Mercurial > repos > lecorguille > xcms_fillpeaks
changeset 11:de0d85537ee3 draft
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit a6f5f18b3d6130f7d7fbb9f2df856838c6217797
| author | lecorguille |
|---|---|
| date | Fri, 07 Apr 2017 07:37:05 -0400 |
| parents | 6caa60dcc217 |
| children | dcb9041cb9ea |
| files | Makefile README.rst abims_xcms_fillPeaks.xml lib.r macros.xml planemo_test.sh static/images/xcms_fillpeaks_workflow.png test-data/faahKO-single.xset.merged.group.retcor.group.RData test-data/faahKO.xset.group.retcor.group.fillPeaks.dataMatrix.tsv test-data/faahKO.xset.group.retcor.group.fillPeaks.variableMetadata.tsv test-data/ko15.CDF test-data/ko16.CDF test-data/wt15.CDF test-data/wt16.CDF tool_dependencies.xml xcms.r |
| diffstat | 16 files changed, 16750 insertions(+), 16713 deletions(-) [+] |
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--- 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 -
--- 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 - -
--- 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 @@ -<tool id="abims_xcms_fillPeaks" name="xcms.fillPeaks" version="2.0.8"> +<tool id="abims_xcms_fillPeaks" name="xcms.fillPeaks" version="2.1.0"> <description>Integrate a sample's signal in regions where peak groups are not represented to create new peaks in missing areas</description> @@ -12,22 +12,15 @@ <command><![CDATA[ @COMMAND_XCMS_SCRIPT@ xfunction fillPeaks - image $image + image '$image' - xsetRdataOutput $xsetRData + xsetRdataOutput '$xsetRData' method $method - #if $peaklist.peaklistBool - variableMetadataOutput $variableMetadata - dataMatrixOutput $dataMatrix - convertRTMinute $peaklist.convertRTMinute - numDigitsMZ $peaklist.numDigitsMZ - numDigitsRT $peaklist.numDigitsRT - intval $peaklist.intval - #end if + @COMMAND_PEAKLIST@ - @COMMAND_ZIPFILE_LOAD@ + @COMMAND_FILE_LOAD@ @COMMAND_LOG_EXIT@ @@ -39,32 +32,16 @@ <option value="chrom" selected="true">chrom</option> <option value="MSW" >MSW</option> </param> - <conditional name="peaklist"> - <param name="peaklistBool" type="boolean" label="Get a Peak List" /> - <when value="true"> - <param name="convertRTMinute" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="Convert retention time (seconds) into minutes" help="Convert the columns rtmed, rtmin and rtmax into minutes"/> - <param name="numDigitsMZ" type="integer" value="4" label="Number of decimal places for mass values reported in ions' identifiers." help="A minimum of 4 decimal places is recommended. Useful to avoid duplicates within identifiers" /> - <param name="numDigitsRT" type="integer" value="0" label="Number of decimal places for retention time values reported in ions' identifiers." help="Useful to avoid duplicates within identifiers" /> - <param name="intval" type="select" label="Reported intensity values" help="[intval] See the help section below"> - <option value="into" selected="true">into</option> - <option value="maxo">maxo</option> - <option value="intb">intb</option> - </param> - </when> - <when value="false" /> - </conditional> - <expand macro="zipfile_load"/> + + <expand macro="input_peaklist"/> + + <expand macro="input_file_load"/> </inputs> <outputs> <data name="xsetRData" format="rdata.xcms.fillpeaks" label="${image.name[:-6]}.fillPeaks.RData" /> - <data name="variableMetadata" format="tabular" label="${image.name[:-6]}.fillPeaks.variableMetadata.tsv"> - <filter>(peaklist['peaklistBool'])</filter> - </data> - <data name="dataMatrix" format="tabular" label="${image.name[:-6]}.fillPeaks.dataMatrix.tsv" > - <filter>(peaklist['peaklistBool'])</filter> - </data> + <expand macro="output_peaklist" function="fillpeaks" /> <data name="log" format="txt" label="xset.log.txt" hidden="true" /> </outputs> @@ -93,8 +70,30 @@ <param name="numDigitsMZ" value="4" /> <param name="numDigitsRT" value="1" /> </conditional> - <param name="zipfile_load_conditional|zipfile_load_select" value="yes" /> - <param name="zipfile_load_conditional|zip_file" value="faahKO_reduce.zip" ftype="zip" /> + <expand macro="test_file_load_zip"/> + <output name="log"> + <assert_contents> + <has_text text="object with 4 samples" /> + <has_text text="Time range: 2506-4484 seconds (41.8-74.7 minutes)" /> + <has_text text="Mass range: 200.1-600 m/z" /> + <has_text text="Peaks: 32720 (about 8180 per sample)" /> + <has_text text="Peak Groups: 8157" /> + <has_text text="Sample classes: KO, WT" /> + </assert_contents> + </output> + <output name="variableMetadata" file="faahKO.xset.group.retcor.group.fillPeaks.variableMetadata.tsv" /> + <output name="dataMatrix" file="faahKO.xset.group.retcor.group.fillPeaks.dataMatrix.tsv" /> + </test> + <test> + <param name="image" value="faahKO-single.xset.merged.group.retcor.group.RData"/> + <param name="method" value="chrom"/> + <conditional name="peaklist"> + <param name="convertRTMinute" value="false" /> + <param name="peaklistBool" value="true" /> + <param name="numDigitsMZ" value="4" /> + <param name="numDigitsRT" value="1" /> + </conditional> + <expand macro="test_file_load_single"/> <output name="log"> <assert_contents> <has_text text="object with 4 samples" /> @@ -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
--- 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) }
--- 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 @@ <requirement type="package" version="1.1_4">r-batch</requirement> </requirements> </xml> + <xml name="requirements_light"> + <requirements> + <requirement type="package" version="1.46.0">bioconductor-xcms</requirement> + </requirements> + </xml> <xml name="stdio"> <stdio> <exit_code range="1" level="fatal" /> @@ -20,41 +25,101 @@ <token name="@COMMAND_LOG_EXIT@"> ; return=\$?; - mv log.txt $log; - cat $log; + mv log.txt '$log'; + cat '$log'; sh -c "exit \$return" </token> <!-- zipfile load for planemo test --> - <token name="@COMMAND_ZIPFILE_LOAD@"> - #if $zipfile_load_conditional.zipfile_load_select == "yes": - #if $zipfile_load_conditional.zip_file: - zipfile $zipfile_load_conditional.zip_file + <token name="@COMMAND_FILE_LOAD@"> + #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 </token> - <xml name="zipfile_load"> - <conditional name="zipfile_load_conditional"> - <param name="zipfile_load_select" type="select" label="Resubmit your zip file" help="Use only if you get a message which say that your original zip file have been deleted on the server." > - <option value="no" >no need</option> - <option value="yes">yes</option> - </param> - <when value="no"> + <xml name="input_file_load"> + <section name="file_load_section" title="Resubmit your raw dataset or your zip file"> + <conditional name="file_load_conditional"> + <param name="file_load_select" type="select" label="Resubmit your dataset or your zip file" help="Use only if you get a message which say that your original dataset or zip file have been deleted on the server." > + <option value="no" >no need</option> + <option value="yes" >yes</option> + </param> + <when value="no"> + </when> + <when value="yes"> + <param name="input" type="data" format="mzxml,mzml,mzdata,netcdf,no_unzip.zip,zip" multiple="true" label="File(s) from your history containing your chromatograms" help="Single file mode for the format: mzxml, mzml, mzdata and netcdf. Zip file mode for the format: no_unzip.zip, zip. See the help section below." /> + </when> + </conditional> + </section> + </xml> + + <xml name="test_file_load_zip"> + <section name="file_load_section"> + <conditional name="file_load_conditional"> + <param name="file_load_select" value="yes" /> + <param name="input" value="faahKO_reduce.zip" ftype="zip" /> + </conditional> + </section> + </xml> + + <xml name="test_file_load_single"> + <section name="file_load_section"> + <conditional name="file_load_conditional"> + <param name="file_load_select" value="yes" /> + <param name="input" value="wt15.CDF,ko16.CDF,ko15.CDF,wt16.CDF" ftype="netcdf" /> + </conditional> + </section> + </xml> + + <token name="@COMMAND_PEAKLIST@"> + #if $peaklist.peaklistBool + variableMetadataOutput '$variableMetadata' + dataMatrixOutput '$dataMatrix' + convertRTMinute $peaklist.convertRTMinute + numDigitsMZ $peaklist.numDigitsMZ + numDigitsRT $peaklist.numDigitsRT + intval $peaklist.intval + #end if + </token> + + <xml name="input_peaklist"> + <conditional name="peaklist"> + <param name="peaklistBool" type="boolean" label="Get a Peak List" /> + <when value="true"> + <param name="convertRTMinute" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="Convert retention time (seconds) into minutes" help="Convert the columns rtmed, rtmin and rtmax into minutes"/> + <param name="numDigitsMZ" type="integer" value="4" label="Number of decimal places for mass values reported in ions' identifiers." help="A minimum of 4 decimal places is recommended. Useful to avoid duplicates within identifiers" /> + <param name="numDigitsRT" type="integer" value="0" label="Number of decimal places for retention time values reported in ions' identifiers." help="Useful to avoid duplicates within identifiers" /> + <param name="intval" type="select" label="Reported intensity values" help="[intval] See the help section below"> + <option value="into" selected="true">into</option> + <option value="maxo">maxo</option> + <option value="intb">intb</option> + </param> </when> - <when value="yes"> - <param name="zip_file" type="data" format="no_unzip.zip,zip" label="Zip file" /> - </when> + <when value="false" /> </conditional> </xml> - + <xml name="output_peaklist" token_function=""> + <data name="variableMetadata" format="tabular" label="${image.name[:-6]}.@FUNCTION@.variableMetadata.tsv"> + <filter>(peaklist['peaklistBool'])</filter> + </data> + <data name="dataMatrix" format="tabular" label="${image.name[:-6]}.@FUNCTION@.dataMatrix.tsv" > + <filter>(peaklist['peaklistBool'])</filter> + </data> + </xml> <token name="@HELP_AUTHORS@"> .. 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
--- 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
--- 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 2906.20499999993 0 -M201.2T3997.9 0 0 1657.33500000006 0 -M201.2T3798.7 0 0 628.988532860297 3245.80999999992 -M201.3T3936.4 0 0 1284.72816666668 0 -M201.3T4036.9 0 0 0 1220.69999999998 -M201.3T4155.1 0 774.575999999962 0 0 -M201.3T3882.6 0 1220.70000000004 596.06839236263 0 -M201.7T3854.6 892.050000000031 0 0 0 -M201.7T4020 0 0 831.015000000029 0 -M201.8T3300.5 2759.095 0 203.041783144463 0 -M201.8T4068.9 515.477113310478 0 754.233600000007 0 -M201.8T3280.2 0 3872.96250000005 0 0 -M201.8T3321 3588.54500000001 0 2184.14587440592 680.752724149015 -M201.8T3170.8 7682.58500000004 0 0 0 -M201.8T3762.7 0 0 1151.71733333335 0 -M201.8T3377.2 9879.84499999977 0 0 0 -M201.9T3268.7 77227.3769090911 4845.50686607645 43819.3479046752 9586.93001142395 -M201.9T4140.9 0 0 0 732.419999999983 -M201.9T4032.8 0 688.600000000024 0 0 -M201.9T3895.1 248.545776466807 841.96999999998 0 3098.52044641804 -M201.9T4009.2 1147.18712241809 1629.165 764.696680521557 472.632308163321 -M201.9T3186 10430.8884626037 3806.07999999999 1823.13851904744 2108.81069363708 -M202T2899.5 36435.3079999996 5925.29111289948 18920.5714858276 5543.76952406103 -M202T3942.7 0 0 1461.71 131.70361488243 -M202.2T3292.2 0 0 0 3372.57500000002 -M202.6T4038.5 0 0 0 978.124999999977 -M202.8T3316.9 0 0 0 1136.19000000004 -M202.9T3305.5 431.124790089052 1694.89499999996 0 2048.62135448795 -M203.1T3979 527.419034783012 0 2796.65500000002 2329.6554046415 -M203.2T4141 0 1020.37999999998 124.572393433318 691.733108650811 -M203.2T3348 0 2974.74816666671 0 0 -M203.2T3327.3 3852.53759999981 0 0 0 -M203.2T2679.2 0 0 0 6346.07499999991 -M203.2T4178.6 257.608663224945 804.409999999981 0 750.373044499613 -M203.2T3790.1 0 2690.23500000009 374.050323368023 795.962510881292 -M203.2T3722.2 639.681095784589 0 0 3345.96999999992 -M203.3T4057.1 0 0 832.191847925998 1550.91499999999 -M203.7T3522.9 0 110.759221778917 967.169999999987 0 -M203.8T3060.6 3905.96266666662 0 0 0 -M203.8T4128.5 0 0 0 793.455000000074 -M203.8T3665.2 3002.85120000003 0 401.30435850189 0 -M203.8T4022.7 1111.14999999999 1447.15657402239 0 109.024210593649 -M204.1T4142.4 0 0 0 1089.24000000004 -M204.1T3843.4 0 419.889287204237 1676.11500000006 1632.68532194826 -M204.2T3397.1 964.058693506483 162.861069898986 691.3363891851 1586.91 -M204.2T2627.4 0 0 3518.12000000012 0 -M204.3T4075.1 0 1062.63500000004 0 0 -M204.4T3703.4 0 0 0 1446.05999999997 -M204.4T3596.6 405.142351380973 0 0 1032.90000000004 -M204.8T3573.8 1707.7862088125 0 0 2466.43999999994 -M204.9T2585.8 0 0 2287.73759999989 9189.67999999988 -M205T2787.2 1924712.01585714 1757150.9648 2129885.09357143 1634341.9855862 -M205.1T4040.1 2600.69759999987 0 0 0 -M205.2T3782.1 2777.8750000001 0 5180.14999999997 0 -M205.2T3916.9 0 3392.55866666671 285.445337336418 910.731294074392 -M205.2T3761.1 0 0 2425.44000000002 0 -M205.3T4064.1 0 0 1198.79000000004 0 -M205.7T4079.9 0 575.630156425085 793.454999999982 0 -M205.8T3292.2 0 0 0 1023.50999999998 -M205.8T3088 0 0 0 4682.47999999989 -M205.8T3349.8 226.392005428193 0 641.649999999985 0 -M205.9T4104.8 1685.41525000004 1169.58129372772 874.647416671435 271.335617444158 -M205.9T3192 1563.6763381678 10174.0649999999 0 438.085464589443 -M206T2785.9 213659.293920001 283980.633536123 253825.557279999 241844.442068965 -M206T3443.7 1711.85904903243 5245.74642732371 4162.05892651987 3090.62812500006 -M206.2T3695.6 0 753.517670393601 0 1953.12000000007 -M206.2T4049.3 522.143972374199 0 0 1505.46128571426 -M206.2T2541.3 0 0 9324.27000000002 0 -M206.2T3670.4 0 750.697408275088 570.325540201242 2237.94999999995 -M206.2T3238.4 1713.67500000006 0 552.049828781539 0 -M206.2T3762.8 500.927664973075 600.148815634935 0 2529.03999999997 -M206.2T3428.1 0 0 0 2558.77500000009 -M206.2T3186.4 1931.20999999997 844.700711463217 0 0 -M206.2T3557.4 0 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1189.07385460488 0 0 -M207.9T4077.3 203.131287894735 0 485.371423367631 1125.1551111111 -M207.9T3273.5 4540.06500000016 1133.204370477 1952.74542311522 0 -M207.9T3036.2 0 5546.35999999993 768.280676833108 1175.60667630378 -M208.2T2968.7 0 0 4039.26499999995 0 -M208.2T3110.1 1407.06234772307 3420.65280000003 0 0 -M208.8T3759.8 0 1698.02500000006 0 0 -M208.8T4028.1 0 1087.67500000004 778.792722712378 0 -M208.9T3015.3 5637.12999999987 1800.71684727263 9083.26000000032 0 -M208.9T2664.8 0 0 0 7860.99500000027 -M208.9T2585.6 0 18319.89 0 0 -M208.9T2602.3 0 0 24254.3700000002 2026.54550000004 -M208.9T2992.5 0 0 5201.39519999974 0 -M208.9T3066.8 9503.37742857158 5041.75192448028 0 1084.87613605107 -M208.9T3866.9 0 2158.13499999995 935.034516892141 0 -M208.9T3635.8 5375.08800000005 0 0 0 -M209T4092.8 668.710945863497 545.673638184217 0 2665.02469999998 -M209.1T4128.4 393.883370416552 1666.72500000006 0 871.972804403417 -M209.2T3892 371.935096424446 2065.79999999997 0 4377.68562871916 -M209.2T3452.4 3018.88499999993 0 0 0 -M209.2T2929.6 0 0 6851.56999999991 0 -M209.2T3613 3417.65913274798 1331.68588203763 0 3733.90646153847 -M209.2T3230.4 6522.45688888881 0 0 982.628486007498 -M209.2T3141.6 1427.16718656392 0 0 7450.59876923079 -M209.3T4089 1269.21499999997 0 1301.67915304916 201.573369933484 -M209.3T4115.9 0 796.584999999981 0 0 -M209.3T4135.1 0 0 1057.82733333335 595.575089521869 -M209.8T3920 0 726.067200000006 0 0 -M209.8T3962.1 0 856.054999999988 0 0 -M209.9T2668 0 0 6536.17027576463 6830.60142857154 -M209.9T3188 7101.62092307694 456.710375985887 0 1558.7663827155 -M209.9T4020 0 230.729675993529 2208.21500000008 523.353296025284 -M210T4010.8 407.798084202643 998.470000000035 1635.02462133853 141.929761694836 -M210.1T2802.2 3903.14091235348 4577.62499999997 4228.83109644868 1487.93905893997 -M210.2T3461 1803.22366841655 0 2842.0400000001 1317.70781883748 -M210.2T3903.9 0 0 0 1455.44999999997 -M210.2T3020.6 7567.85640000017 0 0 2392.11998713218 -M210.2T3110.1 0 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--- a/test-data/faahKO.xset.group.retcor.group.fillPeaks.variableMetadata.tsv Tue Feb 07 04:05:02 2017 -0500 +++ b/test-data/faahKO.xset.group.retcor.group.fillPeaks.variableMetadata.tsv Fri Apr 07 07:37:05 2017 -0400 @@ -1,8158 +1,8158 @@ - mz mzmin mzmax rt rtmin rtmax npeaks KO WT -M200.1T2873.7 200.100006103516 200.100006103516 200.100006103516 2873.66790279219 2873.66790279219 2873.66790279219 1 1 0 -M200.2T3876.7 200.199996948242 200.199996948242 200.199996948242 3876.72559155354 3876.72559155354 3876.72559155354 1 1 0 -M200.2T3676.2 200.199996948242 200.199996948242 200.199996948242 3676.20857473389 3676.20857473389 3676.20857473389 1 0 1 -M200.2T3485.7 200.199996948242 200.199996948242 200.199996948242 3485.71318236608 3485.71318236608 3485.71318236608 1 1 0 -M200.2T3529.2 200.199996948242 200.199996948242 200.199996948242 3529.16673849327 3529.16673849327 3529.16673849327 1 0 1 -M200.2T3184.4 200.199996948242 200.199996948242 200.199996948242 3184.44736675265 3184.44736675265 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--- 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 @@ -<?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="bioconductor-xcms" version="1.46.0"> - <repository changeset_revision="779207ed5674" name="package_bioconductor_xcms_1_46_0" owner="lecorguille" toolshed="https://toolshed.g2.bx.psu.edu" /> - </package> -</tool_dependency>
--- 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")