05.data2_GTGTGATTCGAACGCC-1", "d05.data2_GAAGAATTCGCTACGG-1", "d05.data2_CGTTGGGGTCCACAGC-1", "d05.data2_TTTACCATCCATTGCC-1", "d05.data2_ACACCAAGTGCAACAG-1", "d05.data2_TAGGGTTAGCATGATA-1", "d05.data2_AAGAACAAGTAGTCTC-1", "d05.data2_CATTGTTTCCAATGCA-1", "d05.data2_GACACGCTCAGGTAAA-1", "d05.data2_CACTGTCAGCCTCAGC-1", "d05.data2_GGGTTATTCATCTATC-1", "d05.data2_CTTGATTAGATGACAT-1", "d05.data2_ACCTGTCAGAATCTAG-1", "d05.data2_TCCCAGTCAACAAAGT-1", "d05.data2_TGATCTTGTAACGTTC-1", "d05.data2_TCATGCCAGAATCTAG-1", "d05.data2_CTGAATGCAGTATGAA-1", "d05.data2_GAGCTGCAGTAATTGG-1", "d05.data2_GCACGTGTCGCTATTT-1", "d05.data2_CAGCGTGCATAGAATG-1", "d05.data2_GAGTCTAGTTCAAACC-1", "d05.data2_GTTCCGTAGGCATCTT-1", "d05.data2_TGCAGGCAGATAGCTA-1", "d05.data2_TGAGCATAGAATCGAT-1", "d05.data2_GCCAGTGGTCTCTCAC-1", "d05.data2_TGATGCAAGTACTGTC-1", "d05.data2_CTGTATTAGGGAGGTG-1", "d05.data2_ATTCCATTCCATTTGT-1", "d05.data2_CTCAGAAGTCAACCAT-1", "d05.data2_TCAAGTGGTCACTAGT-1", "d05.data2_GATGTTGAGTAGTCCT-1", "d05.data2_CATGCCTGTAGTATAG-1", "d05.data2_ACCGTTCTCTACGGGC-1", "d05.data2_ATTCCTACACCAGTTA-1", "d05.data2_AGTGCCGGTTAGAAGT-1", "d05.data2_CATGCTCCATGTGACT-1", "d05.data2_CTGGACGTCCCTTGTG-1", "d05.data2_GTTACAGAGACATCAA-1", "d05.data2_AGCGATTAGTTCCGTA-1", "d05.data2_GTGGCGTTCCGCGGAT-1", "d05.data2_CGGGCATAGACATCCT-1", "d05.data2_AGGGCCTGTTGGCCGT-1", "d05.data2_TGGGAAGTCCCAGGAC-1", "d05.data2_ACCGTTCTCTGTGCTC-1", "d05.data2_TTCTCTCCACCTCAGG-1", "d05.data2_TACACCCTCGAGCCAC-1", "d05.data2_TCTTTGAGTCGGTGAA-1", "d05.data2_CGTGCTTTCCACGGAC-1", "d05.data2_AGAAGTACATATACCG-1", "d05.data2_GAGCTGCGTCGCTTAA-1", "d05.data2_GTGGCGTTCAGACCTA-1", "d05.data2_CGAGAAGCACACGTGC-1", "d05.data2_CTCTCAGTCTCAAAGC-1", "d05.data2_TGCCGAGAGACAGTCG-1", "d05.data2_ACCCTCAAGGTTAAAC-1", "d05.data2_CCCTAACCAACTTCTT-1", "d05.data2_GACACGCGTCAAGTTC-1", "d05.data2_TTCAATCCAGAACTTC-1", "d05.data2_ACTTCGCCACCAGGTC-1", "d05.data2_ACCGTTCAGTGCCAGA-1", "d05.data2_GTCAAACGTCCAGTTA-1", "d05.data2_TTGCCTGCATGGCCCA-1", "d05.data2_ACTTATCGTTTGTTGG-1", "d05.data2_AGGATAAAGTTACGTC-1", "d05.data2_TCACTCGCAAATGGAT-1", "d05.data2_TCCTCTTCAAATCGTC-1", "d05.data2_CACTGAAGTTCAGCGC-1", "d05.data2_ACAAAGAAGGAGAGGC-1", "d05.data2_GTCAGCGGTTTCCCAC-1", "d05.data2_CATCCGTAGTAAGACT-1", "d05.data2_ACATCCCAGAGAAGGT-1", "d05.data2_GTTCATTGTCCACACG-1", "d05.data2_CCACCATCATGTTTGG-1", "d05.data2_TCCTAATCAAATACAG-1", "d05.data2_ATACTTCGTGTCGCTG-1", "d05.data2_GGGTTATCAAGAGTTA-1", "d05.data2_AATGGAACAAACACCT-1", "d05.data2_TCTCCGACAGTTGGTT-1", "d05.data2_GCACTAACAAGTTCGT-1", "d05.data2_CCTCTAGAGTATGGCG-1", "d05.data2_GGGTATTAGTGATTCC-1", "d05.data2_AGAGAATGTCCAGCCA-1", "d05.data2_TAACCAGAGTCCCGGT-1", "d05.data2_GAACTGTAGCGGCTCT-1", "d05.data2_TCTCAGCCAGTTTCAG-1", "d05.data2_TCTTAGTCATCGATCA-1", "d05.data2_CCACTTGGTCGCTTGG-1", "d05.data2_CGGAATTCAAGGCTTT-1", "d05.data2_TGGCGTGAGTCGCTAT-1", "d05.data2_ACACGCGTCAGACATC-1", "d05.data2_GTGCAGCCAAACTCTG-1", "d05.data2_CCTAACCGTAGATTAG-1", "d05.data2_GTCACTCCACTTGTGA-1", "d05.data2_TCATCCGCAGCGACCT-1", "d05.data2_GAAGCGAAGATCCGAG-1", "d05.data2_ATGTCCCGTTGCATCA-1", "d05.data2_AGGTAGGTCGCTGTCT-1", "d05.data2_TCGACCTGTGCGAGTA-1", "d05.data2_CTCCCAAGTATCCTTT-1", "d05.data2_CTTAGGACATAGAATG-1", "d05.data2_ATTCCCGGTTCGTTCC-1", "d05.data2_TGGAACTTCTCCTGTG-1", "d05.data2_ACTACGAAGCTCGCAC-1", "d05.data2_GGTAACTGTTCGTGCG-1", "d05.data2_ACTGATGTCCCAATAG-1", "d05.data2_CGACAGCCAAACTCGT-1", "d05.data2_ACCAAACCACATGACT-1", "d05.data2_CCTCAGTAGATACCAA-1", "d05.data2_TGGAGAGGTGGGCTCT-1", "d05.data2_GAGCCTGCAGCTAACT-1", "d05.data2_ATTCAGGAGATGCTAA-1", "d05.data2_TGGAGAGGTTGATCGT-1", "d05.data2_TATACCTGTGGTCCGT-1", "d05.data2_ATTGTTCGTTTCGATG-1", "d05.data2_GTAATCGAGCGCCTAC-1", "d05.data2_AAGATAGTCGTTCAGA-1", "d05.data2_ATGAAAGCACTGGATT-1", "d05.data2_ATAGACCCAGTCACGC-1", "d05.data2_GAACGTTTCCTCTAGC-1", "d05.data2_ATTCACTAGCGACTTT-1", "d05.data2_CTTCAATGTTTAGAGA-1", "d05.data2_CACAGGCCACTTGGGC-1", "d05.data2_CGACAGCCAGTTGTCA-1", "d05.data2_CAGGTATCAATCGCCG-1", "d05.data2_TGGTTAGGTCGTAATC-1", "d05.data2_TGACGCGAGTTCCGTA-1", "d05.data2_AAGCGAGAGGCCTGCT-1", "d05.data2_AGCTACAGTTTCGTTT-1", "d05.data2_ACGGTTAGTTTCACTT-1", "d05.data2_AAAGAACCACCTCTGT-1", "d05.data2_TTGGGTATCGTGTGAT-1", "d05.data2_TTGATGGAGGAATTAC-1", "d05.data2_CGAGGAATCAAGAAAC-1", "d05.data2_TGTGTGAGTTGTCCCT-1", "d05.data2_GCTACCTTCCGACGGT-1", "d05.data2_CAGTTCCAGCCATTCA-1", "d05.data2_CACGAATGTGCTATTG-1", "d05.data2_CCACGTTAGCCTGAGA-1", "d05.data2_ATGGATCGTATAGCTC-1", "d05.data2_GTGGTTACAGCTGCCA-1", "d05.data2_CAGGGCTGTACCCACG-1", "d05.data2_TTGTGTTAGTATTGCC-1", "d05.data2_CATCCACGTTACCCAA-1", "d05.data2_AACCTTTGTGTTAACC-1", "d05.data2_CCTTCAGGTAGCGATG-1", "d05.data2_TACCGAATCCCGGTAG-1", "d05.data2_CCTATCGGTTAAACAG-1", "d05.data2_TCATTTGCAGGAGGAG-1", "d05.data2_TAGGTTGCAGCAGGAT-1", "d05.data2_GGGTATTCAATCTCTT-1", "d05.data2_GTCTAGATCCACTTTA-1", "d05.data2_ACATCGAGTAAGCGGT-1", "d05.data2_TTTACGTGTCGTATGT-1", "d05.data2_AGGGTGAAGAGCCCAA-1", "d05.data2_ATTTACCCACGTACAT-1", "d05.data2_GCAGTTAGTTGTTTGG-1", "d05.data2_ATCTCTACATCTCCCA-1", "d05.data2_GTTGTGAGTAATTAGG-1", "d05.data2_CAGATCAGTAGACAGC-1", "d05.data2_ATGTCCCAGTCTAGCT-1", "d05.data2_AGGGTGAGTCCGTACG-1", "d05.data2_AGTACTGGTTACCTGA-1", "d05.data2_CACATGACAGACCATT-1", "d05.data2_GATTTCTCACAAATAG-1", "d05.data2_GGCGTCACACTAGGTT-1", "d05.data2_TCTTGCGAGTGGAATT-1", "d05.data2_TGATTTCAGTTCACTG-1", "d05.data2_CAACAGTGTCTATGAC-1", "d05.data2_CTTAGGACAGTTGCGC-1", "d05.data2_TGTGCGGCATGCCGCA-1", "d05.data2_CTGCCTAAGTTGGACG-1", "d05.data2_ACTTATCCACGACGAA-1", "d05.data2_CTCCACAGTACCCAGC-1", "d05.data2_CCTCTAGTCGAAATCC-1", "d05.data2_TAGCACATCGATGCAT-1", "d05.data2_CATTTCATCGTTCTGC-1", "d05.data2_CCATAAGGTGGATACG-1", "d05.data2_TCGGATACACCCTATC-1", "d05.data2_CACTGTCCAGTCGAGA-1", "d05.data2_GTGGAGATCAAGTTGC-1", "d05.data2_GGGCGTTTCGCCTTTG-1", "d05.data2_GAAACCTGTATCCCAA-1", "d05.data2_AGCGATTGTGAAGCGT-1", "d05.data2_TAGGGTTAGTAAGAGG-1", "d05.data2_TTGGGTATCCTAAACG-1", "d05.data2_GTCGTTCGTTCGTGCG-1", "d05.data2_AGCTTCCGTACGGTTT-1", "d05.data2_AGATCGTGTATCGTTG-1", "d05.data2_ACTTTGTTCACTCACC-1", "d05.data2_ACCTACCCATCTCGTC-1", "d05.data2_TGTTACTTCCGCGATG-1", "d05.data2_TCAGTCCGTTCTATCT-1", "d05.data2_CCATAAGAGATTGTGA-1", "d05.data2_TCGCTCAGTCCACTTC-1", "d05.data2_CTTGATTTCGAACGCC-1", "d05.data2_TTGTGGAAGTTTGGCT-1", "d05.data2_CTCAATTCAGGGTTGA-1", "d05.data2_TTTAGTCGTATGAAAC-1", "d05.data2_CCTATCGTCCCGTGAG-1", "d05.data2_GACTATGCAATCAGCT-1", "d05.data2_TAGAGTCTCGCACTCT-1", "d05.data2_ACATGCACATTCGATG-1", "d05.data2_GGAGGTATCTCGCTCA-1", "d05.data2_TCGTGGGCACCTAAAC-1", "d05.data2_CTCAGAAAGGACATCG-1", "d05.data2_CCACAAACATCGATCA-1", "d05.data2_TGCAGGCCAGTTGAAA-1", "d05.data2_GGGACTCCATGTTTGG-1", "d05.data2_GTCATTTCACGAAGAC-1", "d05.data2_TCTTAGTCAAGAGTTA-1", "d05.data2_GGTAGAGCACTGGCGT-1", "d05.data2_AAGCCATCAATTCTTC-1", "d05.data2_ACTTATCCAGCTCATA-1", "d05.data2_CTTAGGAGTTCCGCAG-1", "d05.data2_TCAGCCTAGACGAAGA-1", "d05.data2_GCTTTCGAGTCTTCCC-1", "d05.data2_TCGCTTGGTCGTACAT-1", "d05.data2_ATTTACCTCACCGACG-1", "d05.data2_CTCAACCGTATCAGGG-1", "d05.data2_GGCAGTCGTTACGTAC-1", "d05.data2_CATTGCCTCCTCTCTT-1", "d05.data2_TAGCACATCACCGCTT-1", "d05.data2_CGTGCTTGTATGTGTC-1", "d05.data2_CTCCTCCTCTGAATCG-1", "d05.data2_CATTCTACACATGAAA-1", "d05.data2_CCACGTTGTGGGACAT-1", "d05.data2_TCATGCCAGCCGGATA-1", "d05.data2_GATTTCTAGCGGGTAT-1", "d05.data2_GCAACATAGCAACCAG-1", "d05.data2_CGAAGGATCACCTGGG-1", "d05.data2_TTTCCTCTCATCGACA-1", "d05.data2_TTACGTTAGTAAACGT-1", "d05.data2_CTTCGGTTCCGTTGGG-1", "d05.data2_AGCGCTGCAAGTCCCG-1", "d05.data2_TATTGGGAGATGTAGT-1", "d05.data2_TCGCTTGTCAACGTGT-1", "d05.data2_TGGATCAAGGGCTTCC-1", "d05.data2_TCATTTGAGTAAGAGG-1", "d05.data2_AGCCAGCCACTGTTCC-1", "d05.data2_GTAAGTCTCTCATGGA-1", "d05.data2_TTGTTGTCACTGTCCT-1", "d05.data2_AACCACAGTCAGGTGA-1", "d05.data2_TACACCCAGTGCTCAT-1", "d05.data2_AAACGCTCAAATGAAC-1", "d05.data2_ACTGTCCTCCGTATAG-1", "d05.data2_GTAACACCATTCCTAT-1", "d05.data2_CATCCCACAAACACGG-1", "d05.data2_TCCTTTCTCTTGGTCC-1", "d05.data2_CTGCATCGTTCCTAGA-1", "d05.data2_CAGCACGGTACTAGCT-1", "d05.data2_CAGAGCCAGTTCCATG-1", "d05.data2_TTGGTTTGTCCCGCAA-1", "d05.data2_CAGTTAGCAGTTCACA-1", "d05.data2_CCGCAAGAGGATACGC-1", "d05.data2_GATTGGTTCGACCACG-1", "d05.data2_GAAACCTCATAGAATG-1", "d05.data2_GCACGTGTCTCGCTTG-1", "d05.data2_CTCAAGAAGCACGGAT-1", "d05.data2_GCCAGTGGTCTTACAG-1", "d05.data2_ATCTTCATCAACGCTA-1", "d05.data2_AGAGAGCAGGTTGCCC-1", "d05.data2_ATGACCATCCATAGAC-1", "d05.data2_CTAACTTAGTACAACA-1", "d05.data2_CATGCAAAGGATTACA-1", "d05.data2_CACCAAACACGAGGAT-1", "d05.data2_GTGAGCCTCCTATTGT-1", "d05.data2_ACCAACAGTGAAGCTG-1", "d05.data2_AGGTCTAAGGTTGGTG-1", "d05.data2_ATCCTATGTGTCATGT-1", "d05.data2_CAATGACTCTGAGTCA-1", "d05.data2_TCGGATATCGCAATTG-1", "d05.data2_GAAGGACGTGTTATCG-1", "d05.data2_TCAGTCCCACGCAGTC-1", "d05.data2_TTCTCTCCAGGGTCTC-1", "d05.data2_CAACAGTCATGGATCT-1", "d05.data2_TTGCCTGAGGGAGATA-1", "d05.data2_AGCTACAAGAATCGCG-1", "d05.data2_CCTAACCCATCGGTTA-1", "d05.data2_GCTGGGTGTTCCGCGA-1", "d05.data2_CATGCGGAGCTGAAAT-1", "d05.data2_AACAAGAGTATTGGCT-1", "d05.data2_AAGGAATGTCAATCTG-1", "d05.data2_CTTGAGAAGTAACAGT-1", "d05.data2_ATAGACCTCATTTCGT-1", "d05.data2_ACGGTTATCTTGGATG-1", "d05.data2_CATACCCCATGAGAAT-1", "d05.data2_CATGGATGTATGAGAT-1", "d05.data2_ATACTTCGTTAAGGAT-1", "d05.data2_GTCACGGGTGCCTTCT-1", "d05.data2_TGAACGTTCTTAGGAC-1", "d05.data2_ATTTACCAGTCATGCT-1", "d05.data2_GAATCACCATACAGGG-1", "d05.data2_GAGTCTAAGCTGTACT-1", "d05.data2_TCCTCGATCTATGTGG-1", "d05.data2_CTTCCTTTCATTGCTT-1", "d05.data2_CATCCCATCTTGAGCA-1", "d05.data2_TGCGATACACAATTCG-1", "d05.data2_AAGACAACACCTGAAT-1", "d05.data2_TGGTACATCGACACTA-1", "d05.data2_GGGTGTCTCCGAGTGC-1", "d05.data2_GTAGAAAGTCCGTACG-1", "d05.data2_GGCACGTTCCGACAGC-1", "d05.data2_GGATCTACATGAGTAA-1", "d05.data2_AGAGAATTCTAACGCA-1", "d05.data2_TCATTGTTCTTAGCAG-1", "d05.data2_GGCTTGGTCAGTAGGG-1", "d05.data2_ATGATCGGTGAGTTTC-1", "d05.data2_GTCCCATTCGTTCAGA-1", "d05.data2_AAGGAATGTGATACTC-1", "d05.data2_CTACTATTCACGATAC-1", "d05.data2_TGAATGCGTTTCCCAC-1", "d05.data2_TTCGGTCTCAGCTAGT-1", "d05.data2_TGCTTCGCATTACTCT-1", "d05.data2_ATCTTCAAGATGGTAT-1", "d05.data2_AAACCCAAGGTGGCTA-1", "d05.data2_TGCGATATCATAGGCT-1", "d05.data2_ACTATCTTCTCCCAAC-1", "d05.data2_AAGTACCAGGTTACCT-1", "d05.data2_AGGACTTGTACCTAGT-1", "d05.data2_GTTACGAGTATCCTCC-1", "d05.data2_GATAGCTCAGTCAGTT-1", "d05.data2_GTAGCTAGTGGACCAA-1", "d05.data2_ATGTCTTCAGCATACT-1", "d05.data2_TCATTACTCATATGGC-1", "d05.data2_GGGCCATGTGAGACCA-1", "d05.data2_ACAAGCTGTACTCCGG-1", "d05.data2_AGAAATGAGTATAGAC-1", "d05.data2_CACATGAAGTTATGGA-1", "d05.data2_TCATTACAGGTTAGTA-1", "d05.data2_AGGGTTTAGGCCTTCG-1", "d05.data2_GCCAGGTGTAACGCGA-1", "d05.data2_TAATTCCTCTACAGGT-1", "d05.data2_TCCATGCAGCTAATGA-1", "d05.data2_CTGCCATCAGCTTCGG-1", "d05.data2_GCGGAAAGTGTTAAAG-1", "d05.data2_TCGTAGAAGTGGTTGG-1", "d05.data2_GTAATGCCAGGTTTAC-1", "d05.data2_GGAACCCTCCCTAGGG-1", "d05.data2_TGGAACTGTCTGTGGC-1", "d05.data2_TAGGTTGGTGCTGTCG-1", "d05.data2_TGTTACTCACAAATAG-1", "d05.data2_CCTAACCCAGTTAGGG-1", "d05.data2_ATGAGGGCATGGTACT-1", "d05.data2_GACCAATTCGCTACAA-1", "d05.data2_ATTGGGTGTGCCCAGT-1", "d05.data2_GTTCATTAGGTCACCC-1", "d05.data2_GGGAGATTCCGCAAAT-1", "d05.data2_TCACAAGCACGCTGAC-1", "d05.data2_CATCCGTAGTGAGGTC-1", "d05.data2_CATCGGGTCTAAGCGT-1", "d05.data2_GCTGCAGAGTGTTGTC-1", "d05.data2_AGCCAGCCATGGGATG-1", "d05.data2_GAGAAATGTTAGGGAC-1", "d05.data2_TCATGTTTCGGTCGGT-1", "d05.data2_TTGCATTGTGGTACAG-1", "d05.data2_TGGGATTCATGGGCAA-1", "d05.data2_GTGCTTCCACCTCTAC-1", "d05.data2_GGGCTCAAGATGCCGA-1", "d05.data2_TGTCCACTCTAATTCC-1", "d05.data2_TTTATGCCAAGGTTGG-1", "d05.data2_TCATTTGCACATCATG-1", "d05.data2_GTGCACGTCGAGCTGC-1", "d05.data2_TGAGGTTCAGACGATG-1", "d05.data2_ACCCAAAAGACCGTTT-1", "d05.data2_TTATTGCTCTAGCATG-1", "d05.data2_AAGACAAGTTGGACCC-1", "d05.data2_TCATTTGCACGTGAGA-1", "d05.data2_CTCTCGACAAAGCACG-1", "d05.data2_ACACGCGGTGCGTGCT-1", "d05.data2_GCTGAATGTCGGCCTA-1", "d05.data2_ACAACCATCTGACCCT-1", "d05.data2_CCAATTTAGGCTTAAA-1", "d05.data2_GAACACTCAACCAACT-1", "d05.data2_TCTATACAGTTGGGAC-1", "d05.data2_GAGGCCTCACTGTGAT-1", "d05.data2_GCACATAGTACATACC-1", "d05.data2_ACTGTGACAACAGAGC-1", "d05.data2_GGTGAAGGTTGACTAC-1", "d05.data2_CTGCTCAGTGTATTGC-1", "d05.data2_AGGACGAGTACGATCT-1", "d05.data2_CCAATGACATGATCTG-1", "d05.data2_CAGCCAGGTCGCAGTC-1", "d05.data2_AACTTCTTCCCTATTA-1", "d05.data2_AGGTTGTCACTTGTCC-1", "d05.data2_CAGTTCCCAAATGCTC-1", "d05.data2_ATGGATCGTACCTAGT-1", "d05.data2_TGTCCTGGTGCAACGA-1", "d05.data2_CCAATGAGTGCATTAC-1", "d05.data2_GAATCACTCACCATGA-1", "d05.data2_AAGACTCAGAGAGCAA-1", "d05.data2_AGGTCTACAACGCATT-1", "d05.data2_GTCATGACAAGCAGGT-1", "d05.data2_AGTTCGACAGGACTAG-1", "d05.data2_GTTTACTGTATACAGA-1", "d05.data2_CGTAATGAGTTAGAAC-1", "d05.data2_GCTCAAACATAATCCG-1", "d05.data2_ACTGTGAGTATCCTTT-1", "d05.data2_TACCGGGCAGGTCAGA-1", "d05.data2_ATCATTCGTTGGAGAC-1", "d05.data2_AGATCCACATTCTCTA-1", "d05.data2_CTACATTTCGAACACT-1", "d05.data2_AACCTTTCATGTGTCA-1", "d05.data2_AAGTTCGGTCAGACTT-1", "d05.data2_ATCCCTGGTTTAGTCG-1", "d05.data2_TCTACATAGGGAGTTC-1", "d05.data2_TTAGTCTGTACCTAAC-1", "d05.data2_TACGTCCTCAGGTGTT-1", "d05.data2_CGCATAAAGCGTCAGA-1", "d05.data2_ATACCTTAGCAGGTCA-1", "d05.data2_ACTTCCGGTGAGACCA-1", "d05.data2_CAATGACAGAAGCCAC-1", "d05.data2_CATACTTCAATCTAGC-1", "d05.data2_CCCAACTAGGCCCAAA-1", "d05.data2_CCTAACCGTGTTAACC-1", "d05.data2_GCCCAGATCATTGCCC-1", "d05.data2_GCAACCGGTTCCAGGC-1", "d05.data2_TTGAGTGCACTAAACC-1", "d05.data2_AGAGAGCAGTCGCTAT-1", "d05.data2_CTACCTGCACCCTTGT-1", "d05.data2_TAACGACTCGAACCTA-1", "d05.data2_CTATCCGTCACGATCA-1", "d05.data2_ACGTCCTCATGCTGCG-1", "d05.data2_CAGTTCCGTAACCCGC-1", "d05.data2_TGATGGTCATGGATCT-1", "d05.data2_AACAAGAGTCACTAGT-1", "d05.data2_AACAAGAGTAGAGACC-1", "d05.data2_CCTTGTGTCGATGCAT-1", "d05.data2_CAAAGAATCGCTACGG-1", "d05.data2_TTCATGTGTTTAAGGA-1", "d05.data2_TCGCAGGCACTATCGA-1", "d05.data2_ATCCCTGTCTAGATCG-1", "d05.data2_CCTCCTCTCGCTTTAT-1", "d05.data2_AGGAAATAGGAATTAC-1", "d05.data2_AGCTACAGTTGCATAC-1", "d05.data2_ATACTTCCACATCATG-1", "d05.data2_TAATCTCCACTTGAAC-1", "d05.data2_TAATTCCGTTCAATCG-1", "d05.data2_ACCTGAAAGTAGTCTC-1", "d05.data2_TTGACCCCATAGCACT-1", "d05.data2_CCACAAAAGTCGTCTA-1", "d05.data2_AGCCAGCCACCACTGG-1", "d05.data2_TGTGATGGTACTGCGC-1", "d05.data2_CATCGCTGTCCGAAAG-1", "d05.data2_ACCTGTCTCTGTGCTC-1", "d05.data2_CGAGTTAAGCGTCTGC-1", "d05.data2_CAGTTAGTCACCTCGT-1", "d05.data2_CTAGACAAGCGGGTAT-1", "d05.data2_GTCTACCTCTCATTTG-1", "d05.data2_TGAACGTTCATGGAGG-1", "d05.data2_TTTACGTCAGCTCCTT-1", "d05.data2_AACAAAGCAAATACAG-1", "d05.data2_AAGACAAAGCGACAGT-1", "d05.data2_CTTACCGTCCTTCTTC-1", "d05.data2_TCGGGACTCCCTCGTA-1", "d05.data2_CTCAGAAGTCTTCTAT-1", "d05.data2_ATCGGCGCAGGAATCG-1", "d05.data2_TTGACCCGTCTACAGT-1", "d05.data2_ATAGAGACAATGAACA-1", "d05.data2_TCAGCCTAGGGAGATA-1", "d05.data2_AGTCATGAGAGGACTC-1", "d05.data2_TACGCTCAGCGGCTCT-1", "d05.data2_AGGTCATGTTAATCGC-1", "d05.data2_AACAAGACAGCAATTC-1", "d05.data2_CAAGAGGAGAGGATGA-1", "d05.data2_GGAGATGCAAGTGGCA-1", "d05.data2_TCGTCCAGTATGGAAT-1", "d05.data2_GGGACCTGTGTCCACG-1", "d05.data2_TGCTTCGTCATCTATC-1", "d05.data2_CTGCTCATCATACAGC-1", "d05.data2_AGTAACCAGTGGATAT-1", "d05.data2_GAGCCTGTCAAAGGTA-1", "d05.data2_TGAGCGCAGCTTGTTG-1", "d05.data2_GGGAAGTAGGATTCCT-1", "d05.data2_CCACAAACACTGAATC-1", "d05.data2_GATGCTATCGCTCCTA-1", "d05.data2_ACCCTCAAGCCTCAAT-1", "d05.data2_TCGAAGTTCGACGCTG-1", "d05.data2_TTCCGTGCAGAGGAAA-1", "d05.data2_TACCTGCCAGACTCTA-1", "d05.data2_TGTTGAGCAATTAGGA-1", "d05.data2_TGTGCGGCACACTTAG-1", "d05.data2_CTGAGGCGTCGGAAAC-1", "d05.data2_TCCTTCTGTCTACATG-1", "d05.data2_AGCTACATCTCATTTG-1", "d05.data2_CATTCTACACGGGCTT-1", "d05.data2_CTCCTCCCAGTCTGGC-1", "d05.data2_TCATGTTAGCAGATAT-1", "d05.data2_AAAGTCCAGCTATCTG-1", "d05.data2_GTTGTGACACTCCGGA-1", "d05.data2_AGCGTATTCGAATGCT-1", "d05.data2_CAATCGACATCTTCGC-1", "d05.data2_ATCACAGAGGTACCTT-1", "d05.data2_GATAGAACAACTTGCA-1", "d05.data2_GATTCGACAGAGGAAA-1", "d05.data2_TTTCCTCAGTGATAAC-1", "d05.data2_ATCCATTTCTCACCCA-1", "d05.data2_AGTCATGGTTCGAGCC-1", "d05.data2_GCACATAAGCGACTAG-1", "d05.data2_TCTTTGAGTCGGAACA-1", "d05.data2_TGCATGAAGCATAGGC-1", "d05.data2_AGCCACGCATCATCCC-1", "d05.data2_CCACGTTTCTCCTGAC-1", "d05.data2_TTCTTGAAGCTGCCAC-1", "d05.data2_CTCCACAGTCTTTATC-1", "d05.data2_GTAGATCCATGTAACC-1", "d05.data2_AATTTCCTCCTACAAG-1", "d05.data2_GGGAGTACAAACTGCT-1", "d05.data2_GCAGCCATCGATCCAA-1", "d05.data2_GGGTTTATCTACACTT-1", "d05.data2_GCCCGAACATCCTTCG-1", "d05.data2_TGACTCCTCGATACAC-1", "d05.data2_CACATGACACCCTGTT-1", "d05.data2_GGTTAACTCATTTACC-1", "d05.data2_ACTATGGCATGTAACC-1", "d05.data2_CGCAGGTTCGGAGATG-1", "d05.data2_AGCTCAATCCTGGGAC-1", "d05.data2_GGGATCCAGAGTCGAC-1", "d05.data2_TCCGTGTCATACATCG-1", "d05.data2_TACCCGTTCCAGTGTA-1", "d05.data2_CGCCAGAAGCTCACTA-1", "d05.data2_CATTTCATCGAGAAAT-1", "d05.data2_AATAGAGGTGTTGACT-1", "d05.data2_AAAGGTACAAAGAACT-1", "d05.data2_ATCTTCAGTATTTCTC-1", "d05.data2_TTGAGTGCAGCGCTTG-1", "d05.data2_GACGTTAGTTAGAAAC-1", "d05.data2_TGGGCTGGTAGCTGTT-1", "d05.data2_TGAGACTGTAGTAAGT-1", "d05.data2_TCATGTTAGGACAACC-1", "d05.data2_CTAAGTGGTATTGAGA-1", "d05.data2_GCACTAATCCAGTGCG-1", "d05.data2_AGTTCCCCAAGTATCC-1", "d05.data2_AGGCATTTCCCAACTC-1", "d05.data2_AAGCGTTTCATGACAC-1", "d05.data2_TCCAGAAGTCTGATAC-1", "d05.data2_CTGTATTTCATCGTAG-1", "d05.data2_CTGGCAGTCCACAGCG-1", "d05.data2_ATGGATCGTAGCTCGC-1", "d05.data2_TGAGCGCGTATGCTTG-1", "d05.data2_AACCAACCAAGGCTTT-1", "d05.data2_GTTCTATTCGACGATT-1", "d05.data2_CTAACCCGTGTGCCTG-1", "d05.data2_ACTCCCATCACCTGGG-1", "d05.data2_CCACGAGTCCTCGATC-1", "d05.data2_ATTTACCGTCACTACA-1", "d05.data2_AATGCCACAAGCAATA-1", "d05.data2_ATGCATGTCATGGAGG-1", "d05.data2_TTCTAACCAAGACGAC-1", "d05.data2_TCATCATGTTTACCTT-1", "d05.data2_AGTTCGATCTAGCAAC-1", "d05.data2_CGCATGGTCCTTATCA-1", "d05.data2_CTATAGGGTGTCCCTT-1", "d05.data2_ACTTCCGGTCAAAGAT-1", "d05.data2_CTATAGGTCTCTGACC-1", "d05.data2_CCACTTGCACTTTAGG-1", "d05.data2_GGGAGTAGTTATGTGC-1", "d05.data2_TCATACTCATTGACCA-1", "d05.data2_GATGATCGTAGCGAGT-1", "d05.data2_ATCCTATCAAATCGTC-1", "d05.data2_TTTCATGCACCTGAAT-1", "d05.data2_TGAGGGATCCATCTGC-1", "d05.data2_TATGTTCTCGGTGTAT-1", "d05.data2_GCCATGGTCTACACAG-1", "d05.data2_AAGATAGGTGCTTCAA-1", "d05.data2_GTCAGCGTCTACACAG-1", "d05.data2_CCTTCAGGTCCCAAAT-1", "d05.data2_TCTCAGCAGTCAGCGA-1", "d05.data2_GAATCGTCACACCGCA-1", "d05.data2_TCCACCAAGACGACGT-1", "d05.data2_TGACGCGAGCCGGAAT-1", "d05.data2_GATCCCTCAGCATGCC-1", "d05.data2_TACCTGCAGACGGTCA-1", "d05.data2_GCAGCTGCATGTGACT-1", "d05.data2_GCAACATAGCTGAGCA-1", "d05.data2_CATGCAAAGGGCAACT-1", "d05.data2_TTCAATCGTAGCTTTG-1", "d05.data2_GCTTGGGAGTATGGCG-1", "d05.data2_GTCAAGTAGGCTTCCG-1", "d05.data2_TACGGTAGTTCAGCGC-1", "d05.data2_TCGCAGGCACAGCGCT-1", "d05.data2_GTTGTGAGTCTCTCCA-1", "d05.data2_ACCATTTAGCTGGAGT-1", "d05.data2_GTGAGTTTCAACCTTT-1", "d05.data2_CGAGTTAAGCCAGAGT-1", "d05.data2_AACAACCAGTAGACAT-1", "d05.data2_GTGAGGATCTCTTAAC-1", "d05.data2_GGTGATTTCGACCACG-1", "d05.data2_AAGATAGTCTTCTGTA-1", "d05.data2_AGCGATTGTACGCTTA-1", "d05.data2_GCCGATGCATATACCG-1", "d05.data2_CCGAACGGTCAAACGG-1", "d05.data2_TGCGGGTGTTCGGCCA-1", "d05.data2_CTAACCCAGACATGCG-1", "d05.data2_GAGACTTTCCGGACGT-1", "d05.data2_AGGGTTTAGCGTTAGG-1", "d05.data2_TCGACGGAGTCTCTGA-1", "d05.data2_ATCCCTGCAACAAAGT-1", "d05.data2_CTACCTGCAGTTGTTG-1", "d05.data2_CGGAATTGTGTCGATT-1", "d05.data2_GCAGGCTCAATGTGGG-1", "d05.data2_GCATCTCTCTCTGGTC-1", "d05.data2_TCGTGGGGTTTGTTGG-1", "d05.data2_CCACAAATCCTCTAGC-1", "d05.data2_TTCTGTAGTTCCCAAA-1", "d05.data2_AGGGTCCGTCGTATTG-1", "d05.data2_GCCATTCCATAACGGG-1", "d05.data2_CTACATTGTCAGTTTG-1", "d05.data2_GGTAATCTCTAGCATG-1", "d05.data2_CGCATAATCATACAGC-1", "d05.data2_CTCCTCCTCGCATAGT-1", "d05.data2_AAGACAAGTCGACGCT-1", "d05.data2_TCCATGCCAGGAACCA-1", "d05.data2_TGATGGTTCACCGACG-1", "d05.data2_GGTGTCGTCCTCACTG-1", "d05.data2_TCTATACAGCATGATA-1", "d05.data2_CTATCTAAGGTTGCCC-1", "d05.data2_TTGGATGCAGTTGCGC-1", "d05.data2_GTAGTACAGGGCTAAC-1", "d05.data2_GAACTGTAGCTAGAGC-1", "d05.data2_GCCAGGTTCGCATGAT-1", "d05.data2_TTTCACAGTCACAATC-1", "d05.data2_TCTGGCTAGTTGGAAT-1", "d05.data2_AACCTGAGTAACATAG-1", "d05.data2_CAAGCTAAGGAAGTAG-1", "d05.data2_GGTTAACGTGTGAGCA-1", "d05.data2_TTCCTAATCTTCACAT-1", "d05.data2_TGCGATACACACCTAA-1", "d05.data2_TTCTTCCTCCTCACCA-1", "d05.data2_CATGCAACATCAACCA-1", "d05.data2_ATGCATGCACTGTTCC-1", "d05.data2_CTACTATTCGAACCAT-1", "d05.data2_TTCTAGTCACACACGC-1", "d05.data2_TAATTCCCAGAGGTTG-1", "d05.data2_ACTTATCTCGGTCGAC-1", "d05.data2_AAAGAACCACCTAAAC-1", "d05.data2_TACGGTATCAATGTCG-1", "d05.data2_GAATCACCAAGGCTTT-1", "d05.data2_TACCTGCCAGTATTCG-1", "d05.data2_TACTGCCTCACGGGCT-1", "d05.data2_TCCAGAACACCCTTGT-1", "d05.data2_TCATTTGTCGTTAGAC-1", "d05.data2_CCGTAGGGTCTTGAAC-1", "d05.data2_AGTAACCTCAGGAAAT-1", "d05.data2_TTGATGGTCGAACGCC-1", "d05.data2_TCGCTCATCCTCGATC-1", "d05.data2_GGTGGCTAGTAACGAT-1", "d05.data2_GACCCTTAGTCTCCTC-1", "d05.data2_CAACAACCAATGTTGC-1", "d05.data2_CTGCCATCAGCTTTCC-1", "d05.data2_GATGGAGTCCTTGACC-1", "d05.data2_ATCACAGGTAAGCAAT-1", "d05.data2_ACCAACATCGTGCGAC-1", "d05.data2_CAATCGATCAAAGGTA-1", "d05.data2_TTAATCCAGACCAACG-1", "d05.data2_TGAGGGACAGTTAGGG-1", "d05.data2_GAGGGATTCGTAGCCG-1", "d05.data2_GTAAGTCAGACTCTTG-1", "d05.data2_ATGGTTGTCGAGTCTA-1", "d05.data2_GTGACGCCACGGCCAT-1", "d05.data2_TTATTGCGTTAAGACA-1", "d05.data2_GAACTGTAGAGCCGAT-1", "d05.data2_GTCTCACAGGTTCCAT-1", "d05.data2_ACTCTCGGTCCATAGT-1", "d05.data2_ATACTTCGTGGTGATG-1", "d05.data2_CGTCAAAGTTCCTAGA-1", "d05.data2_TGGTACATCAAGTGTC-1", "d05.data2_TCGAACATCGCTGCGA-1", "d05.data2_CTGCAGGGTCTCGGGT-1", "d05.data2_CATTGCCAGGGTAATT-1", "d05.data2_TCTAACTAGGTCTACT-1", "d05.data2_ACTGTGAGTAATACCC-1", "d05.data2_CAGAGCCGTTCATCGA-1", "d05.data2_CCAATTTCAGCAGTAG-1", "d05.data2_TTCTGTATCCGGTAAT-1", "d05.data2_ACACAGTTCGCTACGG-1", "d05.data2_GGGACAAAGAAGCGCT-1", "d05.data2_GACATCATCCACGTCT-1", "d05.data2_CGAGTGCCATGGCTGC-1", "d05.data2_TCTCACGGTCATCCGG-1", "d05.data2_TTATTGCCAGCTTTGA-1", "d05.data2_ACTTATCTCCGTATAG-1", "d05.data2_ATTTCACTCATGAGGG-1", "d05.data2_AGCATCATCCTGCTAC-1", "d05.data2_TGTTCTAGTTATCCAG-1", "d05.data2_ATGCCTCTCTCCACTG-1", "d05.data2_TCTGTCGCAGCGTGAA-1", "d05.data2_GTCAGCGTCCAAGAGG-1", "d05.data2_CGGAACCGTGCTTCAA-1", "d05.data2_AGACTCACACTGAGGA-1", "d05.data2_TATTTCGTCGCATGAT-1", "d05.data2_AAAGGTACACTGTTCC-1", "d05.data2_AGCCAATTCGTCAGAT-1", "d05.data2_TCCCACAAGTTCGGTT-1", "d05.data2_TACACCCCATACTGTG-1", "d05.data2_TGACTCCGTTACAGCT-1", "d05.data2_CATCGTCAGGTTACCT-1", "d05.data2_TATCAGGCAACAAAGT-1", "d05.data2_CCACAAATCTTGTGCC-1", "d05.data2_TCCATCGTCCGCAAAT-1", "d05.data2_TAGTGCAGTCTACGTA-1", "d05.data2_TGATGCAGTATCACCA-1", "d05.data2_AGTGTTGCACTAGAGG-1", "d05.data2_CATCGTCTCCACGGAC-1", "d05.data2_AGAGCCCAGGGTTAGC-1", "d05.data2_TCCTCTTAGACATCCT-1", "d05.data2_TAAGCCAAGTCAGCCC-1", "d05.data2_TATCTTGTCGCTTGCT-1", "d05.data2_CAGCAATTCTAGCAAC-1", "d05.data2_GCTTCACTCGACCTAA-1", "d05.data2_CTAACCCCAAGAAATC-1", "d05.data2_TTCCGTGCAATTGCGT-1", "d05.data2_ATCATTCGTGCCGGTT-1", "d05.data2_GCTCAAACACGATTCA-1", "d05.data2_AGTGTTGCATACGCAT-1", "d05.data2_CTCAGAATCTACCCAC-1", "d05.data2_TAACTTCGTCATGGCC-1", "d05.data2_AGCTCAAAGTCTGGTT-1", "d05.data2_TAGAGTCTCCGGGACT-1", "d05.data2_TCGCTTGCACCCTCTA-1", "d05.data2_GGCACGTAGCTGGTGA-1", "d05.data2_TCTAACTGTTTACCAG-1", "d05.data2_ATGAGGGCAATCGCAT-1", "d05.data2_TGAGGAGCAGCTGCCA-1", "d05.data2_AACAGGGTCGCCGATG-1", "d05.data2_GTTACAGGTTAGTTCG-1", "d05.data2_CGCCATTGTCATGCAT-1", "d05.data2_CGGGCATCACAGCCTG-1", "d05.data2_AACTTCTTCAGCTTGA-1", "d05.data2_CATCCACTCCGCAAAT-1", "d05.data2_AGGGCTCTCTTGAGCA-1", "d05.data2_AACACACGTGTTCCTC-1", "d05.data2_CGTGCTTAGCGTGTTT-1", "d05.data2_CTTTCGGAGAATCGTA-1", "d05.data2_AATCGACTCAGACCGC-1", "d05.data2_CACGTGGGTTGCATTG-1", "d05.data2_CGTCAAAGTACGGATG-1", "d05.data2_ATCGATGCAACACACT-1", "d05.data2_GAGTTGTTCCACCTGT-1", "d05.data2_CATACAGCACTCGATA-1", "d05.data2_ACTTTCAAGGTGCAGT-1", "d05.data2_ATTCTTGTCAAGCCCG-1", "d05.data2_ACCTACCGTGTTCAGT-1", "d05.data2_AACCATGAGTTCCGTA-1", "d05.data2_ACCTGAAAGGTCTACT-1", "d05.data2_GTAACCAGTCCTATAG-1", "d05.data2_AGCGTATTCAGCTTCC-1", "d05.data2_TAAGCACCAGAACTCT-1", "d05.data2_ACGTCCTAGCACCGTC-1", "d05.data2_AAAGGGCAGTGCAAAT-1", "d05.data2_GCTCAAACAGACCAAG-1", "d05.data2_ACACGCGGTGATAGTA-1", "d05.data2_GACTTCCCAACCGTAT-1", "d05.data2_ACAGCCGGTCTCCTGT-1", "d05.data2_CAGCAGCAGCTGGCCT-1", "d05.data2_TCGAACACACCTGCTT-1", "d05.data2_GCTACAAGTAGCGTAG-1", "d05.data2_CTCACTGTCCGGTAGC-1", "d05.data2_ATCTTCATCCATGAGT-1", "d05.data2_CTATCTACACATGTTG-1", "d05.data2_CCTCAACGTGGCTTGC-1", "d05.data2_GAGTTTGAGTCCTGTA-1", "d05.data2_AGGCTGCCATGTAACC-1", "d05.data2_GTAGAAATCCGCGATG-1", "d05.data2_TCCCACAAGCACGTCC-1", "d05.data2_ACCCAAACAATGTCAC-1", "d05.data2_GATCATGCAGGAATAT-1", "d05.data2_AAGACAAAGGTTCATC-1", "d05.data2_GCCAACGTCTGAACGT-1", "d05.data2_GACCAATTCCTCATAT-1", "d05.data2_CCACACTTCCAGCACG-1", "d05.data2_TACAACGCACACCGAC-1", "d05.data2_ACCAAACGTTACTCAG-1", "d05.data2_ATAGGCTGTACAATAG-1", "d05.data2_CACTGAACAACTGAAA-1", "d05.data2_GGAGGTACACCTGAAT-1", "d05.data2_CGGGTCATCGAGCACC-1", "d05.data2_GACCTTCTCCAATCTT-1", "d05.data2_ATGGTTGGTACGAAAT-1", "d05.data2_TAGACTGGTATCATGC-1", "d1.data2_AGACACTCAAGAGAGA-1", "d1.data2_CACTAAGAGTAAGCAT-1", "d1.data2_TCGTGCTAGTACGAGC-1", "d1.data2_CGATGGCAGCTGCGAA-1", "d1.data2_TCTCTGGAGTTGTAGA-1", "d1.data2_TGTAACGAGCTTCGTA-1", "d1.data2_TCGTGCTAGAACAGGA-1", "d1.data2_TGAGCATTCGAGCCAC-1", "d1.data2_GTAGAAAGTTGGGTTT-1", "d1.data2_GTAGAAAAGCCTGACC-1", "d1.data2_TTCTGTACATGTAACC-1", "d1.data2_CTCAAGACATTGAAGA-1", "d1.data2_AGGAGGTGTATCGTGT-1", "d1.data2_CTTCCGAGTTGTGCAT-1", "d1.data2_TGCTCGTGTACTAACC-1", "d1.data2_GCTGCAGAGGTCGCCT-1", "d1.data2_GCCTGTTGTTGGTGTT-1", "d1.data2_TCCTGCACAGAAATCA-1", "d1.data2_GCATCGGAGCTGCGAA-1", "d1.data2_CTGAATGCAAGAGTGC-1", "d1.data2_GTGGGAATCCTGATAG-1", "d1.data2_GCTTCACAGGTAAACT-1", "d1.data2_AAGGAATTCTAGAACC-1", "d1.data2_ACATCGAAGTTTGTCG-1", "d1.data2_GACAGCCAGGCATCGA-1", "d1.data2_TAACGACCAGGTAGTG-1", "d1.data2_TTTATGCCACAACATC-1", "d1.data2_CGTGCTTCATAGATGA-1", "d1.data2_CAGTTAGGTGCATTAC-1", "d1.data2_TCCATGCCATTGGCAT-1", "d1.data2_TTCCACGAGCACTCGC-1", "d1.data2_ACAAAGATCCTCAGGG-1", "d1.data2_TAGGAGGCAATAACCC-1", "d1.data2_GATAGAACATTCGGGC-1", "d1.data2_ATCCCTGAGGTCCCTG-1", "d1.data2_GGTAACTGTCTGTGTA-1", "d1.data2_TCGGGTGGTGTGCCTG-1", "d1.data2_TTCTTCCAGGAGTATT-1", "d1.data2_GTATTGGAGTGCGACA-1", "d1.data2_AGGGTGAGTGATACAA-1", "d1.data2_CTCCATGCATCTGGGC-1", "d1.data2_TCCGAAAGTGCGGTAA-1", "d1.data2_AAAGTGAGTGTGTACT-1", "d1.data2_CTCAATTAGTCAGGGT-1", "d1.data2_TCGAAGTGTGGGATTG-1", "d1.data2_GAGGCAATCAAATGAG-1", "d1.data2_AACGAAAGTTTGGAGG-1", "d1.data2_CAAAGAATCGTAATGC-1", "d1.data2_CCTGTTGCACAGCCTG-1", "d1.data2_AGGCTGCCATGGCTAT-1", "d1.data2_GTAGAGGGTCTTTCTA-1", "d1.data2_CCCGGAAGTACCACGC-1", "d1.data2_AAGAACAGTATAGGAT-1", "d1.data2_TGCATCCGTCTGCGCA-1", "d1.data2_TGGAGGAAGTAACGAT-1", "d1.data2_GACGTTAAGTTGGGAC-1", "d1.data2_CTGTGGGTCTACCACC-1", "d1.data2_TTCAATCGTGAATAAC-1", "d1.data2_TCGCAGGAGATAGCTA-1", "d1.data2_TGACCCTCACACTGGC-1", "d1.data2_GTTGCTCCAAATACAG-1", "d1.data2_ACTTTCAAGCTGAAAT-1", "d1.data2_ACATTTCGTGGCTGAA-1", "d1.data2_CAACGATGTAGGTACG-1", "d1.data2_CCTCAGTGTGTTCCAA-1", "d1.data2_TCGATTTTCAACGCTA-1", "d1.data2_GTGTAACCACAGTATC-1", "d1.data2_GTAGCTAGTAGCCAGA-1", "d1.data2_AGGGTGAAGGCTAGCA-1", "d1.data2_AGAGCCCAGGAAGTCC-1", "d1.data2_CAATCGAAGTACCGGA-1", "d1.data2_ACGATGTCAGCCATTA-1", "d1.data2_TATGTTCTCTGGTGGC-1", "d1.data2_AGTAACCGTCGGCACT-1", "d1.data2_AGGAATAAGTCTCGTA-1", "d1.data2_TGGTGATGTGTGCTTA-1", "d1.data2_GAAGCGAGTATGAGAT-1", "d1.data2_CGAGGCTTCAAACGTC-1", "d1.data2_AAAGGGCGTGAGTCAG-1", "d1.data2_TGTTACTCATTGCCGG-1", "d1.data2_AGGTAGGGTAGCTGCC-1", "d1.data2_AGTGCCGGTTCGATTG-1", "d1.data2_GGGTGAATCACTTCTA-1", "d1.data2_CGCATGGAGTCAACAA-1", "d1.data2_AGTTCGACAGAAGCTG-1", "d1.data2_AAGACTCCACGACGCT-1", "d1.data2_GAATCACTCCAAGAGG-1", "d1.data2_AGGGTGAGTCTTCGAA-1", "d1.data2_TCTGTCGAGTCATGGG-1", "d1.data2_CGAGGAAGTCACCGAC-1", "d1.data2_TGAGGAGGTCACCACG-1", "d1.data2_CCTCAACCAATAGGAT-1", "d1.data2_CCCAACTGTATCGTTG-1", "d1.data2_GGAACCCGTGTTGATC-1", "d1.data2_ACTGTGAGTGAGATAT-1", "d1.data2_AGTAACCAGACGACTG-1", "d1.data2_TACCTCGTCTTGCAGA-1", "d1.data2_TCCATCGGTCTTGAAC-1", "d1.data2_GGTAGAGGTAGAGTTA-1", "d1.data2_CTGATCCTCTGGGATT-1", "d1.data2_CACAGGCGTCTGTTAG-1", "d1.data2_CCGCAAGAGCTTTCTT-1", "d1.data2_GTATTGGGTCCACTCT-1", "d1.data2_CGTCAAAAGAGCAGTC-1", "d1.data2_GTGCACGAGGTTTACC-1", "d1.data2_GGTGAAGCACGCGGTT-1", "d1.data2_CTTGAGATCCTCAGGG-1", "d1.data2_CTGTGAACAAGTTCCA-1", "d1.data2_AAACCCACAAACTGCT-1", "d1.data2_TCGTGCTAGCTCCGAC-1", "d1.data2_TCATTACTCGGACCAC-1", "d1.data2_CATGCCTAGACTACCT-1", "d1.data2_CTGCTCATCGGTGCAC-1", "d1.data2_TGGAGGAAGATGACCG-1", "d1.data2_GCGTGCAAGCGATTCT-1", "d1.data2_CCATAAGCAAGTTGGG-1", "d1.data2_AGTCTCCAGAATAGTC-1", "d1.data2_AATGGAAGTACAGAAT-1", "d1.data2_ATACCGAGTGAGTAGC-1", "d1.data2_GCGATCGGTGCCCACA-1", "d1.data2_AGTTCGAGTAGTGATA-1", "d1.data2_CGAATTGAGCCTCTGG-1", "d1.data2_GCTGAATAGGAGATAG-1", "d1.data2_AAGGTAACAATCTCTT-1", "d1.data2_ATTTCTGCAGTCAGCC-1", "d1.data2_TGCTGAACACTTTAGG-1", "d1.data2_TCGTCCAAGGTGCCAA-1", "d1.data2_GAAATGATCTAACACG-1", "d1.data2_CCCAACTAGAGTGACC-1", "d1.data2_TTACGTTTCGACACCG-1", "d1.data2_TTGGGCGAGTGAGTGC-1", "d1.data2_TCATATCTCCCAAGTA-1", "d1.data2_AGTGATCAGCTCCCTT-1", "d1.data2_GTTCATTAGGCGAAGG-1", "d1.data2_TCTCCGAGTTCTAAGC-1", "d1.data2_GAATAGACATTCTCCG-1", "d1.data2_AGAGCAGCAATAACGA-1", "d1.data2_ACATGCACACATATCG-1", "d1.data2_CGAGTGCCAACTGCTA-1", "d1.data2_TTTACCAGTTAGGAGC-1", "d1.data2_GAAACCTCACAATGCT-1", "d1.data2_TCTGTCGCACTGCTTC-1", "d1.data2_TAGGTTGGTTCTTAGG-1", "d1.data2_TAACGACAGGAAAGAC-1", "d1.data2_CTTCCGAGTTCCGGTG-1", "d1.data2_CAGATACAGGAAAGTG-1", "d1.data2_CTACTATGTTCAGGTT-1", "d1.data2_GCAGCCAAGAATCGAT-1", "d1.data2_TCATTGTCACTGAGGA-1", "d1.data2_TGTGCGGTCTGAGCAT-1", "d1.data2_TCAGTCCCATGATGCT-1", "d1.data2_GCGGAAAAGTCATGGG-1", "d1.data2_GTGATGTCAGTTAGGG-1", "d1.data2_TTTACTGCAGTTCACA-1", "d1.data2_AGGGTGACACTAGAGG-1", "d1.data2_CAGATCACAGAGAATT-1", "d1.data2_TCGGATAGTGACCGTC-1", "d1.data2_GGGTCTGGTCCGAAAG-1", "d1.data2_CCCTTAGGTTCGCGTG-1", "d1.data2_ACATCGATCACTGGGC-1", "d1.data2_GCCAACGAGCCTATTG-1", "d1.data2_TCACGGGAGTAGTGCG-1", "d1.data2_ATCAGGTAGCCGCTTG-1", "d1.data2_TAAGCGTTCGTAGCTA-1", "d1.data2_TTTACGTTCGGTAACT-1", "d1.data2_TTCTGTAAGTCTTCGA-1", "d1.data2_CATTGTTGTTTCGATG-1", "d1.data2_GATAGAACAATCAGCT-1", "d1.data2_AGACACTAGGAGCTGT-1", "d1.data2_GATGACTTCTAAGGAA-1", "d1.data2_CGATGCGTCACCATGA-1", "d1.data2_TAGGTTGCAACCGGAA-1", "d1.data2_TCGGGACTCGATACGT-1", "d1.data2_TCATTGTAGTATTGCC-1", "d1.data2_CAAGCTATCGAGAAAT-1", "d1.data2_GACGCTGCACACGGTC-1", "d1.data2_TGCGGCAAGAGGTTAT-1", "d1.data2_CTTGAGAGTTGACTGT-1", "d1.data2_CCGATCTTCCGGCAGT-1", "d1.data2_TCGATTTGTACAGCGA-1", "d1.data2_TTTATGCCAGCTCGGT-1", "d1.data2_AATGGAAAGGAAAGGT-1", "d1.data2_TACGTCCAGGTCATAA-1", "d1.data2_TCCGTGTGTCGTCAGC-1", "d1.data2_GCAGCTGCATGTGACT-1", "d1.data2_CAGCAGCTCTGGACCG-1", "d1.data2_TGGATGTGTTGCGGCT-1", "d1.data2_AACGAAATCGTGGACC-1", "d1.data2_AAAGGTAAGGTTAGTA-1", "d1.data2_CTTGAGATCCAGCCTT-1", "d1.data2_GTGGTTATCTGCGGAC-1", "d1.data2_CGTTAGAGTAGCGTAG-1", "d1.data2_CACGGGTTCTCCTGAC-1", "d1.data2_TGTAGACAGGATGTTA-1", "d1.data2_TCTCACGTCTCACTCG-1", "d1.data2_AGAACCTGTGATGAAT-1", "d1.data2_GCATCGGTCCGCGATG-1", "d1.data2_AGACCCGAGAAGGCTC-1", "d1.data2_GAAATGACAGCACAAG-1", "d1.data2_CCAATTTCAGTGGGTA-1", "d1.data2_GTGCAGCAGGTGGTTG-1", "d1.data2_GGTCTGGTCGAGCCAC-1", "d1.data2_TGTCAGACAGGTTCGC-1", "d1.data2_ACAAAGAAGGCTCTAT-1", "d1.data2_AGGCATTCATCAGTCA-1", "d1.data2_GGGAAGTGTCAGACTT-1", "d1.data2_GATGTTGCAATCTCTT-1", "d1.data2_AAGCATCTCAAGCCTA-1", "d1.data2_CGGACACCATGTGCCG-1", "d1.data2_GTTACAGAGTTCGGTT-1", "d1.data2_CAACGGCTCTTGATTC-1", "d1.data2_TGGGATTAGTCATCCA-1", "d1.data2_GTCGTTCGTCACTTAG-1", "d1.data2_CATTGAGGTTATCTGG-1", "d1.data2_AGTGACTCATGGGAAC-1", "d1.data2_ACTTATCTCAAGGACG-1", "d1.data2_AGACAGGAGGCAGGGA-1", "d1.data2_TCATGAGCAATTGCAC-1", "d1.data2_AAGTACCGTTTGCAGT-1", "d1.data2_GGGATCCAGACATCAA-1", "d1.data2_TTTGTTGAGCACTGGA-1", "d1.data2_CTAGACATCGTCGACG-1", "d1.data2_GACGCTGTCCGTACGG-1", "d1.data2_CATACTTCAAGTTCGT-1", "d1.data2_ACCAAACAGTTTCGGT-1", "d1.data2_AGCCAGCCATGACACT-1", "d1.data2_TGAGGAGGTTCGTTCC-1", "d1.data2_TGGAGGAGTCCTGGGT-1", "d1.data2_CAGATTGTCTGTTCAT-1", "d1.data2_CCAAGCGTCATTGTGG-1", "d1.data2_TATTCCATCCCAATAG-1", "d1.data2_TACGGGCAGCGGATCA-1", "d1.data2_TGCCGAGGTGGAACAC-1", "d1.data2_TTGAGTGCACATTACG-1", "d1.data2_ACTACGAAGGATACCG-1", "d1.data2_GTTCATTGTATCGCTA-1", "d1.data2_TTGAGTGCAGACCATT-1", "d1.data2_AGGACTTGTCATACCA-1", "d1.data2_TAAGCGTGTTCACGAT-1", "d1.data2_TACTTGTGTCTACAGT-1", "d1.data2_GGTCACGTCTGTGCAA-1", "d1.data2_GCTCAAATCACCTTGC-1", "d1.data2_TTCTTCCTCGGTCTGG-1", "d1.data2_TCAATCTAGGAAGTCC-1", "d1.data2_CGTGAATGTCCACACG-1", "d1.data2_GAATAGATCCAACACA-1", "d1.data2_TCATCATAGGCATCTT-1", "d1.data2_CGTGCTTCAATGTCAC-1", "d1.data2_GTCTTTACACTTCCTG-1", "d1.data2_AGGTCTATCGAACCTA-1", "d1.data2_GACGTTAGTGGTTTAC-1", "d1.data2_AATCGTGGTTAAGTCC-1", "d1.data2_AGGTGTTGTTTACTTC-1", "d1.data2_ACTGCAACAGCCGTCA-1", "d1.data2_CCTAAGAGTATGGAAT-1", "d1.data2_CGCCATTCAGCGACAA-1", "d1.data2_GAATCGTCATACCAGT-1", "d1.data2_GTGAGGAAGCCACAAG-1", "d1.data2_GGTGGCTCATGGTACT-1", "d1.data2_AGTGTTGCAGCGCGTT-1", "d1.data2_TTTCGATTCATACAGC-1", "d1.data2_GTGTTAGCATTCTTCA-1", "d1.data2_TACAACGAGTAGGTTA-1", "d1.data2_GATTCTTTCGGTGCAC-1", "d1.data2_ATGCGATCAAATGGAT-1", "d1.data2_TATCTTGAGGAACTAT-1", "d1.data2_TCAAGACGTGCATACT-1", "d1.data2_CGTTAGATCGCCTTTG-1", "d1.data2_CCCAACTAGTAAGAGG-1", "d1.data2_CTGCGAGTCATGGGAG-1", "d1.data2_CTTAGGAAGGAGTACC-1", "d1.data2_ATTATCCTCGCAAGAG-1", "d1.data2_GAAATGAAGACCGCCT-1", "d1.data2_CACTTCGAGCGATTCT-1", "d1.data2_CCCATTGAGGCTTAGG-1", "d1.data2_TAACCAGTCCCTTCCC-1", "d1.data2_ATCATTCAGAACGTGC-1", "d1.data2_ACTTCCGCATCCAACA-1", "d1.data2_CTGTATTGTCAAATCC-1", "d1.data2_TCTACATAGATCCCAT-1", "d1.data2_ATTACCTAGATCGACG-1", "d1.data2_CGTCAAAAGTTCATGC-1", "d1.data2_AGGTCATTCGCGGTAC-1", "d1.data2_CCGTGAGGTCGAAGCA-1", "d1.data2_CTCAACCAGCTAGATA-1", "d1.data2_GGAGATGAGTCAGAGC-1", "d1.data2_GCCAGCAGTTACGGAG-1", "d1.data2_TGAATGCCACCTTCGT-1", "d1.data2_CAGCAATAGCAAGCCA-1", "d1.data2_ACCTACCGTACTCGCG-1", "d1.data2_AGGGTTTTCATCGGGC-1", "d1.data2_TTCTCTCGTTAAGGAT-1", "d1.data2_GTATTGGCAATTGTGC-1", "d1.data2_AGAACAATCGACTCCT-1", "d1.data2_AGGAATAGTGTCCATA-1", "d1.data2_TGTTCATTCCTCATAT-1", "d1.data2_TCTTGCGGTCCCGCAA-1", "d1.data2_TTTGACTTCCTGTAGA-1", "d1.data2_GTCATCCGTTTGCCGG-1", "d1.data2_ACTTCGCTCGGTGTTA-1", "d1.data2_TGTAACGTCATGACAC-1", "d1.data2_ATCCGTCCACGTCGTG-1", "d1.data2_CGGGTCAGTCGAGCTC-1", "d1.data2_GCCAGTGAGGACGGAG-1", "d1.data2_GATAGCTAGTCCTACA-1", "d1.data2_AGATAGACACCTTCCA-1", "d1.data2_TGCAGGCCATGTTTGG-1", "d1.data2_AGCATCATCGTCAGAT-1", "d1.data2_GCACTAATCTACGCGG-1", "d1.data2_AACCCAAAGGGCAAGG-1", "d1.data2_AGGGTGAAGTTAACAG-1", "d1.data2_CTCTGGTAGGATTTAG-1", "d1.data2_GTGGAAGCACCGTGAC-1", "d1.data2_GTCACGGAGTCAAGCG-1", "d1.data2_TAAGCGTAGTCATAGA-1", "d1.data2_TAGGGTTAGAGTGGCT-1", "d1.data2_TCCACGTTCAGCCTCT-1", "d1.data2_CTATCTACAGCTAACT-1", "d1.data2_GGTGATTCATGAGAAT-1", "d1.data2_GAGATGGCATGCCATA-1", "d1.data2_TTTCACATCCTCGCAT-1", "d1.data2_CCGATGGTCGGCTTGG-1", "d1.data2_ATTGGGTGTGGTTCTA-1", "d1.data2_TGGGAAGTCTATGTGG-1", "d1.data2_TCAAGCAAGGAGGTTC-1", "d1.data2_TGGAGAGAGATTAGAC-1", "d1.data2_TCATTGTGTCCTACAA-1", "d1.data2_CAACCTCTCTATACGG-1", "d1.data2_CATGCGGCAGCTATTG-1", "d1.data2_AATCACGGTGCGACAA-1", "d1.data2_CCGGTGAAGAATAGTC-1", "d1.data2_GGTGTCGTCGGTTCAA-1", "d1.data2_CACCGTTTCCGCCTAT-1", "d1.data2_CAAAGAAAGACTTCAC-1", "d1.data2_TTTCGATTCGGTAACT-1", "d1.data2_AGATAGAGTGCGAACA-1", "d1.data2_ATGAAAGTCTCCAAGA-1", "d1.data2_GGCTTTCCAGAAGCGT-1", "d1.data2_GAAGGGTAGCGCTGCT-1", "d1.data2_TCCCATGAGACATGCG-1", "d1.data2_CCCTGATAGTTTGAGA-1", "d1.data2_ATCGTAGGTCACCGCA-1", "d1.data2_AGGCTGCCAACGATTC-1", "d1.data2_ATTTCACAGTAAACGT-1", "d1.data2_TCCATCGGTCATCCCT-1", "d1.data2_TCTATCAAGTCATCGT-1", "d1.data2_GCCAGGTAGTCATTGC-1", "d1.data2_GACCCTTTCGCGCCAA-1", "d1.data2_ACCTACCAGGTCACAG-1", "d1.data2_CGAGGCTCAAATTGCC-1", "d1.data2_GTTGAACAGTATGACA-1", "d1.data2_TTCATTGTCGCTGTCT-1", "d1.data2_CTACTATAGTCTGCGC-1", "d1.data2_GTCCCATTCCGACATA-1", "d1.data2_GTTCGCTAGCAAATCA-1", "d1.data2_ACGTACAAGCGGACAT-1", "d1.data2_TAAGCCAAGTGTACAA-1", "d1.data2_TGAGGTTCATCTCGTC-1", "d1.data2_GTGGAGAGTCGGCTAC-1", "d1.data2_GATGAGGCACCGCTAG-1", "d1.data2_TCTATCAGTGTCATGT-1", "d1.data2_TGCGATACAACACGAG-1", "d1.data2_GTTCCGTAGACTTAAG-1", "d1.data2_GCACATAGTCATAACC-1", "d1.data2_GCTACAACACATATGC-1", "d1.data2_TAACGACCATCTTTCA-1", "d1.data2_ACCTGAACATCATCTT-1", "d1.data2_CTACCTGCACGTACAT-1", "d1.data2_ACTCTCGCAGTCTCTC-1", "d1.data2_CGAGAAGAGTAGTCAA-1", "d1.data2_CACATGATCTGTTCAT-1", "d1.data2_AGTGACTCATAGAATG-1", "d1.data2_AATGCCAAGAAGCCAC-1", "d1.data2_AGTACCACACTATCGA-1", "d1.data2_ACTATGGGTTGCCATA-1", "d1.data2_TGTGCGGGTGTTGACT-1", "d1.data2_TGACCCTAGGCAGGGA-1", "d1.data2_ATCGGATAGGTCTGGA-1", "d1.data2_AGTCAACAGATCCCGC-1", "d1.data2_CGCCATTCAGCAGTAG-1", "d1.data2_GATCAGTAGGTTCATC-1", "d1.data2_TTACTGTCAGGCAATG-1", "d1.data2_TCACGCTAGTAGACCG-1", "d1.data2_GAGCTGCGTTGCGTAT-1", "d1.data2_GGGACTCTCGTTTACT-1", "d1.data2_TGTTACTAGCTCTGTA-1", "d1.data2_GTCCACTGTCATCCCT-1", "d1.data2_CTGATCCGTTACCTGA-1", "d1.data2_AGGGTCCTCAGTCAGT-1", "d1.data2_CTCAATTGTGACAACG-1", "d1.data2_GTGGTTAGTCCAAAGG-1", "d1.data2_AGTCTCCGTCTTGCTC-1", "d1.data2_AGTAGTCCACTTGACA-1", "d1.data2_GTCAAACAGTATGAGT-1", "d1.data2_TAGGAGGGTCAACATC-1", "d1.data2_CTGCCATTCGCAATGT-1", "d1.data2_GTTTACTAGTCACTAC-1", "d1.data2_AGGCTGCAGGTGATCG-1", "d1.data2_TATTGCTTCACCTCTG-1", "d1.data2_TGACAGTGTGACACGA-1", "d1.data2_AGGATCTAGCCTTGAT-1", "d1.data2_CATAAGCGTCAGACTT-1", "d1.data2_TGGGATTAGTGCTAGG-1", "d1.data2_CCACACTCAGGACAGT-1", "d1.data2_GTGCTTCTCATCGTAG-1", "d1.data2_CCACTTGGTGTCTCCT-1", "d1.data2_ACTTATCCATACTTTC-1", "d1.data2_TCGACCTTCTCCAATT-1", "d1.data2_GCCCAGAGTAAGCGGT-1", "d1.data2_AATGACCAGGAGAGTA-1", "d1.data2_TGTTACTAGAGCTGAC-1", "d1.data2_ATCAGGTCAACGTATC-1", "d1.data2_CCTCACATCATCGACA-1", "d1.data2_ATCGGCGGTAACGCGA-1", "d1.data2_CACCGTTTCGTTCGCT-1", "d1.data2_TCCACGTTCCTTATAC-1", "d1.data2_TCGGATAGTTGCTTGA-1", "d1.data2_GAGTGAGGTTCCACGG-1", "d1.data2_GGGCCATGTTCCGCAG-1", "d1.data2_ATCAGGTTCCATAAGC-1", "d1.data2_CACGGGTCAGTCTGGC-1", "d1.data2_CAGTTCCAGATCACTC-1", "d1.data2_TGATGGTCAGTAGTGG-1", "d1.data2_CAACGATCACGGTGTC-1", "d1.data2_AGCGTATGTACGAAAT-1", "d1.data2_GACCCAGGTTTCCCAC-1", "d1.data2_CAACGATAGACAGCTG-1", "d1.data2_GTCTGTCAGGCACTAG-1", "d1.data2_GTTGTGATCTAGCCTC-1", "d1.data2_CAATTTCCAGCATCTA-1", "d1.data2_ACCACAAAGACCATTC-1", "d1.data2_CTCGAGGTCCCATTTA-1", "d1.data2_AGTAGTCCACCGGCTA-1", "d1.data2_ACCAAACAGCGTCTGC-1", "d1.data2_TGGGATTCACCCTAGG-1", "d1.data2_AGTCACAAGAGTCGAC-1", "d1.data2_ACCCAAAGTACCTAGT-1", "d1.data2_CATCGTCAGTCGGCCT-1", "d1.data2_GCACATAGTGGCTTGC-1", "d1.data2_AACGGGATCGCCACTT-1", "d1.data2_TGCATGAGTCATTCCC-1", "d1.data2_CATAAGCTCATGCATG-1", "d1.data2_AGGTTGTCAAATACGA-1", "d1.data2_CCTTCAGGTGCCTGAC-1", "d1.data2_TATGTTCCATGGGCAA-1", "d1.data2_CAATACGTCCCGGTAG-1", "d1.data2_GTCTTTAAGCGTGAGT-1", "d1.data2_TGTTGGATCGTGCACG-1", "d1.data2_CTGTACCCACTTCAAG-1", "d1.data2_CTCTCGATCTCCGCAT-1", "d1.data2_AGGATCTGTTACGATC-1", "d1.data2_CTACGGGCAAATCAGA-1", "d1.data2_TCAGCAATCGACACTA-1", "d1.data2_TCAAGACTCTGTAACG-1", "d1.data2_GCCGTGATCGGTCTAA-1", "d1.data2_CTACCTGTCCACGGAC-1", "d1.data2_ATAGACCCAGGACAGT-1", "d1.data2_CAGGGCTGTAAGAACT-1", "d1.data2_CCTCCAAAGCACGTCC-1", "d1.data2_GTCTAGAAGGTTAAAC-1", "d1.data2_ATTCCCGCAATTCTCT-1", "d1.data2_CTCATGCTCGAGCCTG-1", "d1.data2_TCATTCAAGCTCATAC-1", "d1.data2_CATAAGCCAGGAACCA-1", "d1.data2_TGGGCTGTCTAGAACC-1", "d1.data2_AAGTGAATCTCTGAGA-1", "d1.data2_AGCTCAATCGCAGATT-1", "d1.data2_TAGATCGCAATTGCAC-1", "d1.data2_GATGAGGCAGCGTGCT-1", "d1.data2_TCAATCTGTCTTCTAT-1", "d1.data2_TCAGTGACATTCAGCA-1", "d1.data2_TCCGGGATCCATACTT-1", "d1.data2_ACCCAAAGTGATCGTT-1", "d1.data2_CCACGTTTCATGAGAA-1", "d1.data2_ATCCATTTCCCAGGAC-1", "d1.data2_GCGGATCAGGGAGTTC-1", "d1.data2_GTAGGAGTCTCTGCCA-1", "d1.data2_ATATCCTAGCACCAGA-1", "d1.data2_TCTGGCTGTCTACAGT-1", "d1.data2_GTGATGTCAAACTAGA-1", "d1.data2_CATGCAACAACACTAC-1", "d1.data2_CTCAATTCAAGAATAC-1", "d1.data2_AGTACCATCAAGCCCG-1", "d1.data2_GGTGAAGGTCGAAACG-1", "d1.data2_GACAGCCGTTACCTGA-1", "d1.data2_CAGCAGCAGTGTTGAA-1", "d1.data2_TGTTGAGAGCTGACCC-1", "d1.data2_CGGAGAACACTTGAAC-1", "d1.data2_GGGCTACAGTGATTCC-1", "d1.data2_TGCGACGCACTGGCCA-1", "d1.data2_TCAGCCTTCTACTGAG-1", "d1.data2_CATGCCTTCTGTAAGC-1", "d1.data2_CAAGACTCAACGATTC-1", "d1.data2_GGGACAAGTATCTTCT-1", "d1.data2_TCTGGCTGTTCACGAT-1", "d1.data2_CGCATGGCAGCTAACT-1", "d1.data2_CCCTCAAGTGCCTTCT-1", "d1.data2_TTGCTGCCACTCTCGT-1", "d1.data2_ACCCAAACAACCAACT-1", "d1.data2_TACCCACTCACATCAG-1", "d1.data2_CCTGCATAGGCTTAAA-1", "d1.data2_AGTTAGCCATAGGAGC-1", "d1.data2_TGTTCCGAGGCGCTCT-1", "d1.data2_CCTTCAGTCCATATGG-1", "d1.data2_CACTAAGTCGTAGAGG-1", "d1.data2_ATGAGTCAGCGACTTT-1", "d1.data2_CCCTCAATCCAACTAG-1", "d1.data2_GGAGAACAGTAACGTA-1", "d1.data2_ATTCACTTCCTTCTGG-1", "d1.data2_GTACAACTCTCTTCAA-1", "d1.data2_CACTGAAAGTATGTAG-1", "d1.data2_ATCCTATGTGATTCTG-1", "d1.data2_GACTTCCTCGTGAGAG-1", "d1.data2_GCGTGCACACAGTGTT-1", "d1.data2_AGACTCATCTGCCTGT-1", "d1.data2_CATGCGGTCGGTTGTA-1", "d1.data2_CATAAGCAGTTTCGAC-1", "d1.data2_TATCGCCCAATGACCT-1", "d1.data2_CTAGACATCTCCAAGA-1", "d1.data2_GTCCACTTCGGTCGGT-1", "d1.data2_CATCCGTAGGTTAAAC-1", "d1.data2_AATGGCTAGCAAATCA-1", "d1.data2_ACTGTCCAGGTTTACC-1", "d1.data2_ACAAGCTCAAAGGCGT-1", "d1.data2_CATGAGTCAACCTATG-1", "d1.data2_TACCCACTCGTGCGAC-1", "d1.data2_GATCACATCACCGGGT-1", "d1.data2_CACAGGCAGCCAGTAG-1", "d1.data2_CATAAGCTCATCACTT-1", "d1.data2_TCGTAGATCCATTTCA-1", "d1.data2_CCTCCTCCACGAAAGC-1", "d1.data2_CTCCCAAGTAAGTCAA-1", "d1.data2_TCACACCCAGATACCT-1", "d1.data2_CAACAGTAGTGCACTT-1", "d1.data2_GCACGGTTCAGGCGAA-1", "d1.data2_TCTCACGTCCTACAAG-1", "d1.data2_CCTCAACCACTTTATC-1", "d1.data2_CCTGCATGTGCCTTCT-1", "d1.data2_AGCCACGTCCTACAAG-1", "d1.data2_AACCATGGTGGCAACA-1", "d1.data2_ATTCCCGTCCATGCAA-1", "d1.data2_GAACACTCACAACATC-1", "d1.data2_AAGACTCCACGATAGG-1", "d1.data2_TTCGCTGGTTGTTGCA-1", "d1.data2_CCTTCAGGTGCCCTTT-1", "d1.data2_AACTTCTGTACGTGTT-1", "d1.data2_CTTCTAATCTCTTGCG-1", "d1.data2_TCCGGGATCACGATCA-1", "d1.data2_GTAACACAGAGTCGAC-1", "d1.data2_AACCTTTGTCCGCAGT-1", "d1.data2_GTGGTTAAGAATCCCT-1", "d1.data2_GTTACCCCAAACTAAG-1", "d1.data2_TTTCCTCTCTCCCAAC-1", "d1.data2_CCTCACAGTGGCTACC-1", "d15.data_AGACCATGTAAGATAC-1", "d15.data_TCAATTCGTTAAGACA-1", "d15.data_GTGAGGATCGCCTAGG-1", "d15.data_CTCCAACTCATCCTAT-1", "d15.data_TTCACGCGTCCCGGTA-1", "d15.data_TCACACCGTGGCGCTT-1", "d15.data_GGTAGAGTCACCTCGT-1", "d15.data_CGAGTGCGTCCAGCGT-1", "d15.data_CGAAGTTGTTCGGCTG-1", "d15.data_AAGCGAGTCTGCGTCT-1", "d15.data_AATGGCTTCTGACGCG-1", "d15.data_ATCGGCGCAACTGTGT-1", "d15.data_TCGTGCTTCCATGATG-1", "d15.data_CCGTGAGTCGCGTAGC-1", "d15.data_ACACTGATCCTGGCTT-1", "d15.data_TCGTGCTCAACGTTAC-1", "d15.data_TTTGACTCAGTCGGTC-1", "d15.data_TTCATGTAGAGTTGCG-1", "d15.data_ATGGATCAGCTAGAAT-1", "d15.data_AAGTGAAAGTTGTCGT-1", "d15.data_GTGACGCAGAGCATCG-1", "d15.data_TCACGGGGTAGGGAGG-1", "d15.data_TCTAACTTCTCTATGT-1", "d15.data_AGAGCAGGTTCGAAGG-1", "d15.data_GTCAAGTAGATGGTCG-1", "d15.data_TGCTTCGAGGGAGTTC-1", "d15.data_AGCGCTGCAGAGGTTG-1", "d15.data_TCGTGGGCAGTCGCTG-1", "d15.data_AGAGCAGTCGCATAGT-1", "d15.data_AAATGGAAGCGTCAAG-1", "d15.data_TGCTTGCTCTGGGTCG-1", "d15.data_AGAGAATAGCCTCCAG-1", "d15.data_TAGGTACTCAGTGGGA-1", "d15.data_CCGATCTCAGAAGCGT-1", "d15.data_TACTTCAAGAGTCGAC-1", "d15.data_GAGTGAGAGGTAACTA-1", "d15.data_GTAGGAGTCAGTGTTG-1", "d15.data_CTGTCGTGTCGACTTA-1", "d15.data_TCCGTGTGTGGGCTCT-1", "d15.data_TGTGATGTCGTGAGAG-1", "d15.data_TAGGTTGAGATCCCAT-1", "d15.data_TCGACCTCAGGACATG-1", "d15.data_ACTGATGAGGTTGGTG-1", "d15.data_ATTCGTTGTAGACTGG-1", "d15.data_GTCGTTCAGGCCTAGA-1", "d15.data_AGTCACAAGTGTAGAT-1", "d15.data_TATGTTCGTCTCAAGT-1", "d15.data_CCGTAGGAGGCAGTCA-1", "d15.data_TCGGGTGAGTCATCCA-1", "d15.data_TCGTGCTTCCATTTAC-1", "d15.data_CATGCAAGTAGAGCTG-1", "d15.data_GATCATGGTTGAGAGC-1", "d15.data_CCTCTCCTCGGTCGAC-1", "d15.data_ATTATCCAGAGTTGCG-1", "d15.data_TGACGCGTCGTAGTCA-1", "d15.data_CGAAGTTAGAGGTATT-1", "d15.data_AATGACCGTCGCTTGG-1", "d15.data_TCACACCCATGACGGA-1", "d15.data_TCAGCAAGTGAGTAGC-1", "d15.data_GAGCTGCGTCGCGTTG-1", "d15.data_AGAAGCGTCGTTCATT-1", "d15.data_TGGGCTGAGCGTTACT-1", "d15.data_TTTGACTCACATCCCT-1", "d15.data_ACTCTCGGTGAGCTCC-1", "d15.data_TATCTTGGTCCGGTGT-1", "d15.data_TGTGGCGAGTAACAGT-1", "d15.data_GCGATCGTCGCATAGT-1", "d15.data_TGGCGTGGTCGGTACC-1", "d15.data_CTGTGGGTCTCCAAGA-1", "d15.data_GGGTTATCAAGTGGGT-1", "d15.data_CCCTGATTCTAGATCG-1", "d15.data_TACGGGCTCAGGGATG-1", "d15.data_TCAAGCAGTCGGAAAC-1", "d15.data_GGGAGATTCAACCTTT-1", "d15.data_AGTGTTGGTTCTGAGT-1", "d15.data_GAGTCATGTAGCTAAA-1", "d15.data_TTGAGTGGTCCTTAAG-1", "d15.data_GGATCTAGTGAATGTA-1", "d15.data_GACCTTCGTTCCGCAG-1", "d15.data_CGTGAATAGTTGGAAT-1", "d15.data_AGAACAAAGGTAGCAC-1", "d15.data_TATTTCGTCAGCTGAT-1", "d15.data_GATGTTGTCTGGGAGA-1", "d15.data_TCTCAGCAGAAAGCGA-1", "d15.data_ATCCGTCGTTTGATCG-1", "d15.data_GTCAAGTAGGCGAAGG-1", "d15.data_GAAGGGTGTCGTGTTA-1", "d15.data_AGGCTGCGTAGAGCTG-1", "d15.data_AGAGAATGTGATAGAT-1", "d15.data_TGTTCATGTCACGACC-1", "d15.data_GTAACACTCGTGGCGT-1", "d15.data_CTTCCTTAGTCTCCTC-1", "d15.data_TACCGGGAGCACAAAT-1", "d15.data_ATCGTGAAGTCATGGG-1", "d15.data_GTCATGATCCTCACGT-1", "d15.data_TGTTTGTAGACGGAAA-1", "d15.data_CTGGACGAGCTTCATG-1", "d15.data_TCCATGCGTCGAGATG-1", "d15.data_TTCAGGAGTGCACGCT-1", "d15.data_TCAGTGAAGGCAGTCA-1", "d15.data_GTCCTCACACGCCAGT-1", "d15.data_AGACTCAAGTTCATCG-1", "d15.data_GACACGCCACTCTAGA-1", "d15.data_TGGTGATAGTCGTCTA-1", "d15.data_GTAGTACAGTGCACAG-1", "d15.data_ATTGGGTAGGTTAGTA-1", "d15.data_AGCGATTAGTGTTCAC-1", "d15.data_AGCCAGCTCGTGTGGC-1", "d15.data_CGTGTCTGTAGGAAAG-1", "d15.data_GGTGTTAGTGTTAAAG-1", "d15.data_GTGCTTCCAGTCGAGA-1", "d15.data_CAGCCAGAGAGCGACT-1", "d15.data_CCATCACCAAGAGCTG-1", "d15.data_TCCACGTCATGGGAAC-1", "d15.data_TCATCCGAGAGCTGAC-1", "d15.data_GGGCGTTAGTGCAAAT-1", "d15.data_GGCGTCACAGGAACCA-1", "d15.data_ACGATGTAGCACACCC-1", "d15.data_TCGCTTGCAGCAGTGA-1", "d15.data_GACGCTGTCCTAGAGT-1", "d15.data_GACTGATAGTCAGCGA-1", "d15.data_CCATCACCATAGGAGC-1", "d15.data_GTCGTTCCATCATTTC-1", "d15.data_GCTTCACAGACGACGT-1", "d15.data_ATGAGTCAGTCTCTGA-1", "d15.data_CTAAGTGTCAGGAAAT-1", "d15.data_GGAGGTACACCAGTAT-1", "d15.data_GGCTTGGAGGCGTTAG-1", "d15.data_CATTCATCAGCGACCT-1", "d15.data_GCCAGTGTCGTTCGCT-1", "d15.data_TCTTTGAGTACAGGTG-1", "d15.data_GAGGCAAAGCCATTTG-1", "d15.data_CTACTATGTTGCGTAT-1", "d15.data_GTTACCCAGATACATG-1", "d15.data_TTTACTGAGCTTAAGA-1", "d15.data_GTCTCACGTAGGAAAG-1", "d15.data_CCTTCAGCAACGTATC-1", "d15.data_GCGTGCAGTCCTCCTA-1", "d15.data_AACGGGAGTGTATTCG-1", "d15.data_TCGACCTAGACGTCCC-1", "d15.data_GCTGCAGGTTGTCTAG-1", "d15.data_TCGGGCACACAATGTC-1", "d15.data_GATCCCTAGGCAGTCA-1", "d15.data_GTAGAAAAGTTAGTAG-1", "d15.data_AAGCGAGTCGTTCTAT-1", "d15.data_TGGGCGTCATCTTCGC-1", "d15.data_GTTCCGTGTTTATGCG-1", "d15.data_TAGGTTGGTTATGGTC-1", "d15.data_TTAGGCATCGCCTTGT-1", "d15.data_AGACTCAGTGAAAGTT-1", "d15.data_TTGTGGAGTACCAGAG-1", "d15.data_GACATCAAGCGCCGTT-1", "d15.data_GACGTTAGTCTCGGGT-1", "d15.data_GGAGAACAGGTGCCAA-1", "d15.data_ACTTCCGTCGAATCCA-1", "d15.data_TCATACTGTCTTCATT-1", "d15.data_TGTTGGACAGAGAAAG-1", "d15.data_ACGTAACGTATGGTAA-1", "d15.data_GAAGGACCAGCCCAGT-1", "d15.data_CGATCGGCATGACCCG-1", "d15.data_CCGTAGGAGGAACGAA-1", "d15.data_GATCACACAAGCAGGT-1", "d15.data_GATAGAATCGCCGAGT-1", "d15.data_ACAGAAATCTCCGTGT-1", "d15.data_ACTTATCGTGTCGATT-1", "d15.data_CTGATCCTCGAGAGAC-1", "d15.data_TAAGCGTTCGTCGGGT-1", "d15.data_GTGGCGTAGCCTTCTC-1", "d15.data_TATCGCCGTGTGCCTG-1", "d15.data_TATTCCATCGAACGCC-1", "d15.data_AGGGTCCAGGTCGTGA-1", "d15.data_GTCTCACCACAACGTT-1", "d15.data_TGAGCGCGTACCGGAA-1", "d15.data_AGAGCAGTCGGAATTC-1", "d15.data_CAATTTCTCATGGTAC-1", "d15.data_GAAGAATGTGACTCTA-1", "d15.data_TCATGGAGTGAACCGA-1", "d15.data_ATCATTCAGCTCGCAC-1", "d15.data_CGGAATTTCCTCAGGG-1", "d15.data_GAAGAATGTCTCACAA-1", "d15.data_GGTTAACCACTGCACG-1", "d15.data_TATCCTATCATTCTTG-1", "d15.data_ACTGTCCGTGATGAAT-1", "d15.data_TAAGCCAGTTTGATCG-1", "d15.data_CACGGGTAGCAGTACG-1", "d15.data_ATTCCTAGTTGTGGAG-1", "d15.data_GCACGGTCACACGGTC-1", "d15.data_AGCTTCCAGGTGATCG-1", "d15.data_GGGTCTGGTCTAGGCC-1", "d15.data_TTAGTCTTCTTACCAT-1", "d15.data_GTCAAGTCATCTTCGC-1", "d15.data_CTGAGGCAGAACAGGA-1", "d15.data_TTCATTGGTAGAGGAA-1", "d15.data_CTTCTCTGTCGAATTC-1", "d15.data_GCCAACGCACTAAACC-1", "d15.data_AGGATAACATTCGATG-1", "d15.data_TTCCTTCGTTTGATCG-1", "d15.data_TTTCGATAGAGAGTGA-1", "d15.data_GTTAGTGGTAACAAGT-1", "d15.data_ATGAGGGAGCTAGATA-1", "d15.data_ATGTCTTGTTTCGATG-1", "d15.data_GAATCGTTCGTAGAGG-1", "d15.data_TCTTCCTCACAAATCC-1", "d15.data_AGGGTTTGTTGTTGAC-1", "d15.data_GGGTGTCCATTGAGGG-1", "d15.data_ATAGGCTCATACAGGG-1", "d15.data_GAGCTGCTCGTAGTGT-1", "d15.data_GAGGGTATCTGGCTGG-1", "d15.data_CGCCAGATCGGAAACG-1", "d15.data_ACATCCCTCAAGGACG-1", "d15.data_AGAGCCCTCGTTAGAC-1", "d15.data_CAAGAGGTCAGACAAA-1", "d15.data_GACAGCCCAGGTGGAT-1", "d15.data_TGGATCACACAAGTGG-1", "d15.data_GGAGCAACAATTTCTC-1", "d15.data_AATCGTGAGATGGCGT-1", "d15.data_TACTTGTGTATCGTTG-1", "d15.data_CGATGGCTCGCTCCTA-1", "d15.data_TCTCTGGAGATTGCGG-1", "d15.data_CATACAGAGCCGTAAG-1", "d15.data_AGACTCAGTCGGTAAG-1", "d15.data_ACTATTCGTAGTCGTT-1", "d15.data_CATCGGGTCGATGCTA-1", "d15.data_TGGGCGTTCGTTCCTG-1", "d15.data_AAGTCGTGTCAGTCTA-1", "d15.data_TTTGGTTAGATCCCAT-1", "d15.data_GCACGTGGTCGGCTAC-1", "d15.data_TTGATGGTCGGAGCAA-1", "d15.data_CTGCAGGGTTGCCTAA-1", "d15.data_TATATCCAGGTGAGCT-1", "d15.data_TAGATCGCATTCAGGT-1", "d15.data_ATCACAGAGCAGGCAT-1", "d15.data_CTACATTCAGACACAG-1", "d15.data_CCTATCGGTACATTGC-1", "d15.data_GTCGTTCTCCATTGCC-1", "d15.data_GTCGTTCCATCGTGCG-1", "d15.data_AATCACGTCGTAGAGG-1", "d15.data_ATGGGTTAGGGATCAC-1", "d15.data_CTGTGGGGTATGGGAC-1", "d15.data_TTGGGATGTATAATGG-1", "d15.data_CTTTCAACAGTCGCTG-1", "d15.data_GGGATGAGTTAGAAGT-1", "d15.data_AGTTAGCGTGTTGATC-1", "d15.data_TTGCATTTCCATGCAA-1", "d15.data_CAGGGCTAGCAGCAGT-1", "d15.data_AATCGACAGCGCTGAA-1", "d15.data_GTCTAGACAACATCGT-1", "d15.data_TACCGAAGTGGAAGTC-1", "d15.data_CAGTGCGGTCAAGCCC-1", "d15.data_TTGCCTGTCAAGCGTT-1", "d15.data_CATGGTAGTTGCGGAA-1", "d15.data_CATTTCATCGGTCAGC-1", "d15.data_GTGTCCTGTTTCGTAG-1", "d15.data_CCCTTAGTCTCGACGG-1", "d15.data_GATTCGACACTACCCT-1", "d15.data_ATCAGGTTCTGTACAG-1", "d15.data_AAACGCTGTGGATGAC-1", "d15.data_AGGCATTAGGCTATCT-1", "d15.data_CGGGTGTGTGGCTACC-1", "d15.data_GAGTGAGAGCAGAAAG-1", "d15.data_GTCAGCGGTGCTCGTG-1", "d15.data_CATACAGCAATCGCAT-1", "d15.data_AACAGGGAGATCCCAT-1", "d15.data_TGTGTGATCTCTGCCA-1", "d15.data_ATGCCTCGTAAGATAC-1", "d15.data_CATGCTCGTGCATGAG-1", "d15.data_ATCACGACACGACTAT-1", "d15.data_CTTGATTGTTGTGCAT-1", "d15.data_CTATAGGGTGATGAAT-1", "d15.data_AGTAGCTAGTGATAAC-1", "d15.data_CCTCCTCTCGAAACAA-1", "d15.data_AATGAAGGTTTAGAGA-1", "d15.data_GAATCGTGTGTGAGCA-1", "d15.data_TCAAGTGCACCAGACC-1", "d15.data_ACGTCCTGTCTTGCGG-1", "d15.data_GTCAGCGTCACTGGTA-1", "d15.data_TGTGAGTAGGAACGCT-1", "d15.data_TCCGAAAAGTCGAGGT-1", "d15.data_CATGAGTGTTAATGAG-1", "d15.data_TACCGAAGTCATCAGT-1", "d15.data_CGTTCTGAGAAGCGAA-1", "d15.data_TGGTACACAATGTCAC-1", "d15.data_TGCTTGCCAAATGGAT-1", "d15.data_GTGGAAGTCGACGAGA-1", "d15.data_ACGTAACCAGCTCTGG-1", "d15.data_GATGGAGCATGCCGAC-1", "d15.data_TGGGCTGTCATGCCAA-1", "d15.data_TAACACGTCTTAGCAG-1", "d15.data_AGCTACACATAGTCAC-1", "d15.data_CCTTCAGTCTCGTTTA-1", "d15.data_TAGGAGGGTTCGGACC-1", "d15.data_TTTGTTGGTGACTCGC-1", "d15.data_ATGATCGGTAGCTGAG-1", "d15.data_ACTACGAGTCCGTACG-1", "d15.data_GGTGAAGAGGCACCAA-1", "d15.data_TGTTCCGCAGAGTCAG-1", "d15.data_ACCAAACAGTGTACCT-1", "d15.data_GTGCGTGCAGCGAACA-1", "d15.data_CCTGTTGTCTGCTTAT-1", "d15.data_CGGAACCCACAGCTTA-1", "d15.data_GCCCGAACACATTACG-1", "d15.data_TGCGATAAGCTGAGTG-1", "d15.data_CTTAGGACAGCGTGAA-1", "d15.data_CAATCGAAGCGACCCT-1", "d15.data_ATGTCCCGTCGAACGA-1", "d15.data_GTGCGTGGTTACAGCT-1", "d15.data_AGGAGGTCAGGCTACC-1", "d15.data_GAATCGTGTGGACAGT-1", "d15.data_ACGTACATCGTGGCTG-1", "d15.data_GAGACTTCACGGTAGA-1", "d15.data_TATTGGGCAAGCTGTT-1", "d15.data_TCAAGCACAGGAGGTT-1", "d15.data_ATAGGCTCAAATTGGA-1", "d15.data_CTTGATTTCATCGTAG-1", "d15.data_GCCGTGAGTAATGCTC-1", "d15.data_TCGCTTGAGATGATTG-1", "d15.data_CCTCATGTCCGTCCTA-1", "d15.data_AGGACTTTCTCCGTGT-1", "d15.data_GTTGTCCGTTAAGAAC-1", "d15.data_TTCCGGTTCGACTCCT-1", "d15.data_CATCCCAAGTGGAAGA-1", "d15.data_CAGATACGTGAGGAAA-1", "d15.data_CATCCGTGTGTCCGGT-1", "d15.data_GACGCTGGTCTGATCA-1", "d15.data_AGGGTGACATTACGGT-1", "d15.data_AGCATCAGTTAGGCTT-1", "d15.data_TTTCCTCCAAGAGTAT-1", "d15.data_CAGGTATGTCTTTCTA-1", "d15.data_TCAGGTATCAACACCA-1", "d15.data_TCGCACTCAGAACTCT-1", "d15.data_CTAACTTAGCTTGTGT-1", "d15.data_ATTTCTGCACTCATAG-1", "d15.data_ACACTGATCGTTGTAG-1", "d15.data_GGGATCCTCTAGAACC-1", "d15.data_TTGCCTGGTTAAAGTG-1", "d15.data_TGGCGTGGTGGTACAG-1", "d15.data_ACCTGAACAGTAGAGC-1", "d15.data_TCTCAGCCAATGCAGG-1", "d15.data_GGCTGTGAGCCTGTGC-1", "d15.data_GCTTTCGAGGAAAGGT-1", "d15.data_GGGACCTCAGCCGGTT-1", "d15.data_CTACATTCAAGTCGTT-1", "d15.data_GTAAGTCCAGGTCAGA-1", "d15.data_GAAGTAACACTGTGTA-1", "d15.data_CCCGGAAAGACCATTC-1", "d15.data_TGGGAAGAGACTTAAG-1", "d15.data_GTGTCCTGTCACGACC-1", "d15.data_CTAACTTAGTACCCTA-1", "d15.data_GAGGGATTCCAAGAGG-1", "d15.data_AGTTCCCGTAGTACGG-1", "d15.data_ACGATGTGTAAGGTCG-1", "d15.data_TGGGATTGTAGAGTTA-1", "d15.data_AATTTCCAGTCTTGGT-1", "d15.data_CACGGGTCAGTCAGCC-1", "d15.data_ACGGAAGAGATGCTGG-1", "d15.data_ACTGATGAGTCAACAA-1", "d15.data_TCTAACTTCCCATGGG-1", "d15.data_TTCAATCTCTGTAAGC-1", "d15.data_GACCGTGCAAGAAACT-1", "d15.data_TTTACTGTCTCGAACA-1", "d15.data_TCAGTCCAGATCGCCC-1", "d15.data_GGTAATCCATGATGCT-1", "d15.data_CTTACCGCATGTGACT-1", "d15.data_TCGCACTTCCTGGGAC-1", "d15.data_ATTCCCGGTGCAGTGA-1", "d15.data_GAGGGTACATACACCA-1", "d15.data_GCCAACGGTTGCAAGG-1", "d15.data_TCGTCCAAGGGCAGTT-1", "d15.data_TAGGTACAGCGTGTCC-1", "d15.data_TGTTCCGAGCCTGAAG-1", "d15.data_TCGAACAGTTGCAAGG-1", "d15.data_CCACTTGAGGAAAGAC-1", "d15.data_GTCCCATTCTATTGTC-1", "d15.data_TGAGCATGTTAGAGAT-1", "d15.data_GCTCAAAAGAGCAAGA-1", "d15.data_GTGGTTAGTGTAACGG-1", "d15.data_AGGGTTTCACACACTA-1", "d15.data_GCGTTTCGTGACGTCC-1", "d15.data_TGTCCACTCCAGCAAT-1", "d15.data_ATGAGTCCAGACAAAT-1", "d15.data_ATGCCTCCACGCAAAG-1", "d15.data_CAGCAATGTGACAGGT-1", "d15.data_GTTCTATCAGAGCCCT-1", "d15.data_TCTAACTAGATGAAGG-1", "d15.data_AACAAGACATCCGGCA-1", "d15.data_CCGAACGCAGTACTAC-1", "d15.data_TAATTCCGTATCGTTG-1", "d15.data_TGCTGAACAAGTCGTT-1", "d15.data_GTCTGTCTCAGTGTGT-1", "d15.data_GGGACAAGTTTCGTAG-1", "d15.data_CTCAGGGAGCCATTTG-1", "d15.data_GATTGGTTCGTCACCT-1", "d15.data_CTCATGCTCAATCCAG-1", "d15.data_GTTGTAGAGATCGCCC-1", "d15.data_CGCAGGTGTGCTAGCC-1", "d15.data_TCATGAGGTCATATGC-1", "d15.data_GTAATCGCAGGTCCGT-1", "d15.data_AATGAAGGTTGGGACA-1", "d15.data_AGGATCTCAATACGAA-1", "d15.data_GGGTCTGTCCGTTGAA-1", "d15.data_GTAGGAGGTGATTCAC-1", "d15.data_GTGGAGAGTCAACACT-1", "d15.data_TACTTCAGTACAACGG-1", "d15.data_ATCGTGAAGTCCCGGT-1", "d15.data_GTGGCGTAGTCGAAAT-1", "d15.data_ACGATGTGTGCGCTCA-1", "d15.data_TCCTCCCTCTAAGAAG-1", "d15.data_CGTAAGTCACGGGTAA-1", "d15.data_CGCAGGTCAGGTGAGT-1", "d15.data_GCAGTTAAGGTCACAG-1", "d15.data_AGGGAGTTCAGTGCGC-1", "d15.data_CATGAGTCATTGCCTC-1", "d15.data_GTGAGGATCTGAGGTT-1", "d15.data_ATACCTTTCGTAGCCG-1", "d15.data_GGAATGGGTATCAGCT-1", "d15.data_TGAGGAGCAAGAAACT-1", "d15.data_ACGTAGTAGAGTGACC-1", "d15.data_TTTGTTGAGGAGGGTG-1", "d15.data_TAGTGCAAGCCACCGT-1", "d15.data_CACACAAGTGTACAGG-1", "d15.data_GCCTGTTCAGCGTATT-1", "d15.data_GGAAGTGTCATTTGGG-1", "d15.data_TGGAGGAGTCCACTTC-1", "d15.data_AGGGCCTTCTGGGCGT-1", "d15.data_GGTGTTATCATTTGGG-1", "d15.data_GCCAGTGGTGTACGCC-1", "d15.data_GTTCGCTCAGAAATTG-1", "d15.data_ATCGCCTGTGTGCCTG-1", "d15.data_TTTGGAGAGCGACTAG-1", "d15.data_TCGCAGGTCCTCTAGC-1", "d15.data_TTAGGGTCACCTGAAT-1", "d15.data_CTCTCAGCAGTATTCG-1", "d15.data_TCTCCGAAGCTCGGCT-1", "d15.data_CATGAGTCAGAAGTTA-1", "d15.data_AGGAAATTCGTCGATA-1", "d15.data_TTAATCCCATAATCGC-1", "d15.data_TAAGCGTAGTATCTGC-1", "d15.data_CGTCAAACATTCAGGT-1", "d15.data_AACCACAGTAGTTAGA-1", "d15.data_CGAGGCTAGGTTGAGC-1", "d15.data_TACGTCCGTAGCACAG-1", "d15.data_AGACAGGGTGTAAATG-1", "d15.data_CGGGCATCAGAGTGTG-1", "d15.data_GCGGAAAGTCGGATTT-1", "d15.data_AACAAAGAGATAGCTA-1", "d15.data_TTAGTCTAGAGGTGCT-1", "d15.data_GTCTTTAGTGGTACAG-1", "d15.data_AATGGAAAGGGTCTTT-1", "d15.data_GAGGCAATCGTGCGAC-1", "d15.data_ATGGATCGTGCATGAG-1", "d15.data_TGTTGGAAGTGGAAGA-1", "d15.data_GCAACCGCAGTGTACT-1", "d15.data_TCCGGGAGTAAGGTCG-1", "d15.data_TCAGCAAAGATCGCTT-1", "d15.data_GTGCTTCCACGGTAGA-1", "d15.data_CGAGTTACAGAGAAAG-1", "d15.data_ATTCATCGTTAAAGTG-1", "d15.data_ACCCTTGTCTACGGTA-1", "d15.data_ACTTTGTAGCGTGTCC-1", "d15.data_GAAACCTGTCCCTGAG-1", "d15.data_TGCTCCAGTTCAGCGC-1", "d15.data_CTGGACGAGAAGCGCT-1", "d15.data_CACGAATCACAGTGAG-1", "d15.data_CGAGGAAAGATAGTCA-1", "d15.data_GTGTTCCCATTGTCGA-1", "d15.data_GCGGAAAAGTATCTGC-1", "d15.data_CTGTAGAAGTGACACG-1", "d15.data_AGTCACAAGTGGAATT-1", "d15.data_GGAGAACTCCAGCCTT-1", "d15.data_CGTTGGGTCCTAACAG-1", "d15.data_AGAAGCGGTGACACGA-1", "d15.data_AGCTTCCAGTCTGGAG-1", "d15.data_GGAGGTACATAGCACT-1", "d15.data_GGCTTGGTCCACTTTA-1", "d15.data_TTCCTTCTCTTGGCTC-1", "d15.data_TGCGGCATCAGGACGA-1", "d15.data_CATAGACCAAATACAG-1", "d15.data_AGAGAGCAGACCATGG-1", "d15.data_CTATAGGAGCTACTGT-1", "d15.data_CCTGTTGGTAGATTGA-1", "d15.data_CGTTGGGGTTTGAAAG-1", "d15.data_ACATCGAAGGAACTAT-1", "d15.data_TCGGATATCGGCCCAA-1", "d15.data_GAATAGAGTTGTGGAG-1", "d15.data_TGTAGACAGGGAGTTC-1", "d15.data_AGAAGTAGTCGCACAC-1", "d15.data_CACAACATCTAACGGT-1", "d15.data_ACGATCAAGTGGATTA-1", "d15.data_TCGTGCTCACAACGAG-1", "d15.data_CAGTTCCGTAGGCAGT-1", "d15.data_TAATCTCAGACTGTTC-1", "d15.data_AGCTCAATCAACTGAC-1", "d15.data_GCATGATAGGCCACTC-1", "d15.data_CATGCGGAGCAGTACG-1", "d15.data_TGTTCTAGTGACCTGC-1", "d15.data_TGGTAGTTCAGACATC-1", "d15.data_TCAAGTGAGGGCGAAG-1", "d15.data_CGAGGAATCACTTGGA-1", "d15.data_TTCCTTCGTTGCTAGT-1", "d15.data_GAAACCTAGGGCGAAG-1", "d15.data_AACAGGGAGATGCAGC-1", "d15.data_GTTTACTAGGTCCCGT-1", "d15.data_TGTTTGTGTAGCCCTG-1", "d15.data_ATTACTCGTATGACAA-1", "d15.data_AGCGATTAGCATCAGG-1", "d15.data_TGAGTCATCAATCGGT-1", "d15.data_AATAGAGTCGCATTAG-1", "d15.data_TAGACTGGTTGACGGA-1", "d15.data_TCCACGTTCAACCGAT-1", "d15.data_GATGAGGGTTGTAGCT-1", "d15.data_CGACAGCGTCTCAGAT-1", "d15.data_CATCGTCTCGAGAATA-1", "d15.data_ATTCACTCAGTCGGAA-1", "d15.data_TTGATGGCAGAACGCA-1", "d15.data_AGGATAAAGCATCCTA-1", "d15.data_CTCAGTCTCGGTTAGT-1", "d15.data_TTCAATCTCAAATGCC-1", "d15.data_TTTACCAAGCCTGAGA-1", "d15.data_TTCCTAAGTCTGTAGT-1", "d15.data_CATCGTCGTTGCTAGT-1", "d15.data_TGGAGAGTCAGGGATG-1", "d15.data_AGGAGGTTCTCTCAAT-1", "d15.data_ATGAAAGAGGACGCAT-1", "d15.data_AAGGAATAGGATACCG-1", "d15.data_GAGGCAAAGTACAGAT-1", "d15.data_GTCATTTGTAGTTCCA-1", "d15.data_GGGTCACAGATTGATG-1", "d15.data_CCGATCTGTATCAAGA-1", "d15.data_TTTACGTCAACGGCTC-1", "d15.data_TCCTGCAGTGGGCTTC-1", "d15.data_GTCGTAACACCTGCAG-1", "d15.data_TAGCACAGTTGGGCCT-1", "d15.data_GCACGTGCACTGAGTT-1", "d15.data_TAAGTCGCACTCCACT-1", "d15.data_CAGATACAGCAGCAGT-1", "d15.data_GGCACGTTCGGACTGC-1", "d15.data_GTGCAGCCAGACACAG-1", "d15.data_GTTGAACCATGGCCCA-1", "d15.data_TTGAGTGTCGCATGAT-1", "d15.data_CGGGACTCACGCTTAA-1", "d15.data_GTCAAGTAGGCATCGA-1", "d15.data_AAGCCATGTACAGTTC-1", "d15.data_TTGGTTTAGCAAACAT-1", "d15.data_TACCGAACAAGCAATA-1", "d15.data_TCCGAAATCTCGCTTG-1", "d15.data_TTCGGTCAGGTATAGT-1", "d15.data_GTGAGCCGTTATAGAG-1", "d15.data_CAGTTAGAGAACAGGA-1", "d15.data_AACCTTTTCACACCGG-1", "d15.data_ATCGGCGGTGTTGATC-1", "d15.data_ACCAAACTCATTTGCT-1", "d15.data_CTTTCGGAGGCCCACT-1", "d15.data_TCATTTGGTGGTAACG-1", "d15.data_TAGCACAGTTAGCGGA-1", "d15.data_TGCGGCACACGGATCC-1", "d15.data_ACAACCAAGTGGCAGT-1", "d15.data_TTTCAGTTCTCGTGAA-1", "d15.data_GCTCAAATCGTGCAGC-1", "d15.data_AGGCATTCAATGAACA-1", "d15.data_CATCCGTCAGATCCTA-1", "d15.data_CATCGTCGTTCCTAAG-1", "d15.data_CGTGTCTGTTACACTG-1", "d15.data_TGCGGGTGTCCTACGG-1", "d15.data_AAATGGAGTTTCGGCG-1", "d15.data_TACGGGCTCACCATGA-1", "d15.data_GATCGTATCAAATGCC-1", "d15.data_TCAATTCAGAACTCCT-1", "d15.data_ACGATGTGTTAACAGA-1", "d15.data_CGAGTGCGTTGTGGAG-1", "d15.data_GTGCACGCACTGTGTA-1", "d15.data_GTCTACCGTCGAGCTC-1", "d15.data_TCAGTGAGTGTTCCTC-1", "d15.data_GCAACATTCCAACTAG-1", "d15.data_CCTGCATCACAGCTTA-1", "d15.data_TGAGGTTGTTCTCACC-1", "d15.data_GTTACCCTCCTCAGAA-1", "d15.data_AGTCAACGTGCAATAA-1", "d15.data_CGGAACCGTTACGGAG-1", "d15.data_AGCGCTGAGGTTTGAA-1", "d15.data_GAAGGGTTCGATACAC-1", "d15.data_CTTCTCTTCAACTACG-1", "d15.data_GAGTGTTAGGATTACA-1", "d15.data_CGCATGGAGCAGGCTA-1", "d15.data_AGTGACTAGCATCAAA-1", "d15.data_TCAGCAAGTTGATCGT-1", "d15.data_AGTAACCGTGATTCAC-1", "d15.data_CATTCTAGTCAGACGA-1", "d15.data_CGATGGCGTAGGCAAC-1", "d15.data_GGGTTATAGTTACGGG-1", "d15.data_AGCTACAGTTGCATGT-1", "d15.data_TCATTTGGTCTTAGTG-1", "d15.data_CTTCTAAAGAAGTATC-1", "d15.data_CTATCTACAAGTGCAG-1", "d15.data_TCATGGAGTCTGTGTA-1", "d15.data_TAACCAGGTGACCGTC-1", "d15.data_AGAGAGCAGCAACCAG-1", "d15.data_CATCCACTCAGAGCAG-1", "d15.data_TCTGGCTCAACGATCT-1", "d15.data_TCAGGGCCACGGGCTT-1", "d15.data_CGAAGGACATACCAGT-1", "d15.data_GCCGATGCAAGTGGCA-1", "d15.data_CACTGGGGTGTTGAGG-1", "d15.data_GCCCGAAGTATTTCCT-1", "d15.data_CGTTGGGTCCATACAG-1", "d15.data_ACTCCCACAGGAGACT-1", "d15.data_TATCAGGCAACGAGGT-1", "d15.data_GACCGTGAGACAACAT-1", "d15.data_TTTCAGTGTCTTCAAG-1", "d15.data_GGCTTGGGTGCATGAG-1", "d15.data_AACTTCTTCCACGTCT-1", "d15.data_ACACGCGTCTCATGCC-1", "d15.data_AAGACAACAGAGTTCT-1", "d15.data_TTTACCAGTCGCATCG-1", "d15.data_TTCCTAAAGCGTCAGA-1", "d15.data_CTGCCATAGCCACCGT-1", "d15.data_TACTTGTCAGGTTCGC-1", "d15.data_GTAATCGGTAGAGACC-1", "d15.data_ACGGTCGGTCAAAGTA-1", "d15.data_GACCCAGAGGGCTAAC-1", "d15.data_CCGGTAGAGGTGATAT-1", "d15.data_CCTCAACCAGTAGTTC-1", "d15.data_TCATGTTTCCGTGGGT-1", "d15.data_TTGTTCAGTGCCTATA-1", "d15.data_AGAAATGCAGGCTACC-1", "d15.data_TCCTTTCGTAGTCCTA-1", "d15.data_GAGTTGTAGATGGCAC-1", "d15.data_ACTTCCGAGAGGACTC-1", "d15.data_GTGGAAGGTTGACTGT-1", "d15.data_GAGTTGTCAGGACGAT-1", "d15.data_GCCCAGACACTGTCGG-1", "d15.data_TTACAGGGTTGATGTC-1", "d15.data_TGTGAGTGTCATCGCG-1", "d15.data_TGGATCAAGACTAAGT-1", "d15.data_CGAGAAGCATGCGTGC-1", "d15.data_TGTGATGCAGCTAACT-1", "d15.data_ACACAGTGTGACCGAA-1", "d15.data_TCACTATCAAAGCGTG-1", "d15.data_ATGACCACATCAACCA-1", "d15.data_TGAGACTTCATCACAG-1", "d15.data_ATTGGGTGTCCAGGTC-1", "d15.data_TACGCTCGTGCCCAGT-1", "d15.data_ACGATGTAGGGCAATC-1", "d15.data_TTGCATTAGACATAAC-1", "d15.data_TTTCAGTGTCTGCGCA-1", "d15.data_TCTCCGAAGGATTACA-1", "d15.data_GGGACCTAGTGGAAGA-1", "d15.data_GTGTTCCCAACTGATC-1", "d15.data_TTCGATTCATCAGCAT-1", "d15.data_CAGATCACAGAGATTA-1", "d15.data_TACGGGCTCTGTCCCA-1", "d15.data_TAACACGAGCTAAACA-1", "d15.data_AATGAAGTCGCTTAAG-1", "d15.data_TCCCATGAGAAGAACG-1", "d15.data_AGACACTTCGTTGTAG-1", "d15.data_CATCGTCTCACTGTCC-1", "d15.data_GTAGAGGGTCGCATGC-1", "d15.data_ACCATTTTCGTAGAGG-1", "d15.data_CCTCTCCTCTGAGGCC-1", "d15.data_TTGCGTCCAGCTGAGA-1", "d15.data_TCCTGCATCGCTGATA-1", "d15.data_AGCGATTGTTAGCGGA-1", "d15.data_TCATATCCAAATCAAG-1", "d15.data_TCATTCATCACCATCC-1", "d15.data_CGAAGGATCTCTGCTG-1", "d15.data_ATAGAGAGTGTCCTAA-1", "d15.data_TCGAAGTGTAGCTGTT-1", "d15.data_CCGATCTAGATGTTAG-1", "d15.data_CGGACACTCCCAGCGA-1", "d15.data_AATCGTGGTTTCCATT-1", "d15.data_CAATCGATCGCTCTAC-1", "d15.data_GGGAGTACACGTCGTG-1", "d15.data_GTTACCCAGTTCATGC-1", "d15.data_TTTCGATAGTTAACAG-1", "d15.data_CTGGTCTTCATCGACA-1", "d15.data_GTAAGTCTCCGATCGG-1", "d15.data_CTCAGAAGTGCAACAG-1", "d15.data_TCACTCGTCCTACCGT-1", "d15.data_TTGTTGTGTTTCCCAC-1", "d15.data_GGGTGTCCAGCGTACC-1", "d15.data_CTTCTAAGTTATGACC-1", "d15.data_AAGCATCCACTACGGC-1", "d15.data_CAATTTCGTATGTCAC-1", "d15.data_GATAGCTGTCACTTAG-1", "d15.data_CTACCCAGTAACACGG-1", "d15.data_CTGGCAGTCTTCGTAT-1", "d15.data_TTTACCAAGTGATGGC-1", "d15.data_TATCTTGGTAACACCT-1", "d15.data_AGGCATTAGTTTCGGT-1", "d15.data_AGGGTGACAGGGACTA-1", "d15.data_AGCCAGCGTTGCGGCT-1", "d15.data_GACAGCCTCGTTCTCG-1", "d15.data_AGGTGTTCAGCTAACT-1", "d15.data_GGCAGTCGTGCGAACA-1", "d15.data_ACGGAAGTCTGACGCG-1", "d15.data_TCATGTTGTTGCTAGT-1", "d15.data_CTACAGATCCGCAAAT-1", "d15.data_GTATTGGAGGTAGTCG-1", "d15.data_AATCACGGTCACCGCA-1", "d15.data_GTTAGACAGGTTCCAT-1", "d15.data_GCCAGCACAGTGGTGA-1", "d15.data_AACCACAAGGGCCCTT-1", "d15.data_AGACTCAGTGCCTTCT-1", "d15.data_ACGGGTCTCCTACAAG-1", "d15.data_GACGTTAGTTCCGCGA-1", "d15.data_TCATACTAGCTCAGAG-1", "d15.data_ATTACCTGTTAGGCTT-1", "d15.data_AGAGCAGCAATGTCTG-1", "d15.data_AAGATAGCACGACCTG-1", "d15.data_AGGCCACTCAGTGTCA-1", "d15.data_CCCGAAGAGACCAGAC-1", "d15.data_GAGTTACCAGGTCAAG-1", "d15.data_AGTCATGTCTTCTCAA-1", "d15.data_GGGTTATCACACGCCA-1", "d15.data_TCGTAGAGTCATGGCC-1", "d15.data_GTTACGAAGTCTGCAT-1", "d15.data_ATTCAGGTCTTTCTAG-1", "d15.data_TCGTCCAGTGTACGCC-1", "d15.data_GGCAGTCTCCCAGCGA-1", "d15.data_ATCGATGCAGAGTTGG-1", "d15.data_TCCTAATCACTAAACC-1", "d15.data_ATTCATCAGGACTAAT-1", "d15.data_TTCCGGTTCGCGTAGC-1", "d15.data_CACGAATCAAGCCTGC-1", "d15.data_TTACAGGTCAGTGCGC-1", "d15.data_GGCAGTCTCCAGCCTT-1", "d15.data_TCTCCGATCATTACGG-1", "d15.data_ATTGGGTTCTGGACCG-1", "d15.data_CAGAGCCCAAGTGGAC-1", "d15.data_TGGCGTGCACAATGAA-1", "d15.data_AGACAAAAGAAGCGCT-1", "d15.data_ATTCCATCACAGGATG-1", "d15.data_ATCGTAGGTGTAGGAC-1", "d15.data_GGTGTCGGTGTTCATG-1", "d15.data_CTGCCATCAATTTCTC-1", "d15.data_CAGGGCTTCACGATCA-1", "d15.data_AGATAGAAGGGAGGCA-1", "d15.data_CTGCGAGCAATTCGTG-1", "d15.data_TGCATCCAGACCAAGC-1", "d15.data_TCGGTCTTCCGATTAG-1", "d15.data_TGATGGTGTAAGACCG-1", "d15.data_TTTGATCAGTGGAAGA-1", "d15.data_CTGGACGAGGTTGCCC-1", "d15.data_TCGCTCAGTGGTATGG-1", "d15.data_AGTTCGATCCACCCTA-1", "d15.data_AAAGAACTCTTCGTGC-1", "d15.data_AGAGCAGTCTAGACCA-1", "d15.data_ATGCGATTCAGAGTGG-1", "d15.data_GAGGGATAGTTGCCCG-1", "d15.data_GGATCTAGTCATACCA-1", "d15.data_GGAATGGAGGTTATAG-1", "d15.data_TCTCTGGAGATGTTCC-1", "d15.data_GCATCTCCAAGCCCAC-1", "d15.data_GTTGTAGAGTTGAAGT-1", "d15.data_ACACAGTCAGAGGCAT-1", "d15.data_CCGTTCACAGCTGTCG-1", "d15.data_GGCAGTCTCGTGGGAA-1", "d15.data_AATGCCAGTTCTCCTG-1", "d15.data_TGCGGCAGTGGTCTCG-1", "d15.data_TTGTTTGAGAGTCGAC-1", "d15.data_CTAGGTAAGCTGTGCC-1", "d15.data_ACGCACGAGTCGAGGT-1", "d15.data_CGGTCAGGTGCAACGA-1", "d15.data_GAGTTGTCATAGAAAC-1", "d15.data_TGGGAAGTCTTACGTT-1", "d15.data_TATTTCGGTAAGCGGT-1", "d15.data_TCGGGTGTCGATCCAA-1", "d15.data_TGTGCGGCATGTCTAG-1", "d15.data_AGACTCATCAGCTAGT-1", "d15.data_CTACCTGAGTAAACTG-1", "d15.data_CATCAAGAGCGTTCCG-1", "d15.data_CACGAATGTGCCGTTG-1", "d15.data_GAAATGACACCATTCC-1", "d15.data_CATTCTACAGATCCTA-1", "d15.data_TTGCGTCTCACGAGGA-1", "d15.data_CTACCTGGTTGCATGT-1", "d15.data_GAAGCCCGTTTGGGAG-1", "d15.data_TGACAGTAGACGACTG-1", "d15.data_CATTCTATCCACTGGG-1", "d15.data_TTGTTTGGTGAACCGA-1", "d15.data_TCACTATAGAGGCGTT-1", "d15.data_TTAGGCAGTATAGCTC-1", "d15.data_GCATTAGAGGACCCAA-1", "d15.data_TGTACAGTCTCCAAGA-1", "d15.data_ACCATTTCAACTGGTT-1", "d15.data_CACAGATTCGATACGT-1", "d15.data_GGACGTCAGGGAGGTG-1", "d15.data_GGAACCCTCGGTGTAT-1", "d15.data_GTGAGTTTCGGTCATA-1", "d15.data_TAGTGCAGTACGACAG-1", "d15.data_GAATCGTCAGTAGGAC-1", "d15.data_TGTCCCAGTAGTCACT-1", "d15.data_CCGGGTAAGCTACTAC-1", "d15.data_TGAGGAGAGCTGTCCG-1", "d15.data_TACCTGCAGGTCCCTG-1", "d15.data_TCCGGGAAGTTACGTC-1", "d15.data_GGGATGACATCAGCTA-1", "d15.data_AGTTAGCGTGTGTTTG-1", "d15.data_TCATACTTCAAGGCTT-1", "d15.data_GTACAGTGTTATCCAG-1", "d15.data_AGAACAAGTAGAATGT-1", "d15.data_TCTGGCTGTAGCGTCC-1", "d15.data_GGCTTTCTCGACGATT-1", "d15.data_AAGCCATGTGGAGAAA-1", "d15.data_TTTACCAAGTTGCTCA-1", "d15.data_CATCGTCAGCAATTAG-1", "d15.data_CAGGTATCACGCGTGT-1", "d15.data_ATTCTACTCTTTACAC-1", "d15.data_GAGTTACTCTTCGCTG-1", "d15.data_GTGATGTTCGGTAAGG-1", "d15.data_TTGAACGTCGGAGTGA-1", "d15.data_GTCTTTAAGTATGCAA-1", "d15.data_CTGAGGCAGCTCCACG-1", "d15.data_CGCGTGATCTGAGGCC-1", "d15.data_TCGTCCAGTCAGTCCG-1", "d15.data_GACAGCCGTTGCACGC-1", "d15.data_ACAGAAAAGTGATTCC-1", "d15.data_TGTTACTGTGGAGGTT-1", "d15.data_TGGAGGATCGTTATCT-1", "d15.data_CTACATTGTTAGGAGC-1", "d15.data_AGGACTTAGACCATAA-1", "d15.data_ACTTATCGTCCTACAA-1", "d15.data_GTGATGTAGCCTCTGG-1", "d15.data_TTTACCATCGGTGTAT-1", "d15.data_CACCGTTTCCTTGAAG-1", "d15.data_CATGAGTAGCATTGAA-1", "d15.data_ATCGATGCATCCCGTT-1", "d15.data_GGTTCTCCAAATGGCG-1", "d15.data_ATCGGATAGTTCTCTT-1", "d15.data_CAGATCACAGTCAGTT-1", "d15.data_GACTGATGTAGGGAGG-1", "d15.data_GGGTCACTCTTTCAGT-1", "d15.data_CATAAGCTCGGTCGGT-1", "d15.data_TGTAACGAGTCCCAAT-1", "d15.data_CATCGTCCACGTGTGC-1", "d15.data_AGTTAGCGTGGACAGT-1", "d15.data_TTGGTTTCAACGACTT-1", "d15.data_ATCTTCATCGTGTGGC-1", "d15.data_CCGTGAGTCGGCCAAC-1", "d15.data_CAATACGAGAACCCGA-1", "d15.data_ATAGACCTCTACTATC-1", "d15.data_GAAGGACTCCGTGTCT-1", "d15.data_GAAGGGTTCTTGATTC-1", "d15.data_ACTTTCACATTAAAGG-1", "d15.data_TCACACCAGAGCTGAC-1", "d15.data_CTCAGTCAGGAACGCT-1", "d15.data_GAATCGTAGCATGCAG-1", "d15.data_TGATGCAAGATTGCGG-1", "d15.data_TGGATGTGTTTCTATC-1", "d15.data_GCACGGTAGCTTCGTA-1", "d15.data_GGCAGTCGTCTTTATC-1", "d15.data_CCACGAGCACCAGCTG-1", "d15.data_TACCTCGTCGGAAACG-1", "d15.data_CGAGGAAAGATGAATC-1", "d15.data_TACGCTCCATCGCCTT-1", "d15.data_GATGATCAGCCAACCC-1", "d15.data_CTCATGCTCGTAGTGT-1", "d15.data_TGTTTGTAGGCCATAG-1", "d15.data_CATCCACTCTGTAAGC-1", "d15.data_ATGAGGGGTTGGGTTT-1", "d15.data_CACTGTCCAGGTGACA-1", "d15.data_CCGGACAGTCTGCGCA-1", "d15.data_GTTACAGTCTGATTCT-1", "d15.data_CTTAGGATCAAGTGGG-1", "d15.data_GGAGATGGTCAACATC-1", "d15.data_ATGGATCAGGATTACA-1", "d15.data_AGAAGCGGTCCGAAAG-1", "d15.data_GAGCCTGAGCAGATAT-1", "d15.data_ACTGTCCGTTAGTTCG-1", "d15.data_AGGTTACTCATCTGTT-1", "d15.data_ACCGTTCTCCACCTGT-1", "d15.data_TTCTTGAAGGGATCTG-1", "d15.data_TTTACGTGTACGGGAT-1", "d15.data_GCAGTTATCGTAATGC-1", "d15.data_ACAAGCTTCATTACCT-1", "d15.data_TCGGGTGCACTCTCGT-1", "d15.data_AAAGAACAGATGGGCT-1", "d15.data_CAGAGCCGTTGTCTAG-1", "d15.data_ACTTCGCTCCCTCATG-1", "d15.data_CTCATCGCAGAGGCTA-1", "d15.data_GTCTTTACATTACGGT-1", "d15.data_GTTGTAGGTTAGGACG-1", "d15.data_TTTATGCCACTTCATT-1", "d15.data_TCATTCATCTTTGATC-1", "d15.data_CTACTATGTAAGCGGT-1", "d15.data_TCAGGTAAGCCACAAG-1", "d15.data_GGGTGAACACAGCCAC-1", "d15.data_ATCAGGTTCCGCGATG-1", "d15.data_GAAGAATAGAATCGAT-1", "d15.data_TATCTGTTCATTGTTC-1", "d15.data_TTTGGAGAGGTGCATG-1", "d15.data_AGGACGATCCAGGACC-1", "d15.data_TTGGGTAGTTGCGGCT-1", "d15.data_GTACAGTCATAGGTAA-1", "d15.data_TACGGTAGTAGGTCAG-1", "d15.data_GATCACATCTGTGCAA-1", "d15.data_TCTGCCATCCTTGGAA-1", "d15.data_AGGGTCCGTTACGTAC-1", "d15.data_ACTTAGGTCTCTTGCG-1", "d15.data_TGCCGAGTCCATTCGC-1", "d15.data_GGAATGGAGACTCTTG-1", "d15.data_AAAGTCCGTGGGTCAA-1", "d15.data_CGTTCTGGTGCCAAGA-1", "d15.data_CACGAATTCTCGTGGG-1", "d15.data_GTGCGTGGTTGTATGC-1", "d15.data_CAAGGGATCAGGTAAA-1", "d15.data_TATCCTAAGAGTGTGC-1", "d15.data_TGATTTCCAACACGTT-1", "d15.data_GATGACTGTAGGTTTC-1", "d15.data_TATCCTATCTCGCAGG-1", "d15.data_ACACCAAGTCGTATGT-1", "d15.data_AGTAGCTAGATGCTTC-1", "d15.data_CCGTGAGCAAATACAG-1", "d15.data_GCGTGCAGTCCCGTGA-1", "d15.data_TAGCACAGTATGAGGC-1", "d15.data_ACGGTCGGTAATGCTC-1", "d15.data_TGATGCACATGAAGGC-1", "d15.data_TTGCATTGTTCGTACA-1", "d15.data_TCCATGCGTTGGCTAT-1", "d15.data_TTCCAATCATACCGTA-1", "d15.data_AGTGATCTCGCGTGAC-1", "d15.data_CCGATCTGTTCTTAGG-1", "d15.data_ATCCACCGTGACCGAA-1", "d15.data_GTGGGAAAGCGCTGAA-1", "d15.data_GGGCTCAGTGACATCT-1", "d15.data_TTCATTGAGTCGCCCA-1", "d15.data_CGTTGGGGTGAGTAAT-1", "d15.data_CTGTATTTCCACAGCG-1", "d15.data_GGTTCTCAGCATGAAT-1", "d15.data_ACCGTTCTCTTCGTAT-1", "d15.data_GCACTAAGTCGCACAC-1", "d15.data_TTTACCAGTACCCGAC-1", "d15.data_ACTCCCAAGTCTGGTT-1", "d15.data_TTCGGTCCACCCATAA-1", "d15.data_GAGTGAGCAAACAGGC-1", "d15.data_ATGGAGGAGGTTTGAA-1", "d15.data_CACTGAATCGAGATGG-1", "d15.data_CGCATAACAACAAGTA-1", "d15.data_GTGCGTGAGAAAGCGA-1", "d15.data_TTGGGTAAGCCATATC-1", "d15.data_GGAGGATCATAGACTC-1", "d15.data_TGCGGCAGTCCAGCCA-1", "d15.data_TGTCCTGAGTCAGAGC-1", "d15.data_TCTTTGATCCGCTGTT-1", "d15.data_TGATGCATCCCGAATA-1", "d15.data_ATCGTGAGTGCTGCAC-1", "d15.data_GACATCACAACGGTAG-1", "d15.data_AGATGCTGTGTCCGTG-1", "d15.data_AGTTCGAAGTTAACAG-1", "d15.data_GGTCACGGTGAATGAT-1", "d15.data_TGAGGTTAGCTGAAGC-1", "d15.data_TCAATTCTCCAAGCTA-1", "d15.data_GGGTCACTCTAAGCGT-1", "d15.data_CAGATTGGTATGGAGC-1", "d15.data_TGACGCGGTGTCTTCC-1", "d15.data_AGTCATGGTCATGGCC-1", "d15.data_AGCGATTAGCCATTTG-1", "d15.data_ATTCACTCAACAGATA-1", "d15.data_TGGAGGACAAGTCCCG-1", "d15.data_GTATTGGTCTGGAAGG-1", "d15.data_ATCACGAAGACAGCTG-1", "d15.data_AAGTGAACAACTGCTA-1", "d15.data_CTGTCGTCAGATTCGT-1", "d15.data_ACGTTCCCAACTTGCA-1", "d15.data_ATCCACCGTGCAGTGA-1", "d15.data_GAGGGTACATTCACCC-1", "d15.data_GCGAGAAAGTCGAGGT-1", "d15.data_AACACACCATCGATAC-1", "d15.data_TCGGGCATCTTTCCGG-1", "d15.data_AGTCACATCTTTCTAG-1", "d15.data_CCGCAAGTCGGCTGAC-1", "d15.data_TCGTCCATCTGGCTGG-1", "d15.data_CGAATTGAGCGTGTTT-1", "d15.data_CTAGGTAAGCCTATTG-1", "d15.data_AAGGAATCAGGGTCTC-1", "d15.data_TGACTCCAGCGTGCTC-1", "d15.data_GAATAGAAGCGCGTTC-1", "d15.data_AGGATAAAGTGGCAGT-1", "d15.data_TGTCCTGTCATCACCC-1", "d15.data_GTTGTAGAGGTAATCA-1", "d15.data_TCATGGATCCGAACGC-1", "d15.data_CCATCACGTATCGTAC-1", "d15.data_CTCCCTCGTTACACAC-1", "d15.data_TCTTGCGTCCGTGCGA-1", "d15.data_ACATCGAAGGACAACC-1", "d15.data_TAGACTGGTCCGACGT-1", "d15.data_TGGGATTCATAGTCAC-1", "d15.data_ACCAACAGTAACAAGT-1", "d15.data_ACATGCAAGCTGAAGC-1", "d15.data_GTGGAGATCCCGAGGT-1", "d15.data_TCAGGTAAGTAATACG-1", "d15.data_GTGAGGAGTATTGACC-1", "d15.data_CAGCAGCGTGCAATAA-1", "d15.data_TTGGTTTCATGAGAAT-1", "d15.data_GATTGGTGTCGTCAGC-1", "d15.data_TGAGCATGTTGATCGT-1", "d15.data_CCTAAGAAGCCGAATG-1", "d15.data_ATGGGAGGTTGTCTAG-1", "d15.data_GTCCACTTCCGAGTGC-1", "d15.data_CGAGAAGGTTCAAACC-1", "d15.data_CATCGTCTCCTCATAT-1", "d15.data_GTCGCGATCAGTCTTT-1", "d15.data_CCACAAATCCCTCGAT-1", "d15.data_CGTCAAAGTTTAGACC-1", "d15.data_TTTAGTCCAATCTCTT-1", "d15.data_TGCACGGGTAGTATAG-1", "d15.data_AGTGATCCACAACGAG-1", "d15.data_ATCCATTGTTTAGACC-1", "d15.data_AGTCACAGTGCGGATA-1", "d15.data_TCGGGCAGTCCTCCTA-1", "d15.data_CAGGTATAGGTAGCCA-1", "d15.data_TCATGCCCAAACTAAG-1", "d15.data_CGTGATACATGTGACT-1", "d15.data_ATCGATGTCCATGAGT-1", "d15.data_TGATTCTAGATCGCCC-1", "d15.data_GTTACCCCACAACATC-1", "d15.data_GTCTTTAAGGGCAAGG-1", "d15.data_ATGCGATCAACCCTCT-1", "d15.data_CTGTCGTCAACTCGAT-1", "d15.data_GGAGCAAGTACAAAGT-1", "d15.data_GTCAAGTAGCCAAGTG-1", "d15.data_CCTCTAGCATCCGAGC-1", "d15.data_AGGGAGTCATTCATCT-1", "d15.data_TTGGGCGTCGAAATCC-1", "d15.data_TAACCAGGTTCAGCTA-1", "d15.data_GCCATGGAGAGTGACC-1", "d15.data_AACAGGGTCTAGAACC-1", "d15.data_TTCCGTGTCCACACAA-1", "d15.data_AGGTTACGTCCCAAAT-1", "d15.data_GGTAACTGTCTTGCTC-1", "d15.data_ATCGTAGTCGATAACC-1", "d15.data_TCTCACGGTGGCTACC-1", "d15.data_CACTGAAGTTACCGTA-1", "d15.data_GGTAATCGTGGCTAGA-1", "d15.data_TGTTTGTGTCGTCGGT-1", "d15.data_ACTTAGGGTCGTTGCG-1", "d15.data_AACCCAAGTTTGTGGT-1", "d15.data_CGAGGCTGTCACATTG-1", "d15.data_TGACTCCGTAATTAGG-1", "d15.data_ATCCGTCGTTGCCAAT-1", "d15.data_ACCTGAAGTTTCACTT-1", "d15.data_ATGCCTCAGTTGGGAC-1", "d15.data_GGGTTATCACTTGGGC-1", "d15.data_TCATTACTCCTTATCA-1", "d15.data_GTTACGAGTATCCTTT-1", "d15.data_AATCACGGTATCACCA-1", "d15.data_CAACAGTTCCAGTGTA-1", "d15.data_TTCCGTGTCAGCTTCC-1", "d15.data_ATACCTTCACCAACAT-1", "d15.data_TATCTGTGTCGACTGC-1", "d15.data_AGACAGGGTTGCTGAT-1", "d15.data_GTTAGTGGTGGGACAT-1", "d15.data_GAGGCCTAGATGACCG-1", "d15.data_CACAGATCAGCAGTGA-1", "d15.data_TTAGTCTCAATACGAA-1", "d15.data_GTAGGAGCACCCGTAG-1", "d15.data_AGGGAGTTCCTGGGTG-1", "d15.data_CTCCCTCAGCACACAG-1", "d15.data_AAAGGATAGTAGTCCT-1", "d15.data_GGGTATTTCGTCGATA-1", "d15.data_CTATCCGGTGCACGCT-1", "d15.data_TGCAGTAGTCCTCATC-1", "d15.data_CGATGGCCAATGACCT-1", "d15.data_ACAAAGAAGGGCAAGG-1", "d15.data_ATTCCTACACTACTTT-1", "d15.data_CCAATTTTCATGAGTC-1", "d15.data_CGGAATTGTTTGCAGT-1", "d15.data_GAGGGTACACAGTCCG-1", "d15.data_TTGTGGAGTGCAACGA-1", "d15.data_TTACCGCGTCAGCTTA-1", "d15.data_CGAGGAACACCATAAC-1", "d15.data_CTACGGGGTGCATTTG-1", "d15.data_GCCAGGTTCCCGTGTT-1", "d15.data_GAAGCGACATGGCACC-1", "d15.data_GGAGGATCATGGGATG-1", "d15.data_AACTTCTTCCGCACTT-1", "d15.data_CGATCGGAGGTCATAA-1", "d15.data_GACGTTACACGCAAAG-1", "d15.data_ATACCGAGTGGAGAAA-1", "d15.data_AATTTCCCAGAAATTG-1", "d15.data_GCACTAAGTGGTCTTA-1", "d15.data_TAGGAGGTCAAACGTC-1", "d15.data_TTGCGTCAGTCACTAC-1", "d15.data_CATGCCTAGGGAGGGT-1", "d15.data_GGGTCACTCTGTCTCG-1", "d15.data_GTGCTGGCATAATGCC-1", "d15.data_GAGGGATAGTCCCGGT-1", "d15.data_AACTTCTCATAAGCGG-1", "d15.data_CCGAACGCATTGTACG-1", "d15.data_TGTTGGAAGGAAGTAG-1", "d15.data_ACATCCCAGCAGGCTA-1", "d15.data_TGTTCTACACTTGTCC-1", "d15.data_GGTTGTAAGGGCGAGA-1", "d15.data_AGGGTCCGTAAGAACT-1", "d15.data_GGTTCTCGTATTCCTT-1", "d15.data_TCCTTTCAGGGCGAAG-1", "d15.data_CTGTGGGGTCTACAAC-1", "d15.data_AGAGAATTCTTACGTT-1", "d15.data_TTGGATGGTCCTTGTC-1", "d15.data_GGGCTCACAAATCAGA-1", "d15.data_CATGCAAAGGGTACAC-1", "d15.data_GTAATGCTCAAATAGG-1", "d15.data_ATGGGTTTCGTGTGAT-1", "d15.data_CTCCTTTTCTGCAGCG-1", "d15.data_TGCTGAATCCACAGGC-1", "d15.data_TTGTGTTCATTGCCTC-1", "d15.data_ACAGGGAAGCGAGGAG-1", "d15.data_GTAACCAGTTTAGAGA-1", "d15.data_CAGGCCAGTACAGTAA-1", "d15.data_GTCGAATGTCCCGGTA-1", "d15.data_CAGATACTCATTGAGC-1", "d15.data_GAAGGGTTCGCTTACC-1", "d15.data_GTCGTTCAGTTTGGCT-1", "d15.data_CGTGATAAGTCTCGTA-1", "d15.data_GACACGCTCAAAGGTA-1", "d15.data_ATTACCTTCGCGTGCA-1", "d15.data_ACCCTTGGTGCGTCGT-1", "d15.data_GTCTAGACAGGCACTC-1", "d15.data_ACGTTCCAGTTACTCG-1", "d15.data_AGACTCATCCATATGG-1", "d15.data_TTCTAGTGTCTCAAGT-1", "d15.data_CGCGTGATCTAGACCA-1", "d15.data_GCCGATGCACATGTTG-1", "d15.data_TGTCCACCAGTAACGG-1", "d15.data_TATCGCCCAGACGGAT-1", "d15.data_ATCGTGAGTATAGGGC-1", "d15.data_CGAGGAAAGTATGTAG-1", "d15.data_CTCAATTGTGCCTGAC-1", "d15.data_ACCTGAAAGAGATGCC-1", "d15.data_TGTTCTACACTTCATT-1", "d15.data_ACCAAACGTCGAAGCA-1", "d15.data_CTCAGTCCAACTTCTT-1", "d15.data_CATCGGGTCCTGATAG-1", "d15.data_AGTCATGAGATGGTCG-1", "d15.data_TCTTAGTCAGAACGCA-1", "d15.data_GACCAATTCAGACTGT-1", "d15.data_GGTCTGGGTTGTGTTG-1", "d15.data_ATGAGTCAGTTTCGAC-1", "d15.data_GAAGGGTTCTACCACC-1", "d15.data_ATGAGTCAGTTTGGCT-1", "d15.data_TGGTGATGTATTTCGG-1", "d15.data_AAATGGAGTATGAGGC-1", "d15.data_AAAGAACGTTGCCGAC-1", "d15.data_TTCGCTGCATGACGGA-1", "d15.data_GAGCTGCGTATTGGCT-1", "d15.data_CGGACACAGCTATCCA-1", "d15.data_GGTGAAGTCAGCGTCG-1", "d15.data_ATTTACCGTCATCGCG-1", "d15.data_TGGGCGTAGAAACCAT-1", "d15.data_TATCTGTTCGCCAATA-1", "d15.data_TTGGATGAGAGTTCGG-1", "d15.data_GATGCTAAGTATGGCG-1", "d15.data_TTTACGTCAAACGTGG-1", "d15.data_GTTACCCAGTTTGGCT-1", "d15.data_TATGTTCAGTTAGTGA-1", "d15.data_GTCATCCTCTAACACG-1", "d15.data_TATCAGGGTTGCCAAT-1", "d15.data_GCTACCTAGATGTAGT-1", "d15.data_AGAAGTATCAAAGGAT-1", "d15.data_GGAAGTGCATAGGAGC-1", "d15.data_GGGTGTCTCCGACGGT-1", "d15.data_ACATCGAGTCCCGCAA-1", "d15.data_TTTGACTCAACGACAG-1", "d15.data_CTCCACATCCCAGGAC-1", "d15.data_CAGGTATCAACCACAT-1", "d15.data_AATGGAAGTACTAACC-1", "d15.data_TAGTGCATCTGCTCTG-1", "d15.data_CTGCGAGAGAGGATCC-1", "d15.data_GAGGGATGTTCAAACC-1", "d15.data_TATCTTGTCAAACCTG-1", "d15.data_AGCATCAAGCAGGTCA-1", "d15.data_GGGACTCCACTCACTC-1", "d15.data_TGAGCGCAGAAACTGT-1", "d15.data_TGCTCCATCTCCACTG-1", "d15.data_GAGTGAGCACCGCTGA-1", "d15.data_GCTACCTGTCTTAGTG-1", "d15.data_TATCTTGCACTTGGCG-1", "d15.data_TCATTCACACGTACAT-1", "d15.data_GCACGGTGTGGCTGCT-1", "d15.data_TTCAGGAGTGCAATGG-1", "d15.data_TTGTGGAAGCTTTCTT-1", "d15.data_CAGCACGCAAGCGCAA-1", "d15.data_ATTCATCGTACAGCGA-1", "d15.data_TGACTCCTCTCATTGT-1", "d15.data_GTCGCGAGTACATTGC-1", "d15.data_GTTTGGAGTGTGACCC-1", "d15.data_AGCTCAAGTCCGACGT-1", "d15.data_ACGGGTCTCGCTTGAA-1", "d15.data_AACAAAGGTACGAGTG-1", "d15.data_CCACACTCACAAGGTG-1", "d15.data_CACCAAAAGGCTTAAA-1", "d15.data_AGAGAATAGCAACAAT-1", "d15.data_CTCACTGCAAGTGCTT-1", "d15.data_GGAGATGTCCTCGCAT-1", "d15.data_TAGGTTGTCAAAGCCT-1", "d15.data_TTGCGTCCAAGGACAC-1", "d15.data_TCAAGACTCCGGTTCT-1", "d15.data_TTCTAACCAACGCCCA-1", "d15.data_TTCTGTAGTACAAGTA-1", "d15.data_GTCTAGAAGCCTGACC-1", "d15.data_ATCACGAAGTAGGATT-1", "d15.data_CTTGATTGTGCACATT-1", "d15.data_CCTCATGCACTTGAAC-1", "d15.data_TTACGTTCAAGACCGA-1", "d15.data_GGGTGAATCCGTAGGC-1", "d15.data_GGCAGTCAGAATTCAG-1", "d15.data_TTCTAACTCTGCATAG-1", "d15.data_GTGGTTAGTGCACATT-1", "d15.data_GCGGATCTCTGAGGTT-1", "d15.data_GAGTTTGGTACACTCA-1", "d15.data_ATCGCCTTCAAATGCC-1", "d15.data_GCAGGCTTCGTGGACC-1", "d15.data_GTGTTAGAGTTGCATC-1", "d15.data_CTGCGAGTCTCGTTTA-1", "d15.data_CGATCGGAGGAAAGTG-1", "d15.data_GTGACGCTCCATGCAA-1", "d15.data_TGTTCTAAGCATAGGC-1", "d15.data_CCTCAACTCCACCTCA-1", "d15.data_AGTGATCTCGATCCCT-1", "d15.data_CGAATTGAGACTCAAA-1", "d15.data_TAACGACGTCAACCAT-1", "d15.data_CTGCATCGTACGCTAT-1", "d15.data_CATACAGGTGGGTATG-1", "d15.data_CTACTATTCTAGGCCG-1", "d15.data_GGAGGATCACACCTTC-1", "d15.data_TGCTCGTCAAGTGCTT-1", "d15.data_TGATCTTCAACCGACC-1", "d15.data_TTGTTTGCATTGCTGA-1", "d15.data_ACTCCCAAGTAGGTTA-1", "d15.data_TCGGTCTTCATGGATC-1", "d15.data_GAAACCTCAAATGGCG-1", "d15.data_ACTGTCCGTTCGATTG-1", "d15.data_TGATCTTGTCACTCGG-1", "d15.data_CACTTCGTCGACCAAT-1", "d15.data_ACAGAAAGTGACTCTA-1", "d15.data_CGTAGTACAGAACGCA-1", "d15.data_CGATCGGGTGCATGTT-1", "d15.data_AATGAAGGTCTCTCAC-1", "d15.data_ATTCTACGTGATTAGA-1", "d15.data_GTGCTGGGTGGACCTC-1", "d15.data_CGAGGCTTCTAGTACG-1", "d15.data_TTCACCGGTCATCACA-1", "d15.data_TTGCGTCAGGACCCAA-1", "d15.data_ATCACAGAGGGCATGT-1", "d15.data_TGCAGGCTCTAGTGTG-1", "d15.data_GTGCTGGTCAATCTTC-1", "d15.data_CATCGTCCAGCCTACG-1", "d15.data_AACCCAAAGAAATTCG-1", "d15.data_CCGCAAGTCGACCCAG-1", "d15.data_ACAAAGAGTGAGATCG-1", "d15.data_ATACTTCAGTCTAGAA-1", "d15.data_TTTCCTCAGGCCTGAA-1", "d15.data_CAGATACTCAGAGTTC-1", "d15.data_TTACCGCGTGGAACCA-1", "d15.data_CATTCTAGTTTGAAAG-1", "d15.data_TCATTTGGTCTTACAG-1", "d15.data_ATGTCCCTCCTTCTGG-1", "d15.data_GAAGGGTTCTTCCGTG-1", "d15.data_CAGCCAGAGTCTAGAA-1", "d15.data_ACTTTCAAGGTGGCTA-1", "d15.data_TTCCGGTCATGCGGTC-1", "d15.data_GGGCTACTCTAGTGTG-1", "d15.data_ACACGCGGTCAGGAGT-1", "d15.data_ATCCGTCCAGCGATTT-1", "d15.data_CCACCATAGCCTCTGG-1", "d15.data_TGGAACTCAAAGAGTT-1", "d15.data_CCAATGATCCGTGACG-1", "d15.data_ACTTAGGGTAGAGATT-1", "d15.data_AGACACTTCACGGAGA-1", "d15.data_ACTTTCACAGAGCTAG-1", "d15.data_AGCGTATTCCTAACAG-1", "d15.data_GAAGCGATCATTGCGA-1", "d15.data_TGGAACTTCTATCGCC-1", "d15.data_GTTGTGATCCATTCGC-1", "d15.data_CATAAGCAGGGCCTCT-1", "d15.data_GAGTGAGGTTCAAGTC-1", "d15.data_GTAATCGCAACCGATT-1", "d15.data_TCGGTCTAGTGATAAC-1", "d15.data_GCTTGGGGTGATTAGA-1", "d15.data_TTTGTTGAGAATAACC-1", "d15.data_GATCACAAGGATCATA-1", "d15.data_TACCGGGTCTAGCCAA-1", "d15.data_CACAACATCATCACAG-1", "d15.data_CTTGAGACAGGAAGTC-1", "d15.data_TTTACCATCGTAGCCG-1", "d15.data_GACAGCCAGAACTGAT-1", "d15.data_CTTCCTTCAATCCTAG-1", "d15.data_AGATCCAGTGTAGTGG-1", "d15.data_CACGTTCTCCGCACTT-1", "d15.data_CCCTCTCCATGATCTG-1", "d15.data_ACTGCAAGTTTCCCAC-1", "d15.data_CCTCAGTCAACCGGAA-1", "d15.data_ACACGCGCACACTGGC-1", "d15.data_AAGATAGGTTTCGTAG-1", "d15.data_CATACAGCAGACAATA-1", "d15.data_GGAGGATAGTATGCAA-1", "d15.data_CATGCAAGTGTAAACA-1", "d15.data_GCCAGCACAACTCATG-1", "d15.data_ACATCGATCATTGCTT-1", "d15.data_GTTGAACTCTGTCCCA-1", "d15.data_AAATGGACAGGTGACA-1", "d15.data_CATACTTCAGACCCGT-1", "d15.data_GTCTTTAAGACTACCT-1", "d15.data_CTCAATTTCATCCCGT-1", "d15.data_TAGAGTCTCAGAATAG-1", "d15.data_ATTCAGGCAAGTTCGT-1", "d15.data_AGGCATTCATCCGCGA-1", "d15.data_AGGCTGCAGCAATAGT-1", "d15.data_ACTTATCAGGTTCTAC-1", "d15.data_ACTATTCTCGGTTAGT-1", "d15.data_CAACAGTGTACTGGGA-1", "d15.data_AGGCTGCCACCATTCC-1", "d15.data_CTGCCTAGTTGCTGAT-1", "d15.data_TCCATCGCATACACCA-1", "d15.data_AGGGCCTGTATCGTAC-1", "d15.data_ATCGCCTGTCTTGCGG-1", "d15.data_GTATTTCGTGCATGAG-1", "d15.data_ATCCCTGAGCGTTCAT-1", "d15.data_TACCTCGTCCGAAGGA-1", "d15.data_TGGTACATCTACGGTA-1", "d15.data_CATTCTACATGGATCT-1", "d15.data_GGTGAAGAGTACCGGA-1", "d15.data_CAACCAAAGATTCGAA-1", "d15.data_GGAGAACAGTTGCGAG-1", "d15.data_CTCCAACGTATGGAGC-1", "d15.data_ACTGATGCACCTGAAT-1", "d15.data_ATGCCTCTCACAGAGG-1", "d15.data_CGAGTGCGTACCGCGT-1", "d15.data_ATGATCGCACTATGTG-1", "d15.data_CATACCCCATCCGATA-1", "d15.data_CCGTTCATCTCATGCC-1", "d15.data_AGACACTCAGACATCT-1", "d15.data_TGTTGGAGTTACGCCG-1", "d15.data_AGTGATCTCCTGATAG-1", "d15.data_TTGAGTGGTTACGGAG-1", "d15.data_CATGAGTCACTAGAGG-1", "d15.data_AACCAACGTGAATTAG-1", "d15.data_AGAAATGTCTTTCCAA-1", "d15.data_GTTGTGAGTCATGACT-1", "d15.data_TCAGTGACACACGTGC-1", "d15.data_CTTCTCTTCTCTGCTG-1", "d15.data_GTTGAACCAGTTGCGC-1", "d15.data_TGAGACTGTCGGCCTA-1", "d15.data_CACAGGCGTGATGGCA-1", "d15.data_GAGACCCCATGACTGT-1", "d15.data_GTAACACGTGAGAACC-1", "d15.data_CATCGCTTCCTACGAA-1", "d15.data_GTTGTCCAGACTAGAT-1", "d15.data_ACTGTCCAGCCAGAGT-1", "d15.data_CATCCCAAGGCTAACG-1", "d15.data_TACGTCCCAGTGGCTC-1", "d15.data_TCGAAGTCACGCGTCA-1", "d15.data_GGGATGAGTTGCATCA-1", "d15.data_TGACAGTAGTTCCATG-1", "d15.data_GTAACACCATTAAGCC-1", "d15.data_GAATCGTCATCCTCAC-1", "d15.data_GTATTGGCAATCAGCT-1", "d15.data_GTCCACTTCACAATGC-1", "d15.data_TTGAGTGCAGTTTGGT-1", "d15.data_GGGAGATGTTAACCTG-1", "d15.data_GAGCTGCTCATGGTAC-1", "d15.data_ACCACAATCAAGCCAT-1", "d15.data_TGCTGAAAGTCATCGT-1", "d15.data_GCTTTCGGTGGCTACC-1", "d15.data_ACTCCCACAAATCAAG-1", "d15.data_CATGGATCATGATCTG-1", "d15.data_CTTTCGGCACACGCCA-1", "d15.data_GAGGGATTCGAGCTGC-1", "d15.data_CCCTCTCGTGCCAAGA-1", "d15.data_CCTCAACGTTGCTAGT-1", "d15.data_TCCACCAGTCCCTGAG-1", "d15.data_CATTCATTCTACTATC-1", "d15.data_AAAGGGCTCGAGATGG-1", "d15.data_AGAACCTCAGCTTTCC-1", "d15.data_GTAACCATCAGCTTGA-1", "d15.data_CCTCCAATCAACGAGG-1", "d15.data_AGGTCTATCTGCTTAT-1", "d15.data_AGGGCCTCATCCTTCG-1", "d15.data_TGTAGACCACTTGTGA-1", "d15.data_GGACGTCAGGAAGAAC-1", "d15.data_TTTGATCGTACGATGG-1", "d15.data_CTCTCAGAGGTATTGA-1", "d15.data_AGGACGAAGGGAGGGT-1", "d15.data_ACAGCCGCAACCCGCA-1", "d15.data_TCACGCTAGTTCCGTA-1", "d15.data_CCGCAAGGTGGAAATT-1", "d15.data_ATCGGCGTCACTCTTA-1", "d15.data_AACGAAACAGACCAAG-1", "d15.data_GTGCTGGCACCGCTAG-1", "d15.data_TCTTTGATCGTCAACA-1", "d15.data_CGAAGGAGTTTGACAC-1", "d15.data_GATGACTCATCATCTT-1", "d15.data_CCTTTGGCAATTCTTC-1", "d15.data_GTGCTTCAGATGAATC-1", "d15.data_ATAGGCTCATGACGAG-1", "d15.data_ATGACCAGTGCTTCAA-1", "d15.data_CGGTCAGTCGAACCTA-1", "d15.data_GTCGCGAGTCAGTTTG-1", "d15.data_TTCTAGTCACCTCTAC-1", "d15.data_ACATCGAGTTGTGCAT-1", "d15.data_TCCTCCCGTAGCACGA-1", "d15.data_GTCTACCTCTTCCAGC-1", "d15.data_GACTATGGTGTTTCTT-1", "d15.data_CAAGGGAAGCAAACAT-1", "d15.data_TGAGACTTCGACCAAT-1", "d15.data_ATCCTATCAAGCAATA-1", "d15.data_GTTGTAGCACAGCCAC-1", "d15.data_ATCGGATGTTATCCAG-1", "d15.data_ATGCGATGTGCTTCAA-1", "d15.data_TACCCGTCACCCTATC-1", "d15.data_GATCGTACACTGTTCC-1", "d15.data_TGCTTCGGTTCGTTCC-1", "d15.data_GACTCAACATCAGCAT-1", "d15.data_TTCTAGTGTGGACCAA-1", "d15.data_AGATGAAAGCGAACTG-1", "d15.data_GCATCTCCAAATACAG-1", "d15.data_ACTCCCAAGGCACCAA-1", "d15.data_GGGAGTAGTGTGTCCG-1", "d15.data_GATTTCTTCATGGGAG-1", "d15.data_ATTTACCCAAACGAGC-1", "d15.data_GTAATCGTCCATAGGT-1", "d15.data_GGAAGTGGTTACGGAG-1", "d15.data_TCATTTGAGTATGCAA-1", "d15.data_ATGAGGGTCCACAGCG-1", "d15.data_GGTGTCGAGGCCTAAG-1", "d15.data_TTCCTCTGTGCATGTT-1", "d15.data_CTCCTCCTCAACCGAT-1", "d15.data_GTCGTAAAGTTATGGA-1", "d15.data_TTCCTCTCAACTGGTT-1", "d15.data_ATTATCCGTACAGCGA-1", "d15.data_TTCCTAATCCATTCGC-1", "d15.data_TACCCACCACTTGTGA-1", "d15.data_GATTGGTTCCAAGAGG-1", "d15.data_AGGACGACACTGATTG-1", "d15.data_GATTCGACAAATGGAT-1", "d15.data_TTTCATGGTATGGTTC-1", "d15.data_GAGGCCTTCTATTTCG-1", "d15.data_AGGTAGGAGACATCAA-1", "d15.data_CCTACGTTCGTCAACA-1", "d15.data_ATCATTCCAGCACAAG-1", "d15.data_TTGTGTTCAGTCAACT-1", "d15.data_GTAATCGGTTACGTAC-1", "d15.data_AGGTTACAGCTGCCAC-1", "d15.data_CATCAAGTCGGCCCAA-1", "d15.data_AATGGAACAATCGTCA-1", "d15.data_CAAAGAACAACCGTAT-1", "d15.data_TGATTTCAGAATCCCT-1", "d15.data_GATAGCTTCGTTTACT-1", "d15.data_TCGTAGATCAGCGTCG-1", "d15.data_ACTATTCGTTTCCCAC-1", "d15.data_GCGATCGTCAAGATAG-1", "d15.data_AAAGAACCACATAACC-1", "d15.data_ATAGACCGTGGCCTCA-1", "d15.data_CGCATAAGTTGGAGAC-1", "d15.data_TGATGGTTCCTACTGC-1", "d15.data_CTTTCGGGTAATTAGG-1", "d15.data_AACCTTTGTGCACGCT-1", "d15.data_TGTGATGTCCAAGCAT-1", "d15.data_TGCTGAAGTCCTGGGT-1", "d15.data_ATCCACCCAGAACTTC-1", "d15.data_AGTGATCCAGGTTCCG-1", "d15.data_CGCATGGTCTTGGGCG-1", "d15.data_GACAGCCAGATACCAA-1", "d15.data_TTCGGTCTCCTCACCA-1", "d15.data_AAGTGAAGTTTCCAAG-1", "d15.data_ACAGGGAGTCAAATCC-1", "d15.data_TGGTACAAGGCAGTCA-1", "d15.data_AGGTAGGTCCTCTAAT-1", "d15.data_GTAGCTAAGTAATTGG-1", "d15.data_ACTGTGAAGCAAGTGC-1", "d15.data_TCGGGACTCCGTCCTA-1", "d15.data_TGACCCTGTGCCGTAC-1", "d15.data_TGTGCGGCACAACGCC-1", "d15.data_AACGTCATCGTGGCGT-1", "d15.data_CTCCAACCAGAGGCTA-1", "d15.data_TATCGCCTCTCCTGAC-1", "d15.data_CCTCATGTCAGAGCAG-1", "d15.data_CCACAAAAGTTAGTGA-1", "d15.data_GTCCACTGTTTCGTGA-1", "d15.data_TGGAGAGCAAGTATCC-1", "d15.data_CGATGCGTCAGGAACG-1", "d15.data_CAGTTCCTCGCATTAG-1", "d15.data_TCTTTGATCGTAGAGG-1", "d15.data_AGAAATGAGGCTTTCA-1", "d15.data_CCTAACCAGATCCCAT-1", "d15.data_GCGGAAATCGGTGTTA-1", "d15.data_GGTGAAGCAATAGAGT-1", "d15.data_GGAACCCCATGCCATA-1", "d15.data_TGCATGAAGACGCCAA-1", "d15.data_GATCAGTAGCAGGCTA-1", "d15.data_GTAGATCTCTGGTGGC-1", "d15.data_CCTACGTCAGTTGAAA-1", "d15.data_CTCACTGCATCGGATT-1", "d15.data_ACCTACCGTATGCAAA-1", "d15.data_TTACAGGTCCGATAAC-1", "d15.data_CTCAACCTCGACCACG-1", "d15.data_GCTGAATTCTAGAACC-1", "d15.data_GAGGGATTCTACACTT-1", "d15.data_TCATTACCACCTTCCA-1", "d15.data_CGATGGCGTCAACCAT-1", "d15.data_GGGAGTATCAGATTGC-1", "d15.data_GCTCAAAGTTCGGGTC-1", "d15.data_TTACCGCCACAGGATG-1", "d15.data_TGTTGAGGTCGTTTCC-1", "d15.data_CGTTGGGTCGTAACAC-1", "d15.data_GAACACTGTGCGACAA-1", "d15.data_GTACAGTAGCCACAAG-1", "d15.data_TTGGGATAGCACAAAT-1", "d15.data_TCTTTGAAGGTCTACT-1", "d15.data_TCATTACAGACCATAA-1", "d15.data_TCCTCGAAGCAAATCA-1", "d15.data_AGGAGGTTCCCTGTTG-1", "d15.data_AACACACAGCACGATG-1", "d15.data_TTTCCTCTCAAGTCTG-1", "d15.data_GAAGTAATCACCATCC-1", "d15.data_ACGGTTAGTAATGCGG-1", "d15.data_TTAGGCAAGGTCTACT-1", "d15.data_TACTTACAGAATAGTC-1", "d15.data_AGTCTCCAGCAGCCTC-1", "d15.data_AGCATCAGTGGCTCTG-1", "d15.data_TGTGATGCACAAGCAG-1", "d15.data_CTGGCAGGTAGTATAG-1", "d15.data_TACCTCGGTTTGAACC-1", "d15.data_TTGCATTCATGGCTGC-1", "d15.data_ATTTCTGGTGCGTGCT-1", "d15.data_GTATTGGGTGCCGTAC-1", "d15.data_CCGTAGGCATGTTCGA-1", "d15.data_TTTACTGTCGTCAGAT-1", "d15.data_CTTCAATCAATTTCTC-1", "d15.data_TATCCTATCTAGTGTG-1", "d15.data_ACTTCGCAGCTAGCCC-1", "d15.data_AGGATCTAGCTTGTTG-1", "d15.data_GTGGAGACAAATGCTC-1", "d15.data_GTAGTACTCTCTCTAA-1", "d15.data_TTAGTCTGTCTGTGCG-1", "d15.data_CCATCACTCTCTGAGA-1", "d15.data_TGAGCATGTAGTATAG-1", "d15.data_TGTAGACCATTGCAAC-1", "d15.data_ATCACGACAGCTTCCT-1", "d15.data_GATTCGATCAATCAGC-1", "d15.data_TTGAACGGTATTGAGA-1", "d15.data_TCATTACAGTGGAAAG-1", "d15.data_GACTCTCCAAGACTGG-1", "d15.data_GTCTGTCGTTAACAGA-1", "d15.data_GCATCGGCAAACTGCT-1", "d15.data_CGATGCGTCTTTCCGG-1", "d15.data_ACTTCGCCATACAGCT-1", "d15.data_TTGGGTACAACTGCTA-1", "d15.data_TCATGTTCATGGCACC-1", "d15.data_GGTAACTAGTATGACA-1", "d15.data_CCCGAAGGTTAACAGA-1", "d15.data_GTCATCCCACACGCCA-1", "d15.data_GTATTGGCACTCTCGT-1", "d15.data_CTATCCGTCAGTGTCA-1", "d15.data_GTCGCGAAGCTAATGA-1", "d15.data_GGACGTCCAGGCAATG-1", "d15.data_AGGTCTAAGATGCAGC-1", "d15.data_GTTACAGGTATAGGAT-1", "d15.data_TTGGTTTTCGATACGT-1", "d15.data_ATACCGATCTCAATCT-1", "d15.data_GGAGCAACACATATGC-1", "d15.data_CGGGCATAGGACTATA-1", "d15.data_ATTTACCAGCGGTATG-1", "d15.data_CTGAATGAGTTGCTGT-1", "d15.data_TCATGTTGTTATCCAG-1", "d15.data_TCCAGAACAGTCAGCC-1", "d15.data_CCTCTAGTCATACGAC-1", "d15.data_TCGCAGGCACAAGCTT-1", "d15.data_AGGGTGAAGGTATTGA-1", "d15.data_ACATCCCGTGCAACAG-1", "d15.data_ATCACTTAGGGAACAA-1", "d15.data_TTCTAACCAAGTACCT-1", "d15.data_ATCCACCTCGTAGGAG-1", "d15.data_AACCTGAAGAGGTGCT-1", "d15.data_GTAGGAGTCCTCGCAT-1", "d15.data_TGAGGGACACGTGTGC-1", "d15.data_CTGCGAGCACTCAAGT-1", "d15.data_GCGGATCTCTCGACGG-1", "d15.data_GTGTGGCCACTCCGGA-1", "d15.data_TACCGAAAGCCTTGAT-1", "d15.data_TCCACGTAGACTAGAT-1", "d15.data_GGTTGTAGTTTAGTCG-1", "d15.data_TTACAGGCATAACTCG-1", "d15.data_ATTATCCCACTGCGTG-1", "d15.data_CGGAATTAGGGATCAC-1", "d15.data_ACACTGACAAGGCAAC-1", "d15.data_CGGAACCGTCAGACTT-1", "d15.data_GTTGTCCTCACCTGGG-1", "d15.data_CCTGCATCAACGTAAA-1", "d15.data_ATGTCCCAGGTAATCA-1", "d15.data_GAATCACGTACTGCGC-1", "d15.data_TATATCCGTTCAAAGA-1", "d15.data_CATAAGCCAAACCACT-1", "d15.data_GCACTAAAGCGTCGAA-1", "d15.data_ATGCCTCAGTACGAGC-1", "d15.data_ATGACCAGTTGTGTAC-1", "d15.data_TGGTAGTTCAAGATAG-1", "d15.data_GATTCGACACTCCACT-1", "d15.data_TCGACCTAGATCACCT-1", "d15.data_TCACGGGAGTATTGCC-1", "d15.data_CTCCACACACACGGTC-1", "d15.data_GACATCAGTTTCGACA-1", "d15.data_ATCACTTAGACAGTCG-1", "d15.data_TCATCCGGTTAAGTCC-1", "d15.data_CCTAAGATCTTCGGAA-1", "d15.data_ACTATTCTCTAGTCAG-1", "d15.data_TCCCATGTCTGCCCTA-1", "d15.data_AGTCATGCACAATGCT-1", "d15.data_CCTGTTGTCTCCAATT-1", "d15.data_GTACAGTAGGACAGTC-1", "d15.data_GCGAGAACATATGAAG-1", "d15.data_GATGATCTCCGAGATT-1", "d15.data_TTCTCTCGTCTTTCAT-1", "d15.data_GATAGAACAAACACGG-1", "d15.data_GAAGCGACATTCAGGT-1", "d15.data_TACCCGTTCGACGATT-1", "d15.data_GAATCGTTCGACCTAA-1", "d15.data_ACATGCATCCTGGGTG-1", "d15.data_CTACGGGGTGTCTTCC-1", "d15.data_AGACCCGGTGGTCCCA-1", "d15.data_CGACAGCTCTGCATGA-1", "d15.data_CTCATGCAGCAACAGC-1", "d15.data_GCACGTGCAAATCGGG-1", "d15.data_CGAGGAAGTATGCGGA-1", "d15.data_TCATACTTCCGAGGCT-1", "d15.data_CCCTCAATCGCTGTTC-1", "d15.data_CCAAGCGAGAAAGCGA-1", "d15.data_GAGGCCTCATCCTGTC-1", "d15.data_GCCAGCACACCAGTAT-1", "d15.data_ACTTTCAAGAAGCCTG-1", "d15.data_CCTCTAGGTGGTCTAT-1", "d15.data_AGGAGGTTCAGCTCTC-1", "d15.data_TGGAGAGAGGACAGTC-1", "d15.data_GCCGTGATCGGCCAAC-1", "d15.data_TGCTGAAAGACGCAGT-1", "d15.data_TGAATCGCATTGCCTC-1", "d15.data_AGCCACGTCAGACCCG-1", "d15.data_TCATGCCCACAAAGTA-1", "d15.data_TGTCCACAGCTTAGTC-1", "d15.data_CATCGGGAGAAAGTCT-1", "d15.data_CGAAGGACATTGACCA-1", "d15.data_AGCATCAAGGTACTGG-1", "d15.data_TGTGTGATCTGTCGTC-1", "d15.data_CCACGAGTCTCACCCA-1", "d15.data_GTTGCGGCAGCTATAC-1", "d15.data_ATCCACCGTAGTACGG-1", "d15.data_ACGGTTACACCGTACG-1", "d15.data_TACCCGTTCAGGCGAA-1", "d15.data_GACTGATGTAACAGTA-1", "d15.data_TTGCTGCTCTATGCCC-1", "d15.data_AAGAACAGTTGTCCCT-1", "d15.data_CAGATACCATTCCTCG-1", "d15.data_ACAGGGATCCATCTAT-1", "d15.data_ATACCTTAGTTTGCTG-1", "d15.data_GTCACGGGTCGCACGT-1", "d15.data_TTCACCGCACCGTGAC-1", "d15.data_TACCCGTGTTTAGTCG-1", "d15.data_GGCTTGGCAGTATACC-1", "d15.data_ATCGTCCTCGCTTACC-1", "d15.data_CTGCCTACACATACTG-1", "d15.data_CTTGATTAGACTACGG-1", "d15.data_TGGTTAGAGTATTGCC-1", "d15.data_CTTTCGGAGACATGCG-1", "d15.data_TAGACTGTCTAGTTCT-1", "d15.data_GACACGCTCACGATCA-1", "d15.data_TTACGCCGTCGTTATG-1", "d15.data_GATGACTTCCGAAGGA-1", "d15.data_GATGACTTCTGGGATT-1", "d15.data_GGGCTCAGTAGAATAC-1", "d15.data_ACATTTCTCATCCTGC-1", "d15.data_GTAGAAATCCGATGCG-1", "d15.data_GTGGCGTCAATGAGCG-1", "d15.data_GCCCGAAAGCATGGGT-1", "d15.data_AGGATCTAGCATTGTC-1", "d15.data_TGTTTGTCAGTGGTGA-1", "d15.data_AATGCCACAGACCAAG-1", "d15.data_CTACCTGGTTCTTAGG-1", "d15.data_TGCGGGTCAGCGTAGA-1", "d15.data_ATTTACCAGCGGACAT-1", "d15.data_ACTGATGGTTCTGACA-1", "d15.data_CGTTGGGCAGAAGCTG-1", "d15.data_GACCAATTCAGAGTGG-1", "d15.data_TCACACCAGTACAACA-1", "d15.data_CGGACACAGTCCGTCG-1", "d15.data_TCTCTGGGTTGGAGAC-1", "d15.data_GTCCTCATCAAGAATG-1", "d15.data_TCAGGGCAGGTAGCAC-1", "d15.data_TTCCTCTGTCGCAGTC-1", "d15.data_CGAGGCTAGTAGAGTT-1", "d15.data_CTCAACCCAGCCGTCA-1", "d15.data_AATGGAACACAGCCTG-1", "d15.data_CTTGATTCACGATAGG-1", "d15.data_GAGACCCGTAGACAAT-1", "d15.data_TTTGGAGGTTAAACAG-1", "d15.data_AGATAGATCGTGGCTG-1", "d15.data_CGTTCTGTCCTCTAAT-1", "d15.data_AACCAACCAGGATCTT-1", "d15.data_CTCCACATCGCGTAGC-1", "d15.data_CAGCCAGAGGTGATAT-1", "d15.data_AAGACAAAGGGCCCTT-1", "d15.data_CGCAGGTCACCCTATC-1", "d15.data_GGAATCTTCTCAACGA-1", "d15.data_TATATCCGTCTTGCGG-1", "d15.data_TTCTTGAAGATCGCCC-1", "d15.data_GGGTGAACAACACGAG-1", "d15.data_GAGTTACGTATACGGG-1", "d15.data_GTAGGAGGTTTCGTAG-1", "d15.data_CTGTATTCATGACTAC-1", "d15.data_TGCTTGCCATAACCCA-1", "d15.data_CATTCATTCAGGAAAT-1", "d15.data_CAACAGTTCGAAACAA-1", "d15.data_TACTGCCAGTTACTCG-1", "d15.data_GATGAGGTCAAGAAAC-1", "d15.data_TGTGGCGAGGTACAGC-1", "d15.data_AAAGGATGTCGTAATC-1", "d15.data_AGTGTTGAGTTAGAAC-1", "d15.data_TGATCAGTCAAAGGTA-1", "d15.data_AAGCGTTTCCCGTAAA-1", "d15.data_TATCAGGGTGACCGAA-1", "d15.data_GCACATAGTACGGCAA-1", "d15.data_CACAGGCAGGCTTCCG-1", "d15.data_TAACACGAGGCTATCT-1", "d15.data_AGGATCTAGCGAATGC-1", "d15.data_CTCGAGGTCGCAGAGA-1", "d15.data_CTGGACGGTACTCAAC-1", "d15.data_CCTTTGGCAATGTCTG-1", "d15.data_ATTCCATTCTAGTACG-1", "d15.data_ACTTTGTGTAGAATAC-1", "d15.data_TCAGTTTAGGCTAGCA-1", "d15.data_TCATTCAAGAATAGTC-1", "d15.data_CTCTCGAGTCAAAGAT-1", "d15.data_AGACAGGGTCGTACAT-1", "d15.data_TGAGCGCCACAGTCAT-1", "d15.data_GAGTCTAGTTGCCAAT-1", "d15.data_AACCATGGTCATAGTC-1", "d15.data_AGCCAGCTCGTTAGTG-1", "d15.data_GCACATATCGTCTAAG-1", "d15.data_ACGTAGTTCGACACCG-1", "d15.data_TACTTACCACAAGCAG-1", "d15.data_GCCTGTTTCCAACCGG-1", "d15.data_GAGTCATCACCACTGG-1", "d15.data_AGGTCATCAGATCCTA-1", "d15.data_GGCAGTCTCGAACCTA-1", "d15.data_TCTGGCTAGAATCGTA-1", "d15.data_CGTTCTGGTTGGTAGG-1", "d15.data_ACACCAAGTATGCTTG-1", "d15.data_ACTTATCGTTCTGACA-1", "d15.data_AACAACCCAAATGGCG-1", "d15.data_TGATTCTCACCGTGGT-1", "d15.data_CTCACTGCACTGGATT-1", "d15.data_ATTCACTTCAGCTGTA-1", "d15.data_ACGATGTCACCTGAAT-1", "d15.data_CCCTCAAAGTAGCCAG-1", "d15.data_TCCACCAAGCCAAGCA-1", "d15.data_GATCAGTTCTCCCATG-1", "d15.data_CAACCAAGTACAGAGC-1", "d15.data_GAAATGAGTCCAGCAC-1", "d15.data_AGATAGAGTAATGCTC-1", "d15.data_CGAGTTAAGAGTATAC-1", "d15.data_GCAGCTGTCTCGCAGG-1", "d15.data_CCACACTCACCCTGTT-1", "d15.data_AAACCCACACCAGTTA-1", "d15.data_ACGTACAAGGCAGGGA-1", "d15.data_ATTATCCAGTACTGTC-1", "d15.data_CAGGCCACATGACGTT-1", "d15.data_GTAGAGGCATCGAAGG-1", "d15.data_AACGTCAAGCCATTTG-1", "d15.data_GCGTTTCCACCCAATA-1", "d15.data_TGGGCTGTCCATTGTT-1", "d15.data_ATCGGATGTATCTTCT-1", "d15.data_TTGGGTACACAACGAG-1", "d15.data_TGGGAAGTCTCCGAGG-1", "d15.data_TCATCCGCACGACGCT-1", "d15.data_TTTGGAGAGATACTGA-1", "d15.data_TTCTCTCCAGCGTATT-1", "d15.data_ACAACCAAGGCCTGAA-1", "d15.data_GGCTGTGAGAGCCCAA-1", "d15.data_TTCGATTCAGTAACCT-1", "d15.data_GTCTACCCAGTTTCAG-1", "d15.data_GGAGGATTCGGTCAGC-1", "d15.data_GGGATGATCATCACTT-1", "d15.data_TCGACCTCAAATGAGT-1", "d15.data_GACAGCCCAACTCGTA-1", "d15.data_CATTGTTGTAGAGATT-1", "d15.data_TCCGAAAGTCTAATCG-1", "d15.data_CATCGGGTCACTACGA-1", "d15.data_TCATGTTTCAGTGTGT-1", "d15.data_ACTTATCAGACTGAGC-1", "d15.data_TTCAATCGTAATTGGA-1", "d15.data_GTGGGAACAGTGGTGA-1", "d15.data_ACACTGAGTAATTGGA-1", "d15.data_TATACCTGTTAACAGA-1", "d15.data_AGACCCGTCGTCTACC-1", "d15.data_TAGCACATCCTCGATC-1", "d15.data_CTGCGAGCACGCTGTG-1", "d15.data_ATCATTCAGGATACCG-1", "d15.data_TAGGTACGTACTGACT-1", "d15.data_GGGCCATTCTGAATCG-1", "d15.data_ACCAACACAGCCCACA-1", "d15.data_GTTGAACTCAGCTGAT-1", "d15.data_CACGTGGGTTCGGTAT-1", "d15.data_GACCGTGTCAGATTGC-1", "d15.data_GGAGGATCAAAGCACG-1", "d15.data_AGATCCAAGAAGGTAG-1", "d15.data_TTGACCCCATGACGTT-1", "d15.data_GAGATGGTCACCGGTG-1", "d15.data_CGGAATTCAAGTGATA-1", "d15.data_CCAATTTCACCGTACG-1", "d15.data_GTAGTACCATCCCGTT-1", "d15.data_AGCATCAGTAACGTTC-1", "d15.data_TTCCTTCGTACACGTT-1", "d15.data_CCTCATGGTATGAAGT-1", "d15.data_CAGGGCTTCGACGAGA-1", "d15.data_GAGACTTGTACTGTTG-1", "d15.data_GTAGAGGGTGCACGCT-1", "d15.data_TGAGACTTCTACCCAC-1", "d15.data_GCTCAAACAGTCGGTC-1", "d15.data_TAACACGTCGGAACTT-1", "d15.data_GTCATCCTCTTACGGA-1", "d15.data_AAACGCTCAACTCCAA-1", "d15.data_ACGTAGTCATAGAGGC-1", "d15.data_CATCCCAGTTCAAACC-1", "d15.data_CAGTTAGTCGAGCACC-1", "d15.data_CCGGACACACCTGATA-1", "d15.data_TTCAGGATCTCATTTG-1", "d15.data_CCCTCTCTCTCTCGCA-1", "d15.data_TCACGGGTCGCTACGG-1", "d15.data_GAGGCAACAGAGGACT-1", "d15.data_ACCCTTGTCGAGAATA-1", "d15.data_ATTTACCAGCACTTTG-1", "d15.data_GTCTGTCTCAGGACAG-1", "d15.data_CGGAACCAGCCTCAGC-1", "d15.data_ATGGATCAGCCATCCG-1", "d15.data_GTGAGTTTCCGGCAAC-1", "d15.data_TCCTCGATCGGCCAAC-1", "d15.data_TACACCCGTCATGCAT-1", "d15.data_AGAAGCGCAAACGAGC-1", "d15.data_GCTACCTGTTTGAAAG-1", "d15.data_AAGCCATTCTCCTGAC-1", "d15.data_ACGTAGTTCTGGGCAC-1", "d15.data_GTATTGGTCAACACCA-1", "d15.data_CTGCGAGGTTAGGCCC-1", "d15.data_ATTTACCGTGCCTTTC-1", "d15.data_GCATTAGCAAGCACAG-1", "d15.data_TAAGCCAAGCGACTTT-1", "d15.data_CACGTTCTCGGCGATC-1", "d15.data_TATCTTGTCTGTGCGG-1", "d15.data_CATTGTTTCGCCACTT-1", "d15.data_AGGTAGGTCTGGTGGC-1", "d15.data_GCAGTTAAGGGATCGT-1", "d15.data_TCGCACTGTATCCTCC-1", "d15.data_CCTCACAAGTCTGGAG-1", "d15.data_GACCTTCAGCTTCTAG-1", "d15.data_CAGTGCGTCATTTACC-1", "d15.data_TTTCCTCCACGGCCAT-1", "d15.data_ACAAAGAGTCATCTAG-1", "d15.data_TTTCGATTCCACGAAT-1", "d15.data_TTGGGTATCAGCATTG-1", "d15.data_GAGTTTGCACCGTGGT-1", "d15.data_CTCCACACACACCAGC-1", "d15.data_TTTCCTCTCTGGGAGA-1", "d15.data_GTGGCGTTCGTTTACT-1", "d15.data_GGTGTCGGTCACAGAG-1", "d15.data_TGACAGTTCCTGCCAT-1", "d15.data_TGGGCGTCAAGCGGAT-1", "d15.data_GGGACCTGTGATGAAT-1", "d15.data_CAAGGGAAGGGCTTCC-1", "d15.data_TATTCCAGTAGAGCTG-1", "d15.data_CGAAGTTCAGGTTCCG-1", "d15.data_ACTCTCGAGTCACTAC-1", "d15.data_TCTCAGCAGTGTAGAT-1", "d15.data_ACCACAAGTCTGTAAC-1", "d15.data_TGCTGAACACCGTGGT-1", "d15.data_GCCCGAACAAACCATC-1", "d15.data_GGGTCACGTGACTCGC-1", "d15.data_ACATCCCCAGACATCT-1", "d15.data_ATAGACCCACGTCTCT-1", "d15.data_CATAGACTCCTACACC-1", "d15.data_TACGGTACACACCGCA-1", "d15.data_ACTTTGTTCCCTGGTT-1", "d15.data_GCATCTCGTCCACGCA-1", "d15.data_AGAAGCGAGGTAGATT-1", "d15.data_AACAACCGTGTGAGCA-1", "d15.data_GAACGTTAGCCTCCAG-1", "d15.data_AGATCCAGTTGGTACT-1", "d15.data_TGGGAGAGTACTGTTG-1", "d15.data_TGTCAGACACTCCGAG-1", "d15.data_TTGTTCATCATGCCAA-1", "d15.data_TCACACCCAGTTAAAG-1", "d15.data_CTCTCAGTCCAGCAAT-1", "d15.data_GCGGATCAGGACAGTC-1", "d15.data_TTGGTTTAGCTGCCAC-1", "d15.data_GCTGCAGAGGCTATCT-1", "d15.data_GGTGTTACACCTGATA-1", "d15.data_ACACGCGCAAGTGATA-1", "d15.data_CATCCGTGTTCGGACC-1", "d15.data_TCACATTGTGGCTACC-1", "d15.data_GAACTGTTCGACGATT-1", "d15.data_CCCTAACTCAACGTGT-1", "d15.data_AAACCCAAGGCTCACC-1", "d15.data_ACCCTCAAGTTGTACC-1", "d15.data_TGAATGCCAAAGCACG-1", "d15.data_AGGGCCTTCTGCCTCA-1", "d15.data_AGATCGTAGATACGAT-1", "d15.data_AATCACGGTGTCTCCT-1", "d15.data_AGGTTACCACGTTGGC-1", "d15.data_TTCTAACAGGTGAGCT-1", "d15.data_ATTCACTGTCTTTCAT-1", "d15.data_CATTCATTCGACCACG-1", "d15.data_TGGTAGTTCTCTGCCA-1", "d15.data_CTGAGGCGTGTTGCCG-1", "d15.data_CGTTGGGAGCTGTCCG-1", "d15.data_TTCGGTCGTTTCCAAG-1", "d15.data_TTGACCCTCAACTACG-1", "d15.data_AACCCAATCGGCAGTC-1", "d15.data_CGCCAGATCCCAGTGG-1", "d15.data_TGACCCTAGGTCCAGA-1", "d15.data_TCGACCTGTGGTAACG-1", "d15.data_CAAGACTGTCACTGAT-1", "d15.data_TTCCTCTCACGCTTAA-1", "d15.data_GACACGCCACCTCGTT-1", "d15.data_TACTTGTGTGAGATTA-1", "d15.data_ACGTACATCCACCCTA-1", "d15.data_GCGGAAACAGGGATAC-1", "d15.data_AATCACGCATCCGGCA-1", "d15.data_ACGATGTAGCACCGAA-1", "d15.data_GTTACCCAGAAACACT-1", "d15.data_CACAGGCCAGCCATTA-1", "d15.data_TTTACGTAGACTTCCA-1", "d15.data_TGTGAGTGTCCCTCAT-1", "d15.data_TTTACCAAGTTCCAGT-1", "d15.data_ACTGTCCGTCAAAGTA-1", "d15.data_TTAGGCAGTTTGAAAG-1", "d15.data_CCGATGGCAATACGCT-1", "d15.data_ACTATTCTCTGAATCG-1", "d15.data_ATTCATCGTTCGGTTA-1", "d15.data_ATACTTCTCATTGCCC-1", "d15.data_CCCTAACGTCTGCCTT-1", "d15.data_CTCTCGAGTGCGTTTA-1", "d15.data_TAACCAGAGGTTCTAC-1", "d15.data_CTTAGGAAGTCAAGCG-1", "d15.data_AGTAGCTCATTCCTAT-1", "d15.data_AGTAGCTGTATGAAAC-1", "d15.data_GTCTCACTCCATCCGT-1", "d15.data_ACTTCCGTCTACCACC-1", "d15.data_AGGGTCCCACGCACCA-1", "d15.data_GGTGATTTCTGATGGT-1", "d15.data_TGGTGATGTAACGCGA-1", "d15.data_TTCTAACCAAGTGGAC-1", "d15.data_TTCTTCCTCCCGTTCA-1", "d15.data_CCGATGGGTCATCGGC-1", "d15.data_AGCGCTGTCCATTTGT-1", "d15.data_CAGATTGAGTAAGCAT-1", "d15.data_CTCGAGGGTTGGACCC-1", "d15.data_CGTCCATCACGTCATA-1", "d15.data_TTTACCATCCGTGTAA-1", "d15.data_GTTACCCAGACTGTTC-1", "d15.data_ATTCGTTCAGACGCTC-1", "d15.data_TCCTCTTGTTTGGCTA-1", "d15.data_CCGTTCATCTGGCTGG-1", "d15.data_AGCGATTAGTTTGAGA-1", "d15.data_TTATTGCGTTGCTCGG-1", "d15.data_GTCAAACAGAGCTGCA-1", "d15.data_AACAAGACACAGCCTG-1", "d15.data_CCGGGTAAGGCAGGGA-1", "d15.data_TCTTGCGCAACTCGAT-1", "d15.data_CTCGAGGCACGAGGAT-1", "d15.data_TCATACTAGCGGGTAT-1", "d15.data_ACCCAAAAGAATTGCA-1", "d15.data_CCTAAGATCGTAGAGG-1", "d15.data_CTCCCTCTCATTCATC-1", "d15.data_AGAACAAAGAAGCTGC-1", "d15.data_TGTGTGAAGTATAGAC-1", "d15.data_AGAAGTATCTATCCAT-1", "d15.data_TCACGCTGTAAGATAC-1", "d15.data_TACATTCTCACCGGGT-1", "d15.data_CTCATTAAGGATATAC-1", "d15.data_TTGTTTGCATGAGAAT-1", "d15.data_CTACAGACAACACACT-1", "d15.data_GCTACAATCATGAGGG-1", "d15.data_TGCACGGAGGCCTTCG-1", "d15.data_TGCGATATCAGCCCAG-1", "d15.data_CTAACTTGTTGCTTGA-1", "d15.data_ACGTACAGTGGAGAAA-1", "d15.data_GAAGCGAAGCTATCCA-1", "d15.data_GAAGCGATCGTTCATT-1", "d15.data_CTTGAGACAATAGTCC-1", "d15.data_GTCATCCTCGCGTGCA-1", "d15.data_CTCGAGGTCCTTTAGT-1", "d15.data_TACCTCGTCGTTATCT-1", "d15.data_TATACCTTCGTTAGAC-1", "d15.data_TCGGGACTCATGCCAA-1", "d15.data_GTCAAGTCAGTTTCGA-1", "d15.data_GTCTAGAGTTGCCAAT-1", "d15.data_TGACGCGAGCCTAGGA-1", "d15.data_AGACCATTCTCAACGA-1", "d15.data_ACCCTCAAGACAAGCC-1", "d15.data_ACCCAAACACTTGTGA-1", "d15.data_GTTATGGTCCATTTAC-1", "d15.data_AACGAAACACCCTAGG-1", "d15.data_GGTAATCGTTGGGTTT-1", "d15.data_CAGATACGTCAACACT-1", "d15.data_TACTTCATCCGGGACT-1", "d15.data_TACCGAAGTTTGAACC-1", "d15.data_CTCCAACCACATATCG-1", "d15.data_GAATAGAGTTCGAAGG-1", "d15.data_CATCCACGTGGCTTAT-1", "d15.data_ATCGATGCAAGTGGAC-1", "d15.data_AGATGCTTCATTGAGC-1", "d15.data_CAGATTGCAGCTGTAT-1", "d15.data_GGAGGATCAGAAATTG-1", "d15.data_AAACCCATCTAAGAAG-1", "d15.data_TCATGTTTCTCAGAAC-1", "d15.data_GGAGCAACACCAGACC-1", "d15.data_TCAGCCTCAACATACC-1", "d15.data_GTGCACGCATCATGAC-1", "d15.data_CACCAAATCCGCACTT-1", "d15.data_AAAGGGCTCGCAGTCG-1", "d15.data_TCCTTTCTCTGATGGT-1", "d15.data_ATTGGGTAGTAGGGTC-1", "d15.data_GTGCGTGAGCTCGACC-1", "d15.data_CAAAGAAGTATCACCA-1", "d15.data_GTATTTCCATCCGAAT-1", "d15.data_GTTACAGGTCTTTCTA-1", "d15.data_GCAACATAGTTGAAGT-1", "d15.data_AACGTCAAGCAGATAT-1", "d15.data_CTTCGGTTCGAACCTA-1", "d15.data_CTACCTGTCGCATGAT-1", "d15.data_GCCTGTTCAAGAGAGA-1", "d15.data_GTGCGTGCATGGGATG-1", "d15.data_CTGTACCTCTTGTTAC-1", "d15.data_CAATGACTCCCATACC-1", "d15.data_TCAGTCCGTTGATGTC-1", "d15.data_CCTCAACGTACAAACA-1", "d15.data_ACAGAAACACCACTGG-1", "d15.data_CACGTTCGTTTACTGG-1", "d15.data_CAACCTCTCCCAAGTA-1", "d15.data_TCACGGGAGGGCAAGG-1", "d15.data_TACCCGTTCACTGTCC-1", "d15.data_AGACACTAGCAACTTC-1", "d15.data_GGGTGAAAGATCCTAC-1", "d15.data_CTCAACCCATCTCGTC-1", "d15.data_CTCCTCCCACAAGCCC-1", "d15.data_GATCACACACACGCCA-1", "d15.data_TTCTAACGTACGTACT-1", "d15.data_GAATAGAGTCTTCAAG-1", "d15.data_TAGATCGGTCCGGCAT-1", "d15.data_ACTTATCCAACGATTC-1", "d15.data_TTGGGCGTCCAATGCA-1", "d15.data_GGGCTCATCACCTCTG-1", "d15.data_GCCAGGTTCAAAGCCT-1", "d15.data_TATTCCAGTCTCAGAT-1", "d15.data_GATAGCTCAGGGTCTC-1", "d15.data_AGAGAATGTACATACC-1", "d15.data_TAGACTGGTCACTCGG-1", "d15.data_AAGTGAATCGAGTACT-1", "d15.data_CATGCAATCGAGAAGC-1", "d15.data_TTCCTAACAGGGACTA-1", "d15.data_TTACCATCATAAGCGG-1", "d15.data_CACAGATGTAGCGCCT-1", "d15.data_TCGGTCTCACTCAAGT-1", "d15.data_GAAGGACGTGAGAGGG-1", "d15.data_TCTAACTGTGTGACCC-1", "d15.data_GTAGCTAGTACCGGCT-1", "d15.data_ATCACAGCAACTCGTA-1", "d15.data_ACGATCAGTCGCTTAA-1", "d15.data_TCTACATTCGCCAGTG-1", "d15.data_TTGTTCAGTCATAACC-1", "d15.data_GCCATTCGTTTCACAG-1", "d15.data_AAACGCTCACGCAAAG-1", "d15.data_ACGATCAAGCACTCGC-1", "d15.data_ACGTAGTGTGTACATC-1", "d15.data_GAGTCATCACTAGTAC-1", "d15.data_GTACAACGTACCTAAC-1", "d15.data_ACGGTTACAGCCTTCT-1", "d15.data_TCAAGACAGTCCTGCG-1", "d15.data_TAACGACCAGTCAGTT-1", "d15.data_CATTGCCGTAGGTCAG-1", "d15.data_CACAACATCCTTTGAT-1", "d15.data_TTGCCTGCAGCACGAA-1", "d15.data_GCATCTCCAGACAATA-1", "d15.data_AGAGCCCAGGTCGTAG-1", "d15.data_GTGAGCCTCTCGGTCT-1", "d15.data_TCGCACTAGCAACAAT-1", "d15.data_GCCATGGGTCGTATGT-1", "d15.data_ATTCCTAGTAGGACCA-1", "d15.data_TCCTAATAGGCCTGAA-1", "d15.data_AAGACTCCAGTGCGCT-1", "d15.data_AGTTCGATCAGAGCGA-1", "d15.data_GACGCTGTCATCGTAG-1", "d15.data_TAACGACTCACAGTGT-1", "d15.data_CTGCTCAGTCTGTCCT-1", "d15.data_GATAGAACAGGCGTTC-1", "d15.data_TCAAGACAGGTCCCGT-1", "d15.data_TCGCACTCAAGCGATG-1", "d15.data_CTTCCTTAGTCATCGT-1", "d15.data_TGATTTCGTTCCTACC-1", "d15.data_CGCCATTTCGCAGATT-1", "d15.data_GGGCTCAGTTCGAACT-1", "d15.data_ATCACAGCAAGGAGTC-1", "d15.data_CCGGTAGTCCCTTTGG-1", "d15.data_ATCACTTCAGTTCTAG-1", "d15.data_ACCACAACAAATCCCA-1", "d15.data_CACGAATCATTGCCTC-1", "d15.data_GAACGTTTCAGGAAAT-1", "d15.data_AACAAGATCCGTATGA-1", "d15.data_GAGTTACGTCCACTCT-1", "d15.data_AAGTCGTCACCGGTCA-1", "d15.data_AACAAAGTCGTGCTCT-1", "d15.data_GCTTTCGTCACTCCGT-1", "d15.data_GTCTACCAGTCGAAGC-1", "d15.data_TTCCGGTTCACCTACC-1", "d15.data_AACGAAAGTTCCTTGC-1", "d15.data_ATACCGAAGCTTCATG-1", "d15.data_CCGGACATCAGTGTTG-1", "d15.data_CTGTGGGTCATACGGT-1", "d15.data_CTACCTGTCCTAAGTG-1", "d15.data_CCGTGAGTCCGAAATC-1", "d15.data_GCTGCAGCAACCGTAT-1", "d15.data_ACTTATCCACAAGTTC-1", "d15.data_CCTGCATAGCAAACAT-1", "d15.data_AATGACCAGGCATCTT-1", "d15.data_ACTTAGGAGCCTTCTC-1", "d15.data_GCCCGAATCCACCTGT-1", "d15.data_GTCTAGACACATACTG-1", "d15.data_TCTTAGTCAGCACACC-1", "d15.data_GTCTACCCAAGCCATT-1", "d15.data_CGAGGCTCACCCTAAA-1", "d15.data_CGCGTGAAGTGCTAGG-1", "d15.data_CATGAGTAGCCAACCC-1", "d15.data_TCCTGCATCGCGTGCA-1", "d15.data_GTGCACGGTTACTCAG-1", "d15.data_ATGGATCCATACATCG-1", "d15.data_CCTCAGTCAAACCACT-1", "d15.data_CGCCATTCAGCAGATG-1", "d15.data_TTACCGCTCCATCTAT-1", "d15.data_CATACCCTCGGTCTAA-1", "d15.data_AATTCCTTCCACAGCG-1", "d15.data_TCCTTTCGTCAGACGA-1", "d15.data_ATTCCTACAGGCATTT-1", "d15.data_ATTGTTCCAACCAACT-1", "d15.data_GAGACCCCAACACTAC-1", "d15.data_CTCTCAGTCATTCCTA-1", "d15.data_AGTTAGCTCGCTCATC-1", "d15.data_CTTCCTTAGACGCCAA-1", "d15.data_AATGACCAGCCTCAAT-1", "d15.data_CTCCACAGTACCGGCT-1", "d15.data_CTAACCCAGCTGTACT-1", "d15.data_GAGTTGTCAATACAGA-1", "d15.data_GCAGGCTTCCCATGGG-1", "d15.data_TTACCGCCACAATGCT-1", "d15.data_TGCCGAGGTGGACTGA-1", "d15.data_ATTCCATGTCCTCATC-1", "d15.data_GCATCTCGTGGTCCGT-1", "d15.data_CATTGAGCAGCACGAA-1", "d15.data_CATGAGTTCTTAGCAG-1", "d15.data_CCCGGAAAGCTCCACG-1", "d15.data_GGAGGATCAAGGCGTA-1", "d15.data_CGTAATGTCCTTCAGC-1", "d15.data_CATACCCTCACACCGG-1", "d15.data_GATCATGCAATCTCTT-1", "d15.data_TGGGAGATCAGCGCAC-1", "d15.data_AGTGACTCATGAAAGT-1", "d15.data_GAGACCCTCTTGGATG-1", "d15.data_CATCCGTGTGGCCCAT-1", "d15.data_CCAAGCGAGGATACCG-1", "d15.data_CTGAATGCACCCTAGG-1", "d15.data_AACAAAGGTCATCCCT-1", "d15.data_TGTTACTCACACCTGG-1", "d15.data_CGTGAATTCCCTGGTT-1", "d15.data_ACATTTCAGTAGTCTC-1", "d15.data_CCTACGTCACGTACTA-1", "d15.data_GCCCAGACAGCTTTCC-1", "d15.data_TTAATCCTCTAGGCAT-1", "d15.data_TACACCCGTCGGAACA-1", "d15.data_TAAGCCAAGCGAATGC-1", "d15.data_GACTCAACACGGCTAC-1", "d15.data_CTGTGGGCAACCGATT-1", "d15.data_TCCTCCCGTATTGACC-1", "d15.data_GGTCACGGTATCCTTT-1", "d15.data_TCAAGACGTGAATAAC-1", "d15.data_ATGAGGGAGATGACCG-1", "d15.data_TCAGTCCGTTCTCGCT-1", "d15.data_CTCAACCGTCACTCAA-1", "d15.data_CATACCCCACCGCTGA-1", "d15.data_ATGTCTTGTAGTGATA-1", "d15.data_CATCAAGAGATACAGT-1", "d15.data_GTCATGAGTCGCCTAG-1", "d15.data_ACACAGTTCGATAACC-1", "d15.data_AGAACCTCAGAGGCAT-1", "d15.data_GCTACCTGTGGAGAAA-1", "d15.data_TTCCTTCTCAGTCAGT-1", "d15.data_TGGGAGAAGTCCCAAT-1", "d15.data_CGGAATTCACATGGTT-1", "d15.data_TCAGGGCAGGTTTGAA-1", "d15.data_GGTCACGTCTAGAACC-1", "d15.data_CCTGCATGTTACGCCG-1", "d15.data_GGTCACGAGGGCAGTT-1", "d15.data_CATCGGGCAAACAGGC-1", "d15.data_GCCTGTTTCGGATAAA-1", "d15.data_TGGGATTCAGTCACGC-1", "d15.data_CAACGGCCAACTGAAA-1", "d15.data_AGACAAAAGTCAGCCC-1", "d15.data_TCATGCCTCATAGCAC-1", "d15.data_CCATCACCACATGAAA-1", "d15.data_TCGTAGAGTCCAAAGG-1", "d15.data_CTTCCGACACCGGCTA-1", "d15.data_CTCCGATGTTGCAACT-1", "d15.data_AGACTCAGTCAACCAT-1", "d15.data_ATTCATCAGCACACCC-1", "d15.data_CAGGTATCAAGAGATT-1", "d15.data_GGACGTCCACAGAGCA-1", "d15.data_GTTGAACCACTTACAG-1", "d15.data_ACGGGTCCAGCAGAAC-1", "d15.data_ATATCCTGTGCAACGA-1", "d15.data_CGAGGCTCAGTTGTTG-1", "d15.data_TTCAATCCATTCTCCG-1", "d15.data_CCTGCATTCGCCAGTG-1", "d15.data_TCAAGACAGACCAACG-1", "d15.data_GAGTGTTCATCGTTCC-1", "d15.data_TCTTAGTCACTATCGA-1", "d15.data_CGCGTGAGTATTCCTT-1", "d15.data_AGATGCTCAAGTGCAG-1", "d15.data_CAAGAGGAGAGGGTGG-1", "d15.data_CCTCCAACAAGAGTGC-1", "d15.data_GTAGAAATCGACCACG-1", "d15.data_TCGCACTTCTAGGCCG-1", "d15.data_GGGACTCTCGACACTA-1", "d15.data_GGCGTCACACGCGTCA-1", "d15.data_CTAGACACAATTGAAG-1", "d15.data_TAGATCGCACCTCGTT-1", "d15.data_GGGACCTTCTCCAATT-1", "d15.data_AGAGCCCAGGGAGAAT-1", "d15.data_TGGTTAGGTGCGGTAA-1", "d15.data_TCTATCATCATACGAC-1", "d15.data_GACTCTCCACCCATAA-1", "d15.data_ATTACTCGTTCCTTGC-1", "d15.data_GAGTTTGCAAAGGTTA-1", "d15.data_AACCTGAAGAAGTCTA-1", "d15.data_CGCAGGTAGGTCACAG-1", "d15.data_TTGCATTCAGCATTGT-1", "d15.data_ACCGTTCTCCACTGAA-1", "d15.data_CCAATTTGTATCCCTC-1", "d15.data_AGCCAGCCACTATCCC-1", "d15.data_CATCGCTGTGAATTAG-1", "d15.data_CCTTCAGGTCTTGCTC-1", "d15.data_CATCCCACAGGCTATT-1", "d15.data_TGCTTGCGTTAAGCAA-1", "d15.data_TCCTTTCCACATTACG-1", "d15.data_CATTTCACAGGCGAAT-1", "d15.data_GAATAGAGTCGAGTGA-1", "d15.data_CAGCAGCCATCAGTGT-1", "d15.data_CAGCACGGTGGACCTC-1", "d15.data_TGGGTTAAGTGATTCC-1", "d15.data_CGCATGGTCACTGTTT-1", "d15.data_CCGTTCAGTACAGTCT-1", "d15.data_TGAATCGAGCAAGCCA-1", "d15.data_GCATCGGCAACACGTT-1", "d15.data_TCGGGCAAGCAAATCA-1", "d15.data_GTCCACTTCAGCCTTC-1", "d15.data_TAACGACTCACCGGGT-1", "d15.data_TGATCTTAGGCCACTC-1", "d15.data_TACAACGCAATTGCCA-1", "d15.data_TCAGGTACAAGGCGTA-1", "d15.data_GTAGTACCACCGTGCA-1", "d15.data_TTAGGCATCAAGAAAC-1", "d15.data_CATTCATAGCACTCTA-1", "d15.data_CTTCAATCAGAGATGC-1", "d15.data_TACCGGGGTGTGACCC-1", "d15.data_ACCTACCAGCATCTTG-1", "d15.data_TCCTGCAGTCAAAGTA-1", "d15.data_ATCTCTACACTCTAGA-1", "d15.data_CGGAACCAGGGAGTGG-1", "d15.data_AGATGAATCACTCACC-1", "d15.data_TGAGGGAAGAAGCCAC-1", "d15.data_ATCGCCTGTGTCTTCC-1", "d15.data_TTTAGTCTCCATCTAT-1", "d15.data_GGAAGTGCACTTCCTG-1", "d15.data_CTAACTTGTCGGTACC-1", "d15.data_GTGAGCCTCGCATGAT-1", "d15.data_CAAGGGACACATATGC-1", "d15.data_GATTTCTCACAGTCGC-1", "d15.data_TGCATGAGTCCACACG-1", "d15.data_TGCATCCGTACTAGCT-1", "d15.data_GACAGCCCACTCCCTA-1", "d15.data_TTACGTTTCCAGCAAT-1", "d15.data_TGCTTCGCACTGCATA-1", "d15.data_GGTGAAGCAGCGTTTA-1", "d15.data_AGGTCTATCGGCACTG-1", "d15.data_CACGGGTTCAACCTTT-1", "d15.data_CACTGTCGTTCGTTCC-1", "d15.data_ACAGCCGAGAAATTGC-1", "d15.data_CGGAACCCATCCGAAT-1", "d15.data_CCCTCAAAGACGACTG-1", "d15.data_GAGACCCTCACCTCGT-1", "d15.data_TAGCACAGTTCCGCGA-1", "d15.data_CGTTAGAAGTTCACTG-1", "d15.data_GTACAGTAGCCAAGTG-1", "d15.data_ATCCATTGTCACTCGG-1", "d15.data_CACTGTCCACACGTGC-1", "d15.data_CGTGATACACCAAATC-1", "d15.data_GTTAGACCATACCGTA-1", "d15.data_ATCACAGAGACTCGAG-1", "d15.data_ATCCCTGGTGACAGCA-1", "d15.data_TTTACGTCAATCAAGA-1", "d15.data_ACCATTTTCTGACAGT-1", "d15.data_CAGATCATCCCTGTTG-1", "d15.data_TCTATCAAGGTTCAGG-1", "d15.data_AAACGCTAGACGAGCT-1", "d15.data_CTCCTCCTCGATGCAT-1", "d15.data_CGAGTGCAGATCGACG-1", "d15.data_GGTGATTGTACTGGGA-1", "d15.data_AAGAACAAGACTACCT-1", "d15.data_CGACAGCAGCGCCCAT-1", "d15.data_CAAAGAAGTAACATAG-1", "d15.data_CACGTTCTCGTAATGC-1", "d15.data_ACACGCGCATCTATCT-1", "d15.data_TACATTCTCACCTACC-1", "d15.data_CCAATGATCCGACGGT-1", "d15.data_AACCCAACATCGTCCT-1", "d15.data_TTCAATCCAGGTCAGA-1", "d15.data_CTGCCATCAGCATTGT-1", "d15.data_TCATATCCACAACGTT-1", "d15.data_ATCCATTCAAAGCACG-1", "d15.data_CTCCATGCAATCGCCG-1", "d15.data_ATGAAAGTCCTCACTG-1", "d15.data_GTCATGACAGCGGTTC-1", "d15.data_CCGTAGGCAGCAGACA-1", "d15.data_AAAGGATCACACGCCA-1", "d15.data_TGGTACAGTGAACTAA-1", "d15.data_TTGGGATCATGCGGTC-1", "d15.data_TCATATCCAGCAAGAC-1", "d15.data_CCGTTCACAGTCTCTC-1", "d15.data_ATGCCTCCAATCGCAT-1", "d15.data_GGGTGTCTCGTAACTG-1", "d15.data_CTACATTTCTTCGGAA-1", "d15.data_TATATCCTCGAACACT-1", "d15.data_TACACCCAGCTATCTG-1", "d15.data_CACGAATTCACGACTA-1", "d15.data_AAACGCTTCTGCAGCG-1", "d15.data_AGCTCAACACAAAGCG-1", "d15.data_AACAACCTCTACCCAC-1", "d15.data_ACCAAACAGTCATGCT-1", "d15.data_AGTACCACACAATCTG-1", "d15.data_TACGTCCGTAACGGTG-1", "d15.data_AAGAACAGTGCTGCAC-1", "d15.data_CGAATTGCAAGAGAGA-1", "d15.data_TAAGCGTAGCCACCGT-1", "d15.data_CAGCCAGCAATACCTG-1", "d15.data_AAACCCATCGATCCCT-1", "d15.data_ATTCAGGCAGAGTTCT-1", "d15.data_TCTCACGTCCCTTCCC-1", "d15.data_CTGCATCTCCTACGAA-1", "d15.data_CAACAGTGTGATTAGA-1", "d15.data_CAATTTCTCTGTCCGT-1", "d15.data_TAATCTCCAATGCTCA-1", "d15.data_GGGACAATCCCGTGAG-1", "d15.data_ACTTATCAGAGCTGAC-1", "d15.data_TGGTGATGTAGACTGG-1", "d15.data_TCATGCCCACCTGCTT-1", "d15.data_CGTGCTTAGTTTCGAC-1", "d15.data_AAATGGAGTTCCGTTC-1", "d15.data_ATGGGAGTCTGGACTA-1", "d15.data_CTCCAACGTAAGTTAG-1", "d15.data_GATTCGATCCCGAAAT-1", "d15.data_ACGTAGTCACCGTGGT-1", "d15.data_TCCTGCATCCTCATAT-1", "d15.data_AGTTCCCCAGGCACTC-1", "d15.data_TCAATTCTCATCTACT-1", "d15.data_ACAGCCGAGCAATTCC-1", "d15.data_TTCAGGACAGTCAGCC-1", "d15.data_AGACCATTCAGCTGAT-1", "d15.data_TCCTGCACACCGTACG-1", "d15.data_ACGGTCGAGTCACAGG-1", "d15.data_GATGGAGCAATACCTG-1", "d15.data_TGACGCGAGAATTCAG-1", "d15.data_TTACCGCTCTCCTGCA-1", "d15.data_GGTCACGCAAGTGGCA-1", "d15.data_TGTTACTAGCGCCTCA-1", "d15.data_GAGGCCTGTCGCATTA-1", "d15.data_AACCTTTTCGGCTGAC-1", "d15.data_GGTCACGTCACATACG-1", "d15.data_TCCTAATTCTGGCCAG-1", "d15.data_AACCACAGTAGTCCTA-1", "d15.data_AATTTCCTCGTTCCTG-1", "d15.data_TGGAACTCAAACCATC-1", "d15.data_GGTGTCGCACGGATCC-1", "d15.data_GAAGGGTTCAGCACCG-1", "d15.data_ATCGTGACACTACGGC-1", "d15.data_CTGCGAGTCGGATTAC-1", "d15.data_TCTCAGCTCCGTCACT-1", "d15.data_TACCGAAAGCGCCTAC-1", "d15.data_TCAGTGAGTCACTTAG-1", "d15.data_AACAACCAGACAGCTG-1", "d15.data_TACCCACCATTCAGCA-1", "d15.data_TGGGAAGTCTAACGGT-1", "d15.data_TCTAACTTCTGACCCT-1", "d15.data_GCCAGTGCAGAATGTA-1", "d15.data_GAGGGATAGCGAAACC-1", "d15.data_AGGTAGGGTCGGCTAC-1", "d15.data_CGCCATTTCTCACTCG-1", "d15.data_AGTCATGAGTAACGTA-1", "d15.data_TCACGCTTCACTGTCC-1", "d15.data_TTAGGGTCATCGTTCC-1", "d15.data_ACATCGACACAAGCCC-1", "d15.data_CCGGGTATCATACGAC-1", "d15.data_TGCTCCACAAACTAGA-1", "d15.data_AACAAGACAACAACAA-1", "d15.data_TCAAGACTCAAACCTG-1", "d15.data_TTCAGGAAGTTACGTC-1", "d15.data_GTGTCCTAGGGAACAA-1", "d15.data_GTAGTACAGGAATTAC-1", "d15.data_GGGAGTACATGGCGCT-1", "d15.data_CATGAGTTCCTTCACG-1", "d15.data_TTCCTAAGTTGTCAGT-1", "d15.data_TGGAACTGTTTGCAGT-1", "d15.data_TTCACGCGTTCGATTG-1", "d15.data_CAGATTGCACGGTGTC-1", "d15.data_CAACCAAAGTGACCTT-1", "d15.data_TTTATGCTCCAACCAA-1", "d15.data_TGATCAGTCCTACGGG-1", "d15.data_AGAAGTATCTGCGGCA-1", "d15.data_TCTACATAGGCCTAGA-1", "d15.data_GATGAGGGTAACATAG-1", "d15.data_CCTACGTTCTAAACGC-1", "d15.data_CATAGACTCAATCAGC-1", "d15.data_ACCATTTTCCTTTGAT-1", "d15.data_ACGATCATCGTTCATT-1", "d15.data_TCCATGCTCTTGGGCG-1", "d15.data_TGATTTCTCATTCCTA-1", "d15.data_CCAATGAGTTTCCAAG-1", "d15.data_TATCCTACACCGTCGA-1", "d15.data_TACGCTCGTCACCGAC-1", "d15.data_AGGGCTCGTAGCCCTG-1", "d15.data_GATCCCTTCGTGCACG-1", "d15.data_AGTTAGCAGCGGATCA-1", "d15.data_CAGATACTCGAACGCC-1", "d15.data_GTGGAAGGTACCTTCC-1", "d15.data_AACAAGAAGGTTCACT-1", "d15.data_TGTAGACGTATTTCCT-1", "d15.data_GTCTTTAGTAGCGTAG-1", "d15.data_TACAACGGTCGTTGCG-1", "d15.data_ATCTTCACATGCAGGA-1", "d15.data_TTCCTCTGTGCTGATT-1", "d15.data_TGAGCGCCAGTAACCT-1", "d15.data_CACGTTCGTGCTTATG-1", "d15.data_GGGTATTGTGTCGATT-1", "d15.data_ATCCCTGGTATCCCTC-1", "d15.data_AATGCCAGTATTGACC-1", "d15.data_CGTTAGAAGTCGCTAT-1", "d15.data_ACCCTCAGTTACCGTA-1", "d15.data_GTGTAACAGATGAAGG-1", "d15.data_GAAGTAAAGTATAGAC-1", "d15.data_TGATGCAGTCGGTGAA-1", "d15.data_TAGGGTTTCTCGCAGG-1", "d15.data_TTCTTGATCGAGTCCG-1", "d15.data_GGTTGTAGTCTGATAC-1", "d15.data_CCGATCTCACATATCG-1", "d15.data_CATACTTAGTAGTCAA-1", "d15.data_TTTACGTAGAAGTCTA-1", "d15.data_GATCAGTTCTTTGCAT-1", "d15.data_CTCAGTCGTTGCGAAG-1", "d15.data_ACTTTGTGTAACGCGA-1", "d15.data_TCCATGCAGAAGCTGC-1", "d15.data_CCCGAAGCACCACATA-1", "d15.data_TCAAGACAGCCTGACC-1", "d15.data_GTCTAGAGTGCATGAG-1", "d15.data_CATTTCATCCAAACCA-1", "d15.data_CATTCTAAGAAGCGGG-1", "d15.data_AGACCATCATCTCCCA-1", "d15.data_TGTGAGTAGTATGGCG-1", "d15.data_AAGTTCGAGCTCATAC-1", "d15.data_TTTGTTGAGGGCAGAG-1", "d15.data_CGAAGGATCGTCTCAC-1", "d15.data_CCAATTTGTAAGCAAT-1", "d15.data_TTACCATCATTGCAAC-1", "d15.data_CGAAGGACATCTGGGC-1", "d15.data_TGGAGAGAGCCACAAG-1", "d15.data_GAGTTGTGTCACCGCA-1", "d15.data_AAGCGAGGTACCTAAC-1", "d15.data_GGGTCACGTATGTCAC-1", "d15.data_GAGTGTTTCTCTCGAC-1", "d15.data_CTTACCGCAGACTCTA-1", "d15.data_CAGCACGGTCCTACGG-1", "d15.data_CTACGGGAGACATAGT-1", "d15.data_TTTCATGGTAGAAACT-1", "d15.data_ATTCATCCATACTTTC-1", "d15.data_CATTGTTCACGTGAGA-1", "d15.data_TCTATCAAGCGTGAGT-1", "d15.data_TCATGTTAGTCTTCCC-1", "d15.data_CTAGGTATCTGCTTTA-1", "d15.data_AGGGTGAGTAGGCTGA-1", "d15.data_ACTCTCGTCCGACATA-1", "d15.data_TCTACATGTCCTTAAG-1", "d15.data_GTGGAAGGTTTCCAAG-1", "d15.data_TAGGTTGTCCGATAAC-1", "d15.data_AGCTCAAGTTACCTGA-1", "d15.data_CATCGTCCATCGAACT-1", "d15.data_GCTCAAAAGCCGGATA-1", "d15.data_AGTGCCGCACCTCTAC-1", "d15.data_GAATAGAAGTCCTGTA-1", "d15.data_TCCATCGTCAGGACGA-1", "d15.data_AGGTCATCAGCAGGAT-1", "d15.data_TCCTCGATCGACCCAG-1", "d15.data_TAACTTCGTCCTGAAT-1", "d15.data_ACCATTTCATACTTTC-1", "d15.data_ATGTCCCAGATTTGCC-1", "d15.data_GTTGTAGCACACAGCC-1", "d15.data_CACATGACATCCAACA-1", "d15.data_CGAATTGTCCACACCT-1", "d15.data_TGGAGAGAGATGCAGC-1", "d15.data_ATCATTCTCGGCCAAC-1", "d15.data_TGTTCCGGTCTACGTA-1", "d15.data_TCACGCTTCACACCCT-1", "d15.data_TGATCAGAGGTCCGAA-1", "d15.data_AATGAAGCAATGTTGC-1", "d15.data_CTGCATCCAGATCCAT-1", "d15.data_GCATCTCGTTCATCTT-1", "d15.data_CATGCGGGTATGGGAC-1", "d15.data_TGACCCTAGCAGGCTA-1", "d15.data_TCAATTCGTATTGACC-1", "d15.data_TCTTTGAGTATAGGGC-1", "d15.data_GTAGAAAAGCCGATTT-1", "d15.data_TCAGCAACAGGATTCT-1", "d15.data_TCCATGCAGTTCCGGC-1", "d15.data_CCCTCAATCGAACTCA-1", "d15.data_ACAGCCGGTGTCCGTG-1", "d15.data_GGATGTTAGAAACTGT-1", "d15.data_TAAGTCGAGTGGTTCT-1", "d15.data_CTCAAGAAGCACACAG-1", "d15.data_GGGATCCAGGACTATA-1", "d15.data_CAGCAATCAGGCTACC-1", "d15.data_AACCTTTCACAGTGAG-1", "d15.data_TACCTCGTCTGAGCAT-1", "d15.data_GTGGGAACATACAGCT-1", "d15.data_TGTGAGTTCGAACGCC-1", "d15.data_TATCAGGCATTCTGTT-1", "d15.data_TCACACCTCAACTGGT-1", "d15.data_TATCCTACATCCGCGA-1", "d15.data_TGCACGGGTTTCGTAG-1", "d15.data_CACGTTCCAGACAATA-1", "d15.data_AAGCCATAGCTTTCTT-1", "d15.data_ACTCCCATCATGTCAG-1", "d15.data_GCACGTGCATCCTTGC-1", "d15.data_TGAGGTTCAGCTAACT-1", 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6663, 6663, 5618, 5138, 6877, 6877, 6229, 6229, 6874, 6893, 5509, 6893, 5032, 5063, 5063, 6207, 5032, 6825, 5532, 5532, 6620, 5577, 5623, 5577, 5428, 6825, 5532, 5722, 5444, 6731, 5148, 6899, 6239, 5591, 5247, 6800, 6239, 6239, 5009, 5870, 6577, 5936, 5969, 6418, 5969, 5438, 6418, 5198, 6460, 6460, 6300, 6607, 6876, 6896, 5140, 5498, 5498, 4938, 4938, 4993, 4993, 4938, 5628, 4938, 93, 5364, 6150, 4937, 5065, 5652, 5920, 6091, 6727, 5652, 5580, 5580, 6359, 5617, 6185, 6185, 5414, 5617, 5948, 5411, 5411, 5948, 5585, 5570, 5570, 5828, 5828, 5416, 5703, 5334, 5585, 5703, 5508, 5910, 5910, 6187, 5508, 5190, 6512, 5808, 4979, 5190, 6543, 4985, 5828, 5828, 6543, 5619, 5210, 5473, 6483, 5473, 5930, 5930, 6091, 6091, 5334, 5920, 6091, 5987, 5987, 6053, 5096, 4995, 5096, 6815, 4943, 4943, 6723, 6559, 5200, 5828, 4953, 5185, 5185, 6216, 5726, 6643, 5520, 5726, 6240, 6240, 6191, 6191, 5494, 5339, 5520, 5565, 5178, 5643, 5303, 5303, 6216, 5942, 6235, 6235, 6306, 5726, 5253, 5726, 5373, 7, 4662, 2008, 1790, 1790, 3228, 3210, 7, 85, 1987, 3756, 1987, 3293, 2097, 4398, 1373, 2969, 3376, 647, 3039, 3039, 1790, 2008, 2969, 3376, 7921, 7921, 9910, 9910, 9071, 7571, 7872, 7872, 7921, 7748, 7921, 9179, 9049, 7748, 7748, 7930, 7930, 8249, 9007, 9007, 9731, 6936, 6936, 9472, 9472, 7698, 8458, 8458, 8810, 8810, 7453, 7453, 7763, 7763, 7914, 6978, 9841, 9860, 6952, 7440, 7099, 7459, 7459, 7266, 7266, 7332, 7257, 7332, 7266, 7266, 7300, 7434, 7195, 7434, 8908, 8575, 9369, 8427, 7934, 7947, 8786, 10013, 8459, 7947, 7947, 7868, 7868, 8480, 7329, 9426, 9358, 9358, 8003, 8003, 9574, 9358, 9358, 7329, 9574, 7387, 7932, 7932, 7533, 7387, 7970, 8309, 7254, 7254, 7260, 9188, 8087, 8087, 8082, 8082, 8788, 8788, 9132, 8090, 8090, 7159, 7008, 7008, 8090, 9359, 7997, 9650, 6947, 7997, 9650, 8651, 7930, 9838, 9838, 7694, 7930, 9902, 7846, 9645, 7941, 7842, 7842, 7846, 9121, 7953, 9289, 7953, 7973, 7761, 7973, 7761, 9540, 7618, 7761, 7618, 7876, 8054, 7761, 8077, 8077, 9918, 8015, 7805, 8015, 7711, 7830, 9361, 8031, 7969, 8069, 8318, 7472, 8667, 8667, 7060, 8499, 8119, 8188, 8119, 7831, 9026, 7159, 7378, 7018, 7008, 7008, 9257, 9756, 9257, 7828, 9756, 8589, 7060, 8589, 7060, 7749, 9211, 9211, 7749, 9184, 9184, 7830, 7531, 7749, 8465, 8278, 8051, 9771, 7735, 8409, 8051, 8673, 9359, 9803, 8673, 9803, 8673, 9402, 8278, 8673, 8465, 8949, 8949, 3760, 1141, 1971, 1971, 3721, 1141, 3651, 4041, 4041, 4019, 589, 589, 4562, 4562, 589, 589, 2035, 4680, 2035, 4680, 1141, 4680, 1141, 4680, 4520, 3463, 2796, 3956, 3956, 1370, 3956, 1370, 3956, 738, 738, 2677, 3356, 2399, 2835, 3653, 4314, 1370, 1370, 4666, 4666, 2675, 2552, 2432, 2819, 2432, 2669, 2819, 1719, 3540, 1656, 408, 2049, 2049, 3589, 3072, 4304, 2432, 2432, 4304, 397, 3285, 4326, 4326, 1656, 3285, 1656, 3285, 3464, 128, 4732, 2153, 4732, 3118, 3118, 4909, 128, 3406, 3406, 1740, 388, 2421, 1891, 1891, 2918, 422, 2584, 3037, 3009, 718, 2948, 3217, 2833, 2833, 1765, 3564, 297, 4606, 599, 786, 297, 786, 4928, 3970, 2567, 1896, 1896, 3049, 2261, 632, 4918, 632, 632, 1186, 3096, 1856, 1856, 4876, 2389, 2943, 4208, 2401, 4500, 2720, 2720, 1039, 906, 3348, 906, 3348, 2907, 2907, 1888, 1888, 2035, 4670, 3651, 2577, 4670, 2577, 2907, 3651, 2922, 3348, 3194, 1087, 2317, 3194, 2431, 2317, 4609, 2431, 4529, 1087, 326, 2668, 2700, 2668, 3628, 2930, 3612, 3777, 3777, 1467, 1465, 1465, 1922, 1545, 2794, 2794, 4242, 4287, 2317, 2317, 628, 4287, 4038, 1434, 4038, 2162, 4196, 4857, 4196, 4196, 456, 456, 1039, 4572, 4038, 4572, 3873, 1751, 3293, 2738, 2738, 3873, 3917, 4615, 3917, 4615, 1751, 4445, 4438, 2425, 3256, 2325, 437, 1012, 3392, 1012, 3392, 1012, 2325, 1012, 3225, 3966, 3467, 3159, 3966, 3148, 3148, 2185, 2989, 1900, 1751, 2738, 1727, 926, 926, 1952, 3074, 3823, 1857, 4445, 1857, 3934, 4610, 4610, 1727, 1727, 4610, 2027, 4610, 2027, 4610, 1057, 4610, 1057, 3392, 3392, 4826, 3381, 3539, 1286, 3074, 3074, 4166, 2576, 2989, 4166, 3433, 2135, 767, 4442, 4442, 4922, 1993, 4922, 4835, 767, 4835, 767, 3993, 767, 3993, 1993, 2322, 2750, 2425, 2425, 3225, 3729, 3988, 3729, 3988, 554, 1723, 554, 4646, 3327, 1423, 4548, 2954, 3327, 1582, 4518, 4518, 12, 4723, 4518, 4723, 4723, 4653, 4653, 4518, 1582, 241, 1508, 4518, 241, 879, 4518, 879, 4830, 4830, 2960, 2960, 2954, 2954, 1611, 1423, 1423, 2399, 1298, 3867, 3653, 1370, 775, 2273, 2273, 2105, 2406, 2105, 4074, 4074, 2406, 4264, 2406, 2105, 1488, 1392, 638, 1454, 1811, 2117, 2117, 1743, 1392, 391, 391, 915, 391, 4002, 4002, 698, 698, 247, 247, 188, 1288, 1288, 3535, 1288, 48, 396, 396, 48, 226, 48, 4075, 2332, 1035, 3215, 4075, 3774, 818, 3179, 4136, 1337, 2260, 665, 2075, 2075, 3588, 216, 434, 2873, 2873, 3588, 1029, 1029, 1029, 1757, 2946, 1757, 2612, 2612, 434, 2612, 2612, 1140, 3213, 3213, 1135, 3213, 309, 2734, 1932, 1932, 3305, 1037, 90, 798, 2130, 631, 631, 719, 27, 1111, 1932, 2415, 1932, 3465, 1959, 1959, 1442, 3465, 1528, 300, 3465, 3465, 1513, 3788, 1808, 708, 1808, 41, 578, 199, 981, 3227, 3445, 2318, 2242, 2150, 1554, 3369, 3369, 798, 3369, 850, 3213, 1449, 3213, 1449, 1435, 4738, 4738, 3948, 3948, 1996, 1996, 2489, 2489, 2378, 4869, 1970, 199, 3180, 577, 539, 539, 3185, 770, 1066, 665, 1066, 76, 4305, 4305, 871, 871, 3696, 4270, 1837, 1837, 2955, 2955, 4537, 1455, 3231, 3430, 3075, 3593, 3075, 2013, 3593, 4781, 3075, 3075, 132, 3967, 3967, 2323, 2203, 97, 2203, 3022, 1464, 1075, 294, 294, 2690, 1458, 1458, 4096, 3951, 1131, 3951, 2129, 2203, 2129, 3978, 97, 97, 166, 3208, 3208, 3978, 3550, 3550, 2203, 3978, 7230, 7267, 7368, 7368, 7267, 6930, 7166, 7365, 7166, 7267, 7080, 7267, 7080, 7283, 7224, 6950, 7278, 7191, 7050, 7427, 7278, 7050, 7283, 7073, 7518, 7073, 7153, 7153, 7170, 7170, 4301, 89, 4905, 4829, 4301, 1377, 4301, 4905, 4301, 2569, 3438, 1385, 1385, 2365, 4380, 2365, 4380, 3883, 1919, 3883, 1385, 4441, 4490, 4490, 1919, 1385, 4548, 4553, 2756, 4153, 3690, 3324, 2122, 4653, 4653, 1298, 1298, 115, 2714, 2714, 3356, 115, 4884, 4884, 115, 115, 2831, 3236, 3236, 2935, 2935, 1386, 2135, 4334, 3699, 3236, 4334, 3236, 3699, 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7678, 8873, 9528, 7564, 7564, 8351, 7564, 7564, 9521, 8834, 8044, 8676, 9368, 7500, 7500, 8365, 8239, 8365, 8071, 7786, 8395, 8395, 8539, 8539, 7823, 8232, 9789, 8702, 8450, 8676, 9789, 9705, 7808, 9705, 7822, 7822, 8464, 8154, 7822, 7560, 8075, 8154, 8075, 9732, 8709, 9732, 8464, 9074, 8044, 7762, 9282, 8557, 8962, 8962, 7899, 7899, 9223, 9786, 9584, 7897, 8882, 7897, 8882, 7992, 7731, 9438, 9242, 9242, 7561, 9786, 9786, 9861, 8724, 8085, 9181, 8629, 9507, 8896, 9216, 8579, 7643, 7746, 7746, 8957, 8957, 9698, 9665, 8957, 9826, 9199, 8957, 9379, 9199, 9063, 9468, 7502, 7502, 9775, 8195, 8195, 8375, 7792, 8501, 7791, 7791, 9387, 8724, 8962, 8953, 8962, 8953, 9440, 8384, 9393, 8757, 9856, 7796, 9724, 7796, 9740, 9371, 7543, 9371, 7808, 9125, 7889, 7889, 7597, 7597, 9312, 8709, 9969, 9110, 9469, 7565, 7565, 9897, 7565, 9408, 9408, 8703, 7565, 9226, 9716, 9226, 9749, 9716, 8103, 8103, 8822, 8734, 8734, 9649, 7866, 7866, 9649, 8027, 7811, 7811, 8698, 9431, 8950, 9348, 8140, 9348, 8140, 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5379, 5170, 6004, 5039, 6704, 6704, 5238, 6369, 5651, 4962, 5637, 6063, 5647, 5814, 6314, 6314, 6314, 5085, 6236, 6236, 5117, 6275, 6275, 6022, 6618, 6618, 5982, 6618, 5080, 5551, 6326, 5551, 5226, 6326, 5137, 5068, 5068, 5799, 5430, 6545, 5851, 5564, 6680, 5379, 5868, 7, 3949, 3949, 2630, 87, 1706, 3228, 7, 3622, 1706, 3726, 3726, 2578, 882, 3726, 2578, 3837, 4177, 2677, 4789, 2966, 2966, 2966, 404, 1790, 2809, 1929, 2809, 8437, 8437, 7748, 8139, 8249, 8718, 8437, 7668, 9049, 8718, 7668, 8056, 8056, 8718, 9087, 7694, 8496, 9807, 8932, 8932, 9360, 7914, 8552, 6952, 8225, 8225, 7205, 7279, 7289, 7139, 7209, 7040, 8575, 9707, 9707, 7706, 9707, 9057, 7630, 10013, 8771, 8771, 9508, 9520, 9508, 9508, 9116, 7553, 8315, 8300, 7970, 9013, 9013, 9013, 9512, 9802, 9802, 9098, 9824, 7260, 9604, 8651, 6992, 6992, 9582, 8916, 8097, 6992, 8067, 8051, 8067, 8409, 8096, 8096, 8096, 7944, 9132, 9359, 9902, 9806, 7846, 9806, 9806, 7846, 9645, 8783, 9723, 8783, 9991, 9320, 9991, 9991, 7659, 8069, 9862, 9862, 7995, 7995, 8031, 7995, 9558, 8442, 8318, 7237, 8188, 8006, 7237, 9046, 8505, 9046, 8119, 9046, 7060, 7831, 9100, 9278, 10003, 8160, 10003, 9950, 10003, 6918, 7098, 8589, 8293, 9895, 9895, 7928, 7448, 7448, 7448, 9100, 9671, 7259, 9756, 8589, 8467, 8465, 8423, 8173, 8423, 8423, 8278, 8627, 8627, 8627, 7619, 7619, 9135, 9402, 1434, 4887, 4794, 3503, 4838, 4680, 3721, 3019, 1621, 1621, 528, 1441, 4139, 220, 3463, 220, 2017, 2111, 2611, 1547, 2796, 725, 725, 2611, 725, 3350, 4520, 3350, 2017, 3350, 2442, 4314, 2442, 2045, 1084, 31, 2835, 4474, 4474, 1547, 4474, 528, 3205, 1494, 3137, 1544, 1944, 1544, 2552, 1187, 4317, 2148, 4345, 3880, 2073, 4605, 4605, 3979, 4389, 2314, 4040, 2937, 4389, 2937, 3608, 4906, 4906, 4906, 4252, 2370, 3020, 2510, 4344, 4344, 4252, 1282, 1282, 3880, 4668, 3390, 3390, 361, 3910, 2387, 3869, 3869, 2073, 4508, 4508, 1525, 3452, 276, 4549, 1925, 4549, 4549, 4895, 3827, 3027, 3011, 2204, 3011, 4604, 2270, 1087, 4585, 3848, 4604, 2842, 3736, 3406, 3363, 3363, 3363, 397, 255, 3363, 3806, 3926, 3806, 3024, 1841, 667, 1568, 1841, 1740, 322, 667, 1655, 4683, 3000, 3587, 3706, 1363, 4442, 831, 3071, 4546, 2000, 2754, 2000, 3749, 3749, 1990, 285, 285, 4067, 2918, 285, 140, 3928, 2179, 4067, 2758, 3888, 3167, 3888, 3888, 3888, 2421, 639, 2281, 2959, 3755, 977, 977, 3755, 3598, 3598, 2281, 1761, 3598, 3598, 2540, 3755, 1144, 477, 4418, 4067, 3422, 3422, 477, 3422, 1978, 3733, 3564, 158, 3654, 829, 3970, 2801, 2801, 2381, 2801, 2077, 420, 3487, 3487, 824, 158, 3891, 4336, 4302, 474, 1032, 2798, 1893, 4642, 4642, 1704, 2369, 100, 1285, 479, 2920, 591, 2369, 2920, 633, 633, 2369, 1930, 2369, 1930, 571, 757, 2515, 2515, 2012, 569, 1512, 3209, 1512, 3803, 3087, 3842, 2827, 874, 2827, 3842, 3666, 3739, 2004, 3408, 475, 475, 38, 3666, 2649, 4678, 2649, 4502, 1565, 4076, 1565, 1565, 4394, 2261, 790, 790, 1411, 790, 4046, 4046, 1557, 1856, 4005, 873, 2070, 1563, 4716, 4896, 1738, 3586, 2091, 3096, 3538, 2146, 2146, 1439, 2978, 3173, 1345, 2401, 2651, 1451, 1451, 3396, 4500, 3188, 1306, 4415, 4857, 3791, 3001, 3001, 3651, 3650, 4841, 3510, 2265, 2265, 3580, 3580, 2010, 206, 961, 3122, 2958, 3454, 4010, 4712, 3150, 2431, 3150, 4309, 3150, 2113, 4758, 2113, 1838, 4729, 4729, 1087, 3259, 3259, 4309, 1838, 4915, 2922, 4915, 3969, 1886, 4652, 3731, 4614, 2700, 3955, 4614, 1716, 4406, 3955, 2767, 1716, 1280, 3122, 1280, 4191, 1980, 4926, 4926, 4105, 4105, 4758, 4701, 1018, 4105, 1980, 2767, 1630, 4686, 326, 2805, 4686, 3068, 4718, 1980, 1467, 2624, 1545, 4470, 4470, 837, 1311, 1039, 3393, 3393, 3068, 4754, 4287, 628, 3745, 4625, 4161, 2162, 4625, 4312, 4867, 4312, 508, 4469, 4212, 2510, 4212, 4794, 2770, 3651, 4375, 814, 4527, 2135, 1283, 4527, 4527, 1386, 4527, 4061, 2046, 2046, 2046, 3256, 2297, 4536, 2325, 4743, 4743, 2990, 4575, 2989, 1999, 2185, 3989, 3989, 2935, 3989, 3048, 4767, 3892, 1270, 3152, 926, 1270, 4307, 3412, 2797, 2797, 4826, 1120, 1981, 3484, 3484, 1729, 3352, 1729, 729, 729, 1647, 3937, 3937, 3063, 2398, 1286, 2576, 4166, 3834, 3834, 4842, 2989, 4276, 4852, 4820, 676, 3427, 2754, 4820, 1387, 1993, 3187, 3187, 3198, 3828, 3157, 3157, 1993, 2310, 1747, 2961, 2310, 4149, 4283, 4149, 1921, 1755, 2771, 1300, 2771, 517, 4126, 3701, 1625, 1161, 73, 3327, 4548, 1614, 1614, 1614, 2087, 2954, 4115, 3467, 4115, 3758, 3758, 2028, 1376, 4557, 1376, 892, 3770, 2676, 1192, 2676, 12, 2397, 3562, 2675, 12, 1830, 3052, 12, 3052, 3940, 1508, 2324, 2891, 2324, 1461, 2335, 3692, 4791, 3309, 3309, 4791, 1755, 4545, 1500, 1500, 4807, 1582, 1933, 3748, 1933, 1298, 2996, 3683, 4228, 4319, 3683, 4035, 551, 2433, 769, 3784, 3784, 4138, 4125, 2208, 2208, 4489, 1624, 3169, 338, 3169, 3169, 1743, 1175, 2430, 687, 1392, 687, 561, 915, 2388, 2078, 794, 391, 512, 512, 4013, 2305, 1079, 772, 2415, 772, 1210, 209, 211, 467, 321, 321, 1492, 1492, 407, 1492, 226, 2893, 1992, 1992, 1035, 3774, 1328, 3179, 219, 3156, 334, 3179, 1692, 1834, 253, 1834, 2865, 4526, 4080, 4526, 3678, 2353, 2793, 844, 1249, 1047, 1822, 1291, 1242, 1251, 1509, 821, 3588, 1023, 821, 1477, 1477, 1320, 2362, 434, 4570, 270, 974, 3291, 4071, 4071, 125, 4071, 4268, 3673, 2659, 1023, 2075, 3076, 3076, 3645, 451, 3076, 1242, 3076, 4271, 4114, 1600, 4114, 451, 4855, 4356, 1982, 1185, 1251, 1428, 2601, 678, 252, 678, 2560, 1135, 1428, 2560, 2560, 244, 2560, 875, 244, 2251, 245, 2746, 2746, 2746, 3751, 3751, 1037, 432, 432, 2777, 640, 2420, 2420, 492, 803, 803, 3215, 3215, 2163, 2893, 2691, 798, 348, 3016, 3016, 2753, 1111, 157, 719, 27, 18, 719, 18, 2355, 993, 993, 1177, 2110, 245, 1960, 1960, 2580, 3359, 2687, 3899, 1528, 2305, 324, 598, 598, 2121, 3976, 2121, 584, 2216, 584, 1090, 584, 1975, 2987, 133, 133, 1401, 2092, 3431, 3266, 2092, 3397, 3397, 1401, 1401, 1705, 1705, 493, 3227, 577, 493, 3227, 2802, 4012, 840, 840, 3633, 1074, 1931, 1931, 4503, 4897, 1988, 3818, 2040, 1375, 752, 2037, 2280, 3818, 4417, 4417, 971, 46, 3369, 2572, 27, 2572, 2543, 2572, 2572, 2016, 2883, 2280, 495, 495, 201, 495, 2109, 1701, 4288, 1491, 4738, 4561, 1491, 4561, 1796, 468, 3240, 1740, 3660, 3660, 1498, 3719, 373, 4079, 1061, 2702, 2736, 3034, 1439, 887, 887, 3700, 2382, 4647, 4630, 692, 2849, 3824, 1136, 2378, 716, 934, 3180, 4016, 175, 109, 4913, 1803, 3185, 3002, 444, 3407, 177, 3407, 3154, 3407, 1939, 2300, 1707, 2300, 1939, 3021, 553, 902, 2048, 3625, 2048, 332, 332, 1000, 770, 332, 76, 770, 23, 4801, 3468, 3652, 4847, 2258, 4822, 1704, 2437, 3286, 1795, 1795, 3059, 3798, 2536, 3043, 72, 3851, 3012, 1409, 3696, 3317, 1106, 4750, 2334, 3317, 3111, 3111, 2684, 3975, 1151, 2520, 1874, 2424, 3581, 3069, 4886, 1243, 4489, 4622, 4108, 4108, 1037, 1484, 1948, 166, 852, 1782, 2600, 2279, 2390, 1499, 1455, 4439, 1571, 3430, 3593, 4781, 3566, 750, 1219, 3434, 1908, 1295, 4534, 3097, 3314, 2565, 4641, 3097, 4154, 4528, 962, 4528, 4201, 282, 2914, 2914, 4109, 3865, 629, 2279, 2589, 3885, 4443, 298, 1702, 298, 723, 805, 1319, 1319, 2951, 835, 4410, 835, 1391, 2616, 805, 1819, 1819, 929, 1833, 2005, 1075, 2005, 78, 3772, 3772, 4138, 3772, 3786, 4264, 4361, 815, 1570, 371, 78, 1131, 1150, 106, 1150, 4243, 166, 556, 3978, 4272, 2627, 4272, 1742, 2756, 546, 546, 1954, 546, 4553, 2072, 2919, 3637, 4553, 341, 4471, 882, 341, 3829, 4553, 3141, 2339, 727, 4634, 4192, 3515, 3515, 2688, 3589, 2832, 1244, 2832, 1898, 179, 4219, 1514, 2182, 2182, 1717, 3813, 2289, 1483, 1022, 1953, 2561, 4102, 4821, 4601, 1663, 1666, 670, 2620, 1703, 4910, 3585, 4910, 4910, 3258, 2507, 3056, 3219, 4494, 3922, 3854, 3922, 4340, 4213, 4786, 4340, 4340, 1286, 4833, 3557, 4122, 4457, 9863, 9329, 9863, 7783, 9415, 7463, 7463, 7520, 9294, 9951, 9294, 7538, 7494, 9805, 9951, 7538, 9078, 7849, 9801, 7482, 9795, 7504, 9194, 9194, 9948, 8145, 9720, 7919, 9747, 9747, 9005, 9433, 9280, 8049, 8049, 8049, 9005, 7526, 7526, 10010, 10010, 9666, 8034, 8034, 9017, 9297, 9017, 9230, 9017, 9297, 8392, 9189, 8392, 9083, 8301, 8177, 8307, 7976, 8854, 8649, 8631, 7996, 7996, 8476, 7996, 8307, 7996, 9639, 9256, 8822, 8897, 7889, 8897, 9594, 9528, 9586, 9586, 9594, 8417, 9341, 9010, 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2647, 3919, 3146, 4127, 1039, 1039, 3146, 4127, 4127, 3532, 4623, 4623, 359, 3830, 3438, 3438, 395, 395, 3090, 3101, 4500, 1465, 4331, 2613, 4328, 2148, 4557, 4557, 4867, 1496, 1577, 4309, 2553, 3411, 3411, 2867, 2797, 1783, 4146, 4279, 3427, 4133, 3549, 3158, 4527, 4527, 4340, 3451, 4381, 3451, 4340, 2454, 4624, 4624, 4081, 4081, 4427, 4381, 3428, 4321, 4321, 345, 2961, 239, 3054, 3054, 74, 131, 179, 179, 3054, 3054, 2384, 1690, 2384, 1290, 4235, 2603, 378, 378, 2969, 1799, 2749, 2749, 2153, 2969, 651, 2381, 1154, 2381, 2381, 528, 2241, 1154, 179, 2241, 558, 322, 2686, 4467, 2686, 753, 753, 228, 3835, 4500, 4500, 588, 3835, 1990, 3835, 3835, 4877, 4877, 3719, 2778, 2778, 1659, 4844, 4811, 4222, 4222, 4222, 139, 4844, 544, 4222, 4280, 4280, 4415, 2638, 2638, 4265, 3157, 2667, 2667, 3562, 2671, 2667, 440, 2671, 4021, 1545, 3467, 1545, 3467, 3509, 440, 1055, 1055, 2817, 3439, 2922, 2922, 2081, 3390, 3912, 4873, 4873, 3797, 2989, 2989, 4873, 2957, 4216, 4873, 2153, 4440, 3222, 2153, 4440, 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6633, 6117, 4988, 6117, 463, 164, 1546, 1546, 164, 4315, 3984, 1989, 2474, 3984, 2710, 3004, 3004, 1743, 2164, 2151, 1748, 311, 4921, 598, 872, 872, 2156, 3029, 1159, 133, 133, 1159, 377, 377, 1700, 4768, 4608, 3316, 1122, 2976, 1399, 1122, 1122, 3403, 3403, 4271, 154, 230, 230, 946, 2560, 673, 673, 3597, 673, 908, 57, 759, 1892, 133, 60, 3266, 2436, 2288, 321, 2288, 2436, 321, 2436, 4138, 2288, 1594, 2288, 1594, 555, 1931, 1931, 4006, 4652, 2132, 1276, 3402, 2132, 1949, 1949, 3356, 420, 1384, 3061, 420, 420, 746, 368, 1221, 800, 1548, 32, 3893, 3035, 2304, 3035, 1607, 1607, 415, 1874, 685, 129, 1509, 4580, 4580, 521, 392, 392, 2593, 1250, 390, 1250, 4863, 3007, 4774, 4774, 274, 1484, 4194, 1484, 945, 1301, 274, 3708, 3708, 2009, 4050, 1962, 1962, 1259, 881, 1259, 881, 4077, 3644, 4011, 3644, 3644, 2136, 2136, 2722, 3109, 2452, 4633, 2722, 4281, 4281, 1107, 3410, 2388, 17, 2871, 3566, 2871, 2388, 2388, 2871, 2871, 239, 3736, 1141, 1220, 764, 764, 2961, 3736, 1994, 1994, 224, 4411, 3396, 3396, 967, 2035, 2035, 661, 1447, 4612, 4612, 4612, 4612, 1652, 1652, 932, 1445, 4359, 1273, 1921, 1687, 608, 608, 980, 2673, 1479, 608, 608, 526, 370, 786, 254, 3791, 739, 4165, 4165, 335, 1245, 1445, 4451, 608, 4451, 254, 3309, 4367, 1005, 1005, 1583, 1583, 1291, 449, 1583, 612, 612, 1571, 1133, 4682, 4682, 2950, 2950, 123, 4745, 123, 4654, 1148, 165, 165, 2514, 3144, 671, 4513, 2514, 582, 4214, 582, 2953, 2953, 2704, 3403, 3403, 1957, 3740, 2010, 4704, 4704, 1957, 476, 2043, 563, 2043, 1675, 1675, 1005, 716, 3034, 110, 1026, 336, 3740, 4586, 336, 3085, 3740, 1520, 4530, 1520, 865, 1331, 4089, 1331, 4278, 2043, 2043, 865, 4278, 1331, 1419, 1419, 3629, 1331, 1520, 2564, 758, 2564, 265, 542, 265, 692, 2522, 312, 2522, 3526, 3123, 2525, 2525, 3123, 25, 351, 221, 1421, 1421, 3391, 1421, 1062, 1062, 3297, 605, 54, 54, 2636, 2636, 2636, 1861, 1861, 536, 2636, 1334, 824, 824, 792, 336, 336, 201, 1292, 3085, 819, 201, 201, 819, 175, 3280, 210, 669, 4393, 2174, 559, 559, 450, 450, 4731, 4731, 1227, 3237, 238, 4078, 1674, 4078, 3229, 1674, 3841, 3841, 650, 421, 4078, 421, 421, 4078, 571, 3229, 1252, 1252, 1551, 1551, 1787, 2085, 1156, 1648, 118, 118, 1979, 1375, 1375, 4080, 802, 2757, 2757, 2757, 112, 2757, 2544, 3824, 186, 411, 3004, 4175, 4175, 2078, 1732, 2424, 1252, 1604, 3015, 3015, 1673, 1147, 1673, 772, 1147, 772, 1147, 893, 893, 112, 1748, 112, 1748, 2470, 226, 893, 1748, 574, 574, 67, 67, 2161, 2567, 2567, 1410, 1410, 216, 2567, 1410, 964, 1066, 1066, 854, 854, 928, 928, 1401, 1401, 2108, 1047, 1047, 678, 3164, 891, 1295, 1295, 2108, 4720, 4720, 3018, 3018, 2525, 2525, 45, 3123, 3123, 253, 253, 743, 682, 1554, 1845, 924, 1591, 3312, 3312, 1591, 1960, 1590, 1590, 4075, 4075, 4075, 2295, 4075, 4622, 1035, 2295, 2586, 1098, 2586, 468, 633, 3098, 3098, 3170, 1860, 3800, 453, 3170, 1206, 1930, 1519, 1930, 754, 1332, 1441, 1237, 1441, 1067, 754, 1410, 1410, 2020, 1115, 1441, 1441, 1115, 2377, 1873, 3137, 1873, 2377, 1173, 2853, 1674, 2052, 1674, 2052, 54, 54, 988, 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5229, 6173, 6255, 6314, 5415, 5415, 5847, 5415, 5592, 5279, 5811, 5811, 5811, 5811, 6173, 5705, 6507, 6230, 6230, 5623, 6173, 5623, 5013, 5623, 6429, 6045, 6127, 5908, 5917, 5773, 5403, 6610, 6288, 5205, 6145, 5861, 5861, 5643, 5259, 5627, 4992, 4992, 6004, 5564, 4943, 5121, 5171, 5516, 5171, 6675, 5206, 5581, 5581, 5661, 6020, 5287, 6541, 6310, 5686, 5653, 6629, 5189, 5013, 5189, 6458, 5269, 6474, 5185, 5185, 5185, 5592, 6961, 7000, 7169, 7171, 7330, 7002, 7447, 7181, 7447, 7194, 5625, 5620, 5001, 6817, 6817, 6828, 5356, 5474, 5333, 6054, 6516, 5391, 5713, 5391, 5713, 6425, 5977, 5977, 5309, 5014, 5909, 5024, 6652, 5129, 6038, 5314, 6313, 6808, 6604, 6604, 6542, 5429, 5371, 5429, 5080, 5783, 6132, 5989, 5889, 6537, 5207, 5989, 6088, 5852, 5852, 5921, 5852, 6159, 5440, 5969, 5153, 5153, 5605, 5153, 5153, 6101, 5434, 5002, 5433, 5605, 5918, 5918, 6088, 5918, 5265, 5944, 5944, 6378, 6378, 5942, 5890, 5404, 5016, 5890, 6019, 5927, 5447, 5927, 5034, 6180, 5435, 5447, 6421, 6808, 6421, 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5501, 5501, 6528, 6792, 6315, 6905, 6315, 6401, 6315, 5143, 6905, 6107, 6902, 6107, 5182, 6018, 5311, 5182, 6262, 5524, 6262, 5332, 5389, 5389, 6263, 6894, 6894, 4940, 5055, 465, 3676, 5957, 5655, 5794, 5311, 4979, 6522, 6522, 6841, 5315, 6841, 5771, 6886, 5127, 5913, 6886, 5272, 5960, 5743, 5272, 6905, 5272, 6574, 5838, 5785, 6901, 6829, 5112, 6793, 6543, 6626, 6793, 6873, 5997, 6786, 5825, 5707, 6289, 6289, 5976, 6796, 6819, 6796, 6069, 6796, 5621, 6796, 4979, 5866, 5866, 5478, 5835, 5835, 5835, 6856, 6100, 6837, 6100, 6100, 5179, 5478, 5179, 5179, 6526, 6657, 6657, 6657, 6281, 6394, 7459, 6834, 6371, 6238, 6551, 6007, 6551, 6551, 6714, 6243, 5480, 6417, 6243, 5730, 6613, 6206, 6267, 6267, 6032, 5979, 5979, 6722, 5302, 6680, 6680, 5456, 6892, 5405, 6197, 5405, 6040, 6892, 4976, 6192, 6874, 6513, 6513, 6579, 6769, 6422, 6622, 6355, 6015, 5095, 5879, 6481, 6762, 6481, 6293, 6622, 5821, 6556, 6144, 5545, 4995, 4995, 6670, 5116, 5958, 5958, 5546, 6539, 6883, 5384, 5270, 5384, 4954, 6249, 5170, 5170, 6023, 6175, 6868, 5040, 5829, 5432, 6744, 6293, 5227, 5809, 5809, 6032, 6880, 6802, 5526, 6898, 5499, 5499, 6468, 5339, 4935, 6452, 5966, 6349, 4983, 5587, 5587, 5036, 5020, 5059, 4967, 5020, 5754, 5754, 6738, 5133, 6023, 5175, 5799, 5754, 4988, 6356, 5052, 5904, 5994, 5175, 5904, 5747, 5052, 5747, 5747, 6023, 4932, 5747, 5021, 5021, 5718, 6014, 5169, 5354, 5354, 6260, 5220, 6313, 6884, 5025, 5347, 5242, 5457, 5457, 5442, 5111, 5111, 6539, 4959, 5964, 6891, 5329, 6846, 5980, 5367, 4959, 5736, 4941, 5982, 5687, 4941, 1146, 1146, 4576, 292, 2761, 1830, 1679, 613, 448, 873, 3201, 2449, 4091, 879, 879, 879, 1616, 4091, 879, 4703, 4204, 2256, 4703, 1740, 4165, 4341, 4165, 4083, 4341, 4083, 3503, 3503, 3503, 4341, 3193, 3119, 4760, 1989, 1989, 1888, 292, 3528, 2310, 1253, 2843, 2710, 3657, 1105, 3657, 3284, 4481, 2574, 808, 2574, 2582, 4768, 2259, 37, 500, 3045, 1877, 2530, 3620, 3184, 1260, 844, 273, 3977, 3977, 1695, 1231, 2181, 2288, 2288, 2181, 2021, 1246, 4096, 860, 4096, 1508, 1508, 1508, 951, 1248, 2210, 2772, 98, 3420, 3728, 4098, 490, 1874, 2075, 1874, 137, 3129, 4267, 137, 368, 2075, 1289, 800, 4267, 800, 98, 1452, 1839, 3302, 245, 1808, 12, 1193, 1607, 18, 2181, 2275, 2275, 1235, 2812, 4300, 1436, 4927, 3776, 3221, 2304, 3461, 5, 5, 4267, 4774, 4774, 11, 390, 931, 4616, 2427, 2009, 2009, 2353, 703, 16, 2271, 2180, 2772, 2180, 2271, 2571, 3013, 16, 3013, 3271, 3013, 1667, 2841, 1507, 211, 18, 711, 711, 711, 1095, 711, 757, 943, 3329, 3415, 4101, 3052, 1829, 1829, 4356, 4302, 4491, 463, 4819, 3109, 4803, 2452, 2547, 2452, 2675, 1112, 2675, 972, 3251, 4043, 1179, 4043, 3076, 1791, 1791, 3463, 1791, 3410, 2388, 10, 1792, 1824, 1792, 3473, 1824, 1208, 1110, 3954, 10, 1208, 156, 2640, 1273, 2310, 1500, 1824, 4639, 3287, 2747, 4197, 4197, 1151, 4288, 4088, 4191, 4191, 3535, 3470, 3852, 1220, 1220, 439, 315, 4411, 4411, 4887, 2417, 2579, 980, 822, 1825, 675, 4904, 1258, 1258, 4516, 2557, 2557, 3944, 1429, 4912, 4912, 2579, 3675, 77, 77, 681, 3068, 667, 674, 4144, 674, 1504, 836, 3832, 1504, 3832, 1005, 739, 739, 3227, 3432, 3227, 3227, 538, 716, 1267, 297, 1031, 4577, 920, 4303, 1031, 1207, 2520, 4654, 2520, 4654, 1828, 4148, 2520, 834, 4148, 4497, 1839, 4497, 671, 4091, 4157, 3430, 4727, 1997, 585, 829, 829, 4704, 190, 4704, 3629, 563, 3041, 249, 3041, 3034, 1893, 3041, 126, 4586, 4586, 190, 79, 366, 1184, 657, 688, 416, 416, 2596, 4272, 1059, 2497, 2075, 3728, 2497, 3971, 2336, 2336, 1059, 271, 3728, 2336, 1520, 2596, 3437, 1100, 2534, 1100, 842, 3291, 2010, 3291, 2741, 1480, 3391, 534, 1840, 410, 819, 3291, 934, 792, 1029, 1029, 1029, 2312, 1264, 1345, 650, 1264, 650, 263, 379, 934, 235, 3514, 3514, 1610, 1217, 3514, 1833, 1833, 1833, 1696, 2359, 1429, 2359, 4904, 2868, 2359, 667, 1652, 1429, 601, 869, 749, 869, 731, 227, 4144, 232, 4731, 3220, 3824, 1359, 183, 3824, 2268, 4868, 1294, 2781, 772, 1178, 25, 1257, 301, 4667, 2004, 2004, 1662, 928, 376, 25, 455, 4507, 1233, 45, 4432, 2880, 1179, 1389, 1389, 1389, 2517, 1266, 1266, 1266, 579, 835, 2107, 147, 63, 2924, 2260, 567, 433, 3186, 883, 1319, 632, 327, 632, 632, 3713, 883, 1057, 524, 3674, 1057, 1620, 1620, 1620, 1411, 2515, 1411, 2334, 1196, 1098, 2609, 562, 1076, 2739, 2236, 2977, 1144, 1144, 1144, 2224, 1622, 1144, 4728, 4496, 3815, 4028, 431, 3800, 557, 557, 4728, 2356, 689, 1754, 985, 870, 763, 689, 3758, 3582, 3582, 1734, 866, 2213, 985, 1559, 2213, 1973, 4924, 363, 1137, 740, 3674, 2500, 1237, 2238, 475, 1565, 2980, 1194, 475, 925, 4590, 4355, 4590, 773, 1873, 725, 1873, 2872, 2160, 43, 1983, 4840, 4840, 4840, 1519, 665, 2261, 2982, 2853, 1265, 1658, 221, 1761, 1674, 527, 736, 2296, 4851, 660, 660, 2906, 2906, 2249, 1432, 2906, 1196, 1494, 1494, 2977, 1712, 3272, 3272, 1427, 1086, 3272, 3189, 2131, 2131, 1712, 1042, 3594, 1522, 2970, 1439, 738, 1522, 2838, 4589, 2445, 2994, 1427, 2994, 2965, 1978, 2125, 2125, 2048, 1618, 1618, 1459, 1499, 80, 1459, 80, 3790, 1396, 1714, 894, 326, 894, 894, 4028, 1714, 2000, 4203, 3874, 3874, 3132, 4203, 4337, 4337, 4063, 1826, 1826, 2350, 3812, 508, 3388, 1205, 4244, 4244, 3014, 3078, 4244, 1414, 1414, 1049, 1932, 1932, 3520, 1932, 1554, 835, 568, 847, 1544, 1544, 1544, 467, 1544, 2900, 2900, 847, 1848, 1848, 551, 2536, 871, 2247, 1732, 1111, 955, 1197, 1604, 1552, 1398, 1552, 1381, 1654, 3015, 519, 2615, 2536, 1763, 2615, 2615, 2597, 3822, 1718, 1718, 1718, 4856, 2406, 2406, 1650, 2619, 2619, 180, 2619, 2491, 2491, 2491, 3328, 1188, 1801, 868, 966, 966, 233, 152, 1091, 1532, 1090, 1739, 2400, 4351, 1090, 3319, 2820, 3319, 3319, 3573, 1523, 1523, 401, 2495, 2439, 2439, 1090, 2439, 2439, 4351, 2439, 1513, 2870, 2857, 3527, 3527, 1566, 3554, 3527, 641, 1746, 1406, 1406, 1406, 1406, 641, 1021, 2925, 808, 2791, 69, 2925, 647, 1939, 2985, 1702, 2311, 2311, 2311, 577, 2252, 57, 2428, 2227, 1535, 1617, 2929, 2230, 4870, 4870, 496, 78, 3805, 3805, 1700, 561, 621, 1784, 909, 2277, 2099, 1947, 1947, 1947, 5258, 5258, 5193, 5084, 5139, 6499, 6017, 6147, 6224, 6017, 6896, 6635, 6479, 5471, 6479, 6415, 6681, 6479, 6465, 6410, 6247, 6681, 6247, 6247, 5738, 6174, 6224, 5738, 6205, 6570, 6205, 6133, 6080, 5396, 5253, 6737, 5008, 5318, 6168, 6530, 6582, 6096, 6112, 5975, 6349, 5975, 5438, 5487, 6015, 5495, 6009, 6030, 5469, 6482, 6011, 6124, 5856, 6676, 6170, 5967, 6617, 6554, 6515, 5974, 6554, 5497, 5497, 5497, 6832, 6445, 4949, 5843, 6660, 4949, 6533, 6533, 6450, 6533, 6213, 6339, 5663, 6656, 6565, 5993, 6540, 6339, 6375, 6836, 6244, 5963, 6571, 6571, 5843, 6571, 6295, 167, 2163, 4142, 3685, 2733, 3685, 1566, 938, 2834, 1505, 3908, 3632, 3268, 3268, 1587, 3268, 848, 3860, 3860, 4878, 3860, 2092, 4033, 3781, 3781, 4142, 3781, 938, 6532, 5361, 6632, 5361, 6455, 5857, 5857, 5569, 6459, 5924, 5924, 5679, 5924, 5777, 4961, 6486, 6561, 4957, 4957, 6202, 4957, 6190, 6602, 6368, 5679, 6333, 6368, 6368, 6368, 5891, 6577, 6077, 5891, 4966, 6095, 6095, 5721, 4934, 6065, 4934, 6384, 5722, 6486, 5763, 6384, 6803, 6803, 6085, 6431, 6431, 6803, 6277, 6259, 6277, 6706, 6706, 4132, 4338, 4132, 4019, 4039, 4578, 3050, 3213, 4120, 4019, 4120, 2648, 3179, 4039, 2648, 3820, 4403, 4403, 4047, 3825, 2064, 2889, 3359, 2602, 2602, 3456, 3704, 3456, 3315, 3456, 3552, 4354, 4521, 3386, 3386, 3386, 2762, 3404, 3480, 2655, 2762, 4273, 3702, 3059, 3588, 3208, 2727, 3311, 3197, 4092, 3952, 3952, 3701, 1928, 1928, 3343, 4180, 1928, 3440, 3440, 3690, 2775, 3422, 4426, 3690, 2014, 3397, 3876, 3876, 3876, 2399, 4329, 2399, 4270, 2399, 4292, 4292, 4064, 4292, 3770, 8020, 9555, 9555, 8746, 8334, 9327, 8020, 8245, 7465, 8245, 9668, 8125, 9084, 8125, 8125, 9273, 8125, 9528, 8279, 8279, 9136, 9327, 7495, 7495, 8861, 7702, 8004, 7476, 8282, 8238, 9205, 8426, 8518, 8276, 8338, 7923, 7691, 7848, 8793, 8678, 9636, 9554, 9393, 9040, 9762, 9422, 9122, 9380, 7728, 9122, 9576, 9883, 7578, 9809, 9809, 9612, 9733, 9422, 7699, 8765, 7654, 7654, 9815, 8772, 8772, 8889, 8772, 9541, 8167, 9815, 8806, 8167, 9431, 9667, 8611, 9667, 9667, 9041, 7938, 7954, 7954, 9041, 9690, 7954, 9169, 9545, 9294, 8611, 9169, 9933, 9829, 8620, 8394, 8394, 9951, 9182, 9740, 8066, 9580, 9541, 9303, 9303, 9951, 9603, 8285, 9564, 8864, 7586, 9883, 9612, 8864, 7605, 8071, 8071, 7894, 8071, 8005, 7709, 8005, 8778, 8778, 8778, 9389, 7862, 8073, 9513, 9015, 9851, 8153, 9949, 8614, 8000, 8232, 9949, 8000, 7961, 7961, 8917, 9857, 7961, 9989, 8106, 8438, 9019, 9209, 8438, 8438, 8180, 7718, 8180, 8282, 7689, 7718, 7689, 7500, 7689, 7779, 8106, 8950, 7470, 8950, 9334, 9653, 9038, 9805, 9774, 8297, 9285, 8185, 9124, 8185, 7850, 8066, 7981, 9038, 9969, 9154, 9144, 9038, 9144, 9884, 9829, 8819, 9346, 9505, 8819, 9155, 9329, 9329, 8868, 9362, 9149, 9473, 9432, 8849, 9140, 9281, 8360, 9658, 9658, 9658, 9658, 9658, 9140, 7582, 9120, 9120, 9281, 9770, 7601, 7582, 7601, 8444, 9561, 8444, 9974, 9704, 7899, 9140, 8234, 9694, 9281, 9694, 8336, 9648, 9417, 9638, 9392, 9727, 8888, 8881, 8881, 9606, 8881, 9390, 8682, 9638, 9266, 8157, 8527, 9355, 9581, 8880, 9930, 7778, 9661, 9284, 8058, 9608, 8974, 9608, 9608, 9631, 9125, 9631, 8883, 9522, 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1244, 3647, 1244, 1061, 2867, 3993, 2253, 2100, 236, 4056, 2782, 3549, 4898, 3451, 4624, 4156, 4427, 4624, 2612, 4321, 4340, 4321, 3293, 4906, 4906, 4906, 4588, 2454, 4588, 2384, 2384, 2384, 131, 3872, 1690, 457, 3872, 74, 764, 1690, 2961, 1160, 976, 1160, 1311, 962, 977, 962, 3565, 2829, 2829, 2153, 1558, 2829, 1859, 4573, 3081, 1859, 3081, 558, 558, 192, 457, 4778, 3834, 1855, 4283, 4655, 4439, 811, 4439, 1450, 4237, 3638, 4237, 4237, 4377, 3879, 3638, 3235, 3235, 3101, 3249, 4715, 4069, 1668, 4705, 4705, 2, 544, 4844, 4583, 139, 4821, 4821, 4415, 2222, 4218, 3489, 3157, 4249, 3606, 437, 3139, 3139, 3139, 2671, 2255, 3562, 2671, 4021, 2289, 2289, 3509, 3950, 2289, 3797, 2783, 2749, 2817, 2682, 3574, 2682, 2749, 3063, 4216, 3063, 4842, 3797, 3063, 3973, 4509, 4509, 4509, 3556, 85, 1558, 85, 3839, 3931, 2127, 2127, 3917, 3549, 3659, 3659, 4907, 3659, 4782, 4196, 4196, 2782, 3072, 2558, 464, 2558, 3898, 1015, 4017, 2308, 2308, 242, 2308, 2308, 1776, 3883, 3141, 3493, 1776, 3277, 2946, 2324, 2324, 2324, 1683, 1275, 1275, 2219, 3859, 2349, 4372, 2109, 2672, 2672, 3289, 2865, 3337, 861, 2294, 3737, 3337, 1747, 3214, 1747, 899, 3842, 1713, 1767, 1767, 586, 1767, 3711, 1637, 2133, 3271, 951, 2374, 2765, 586, 348, 1852, 1852, 2939, 282, 4442, 4274, 1543, 805, 3377, 2362, 3377, 2902, 3377, 15, 1568, 1685, 2176, 2176, 2165, 4837, 2128, 2679, 1248, 789, 4454, 1976, 1976, 2902, 3025, 1976, 3336, 3881, 4848, 3867, 3730, 3484, 3730, 3114, 1280, 1987, 4696, 4784, 4735, 3113, 3113, 952, 306, 1308, 2508, 3416, 3108, 701, 701, 3106, 3106, 3069, 3069, 2158, 1560, 3069, 2742, 3069, 2826, 4880, 3142, 1351, 3205, 3205, 4115, 4880, 3205, 3019, 2073, 3285, 2852, 4247, 4836, 4915, 4730, 4836, 3300, 3300, 3300, 4131, 3523, 3300, 4640, 4593, 4593, 4605, 3619, 1116, 2651, 2651, 2651, 4097, 2146, 3731, 3619, 3731, 4287, 3731, 3731, 4107, 4107, 4107, 4307, 4306, 4307, 4306, 4319, 4190, 4319, 3953, 4471, 4319, 1538, 319, 1538, 319, 2909, 2581, 4308, 4565, 4655, 319, 4810, 4810, 4810, 545, 2686, 3001, 4229, 4229, 4274, 3547, 2681, 4152, 1671, 4152, 4152, 4274, 1068, 2830, 1812, 3044, 3827, 4676, 2320, 4188, 2320, 4689, 3478, 2674, 1709, 4644, 4607, 3128, 4529, 4176, 4210, 4210, 4308, 1236, 1236, 1236, 2190, 560, 4523, 953, 953, 2590, 2590, 4492, 372, 2590, 3739, 4748, 2863, 3739, 4344, 3739, 3739, 4192, 480, 1855, 1473, 480, 4860, 3209, 4630, 373, 3808, 572, 4658, 4320, 1759, 1759, 8, 3096, 4834, 373, 4673, 2341, 2485, 4435, 1601, 2341, 255, 4710, 3723, 4072, 4435, 329, 3417, 1192, 1192, 255, 2231, 3513, 3100, 4186, 4186, 1778, 3238, 4255, 3238, 3238, 3930, 3696, 4180, 3196, 3696, 1515, 2956, 1998, 1998, 4112, 3379, 2405, 1887, 3060, 765, 2804, 42, 2001, 2232, 2855, 1891, 1891, 42, 42, 2282, 2282, 316, 504, 2282, 2124, 1991, 2502, 2264, 504, 2264, 4903, 316, 4770, 4903, 2644, 2232, 2644, 2644, 1966, 1276, 1966, 2055, 2700, 2700, 4847, 3733, 3733, 3079, 4849, 3733, 3289, 3733, 2104, 2104, 2660, 2776, 2104, 2577, 3990, 2055, 2577, 2293, 2297, 3580, 2215, 2215, 4066, 2215, 2215, 4312, 4312, 4312, 3651, 2905, 1717, 4514, 4514, 4036, 4797, 4926, 4926, 2463, 3134, 3134, 3555, 3134, 4036, 2794, 2425, 4487, 4123, 2425, 2993, 2993, 2993, 4561, 3340, 3080, 3817, 4100, 3853, 3124, 4010, 897, 4561, 3596, 3339, 4135, 4680, 4680, 4680, 1703, 82, 4037, 2645, 3314, 2645, 3531, 4093, 4920, 3947, 3963, 1277, 3947, 3550, 3893, 1580, 2650, 3550, 595, 3226, 2403, 1063, 3226, 631, 2443, 161, 1023, 1023, 1023, 2486, 2189, 3212, 2189, 1328, 2745, 2189, 3855, 3855, 2998, 3855, 2860, 3317, 3317, 1600, 2433, 3397, 75, 2433, 3599, 2448, 3599, 155, 2427, 4863, 2009, 1605, 703, 1605, 1121, 1382, 1078, 495, 391, 391, 2448, 1501, 1501, 2701, 3012, 2058, 904, 904, 1537, 4116, 2058, 4116, 565, 565, 1537, 2974, 3923, 2974, 4033, 2974, 2974, 2974, 7366, 7116, 7351, 7366, 7190, 7406, 7124, 7115, 7446, 7155, 7446, 7324, 7390, 6943, 7383, 7392, 7247, 7247, 7270, 7109, 7449, 6967, 7516, 9052, 7835, 8656, 8532, 7516, 7516, 7509, 7877, 8984, 9759, 9741, 9741, 8943, 8070, 9300, 9300, 9300, 7658, 9472, 9313, 8592, 9313, 8458, 8932, 9002, 8217, 7569, 7929, 7918, 7914, 8242, 7918, 7260, 7128, 7260, 7042, 7260, 7260, 7260, 7315, 7246, 7209, 7329, 7113, 7332, 7300, 7332, 7357, 7324, 7138, 7115, 7138, 7295, 7345, 7348, 7021, 7333, 7348, 6923, 7234, 7308, 7308, 7364, 7364, 7293, 7118, 7361, 7118, 7242, 7400, 7400, 7324, 7400, 7317, 7293, 6933, 6933, 7065, 5697, 5697, 5032, 5897, 4939, 4984, 5875, 5680, 5875, 5875, 5059, 5444, 5779, 5331, 5779, 6050, 6050, 5489, 6050, 6379, 6050, 6050, 5489, 5101, 5770, 5005, 5489, 5005, 6507, 6194, 6194, 6194, 6194, 5039, 6122, 5056, 5056, 6389, 6650, 6389, 6389, 5538, 5131, 5538, 5538, 5716, 6416, 5271, 6416, 6416, 5876, 6416, 5720, 5905, 5905, 6578, 5905, 5773, 6429, 6745, 6145, 5527, 5527, 5750, 6020, 5750, 5750, 5187, 7238, 7238, 7238, 7230, 7037, 7330, 6921, 7002, 5357, 5289, 5285, 5880, 5176, 5176, 5296, 6074, 5818, 5751, 5267, 6074, 5959, 5249, 5959, 6489, 5959, 5818, 5554, 6182, 5267, 5554, 6357, 5827, 6357, 5053, 5294, 5474, 6204, 6888, 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