Mercurial > repos > lecorguille > xcms_fillpeaks
changeset 13:91c71f3808f3 draft
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 9f72e947d9c241d11221cad561f3525d27231857
| author | lecorguille |
|---|---|
| date | Tue, 18 Sep 2018 16:13:36 -0400 |
| parents | dcb9041cb9ea |
| children | d78d3d4a82db |
| files | README.rst abims_xcms_fillPeaks.xml lib-xcms3.x.x.r lib.r macros.xml macros_xcms.xml static/images/xcms_fillpeaks_workflow.png test-data/faahKO-single.xset.merged.group.retcor.group.RData test-data/faahKO-single.xset.merged.group2.retcor2.group2.RData test-data/faahKO.xset.group.retcor.group.RData test-data/faahKO.xset.group2.retcor2.group2.fillPeaks2.dataMatrix.NAless.tsv test-data/faahKO.xset.group2.retcor2.group2.fillPeaks2.dataMatrix.tsv test-data/faahKO.xset.group2.retcor2.group2.fillPeaks2.variableMetadata.tsv xcms.r xcms_fillpeaks.r |
| diffstat | 15 files changed, 19988 insertions(+), 857 deletions(-) [+] |
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--- a/README.rst Wed Nov 29 09:47:20 2017 -0500 +++ b/README.rst Tue Sep 18 16:13:36 2018 -0400 @@ -2,24 +2,37 @@ Changelog/News -------------- +**Version 3.0.0.0 - 08/03/2018** + +- UPGRADE: upgrade the xcms version from 1.46.0 to 3.0.0. So refactoring of a lot of underlying codes and methods. Some parameters may have been renamed. + +- UPDATE: since xcms 3.0.0, the selection of a method is no more needed (chrom or MSW). xcms will detect from the data the peak picking method used in findChromPeaks + +- UPDATE: since xcms 3.0.0, new parameters are available: expandMz, expandRt and ppm + + **Version 2.1.1 - 29/11/2017** - BUGFIX: To avoid issues with accented letter in the parentFile tag of the mzXML files, we changed a hidden mechanim to LC_ALL=C + **Version 2.1.0 - 07/02/2017** - IMPROVEMENT: change the management of the peaklist ids. The main ids remain the same as xcms generated. The export setiings now only add custom names in the variableMetadata tab (namecustom) - IMPROVEMENT: xcms.fillpeaks can deal with merged individual data + **Version 2.0.8 - 22/12/2016** -- IMPROVEMENT: Add an option to export the peak list at this step without have to wait camara.annotate +- IMPROVEMENT: Add an option to export the peak list at this step without having to wait for CAMERA.annotate + **Version 2.0.7 - 06/07/2016** - UPGRADE: upgrate the xcms version from 1.44.0 to 1.46.0 + **Version 2.0.6 - 04/04/2016** - TEST: refactoring to pass planemo test using conda dependencies
--- a/abims_xcms_fillPeaks.xml Wed Nov 29 09:47:20 2017 -0500 +++ b/abims_xcms_fillPeaks.xml Tue Sep 18 16:13:36 2018 -0400 @@ -1,22 +1,24 @@ -<tool id="abims_xcms_fillPeaks" name="xcms.fillPeaks" version="2.1.1"> +<tool id="abims_xcms_fillPeaks" name="xcms fillChromPeaks (fillPeaks)" version="@WRAPPER_VERSION@.0"> - <description>Integrate a sample's signal in regions where peak groups are not represented to create new peaks in missing areas</description> + <description>Integrate areas of missing peaks</description> <macros> <import>macros.xml</import> + <import>macros_xcms.xml</import> </macros> <expand macro="requirements"/> <expand macro="stdio"/> <command><![CDATA[ - @COMMAND_XCMS_SCRIPT@ - xfunction fillPeaks + @COMMAND_RSCRIPT@/xcms_fillpeaks.r + image '$image' - xsetRdataOutput '$xsetRData' - - method $method + ## Advanced + expandMz $Adv.expandMz + expandRt $Adv.expandRt + ppm $Adv.ppm @COMMAND_PEAKLIST@ @@ -27,11 +29,13 @@ ]]></command> <inputs> - <param name="image" type="data" format="rdata.xcms.group,rdata" label="xset RData file" help="output file from another xcms function (group)" /> - <param name="method" type="select" label="Filling method" help="[method] See the help section below"> - <option value="chrom" selected="true">chrom</option> - <option value="MSW" >MSW</option> - </param> + <param name="image" type="data" format="rdata.xcms.group,rdata" label="@INPUT_IMAGE_LABEL@" help="@INPUT_IMAGE_HELP@ from groupChromPeaks" /> + + <section name="Adv" title="Advanced Options" expanded="False"> + <param argument="expandMz" type="integer" value="0" label="Value by which the mz width of peaks should be expanded" help="Each peak is expanded in mz direction by ‘expandMz *’ their original mz width. A value of ‘0’ means no expansion, a value of ‘1’ grows each peak by 1 * the mz width of the peak resulting in peakswith twice their original size in mz direction (expansion by half mz width to both sides)." /> + <param argument="expandRt" type="integer" value="0" label="Value by which the RT width of peaks should be expanded" help="Each peak is expanded in RT direction by ‘expandRt *’ their original RT width. A value of ‘0’ means no expansion, a value of ‘1’ grows each peak by 1 * the RT width of the peak resulting in peakswith twice their original size in RT direction (expansion by half RT width to both sides)."/> + <param argument="ppm" type="integer" value="0" label="Specifying a ppm by which the mz width of the peak region should be expanded" help="For peaks with an mz width smaller than ‘mean(c(mzmin, mzmax)) * ppm / 1e6’, the ‘mzmin’ will be replaced by ‘mean(c(mzmin, mzmax)) - (mean(c(mzmin, mzmax)) * ppm / 2 / 1e6)’ and ‘mzmax’ by ‘mean(c(mzmin, mzmax)) + (mean(c(mzmin, mzmax)) * ppm / 2 / 1e6)’. This is applied before eventually expanding the mz width using the ‘expandMz’ parameter." /> + </section> <expand macro="input_peaklist"/> @@ -40,72 +44,111 @@ </inputs> <outputs> - <data name="xsetRData" format="rdata.xcms.fillpeaks" label="${image.name[:-6]}.fillPeaks.RData" /> + <data name="xsetRData" format="rdata.xcms.fillpeaks" label="${image.name[:-6]}.fillChromPeaks.RData" from_work_dir="fillpeaks.RData" /> <expand macro="output_peaklist" function="fillpeaks" /> - <data name="log" format="txt" label="xset.log.txt" hidden="true" /> </outputs> <tests> <!--<test> - <param name="image" value="xset.group.retcor.group.RData"/> + <param name="image" value="xset.group.retcor.group.RData" ftype="rdata"/> <param name="method" value="chrom"/> <param name="zip_file" value="sacuri_dir_root.zip" ftype="zip" /> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 0.2-1140.1 seconds (0-19 minutes)" /> - <has_text text="Mass range: 50.0021-999.9863 m/z" /> - <has_text text="Peaks: 199718 (about 49930 per sample)" /> - <has_text text="Peak Groups: 48958" /> - <has_text text="Sample classes: bio, blank" /> - </assert_contents> - </output> + <assert_stdout> + <has_text text="object with 4 samples" /> + <has_text text="Time range: 0.2-1140.1 seconds (0-19 minutes)" /> + <has_text text="Mass range: 50.0021-999.9863 m/z" /> + <has_text text="Peaks: 199718 (about 49930 per sample)" /> + <has_text text="Peak Groups: 48958" /> + <has_text text="Sample classes: bio, blank" /> + </assert_stdout> </test>--> + <!-- Issue with fillpeaks because it seems that there are too many NA <test> - <param name="image" value="faahKO.xset.group.retcor.group.RData"/> + <param name="image" value="faahKO.xset.group.retcor.group.RData" ftype="rdata"/> <param name="method" value="chrom"/> <conditional name="peaklist"> + <param name="peaklistBool" value="true" /> <param name="convertRTMinute" value="false" /> - <param name="peaklistBool" value="true" /> <param name="numDigitsMZ" value="4" /> <param name="numDigitsRT" value="1" /> </conditional> <expand macro="test_file_load_zip"/> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 2506-4484 seconds (41.8-74.7 minutes)" /> - <has_text text="Mass range: 200.1-600 m/z" /> - <has_text text="Peaks: 32720 (about 8180 per sample)" /> - <has_text text="Peak Groups: 8157" /> - <has_text text="Sample classes: KO, WT" /> - </assert_contents> - </output> + <assert_stdout> + <has_text text="object with 4 samples" /> + <has_text text="Time range: 2509.2-4480.3 seconds (41.8-74.7 minutes)" /> + <has_text text="Mass range: 200.1-600 m/z" /> + <has_text text="Peaks: 32720 (about 8180 per sample)" /> + <has_text text="Peak Groups: 8209" /> + <has_text text="Sample classes: KO, WT" /> + </assert_stdout> <output name="variableMetadata" file="faahKO.xset.group.retcor.group.fillPeaks.variableMetadata.tsv" /> <output name="dataMatrix" file="faahKO.xset.group.retcor.group.fillPeaks.dataMatrix.tsv" /> </test> <test> - <param name="image" value="faahKO-single.xset.merged.group.retcor.group.RData"/> + <param name="image" value="faahKO-single.xset.merged.group.retcor.group.RData" ftype="rdata"/> <param name="method" value="chrom"/> <conditional name="peaklist"> + <param name="peaklistBool" value="true" /> <param name="convertRTMinute" value="false" /> - <param name="peaklistBool" value="true" /> <param name="numDigitsMZ" value="4" /> <param name="numDigitsRT" value="1" /> </conditional> <expand macro="test_file_load_single"/> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 2506-4484 seconds (41.8-74.7 minutes)" /> - <has_text text="Mass range: 200.1-600 m/z" /> - <has_text text="Peaks: 32720 (about 8180 per sample)" /> - <has_text text="Peak Groups: 8157" /> - <has_text text="Sample classes: KO, WT" /> - </assert_contents> - </output> + <assert_stdout> + <has_text text="object with 4 samples" /> + <has_text text="Time range: 2509.2-4480.3 seconds (41.8-74.7 minutes)" /> + <has_text text="Mass range: 200.1-600 m/z" /> + <has_text text="Peaks: 32720 (about 8180 per sample)" /> + <has_text text="Peak Groups: 8209" /> + <has_text text="Sample classes: KO, WT" /> + </assert_stdout> <output name="variableMetadata" file="faahKO.xset.group.retcor.group.fillPeaks.variableMetadata.tsv" /> <output name="dataMatrix" file="faahKO.xset.group.retcor.group.fillPeaks.dataMatrix.tsv" /> + </test>--> + <!--<test> + <param name="image" value="faahKO-single.xset.merged.group2.retcor2.group2.RData" ftype="rdata"/> + <conditional name="peaklist"> + <param name="peaklistBool" value="true" /> + <param name="convertRTMinute" value="false" /> + <param name="numDigitsMZ" value="4" /> + <param name="numDigitsRT" value="1" /> + <param name="naTOzero" value="false" /> + </conditional> + <expand macro="test_file_load_single"/> + <assert_stdout> + <has_text text="expandMz: 0" /> + <has_text text="expandRt: 0" /> + <has_text text="object with 4 samples" /> + <has_text text="Time range: 2499.4-4473.6 seconds (41.7-74.6 minutes)" /> + <has_text text="Mass range: 200.1-600 m/z" /> + <has_text text="Peaks: 15230 (about 3808 per sample)" /> + <has_text text="Peak Groups: 6332" /> + <has_text text="Sample classes: KO, WT" /> + </assert_stdout> + <output name="variableMetadata" file="faahKO.xset.group2.retcor2.group2.fillPeaks2.variableMetadata.tsv" /> + <output name="dataMatrix" file="faahKO.xset.group2.retcor2.group2.fillPeaks2.dataMatrix.tsv" /> + </test>--> + <test> + <param name="image" value="faahKO-single.xset.merged.group2.retcor2.group2.RData" ftype="rdata"/> + <conditional name="peaklist"> + <param name="peaklistBool" value="true" /> + <param name="convertRTMinute" value="false" /> + <param name="numDigitsMZ" value="4" /> + <param name="numDigitsRT" value="1" /> + </conditional> + <expand macro="test_file_load_single"/> + <assert_stdout> + <has_text text="expandMz: 0" /> + <has_text text="expandRt: 0" /> + <has_text text="object with 4 samples" /> + <has_text text="Time range: 2499.4-4473.6 seconds (41.7-74.6 minutes)" /> + <has_text text="Mass range: 200.1-600 m/z" /> + <has_text text="Peaks: 15230 (about 3808 per sample)" /> + <has_text text="Peak Groups: 6332" /> + <has_text text="Sample classes: KO, WT" /> + </assert_stdout> + <output name="variableMetadata" file="faahKO.xset.group2.retcor2.group2.fillPeaks2.variableMetadata.tsv" /> + <output name="dataMatrix" file="faahKO.xset.group2.retcor2.group2.fillPeaks2.dataMatrix.NAless.tsv" /> </test> </tests> @@ -113,9 +156,9 @@ @HELP_AUTHORS@ -============== -Xcms.fillPeaks -============== +=================== +xcms fillChromPeaks +=================== ----------- Description @@ -126,12 +169,6 @@ represented. For each of those peak groups, integrate the signal in the region of that peak group and create a new peak. -According to the type of raw-data there are 2 -different methods available. for filling gcms/lcms data the method -"chrom" integrates raw-data in the chromatographic domain, whereas -"MSW" is used for peaklists without retention-time information -like those from direct-infusion spectra. - ----------------- @@ -141,80 +178,41 @@ **Upstream tools** -========================= ================= ================== ========== -Name output file format parameter -========================= ================= ================== ========== -xcms.group xset.group.RData rdata.xcms.group RData file -========================= ================= ================== ========== +========================= ============================ ================== +Name Output file Format +========================= ============================ ================== +xcms.groupChromPeaks ``*``.groupChromPeaks.RData rdata.xcms.group +========================= ============================ ================== **Downstream tools** -+---------------------------+------------------+-----------------------+ -| Name | Output file | Format | -+===========================+==================+=======================+ -|CAMERA.annotate | xset.retcor.RData| rdata.xcms.fillpeaks | -+---------------------------+------------------+-----------------------+ -|xcms.summary | xset.retcor.RData| rdata.xcms.fillpeaks | -+---------------------------+------------------+-----------------------+ - -The output file **xset.fillpeaks** is a RData file. You can continue your analysis using it in **CAMERA.annotate** or **xcms.summary** tool as a following step of your workflow. +=========================== =========================== ======================= +Name Output file Format +=========================== =========================== ======================= +CAMERA.annotate ``*``.fillChromPeaks.RData rdata.xcms.fillpeaks +--------------------------- --------------------------- ----------------------- +xcms.process_history ``*``.fillChromPeaks.RData rdata.xcms.fillpeaks +=========================== =========================== ======================= **General schema of the metabolomic workflow** .. image:: xcms_fillpeaks_workflow.png - - ------------ -Input files ------------ - -+---------------------------+-----------------------+ -| Parameter : num + label | Format | -+===========================+=======================+ -| 1 : RData file | rdata.xcms.group | -+---------------------------+-----------------------+ - +--------------------------------------------------- ---------- Parameters ---------- - -Method ------- - -**chrom** +| See the fillChromPeaks_manual_ - | This method produces intensity values for those missing samples by integrating raw data in peak group region. In a given group, the start and ending retention time points for integration are defined by the median start and end points of the other detected peaks. The start and end m/z values are similarly determined. Intensities can be still be zero, which is a rather unusual intensity for a peak. This is the case if e.g. the raw data was threshholded, and the integration area contains no actual raw intensities, or if one sample is miscalibrated, such the raw data points are (just) outside the integration area. - | Importantly, if retention time correction data is available, the alignment information is used to more precisely integrate the propper region of the raw data. If the corrected retention time is beyond the end of the raw data, the value will be not-a-number (NaN). - -**MSW** - - | "MSW" is used for peaklists without retention-time information like those from direct-infusion spectra. - - -Get a Peak List ---------------- +.. _fillChromPeaks_manual: https://rdrr.io/bioc/xcms/man/fillChromPeaks.html -If 'true', the module generates two additional files corresponding to the peak list: -- the variable metadata file (corresponding to information about extracted ions such as mass or retention time) -- the data matrix (corresponding to related intensities) - -**decimal places for [mass or retention time] values in identifiers** +@HELP_XCMS_MANUAL@ - | Ions' identifiers are constructed as MxxxTyyy where 'xxx' is the ion median mass and 'yyy' the ion median retention time. - | Two parameters are used to adjust the number of decimal places wanted in identifiers for mass and retention time respectively. - | Theses parameters do not affect decimal places in columns other than the identifier one. - -**Reported intensity values** - - | This parameter determines which values should be reported as intensities in the dataMatrix table; it correspond to xcms 'intval' parameter: - | - into: integrated area of original (raw) peak - | - maxo: maximum intensity of original (raw) peak - | - intb: baseline corrected integrated peak area (only available if peak detection was done by ‘findPeaks.centWave’) +@HELP_PEAKLIST@ ------------ Output files @@ -222,45 +220,9 @@ xset.fillPeaks.RData : rdata.xcms.fillpeaks format - | Rdata file that will be used in the **CAMERA.annotate** or **xcms.summary** step of the workflow. - -xset.variableMetadata.tsv : tabular format - - | Table containing information about ions; can be used as one input of **Quality_Metrics** or **Generic_filter** modules. - -xset.dataMatrix.tsv : tabular format - - | Table containing ions' intensities; can be used as one input of **Quality_Metrics** or **Generic_filter** modules. - ------- - -.. class:: infomark - -The output file is a xset.fillPeaks.RData file. You can continue your analysis using it in **CAMERA.annotate** or **xcms.summary** tool. - - ---------------------------------------------------- + | Rdata file that will be used in the **CAMERA.annotate** or **xcms.process_history** step of the workflow. ---------------- -Working example ---------------- - -Input files ------------ - - | RData file -> **xset.retcor.RData** - -Parameters ----------- - - | method -> **chrom** - | Get a Peak List -> **false** - - -Output files ------------- - - | **xset.fillPeaks.RData: RData file** +@HELP_PEAKLIST_OUTPUT@ --------------------------------------------------- @@ -268,28 +230,42 @@ Changelog/News -------------- +**Version 3.0.0.0 - 08/03/2018** + +- UPGRADE: upgrade the xcms version from 1.46.0 to 3.0.0. So refactoring of a lot of underlying codes and methods. Some parameters may have been renamed. + +- UPDATE: since xcms 3.0.0, the selection of a method is no more needed (chrom or MSW). xcms will detect from the data the peak picking method used in findChromPeaks + +- UPDATE: since xcms 3.0.0, new parameters are available: expandMz, expandRt and ppm + + **Version 2.1.1 - 29/11/2017** - BUGFIX: To avoid issues with accented letter in the parentFile tag of the mzXML files, we changed a hidden mechanim to LC_ALL=C + **Version 2.1.0 - 07/02/2017** - IMPROVEMENT: change the management of the peaklist ids. The main ids remain the same as xcms generated. The export setiings now only add custom names in the variableMetadata tab (namecustom) - IMPROVEMENT: xcms.fillpeaks can deal with merged individual data + **Version 2.0.8 - 22/12/2016** - IMPROVEMENT: Add an option to export the peak list at this step without having to wait for CAMERA.annotate + **Version 2.0.7 - 06/07/2016** - UPGRADE: upgrate the xcms version from 1.44.0 to 1.46.0 + **Version 2.0.6 - 04/04/2016** - TEST: refactoring to pass planemo test using conda dependencies + **Version 2.0.5 - 10/02/2016** - BUGFIX: better management of errors. Datasets remained green although the process failed
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/lib-xcms3.x.x.r Tue Sep 18 16:13:36 2018 -0400 @@ -0,0 +1,152 @@ + + +#@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7 +# https://github.com/sneumann/xcms/issues/250 +groupnamesW4M <- function(xdata, mzdec = 0, rtdec = 0) { + mzfmt <- paste("%.", mzdec, "f", sep = "") + rtfmt <- paste("%.", rtdec, "f", sep = "") + + gnames <- paste("M", sprintf(mzfmt, featureDefinitions(xdata)[,"mzmed"]), "T", + sprintf(rtfmt, featureDefinitions(xdata)[,"rtmed"]), sep = "") + + if (any(dup <- duplicated(gnames))) + for (dupname in unique(gnames[dup])) { + dupidx <- which(gnames == dupname) + gnames[dupidx] <- paste(gnames[dupidx], seq(along = dupidx), sep = "_") + } + + return (gnames) +} + +#@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7 +# https://github.com/sneumann/xcms/issues/247 +.concatenate_XCMSnExp <- function(...) { + x <- list(...) + if (length(x) == 0) + return(NULL) + if (length(x) == 1) + return(x[[1]]) + ## Check that all are XCMSnExp objects. + if (!all(unlist(lapply(x, function(z) is(z, "XCMSnExp"))))) + stop("All passed objects should be 'XCMSnExp' objects") + new_x <- as(.concatenate_OnDiskMSnExp(...), "XCMSnExp") + ## If any of the XCMSnExp has alignment results or detected features drop + ## them! + x <- lapply(x, function(z) { + if (hasAdjustedRtime(z)) { + z <- dropAdjustedRtime(z) + warning("Adjusted retention times found, had to drop them.") + } + if (hasFeatures(z)) { + z <- dropFeatureDefinitions(z) + warning("Feature definitions found, had to drop them.") + } + z + }) + ## Combine peaks + fls <- lapply(x, fileNames) + startidx <- cumsum(lengths(fls)) + pks <- lapply(x, chromPeaks) + procH <- lapply(x, processHistory) + for (i in 2:length(fls)) { + pks[[i]][, "sample"] <- pks[[i]][, "sample"] + startidx[i - 1] + procH[[i]] <- lapply(procH[[i]], function(z) { + z@fileIndex <- as.integer(z@fileIndex + startidx[i - 1]) + z + }) + } + pks <- do.call(rbind, pks) + new_x@.processHistory <- unlist(procH) + chromPeaks(new_x) <- pks + if (validObject(new_x)) + new_x +} + +#@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7 +# https://github.com/sneumann/xcms/issues/247 +.concatenate_OnDiskMSnExp <- function(...) { + x <- list(...) + if (length(x) == 0) + return(NULL) + if (length(x) == 1) + return(x[[1]]) + ## Check that all are XCMSnExp objects. + if (!all(unlist(lapply(x, function(z) is(z, "OnDiskMSnExp"))))) + stop("All passed objects should be 'OnDiskMSnExp' objects") + ## Check processingQueue + procQ <- lapply(x, function(z) z@spectraProcessingQueue) + new_procQ <- procQ[[1]] + is_ok <- unlist(lapply(procQ, function(z) + !is.character(all.equal(new_procQ, z)) + )) + if (any(!is_ok)) { + warning("Processing queues from the submitted objects differ! ", + "Dropping the processing queue.") + new_procQ <- list() + } + ## processingData + fls <- lapply(x, function(z) z@processingData@files) + startidx <- cumsum(lengths(fls)) + ## featureData + featd <- lapply(x, fData) + ## Have to update the file index and the spectrum names. + for (i in 2:length(featd)) { + featd[[i]]$fileIdx <- featd[[i]]$fileIdx + startidx[i - 1] + rownames(featd[[i]]) <- MSnbase:::formatFileSpectrumNames( + fileIds = featd[[i]]$fileIdx, + spectrumIds = featd[[i]]$spIdx, + nSpectra = nrow(featd[[i]]), + nFiles = length(unlist(fls)) + ) + } + featd <- do.call(rbind, featd) + featd$spectrum <- 1:nrow(featd) + ## experimentData + expdata <- lapply(x, function(z) { + ed <- z@experimentData + data.frame(instrumentManufacturer = ed@instrumentManufacturer, + instrumentModel = ed@instrumentModel, + ionSource = ed@ionSource, + analyser = ed@analyser, + detectorType = ed@detectorType, + stringsAsFactors = FALSE) + }) + expdata <- do.call(rbind, expdata) + expdata <- new("MIAPE", + instrumentManufacturer = expdata$instrumentManufacturer, + instrumentModel = expdata$instrumentModel, + ionSource = expdata$ionSource, + analyser = expdata$analyser, + detectorType = expdata$detectorType) + + ## protocolData + protodata <- lapply(x, function(z) z@protocolData) + if (any(unlist(lapply(protodata, nrow)) > 0)) + warning("Found non-empty protocol data, but merging protocol data is", + " currently not supported. Skipped.") + ## phenoData + pdata <- do.call(rbind, lapply(x, pData)) + res <- new( + "OnDiskMSnExp", + phenoData = new("NAnnotatedDataFrame", data = pdata), + featureData = new("AnnotatedDataFrame", featd), + processingData = new("MSnProcess", + processing = paste0("Concatenated [", date(), "]"), + files = unlist(fls), smoothed = NA), + experimentData = expdata, + spectraProcessingQueue = new_procQ) + if (validObject(res)) + res +} + +#@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7 +# https://github.com/sneumann/xcms/issues/247 +c.XCMSnExp <- function(...) { + .concatenate_XCMSnExp(...) +} + +#@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7 +# https://github.com/sneumann/xcms/issues/247 +c.MSnbase <- function(...) { + .concatenate_OnDiskMSnExp(...) +}
--- a/lib.r Wed Nov 29 09:47:20 2017 -0500 +++ b/lib.r Tue Sep 18 16:13:36 2018 -0400 @@ -1,319 +1,269 @@ -#Authors ABiMS TEAM -#Lib.r for Galaxy Workflow4Metabolomics xcms tools -# -#version 2.4: lecorguille -# add getPeaklistW4M -#version 2.3: yguitton -# correction for empty PDF when only 1 class -#version 2.2 -# correct bug in Base Peak Chromatogram (BPC) option, not only TIC when scanrange used in xcmsSet -# Note if scanrange is used a warning is prompted in R console but do not stop PDF generation -#version 2.1: yguitton -# Modifications made by Guitton Yann +#@authors ABiMS TEAM, Y. Guitton +# lib.r for Galaxy Workflow4Metabolomics xcms tools + +#@author G. Le Corguille +# solve an issue with batch if arguments are logical TRUE/FALSE +parseCommandArgs <- function(...) { + args <- batch::parseCommandArgs(...) + for (key in names(args)) { + if (args[key] %in% c("TRUE","FALSE")) + args[key] = as.logical(args[key]) + } + return(args) +} +#@author G. Le Corguille +# This function will +# - load the packages +# - display the sessionInfo +loadAndDisplayPackages <- function(pkgs) { + for(pkg in pkgs) suppressPackageStartupMessages( stopifnot( library(pkg, quietly=TRUE, logical.return=TRUE, character.only=TRUE))) + + sessioninfo = sessionInfo() + cat(sessioninfo$R.version$version.string,"\n") + cat("Main packages:\n") + for (pkg in names(sessioninfo$otherPkgs)) { cat(paste(pkg,packageVersion(pkg)),"\t") }; cat("\n") + cat("Other loaded packages:\n") + for (pkg in names(sessioninfo$loadedOnly)) { cat(paste(pkg,packageVersion(pkg)),"\t") }; cat("\n") +} + +#@author G. Le Corguille +# This function merge several chromBPI or chromTIC into one. +mergeChrom <- function(chrom_merged, chrom) { + if (is.null(chrom_merged)) return(NULL) + chrom_merged@.Data <- cbind(chrom_merged@.Data, chrom@.Data) + return(chrom_merged) +} #@author G. Le Corguille -#This function convert if it is required the Retention Time in minutes +# This function merge several xdata into one. +mergeXData <- function(args) { + chromTIC <- NULL + chromBPI <- NULL + chromTIC_adjusted <- NULL + chromBPI_adjusted <- NULL + for(image in args$images) { + + load(image) + # Handle infiles + if (!exists("singlefile")) singlefile <- NULL + if (!exists("zipfile")) zipfile <- NULL + rawFilePath <- getRawfilePathFromArguments(singlefile, zipfile, args) + zipfile <- rawFilePath$zipfile + singlefile <- rawFilePath$singlefile + retrieveRawfileInTheWorkingDirectory(singlefile, zipfile) + + if (exists("raw_data")) xdata <- raw_data + if (!exists("xdata")) stop("\n\nERROR: The RData doesn't contain any object called 'xdata'. This RData should have been created by an old version of XMCS 2.*") + + cat(sampleNamesList$sampleNamesOrigin,"\n") + + if (!exists("xdata_merged")) { + xdata_merged <- xdata + singlefile_merged <- singlefile + md5sumList_merged <- md5sumList + sampleNamesList_merged <- sampleNamesList + chromTIC_merged <- chromTIC + chromBPI_merged <- chromBPI + chromTIC_adjusted_merged <- chromTIC_adjusted + chromBPI_adjusted_merged <- chromBPI_adjusted + } else { + if (is(xdata, "XCMSnExp")) xdata_merged <- c(xdata_merged,xdata) + else if (is(xdata, "OnDiskMSnExp")) xdata_merged <- .concatenate_OnDiskMSnExp(xdata_merged,xdata) + else stop("\n\nERROR: The RData either a OnDiskMSnExp object called raw_data or a XCMSnExp object called xdata") + + singlefile_merged <- c(singlefile_merged,singlefile) + md5sumList_merged$origin <- rbind(md5sumList_merged$origin,md5sumList$origin) + sampleNamesList_merged$sampleNamesOrigin <- c(sampleNamesList_merged$sampleNamesOrigin,sampleNamesList$sampleNamesOrigin) + sampleNamesList_merged$sampleNamesMakeNames <- c(sampleNamesList_merged$sampleNamesMakeNames,sampleNamesList$sampleNamesMakeNames) + chromTIC_merged <- mergeChrom(chromTIC_merged, chromTIC) + chromBPI_merged <- mergeChrom(chromBPI_merged, chromBPI) + chromTIC_adjusted_merged <- mergeChrom(chromTIC_adjusted_merged, chromTIC_adjusted) + chromBPI_adjusted_merged <- mergeChrom(chromBPI_adjusted_merged, chromBPI_adjusted) + } + } + rm(image) + xdata <- xdata_merged; rm(xdata_merged) + singlefile <- singlefile_merged; rm(singlefile_merged) + md5sumList <- md5sumList_merged; rm(md5sumList_merged) + sampleNamesList <- sampleNamesList_merged; rm(sampleNamesList_merged) + + if (!is.null(args$sampleMetadata)) { + cat("\tXSET PHENODATA SETTING...\n") + sampleMetadataFile <- args$sampleMetadata + sampleMetadata <- getDataFrameFromFile(sampleMetadataFile, header=F) + xdata@phenoData@data$sample_group=sampleMetadata$V2[match(xdata@phenoData@data$sample_name,sampleMetadata$V1)] + + if (any(is.na(pData(xdata)$sample_group))) { + sample_missing <- pData(xdata)$sample_name[is.na(pData(xdata)$sample_group)] + error_message <- paste("Those samples are missing in your sampleMetadata:", paste(sample_missing, collapse=" ")) + print(error_message) + stop(error_message) + } + } + + if (!is.null(chromTIC_merged)) { chromTIC <- chromTIC_merged; chromTIC@phenoData <- xdata@phenoData } + if (!is.null(chromBPI_merged)) { chromBPI <- chromBPI_merged; chromBPI@phenoData <- xdata@phenoData } + if (!is.null(chromTIC_adjusted_merged)) { chromTIC_adjusted <- chromTIC_adjusted_merged; chromTIC_adjusted@phenoData <- xdata@phenoData } + if (!is.null(chromBPI_adjusted_merged)) { chromBPI_adjusted <- chromBPI_adjusted_merged; chromBPI_adjusted@phenoData <- xdata@phenoData } + + return(list("xdata"=xdata, "singlefile"=singlefile, "md5sumList"=md5sumList,"sampleNamesList"=sampleNamesList, "chromTIC"=chromTIC, "chromBPI"=chromBPI, "chromTIC_adjusted"=chromTIC_adjusted, "chromBPI_adjusted"=chromBPI_adjusted)) +} + +#@author G. Le Corguille +# This function convert if it is required the Retention Time in minutes RTSecondToMinute <- function(variableMetadata, convertRTMinute) { if (convertRTMinute){ #converting the retention times (seconds) into minutes print("converting the retention times into minutes in the variableMetadata") - variableMetadata[,"rt"]=variableMetadata[,"rt"]/60 - variableMetadata[,"rtmin"]=variableMetadata[,"rtmin"]/60 - variableMetadata[,"rtmax"]=variableMetadata[,"rtmax"]/60 + variableMetadata[,"rt"] <- variableMetadata[,"rt"]/60 + variableMetadata[,"rtmin"] <- variableMetadata[,"rtmin"]/60 + variableMetadata[,"rtmax"] <- variableMetadata[,"rtmax"]/60 } return (variableMetadata) } #@author G. Le Corguille -#This function format ions identifiers +# This function format ions identifiers formatIonIdentifiers <- function(variableMetadata, numDigitsRT=0, numDigitsMZ=0) { - splitDeco = strsplit(as.character(variableMetadata$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$name, namecustom=namecustom, variableMetadata[,!(colnames(variableMetadata) %in% c("name"))]) + splitDeco <- strsplit(as.character(variableMetadata$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$name, namecustom=namecustom, variableMetadata[,!(colnames(variableMetadata) %in% c("name"))]) return(variableMetadata) } #@author G. Le Corguille +# This function convert the remain NA to 0 in the dataMatrix +naTOzeroDataMatrix <- function(dataMatrix, naTOzero) { + if (naTOzero){ + dataMatrix[is.na(dataMatrix)] <- 0 + } + return (dataMatrix) +} + +#@author G. Le Corguille +# Draw the plotChromPeakDensity 3 per page in a pdf file +getPlotChromPeakDensity <- function(xdata, mzdigit=4) { + pdf(file="plotChromPeakDensity.pdf", width=16, height=12) + + par(mfrow = c(3, 1), mar = c(4, 4, 1, 0.5)) + + group_colors <- brewer.pal(3, "Set1")[1:length(unique(xdata$sample_group))] + names(group_colors) <- unique(xdata$sample_group) + + xlim <- c(min(featureDefinitions(xdata)$rtmin), max(featureDefinitions(xdata)$rtmax)) + for (i in 1:nrow(featureDefinitions(xdata))) { + mzmin = featureDefinitions(xdata)[i,]$mzmin + mzmax = featureDefinitions(xdata)[i,]$mzmax + plotChromPeakDensity(xdata, mz=c(mzmin,mzmax), col=group_colors, pch=16, xlim=xlim, main=paste(round(mzmin,mzdigit),round(mzmax,mzdigit))) + legend("topright", legend=names(group_colors), col=group_colors, cex=0.8, lty=1) + } + + dev.off() +} + +#@author G. Le Corguille +# Draw the plotChromPeakDensity 3 per page in a pdf file +getPlotAdjustedRtime <- function(xdata) { + + pdf(file="raw_vs_adjusted_rt.pdf", width=16, height=12) + + # Color by group + group_colors <- brewer.pal(3, "Set1")[1:length(unique(xdata$sample_group))] + if (length(group_colors) > 1) { + names(group_colors) <- unique(xdata$sample_group) + plotAdjustedRtime(xdata, col = group_colors[xdata$sample_group]) + legend("topright", legend=names(group_colors), col=group_colors, cex=0.8, lty=1) + } + + # Color by sample + plotAdjustedRtime(xdata, col = rainbow(length(xdata@phenoData@data$sample_name))) + legend("topright", legend=xdata@phenoData@data$sample_name, col=rainbow(length(xdata@phenoData@data$sample_name)), cex=0.8, lty=1) + + dev.off() +} + +#@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) { - variableMetadata_dataMatrix = peakTable(xset, method="medret", value=intval) - variableMetadata_dataMatrix = cbind(name=groupnames(xset),variableMetadata_dataMatrix) +getPeaklistW4M <- function(xdata, intval="into", convertRTMinute=F, numDigitsMZ=4, numDigitsRT=0, naTOzero=T, variableMetadataOutput, dataMatrixOutput) { + dataMatrix <- featureValues(xdata, method="medret", value=intval) + colnames(dataMatrix) <- tools::file_path_sans_ext(colnames(dataMatrix)) + dataMatrix = cbind(name=groupnamesW4M(xdata), dataMatrix) + variableMetadata <- featureDefinitions(xdata) + colnames(variableMetadata)[1] = "mz"; colnames(variableMetadata)[4] = "rt" + variableMetadata = data.frame(name=groupnamesW4M(xdata), variableMetadata) - dataMatrix = variableMetadata_dataMatrix[,(make.names(colnames(variableMetadata_dataMatrix)) %in% c("name", make.names(sampnames(xset))))] - - 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) + variableMetadata <- RTSecondToMinute(variableMetadata, convertRTMinute) + variableMetadata <- formatIonIdentifiers(variableMetadata, numDigitsRT=numDigitsRT, numDigitsMZ=numDigitsMZ) + dataMatrix <- naTOzeroDataMatrix(dataMatrix, naTOzero) 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$scanidx,drop=FALSE])) - #plotChrom(xcmsRaw(file), base=T) +#@author G. Le Corguille +# It allow different of field separators +getDataFrameFromFile <- function(filename, header=T) { + myDataFrame <- read.table(filename, header=header, sep=";", stringsAsFactors=F) + if (ncol(myDataFrame) < 2) myDataFrame <- read.table(filename, header=header, sep="\t", stringsAsFactors=F) + if (ncol(myDataFrame) < 2) myDataFrame <- read.table(filename, header=header, sep=",", stringsAsFactors=F) + if (ncol(myDataFrame) < 2) { + error_message="Your tabular file seems not well formatted. The column separators accepted are ; , and tabulation" + print(error_message) + stop(error_message) + } + return(myDataFrame) } -#@author Y. Guitton -getBPCs <- function (xcmsSet=NULL, pdfname="BPCs.pdf",rt=c("raw","corrected"), scanrange=NULL) { - cat("Creating BIC pdf...\n") +#@author G. Le Corguille +# Draw the BPI and TIC graphics +# colored by sample names or class names +getPlotChromatogram <- function(chrom, xdata, pdfname="Chromatogram.pdf", aggregationFun = "max") { - if (is.null(xcmsSet)) { - cat("Enter an xcmsSet \n") - stop() - } else { - files <- filepaths(xcmsSet) - } - - phenoDataClass<-as.vector(levels(xcmsSet@phenoData[,1])) #sometime phenoData have more than 1 column use first as class - - classnames<-vector("list",length(phenoDataClass)) - for (i in 1:length(phenoDataClass)){ - classnames[[i]]<-which( xcmsSet@phenoData[,1]==phenoDataClass[i]) - } + if (aggregationFun == "sum") + type="Total Ion Chromatograms" + else + type="Base Peak Intensity Chromatograms" - N <- dim(phenoData(xcmsSet))[1] + adjusted="Raw" + if (hasAdjustedRtime(xdata)) + adjusted="Adjusted" - TIC <- vector("list",N) - - - for (j in 1:N) { + main <- paste(type,":",adjusted,"data") - TIC[[j]] <- getBPC(files[j]) - #good for raw - # seems strange for corrected - #errors if scanrange used in xcmsSetgeneration - if (!is.null(xcmsSet) && rt == "corrected") - rtcor <- xcmsSet@rt$corrected[[j]] - else - rtcor <- NULL + pdf(pdfname, width=16, height=10) - TIC[[j]] <- getBPC(files[j],rtcor=rtcor) - # TIC[[j]][,1]<-rtcor + # Color by group + group_colors <- brewer.pal(3, "Set1")[1:length(unique(xdata$sample_group))] + if (length(group_colors) > 1) { + names(group_colors) <- unique(xdata$sample_group) + plot(chrom, col = group_colors[chrom$sample_group], main=main) + legend("topright", legend=names(group_colors), col=group_colors, cex=0.8, lty=1) } - - - pdf(pdfname,w=16,h=10) - cols <- rainbow(N) - lty = 1:N - pch = 1:N - #search for max x and max y in BPCs - xlim = range(sapply(TIC, function(x) range(x[,1]))) - ylim = range(sapply(TIC, function(x) range(x[,2]))) - ylim = c(-ylim[2], ylim[2]) - - - ##plot start - - if (length(phenoDataClass)>2){ - for (k in 1:(length(phenoDataClass)-1)){ - for (l in (k+1):length(phenoDataClass)){ - #print(paste(phenoDataClass[k],"vs",phenoDataClass[l],sep=" ")) - plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",phenoDataClass[k]," vs ",phenoDataClass[l], sep=""), xlab = "Retention Time (min)", ylab = "BPC") - colvect<-NULL - for (j in 1:length(classnames[[k]])) { - tic <- TIC[[classnames[[k]][j]]] - # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") - points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") - colvect<-append(colvect,cols[classnames[[k]][j]]) - } - for (j in 1:length(classnames[[l]])) { - # i=class2names[j] - tic <- TIC[[classnames[[l]][j]]] - points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") - colvect<-append(colvect,cols[classnames[[l]][j]]) - } - legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) - } - } - }#end if length >2 + # Color by sample + plot(chrom, col = rainbow(length(xdata@phenoData@data$sample_name)), main=main) + legend("topright", legend=xdata@phenoData@data$sample_name, col=rainbow(length(xdata@phenoData@data$sample_name)), cex=0.8, lty=1) - 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]]) - } - 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 - - #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") - - 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 - - dev.off() #pdf(pdfname,w=16,h=10) - - invisible(TIC) + dev.off() } - -#@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) -} - -## -## overlay TIC from all files in current folder or from xcmsSet, create pdf -## -#@author Y. Guitton -getTICs <- function(xcmsSet=NULL,files=NULL, pdfname="TICs.pdf",rt=c("raw","corrected")) { - 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$isdir], listed) - } else { - files <- filepaths(xcmsSet) - } - - phenoDataClass<-as.vector(levels(xcmsSet@phenoData[,1])) #sometime phenoData have more than 1 column use first as class - classnames<-vector("list",length(phenoDataClass)) - for (i in 1:length(phenoDataClass)){ - classnames[[i]]<-which( xcmsSet@phenoData[,1]==phenoDataClass[i]) - } - - N <- length(files) - TIC <- vector("list",N) - - for (i in 1:N) { - if (!is.null(xcmsSet) && rt == "corrected") - rtcor <- xcmsSet@rt$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]) - - - ##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]]) - } - 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 - - #case where only one class - if (length(phenoDataClass)==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]]) - } - - 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) -} - - - -## -## Get the polarities from all the samples of a condition +# Get the polarities from all the samples of a condition #@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") { +getSampleMetadata <- function(xdata=NULL, sampleMetadataOutput="sampleMetadata.tsv") { cat("Creating the sampleMetadata file...\n") #Create the sampleMetada dataframe - sampleMetadata=xset@phenoData - sampleNamesOrigin=rownames(sampleMetadata) - sampleNamesMakeNames=make.names(sampleNamesOrigin) + sampleMetadata <- xdata@phenoData@data + rownames(sampleMetadata) <- NULL + colnames(sampleMetadata) <- c("sampleMetadata", "class") + + sampleNamesOrigin <- sampleMetadata$sampleMetadata + sampleNamesMakeNames <- make.names(sampleNamesOrigin) if (any(duplicated(sampleNamesMakeNames))) { write("\n\nERROR: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names().\nIn your case, at least two columns after the renaming obtain the same name, thus XCMS will collapse those columns per name.", stderr()) @@ -330,63 +280,49 @@ } } - sampleMetadata$sampleMetadata=sampleNamesMakeNames - sampleMetadata=cbind(sampleMetadata["sampleMetadata"],sampleMetadata["class"]) #Reorder columns - rownames(sampleMetadata)=NULL + sampleMetadata$sampleMetadata <- sampleNamesMakeNames + - #Create a list of files name in the current directory - list_files=xset@filepaths #For each sample file, the following actions are done - for (file in list_files){ + for (fileIdx in 1:length(fileNames(xdata))) { #Check if the file is in the CDF format - if (!mzR:::netCDFIsFile(file)){ + if (!mzR:::netCDFIsFile(fileNames(xdata))) { # If the column isn't exist, with add one filled with NA - if (is.null(sampleMetadata$polarity)) sampleMetadata$polarity=NA + if (is.null(sampleMetadata$polarity)) sampleMetadata$polarity <- NA - #Create a simple xcmsRaw object for each sample - xcmsRaw=xcmsRaw(file) #Extract the polarity (a list of polarities) - polarity=xcmsRaw@polarity + polarity <- fData(xdata)[fData(xdata)$fileIdx == fileIdx,"polarity"] #Verify if all the scans have the same polarity - uniq_list=unique(polarity) + uniq_list <- unique(polarity) if (length(uniq_list)>1){ - polarity="mixed" + polarity <- "mixed" } else { - polarity=as.character(uniq_list) + 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) + sampleMetadata$polarity[fileIdx] <- polarity } } write.table(sampleMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=sampleMetadataOutput) - return(list("sampleNamesOrigin"=sampleNamesOrigin,"sampleNamesMakeNames"=sampleNamesMakeNames)) + return(list("sampleNamesOrigin"=sampleNamesOrigin, "sampleNamesMakeNames"=sampleNamesMakeNames)) } -## -## This function check if xcms will found all the files -## +# This function check if xcms will found all the files #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM checkFilesCompatibilityWithXcms <- function(directory) { cat("Checking files filenames compatibilities with xmcs...\n") # WHAT XCMS WILL FIND filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") - filepattern <- paste(paste("\\.", filepattern, "$", sep = ""),collapse = "|") + filepattern <- paste(paste("\\.", filepattern, "$", sep=""),collapse="|") info <- file.info(directory) - listed <- list.files(directory[info$isdir], pattern = filepattern,recursive = TRUE, full.names = TRUE) + 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) @@ -394,8 +330,8 @@ files[exists] <- sub("//","/",files[exists]) # WHAT IS ON THE FILESYSTEM - filesystem_filepaths=system(paste("find $PWD/",directory," -not -name '\\.*' -not -path '*conda-env*' -type f -name \"*\"", sep=""), intern=T) - filesystem_filepaths=filesystem_filepaths[grep(filepattern, filesystem_filepaths, perl=T)] + filesystem_filepaths <- system(paste0("find \"$PWD/",directory,"\" -not -name '\\.*' -not -path '*conda-env*' -type f -name \"*\""), intern=T) + filesystem_filepaths <- filesystem_filepaths[grep(filepattern, filesystem_filepaths, perl=T)] # COMPARISON if (!is.na(table(filesystem_filepaths %in% files)["FALSE"])) { @@ -406,16 +342,26 @@ } +#This function list the compatible files within the directory as xcms did +#@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM +getMSFiles <- function (directory) { + 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$isdir], listed) + exists <- file.exists(files) + files <- files[exists] + return(files) +} -## -## This function check if XML contains special caracters. It also checks integrity and completness. -## +# This function check if XML contains special caracters. It also checks integrity and completness. #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM checkXmlStructure <- function (directory) { cat("Checking XML structure...\n") - cmd=paste("IFS=$'\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 $xml;fi; done;") - capture=system(cmd,intern=TRUE) + cmd <- paste0("IFS=$'\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 $xml;fi; done;") + capture <- system(cmd, intern=TRUE) if (length(capture)>0){ #message=paste("The following mzXML or mzML file is incorrect, please check these files first:",capture) @@ -427,24 +373,22 @@ } -## -## This function check if XML contain special characters -## +# This function check if XML contain special characters #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM deleteXmlBadCharacters<- function (directory) { cat("Checking Non ASCII characters in the XML...\n") - processed=F - l=system( paste("find",directory, "-not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'"),intern=TRUE) + processed <- F + l <- system( paste0("find '",directory, "' -not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'"), intern=TRUE) for (i in l){ - cmd=paste("LC_ALL=C grep '[^ -~]' \"",i,"\"",sep="") - capture=suppressWarnings(system(cmd,intern=TRUE)) + cmd <- paste("LC_ALL=C grep '[^ -~]' \"", i, "\"", sep="") + capture <- suppressWarnings(system(cmd, intern=TRUE)) if (length(capture)>0){ - cmd=paste("perl -i -pe 's/[^[:ascii:]]//g;'",i) + cmd <- paste("perl -i -pe 's/[^[:ascii:]]//g;'",i) print( paste("WARNING: Non ASCII characters have been removed from the ",i,"file") ) - c=system(cmd,intern=TRUE) - capture="" - processed=T + c <- system(cmd, intern=TRUE) + capture <- "" + processed <- T } } if (processed) cat("\n\n") @@ -452,17 +396,15 @@ } -## -## This function will compute MD5 checksum to check the data integrity -## +# This function will compute MD5 checksum to check the data integrity #@author Gildas Le Corguille lecorguille@sb-roscoff.fr getMd5sum <- function (directory) { cat("Compute md5 checksum...\n") # WHAT XCMS WILL FIND filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") - filepattern <- paste(paste("\\.", filepattern, "$", sep = ""),collapse = "|") + filepattern <- paste(paste("\\.", filepattern, "$", sep=""),collapse="|") info <- file.info(directory) - listed <- list.files(directory[info$isdir], pattern = filepattern,recursive = TRUE, full.names = TRUE) + 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] @@ -476,80 +418,93 @@ # 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"]] +#@author Gildas Le Corguille lecorguille@sb-roscoff.fr +getRawfilePathFromArguments <- function(singlefile, zipfile, args, prefix="") { + if (!(prefix %in% c("","Positive","Negative","MS1","MS2"))) stop("prefix must be either '', 'Positive', 'Negative', 'MS1' or 'MS2'") + + if (!is.null(args[[paste0("zipfile",prefix)]])) zipfile <- args[[paste0("zipfile",prefix)]] - 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 (!is.null(args[[paste0("singlefile_galaxyPath",prefix)]])) { + singlefile_galaxyPaths <- args[[paste0("singlefile_galaxyPath",prefix)]] + singlefile_sampleNames <- args[[paste0("singlefile_sampleName",prefix)]] + } + if (exists("singlefile_galaxyPaths")){ + singlefile_galaxyPaths <- unlist(strsplit(singlefile_galaxyPaths,"\\|")) + singlefile_sampleNames <- unlist(strsplit(singlefile_sampleNames,"\\|")) + + 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] + # In case, an url is used to import data within Galaxy + singlefile_sampleName <- tail(unlist(strsplit(singlefile_sampleName,"/")), n=1) + singlefile[[singlefile_sampleName]] <- singlefile_galaxyPath } - if (exists("singlefile_galaxyPaths")){ - singlefile_galaxyPaths = unlist(strsplit(singlefile_galaxyPaths,",")) - singlefile_sampleNames = unlist(strsplit(singlefile_sampleNames,",")) - - 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)) + } + return(list(zipfile=zipfile, singlefile=singlefile)) } - # 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 +#@author Gildas Le Corguille lecorguille@sb-roscoff.fr retrieveRawfileInTheWorkingDirectory <- function(singlefile, zipfile) { if(!is.null(singlefile) && (length("singlefile")>0)) { for (singlefile_sampleName in names(singlefile)) { - singlefile_galaxyPath = singlefile[[singlefile_sampleName]] + 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!") + 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) } - file.symlink(singlefile_galaxyPath,singlefile_sampleName) + if (!suppressWarnings( try (file.link(singlefile_galaxyPath, singlefile_sampleName), silent=T))) + file.copy(singlefile_galaxyPath, singlefile_sampleName) + } - directory = "." + directory <- "." } - if(!is.null(zipfile) && (zipfile!="")) { + 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!") + 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"] + #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 + suppressWarnings(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) } + + +# This function retrieve a xset like object +#@author Gildas Le Corguille lecorguille@sb-roscoff.fr +getxcmsSetObject <- function(xobject) { + # XCMS 1.x + if (class(xobject) == "xcmsSet") + return (xobject) + # XCMS 3.x + if (class(xobject) == "XCMSnExp") { + # Get the legacy xcmsSet object + suppressWarnings(xset <- as(xobject, 'xcmsSet')) + if (!is.null(xset@phenoData$sample_group)) + sampclass(xset) <- xset@phenoData$sample_group + else + sampclass(xset) <- "." + return (xset) + } +}
--- a/macros.xml Wed Nov 29 09:47:20 2017 -0500 +++ b/macros.xml Tue Sep 18 16:13:36 2018 -0400 @@ -1,141 +1,52 @@ <?xml version="1.0"?> <macros> - <xml name="requirements"> - <requirements> - <requirement type="package" version="0.4_1">r-snow</requirement> - <requirement type="package" version="1.46.0">bioconductor-xcms</requirement> - <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" /> </stdio> </xml> - <token name="@COMMAND_XCMS_SCRIPT@"> - LC_ALL=C Rscript $__tool_directory__/xcms.r - </token> + <!-- COMMAND --> + <token name="@COMMAND_RSCRIPT@">LC_ALL=C Rscript $__tool_directory__/</token> <token name="@COMMAND_LOG_EXIT@"> ; return=\$?; - mv log.txt '$log'; - cat '$log'; + cat 'log.txt'; sh -c "exit \$return" </token> - <!-- zipfile load for planemo test --> - - <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="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> + <!-- INPUT_VALIDATORS --> + <xml name="input_validator_range_integer"> + <validator type="regex" message="The format is 'min,max'" >[0-9]+ *, *[0-9]+</validator> </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 name="input_validator_range_float"> + <validator type="regex" message="The format is 'min,max'" >[0-9]+\.?[0-9]* *, *[0-9]+\.?[0-9]*</validator> </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 name="input_validator_list_integer"> + <validator type="regex" message="The format is '1,2,4,6'" >[0-9, ]+</validator> </xml> - <token name="@COMMAND_PEAKLIST@"> - #if $peaklist.peaklistBool - variableMetadataOutput '$variableMetadata' - dataMatrixOutput '$dataMatrix' - convertRTMinute $peaklist.convertRTMinute - numDigitsMZ $peaklist.numDigitsMZ - numDigitsRT $peaklist.numDigitsRT - intval $peaklist.intval - #end if - </token> + + <token name="@INPUT_IMAGE_LABEL@">RData file</token> + <token name="@INPUT_IMAGE_HELP@">It contains a xcms3::XCMSnExp object (named xdata)</token> - <xml name="input_peaklist"> - <conditional name="peaklist"> - <param name="peaklistBool" type="boolean" label="Get a Peak List" /> - <when value="true"> - <param name="convertRTMinute" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="Convert retention time (seconds) into minutes" help="Convert the columns rtmed, rtmin and rtmax into minutes"/> - <param name="numDigitsMZ" type="integer" value="4" label="Number of decimal places for mass values reported in ions' identifiers." help="A minimum of 4 decimal places is recommended. Useful to avoid duplicates within identifiers" /> - <param name="numDigitsRT" type="integer" value="0" label="Number of decimal places for retention time values reported in ions' identifiers." help="Useful to avoid duplicates within identifiers" /> - <param name="intval" type="select" label="Reported intensity values" help="[intval] See the help section below"> - <option value="into" selected="true">into</option> - <option value="maxo">maxo</option> - <option value="intb">intb</option> - </param> - </when> - <when value="false" /> - </conditional> - </xml> - <xml name="output_peaklist" token_function=""> - <data name="variableMetadata" format="tabular" label="${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 + <!-- MISC --> + <token name="@HELP_AUTHORS_WRAPPERS@"> .. class:: infomark -**Galaxy integration** ABiMS TEAM - UPMC/CNRS - Station biologique de Roscoff and Yann Guitton yann.guitton@oniris-nantes.fr - part of Workflow4Metabolomics.org [W4M] +**Galaxy integration** ABiMS TEAM - SU/CNRS - Station biologique de Roscoff and Yann Guitton - LABERCA +Part of Workflow4Metabolomics.org [W4M] | Contact support@workflow4metabolomics.org for any questions or concerns about the Galaxy implementation of this tool. ---------------------------------------------------- - </token> - - <xml name="citation"> - <citations> - <citation type="doi">10.1021/ac051437y</citation> + <xml name="citation_w4m"> <citation type="doi">10.1093/bioinformatics/btu813</citation> - </citations> </xml> </macros>
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/macros_xcms.xml Tue Sep 18 16:13:36 2018 -0400 @@ -0,0 +1,244 @@ +<?xml version="1.0"?> +<macros> + + <token name="@WRAPPER_VERSION@">3.0.0</token> + <xml name="requirements"> + <requirements> + <requirement type="package" version="@WRAPPER_VERSION@">bioconductor-xcms</requirement> + <requirement type="package" version="1.1_4">r-batch</requirement> + <requirement type="package" version="1.1_2">r-rcolorbrewer</requirement> + <requirement type="package" version="6.0">unzip</requirement> + <yield /> + </requirements> + </xml> + + <!-- FILE_LOAD for planemo test --> + <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="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 saying 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_zip_sacuri"> + <section name="file_load_section"> + <conditional name="file_load_conditional"> + <param name="file_load_select" value="yes" /> + <param name="input" value="sacuri_dir_root.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> + + <xml name="test_file_load_single_ko15"> + <section name="file_load_section"> + <conditional name="file_load_conditional"> + <param name="file_load_select" value="yes" /> + <param name="input" value="ko15.CDF" ftype="netcdf" /> + </conditional> + </section> + </xml> + + <!-- PEAKLIST --> + <token name="@COMMAND_PEAKLIST@"> + #if $peaklist.peaklistBool + convertRTMinute $peaklist.convertRTMinute + numDigitsMZ $peaklist.numDigitsMZ + numDigitsRT $peaklist.numDigitsRT + intval $peaklist.intval + naTOzero $peaklist.naTOzero + #end if + </token> + + <xml name="input_peaklist"> + <conditional name="peaklist"> + <param name="peaklistBool" type="boolean" label="Get a Peak List" /> + <when value="true"> + <param name="convertRTMinute" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="Convert retention time (seconds) into minutes" help="Convert the columns rtmed, rtmin and rtmax into minutes"/> + <param name="numDigitsMZ" type="integer" value="4" label="Number of decimal places for mass values reported in ions' identifiers." help="A minimum of 4 decimal places is recommended. Useful to avoid duplicates within identifiers" /> + <param name="numDigitsRT" type="integer" value="0" label="Number of decimal places for retention time values reported in ions' identifiers." help="Useful to avoid duplicates within identifiers" /> + <param name="intval" type="select" label="Reported intensity values" help="[intval] See the help section below"> + <option value="into" selected="true">into</option> + <option value="maxo">maxo</option> + <option value="intb">intb</option> + </param> + <param name="naTOzero" type="boolean" checked="true" truevalue="TRUE" falsevalue="FALSE" label="Replace the remain NA by 0 in the dataMatrix" help="Rather mandatory for some downstream statistical steps"/> + </when> + <when value="false" /> + </conditional> + </xml> + + <xml name="output_peaklist" token_function=""> + <data name="variableMetadata" format="tabular" label="${image.name[:-6]}.@FUNCTION@.variableMetadata.tsv" from_work_dir="variableMetadata.tsv" > + <filter>(peaklist['peaklistBool'])</filter> + </data> + <data name="dataMatrix" format="tabular" label="${image.name[:-6]}.@FUNCTION@.dataMatrix.tsv" from_work_dir="dataMatrix.tsv" > + <filter>(peaklist['peaklistBool'])</filter> + </data> + </xml> + + <token name="@HELP_PEAKLIST@"> + +Get a Peak List +--------------- + +If 'true', the module generates two additional files corresponding to the peak list: +- the variable metadata file (corresponding to information about extracted ions such as mass or retention time) +- the data matrix (corresponding to related intensities) + +**decimal places for [mass or retention time] values in identifiers** + + | Ions' identifiers are constructed as MxxxTyyy where 'xxx' is the ion median mass and 'yyy' the ion median retention time. + | Two parameters are used to adjust the number of decimal places wanted in identifiers for mass and retention time respectively. + | Theses parameters do not affect decimal places in columns other than the identifier one. + +**Reported intensity values** + + | This parameter determines which values should be reported as intensities in the dataMatrix table; it correspond to xcms 'intval' parameter: + | - into: integrated area of original (raw) peak + | - maxo: maximum intensity of original (raw) peak + | - intb: baseline corrected integrated peak area (only available if peak detection was done by ‘findPeaks.centWave’) + + </token> + + <token name="@HELP_PEAKLIST_OUTPUT@"> +xset.variableMetadata.tsv : tabular format + + | Table containing information about ions; can be used as one input of **Quality_Metrics** or **Generic_filter** modules. + +xset.dataMatrix.tsv : tabular format + + | Table containing ions' intensities; can be used as one input of **Quality_Metrics** or **Generic_filter** modules. + </token> + + <!-- CENTWAVE --> + <token name="@COMMAND_CENTWAVE@"> + ppm $methods.ppm + peakwidth "c($methods.peakwidth)" + + ## Advanced + snthresh $methods.CentWaveAdv.snthresh + prefilter "c($methods.CentWaveAdv.prefilter)" + mzCenterFun $methods.CentWaveAdv.mzCenterFun + integrate $methods.CentWaveAdv.integrate + mzdiff $methods.CentWaveAdv.mzdiff + fitgauss $methods.CentWaveAdv.fitgauss + noise $methods.CentWaveAdv.noise + verboseColumns $methods.CentWaveAdv.verboseColumns + </token> + + <xml name="input_centwave"> + <param argument="ppm" type="integer" value="25" label="Max tolerated ppm m/z deviation in consecutive scans in ppm" help="for the initial ROI definition." /> + <param argument="peakwidth" type="text" value="20,50" label="Min,Max peak width in seconds" help="with the expected approximate peak width in chromatographic space."> + <expand macro="input_validator_range_float"/> + </param> + </xml> + + <xml name="input_centwaveAdv"> + <param argument="snthresh" type="integer" value="10" label="Signal to Noise ratio cutoff" /> + <param argument="prefilter" type="text" value="3,100" label="Prefilter step for for the first analysis step (ROI detection)" help="Separate by coma k, I. Mass traces are only retained if they contain at least ‘k‘ peaks with intensity ‘>= I‘."> + <expand macro="input_validator_range_integer"/> + </param> + <param argument="mzCenterFun" type="select" label="Name of the function to calculate the m/z center of the chromatographic peak" > + <option value="wMean">intensity weighted mean of the peak's m/z values</option> + <option value="mean">mean of the peak's m/z values</option> + <option value="apex">use the m/z value at the peak apex</option> + <option value="wMeanApex3">ntensity weighted mean of the m/z value at the peak apex and the m/z values left and right of it</option> + <option value="meanApex3">mean of the m/z value of the peak apex and the m/z values left and right of it</option> + </param> + <param argument="integrate" type="select" label="Integration method" > + <option value="1">peak limits are found through descent on the mexican hat filtered data (more robust, but less exact)</option> + <option value="2">peak limits based on real data (more accurate but prone to noise)</option> + </param> + <param argument="mzdiff" type="float" value="-0.001" label="Minimum difference in m/z for peaks with overlapping retention times" help="can be negative to allow overlap" /> + <param argument="fitgauss" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="fitgauss" help="whether or not a Gaussian should be fitted to each peak" /> + <param argument="noise" type="integer" value="0" label="Noise filter" help="allowing to set a minimum intensity required for centroids to be considered in the first analysis step (centroids with intensity lower than ‘noise’ are omitted from ROI detection)." /> + <param argument="verboseColumns" type="boolean" checked="false" truevalue="TRUE" falsevalue="FALSE" label="verbose Columns" help="whether additional peak meta data columns should be returned" /> + </xml> + + <token name="@COMMAND_CENTWAVEADVROI@"> + #if $sectionROI.roiList: + roiList '$sectionROI.roiList' + firstBaselineCheck $sectionROI.firstBaselineCheck + #if $sectionROI.roiScales != "": + roiScales "c($sectionROI.roiScales)" + #end if + #end if + </token> + + <xml name="input_centwaveAdvROI" token_optional="true"> + <param argument="roiList" type="data" format="tabular" optional="@OPTIONAL@" label="List of regions-of-interest (ROI) representing detected mass traces" help="If ROIs are submitted the first analysis step is omitted and chromatographic peak detection is performed on the submitted ROIs. Each ROI is expected to have the following elements specified: ‘scmin’ (start scan index), ‘scmax’ (end scan index), ‘mzmin’ (minimum m/z), ‘mzmax’ (maximum m/z), ‘length’ (number of scans), ‘intensity’ (summed intensity)." /> + <param argument="firstBaselineCheck" type="boolean" checked="true" truevalue="TRUE" falsevalue="FALSE" label="Is continuous data within regions of interest is checked to be above the first baseline." /> + <param argument="roiScales" type="text" value="" optional="true" label="Numeric vector defining the scale for each region of interest in ‘roiList’" help="Length equal to ‘roiList’ - Should be used for the centWave-wavelets (format 0.9,1,0.2)"> + <expand macro="input_validator_range_float"/> + </param> + </xml> + + <!-- MISC --> + <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 + +@HELP_AUTHORS_WRAPPERS@ + +--------------------------------------------------- + + </token> + + <token name="@HELP_XCMS_MANUAL@"> + +For details and explanations concerning all the parameters and workflow of xcms_ package, see its manual_ and this example_ + +.. _xcms: https://bioconductor.org/packages/release/bioc/html/xcms.html +.. _manual: http://www.bioconductor.org/packages/release/bioc/manuals/xcms/man/xcms.pdf +.. _example: https://bioconductor.org/packages/release/bioc/vignettes/xcms/inst/doc/xcms.html + + </token> + + <xml name="citation"> + <citations> + <citation type="doi">10.1021/ac051437y</citation> + <expand macro="citation_w4m"/> + </citations> + </xml> +</macros>
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/faahKO.xset.group2.retcor2.group2.fillPeaks2.dataMatrix.NAless.tsv Tue Sep 18 16:13:36 2018 -0400 @@ -0,0 +1,6333 @@ +name ko15 ko16 wt15 wt16 +M200T3488 6029.94499999992 1646.69331417609 0 0 +M200T3544 0 0 4586.52650000006 0 +M200T3882 1144.01499999999 1716.38461192716 1449.84316738066 0 +M200T3822 0 0 1018.81499999998 0 +M200T3184 0 4333.4849999999 0 0 +M200T2867 76879.3654931277 506848.884266667 53985.4351594335 76607.9704340259 +M200T3978 1324.38867325921 0 495.468308772648 1242.61000000004 +M200T3681 0 645.622409362349 5108.15999999988 1576.85791107837 +M201T3788 0 0 1680.81000000006 0 +M201T3536 0 2863.6449999999 0 1106.33802122178 +M201T4052 318.548929605957 205.380230930156 1339.64000000005 689.071631937096 +M201T3276 0 1497.96219436021 4090.91000000014 1027.56552966783 +M201T3630 0 0 2121.84236212046 2931.24499999993 +M201T2590 0 14307.2299999999 0 0 +M201T3985 0 0 1657.33500000006 0 +M201T3138 27830.0354581329 254581.758476187 63151.125622074 28083.6051504647 +M201T3693 0 0 2906.20499999993 0 +M201T3511 4023.61499999999 694.250350240936 0 0 +M201T3790 446.184819684897 1118.41040705157 0 3245.80999999992 +M201T4047 0 0 1275.47500000004 1220.69999999998 +M201T3925 128.578946259232 0 1284.72816666668 0 +M201T3874 886.610568446999 1220.70000000004 521.172821104497 0 +M201T4152 0 774.575999999962 0 0 +M202T3859 892.050000000031 753.237186536855 0 0 +M202T4007 0 0 831.015000000029 0 +M202T3303 2759.095 3872.96250000005 0 791.36463944858 +M202T3379 9879.84499999977 1320.19136751317 0 0 +M202T3767 0 2564.84247599701 1151.71733333335 0 +M202T3181 7682.58500000004 3806.07999999999 0 0 +M202T4031 389.407001047583 688.600000000024 754.233600000007 0 +M202T3886 0 841.96999999998 0 0 +M202T4137 0 0 0 732.419999999983 +M202T3931 354.703176356038 0 1461.71 0 +M202T3271 77227.3769090911 7016.51333681604 44589.8848371899 7116.58518941033 +M202T2891 36435.3079999996 6433.2631875585 29664.6514201645 2640.91263857081 +M202T3285 0 0 0 3372.57500000002 +M203T4040 0 0 0 978.124999999977 +M203T3308 0 1694.89499999996 0 1136.19000000004 +M203T3338 3852.53759999981 2974.74816666671 0 0 +M203T4156 0 1020.37999999998 0 374.999685196314 +M203T3714 0 0 0 3345.96999999992 +M203T3787 790.967612320259 2690.23500000009 1939.932414103 955.908725789886 +M203T2679 0 0 0 6346.07499999991 +M203T3966 1720.81523845536 136.302197105375 2796.65500000002 1490.80528084004 +M203T4059 179.980340762509 0 0 1550.91499999999 +M204T3535 0 0 967.169999999987 0 +M204T3666 3002.85120000003 0 572.831482902373 0 +M204T4031 1111.14999999999 0 0 129.105921444997 +M204T4126 0 0 0 793.455000000074 +M204T3060 3905.96266666662 0 0 0 +M204T3845 0 238.782610500926 1676.11500000006 0 +M204T3395 706.339294579149 155.065526139688 1687.9990131206 1586.91 +M204T2638 0 0 3518.12000000012 0 +M204T4139 0 0 0 1089.24000000004 +M204T4073 0 1062.63500000004 0 0 +M204T3604 0 0 0 1032.90000000004 +M204T3698 0 0 0 1446.05999999997 +M205T3582 0 0 964.383879177602 2466.43999999994 +M205T2582 8805.94199999988 0 0 9189.67999999988 +M205T2789 1924712.01585714 1757150.9648 2129885.09357143 1634341.9855862 +M205T3783 2777.8750000001 0 5180.14999999997 0 +M205T3909 0 3392.55866666671 0 0 +M205T4051 2600.69759999987 0 1198.79000000004 0 +M206T4070 0 0 793.454999999982 0 +M206T3084 0 0 0 4682.47999999989 +M206T3353 271.698957954148 0 641.649999999985 0 +M206T3285 0 0 0 1023.50999999998 +M206T3192 2337.7226842156 10174.0649999999 0 531.384477548613 +M206T4108 1685.41525000004 800.018271889045 0 280.678679423257 +M206T2791 213659.293920001 272706.72055332 253825.557279999 241844.442068965 +M206T3444 1938.56022964102 2400.20806107181 4692.21741165203 3090.62812500006 +M206T3247 1713.67500000006 0 0 3137.82499999993 +M206T3680 0 0 0 2237.94999999995 +M206T3191 1931.20999999997 0 0 0 +M206T3755 510.0375381342 0 0 2529.03999999997 +M206T2570 0 0 9324.27000000002 924.940634138229 +M206T3347 0 528.62804858849 535.449055667051 1536.82999999996 +M206T3578 256.653471117468 1539.92082670481 3048.62 0 +M206T4051 552.778648243926 0 1059.11170758581 1505.46128571426 +M206T3428 646.611502206307 0 0 2558.77500000009 +M206T3366 0 0 437.938534750678 2723.09999999996 +M206T3290 0 0 0 3643.31999999999 +M206T3765 136.571401955603 0 0 3962.32680000009 +M207T3588 0 0 0 6897.63840000006 +M207T3175 3522.04626549397 6866.59314285725 0 1235.85607115244 +M207T3134 0 9225.67499999978 8235.21758066989 0 +M207T2854 5004.32480807482 12172.5700000004 0 0 +M207T3759 0 1286.50236842793 3273.20559049952 4175.41999999994 +M207T2718 389478.937916777 451863.663 364609.769939392 360908.933642857 +M207T3665 0 0 0 8972.14499999979 +M207T3600 5669.9950000002 0 0 0 +M207T2905 0 0 0 8494.8200000003 +M207T3425 0 5000.17500000017 0 0 +M207T4088 1435.55925820455 0 2114.31500000007 1013.28845278218 +M207T3802 10555.4061538462 0 1244.6278133209 0 +M208T3292 4540.06500000016 3746.60999999993 1258.25999999998 0 +M208T4097 0 769.979999999982 0 1125.1551111111 +M208T2867 2835.77999999993 0 0 0 +M208T3036 0 5546.35999999993 0 0 +M208T2969 970.726980178282 0 4039.26499999995 0 +M208T3111 984.994001704943 3420.65280000003 0 0 +M209T3758 0 1698.02500000006 0 0 +M209T4026 709.264698813148 1087.67500000004 0 0 +M209T3015 5637.12999999987 2221.49232329541 9083.26000000032 0 +M209T2619 0 18319.89 24254.3700000002 7860.99500000027 +M209T3858 1176.67913750507 2158.13499999995 0 0 +M209T3632 5375.08800000005 0 0 0 +M209T4110 0 1666.72500000006 0 2665.02469999998 +M209T3136 1560.16707357086 0 0 7450.59876923079 +M209T2928 0 0 6851.56999999991 0 +M209T3883 749.748785970414 2065.79999999997 0 4182.01584134251 +M209T3234 6522.45688888881 0 0 0 +M209T3455 3018.88499999993 611.480244641981 0 0 +M209T3619 0 0 0 3733.90646153847 +M209T4114 1269.21499999997 796.584999999981 1057.82733333335 0 +M210T3957 0 856.054999999988 0 0 +M210T3912 0 726.067200000006 0 0 +M210T3192 7101.62092307694 526.291928557367 0 0 +M210T2667 0 0 8141.15098493261 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--- a/xcms.r Wed Nov 29 09:47:20 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,229 +0,0 @@ -#!/usr/bin/env Rscript -# xcms.r version="2.2.0" -#Authors ABIMS TEAM -#BPC Addition from Y.guitton - - -# ----- LOG FILE ----- -log_file=file("log.txt", open = "wt") -sink(log_file) -sink(log_file, type = "output") - - -# ----- PACKAGE ----- -cat("\tPACKAGE INFO\n") -#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="") -} -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"); - - - - - -# ----- ARGUMENTS ----- -cat("\tARGUMENTS INFO\n") -listArguments = parseCommandArgs(evaluate=FALSE) #interpretation of arguments given in command line as an R list of objects -write.table(as.matrix(listArguments), col.names=F, quote=F, sep='\t') - -cat("\n\n"); - - -# ----- ARGUMENTS PROCESSING ----- -cat("\tINFILE PROCESSING INFO\n") - -#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 -} - -#Import the different functions -source_local("lib.r") - -cat("\n\n") - -#Import the different functions - -# ----- PROCESSING INFILE ----- -cat("\tARGUMENTS PROCESSING INFO\n") - -# Save arguments to generate a report -if (!exists("listOFlistArguments")) listOFlistArguments=list() -listOFlistArguments[[paste(format(Sys.time(), "%y%m%d-%H:%M:%S_"),listArguments[["xfunction"]],sep="")]] = listArguments - - -#saving the commun parameters -thefunction = listArguments[["xfunction"]]; listArguments[["xfunction"]]=NULL #delete from the list of arguments - -xsetRdataOutput = paste(thefunction,"RData",sep=".") -if (!is.null(listArguments[["xsetRdataOutput"]])){ - xsetRdataOutput = listArguments[["xsetRdataOutput"]]; listArguments[["xsetRdataOutput"]]=NULL -} - -#saving the specific parameters -rplotspdf = "Rplots.pdf" -if (!is.null(listArguments[["rplotspdf"]])){ - rplotspdf = listArguments[["rplotspdf"]]; listArguments[["rplotspdf"]]=NULL -} -sampleMetadataOutput = "sampleMetadata.tsv" -if (!is.null(listArguments[["sampleMetadataOutput"]])){ - sampleMetadataOutput = listArguments[["sampleMetadataOutput"]]; listArguments[["sampleMetadataOutput"]]=NULL -} -variableMetadataOutput = "variableMetadata.tsv" -if (!is.null(listArguments[["variableMetadataOutput"]])){ - variableMetadataOutput = listArguments[["variableMetadataOutput"]]; listArguments[["variableMetadataOutput"]]=NULL -} -dataMatrixOutput = "dataMatrix.tsv" -if (!is.null(listArguments[["dataMatrixOutput"]])){ - dataMatrixOutput = listArguments[["dataMatrixOutput"]]; listArguments[["dataMatrixOutput"]]=NULL -} -if (!is.null(listArguments[["convertRTMinute"]])){ - convertRTMinute = listArguments[["convertRTMinute"]]; listArguments[["convertRTMinute"]]=NULL -} -if (!is.null(listArguments[["numDigitsMZ"]])){ - 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 -} - -if (thefunction %in% c("xcmsSet","retcor")) { - ticspdf = listArguments[["ticspdf"]]; listArguments[["ticspdf"]]=NULL - bicspdf = listArguments[["bicspdf"]]; listArguments[["bicspdf"]]=NULL -} - - -if (thefunction %in% c("xcmsSet","retcor","fillPeaks")) { - if (!exists("singlefile")) singlefile=NULL - if (!exists("zipfile")) zipfile=NULL - rawFilePath = getRawfilePathFromArguments(singlefile, zipfile, listArguments) - zipfile = rawFilePath$zipfile - singlefile = rawFilePath$singlefile - listArguments = rawFilePath$listArguments - directory = retrieveRawfileInTheWorkingDirectory(singlefile, zipfile) - md5sumList=list("origin"=getMd5sum(directory)) -} - -#addition of the directory to the list of arguments in the first position -if (thefunction == "xcmsSet") { - checkXmlStructure(directory) - checkFilesCompatibilityWithXcms(directory) - listArguments=append(directory, listArguments) -} - - -#addition of xset object to the list of arguments in the first position -if (exists("xset")){ - listArguments=append(list(xset), listArguments) -} - -cat("\n\n") - - - - -# ----- MAIN PROCESSING INFO ----- -cat("\tMAIN PROCESSING INFO\n") - - -#Verification of a group step before doing the fillpeaks job. - -if (thefunction == "fillPeaks") { - res=try(is.null(groupnames(xset))) - if (class(res) == "try-error"){ - error<-geterrmessage() - write(error, stderr()) - stop("You must always do a group step after a retcor. Otherwise it won't work for the fillpeaks step") - } - -} - -#change the default display settings -#dev.new(file="Rplots.pdf", width=16, height=12) -pdf(file=rplotspdf, width=16, height=12) -if (thefunction == "group") { - par(mfrow=c(2,2)) -} -#else if (thefunction == "retcor") { -#try to change the legend display -# par(xpd=NA) -# par(xpd=T, mar=par()$mar+c(0,0,0,4)) -#} - - -#execution of the function "thefunction" with the parameters given in "listArguments" - -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") - -dev.off() #dev.new(file="Rplots.pdf", width=16, height=12) - -if (thefunction == "xcmsSet") { - - #transform the files absolute pathways into relative pathways - xset@filepaths<-sub(paste(getwd(),"/",sep="") ,"", xset@filepaths) - if(exists("zipfile") && !is.null(zipfile) && (zipfile!="")) { - - #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 - - } - - } - -} - -# -- 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) -} else if (thefunction == "retcor") { - cat("\t\tGET TIC GRAPH\n") - getTICs(xcmsSet=xset, pdfname=ticspdf,rt="corrected") - getBPCs(xcmsSet=xset,rt="corrected",pdfname=bicspdf) -} - -if ((thefunction == "group" || thefunction == "fillPeaks") && exists("intval")) { - getPeaklistW4M(xset,intval,convertRTMinute,numDigitsMZ,numDigitsRT,variableMetadataOutput,dataMatrixOutput) -} - - -cat("\n\n") - -# ----- EXPORT ----- - -cat("\tXSET OBJECT INFO\n") -print(xset) -#delete the parameters to avoid the passage to the next tool in .RData image - - -#saving R data in .Rdata file to save the variables used in the present tool -objects2save = c("xset","zipfile","singlefile","listOFlistArguments","md5sumList","sampleNamesList") -save(list=objects2save[objects2save %in% ls()], file=xsetRdataOutput) - -cat("\n\n") - - -cat("\tDONE\n")
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/xcms_fillpeaks.r Tue Sep 18 16:13:36 2018 -0400 @@ -0,0 +1,110 @@ +#!/usr/bin/env Rscript + +# ----- LOG FILE ----- +log_file=file("log.txt", open = "wt") +sink(log_file) +sink(log_file, type = "output") + + +# ----- PACKAGE ----- +cat("\tSESSION INFO\n") + +#Import the different functions +source_local <- function(fname){ argv <- commandArgs(trailingOnly=FALSE); base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)); source(paste(base_dir, fname, sep="/")) } +source_local("lib.r") +source_local("lib-xcms3.x.x.r") + +pkgs <- c("xcms","batch") +loadAndDisplayPackages(pkgs) +cat("\n\n"); + + +# ----- ARGUMENTS ----- +cat("\tARGUMENTS INFO\n") +args = parseCommandArgs(evaluate=FALSE) #interpretation of arguments given in command line as an R list of objects +write.table(as.matrix(args), col.names=F, quote=F, sep='\t') + +cat("\n\n") + +# ----- PROCESSING INFILE ----- +cat("\tARGUMENTS PROCESSING INFO\n") + +#saving the specific parameters +method <- "FillChromPeaks" + +if (!is.null(args$convertRTMinute)) convertRTMinute <- args$convertRTMinute +if (!is.null(args$numDigitsMZ)) numDigitsMZ <- args$numDigitsMZ +if (!is.null(args$numDigitsRT)) numDigitsRT <- args$numDigitsRT +if (!is.null(args$intval)) intval <- args$intval +if (!is.null(args$naTOzero)) naTOzero <- args$naTOzero + +cat("\n\n") + + +# ----- ARGUMENTS PROCESSING ----- +cat("\tINFILE PROCESSING INFO\n") + +#image is an .RData file necessary to use xset variable given by previous tools +load(args$image) +if (!exists("xdata")) stop("\n\nERROR: The RData doesn't contain any object called 'xdata'. This RData should have been created by an old version of XMCS 2.*") + +#Verification of a group step before doing the fillpeaks job. +if (!hasFeatures(xdata)) stop("You must always do a group step after a retcor. Otherwise it won't work for the fillpeaks step") + +# Handle infiles +if (!exists("singlefile")) singlefile <- NULL +if (!exists("zipfile")) zipfile <- NULL +rawFilePath <- getRawfilePathFromArguments(singlefile, zipfile, args) +zipfile <- rawFilePath$zipfile +singlefile <- rawFilePath$singlefile +directory <- retrieveRawfileInTheWorkingDirectory(singlefile, zipfile) + +# Check some character issues +md5sumList <- list("origin" = getMd5sum(directory)) +checkXmlStructure(directory) +checkFilesCompatibilityWithXcms(directory) + + +cat("\n\n") + + +# ----- MAIN PROCESSING INFO ----- +cat("\tMAIN PROCESSING INFO\n") + + +cat("\t\tCOMPUTE\n") + +cat("\t\t\tFilling missing peaks using default settings\n") +# clear the arguement list to remove unexpected key/value as singlefile_galaxyPath or method ... +args <- args[names(args) %in% slotNames(do.call(paste0(method,"Param"), list()))] + +fillChromPeaksParam <- do.call(paste0(method,"Param"), args) +print(fillChromPeaksParam) +xdata <- fillChromPeaks(xdata, param=fillChromPeaksParam) + +if (exists("intval")) { + getPeaklistW4M(xdata, intval, convertRTMinute, numDigitsMZ, numDigitsRT, naTOzero, "variableMetadata.tsv", "dataMatrix.tsv") +} + +cat("\n\n") + +# ----- EXPORT ----- + +cat("\tXCMSnExp OBJECT INFO\n") +print(xdata) +cat("\n\n") + +cat("\txcmsSet OBJECT INFO\n") +# Get the legacy xcmsSet object +xset <- getxcmsSetObject(xdata) +print(xset) +cat("\n\n") + +#saving R data in .Rdata file to save the variables used in the present tool +objects2save = c("xdata","zipfile","singlefile","md5sumList","sampleNamesList", "chromTIC", "chromBPI", "chromTIC_adjusted", "chromBPI_adjusted") +save(list=objects2save[objects2save %in% ls()], file="fillpeaks.RData") + +cat("\n\n") + + +cat("\tDONE\n")