| Previous changeset 1:f9554d5bb47e (2017-03-02) Next changeset 3:966fcf7ae66e (2017-10-26) |
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added:
nmr_bucketing/.shed.yml nmr_bucketing/DrawSpec.R nmr_bucketing/MANUAL_INSTALL.txt nmr_bucketing/NmrBucketing_script.R nmr_bucketing/NmrBucketing_wrapper.R nmr_bucketing/NmrBucketing_xml.xml nmr_bucketing/README.rst nmr_bucketing/planemo_test.sh nmr_bucketing/repository_dependencies.xml nmr_bucketing/static/images/MTH - Architecture repertoire Bruker.png nmr_bucketing/static/images/Mth_Travaux.png nmr_bucketing/test-data/MTBLS1.zip nmr_bucketing/test-data/MTBLS1_bucketedData.tabular nmr_bucketing/test-data/MTBLS1_sampleMetadata.tabular nmr_bucketing/test-data/MTBLS1_variableMetadata.tabular |
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removed:
normalization/.travis.yml normalization/README.md normalization/galaxy/normalization/.shed.yml normalization/galaxy/normalization/DrawSpec.R normalization/galaxy/normalization/MANUAL_INSTALL.txt normalization/galaxy/normalization/NmrNormalization_script.R normalization/galaxy/normalization/NmrNormalization_wrapper.R normalization/galaxy/normalization/NmrNormalization_xml.xml normalization/galaxy/normalization/README.rst normalization/galaxy/normalization/planemo_test.sh normalization/galaxy/normalization/test-data/MTBLS1_bucketedData.tabular normalization/galaxy/normalization/test-data/MTBLS1_bucketedData_normalized.tabular normalization/galaxy/normalization/tool_dependencies.xml |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/.shed.yml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/.shed.yml Thu Apr 20 08:53:46 2017 -0400 |
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| @@ -0,0 +1,7 @@ +categories: [Metabolomics] +description: '[Metabolomics][W4M][NMR] NMR Bucketing - Bucketing / Binning (spectra segmentation in fixed-size windows) and integration (sum of absolute intensities inside each bucket) to preprocess NMR data' +homepage_url: http://workflow4metabolomics.org +long_description: 'Part of the W4M project: http://workflow4metabolomics.org' +name: nmr_bucketing +owner: marie-tremblay-metatoul +remote_repository_url: https://github.com/workflow4metabolomics/nmr_bucketing |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/DrawSpec.R --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/DrawSpec.R Thu Apr 20 08:53:46 2017 -0400 |
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| @@ -0,0 +1,74 @@ +drawSpec <- function (X, startP = -1, endP = -1, groupLabel = NULL, useLog = -1, highBound = -1, lowBound = -1, + xlab = NULL, ylab = NULL, main = NULL, nAxisPos = 4, offside = 0) +{ + groupLabel_name = groupLabel + X = as.data.frame(X) +# colnames(X) = c(1:ncol(X)) + X = as.matrix(X) + if (highBound != -1) { + for (i in 1:nrow(X)) { + myIndex = which(X[i, ] > highBound) + X[i, myIndex] = highBound + } + } + if (lowBound != -1) { + for (i in 1:nrow(X)) { + myIndex = which(X[i, ] < lowBound) + X[i, myIndex] = lowBound + } + } + if (is.null(groupLabel)) { + groupLabel = c(1:nrow(X)) + groupLabel = as.factor(groupLabel) + } + else { + levels(groupLabel) = c(1:length(levels(groupLabel))) + } + if (startP == -1) + startP = 1 + if (endP == -1) + endP = ncol(X) + if (is.null(xlab)) { + xlab = "index" + } + if (is.null(ylab)) { + ylab = "intensity" + } + if (is.null(main)) { + main = paste(" ", startP + offside, "-", endP + offside) + } + GraphRange <- c(startP:endP) + yn <- X[, GraphRange] + if (useLog != -1) + yn = log(yn) + if (length(yn) > ncol(X)) + { + plot(yn[1, ], ylim = c(min(yn), max(yn)), type = "n", ylab = ylab, xlab = xlab, main = main, xaxt = "n") + tempVal = trunc(length(GraphRange)/nAxisPos) + xPos = c(0:nAxisPos) * tempVal + axis(1, at = xPos, labels = colnames(X)[xPos + startP + offside]) + for (i in 1:length(levels(groupLabel))) + { + groupLabelIdx = which(groupLabel == levels(groupLabel)[i]) + color <- palette(rainbow(length(levels(groupLabel)))) + for (j in 1:length(groupLabelIdx)) + { + lines(yn[groupLabelIdx[j], ], col = color[i]) + } + } + if (!is.null(groupLabel_name)) + { + legendPos = "topleft" + legend(legendPos, levels(groupLabel_name), col = as.integer(levels(groupLabel)), text.col = "black", pch = c(19, 19), bg = "gray90") + } + } + if (length(yn) == ncol(X)) + { + plot(yn, ylim = c(min(yn), max(yn)), type = "n", ylab = ylab, xlab = xlab, main = main, xaxt = "n") + tempVal = trunc(length(GraphRange)/nAxisPos) + xPos = c(0:nAxisPos) * tempVal +# axis(1, at = xPos, labels = xPos + startP + offside) + axis(1, at = xPos, labels = colnames(X)[xPos + startP + offside]) + lines(yn) + } +} \ No newline at end of file |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/MANUAL_INSTALL.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/MANUAL_INSTALL.txt Thu Apr 20 08:53:46 2017 -0400 |
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| @@ -0,0 +1,59 @@ +Instructions to integrate the "NMR bucketing" tool into a local instance of Galaxy +Version February 2015 M Tremblay-Franco + + +## --- R bin and Packages : --- ## +R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" +Platform: x86_64-redhat-linux-gnu (64-bit) + +Install the "batch" library, necessary for parseCommandArgs function and the "pracma" library, nessecary for cumtrapz function: + - Download package source (*.tar.gz file) from your favorite CRAN (http://www.r-project.org/) +For example: http://cran.univ-lyon1.fr/ + + - Install package in your R session +install.packages("path/package_name.tar.gz",lib="path",repos=NULL) +For Example: install.packages("/usr/lib64/R/library/pracma_1.8.3.tar",lib="/usr/lib64/R/library",repos=NULL) + + - Finally, load the package into your R session +library(batch) +library(pracma) + + +## --- Config : --- ## + - Edit the file "/galaxy/dist/galaxy-dist/tool_conf.xml" and add +<section id="id_name" name="Name"> + <tool file="path/NmrBucketing_xml.xml" /> +</section> +to create a new section containing the NMR_Bucketing tool +or add + <tool file="path/NmrBucketing_xml.xml" /> +in an existing section + + - Put the three files NmrBucketing_xml.xml, NmrBucketing_wrapper.R and NmrBucketing_script.R in a same directory +For example, path=/galaxy/dist/galaxy-dist/tools/stats + + - Edit the NmrBucketing_xml.xml file and change the path in the following lines + # R script + R --vanilla --slave --no-site-file --file=path/NmrBucketing_wrapper.R --args + + ## Library name for raw files storage + library path/$library + +## --- XML help part --- ## +one image: +Copy the 'Mth_Architecture_Repertoire_Bruker.png' file within the directory to your galaxy-dist/static/images/ + + + - Activate the "user_library_import_dir" in your /galaxy/dist/galaxy-dist/universe_wsgi.ini and create the users directories in this path, for example: + + #In universe_wsgi.ini + user_library_import_dir = /projet/sbr/galaxy/import/user + + #Create the user "myaccount" in this path + + User path: /projet/sbr/galaxy/import/user/myaccount@sb-roscoff.fr + + + + +Finally, restart Galaxy \ No newline at end of file |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/NmrBucketing_script.R --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/NmrBucketing_script.R Thu Apr 20 08:53:46 2017 -0400 |
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| b'@@ -0,0 +1,273 @@\n+################################################################################################\r\n+# SPECTRA BUCKETING AND INTEGRATION FROM RAW BRUKER FILES #\r\n+# User : Galaxy #\r\n+# Original data : -- #\r\n+# Starting date : 20-10-2014 #\r\n+# Version 1 : 18-12-2014 #\r\n+# Version 2 : 07-01-2015 #\r\n+# Version 3 : 24-10-2016 #\r\n+# #\r\n+# Input files : modification on october 2016 #\r\n+# - Raw bruker files included in user-defined fileName #\r\n+# - Preprocessed files (alignment, ...) included in p x n dataframe #\r\n+################################################################################################\r\n+NmrBucketing <- function(fileType,fileName,leftBorder = 10.0,rightBorder = 0.5,bucketSize = 0.04,exclusionZones,\r\n+ exclusionZonesBorders=NULL,graph=c("None","Overlay","One_per_individual"),\r\n+ nomFichier,savLog.txtC = NULL) \r\n+{\r\n+ ## Option\r\n+ ##---------------\r\n+ strAsFacL <- options()$stringsAsFactors\r\n+ options(stingsAsFactors = FALSE)\r\n+ options(warn = -1)\r\n+ \r\n+ \r\n+ ## Constants\r\n+ ##---------------\r\n+ topEnvC <- environment()\r\n+ flgC <- "\\n"\r\n+ \r\n+ ## Log file (in case of integration into Galaxy)\r\n+ ##----------------------------------------------\r\n+ if(!is.null(savLog.txtC))\r\n+ sink(savLog.txtC, append = TRUE)\r\n+ \r\n+ ## Functions definition\r\n+ ##--------------------- \r\n+ ## RAW BRUKER FILE READING FUNCTION\r\n+ NmRBrucker_read <- function(DataDir,SampleSpectrum)\r\n+ {\r\n+ \r\n+ bruker.get_param <- function (ACQ,paramStr)\r\n+ {\r\n+ regexpStr <- paste("^...",paramStr,"=",sep="")\r\n+ as.numeric(gsub("^[^=]+= ","" ,ACQ[which(simplify2array(regexpr(regexpStr,ACQ))>0)]))\r\n+ }\r\n+ \r\n+ ACQFILE <- "acqus"\r\n+ SPECFILE <- paste(DataDir,"/1r",sep="")\r\n+ PROCFILE <- paste(DataDir,"/procs",sep="")\r\n+ \r\n+ ACQ <- readLines(ACQFILE)\r\n+ TD <- bruker.get_param(ACQ,"TD")\r\n+ SW <- bruker.get_param(ACQ,"SW")\r\n+ SWH <- bruker.get_param(ACQ,"SW_h")\r\n+ DTYPA <- bruker.get_param(ACQ,"DTYPA")\r\n+ BYTORDA <- bruker.get_param(ACQ,"BYTORDA")\r\n+ #ENDIAN = ifelse( BYTORDA==0, "little", "big")\r\n+ ENDIAN <- "little"\r\n+ SIZE = ifelse( DTYPA==0, 4, 8)\r\n+ \r\n+ PROC <- readLines(PROCFILE)\r\n+ OFFSET <- bruker.get_param(PROC,"OFFSET")\r\n+ SI <- bruker.get_param(PROC,"SI")\r\n+ \r\n+ to.read = file(SPECFILE,"rb")\r\n+ maxTDSI = max(TD,SI)\r\n+ # signal<-rev(readBin(to.read, what="int",size=SIZE, n=TD, signed = TRUE, endian = ENDIAN))\r\n+ signal<-rev(readBin(to.read, what="int",size=SIZE, n=maxTDSI, signed = TRUE, endian = ENDIAN))\r\n+ close(to.read)\r\n+ \r\n+ td <- length(signal)\r\n+ \r\n+ # dppm <- SW/(TD-1)\r\n+ dppm <- SW/(td-1)\r\n+ pmax <- OFFSET\r\n+ pmin <- OFFSET - SW\r\n+ ppmseq <- seq(from=pmin, to=pmax, by=dppm)\r\n+ signal <- 100*signal/max(signal)\r\n+ \r\n+ SampleSpectrum <- cbind(ppmseq,signal)\r\n+ return(SampleSpectrum)\r\n+ }\r\n+ \r\n+ ## SPECTRUM BUCKETING\r\n+ NmrBrucker_bucket <- function(spectrum)\r\n+ {\r\n+ # Initialisations\r\n+ b <- 1\r\n+ j <- 1\r\n+ # Variable number\r\n+ J <- round((spectrum[1,1]-spectrum[dim(spectrum)[1],1])/bucketSize)\r\n+ f.bucket <- matrix(rep(0,J*2),ncol=2)\r\n+ colnames(f.bucket) <- c("Bucket",FileNames[i])\r\n+ \r\n+ \r\n+ # Data bucketing\r\n+'..b'Names <- list.files(fileName)\r\n+ n <- length(FileNames)\r\n+ \r\n+ # Reading and Bucketing\r\n+ fileName <- paste(fileName,"/",sep="")\r\n+ \r\n+ i <- 1\r\n+ while (i <= n)\r\n+ {\r\n+ # File reading\r\n+ SampleDir <- paste(fileName,FileNames[i],"/1/",sep="")\r\n+ setwd(SampleDir)\r\n+ DataDir <- "pdata/1"\r\n+ \r\n+ rawSpectrum <- NmRBrucker_read(DataDir,rawSpectrum)\r\n+ \r\n+ orderedSpectrum <- rawSpectrum[order(rawSpectrum[,1],decreasing=T), ]\r\n+ \r\n+ # Removal of chemical shifts > leftBorder or < rightBorder boundaries\r\n+ truncatedSpectrum <- orderedSpectrum[orderedSpectrum[,1] < leftBorder & orderedSpectrum[,1] > rightBorder, ]\r\n+ truncatedSpectrum[,1] <- round(truncatedSpectrum[,1],3)\r\n+ \r\n+ # Bucketing\r\n+ spectrum.bucket <- NmrBrucker_bucket(truncatedSpectrum)\r\n+ ppm <- spectrum.bucket[,1]\r\n+ \r\n+ # spectrum Concatenation\r\n+ if (i == 1)\r\n+ bucketedSpectra <- spectrum.bucket\r\n+ if (i > 1)\r\n+ bucketedSpectra <- cbind(bucketedSpectra,spectrum.bucket[,2])\r\n+ colnames(bucketedSpectra)[i+1] <- FileNames[i]\r\n+ \r\n+ # Next sample\r\n+ rm(spectrum.bucket)\r\n+ i <- i +1\r\n+ }\r\n+ # Directory\r\n+ cd(fileName) \r\n+ }\r\n+ \r\n+ ## Inputs from dataset (preprocessed files)\r\n+ if (fileType=="tsv")\r\n+ {\r\n+ FileNames <- colnames(fileName)\r\n+ n <- length(FileNames)\r\n+ \r\n+ for (i in 1:ncol(fileName))\r\n+ {\r\n+ orderedSpectrum <- cbind(as.numeric(rownames(fileName)),fileName[,i])\r\n+ orderedSpectrum <- orderedSpectrum[order(orderedSpectrum[,1],decreasing=T), ]\r\n+ \r\n+ truncatedSpectrum <- orderedSpectrum[orderedSpectrum[,1] < leftBorder & orderedSpectrum[,1] > rightBorder, ]\r\n+ truncatedSpectrum[,1] <- round(truncatedSpectrum[,1],3)\r\n+ \r\n+ # Bucketing\r\n+ spectrum.bucket <- NmrBrucker_bucket(truncatedSpectrum)\r\n+ ppm <- spectrum.bucket[,1]\r\n+ \r\n+ # spectrum Concatenation\r\n+ if (i == 1)\r\n+ bucketedSpectra <- spectrum.bucket\r\n+ if (i > 1)\r\n+ bucketedSpectra <- cbind(bucketedSpectra,spectrum.bucket[,2])\r\n+ colnames(bucketedSpectra)[i+1] <- colnames(fileName)[i]\r\n+ }\r\n+ }\r\n+ \r\n+ identifiants <- gsub("([- , * { } | \\\\[ ])","_",colnames(bucketedSpectra)[-1])\r\n+ colnames(bucketedSpectra) <- c(colnames(bucketedSpectra)[1],identifiants)\r\n+\r\n+ bucketedSpectra <- bucketedSpectra[bucketedSpectra[,1]!=0,]\r\n+ rownames(bucketedSpectra) <- paste("B",bucketedSpectra[,1],sep="")\r\n+ bucketedSpectra <- bucketedSpectra[,-1]\r\n+ \r\n+ # Metadata matrice outputs\r\n+ sampleMetadata <- data.frame(1:n)\r\n+ rownames(sampleMetadata) <- colnames(bucketedSpectra)\r\n+ colnames(sampleMetadata) <- "SampleOrder"\r\n+ \r\n+ variableMetadata <- data.frame(1:nrow(bucketedSpectra))\r\n+ rownames(variableMetadata) <- rownames(bucketedSpectra)\r\n+ colnames(variableMetadata) <- "VariableOrder"\r\n+\r\n+\r\n+ return(list(bucketedSpectra,sampleMetadata,variableMetadata,ppm)) # ,truncatedSpectrum_matrice\r\n+}\r\n+\r\n+\r\n+#################################################################################################################\r\n+## Typical function call\r\n+#################################################################################################################\r\n+## StudyDir <- "K:/PROJETS/Metabohub/Bruker/Tlse_BPASourisCerveau/"\r\n+## upper <- 9.5\r\n+## lower <- 0.8\r\n+## bucket.width <- 0.01\r\n+## exclusion <- TRUE\r\n+## exclusion.zone <- list(c(5.1,4.5))\r\n+## graphique <- "Overlay"\r\n+## nomFichier <- "Tlse_BPASourisCerveau_NmrBucketing_graph.pdf"\r\n+## tlse_cerveaupnd21.bucket <- NmrBucketing(StudyDir,upper,lower,bucket.width,exclusion,exclusion.zone,graphique,nomFichier)\r\n+## write.table(tlse_cerveaupnd21.bucket,file=paste(StudyDir,"Tlse_BPASourisCerveau_NmrBucketing_dataMatrix.tsv",sep=""),\r\n+## quote=FALSE,row.nmaes=FALSE,sep="\\t")\r\n+#################################################################################################################\r\n' |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/NmrBucketing_wrapper.R --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/NmrBucketing_wrapper.R Thu Apr 20 08:53:46 2017 -0400 |
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| b'@@ -0,0 +1,295 @@\n+#!/usr/local/public/bin/Rscript --vanilla --slave --no-site-file\r\n+\r\n+## 070115_NmrBucketing2galaxy_v1.R\r\n+## Marie Tremblay-Franco\r\n+## MetaboHUB: The French Infrastructure for Metabolomics and Fluxomics\r\n+## www.metabohub.fr/en\r\n+## marie.tremblay-franco@toulouse.inra.fr\r\n+\r\n+runExampleL <- FALSE\r\n+\r\n+if(runExampleL) {\r\n+##------------------------------\r\n+## Example of arguments\r\n+##------------------------------\r\n+argLs <- list(StudyDir = "Tlse_BPASourisCerveau",\r\n+ upper = "10.0",\r\n+ lower = "0.50",\r\n+ bucket.width = "0.01",\r\n+ exclusion = "TRUE",\r\n+ exclusion.zone = list(c(6.5,4.5)),\r\n+ graph="Overlay")\r\n+\r\n+argLs <- c(argLs,\r\n+ list(dataMatrixOut = paste(directory,"_NmrBucketing_dataMatrix.tsv",sep=""),\r\n+ sampleMetadataOut = paste(directory,"_NmrBucketing_sampleMetadata.tsv",sep=""),\r\n+ variableMetadataOut = paste(directory,"_NmrBucketing_variableMetadata.tsv",sep=""),\r\n+ graphOut = paste(directory,"_NmrBucketing_graph.pdf",sep=""),\r\n+ logOut = paste(directory,"_NmrBucketing_log.txt",sep="")))\r\n+}\r\n+\r\n+##------------------------------\r\n+## Options\r\n+##------------------------------\r\n+strAsFacL <- options()$stringsAsFactors\r\n+options(stringsAsFactors = FALSE)\r\n+\r\n+\r\n+##------------------------------\r\n+## Libraries laoding\r\n+##------------------------------\r\n+# For parseCommandArgs function\r\n+library(batch)\r\n+# For cumtrapz function\r\n+library(pracma)\r\n+\r\n+# R script call\r\n+source_local <- function(fname)\r\n+{\r\n+\targv <- commandArgs(trailingOnly = FALSE)\r\n+\tbase_dir <- dirname(substring(argv[grep("--file=", argv)], 8))\r\n+\tsource(paste(base_dir, fname, sep="/"))\r\n+}\r\n+#Import the different functions\r\n+source_local("NmrBucketing_script.R")\r\n+source_local("DrawSpec.R")\r\n+\r\n+##------------------------------\r\n+## Errors ?????????????????????\r\n+##------------------------------\r\n+\r\n+\r\n+##------------------------------\r\n+## Constants\r\n+##------------------------------\r\n+topEnvC <- environment()\r\n+flagC <- "\\n"\r\n+\r\n+\r\n+##------------------------------\r\n+## Script\r\n+##------------------------------\r\n+if(!runExampleL)\r\n+ argLs <- parseCommandArgs(evaluate=FALSE)\r\n+\r\n+\r\n+## Parameters Loading\r\n+##-------------------\r\n+ # Inputs\r\n+if (!is.null(argLs[["zipfile"]])){\r\n+\tfileType="zip"\r\n+\tzipfile= argLs[["zipfile"]]\r\n+\tdirectory=unzip(zipfile, list=F)\r\n+\tdirectory=paste(getwd(),strsplit(directory[1],"/")[[1]][2],sep="/")\r\n+} else if (!is.null(argLs[["tsvfile"]])){\r\n+\tfileType="tsv"\r\n+\tdirectory <- read.table(argLs[["tsvfile"]],check.names=FALSE,header=TRUE,sep="\\t")\r\n+}\r\n+\r\n+leftBorder <- argLs[["left_border"]]\r\n+rightBorder <- argLs[["right_border"]]\r\n+bucketSize <- argLs[["bucket_width"]]\r\n+exclusionZones <- argLs[["zone_exclusion_choices.choice"]]\r\n+\r\n+exclusionZonesBorders <- NULL\r\n+if (!is.null(argLs$zone_exclusion_left))\r\n+{\r\n+ for(i in which(names(argLs)=="zone_exclusion_left"))\r\n+ {\r\n+ exclusionZonesBorders <- c(exclusionZonesBorders,list(c(argLs[[i]],argLs[[i+1]])))\r\n+ }\r\n+}\r\n+\r\n+graphique <- argLs[["graphType"]]\r\n+\r\n+ # Outputs\r\n+nomGraphe <- argLs[["graphOut"]]\r\n+dataMatrixOut <- argLs[["dataMatrixOut"]]\r\n+logFile <- argLs[["logOut"]]\r\n+if (fileType=="zip")\r\n+{\r\n+ sampleMetadataOut <- argLs[["sampleOut"]]\r\n+ variableMetadataOut <- argLs[["variableOut"]]\r\n+}\r\n+\r\n+## Checking arguments\r\n+##-------------------\r\n+error.stock <- "\\n"\r\n+\r\n+if(length(error.stock) > 1)\r\n+ stop(error.stock)\r\n+\r\n+\r\n+## Computation\r\n+##------------\r\n+outputs <- NmrBucketing(fileType=fileType, fileName=directory, leftBorder=leftBorder, rightBorder=rightBorder, bucketSize=bucketSize,\r\n+\t\t\t\t\t\texclusionZones=exclusionZones, exclusionZonesBorders=exclusionZonesBorders, graph=graphique, nomFichier=nomGraphe,\r\n+\t\t\t\t\t\tsavLog.txtC=logFile)\r\n+data_bucket <- outputs[[1]]\r\n+data_sample <- outputs[[2]]\r\n+data_variable <- outputs[[3]]\r\n+ppm <- outputs[[4]]\r\n+ppm <- round(ppm,2)\r\n+\r\n+## G'..b'):nrow(data_bucket),]))\r\n+ drawSpec(spectra,xlab="", ylab="Intensity", main="")\r\n+ }\r\n+ }\r\n+ else\r\n+ {\r\n+ for (i in 1:ncol(data_bucket))\r\n+ {\r\n+ par(mfrow=c((nbZones+2),1))\r\n+ n <- length(excludedZone)\r\n+ spectra <- t(data_bucket[,i])\r\n+\t names(spectra) <- rownames(data_bucket)\r\n+ plot(1:length(spectra), spectra, type=\'l\', xlab="", ylab="Intensity", main=colnames(data_bucket)[i], xaxt = "n")\r\n+\t xPos <- 1\r\n+\t nAxisPos <- 4\r\n+\t startP <- length(nAxisPos) \r\n+\t endP <- nrow(data_bucket)\r\n+\t GraphRange <- c(startP:endP)\r\n+\t tempVal = trunc(length(GraphRange)/nAxisPos)\r\n+\t xPos = c(0:nAxisPos) * tempVal\r\n+\t axis(1, at = xPos, labels = rownames(data_bucket)[xPos + startP])\r\n+ \r\n+ ## Zoomed spectral window depending on exclusion zone(s)\r\n+ if (nbZones != 0)\r\n+ {\r\n+ BInf <- excludedZone[n]\r\n+ if (round(BInf,1) == BInf)\r\n+ {\r\n+ BInf <- BInf+0.01\r\n+ }\r\n+ spectra <- t(data_bucket[1:(which(ppm == BInf)[[1]]),i])\r\n+\t\tnames(spectra) <- rownames(data_bucket)[1:(which(ppm == BInf)[[1]])]\r\n+\t\tplot(1:length(spectra), spectra, type=\'l\',xlab="", ylab="Intensity", main="", xaxt = "n")\t\t\t\r\n+\t\txPos <- 1\r\n+\t\tnAxisPos <- 4\r\n+\t\tstartP <- length(nAxisPos) \r\n+\t\tendP <- length(spectra)\r\n+\t\tGraphRange <- c(startP:endP)\r\n+\t\ttempVal = trunc(length(GraphRange)/nAxisPos)\r\n+\t\txPos = c(0:nAxisPos) * tempVal\r\n+\t\taxis(1, at = xPos, labels = rownames(data_bucket)[xPos + startP])\r\n+ n <- n - 1\r\n+ \r\n+ while (n >= nbZones & nbZones > 1)\r\n+ {\r\n+ BInf <- excludedZone[n-1]\r\n+ if (round(BInf,1) > BInf)\r\n+ {\r\n+ BInf <- BInf+0.01\r\n+ }\r\n+ spectra <- t(data_bucket[(which(ppm == excludedZone[n])[[1]]):(which(ppm == BInf)[[1]]),i])\r\n+\t\t names(spectra) <- rownames(data_bucket)[(which(ppm == excludedZone[n])[[1]]):(which(ppm == BInf)[[1]])]\r\n+ plot(1:length(spectra), spectra, type=\'l\',xlab="", ylab="Intensity", main="", xaxt = "n")\r\n+\t\t xPos <- 1\r\n+\t\t nAxisPos <- 4\r\n+\t\t startP <- length(nAxisPos) \r\n+\t\t endP <- length(spectra)\r\n+\t\t GraphRange <- c(startP:endP)\r\n+\t\t tempVal = trunc(length(GraphRange)/nAxisPos)\r\n+\t\t xPos = c(0:nAxisPos) * tempVal\r\n+\t\t axis(1, at = xPos, labels = rownames(data_bucket)[xPos + startP])\r\n+ n <- n - 2\r\n+ }\r\n+ \r\n+ BInf <- excludedZone[1]\r\n+ if (round(BInf,1) <= BInf)\r\n+ {\r\n+ BInf <- BInf+0.01\r\n+ }\r\n+ spectra <- t(data_bucket[(which(ppm == BInf)[[1]]):nrow(data_bucket),i])\r\n+\t\tnames(spectra) <- rownames(data_bucket)[(which(ppm == BInf)[[1]]):nrow(data_bucket)]\r\n+ plot(1:length(spectra), spectra, type=\'l\',xlab="", ylab="Intensity", main="", xaxt = "n")\r\n+\t\txPos <- 1\r\n+\t\tnAxisPos <- 4\r\n+\t\tstartP <- length(nAxisPos) \r\n+\t\tendP <- length(spectra)\r\n+\t\tGraphRange <- c(startP:endP)\r\n+\t\ttempVal = trunc(length(GraphRange)/nAxisPos)\r\n+\t\txPos = c(0:nAxisPos) * tempVal\r\n+\t\taxis(1, at = xPos, labels = rownames(data_bucket)[xPos + startP])\r\n+ }\r\n+ }\r\n+ }\r\n+ dev.off()\r\n+}\r\n+## Saving\r\n+##-------\r\n+ # Data\r\n+data_bucket <- cbind(rownames(data_bucket),data_bucket)\r\n+colnames(data_bucket) <- c("Bucket",colnames(data_bucket)[-1])\r\n+write.table(data_bucket,file=argLs$dataMatrixOut,quote=FALSE,row.names=FALSE,sep="\\t")\r\n+ # Sample\r\n+data_sample <- cbind(rownames(data_sample),data_sample)\r\n+colnames(data_sample) <- c("Sample",colnames(data_sample)[-1])\r\n+write.table(data_sample,file=argLs$sampleOut,quote=FALSE,row.names=FALSE,sep="\\t")\r\n+ # Variable\r\n+data_variable <- cbind(rownames(data_variable),data_variable)\r\n+colnames(data_variable) <- c("Bucket",colnames(data_variable)[-1])\r\n+write.table(data_variable,file=argLs$variableOut,quote=FALSE,row.names=FALSE,sep="\\t")\r\n+\r\n+\r\n+## Ending\r\n+##---------------------\r\n+\r\n+cat("\\nEnd of \'NMR bucketing\' Galaxy module call: ", as.character(Sys.time()), sep = "")\r\n+\r\n+## sink(NULL)\r\n+\r\n+options(stringsAsFactors = strAsFacL)\r\n+\r\n+rm(list = ls())\r\n' |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/NmrBucketing_xml.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/NmrBucketing_xml.xml Thu Apr 20 08:53:46 2017 -0400 |
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| b'@@ -0,0 +1,293 @@\n+<tool id="NmrBucketing" name="NMR_Bucketing" version="1.0.3">\r\n+\r\n+ <description> Bucketing and integration of NMR Bruker raw data</description>\r\n+\r\n+ <requirements>\r\n+\t <requirement type="package" version="1.1_4">r-batch</requirement>\r\n+\t <requirement type="package" version="1.8.8">r-pracma</requirement>\r\n+ </requirements>\r\n+\r\n+ <stdio>\r\n+ <exit_code range="1:" level="fatal" />\r\n+ </stdio>\r\n+\r\n+ <command>\r\n+ Rscript \'$__tool_directory__/NmrBucketing_wrapper.R\'\r\n+\r\n+ #if $inputs.input == "tsv_file":\r\n+ tsvfile \'$inputs.tsv_file\'\r\n+ #elif $inputs.input == "zip_file":\r\n+ zipfile \'$inputs.zip_file\'\r\n+ #end if\r\n+\r\n+\r\n+ ## Bucket width\r\n+ bucket_width $bucket_width\r\n+\r\n+ ## Spectra borders\r\n+ left_border $left_border\r\n+ right_border $right_border\r\n+\r\n+\r\n+ ## Spectra representation\r\n+ graphType $graphType\r\n+\r\n+ ## Exclusion zone\r\n+ zone_exclusion_choices.choice ${zone_exclusion_choices.choice}\r\n+ #if str($zone_exclusion_choices.choice) == \'yes\':\r\n+ #for $i in $zone_exclusion_choices.conditions:\r\n+ zone_exclusion_left ${i.zone_exclusion_left}\r\n+ zone_exclusion_right ${i.zone_exclusion_right}\r\n+ #end for\r\n+ #end if\r\n+\r\n+ ## Outputs\r\n+ logOut log.log\r\n+ dataMatrixOut \'$dataMatrixOut\'\r\n+ sampleOut \'$sampleOut\'\r\n+ variableOut \'$variableOut\'\r\n+ graphOut \'$graphOut\'; cat log.log\r\n+ </command>\r\n+\r\n+ <inputs>\r\n+ <conditional name="inputs">\r\n+ <param name="input" type="select" label="Choose your inputs method" >\r\n+ <option value="zip_file" selected="true">Zip file from your history containing your Bruker directories</option>\r\n+ <option value="tsv_file">Tsv file containing preprocessed spectra (from your history)</option>\r\n+ </param>\r\n+ <when value="zip_file">\r\n+ <param name="zip_file" type="data" format="no_unzip.zip" label="Zip file" />\r\n+ </when>\r\n+ <when value="tsv_file">\r\n+ <param name="tsv_file" type="data" format="tabular" label="Tsv file" />\r\n+ </when>\r\n+ </conditional>\r\n+\r\n+ <param name="bucket_width" label="Bucket width" type="float" value="0.04" help="Default value is 0.04 ppm"/>\r\n+\r\n+ <param name="left_border" label="Left Border" type="float" value="10.0" size="10" help="Default value is 10 ppm"/>\r\n+ <param name="right_border" label="Right Border" type="float" value="0.5" size="10" help="Default value is 0.5 ppm"/>\r\n+\r\n+ <conditional name="zone_exclusion_choices">\r\n+ <param name="choice" type="select" label="Exclusion zone(s)" help="Choose if you want to exclude particular zone(s)" >\r\n+ <option value="yes" > yes </option>\r\n+ <option value="no" selected="true"> no </option>\r\n+ </param>\r\n+ <when value="yes">\r\n+ <repeat name="conditions" title="exclusion zones">\r\n+ <param name="zone_exclusion_left" label="Left exclusion zone border" type="float" value="10.0" />\r\n+ <param name="zone_exclusion_right" label="Right exclusion zone border" type="float" value="10.0" />\r\n+ </repeat>\r\n+ </when>\r\n+ <when value="no">\r\n+ </when>\r\n+ </conditional>\r\n+\r\n+ <param name="graphType" label="Spectra representation" type="select" help="Select \'None\' for no representation,\'Overlay\' to overlay all spectra on a unique chart and \'One per individual\' to generate an individual chart for each observation">\r\n+ <option value="None"> none </option>\r\n+ <option value="Overlay"> Overlay </option>\r\n+ <option value="One_per_individual"> One_per_individual </option>\r\n+ </param>\r\n+\r\n+ </inputs>\r\n+\r\n+ <outputs>\r\n+ '..b'-------------------+----------------------+--------+\r\n+| | variableMetadata.tsv | Tabular|\r\n++---------------------------+----------------------+--------+\r\n+\r\n+\r\n+-----------\r\n+Input files\r\n+-----------\r\n+\r\n++---------------------------+------------+\r\n+| Parameter : num + label | Format |\r\n++===========================+============+\r\n+| 1 : Choose your inputs | zip |\r\n++---------------------------+------------+\r\n+| 1 : Choose your inputs | tsv |\r\n++---------------------------+------------+\r\n+\r\n+**Choose your inputs**\r\n+\r\n+You have three methods for your inputs:\r\n+\r\n+| Zip file (recommended): You can put a zip file containing your inputs as raw Bruker files: myinputs.zip (containing all your conditions as sub-directories).\r\n+| Tsv file: You can put a tsv file containing your inputs as preprocessed spectra: myinputs.tsv (containing all your conditions in columns and chemical shifts in rows).\r\n+\r\n+.. image:: ./static/images/Mth_Architecture_Repertoire_Bruker.png\r\n+:width: 800\r\n+\r\n+----------\r\n+Parameters\r\n+----------\r\n+\r\n+Bucket width\r\n+| size of windows\r\n+|\r\n+\r\n+Left limit\r\n+| Upper boundary: values greater than this value are not used in the bucketing. Default value is 10.0 ppm\r\n+|\r\n+\r\n+Right limit\r\n+| Lower boundary: values lower than this value are not used in the bucketing. Default value is 0.5 ppm\r\n+|\r\n+\r\n+Exclusion zone(s)\r\n+| Spectral regions to exclude, water, solvents, ... resonance\r\n+| If YES: parameters **Lower exclusion zone** and **Upper exclusion zone** are visible,\r\n+| If NO: no zone to exclude\r\n+| Default value is NO\r\n+|\r\n+\r\n+Left exclusion zone\r\n+| Upper boundary of exclusion zone\r\n+|\r\n+\r\n+Right exclusion zone\r\n+| Lower boundary of exclusion zone\r\n+\r\n+| *Notes:*\r\n+| - these parameters can be used several times using the "Add new exclusion zones" button\r\n+|\r\n+\r\n+Spectra representation:\r\n+| Graphical chart of bucketed and integrated raw files\r\n+| If "Overlay": the n (sample number) spectra are overlaid on the same figure\r\n+| If "One_per_individual": pdf file includes n pages (1 per sample)\r\n+|\r\n+\r\n+\r\n+------------\r\n+Output files\r\n+------------\r\n+\r\n+\r\n+bucketedData.tsv\r\n+| tabular output\r\n+| Data matrix with p rows (buckets) and n columns (samples) containing the intensities\r\n+|\r\n+\r\n+sampleMetadata.tsv\r\n+| tabular output\r\n+| file with n rows (samples) and 2 columns containing sample identifier (rownames) and sample order: the rownames of sampleMetadata must be identical to the colnames of the bucketedData. Can add columns with numeric and/or character sample metadata. This file is optional in the normalization step and mandatory in the statistical analysis step of the workflow.\r\n+|\r\n+\r\n+variableMetadata.tsv\r\n+| tabular output\r\n+| file with p rows (buckets) and 2 columns containing variable identifier (rownames) and bucket order: the rownames of variableMetadata must be identical to the rownames of the bucketedData. Can add columns with numeric and/or character variable metadata. This file is mandatory in the statistical analysis step of the workflow.\r\n+|\r\n+\r\n+spectra.pdf\r\n+| pdf output\r\n+| Graphical chart of bucketed and integrated data\r\n+|\r\n+\r\n+\r\n+---------------------------------------------------\r\n+\r\n+---------------\r\n+Working example\r\n+---------------\r\n+\r\n+\r\n+.. class:: warningmark\r\n+\r\n+Under construction\r\n+\r\n+.. image:: ./static/images/Mth_Travaux.png\r\n+:width: 100\r\n+\r\n+---------------------------------------------------\r\n+\r\n+Changelog/News\r\n+--------------\r\n+\r\n+**Version 1.0.3 - 24/10/2016**\r\n+\r\n+- ENHANCEMENT: add possibility of bucketing processed files (upstream tools)\r\n+\r\n+**Version 1.0.2 - 12/08/2016**\r\n+\r\n+- ENHANCEMENT: x-axis customization: add chemical shift labels\r\n+\r\n+**Version 1.0.1 - 04/04/2016**\r\n+\r\n+- TEST: refactoring to pass planemo test using conda dependencies\r\n+\r\n+\r\n+**Version 2015-01-08 - 08/01/2015**\r\n+\r\n+ </help>\r\n+ <citations>\r\n+ <citation type="doi">10.1093/bioinformatics/btu813</citation>\r\n+ </citations>\r\n+</tool>\r\n' |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/README.rst --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/README.rst Thu Apr 20 08:53:46 2017 -0400 |
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| @@ -0,0 +1,28 @@ + +Changelog/News +-------------- + +**Version 1.0.3 - 24/10/2016** + +- ENHANCEMENT: add possibility of bucketing processed files (upstream tools) + +**Version 1.0.2 - 12/08/2016** + +- ENHANCEMENT: x-axis customization: add chemical shift labels + +**Version 1.0.1 - 04/04/2016** + +- TEST: refactoring to pass planemo test using conda dependencies + + +**Version 2015-01-08 - 08/01/2015** + + + +Test Status +----------- + +Planemo test using conda: passed + +Planemo shed_test: passed + |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/planemo_test.sh --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/planemo_test.sh Thu Apr 20 08:53:46 2017 -0400 |
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| @@ -0,0 +1,12 @@ +planemo conda_init +planemo conda_install . +planemo test --install_galaxy --conda_dependency_resolution --galaxy_branch "dev" + +#All 1 test(s) executed passed. +#nmr_bucketing[0]: passed + + +planemo shed_test -t testtoolshed --install_galaxy --galaxy_branch "dev" + +#All 1 test(s) executed passed. +#testtoolshed.g2.bx.psu.edu/repos/marie-tremblay-metatoul/nmr_bucketing/NmrBucketing/1.0.1[0]: passed |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/repository_dependencies.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/repository_dependencies.xml Thu Apr 20 08:53:46 2017 -0400 |
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| @@ -0,0 +1,4 @@ +<?xml version="1.0"?> +<repositories> + <repository changeset_revision="7800ba9a4c1e" name="no_unzip_datatype" owner="lecorguille" toolshed="https://toolshed.g2.bx.psu.edu" /> +</repositories> |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/test-data/MTBLS1_bucketedData.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/test-data/MTBLS1_bucketedData.tabular Thu Apr 20 08:53:46 2017 -0400 |
| b |
| b'@@ -0,0 +1,595 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|
| b |
| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/test-data/MTBLS1_sampleMetadata.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/test-data/MTBLS1_sampleMetadata.tabular Thu Apr 20 08:53:46 2017 -0400 |
| b |
| @@ -0,0 +1,24 @@ +Sample SampleOrder +ADG10003u_007 1 +ADG10003u_008 2 +ADG10003u_009 3 +ADG10003u_010 4 +ADG10003u_015 5 +ADG10003u_016 6 +ADG10003u_017 7 +ADG10003u_021 8 +ADG10003u_022 9 +ADG10003u_023 10 +ADG10003u_051 11 +ADG10003u_052 12 +ADG10003u_053 13 +ADG10003u_066 14 +ADG10003u_067 15 +ADG10003u_071 16 +ADG10003u_072 17 +ADG10003u_073 18 +ADG10003u_087 19 +ADG10003u_088 20 +ADG10003u_089 21 +ADG10003u_097 22 +ADG10003u_098 23 |
| b |
| diff -r f9554d5bb47e -r 3cd762aac7a4 nmr_bucketing/test-data/MTBLS1_variableMetadata.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/nmr_bucketing/test-data/MTBLS1_variableMetadata.tabular Thu Apr 20 08:53:46 2017 -0400 |
| b |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/.travis.yml --- a/normalization/.travis.yml Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| @@ -1,16 +0,0 @@ - -# This is a special configuration file to run tests on Travis-CI via -# GitHub notifications when changes are committed. -# -# See http://travis-ci.org/ for details -language: python - -before_install: - - export GALAXY_RELEASE=release_17.01 - - export PLANEMO_RELEASE=0.37.0 - -install: - - pip install planemo==$PLANEMO_RELEASE - -script: - - planemo lint ${TRAVIS_BUILD_DIR}/galaxy/normalization && planemo test --conda_auto_init --conda_auto_install --conda_dependency_resolution --galaxy_branch $GALAXY_RELEASE --no_cache_galaxy ${TRAVIS_BUILD_DIR}/galaxy/normalization |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/README.md --- a/normalization/README.md Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,73 +0,0 @@ -Spectral Normalization for Galaxy -================================= - -[](http://bioconda.github.io) [](https://travis-ci.org/workflow4metabolomics/normalization) - -Our project ------------ -The [Workflow4Metabolomics](http://workflow4metabolomics.org), W4M in short, is a French infrastructure offering software tool processing, analyzing and annotating metabolomics data. It is based on the Galaxy platform. - - -Normalization -------------- - -Normalization (operation applied on each individual spectrum) of preprocessed data - - -Galaxy ------- -Galaxy is an open, web-based platform for data intensive biomedical research. Whether on the free public server or your own instance, you can perform, reproduce, and share complete analyses. - -Homepage: [https://galaxyproject.org/](https://galaxyproject.org/) - - -Dependencies using Conda ------------------------- -[](http://bioconda.github.io) - -[Conda](http://conda.pydata.org/) is package manager that among many other things can be used to manage Python packages. - -``` -#To install miniconda2 -#http://conda.pydata.org/miniconda.html -#To install the R library using conda: -conda install r-batch -#To set an environment: -conda create -n r-batch r-batch` -#To activate the environment: -. activate r-batch -``` - -Test Status ------------ - -Planemo test using conda: passed - -Planemo shed_test: passed - - -Conda ------ -[](http://bioconda.github.io) - -[Conda](http://conda.pydata.org/) is package manager that among many other things can be used to manage Python packages. - -Travis ------- -[](https://travis-ci.org/workflow4metabolomics/spectral_normalization) - -Test and Deploy with Confidence. Easily sync your GitHub projects with Travis CI and you'll be testing your code in minutes! - -Test Status ------------ - -Planemo test using conda: passed - -Planemo shed_test: passed - - -Historic contributors ---------------------- - - Marie Tremblay-Franco @mtremblayfr - [French Metabolomics and Fluxomics Infrastructure (MetaboHUB)](http://www.metabohub.fr/en) - [MetaToul](http://www.metatoul.fr/) - - Marion Landi - [French Metabolomics and Fluxomics Infrastructure (MetaboHUB)](http://www.metabohub.fr/en) - [La plateforme "Exploration du Métabolisme" (PFEM, Clermont-Ferrand)](http://www6.clermont.inra.fr/plateforme_exploration_metabolisme) - - Gildas Le Corguillé @lecorguille - [ABiMS](http://abims.sb-roscoff.fr/) / [IFB](http://www.france-bioinformatique.fr/) - [UPMC](www.upmc.fr)/[CNRS](www.cnrs.fr) - [Station Biologique de Roscoff](http://www.sb-roscoff.fr/) - France |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/.shed.yml --- a/normalization/galaxy/normalization/.shed.yml Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,7 +0,0 @@ -categories: [Metabolomics] -description: '[Metabolomics][W4M][ALL] Normalization (operation applied on each individual spectrum) of preprocessed data' -homepage_url: http://workflow4metabolomics.org -long_description: 'Part of the W4M project: http://workflow4metabolomics.org' -name: normalization -owner: marie-tremblay-metatoul -remote_repository_url: https://github.com/workflow4metabolomics/normalization |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/DrawSpec.R --- a/normalization/galaxy/normalization/DrawSpec.R Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,74 +0,0 @@ -drawSpec <- function (X, startP = -1, endP = -1, groupLabel = NULL, useLog = -1, highBound = -1, lowBound = -1, - xlab = NULL, ylab = NULL, main = NULL, nAxisPos = 4, offside = 0) -{ - groupLabel_name = groupLabel - X = as.data.frame(X) -# colnames(X) = c(1:ncol(X)) - X = as.matrix(X) - if (highBound != -1) { - for (i in 1:nrow(X)) { - myIndex = which(X[i, ] > highBound) - X[i, myIndex] = highBound - } - } - if (lowBound != -1) { - for (i in 1:nrow(X)) { - myIndex = which(X[i, ] < lowBound) - X[i, myIndex] = lowBound - } - } - if (is.null(groupLabel)) { - groupLabel = c(1:nrow(X)) - groupLabel = as.factor(groupLabel) - } - else { - levels(groupLabel) = c(1:length(levels(groupLabel))) - } - if (startP == -1) - startP = 1 - if (endP == -1) - endP = ncol(X) - if (is.null(xlab)) { - xlab = "index" - } - if (is.null(ylab)) { - ylab = "intensity" - } - if (is.null(main)) { - main = paste(" ", startP + offside, "-", endP + offside) - } - GraphRange <- c(startP:endP) - yn <- X[, GraphRange] - if (useLog != -1) - yn = log(yn) - if (length(yn) > ncol(X)) - { - plot(yn[1, ], ylim = c(min(yn), max(yn)), type = "n", ylab = ylab, xlab = xlab, main = main, xaxt = "n") - tempVal = trunc(length(GraphRange)/nAxisPos) - xPos = c(0:nAxisPos) * tempVal - axis(1, at = xPos, labels = colnames(X)[xPos + startP + offside]) - for (i in 1:length(levels(groupLabel))) - { - groupLabelIdx = which(groupLabel == levels(groupLabel)[i]) - color <- palette(rainbow(length(levels(groupLabel)))) - for (j in 1:length(groupLabelIdx)) - { - lines(yn[groupLabelIdx[j], ], col = color[i]) - } - } - if (!is.null(groupLabel_name)) - { - legendPos = "topleft" - legend(legendPos, levels(groupLabel_name), col = as.integer(levels(groupLabel)), text.col = "black", pch = c(19, 19), bg = "gray90") - } - } - if (length(yn) == ncol(X)) - { - plot(yn, ylim = c(min(yn), max(yn)), type = "n", ylab = ylab, xlab = xlab, main = main, xaxt = "n") - tempVal = trunc(length(GraphRange)/nAxisPos) - xPos = c(0:nAxisPos) * tempVal -# axis(1, at = xPos, labels = xPos + startP + offside) - axis(1, at = xPos, labels = colnames(X)[xPos + startP + offside]) - lines(yn) - } -} \ No newline at end of file |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/MANUAL_INSTALL.txt --- a/normalization/galaxy/normalization/MANUAL_INSTALL.txt Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
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| @@ -1,44 +0,0 @@ -Instructions to integrate the NMR Normalization" tool into a local instance of Galaxy -Version mars 2015 M Tremblay-Franco - - -## --- R bin and Packages : --- ## -R version 3.0.2 (2013-09-25) -- "Frisbee Sailing -Platform: x86_64-redhat-linux-gnu (64-bit) - -Install the "batch" library, necessary for parseCommandArgs function: - - Download package source (*.tar.gz file) from your favorite CRAN (http://www.r-project.org/) -For example: http://cran.univ-lyon1.fr/ - - - Install package in your R session -install.packages("path/package_name.tar.gz",lib="path",repos=NULL) -For Example: install.packages("/usr/lib64/R/library/batch_1.1-4.tar",lib="/usr/lib64/R/library",repos=NULL) - - - Finally, load the package into your R session -library(batch) - - - -## --- Config : --- ## - - Edit the file "/galaxy/dist/galaxy-dist/tool_conf.xml" and add -<section id="id_name" name="Name"> - <tool file="path/NmrNormalization_xml.xml" /> -</section> -to create a new section containing the Nmr_Normalization tool -or add - <tool file="path/NmrNormalization_xml.xml" /> -in an existing section - - - Put the three files NmrNormalization_xml.xml, NmrNormalization_wrapper.R and NmrNormalization_script.R in a same directory -For example, path=/galaxy/dist/galaxy-dist/tools/stats - - - Edit the NmrBucketing_xml.xml file and change the path in the following lines - # R script - R --vanilla --slave --no-site-file --file=path/NmrNormalization_wrapper.R --args - - ## Library name for raw files storage - library path/$library - - - -Finally, restart Galaxy |
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| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/NmrNormalization_script.R --- a/normalization/galaxy/normalization/NmrNormalization_script.R Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,147 +0,0 @@ -################################################################################################################# -# SPECTRA NORMALIZATION FROM SPECTRAL DATA # -# User : Galaxy # -# Original data : -- # -# Starting date : 20-10-2014 # -# Version 1 : 27-01-2015 # -# Version 2 : 27-02-2015 # -# # -# Input files: # -# - Data matrix containing bucketed and integrated spectra to normalize # -# - Sample metadata matrix containing at least biological factor of interest # -# - Scaling method: Total intensity/Probabilistic Quotient Normalization # -# - Control group: name of control to compute median reference spectra # -# - Graph: normalization result representation # -################################################################################################################# -NmrNormalization <- function(dataMatrix,scalingMethod=c("None","Total","PQN","BioFactor"),sampleMetadata=NULL, - bioFactor=NULL,ControlGroup=NULL,graph=c("None","Overlay","One_per_individual"), - nomFichier=NULL,savLog.txtC=NULL) -{ - - ## Option - ##--------------- - strAsFacL <- options()$stringsAsFactors - options(stingsAsFactors = FALSE) - options(warn = -1) - - - ## Constants - ##--------------- - topEnvC <- environment() - flgC <- "\n" - - ## Log file (in case of integration into Galaxy) - ##---------------------------------------------- - if(!is.null(savLog.txtC)) - sink(savLog.txtC, append = TRUE) - - ## Functions definition - ##--------------------- - ################################################################################################################# - # Total intensity normalization - # Input parameters - # - data : bucketed spectra (rows=buckets; columns=samples) - ################################################################################################################# - NmrBrucker_total <- function(data) - { - # Total intensity normalization - data.total <- apply(data,2,sum) - data.normalized <- data[,1]/data.total[1] - for (i in 2:ncol(data)) - data.normalized <- cbind(data.normalized,data[,i]/data.total[i]) - colnames(data.normalized) <- colnames(data) - rownames(data.normalized) <- rownames(data) - return(data.normalized) - } - - - ################################################################################################################# - # Biological factor normalization - # Input parameters - # - data : bucketed spectra (rows=buckets; columns=samples) - # - sampleMetadata : dataframe with biological factor of interest measured for each invidual - # - bioFactor : name of the column cotaining the biological factor of interest - ################################################################################################################# - NmrBrucker_bioFact <- function(data,sampleMetadata,bioFactor) - { - # Total intensity normalization - data.normalized <- data[,1]/bioFactor[1] - for (i in 2:ncol(data)) - data.normalized <- cbind(data.normalized,data[,i]/bioFactor[i]) - colnames(data.normalized) <- colnames(data) - rownames(data.normalized) <- rownames(data) - return(data.normalized) - } - - - ################################################################################################################# - # Probabilistic quotient normalization (PQN) - # Input parameters - # - data : bucketed spectra (rows=buckets; columns=samples) - # - sampleMetadata : dataframe with treatment group of inviduals - # - pqnFactor : number of the column cotaining the biological facor of interest - # - nomControl : name of the treatment group - ################################################################################################################# - NmrBrucker_pqn <- function(data,sampleMetadata,pqnFactor,nomControl) - { - # Total intensity normalization - data.total <- apply(data,2,sum) - data.normalized <- data[,1]/data.total[1] - for (i in 2:ncol(data)) - data.normalized <- cbind(data.normalized,data[,i]/data.total[i]) - colnames(data.normalized) <- colnames(data) - rownames(data.normalized) <- rownames(data) - - # Reference spectrum - # Recuperation spectres individus controle - control.spectra <- data.normalized[,sampleMetadata[,pqnFactor]==nomControl] - spectrum.ref <- apply(control.spectra,1,median) - - # Ratio between normalized and reference spectra - data.normalized.ref <- data.normalized/spectrum.ref - - # Median ratio - data.normalized.ref.median <- apply(data.normalized.ref,1,median) - - # Normalization - data.normalizedPQN <- data.normalized[,1]/data.normalized.ref.median - for (i in 2:ncol(data)) - data.normalizedPQN <- cbind(data.normalizedPQN,data.normalized[,i]/data.normalized.ref.median) - colnames(data.normalizedPQN) <- colnames(data) - rownames(data.normalizedPQN) <- rownames(data) - - return(data.normalizedPQN) - } - - - ## Tests - if (scalingMethod=="QuantitativeVariable") - { - if(mode(sampleMetadata[,bioFactor]) == "character") - bioFact <- factor(sampleMetadata[,bioFactor]) - else - bioFact <- sampleMetadata[,bioFactor] - } - - ## Spectra scaling depending on the user choice - if (scalingMethod == "None") - { - NormalizedBucketedSpectra <- dataMatrix - } - else if (scalingMethod == "Total") - { - NormalizedBucketedSpectra <- NmrBrucker_total(dataMatrix) - } - else if (scalingMethod == "PQN") - { - NormalizedBucketedSpectra <- NmrBrucker_pqn(dataMatrix,sampleMetadata,bioFactor,ControlGroup) - } - else if (scalingMethod == "QuantitativeVariable") - { - NormalizedBucketedSpectra <- NmrBrucker_bioFact(dataMatrix,sampleMetadata,bioFact) - } - - ## OUTPUTS - return(list(NormalizedBucketedSpectra)) - -} |
| b |
| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/NmrNormalization_wrapper.R --- a/normalization/galaxy/normalization/NmrNormalization_wrapper.R Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,139 +0,0 @@ -#!/usr/local/public/bin/Rscript --vanilla --slave --no-site-file - -## 070115_NmrBucketing2galaxy_v1.R -## Marie Tremblay-Franco -## MetaboHUB: The French Infrastructure for Metabolomics and Fluxomics -## www.metabohub.fr/en -## marie.tremblay-franco@toulouse.inra.fr - -runExampleL <- FALSE - - -##------------------------------ -## Options -##------------------------------ -strAsFacL <- options()$stringsAsFactors -options(stringsAsFactors = FALSE) - - -##------------------------------ -## Libraries laoding -##------------------------------ -# For parseCommandArgs function -library(batch) - -# R script call -source_local <- function(fname) -{ - argv <- commandArgs(trailingOnly = FALSE) - base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)) - source(paste(base_dir, fname, sep="/")) -} -#Import the different functions -source_local("NmrNormalization_script.R") -source_local("DrawSpec.R") - - -##------------------------------ -## Errors ????????????????????? -##------------------------------ - - -##------------------------------ -## Constants -##------------------------------ -topEnvC <- environment() -flagC <- "\n" - - -##------------------------------ -## Script -##------------------------------ -if(!runExampleL) - argLs <- parseCommandArgs(evaluate=FALSE) - - -## Parameters Loading -##------------------- - # Inputs -data <- read.table(argLs[["dataMatrix"]],check.names=FALSE,header=TRUE,sep="\t") -rownames(data) <- data[,1] -data <- data[,-1] - -scaling <- argLs[["scalingMethod"]] -graphique <- argLs[["graphType"]] - -if (scaling=='PQN') -{ - metadataSample <- read.table(argLs[["sampleMetadata"]],check.names=FALSE,header=TRUE,sep="\t") - factor<- argLs[["factor"]] - ControlGroup <- argLs[["controlGroup"]] -} -if (scaling=='QuantitativeVariable') -{ - metadataSample <- read.table(argLs[["sampleMetadata"]],check.names=FALSE,header=TRUE,sep="\t") - factor <- argLs[["factor"]] -} - - # Outputs -nomGraphe <- argLs[["graphOut"]] -dataMatrixOut <- argLs[["dataMatrixOut"]] -log <- argLs[["logOut"]] - -## Checking arguments -##------------------- -error.stock <- "\n" - -if(length(error.stock) > 1) - stop(error.stock) - - -## Computation -##------------ -NormalizationResults <- NmrNormalization(dataMatrix=data,scalingMethod=scaling,sampleMetadata=metadataSample, - bioFactor=factor,ControlGroup=ControlGroup, - graph=graphique,nomFichier=nomGraphe,savLog.txtC=log) - -data_normalized <- NormalizationResults[[1]] - - -## Graphical outputs -##------------------ -if (graphique != "None") -{ - # Graphic Device opening - pdf(nomGraphe,onefile=TRUE) - - if (graphique == "Overlay") - { - # Global spectral window - spectra <- data.frame(t(data_normalized)) - drawSpec(spectra,xlab="", ylab="Intensity", main="") - } - else - { - for (i in 1:ncol(data_normalized)) - { - spectra <- t(data_normalized[,i]) - drawSpec(spectra,xlab="", ylab="Intensity", main=colnames(data_normalized)[i]) - } - } - dev.off() -} - - -## Saving -##------- - # Data -data_normalized <- cbind(rownames(data_normalized),data_normalized) -colnames(data_normalized) <- c("Bucket",colnames(data_normalized)[-1]) -write.table(data_normalized,file=argLs$dataMatrixOut,quote=FALSE,row.names=FALSE,sep="\t") - - -## Ending -##--------------------- -cat("\nEnd of 'Normalization' Galaxy module call: ", as.character(Sys.time()), sep = "") - -options(stringsAsFactors = strAsFacL) - -rm(list = ls()) |
| b |
| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/NmrNormalization_xml.xml --- a/normalization/galaxy/normalization/NmrNormalization_xml.xml Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| b'@@ -1,261 +0,0 @@\n-<tool id="normalization" name="Normalization" version="2.0.1">\r\n-\r\n- <description> Normalization of (preprocessed) spectra </description>\r\n-\r\n- <requirements>\r\n- <requirement type="package" version="3.1.2">R</requirement>\r\n- <requirement type="package" version="1.1_4">r-batch</requirement>\r\n- </requirements>\r\n-\r\n- <stdio>\r\n- <exit_code range="1:" level="fatal" />\r\n- </stdio>\r\n-\r\n- <command>\r\n- Rscript $__tool_directory__/NmrNormalization_wrapper.R\r\n-\r\n- ## Data matrix of bucketed and integrated spectra\r\n- dataMatrix $dataMatrix\r\n-\r\n- ## Normalization method\r\n- scalingMethod $scalingMethod.method\r\n- #if $scalingMethod.method == "PQN":\r\n- ## Sample metadata matrix\r\n- sampleMetadata $scalingMethod.sampleMetadata\r\n-\r\n- ## Biological factor of interest (column number in samplemetadata)\r\n- factor $scalingMethod.factor\r\n-\r\n- ## Reference class\r\n- controlGroup $scalingMethod.controlGroup\r\n- #end if\r\n- #if $scalingMethod.method == "QuantitativeVariable":\r\n- ## Sample metadata matrix\r\n- sampleMetadata $scalingMethod.sampleMetadata\r\n-\r\n- ## Biological factor of interest (column number in samplemetadata)\r\n- factor $scalingMethod.factor\r\n- #end if\r\n-\r\n- ## Spectra representation\r\n- graphType $graphType\r\n-\r\n- ## Outputs\r\n- logOut $logOut\r\n- dataMatrixOut $dataMatrixOut\r\n- graphOut $graphOut\r\n-\r\n-\r\n- </command>\r\n-\r\n- <inputs>\r\n- <param name="dataMatrix" type="data" label="Data matrix of preprocessed data" help="" format="tabular" />\r\n-\r\n- <conditional name="scalingMethod" >\r\n- <param name="method" label="Normalization method" type="select" help="Default method is total intensity" >\r\n- <option value="None">None normalization</option>\r\n- <option value="Total">Total intensity</option>\r\n- <option value="PQN">Probabilistic Quotient Normalization</option>\r\n- <option value="QuantitativeVariable">Quantitative variable</option>\r\n- </param>\r\n- <when value="None" />\r\n- <when value="Total" />\r\n- <when value="PQN">\r\n- <param name="sampleMetadata" type="data" label="Sample metadata matrix" help="" format="tabular" />\r\n- <param name="factor" label="Name of the column of the biological factor of interest (for PQN method)" type="text" />\r\n- <param name="controlGroup" label="Name of reference level for PQN normalization" type="text" help=""/>\r\n- </when>\r\n- <when value="QuantitativeVariable">\r\n- <param name="sampleMetadata" type="data" label="Sample metadata matrix" help="" format="tabular" />\r\n- <param name="factor" label="Name of the column of the numerical variable for normalization (weight, osmolality, ...)" type="text" />\r\n- </when>\r\n- </conditional>\r\n-\r\n- <param name="graphType" label="Spectra representation" type="select" help="Select \'None\' for no representation,\'Overlay\' to overlay all spectra on a unique chart and \'One per individual\' to generate an individual chart for each observation">\r\n- <option value="None"> none </option>\r\n- <option value="Overlay"> Overlay </option>\r\n- <option value="One_per_individual"> One_per_individual </option>\r\n- </param>\r\n- </inputs>\r\n-\r\n-\r\n- <outputs>\r\n- <data format="txt" name="logOut" label="${tool.name}_log" />\r\n- <data format="tabular" name="dataMatrixOut" label="${tool.name}_dataMatrix" />\r\n- <data format="pdf" name="graphOut" label="${tool.name}_spectra" >\r\n- <filter> graphType != "None" </filter>\r\n- </data>\r\n- '..b' | parameter |\r\n-+======================+====================================+=========+=============+\r\n-| NMR_Bucketing | Normalization_bucketedData.tsv | tabular | Ions Matrix |\r\n-+----------------------+------------------------------------+---------+-------------+\r\n-\r\n-\r\n-\r\n-\r\n-**Downstream tools**\r\n-\r\n-+---------------------------+----------------------+--------+\r\n-| Name | Output file | Format |\r\n-+===========================+======================+========+\r\n-|Univariate | variableMetadata.tsv | Tabular|\r\n-+---------------------------+----------------------+--------+\r\n-|Multivariate | sampleMetadata.tsv | Tabular|\r\n-+---------------------------+----------------------+--------+\r\n-| | variableMetadata.tsv | Tabular|\r\n-+---------------------------+----------------------+--------+\r\n-\r\n-\r\n------------\r\n-Input files\r\n------------\r\n-\r\n-+---------------------------+------------+\r\n-| Parameter : num + label | Format |\r\n-+===========================+============+\r\n-| DataMatrix | Tabular |\r\n-+---------------------------+------------+\r\n-\r\n-**DataMAtrix**\r\n-\r\n- | variable x sample dataMatrix tabular separated file containing (preprocessed) spectra, with . as decimal, and NA for missing values\r\n-\r\n-\r\n-----------\r\n-Parameters\r\n-----------\r\n-\r\n-DataMatrix\r\n- | see "Input files" section above\r\n- |\r\n-\r\n-Normalization method\r\n- | normalization to apply on each spectrum:\r\n-\r\n-+---------------------------+--------------------------------------+\r\n-| Name | Normalization |\r\n-+===========================+======================================+\r\n-|None | No |\r\n-+---------------------------+--------------------------------------+\r\n-|Total | Total intensity |\r\n-+---------------------------+--------------------------------------+\r\n-|PQN | Probabilistic Quotient Normalization |\r\n-+---------------------------+--------------------------------------+\r\n-|QuantitativeVariable | Weight, osmolality, ... |\r\n-+---------------------------+--------------------------------------+\r\n-\r\n-\r\n-sampleMetadata\r\n- | sample x metadata **sample** tabular separated file of the numeric and/or character sample metadata, with . as decimal and NA for missing values\r\n- | Mandatory for "PQN" or "Quantitative" normalization method\r\n- | The row names must be identical to the column names of the dataMatrix file\r\n- |\r\n-\r\n-\r\n-Spectra representation:\r\n- | Graphical chart of bucketed and integrated raw files\r\n- | If "Overlay": the n (sample number) spectra are overlaid on the same figure\r\n- | If "One_per_individual": pdf file includes n pages (1 per sample)\r\n- |\r\n-\r\n-\r\n-------------\r\n-Output files\r\n-------------\r\n-\r\n-\r\n-dataMatrix.tsv\r\n- | tabular output\r\n- | Data matrix with p rows (variable) and n columns (samples) containing the intensities\r\n- |\r\n-\r\n-spectra.pdf\r\n- | pdf output\r\n- | Graphical chart of bucketed and integrated data\r\n- |\r\n-\r\n-\r\n----------------------------------------------------\r\n-\r\n----------------\r\n-Working example\r\n----------------\r\n-\r\n-\r\n-.. class:: warningmark\r\n-\r\n-Under construction\r\n-\r\n-.. image:: ./static/images/Mth_Travaux.png\r\n- :width: 100\r\n-\r\n-\r\n----------------------------------------------------\r\n-\r\n---------------\r\n-Changelog/News\r\n---------------\r\n-\r\n-**Version 1.0.2 - 22/10/2016**\r\n-\r\n-- NEW: this tool was previously named NMR Normalization. It had been generalize to deal with all kind of preprocessed data\r\n-\r\n-**Version 1.0.1 - 14/04/2016**\r\n-\r\n-- TEST: refactoring to pass planemo test using conda dependencies\r\n-\r\n-**Version 2015-01-28 - 28/01/2015**\r\n-\r\n- </help>\r\n- <citations>\r\n- <citation type="doi">10.1093/bioinformatics/btu813</citation>\r\n- </citations>\r\n-</tool>\r\n' |
| b |
| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/README.rst --- a/normalization/galaxy/normalization/README.rst Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| @@ -1,22 +0,0 @@ - -Changelog/News --------------- - -**Version 1.0.2 - 22/10/2016** - -- NEW: this tool was previously named NMR Normalization. It had been generalize to deal with all kind of preprocessed data - -**Version 1.0.1 - 14/04/2016** - -- TEST: refactoring to pass planemo test using conda dependencies - -**Version 2015-01-28 - 28/01/2015** - - - -Test Status ------------ - -Planemo test using conda: passed - -Planemo shed_test: passed |
| b |
| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/planemo_test.sh --- a/normalization/galaxy/normalization/planemo_test.sh Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,12 +0,0 @@ -planemo conda_init -planemo conda_install . -planemo test --install_galaxy --conda_dependency_resolution - -#All 1 test(s) executed passed. -#NmrNormalization[0]: passed - -planemo shed_test --install_galaxy -t testtoolshed - -#All 1 test(s) executed passed. -#testtoolshed.g2.bx.psu.edu/repos/marie-tremblay-metatoul/nmr_normalization/NmrNormalization/1.0.1[0]: passed - |
| b |
| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/test-data/MTBLS1_bucketedData.tabular --- a/normalization/galaxy/normalization/test-data/MTBLS1_bucketedData.tabular Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| b'@@ -1,595 +0,0 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|
| b |
| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/test-data/MTBLS1_bucketedData_normalized.tabular --- a/normalization/galaxy/normalization/test-data/MTBLS1_bucketedData_normalized.tabular Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| b'@@ -1,595 +0,0 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|
| b |
| diff -r f9554d5bb47e -r 3cd762aac7a4 normalization/galaxy/normalization/tool_dependencies.xml --- a/normalization/galaxy/normalization/tool_dependencies.xml Thu Mar 02 12:23:13 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| @@ -1,9 +0,0 @@ -<?xml version="1.0"?> -<tool_dependency> - <package name="R" version="3.1.2"> - <repository changeset_revision="4d2fd1413b56" name="package_r_3_1_2" owner="iuc" toolshed="https://toolshed.g2.bx.psu.edu" /> - </package> - <package name="r-batch" version="1.1_4"> - <repository changeset_revision="e8a964ca8656" name="package_r_batch_1_1_4" owner="lecorguille" toolshed="https://toolshed.g2.bx.psu.edu" /> - </package> -</tool_dependency> |
