changeset 10:6e573fd3c41b draft

Uploaded
author yufei-luo
date Mon, 13 May 2013 10:06:30 -0400
parents a03838a6eb54
children 989f4b9fb80a
files deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/HTseqClean.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/MAplotDE.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/RNAseqFunctions.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/anadiffGenes2conds.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/barplotNul.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/barplotTC.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/boxplotCounts.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/clusterPlot.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/densityPlot.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/exportComplete.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/exportDiff.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/histoRawp.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/loadCountData.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/loadTargetFile.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/majSequence.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/pairwiseSERE.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/pairwiseScatterPlots.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/plotDispEstimates.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw/f1cond1.tsv deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw/f1cond2.tsv deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw/f2cond1.tsv deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw/f2cond2.tsv deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw2counts.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/removeNul.R deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/README.txt deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/bam_to_sam_parallel.py deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/bam_to_sam_parallel.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/compareOverlapping_parallel.py deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/compareOverlapping_parallel.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/countNumber.pl deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/countNumber.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/countNumber_parallel.py deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/countNumber_parallel.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/deseq.sh deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/deseq.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/fastq_groomer_parallel.py deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/fastq_groomer_parallel.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/gsnap.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/listInputs.pl deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/listInputs.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadHTSeqResultFiles.py deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadHTSeqResultFiles.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadMultiFastqFiles.py deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadMultiFastqFiles.sh deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadMultiFastqFiles.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/tophat_parallel.py deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/tophat_parallel.xml deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/wrappGSNAP.py deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/Galaxy-Workflow-Differential_expression_DESeq.ga deseq/fonctionsNGS/.DS_Store
diffstat 50 files changed, 78706 insertions(+), 0 deletions(-) [+]
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line diff
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/HTseqClean.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,19 @@
+# HTseqClean
+# remove extra counts out of genes
+# for HTseq output
+
+# input : rawCounts
+# output : cleaned rawCounts
+
+# created Feb 6th, 2012
+# Modified Feb 16th, 2012
+# Marie-Agnes Dillies
+
+
+HTseqClean <- function( rawCounts ){
+
+  row2remove <- c("alignment_not_unique", "ambiguous", "no_feature", "not_aligned", "too_low_aQual")
+  rawCounts <- rawCounts[!rawCounts$Id %in% row2remove,]
+  rawCounts[is.na(rawCounts)] <- 0
+  return(rawCounts)
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/MAplotDE.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,17 @@
+# Marie-Anges Dillies
+# MAplotDE
+# MAplot of DE genes
+
+# input : res, alpha,OUT_MAplotDEName 
+# output : MAplot (png)
+
+MAplotDE <- function( res, alpha, OUT_MAplotDEName, out = TRUE ){
+
+ 	if (out) png( file=OUT_MAplotDEName )
+  
+ 	plot( res$baseMean, res$log2FoldChange, pch=".", xlab="Mean expression", ylab="log2FC", main="",
+  		log="x", col=ifelse(res$padj < alpha, "red", "black") )
+	abline(h=0, col="red")
+
+  	if (out) dev.off()
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/RNAseqFunctions.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,39 @@
+# Marie-Anges Dillies
+# RNAseqFunctions
+# when sourced, sources all R functions associated with RNAseq data analysis
+
+RNAseqFunctions <- function( RfuncDir ){
+  
+  source(paste(RfuncDir, "loadTargetFile.R", sep=""))
+  source(paste(RfuncDir, "loadCountData.R", sep=""))
+# source(paste(RfuncDir, "loadStrandData.R", sep=""))
+  source(paste(RfuncDir, "HTseqClean.R", sep=""))
+  source(paste(RfuncDir, "raw2counts.R", sep=""))
+  source(paste(RfuncDir, "barplotTC.R", sep=""))
+  source(paste(RfuncDir, "barplotNul.R", sep=""))
+  source(paste(RfuncDir, "removeNul.R", sep=""))
+  source(paste(RfuncDir, "densityPlot.R", sep=""))
+  source(paste(RfuncDir, "boxplotCounts.R", sep=""))
+  source(paste(RfuncDir, "majSequence.R", sep=""))
+  source(paste(RfuncDir, "clusterPlot.R", sep=""))
+  source(paste(RfuncDir, "pairwiseSERE.R", sep=""))
+  source(paste(RfuncDir, "pairwiseScatterPlots.R", sep=""))
+#  source(paste(RfuncDir, "pairwiseScatterPlotsAll.R", sep=""))
+  source(paste(RfuncDir, "plotDispEstimates.R", sep=""))
+#  source(paste(RfuncDir, "deseqByCond.R", sep="")) 
+#  source(paste(RfuncDir, "edgeRByCond.R", sep=""))  
+#  source(paste(RfuncDir, "fisher.R", sep=""))
+  source(paste(RfuncDir, "histoRawp.R", sep=""))
+#  source(paste(RfuncDir, "histoRawpMconds.R", sep=""))
+  source(paste(RfuncDir, "MAplotDE.R", sep=""))
+#  source(paste(RfuncDir, "MAplotDEMconds.R", sep=""))
+  source(paste(RfuncDir, "exportComplete.R", sep=""))
+#  source(paste(RfuncDir, "exportCompleteEdgeR.R", sep=""))
+#  source(paste(RfuncDir, "exportCompleteFisher.R", sep=""))
+#  source(paste(RfuncDir, "exportCompleteMconds.R", sep=""))
+#  source(paste(RfuncDir, "exportCompleteByCond.R", sep=""))
+#  source(paste(RfuncDir, "exportCompletePaired.R", sep=""))
+  source(paste(RfuncDir, "exportDiff.R", sep=""))
+#  source(paste(RfuncDir, "synthese.R", sep=""))
+#  source(paste(RfuncDir, "exportDiffByCond.R", sep=""))
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/anadiffGenes2conds.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,196 @@
+# Marie-Anges Dillies, Yufei Luo
+# Analyse differentielle de donnees d expression par gene
+# avec DESeq
+# 2 conditions
+
+args <- commandArgs()
+#print(args[1])
+#print(args[2])
+#print(args[3])
+#print(args[4])
+#print(args[5])
+#print(args[6])
+#output file names
+#print(args[7]) # HTML file name
+#print(args[8]) # HTML file all images directory 
+#print(args[9]) # complete xls file name
+#print(args[10])# UP xls file name
+#print(args[11]) #Down xls file name
+#print(args[12]) #the executable scipt (for getting the path)
+
+library(R2HTML)
+library(R.utils)
+
+#run example: 
+projectName <- "DESeqAnalysis"
+analysisVersion <- "V1"    # fitType=local, sharingMode=fit-only, method=blind 
+rawDir <- "raw"
+targetFile <- args[4]
+header <- as.integer(args[5]) #si on a header ou pas, si on a, header=1, sinon header=0
+withOutReplicates <- as.integer(args[6])
+
+#get the directory to write the results
+tab <- splitByPattern(args[7], pattern="/")
+res_dir <- ""
+for (e in tab[1:length(tab)-1]) { res_dir <- paste(res_dir, e, sep="")}
+#get the html output file name
+OUT_HTMLname <- args[7]
+#get the images directory to write to
+OUT_imgDir <- args[8]
+#if the directory dosen't existe, we should create it first
+
+alpha <- 0.05
+adjMethod <- "BH"
+outfile <- T
+runningScriptTab <-  splitByPattern(args[12], pattern="/")
+RfuncDir <- ""
+for (r in runningScriptTab[1:length(runningScriptTab)-1]) { RfuncDir <- paste(RfuncDir, r, sep="")} #find the path of executable script  
+RfuncDir <- paste(RfuncDir, "DESeqTools/", sep="") #define the function files path
+# Dossier contenant les fonctions
+print(RfuncDir)
+source( paste(RfuncDir, "RNAseqFunctions.R", sep="/") )
+
+# Chargement des packages et des fonctions
+library(DESeq)
+RNAseqFunctions(RfuncDir)
+# Chargement du target file
+target <- loadTargetFile( targetFile, header )
+# Chargement des donnees, construction d'une table de comptages par gene
+#have changed
+rawCounts <- loadCountData( target, header )
+conds <- unique(target$group)
+cond1 <- as.character(conds[1])
+cond2 <- as.character(conds[!conds == conds[1]])
+rawCounts <- HTseqClean( rawCounts )
+
+# Transformation en matrice de comptages
+counts <- raw2counts( rawCounts )[[1]]
+
+# Nombre de reads par echantillon
+OUT_barplotTCName <- paste(OUT_imgDir, "barplotTC.png", sep="/")
+barplotTC( counts, target$group, OUT_barplotTCName, out=outfile )
+
+# Proportion comptages nuls
+OUT_barplotNulName <- paste(OUT_imgDir, "barplotNul.png", sep="/")
+barplotNul( counts, target$group, OUT_barplotNulName, out=outfile )
+
+# Suppression comptages nuls
+counts <- removeNul( counts )[[1]]
+
+# Density plot
+OUT_densityPlotName <- paste(OUT_imgDir, "densityPlot.png", sep="/")
+densityPlot( counts, target$group, OUT_densityPlotName, out=outfile )
+
+# Boxplot
+OUT_boxplotCountsName <- paste(OUT_imgDir, "boxplotCounts.png", sep="/")
+boxplotCounts( counts, target$group, type = c("raw", "norm"), OUT_boxplotCountsName, out=outfile )
+# Sequence majoritaire
+OUT_majSequenceName <- paste(OUT_imgDir, "majSequence.png", sep="/")
+majSequence( counts, target$group, OUT_majSequenceName, out=outfile )
+
+# ScatterPlot between two samples
+OUT_scatterPlot <- paste(OUT_imgDir, "scatterPlot.png", sep="/")
+pairwiseScatterPlots(counts, target, OUT_scatterPlot, out=outfile, pdffile=FALSE)
+
+# SERE coefficient calculation (Poisson hypothesis for replicates techiques), to know if the variability between the réplicates or the conditons is hight or not. 
+coef <- pairwiseSERE(counts)
+print(coef)
+coef
+# Creation structure de donnees cds, !! we use newCountDataset because that we have first column not numeric, and DESeq dosen't take non numeric values.
+cds <- newCountDataSet( counts, target$group )
+
+# Diagnostic for clustering of non-normalized samples
+OUT_clusterPlot_before <- paste(OUT_imgDir, "clusteringOfSamplesBefore.png", sep="/")
+clusterPlot(cds, OUT_clusterPlot_before, out=outfile)
+
+
+# Normalisation (calcul des lib size factors )
+cds <- estimateSizeFactors( cds )
+
+# Estimation de la dispersion
+# parametres: 
+	# method: how samples are pooled to estimate dispersion (we use "pooled"
+        # as default parameter. If no replicates, we use "blind".
+	# sharingMode: how variance estimate is computed with respect to the fitted line. 
+	#"Maximum" is the most conservative (max between fit andestimation),
+        #"fit-only" keeps the estimated value, we use "Maximum" as default parameter.
+	# fitType: refers to the model. "Local" is the published model, 
+        #"parametric" is glm-based (may not converge), now we use "parametric" as default value.
+
+if(withOutReplicates!=0){
+	cds <- estimateDispersions( cds, method="blind")#in this case, without replicates
+
+} else if(withOutReplicates==0){
+	cds <- estimateDispersions( cds, method="pooled", sharingMode="maximum", fitType="parametric") }
+
+# Analyse differentielle, ajustement BH par defaut
+res <- nbinomTest( cds, cond1, cond2)  
+
+# Diagnostic for clustering of normalized samples
+OUT_clusterPlot <- paste(OUT_imgDir, "clusteringOfSamples.png", sep="/")
+clusterPlot(cds, OUT_clusterPlot, out=outfile)
+
+# Control plot of dispersion estimates
+OUT_plotDispEstimatesName <- paste(OUT_imgDir, "disperssionEstimates.png", sep="/")
+plotDispEstimates( cds, OUT_plotDispEstimatesName, out=outfile )
+
+# Distribution of raw p-values
+OUT_histoRawpName <- paste(OUT_imgDir, "histoRawPvalue.png", sep="/")
+histoRawp( res, OUT_histoRawpName, out=outfile )
+
+# MAplot showing DE genes
+OUT_MAplotDEName <- paste(OUT_imgDir, "MAplotDE.png", sep="/")
+MAplotDE( res, alpha, OUT_MAplotDEName, out=outfile )
+
+# export complete data
+OUT_completeName <- args[9]
+complete <- exportComplete( counts, res, target, adjMethod, cond1, cond2, OUT_completeName, out=outfile )
+
+# export significant genes
+OUT_upName <- args[10]
+OUT_downName <- args[11]
+diff <- exportDiff( complete, alpha, adjMethod, OUT_upName, OUT_downName, out=outfile )
+
+# write all images results into an HTML file
+prefixHTMLname <- tab[length(tab)]
+#HTMLCSS(file.path(res_dir), filename=prefixHTMLname, CSSfile="R2HTML")
+HTMLInitFile(file.path(res_dir), filename=prefixHTMLname, BackGroundColor="white")
+HTML.title("<center>Differential Expression DESeq analysis.", HR=1) 
+HTML.title("<center>BarplotTC: number of RNA-seq reads per sample.", HR=2)
+    	HTMLInsertGraph("barplotTC.png")
+
+HTML.title("<center>BarplotNul: number of RNA-seq reads that the count is 0 (nul).", HR=2)
+	HTMLInsertGraph("barplotNul.png")
+
+HTML.title("<center>DensityPlot: density of each sample.", HR=2)
+	HTMLInsertGraph("densityPlot.png")
+
+HTML.title("<center>Boxplot: number of RNA-seq reads distribution per sample.", HR=2)
+	HTMLInsertGraph("boxplotCounts.png")
+
+HTML.title("<center>MajorSequence: the proportion of reads associated with the most expressed sequence.", HR=2)
+	HTMLInsertGraph("majSequence.png")
+
+HTML.title("<center>ScatterPlot: Scatter plot of samples.", HR=2)
+	HTMLInsertGraph("scatterPlot.png")
+
+HTML.title("<center>Clustering Of No-Normalized Samples: Representing the no-normalized samples in Diagnostic.", HR=2)	
+	HTMLInsertGraph("clusteringOfSamplesBefore.png")
+
+HTML.title("<center>Clustering Of Normalized Samples: Representing the normalized samples in Diagnostic.", HR=2)	
+	HTMLInsertGraph("clusteringOfSamples.png")
+
+HTML.title("<center>DispersionEstimates: representing dispersion estimates vs mean expression.", HR=2)
+	HTMLInsertGraph("disperssionEstimates.png")
+
+HTML.title("<center>HistoRawPValue: histogram of raw p-value.", HR=2)
+	HTMLInsertGraph("histoRawPvalue.png")
+
+HTML.title("<center>MAplotDE: the differentially expressed genes (red point).", HR=2)
+	HTMLInsertGraph("MAplotDE.png")
+HTMLEndFile()
+absoluPrefixHTMLname <- paste(res_dir, prefixHTMLname, sep="")
+outName <- paste(absoluPrefixHTMLname, ".html", sep="")
+# change name is to be adapted into Galaxy
+file.rename(outName, OUT_HTMLname)
+
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/barplotNul.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,20 @@
+# barplotNul
+# barplot representing null counts per sample
+
+# input : counts, target, projectName
+# output : barplotNul (png)
+
+# created Feb 7th, 2012
+# modified April 30th, 2012 (target$group instead of target)
+# Marie-Anges Dillies
+
+barplotNul <- function( counts, group,  OUT_barplotNulName, out = TRUE ){
+
+  if (out) png( file=OUT_barplotNulName )
+
+  N <- apply(counts, 2, function(x){sum(x == 0)})/nrow(counts)
+  barplot(N, col=as.integer(group)+1, main = "Proportion of null counts per Sample", ylim = c(0,1))
+  legend("topright", as.character(unique(group)), lty=1, col=as.integer(unique(group))+1)
+
+  if (out) dev.off()
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/barplotTC.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,21 @@
+# barplotTC
+# barplot representing total count per sample
+
+# input : counts, target, projectName
+# output : barplotTC (png)
+
+# created Feb 7th, 2012
+# modified April 30th, 2012 (group instead of target$group)
+# Marie-Anges Dillies
+
+barplotTC <- function( counts, group, OUT_barplotTCName, out = TRUE ){
+
+  if (out) png( file=OUT_barplotTCName )
+
+  ylim <- c(0, max(colSums(counts))*1.2)
+  barplot( colSums(counts), col=as.integer(group)+1, main = "Total Read Count per Sample",  ylim=ylim )
+  legend( "topright", as.character(unique(group)), lty=1,
+         col=as.integer(unique(group))+1 )
+
+  if (out) dev.off()
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/boxplotCounts.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,19 @@
+# boxplotCounts
+# boxplots representing counts distribution per sample
+
+# input : counts, target, projectName, type of data (raw or norm)
+# output : boxplot (png)
+
+# created Feb 7th, 2012
+# modified April 30th, 2012
+# Marie-Anges Dillies
+
+boxplotCounts <- function( counts, group, type = c("raw", "norm"), OUT_boxplotCountsName, out = TRUE ){
+
+  if (out) png( file=OUT_boxplotCountsName )
+
+  boxplot( log2(counts+1), col=as.integer(group)+1, main = paste(type[1], " counts distribution", sep="" ) )
+  legend( "topright", as.character(unique(group)), lty=1, col=as.integer(unique(group))+1 )
+
+  if (out) dev.off()
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/clusterPlot.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,27 @@
+# clusterPlot
+# dendrogram of sample clustering
+
+# input : counts, outputName, type of data (raw or norm)
+# output : dendrogram (jpeg)
+
+# created Sept 13th, 2012
+# modified Oct 30th, 2012
+# Marie-Agnes Dillies
+
+
+clusterPlot <- function( cds, OUT_clusterPlot, type = "raw", out = TRUE ){
+
+  if (out) png( file=OUT_clusterPlot )
+
+  if (type == "norm"){
+    cdsblind <- estimateDispersions( cds, method="blind" )
+    vsd <- getVarianceStabilizedData( cdsblind )
+  }
+  else {
+    vsd <- counts(cds)
+  }
+  hc <- hclust( dist(t(vsd)), method="ward" )
+  plot( hc, xlab = "Euclidean distance, Ward criterion", main=paste("Cluster Dendrogram, ", type, " data", sep="") )
+
+  if (out) dev.off()
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/densityPlot.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,23 @@
+# densityPlot
+# density plot of all samples
+
+# input : counts, target, projectName
+# output : densplot (png)
+
+# created Feb 7th, 2012
+# modified April 30th, 2012
+# Marie-Anges Dillies
+
+densityPlot <- function( counts, group, OUT_densityPlotName, out = TRUE ){
+
+  if (out) png( file=OUT_densityPlotName )
+
+  couleurs <- as.integer( group ) + 1
+  ylim <- c(0, max(density(log2(counts)+1)$y)*1.5)
+  plot( density(log2(counts[,1])+1), main="Density of counts distribution", col=couleurs[1], ylim = ylim )
+  for (i in 2:ncol(counts))
+  	lines( density(log2(counts[,i])+1), col=couleurs[i] )
+  legend( "topright", as.character(unique(group)), lty=1, col=as.integer(unique(group))+1 )
+
+  if (out) dev.off()
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/exportComplete.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,20 @@
+# exportComplete
+# export complete data and results
+
+# input : counts res, target
+# output : complete data and xls file (in text format)
+
+# created Feb 14th, 2012
+# modified March 9th, 2012 (order of cond1 and cond2)
+# Marie-Anges Dillies
+
+exportComplete <- function( counts, res, target, adjMethod, cond1, cond2, OUT_completeName, out = T ){
+	
+	complete <- data.frame( res$id, counts, res[,3:ncol(res)] )
+	colnames(complete) <- c( "id", as.character(target$label), cond2, cond1, "FC", "log2FC", "rawp", 
+							paste("adjp",adjMethod,sep="") )
+
+  if (out)
+  		write.table( complete, file=OUT_completeName, sep="\t", row.names=F )
+  return( complete )
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/exportDiff.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,42 @@
+# exportDiff
+# export differentially expressed genes
+
+# input : complete, alpha, adjMethod, projectName
+# output : diff genes, up and down in xls files
+
+# created Feb 14th, 2012
+# Marie-Anges Dillies
+
+exportDiff <- function( complete, alpha, adjMethod, OUT_upName, OUT_downName, out = T ){
+	
+	diff <- complete[which(complete[,grep("adjp",colnames(complete))] < alpha),]
+
+	gup <- up( diff )	
+	gdown <- down( diff )
+	
+  if (out){
+    gup[,(ncol(gup)-4):ncol(gup)] <- format( gup[,(ncol(gup)-4):ncol(gup)], digits=3, dec=",")
+    gdown[,(ncol(gdown)-4):ncol(gdown)] <- format( gdown[,(ncol(gdown)-4):ncol(gdown)], digits=3, dec=",")
+		write.table(gup, file=OUT_upName, row.names=F, sep="\t")
+		write.table(gdown, file=OUT_downName, row.names=F, sep="\t")
+  }	
+  return( diff )
+}
+
+
+up <- function( diff ){
+		
+	up <- diff[diff$log2FC > 0,]
+	up <- up[order(up[,grep("adjp",colnames(up))]),]
+
+	return( up )	
+}
+
+
+down <- function( diff ){
+		
+	down <- diff[diff$log2FC < 0,]
+	down <- down[order(down[,grep("adjp",colnames(down))]),]
+
+	return( down )	
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/histoRawp.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,19 @@
+# Marie-Anges Dillies
+# histoRawp
+# histogram of raw p-values
+
+# input : res, OUT_histoRawpName
+# output : histogram (png)
+
+
+histoRawp <- function( res, OUT_histoRawpName, out = TRUE ){
+
+  if (out) png( file=OUT_histoRawpName )
+  
+  ind <- grep("val", colnames(res))
+  hist( res[,ind], nclass=50, xlab="Raw p-values", main="", col="skyblue" )
+
+  if (out) dev.off()
+}
+
+
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/loadCountData.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,36 @@
+# loadCountData
+# loads counts, one file per lane
+# file names from target file
+
+# input : target
+# output : raw count table
+
+# created Feb 6th, 2012
+# modified May 2nd, 2012 (colnames -> target$label)
+# Marie-Agnes Dillies
+
+
+loadCountData <- function(target, header){
+
+  require(DESeq)
+  fileNames <- target$files
+
+if(header!=0){
+	#rawCounts <- read.table(as.character(paste(rawDir,target$files[1],sep="/")), sep="\t", header=TRUE)
+	rawCounts <- read.table(as.character(target$files[1],sep="/"), sep="\t", header=TRUE)
+} else if(header==0){
+	rawCounts <- read.table(as.character(target$files[1],sep="/"), sep="\t")}
+  
+  colnames(rawCounts) <- c("Id", as.character(target$label[1]))
+
+  for (i in 2:length(fileNames)){
+	if(header!=0){
+  		tmp <- read.table(as.character(target$files[i],sep="/"), sep="\t", header=TRUE)
+	} else if(header==0){
+		tmp <- read.table(as.character(target$files[i],sep="/"), sep="\t")}
+  	colnames(tmp) <- c("Id", as.character(target$label[i]))
+  	rawCounts <- merge(rawCounts, tmp, by="Id", all=T)
+  }
+  rawCounts[is.na(rawCounts)] <- 0
+  return(rawCounts)
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/loadTargetFile.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,17 @@
+# loadTargetFile
+# loads file containing sample info
+
+# input : targetFile Name
+# output : target
+
+# created Feb 6th, 2012
+# Marie-Agnes Dillies
+
+
+loadTargetFile <- function(targetFile, header){
+if(header!=0){
+  return(read.table(targetFile, header=T, sep="\t"))
+	}else if(header==0){
+  return(read.table(targetFile, sep="\t"))
+	}	
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/majSequence.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,26 @@
+# majSequence
+# compute proportion of reads associated with most expressed sequence
+
+# input : counts, target, projectName
+# output : barplot, % associated with majority gene
+
+# created Feb 7th, 2012
+# modified Feb 20th, 2012
+# modified April 30th, 2012
+# Marie-Agnes Dillies
+
+
+majSequence <- function( counts, group, OUT_majSequenceName, out = T, position = "topright" ){
+
+  if (out) png( file=OUT_majSequenceName )
+
+  maj <- apply(counts, 2, function(x){x <- x[order(x, decreasing=T)]; x[1]*100/sum(x)})
+  seqname <- apply(counts, 2, function(x){x <- x[order(x, decreasing=T)]; names(x)[1]})
+
+  x <- barplot( maj, col=as.integer(group)+1, main = "Proportion of reads from most expressed gene", 
+		ylim = c(0, max(maj)*1.2), cex.main=0.8 )
+  for (i in 1:length(seqname)) text( x[i], maj[i]/2, seqname[i], cex=0.8, srt=90, adj=0)
+  legend( position, as.character(unique(group)), lty=1, col=as.integer(unique(group))+1 )
+
+  if (out) dev.off()
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/pairwiseSERE.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,41 @@
+# pairwiseSERE
+# compute pairwise SERE statistics
+
+# input : counts
+# output : matrix of SERE values
+
+# created october 19th, 2012
+# Marie-Agnes Dillies
+
+
+pairwiseSERE <- function( counts ){
+  
+  sere <- matrix( NA, ncol=ncol(counts), nrow=ncol(counts) )
+  for (i in 1:ncol(counts)){
+    for (j in 1:ncol(counts)){
+      sere[i,j] <- sigfun_Pearson( counts[,c(i,j)] )
+    }
+  }
+  colnames(sere) <- rownames(sere) <- colnames(counts)
+  return( formatC(sere, format="f", digits=2) )
+}
+
+sigfun_Pearson <- function(observed) {
+  #calculate lambda and expected values
+  laneTotals<- colSums(observed);
+  total <- sum(laneTotals)
+  fullObserved <- observed[rowSums(observed)>0,];
+  fullLambda <- rowSums(fullObserved)/total;
+  fullLhat <- fullLambda > 0;
+  fullExpected<- outer(fullLambda, laneTotals);
+
+  #keep values
+  fullKeep <- which(fullExpected > 0);
+  
+  #calculate degrees of freedom (nrow*(ncol -1) >> number of parameters - calculated (just lamda is calculated >> thats why minus 1)
+  #calculate pearson and deviance for all values
+  oeFull <- (fullObserved[fullKeep] - fullExpected[fullKeep])^2/ fullExpected[fullKeep] # pearson chisq test
+  dfFull <- length(fullKeep) - sum(fullLhat!=0);
+  
+  return(c(sqrt(sum(oeFull)/dfFull)));
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/pairwiseScatterPlots.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,31 @@
+# pairwiseScatterPlots
+# scatter plots for pairwise comparaisons of log counts
+
+# input : counts, target, outputName
+# output : scatter plots (pdf: allows multiple figures in one file)
+
+# created Feb 21th, 2012
+# modified Sept 27th, 2012 (pdf output file)
+# modified Oct 30th, 2012 (png)
+# Marie-Agnes Dillies
+
+
+pairwiseScatterPlots <- function( counts, target, OUT_scatterPlot, out = TRUE, pdffile = FALSE ){
+
+  if (out & !pdffile) png( OUT_scatterPlot )
+  if (pdffile) pdf( OUT_scatterPlot )
+  
+  conds <- unique(target$group)
+  # colnames(counts) <- target$label
+  
+  for (i in 1:(length(conds)-1)){
+  	for (j in (i+1):length(conds)){
+  		cond1 <- conds[i]; cond2 <- conds[j]
+		pairs( log2(counts[, which(target$group %in% c(as.character(cond1), as.character(cond2)))]+1), 
+				pch=".", cex=0.5, main = paste(cond1, cond2, sep=" vs ") )
+  	}
+  }
+
+  if (pdffile) dev.off()
+  if (out) dev.off()
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/plotDispEstimates.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,22 @@
+# Marie-Anges Dillies
+# plotDispEstimates
+# scatter plots representing dispersion estimates vs mean expression
+
+# input : cds, OUT_plotDispEstimatesName
+# output : scatterplot (png)
+
+plotDispEstimates <- function( cds, OUT_plotDispEstimatesName, out = TRUE ){
+
+  if (out) png( file=OUT_plotDispEstimatesName )
+  
+  plot(
+  	rowMeans( counts(cds, normalized=T) ),
+  	fitInfo(cds)$perGeneDispEsts,
+  	pch=".", log="xy",
+  	xlab = "Mean expression strength", ylab = "Dispersion estimate" )
+  	
+  xg <- 10^seq(-.5, 5, length.out=300)
+  lines( xg, fitInfo(cds)$dispFun(xg), col="red" )
+
+  if (out) dev.off()
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw/f1cond1.tsv	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,18761 @@
+GliNS1	G144
+13CDNA73	4
+15E1.2	75
+182-FIP	118
+2'-PDE	39
+3'HEXO	18
+3.8-1	0
+384D8-2	3
+76P	61
+7h3	4
+8D6A	1
+A1BG	1
+A2BP1	19
+A2M	2724
+A4GALT	0
+A4GNT	0
+AAA1	2
+AAAS	57
+AACS	1904
+AADACL1	3
+AADAT	18
+AAK1	2
+AAMP	215
+AANAT	0
+AARS	157
+AARSD1	27
+AARSL	21
+AASDH	15
+AASDHPPT	162
+AASS	159
+AATF	68
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+ABAT	493
+ABC1	7
+ABCA1	23
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+ADA	1889
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+ADMP	0
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+ADORA1	3
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+ALOX12B	0
+ALOX12P2	0
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+PCNT1	7
+PCNT2	23
+PCNX	98
+PCNXL2	48
+PCNXL3	36
+PCOLCE	309
+PCOLCE2	0
+PCOLN3	364
+PCOTH	2
+PCP2	6
+PCP4	7
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+PCQAP	76
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+PCSK1N	343
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+PCSK4	15
+PCSK5	72
+PCSK6	10
+PCSK7	18
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+PCTP	74
+PCYOX1	40
+PCYT1A	77
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+PD2	409
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+PDCD11	132
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+PDCD1LG2	7
+PDCD2	140
+PDCD4	361
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+PDCD6	214
+PDCD6IP	236
+PDCD7	39
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+PDE4A	9
+PDE4B	192
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+PDE5A	26
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+PDE6D	1872
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+PDE7B	70
+PDE8A	36
+PDE8B	16
+PDE9A	146
+PDGFA	1933
+PDGFB	9
+PDGFC	243
+PDGFD	23
+PDGFRA	1451
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+PDHB	104
+PDHX	144
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+PDIA3	317
+PDIA4	2542
+PDIA5	54
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+PGM1	227
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+PMVK	184
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+PNMA2	98
+PNMA3	0
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+PNOC	0
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+POLR2F	509
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+POLR3F	12
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+PPP4R1	100
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+PPP4R2	200
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+PRKAR1A	653
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+PRO2730	472
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+PROS1	575
+ProSAPiP1	125
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+PRUNE	56
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+PS1D	6
+PS1TP4	8
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+PSG3	1
+PSG5	3
+PSG6	13
+PSG7	0
+PSG9	19
+PSIP1	137
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw/f1cond2.tsv	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,18761 @@
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+CSS3	2
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+CST3	881
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+CST6	4
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+CSTB	744
+CSTF1	123
+CSTF2	0
+CSTF2T	216
+CSTF3	239
+CT120	9
+CTA-126B4.3	14
+CTA-216E10.6	0
+CTA-221G9.4	76
+CTAG1B	0
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+CTAGE3	8
+CTAGE4	7
+CTAGE5	21
+CTAGE6	0
+CTB-1048E9.5	52
+CTBP1	872
+CTBP2	95
+CTBS	81
+CTCF	432
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+CTMP	9
+CTNNA1	2079
+CTNNA2	157
+CTNNA3	0
+CTNNAL1	4624
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+CTNND1	43
+CTNND2	31
+CTNS	85
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+CTRB1	4
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+CUEDC2	963
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+CXCL16	10
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+CXorf21	0
+CXorf23	54
+CXorf24	4
+CXorf26	9
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+CYB561	32
+CYB561D1	41
+CYB561D2	171
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+CYCS	7211
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+DF	3
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+DGAT1	8
+DGAT2	13
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+DGCR5	6
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+DGCR8	22
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+dJ222E13.1	5
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+DJ971N18.2	287
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+DKFZp313A2432	1650
+DKFZp313G1735	462
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+DKFZP434A0131	275
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+DKFZp434E2321	8
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+DKFZP434I0714	24
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+DKFZp434J1015	60
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+DKFZp434M202	0
+DKFZp434N035	0
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+DKFZP779L1558	95
+DKFZp779O175	2
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+DKFZp781N1041	0
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+DNAJA1	1298
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+DNCH2	2
+DNCI1	5
+DNCI2	194
+DNCL1	83
+DNCL2A	61
+DNCLI1	16
+DNCLI2	145
+DND1	9
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+DNM1DN11-6	0
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+DNM1L	86
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+DNTTIP1	210
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+DOC-1R	0
+DOC1	351
+DOC2A	7
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+DOCK1	798
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+DOM3Z	11
+DONSON	662
+DOPEY1	31
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+DPAGT1	146
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+DPP10	0
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+DPP6	624
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+GGTLA1	0
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+HES5	6
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+NICAL	1
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+NID1	3285
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+NIPSNAP1	134
+NIPSNAP3A	70
+NIPSNAP3B	2
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+NIT1	1569
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+NKD2	3
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+NKPD1	0
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+NKX2-2	11
+NKX2-3	0
+NKX2-5	0
+NKX2-8	0
+NKX3-1	20
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+NME5	19
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+NMNAT2	23
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+NMT1	361
+NMT2	95
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+NNMT	171
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+NOC4	68
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+NOD3	20
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+NOTCH1	509
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+NOTCH2NL	2047
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+NR4A2	33
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+NRBP	0
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+NRG1	27
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+NRXN1	0
+NRXN2	0
+NRXN3	133
+NS3TP1	2
+NS3TP2	9
+NS4ATP2	285
+NS5ATP13TP2	3
+NSBP1	117
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+NSE1	34
+NSE2	135
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+NSFL1C	66
+NSMAF	80
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+NSUN2	454
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+NSUN5	1
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+NT5DC2	339
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+NTNG1	19
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+NTRK1	3
+NTRK2	237
+NTRK3	0
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+NUBPL	332
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+NUDT13	0
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+NY-REN-41	85
+NY-REN-58	1
+NY-REN-7	1
+NY-SAR-41	213
+NY-SAR-48	66
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+NYREN18	109
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+ODZ2	47
+ODZ3	2
+ODZ4	29
+OFD1	54
+OGDH	154
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+OGFR	27
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+OGN	2
+OGT	411
+OIP106	149
+OIP5	84
+OKL38	0
+OLFM1	0
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+OPA1	565
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+ORM1	0
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+OS-9	42
+OS9	4578
+OSAP	0
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+OTEX	0
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+OTP	0
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+OVOS2	18
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+OXSM	0
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+P15RS	1000
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+P2RX7	6
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+P2RY1	0
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+P2RY6	4
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+P4HA1	40
+P4HA2	204
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+P4HB	449
+P518	12
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+p66alpha	90
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+PA2G4	2675
+PABPC1	966
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+PACRG	1
+PACS1	9
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+PACSIN1	0
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+PACSIN3	0
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+PAFAH1B2	242
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+PAGE2	0
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+PAICS	2328
+PAIP1	488
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+PAK1	570
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+PALLD	976
+PALM	1
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+PAN3	86
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+PAQR8	49
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+PARP14	12
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+PARP3	292
+PARP4	172
+PARP6	18
+PARP8	51
+PARP9	47
+PARS2	9
+PART1	6
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+PARVB	28
+PARVG	2
+PASK	13
+PAWR	500
+PAX2	0
+PAX3	25
+PAX5	0
+PAX6	259
+PAX8	75
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+PBX1	65
+PBX2	24
+PBX3	372
+PBX4	5
+PBXIP1	7
+PC	6
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+PCBD	4
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+PCBP2	15709
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+PCDH10	0
+PCDH11X	0
+PCDH11Y	0
+PCDH12	0
+PCDH17	326
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+PCDH20	208
+PCDH21	57
+PCDH7	11
+PCDH8	2
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+PCDHB10	8
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+PCDHB13	0
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+PCGF1	200
+PCGF2	5
+PCGF3	190
+PCGF4	245
+PCGF5	536
+PCGF6	61
+PCIA1	0
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+PCLO	7
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+PCMT1	743
+PCMTD1	4979
+PCMTD2	420
+PCNA	44
+PCNP	3020
+PCNT	71
+PCNT1	1
+PCNT2	44
+PCNX	105
+PCNXL2	123
+PCNXL3	26
+PCOLCE	399
+PCOLCE2	73
+PCOLN3	106
+PCOTH	0
+PCP2	15
+PCP4	0
+PCP4L1	0
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+PCSK1N	231
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+PCSK7	12
+PCSK9	0
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+PCTK3	12
+PCTP	67
+PCYOX1	69
+PCYT1A	94
+PCYT1B	15
+PCYT2	25
+PD2	389
+PDAP1	1120
+PDC	13
+PDCD10	44
+PDCD11	56
+PDCD1LG1	15
+PDCD1LG2	300
+PDCD2	172
+PDCD4	190
+PDCD5	77
+PDCD6	293
+PDCD6IP	882
+PDCD7	83
+PDCD8	33
+PDCL	40
+PDCL3	127
+PDDC1	20
+PDE10A	2
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+PDE1C	15
+PDE2A	85
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+PDE3B	11
+PDE4A	0
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+PDE4C	0
+PDE4D	86
+PDE4DIP	361
+PDE5A	34
+PDE6A	1
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+PDE6D	4870
+PDE6G	0
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+PDE7B	27
+PDE8A	47
+PDE8B	51
+PDE9A	20
+PDGFA	75
+PDGFB	8
+PDGFC	718
+PDGFD	855
+PDGFRA	335
+PDGFRB	8
+PDGFRL	0
+PDHA1	1167
+PDHB	280
+PDHX	436
+PDIA2	0
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+PDIA4	7902
+PDIA5	90
+PDIA6	828
+PDIK1L	76
+PDIP	0
+PDIR	2
+PDK1	197
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+PDK4	0
+PDLIM1	13
+PDLIM2	88
+PDLIM3	421
+PDLIM4	0
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+PDLIM7	1349
+PDP2	15
+PDPK1	87
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+PDSS1	34
+PDSS2	208
+PDXK	9630
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+PDZD11	566
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+PDZD6	9
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+PDZK11	10
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+PDZK6	0
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+PDZRN3	3
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+PEA15	1321
+PEBP1	3860
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+PECR	43
+PEF1	53
+PEG10	5055
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+PELI1	115
+PELI2	19
+PELI3	14
+PELO	876
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+PEMT	16
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+PEO1	26
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+PERLD1	4
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+PERQ1	0
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+PEX1	146
+PEX10	66
+PEX11A	37
+PEX11B	7
+PEX11G	2
+PEX12	105
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+PEX26	169
+PEX3	150
+PEX5	628
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+PEX6	90
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+PFDN4	769
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+PFKFB1	1
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+Pfs2	79
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+PGBD1	55
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+PGBD3	3
+PGBD4	0
+PGBD5	21
+PGCP	70
+PGD	381
+PGEA1	189
+PGF	2
+PGGT1B	8
+PGK1	26114
+PGLS	101
+PGLYRP2	52
+PGM1	1158
+PGM2	54
+PGM2L1	196
+PGM3	353
+PGM5	0
+PGM5P1	0
+PGPEP1	1
+PGR1	4165
+PGRMC1	149
+PGRMC2	620
+PGS1	19
+PH-4	201
+PHACS	2
+PHACTR1	5
+PHACTR2	0
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+PHACTR4	184
+PHB	1657
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+PHC1	80
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+PHF23	65
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+PHF7	276
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+PHGDHL1	76
+PHIP	167
+PHKA1	75
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+PHKG2	415
+PHLDA1	4009
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+PHLDB1	4
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw/f2cond1.tsv	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,18761 @@
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+DALRD3	106
+DAMS	0
+DAND5	0
+DAP	994
+DAP13	16
+DAP3	115
+DAPK1	16
+DAPK2	9
+DAPK3	0
+DAPP1	0
+DARC	0
+DARS	383
+DARS2	1
+DATF1	7
+DAXX	120
+DAZ4	16
+DAZAP1	11
+DAZAP2	342
+DAZL	0
+DBC1	0
+DBCCR1L	51
+DBF4	56
+DBF4B	0
+DBH	0
+DBI	1669
+DBN1	711
+DBNL	154
+DBP	1
+DBR1	89
+DBT	49
+DC-UbP	122
+DC12	2
+DC13	9
+DC2	553
+DC36	0
+DCAKD	32
+DCAMKL1	222
+DCAMKL2	27
+DCAMKL3	0
+DCBLD1	19
+DCBLD2	373
+DCC	5
+DCC1	31
+DCDC1	0
+DCDC2	0
+DCHS1	13
+DCHS2	1
+DCI	144
+DCK	73
+DCL-1	78
+DCLRE1A	7
+DCLRE1B	30
+DCLRE1C	41
+DCN	365
+DCOHM	796
+DCP1A	46
+DCP1B	11
+DCP2	29
+DCPS	38
+DCT	35
+DCTD	201
+DCTN1	20
+DCTN2	2618
+DCTN3	17
+DCTN4	101
+DCTN5	41
+DCTN6	277
+DCUN1D1	56
+DCUN1D2	9
+DCUN1D3	14
+DCUN1D4	300
+DCUN1D5	83
+DCX	90
+DCXR	180
+DDA1	135
+DDA3	13
+DDAH1	507
+DDAH2	8
+DDB1	28
+DDB2	9
+DDC	0
+DDEF1	73
+DDEF2	114
+DDEFL1	3
+DDHD1	25
+DDHD2	70
+DDI2	0
+DDIT3	894
+DDIT4	791
+DDIT4L	1
+DDN	2
+DDO	6
+DDOST	639
+DDR1	433
+DDR2	67
+DDT	694
+DDX1	255
+DDX10	19
+DDX11	25
+DDX12	24
+DDX17	459
+DDX18	561
+DDX19	4
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+DDX19B	136
+DDX19L	0
+DDX20	25
+DDX21	142
+DDX23	582
+DDX24	112
+DDX25	9
+DDX26	83
+DDX26B	11
+DDX27	60
+DDX28	3
+DDX31	190
+DDX39	36
+DDX3X	355
+DDX3Y	25
+DDX4	0
+DDX41	69
+DDX42	55
+DDX46	226
+DDX47	84
+DDX48	1553
+DDX49	244
+DDX5	2375
+DDX50	67
+DDX51	5
+DDX52	64
+DDX53	0
+DDX54	47
+DDX55	51
+DDX56	59
+DDX58	12
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+DDX6	58
+DEADC1	30
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+DEC1	1
+DECR1	324
+DECR2	29
+DEDD	139
+DEDD2	8
+DEF6	2
+DEFB108	0
+DEFB109	0
+DEFB119	0
+DEGS1	254
+DEGS2	0
+DEK	196
+DELGEF	8
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+DENND2A	926
+DENND2C	2
+DENND2D	1
+DENND3	2
+DENND4A	28
+DENND4C	5
+DENR	368
+DEPC-1	28
+DEPDC1	107
+DEPDC1B	9
+DEPDC2	90
+DEPDC4	7
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+DEPDC6	6
+DERA	50
+DERL1	113
+DERL2	193
+DERL3	4
+DERP6	25
+DERPC	133
+DES	0
+DET1	8
+DEXI	19
+DF	3
+DFFA	212
+DFFB	33
+DFNA5	94
+DFNB31	0
+DGAT1	6
+DGAT2	25
+DGCR14	0
+DGCR2	86
+DGCR5	0
+DGCR6	22
+DGCR6L	21
+DGCR8	11
+DGCR9	1
+DGKA	7
+DGKB	7
+DGKD	15
+DGKE	3
+DGKG	77
+DGKH	33
+DGKI	18
+DGKQ	3
+DGKZ	55
+DGUOK	411
+DHCR24	54
+DHCR7	84
+DHDDS	14
+DHDH	2
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+DHFRL1	15
+DHH	24
+DHODH	83
+DHPS	149
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+DHRS4L2	39
+DHRS6	5
+DHRS7	335
+DHRS7B	3
+DHRS8	167
+DHRS9	0
+DHRSX	66
+DHTKD1	151
+DHX15	341
+DHX16	9
+DHX29	109
+DHX30	50
+DHX32	26
+DHX33	142
+DHX34	8
+DHX35	79
+DHX36	38
+DHX37	29
+DHX38	4
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+DHX57	11
+DHX8	57
+DHX9	89
+DIA1	13
+DIABLO	54
+DIAPH1	155
+DIAPH2	30
+DIAPH3	7
+DICER1	23
+DIDO1	80
+DIO2	1
+DIO3	0
+DIO3OS	0
+DIP	0
+DIP13B	58
+DIP2A	16
+DIP2B	2
+DIP2C	568
+DIPA	411
+DIRAS1	10
+DIRAS2	4
+DIRAS3	24
+DIRC1	0
+DIRC2	37
+DIRC3	0
+DISC1	158
+DISP1	40
+DISP2	5
+DIXDC1	16
+DJ122O8.2	48
+DJ159A19.3	0
+DJ167A19.1	5
+dJ222E13.1	1
+dJ222E13.2	2
+DJ328E19.C1.1	1
+dJ341D10.1	0
+dJ383J4.3	0
+DJ462O23.2	29
+DJ971N18.2	150
+DKC1	27
+DKFZp313A2432	77
+DKFZp313G1735	79
+DKFZp313N0621	9
+DKFZP434A0131	190
+DKFZP434A062	0
+DKFZp434A128	22
+DKFZP434B0335	32
+DKFZP434B044	1
+DKFZP434B061	0
+DKFZP434B168	22
+DKFZP434B172	78
+DKFZp434C0328	0
+DKFZP434C171	2
+DKFZP434C212	52
+DKFZP434C245	0
+DKFZp434E1119	0
+DKFZp434E2321	0
+DKFZP434F0318	11
+DKFZp434G0625	0
+DKFZP434G1415	1
+DKFZP434G156	0
+DKFZP434H0115	0
+DKFZP434H132	0
+DKFZp434H1419	45
+DKFZP434H2010	0
+DKFZp434H2226	6
+DKFZP434I0714	11
+DKFZP434I092	0
+DKFZp434I099	0
+DKFZp434I1020	0
+DKFZP434I116	8
+DKFZp434I1610	18
+DKFZP434I2117	0
+DKFZp434J0226	0
+DKFZp434J1015	109
+DKFZP434K046	7
+DKFZp434K1323	5
+DKFZP434K1421	30
+DKFZp434K1815	81
+DKFZp434K191	6
+DKFZp434K2435	3
+DKFZP434L0117	3
+DKFZp434L142	1
+DKFZP434L187	0
+DKFZp434M202	0
+DKFZp434N035	1
+DKFZp434N062	40
+DKFZp434N2030	28
+DKFZp434O0213	0
+DKFZp434O0527	0
+DKFZp434P055	0
+DKFZP434P1750	2
+DKFZP434P211	0
+DKFZp451A211	0
+DKFZp451B082	8
+DKFZp451J0118	4
+DKFZp451J1719	5
+DKFZp451M2119	3
+DKFZp547A023	33
+DKFZp547B1713	0
+DKFZp547C195	21
+DKFZp547D2210	1
+DKFZp547E052	2
+DKFZP547E1010	9
+DKFZp547G183	3
+DKFZp547H025	81
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+DKFZp547I048	1
+DKFZp547I224	28
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+DKFZp547K1113	11
+DKFZP547N043	9
+DKFZP564A022	36
+DKFZP564B1023	6
+DKFZP564B147	200
+DKFZP564B167	13
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+DKFZP564C186	5
+DKFZP564C196	1
+DKFZP564D0478	5
+DKFZP564D166	167
+DKFZP564D172	35
+DKFZP564F0522	11
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+DKFZp564H213	0
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+DKFZP564I1171	5
+DKFZP564I122	1
+DKFZp564I1922	3
+DKFZP564J0123	4
+DKFZP564J047	0
+DKFZP564J0863	74
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+DKFZp564J157	146
+DKFZP564K0822	58
+DKFZp564K142	30
+DKFZP564K1964	0
+DKFZP564K2062	0
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+DKFZP564O0463	28
+DKFZP564O0523	84
+DKFZP564O0823	24
+DKFZP564O123	26
+DKFZP564O1664	2
+DKFZP564O243	1
+DKFZp566C0424	34
+DKFZP566D1346	53
+DKFZP566E144	7
+DKFZp566F0947	11
+DKFZP566M1046	0
+DKFZP566M114	18
+DKFZP566N034	3
+DKFZp566O084	3
+DKFZP586A0522	0
+DKFZP586B1621	27
+DKFZP586D0919	187
+DKFZP586H2123	1
+DKFZp586I1420	3
+DKFZP586J0619	1
+DKFZP586K1520	0
+DKFZP586L0724	1
+DKFZP586M1120	1
+DKFZp586M1819	17
+DKFZP586P0123	24
+DKFZp666G057	4
+DKFZp667B0210	50
+DKFZp667F0711	0
+DKFZp667G2110	37
+DKFZp667M2411	85
+DKFZP686A01247	56
+DKFZP686A10121	8
+DKFZp686A1627	0
+DKFZp686D0853	0
+DKFZp686E2433	15
+DKFZp686I15217	4
+DKFZp686I1569	12
+DKFZp686K16132	75
+DKFZp686L14188	5
+DKFZp686L1814	1201
+DKFZp686L1818	2
+DKFZp686O24166	0
+DKFZp686P0288	7
+DKFZp727G131	4
+DKFZp761A052	2
+DKFZp761A078	1
+DKFZp761A132	0
+DKFZp761B107	6
+DKFZp761B1514	49
+DKFZp761C169	48
+DKFZp761D112	209
+DKFZp761D1918	5
+DKFZp761D221	0
+DKFZp761E198	2
+DKFZp761H039	0
+DKFZP761H1710	2
+DKFZp761I2123	119
+DKFZp761L1417	0
+DKFZp761L1518	0
+DKFZP761M1511	28
+DKFZP761N09121	2
+DKFZp761N1114	3
+DKFZp761O0113	13
+DKFZp761O2018	48
+DKFZp761P0423	25
+DKFZp761P1121	71
+DKFZp761P211	0
+DKFZp762A217	16
+DKFZp762C1112	13
+DKFZp762C2414	17
+DKFZp762E1312	64
+DKFZp762F0713	19
+DKFZp762H185	36
+DKFZp762I137	21
+DKFZp762K222	22
+DKFZp762N1910	115
+DKFZp762O076	94
+DKFZP779L1558	26
+DKFZp779O175	11
+DKFZP781I1119	9
+DKFZp781N1041	0
+DKK1	4
+DKK2	0
+DKK3	602
+DKKL1	0
+DLAT	76
+DLC1	129
+Dlc2	31
+DLD	177
+DLEC1	3
+DLEU1	11
+DLEU2	37
+DLEU7	2
+DLG1	144
+DLG2	5
+DLG3	14
+DLG4	7
+DLG5	20
+DLG7	12
+DLGAP1	1
+DLGAP2	0
+DLGAP3	0
+DLGAP4	427
+DLK1	4
+DLL1	52
+DLL3	1
+DLL4	0
+DLNB14	55
+DLST	6
+DLSTP	5
+DLX1	7
+DLX2	0
+DLX3	0
+DLX4	0
+DLX5	0
+DLX6	0
+DMAP1	27
+DMBT1	0
+DMC1	1
+DMD	258
+DMGDH	1
+DMN	0
+DMP1	0
+DMPK	57
+DMRT1	0
+DMRT2	0
+DMRTA1	3
+DMRTA2	3
+DMRTC1	3
+DMTF1	44
+DMWD	33
+DMXL1	31
+DMXL2	49
+DNA2L	33
+DNAH1	1
+DNAH10	2
+DNAH11	2
+DNAH17	1
+DNAH3	3
+DNAH5	1
+DNAH7	0
+DNAH9	10
+DNAI1	0
+DNAI2	0
+DNAJA1	475
+DNAJA2	228
+DNAJA3	122
+DNAJA4	0
+DNAJA5	11
+DNAJB1	652
+DNAJB11	991
+DNAJB12	128
+DNAJB14	9
+DNAJB2	40
+DNAJB4	25
+DNAJB5	18
+DNAJB6	624
+DNAJB8	258
+DNAJB9	132
+DNAJC1	117
+DNAJC10	176
+DNAJC11	31
+DNAJC12	11
+DNAJC13	50
+DNAJC14	146
+DNAJC15	37
+DNAJC16	1
+DNAJC17	6
+DNAJC18	8
+DNAJC19	37
+DNAJC3	163
+DNAJC4	77
+DNAJC5	68
+DNAJC6	64
+DNAJC7	55
+DNAJC8	99
+DNAJC9	10
+DNAJD1	120
+DNAL4	7
+DNALI1	18
+DNAPTP6	139
+DNASE1	2
+DNASE1L1	0
+DNASE1L2	2
+DNASE2	155
+DNASE2B	308
+DNB5	11
+DNCH1	12
+DNCH2	2
+DNCI1	2
+DNCI2	186
+DNCL1	36
+DNCL2A	22
+DNCLI1	11
+DNCLI2	91
+DND1	7
+DNER	250
+DNHD1	0
+DNM1	35
+DNM1DN11-6	3
+DNM1DN4-1	0
+DNM1DN4-2	0
+DNM1L	37
+DNM2	164
+DNM3	94
+DNMBP	12
+DNMT1	147
+DNMT2	17
+DNMT3A	26
+DNMT3B	0
+DNMT3L	0
+DNPEP	104
+DNTTIP1	25
+DNTTIP2	34
+DOC-1R	1
+DOC1	35
+DOC2A	2
+DOC2B	0
+DOCK1	808
+DOCK10	367
+DOCK11	16
+DOCK2	0
+DOCK3	3
+DOCK4	19
+DOCK5	0
+DOCK6	47
+DOCK7	37
+DOCK8	2
+DOCK9	21
+DOK1	13
+DOK2	0
+DOK3	8
+DOK4	55
+DOK5	36
+DOK6	0
+DOLPP1	13
+DOM3Z	24
+DONSON	202
+DOPEY1	8
+DOPEY2	38
+DOT1L	61
+DP58	0
+DPAGT1	17
+DPCD	4
+DPCR1	0
+DPEP2	0
+DPEP3	2037
+DPF1	69
+DPF2	63
+DPF3	59
+DPH1	77
+DPH2	4
+DPH2L1	14
+DPH2L2	3
+DPH5	10
+DPM1	362
+DPM2	1
+DPM3	48
+DPP10	0
+DPP3	32
+DPP4	1
+DPP6	2358
+DPP7	1978
+DPP8	1361
+DPP9	419
+DPPA4	0
+DPT	0
+DPY19L1	68
+DPY19L1P1	2
+DPY19L2P1	11
+DPY19L3	1900
+DPY19L4	136
+DPYD	28
+DPYS	0
+DPYSL2	1147
+DPYSL3	213
+DPYSL4	31
+DPYSL5	159
+DQX1	3
+DR1	162
+DRAP1	188
+DRB1	43
+DRCTNNB1A	741
+DRD1IP	0
+DRD2	0
+DRD4	0
+DRE1	106
+DREV1	990
+DRF1	8
+DRG1	18
+DRG2	39
+DRIM	38
+DRP2	3
+DRPLA	22
+DSC2	0
+DSC3	0
+DSCAM	3
+DSCAML1	18
+DSCR1	619
+DSCR1L1	2
+DSCR1L2	8
+DSCR2	112
+DSCR3	155
+DSCR5	0
+DSCR6	7
+DSCR8	0
+DSCR9	0
+DSG2	20
+DSG3	0
+DSIPI	0
+DSP	1
+DST	216
+DSTN	465
+DSU	247
+DT1P1A10	5
+DTL	12
+DTNA	91
+DTNB	37
+DTNBP1	18
+DTWD1	22
+DTWD2	0
+DTX1	2
+DTX2	21
+DTX3	232
+DTX3L	31
+DTYMK	245
+DULLARD	3467
+DUOX1	3
+DUS1L	5
+DUS2L	5
+DUS3L	7
+DUS4L	6
+DUSP1	7
+DUSP10	0
+DUSP11	32
+DUSP12	215
+DUSP14	42
+DUSP15	2
+DUSP16	188
+DUSP18	54
+DUSP19	46
+DUSP2	0
+DUSP22	22
+DUSP23	0
+DUSP24	3
+DUSP26	64
+DUSP3	250
+DUSP4	292
+DUSP5	202
+DUSP6	625
+DUSP7	51
+DUSP8	0
+DUSP9	4
+DUT	147
+DVL1	67
+DVL2	96
+DVL3	148
+DXS9879E	1
+DXYS155E	39
+DYDC1	0
+DYM	103
+DYNC1H1	0
+DYNC1I1	28
+DYNC1I2	326
+DYNC1LI1	95
+DYNC1LI2	253
+DYNC2H1	1
+DYNC2LI1	26
+DYNLL1	398
+DYNLL2	10
+DYNLRB1	109
+DYNLRB2	0
+DYNLT1	205
+DYNLT3	9
+DYRK1A	55
+DYRK1B	0
+DYRK2	386
+DYRK3	14
+DYRK4	45
+DYSF	11
+DYX1C1	17
+DZIP1	160
+DZIP1L	17
+DZIP3	18
+e(y)2	28
+E2-230K	1
+E2F1	51
+E2F2	5
+E2F3	50
+E2F4	70
+E2F5	224
+E2F6	76
+E2F7	14
+E2F8	20
+E2IG2	1
+E2IG5	2
+E4F1	22
+EAF1	28
+EAF2	0
+EAP30	11
+EB-1	26
+EBAG9	77
+EBF	98
+EBF2	12
+EBI3	0
+EBNA1BP2	82
+EBP	187
+EBPL	156
+EBSP	0
+ECAT1	0
+ECD	58
+ECE1	13
+ECE2	19
+ECEL1	0
+ECGF1	0
+ECH1	62
+ECHDC1	185
+ECHDC2	46
+ECHDC3	0
+ECHS1	19
+ECM1	1
+ECM2	3
+ECOP	12
+ECRG4	22
+ECT2	74
+EDA	86
+EDA2R	6
+EDARADD	3
+EDD	28
+EDD1	5
+EDEM1	60
+EDF1	162
+EDG1	0
+EDG2	62
+EDG4	47
+EDG6	0
+EDG7	1
+EDG8	8
+EDIL3	20
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+EDN2	0
+EDN3	0
+EDNRA	0
+EDNRB	510
+EEA1	45
+EED	26
+EEF1A1	10225
+EEF1A2	31
+EEF1B2	10990
+EEF1D	336
+EEF1E1	44
+EEF1G	2414
+EEF2	2505
+EEF2K	201
+EEFSEC	52
+EEIG1	0
+EFCAB1	2
+EFCAB2	59
+EFCBP1	82
+EFCBP2	0
+EFEMP1	2
+EFEMP2	1
+EFHA1	352
+EFHA2	13
+EFHB	0
+EFHC1	25
+EFHC2	1901
+EFHD1	18
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+EFNA1	16
+EFNA3	8
+EFNA4	21
+EFNA5	0
+EFNB1	31
+EFNB2	51
+EFNB3	26
+EFS	63
+EFTUD1	8
+EFTUD2	470
+EGF	0
+EGFL11	3
+EGFL3	0
+EGFL4	26
+EGFL5	270
+EGFL7	0
+EGFL9	3
+EGFR	98
+EGLN1	166
+EGLN2	117
+EGLN3	0
+EGR1	184
+EGR2	127
+EGR3	3
+EGR4	0
+EHBP1	36
+EHBP1L1	0
+EHD1	10
+EHD2	51
+EHD3	80
+EHD4	254
+EHF	0
+EHHADH	8
+EHMT1	70
+EHMT2	11
+EI24	191
+EID-3	6
+EIF1	538
+EIF1AP1	60
+EIF1AX	297
+EIF1AY	134
+EIF1B	215
+eIF2A	1159
+EIF2AK1	437
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+GALGT	482
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+GALM	3
+GALNAC4S-6ST	0
+GALNACT-2	311
+GALNS	14
+GALNT1	147
+GALNT10	134
+GALNT11	147
+GALNT12	2
+GALNT13	17
+GALNT14	0
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+GALNT2	150
+GALNT3	3
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+GALNT6	1
+GALNT7	260
+GALNT8	0
+GALNT9	1
+GALNTL1	378
+GALNTL2	50
+GALNTL4	65
+GALP	0
+GALR1	55
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+GALT	6
+GAMT	39
+GAN	5
+GANAB	223
+GAP43	410
+GAPD	3338
+GAPDH	11349
+GAPDS	30
+GAPVD1	30
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+GARNL3	14
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+GATA3	8
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+GATAD1	236
+GATAD2A	89
+GATAD2B	0
+GATM	410
+GATS	39
+GBA	132
+GBA2	332
+GBAP	0
+GBAS	158
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+GBF1	147
+GBGT1	0
+GBL	80
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+GCDH	129
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+GCG	0
+GCH1	11
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+GCKR	0
+GCL	5
+GCLC	60
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+GCN5L2	22
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+GCNT2	16
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+Gcom1	20
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+GDF15	678
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+GDF8	0
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+GEFT	198
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+GGA1	42
+GGA2	57
+GGA3	9
+GGCX	60
+GGH	439
+GGN	10
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+GGT1	0
+GGTA1	0
+GGTL3	37
+GGTLA1	0
+GHITM	495
+GHR	0
+GHRHR	1
+GHRL	0
+GIMAP1	0
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+GIMAP5	0
+GIMAP8	0
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+GNG8	5
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+GNRH1	8
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+GPM6A	395
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+GPR133	24
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+GPR146	1
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+GPR173	0
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+GPR62	0
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+GPR74	0
+GPR81	0
+GPR83	0
+GPR85	28
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+GRAMD1C	2
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+GRIA3	10
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+GSDM1	4
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+GSPT1	731
+GSPT2	170
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+GTF3C3	54
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+GUCA1A	0
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+GUCY2D	0
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+GYPE	0
+GYS1	45
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+H2AFJ	5
+H2AFV	656
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+HCK	0
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+HCMOGT-1	9
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+HDGF	4
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+HDHD2	26
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+HEXIM1	180
+HEXIM2	4
+HEY1	25
+HEY2	124
+HEYL	0
+HFE	115
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+HGF	6
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+HGNT-IV-H	0
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+HIST1H2AA	0
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+HIST1H2BC	2
+HIST1H2BD	40
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+HIST1H2BH	7
+HIST1H2BJ	6
+HIST1H2BK	83
+HIST1H2BM	0
+HIST1H2BN	0
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+HIST1H3E	0
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+HIST1H3H	5
+HIST1H3J	2
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+HIST1H4C	5
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+HIST2H4	33
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+HLA-DPA1	576
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+HLA-DRA	2739
+HLA-DRB1	2391
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+HLA-F	3
+HLA-G	907
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+HLCS	29
+HLF	0
+HLRC1	1
+HLX1	4
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+HM13	185
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+HMG2L1	83
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+HMGA1	379
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+HMGA2	9
+HMGB1	3346
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+HMGCLL1	0
+HMGCR	100
+HMGCS1	2280
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+HMGN1	1320
+HMGN2	1665
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+HMGN4	161
+HMHA1	0
+HMMR	47
+HMOX1	35
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+HMX2	1
+HN1	1017
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+HNRPA0	555
+HNRPA1	2801
+HNRPA2B1	4010
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+HNRPC	911
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+HNRPH3	185
+HNRPK	2601
+HNRPL	804
+HNRPLL	268
+HNRPM	283
+HNRPR	1350
+HNRPU	831
+HNRPUL1	1422
+HNRPUL2	0
+HNT	41
+HOM-TES-103	13
+HOMER1	343
+HOMER2	84
+HOMER3	4
+HOOK1	0
+HOOK2	39
+HOOK3	46
+HOP	378
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+HPS5	53
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+HPSE	10
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+HR	3
+HRAS	70
+HRASLS	4
+HRASLS2	2
+HRASLS3	99
+HRASLS5	0
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+PGGT1B	11
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw/f2cond2.tsv	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,18761 @@
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+DJ971N18.2	776
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+DKFZp313A2432	105
+DKFZp313G1735	111
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+DKFZP434A0131	388
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+DKFZp434A128	67
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+DKFZP434B044	8
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+DKFZP434C212	141
+DKFZP434C245	0
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+RC3H1	10
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+RCBTB1	488
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+RCC1	89
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+REEP1	0
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+REG-III	0
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+REL	11
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+RELB	3
+RELN	0
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+REN	3
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+REPS2	12
+RER1	636
+RERE	225
+RERG	9
+REST	179
+RET	1
+RetSat	156
+REV1L	124
+REV3L	76
+REXO1	4
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+RFC1	273
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+RFXANK	29
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+RFXDC2	734
+RG9MTD1	33
+RG9MTD2	73
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+RGAG1	0
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+RGL1	252
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+RGMA	26
+RGMB	217
+RGN	0
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+RHBDL1	1
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+RHOBTB3	98
+RHOC	1958
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+RHOQ	70
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+RHOU	0
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+RIN1	3
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+RING1	948
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+RKHD1	1156
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+RLBP1	0
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+RNASE1	0
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+RNASE4	0
+RNASEH1	463
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+RNP24	1047
+RNPC1	913
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+RNPEPL1	47
+RNPS1	820
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+RNUXA	115
+ROBO1	370
+ROBO2	0
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+ROD1	56
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+ROPN1	0
+ROPN1L	0
+ROR1	3
+ROR2	0
+RORA	0
+RORB	7
+ROS1	0
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/raw2counts.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,20 @@
+# raw2counts
+# extract counts only from rawCounts
+# and add rownames to counts
+
+# input : rawCounts
+# output : counts
+
+# created Feb 6th, 2012
+# modified April 12, 2012
+# Marie-Agnes Dillies
+
+
+raw2counts <- function( rawCounts, annot=1 ){
+
+  ex <- 1:annot
+  counts <- as.matrix( rawCounts[,-ex] )
+  rownames(counts) <- rawCounts[,1]
+  infoCounts <- rawCounts[,ex]
+  return( list("counts"=counts, "infoCounts"= infoCounts) )
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/DESeqTools/removeNul.R	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,14 @@
+# removeNul
+# remove genes with null counts in all samples
+
+# input : counts
+# output : counts
+
+# created Feb 7th, 2012
+# Marie-Agnes Dillies
+
+
+removeNul <- function( counts, info = NULL ){
+
+  return( list(counts[rowSums(counts) > 0,], info[rowSums(counts) > 0,]) )
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/README.txt	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,82 @@
+----------
+|  NAME  |
+----------
+Differential Expression Analysis Pipeline on RNA-Seq data
+
+
+Description
+-----------
+This pipeline has been founded by IBISA-APLIBIO(http://www.renabi.fr/platforms/aplibio/), 
+and has been built by (1)Yufei Luo, (2)Marie-Agnès Dillies, (1)Matthias Zytnicki and (1)Delphine Steinbach. 
+(1): Bioinformatics plateform URGI, INRA URGI Versailles, France
+(2): Plate-forme Transcriptome et Epigenome, Génopole, Institut Pasteur, France
+
+
+This pipeline performs differential expression analysis on two different conditions with arbitrary number of replicates.
+
+One reference genome (fasta format), one annotation (gtf format) and several RNA-seq samples are required.
+Step 0: Upload RNA-seq samples.
+Step 1: Clean the annotation file.
+Step 2: Clean the RNA-seq files.
+Step 3: Map the RNA-seq samples to the genome reference, using Tophat.
+Step 4: Convert the bam files (given by Tophat) to sam files.
+Step 5: Count the reads per annotation using S-MART (CompareOverlapping).
+Step 6: Build the input files for DESeq.
+Step 7: Differential expression analysis using DESeq, and output graphical results.
+
+More information about using this pipeline, please see: http://urgi.versailles.inra.fr/galaxy/u/yluo/p/differential-expression-pipeline-documentation
+
+
+Instructions
+------------
+Environment Installation:
+0). First, download and install S-MART (eg from Galaxy Tool Shed: http://toolshed.g2.bx.psu.edu/repos/yufei-luo/s_mart).
+1). Download and put the pipeline scripts directory under the S-MART directory
+    (ex. mv DiffExpAnal /home/user/galaxy-dist/tools/s_mart/SMART/.).
+
+Supplementary Softwares:
+ * R, under the GNU General Public License (at least 2.14.1 version).
+ * Python, under the Python License, compatible with the GNU General Public License (better 2.7)
+ * S-MART (http://urgi.versailles.inra.fr/Tools/S-Mart), a toolbox which handles mapped RNA-Seq and ChIP-Seq data. 
+ * DESeq (http://bioconductor.org/packages/release/bioc/html/DESeq.html), an R package to analyse
+   count data from high-throughput sequencing assays such as RNA-Seq and test
+   for differential expression. The package is available via Bioconductor (http://www.bioconductor.org/)
+   and can be conveniently installed as follows: 
+     Start an R session and type:
+     source("http://www.bioconductor.org/biocLite.R")
+     biocLite("DESeq")
+ * Biobase(http://www.bioconductor.org/packages/2.12/bioc/html/Biobase.html), an
+   Bioconductor package and can be installed as follows:
+     source("http://bioconductor.org/biocLite.R")
+     biocLite("Biobase")
+
+
+Copyright
+---------
+Copyright INRA-URGI 20012-2013
+
+
+Authors
+-------
+Yufei Luo
+Marie-Agnes Dillies
+Matthias Zytnicki
+Delphine Steinbach
+
+
+Contact
+-------
+urgi-support@versailles.inra.fr
+
+
+License
+-------
+This library is distributed under the terms of the CeCILL license 
+(http://www.cecill.info/index.en.html).
+See the LICENSE.txt file.
+
+
+Acknowledgements
+----------------
+Yufei Luo was supported by the Plant Breeding and Genetics research division of
+the INRA, and by the Groupement d'intérêt scientifique IBISA.
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/bam_to_sam_parallel.py	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,168 @@
+#!/usr/bin/env python
+"""
+Yufei LUO
+"""
+import optparse, os, sys, subprocess, tempfile, shutil, tarfile, random
+#from galaxy import eggs
+#import pkg_resources; pkg_resources.require( "bx-python" )
+#from bx.cookbook import doc_optparse
+#from galaxy import util
+
+def stop_err( msg ):
+    sys.stderr.write( '%s\n' % msg )
+    sys.exit()
+    
+def toTar(tarFileName, samOutputNames):
+    dir = os.path.dirname(tarFileName)    
+    tfile = tarfile.open(tarFileName + ".tmp.tar", "w")
+    currentPath = os.getcwd()
+    os.chdir(dir)
+    for file in samOutputNames:
+        relativeFileName = os.path.basename(file)
+        tfile.add(relativeFileName)
+    os.system("mv %s %s" % (tarFileName + ".tmp.tar", tarFileName))
+    tfile.close()
+    os.chdir(currentPath)    
+
+
+def __main__():
+    #Parse Command Line
+    parser = optparse.OptionParser()
+    parser.add_option('-t', '--tar', dest='outputTar', default=None, help='output all SAM results in a tar file.' )
+    parser.add_option( '', '--input1', dest='input1', help='The input list of BAM datasets on txt format.' )
+    #parser.add_option( '', '--input1', dest='input1', help='The input BAM dataset' )
+    parser.add_option( '', '--output1', dest='output1', help='The output list of SAM datasets on txt format.' )
+    #parser.add_option( '', '--output1', dest='output1', help='The output SAM dataset' )
+    parser.add_option( '', '--header', dest='header', action='store_true', default=False, help='Write SAM Header' )
+    ( options, args ) = parser.parse_args()
+
+
+    #Parse the input txt file and read a list of BAM files.
+    file = open(options.input1, "r")
+    lines = file.readlines()
+    inputFileNames = []
+    samOutputNames = []
+    outputName = options.output1
+    resDirName = os.path.dirname(outputName) + '/'
+    #Write output txt file and define all output sam file names.
+    out = open(outputName, "w")
+    for line in lines:
+        tab = line.split()
+        inputFileNames.append(tab[1])
+	samOutName = resDirName + tab[0] + '_samOutput_%s.sam' % random.randrange(0, 10000)
+        samOutputNames.append(samOutName)
+        out.write(tab[0] + '\t' + samOutName  + '\n')
+    file.close()
+    out.close()
+
+    # output version # of tool
+    try:
+        tmp_files = []
+        tmp = tempfile.NamedTemporaryFile().name
+        tmp_files.append(tmp)
+        tmp_stdout = open( tmp, 'wb' )
+        proc = subprocess.Popen( args='samtools 2>&1', shell=True, stdout=tmp_stdout )
+        tmp_stdout.close()
+        returncode = proc.wait()
+        stdout = None
+        for line in open( tmp_stdout.name, 'rb' ):
+            if line.lower().find( 'version' ) >= 0:
+                stdout = line.strip()
+                break
+        if stdout:
+            sys.stdout.write( 'Samtools %s\n' % stdout )
+        else:
+            raise Exception
+    except:
+        sys.stdout.write( 'Could not determine Samtools version\n' )
+
+
+
+    tmp_dirs = []
+    for i in range(len(inputFileNames)):
+        try:
+            # exit if input file empty
+            if os.path.getsize( inputFileNames[i] ) == 0:
+                raise Exception, 'Initial input txt file is empty.'
+            # Sort alignments by leftmost coordinates. File <out.prefix>.bam will be created. This command
+            # may also create temporary files <out.prefix>.%d.bam when the whole alignment cannot be fitted
+            # into memory ( controlled by option -m ).
+            tmp_dir = tempfile.mkdtemp()
+            tmp_dirs.append(tmp_dir)
+            tmp_sorted_aligns_file = tempfile.NamedTemporaryFile( dir=tmp_dir )
+            tmp_sorted_aligns_file_base = tmp_sorted_aligns_file.name
+            tmp_sorted_aligns_file_name = '%s.bam' % tmp_sorted_aligns_file.name
+            tmp_files.append(tmp_sorted_aligns_file_name)
+	    tmp_sorted_aligns_file.close()
+            
+            command = 'samtools sort %s %s' % ( inputFileNames[i], tmp_sorted_aligns_file_base )
+            tmp = tempfile.NamedTemporaryFile( dir=tmp_dir ).name
+            tmp_stderr = open( tmp, 'wb' )
+            proc = subprocess.Popen( args=command, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno() )
+            returncode = proc.wait()
+            tmp_stderr.close()
+            # get stderr, allowing for case where it's very large
+            tmp_stderr = open( tmp, 'rb' )
+            stderr = ''
+            buffsize = 1048576
+            try:
+                while True:
+                    stderr += tmp_stderr.read( buffsize )
+                    if not stderr or len( stderr ) % buffsize != 0:
+                        break
+            except OverflowError:
+                pass
+            tmp_stderr.close()
+            if returncode != 0:
+                raise Exception, stderr
+            # exit if sorted BAM file empty
+            if os.path.getsize( tmp_sorted_aligns_file_name) == 0:
+                raise Exception, 'Intermediate sorted BAM file empty'
+        except Exception, e:
+            stop_err( 'Error sorting alignments from (%s), %s' % ( inputFileNames[i], str( e ) ) )
+            
+        try:
+            # Extract all alignments from the input BAM file to SAM format ( since no region is specified, all the alignments will be extracted ).
+            if options.header:
+                view_options = "-h"
+            else:
+                view_options = ""
+            command = 'samtools view %s -o %s %s' % ( view_options, samOutputNames[i], tmp_sorted_aligns_file_name )
+            tmp = tempfile.NamedTemporaryFile( dir=tmp_dir ).name
+	    tmp_stderr = open( tmp, 'wb' )
+            proc = subprocess.Popen( args=command, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno() )
+            returncode = proc.wait()
+            tmp_stderr.close()
+            # get stderr, allowing for case where it's very large
+            tmp_stderr = open( tmp, 'rb' )
+            stderr = ''
+            buffsize = 1048576
+            try:
+                while True:
+                    stderr += tmp_stderr.read( buffsize )
+                    if not stderr or len( stderr ) % buffsize != 0:
+                        break
+            except OverflowError:
+                pass
+            tmp_stderr.close()
+            if returncode != 0:
+                raise Exception, stderr
+        except Exception, e:
+            stop_err( 'Error extracting alignments from (%s), %s' % ( inputFileNames[i], str( e ) ) )
+        if os.path.getsize( samOutputNames[i] ) > 0:
+            sys.stdout.write( 'BAM file converted to SAM' )
+        else:
+            stop_err( 'The output file is empty, there may be an error with your input file.' )
+     
+    if options.outputTar != None:
+        toTar(options.outputTar, samOutputNames)       
+    #clean up temp files
+    for tmp_dir in tmp_dirs:
+        if os.path.exists( tmp_dir ):
+            shutil.rmtree( tmp_dir )
+    #print tmp_files
+    #for tmp in tmp_files:
+    #    os.remove(tmp)            
+    
+
+if __name__=="__main__": __main__()
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/bam_to_sam_parallel.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,32 @@
+<tool id="bam_to_sam_parallel" name="BAM to SAM" version="1.0.0">
+  <description>converts a list of BAM format files to SAM format</description>
+  <requirements>
+	<requirement type="package">samtools</requirement>
+  </requirements>
+  <command interpreter="python"> bam_to_sam_parallel.py
+      --input1=$input1
+      --output1=$output1
+      $header
+      $tar $outputTarFile
+  </command>
+  <inputs>
+    <param name="input1" type="data" format="txt" label="BAM File LIST to Convert" />
+    <param name="header" type="boolean" truevalue="--header" falsevalue="" checked="False" label="Include header in output" />
+    <param name="tar" type="boolean" truevalue="-t" falsevalue="" checked="false" label="tar option" help="This option creates a tar file for all out results." />
+  </inputs>
+  <outputs>
+	  <data format="txt" name="output1" label="converted SAM LIST files " />
+	  <data name="outputTarFile" format="tar">
+		  <filter>tar</filter>
+	  </data>
+  </outputs>
+  <help>
+
+**What it does**
+
+This tool uses the SAMTools_ toolkit to produce a SAM file from a BAM file.
+
+.. _SAMTools: http://samtools.sourceforge.net/samtools.shtml
+
+  </help>
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/compareOverlapping_parallel.py	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,179 @@
+#! /usr/bin/env python
+"""
+Yufei LUO
+"""
+
+#This program is a wrapp for CompareOverlapping.py.
+import optparse, os, sys, subprocess, tempfile, shutil, tarfile, glob
+import os, struct, time, random
+from optparse import OptionParser
+from commons.core.parsing.ParserChooser import ParserChooser
+from commons.core.writer.Gff3Writer import Gff3Writer
+from SMART.Java.Python.CompareOverlapping import CompareOverlapping
+from SMART.Java.Python.structure.Transcript import Transcript
+from SMART.Java.Python.structure.Interval import Interval
+from SMART.Java.Python.ncList.NCList import NCList
+from SMART.Java.Python.ncList.NCListCursor import NCListCursor
+from SMART.Java.Python.ncList.NCListFilePickle import NCListFilePickle, NCListFileUnpickle
+from SMART.Java.Python.ncList.FileSorter import FileSorter
+from SMART.Java.Python.misc.Progress import Progress
+from SMART.Java.Python.misc.UnlimitedProgress import UnlimitedProgress
+from SMART.Java.Python.misc import Utils
+
+
+
+def stop_err( msg ):
+	sys.stderr.write( "%s\n" % msg )
+	sys.exit()
+
+def toTar(tarFileName, overlapOutputNames):
+	dir = os.path.dirname(tarFileName)	
+	tfile = tarfile.open(tarFileName + ".tmp.tar", "w")
+	currentPath = os.getcwd()
+	os.chdir(dir)
+	for file in overlapOutputNames:
+		relativeFileName = os.path.basename(file)
+		tfile.add(relativeFileName)
+	os.system("mv %s %s" % (tarFileName + ".tmp.tar", tarFileName))
+	tfile.close()
+	os.chdir(currentPath)
+
+def __main__():
+	description = "Compare Overlapping wrapp script: Get the a list of data which overlap with a reference set. [Category: Data Comparison]"
+	parser = OptionParser(description = description)
+	parser.add_option("-i", "--input1",		   dest="inputFileName1", action="store",					 type="string", help="input file 1 (for annotation) [compulsory] [format: file in transcript format given by -f]")
+	parser.add_option("-f", "--format1",		  dest="format1",		action="store",					 type="string", help="format of file 1 [compulsory] [format: transcript file format]")
+	parser.add_option("", "--inputTxt", 		dest="inputTxt", 		action="store", 				type="string", 	help="input, a txt file for a list of input reads files. Should identify all reads files format, given by -g [compulsory]")
+	#parser.add_option("-j", "--input2",		   dest="inputFileName2", action="store",	default="inputRead",	 type="string", help="input file 2 [compulsory] [format: file in transcript format given by -g]")
+	parser.add_option("-g", "--format2",		  dest="format2",		action="store",				 type="string", help="format of file 2 [compulsory] [format: transcript file format]")
+	#parser.add_option("-o", "--output",		   dest="output",		 action="store",	  default=None,  type="string", help="output file [compulsory] [format: output file in GFF3 format]")
+	parser.add_option("-S", "--start1",		   dest="start1",		 action="store",	  default=None,  type="int",	help="only consider the n first nucleotides of the transcripts in file 1 (do not use it with -U) [format: int]")
+	parser.add_option("-s", "--start2",		   dest="start2",		 action="store",	  default=None,  type="int",	help="only consider the n first nucleotides of the transcripts in file 2 (do not use it with -u) [format: int]")
+	parser.add_option("-U", "--end1",			 dest="end1",		   action="store",	  default=None,  type="int",	help="only consider the n last nucleotides of the transcripts in file 1 (do not use it with -S) [format: int]")
+	parser.add_option("-u", "--end2",			 dest="end2",		   action="store",	  default=None,  type="int",	help="only consider the n last nucleotides of the transcripts in file 2 (do not use it with -s) [format: int]")
+	parser.add_option("-t", "--intron",		   dest="introns",		action="store_true", default=False,				help="also report introns [format: bool] [default: false]")
+	parser.add_option("-E", "--5primeExtension1", dest="fivePrime1",	 action="store",	  default=None,  type="int",	help="extension towards 5' in file 1 [format: int]")
+	parser.add_option("-e", "--5primeExtension2", dest="fivePrime2",	 action="store",	  default=None,  type="int",	help="extension towards 5' in file 2 [format: int]")
+	parser.add_option("-N", "--3primeExtension1", dest="threePrime1",	action="store",	  default=None,  type="int",	help="extension towards 3' in file 1 [format: int]")
+	parser.add_option("-n", "--3primeExtension2", dest="threePrime2",	action="store",	  default=None,  type="int",	help="extension towards 3' in file 2 [format: int]")
+	parser.add_option("-c", "--colinear",		 dest="colinear",	   action="store_true", default=False,				help="colinear only [format: bool] [default: false]")
+	parser.add_option("-a", "--antisense",		dest="antisense",	  action="store_true", default=False,				help="antisense only [format: bool] [default: false]")
+	parser.add_option("-d", "--distance",		 dest="distance",	   action="store",	  default=None,	 type="int",	help="accept some distance between query and reference [format: int]")
+	parser.add_option("-k", "--included",		 dest="included",	   action="store_true", default=False,				help="keep only elements from file 1 which are included in an element of file 2 [format: bool] [default: false]")
+	parser.add_option("-K", "--including",		dest="including",	  action="store_true", default=False,				help="keep only elements from file 2 which are included in an element of file 1 [format: bool] [default: false]")
+	parser.add_option("-m", "--minOverlap",	   dest="minOverlap",	 action="store",	  default=None,	 type="int",	help="minimum number of nucleotides overlapping to declare an overlap [format: int] [default: 1]")
+	parser.add_option("-p", "--pcOverlap",		dest="pcOverlap",	  action="store",	  default=None,  type="int",	help="minimum percentage of nucleotides to overlap to declare an overlap [format: int]")
+	parser.add_option("-O", "--notOverlapping",   dest="notOverlapping", action="store_true", default=False,				help="also output not overlapping data [format: bool] [default: false]")
+	parser.add_option("-x", "--exclude",		  dest="exclude",		action="store_true", default=False,				help="invert the match [format: bool] [default: false]")
+	parser.add_option("-v", "--verbosity",		dest="verbosity",	  action="store",	  default=1,	 type="int",	help="trace level [format: int]")
+	parser.add_option('', '--tar', dest='outputTar', default=None, help='output all SAM results in a tar file.' )
+	parser.add_option( '', '--outTxt', dest='outTxtFile', help='The output list of results files on txt format.[compulsory]' )
+	(options, args) = parser.parse_args()
+	
+	
+	#Parse the input txt file and read a list of BAM files.
+	file = open(options.inputTxt, "r")
+	lines = file.readlines()
+	inputFileNames = []
+	overlapOutputNames = []
+	outputName = options.outTxtFile
+	resDirName = os.path.dirname(outputName) + "/"
+	#Write output txt file and define all output sam file names.
+	out = open(outputName, "w")
+	for line in lines:
+		tab = line.split()
+		inputFileNames.append(tab[1])
+		overlapOutName = resDirName + tab[0] + '_overlapOut_%s.gff3' % random.randrange(0, 10000)
+		overlapOutputNames.append(overlapOutName)
+		out.write(tab[0] + '\t' + overlapOutName  + '\n')
+	file.close()
+	out.close()
+	
+	#construction the commandes for each input file
+	cmds = []
+	for i in range(len(inputFileNames)):
+		absFile = sys.argv[0]
+		absDir = os.path.dirname(absFile)
+		parentDir = os.path.abspath(os.path.join(absDir, os.path.pardir))
+		cmd = "python %s/Java/Python/CompareOverlappingSmallQuery.py " % parentDir
+		opts = "-i %s -f %s -j %s -g %s -o %s " % (options.inputFileName1, options.format1, inputFileNames[i], options.format2, overlapOutputNames[i])
+		#if options.start1 != None:
+		#	opts += "-S %s " % options.start1
+		#if options.start2 != None:
+		#	opts += "-s %s " % options.start2
+		#if options.end1 != None:
+		#	opts += "-U %s " % options.end1
+		#if options.end2 != None:
+		#	opts += "-u %s " % options.end2
+		#if options.fivePrime1 != None:
+		#	opts += "-E %s " % options.fivePrime1
+		#if options.fivePrime2 != None:
+		#	opts += "-e %s " % options.fivePrime2
+		#if options.threePrime1 != None:
+		#	opts += "-N %s " % options.threePrime1
+		#if options.threePrime2 != None:
+		#	opts += "-n %s " % options.threePrime2
+		#if options.colinear:
+		#	opts += "-c "
+		#if options.antisense:
+		#	opts +="-a "
+		#if options.included:
+		#	opts += "-k "
+		#if options.including:
+		#	opts += "-K "
+		#if options.pcOverlap != None:
+		#	opts += "-p %s " % options.pcOverlap
+		if options.notOverlapping:
+			opts += "-O "
+		if options.exclude:
+			opts += "-x "
+		if options.distance != None:
+			opts += "-d %s " % options.distance
+		#if options.minOverlap != None:
+		#	opts += "-m %s " % options.minOverlap
+		cmd += opts
+		cmds.append(cmd)
+
+
+	print "les commandes sont %s \n" % cmds
+
+	tmp_files = []	
+	for i in range(len(cmds)):
+		try:
+			tmp_out = tempfile.NamedTemporaryFile().name
+			tmp_files.append(tmp_out)
+			tmp_stdout = open( tmp_out, 'wb' )
+			tmp_err = tempfile.NamedTemporaryFile().name
+			tmp_files.append(tmp_err)
+			tmp_stderr = open( tmp_err, 'wb' )
+			proc = subprocess.Popen( args=cmds[i], shell=True, cwd=".", stdout=tmp_stdout, stderr=tmp_stderr )
+			returncode = proc.wait()
+			tmp_stderr.close()
+			# get stderr, allowing for case where it's very large
+			tmp_stderr = open( tmp_err, 'rb' )
+			stderr = ''
+			buffsize = 1048576
+			try:
+				while True:
+					stderr += tmp_stderr.read( buffsize )
+					if not stderr or len( stderr ) % buffsize != 0:
+						break
+			except OverflowError:
+				pass
+			tmp_stdout.close()
+			tmp_stderr.close()
+			if returncode != 0:
+				raise Exception, stderr
+		except Exception, e:
+			stop_err( 'Error in :\n' + str( e ) )
+
+	if options.outputTar != None:
+		toTar(options.outputTar, overlapOutputNames)	
+	
+	for tmp_file in tmp_files:
+		os.remove(tmp_file)
+
+
+if __name__=="__main__": __main__()		
+		
+		
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/compareOverlapping_parallel.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,251 @@
+<tool id="CompareOverlapping_parallel" name="CompareOverlapping_parallel">
+	<description>Shrink or extend the sets of genomic coordinates to get the information between starts of reads and starts of genes.</description>
+	<command interpreter="python">
+		compareOverlapping_parallel.py -i $formatType.inputFileName1
+		#if $formatType.FormatInputFileName1 == 'bed':
+			-f bed
+		#elif $formatType.FormatInputFileName1 == 'gff':
+			-f gff	
+		#elif $formatType.FormatInputFileName1 == 'gff2':
+			-f gff2
+		#elif $formatType.FormatInputFileName1 == 'gff3':
+			-f gff3
+		#elif $formatType.FormatInputFileName1 == 'sam':
+			-f sam
+		#elif $formatType.FormatInputFileName1 == 'gtf':
+			-f gtf
+		#end if
+			
+		--inputTxt $inputTxt 
+		
+		-g $format2
+
+		--outTxt $outTxtFile
+
+		#if $optionNFirstFile1.NFirstForFile1 == 'Yes':
+			-S $optionNFirstFile1.firstNtFile1
+		#end if
+		#if $optionNFirstFile2.NFirstForFile2 == 'Yes':
+			-s $optionNFirstFile2.firstNtFile2
+		#end if
+		#if $optionNLastFile1.NLastForFile1 == 'Yes':
+			-U $optionNLastFile1.lastNtFile1
+		#end if
+		#if $optionNLastFile2.NLastForFile2 == 'Yes':
+			-u $optionNLastFile2.lastNtFile2
+		#end if
+	
+		#if $optionExtentionCinqFile1.extentionFile1 == 'Yes':
+			-E $optionExtentionCinqFile1.extention51
+		#end if
+		#if $optionExtentionCinqFile2.extentionFile2 == 'Yes':
+			-e $optionExtentionCinqFile2.extention52
+		#end if
+
+		#if $optionExtentionTroisFile1.extentionFile1 == 'Yes':
+			-N $optionExtentionTroisFile1.extention31
+		#end if
+		#if $optionExtentionTroisFile2.extentionFile2 == 'Yes':
+			-n $optionExtentionTroisFile2.extention32
+		#end if	
+
+		#if $OptionColinearOrAntiSens.OptionCA == 'Colinear':
+			-c 
+		#elif $OptionColinearOrAntiSens.OptionCA == 'AntiSens':
+			-a
+		#end if	
+
+		#if $OptionDistance.Dist == 'Yes':
+			-d $OptionDistance.distance
+		#end if
+
+		#if $OptionMinOverlap.MO == 'Yes':
+			-m $OptionMinOverlap.minOverlap
+		#end if
+
+		$InvertMatch
+		$ReportIntron
+		$NotOverlapping
+		$tar $outputTarFile
+	</command>
+
+	<inputs>
+
+		<conditional name="formatType">
+			<param name="FormatInputFileName1" type="select" label="Input File Format 1">
+				<option value="bed">bed</option>
+				<option value="gff">gff</option>
+				<option value="gff2">gff2</option>
+				<option value="gff3">gff3</option>
+				<option value="sam">sam</option>
+				<option value="gtf">gtf</option>
+			</param>
+			<when value="bed">
+				<param name="inputFileName1" format="bed" type="data" label="Input File 1"/>
+			</when>
+			<when value="gff">
+				<param name="inputFileName1" format="gff" type="data" label="Input File 1"/>
+			</when>
+			<when value="gff2">
+				<param name="inputFileName1" format="gff2" type="data" label="Input File 1"/>
+			</when>
+			<when value="gff3">
+				<param name="inputFileName1" format="gff3" type="data" label="Input File 1"/>
+			</when>
+			<when value="sam">
+				<param name="inputFileName1" format="sam" type="data" label="Input File 1"/>
+			</when>
+			<when value="gtf">
+				<param name="inputFileName1" format="gtf" type="data" label="Input File 1"/>
+            </when>
+		</conditional>
+		
+		<param name="inputTxt" type="data" format="txt" label="A txt file contains a list of several input transcripts files." />
+		
+		<param name="format2" type="text" value="bed" label="format for  File 2, you can choose [bed, gff, gff2, gff3, sam, gtf]"/>
+		
+		<conditional name="optionNFirstFile1">
+			<param name="NFirstForFile1" type="select" label="NFirst for file 1" help="only consider the n first nucleotides of the transcripts in file 1">
+					<option value="Yes">Yes</option>
+					<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="firstNtFile1" type="integer" value="1" label="n first nucleotides for input file 1" />
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+		<conditional name="optionNFirstFile2">
+			<param name="NFirstForFile2" type="select" label="NFirst for file 2" help="only consider the n first nucleotides of the transcripts in file 2">
+				<option value="Yes">Yes</option>
+				<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="firstNtFile2" type="integer" value="1" label="n first nucleotides for input file 1" />
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+
+		<conditional name="optionNLastFile1">
+			<param name="NLastForFile1" type="select" label="NLast for file 1">
+					<option value="Yes">Yes</option>
+					<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="lastNtFile1" type="integer" value="1" label="n last nucleotides for input file 1" help="only consider the n last nucleotides of the transcripts in file 1"/>
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+		<conditional name="optionNLastFile2">
+			<param name="NLastForFile2" type="select" label="NLast for file 2">
+				<option value="Yes">Yes</option>
+				<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="lastNtFile2" type="integer" value="1" label="n last nucleotides for input file 2" help="only consider the n last nucleotides of the transcripts in file 2"/>
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+
+		<conditional name="optionExtentionCinqFile1">
+			<param name="extentionFile1" type="select" label="Extension towards 5 for file 1">
+					<option value="Yes">Yes</option>
+					<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="extention51" type="integer" value="1" label="in file 1" />
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+
+		<conditional name="optionExtentionCinqFile2">
+			<param name="extentionFile2" type="select" label="Extension towards 5 for file 2">
+				<option value="Yes">Yes</option>
+				<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="extention52" type="integer" value="1" label="in file 2"/>
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+
+		<conditional name="optionExtentionTroisFile1">
+			<param name="extentionFile1" type="select" label="Extension towards 3 for file 1">
+					<option value="Yes">Yes</option>
+					<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="extention31" type="integer" value="1" label="in file 1" />
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+
+		<conditional name="optionExtentionTroisFile2">
+			<param name="extentionFile2" type="select" label="Extension towards 3 for file 2">
+				<option value="Yes">Yes</option>
+				<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="extention32" type="integer" value="1" label="in file 2" />
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+
+		<conditional name="OptionColinearOrAntiSens">
+			<param name="OptionCA" type="select" label="Colinear or anti-sens">
+				<option value="Colinear">Colinear</option>
+				<option value="AntiSens">AntiSens</option>
+				<option value="NONE" selected="true">NONE</option>
+			</param>
+			<when value="Colinear">
+			</when>
+			<when value="AntiSens">
+			</when>
+			<when value="NONE">
+			</when>
+		</conditional>
+
+		<conditional name="OptionDistance">
+			<param name="Dist" type="select" label="Maximum Distance between two reads">
+				<option value="Yes">Yes</option>
+				<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="distance" type="integer" value="0"/>
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+
+		<conditional name="OptionMinOverlap">
+			<param name="MO" type="select" label="Minimum number of overlapping between two reads">
+				<option value="Yes">Yes</option>
+				<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="minOverlap" type="integer" value="1"/>
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+		<param name="InvertMatch" type="boolean" truevalue="-x" falsevalue="" checked="false" label="Invert match"/>
+		<param name="ReportIntron" type="boolean" truevalue="-t" falsevalue="" checked="false" label="Report intron"/>
+		<param name="NotOverlapping" type="boolean" truevalue="-O" falsevalue="" checked="false" label="When there is no overlapping, the number of Overlapping will be set to 0 by defalt."/>
+		<param name="tar" type="boolean" truevalue="--tar" falsevalue="" checked="false" label="tar option" help="This option creates a tar file for all out results." />
+	</inputs>
+
+	<outputs>
+		<data name="outTxtFile" format="txt" label="overlapping output files "/>
+		<data name="outputTarFile" format="tar">
+		  <filter>tar</filter>
+	  </data>
+	</outputs> 
+	
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/countNumber.pl	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,37 @@
+#!/usr/bin/perl -w
+###
+###Yufei LUO
+###
+
+use strict;
+
+my $in_file = $ARGV[0];
+my $out_file = $ARGV[1];
+my $sort_type = $ARGV[2]; # n(umeric) or a(lphanumeric)
+my ($line,$ID,$nbOverlaps,%hash);
+
+open(IN, $in_file);
+while ($line = <IN>){
+	chomp($line);
+	$line=~s/\t/|/g;
+	my @part=split(/\|/,$line);
+	my @split=split(";",$part[$#part]);
+	$split[0] =~ m/^(\w+).+$/;
+	
+	foreach my $i (@split){
+		if ($i=~m/nbOverlaps=(.+)/){
+			$nbOverlaps=$1;
+		}
+		if ($i=~m/gene_id=(.+)/){
+			$ID=$1;
+			$hash{$ID}=$nbOverlaps;
+		}
+	}
+}
+close(IN);
+
+open(OUT, ">$out_file");
+foreach my $key ( sort keys %hash) {
+	print OUT "$key\t$hash{$key}\n";
+}
+close(OUT);
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/countNumber.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,16 @@
+<tool id="countNumber" name="countNumber">
+	<description>Calculate the number of reads(annotations) overlapping for each transcript.</description>
+	<command interpreter="perl"> countNumber.pl $input $outputCSV
+	</command>
+
+	<inputs>
+		<param name="input" type="data" format="gff3" label="Please choose your gff3 format file (which contains the number of overlaps)."/>		
+	</inputs>
+
+	<outputs>
+		<data format="csv" name="outputCSV" label="countNumber Output"/>
+	</outputs>
+
+	<help>
+	</help>
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/countNumber_parallel.py	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,98 @@
+#! /usr/bin/env python
+"""
+Yufei LUO
+"""
+
+import optparse, os, sys, subprocess, tempfile, shutil, tarfile, random
+from optparse import OptionParser
+
+def stop_err(msg):
+	sys.stderr.write('%s\n' % msg)
+	sys.exit()
+
+def toTar(tarFileName, outCountNames):
+	dir = os.path.dirname(tarFileName)
+	tfile = tarfile.open(tarFileName + ".tmp.tar", "w")
+	currentPath = os.getcwd()
+	os.chdir(dir)
+	for file in outCountNames:
+		relativeFileName = os.path.basename(file)
+		tfile.add(relativeFileName)
+	os.system("mv %s %s" % (tarFileName + ".tmp.tar", tarFileName))
+	tfile.close()
+	os.chdir(currentPath)
+
+
+def __main__():
+	#Parse Command Line
+	parser = optparse.OptionParser()
+	parser.add_option("-i", "--input", dest="inputFile", help="input txt file, a list of overlapping results files.")
+	parser.add_option("-o", "--output", dest="outputFile", help="Out txt file.")
+	parser.add_option("-t", "--tar", dest="outputTar", default=None, help="output all count results in a tar file.")
+	(options, args) = parser.parse_args()
+
+	#Parse the input txt file and read a list of transcripts files.
+	file = open(options.inputFile, "r")
+	lines = file.readlines()
+	inputFileNames = []
+	outCountNames = []
+	outputName = options.outputFile
+	resDirName = os.path.dirname(outputName) + '/'
+
+	#Write output txt file and define all output count file names
+	out = open(outputName, "w")
+	out.write("label\tfiles\tgroup\n")
+	for line in lines:
+		tab = line.split()
+		inputFileNames.append(tab[1])
+		outCountName = resDirName + tab[0] + "_outCount_%s.csv" % random.randrange(0, 10000)
+		outCountNames.append(outCountName)
+		out.write(tab[0] + '\t' + outCountName + '\t' + tab[0][5] + '\n')
+	file.close()
+	out.close()
+
+	#Construct the lines commands
+	cmds = []
+	for i in range(len(inputFileNames)):
+		cmd = "perl countNumber.pl "
+		opts = "%s %s " % (inputFileNames[i], outCountNames[i])
+		cmd += opts
+		cmds.append(cmd)
+
+	tmp_files = []
+	for i in range(len(cmds)):
+		try:
+			tmp_out = tempfile.NamedTemporaryFile().name
+			tmp_files.append(tmp_out)
+			tmp_stdout = open(tmp_out, 'wb')
+			tmp_err = tempfile.NamedTemporaryFile().name
+			tmp_files.append(tmp_err)
+			tmp_stderr = open(tmp_err, 'wb')
+			proc = subprocess.Popen(args=cmds[i], shell=True, cwd=".", stdout=tmp_stdout, stderr=tmp_stderr)
+			returncode = proc.wait()
+			tmp_stderr.close()
+			#get stderr, allowing for case where it's very large
+			tmp_stderr = open(tmp_err, 'rb')
+			stderr = ''
+			buffsize = 1048576
+			try:
+				while True:
+					stderr += tmp_stderr.read(buffsize)
+					if not stderr or len(stderr) % buffsize != 0:
+						break
+			except OverflowError:
+				pass
+			tmp_stdout.close()
+			tmp_stderr.close()
+			if returncode != 0:
+				raise Exception, stderr
+		except Exception, e:
+			stop_err('Error in :\n' + str(e))
+	
+	if options.outputTar != None:
+		toTar(options.outputTar, outCountNames)
+
+	for tmp_file in tmp_files:
+		os.remove(tmp_file)
+
+if __name__=="__main__":__main__()
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/countNumber_parallel.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,19 @@
+<tool id="countNumber_parallel" name="countNumber_parallel">
+
+	<description>Calculate the number of reads(annotations) overlapping for each transcript.</description>
+	<command interpreter="python"> countNumber_parallel.py -i $inputTxt -o $outputTxt $tar $outputTarFile
+	</command>
+
+	<inputs>
+		<param name="inputTxt" type="data" format="txt" label="Please choose your txt format file (which contains a list of gff3 overlapping results files)."/>		
+		<param name="tar" type="boolean" truevalue="-t" falsevalue="" checked="False" label="tar option" help="This option creates a tar file for all out results" />
+	</inputs>
+
+	<outputs>
+		<data format="txt" name="outputTxt" label="countNumber Output"/>
+		<data name="outputTarFile" format="tar">
+			<filter>tar</filter>
+		</data>
+	</outputs>
+
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/deseq.sh	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,25 @@
+#! /bin/sh
+###
+###Yufei LUO
+###
+
+
+#Arguments :
+#$1=targetFile(the list of files) 
+#$2=with or without header
+#$3=with or without replicates
+#$4=OUT_HTML.html
+#$5=OUT_HTML images directory
+#$6=OUT_complete.xls
+#$7=OUT_up.xls
+#$8=OUT_down.xls
+
+#run example: 
+#bash deseq.sh DESeqTools/targetTest.txt 1 1 testOUT_HTML.html /tmp/ testOUT_complet.xls testOUT_up.xls testOUT_down.xls
+
+#echo $5
+#mkdir -p $5 #First, create the images tmp directory given by Galaxy, -p option can create the parent directory which dosen't exist.
+
+mkdir -p $5
+MY_PATH=`dirname $0` 
+cat $MY_PATH/DESeqTools/anadiffGenes2conds.R | R --slave --args $1 $2 $3 $4 $5 $6 $7 $8 $0 < $MY_PATH/DESeqTools/anadiffGenes2conds.R
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/deseq.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,28 @@
+<tool id="DESEQ" name="DESEQ for differential expression analysis">
+  <description>Differential expression analysis for reads count data</description>
+  <requirements>
+    <requirement type="package">R</requirement>
+    <requirement type="package">Biobase</requirement>
+    <requirement type="package">DESeq</requirement>
+  </requirements>
+  
+  <command interpreter="bash"> deseq.sh $inputFile $header $withOutReplicates $outHTML $outHTML.files_path $outComplete $outUP $outDown 2> $log </command>
+
+  <inputs>
+      <param name="inputFile" type="data" label="Input File list" format="txt"/>
+      <param name="header" type="boolean" truevalue="1" falsevalue="0" checked="false" label="If there is a header for your count files, please choose this case."/>
+      <param name="withOutReplicates" type="boolean" truevalue="1" falsevalue="0" checked="false" label="If your data has not replicates, please choose this case."/>
+
+  </inputs>
+
+  <outputs>
+      <data format="HTML" name="outHTML" label="[DESEQ] Output HTML File" help="This output file shows all results images by DESeq analysis"/> 
+      <data format="tabular" name="outComplete" label="[DESEQ] Output complete File"/> 
+      <data format="tabular" name="outUP" label="[DESEQ] Output up File" help="This output file shows the genes of group1 which are overexpressed than those of group2"/> 
+      <data format="tabular" name="outDown" label="[DESEQ] Output down File" help="This output file shows the  genes of group1 which are less expressed than those of group2"/>
+      <data format="txt" name="log" label="[DESEQ] Output log File"/> 
+  </outputs>
+
+  <help>
+  </help>
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/fastq_groomer_parallel.py	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,121 @@
+#!/usr/bin/env python
+"""
+Yufei LUO
+"""
+
+
+import sys, os, optparse, random
+from galaxy_utils.sequence.fastq import fastqReader, fastqVerboseErrorReader, fastqAggregator, fastqWriter
+
+def stop_err(msg):
+	sys.stderr.write("%s\n" % msg)
+	sys.exit()
+
+def main():
+
+    input_filename = sys.argv[1]  #a txt file
+    input_type = sys.argv[2]
+    output_filename = sys.argv[3] #a txt file
+    output_type = sys.argv[4]
+    force_quality_encoding = sys.argv[5]
+    summarize_input = sys.argv[6] == 'summarize_input'
+    pairedEnd_input = sys.argv[7] 
+    if pairedEnd_input == 'None':
+	    pairedEnd_input = None
+    else:
+	output_pairedEndFileName = sys.argv[8]
+
+    if force_quality_encoding == 'None':
+        force_quality_encoding = None
+
+    #Parse the input txt file and read a list of fastq files
+    file = open(input_filename, "r")
+    lines = file.readlines()
+    inputFileNames = []
+    outGroomerNames = []
+    resDirName = os.path.dirname(output_filename) + "/"
+    #Write output txt file and define all output groomer file names
+    outFile = open(output_filename, "w")
+    for line in lines:
+		tab = line.split()
+		inputFileNames.append(tab[1])
+		outGroomerName = resDirName + tab[0] + '_outGroomer_%s.fastq' % random.randrange(0, 10000)
+		outGroomerNames.append(outGroomerName)
+		outFile.write(tab[0] + '\t' + outGroomerName + '\n')
+    outFile.close()
+    file.close()
+
+    if pairedEnd_input != None:
+	inPairedFile = open(pairedEnd_input, "r")
+	lines = inPairedFile.readlines()
+	inputPairedEndFileNames = []
+	outGroomerPairedEndNames = []
+	outPairedEndFile = open(output_pairedEndFileName, "w")
+	for line in lines:
+		tab = line.split()
+		inputPairedEndFileNames.append(tab[1])
+		outGroomerPairedEndName = resDirName + tab[0] + '_outGroomer_pairedEnd_%s.fastq' % random.randrange(0, 10000)
+		outGroomerPairedEndNames.append(outGroomerPairedEndName)
+		outPairedEndFile.write(tab[0] + '\t' + outGroomerPairedEndName + '\n')
+	outPairedEndFile.close()
+        inPairedFile.close()
+    
+    # Write output file
+    aggregator = fastqAggregator()
+    for i in range(len(outGroomerNames)):
+	out = fastqWriter( open( outGroomerNames[i], 'wb' ), format = output_type, force_quality_encoding = force_quality_encoding )
+	read_count = None
+	if summarize_input:
+	    reader = fastqVerboseErrorReader
+	else:
+	    reader = fastqReader
+	for read_count, fastq_read in enumerate( reader( open( inputFileNames[i] ), format = input_type, apply_galaxy_conventions = True ) ):
+	    if summarize_input:
+	        aggregator.consume_read( fastq_read )
+	    out.write( fastq_read )
+	out.close()
+	    
+	if read_count is not None:
+	    print "Groomed %i %s reads into %s reads." % ( read_count + 1, input_type, output_type )
+	    if input_type != output_type and 'solexa' in [ input_type, output_type ]:
+	        print "Converted between Solexa and PHRED scores."
+	    if summarize_input:
+	        print "Based upon quality and sequence, the input data is valid for: %s" % ( ", ".join( aggregator.get_valid_formats() )  or "None" )
+	        ascii_range = aggregator.get_ascii_range()
+	        decimal_range =  aggregator.get_decimal_range()
+	        print "Input ASCII range: %s(%i) - %s(%i)" % ( repr( ascii_range[0] ), ord( ascii_range[0] ), repr( ascii_range[1] ), ord( ascii_range[1] ) ) #print using repr, since \x00 (null) causes info truncation in galaxy when printed
+	        print "Input decimal range: %i - %i" % ( decimal_range[0], decimal_range[1] )        
+	else:
+	     print "No valid FASTQ reads were provided."
+
+
+    # Write output pairedEnd file
+    if pairedEnd_input != None:
+	    aggregator = fastqAggregator()
+	    for i in range(len(outGroomerPairedEndNames)):
+		    outPair = fastqWriter(open(outGroomerPairedEndNames[i], 'wb'), format = output_type, force_quality_encoding = force_quality_encoding)
+		    read_count = None
+		    if summarize_input:
+			    reader = fastqVerboseErrorReader
+		    else:
+			    reader = fastqReader
+		    for read_count, fastq_reader in enumerate(reader(open(inputPairedEndFileNames[i]), format=input_type, apply_galaxy_conventions=True)):
+				   if summarize_input:
+				   	aggregator.consume_read(fastq_read)
+				   outPair.write(fastq_read)
+		    outPair.close()
+
+		    if read_count is not None:
+		    	print "Groomed %i %s reads into %s reads." % ( read_count + 1, input_type, output_type )
+		    if input_type != output_type and 'solexa' in [ input_type, output_type ]:
+		   	print "Converted between Solexa and PHRED scores."
+		    if summarize_input:
+		   	print "Based upon quality and sequence, the input data is valid for: %s" % ( ", ".join( aggregator.get_valid_formats() )  or "None" )
+			ascii_range = aggregator.get_ascii_range()
+			decimal_range =  aggregator.get_decimal_range()
+			print "Input ASCII range: %s(%i) - %s(%i)" % ( repr( ascii_range[0] ), ord( ascii_range[0] ), repr( ascii_range[1] ), ord( ascii_range[1] ) ) #print using repr, since \x00 (null) causes info truncation in galaxy when printed
+			print "Input decimal range: %i - %i" % ( decimal_range[0], decimal_range[1] )
+		    else:
+		   	 print "No valid paired-end FASTQ reads were provided."
+
+if __name__ == "__main__": main()
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/fastq_groomer_parallel.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,122 @@
+<tool id="fastq_groomer_parallel" name="FASTQ Groomer parallel" version="1.0.0">
+  <description>convert between various FASTQ quality formats for a list of inputs</description>
+  <command interpreter="python">fastq_groomer_parallel.py '$input_file' '$input_type' '$output_file'
+#if str( $options_type['options_type_selector'] ) == 'basic':
+#if str( $input_type ) == 'cssanger':
+'cssanger'
+#else:
+'sanger'
+#end if
+'ascii' 'summarize_input'
+#else:
+'${options_type.output_type}' '${options_type.force_quality_encoding}' '${options_type.summarize_input}'
+#end if
+#if $OptionPairedEnd.pairedEnd == "Yes":
+'$OptionPairedEnd.pairedEnd_input' '$output_pairedEndFile'
+#else:
+'None' 'None'
+#end if
+</command>
+  <inputs>
+    <param name="input_file" type="data" format="txt" label="The File list to groom" />
+    <param name="input_type" type="select" label="Input FASTQ quality scores type">
+      <option value="solexa">Solexa</option>
+      <option value="illumina">Illumina 1.3-1.7</option>
+      <option value="sanger" selected="True">Sanger</option>
+      <option value="cssanger">Color Space Sanger</option>
+    </param>
+    <conditional name="options_type">
+    <param name="options_type_selector" type="select" label="Advanced Options">
+      <option value="basic" selected="True">Hide Advanced Options</option>
+      <option value="advanced">Show Advanced Options</option>
+    </param>
+    <when value="basic">
+      <!-- no options -->
+    </when>
+    <when value="advanced">
+      <param name="output_type" type="select" label="Output FASTQ quality scores type" help="Galaxy tools are designed to work with the Sanger Quality score format.">
+        <option value="solexa">Solexa</option>
+        <option value="illumina">Illumina 1.3+</option>
+        <option value="sanger" selected="True">Sanger (recommended)</option>
+        <option value="cssanger">Color Space Sanger</option>
+      </param>
+      <param name="force_quality_encoding" type="select" label="Force Quality Score encoding">
+        <option value="None">Use Source Encoding</option>
+        <option value="ascii" selected="True">ASCII</option>
+        <option value="decimal">Decimal</option>
+      </param>
+      <param name="summarize_input" type="select" label="Summarize input data">
+        <option value="summarize_input" selected="True">Summarize Input</option>
+        <option value="dont_summarize_input">Do not Summarize Input (faster)</option>
+      </param>
+    </when>
+  </conditional>
+
+  <conditional name="OptionPairedEnd">
+	  <param name="pairedEnd" type="select" label="For paired-end analysis.">
+		  <option value="Yes">Yes</option>
+		  <option value="No" selected="true">No</option>
+	  </param>
+	  <when value="Yes">
+		  <param name="pairedEnd_input" type="data" format="txt" label="input paired-end files list"/>
+	  </when>
+	  <when value="No">
+	  </when>
+  </conditional>
+
+  </inputs>
+
+  <outputs>
+    <data name="output_file" format="txt">
+    </data>
+    <data format="txt" name="output_pairedEndFile" label="output Paired-end fastq files">
+    	<filter>(OptionPairedEnd['pairedEnd']=='Yes')</filter>
+    </data>
+  </outputs>
+  <help>
+**What it does**
+
+This tool offers several conversions options relating to the FASTQ format.
+
+When using *Basic* options, the output will be *sanger* formatted or *cssanger* formatted (when the input is Color Space Sanger).
+
+When converting, if a quality score falls outside of the target score range, it will be coerced to the closest available value (i.e. the minimum or maximum). 
+
+When converting between Solexa and the other formats, quality scores are mapped between Solexa and PHRED scales using the equations found in `Cock PJ, Fields CJ, Goto N, Heuer ML, Rice PM. The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants. Nucleic Acids Res. 2009 Dec 16.`_
+
+When converting between color space (csSanger) and base/sequence space (Sanger, Illumina, Solexa) formats, adapter bases are lost or gained; if gained, the base 'G' is used as the adapter. You cannot convert a color space read to base space if there is no adapter present in the color space sequence. Any masked or ambiguous nucleotides in base space will be converted to 'N's when determining color space encoding.
+
+-----
+
+**Quality Score Comparison**
+
+::
+
+    SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS
+    ...............................IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII
+    ..........................XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+    !"#$%&amp;'()*+,-./0123456789:;&lt;=&gt;?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~
+    |                         |    |        |                              |                     |
+   33                        59   64       73                            104                   126
+  
+   S - Sanger       Phred+33,  93 values  (0, 93) (0 to 60 expected in raw reads)
+   I - Illumina 1.3 Phred+64,  62 values  (0, 62) (0 to 40 expected in raw reads)
+   X - Solexa       Solexa+64, 67 values (-5, 62) (-5 to 40 expected in raw reads)
+
+Diagram adapted from http://en.wikipedia.org/wiki/FASTQ_format
+
+.. class:: infomark
+
+Output from Illumina 1.8+ pipelines are Sanger encoded.
+
+------
+
+**Citation**
+
+If you use this tool, please cite `Blankenberg D, Gordon A, Von Kuster G, Coraor N, Taylor J, Nekrutenko A; Galaxy Team. Manipulation of FASTQ data with Galaxy. Bioinformatics. 2010 Jul 15;26(14):1783-5. &lt;http://www.ncbi.nlm.nih.gov/pubmed/20562416&gt;`_
+
+
+.. _Cock PJ, Fields CJ, Goto N, Heuer ML, Rice PM. The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants. Nucleic Acids Res. 2009 Dec 16.: http://www.ncbi.nlm.nih.gov/pubmed/20015970
+
+  </help>
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/gsnap.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,49 @@
+<tool id="gsnap" name="gsnap">
+
+	<description>GSNAP version 2012-12-20. 
+	             GMAP: A Genomic Mapping and Alignment Program for mRNA and EST Sequences, and
+                 GSNAP: Genomic Short-read Nucleotide Alignment Program 
+    </description>
+    
+	<requirements>
+        <requirement type="package">gmap</requirement>
+    </requirements>
+
+	
+	<command interpreter="python"> wrappGSNAP.py 
+		-d $genomeName -D $genomeName.files_path -k $kmer -i $inputFasta -q $inputFastq -A $outputFormat 
+	
+		#if $optionPairedEnd.paire == 'Yes':
+				-p $optionPairedEnd.pairedEndFile
+		#end if
+		
+		> $outputSam
+	
+	</command>
+
+	<inputs>
+		<param name="inputFasta" type="data" format="fasta" label="Reference genome file, fasta format."/>	
+		<param name="genomeName" type="text" value="Arabidopsis_Thaliana" label="Please give the reference genome a name! (Ex. Arabidopsis_Thaliana)"/>	
+		<param name="kmer" type="integer" value="12" label="Choose kmer value (<=16), a big kmer value can take more RAM(4Go)." />
+		<param name="inputFastq" type="data" format="fastq" label="Input fastq file."/>
+		<param name="outputFormat" type="text" format="sam" label="Choose an output format [sam, goby (need to re-compile with appropriate options)]."/>
+		
+		<conditional name="optionPairedEnd">
+			<param name="paire" type="select" label="pairedEnd fastq file">
+				<option value="Yes">Yes</option>
+				<option value="No" selected="true">No</option>
+			</param>
+			<when value="Yes">
+				<param name="pairedEndFile" type="data" format="fastq"/>
+			</when>
+			<when value="No">
+			</when>
+		</conditional>
+	
+	</inputs>
+
+	<outputs>
+		<data format="sam" name="outputSam" label="gsnap Output"/>
+	</outputs>
+
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/listInputs.pl	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,18 @@
+#!/usr/bin/perl -w
+###
+###Yufei LUO
+###
+
+
+
+use strict;
+
+my $in_file1 = $ARGV[0];
+my $in_file2 = $ARGV[1];
+my $out_file = $ARGV[2];
+
+open(OUT, ">$out_file");
+print OUT "label\tfiles\tgroup\n";
+print OUT "fileID=1\t$in_file1\tgroup1\n";
+print OUT "fileID=2\t$in_file2\tgroup2\n";
+close(OUT);
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/listInputs.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,25 @@
+<tool id="listInputs" name="listInputs">
+	<description>Give a list of input files from different conditions/groups for DESeq analysis, DESeq can then charge these input files from the given list.</description>
+	<command interpreter="perl"> listInputs.pl $inputFromGroup1 $inputFromGroup2 $output
+	</command>
+
+	<inputs>
+		<param name="inputFromGroup1" type="data" format="tabular" label="Please choose your file from group1."/>
+		<param name="inputFromGroup2" type="data" format="tabular" label="Please choose your file from group2."/>		
+	</inputs>
+
+	<outputs>
+		<data format="txt" name="output" label="listInputs Output"/>
+	</outputs>
+
+	<help>
+		This tool can facilate the the chargement for DESeq tool.
+		Example:
+		From group1, we have input1.
+		From group2, we have input2.
+		This tool will give us a list like:
+		fileID=1	input1	group1
+		fileID=2	input2	group2
+		Where the value of fileID is unique for each input file. 
+	</help>
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadHTSeqResultFiles.py	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,46 @@
+#!/usr/bin/env python
+
+"""
+Yufei LUO
+"""
+
+
+
+import optparse, sys
+
+
+def __main__():
+    #Parse Command Line
+    parser = optparse.OptionParser()
+    parser.add_option('-i', '--inputs', dest='inputFiles', default=None, help='several input files. (seperated by @ or @@' )
+    parser.add_option( '-o', '--output', dest='outputFile', default=None, help='The output list of HTSeq results files(.tabular) on txt format.' )
+    ( options, args ) = parser.parse_args()
+
+    
+    out = open(options.outputFile, 'w')
+    out.write("label\tfiles\tgroup\n")
+    if options.inputFiles == None:
+        raise Exception, 'input file name is not defined!'
+    
+    groupCount = 1
+    fileCount = 0        
+    
+    inputFiles = sys.argv[6:]
+    print '\n\nthe length of inputfiles is : %s \n' % len(inputFiles)
+    i = 0
+    while i < (len(inputFiles)-1):
+        if inputFiles[i] == "@":
+            i += 1
+            fileCount = 1
+            groupCount += 1
+            out.write("Group%s_%s\t%s\t%s\n" % (groupCount, fileCount, inputFiles[i], groupCount))
+        else:
+	    fileCount += 1
+            out.write("Group%s_%s\t%s\t%s\n" % (groupCount, fileCount, inputFiles[i], groupCount))
+        i += 1
+           
+    out.close()   
+    
+        
+
+if __name__=="__main__": __main__()
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadHTSeqResultFiles.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,29 @@
+<tool id="load_HTSeqResultFiles" name="load HTSeqResultFiles" >
+  <description>To load several HTSeq result files from different conditions.</description>
+  <command interpreter="python"> loadHTSeqResultFiles.py -o $htseqRes_out
+	-i
+	#for $i in $condition_groups
+	#for $j in $i.replicates
+	$j.tabular_file
+	#end for
+	@
+	#end for
+
+</command>
+  <inputs>
+	  <repeat name="condition_groups" title="Condition group" min="2">
+   	  <repeat name="replicates" title="Replicate">
+	    <param name="tabular_file" format="tabular" type="data" label="TABULAR file."/>
+          </repeat>
+     	  </repeat>
+  </inputs>
+
+  <outputs>
+    <data format="txt" name="htseqRes_out" label="HTSeq result files" help="This program gives you a list of files you choose for the following data analysis."/>
+
+</outputs>
+<help>
+</help>
+
+</tool>
+
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadMultiFastqFiles.py	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,76 @@
+#!/usr/bin/env python
+
+"""
+Yufei LUO
+"""
+
+
+
+import optparse, sys
+
+
+def __main__():
+    #Parse Command Line
+    parser = optparse.OptionParser()
+    parser.add_option('-i', '--inputs', dest='inputFiles', default=None, help='several input files. (seperated by @ or @@' )
+    parser.add_option( '-o', '--output', dest='outputSingleFile', default=None, help='The output list of fastq files on txt format.' )
+    parser.add_option( '', '--pairedEnd', dest='outputPaireFile', default=None, help='paired end option help to upload the corresponding paired end complementary fastq files' )
+    ( options, args ) = parser.parse_args()
+
+    
+
+    if options.outputSingleFile == None: 
+        raise Exception, 'OutSingleFile txt file name is not defined!'
+    else:
+        outSingle = open(options.outputSingleFile, 'w')
+    
+    if options.inputFiles == None:
+        raise Exception, 'input file name is not defined!'
+    
+    groupCount = 1
+    fileCount = 0        
+    
+    if options.outputPaireFile == None:
+        inputFiles = sys.argv[4:]
+        i = 0
+        while i < (len(inputFiles)-1):
+	    if inputFiles[i] == "@":
+                i += 1
+                fileCount = 1
+                groupCount += 1
+                outSingle.write("Group%s_%s\t%s\n" % (groupCount, fileCount, inputFiles[i]))
+                
+            else:
+                fileCount += 1
+                outSingle.write("Group%s_%s\t%s\n" % (groupCount, fileCount, inputFiles[i]))
+                
+            i += 1
+    else:
+        inputFiles = sys.argv[6:]
+        print '\n\nthe length of inputfiles is : %s \n' % len(inputFiles)
+        outPaire = open(options.outputPaireFile, 'w')
+        i = 0
+        while i < (len(inputFiles)-1):
+            if inputFiles[i] == "@@":
+                i += 1
+                outPaire.write("Group%s_%s\t%s\n" % (groupCount, fileCount, inputFiles[i]))
+            elif inputFiles[i] == "@":
+                i += 1
+                fileCount = 1
+                groupCount += 1
+                outSingle.write("Group%s_%s\t%s\n" % (groupCount, fileCount, inputFiles[i]))
+            else:
+                fileCount += 1
+                outSingle.write("Group%s_%s\t%s\n" % (groupCount, fileCount, inputFiles[i]))
+                
+            i += 1
+                
+        
+        
+        outPaire.close()
+           
+    outSingle.close()   
+    
+        
+
+if __name__=="__main__": __main__()
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadMultiFastqFiles.sh	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,24 @@
+#!/bin/bash
+
+OUTFile=${1}
+shift
+groupCount=1
+replicateNumber=1
+
+arrayZ=( $@ )
+#remove the last symble '@' given by commande line
+unset arrayZ[${#arrayZ[@]}-1]
+
+for FILE in ${arrayZ[@]}
+do
+	#if a new group of fastq, re-count the replicateNumber
+	if echo $FILE | grep -q "@" 
+	then 
+		groupCount=$(($groupCount + 1))
+		replicateNumber=1
+	else
+		echo -e "Group${groupCount}_${replicateNumber}\t${FILE}" >>${OUTFile}
+		replicateNumber=$(($replicateNumber + 1))
+  	fi
+done
+
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/loadMultiFastqFiles.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,75 @@
+<tool id="load_multiFASTQFiles" name="load_multiFASTQfiles" >
+  <description>To load several FASTQ files from different conditions.</description>
+  <command interpreter="python"> loadMultiFastqFiles.py -o $multiFASTQfiles_out
+#if $single_end_paired_end.mapping_mode == 'single':
+	-i
+	#for $i in $single_end_paired_end.condition_groups
+	#for $j in $i.replicates
+	$j.fastq_file
+	#end for
+	@
+	#end for
+
+#elif $single_end_paired_end.mapping_mode == 'paired':
+
+	--pairedEnd $multiFASTQfiles_paired_end_out
+	-i
+	#for $i in $single_end_paired_end.condition_groups
+	#for $j in $i.replicates
+	$j.fastq_file
+	@@
+	$j.fastq_paired_end_file
+	#end for
+	@
+	#end for
+#end if
+
+</command>
+  <inputs>
+		  <conditional name="single_end_paired_end">
+			   <param name="mapping_mode" type="select" label="The uploading fastq files for single-end or paired-end mapping mode.">
+				<option value="single">Single-End</option>
+				<option value="paired">Paire-End</option>
+			   </param>
+	           <when value="single">
+	  		<repeat name="condition_groups" title="Condition group" min="2">
+   		   	<repeat name="replicates" title="Replicate">
+		        <param name="fastq_file" format="fastq" type="data" label="FASTQ file. Can show the sequences quality."/>
+     		   </repeat>
+     		   </repeat>
+		   </when>
+		   <when value="paired">
+	  		<repeat name="condition_groups" title="Condition group" min="2">
+      		   	<repeat name="replicates" title="Replicate">
+		        <param name="fastq_file" format="fastq" type="data" label="FASTQ file. Can show the sequences quality."/>
+		        <param name="fastq_paired_end_file" format="fastq" type="data" label="fastq paired end complementary file" help="Add the corresponding paired end file for paired end mapping"/>
+     		   </repeat>
+     		   </repeat>
+		   </when>
+	
+ 		   </conditional>
+  </inputs>
+
+  <outputs>
+    <data format="txt" name="multiFASTQfiles_out" label="loadMultiFASTQFiles result" help="This program gives you a list of files you choose for the following data analysis."/>
+    <data format="txt" name="multiFASTQfiles_paired_end_out" label="loadMultiFASTQFiles for paired end result" help="This program gives you a list of files you choose for the following data analysis.">
+	    <filter>(single_end_paired_end['mapping_mode']=='paired')</filter>
+
+    </data>
+</outputs>
+<help>
+	**This tool is to help upload several data for differential expression pipeline. Before click 'Execute', you should Click** Ctrl + here_ **first to open the pipeline in a new page.**
+
+	.. _here: http://127.0.0.1:8085/u/yufei-luo/w/differentialexpressiondeseq-with-replicates 
+</help>
+
+</tool>
+
+
+
+
+
+
+
+
+
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/tophat_parallel.py	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,327 @@
+#!/usr/bin/env python
+"""
+Yufei LUO
+"""
+
+import optparse, os, shutil, subprocess, sys, tempfile, fileinput, tarfile,random
+
+def stop_err( msg ):
+    sys.stderr.write( "%s\n" % msg )
+    sys.exit()
+
+def toTar(tarFileName, accepted_hits_outputNames):
+    fileName = os.path.splitext(tarFileName)[0]
+    fileNameBaseName = os.path.basename(fileName)
+    dir = os.path.dirname(tarFileName)    
+    tfile = tarfile.open(tarFileName + ".tmp.tar", "w")
+    currentPath = os.getcwd()
+    os.chdir(dir)
+    for file in accepted_hits_outputNames:
+        relativeFileName = os.path.basename(file)
+        tfile.add(relativeFileName)
+    os.system("mv %s %s" % (tarFileName + ".tmp.tar", tarFileName))
+    tfile.close()
+    os.chdir(currentPath)
+    
+
+def __main__():
+    #Parse Command Line
+    parser = optparse.OptionParser()
+    parser.add_option('-o', '--outputTxtFile', dest='outputTxtFile', help='for Differential expression analysis pipeline, new output option gives a txt output containing the list of mapping results.')
+    parser.add_option('-t', '--tar', dest='outputTar', default=None, help='output all accepted hits results in a tar file.' )
+    parser.add_option( '-p', '--num-threads', dest='num_threads', help='Use this many threads to align reads. The default is 1.' )
+    parser.add_option( '-C', '--color-space', dest='color_space', action='store_true', help='This indicates color-space data' )
+    parser.add_option( '-J', '--junctions-output', dest='junctions_output_file', default='junctions_output.bed', help='Junctions output file; formate is BED.' )
+    parser.add_option( '-H', '--hits-output', dest='accepted_hits_output_file', default='hits_output_%s.bam' % random.randrange(0, 10000), help='Accepted hits output file; formate is BAM.' )
+    parser.add_option( '', '--own-file', dest='own_file', help='' )
+    parser.add_option( '-D', '--indexes-path', dest='index_path', help='Indexes directory; location of .ebwt and .fa files.' )
+    parser.add_option( '-r', '--mate-inner-dist', dest='mate_inner_dist', help='This is the expected (mean) inner distance between mate pairs. \
+                                                                                For, example, for paired end runs with fragments selected at 300bp, \
+                                                                                where each end is 50bp, you should set -r to be 200. There is no default, \
+                                                                                and this parameter is required for paired end runs.')
+    parser.add_option( '', '--mate-std-dev', dest='mate_std_dev', help='Standard deviation of distribution on inner distances between male pairs.' )
+    parser.add_option( '-a', '--min-anchor-length', dest='min_anchor_length', 
+                        help='The "anchor length". TopHat will report junctions spanned by reads with at least this many bases on each side of the junction.' )
+    parser.add_option( '-m', '--splice-mismatches', dest='splice_mismatches', help='The maximum number of mismatches that can appear in the anchor region of a spliced alignment.' )
+    parser.add_option( '-i', '--min-intron-length', dest='min_intron_length', 
+                        help='The minimum intron length. TopHat will ignore donor/acceptor pairs closer than this many bases apart.' )
+    parser.add_option( '-I', '--max-intron-length', dest='max_intron_length', 
+                        help='The maximum intron length. When searching for junctions ab initio, TopHat will ignore donor/acceptor pairs farther than this many bases apart, except when such a pair is supported by a split segment alignment of a long read.' )
+    parser.add_option( '-F', '--junction_filter', dest='junction_filter', help='Filter out junctions supported by too few alignments (number of reads divided by average depth of coverage)' )
+    parser.add_option( '-g', '--max_multihits', dest='max_multihits', help='Maximum number of alignments to be allowed' )
+    parser.add_option( '', '--initial-read-mismatches', dest='initial_read_mismatches', help='Number of mismatches allowed in the initial read mapping' )
+    parser.add_option( '', '--seg-mismatches', dest='seg_mismatches', help='Number of mismatches allowed in each segment alignment for reads mapped independently' )
+    parser.add_option( '', '--seg-length', dest='seg_length', help='Minimum length of read segments' )
+    parser.add_option( '', '--library-type', dest='library_type', help='TopHat will treat the reads as strand specific. Every read alignment will have an XS attribute tag. Consider supplying library type options below to select the correct RNA-seq protocol.' )
+    parser.add_option( '', '--allow-indels', action="store_true", help='Allow indel search. Indel search is disabled by default.(Not used since version 1.3.0)' )
+    parser.add_option( '', '--max-insertion-length', dest='max_insertion_length', help='The maximum insertion length. The default is 3.' )
+    parser.add_option( '', '--max-deletion-length', dest='max_deletion_length', help='The maximum deletion length. The default is 3.' )
+
+    # Options for supplying own junctions
+    parser.add_option( '-G', '--GTF', dest='gene_model_annotations', help='Supply TopHat with a list of gene model annotations. \
+                                                                           TopHat will use the exon records in this file to build \
+                                                                           a set of known splice junctions for each gene, and will \
+                                                                           attempt to align reads to these junctions even if they \
+                                                                           would not normally be covered by the initial mapping.')
+    parser.add_option( '-j', '--raw-juncs', dest='raw_juncs', help='Supply TopHat with a list of raw junctions. Junctions are \
+                                                                    specified one per line, in a tab-delimited format. Records \
+                                                                    look like: <chrom> <left> <right> <+/-> left and right are \
+                                                                    zero-based coordinates, and specify the last character of the \
+                                                                    left sequenced to be spliced to the first character of the right \
+                                                                    sequence, inclusive.')
+    parser.add_option( '', '--no-novel-juncs', action="store_true", dest='no_novel_juncs', help="Only look for junctions indicated in the \
+                                                                                            supplied GFF file. (ignored without -G)")
+    parser.add_option( '', '--no-novel-indels', action="store_true", dest='no_novel_indels', help="Skip indel search. Indel search is enabled by default.")
+    # Types of search.
+    parser.add_option( '', '--microexon-search', action="store_true", dest='microexon_search', help='With this option, the pipeline will attempt to find alignments incident to microexons. Works only for reads 50bp or longer.')
+    parser.add_option( '', '--closure-search', action="store_true", dest='closure_search', help='Enables the mate pair closure-based search for junctions. Closure-based search should only be used when the expected inner distance between mates is small (<= 50bp)')
+    parser.add_option( '', '--no-closure-search', action="store_false", dest='closure_search' )
+    parser.add_option( '', '--coverage-search', action="store_true", dest='coverage_search', help='Enables the coverage based search for junctions. Use when coverage search is disabled by default (such as for reads 75bp or longer), for maximum sensitivity.')
+    parser.add_option( '', '--no-coverage-search', action="store_false", dest='coverage_search' )
+    parser.add_option( '', '--min-segment-intron', dest='min_segment_intron', help='Minimum intron length that may be found during split-segment search' )
+    parser.add_option( '', '--max-segment-intron', dest='max_segment_intron', help='Maximum intron length that may be found during split-segment search' )
+    parser.add_option( '', '--min-closure-exon', dest='min_closure_exon', help='Minimum length for exonic hops in potential splice graph' )
+    parser.add_option( '', '--min-closure-intron', dest='min_closure_intron', help='Minimum intron length that may be found during closure search' )
+    parser.add_option( '', '--max-closure-intron', dest='max_closure_intron', help='Maximum intron length that may be found during closure search' )
+    parser.add_option( '', '--min-coverage-intron', dest='min_coverage_intron', help='Minimum intron length that may be found during coverage search' )
+    parser.add_option( '', '--max-coverage-intron', dest='max_coverage_intron', help='Maximum intron length that may be found during coverage search' )
+
+    # Wrapper options.
+    parser.add_option( '-1', '--input1', dest='input1', help='A list of the (forward or single-end) reads files of Sanger FASTQ format, txt format' )
+    #parser.add_option( '-1', '--input1', dest='input1', help='The (forward or single-end) reads file in Sanger FASTQ format' )
+    #parser.add_option( '-2', '--input2', dest='input2', help='The reverse reads file in Sanger FASTQ format' )
+    parser.add_option( '-2', '--input2', dest='input2', help='The list of reverse reads file in Sanger FASTQ format' )
+    parser.add_option( '', '--single-paired', dest='single_paired', help='' )
+    parser.add_option( '', '--settings', dest='settings', help='' )
+
+    (options, args) = parser.parse_args()
+
+    # output version # of tool
+    try:
+        tmp_files = []
+        tmp = tempfile.NamedTemporaryFile().name
+        tmp_files.append(tmp)
+        tmp_stdout = open( tmp, 'wb' )
+        proc = subprocess.Popen( args='tophat -v', shell=True, stdout=tmp_stdout )
+        tmp_stdout.close()
+        returncode = proc.wait()
+        stdout = open( tmp_stdout.name, 'rb' ).readline().strip()
+        if stdout:
+            sys.stdout.write( '%s\n' % stdout )
+        else:
+            raise Exception
+    except:
+        sys.stdout.write( 'Could not determine Tophat version\n' )
+
+    # Color or base space
+    space = ''
+    if options.color_space:
+        space = '-C'
+
+
+    #reads = options.input1
+    file = open(options.input1,"r")
+    lines = file.readlines()
+    inputFileNames = []
+    accepted_hits_outputNames = []
+    outputName = options.outputTxtFile
+    resDirName = os.path.dirname(outputName) + '/'
+    out = open(outputName, "w")
+    for line in lines:
+        tab = line.split()
+        inputFileNames.append(tab[1])
+        aHitOutName = resDirName + tab[0] + '_' + options.accepted_hits_output_file
+        accepted_hits_outputNames.append(aHitOutName) 
+        out.write(tab[0] + '\t' + aHitOutName + '\n')
+    file.close()
+    out.close()
+    
+    if options.input2:
+        revFile = open(options.input2,"r")
+        lines = revFile.readlines()
+        inputRevFileNames = []
+        for line in lines:
+            revTab = line.split()
+            inputRevFileNames.append(revTab[1])
+        revFile.close()
+
+    
+    # Creat bowtie index if necessary.
+    tmp_index_dirs = []
+    index_paths = []
+    tmp_index_dir = tempfile.mkdtemp()
+    tmp_index_dirs.append(tmp_index_dir)
+    if options.own_file:
+        index_path = os.path.join( tmp_index_dir, '.'.join( os.path.split( options.own_file )[1].split( '.' )[:-1] ) )
+        index_paths.append(index_path)
+        try:
+            os.link( options.own_file, index_path + '.fa' )
+        except:
+            # Tophat prefers (but doesn't require) fasta file to be in same directory, with .fa extension
+            pass
+        cmd_index = 'bowtie-build %s -f %s %s' % ( space, options.own_file, index_path )
+        try:
+            tmp = tempfile.NamedTemporaryFile( dir=tmp_index_dir ).name
+            tmp_stderr = open( tmp, 'wb' )
+            proc = subprocess.Popen( args=cmd_index, shell=True, cwd=tmp_index_dir, stderr=tmp_stderr.fileno() )
+            returncode = proc.wait()
+            tmp_stderr.close()
+            # get stderr, allowing for case where it's very large
+            tmp_stderr = open( tmp, 'rb' )
+            stderr = ''
+            buffsize = 1048576
+            try:
+                while True:
+                    stderr += tmp_stderr.read( buffsize )
+                    if not stderr or len( stderr ) % buffsize != 0:
+                        break
+            except OverflowError:
+                pass
+            tmp_stderr.close()
+            if returncode != 0:
+                raise Exception, stderr
+        except Exception, e:
+            if os.path.exists( tmp_index_dir ):
+                shutil.rmtree( tmp_index_dir )
+            stop_err( 'Error indexing reference sequence\n' + str( e ) )
+    else:
+        for file in inputFileNames:
+            tmp_index_dir = tempfile.mkdtemp()
+            index_path = tmp_index_dir + '/' + os.path.basename(file).split('.')[0]
+            index_paths.append(index_path)
+            tmp_index_dirs.append(tmp_index_dir)
+
+    
+    
+    # Build tophat command.
+    cmds = []
+    # for inputFileName in inputFileNames:
+    for i in range(len(inputFileNames)):
+        cmd = 'tophat %s %s %s '
+        input_files = inputFileNames[i]
+        if options.input2:
+            input_files += ' ' + inputRevFileNames[i]
+        opts = '-p %s %s' % ( options.num_threads, space )
+        if options.single_paired == 'paired':
+            opts += '-r %s ' % options.mate_inner_dist
+        if options.settings == 'preSet':
+            if options.own_file:
+                cmd = cmd % ( opts, index_paths[0], input_files ) #here add paired end file
+            else:
+                cmd = cmd % ( opts, index_paths[i], input_files ) #here add paired end file
+        else:
+            try:
+                if int( options.min_anchor_length ) >= 3:
+                    opts += '-a %s ' % options.min_anchor_length
+                else:
+                    raise Exception, 'Minimum anchor length must be 3 or greater'
+                opts += '-m %s ' % options.splice_mismatches
+                opts += '-i %s ' % options.min_intron_length
+                opts += '-I %s ' % options.max_intron_length
+                if float( options.junction_filter ) != 0.0:
+                    opts += '-F %s ' % options.junction_filter
+                opts += '-g %s ' % options.max_multihits
+                # Custom junctions options.
+                if options.gene_model_annotations:
+                    opts += '-G %s ' % options.gene_model_annotations
+                if options.raw_juncs:
+                    opts += '-j %s ' % options.raw_juncs
+                if options.no_novel_juncs:
+                    opts += '--no-novel-juncs '
+                if options.library_type:
+                    opts += '--library-type %s ' % options.library_type
+                if options.no_novel_indels:
+                    opts += '--no-novel-indels '
+                else:
+                    if options.max_insertion_length:
+                        opts += '--max-insertion-length %i ' % int( options.max_insertion_length )
+                    if options.max_deletion_length:
+                        opts += '--max-deletion-length %i ' % int( options.max_deletion_length )
+                    # Max options do not work for Tophat v1.2.0, despite documentation to the contrary. (Fixed in version 1.3.1)
+                    # need to warn user of this fact
+                    #sys.stdout.write( "Max insertion length and max deletion length options don't work in Tophat v1.2.0\n" )
+    
+                # Search type options.
+                if options.coverage_search:
+                    opts += '--coverage-search --min-coverage-intron %s --max-coverage-intron %s ' % ( options.min_coverage_intron, options.max_coverage_intron )
+                else:
+                    opts += '--no-coverage-search '
+                if options.closure_search:
+                    opts += '--closure-search --min-closure-exon %s --min-closure-intron %s --max-closure-intron %s '  % ( options.min_closure_exon, options.min_closure_intron, options.max_closure_intron ) 
+                else:
+                    opts += '--no-closure-search '
+                if options.microexon_search:
+                    opts += '--microexon-search '
+                if options.single_paired == 'paired':
+                    opts += '--mate-std-dev %s ' % options.mate_std_dev
+                if options.initial_read_mismatches:
+                    opts += '--initial-read-mismatches %d ' % int( options.initial_read_mismatches )
+                if options.seg_mismatches:
+                    opts += '--segment-mismatches %d ' % int( options.seg_mismatches )
+                if options.seg_length:
+                    opts += '--segment-length %d ' % int( options.seg_length )
+                if options.min_segment_intron:
+                    opts += '--min-segment-intron %d ' % int( options.min_segment_intron )
+                if options.max_segment_intron:
+                    opts += '--max-segment-intron %d ' % int( options.max_segment_intron )
+                if options.own_file:
+                    cmd = cmd % ( opts, index_paths[0], input_files ) #here to add paired end file
+                else:
+                    cmd = cmd % ( opts, index_paths[i], input_files ) #here to add paired end file
+            except Exception, e:
+                # Clean up temp dirs
+                if os.path.exists( tmp_index_dir ):
+                    shutil.rmtree( tmp_index_dir )
+                stop_err( 'Something is wrong with the alignment parameters and the alignment could not be run\n' + str( e ) )
+                
+        cmds.append(cmd)
+
+    # Run the command line for each file.
+    for i in range(len(cmds)):
+        try:
+            tmp_out = tempfile.NamedTemporaryFile().name
+            tmp_files.append(tmp_out)
+            tmp_stdout = open( tmp_out, 'wb' )
+            tmp_err = tempfile.NamedTemporaryFile().name
+            tmp_files.append(tmp_err)
+            tmp_stderr = open( tmp_err, 'wb' )
+            proc = subprocess.Popen( args=cmds[i], shell=True, cwd=".", stdout=tmp_stdout, stderr=tmp_stderr )
+            returncode = proc.wait()
+            tmp_stderr.close()
+            # get stderr, allowing for case where it's very large
+            tmp_stderr = open( tmp_err, 'rb' )
+            stderr = ''
+            buffsize = 1048576
+            try:
+                while True:
+                    stderr += tmp_stderr.read( buffsize )
+                    if not stderr or len( stderr ) % buffsize != 0:
+                        break
+            except OverflowError:
+                pass
+            tmp_stdout.close()
+            tmp_stderr.close()
+            if returncode != 0:
+                raise Exception, stderr
+                
+            # Copy output files from tmp directory to specified files.
+            #shutil.copyfile( os.path.join( "tophat_out", "junctions.bed" ), junctions_outputNames[i] )
+            shutil.copyfile( os.path.join( "tophat_out", "accepted_hits.bam" ), accepted_hits_outputNames[i] )
+            # TODO: look for errors in program output.
+        except Exception, e:
+            stop_err( 'Error in tophat:\n' + str( e ) ) 
+
+    if options.outputTar != None:
+        toTar(options.outputTar, accepted_hits_outputNames)
+
+    
+    # Clean up temp dirs
+    for tmp_index_dir in tmp_index_dirs:
+        if os.path.exists( tmp_index_dir ):
+            shutil.rmtree( tmp_index_dir )
+
+    for tmp in tmp_files:
+        os.remove(tmp)
+
+
+if __name__=="__main__": __main__()
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/tophat_parallel.xml	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,557 @@
+<tool id="tophat_parallel" name="Tophat parallel for Illumina" version="1.0.0">
+    <description>Find splice junctions using RNA-seq data, can have several input RNA-seq data.</description>
+    <version_command>tophat --version</version_command>
+    <requirements>
+        <requirement type="package">tophat</requirement>
+    </requirements>
+    <command interpreter="python">
+	    tophat_parallel.py
+            ## Change this to accommodate the number of threads you have available.
+            --num-threads="4"
+
+            ## Provide outputs.
+            -o $outputFileName
+            ##--junctions-output=$junctions
+            ##--hits-output=$accepted_hits
+
+            ## Handle reference file.
+                --own-file=$refGenomeSource.ownFile
+
+            ## Are reads single-end or paired?
+            --single-paired=$singlePaired.sPaired
+
+            ## First input file always required.
+            --input1=$input1
+
+            ## Set params based on whether reads are single-end or paired.
+            #if $singlePaired.sPaired == "single":
+                --settings=$singlePaired.sParams.sSettingsType
+                #if $singlePaired.sParams.sSettingsType == "full":
+                    -a $singlePaired.sParams.anchor_length
+                    -m $singlePaired.sParams.splice_mismatches
+                    -i $singlePaired.sParams.min_intron_length
+                    -I $singlePaired.sParams.max_intron_length
+                    -F $singlePaired.sParams.junction_filter
+                    -g $singlePaired.sParams.max_multihits
+                    --min-segment-intron $singlePaired.sParams.min_segment_intron
+                    --max-segment-intron $singlePaired.sParams.max_segment_intron
+                    --initial-read-mismatches=$singlePaired.sParams.initial_read_mismatches
+                    --seg-mismatches=$singlePaired.sParams.seg_mismatches
+                    --seg-length=$singlePaired.sParams.seg_length
+                    --library-type=$singlePaired.sParams.library_type
+                    
+                    ## Indel search.
+                    #if $singlePaired.sParams.indel_search.allow_indel_search == "Yes":
+                        ## --allow-indels
+                        --max-insertion-length $singlePaired.sParams.indel_search.max_insertion_length
+                        --max-deletion-length $singlePaired.sParams.indel_search.max_deletion_length
+                    #else:
+                        --no-novel-indels
+                    #end if
+
+                    ## Supplying junctions parameters.
+                    #if $singlePaired.sParams.own_junctions.use_junctions == "Yes":
+                        #if $singlePaired.sParams.own_junctions.gene_model_ann.use_annotations == "Yes":
+                            -G $singlePaired.sParams.own_junctions.gene_model_ann.gene_annotation_model
+                        #end if
+                        #if $singlePaired.sParams.own_junctions.raw_juncs.use_juncs == "Yes":
+                            -j $singlePaired.sParams.own_junctions.raw_juncs.raw_juncs
+                        #end if
+                        ## TODO: No idea why a string cast is necessary, but it is:
+                        #if str($singlePaired.sParams.own_junctions.no_novel_juncs) == "Yes":
+                            --no-novel-juncs
+                        #end if
+                    #end if
+
+                    #if $singlePaired.sParams.closure_search.use_search == "Yes":
+                        --closure-search
+                        --min-closure-exon $singlePaired.sParams.closure_search.min_closure_exon
+                        --min-closure-intron $singlePaired.sParams.closure_search.min_closure_intron
+                        --max-closure-intron $singlePaired.sParams.closure_search.max_closure_intron
+                    #else:
+                        --no-closure-search
+                    #end if
+                    #if $singlePaired.sParams.coverage_search.use_search == "Yes":
+                        --coverage-search
+                        --min-coverage-intron $singlePaired.sParams.coverage_search.min_coverage_intron
+                        --max-coverage-intron $singlePaired.sParams.coverage_search.max_coverage_intron
+                    #else:
+                        --no-coverage-search
+                    #end if
+                    ## TODO: No idea why the type conversion is necessary, but it seems to be.
+                    #if str($singlePaired.sParams.microexon_search) == "Yes":
+                        --microexon-search
+                    #end if
+                #end if
+            #else:
+                --input2=$singlePaired.input2
+                -r $singlePaired.mate_inner_distance
+                --settings=$singlePaired.pParams.pSettingsType
+                #if $singlePaired.pParams.pSettingsType == "full":
+                    --mate-std-dev=$singlePaired.pParams.mate_std_dev
+                    -a $singlePaired.pParams.anchor_length
+                    -m $singlePaired.pParams.splice_mismatches
+                    -i $singlePaired.pParams.min_intron_length
+                    -I $singlePaired.pParams.max_intron_length
+                    -F $singlePaired.pParams.junction_filter
+                    -g $singlePaired.pParams.max_multihits
+                    --min-segment-intron $singlePaired.pParams.min_segment_intron
+                    --max-segment-intron $singlePaired.pParams.max_segment_intron
+                    --initial-read-mismatches=$singlePaired.pParams.initial_read_mismatches
+                    --seg-mismatches=$singlePaired.pParams.seg_mismatches
+                    --seg-length=$singlePaired.pParams.seg_length
+                    --library-type=$singlePaired.pParams.library_type
+                    
+                    ## Indel search.
+                    #if $singlePaired.pParams.indel_search.allow_indel_search == "Yes":
+                        ## --allow-indels
+                        --max-insertion-length $singlePaired.pParams.indel_search.max_insertion_length
+                        --max-deletion-length $singlePaired.pParams.indel_search.max_deletion_length
+                    #else:
+                        --no-novel-indels
+                    #end if
+
+                    ## Supplying junctions parameters.
+                    #if $singlePaired.pParams.own_junctions.use_junctions == "Yes":
+                        #if $singlePaired.pParams.own_junctions.gene_model_ann.use_annotations == "Yes":
+                            -G $singlePaired.pParams.own_junctions.gene_model_ann.gene_annotation_model
+                        #end if
+                        #if $singlePaired.pParams.own_junctions.raw_juncs.use_juncs == "Yes":
+                            -j $singlePaired.pParams.own_junctions.raw_juncs.raw_juncs
+                        #end if
+                        ## TODO: No idea why type cast is necessary, but it is:
+                        #if str($singlePaired.pParams.own_junctions.no_novel_juncs) == "Yes":
+                            --no-novel-juncs
+                        #end if
+                    #end if
+
+                    #if $singlePaired.pParams.closure_search.use_search == "Yes":
+                        --closure-search
+                        --min-closure-exon $singlePaired.pParams.closure_search.min_closure_exon
+                        --min-closure-intron $singlePaired.pParams.closure_search.min_closure_intron
+                        --max-closure-intron $singlePaired.pParams.closure_search.max_closure_intron
+                    #else:
+                        --no-closure-search
+                    #end if 
+                    #if $singlePaired.pParams.coverage_search.use_search == "Yes":
+                        --coverage-search
+                        --min-coverage-intron $singlePaired.pParams.coverage_search.min_coverage_intron
+                        --max-coverage-intron $singlePaired.pParams.coverage_search.max_coverage_intron
+                    #else:
+                        --no-coverage-search
+                    #end if
+                    ## TODO: No idea why the type conversion is necessary, but it seems to be.
+                    #if str ($singlePaired.pParams.microexon_search) == "Yes":
+                        --microexon-search
+                   #end if
+                #end if
+            #end if
+    	$tar $outputTarFile
+    </command>
+    <inputs>
+        <param format="txt" name="input1" type="data" label="RNA-Seq FASTQ file" help="Please identify a txt input file, which contains a list of fastqsanger files. Nucleotide-space: Must have Sanger-scaled quality values with ASCII offset 33. " />
+        <param name="ownFile" type="data" format="fasta" metadata_name="dbkey" label="Select the reference genome" />
+        <conditional name="singlePaired">
+            <param name="sPaired" type="select" label="Is this library mate-paired?">
+              <option value="single">Single-end</option>
+              <option value="paired">Paired-end</option>
+            </param>
+            <when value="single">
+              <conditional name="sParams">
+                <param name="sSettingsType" type="select" label="TopHat settings to use" help="You can use the default settings or set custom values for any of Tophat's parameters.">
+                  <option value="preSet">Use Defaults</option>
+                  <option value="full">Full parameter list</option>
+                </param>
+                <when value="preSet" />
+                <!-- Full/advanced params. -->
+                <when value="full">
+                  <param name="library_type" type="select" label="Library Type" help="TopHat will treat the reads as strand specific. Every read alignment will have an XS attribute tag. Consider supplying library type options below to select the correct RNA-seq protocol.">
+                      <option value="fr-unstranded">FR Unstranded</option>
+                      <option value="fr-firststrand">FR First Strand</option>
+                      <option value="fr-secondstrand">FR Second Strand</option>
+                  </param>
+                  <param name="anchor_length" type="integer" value="8" label="Anchor length (at least 3)" help="Report junctions spanned by reads with at least this many bases on each side of the junction." />
+                  <param name="splice_mismatches" type="integer" value="0" label="Maximum number of mismatches that can appear in the anchor region of spliced alignment" />
+                  <param name="min_intron_length" type="integer" value="70" label="The minimum intron length" help="TopHat will ignore donor/acceptor pairs closer than this many bases apart." />
+                  <param name="max_intron_length" type="integer" value="500000" label="The maximum intron length" help="When searching for junctions ab initio, TopHat will ignore donor/acceptor pairs farther than this many bases apart, except when such a pair is supported by a split segment alignment of a long read." />
+                  <conditional name="indel_search">
+                      <param name="allow_indel_search" type="select" label="Allow indel search">
+                          <option value="Yes">Yes</option>
+                          <option value="No">No</option>
+                      </param>
+                      <when value="No"/>
+                      <when value="Yes">
+                         <param name="max_insertion_length" type="integer" value="3" label="Max insertion length." help="The maximum insertion length." />
+                         <param name="max_deletion_length" type="integer" value="3" label="Max deletion length." help="The maximum deletion length." />
+                      </when>
+                  </conditional>
+                  <param name="junction_filter" type="float" value="0.15" label="Minimum isoform fraction: filter out junctions supported by too few alignments (number of reads divided by average depth of coverage)" help="0.0 to 1.0 (0 to turn off)" />
+                  <param name="max_multihits" type="integer" value="40" label="Maximum number of alignments to be allowed" />
+                  <param name="min_segment_intron" type="integer" value="50" label="Minimum intron length that may be found during split-segment (default) search" />
+                  <param name="max_segment_intron" type="integer" value="500000" label="Maximum intron length that may be found during split-segment (default) search" />
+                  <param name="initial_read_mismatches" type="integer" min="0" max="3" value="2" label="Number of mismatches allowed in the initial read mapping" />
+                  <param name="seg_mismatches" type="integer" min="0" max="3" value="2" label="Number of mismatches allowed in each segment alignment for reads mapped independently" />
+                  <param name="seg_length" type="integer" value="25" label="Minimum length of read segments" />
+                  
+                  <!-- Options for supplying own junctions. -->
+                  <conditional name="own_junctions">
+                      <param name="use_junctions" type="select" label="Use Own Junctions">
+                        <option value="No">No</option>
+                        <option value="Yes">Yes</option>
+                      </param>
+                      <when value="Yes">
+                          <conditional name="gene_model_ann">
+                             <param name="use_annotations" type="select" label="Use Gene Annotation Model">
+                                <option value="No">No</option>
+                                <option value="Yes">Yes</option>
+                             </param>
+                             <when value="No" />
+                             <when value="Yes">
+                               <param format="gtf" name="gene_annotation_model" type="data" label="Gene Model Annotations" help="TopHat will use the exon records in this file to build a set of known splice junctions for each gene, and will attempt to align reads to these junctions even if they would not normally be covered by the initial mapping."/>
+                             </when>
+                          </conditional>
+                          <conditional name="raw_juncs">
+                             <param name="use_juncs" type="select" label="Use Raw Junctions">
+                                <option value="No">No</option>
+                                <option value="Yes">Yes</option>
+                             </param>
+                             <when value="No" />
+                             <when value="Yes">
+                               <param format="interval" name="raw_juncs" type="data" label="Raw Junctions" help="Supply TopHat with a list of raw junctions. Junctions are specified one per line, in a tab-delimited format. Records look like: [chrom] [left] [right] [+/-] left and right are zero-based coordinates, and specify the last character of the left sequenced to be spliced to the first character of the right sequence, inclusive."/>
+                             </when>
+                          </conditional>
+                          <param name="no_novel_juncs" type="select" label="Only look for supplied junctions">
+                            <option value="No">No</option>
+                            <option value="Yes">Yes</option>
+                          </param>
+                      </when>
+                      <when value="No" />
+                  </conditional> <!-- /own_junctions -->
+                  
+                  <!-- Closure search. -->
+                  <conditional name="closure_search">
+                    <param name="use_search" type="select" label="Use Closure Search">
+                      <option value="No">No</option>
+                      <option value="Yes">Yes</option>
+                    </param>
+                    <when value="Yes">
+                        <param name="min_closure_exon" type="integer" value="50" label="During closure search for paired end reads, exonic hops in the potential splice graph must be at least this long. The default is 50." />
+                        <param name="min_closure_intron" type="integer" value="50" label="Minimum intron length that may be found during closure search" />
+                        <param name="max_closure_intron" type="integer" value="5000" label="Maximum intron length that may be found during closure search" />
+                    </when>
+                    <when value="No" />
+                  </conditional>
+                  <!-- Coverage search. -->
+                  <conditional name="coverage_search">
+                    <param name="use_search" type="select" label="Use Coverage Search">
+                        <option selected="true" value="Yes">Yes</option>
+                        <option value="No">No</option>
+                    </param>
+                    <when value="Yes">
+                        <param name="min_coverage_intron" type="integer" value="50" label="Minimum intron length that may be found during coverage search" />
+                        <param name="max_coverage_intron" type="integer" value="20000" label="Maximum intron length that may be found during coverage search" />
+                    </when>
+                    <when value="No" />
+                  </conditional>
+                  <param name="microexon_search" type="select" label="Use Microexon Search" help="With this option, the pipeline will attempt to find alignments incident to microexons. Works only for reads 50bp or longer.">
+                    <option value="No">No</option>
+                    <option value="Yes">Yes</option>
+                  </param>
+                </when>  <!-- full -->
+              </conditional>  <!-- sParams -->
+            </when>  <!--  single -->
+            <when value="paired">
+              <param format="txt" name="input2" type="data" label="list of RNA-Seq paired end FASTQ file" help="Nucleotide-space: Must have Sanger-scaled quality values with ASCII offset 33" />
+              <param name="mate_inner_distance" type="integer" value="20" label="Mean Inner Distance between Mate Pairs" />
+              <conditional name="pParams">
+                <param name="pSettingsType" type="select" label="TopHat settings to use" help="For most mapping needs use Commonly used settings. If you want full control use Full parameter list">
+                  <option value="preSet">Commonly used</option>
+                  <option value="full">Full parameter list</option>
+                </param>
+                <when value="preSet" />
+                <!-- Full/advanced params. -->
+                <when value="full">
+                    <param name="library_type" type="select" label="Library Type" help="TopHat will treat the reads as strand specific. Every read alignment will have an XS attribute tag. Consider supplying library type options below to select the correct RNA-seq protocol.">
+                        <option value="fr-unstranded">FR Unstranded</option>
+                        <option value="fr-firststrand">FR First Strand</option>
+                        <option value="fr-secondstrand">FR Second Strand</option>
+                    </param>
+                    <param name="mate_std_dev" type="integer" value="20" label="Std. Dev for Distance between Mate Pairs"  help="The standard deviation for the distribution on inner distances between mate pairs."/>
+                  <param name="anchor_length" type="integer" value="8" label="Anchor length (at least 3)" help="Report junctions spanned by reads with at least this many bases on each side of the junction." />
+                  <param name="splice_mismatches" type="integer" value="0" label="Maximum number of mismatches that can appear in the anchor region of spliced alignment" />
+                  <param name="min_intron_length" type="integer" value="70" label="The minimum intron length" help="TopHat will ignore donor/acceptor pairs closer than this many bases apart." />
+                  <param name="max_intron_length" type="integer" value="500000" label="The maximum intron length" help="When searching for junctions ab initio, TopHat will ignore donor/acceptor pairs farther than this many bases apart, except when such a pair is supported by a split segment alignment of a long read." />
+                  <conditional name="indel_search">
+                      <param name="allow_indel_search" type="select" label="Allow indel search">
+                          <option value="Yes">Yes</option>
+                          <option value="No">No</option>
+                      </param>
+                      <when value="No"/>
+                      <when value="Yes">
+                         <param name="max_insertion_length" type="integer" value="3" label="Max insertion length." help="The maximum insertion length." />
+                         <param name="max_deletion_length" type="integer" value="3" label="Max deletion length." help="The maximum deletion length." />
+                      </when>
+                  </conditional>
+                  <param name="junction_filter" type="float" value="0.15" label="Minimum isoform fraction: filter out junctions supported by too few alignments (number of reads divided by average depth of coverage)" help="0.0 to 1.0 (0 to turn off)" />
+                  <param name="max_multihits" type="integer" value="40" label="Maximum number of alignments to be allowed" />
+                  <param name="min_segment_intron" type="integer" value="50" label="Minimum intron length that may be found during split-segment (default) search" />
+                  <param name="max_segment_intron" type="integer" value="500000" label="Maximum intron length that may be found during split-segment (default) search" />
+                  <param name="initial_read_mismatches" type="integer" min="0" max="3" value="2" label="Number of mismatches allowed in the initial read mapping" />
+                  <param name="seg_mismatches" type="integer" min="0" max="3" value="2" label="Number of mismatches allowed in each segment alignment for reads mapped independently" />
+                  <param name="seg_length" type="integer" value="25" label="Minimum length of read segments" />
+                  <!-- Options for supplying own junctions. -->
+                  <conditional name="own_junctions">
+                      <param name="use_junctions" type="select" label="Use Own Junctions">
+                        <option value="No">No</option>
+                        <option value="Yes">Yes</option>
+                      </param>
+                      <when value="Yes">
+                          <conditional name="gene_model_ann">
+                             <param name="use_annotations" type="select" label="Use Gene Annotation Model">
+                                <option value="No">No</option>
+                                <option value="Yes">Yes</option>
+                             </param>
+                             <when value="No" />
+                             <when value="Yes">
+                               <param format="gtf" name="gene_annotation_model" type="data" label="Gene Model Annotations" help="TopHat will use the exon records in this file to build a set of known splice junctions for each gene, and will attempt to align reads to these junctions even if they would not normally be covered by the initial mapping."/>
+                             </when>
+                          </conditional>
+                          <conditional name="raw_juncs">
+                             <param name="use_juncs" type="select" label="Use Raw Junctions">
+                                <option value="No">No</option>
+                                <option value="Yes">Yes</option>
+                             </param>
+                             <when value="No" />
+                             <when value="Yes">
+                               <param format="interval" name="raw_juncs" type="data" label="Raw Junctions" help="Supply TopHat with a list of raw junctions. Junctions are specified one per line, in a tab-delimited format. Records look like: [chrom] [left] [right] [+/-] left and right are zero-based coordinates, and specify the last character of the left sequenced to be spliced to the first character of the right sequence, inclusive."/>
+                             </when>
+                          </conditional>
+                          <param name="no_novel_juncs" type="select" label="Only look for supplied junctions">
+                            <option value="No">No</option>
+                            <option value="Yes">Yes</option>
+                          </param>
+                      </when>
+                      <when value="No" />
+                  </conditional> <!-- /own_junctions -->
+                  
+                  <!-- Closure search. -->
+                  <conditional name="closure_search">
+                    <param name="use_search" type="select" label="Use Closure Search">
+                      <option value="No">No</option>
+                      <option value="Yes">Yes</option>
+                    </param>
+                    <when value="Yes">
+                        <param name="min_closure_exon" type="integer" value="50" label="During closure search for paired end reads, exonic hops in the potential splice graph must be at least this long. The default is 50." />
+                        <param name="min_closure_intron" type="integer" value="50" label="Minimum intron length that may be found during closure search" />
+                        <param name="max_closure_intron" type="integer" value="5000" label="Maximum intron length that may be found during closure search" />
+                    </when>
+                    <when value="No" />
+                  </conditional>
+                  <!-- Coverage search. -->
+                  <conditional name="coverage_search">
+                    <param name="use_search" type="select" label="Use Coverage Search">
+                        <option selected="true" value="Yes">Yes</option>
+                        <option value="No">No</option>
+                    </param>
+                    <when value="Yes">
+                        <param name="min_coverage_intron" type="integer" value="50" label="Minimum intron length that may be found during coverage search" />
+                        <param name="max_coverage_intron" type="integer" value="20000" label="Maximum intron length that may be found during coverage search" />
+                    </when>
+                    <when value="No" />
+                  </conditional>
+                  <param name="microexon_search" type="select" label="Use Microexon Search" help="With this option, the pipeline will attempt to find alignments incident to microexons. Works only for reads 50bp or longer.">
+                    <option value="No">No</option>
+                    <option value="Yes">Yes</option>
+                  </param>
+                </when>  <!-- full -->
+              </conditional>  <!-- pParams -->
+            </when>  <!-- paired -->
+        </conditional>
+	<param name="tar" type="boolean" truevalue="-t" falsevalue="" checked="false" label="tar option" help="This option creates a tar file for all out results."/>
+	</inputs>
+
+    <outputs>
+       <!-- <data format="bed" name="insertions" label="${tool.name} on ${on_string}: insertions" from_work_dir="tophat_out/insertions.bed">
+            <filter>
+                (
+                    ( ( 'sParams' in singlePaired ) and ( 'indel_search' in singlePaired['sParams'] ) and 
+                      ( singlePaired['sParams']['indel_search']['allow_indel_search'] == 'Yes' ) ) or 
+                    ( ( 'pParams' in singlePaired ) and ( 'indel_search' in singlePaired['pParams'] ) and 
+                      ( singlePaired['pParams']['indel_search']['allow_indel_search'] == 'Yes' ) )
+                )
+            </filter>
+            <actions>
+              <conditional name="refGenomeSource.genomeSource">
+                <when value="indexed">
+                  <action type="metadata" name="dbkey">
+                    <option type="from_data_table" name="tophat_indexes" column="1" offset="0">
+                      <filter type="param_value" column="0" value="#" compare="startswith" keep="False"/>
+                      <filter type="param_value" ref="refGenomeSource.index" column="0"/>
+                    </option>
+                  </action>
+                </when>
+                <when value="history">
+                  <action type="metadata" name="dbkey">
+                    <option type="from_param" name="refGenomeSource.ownFile" param_attribute="dbkey" />
+                  </action>
+                </when>
+              </conditional>
+            </actions>
+        </data>
+        <data format="bed" name="deletions" label="${tool.name} on ${on_string}: deletions" from_work_dir="tophat_out/deletions.bed">
+            <filter>
+                (
+                    ( ( 'sParams' in singlePaired ) and ( 'indel_search' in singlePaired['sParams'] ) and 
+                      ( singlePaired['sParams']['indel_search']['allow_indel_search'] == 'Yes' ) ) or 
+                    ( ( 'pParams' in singlePaired ) and ( 'indel_search' in singlePaired['pParams'] ) and 
+                      ( singlePaired['pParams']['indel_search']['allow_indel_search'] == 'Yes' ) )
+                )
+            </filter>
+            <actions>
+              <conditional name="refGenomeSource.genomeSource">
+                <when value="indexed">
+                  <action type="metadata" name="dbkey">
+                    <option type="from_data_table" name="tophat_indexes" column="1" offset="0">
+                      <filter type="param_value" column="0" value="#" compare="startswith" keep="False"/>
+                      <filter type="param_value" ref="refGenomeSource.index" column="0"/>
+                    </option>
+                  </action>
+                </when>
+                <when value="history">
+                  <action type="metadata" name="dbkey">
+                    <option type="from_param" name="refGenomeSource.ownFile" param_attribute="dbkey" />
+                  </action>
+                </when>
+              </conditional>
+            </actions>
+        </data>
+        <data format="bed" name="junctions" label="${tool.name} on ${on_string}: splice junctions">
+            <actions>
+              <conditional name="refGenomeSource.genomeSource">
+                <when value="indexed">
+                  <action type="metadata" name="dbkey">
+                    <option type="from_data_table" name="tophat_indexes" column="1" offset="0">
+                      <filter type="param_value" column="0" value="#" compare="startswith" keep="False"/>
+                      <filter type="param_value" ref="refGenomeSource.index" column="0"/>
+                    </option>
+                  </action>
+                </when>
+                <when value="history">
+                  <action type="metadata" name="dbkey">
+                    <option type="from_param" name="refGenomeSource.ownFile" param_attribute="dbkey" />
+                  </action>
+                </when>
+              </conditional>
+            </actions>
+        </data>
+        <data format="bam" name="accepted_hits" label="${tool.name} on ${on_string}: accepted_hits">
+            <actions>
+              <conditional name="refGenomeSource.genomeSource">
+                <when value="indexed">
+                  <action type="metadata" name="dbkey">
+                    <option type="from_data_table" name="tophat_indexes" column="1" offset="0">
+                      <filter type="param_value" column="0" value="#" compare="startswith" keep="False"/>
+                      <filter type="param_value" ref="refGenomeSource.index" column="0"/>
+                    </option>
+                  </action>
+                </when>
+                <when value="history">
+                  <action type="metadata" name="dbkey">
+                    <option type="from_param" name="refGenomeSource.ownFile" param_attribute="dbkey" />
+                  </action>
+                </when>
+              </conditional>
+            </actions>
+        </data> -->
+        <data name="outputFileName" format="txt" label="[tophat_parallel] txt File"/>
+	<data name="outputTarFile" format="tar">
+		<filter>tar</filter>
+	</data>
+    </outputs>
+
+ 
+
+    <help>
+**Tophat Overview**
+
+TopHat_ is a fast splice junction mapper for RNA-Seq reads. It aligns RNA-Seq reads to mammalian-sized genomes using the ultra high-throughput short read aligner Bowtie, and then analyzes the mapping results to identify splice junctions between exons. Please cite: Trapnell, C., Pachter, L. and Salzberg, S.L. TopHat: discovering splice junctions with RNA-Seq. Bioinformatics 25, 1105-1111 (2009).        
+
+.. _Tophat: http://tophat.cbcb.umd.edu/
+        
+------
+
+**Know what you are doing**
+
+.. class:: warningmark
+
+There is no such thing (yet) as an automated gearshift in splice junction identification. It is all like stick-shift driving in San Francisco. In other words, running this tool with default parameters will probably not give you meaningful results. A way to deal with this is to **understand** the parameters by carefully reading the `documentation`__ and experimenting. Fortunately, Galaxy makes experimenting easy.
+
+.. __: http://tophat.cbcb.umd.edu/manual.html
+
+------
+
+**Input formats**
+
+Tophat accepts files in Sanger FASTQ format. Use the FASTQ Groomer to prepare your files.
+
+------
+
+**Outputs**
+
+Tophat produces two output files:
+
+- junctions -- A UCSC BED_ track of junctions reported by TopHat. Each junction consists of two connected BED blocks, where each block is as long as the maximal overhang of any read spanning the junction. The score is the number of alignments spanning the junction.
+- accepted_hits -- A list of read alignments in BAM_ format.
+
+.. _BED: http://genome.ucsc.edu/FAQ/FAQformat.html#format1
+.. _BAM: http://samtools.sourceforge.net/
+
+Two other possible outputs, depending on the options you choose, are insertions and deletions, both of which are in BED format.
+
+-------
+
+**Tophat settings**
+
+All of the options have a default value. You can change any of them. Some of the options in Tophat have been implemented here.
+
+------
+
+**Tophat parameter list**
+
+This is a list of implemented Tophat options::
+
+  -r                                This is the expected (mean) inner distance between mate pairs. For, example, for paired end runs with fragments 
+                                    selected at 300bp, where each end is 50bp, you should set -r to be 200. There is no default, and this parameter 
+                                    is required for paired end runs.
+  --mate-std-dev INT                The standard deviation for the distribution on inner distances between mate pairs. The default is 20bp.
+  -a/--min-anchor-length INT        The "anchor length". TopHat will report junctions spanned by reads with at least this many bases on each side of the junction. Note that individual spliced     
+                                    alignments may span a junction with fewer than this many bases on one side. However, every junction involved in spliced alignments is supported by at least one 
+                                    read with this many bases on each side. This must be at least 3 and the default is 8.
+  -m/--splice-mismatches INT        The maximum number of mismatches that may appear in the "anchor" region of a spliced alignment. The default is 0.
+  -i/--min-intron-length INT        The minimum intron length. TopHat will ignore donor/acceptor pairs closer than this many bases apart. The default is 70.
+  -I/--max-intron-length INT        The maximum intron length. When searching for junctions ab initio, TopHat will ignore donor/acceptor pairs farther than this many bases apart, except when such a pair is supported by a split segment alignment of a long read. The default is 500000.
+  -F/--min-isoform-fraction 0.0-1.0 TopHat filters out junctions supported by too few alignments. Suppose a junction spanning two exons, is supported by S reads. Let the average depth of coverage of 
+                                    exon A be D, and assume that it is higher than B. If S / D is less than the minimum isoform fraction, the junction is not reported. A value of zero disables the 
+                                    filter. The default is 0.15.
+  -g/--max-multihits INT            Instructs TopHat to allow up to this many alignments to the reference for a given read, and suppresses all alignments for reads with more than this many 
+                                    alignments. The default is 40.
+  -G/--GTF [GTF 2.2 file]           Supply TopHat with a list of gene model annotations. TopHat will use the exon records in this file to build a set of known splice junctions for each gene, and will attempt to align reads to these junctions even if they would not normally be covered by the initial mapping.
+  -j/--raw-juncs [juncs file]       Supply TopHat with a list of raw junctions. Junctions are specified one per line, in a tab-delimited format. Records look like: [chrom] [left] [right] [+/-], left and right are zero-based coordinates, and specify the last character of the left sequenced to be spliced to the first character of the right sequence, inclusive.
+  -no-novel-juncs                   Only look for junctions indicated in the supplied GFF file. (ignored without -G)
+  --no-closure-search               Disables the mate pair closure-based search for junctions. Currently, has no effect - closure search is off by default.
+  --closure-search                  Enables the mate pair closure-based search for junctions. Closure-based search should only be used when the expected inner distance between mates is small (about or less than 50bp)
+  --no-coverage-search              Disables the coverage based search for junctions.
+  --coverage-search                 Enables the coverage based search for junctions. Use when coverage search is disabled by default (such as for reads 75bp or longer), for maximum sensitivity.
+  --microexon-search                With this option, the pipeline will attempt to find alignments incident to microexons. Works only for reads 50bp or longer.
+  --butterfly-search                TopHat will use a slower but potentially more sensitive algorithm to find junctions in addition to its standard search. Consider using this if you expect that your experiment produced a lot of reads from pre-mRNA, that fall within the introns of your transcripts.
+  --segment-mismatches              Read segments are mapped independently, allowing up to this many mismatches in each segment alignment. The default is 2.
+  --segment-length                  Each read is cut up into segments, each at least this long. These segments are mapped independently. The default is 25.
+  --min-closure-exon                During closure search for paired end reads, exonic hops in the potential splice graph must be at least this long. The default is 50.
+  --min-closure-intron              The minimum intron length that may be found during closure search. The default is 50.
+  --max-closure-intron              The maximum intron length that may be found during closure search. The default is 5000.
+  --min-coverage-intron             The minimum intron length that may be found during coverage search. The default is 50.
+  --max-coverage-intron             The maximum intron length that may be found during coverage search. The default is 20000.
+  --min-segment-intron              The minimum intron length that may be found during split-segment search. The default is 50.
+  --max-segment-intron              The maximum intron length that may be found during split-segment search. The default is 500000.
+    </help>
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/DiffExpAnal/wrappGSNAP.py	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,79 @@
+#! /usr/bin/env python
+"""
+Yufei LUO
+"""
+
+
+import os, sys, subprocess,tempfile
+from optparse import OptionParser
+
+def stop_err(msg):
+    sys.stderr.write('%s\n' % msg)
+    sys.exit()
+
+def __main__():
+    #Parse Command Line
+    description = "GMAP/GSNAP version:2012-12-20."
+    parser = OptionParser(description = description)
+    parser.add_option("-d", "--genomeName", dest="genomeName", help="Define the reference genome name.[compulsory]")
+    parser.add_option("-D", "--workingDir", dest="workingDir", help="Define the directory of writing reference genome index.[compulsory]")
+    parser.add_option("-k", "--kmer", dest="kmer", defaut=12, help="Choose kmer value (<=16), a big kmer value can take more RAM(4Go).[compulsory]")
+    parser.add_option("-i", "--inputFasta", dest="inputFastaFile", help="Reference genome file, fasta format.[compulsory]")
+    parser.add_option("-q", "--inputFastq", dest="inputFastqFile", help="Input fastq file.")
+    parser.add_option("-p", "--pairedEnd", dest="pairedEndFile", defaut=None, help="Input paired-end fastq file.")
+    parser.add_option("-A", "--outputFormat", dest="outputFormat", defaut="sam", help="Choose an output format [sam, goby (need to re-compile with appropriate options)].")
+    (options, args) = parser.parse_args()    
+
+    #If workingDir dose not exist, should create before run the job.
+    dir = options.workingdir
+    if not os.path.exists(dir):
+        os.makedirs(dir)
+    
+    cmds = []
+    cmd_setup = "gmap_setup -d %s -D %s -k %s %s" % (options.genomeName, options.workingdir, options.kmer, options.inputFastaFile)
+    cmds.append(cmd_setup)
+    cmd_make_coords = "make Makefile.%s coords" % options.genomeName 
+    cmds.append(cmd_make_coords)
+    cmd_make_gmapdb = "make Makefile.%s gmapdb" % options.genomeName
+    cmds.append(cmd_make_gmapdb)
+    cmd_make_install = "make Makefile.%s install" % options.genomeName
+    cmds.append(cmd_make_install)
+    cmd_run = "gsnap -d %s -D %s -A %s %s " % (options.genomeName, options.workingdir, options.outputFormat, options.inputFastqFile)
+    if options.pairedEndFile != None:
+        cmd_run += "%s" % options.pairedEndFile
+    cmds.append(cmd_run)
+    
+    tmp_files = []
+    for i in range(len(cmds)):
+        try:
+            tmp_out = tempfile.NamedTemporaryFile().name
+            tmp_files.append(tmp_out)
+            tmp_stdout = open(tmp_out, 'wb')
+            tmp_err = tempfile.NamedTemporaryFile().name
+            tmp_files.append(tmp_err)
+            tmp_stderr = open(tmp_err, 'wb')
+            proc = subprocess.Popen(args=cmds[i], shell=True, cwd=".", stdout=tmp_stdout, stderr=tmp_stderr)
+            returncode = proc.wait()
+            tmp_stderr.close()
+            #get stderr, allowing for case where it's very large
+            tmp_stderr = open(tmp_err, 'rb')
+            stderr = ''
+            buffsize = 1048576
+            try:
+                while True:
+                    stderr += tmp_stderr.read(buffsize)
+                    if not stderr or len(stderr) % buffsize != 0:
+                        break
+            except OverflowError:
+                pass
+            tmp_stdout.close()
+            tmp_stderr.close()
+            if returncode != 0:
+                raise Exception, stderr
+        except Exception, e:
+            stop_err('Error in :\n' + str(e))
+    
+    for tmp_file in tmp_files:
+        os.remove(tmp_file)
+    
+if __name__=="__main__":__main__()
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/deseq/differential_expression_analysis_pipeline_for_rnaseq_data-a03838a6eb54/Galaxy-Workflow-Differential_expression_DESeq.ga	Mon May 13 10:06:30 2013 -0400
@@ -0,0 +1,510 @@
+{
+    "a_galaxy_workflow": "true", 
+    "annotation": "", 
+    "format-version": "0.1", 
+    "name": "Differential_expression_DESeq (with replicates)", 
+    "steps": {
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+            "id": 0, 
+            "input_connections": {}, 
+            "inputs": [
+                {
+                    "description": "", 
+                    "name": "annotation.gff"
+                }
+            ], 
+            "name": "Input dataset", 
+            "outputs": [], 
+            "position": {
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+                "top": 194.4166717529297
+            }, 
+            "tool_errors": null, 
+            "tool_id": null, 
+            "tool_state": "{\"name\": \"annotation.gff\"}", 
+            "tool_version": null, 
+            "type": "data_input", 
+            "user_outputs": []
+        }, 
+        "1": {
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+            "id": 1, 
+            "input_connections": {}, 
+            "inputs": [
+                {
+                    "description": "", 
+                    "name": "Input replicat 1 for condition 1, fastq format"
+                }
+            ], 
+            "name": "Input dataset", 
+            "outputs": [], 
+            "position": {
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+                "top": 260.41668701171875
+            }, 
+            "tool_errors": null, 
+            "tool_id": null, 
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+            "user_outputs": []
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+            "id": 2, 
+            "input_connections": {}, 
+            "inputs": [
+                {
+                    "description": "", 
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+                }
+            ], 
+            "name": "Input dataset", 
+            "outputs": [], 
+            "position": {
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+                "top": 316.41668701171875
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+            "user_outputs": []
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+                {
+                    "description": "", 
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+            }, 
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+                }
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+            "inputs": [
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+            "outputs": [], 
+            "position": {
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+                "top": 599
+            }, 
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+            "tool_id": null, 
+            "tool_state": "{\"name\": \"reference genome .fasta\"}", 
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+        }, 
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+                    "id": 0, 
+                    "output_name": "output"
+                }
+            }, 
+            "inputs": [], 
+            "name": "change gff Features", 
+            "outputs": [
+                {
+                    "name": "outputFile", 
+                    "type": "gff3"
+                }
+            ], 
+            "position": {
+                "left": 468.5, 
+                "top": 198
+            }, 
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+            "tool_id": "changeGffFeatures", 
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+            "type": "tool", 
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+        }, 
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+                    "id": 2, 
+                    "output_name": "output"
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+                "condition_groups_1|replicates_0|fastq_file": {
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+                    "output_name": "output"
+                }, 
+                "condition_groups_1|replicates_1|fastq_file": {
+                    "id": 4, 
+                    "output_name": "output"
+                }, 
+                "condition_groups_1|replicates_2|fastq_file": {
+                    "id": 5, 
+                    "output_name": "output"
+                }
+            }, 
+            "inputs": [], 
+            "name": "load_multiFASTQfiles", 
+            "outputs": [
+                {
+                    "name": "multiFASTQfiles_out", 
+                    "type": "txt"
+                }
+            ], 
+            "position": {
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\ No newline at end of file
Binary file deseq/fonctionsNGS/.DS_Store has changed