{ "metadata": { "name": "", "signature": "sha256:0634f598dbf1d419e66e4b73e3b00fc01f2823bf82202e29dedebad8fccdd8f7" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Supplemental Code, Data, and Analyses: Immune Response of P. hel " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook accompanies the manuscript xxx .\n", "\n", "This IPython notebook is structured so that when obtained from resepective GitHub repository with data and scripts, the results of our manuscript can be reproduced." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Examining de novo transcriptome" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!head -2 ./data/Phel_transcriptome.fasta" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ ">Phel_contig_1\r\n", "CAAATATATGAACGGTTGATTGTCAACGATTAGTACATGTTTTCATTGTTCCCCACGCCCGCCCCCCCCCACTCAAACATTTAAAGTGTGAAATATTATTTATCCACAAATTTCCTTAAACCTGCAAACTTGTCTGCTGTCTCTTATTGGAAGTTATGAAAAAGAACAACGGGTTTTCTTTAAAGGGTCTGCGTGCGATTTTCAACCTTTTGAGTAATAGCAGTTATTTTGATAACCGATTTTTTTCAAAGCTCAACAGCTTTTTAAAATAAGGAATCCTATAATGGCCAAACGAATACTATAAAAATAAGGGTTCTCTTAATTGTATAAAACGTATAATTTTATCAATTTTGGGACCGTGTAATTTTTTAAAGACCACAAGAATGTTACATACAACAAATAGACGAAACTCGTAGCTTTGGAAACTACGTCATGGGCGTTTGGTCAAAAGCTGGAGAGAAAGAGAGGTGGGGTGCCAGACTTAAGTAGTCACGTGATCTGACCAACGCACATCGGAAGCTCGATCGGATGAAATCTTCTCTATCGTTCTTGCGTCTATACGTGCTACGAAGAGCTGACAGAAGTTTGGACTTGTTTACTTCTTGCACCTGTTGATGGAACGGCCACGGACCTTGTCGCACGCACACCTGGAGCCAGTGCTCGGATCGACGCAACGGATGTACTGTCTTCCCCTTCCGCGTTTCTCAAGTAGGTACTCAAAGTCGTCCGCGTCGAAGTTGGCCTCGGCGTCCCTCTTCTCCAGCTCCTCCATGTCCTCCTCTGTGTAGTACGGGGTGACGAGCACCACCAGGGCGGCCACAATGGCCAGTGCTAGAAGACACTTCGTATTCATTCTGCTGGTGGTTGGATGTGCGCAAACAAGACAGGAGAGACTTATTAGAATC\r\n" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "!perl ../scripts/count_fasta.pl -i 1000 ./data/Phel_transcriptome.fasta" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "0:999 \t15505\r\n", "1000:1999 \t8559\r\n", "2000:2999 \t3003\r\n", "3000:3999 \t1240\r\n", "4000:4999 \t580\r\n", "5000:5999 \t312\r\n", "6000:6999 \t129\r\n", "7000:7999 \t72\r\n", "8000:8999 \t31\r\n", "9000:9999 \t19\r\n", "10000:10999 \t9\r\n", "11000:11999 \t7\r\n", "12000:12999 \t2\r\n", "13000:13999 \t4\r\n", "14000:14999 \t3\r\n", "15000:15999 \t0\r\n", "16000:16999 \t1\r\n", "\r\n", "Total length of sequence:\t40747496 bp\r\n", "Total number of sequences:\t29476\r\n", "N25 stats:\t\t\t25% of total sequence length is contained in the 2260 sequences >= 3085 bp\r\n", "N50 stats:\t\t\t50% of total sequence length is contained in the 6715 sequences >= 1757 bp\r\n", "N75 stats:\t\t\t75% of total sequence length is contained in the 14612 sequences >= 959 bp\r\n", "Total GC count:\t\t\t16459121 bp\r\n", "GC %:\t\t\t\t40.39 %\r\n", "\r\n" ] } ], "prompt_number": 3 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Annotation of transcriptome" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order to annoate the P. hel transcriptome `blastx` was used to compare sequences to the UniProtKB/Swiss_Prot database. \n", "The specific code is \n", "\n", "```\n", "blastx \\\n", "-query Phel_transcriptome.fasta \\\n", "-db /your/databaselocation/uniprot_sprot \\\n", "-out Phel_uniprot_sprot.tab \\\n", "-evalue 1E-05 \\\n", "-max_target_seqs 1 \\\n", "-max_hsps 1 \\\n", "-outfmt 6 \\\n", "-num_threads 16\n", "```\n", "\n", "This analysis could be run within notebook assuming user has `blast` installed and access to the protein database." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!blastx \\\n", "-query ./data/Phel_transcriptome.fasta \\\n", "-db #/your/databaselocation/uniprot_sprot fasta @ http://www.uniprot.org/downloads \\\n", "-out ./wd/Phel_uniprot_sprot.tab \\\n", "-evalue 1E-05 \\\n", "-max_target_seqs 1 \\\n", "-max_hsps 1 \\\n", "-outfmt 6 \\\n", "-num_threads 16" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "code", "collapsed": false, "input": [ "# blastx output\n", "!head -4 ./wd/Phel_uniprot_sprot.tab" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Phel_contig_100\tsp|Q16513|PKN2_HUMAN\t81.33\t332\t61\t1\t7935\t6940\t653\t983\t5e-162\t 537\r\n", "Phel_contig_1000\tsp|Q8R4U2|PDIA1_CRIGR\t53.62\t442\t201\t2\t199\t1512\t31\t472\t5e-146\t 464\r\n", "Phel_contig_10006\tsp|Q9Y2H9|MAST1_HUMAN\t70.93\t289\t82\t1\t861\t1\t434\t722\t6e-132\t 415\r\n", "Phel_contig_10021\tsp|Q96MU7|YTDC1_HUMAN\t60.85\t212\t82\t1\t1115\t1750\t294\t504\t1e-73\t 258\r\n" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "#determining how many sequences have blast hits\n", "!wc -l ./wd/Phel_uniprot_sprot.tab" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ " 10513 ./wd/Phel_uniprot_sprot.tab\r\n" ] } ], "prompt_number": 5 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "SQLShare will be used to join with additional information" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#convert pipes for upload to SQLShare where blast results will be joined with Gene Ontology information\n", "!tr '|' \"\\t\" <./wd/Phel_uniprot_sprot.tab> ./wd/Phel_uniprot_sprot_sql.tab" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "!head -2 ./wd/Phel_uniprot_sprot_sql.tab" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Phel_contig_100\tsp\tQ16513\tPKN2_HUMAN\t81.33\t332\t61\t1\t7935\t6940\t653\t983\t5e-162\t 537\r\n", "Phel_contig_1000\tsp\tQ8R4U2\tPDIA1_CRIGR\t53.62\t442\t201\t2\t199\t1512\t31\t472\t5e-146\t 464\r\n" ] } ], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "#sqlshare python tools location (setting variable)\n", "#instruction for installing sqlshare python client @ https://github.com/uwescience/sqlshare-pythonclient\n", "sst=\"/Users/sr320/sqlshare-pythonclient/tools/\"" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "!python {sst}singleupload.py ./wd/Phel_uniprot_sprot_sql.tab" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "processing chunk line 0 to 10513 (0.0289092063904 s elapsed)\r\n", "pushing ./wd/Phel_uniprot_sprot_sql.tab...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "parsing 01B19D76...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "finished Phel_uniprot_sprot_sql.tab\r\n" ] } ], "prompt_number": 10 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Joining with UniProt information in SQLShare" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python {sst}fetchdata.py -s \"SELECT * FROM [sr320@washington.edu].[Phel_uniprot_sprot_sql.tab]phel left join [sr320@washington.edu].[uniprot-reviewed_wGO_010714]des on phel.Column3=des.Entry\" -f tsv -o ./wd/Phel_uniprot_info.tab\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "!head -2 ./wd/Phel_uniprot_info.tab" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Column1\tColumn2\tColumn3\tColumn4\tColumn5\tColumn6\tColumn7\tColumn8\tColumn9\tColumn10\tColumn11\tColumn12\tColumn13\tColumn14\tEntry\tEntry name\tGene ontology IDs\tInteracts with\tCross-reference (GO)\tGene ontology (GO)\tStatus\tInterPro\tPathway\tProtein names\tGene names\tOrganism\tLength\r", "\r\n", "Phel_contig_100\tsp\tQ16513\tPKN2_HUMAN\t81.33\t332\t61\t1\t7935\t6940\t653\t983\t5E-162\t537\tQ16513\tPKN2_HUMAN\tGO:0005524; GO:0043297; GO:0043296; GO:0006915; GO:0007155; GO:0007049; GO:0051301; GO:0032154; GO:0005737; GO:0005856; GO:0010631; GO:0042826; GO:0030027; GO:0016020; GO:0030496; GO:0005634; GO:0032467; GO:0045931; GO:0004697; GO:0004674; GO:2000145; GO:0006355; GO:0007165; GO:0006351\tQ15118\t\tATP binding; apical junction assembly; apical junction complex; apoptotic process; cell adhesion; cell cycle; cell division; cleavage furrow; cytoplasm; cytoskeleton; epithelial cell migration; histone deacetylase binding; lamellipodium; membrane; midbody; nucleus; positive regulation of cytokinesis; positive regulation of mitotic cell cycle; protein kinase C activity; protein serine/threonine kinase activity; regulation of cell motility; regulation of transcription, DNA-dependent; signal transduction; transcription, DNA-dependent\treviewed\tIPR000961; IPR000008; IPR011072; IPR011009; IPR017892; IPR000719; IPR017441; IPR002290; IPR008271;\t\tSerine/threonine-protein kinase N2 (EC 2.7.11.13) (PKN gamma) (Protein kinase C-like 2) (Protein-kinase C-related kinase 2)\tPKN2 PRK2 PRKCL2\tHomo sapiens (Human)\t984\r", "\r\n" ] } ], "prompt_number": 38 }, { "cell_type": "code", "collapsed": false, "input": [ "#cleaning up table to only show certain columns" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "code", "collapsed": false, "input": [ "!awk -F\\t '{print $1, $3, $24, $13, $26}' ./wd/Phel_uniprot_info.tab | tail -n +2 > ./wd/Phel_uniprot_ID.tab" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 73 }, { "cell_type": "code", "collapsed": false, "input": [ "!head ./wd/Phel_uniprot_ID.tab" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Phel_contig_100 Q16513 Serine/threonine-protein kinase N2 (EC 2.7.11.13) (PKN gamma) (Protein kinase C-like 2) (Protein-kinase C-related kinase 2) 5E-162 Homo sapiens (Human)\r\n", "Phel_contig_1000 Q8R4U2 Protein disulfide-isomerase (PDI) (EC 5.3.4.1) (Prolyl 4-hydroxylase subunit beta) (p58) 5E-146 Cricetulus griseus (Chinese hamster) (Cricetulus barabensis griseus)\r\n", "Phel_contig_10006 Q9Y2H9 Microtubule-associated serine/threonine-protein kinase 1 (EC 2.7.11.1) (Syntrophin-associated serine/threonine-protein kinase) 6E-132 Homo sapiens (Human)\r\n", "Phel_contig_10021 Q96MU7 YTH domain-containing protein 1 (Putative splicing factor YT521) 1E-73 Homo sapiens (Human)\r\n", "Phel_contig_10025 Q8BFQ8 Parkinson disease 7 domain-containing protein 1 2E-70 Mus musculus (Mouse)\r\n", "Phel_contig_10030 Q5RA95 Protein NDRG3 (N-myc downstream-regulated gene 3 protein) 3E-69 Pongo abelii (Sumatran orangutan) (Pongo pygmaeus abelii)\r\n", "Phel_contig_10031 Q8LEV3 BTB/POZ domain-containing protein At2g30600 5E-07 Arabidopsis thaliana (Mouse-ear cress)\r\n", "Phel_contig_10034 B9EKI3 TATA element modulatory factor (TMF) (Androgen receptor coactivator 160 kDa protein) (Androgen receptor-associated protein of 160 kDa) 2E-161 Mus musculus (Mouse)\r\n", "Phel_contig_10039 Q5FVB0 Ataxin-10 (Spinocerebellar ataxia type 10 protein homolog) 1E-59 Xenopus tropicalis (Western clawed frog) (Silurana tropicalis)\r\n", "Phel_contig_10040 Q6EAS5 1,4-alpha-glucan-branching enzyme (EC 2.4.1.18) (Brancher enzyme) (Glycogen-branching enzyme) 0 Equus caballus (Horse)\r\n" ] } ], "prompt_number": 74 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Differential Expression Analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Count data from CLC..." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!head ./data/Phel_countdata.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Feature ID\tTreated_FHL - Total gene reads\tTreated_PH - Total gene reads\tTreated_L - Total gene reads\tControl_FHL - Total gene reads\tControl_DB - Total gene reads\tControl_PH - Total gene reads\r\n", "Phel_contig_1\t168\t37\t8\t89\t28\t38\r\n", "Phel_contig_10\t9518\t2752\t839\t22\t42\t180\r\n", "Phel_contig_100\t260\t565\t413\t616\t1234\t6104\r\n", "Phel_contig_1000\t2043\t3842\t3070\t4311\t8527\t31946\r\n", "Phel_contig_10000\t9\t12\t13\t32\t21\t211\r\n", "Phel_contig_10001\t44\t225\t89\t90\t54\t365\r\n", "Phel_contig_10002\t38\t61\t80\t185\t478\t1267\r\n", "Phel_contig_10003\t9\t29\t20\t17\t29\t186\r\n", "Phel_contig_10004\t8\t25\t6\t4\t19\t92\r\n" ] } ], "prompt_number": 50 }, { "cell_type": "code", "collapsed": false, "input": [ "!wc -l ./data/Phel_countdata.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ " 29476 ./data/Phel_countdata.txt\r\n" ] } ], "prompt_number": 51 }, { "cell_type": "code", "collapsed": false, "input": [ "%load_ext rpy2.ipython\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "The rpy2.ipython extension is already loaded. To reload it, use:\n", " %reload_ext rpy2.ipython\n" ] } ], "prompt_number": 35 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R \n", "#source(\"http://bioconductor.org/biocLite.R\")\n", "#biocLite(\"DESeq2\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "text": [ "NULL\n" ] } ], "prompt_number": 36 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R\n", "library(DESeq2)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 37 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R\n", "data <- read.table(\"./data/Phel_countdata.txt\", header = T, sep = \"\\t\")\n", "rownames(data) <- data$Feature\n", "data <- data[,-1]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 52 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R\n", "# Build Objects\n", "# Specify which columns are in which groups\n", "deseq2.colData <- data.frame(condition=factor(c(rep(\"Treated\", 3), rep(\"Control\", 3))), \n", " type=factor(rep(\"single-read\", 6)))\n", "rownames(deseq2.colData) <- colnames(data)\n", "deseq2.dds <- DESeqDataSetFromMatrix(countData = data,\n", " colData = deseq2.colData, \n", " design = ~ condition)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 53 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R\n", "# Run Analysis\n", "deseq2.dds <- DESeq(deseq2.dds)\n", "deseq2.res <- results(deseq2.dds)\n", "deseq2.res <- deseq2.res[order(rownames(deseq2.res)), ]" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "text": [ "estimating size factors\n", "estimating dispersions\n", "gene-wise dispersion estimates\n", "mean-dispersion relationship\n", "final dispersion estimates\n", "fitting model and testing\n" ] } ], "prompt_number": 54 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R\n", "head(deseq2.res)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "text": [ "log2 fold change (MAP): condition Treated vs Control \n", "Wald test p-value: condition Treated vs Control \n", "DataFrame with 6 rows and 6 columns\n", " baseMean log2FoldChange lfcSE stat pvalue\n", " \n", "Phel_contig_1 114.07829 1.62009683 0.9832754 1.64765323 9.942385e-02\n", "Phel_contig_10 5492.70960 7.62981964 0.7912097 9.64323332 5.250751e-22\n", "Phel_contig_100 786.08744 0.01618812 0.3188107 0.05077657 9.595036e-01\n", "Phel_contig_1000 5406.89996 0.21136426 0.3459447 0.61097705 5.412148e-01\n", "Phel_contig_10000 24.76992 -0.20013559 0.6269094 -0.31924166 7.495433e-01\n", "Phel_contig_10001 136.22441 1.60180411 0.5966195 2.68480001 7.257322e-03\n", " padj\n", " \n", "Phel_contig_1 2.778325e-01\n", "Phel_contig_10 2.773165e-19\n", "Phel_contig_100 9.834211e-01\n", "Phel_contig_1000 7.554609e-01\n", "Phel_contig_10000 8.842128e-01\n", "Phel_contig_10001 4.354393e-02\n" ] } ], "prompt_number": 55 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R\n", "# Count number of hits with adjusted p-value less then 0.05\n", "dim(deseq2.res[!is.na(deseq2.res$padj) & deseq2.res$padj <= 0.05, ])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "text": [ "[1] 3773 6\n" ] } ], "prompt_number": 56 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R\n", "tmp <- deseq2.res\n", "# The main plot\n", "plot(tmp$baseMean, tmp$log2FoldChange, pch=20, cex=0.45, ylim=c(-3, 3), log=\"x\", col=\"darkgray\",\n", " main=\"DEG Virus Exposure (pval <= 0.05)\",\n", " xlab=\"mean of normalized counts\",\n", " ylab=\"Log2 Fold Change\")\n", "# Getting the significant points and plotting them again so they're a different color\n", "tmp.sig <- deseq2.res[!is.na(deseq2.res$padj) & deseq2.res$padj <= 0.05, ]\n", "points(tmp.sig$baseMean, tmp.sig$log2FoldChange, pch=20, cex=0.45, col=\"red\")\n", "# 2 FC lines\n", "abline(h=c(-1,1), col=\"blue\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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OA5oDvmTbDX2hywUDTZs2JXd39xJvx71GdeEI89jK2f72eEoYPopOnjwp/aH/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DCahTk53+q0XFn2p7Y+T376/BOp/r9e8tUXn8q7zz8tc++8XXaouRfCdTDl4tbyw8u9pdGjTwrp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\nsAAiAOWMM85wLzSLV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Cv+WIvAZhFBDeOMCEEfar4ZcSg85nMgpgAmeAIN2EyK/qBwP+RA\nkAMgCmF+858XNBl70ZppMjgu/H7gcgDhZnT66adHhC9tCETMwbglDImKRRnmcl9jxycLIVxZACBQ\nKSPIGOruQizqENS2MCBK2YigLQgNHOsczxtCEi3c+tHO4gMBiqbMIgL/smFL21yxtiaw0f4zIxYq\nnNuEfmb9w+MHNwdiRkGTJ8fKb2+F4x/cbM9/d8/LCZMeWg6mZl5+vAyD0bzBSkj5jxP5946CaUy+\n5o02aYRgJq8XbZj3R8eOHd1zgK8VHAHwnulDmUGEMgF5CESEL0TgFKZxBC4+Zp4hE752Dtv6pl58\nyqah+r5tzms1h9HGcY+gpQYjwFE6eG6DACOdOnVy0dmxkLnsWjgP78xBgwZFgsLsWLgNORCNAzEF\nMD4ccvGImiS1ADMR/ylJGFLIgYw4gHnSwAx4wfpERHRWNAl/TLifNzgAsEZW0md8AYYmiAA1/z9m\nZYQqqT+WG4y52CdM2faMILxNUBJZjaaLtg1dcMEFkWEIaKAu0aQhgquMeOYsnYloaSL1scj4gB/0\nxTzNc2u+ahvP9ePbzoz8+7b7zWxMePzg5kBMEzSh+/hxghT6gIMcOTi+YxJEu81KOUr8YAhe8jot\nstW4BJgCL2UT0NYebvecA2Yq3dOZ+O2iCRA001iEkPK1TvoRxQx2gH8MbReTMn5afMEIYzRLTMQI\nXbRs5rHnA3Mxmi0maMy7fAe0I+hnRfNkHJo0xwzAg+tA+GLW5hiEb9qeS6LCDdUNPzTpVCwAckLk\nRRMUxgLUFg05mSccc/BwIKYA5qHnf5AsGCPYHn7Pvxzg5WjIRPjcgtrAlClT3EsHHx4vN16svMB5\nyWFmJEXEXs6koCCEQ0rPAV9IpT+S8TcWxJZTHctMm/EMux+NJnx375W+xX5fv9Vyc/1jvD+Al+Q/\ndNlll7lnw/oixCyliOOYtu3+bJ5gNDL+ZjtG6iRERDP+ZqK34S1m5zZt2ri58QkDyoGZ2wfg4Nnc\nU3xmzhMKX/cThB9Z4EBMEzRA5UQbApkGXBtJ9+TbkeQe0sHFAV5gRr5mQRsClyo6uCzYh+wliCaF\nVmYvR46Fwhcu7E4+j3Y/GruFlz1pOGiSQULL9ImFkU+Ycy0NyNqDLgNrt212MADw9wYJK4pPpBJZ\nsBXtwbq7CF//+aMP2rBP3D9WF8gvqGC5x9YXfzHaLvPVUEQ2tGIWAr7p2PraFuGORgsRPIbZ2iLB\nrU+4DTmQUw7serMGZujdu7czAxE1iMbzyCOPuD/0e+65J9Az/JrfOYDQJdUD8xovNZ98gczqH+Kl\nBaFJZbWyjhsQfmSbA2iL+FX9XH2bxLRK+26AE/YdC0XQ3+n/ntbPtghngCz2hCzVyeZAIwY4w4Ss\nAbhgfWPBD7E48RcGQTcYx6hFjenZfMc2v78NQliSyoTA79u3b6Qb58KXjLCFpwSGDRkyxAWVGXIX\nPuSQQg7kBgdiCmD+eLt16yZXKTwb0YFowyAZUZIwpIOPA2iyJmD9u8fEZ2QBMLalPbPIURsbbvc9\nB/htAEkxQuCZb9Ta2JJORCATC6qgEOe4aZ/sRyPOYelC/nE0cCMTwPadCGs0W4QqCz+ePTR6/Lmg\na2WXeJ+RU4wwNeJ+uSdgUo3QiHG5IGx9bZyIfnCjuaac+ojtHOE25IBxIKYApvg0fhIefFaCoMWw\n8owGaG6ThduDkwP+ixQOYNozMmAG+x5u9z0HgsLNroBFFULIcnHBio5GCKJgXqtvSraiDNHG0oZW\ny3uEvHAL4mPhhv8Xywopj+Z7NRAXxpk2DkoWcyBE0Zgp7hDN300VLmrtRlskoGWjKZs5mflPOOEE\nd24LwqLNAk85N643u2/wo/lOIZGgKZ9xuU28b7FORLuX3D5XON/+40B6p5B3Hfh6iUjEx3ThhRc6\nQHMEMaaekEIO+BwgLQRfHsQ+PmBeVr5vz+8f7ucuBxAsGQVOxfIvY762YKjgFSEsEQJYMwhe8k3V\nCFPfyoH/P0j+NSE4+Q+Z4Aa1Cn8qQhjt2p4f8++iabIwQBM2NwYLCbsXTOHk9uL7NiudpR7hezZB\natdF4BVmZV/j5xjnRjjzrHKfhiGNGwVgGSK59weRSwzBd6yPIeVPDsQUwARd8ZDzB4Mgfu2111wO\nHn8wIYUc8DlAcIu9cNmiMVkaid/P9oMvcGsPtznjQEbCN6MZg/5Y68vfu+EyWxtCAN8o5AtfO86W\niHcWXghRsKI//vhjd5i55mmuL1ps8Jz0QdiC1wxutEU8m7+WCHsjhC++YT+NzXzfWOxYNGBCj+b2\nQHifccYZNpW7B4QsmrgJXQpa+M/t/oxm5v2LGRyz994k7hdfOGZ9y5Xem+cL507PgZgCmD+Wu+++\n20W4+lF/rJrBhw4p5IBxAJMcwXq8PMF9hoLBWtaXLS9wBDXah+FF+8fD/f3LAQQZgpK8Wfy7mGgz\n8/NyxZMmTXJlSgHsMGFNO2Zl5rMgJtp8QtiOHz9errzySqGcoBH97fmwBR4aMUIYQY9ygOA1AiiI\nxUgsk7v1w8frXx8WGyL4EUYIIbRq/LxmArdx+3ILopeheu3N8xpcJ6b7YG713jxvOHcqB2IKYIox\n8LA//fTT7kVpDMvKH6L1Dbf5kwOAcgRzgblTMwGyzwIuI+JFaS/XjPqFx/Y9B9CIEGz4W/lP0QX8\npZkRvyl+2GCciJlTGY8wNjMz31m84eckepnKSj75mNFAV5q2a5HO5jdmDJovFbmgJk2auEUe52IR\nQSrlSSed5I4RSBr0q4JfPm7cOCeE0Th9oe4G5eMP0rb4zXzrQD6+3Tx3azEFMFF/Xbt2DSP+8txP\ntn8viKAqzIkI4GBkK5pPSAc+Bwhw8gOyEIxffvll1BvD14oGa0IVrQ10Kd4f0Qj4SevLcawgBl2K\nIPAJrRdTLISw5TuaarTFn58HjUkZc7WZrwniws+LmdWEL5jkBKBhzsYEboGDHCfIC8LsHkx5cgfy\n0Qd8yK7ma1aIfMSG/XYrMaOgiUwkB86CHvbbFYYnzlMcMP+f1VD1L85e0v7L0D8e7ueMA8Eo85zN\nIkK0Mq6CnFDQd8scwNUiwEygIrDw71tZQPog9EgjIpgJf6v5djnGy9+0Wr4HCY0akzAaKe8ixrIA\ntGfQ749WTDAW9xjtncWiAvcZ+NEsAtD8aAuCcGCeNrJrJUCMgDHfwmN9DrYtxSz4O/fTuQ42HuTm\n/e6mAROAYQ8hNTwxH7HiZPUJAd323HPP5eY1hHMdIBxAOwAhjWchWjQ8ggJTYEYv1QPkVvPUZUbL\nzc3JBWJOxscKmpVFFmc0DxYN3AQIwmiEaZocYSN8r0BHGiIaPlmzihBsxfODAMW/SuQ05l7amAcT\nMc8P5yKWwBZzmLMRnJCZsg3vmTaEPb5gTNRo3dyjT6Q9MR/ClvcY+wh0or/BpIZqKCoWmjbBhJjf\n8QkTgEU7ZKZxUNwO9mpeFg8EH0Pacw7sJoBfeeWViJkm2vT53SQT7Z7DtlQOsCCD7CXpAxjQbhoD\n+5kRL8yg9pHZmPD4nnMAQZQV4cuZMitFSsoZwXYGWGFRz3aVmH3RiPHFImghNFRwmgm6IvWHBT8C\n2YKByLMlyAqfJKZkfM8AAZFahDA1YYiWiynU/L5o2VRtQ7CzQETLJU0JTZeFAQKD5zNo5uaacKnw\nn+AzM3P7PlE0dwS9vxDCpBmWmQAAQABJREFUIvDpp586Mzb3hL8a7drynJk3PxJWD34LguBC2nMO\n7CaAqQgSJB42HnhemiHlfw4gYHmRBYNR0GiwjvAcBIUvXEGzMq0iMy6FwjczDuXt4wRjEvUMmAea\nJYF50Qg/rG8SRkNFcJqVBE3UhDPjrd1SgygRiI/Sgqjw5yLAEfb+gg/NDGFPChLpRAgIv9CCAWoE\nrxGhiYkZUzfaLc83Wr0fbIq1h2pLfswDcJQIZAo6GHGtQWxtO5ZftixQosmI/HJ/+/o+dvMB8/J9\n8cUX5b777otcC39oJLATKRhS/ucALyReJvYS9O8YjQVBHA18IfzD9Dl1YO+Tx5sRIagQlkS7R3sW\nbCwAGL7vFG0UjdInNFdSndBWCcpCQBuhEftERDPC0fzA9CeYijkRwghfiHQ4X7DThhAGbMMnxiDg\n2aKVA/7BOXxCw73iiiuc5cDmJOeZdyXnRkBbH3/cnu6zSH3zzTdlxIgRezpVOD6PcmA3AdyzZ0/p\n06dPOrxVVp+33HKLe9AssjCP3k94WbnAASumEC1NiJcuPjj8dpj4fOIlSC5nSLnLgaykAGX3jGgy\n0cg0Px+yMVo/v8003Ghz4su1mBLGECwVrCvMgg9ri/lX/ecuWvAX8xBwRQQ2Y4jYJkiLXFafUByM\nMDETSIWPF2FpFAxwQ4uORpjI8UdbnrshiLFYgGedOnXabWERbZ7stNk5OC+xFyHlPw7sJoAJdAC0\n3IdyI1fvhhtukNtuuy3yAOY/VoR3ZBzAn4YpLxrova/N+JqKjQ2xn40Tubf1zZy5NSvaWzTyhWXw\nOK4HBJb5OXkv+G4pXBDNmjVzmmZwLEFNmHDJuTWycolB5Cq+419GUAKYEc1vy7npZwsGm5Mt2jvX\nRVCW5aP7zyVmcJ5torbRoCGeeQgrn2/ado36gVkanlnQmQlx//6tb25trfgDCzC7ztyaO5wnb3Ag\nnQDGvMJqkqCJaESCe1jPNRpn8lcbUaUswNgGCROdpRkFX9as1KPlaAbnCL8fmBzAJEowkgVC8b7w\nffloaWPGjHEY0mi0YMgbgQWNEBw+fLhrwo8L/CSEP9UC/AiWQlMltckimln0kfZCBLd/PqKt+Y7J\nmGcVc3eLFi3cedHKMVObSdoimjkf7jSis/2AUj/AyoejpD/EggBTNSZnrsuec9um9srdTxYZl19+\neZZAUHL3zOFs+4oD6YKw+MEJx8d0Ew2DlHYLhthXFxieJ+9xgJeXBd3w4kIr4mVnvioEtAXTBK/e\nIkqD7eH3/c8BACkw+eIPjUV+ji+/OyZgAqMQeL7ZmshlMykzF9qj+U/5zmJt9uzZ7Doy0y+uDQjh\nikkbTZPFoMUjEAx1zTXXOCEYNGWDJc15icxu3ry5i5A2Id+0aVMXuIXgj/YOQ5AStEWUOBo094LQ\nJyXJQDp8H7PBVLJQQDEJKeRATjiQTgNmgquvvlqohMQflRF/XJiC8A8TNRjSwcOBadOmRQJe7K79\naFCiUUlr8c12GWkFsXx6Nne43X8c4DeMJXyjAfUj3ECoArQHCppjM8IDx3RsPk67YzRkE/AI0Pbt\n27u4E6wuFriFEEdD9rVUtFIIjRahjdmZ9CQCpzCLQygXmJlj4SuzQCCdyuIfQPOCWAiwWOCcvh8W\noYspPlo+vBsYfoQcyAIH0mnA9O/SpYtbXbJKJGqQ5HRWqvwxURormmachfOEXQ5ADhAVygqfwDtM\nYbbqD96Kvax4EaOxEPDiQxn6/X0Tot8e7u99DvDbmFmXsyGsYvmCg1cTTTCTx0u0PELO4AzRUO0c\nBGAFz0GuLUIUczHWEwtqCiIroV0T7AcRXU9akR8AymIBTRjLC30h7gWBafnLmLZZ8BGljfA1Ldt1\n9j4QsIzBZ8x/FpCG9IbgN8sO/mGecRalBIqFyojHxHA3RxzYTQNmFoKteMAJyKIiEg8+DzFFqUM6\neDjgr/gxzWVGvIzRlHghB7WhzMaGx/c+B0ww2pkyEr6ZVRTCXG1BeFhA0BAB3gieA00XYA0jBBxm\nYkqdorH6BRUQaAhTUo8M/Ypx06dPdwIPIYwigOaJIEerNeFLP4S9/5xyfZYiZcKcfj7he0bAIlQh\nrpdnGJM181F+FW0cAk4THzULTGoF29zuYPgRciAHHIgqgJmHBHtyPvljwC8cLSAnB+cLhxxAHCBK\nlJcQ5Bdk57tpPOzzrED28gsG57iD4ccBxQFLLULQRSOEofWx4+ante9sMRVTD5ioY18Qf/PNN05o\n+35jFgQIPIL70Ep9QnvH+obGSxAYKUcI/aBmTp4vApQAsCD4BumVvh+a+e2ZZZ93HcFWBG4hYMHN\nRgPGxM3zjvA39wrCP7NcaeYMKeRARhyIKYAzGhQeO3g44GsomPd8skWZ/xLDhxf6eX0u5f19hEks\nQmMNEguzoP822Me+o0kT+YyGiS83SP4zRQAWQp3AJyPiDQiOMmhIQ2AzTRs3iU8EAHbs2NEJRzRW\nBKelVDK37ztmHNYa03BJvySQCzJftPvifZDHzJyYvzOzEnjDwt2QA1E5EArgqGwJG40DpGwYYWL2\nKZqgRUNBI0briUWWxhTreNi+bzmAhoeGmVXCb5uR+dqfxwQeGq0f2EnqECZoTMi2kGMcflueH3Nh\nkAOMiRgfLdjLjRo1clWYCABDIyXtyIjgKyKjeQb79esXqTdNvjD/EbSYzoPka8pgSONzjpYDT2AX\nWjeLCbacJ6SQA3vCgUIPKe3JBAfKWP54+INh9R5SdA7wUsX8hnaD6dEKn8M3glIIZLEXIzMAEBAE\nieAliEYcbPfPGE1w+8fD/X3LAX7boGl2b1yBCWPmRvNFi8WEzHOHFo6GilZJ4J8BaJiZG02cuBQi\nlfEBA4jBIo/++GUR2uQJMx945Dxj+KQNRQzNmfPxfGNG9gOyMDMDCsJzzoIArTha1Del+CDz/eI/\nDsJWug7hxwHFAaLvWXgZwMy+vPjdbE8EH/hJ6cGLAa/1qaeeCjbn2ndeBPzxRUO4ybWThBNF5QB8\n5yWE35eXi6HvEHzHSws4Pl5UoB3FIvKDw5dSLO78P3vnAR5F+TTwoYde0ygK2AuCoNgRsRcEUQEF\nK/aOvaP42UXsFRUVxQaCigUbiiKifzt2BGnpCR2kfvN7kznebO6SSwJJgJ3nudvdt+/c3s47fdMt\n55lAcuGrG0q6G9oT4xl9rxn0wbUacfX7Y2HPRsDaQVghshBCiCrxos0OAS7ZxNkE+CD4RzQxetDl\nyHyM4ZJ9Gwb00Eh3INoQekTXcMWEyETfDEGGg0bvjeW3QeiCZJgIj2XFQBER9O233y4PPvigXHTR\nRY4Qw/U88sgjcsEFF7g5NkbAfYI2XH/99c5Igz8toin+eDzwzz33XFnvLexXSgwgnuOFycsOUZ8P\nvOQAXng+BDMmUeeH/fPbhuebLgYIJVka4sud8r8m9rIvYob4mrgbMfJpp53mRL6mhzUMwfnCwWIN\nDXdL8BcLY4lRqIFZYhsHb0aDHOFmERUb4Tbpl5/gAe4ZFyhfKmOhLyG+AFbeuFdBfE0HTcxz8022\ntYTHEAOlxUA1Ff9EDQoLwcUKmiDjBlgGQqCDukCrL+sR32N2obfddpuzOIT4Im769ddfnUsUgdfP\nP//8Eofnj2R/nmBjduHsao2QBOvD6+IxYJwGrdALWzQhfieMV3zAV5JydGW84ELY/DGAusIXMcdz\nxxBJXj9kFkIkjfTFEjHAceJ+RD0bcQyz/P8uHCztMZpi086mESIKh40KhbFZD7pnxsAwK5pYGQJt\nYPeAeBrGA3cp3nWUMzYbEJ573y7C+obHTRcDV1xxhXs+eOYqGoqIoG0BPMizZs2yS3dkB2hiyUIV\n5byAY+JP45v1I5JiAwA3PmTIkLgIMFybRcUJLgmxetBlIdgm2jV/cvyh2T1H+wNH67M5liF6thcg\nCbnRmcABRDNqmaSWqSRZh/jaS3ZzxMmmdk88v2X5DxR3n3CzqByQhBCz2fxpg30sl7Rv9Wx7fz+r\nFoF/0MVhuQyhQxXCe4GIawbGwZpvL+5NZulMGzhnnjvUJoyFzha3JSJjmV2DjcVzzeaSe+D9wXxt\n27Z11dyTiarhyLFrYFOAaByuPIQQA+XFQEwCjJk95v9YILLr4+EjupHpUco7sd+fHS5RZgg9FwTm\n408ZD7BL9l0Y/D5sHExM5ZeXdG5/cv7A9mcsqc/mWo+ezXDI82BxdoP3i/7OuGJ7yQbbbG7XiEWR\n2FRVgEuMRnwxqosnOhmbLXPN4fc14ygMm3wCGuv+IYoQO54ZRMNIpCwWNOXoXuE8LV8va8JgCu7Y\nnjnGZoPNps8MoSgL+irzvoCTJqkMhNja8h/mefSjumHPAOdjNieI2qMB9wzxBdANmzg7WtuwLMRA\nvBiISYAxciD5AgYL/FHYPR5zzDERHUi8E8TTbujQoU7kM3z4cPcn5Q9GTFYsHvnzWQaVeMba0G3g\n5ODQgzqqDT1PVRzPAtLzUuSlhgEe4QUB9GJGgHnRYblqYIY0XEO00QGWVn9oY20qx6pMfMFhrOQY\n8RBf+puRE/9N1AvxQFD6AaeJXjUoqua/zobfByyaEfsiTYFAGxix9e0MCIWKbhbCDvC8MiZrZWNP\nAA8so834C9GyhVVlAwGBNgJs89CfHMMAltR84LKJCkgYTQM2ImzSGY/3I/ccQoiBeDEQUwcc7wAb\nqh27a8TQiL158fPCR6+DA/6GeKgHDx7sxmVXHUJ8GPD1Y8b9jxw5stDLHHEdVtL4XfqAmI4NFIAY\n0Axa/DbhedXHAFwpapiSwOeQg22LE30jEkby5Rtq0d9/9my87t27R1Kl8r6AQPobO3tGaY+9ClbV\nvEt8KQwSMstuRDubB5EyY2GEiOoEv2Pf4DAW80F6VuOM6RvNKJF5Qqi6GKhSOmAIXnFuSHCE9913\n3wbHJn9gs3Lc4IOHA5YJAxhTEfzAd7eA64WrMGDDxDOB6wa6cgPf+ArxZwibJgbiIb78b9ksY7AE\nd+kDhMuSGfjldg43jOuacbZWjkifeNE8O3CpAKkEDXhfYEEN94qaCnWZAdIY310IzhguGrG0H7jD\n2nM0Qg4TYM8u4mh0wmwSYvmI4hXCfwAr7ZD4+hgNz+PBQBERNMTVF0shimE3iKEDD/3GMMKKZ6Fh\nm4rHAL+1z1WwAl60PgG27Fj2krRVYmxjXFG0cIbWLjxuehiAILFRh5uEc+R54B0RJL7oViGOED1E\nyUbkuGMIq4nFfeNLw4aJ9CGciJcRJ/M8BYG+eDegY+YdhbTMYk6j34ZIo7+NBajWILqsFZcndM4m\neiYuNHERfEDkDIOCqySAaN7foPptw/MQAyVhoAgBNvcS9C9nnXWWIHLkYeOhIzybGSWVNHBYv/lg\nAC6FIBy8SIOcCiI4jOgsupDPMZnecPPBROXcSbyGUhW1Op4HjKj43SFuZkwFp+lLz8wimih0QTDi\nSznGUUEdMCJp3kFwnqg5ECUjLvbdiXjW7H2EuJkNAM8hltnBjWNwfrtmM2GBZYw7Lq4vUh6SRUCo\n8QQIIcRAeTAQc2v45JNPOvELO1Eebv5k6FI2ZhSs8txI2HfjYcBcQOxFSpYYA6QlJjHxX6rU4y7C\nyzOE8mEA/PqhE8s32obpzbsAI024RwBO2AhYcTPAVVogDnPrw9DSTz9I/zPOOMPl3m3Xrp0bzvIF\nY13PBgBjKHOLowFcL8S3vIDuOLgWf0yIL1x2kNv324TnIQbixUBMAoxrwVVXXeV83hgM8/+bb77Z\nBUuPd/Cw3eaBAXTBgInjeAH54kCLVhYkwKR/C8XPG+YZ8CULG2bE2KPEo7OHCAL2HCBehisuSeqB\nwZKpK3y3KPPfhwAiVYGz9tVdWOADPItIY+CuYQyA7t27O8tkn/t2FaX8ws0S3TF+7pxHA0TacL7x\nbDai9Q/LQgz4GIhJgNHt8Yfyget4fXL9fuH5hsEAbhS8eHyrzg0zcvGjoH9DLOf7SPpJGax3NB9s\nf61VjYuzdW/Jx2j6VzZS6PrjASOctMUgyvfZ9fsj6gWIqwwgrvbfJXDFGDxBACHSwXzAcMI8g7gL\nmf7V5mIzgIQOSQ1uk2UFM6Li2Y7FTcPpE7CjOL1yWecP+215GCiiAzYUYFhAthECnxPUnMAL7Ay5\nDqFyMGAuVIjBTG9VkSuxcJT4RPICNb9K1oB+jvB9ppOLti5euBXJyUVbQ1i2HgNINLAsxs7DB1+v\n65dHOy9OwgFRNW4XIsk7BQJK1CmzXrYxsSQ2jhciFySAWDBTj/SFIBgY+UGk+S8wHpbW1PmRtmzs\neI/M27dvX0fIwUkY7zlezIXtyoqBmBwwloU4r2MliOUfPm7sTsM4qGVFdfn7wYkCvJx48SH69S1L\nyz9D8SOYvo/NWDBZAz3hcIMvThuRlzovyBCqDgZIrxctrrtFufJXCkdsXKxfjhjZOFK/nHOILyJb\nOMqePXtGgl2wCQtG1LOgP2z2g5bLcMQkdcBYywBpy5577ulc4HiuEAnjumRhKq1daY9YcxuYbYNd\nh8cQAxsaAzE5YCaCCF9yySUbes5wvDJigJcLei9+FwsggHFKRblBmN6P5RN9CCLMi9OAtcBR4dcZ\nBF7qsfRqwbbhdcVhAA6yJIAzNEvnaG0hqBBh85+FIKJ6OPbYY51xFgZVPDvU087XMVtbEydj3ORn\nO2JsdMKA//zZOtD7InqGwFtkNquL90hULaJ74eVBVDf02KyRePjlAVR2EHH8pMPNZ3kwufn2LcIB\n49BufyR2sJbua/NFwaZ1ZxBfgN0/gPgNYsynIsW7RLYynZlbiH7hKuLria18Y6SwtLHDY/kwYITP\nHyX4u5IUJQg+EUVnbO8MI6ioIz766KPIs4nh1BtvvOEslxHv4l7EGL6NAIQ3GPLVN9TCajq4XrPQ\nJz5zWQAx9iwVf7N+C96BXjuWJIc5eC9GkxL485OYgkhw6LUJKBJCiIFoGChCgDHvN9EL5vj8kUKo\nehiAqGGUYmHwWCE+isYZb4wVEzLQjGgY/4svviiys7eA/f78rNGsZf3y8LxqYgD9vgHWxxCoIKCH\n9TlVqzeCSgS1aBwrhAlgA2dcIcSY8RA/W5mNh6gZK2eA8XyJC2UkVgBQkWEjAZEviTi6DvrFhhUV\nDoZo3HM8fr1wyuQGxsLf3pM2nn+0wEWI7eGqQwgxEA0DRQhwtEZhWdXFAC8g/uS8xEwfvLGIMCI5\nP+kC+jLSzPkQK3EGhDnY1u8XnpceA2a0VPqehXuYX66VGjfLNfm1fckK3DCGVBjbWbQq62dHRNbm\nv2tlHHl+jJhybc8rYmRfj8yG7fXXX49wu6yHZxw7gqDtAUkQ2IiimsEokLZBC2rmigbcA1G8iLSF\n8RUiYwxNowFcPnjwjc6ibTCsL2JsjLiwoQktpg0r4TGIgWJ1wMHG4XXVxAB/csAnvJwjSguK9Mp7\nB8Xt+hkbQstL2gy2/PkIFxjChsOAn3WqPKOapbKNEUycAYGCsMFZRvtdrZ8d4Uaj/dYQSAy/DCzC\nlx8DHkKKzhdOGJ9gQlH+9NNPrguukRA2xNAQP9YNR80GAs4YYkxM5rZe8BesohmL8ljAxoDNhImK\n4Yh99yzmQ2wOENuaKFgYHBKpa2P9z9xk4ddmj4GoBBgjGl6k6PTYpfq7PvQwG2rnvdljt4JvECMt\n/ISNS8XoCVEZIUU3FLCrJyUhLmpYZeNaZFmPbA7UGCFsPhgwAsgdQdyiiaT9u8Wwy+eO0fUGg7TQ\nPmjtjHjXEnogymYebApQX7DxMwnKs88+608XOSduPUSdeogmhlmmGyaFoMWIhnhjVDZo0CDntsQG\ngzJUKhDzoD+7z+nCBZuo2izIQ+PCyE8QnpQSA1EJMHkvffB3lFjcmuGD3yY8r3wMQBAR8eGvy+4c\ngGthl46YbkMAL0NLmm7j8SL10xHysoQb4YUYDRgjmq44WtuwrGphAH0mBDbWb8tqP//880KLNuKL\nKBYjT9QUfmYja+yn/6OMZwR3pZKeXdaEsRPPui8V8MNF+kFgMAgDaGv+9Ii4Y83D/4psXzAkvj6X\ne4EIm0GkGzT8CjFQCgwUIcAlObIHjSRKMVfYtIIwwM6eUKI+57IhibDdBpw2xDTayzTWCxpxHxam\nQa7ZxgyPlYcBS4DACoI5fPndkHzBYZYUbhJ3oCARZkzyRpsRFXraF154wYWQNI4TC38kK+iQfSkK\n5z5TgN0DomfEyois6UN2JkTXcKcE+cA+gT4YDSKqRm9twL0gDvf1zlYX68jazAPB2oAvXK1CCDFQ\nVgwUMcLioSruExoUlBXVFdsPPVVQ/wsR9jmE8qyIF+AkTTFHBCJf3FjSmLiVhMS3JCxt/HoL6uLP\nZFITyvidEB3b/x2CxW8OxxfN+pk+bM4xkvKJLzpTAyRpZnhFGZyxhY6EaPIsEfwHgose2QDC57sf\nsenDZYjNAMQXYJ3MjQgZvbG5TnEdJLS9evUSkkLEco+DqMPtlgRsQH2c0R7RNv+zWBvQksYM67cs\nDBQhwFvW7W/ed4sRVlBcjHuIiQTLc/d+SFJ0Z9GAjVwQ4nURCfYLrzcsBoKGV9FG5zmJ9nvFsgFB\nb4s+FNEsgNEU+lWMBE855RRHMLFTgFD6/uLofoPGfbhAIvYFsMRGr2s+wZYRiehYZQFE0Fg8RzMU\nQ+yNHpqgMr7tS3Ae+rMBNXG21VuubNNlW3l4DDEQDQMhAY6Glc2oDCOpoG7LLDrLc5v2cixujGgv\nb9rzAjaDmOL6h3UbBgPR1EZBghdrJjZRcJfk/rVxIHxwoXCgQUDCYgQaK2Y+6FfhRAHGQryNzhbg\nHG78xx9/dNd8EQgEAyqM/XwwYycMqgDjcv02pTm3+6EPzyqcK2JxA9YdC2xzGeSAjzrqKNcFn/kQ\nQgyUhIFSEWAeNl+EVNLgYX3VwUCQCPOyKW6HX9LK0aP5QCCDoG7QgjL47TjHzzMkwEGsbLzrWL9D\ncTMitoXI8p+HOE2fPr1Q1Co4RUsR6I9DP58rjBbq0s+3iwsSz6Jt1pDaIH7mGTHrY8vMhAsUltHo\nfrFzwMiqLKJeLPlJRLH11ltHfIZ91QycO2Ep/WxN/j1yTpvDDjvMcfZ+HfYN/Ndsw+HXhechBoIY\nKEKACT3JA4rVIH8w26nSEed4REkhbJoYOP300wst/IMPPthgOmGCKRhXUGiSKBeINtEphlB1MYC+\n1rdUj0bEg0FXID6+ygMOE2KK6w5hKY1bxJPCNmuWlAGjKThhng3m8oN/QHQNzBAK9yIMuV599VWr\niuvIGtBj86zC7aJ3JrkIRB2CiuEW3H5xfsM2ETiKJgWw+vAYYqAkDBQhwMOHD3dRlTCEQMSDdaH5\nlZY0WFhftTGAUU2QE0YnXFbAv9heQLyM+MQLGImFUHUwwO8IcYMrJKpaWf7zxA8gQxfPGQAhZdNO\nxCnEx+huAebyjaooQ1eMLpgx4Gx9Ebm5tREW1yQvnTt3plupnjnas+nEyAq9soH/DNu4VmdHPzqY\nlYXHEAPlxUARAsyu9pZbbnFO70OHDpX777/fpfryferKO2nYv3IxECTCiADLAujzjKvBfc0iCcUz\nFoZb8XLM8YwXtikfBiByECbUEkTC8jnQ4MjFiVd5HnziGhRBR1Nh7bDDDs5wCw4YC2Y4aaRvcKM8\nYwDcqe/LC4c6YMAAV+6vD+MynmcstqMBomMAsTZibOaxwBrR2lPGc02MaT4hhBjYkBgoQoBxMfB9\n8LBavPjii52/Hn/QEDYPDGwoIowuDYjHqtbHHK5I5TWi8ccLzysOA/zWiJCNOCJqxmDJxLb4xvoG\nTqyM9uh0LWCLcZq4KeEfTD3vGguMQX/aIGXhWfX9eCHwiI/JDxwMm2lEEg4XEXpwI4GtAuOhe8YK\nmnZw3sWB2UqEXHBxWArryoKBIgT4vPPOc/ll77777sh4l19+uXMJGDx4cKQsPNn0MRCM4FNafRoY\nIAiH6fNKixG44Gj+qKUdJ2xfPgzAdUI08Y/1IZiW0K+DCJrhFKJmiKslsx83blwhgy360Z525pML\ndwshRPRcWvCJanDjZzpo/Hwh0oi/g0Ta5iOnNYCYvDiAS+7UqZPbIGCsBYdtqQuL6xfWhRgoCQNF\nImEh6iEknJn82wBDhgxxO9VguDirD4+bHgYIRAAXYAZRZbEohfieeeaZzmoVHSIBFQimwMs2HiiJ\n+4hnjLBN+TDAfzra/zoo8cJyHUIKoUXUzOYJNQJ6WaJX4afL7+8D3K35jKNfNg6X/rxjzMLZ71PS\nOVxsnz59nAEhayS6lhl2IaaGsGMUaGDx7NEvI4I27pwIXKhOTI1i7YNH2nft2tUVk4oQwL0KYy3b\nABQnlncdKuALg1l+H4uZXQFThlOUEwNFOGDGwzcPR3RSivkfXrQYaZG7M9QJlxPzldQdVw7/JRn0\nVyyrPrhjx44CR0H4y3iJLy9S08lVEjrCaYvBACJc3IIM8JCAm4Rg8dvxHoDw8S4gAhREOAhGfClH\nlGsJDPAlJmgFRlFBYHx8gKNtCNHHUo+vMRs+3JXgiHn2fH0z68NXvXv37q4t8xCxjRCtBoi/EW1j\naAow7kjNegTXbNy9tbUj7kkQZPx9sdiGIPPJysqyJpVy5N7JNEUUsmgBRiplUeGkJWIgKgGmFw8u\nfoDXXXedIFLiiLUg4mg4Jz/EXImzhA0qHQPs1CGucKe4fpi4kIXBMfhQFiLMC9U4aX+s4s7hUuAk\nQqi6GEBPz3uAjw/8dkg/4C4hXEAswye/HxwnLkmmP/atna0dm3+IfVAlgsoCgm7BMvDThauGIMLB\nI0rm2bXQqBBokidYIBA2hjvttJNN47h3NhDGMUKcIaoQ9FgMBl4DjIOxqv+8RzMui0xUASd+0BCM\n2ELYNDAQkwBjLHHzzTe7lzPcDS/pG264wSWs5sifr6TEDZsGCraMVZohid2tb1FKWTCoPO4kpQFf\nX4gEJYSqj4F4rNAhgnDCfCxpgt0ZRlBmVIVulxCUEFbcmIzAWlv/iOgZXS2cp0WO8uvRDwMQ14kT\nJ0asqs3WwOdODz/8cGeohejVIBgalbUQv4B3GJxxNICzJ9gIAEGOFSimS5curg1JHiDwcMQYIlY2\n0UP6gFW3xXBwiwy/qjwGYhJgHi4/CAd3gm+g+fixc60Keo8qj+EqskBeKr6+zc+UxBJJQO6/dPh9\nCXQQL1jyB54Ji9kbb99Y7fz1xmoTlpcOA3CLBsa52nW0o0/Yghtu/3fGQhgdK8QRYgYxgOCZURQS\nMzvH6It18ExGI9Q8h/Rl08hn9OjRbmkQZogwBB5gUwDHa/7FrlC/yiKd8++FUKmxAL0vayPjE4Dl\ntx/XOla/0pb/8MMP7t5K49rHhiooqSjtvGH7isVAESMsm56oSexo0dPw4COeQc9DEHLE0G016EJo\nwWrY2jSOuF4gJuSlChfCy8TnhImx64ufiRLEyyZe4IVoRinF5QOOdzyetxBKhwEIW3E6+OLq/Jkg\nLL6awq+Lde7rYBHhwhVawgTL68vzBOF/5plnIqJrJCbYIgSJMc8n1sb4CQO8g+gLoWczAHHmfjHk\nI+IW+k840rIwBhBRxLgQsGi67Fj3vLHKLVwnIne7/401Vzhu5WEgJgfMj84Dj46EXe1VV13lXt48\nqOxu0QuHsOlh4LTTTnMvGvRcGJsEIUhwfYIcbBu89kV/0Qxogu3D6w2PgXgJbHBmCBmcJUQITgri\na9KuYFuuffE1sQNw0/H1pmzGSLBgKTF9rpQwkj73DffpuxbZfBjo8TzyzkEah26XeQmcgTgcN7q2\nygjAsWKARDkGUdHGYkx8fslgFAtwiTI3qVhtKqocUTJSSI4hbL4YiEmAuWUe8r59+zr9Ce4DJt5A\n/xHCpokBXmBmeRxLxBskwk8//fSmebPhquPGAIaVEC78eY042jHaIH4dnG/QbRERKu5BH3/8sSOi\nvr+vcdYQezb66FCD0jSIMkQc4yaCa0BgAd/Nhk0DPrrEckbyYn69QeMt+qHfRfqDGi0eYzH6AIjW\n4ax9vXN+zcb95l2LFbe9czfubOHolYWBmASYP9gZZ5zhTPj5g+DrxwNR2dZ+lYWozWleXEsgsoik\n0TFhcVocxMtVVbYhSnH3ENYVj4HvvvuukFUvrX0iy7UvIob4GaDzNdUDZdRhQAWYOBgChnsMY5ox\nFcQe9x2Iq6+DZSwMvLB29qNPMT+2BkFDKoJuAGb8169fP3ftf2ENjRcHbke4VsYLEH/+I37s6Hj6\nsslAeuRLheLpF7bZsjAQkwA/+eSTEbEPzu7o43gR+xGytixUbX53iw4NHRM+l3AsPgS54HhE0Vi0\nYsxlYEHu7To8bpoYMHGzzwUGN2W+OxEbPMTDWNaTQAHAmhlOEoMp37DLCCwEF//09PT0QqEhmdss\n9JnTd/0xbOKCBNGHiPPc+nYN1oZnEYYClVppAF048/ruS/H0N27cXKLi6RO22fIwEJMAo/9F72sP\nHn8q3JJ8x/otD12b1x2bKJC7wuiDl6QPQSI8YsQIvzrquYm3qfRfylEbh4WVhoFomyOfw/UXFuSE\n/brgOdwpEjOAzRhibVza7FmDoLZVvW0QECVjqIUPMIQUYypcjCCAqMIYC0IYDJ/KOETvQ8Tds2fP\n4LDlvmYd/A8IuVoaYC34KdM/hBADsTAQkwDzIsXi2Qeui0tS7bcNz6s+BniZYUBj4OddtTKfoMIB\nBXV91s6ORCg6++yz3YsHw5wQqiYGom2OfA43FjH278bX61o5gSywGSDgC+oqOF7mQp+LnpkEC/jS\nWmhHxNEQOF+kDUcLIccICaAOLph20QzDWCtW0OaeZGupzCP3hdsVG4gQQgzEwkBMAoyoBrEQfxTc\njojpeuONN8q1114ba6ywfBPEgE9gWX7Q4ApXEB+IYlQS8MLE+CYo1i6pX1i/cTFg+libxedEg4TN\nJ8bWHu514MCBdukCaXTv3t0RVitErwsQ8tSPxwyRxDUNK+QxY8YIc7MBhFBBoLlGN8s60OmOLAgJ\nictRCCEGNlcMxCTA7D7ZxfKH48/IDhOfvJCr2bweBV6MBEYwQMwXTJAQFEXHow/mZQuY/tDGL+7I\nWozrKa5dWFc2DPiGUozgE2Q415KAZ2PUqFGRqE+IjDFugpDibhQUa6OuMrceXIUgvgZYQH/zzTeO\nM7ZsRIihT9f4A74bkRF062dH1otrkvke846q7HjMtrbwGGIgXgzEDMTBALwML7nkkshYPOAYFfhi\ny0hleLLJYgAXM6JemVgSsWGQ6OLHyQvXgBefn6PVyu2IQRaiRAImxJu6jZdoMAOPjRceNywGkFKQ\nk7k0YFyx+ftCKJF0sMnCvScI+OVieAX4kdfwpsBy2sAnuJQRb9kAAh8EjLjgkA1wlWQdPDtsBhB1\nBwFxOJbM6IuD3H6wbXgdYqCiMBCTA462AB7yW265JVpVWLaJYyDouhHkcoP6PuNairttEi3ES3yL\nG2dLqbPwhhVxv3CzpQUIKkBf09myyfKJrxltosMl1CSGVHDBPF/ofpGkQfj9LEhBq2VzYWKuaOFQ\nfdE2beDkbeMGVx0k6LTBpQkra59w0yd0qwQ7IVQWBkpFgCtrkeG8Gx8DiAQtapHNRqo3H4JccVBf\n7Lfl3DjqYHl4HR0D5roSvbbyS43oshIj4MGNGVIy7EdIVQhgtIlKA3sAAmbgzuiLwgn7CAfrA/7p\ncNUQ7mjWxxj6GVjoSJ5fg2hR+uCMARLLAFhlo4smmQSbTd8P2TUIv0IMVAAGihVBV8D84RRVCAO4\nmvkxnOEmguI89LQmirSXcKxb6NWrl3vJxarf3MrRgeKyY/jZ1O+P4DsEvrAgFL7/rt0bXGWHDh2c\nugF9bXZ2toumRXAXuGDiiQME+gDglrGSJzIV7kWouXimDJCyQaDx2fXLqYeztfCpEFJCXSLO5jn0\nN3usg3X5mwNsV8x+BbVI0J+YPMXBjYCtKTyGGNhYGFj/5BfMwAuEP1q0T2n8ATfWgsNxNy4GeKH5\nEORyzzrrLL+6UPKGQhV6YYZYwfLN9RoiUBnEtzSRnaLhHved/v37uxClJOQg/nD37t0dkYL4Ihmh\nzFLxBccgZzABNyCohKnF5Yg4AhBfi1JlffCmwJ0ROxK4YyOy5NeFE0WkDfEkiUMQl36iec6RyBD9\nCq7aJ8DM5RuY2dwcIdrjx493fu+Iw9lgwtlbsA+/bXgeYmBjY6AIB8yfyPQp0SYvbSSZaGOEZVUX\nAxYm0FYIdxE0vCNLlnE2tMNVJFoYSsZCr1nZolU4saDe0O5vcziWJrZxtPvFIIpYzL7LmZ/fGR0t\nol7fLoCkHnC59rtDSJF4AD6uMaJCL4y4l/eKBfKBU+7Tp49rb6kMucBACgtn2uLK5OvF2QAgzsYI\nzLdZIKY5PuysAbc6OOBYBoL2boOb5h75mHjaLSb8CjFQgRgoQoDR1QR3nv56fF2LXx6ebz4YQAdH\nGkoD4tn6lu/o5SCuJpKEewnqh60vHBF9n3322SKxha3Nxj76BGFjz1XW8eHkKlMPSeIEfP5Nz8t6\nSGKPqNZchhDpwp0C6G5j5cG1mMy0m3Hl1dL+gUelxYB+ktMtP4cu5RhaYVXPeIh+e7z1ruQmtpAu\nI550xJrfzIy+aA+wNouylV+S/0051s0G/juKDSTxDCDKAwYMcPHP0SHHWruNER5DDFQEBooQYNvR\nVsTkNsewYcOKiJCsjiPWlGFINx8jG/ccjgKu10/AjrEKXI/BmWeeWYgjwlo1msEM7XlBwp3Eq8JA\nlxoUKdq8m+uxIohv8l8zpFFmlnQYdo/zmfUj3SGaxTCJEIr87oQmxS+XSE7G+cJVYlwVtFrmN8F1\nCK4WOwI/Wlo7Jb7YW+/30quyfOBJzqoZLpff2Ij5T5cOln0nvC9ttV1e714bVBeLURjEF2Bd6KuD\nhN1Vhl8hBioBA0V0wJWwBic+uu6661y2FMRawY+JjSpjbVvqnBjf+IC7hnG8Vo6+0MAXSVsZR16y\nvMDjDciBUU4sQu6PG55LJKtQPLiou2ChHH3fg3LACy/LnCuvKRJmljHgXOFK0ZEilsZ1B4mY6Wnx\n/c7SjdZvPY+TZx59NOLbC5cJ8QWM+KLKwr88b7ttpZqWZ7dvJ6guAETMvg/yrldflV+u7kTNjjnK\nndsXxlvBwDBWF8+RDQQ6ajaVEN/NHcjchO81v0kIVR8DRTjgyljyww8/7MTeiL4f1T92CJWPAV6g\nuIFYthpWhBjZFzW3adOm0EIRRROAwwdzZcIwJx5gsxVv23jGi7cNG4R4OfR4x9zY7dgQIV2I9rIN\nShESdGNjMKNNKzt1xkpYHWPxnKK68jqXXyN5Ki5e3riRM6KDE/ahxRHHSqOMTNll4seS1XZr+fz5\npwvlrDVROlw0OuH0enXzu69e5fS/prpYuHChI9CRKGzrVkjwZYRYHM7822+/LfTcMSC/FRsEcIBk\nprjgGlsC4QUnbJBMx44RWqjbBitVG6rpn7dKbJUwijj33HOFNIjRRFzxoBFOy9wUgu0JW7d06Rj1\nA9wrWBVex8AAj4YfsYhmGDT5OjZehL6omqw1xjHRnjF4MfCCD0MFgpHKg6bz02R17VqyuMCPtvby\nFdJcDeiyt2ojq1SnmzhrttRYtdJxrGnKufI7m/jWVt04K1vqqX6WlwacLbCqXn3JbpXqpBz8dyGu\nBnCgy/6ZKUsb1Hd9mi1bLkv1bJW2Y5MH8AxBmFcqYa+l1s0rdbNQZ9ddIiJqNhnBRAtsGniuADaK\nYeL6/P8aagTwCW7jlTo5JG7BXwsXTpZnnqnvEoVUNBqqDAHe2Dc+ePBgl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S4LNQTkgSq6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\n1MkKV7zgAGeFORawxxLfZ5YQyMnJifr37094wQHhxxLP5FypvWXRSvqBIgr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} ], "prompt_number": 57 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R\n", "write.table(tmp.sig, \"./wd/Phel_DEGlist.tab\", row.names = T)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 71 }, { "cell_type": "code", "collapsed": false, "input": [ "!head ./wd/Phel_DEGlist.tab" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\"baseMean\" \"log2FoldChange\" \"lfcSE\" \"stat\" \"pvalue\" \"padj\"\r\n", "\"Phel_contig_10\" 5492.70960072414 7.62981963801218 0.791209689281713 9.64323331901912 5.250750567205e-22 2.77316470200627e-19\r\n", "\"Phel_contig_10001\" 136.224412089297 1.6018041057117 0.596619525301856 2.68480000700827 0.00725732180374353 0.0435439308224612\r\n", "\"Phel_contig_10005\" 51.5511935035151 -2.6900828854296 0.967063782856695 -2.78170161380993 0.00540747316717733 0.0349741409683566\r\n", "\"Phel_contig_10010\" 8.7342056518699 2.79633731397416 0.8776643866179 3.18611231879866 0.00144198603335619 0.0126467256242587\r\n", "\"Phel_contig_10013\" 189.785994443343 -2.05500342602883 0.505265919047074 -4.06717205447885 4.75871086619138e-05 0.000815875891500461\r\n", "\"Phel_contig_10045\" 50.2388038133868 3.34055697406 0.788340247567732 4.23745582490127 2.26066880151196e-05 0.000436296989553832\r\n", "\"Phel_contig_1005\" 3425.16142786886 -1.72144787339153 0.420615456798411 -4.09268809685368 4.26401104553472e-05 0.000745221107183283\r\n", "\"Phel_contig_10050\" 281.308679616738 -1.59285231061128 0.389992050597291 -4.08431994491107 4.42060880358314e-05 0.000766081995510385\r\n", "\"Phel_contig_10058\" 24.604598291592 2.76328758366774 1.00797592479059 2.74142220633081 0.00611738448267447 0.0381226705570531\r\n" ] } ], "prompt_number": 83 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Supplemental File" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Joining Blast information with DEG statistics" ] }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }