# HG changeset patch # User lecorguille # Date 1491565025 14400 # Node ID de0d85537ee38d0ad6eb42c482f2a3dd3a80af8c # Parent 6caa60dcc2170c82247dda61326332fcda364569 planemo upload for repository https://github.com/workflow4metabolomics/xcms commit a6f5f18b3d6130f7d7fbb9f2df856838c6217797 diff -r 6caa60dcc217 -r de0d85537ee3 Makefile --- a/Makefile Tue Feb 07 04:05:02 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,23 +0,0 @@ -# USAGE: make [install|clean] - -# -------- VARIABLE -------- - -OBJ=xcms_fillpeaks.tgz -DEP=abims_xcms_fillPeaks.xml tool_dependencies.xml repository_dependencies.xml static test-data - - -# ------------------------ - -all: $(OBJ) - -$(OBJ): $(DEP) - tar --exclude=".svn" -zchf $@ $^ - -# ------------------------ - -install: $(OBJ) - mv *.tgz ~ - -clean: - rm *.tgz - diff -r 6caa60dcc217 -r de0d85537ee3 README.rst --- a/README.rst Tue Feb 07 04:05:02 2017 -0500 +++ b/README.rst Fri Apr 07 07:37:05 2017 -0400 @@ -2,6 +2,12 @@ Changelog/News -------------- +**Version 2.1.0 - 07/02/2017** + +- IMPROVEMENT: change the management of the peaklist ids. The main ids remain the same as xcms generated. The export setiings now only add custom names in the variableMetadata tab (namecustom) + +- IMPROVEMENT: xcms.fillpeaks can deal with merged individual data + **Version 2.0.8 - 22/12/2016** - IMPROVEMENT: Add an option to export the peak list at this step without have to wait camara.annotate @@ -29,15 +35,3 @@ - IMPROVEMENT: new datatype/dataset formats (rdata.xcms.raw, rdata.xcms.group, rdata.xcms.retcor ...) will facilitate the sequence of tools and so avoid incompatibility errors. - IMPROVEMENT: parameter labels have changed to facilitate their reading. - - -Test Status ------------ - -Planemo test using conda: passed - -Planemo test using source env.sh: passed - -Planemo shed_test : passed - - diff -r 6caa60dcc217 -r de0d85537ee3 abims_xcms_fillPeaks.xml --- a/abims_xcms_fillPeaks.xml Tue Feb 07 04:05:02 2017 -0500 +++ b/abims_xcms_fillPeaks.xml Fri Apr 07 07:37:05 2017 -0400 @@ -1,4 +1,4 @@ - + Integrate a sample's signal in regions where peak groups are not represented to create new peaks in missing areas @@ -12,22 +12,15 @@ chrom - - - - - - - - - - - - - - - + + + + - - (peaklist['peaklistBool']) - - - (peaklist['peaklistBool']) - + @@ -93,8 +70,30 @@ - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -269,6 +268,12 @@ Changelog/News -------------- +**Version 2.1.0 - 07/02/2017** + +- IMPROVEMENT: change the management of the peaklist ids. The main ids remain the same as xcms generated. The export setiings now only add custom names in the variableMetadata tab (namecustom) + +- IMPROVEMENT: xcms.fillpeaks can deal with merged individual data + **Version 2.0.8 - 22/12/2016** - IMPROVEMENT: Add an option to export the peak list at this step without having to wait for CAMERA.annotate @@ -281,7 +286,6 @@ - TEST: refactoring to pass planemo test using conda dependencies - **Version 2.0.5 - 10/02/2016** - BUGFIX: better management of errors. Datasets remained green although the process failed diff -r 6caa60dcc217 -r de0d85537ee3 lib.r --- a/lib.r Tue Feb 07 04:05:02 2017 -0500 +++ b/lib.r Fri Apr 07 07:37:05 2017 -0400 @@ -27,168 +27,165 @@ #@author G. Le Corguille #This function format ions identifiers -formatIonIdentifiers <- function(dataData, numDigitsRT=0, numDigitsMZ=0) { - return(make.unique(paste0("M",round(dataData[,"mz"],numDigitsMZ),"T",round(dataData[,"rt"],numDigitsRT)))) +formatIonIdentifiers <- function(variableMetadata, numDigitsRT=0, numDigitsMZ=0) { + splitDeco = strsplit(as.character(variableMetadata$name),"_") + idsDeco = sapply(splitDeco, function(x) { deco=unlist(x)[2]; if (is.na(deco)) return ("") else return(paste0("_",deco)) }) + namecustom = make.unique(paste0("M",round(variableMetadata[,"mz"],numDigitsMZ),"T",round(variableMetadata[,"rt"],numDigitsRT),idsDeco)) + variableMetadata=cbind(name=variableMetadata$name, namecustom=namecustom, variableMetadata[,!(colnames(variableMetadata) %in% c("name"))]) + return(variableMetadata) } #@author G. Le Corguille # value: intensity values to be used into, maxo or intb getPeaklistW4M <- function(xset, intval="into",convertRTMinute=F,numDigitsMZ=4,numDigitsRT=0,variableMetadataOutput,dataMatrixOutput) { - groups <- xset@groups - values <- groupval(xset, "medret", value=intval) - - # renamming of the column rtmed to rt to fit with camera peaklist function output - colnames(groups)[colnames(groups)=="rtmed"] <- "rt" - colnames(groups)[colnames(groups)=="mzmed"] <- "mz" - - ids <- formatIonIdentifiers(groups, numDigitsRT=numDigitsRT, numDigitsMZ=numDigitsMZ) - groups = RTSecondToMinute(groups, convertRTMinute) + variableMetadata_dataMatrix = peakTable(xset, method="medret", value=intval) + variableMetadata_dataMatrix = cbind(name=groupnames(xset),variableMetadata_dataMatrix) + + dataMatrix = variableMetadata_dataMatrix[,(make.names(colnames(variableMetadata_dataMatrix)) %in% c("name", make.names(sampnames(xset))))] - rownames(groups) = ids - rownames(values) = ids + variableMetadata = variableMetadata_dataMatrix[,!(make.names(colnames(variableMetadata_dataMatrix)) %in% c(make.names(sampnames(xset))))] + variableMetadata = RTSecondToMinute(variableMetadata, convertRTMinute) + variableMetadata = formatIonIdentifiers(variableMetadata, numDigitsRT=numDigitsRT, numDigitsMZ=numDigitsMZ) - #@TODO: add "name" as the first column name - #colnames(groups)[1] = "name" - #colnames(values)[1] = "name" - - write.table(groups, file=variableMetadataOutput,sep="\t",quote=F,row.names = T,col.names = NA) - write.table(values, file=dataMatrixOutput,sep="\t",quote=F,row.names = T,col.names = NA) + write.table(variableMetadata, file=variableMetadataOutput,sep="\t",quote=F,row.names=F) + write.table(dataMatrix, file=dataMatrixOutput,sep="\t",quote=F,row.names=F) } #@author Y. Guitton getBPC <- function(file,rtcor=NULL, ...) { - object <- xcmsRaw(file) - sel <- profRange(object, ...) - cbind(if (is.null(rtcor)) object@scantime[sel$scanidx] else rtcor ,xcms:::colMax(object@env$profile[sel$massidx,sel$scanidx,drop=FALSE])) - #plotChrom(xcmsRaw(file), base=T) + object <- xcmsRaw(file) + sel <- profRange(object, ...) + cbind(if (is.null(rtcor)) object@scantime[sel$scanidx] else rtcor ,xcms:::colMax(object@env$profile[sel$massidx,sel$scanidx,drop=FALSE])) + #plotChrom(xcmsRaw(file), base=T) } #@author Y. Guitton getBPCs <- function (xcmsSet=NULL, pdfname="BPCs.pdf",rt=c("raw","corrected"), scanrange=NULL) { - cat("Creating BIC pdf...\n") + cat("Creating BIC pdf...\n") - if (is.null(xcmsSet)) { - cat("Enter an xcmsSet \n") - stop() - } else { - files <- filepaths(xcmsSet) - } + if (is.null(xcmsSet)) { + cat("Enter an xcmsSet \n") + stop() + } else { + files <- filepaths(xcmsSet) + } - class<-as.vector(levels(xcmsSet@phenoData[,1])) #sometime phenoData have more than 1 column use first as class + phenoDataClass<-as.vector(levels(xcmsSet@phenoData[,1])) #sometime phenoData have more than 1 column use first as class - classnames<-vector("list",length(class)) - for (i in 1:length(class)){ - classnames[[i]]<-which( xcmsSet@phenoData[,1]==class[i]) - } + classnames<-vector("list",length(phenoDataClass)) + for (i in 1:length(phenoDataClass)){ + classnames[[i]]<-which( xcmsSet@phenoData[,1]==phenoDataClass[i]) + } - N <- dim(phenoData(xcmsSet))[1] + N <- dim(phenoData(xcmsSet))[1] - TIC <- vector("list",N) + TIC <- vector("list",N) - for (j in 1:N) { + for (j in 1:N) { - TIC[[j]] <- getBPC(files[j]) - #good for raw - # seems strange for corrected - #errors if scanrange used in xcmsSetgeneration - if (!is.null(xcmsSet) && rt == "corrected") - rtcor <- xcmsSet@rt$corrected[[j]] else - rtcor <- NULL + TIC[[j]] <- getBPC(files[j]) + #good for raw + # seems strange for corrected + #errors if scanrange used in xcmsSetgeneration + if (!is.null(xcmsSet) && rt == "corrected") + rtcor <- xcmsSet@rt$corrected[[j]] + else + rtcor <- NULL - TIC[[j]] <- getBPC(files[j],rtcor=rtcor) - # TIC[[j]][,1]<-rtcor - } + TIC[[j]] <- getBPC(files[j],rtcor=rtcor) + # TIC[[j]][,1]<-rtcor + } - pdf(pdfname,w=16,h=10) - cols <- rainbow(N) - lty = 1:N - pch = 1:N - #search for max x and max y in BPCs - xlim = range(sapply(TIC, function(x) range(x[,1]))) - ylim = range(sapply(TIC, function(x) range(x[,2]))) - ylim = c(-ylim[2], ylim[2]) + pdf(pdfname,w=16,h=10) + cols <- rainbow(N) + lty = 1:N + pch = 1:N + #search for max x and max y in BPCs + xlim = range(sapply(TIC, function(x) range(x[,1]))) + ylim = range(sapply(TIC, function(x) range(x[,2]))) + ylim = c(-ylim[2], ylim[2]) - ##plot start + ##plot start - if (length(class)>2){ - for (k in 1:(length(class)-1)){ - for (l in (k+1):length(class)){ - #print(paste(class[k],"vs",class[l],sep=" ")) - plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",class[k]," vs ",class[l], sep=""), xlab = "Retention Time (min)", ylab = "BPC") + if (length(phenoDataClass)>2){ + for (k in 1:(length(phenoDataClass)-1)){ + for (l in (k+1):length(phenoDataClass)){ + #print(paste(phenoDataClass[k],"vs",phenoDataClass[l],sep=" ")) + plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",phenoDataClass[k]," vs ",phenoDataClass[l], sep=""), xlab = "Retention Time (min)", ylab = "BPC") + colvect<-NULL + for (j in 1:length(classnames[[k]])) { + tic <- TIC[[classnames[[k]][j]]] + # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") + points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") + colvect<-append(colvect,cols[classnames[[k]][j]]) + } + for (j in 1:length(classnames[[l]])) { + # i=class2names[j] + tic <- TIC[[classnames[[l]][j]]] + points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") + colvect<-append(colvect,cols[classnames[[l]][j]]) + } + legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) + } + } + }#end if length >2 + + if (length(phenoDataClass)==2){ + k=1 + l=2 colvect<-NULL + plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",phenoDataClass[k],"vs",phenoDataClass[l], sep=""), xlab = "Retention Time (min)", ylab = "BPC") + for (j in 1:length(classnames[[k]])) { - tic <- TIC[[classnames[[k]][j]]] - # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") - points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") - colvect<-append(colvect,cols[classnames[[k]][j]]) + + tic <- TIC[[classnames[[k]][j]]] + # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") + points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") + colvect<-append(colvect,cols[classnames[[k]][j]]) } for (j in 1:length(classnames[[l]])) { - # i=class2names[j] - tic <- TIC[[classnames[[l]][j]]] - points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") - colvect<-append(colvect,cols[classnames[[l]][j]]) + # i=class2names[j] + tic <- TIC[[classnames[[l]][j]]] + points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") + colvect<-append(colvect,cols[classnames[[l]][j]]) } legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) - } - } - }#end if length >2 + + }#end length ==2 - if (length(class)==2){ - k=1 - l=2 - colvect<-NULL - plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",class[k],"vs",class[l], sep=""), xlab = "Retention Time (min)", ylab = "BPC") - - for (j in 1:length(classnames[[k]])) { + #case where only one class + if (length(phenoDataClass)==1){ + k=1 + ylim = range(sapply(TIC, function(x) range(x[,2]))) + colvect<-NULL + plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",phenoDataClass[k], sep=""), xlab = "Retention Time (min)", ylab = "BPC") - tic <- TIC[[classnames[[k]][j]]] - # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") - points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") - colvect<-append(colvect,cols[classnames[[k]][j]]) - } - for (j in 1:length(classnames[[l]])) { - # i=class2names[j] - tic <- TIC[[classnames[[l]][j]]] - points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") - colvect<-append(colvect,cols[classnames[[l]][j]]) - } - legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) - - }#end length ==2 + for (j in 1:length(classnames[[k]])) { + tic <- TIC[[classnames[[k]][j]]] + # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") + points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") + colvect<-append(colvect,cols[classnames[[k]][j]]) + } - #case where only one class - if (length(class)==1){ - k=1 - ylim = range(sapply(TIC, function(x) range(x[,2]))) - colvect<-NULL - plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",class[k], sep=""), xlab = "Retention Time (min)", ylab = "BPC") + legend("topright",paste(basename(files[c(classnames[[k]])])), col = colvect, lty = lty, pch = pch) + + }#end length ==1 - for (j in 1:length(classnames[[k]])) { - tic <- TIC[[classnames[[k]][j]]] - # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") - points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") - colvect<-append(colvect,cols[classnames[[k]][j]]) - } + dev.off() #pdf(pdfname,w=16,h=10) - legend("topright",paste(basename(files[c(classnames[[k]])])), col = colvect, lty = lty, pch = pch) - - }#end length ==1 - - dev.off() #pdf(pdfname,w=16,h=10) - - invisible(TIC) + invisible(TIC) } #@author Y. Guitton getTIC <- function(file,rtcor=NULL) { - object <- xcmsRaw(file) - cbind(if (is.null(rtcor)) object@scantime else rtcor, rawEIC(object,mzrange=range(object@env$mz))$intensity) + object <- xcmsRaw(file) + cbind(if (is.null(rtcor)) object@scantime else rtcor, rawEIC(object,mzrange=range(object@env$mz))$intensity) } ## @@ -196,114 +193,112 @@ ## #@author Y. Guitton getTICs <- function(xcmsSet=NULL,files=NULL, pdfname="TICs.pdf",rt=c("raw","corrected")) { - cat("Creating TIC pdf...\n") + cat("Creating TIC pdf...\n") - if (is.null(xcmsSet)) { - filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]", "[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") - filepattern <- paste(paste("\\.", filepattern, "$", sep = ""), collapse = "|") - if (is.null(files)) - files <- getwd() - info <- file.info(files) - listed <- list.files(files[info$isdir], pattern = filepattern, recursive = TRUE, full.names = TRUE) - files <- c(files[!info$isdir], listed) - } else { - files <- filepaths(xcmsSet) - } - - class<-as.vector(levels(xcmsSet@phenoData[,1])) #sometime phenoData have more than 1 column use first as class + if (is.null(xcmsSet)) { + filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]", "[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") + filepattern <- paste(paste("\\.", filepattern, "$", sep = ""), collapse = "|") + if (is.null(files)) + files <- getwd() + info <- file.info(files) + listed <- list.files(files[info$isdir], pattern = filepattern, recursive = TRUE, full.names = TRUE) + files <- c(files[!info$isdir], listed) + } else { + files <- filepaths(xcmsSet) + } - classnames<-vector("list",length(class)) - for (i in 1:length(class)){ - classnames[[i]]<-which( xcmsSet@phenoData[,1]==class[i]) - } + phenoDataClass<-as.vector(levels(xcmsSet@phenoData[,1])) #sometime phenoData have more than 1 column use first as class + classnames<-vector("list",length(phenoDataClass)) + for (i in 1:length(phenoDataClass)){ + classnames[[i]]<-which( xcmsSet@phenoData[,1]==phenoDataClass[i]) + } - N <- length(files) - TIC <- vector("list",N) + N <- length(files) + TIC <- vector("list",N) - for (i in 1:N) { - if (!is.null(xcmsSet) && rt == "corrected") - rtcor <- xcmsSet@rt$corrected[[i]] else - rtcor <- NULL - TIC[[i]] <- getTIC(files[i],rtcor=rtcor) - } + for (i in 1:N) { + if (!is.null(xcmsSet) && rt == "corrected") + rtcor <- xcmsSet@rt$corrected[[i]] else + rtcor <- NULL + TIC[[i]] <- getTIC(files[i],rtcor=rtcor) + } - pdf(pdfname,w=16,h=10) - cols <- rainbow(N) - lty = 1:N - pch = 1:N - #search for max x and max y in TICs - xlim = range(sapply(TIC, function(x) range(x[,1]))) - ylim = range(sapply(TIC, function(x) range(x[,2]))) - ylim = c(-ylim[2], ylim[2]) + pdf(pdfname,w=16,h=10) + cols <- rainbow(N) + lty = 1:N + pch = 1:N + #search for max x and max y in TICs + xlim = range(sapply(TIC, function(x) range(x[,1]))) + ylim = range(sapply(TIC, function(x) range(x[,2]))) + ylim = c(-ylim[2], ylim[2]) - ##plot start - if (length(class)>2){ - for (k in 1:(length(class)-1)){ - for (l in (k+1):length(class)){ - #print(paste(class[k],"vs",class[l],sep=" ")) - plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Total Ion Chromatograms \n","TICs_",class[k]," vs ",class[l], sep=""), xlab = "Retention Time (min)", ylab = "TIC") + ##plot start + if (length(phenoDataClass)>2){ + for (k in 1:(length(phenoDataClass)-1)){ + for (l in (k+1):length(phenoDataClass)){ + #print(paste(phenoDataClass[k],"vs",phenoDataClass[l],sep=" ")) + plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Total Ion Chromatograms \n","TICs_",phenoDataClass[k]," vs ",phenoDataClass[l], sep=""), xlab = "Retention Time (min)", ylab = "TIC") + colvect<-NULL + for (j in 1:length(classnames[[k]])) { + tic <- TIC[[classnames[[k]][j]]] + # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") + points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") + colvect<-append(colvect,cols[classnames[[k]][j]]) + } + for (j in 1:length(classnames[[l]])) { + # i=class2names[j] + tic <- TIC[[classnames[[l]][j]]] + points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") + colvect<-append(colvect,cols[classnames[[l]][j]]) + } + legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) + } + } + }#end if length >2 + if (length(phenoDataClass)==2){ + k=1 + l=2 + + plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Total Ion Chromatograms \n","TICs_",phenoDataClass[k],"vs",phenoDataClass[l], sep=""), xlab = "Retention Time (min)", ylab = "TIC") colvect<-NULL for (j in 1:length(classnames[[k]])) { - - tic <- TIC[[classnames[[k]][j]]] - # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") - points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") - colvect<-append(colvect,cols[classnames[[k]][j]]) + tic <- TIC[[classnames[[k]][j]]] + # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") + points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") + colvect<-append(colvect,cols[classnames[[k]][j]]) } for (j in 1:length(classnames[[l]])) { - # i=class2names[j] - tic <- TIC[[classnames[[l]][j]]] - points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") - colvect<-append(colvect,cols[classnames[[l]][j]]) + # i=class2names[j] + tic <- TIC[[classnames[[l]][j]]] + points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") + colvect<-append(colvect,cols[classnames[[l]][j]]) } legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) - } - } - }#end if length >2 - if (length(class)==2){ - k=1 - l=2 + + }#end length ==2 - plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Total Ion Chromatograms \n","TICs_",class[k],"vs",class[l], sep=""), xlab = "Retention Time (min)", ylab = "TIC") - colvect<-NULL - for (j in 1:length(classnames[[k]])) { - tic <- TIC[[classnames[[k]][j]]] - # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") - points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") - colvect<-append(colvect,cols[classnames[[k]][j]]) - } - for (j in 1:length(classnames[[l]])) { - # i=class2names[j] - tic <- TIC[[classnames[[l]][j]]] - points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") - colvect<-append(colvect,cols[classnames[[l]][j]]) - } - legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) + #case where only one class + if (length(phenoDataClass)==1){ + k=1 + ylim = range(sapply(TIC, function(x) range(x[,2]))) - }#end length ==2 - - #case where only one class - if (length(class)==1){ - k=1 - ylim = range(sapply(TIC, function(x) range(x[,2]))) + plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Total Ion Chromatograms \n","TICs_",phenoDataClass[k], sep=""), xlab = "Retention Time (min)", ylab = "TIC") + colvect<-NULL + for (j in 1:length(classnames[[k]])) { + tic <- TIC[[classnames[[k]][j]]] + # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") + points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") + colvect<-append(colvect,cols[classnames[[k]][j]]) + } - plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Total Ion Chromatograms \n","TICs_",class[k], sep=""), xlab = "Retention Time (min)", ylab = "TIC") - colvect<-NULL - for (j in 1:length(classnames[[k]])) { - tic <- TIC[[classnames[[k]][j]]] - # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") - points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") - colvect<-append(colvect,cols[classnames[[k]][j]]) - } + legend("topright",paste(basename(files[c(classnames[[k]])])), col = colvect, lty = lty, pch = pch) + + }#end length ==1 - legend("topright",paste(basename(files[c(classnames[[k]])])), col = colvect, lty = lty, pch = pch) - - }#end length ==1 + dev.off() #pdf(pdfname,w=16,h=10) - dev.off() #pdf(pdfname,w=16,h=10) - - invisible(TIC) + invisible(TIC) } @@ -313,70 +308,70 @@ #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM getSampleMetadata <- function(xcmsSet=NULL, sampleMetadataOutput="sampleMetadata.tsv") { - cat("Creating the sampleMetadata file...\n") - - #Create the sampleMetada dataframe - sampleMetadata=xset@phenoData - sampleNamesOrigin=rownames(sampleMetadata) - sampleNamesMakeNames=make.names(sampleNamesOrigin) + cat("Creating the sampleMetadata file...\n") - if (any(duplicated(sampleNamesMakeNames))) { - write("\n\nERROR: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names().\nIn your case, at least two columns after the renaming obtain the same name, thus XCMS will collapse those columns per name.", stderr()) - for (sampleName in sampleNamesOrigin) { - write(paste(sampleName,"\t->\t",make.names(sampleName)),stderr()) - } - stop("\n\nERROR: One or more of your files will not be import by xcmsSet. It may due to bad characters in their filenames.") - } - - if (!all(sampleNamesOrigin == sampleNamesMakeNames)) { - cat("\n\nWARNING: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names()\nIn your case, one or more sample names will be renamed in the sampleMetadata and dataMatrix files:\n") - for (sampleName in sampleNamesOrigin) { - cat(paste(sampleName,"\t->\t",make.names(sampleName),"\n")) - } - } - - sampleMetadata$sampleMetadata=sampleNamesMakeNames - sampleMetadata=cbind(sampleMetadata["sampleMetadata"],sampleMetadata["class"]) #Reorder columns - rownames(sampleMetadata)=NULL + #Create the sampleMetada dataframe + sampleMetadata=xset@phenoData + sampleNamesOrigin=rownames(sampleMetadata) + sampleNamesMakeNames=make.names(sampleNamesOrigin) - #Create a list of files name in the current directory - list_files=xset@filepaths - #For each sample file, the following actions are done - for (file in list_files){ - #Check if the file is in the CDF format - if (!mzR:::netCDFIsFile(file)){ - - # If the column isn't exist, with add one filled with NA - if (is.null(sampleMetadata$polarity)) sampleMetadata$polarity=NA + if (any(duplicated(sampleNamesMakeNames))) { + write("\n\nERROR: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names().\nIn your case, at least two columns after the renaming obtain the same name, thus XCMS will collapse those columns per name.", stderr()) + for (sampleName in sampleNamesOrigin) { + write(paste(sampleName,"\t->\t",make.names(sampleName)),stderr()) + } + stop("\n\nERROR: One or more of your files will not be import by xcmsSet. It may due to bad characters in their filenames.") + } - #Create a simple xcmsRaw object for each sample - xcmsRaw=xcmsRaw(file) - #Extract the polarity (a list of polarities) - polarity=xcmsRaw@polarity - #Verify if all the scans have the same polarity - uniq_list=unique(polarity) - if (length(uniq_list)>1){ - polarity="mixed" - } else { - polarity=as.character(uniq_list) - } - #Transforms the character to obtain only the sample name - filename=basename(file) - library(tools) - samplename=file_path_sans_ext(filename) - - #Set the polarity attribute - sampleMetadata$polarity[sampleMetadata$sampleMetadata==samplename]=polarity - - #Delete xcmsRaw object because it creates a bug for the fillpeaks step - rm(xcmsRaw) + if (!all(sampleNamesOrigin == sampleNamesMakeNames)) { + cat("\n\nWARNING: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names()\nIn your case, one or more sample names will be renamed in the sampleMetadata and dataMatrix files:\n") + for (sampleName in sampleNamesOrigin) { + cat(paste(sampleName,"\t->\t",make.names(sampleName),"\n")) + } } - } + sampleMetadata$sampleMetadata=sampleNamesMakeNames + sampleMetadata=cbind(sampleMetadata["sampleMetadata"],sampleMetadata["class"]) #Reorder columns + rownames(sampleMetadata)=NULL + + #Create a list of files name in the current directory + list_files=xset@filepaths + #For each sample file, the following actions are done + for (file in list_files){ + #Check if the file is in the CDF format + if (!mzR:::netCDFIsFile(file)){ + + # If the column isn't exist, with add one filled with NA + if (is.null(sampleMetadata$polarity)) sampleMetadata$polarity=NA - write.table(sampleMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=sampleMetadataOutput) + #Create a simple xcmsRaw object for each sample + xcmsRaw=xcmsRaw(file) + #Extract the polarity (a list of polarities) + polarity=xcmsRaw@polarity + #Verify if all the scans have the same polarity + uniq_list=unique(polarity) + if (length(uniq_list)>1){ + polarity="mixed" + } else { + polarity=as.character(uniq_list) + } + #Transforms the character to obtain only the sample name + filename=basename(file) + library(tools) + samplename=file_path_sans_ext(filename) - return(list("sampleNamesOrigin"=sampleNamesOrigin,"sampleNamesMakeNames"=sampleNamesMakeNames)) + #Set the polarity attribute + sampleMetadata$polarity[sampleMetadata$sampleMetadata==samplename]=polarity + + #Delete xcmsRaw object because it creates a bug for the fillpeaks step + rm(xcmsRaw) + } + + } + + write.table(sampleMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=sampleMetadataOutput) + + return(list("sampleNamesOrigin"=sampleNamesOrigin,"sampleNamesMakeNames"=sampleNamesMakeNames)) } @@ -386,29 +381,28 @@ ## #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM checkFilesCompatibilityWithXcms <- function(directory) { - cat("Checking files filenames compatibilities with xmcs...\n") - # WHAT XCMS WILL FIND - filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") - filepattern <- paste(paste("\\.", filepattern, "$", sep = ""),collapse = "|") - info <- file.info(directory) - listed <- list.files(directory[info$isdir], pattern = filepattern,recursive = TRUE, full.names = TRUE) - files <- c(directory[!info$isdir], listed) - files_abs <- file.path(getwd(), files) - exists <- file.exists(files_abs) - files[exists] <- files_abs[exists] - files[exists] <- sub("//","/",files[exists]) + cat("Checking files filenames compatibilities with xmcs...\n") + # WHAT XCMS WILL FIND + filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") + filepattern <- paste(paste("\\.", filepattern, "$", sep = ""),collapse = "|") + info <- file.info(directory) + listed <- list.files(directory[info$isdir], pattern = filepattern,recursive = TRUE, full.names = TRUE) + files <- c(directory[!info$isdir], listed) + files_abs <- file.path(getwd(), files) + exists <- file.exists(files_abs) + files[exists] <- files_abs[exists] + files[exists] <- sub("//","/",files[exists]) - # WHAT IS ON THE FILESYSTEM - filesystem_filepaths=system(paste("find $PWD/",directory," -not -name '\\.*' -not -path '*conda-env*' -type f -name \"*\"", sep=""), intern=T) - filesystem_filepaths=filesystem_filepaths[grep(filepattern, filesystem_filepaths, perl=T)] + # WHAT IS ON THE FILESYSTEM + filesystem_filepaths=system(paste("find $PWD/",directory," -not -name '\\.*' -not -path '*conda-env*' -type f -name \"*\"", sep=""), intern=T) + filesystem_filepaths=filesystem_filepaths[grep(filepattern, filesystem_filepaths, perl=T)] - # COMPARISON - if (!is.na(table(filesystem_filepaths %in% files)["FALSE"])) { - write("\n\nERROR: List of the files which will not be imported by xcmsSet",stderr()) - write(filesystem_filepaths[!(filesystem_filepaths %in% files)],stderr()) - stop("\n\nERROR: One or more of your files will not be import by xcmsSet. It may due to bad characters in their filenames.") - - } + # COMPARISON + if (!is.na(table(filesystem_filepaths %in% files)["FALSE"])) { + write("\n\nERROR: List of the files which will not be imported by xcmsSet",stderr()) + write(filesystem_filepaths[!(filesystem_filepaths %in% files)],stderr()) + stop("\n\nERROR: One or more of your files will not be import by xcmsSet. It may due to bad characters in their filenames.") + } } @@ -418,17 +412,17 @@ ## #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM checkXmlStructure <- function (directory) { - cat("Checking XML structure...\n") + cat("Checking XML structure...\n") - cmd=paste("IFS=$'\n'; for xml in $(find",directory,"-not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'); do if [ $(xmllint --nonet --noout \"$xml\" 2> /dev/null; echo $?) -gt 0 ]; then echo $xml;fi; done;") - capture=system(cmd,intern=TRUE) + cmd=paste("IFS=$'\n'; for xml in $(find",directory,"-not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'); do if [ $(xmllint --nonet --noout \"$xml\" 2> /dev/null; echo $?) -gt 0 ]; then echo $xml;fi; done;") + capture=system(cmd,intern=TRUE) - if (length(capture)>0){ - #message=paste("The following mzXML or mzML file is incorrect, please check these files first:",capture) - write("\n\nERROR: The following mzXML or mzML file(s) are incorrect, please check these files first:", stderr()) - write(capture, stderr()) - stop("ERROR: xcmsSet cannot continue with incorrect mzXML or mzML files") - } + if (length(capture)>0){ + #message=paste("The following mzXML or mzML file is incorrect, please check these files first:",capture) + write("\n\nERROR: The following mzXML or mzML file(s) are incorrect, please check these files first:", stderr()) + write(capture, stderr()) + stop("ERROR: xcmsSet cannot continue with incorrect mzXML or mzML files") + } } @@ -438,23 +432,23 @@ ## #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM deleteXmlBadCharacters<- function (directory) { - cat("Checking Non ASCII characters in the XML...\n") + cat("Checking Non ASCII characters in the XML...\n") - processed=F - l=system( paste("find",directory, "-not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'"),intern=TRUE) - for (i in l){ - cmd=paste("LC_ALL=C grep '[^ -~]' \"",i,"\"",sep="") - capture=suppressWarnings(system(cmd,intern=TRUE)) - if (length(capture)>0){ - cmd=paste("perl -i -pe 's/[^[:ascii:]]//g;'",i) - print( paste("WARNING: Non ASCII characters have been removed from the ",i,"file") ) - c=system(cmd,intern=TRUE) - capture="" - processed=T + processed=F + l=system( paste("find",directory, "-not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'"),intern=TRUE) + for (i in l){ + cmd=paste("LC_ALL=C grep '[^ -~]' \"",i,"\"",sep="") + capture=suppressWarnings(system(cmd,intern=TRUE)) + if (length(capture)>0){ + cmd=paste("perl -i -pe 's/[^[:ascii:]]//g;'",i) + print( paste("WARNING: Non ASCII characters have been removed from the ",i,"file") ) + c=system(cmd,intern=TRUE) + capture="" + processed=T + } } - } - if (processed) cat("\n\n") - return(processed) + if (processed) cat("\n\n") + return(processed) } @@ -463,19 +457,99 @@ ## #@author Gildas Le Corguille lecorguille@sb-roscoff.fr getMd5sum <- function (directory) { - cat("Compute md5 checksum...\n") - # WHAT XCMS WILL FIND - filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") - filepattern <- paste(paste("\\.", filepattern, "$", sep = ""),collapse = "|") - info <- file.info(directory) - listed <- list.files(directory[info$isdir], pattern = filepattern,recursive = TRUE, full.names = TRUE) - files <- c(directory[!info$isdir], listed) - exists <- file.exists(files) - files <- files[exists] + cat("Compute md5 checksum...\n") + # WHAT XCMS WILL FIND + filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") + filepattern <- paste(paste("\\.", filepattern, "$", sep = ""),collapse = "|") + info <- file.info(directory) + listed <- list.files(directory[info$isdir], pattern = filepattern,recursive = TRUE, full.names = TRUE) + files <- c(directory[!info$isdir], listed) + exists <- file.exists(files) + files <- files[exists] + + library(tools) + + #cat("\n\n") + + return(as.matrix(md5sum(files))) +} + + +# This function get the raw file path from the arguments +getRawfilePathFromArguments <- function(singlefile, zipfile, listArguments) { + if (!is.null(listArguments[["zipfile"]])) zipfile = listArguments[["zipfile"]] + if (!is.null(listArguments[["zipfilePositive"]])) zipfile = listArguments[["zipfilePositive"]] + if (!is.null(listArguments[["zipfileNegative"]])) zipfile = listArguments[["zipfileNegative"]] + + if (!is.null(listArguments[["singlefile_galaxyPath"]])) { + singlefile_galaxyPaths = listArguments[["singlefile_galaxyPath"]]; + singlefile_sampleNames = listArguments[["singlefile_sampleName"]] + } + if (!is.null(listArguments[["singlefile_galaxyPathPositive"]])) { + singlefile_galaxyPaths = listArguments[["singlefile_galaxyPathPositive"]]; + singlefile_sampleNames = listArguments[["singlefile_sampleNamePositive"]] + } + if (!is.null(listArguments[["singlefile_galaxyPathNegative"]])) { + singlefile_galaxyPaths = listArguments[["singlefile_galaxyPathNegative"]]; + singlefile_sampleNames = listArguments[["singlefile_sampleNameNegative"]] + } + if (exists("singlefile_galaxyPaths")){ + singlefile_galaxyPaths = unlist(strsplit(singlefile_galaxyPaths,",")) + singlefile_sampleNames = unlist(strsplit(singlefile_sampleNames,",")) - library(tools) + singlefile=NULL + for (singlefile_galaxyPath_i in seq(1:length(singlefile_galaxyPaths))) { + singlefile_galaxyPath=singlefile_galaxyPaths[singlefile_galaxyPath_i] + singlefile_sampleName=singlefile_sampleNames[singlefile_galaxyPath_i] + singlefile[[singlefile_sampleName]] = singlefile_galaxyPath + } + } + for (argument in c("zipfile","zipfilePositive","zipfileNegative","singlefile_galaxyPath","singlefile_sampleName","singlefile_galaxyPathPositive","singlefile_sampleNamePositive","singlefile_galaxyPathNegative","singlefile_sampleNameNegative")) { + listArguments[[argument]]=NULL + } + return(list(zipfile=zipfile, singlefile=singlefile, listArguments=listArguments)) +} + + +# This function retrieve the raw file in the working directory +# - if zipfile: unzip the file with its directory tree +# - if singlefiles: set symlink with the good filename +retrieveRawfileInTheWorkingDirectory <- function(singlefile, zipfile) { + if(!is.null(singlefile) && (length("singlefile")>0)) { + for (singlefile_sampleName in names(singlefile)) { + singlefile_galaxyPath = singlefile[[singlefile_sampleName]] + if(!file.exists(singlefile_galaxyPath)){ + error_message=paste("Cannot access the sample:",singlefile_sampleName,"located:",singlefile_galaxyPath,". Please, contact your administrator ... if you have one!") + print(error_message); stop(error_message) + } - #cat("\n\n") + file.symlink(singlefile_galaxyPath,singlefile_sampleName) + } + directory = "." + + } + if(!is.null(zipfile) && (zipfile!="")) { + if(!file.exists(zipfile)){ + error_message=paste("Cannot access the Zip file:",zipfile,". Please, contact your administrator ... if you have one!") + print(error_message) + stop(error_message) + } + + #list all file in the zip file + #zip_files=unzip(zipfile,list=T)[,"Name"] - return(as.matrix(md5sum(files))) + #unzip + suppressWarnings(unzip(zipfile, unzip="unzip")) + + #get the directory name + filesInZip=unzip(zipfile, list=T); + directories=unique(unlist(lapply(strsplit(filesInZip$Name,"/"), function(x) x[1]))); + directories=directories[!(directories %in% c("__MACOSX")) & file.info(directories)$isdir] + directory = "." + if (length(directories) == 1) directory = directories + + cat("files_root_directory\t",directory,"\n") + + } + return (directory) } diff -r 6caa60dcc217 -r de0d85537ee3 macros.xml --- a/macros.xml Tue Feb 07 04:05:02 2017 -0500 +++ b/macros.xml Fri Apr 07 07:37:05 2017 -0400 @@ -7,6 +7,11 @@ r-batch + + + bioconductor-xcms + + @@ -20,41 +25,101 @@ ; return=\$?; - mv log.txt $log; - cat $log; + mv log.txt '$log'; + cat '$log'; sh -c "exit \$return" - - #if $zipfile_load_conditional.zipfile_load_select == "yes": - #if $zipfile_load_conditional.zip_file: - zipfile $zipfile_load_conditional.zip_file + + #if $file_load_section.file_load_conditional.file_load_select == "yes": + #if $file_load_section.file_load_conditional.input[0].is_of_type("mzxml") or $file_load_section.file_load_conditional.input[0].is_of_type("mzml") or $file_load_section.file_load_conditional.input[0].is_of_type("mzdata") or $file_load_section.file_load_conditional.input[0].is_of_type("netcdf"): + #set singlefile_galaxyPath = ','.join( [ str( $single_file ) for $single_file in $file_load_section.file_load_conditional.input ] ) + #set singlefile_sampleName = ','.join( [ str( $single_file.name ) for $single_file in $file_load_section.file_load_conditional.input ] ) + + singlefile_galaxyPath '$singlefile_galaxyPath' singlefile_sampleName '$singlefile_sampleName' + #else + zipfile '$file_load_section.file_load_conditional.input' #end if #end if - - - - - - - + +
+ + + + + + + + + + + +
+ + + +
+ + + + +
+ + + +
+ + + + +
+ + + + #if $peaklist.peaklistBool + variableMetadataOutput '$variableMetadata' + dataMatrixOutput '$dataMatrix' + convertRTMinute $peaklist.convertRTMinute + numDigitsMZ $peaklist.numDigitsMZ + numDigitsRT $peaklist.numDigitsRT + intval $peaklist.intval + #end if + + + + + + + + + + + + + + - - - + - + + + (peaklist['peaklistBool']) + + + (peaklist['peaklistBool']) + + .. class:: infomark -**Authors** Colin A. Smith csmith@scripps.edu, Ralf Tautenhahn rtautenh@gmail.com, Steffen Neumann sneumann@ipb-halle.de, Paul Benton hpaul.benton08@imperial.ac.uk and Christopher Conley cjconley@ucdavis.edu +**Authors** Colin A. Smith csmith@scripps.edu, Ralf Tautenhahn rtautenh@gmail.com, Steffen Neumann sneumann@ipb-halle.de, Paul Benton hpaul.benton08@imperial.ac.uk and Christopher Conley cjconley@ucdavis.edu .. class:: infomark diff -r 6caa60dcc217 -r de0d85537ee3 planemo_test.sh --- a/planemo_test.sh Tue Feb 07 04:05:02 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,26 +0,0 @@ -# Example of planemo command to launch test - - -# -- Use of installed package environments -# after having installing package on a local galaxy instance -source /w/galaxy/dev/shed_tools_tool_dependency_dir/R/3.1.2/iuc/package_r_3_1_2/1ca39eb16186/env.sh -source /w/galaxy/dev/shed_tools_tool_dependency_dir/bioconductor-xcms/1.44.0/lecorguille/package_bioconductor_xcms_1_44_0/0c38f7d43e08/env.sh -planemo test --install_galaxy - -#All 1 test(s) executed passed. -#abims_xcms_fillPeaks[0]: passed - - -# -- Use of conda dependencies -planemo conda_init --conda_prefix /tmp/mc -planemo conda_install --conda_prefix /tmp/mc . -planemo test --install_galaxy --conda_prefix /tmp/mc --conda_dependency_resolution - -#All 1 test(s) executed passed. -#abims_xcms_fillPeaks[0]: passed - - -# -- Use of shed_test -planemo shed_test --install_galaxy --galaxy_branch "dev" -t testtoolshed -#All 1 test(s) executed passed. -#testtoolshed.g2.bx.psu.edu/repos/lecorguille/xcms_fillpeaks/abims_xcms_fillPeaks/2.0.6[0]: passed diff -r 6caa60dcc217 -r de0d85537ee3 static/images/xcms_fillpeaks_workflow.png Binary file static/images/xcms_fillpeaks_workflow.png has changed diff -r 6caa60dcc217 -r de0d85537ee3 test-data/faahKO-single.xset.merged.group.retcor.group.RData Binary file test-data/faahKO-single.xset.merged.group.retcor.group.RData has changed diff -r 6caa60dcc217 -r de0d85537ee3 test-data/faahKO.xset.group.retcor.group.fillPeaks.dataMatrix.tsv --- a/test-data/faahKO.xset.group.retcor.group.fillPeaks.dataMatrix.tsv Tue Feb 07 04:05:02 2017 -0500 +++ b/test-data/faahKO.xset.group.retcor.group.fillPeaks.dataMatrix.tsv Fri Apr 07 07:37:05 2017 -0400 @@ -1,8158 +1,8158 @@ - ko15 ko16 wt15 wt16 -M200.1T2873.7 76871.5724822568 506848.884266667 54795.557051693 70712.7019597617 -M200.2T3876.7 1144.01499999999 508.190132093174 167.153311923928 0 -M200.2T3676.2 0 0 5108.15999999988 3298.99587926868 -M200.2T3485.7 6029.94499999992 0 0 0 -M200.2T3529.2 0 0 4586.52650000006 0 -M200.2T3184.4 0 4333.4849999999 0 0 -M200.3T3816.6 0 0 1018.81499999998 0 -M200.3T3977.6 0 0 0 1242.61000000004 -M200.8T3543.6 0 2863.6449999999 0 0 -M200.8T4062.6 0 0 1339.64000000005 212.633272048894 -M200.8T3783.3 0 0 1680.81000000006 0 -M200.9T3273.9 0 1428.56579382624 4090.91000000014 2632.56262635375 -M200.9T2555.9 0 14307.2299999999 0 0 -M200.9T3625.9 0 1129.74329389996 846.832572052814 2931.24499999993 -M201.1T3138.4 23998.304598303 254581.758476187 61872.928839246 23938.5867670927 -M201.2T3509.4 4023.61499999999 716.684794188254 0 0 -M201.2T4065.7 354.759136757153 120.799333675191 1275.47500000004 217.235067034405 -M201.2T3687.2 0 0 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test-data/ko16.CDF Binary file test-data/ko16.CDF has changed diff -r 6caa60dcc217 -r de0d85537ee3 test-data/wt15.CDF Binary file test-data/wt15.CDF has changed diff -r 6caa60dcc217 -r de0d85537ee3 test-data/wt16.CDF Binary file test-data/wt16.CDF has changed diff -r 6caa60dcc217 -r de0d85537ee3 tool_dependencies.xml --- a/tool_dependencies.xml Tue Feb 07 04:05:02 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,9 +0,0 @@ - - - - - - - - - diff -r 6caa60dcc217 -r de0d85537ee3 xcms.r --- a/xcms.r Tue Feb 07 04:05:02 2017 -0500 +++ b/xcms.r Fri Apr 07 07:37:05 2017 -0400 @@ -15,8 +15,8 @@ #pkgs=c("xcms","batch") pkgs=c("parallel","BiocGenerics", "Biobase", "Rcpp", "mzR", "xcms","snow","batch") for(pkg in pkgs) { - suppressPackageStartupMessages( stopifnot( library(pkg, quietly=TRUE, logical.return=TRUE, character.only=TRUE))) - cat(pkg,"\t",as.character(packageVersion(pkg)),"\n",sep="") + suppressPackageStartupMessages( stopifnot( library(pkg, quietly=TRUE, logical.return=TRUE, character.only=TRUE))) + cat(pkg,"\t",as.character(packageVersion(pkg)),"\n",sep="") } source_local <- function(fname){ argv <- commandArgs(trailingOnly = FALSE); base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)); source(paste(base_dir, fname, sep="/")) } cat("\n\n"); @@ -38,7 +38,7 @@ #image is an .RData file necessary to use xset variable given by previous tools if (!is.null(listArguments[["image"]])){ - load(listArguments[["image"]]); listArguments[["image"]]=NULL + load(listArguments[["image"]]); listArguments[["image"]]=NULL } #Import the different functions @@ -61,110 +61,67 @@ xsetRdataOutput = paste(thefunction,"RData",sep=".") if (!is.null(listArguments[["xsetRdataOutput"]])){ - xsetRdataOutput = listArguments[["xsetRdataOutput"]]; listArguments[["xsetRdataOutput"]]=NULL + xsetRdataOutput = listArguments[["xsetRdataOutput"]]; listArguments[["xsetRdataOutput"]]=NULL } #saving the specific parameters rplotspdf = "Rplots.pdf" if (!is.null(listArguments[["rplotspdf"]])){ - rplotspdf = listArguments[["rplotspdf"]]; listArguments[["rplotspdf"]]=NULL + rplotspdf = listArguments[["rplotspdf"]]; listArguments[["rplotspdf"]]=NULL } sampleMetadataOutput = "sampleMetadata.tsv" if (!is.null(listArguments[["sampleMetadataOutput"]])){ - sampleMetadataOutput = listArguments[["sampleMetadataOutput"]]; listArguments[["sampleMetadataOutput"]]=NULL + sampleMetadataOutput = listArguments[["sampleMetadataOutput"]]; listArguments[["sampleMetadataOutput"]]=NULL } variableMetadataOutput = "variableMetadata.tsv" if (!is.null(listArguments[["variableMetadataOutput"]])){ - variableMetadataOutput = listArguments[["variableMetadataOutput"]]; listArguments[["variableMetadataOutput"]]=NULL + variableMetadataOutput = listArguments[["variableMetadataOutput"]]; listArguments[["variableMetadataOutput"]]=NULL } dataMatrixOutput = "dataMatrix.tsv" if (!is.null(listArguments[["dataMatrixOutput"]])){ - dataMatrixOutput = listArguments[["dataMatrixOutput"]]; listArguments[["dataMatrixOutput"]]=NULL + dataMatrixOutput = listArguments[["dataMatrixOutput"]]; listArguments[["dataMatrixOutput"]]=NULL } if (!is.null(listArguments[["convertRTMinute"]])){ - convertRTMinute = listArguments[["convertRTMinute"]]; listArguments[["convertRTMinute"]]=NULL + convertRTMinute = listArguments[["convertRTMinute"]]; listArguments[["convertRTMinute"]]=NULL } if (!is.null(listArguments[["numDigitsMZ"]])){ - numDigitsMZ = listArguments[["numDigitsMZ"]]; listArguments[["numDigitsMZ"]]=NULL + numDigitsMZ = listArguments[["numDigitsMZ"]]; listArguments[["numDigitsMZ"]]=NULL } if (!is.null(listArguments[["numDigitsRT"]])){ numDigitsRT = listArguments[["numDigitsRT"]]; listArguments[["numDigitsRT"]]=NULL } if (!is.null(listArguments[["intval"]])){ - intval = listArguments[["intval"]]; listArguments[["intval"]]=NULL + intval = listArguments[["intval"]]; listArguments[["intval"]]=NULL } if (thefunction %in% c("xcmsSet","retcor")) { - ticspdf = listArguments[["ticspdf"]]; listArguments[["ticspdf"]]=NULL - bicspdf = listArguments[["bicspdf"]]; listArguments[["bicspdf"]]=NULL -} - -#necessary to unzip .zip file uploaded to Galaxy -#thanks to .zip file it's possible to upload many file as the same time conserving the tree hierarchy of directories - - -if (!is.null(listArguments[["zipfile"]])){ - zipfile= listArguments[["zipfile"]]; listArguments[["zipfile"]]=NULL -} - -if (!is.null(listArguments[["library"]])){ - directory=listArguments[["library"]]; listArguments[["library"]]=NULL - if(!file.exists(directory)){ - error_message=paste("Cannot access the directory:",directory,". Please verify if the directory exists or not.") - print(error_message) - stop(error_message) - } + ticspdf = listArguments[["ticspdf"]]; listArguments[["ticspdf"]]=NULL + bicspdf = listArguments[["bicspdf"]]; listArguments[["bicspdf"]]=NULL } -# We unzip automatically the chromatograms from the zip files. + if (thefunction %in% c("xcmsSet","retcor","fillPeaks")) { - if(exists("zipfile") && (zipfile!="")) { - if(!file.exists(zipfile)){ - error_message=paste("Cannot access the Zip file:",zipfile,". Please, contact your administrator ... if you have one!") - print(error_message) - stop(error_message) - } - - #list all file in the zip file - #zip_files=unzip(zipfile,list=T)[,"Name"] - - - #unzip - suppressWarnings(unzip(zipfile, unzip="unzip")) - - #get the directory name - filesInZip=unzip(zipfile, list=T); - directories=unique(unlist(lapply(strsplit(filesInZip$Name,"/"), function(x) x[1]))); - directories=directories[!(directories %in% c("__MACOSX")) & file.info(directories)$isdir] - directory = "." - if (length(directories) == 1) directory = directories - - cat("files_root_directory\t",directory,"\n") - - # + if (!exists("singlefile")) singlefile=NULL + if (!exists("zipfile")) zipfile=NULL + rawFilePath = getRawfilePathFromArguments(singlefile, zipfile, listArguments) + zipfile = rawFilePath$zipfile + singlefile = rawFilePath$singlefile + listArguments = rawFilePath$listArguments + directory = retrieveRawfileInTheWorkingDirectory(singlefile, zipfile) md5sumList=list("origin"=getMd5sum(directory)) - - # Check and fix if there are non ASCII characters. If so, they will be removed from the *mzXML mzML files. - # Remove because can create issue with some clean files - #@TODO: fix me - #if (deleteXmlBadCharacters(directory)) { - # md5sumList=list("removalBadCharacters"=getMd5sum(directory)) - #} - - } } #addition of the directory to the list of arguments in the first position if (thefunction == "xcmsSet") { - checkXmlStructure(directory) - checkFilesCompatibilityWithXcms(directory) - listArguments=append(directory, listArguments) + checkXmlStructure(directory) + checkFilesCompatibilityWithXcms(directory) + listArguments=append(directory, listArguments) } #addition of xset object to the list of arguments in the first position if (exists("xset")){ - listArguments=append(list(xset), listArguments) + listArguments=append(list(xset), listArguments) } cat("\n\n") @@ -172,8 +129,6 @@ - - # ----- MAIN PROCESSING INFO ----- cat("\tMAIN PROCESSING INFO\n") @@ -181,12 +136,12 @@ #Verification of a group step before doing the fillpeaks job. if (thefunction == "fillPeaks") { - res=try(is.null(groupnames(xset))) - if (class(res) == "try-error"){ - error<-geterrmessage() - write(error, stderr()) - stop("You must always do a group step after a retcor. Otherwise it won't work for the fillpeaks step") - } + res=try(is.null(groupnames(xset))) + if (class(res) == "try-error"){ + error<-geterrmessage() + write(error, stderr()) + stop("You must always do a group step after a retcor. Otherwise it won't work for the fillpeaks step") + } } @@ -194,7 +149,7 @@ #dev.new(file="Rplots.pdf", width=16, height=12) pdf(file=rplotspdf, width=16, height=12) if (thefunction == "group") { - par(mfrow=c(2,2)) + par(mfrow=c(2,2)) } #else if (thefunction == "retcor") { #try to change the legend display @@ -208,6 +163,11 @@ cat("\t\tCOMPUTE\n") xset = do.call(thefunction, listArguments) +# check if there are no peaks +if (nrow(peaks(xset)) == 0) { + stop("No peaks were detected. You should review your settings") +} + cat("\n\n") @@ -215,40 +175,38 @@ if (thefunction == "xcmsSet") { - #transform the files absolute pathways into relative pathways - xset@filepaths<-sub(paste(getwd(),"/",sep="") ,"", xset@filepaths) + #transform the files absolute pathways into relative pathways + xset@filepaths<-sub(paste(getwd(),"/",sep="") ,"", xset@filepaths) + if(exists("zipfile") && !is.null(zipfile) && (zipfile!="")) { - if(exists("zipfile") && (zipfile!="")) { + #Modify the samples names (erase the path) + for(i in 1:length(sampnames(xset))){ - #Modify the samples names (erase the path) - for(i in 1:length(sampnames(xset))){ + sample_name=unlist(strsplit(sampnames(xset)[i], "/")) + sample_name=sample_name[length(sample_name)] + sample_name= unlist(strsplit(sample_name,"[.]"))[1] + sampnames(xset)[i]=sample_name - sample_name=unlist(strsplit(sampnames(xset)[i], "/")) - sample_name=sample_name[length(sample_name)] - sample_name= unlist(strsplit(sample_name,"[.]"))[1] - sampnames(xset)[i]=sample_name + } } - } - } # -- TIC -- if (thefunction == "xcmsSet") { - cat("\t\tGET TIC GRAPH\n") - sampleNamesList = getSampleMetadata(xcmsSet=xset, sampleMetadataOutput=sampleMetadataOutput) - getTICs(xcmsSet=xset, pdfname=ticspdf,rt="raw") - getBPCs(xcmsSet=xset,rt="raw",pdfname=bicspdf) + cat("\t\tGET TIC GRAPH\n") + sampleNamesList = getSampleMetadata(xcmsSet=xset, sampleMetadataOutput=sampleMetadataOutput) + getTICs(xcmsSet=xset, pdfname=ticspdf,rt="raw") + getBPCs(xcmsSet=xset,rt="raw",pdfname=bicspdf) } else if (thefunction == "retcor") { - cat("\t\tGET TIC GRAPH\n") - getTICs(xcmsSet=xset, pdfname=ticspdf,rt="corrected") - getBPCs(xcmsSet=xset,rt="corrected",pdfname=bicspdf) + cat("\t\tGET TIC GRAPH\n") + getTICs(xcmsSet=xset, pdfname=ticspdf,rt="corrected") + getBPCs(xcmsSet=xset,rt="corrected",pdfname=bicspdf) } -if (thefunction == "fillPeaks" && exists("intval")) { - cat("\t\tGET THE PEAK LIST\n") - getPeaklistW4M(xset,intval,convertRTMinute,numDigitsMZ,numDigitsRT,variableMetadataOutput,dataMatrixOutput) +if ((thefunction == "group" || thefunction == "fillPeaks") && exists("intval")) { + getPeaklistW4M(xset,intval,convertRTMinute,numDigitsMZ,numDigitsRT,variableMetadataOutput,dataMatrixOutput) } @@ -262,7 +220,7 @@ #saving R data in .Rdata file to save the variables used in the present tool -objects2save = c("xset","zipfile","listOFlistArguments","md5sumList","sampleNamesList") +objects2save = c("xset","zipfile","singlefile","listOFlistArguments","md5sumList","sampleNamesList") save(list=objects2save[objects2save %in% ls()], file=xsetRdataOutput) cat("\n\n")