# HG changeset patch
# User lecorguille
# Date 1491564931 14400
# Node ID c81275aee959993eee8c455c843c3d2e171a7e0f
# Parent  2c1d7df89cf640a4584973fce07c93e970eacc81
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit a6f5f18b3d6130f7d7fbb9f2df856838c6217797

diff -r 2c1d7df89cf6 -r c81275aee959 Makefile
--- a/Makefile	Mon Jan 30 08:53:13 2017 -0500
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,23 +0,0 @@
-# USAGE: make [install|clean]
-
-# -------- VARIABLE --------
-
-OBJ=xcms_group.tgz
-DEP=abims_xcms_group.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 2c1d7df89cf6 -r c81275aee959 README.rst
--- a/README.rst	Mon Jan 30 08:53:13 2017 -0500
+++ b/README.rst	Fri Apr 07 07:35:31 2017 -0400
@@ -2,13 +2,21 @@
 Changelog/News
 --------------
 
+**Version 2.1.0 - 07/02/2017**
+
+- IMPROVEMENT: Add an option to export the peak list at this step without have to wait camara.annotate
+
+- IMPROVEMENT: xcms.group can deal with merged individual data from "xcms.xcmsSet Merger"
+
+- BUGFIX: the default value of "density" -> "Maximum number of groups to identify in a single m/z slice" which was of 5 have been changed to fix with the XMCS default values to 50
+
 **Version 2.0.6 - 06/07/2016**
 
 - UPGRADE: upgrate the xcms version from 1.44.0 to 1.46.0
 
 **Version 2.0.5 04/04/2016**
 
-- TEST: refactoring to pass planemo test using conda dependencies 
+- TEST: refactoring to pass planemo test using conda dependencies
 
 
 **Version 2.0.4 - 10/02/2016**
@@ -25,15 +33,3 @@
 - 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 2c1d7df89cf6 -r c81275aee959 abims_xcms_group.xml
--- a/abims_xcms_group.xml	Mon Jan 30 08:53:13 2017 -0500
+++ b/abims_xcms_group.xml	Fri Apr 07 07:35:31 2017 -0400
@@ -1,4 +1,4 @@
-<tool id="abims_xcms_group" name="xcms.group" version="2.0.6">
+<tool id="abims_xcms_group" name="xcms.group" version="2.1.0">
 
     <description>Group peaks together across samples using overlapping m/z bins and calculation of smoothed peak distributions in chromatographic time.</description>
 
@@ -11,21 +11,21 @@
 
     <command><![CDATA[
         @COMMAND_XCMS_SCRIPT@
-        xfunction group 
-        image $image 
+        xfunction group
+        image '$image'
 
-        xsetRdataOutput $xsetRData
-        rplotspdf $rplotsPdf
+        xsetRdataOutput '$xsetRData'
+        rplotspdf '$rplotsPdf'
 
-        method $methods.method sleep 0.001 
+        method $methods.method sleep 0.001
         #if $methods.method == "density":
-            ## minsamp $methods.minsamp 
-            minfrac $methods.minfrac 
-            bw $methods.bw 
+            ## minsamp $methods.minsamp
+            minfrac $methods.minfrac
+            bw $methods.bw
             mzwid $methods.mzwid
         #if $methods.density_options.option == "show":
             max $methods.density_options.max
-        #end if 
+        #end if
         #elif $methods.method == "mzClust":
             mzppm $methods.mzppm
             mzabs $methods.mzabs
@@ -37,8 +37,11 @@
             rtCheck $methods.rtCheck
             kNN $methods.kNN
         #end if
+
+        @COMMAND_PEAKLIST@
+
         @COMMAND_LOG_EXIT@
-   ]]></command> 
+   ]]></command>
 
     <inputs>
         <param name="image" type="data" format="rdata.xcms.raw,rdata.xcms.group,rdata.xcms.retcor,rdata" label="xset RData file" help="output file from another function xcms (xcmsSet, retcor etc.)" />
@@ -53,7 +56,7 @@
                 <param name="minfrac" type="float" value="0.5" label="Minimum fraction of samples necessary" help="[minfrac] in at least one of the sample groups for it to be a valid group" />
                 <param name="mzwid" type="float" value="0.25" label="Width of overlapping m/z slices" help="[mzwid] to use for creating peak density chromatograms and grouping peaks across samples " />
 <!--
-                <param name="minsamp" type="hidden" value="1" label="minsamp" help="minimum number of samples necessary in at least one of the sample groups for it to be a valid group " /> 
+                <param name="minsamp" type="hidden" value="1" label="minsamp" help="minimum number of samples necessary in at least one of the sample groups for it to be a valid group " />
 -->
             <conditional name="density_options">
             <param name="option" type="select" label="Advanced options">
@@ -61,7 +64,7 @@
                 <option value="hide" selected="true">hide</option>
             </param>
             <when value="show">
-                <param name="max" type="integer" value="5" label="Maximum number of groups to identify in a single m/z slice" help="[max]" />
+                <param name="max" type="integer" value="50" label="Maximum number of groups to identify in a single m/z slice" help="[max]" />
             </when>
             <when value="hide">
             </when>
@@ -73,27 +76,29 @@
                 <param name="mzabs" type="float" value="0" label="Absolute error used for clustering/grouping" help="[mzabs]" />
                 <param name="minfrac" type="float" value="0" label="Minimum fraction of each class in one bin" help="[minfrac] minimum fraction of samples necessary in at least one of the sample groups for it to be a valid group" />
 <!--
-                <param name="minsamp" type="hidden" value="1" label="minsamp" help="minimum number of samples necessary in at least one of the sample groups for it to be a valid group " />   
+                <param name="minsamp" type="hidden" value="1" label="minsamp" help="minimum number of samples necessary in at least one of the sample groups for it to be a valid group " />
 -->
             </when>
             <when value="nearest">
                 <param name="mzVsRTbalance" type="integer" value="10 " label="Multiplicator for mz value before calculating the (euclidean) distance between two peaks." help="[mzVsRTbalance]" />
                 <param name="mzCheck" type="float" value="0.2" label="Maximum tolerated distance for mz" help="[mzCheck]" />
                 <param name="rtCheck" type="integer" value="15" label="Maximum tolerated distance for RT" help="[rtCheck]" />
-                <param name="kNN" type="integer" value="10" label="Number of nearest Neighbours to check" help="[kNN]" />    
+                <param name="kNN" type="integer" value="10" label="Number of nearest Neighbours to check" help="[kNN]" />
             </when>
         </conditional>
 <!--
-        <param name="sleepy" type="float" value="0.001" label="sleep" help="seconds to pause between plotting successive steps of the peak grouping algorithm. peaks are plotted as points showing relative intensity. identified groups are flanked by dotted vertical lines"> 
+        <param name="sleepy" type="float" value="0.001" label="sleep" help="seconds to pause between plotting successive steps of the peak grouping algorithm. peaks are plotted as points showing relative intensity. identified groups are flanked by dotted vertical lines">
             <validator type="in_range" message="Must be more than 0" min="0.001" max="inf"/>
         </param>
 -->
 
+        <expand macro="input_peaklist"/>
     </inputs>
 
     <outputs>
         <data name="xsetRData" format="rdata.xcms.group" label="${image.name[:-6]}.group.RData"/>
         <data name="rplotsPdf" format="pdf" label="${image.name[:-6]}.group.Rplots.pdf"/>
+        <expand macro="output_peaklist" function="group"/>
         <data name="log" format="txt" label="xset.log.txt"  hidden="true" />
     </outputs>
 
@@ -125,6 +130,39 @@
             <param name="methods|mzwid" value="0.01"/>
             <param name="methods|density_options|option" value="show"/>
             <param name="methods|density_options|max" value="50"/>
+            <conditional name="peaklist">
+                <param name="convertRTMinute" value="false" />
+                <param name="peaklistBool" value="true" />
+                <param name="numDigitsMZ" value="4" />
+                <param name="numDigitsRT" value="1" />
+            </conditional>
+            <output name="log">
+                <assert_contents>
+                    <has_text text="object with 4 samples" />
+                    <has_text text="Time range: 2506.1-4477.9 seconds (41.8-74.6 minutes)" />
+                    <has_text text="Mass range: 200.1-600 m/z" />
+                    <has_text text="Peaks: 9251 (about 2313 per sample)" />
+                    <has_text text="Peak Groups: 8275" />
+                    <has_text text="Sample classes: KO, WT" />
+                </assert_contents>
+            </output>
+            <output name="variableMetadata" file="faahKO.xset.group.variableMetadata.tsv" />
+            <output name="dataMatrix" file="faahKO.xset.group.dataMatrix.tsv" />
+        </test>
+        <test>
+            <param name="image" value="faahKO-single-class.xset.merged.RData"/>
+            <param name="methods|method" value="density"/>
+            <param name="methods|bw" value="5"/>
+            <param name="methods|minfrac" value="0.3"/>
+            <param name="methods|mzwid" value="0.01"/>
+            <param name="methods|density_options|option" value="show"/>
+            <param name="methods|density_options|max" value="50"/>
+            <conditional name="peaklist">
+                <param name="convertRTMinute" value="false" />
+                <param name="peaklistBool" value="true" />
+                <param name="numDigitsMZ" value="4" />
+                <param name="numDigitsRT" value="1" />
+            </conditional>
             <output name="log">
                 <assert_contents>
                     <has_text text="object with 4 samples" />
@@ -135,6 +173,46 @@
                     <has_text text="Sample classes: KO, WT" />
                 </assert_contents>
             </output>
+            <output name="variableMetadata" file="faahKO.xset.group.variableMetadata.tsv" />
+            <output name="dataMatrix" file="faahKO.xset.group.dataMatrix.tsv" />
+        </test>
+        <test>
+            <param name="image" value="faahKO-single.xset.merged.RData"/>
+            <param name="methods|method" value="density"/>
+            <param name="methods|bw" value="5"/>
+            <param name="methods|minfrac" value="0.3"/>
+            <param name="methods|mzwid" value="0.01"/>
+            <param name="methods|density_options|option" value="show"/>
+            <param name="methods|density_options|max" value="50"/>
+            <output name="log">
+                <assert_contents>
+                    <has_text text="object with 4 samples" />
+                    <has_text text="Time range: 2506.1-4477.9 seconds (41.8-74.6 minutes)" />
+                    <has_text text="Mass range: 200.1-600 m/z" />
+                    <has_text text="Peaks: 9251 (about 2313 per sample)" />
+                    <has_text text="Peak Groups: 664" />
+                    <has_text text="Sample classes: ." />
+                </assert_contents>
+            </output>
+        </test>
+        <test>
+            <param name="image" value="MM-single.xset.merged.RData"/>
+            <param name="methods|method" value="density"/>
+            <param name="methods|bw" value="5"/>
+            <param name="methods|minfrac" value="0.3"/>
+            <param name="methods|mzwid" value="0.01"/>
+            <param name="methods|density_options|option" value="show"/>
+            <param name="methods|density_options|max" value="50"/>
+            <output name="log">
+                <assert_contents>
+                    <has_text text="object with 2 samples" />
+                    <has_text text="Time range: 19.7-307.3 seconds (0.3-5.1 minutes)" />
+                    <has_text text="Mass range: 117.0357-936.7059 m/z" />
+                    <has_text text="Peaks: 236 (about 118 per sample)" />
+                    <has_text text="Peak Groups: 236" />
+                    <has_text text="Sample classes: ." />
+                </assert_contents>
+            </output>
         </test>
         <!--<test>
             <param name="image" value="xset.group.retcor.RData"/>
@@ -174,10 +252,29 @@
                 </assert_contents>
             </output>
         </test>
+        <test>
+            <param name="image" value="faahKO-single.xset.merged.group.retcor.RData"/>
+            <param name="methods|method" value="density"/>
+            <param name="methods|bw" value="5"/>
+            <param name="methods|minfrac" value="0.3"/>
+            <param name="methods|mzwid" value="0.01"/>
+            <param name="methods|density_options|option" value="show"/>
+            <param name="methods|density_options|max" value="50"/>
+            <output name="log">
+                <assert_contents>
+                    <has_text text="object with 4 samples" />
+                    <has_text text="Time range: 2507.7-4481.7 seconds (41.8-74.7 minutes)" />
+                    <has_text text="Mass range: 200.1-600 m/z" />
+                    <has_text text="Peaks: 9251 (about 2313 per sample)" />
+                    <has_text text="Peak Groups: 8157" />
+                    <has_text text="Sample classes: KO, WT" />
+                </assert_contents>
+            </output>
+        </test>
     </tests>
 
     <help><![CDATA[
-        
+
 @HELP_AUTHORS@
 
 ==========
@@ -203,6 +300,8 @@
 ========================= ================= =================== ==========
 xcms.xcmsSet              xset.RData        rdata.xcms.raw      RData file
 ------------------------- ----------------- ------------------- ----------
+xcms.xcmsSet Merger       xset.RData        rdata.xcms.raw      RData file
+------------------------- ----------------- ------------------- ----------
 xcms.retcor               xset.RData        rdata.xcms.retcor   RData file
 ========================= ================= =================== ==========
 
@@ -231,7 +330,9 @@
 +---------------------------+-----------------------+
 | Parameter : num + label   |   Format              |
 +===========================+=======================+
-| 1 : RData file            |   rdata.xcms.group    |
+| Or : RData file            |   rdata.xcms.raw     |
++---------------------------+-----------------------+
+| Or : RData file            |   rdata.xcms.retcor  |
 +---------------------------+-----------------------+
 
 
@@ -264,15 +365,15 @@
 xset.group.RData: rdata.xcms.group format
 
     | Rdata file that will be necessary in the third and fourth step of the workflow (xcms.retcor and xcms.fillpeaks).
-    
+
 
 ------
 
-.. class:: infomark 
+.. class:: infomark
 
 The output file is an xset.group.RData file. You can continue your analysis using it in **xcms.retcor** tool.
 
-    
+
 ---------------------------------------------------
 
 
@@ -312,13 +413,21 @@
 Changelog/News
 --------------
 
+**Version 2.1.0 - 07/02/2017**
+
+- IMPROVEMENT: Add an option to export the peak list at this step without have to wait camara.annotate
+
+- IMPROVEMENT: xcms.group can deal with merged individual data from "xcms.xcmsSet Merger"
+
+- BUGFIX: the default value of "density" -> "Maximum number of groups to identify in a single m/z slice" which was of 5 have been changed to fix with the XMCS default values to 50
+
 **Version 2.0.6 - 06/07/2016**
 
 - UPGRADE: upgrate the xcms version from 1.44.0 to 1.46.0
 
 **Version 2.0.5 - 04/04/2016**
 
-- TEST: refactoring to pass planemo test using conda dependencies 
+- TEST: refactoring to pass planemo test using conda dependencies
 
 
 **Version 2.0.4 - 10/02/2016**
diff -r 2c1d7df89cf6 -r c81275aee959 lib.r
--- a/lib.r	Mon Jan 30 08:53:13 2017 -0500
+++ b/lib.r	Fri Apr 07 07:35:31 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 2c1d7df89cf6 -r c81275aee959 macros.xml
--- a/macros.xml	Mon Jan 30 08:53:13 2017 -0500
+++ b/macros.xml	Fri Apr 07 07:35:31 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
 
diff -r 2c1d7df89cf6 -r c81275aee959 planemo_test.sh
--- a/planemo_test.sh	Mon Jan 30 08:53:13 2017 -0500
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,30 +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 2 test(s) executed passed.
-#abims_xcms_group[0]: passed
-#abims_xcms_group[1]: 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 2 test(s) executed passed.
-#abims_xcms_group[0]: passed
-#abims_xcms_group[1]: passed
-
-
-# -- Use of shed_test
-planemo shed_test --install_galaxy  -t testtoolshed
-
-#All 2 test(s) executed passed.
-#testtoolshed.g2.bx.psu.edu/repos/lecorguille/xcms_group/abims_xcms_group/2.0.5[0]: passed
-#testtoolshed.g2.bx.psu.edu/repos/lecorguille/xcms_group/abims_xcms_group/2.0.5[1]: passed
diff -r 2c1d7df89cf6 -r c81275aee959 static/images/xcms_group_workflow.png
Binary file static/images/xcms_group_workflow.png has changed
diff -r 2c1d7df89cf6 -r c81275aee959 test-data/MM-single.xset.merged.RData
Binary file test-data/MM-single.xset.merged.RData has changed
diff -r 2c1d7df89cf6 -r c81275aee959 test-data/faahKO-single-class.xset.merged.RData
Binary file test-data/faahKO-single-class.xset.merged.RData has changed
diff -r 2c1d7df89cf6 -r c81275aee959 test-data/faahKO-single.xset.merged.RData
Binary file test-data/faahKO-single.xset.merged.RData has changed
diff -r 2c1d7df89cf6 -r c81275aee959 test-data/faahKO-single.xset.merged.group.retcor.RData
Binary file test-data/faahKO-single.xset.merged.group.retcor.RData has changed
diff -r 2c1d7df89cf6 -r c81275aee959 test-data/faahKO.xset.group.dataMatrix.tsv
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/faahKO.xset.group.dataMatrix.tsv	Fri Apr 07 07:35:31 2017 -0400
@@ -0,0 +1,8276 @@
+name	ko15	ko16	wt15	wt16
+M200T2877	NA	506848.884266667	NA	NA
+M200T3874	1144.01499999999	NA	NA	NA
+M200T3483	6029.94499999992	NA	NA	NA
+M200T3188	NA	4333.4849999999	NA	NA
+M200T3523	NA	NA	4586.52650000006	NA
+M200T3672	NA	NA	5108.15999999988	NA
+M200T3980	NA	NA	NA	1242.61000000004
+M200T3811	NA	NA	1018.81499999998	NA
+M201T3548	NA	2863.6449999999	NA	NA
+M201T4055	NA	NA	1339.64000000005	NA
+M201T3778	NA	NA	1680.81000000006	NA
+M201T3270	NA	NA	4090.91000000014	NA
+M201T3630	NA	NA	NA	2931.24499999993
+M201T2559	NA	14307.2299999999	NA	NA
+M201T3141	NA	254581.758476187	NA	NA
+M201T3506	4023.61499999999	NA	NA	NA
+M201T3683	NA	NA	2906.20499999993	NA
+M201T4059	NA	NA	1275.47500000004	NA
+M201T3802	NA	NA	NA	3245.80999999992
+M201T3991	NA	NA	1657.33500000006	NA
+M201T3885	NA	1220.70000000004	NA	NA
+M201T4157	NA	774.575999999962	NA	NA
+M201T3930	NA	NA	1284.72816666668	NA
+M201T4040	NA	NA	NA	1220.69999999998
+M202T4013	NA	NA	831.015000000029	NA
+M202T3852	892.050000000031	NA	NA	NA
+M202T3298	2759.095	NA	NA	NA
+M202T3285	NA	3872.96250000005	NA	NA
+M202T3318	3588.54500000001	NA	NA	NA
+M202T4062	NA	NA	754.233600000007	NA
+M202T3758	NA	NA	1151.71733333335	NA
+M202T3170	7682.58500000004	NA	NA	NA
+M202T3375	9879.84499999977	NA	NA	NA
+M202T3897	NA	841.96999999998	NA	NA
+M202T3267	77227.3769090911	NA	NA	NA
+M202T4145	NA	NA	NA	732.419999999983
+M202T4035	NA	688.600000000024	NA	NA
+M202T3190	NA	3806.07999999999	NA	NA
+M202T4012	NA	1629.165	NA	NA
+M202T2896	36435.3079999996	NA	NA	NA
+M202T3936	NA	NA	1461.71	NA
+M202T3295	NA	NA	NA	3372.57500000002
+M203T4041	NA	NA	NA	978.124999999977
+M203T3320	NA	NA	NA	1136.19000000004
+M203T3310	NA	1694.89499999996	NA	NA
+M203T3972	NA	NA	2796.65500000002	NA
+M203T2683	NA	NA	NA	6346.07499999991
+M203T3725	NA	NA	NA	3345.96999999992
+M203T3325	3852.53759999981	NA	NA	NA
+M203T3353	NA	2974.74816666671	NA	NA
+M203T4181	NA	804.409999999981	NA	NA
+M203T3794	NA	2690.23500000009	NA	NA
+M203T4143	NA	1020.37999999998	NA	NA
+M203T4060	NA	NA	NA	1550.91499999999
+M204T3517	NA	NA	967.169999999987	NA
+M204T3059	3905.96266666662	NA	NA	NA
+M204T3661	3002.85120000003	NA	NA	NA
+M204T4132	NA	NA	NA	793.455000000074
+M204T4018	1111.14999999999	NA	NA	NA
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+M594T4364	NA	1164.21119999994	NA	NA
+M594T3602	575200.048499998	NA	NA	NA
+M594T3259	NA	NA	NA	12816.72
+M594T2536_2	NA	8189.64500000002	NA	NA
+M594T2666	5148.84999999988	NA	NA	NA
+M594T3612	NA	166249.127733331	NA	NA
+M594T3828	NA	NA	129274.651184211	NA
+M594T4354	NA	1481.93662500003	NA	NA
+M594T3481	12388.5399999997	NA	NA	NA
+M594T3904	NA	3779.47500000013	NA	NA
+M595T4306	NA	NA	NA	1220.70000000004
+M595T4026	NA	NA	NA	6245.91499999996
+M595T4177	NA	NA	NA	1093.93499999999
+M595T2727	NA	NA	NA	2565.03499999994
+M595T2659	NA	NA	NA	4982.95999999993
+M595T2758	4156.19733333339	NA	NA	NA
+M595T2602	60509.4258518521	NA	NA	NA
+M595T2994	NA	NA	1007151.89818182	NA
+M595T3007	NA	316155.893850002	NA	NA
+M595T2647	NA	NA	6429.01999999985	NA
+M595T3775	127545.669125001	NA	149919.4475625	NA
+M595T4199	6956.14718749993	NA	NA	NA
+M595T2541	NA	NA	4907.84000000017	NA
+M595T4346	NA	NA	NA	907.700000000032
+M595T3666	NA	19763.4829285715	7058.81280000006	NA
+M595T3498	NA	22606.4250000001	NA	NA
+M595T2523	NA	5554.18500000003	NA	NA
+M595T2755	NA	NA	NA	1687.07000000006
+M595T3331	NA	1840.43999999996	NA	NA
+M595T3614	NA	NA	24708.2200000009	NA
+M595T2816	NA	NA	3530.63999999992	NA
+M595T3564	NA	NA	NA	15343.2599999999
+M595T3780	17889.5149999996	NA	NA	NA
+M595T3547	NA	NA	11493.3599999997	NA
+M595T4201	NA	NA	8118.931777778	NA
+M595T2653	NA	2237.94999999995	NA	NA
+M596T3841	11742.1950000004	NA	NA	NA
+M596T2612	NA	NA	NA	4323.81869999997
+M596T4029	5818.66999999986	NA	NA	NA
+M596T2587	NA	NA	NA	5086.25000000001
+M596T2667	NA	NA	NA	1422.58499999997
+M596T2733	NA	NA	6131.67000000021	NA
+M596T2670	2203.52000000008	NA	NA	NA
+M596T3691	19928.7100000001	NA	NA	NA
+M596T3101	4984.52500000017	NA	NA	NA
+M596T2642	NA	NA	NA	2245.48800000002
+M596T3705	NA	NA	8136.43499999989	NA
+M596T2534	9774.59962500008	NA	NA	NA
+M596T3309	NA	NA	5200.49499999993	NA
+M596T3012	41813.4537333336	NA	NA	NA
+M596T3666	5483.05920000005	NA	NA	NA
+M596T3575	NA	8668.5349999998	NA	NA
+M596T4166	694.771199999966	NA	NA	NA
+M596T4110	NA	NA	NA	2361.58499999995
+M596T4094	NA	2710.29133333324	NA	NA
+M596T4221	NA	1137.63383333335	NA	NA
+M596T4148	NA	3976.41089999986	NA	NA
+M596T4063	NA	4261.49500000015	NA	NA
+M596T2994	NA	43370.8450000006	NA	NA
+M596T4141	NA	NA	NA	10722.852923077
+M596T3818	NA	3148506.80670835	NA	NA
+M596T3242	6313.21000000022	NA	NA	NA
+M596T2666	NA	NA	NA	1860.78499999996
+M596T3182_1	6427.45500000007	NA	NA	NA
+M596T3799	170253.18495652	NA	NA	NA
+M596T3008	NA	20072.6899999995	NA	NA
+M596T3814	NA	NA	NA	368413.756941174
+M596T2675	2591.63999999996	NA	NA	NA
+M596T3066	4968.87500000017	NA	NA	NA
+M596T3692	19567.1950000007	NA	NA	NA
+M596T3479	NA	4932.87999999988	NA	NA
+M596T3606	NA	NA	19895.845	NA
+M596T3786	35248.4949999998	NA	NA	NA
+M596T3182_2	NA	NA	NA	1197.07200000001
+M597T3968	5639.95966666667	NA	NA	NA
+M597T2545	NA	2941.96500000005	NA	NA
+M597T2534	NA	3727.82999999995	NA	NA
+M597T2551	NA	NA	NA	4759.16500000003
+M597T2720	NA	NA	4531.87800000008	NA
+M597T3071	NA	NA	7801.52500000005	NA
+M597T2566	NA	2184.73999999997	NA	NA
+M597T2589	3938.68550000005	NA	NA	NA
+M597T3478	NA	7109.79500000002	NA	NA
+M597T3292	NA	6108.19500000008	NA	NA
+M597T3874	NA	NA	1399.11000000005	NA
+M597T3664	3813.49883333338	NA	NA	NA
+M597T3789	NA	NA	9477.64000000033	NA
+M597T4082	NA	NA	27582.3906250001	NA
+M597T2922	NA	NA	NA	3881.19999999991
+M597T2539	NA	NA	NA	4424.01941666667
+M597T2791	NA	NA	23087.5229375002	NA
+M597T4130	15187.814210526	NA	NA	NA
+M597T3021	NA	8213.12000000029	NA	NA
+M597T3813	NA	1186500.84141178	NA	NA
+M598T2896	NA	NA	NA	2579.12000000009
+M598T2652	NA	NA	NA	5450.66280000004
+M598T3985	4690.30499999994	NA	NA	NA
+M598T3852	NA	NA	6475.97000000023	NA
+M598T3927	NA	NA	NA	5100.33500000001
+M598T4234	780.835199999962	NA	NA	NA
+M598T3911	2421.055	NA	NA	NA
+M598T3866	NA	NA	923.232000000008	NA
+M598T2838	4328.7899999999	NA	NA	NA
+M598T2735	NA	NA	3392.92	NA
+M598T2526	NA	NA	3350.66499999992	NA
+M598T3054	NA	NA	3904.17600000003	NA
+M598T2564	NA	NA	5259.96499999993	NA
+M598T3243	NA	NA	11160.015	NA
+M598T3688	NA	NA	NA	2907.39840000003
+M598T3165	NA	NA	NA	1547.78500000005
+M598T3570	4893.75500000017	NA	NA	NA
+M598T3738	6735.75999999984	NA	NA	NA
+M598T2990	NA	7907.94500000028	NA	NA
+M598T3724	NA	29323.4050000004	NA	48876.8056363635
+M598T3850	NA	19344.1924374998	NA	NA
+M598T4228_1	NA	NA	NA	852.92499999998
+M598T3702	NA	NA	NA	28572.205000001
+M598T2827	5337.7886250001	NA	NA	NA
+M598T3223	NA	16185.5021250003	NA	NA
+M598T3814	NA	201593.909999999	NA	NA
+M598T3115	3137.82499999993	NA	NA	NA
+M598T3487	NA	NA	9308.62000000032	NA
+M598T3825	NA	126881.278714286	NA	NA
+M598T3708	NA	NA	NA	65022.6200000009
+M598T3400	NA	NA	4532.24000000016	NA
+M598T4228_2	1558.64039999994	NA	NA	NA
+M598T3371	NA	NA	NA	7501.04499999995
+M598T2659	2139.08160000002	NA	NA	NA
+M598T2680	NA	2826.02880000002	NA	NA
+M598T2534	NA	1600.99499999996	NA	NA
+M598T4015	4444.59999999997	NA	NA	NA
+M598T3181	NA	2838.6076666667	NA	NA
+M598T2764	NA	5078.42499999999	NA	NA
+M598T2952	5756.0700000002	NA	NA	NA
+M599T4234	NA	NA	NA	881.094999999979
+M599T3187	NA	NA	NA	2164.39499999999
+M599T2855	NA	NA	NA	3757.56499999997
+M599T2935	NA	2557.20999999994	NA	NA
+M599T2622	NA	2237.94999999995	NA	NA
+M599T2619	24597.6221333335	NA	NA	NA
+M599T3096	NA	NA	NA	5745.1150000002
+M599T4179	NA	NA	769.979999999982	NA
+M599T3744_1	NA	8220.94499999976	NA	NA
+M599T2885	NA	NA	NA	3269.28500000002
+M599T4196	1370.93999999996	NA	NA	NA
+M599T4163	NA	8068.71033333314	NA	5823.36499999964
+M599T3478	NA	NA	NA	6298.5500000001
+M599T3697	NA	NA	55051.9369090907	NA
+M599T4129	NA	NA	13849.6178571426	NA
+M599T3719	22852.13	NA	NA	NA
+M599T3839	NA	NA	5238.05500000018	NA
+M599T3980	NA	15327.6100000005	NA	NA
+M599T4048	798856.451441174	NA	897286.005000001	NA
+M599T3929	NA	NA	NA	2271127.28014893
+M599T3744_2	2472129.73859259	NA	NA	NA
+M599T3731	NA	NA	1909653.70493332	NA
+M599T3431	35592.8437333336	NA	NA	NA
+M599T4130	NA	NA	NA	707685.939314288
+M599T2847	NA	5415.77280000005	NA	NA
+M599T3810	79625.6350000028	NA	NA	NA
+M599T2974	NA	NA	NA	12502.4521250001
+M599T4127	NA	354770.43852632	NA	NA
+M599T3724	NA	NA	797434.72246154	NA
+M600T2730	NA	NA	NA	1760.62499999996
+M600T3407	3353.79499999992	NA	NA	NA
+M600T3005	NA	5849.96999999986	NA	NA
+M600T3609	NA	NA	NA	5001.73999999997
+M600T2523	NA	NA	3209.81499999996	NA
+M600T2562	NA	2928.1150000001	NA	NA
+M600T2606	6022.12000000021	NA	NA	2331.63714285708
+M600T2782	NA	NA	NA	2608.74386666668
+M600T3449	4671.52499999989	8782.77999999999	NA	NA
+M600T3079	NA	NA	NA	3430.04160000003
+M600T2542	NA	3639.80233333338	NA	NA
+M600T2966	9211.58999999991	NA	NA	NA
+M600T3207	7784.31000000027	NA	NA	NA
+M600T2846	NA	NA	NA	1987.33833333336
+M600T3348	2327.15500000008	NA	NA	NA
diff -r 2c1d7df89cf6 -r c81275aee959 test-data/faahKO.xset.group.variableMetadata.tsv
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/faahKO.xset.group.variableMetadata.tsv	Fri Apr 07 07:35:31 2017 -0400
@@ -0,0 +1,8276 @@
+name	namecustom	mz	mzmin	mzmax	rt	rtmin	rtmax	npeaks	KO	WT
+M200T2877	M200.1T2877	200.100006103516	200.100006103516	200.100006103516	2876.967	2876.967	2876.967	1	1	0
+M200T3874	M200.2T3873.8	200.199996948242	200.199996948242	200.199996948242	3873.842	3873.842	3873.842	1	1	0
+M200T3483	M200.2T3482.6	200.199996948242	200.199996948242	200.199996948242	3482.604	3482.604	3482.604	1	1	0
+M200T3188	M200.2T3188.4	200.199996948242	200.199996948242	200.199996948242	3188.392	3188.392	3188.392	1	1	0
+M200T3523	M200.2T3523.3	200.199996948242	200.199996948242	200.199996948242	3523.293	3523.293	3523.293	1	0	1
+M200T3672	M200.2T3672	200.199996948242	200.199996948242	200.199996948242	3671.963	3671.963	3671.963	1	0	1
+M200T3980	M200.3T3980.3	200.300003051758	200.300003051758	200.300003051758	3980.259	3980.259	3980.259	1	0	1
+M200T3811	M200.3T3811.2	200.300003051758	200.300003051758	200.300003051758	3811.244	3811.244	3811.244	1	0	1
+M201T3548	M200.8T3548.3	200.800003051758	200.800003051758	200.800003051758	3548.332	3548.332	3548.332	1	1	0
+M201T4055	M200.8T4055.4	200.800003051758	200.800003051758	200.800003051758	4055.377	4055.377	4055.377	1	0	1
+M201T3778	M200.8T3778.4	200.800003051758	200.800003051758	200.800003051758	3778.38	3778.38	3778.38	1	0	1
+M201T3270	M200.9T3269.8	200.900009155273	200.900009155273	200.900009155273	3269.77	3269.77	3269.77	1	0	1
+M201T3630	M200.9T3629.7	200.900009155273	200.900009155273	200.900009155273	3629.709	3629.709	3629.709	1	0	1
+M201T2559	M200.9T2559.3	200.900009155273	200.900009155273	200.900009155273	2559.281	2559.281	2559.281	1	1	0
+M201T3141	M201.1T3141.4	201.100006103516	201.100006103516	201.100006103516	3141.444	3141.444	3141.444	1	1	0
+M201T3506	M201.2T3506.1	201.199996948242	201.199996948242	201.199996948242	3506.078	3506.078	3506.078	1	1	0
+M201T3683	M201.2T3682.9	201.199996948242	201.199996948242	201.199996948242	3682.918	3682.918	3682.918	1	0	1
+M201T4059	M201.2T4058.5	201.199996948242	201.199996948242	201.199996948242	4058.507	4058.507	4058.507	1	0	1
+M201T3802	M201.2T3801.9	201.199996948242	201.199996948242	201.199996948242	3801.854	3801.854	3801.854	1	0	1
+M201T3991	M201.2T3991.2	201.199996948242	201.199996948242	201.199996948242	3991.214	3991.214	3991.214	1	0	1
+M201T3885	M201.3T3884.8	201.300003051758	201.300003051758	201.300003051758	3884.797	3884.797	3884.797	1	1	0
+M201T4157	M201.3T4157.1	201.300003051758	201.300003051758	201.300003051758	4157.099	4157.099	4157.099	1	1	0
+M201T3930	M201.3T3930.2	201.300003051758	201.300003051758	201.300003051758	3930.18	3930.18	3930.18	1	0	1
+M201T4040	M201.3T4039.7	201.300003051758	201.300003051758	201.300003051758	4039.727	4039.727	4039.727	1	0	1
+M202T4013	M201.7T4013.1	201.699996948242	201.699996948242	201.699996948242	4013.123	4013.123	4013.123	1	0	1
+M202T3852	M201.7T3851.9	201.699996948242	201.699996948242	201.699996948242	3851.933	3851.933	3851.933	1	1	0
+M202T3298	M201.8T3297.9	201.800003051758	201.800003051758	201.800003051758	3297.939	3297.939	3297.939	1	1	0
+M202T3285	M201.8T3285.4	201.800003051758	201.800003051758	201.800003051758	3285.419	3285.419	3285.419	1	1	0
+M202T3318	M201.8T3318.3	201.800003051758	201.800003051758	201.800003051758	3318.284	3318.284	3318.284	1	1	0
+M202T4062	M201.8T4061.6	201.800003051758	201.800003051758	201.800003051758	4061.637	4061.637	4061.637	1	0	1
+M202T3758	M201.8T3758	201.800003051758	201.800003051758	201.800003051758	3758.036	3758.036	3758.036	1	0	1
+M202T3170	M201.8T3169.6	201.800003051758	201.800003051758	201.800003051758	3169.613	3169.613	3169.613	1	1	0
+M202T3375	M201.8T3374.6	201.800003051758	201.800003051758	201.800003051758	3374.622	3374.622	3374.622	1	1	0
+M202T3897	M201.9T3897.3	201.900009155273	201.900009155273	201.900009155273	3897.316	3897.316	3897.316	1	1	0
+M202T3267	M201.9T3266.6	201.900009155273	201.900009155273	201.900009155273	3266.64	3266.64	3266.64	1	1	0
+M202T4145	M201.9T4144.6	201.900009155273	201.900009155273	201.900009155273	4144.579	4144.579	4144.579	1	0	1
+M202T4035	M201.9T4035	201.900009155273	201.900009155273	201.900009155273	4035.032	4035.032	4035.032	1	1	0
+M202T3190	M201.9T3190	201.900009155273	201.900009155273	201.900009155273	3189.957	3189.957	3189.957	1	1	0
+M202T4012	M201.9T4011.6	201.900009155273	201.900009155273	201.900009155273	4011.558	4011.558	4011.558	1	1	0
+M202T2896	M202T2895.7	202	202	202	2895.746	2895.746	2895.746	1	1	0
+M202T3936	M202T3936.4	202	202	202	3936.44	3936.44	3936.44	1	0	1
+M202T3295	M202.2T3294.8	202.199996948242	202.199996948242	202.199996948242	3294.809	3294.809	3294.809	1	0	1
+M203T4041	M202.6T4041.3	202.600006103516	202.600006103516	202.600006103516	4041.292	4041.292	4041.292	1	0	1
+M203T3320	M202.8T3319.8	202.800003051758	202.800003051758	202.800003051758	3319.848	3319.848	3319.848	1	0	1
+M203T3310	M202.9T3310.5	202.900009155273	202.900009155273	202.900009155273	3310.459	3310.459	3310.459	1	1	0
+M203T3972	M203.1T3972.4	203.100006103516	203.100006103516	203.100006103516	3972.434	3972.434	3972.434	1	0	1
+M203T2683	M203.2T2682.9	203.199996948242	203.199996948242	203.199996948242	2682.912	2682.912	2682.912	1	0	1
+M203T3725	M203.2T3725.2	203.199996948242	203.199996948242	203.199996948242	3725.171	3725.171	3725.171	1	0	1
+M203T3325	M203.2T3324.5	203.199996948242	203.199996948242	203.199996948242	3324.544	3324.544	3324.544	1	1	0
+M203T3353	M203.2T3352.7	203.199996948242	203.199996948242	203.199996948242	3352.712	3352.712	3352.712	1	1	0
+M203T4181	M203.2T4180.6	203.199996948242	203.199996948242	203.199996948242	4180.573	4180.573	4180.573	1	1	0
+M203T3794	M203.2T3794	203.199996948242	203.199996948242	203.199996948242	3794.029	3794.029	3794.029	1	1	0
+M203T4143	M203.2T4143	203.199996948242	203.199996948242	203.199996948242	4143.014	4143.014	4143.014	1	1	0
+M203T4060	M203.3T4060.1	203.300003051758	203.300003051758	203.300003051758	4060.071	4060.071	4060.071	1	0	1
+M204T3517	M203.7T3517	203.699996948242	203.699996948242	203.699996948242	3517.033	3517.033	3517.033	1	0	1
+M204T3059	M203.8T3058.5	203.800003051758	203.800003051758	203.800003051758	3058.502	3058.502	3058.502	1	1	0
+M204T3661	M203.8T3661	203.800003051758	203.800003051758	203.800003051758	3661.009	3661.009	3661.009	1	1	0
+M204T4132	M203.8T4132.1	203.800003051758	203.800003051758	203.800003051758	4132.059	4132.059	4132.059	1	0	1
+M204T4018	M203.8T4017.8	203.800003051758	203.800003051758	203.800003051758	4017.818	4017.818	4017.818	1	1	0
+M204T3838	M204.1T3837.8	204.100006103516	204.100006103516	204.100006103516	3837.848	3837.848	3837.848	1	0	1
+M204T4146	M204.1T4146.1	204.100006103516	204.100006103516	204.100006103516	4146.144	4146.144	4146.144	1	0	1
+M204T2625	M204.2T2625	204.199996948242	204.199996948242	204.199996948242	2625.009	2625.009	2625.009	1	0	1
+M204T3401	M204.2T3401.2	204.199996948242	204.199996948242	204.199996948242	3401.226	3401.226	3401.226	1	0	1
+M204T4077	M204.3T4077.3	204.300003051758	204.300003051758	204.300003051758	4077.286	4077.286	4077.286	1	1	0
+M204T3706	M204.4T3706.4	204.400009155273	204.400009155273	204.400009155273	3706.392	3706.392	3706.392	1	0	1
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+M433T3453	M433.3T3452.9	433.300018310547	433.300018310547	433.300018310547	3452.869	3452.869	3452.869	1	0	1
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+M599T4163	M599.2T4163.4	599.200012207031	599.200012207031	599.200012207031	4163.358	4160.228	4166.488	2	1	1
+M599T3478	M599.2T3477.9	599.200012207031	599.200012207031	599.200012207031	3477.909	3477.909	3477.909	1	0	1
+M599T3697	M599.2T3697	599.200012207031	599.200012207031	599.200012207031	3697.002	3697.002	3697.002	1	0	1
+M599T4129	M599.2T4128.9	599.200012207031	599.200012207031	599.200012207031	4128.93	4128.93	4128.93	1	0	1
+M599T3719	M599.2T3718.9	599.200012207031	599.200012207031	599.200012207031	3718.912	3718.912	3718.912	1	1	0
+M599T3839	M599.2T3839.4	599.200012207031	599.200012207031	599.200012207031	3839.413	3839.413	3839.413	1	0	1
+M599T3980	M599.2T3980.3	599.200012207031	599.200012207031	599.200012207031	3980.259	3980.259	3980.259	1	1	0
+M599T4048	M599.3T4047.6	599.299987792969	599.299987792969	599.299987792969	4047.552	4047.552	4053.812	3	1	1
+M599T3929	M599.3T3928.6	599.299987792969	599.299987792969	599.299987792969	3928.615	3928.615	3928.615	2	0	1
+M599T3744_2	M599.3T3744_2	599.299987792969	599.299987792969	599.299987792969	3743.951	3743.951	3743.951	1	1	0
+M599T3731	M599.3T3731.4	599.299987792969	599.299987792969	599.299987792969	3731.431	3731.431	3731.431	1	0	1
+M599T3431	M599.3T3431	599.299987792969	599.299987792969	599.299987792969	3430.96	3430.96	3430.96	1	1	0
+M599T4130	M599.3T4130.5	599.299987792969	599.299987792969	599.299987792969	4130.494	4130.494	4130.494	1	0	1
+M599T2847	M599.4T2847.2	599.400024414062	599.400024414062	599.400024414062	2847.232	2847.232	2847.232	1	1	0
+M599T3810	M599.4T3809.7	599.400024414062	599.400024414062	599.400024414062	3809.679	3809.679	3809.679	1	1	0
+M599T2974	M599.4T2974	599.400024414062	599.400024414062	599.400024414062	2973.994	2973.994	2973.994	1	0	1
+M599T4127	M599.4T4127.4	599.400024414062	599.400024414062	599.400024414062	4127.364	4127.364	4127.364	1	1	0
+M599T3724	M599.4T3723.6	599.400024414062	599.400024414062	599.400024414062	3723.607	3723.607	3723.607	1	0	1
+M600T2730	M599.5T2729.9	599.5	599.5	599.5	2729.861	2729.861	2729.861	1	0	1
+M600T3407	M599.5T3407.5	599.5	599.5	599.5	3407.486	3407.486	3407.486	1	1	0
+M600T3005	M599.5T3005.3	599.5	599.5	599.5	3005.293	3005.293	3005.293	1	1	0
+M600T3609	M599.5T3609.4	599.5	599.5	599.5	3609.365	3609.365	3609.365	1	0	1
+M600T2523	M599.8T2523.3	599.799987792969	599.799987792969	599.799987792969	2523.287	2523.287	2523.287	1	0	1
+M600T2562	M599.8T2562.4	599.799987792969	599.799987792969	599.799987792969	2562.411	2562.411	2562.411	1	1	0
+M600T2606	M599.9T2606.2	599.900024414062	599.900024414062	599.900024414062	2606.23	2604.665	2607.795	2	1	1
+M600T2782	M599.9T2781.5	599.900024414062	599.900024414062	599.900024414062	2781.504	2781.504	2781.504	1	0	1
+M600T3449	M600T3449	600	600	600	3448.9575	3445.045	3452.87	2	2	0
+M600T3079	M600T3078.8	600	600	600	3078.845	3078.845	3078.845	1	0	1
+M600T2542	M600T2542.1	600	600	600	2542.067	2542.067	2542.067	1	1	0
+M600T2966	M600T2966.2	600	600	600	2966.169	2966.169	2966.169	1	1	0
+M600T3207	M600T3207.2	600	600	600	3207.172	3207.172	3207.172	1	1	0
+M600T2846	M600T2845.7	600	600	600	2845.667	2845.667	2845.667	1	0	1
+M600T3348	M600T3348	600	600	600	3348.018	3348.018	3348.018	1	1	0
diff -r 2c1d7df89cf6 -r c81275aee959 tool_dependencies.xml
--- a/tool_dependencies.xml	Mon Jan 30 08:53:13 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>
diff -r 2c1d7df89cf6 -r c81275aee959 xcms.r
--- a/xcms.r	Mon Jan 30 08:53:13 2017 -0500
+++ b/xcms.r	Fri Apr 07 07:35:31 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") {
-  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")