Mercurial > repos > lecorguille > xcms_group
changeset 14:833d2c821d9c draft
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 9f72e947d9c241d11221cad561f3525d27231857
| author | lecorguille |
|---|---|
| date | Tue, 18 Sep 2018 16:11:06 -0400 |
| parents | 13558e8a4778 |
| children | dd6eb1f37f40 |
| files | README.rst abims_xcms_group.xml lib-xcms3.x.x.r lib.r macros.xml macros_xcms.xml static/images/xcms_group_workflow.png test-data/MM-single.xset.merged.RData test-data/faahKO-single-class.xset.merged.RData test-data/faahKO-single.xset.merged.RData test-data/faahKO-single.xset.merged.group.retcor.RData test-data/faahKO.xset.RData test-data/faahKO.xset.group.dataMatrix.tsv test-data/faahKO.xset.group.retcor.RData test-data/faahKO.xset.group.variableMetadata.tsv test-data/faahKO_reduce.zip test-data/ko15.CDF test-data/ko16.CDF test-data/wt15.CDF test-data/wt16.CDF xcms.r xcms_group.r |
| diffstat | 22 files changed, 12133 insertions(+), 11823 deletions(-) [+] |
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--- a/README.rst Wed Nov 29 09:46:03 2017 -0500 +++ b/README.rst Tue Sep 18 16:11:06 2018 -0400 @@ -2,10 +2,22 @@ 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. + +- NEW: a bunch of new options: PeakDensity.minSamples), MzClust.minSamples) + +- NEW: a new density plot + +- IMPROVEMENT: the advanced options are now in sections. It will allow you to access to all the parameters and to know their default values. + + **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: Add an option to export the peak list at this step without have to wait camara.annotate @@ -14,11 +26,13 @@ - BUGFIX: the default value of "density" -> "Maximum number of groups to identify in a single m/z slice" which was of 5 have been changed to fix with the XMCS default values to 50 + **Version 2.0.6 - 06/07/2016** - UPGRADE: upgrate the xcms version from 1.44.0 to 1.46.0 -**Version 2.0.5 04/04/2016** + +**Version 2.0.5 - 04/04/2016** - TEST: refactoring to pass planemo test using conda dependencies
--- a/abims_xcms_group.xml Wed Nov 29 09:46:03 2017 -0500 +++ b/abims_xcms_group.xml Tue Sep 18 16:11:06 2018 -0400 @@ -1,286 +1,270 @@ -<tool id="abims_xcms_group" name="xcms.group" version="2.1.1"> +<tool id="abims_xcms_group" name="xcms groupChromPeaks (group)" version="@WRAPPER_VERSION@.0"> - <description>Group peaks together across samples using overlapping m/z bins and calculation of smoothed peak distributions in chromatographic time.</description> + <description>Perform the correspondence, the grouping of chromatographic peaks within and between samples.</description> <macros> <import>macros.xml</import> + <import>macros_xcms.xml</import> </macros> <expand macro="requirements"/> <expand macro="stdio"/> <command><![CDATA[ - @COMMAND_XCMS_SCRIPT@ - xfunction group + @COMMAND_RSCRIPT@/xcms_group.r image '$image' - xsetRdataOutput '$xsetRData' - rplotspdf '$rplotsPdf' - method $methods.method - #if $methods.method == "density": - ## minsamp $methods.minsamp - minfrac $methods.minfrac + #if $methods.method == "PeakDensity": bw $methods.bw - mzwid $methods.mzwid - sleep 0.001 - #if $methods.density_options.option == "show": - max $methods.density_options.max - #end if - #elif $methods.method == "mzClust": - mzppm $methods.mzppm - mzabs $methods.mzabs - minfrac $methods.minfrac - ## minsamp $methods.minsamp + minFraction $methods.minFraction + minSamples $methods.minSamples + binSize $methods.binSize + ## Advanced + maxFeatures $methods.PeakDensityAdv.maxFeatures + #elif $methods.method == "MzClust": + ppm $methods.ppm + absMz $methods.absMz + minFraction $methods.minFraction + minSamples $methods.minSamples #else: - mzVsRTbalance $methods.mzVsRTbalance - mzCheck $methods.mzCheck - rtCheck $methods.rtCheck + mzVsRtBalance $methods.mzVsRtBalance + absMz $methods.absMz + absRt $methods.absRt kNN $methods.kNN #end if @COMMAND_PEAKLIST@ + @COMMAND_FILE_LOAD@ + @COMMAND_LOG_EXIT@ ]]></command> <inputs> - <param name="image" type="data" format="rdata.xcms.raw,rdata.xcms.group,rdata.xcms.retcor,rdata" label="xset RData file" help="output file from another function xcms (xcmsSet, retcor etc.)" /> + <param name="image" type="data" format="rdata.xcms.findchrompeaks,rdata.xcms.group,rdata.xcms.retcor,rdata" label="@INPUT_IMAGE_LABEL@" help="@INPUT_IMAGE_HELP@ from: findChromPeaks, groupChromPeaks or adjustRtime" /> <conditional name="methods"> - <param name="method" type="select" label="Method to use for grouping" help="[method] See the help section below"> - <option value="density" selected="true">density</option> - <option value="mzClust" >mzClust</option> - <option value="nearest" >nearest</option> + <param name="method" type="select" label="Method to use for grouping" help="See the help section below"> + <option value="PeakDensity" selected="true">PeakDensity - peak grouping based on time dimension peak densities</option> + <option value="MzClust">MzClust - high resolution peak grouping for single spectra (direct infusion) MS data</option> + <option value="NearestPeaks">NearestPeaks - chromatographic peak grouping based on their proximity in the mz-rt space</option> </param> - <when value="density"> - <param name="bw" type="float" value="30" label="Bandwidth" help="[bw] bandwidth (standard deviation or half width at half maximum) of gaussian smoothing kernel to apply to the peak density chromatogram" /> - <param name="minfrac" type="float" value="0.5" label="Minimum fraction of samples necessary" help="[minfrac] in at least one of the sample groups for it to be a valid group" /> - <param name="mzwid" type="float" value="0.25" label="Width of overlapping m/z slices" help="[mzwid] to use for creating peak density chromatograms and grouping peaks across samples " /> -<!-- - <param name="minsamp" type="hidden" value="1" label="minsamp" help="minimum number of samples necessary in at least one of the sample groups for it to be a valid group " /> ---> - <conditional name="density_options"> - <param name="option" type="select" label="Advanced options"> - <option value="show">show</option> - <option value="hide" selected="true">hide</option> - </param> - <when value="show"> - <param name="max" type="integer" value="50" label="Maximum number of groups to identify in a single m/z slice" help="[max]" /> + <when value="PeakDensity"> + <param argument="bw" type="float" value="30" label="Bandwidth" help="bandwidth (standard deviation or half width at half maximum) of gaussian smoothing kernel to apply to the peak density chromatogram" /> + <param argument="minFraction" type="float" value="0.5" label="Minimum fraction of samples" help="in at least one sample group in which the peaks have to be present to be considered as a peak group (feature)" /> + <param argument="minSamples" type="integer" value="1" label="Minimum number of samples" help="in at least one sample group in which the peaks have to be detected to be considered a peak group (feature)" /> + <param argument="binSize" type="float" value="0.25" label="Width of overlapping m/z slices" help="to use for creating peak density chromatograms and grouping peaks across samples (previously mzdiff)" /> + + <section name="PeakDensityAdv" title="Advanced Options" expanded="False"> + <param argument="maxFeatures" type="integer" value="50" label="Maximum number of groups to identify in a single m/z slice" /> + </section> </when> - <when value="hide"> + <when value="MzClust"> + <param argument="ppm" type="integer" value="20" label="Relative mz error for clustering/grouping in ppm" /> + <param argument="absMz" type="float" value="0" label="Absolute mz error for clustering/grouping" /> + <param argument="minFraction" type="float" value="0.5" label="Minimum fraction of samples" help="in at least one sample group in which the peaks have to be present to be considered as a peak group (feature)" /> + <param argument="minSamples" type="integer" value="1" label="Minimum number of samples" help="in at least one sample group in which the peaks have to be detected to be considered a peak group (feature)" /> + </when> + <when value="NearestPeaks"> + <param argument="mzVsRtBalance" type="integer" value="10" label="Factor by which mz values are multiplied before calculating the (euclician) distance between two peaks" /> + <param argument="absMz" type="float" value="0.2" label="Maximum tolerated distance for mz values" /> + <param argument="absRt" type="integer" value="15" label="Maximum tolerated distance for RT values" /> + <param argument="kNN" type="integer" value="10" label="Number of nearest Neighbours to check" /> </when> </conditional> - </when> - <when value="mzClust"> - <param name="mzppm" type="integer" value="20 " label="Relative error used for clustering/grouping in ppm" help="[mzppm]" /> - <param name="mzabs" type="float" value="0" label="Absolute error used for clustering/grouping" help="[mzabs]" /> - <param name="minfrac" type="float" value="0" label="Minimum fraction of each class in one bin" help="[minfrac] minimum fraction of samples necessary in at least one of the sample groups for it to be a valid group" /> -<!-- - <param name="minsamp" type="hidden" value="1" label="minsamp" help="minimum number of samples necessary in at least one of the sample groups for it to be a valid group " /> ---> - </when> - <when value="nearest"> - <param name="mzVsRTbalance" type="integer" value="10 " label="Multiplicator for mz value before calculating the (euclidean) distance between two peaks." help="[mzVsRTbalance]" /> - <param name="mzCheck" type="float" value="0.2" label="Maximum tolerated distance for mz" help="[mzCheck]" /> - <param name="rtCheck" type="integer" value="15" label="Maximum tolerated distance for RT" help="[rtCheck]" /> - <param name="kNN" type="integer" value="10" label="Number of nearest Neighbours to check" help="[kNN]" /> - </when> - </conditional> -<!-- - <param name="sleepy" type="float" value="0.001" label="sleep" help="seconds to pause between plotting successive steps of the peak grouping algorithm. peaks are plotted as points showing relative intensity. identified groups are flanked by dotted vertical lines"> - <validator type="in_range" message="Must be more than 0" min="0.001" max="inf"/> - </param> ---> + <expand macro="input_peaklist"/> - <expand macro="input_peaklist"/> + <expand macro="input_file_load"/> </inputs> <outputs> - <data name="xsetRData" format="rdata.xcms.group" label="${image.name[:-6]}.group.RData"/> - <data name="rplotsPdf" format="pdf" label="${image.name[:-6]}.group.Rplots.pdf"/> + <data name="xsetRData" format="rdata.xcms.group" label="${image.name[:-6]}.groupChromPeaks.RData" from_work_dir="group.RData"/> + <data name="plotChromPeakDensity" format="pdf" label="${image.name[:-6]}.groupChromPeaks.plotChromPeakDensity.pdf" from_work_dir="plotChromPeakDensity.pdf"/> <expand macro="output_peaklist" function="group"/> - <data name="log" format="txt" label="xset.log.txt" hidden="true" /> </outputs> <tests> - <!--<test> - <param name="image" value="xset.RData"/> - <param name="methods|method" value="density"/> - <param name="methods|bw" value="5"/> - <param name="methods|minfrac" value="0.3"/> - <param name="methods|mzwid" value="0.01"/> - <param name="methods|density_options|option" value="show"/> - <param name="methods|density_options|max" value="50"/> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 0.7-1139.7 seconds (0-19 minutes)" /> - <has_text text="Mass range: 50.0021-999.9863 m/z" /> - <has_text text="Peaks: 59359 (about 14840 per sample)" /> - <has_text text="Peak Groups: 48998" /> - <has_text text="Sample classes: bio, blank" /> - </assert_contents> - </output> + <!-- from xcmsSet + <test> + <param name="image" value="faahKO-single-class.xset.merged.RData" ftype="rdata"/> + <conditional name="methods"> + <param name="method" value="PeakDensity"/> + <param name="bw" value="5"/> + <param name="minFraction" value="0.3"/> + <param name="binSize" value="0.01"/> + <section name="PeakDensityAdv"> + <param name="maxFeatures" value="50"/> + </section> + </conditional> + <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="bw: 5" /> + <has_text text="minFraction: 0.3" /> + <has_text text="maxFeatures: 50" /> + <has_text text="object with 4 samples" /> + <has_text text="Time range: 2506.1-4477.9 seconds (41.8-74.6 minutes)" /> + <has_text text="Mass range: 200.1-600 m/z" /> + <has_text text="Peaks: 9251 (about 2313 per sample)" /> + <has_text text="Peak Groups: 8372" /> + <has_text text="Sample classes: KO, WT" /> + </assert_stdout> + <output name="variableMetadata" file="faahKO.xset.group.variableMetadata.tsv" /> + <output name="dataMatrix" file="faahKO.xset.group.dataMatrix.tsv" /> </test>--> + <!-- DISABLE FOR TRAVIS <test> - <param name="image" value="faahKO.xset.RData"/> - <param name="methods|method" value="density"/> - <param name="methods|bw" value="5"/> - <param name="methods|minfrac" value="0.3"/> - <param name="methods|mzwid" value="0.01"/> - <param name="methods|density_options|option" value="show"/> - <param name="methods|density_options|max" value="50"/> + <param name="image" value="faahKO-single.xset.merged.RData" ftype="rdata"/> + <conditional name="methods"> + <param name="method" value="PeakDensity"/> + <param name="bw" value="5"/> + <param name="minFraction" value="0.3"/> + <param name="binSize" value="0.01"/> + <conditional name="density_options"> + <param name="option" value="show"/> + <param name="maxFeatures" value="50"/> + </conditional> + </conditional> + <expand macro="test_file_load_single"/> + <assert_stdout> + <has_text text="object with 4 samples" /> + <has_text text="Time range: 2506.1-4477.9 seconds (41.8-74.6 minutes)" /> + <has_text text="Mass range: 200.1-600 m/z" /> + <has_text text="Peaks: 9251 (about 2313 per sample)" /> + <has_text text="Peak Groups: 611" /> + <has_text text="Sample classes: ." /> + </assert_stdout> + </test> + --> + <!-- DISABLE FOR TRAVIS Zip from xcmsSet + <test> + <param name="image" value="faahKO.xset.RData" ftype="rdata"/> + <conditional name="methods"> + <param name="method" value="PeakDensity"/> + <param name="bw" value="5"/> + <param name="minFraction" value="0.3"/> + <param name="binSize" value="0.01"/> + <conditional name="density_options"> + <param name="option" value="show"/> + <param name="maxFeatures" value="50"/> + </conditional> + </conditional> <conditional name="peaklist"> <param name="convertRTMinute" value="false" /> <param name="peaklistBool" value="true" /> <param name="numDigitsMZ" value="4" /> <param name="numDigitsRT" value="1" /> + <param name="naTOzero" value="false" /> </conditional> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 2506.1-4477.9 seconds (41.8-74.6 minutes)" /> - <has_text text="Mass range: 200.1-600 m/z" /> - <has_text text="Peaks: 9251 (about 2313 per sample)" /> - <has_text text="Peak Groups: 8275" /> - <has_text text="Sample classes: KO, WT" /> - </assert_contents> - </output> - <output name="variableMetadata" file="faahKO.xset.group.variableMetadata.tsv" /> - <output name="dataMatrix" file="faahKO.xset.group.dataMatrix.tsv" /> - </test> - <test> - <param name="image" value="faahKO-single-class.xset.merged.RData"/> - <param name="methods|method" value="density"/> - <param name="methods|bw" value="5"/> - <param name="methods|minfrac" value="0.3"/> - <param name="methods|mzwid" value="0.01"/> - <param name="methods|density_options|option" value="show"/> - <param name="methods|density_options|max" value="50"/> - <conditional name="peaklist"> - <param name="convertRTMinute" value="false" /> - <param name="peaklistBool" value="true" /> - <param name="numDigitsMZ" value="4" /> - <param name="numDigitsRT" value="1" /> - </conditional> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 2506.1-4477.9 seconds (41.8-74.6 minutes)" /> - <has_text text="Mass range: 200.1-600 m/z" /> - <has_text text="Peaks: 9251 (about 2313 per sample)" /> - <has_text text="Peak Groups: 8275" /> - <has_text text="Sample classes: KO, WT" /> - </assert_contents> - </output> + <expand macro="test_file_load_zip"/> + <assert_stdout> + <has_text text="object with 4 samples" /> + <has_text text="Time range: 2506.1-4477.9 seconds (41.8-74.6 minutes)" /> + <has_text text="Mass range: 200.1-600 m/z" /> + <has_text text="Peaks: 9251 (about 2313 per sample)" /> + <has_text text="Peak Groups: 8372" /> + <has_text text="Sample classes: KO, WT" /> + </assert_stdout> <output name="variableMetadata" file="faahKO.xset.group.variableMetadata.tsv" /> <output name="dataMatrix" file="faahKO.xset.group.dataMatrix.tsv" /> </test> + --> + + <!-- DISABLE FOR TRAVIS Zip from retcor <test> - <param name="image" value="faahKO-single.xset.merged.RData"/> - <param name="methods|method" value="density"/> - <param name="methods|bw" value="5"/> - <param name="methods|minfrac" value="0.3"/> - <param name="methods|mzwid" value="0.01"/> - <param name="methods|density_options|option" value="show"/> - <param name="methods|density_options|max" value="50"/> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 2506.1-4477.9 seconds (41.8-74.6 minutes)" /> - <has_text text="Mass range: 200.1-600 m/z" /> - <has_text text="Peaks: 9251 (about 2313 per sample)" /> - <has_text text="Peak Groups: 664" /> - <has_text text="Sample classes: ." /> - </assert_contents> - </output> + <param name="image" value="faahKO.xset.group.retcor.RData" ftype="rdata"/> + <conditional name="methods"> + <param name="method" value="PeakDensity"/> + <param name="bw" value="5"/> + <param name="minFraction" value="0.3"/> + <param name="binSize" value="0.01"/> + <conditional name="density_options"> + <param name="option" value="show"/> + <param name="maxFeatures" value="50"/> + </conditional> + </conditional> + <expand macro="test_file_load_zip"/> + <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: 9251 (about 2313 per sample)" /> + <has_text text="Peak Groups: 8209" /> + <has_text text="Sample classes: KO, WT" /> + </assert_stdout> + </test> + --> + <!-- from retcor --> + <test> + <param name="image" value="faahKO-single.xset.merged.group.retcor.RData" ftype="rdata"/> + <conditional name="methods"> + <param name="method" value="PeakDensity"/> + <param name="bw" value="5"/> + <param name="minFraction" value="0.3"/> + <param name="binSize" value="0.01"/> + <section name="PeakDensityAdv"> + <param name="maxFeatures" value="50"/> + </section> + </conditional> + <expand macro="test_file_load_single"/> + <assert_stdout> + <has_text text="bw: 5" /> + <has_text text="minFraction: 0.3" /> + <has_text text="binSize: 0.01"/> + <has_text text="maxFeatures: 50" /> + <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: 9251 (about 2313 per sample)" /> + <has_text text="Peak Groups: 8209" /> + <has_text text="Sample classes: KO, WT" /> + </assert_stdout> + </test> + <!-- DISABLE FOR TRAVIS + Test to test the different methods parameters + <test expect_failure="True"> + <param name="image" value="faahKO-single.xset.merged.group.retcor.RData" ftype="rdata"/> + <conditional name="methods"> + <param name="method" value="MzClust"/> + <param name="ppm" value="21"/> + <param name="absMz" value="0.1"/> + </conditional> + <expand macro="test_file_load_single"/> + <assert_stdout> + <has_text text="ppm: 21" /> + <has_text text="absMz: 0.1" /> + </assert_stdout> </test> <test> - <param name="image" value="MM-single.xset.merged.RData"/> - <param name="methods|method" value="density"/> - <param name="methods|bw" value="5"/> - <param name="methods|minfrac" value="0.3"/> - <param name="methods|mzwid" value="0.01"/> - <param name="methods|density_options|option" value="show"/> - <param name="methods|density_options|max" value="50"/> - <output name="log"> - <assert_contents> - <has_text text="object with 2 samples" /> - <has_text text="Time range: 19.7-307.3 seconds (0.3-5.1 minutes)" /> - <has_text text="Mass range: 117.0357-936.7059 m/z" /> - <has_text text="Peaks: 236 (about 118 per sample)" /> - <has_text text="Peak Groups: 236" /> - <has_text text="Sample classes: ." /> - </assert_contents> - </output> + <param name="image" value="faahKO-single.xset.merged.group.retcor.RData" ftype="rdata"/> + <conditional name="methods"> + <param name="method" value="NearestPeaks"/> + <param name="mzVsRtBalance" value="11"/> + <param name="absMz" value="0.1"/> + </conditional> + <expand macro="test_file_load_single"/> + <assert_stdout> + <has_text text="mzVsRtBalance: 11" /> + <has_text text="absMz: 0.1" /> + </assert_stdout> </test> - <!--<test> - <param name="image" value="xset.group.retcor.RData"/> - <param name="methods|method" value="density"/> - <param name="methods|bw" value="5"/> - <param name="methods|minfrac" value="0.3"/> - <param name="methods|mzwid" value="0.01"/> - <param name="methods|density_options|option" value="show"/> - <param name="methods|density_options|max" value="50"/> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 0.2-1140.1 seconds (0-19 minutes)" /> - <has_text text="Mass range: 50.0021-999.9863 m/z" /> - <has_text text="Peaks: 59359 (about 14840 per sample)" /> - <has_text text="Peak Groups: 48958" /> - <has_text text="Sample classes: bio, blank" /> - </assert_contents> - </output> - </test>--> - <test> - <param name="image" value="faahKO.xset.group.retcor.RData"/> - <param name="methods|method" value="density"/> - <param name="methods|bw" value="5"/> - <param name="methods|minfrac" value="0.3"/> - <param name="methods|mzwid" value="0.01"/> - <param name="methods|density_options|option" value="show"/> - <param name="methods|density_options|max" value="50"/> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 2507.7-4481.7 seconds (41.8-74.7 minutes)" /> - <has_text text="Mass range: 200.1-600 m/z" /> - <has_text text="Peaks: 9251 (about 2313 per sample)" /> - <has_text text="Peak Groups: 8157" /> - <has_text text="Sample classes: KO, WT" /> - </assert_contents> - </output> - </test> - <test> - <param name="image" value="faahKO-single.xset.merged.group.retcor.RData"/> - <param name="methods|method" value="density"/> - <param name="methods|bw" value="5"/> - <param name="methods|minfrac" value="0.3"/> - <param name="methods|mzwid" value="0.01"/> - <param name="methods|density_options|option" value="show"/> - <param name="methods|density_options|max" value="50"/> - <output name="log"> - <assert_contents> - <has_text text="object with 4 samples" /> - <has_text text="Time range: 2507.7-4481.7 seconds (41.8-74.7 minutes)" /> - <has_text text="Mass range: 200.1-600 m/z" /> - <has_text text="Peaks: 9251 (about 2313 per sample)" /> - <has_text text="Peak Groups: 8157" /> - <has_text text="Sample classes: KO, WT" /> - </assert_contents> - </output> - </test> + --> </tests> <help><![CDATA[ @HELP_AUTHORS@ -========== -Xcms.Group -========== +==================== +xcms groupChromPeaks +==================== ----------- Description @@ -288,54 +272,38 @@ After peak identification with xcmsSet, this tool groups the peaks which represent the same analyte across samples using overlapping m/z bins and calculation of smoothed peak distributions in chromatographic time. Allows rejection of features, which are only partially detected within the replicates of a sample class. - - ----------------- Workflow position ----------------- **Upstream tools** -========================= ================= =================== ========== -Name output file format parameter -========================= ================= =================== ========== -xcms.xcmsSet xset.RData rdata.xcms.raw RData file -------------------------- ----------------- ------------------- ---------- -xcms.xcmsSet Merger xset.RData rdata.xcms.raw RData file -------------------------- ----------------- ------------------- ---------- -xcms.retcor xset.RData rdata.xcms.retcor RData file -========================= ================= =================== ========== +==================================== ======================== ============================== +Name Output file Format +==================================== ======================== ============================== +xcms.findChromPeaks Merger (single) xset.merged.RData rdata.xcms.findchrompeaks +------------------------------------ ------------------------ ------------------------------ +xcms.findChromPeaks (zip) ``*``.raw.xset.RData rdata.xcms.findchrompeaks +------------------------------------ ------------------------ ------------------------------ +xcms.adjustRtime ``*``.adjustRtime.RData rdata.xcms.retcor +==================================== ======================== ============================== **Downstream tools** -+---------------------------+--------------------------------------+ -| Name | Output file | Format | -+===========================+=================+====================+ -|xcms.retcor | xset.RData | rdata.xcms.group | -+---------------------------+--------------------------------------+ -|xcms.fillPeaks | xset.RData | rdata.xcms.group | -+---------------------------+--------------------------------------+ - -The output file is an xcmsSet.RData file. You can continue your analysis using it in **xcms.retcor** tool as an next step and then **xcms.fillPeaks**. +=========================== =========================== ==================== +Name Output file Format +=========================== =========================== ==================== +xcms.adjustRtime ``*``.groupChromPeaks.RData rdata.xcms.group +--------------------------- --------------------------- -------------------- +xcms.fillChromPeaks ``*``.groupChromPeaks.RData rdata.xcms.group +=========================== =========================== ==================== **General schema of the metabolomic workflow** .. image:: xcms_group_workflow.png - ------------ -Input files ------------ - -+---------------------------+-----------------------+ -| Parameter : num + label | Format | -+===========================+=======================+ -| Or : RData file | rdata.xcms.raw | -+---------------------------+-----------------------+ -| Or : RData file | rdata.xcms.retcor | -+---------------------------+-----------------------+ - +--------------------------------------------------- ---------- Parameters @@ -344,69 +312,42 @@ Method to use for grouping -------------------------- -**mzClust** +**MzClust** + + | This method performs high resolution correspondence for single spectra samples. + | See the MzClust_manual_ - | Runs high resolution alignment on single spectra samples stored in the RData file generated by the **xcmsSet tool**. +**PeakDensity** -**density** + | This method performs performs correspondence (chromatographic peak grouping) based on the density (distribution) of identified peaks along the retention time axis within slices of overlapping mz ranges. All peaks (from the same or from different samples) being close on the retention time axis are grouped into a feature (peak group). + | See the PeakDensity_manual_ - | Groups peaks together across samples using overlapping m/z bins and calculation of smoothed peak distributions in chromatographic time. +**NearestPeaks** + + | This method is inspired by the grouping algorithm of mzMine [Katajamaa 2006] and performs correspondence based on proximity of peaks in the space spanned by retention time and mz values. The method creates first a master peak list consisting of all chromatographic peaks from the sample in which most peaks were identified, and starting from that, calculates distances to peaks from the sample with the next most number of peaks. If peaks are closer than the defined threshold they are grouped together. + | See the NearestPeaks_manual_ -**nearest** +.. _MzClust_manual: https://rdrr.io/bioc/xcms/man/groupChromPeaks-mzClust.html#heading-2 +.. _PeakDensity_manual: https://rdrr.io/bioc/xcms/man/groupChromPeaks-density.html#heading-2 +.. _NearestPeaks_manual: https://rdrr.io/bioc/xcms/man/groupChromPeaks-nearest.html#heading-2 - | Groups peaks together across samples by creating a master peak list and assigning corresponding peaks from all samples. It is inspired by the alignment algorithm of mzMine. +@HELP_XCMS_MANUAL@ +@HELP_PEAKLIST@ ------------ Output files ------------ -xset.group.Rplots.pdf - -xset.group.RData: rdata.xcms.group format - - | Rdata file that will be necessary in the third and fourth step of the workflow (xcms.retcor and xcms.fillpeaks). - - ------- +xset.groupChromPeaks.RData: rdata.xcms.group format -.. class:: infomark - -The output file is an xset.group.RData file. You can continue your analysis using it in **xcms.retcor** tool. - - ---------------------------------------------------- - - ---------------- -Working example ---------------- + | RData file that will be necessary in the third and fourth step of the workflow (xcms.adjustRtime and xcms.fillChromPeaks). -Input files ------------ - - | RData file -> **xset.RData** - -Parameters ----------- +xset.groupChromPeaks.plotChromPeakDensity.pdf - | Method -> **density** - | bw -> **5** - | minfrac -> **0.3** - | mzwid -> **0.01** - | Advanced options: **show** - | max -> **50** - + | Density plot -Output files ------------- - - | **1) xset.RData: RData file** - - | **2) Example of an xset.group.Rplots pdf file** - -.. image:: xcms_group.png - :width: 700 +@HELP_PEAKLIST_OUTPUT@ --------------------------------------------------- @@ -414,10 +355,22 @@ 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. + +- NEW: a bunch of new options: PeakDensity.minSamples), MzClust.minSamples) + +- NEW: a new density plot + +- IMPROVEMENT: the advanced options are now in sections. It will allow you to access to all the parameters and to know their default values. + + **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: Add an option to export the peak list at this step without have to wait camara.annotate @@ -426,10 +379,12 @@ - BUGFIX: the default value of "density" -> "Maximum number of groups to identify in a single m/z slice" which was of 5 have been changed to fix with the XMCS default values to 50 + **Version 2.0.6 - 06/07/2016** - UPGRADE: upgrate the xcms version from 1.44.0 to 1.46.0 + **Version 2.0.5 - 04/04/2016** - TEST: refactoring to pass planemo test using conda dependencies
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/lib-xcms3.x.x.r Tue Sep 18 16:11:06 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 09:46:03 2017 -0500 +++ b/lib.r Tue Sep 18 16:11:06 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 09:46:03 2017 -0500 +++ b/macros.xml Tue Sep 18 16:11:06 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 16:11:06 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>
--- a/test-data/faahKO.xset.group.dataMatrix.tsv Wed Nov 29 09:46:03 2017 -0500 +++ b/test-data/faahKO.xset.group.dataMatrix.tsv Tue Sep 18 16:11:06 2018 -0400 @@ -1,62 +1,62 @@ name ko15 ko16 wt15 wt16 M200T2877 NA 506848.884266667 NA NA -M200T3874 1144.01499999999 NA NA NA +M200T3188 NA 4333.4849999999 NA NA M200T3483 6029.94499999992 NA NA NA -M200T3188 NA 4333.4849999999 NA NA +M200T3874 1144.01499999999 NA NA NA +M200T3672 NA NA 5108.15999999988 NA M200T3523 NA NA 4586.52650000006 NA -M200T3672 NA NA 5108.15999999988 NA M200T3980 NA NA NA 1242.61000000004 M200T3811 NA NA 1018.81499999998 NA M201T3548 NA 2863.6449999999 NA NA +M201T3778 NA NA 1680.81000000006 NA M201T4055 NA NA 1339.64000000005 NA -M201T3778 NA NA 1680.81000000006 NA M201T3270 NA NA 4090.91000000014 NA +M201T2559 NA 14307.2299999999 NA NA M201T3630 NA NA NA 2931.24499999993 -M201T2559 NA 14307.2299999999 NA NA M201T3141 NA 254581.758476187 NA NA -M201T3506 4023.61499999999 NA NA NA +M201T3991 NA NA 1657.33500000006 NA M201T3683 NA NA 2906.20499999993 NA +M201T3802 NA NA NA 3245.80999999992 +M201T3506 4023.61499999999 NA NA NA M201T4059 NA NA 1275.47500000004 NA -M201T3802 NA NA NA 3245.80999999992 -M201T3991 NA NA 1657.33500000006 NA M201T3885 NA 1220.70000000004 NA NA -M201T4157 NA 774.575999999962 NA NA +M201T4040 NA NA NA 1220.69999999998 M201T3930 NA NA 1284.72816666668 NA -M201T4040 NA NA NA 1220.69999999998 +M201T4157 NA 774.575999999962 NA NA M202T4013 NA NA 831.015000000029 NA M202T3852 892.050000000031 NA NA NA M202T3298 2759.095 NA NA NA M202T3285 NA 3872.96250000005 NA NA M202T3318 3588.54500000001 NA NA NA +M202T3170 7682.58500000004 NA NA NA M202T4062 NA NA 754.233600000007 NA M202T3758 NA NA 1151.71733333335 NA -M202T3170 7682.58500000004 NA NA NA M202T3375 9879.84499999977 NA NA NA +M202T4035 NA 688.600000000024 NA NA M202T3897 NA 841.96999999998 NA NA -M202T3267 77227.3769090911 NA NA NA M202T4145 NA NA NA 732.419999999983 -M202T4035 NA 688.600000000024 NA NA M202T3190 NA 3806.07999999999 NA NA +M202T3267 77227.3769090911 NA NA NA M202T4012 NA 1629.165 NA NA +M202T3936 NA NA 1461.71 NA M202T2896 36435.3079999996 NA NA NA -M202T3936 NA NA 1461.71 NA M202T3295 NA NA NA 3372.57500000002 M203T4041 NA NA NA 978.124999999977 M203T3320 NA NA NA 1136.19000000004 M203T3310 NA 1694.89499999996 NA NA M203T3972 NA NA 2796.65500000002 NA -M203T2683 NA NA NA 6346.07499999991 -M203T3725 NA NA NA 3345.96999999992 -M203T3325 3852.53759999981 NA NA NA +M203T4143 NA 1020.37999999998 NA NA M203T3353 NA 2974.74816666671 NA NA +M203T3794 NA 2690.23500000009 NA NA +M203T3725 NA NA NA 3345.96999999992 +M203T2683 NA NA NA 6346.07499999991 M203T4181 NA 804.409999999981 NA NA -M203T3794 NA 2690.23500000009 NA NA -M203T4143 NA 1020.37999999998 NA NA +M203T3325 3852.53759999981 NA NA NA M203T4060 NA NA NA 1550.91499999999 M204T3517 NA NA 967.169999999987 NA +M204T4132 NA NA NA 793.455000000074 M204T3059 3905.96266666662 NA NA NA M204T3661 3002.85120000003 NA NA NA -M204T4132 NA NA NA 793.455000000074 M204T4018 1111.14999999999 NA NA NA M204T3838 NA NA 1676.11500000006 NA M204T4146 NA NA NA 1089.24000000004 @@ -74,106 +74,107 @@ M205T3919 NA 3392.55866666671 NA NA M205T4057 NA NA 1198.79000000004 NA M206T4073 NA NA 793.454999999982 NA +M206T3345 NA NA 641.649999999985 NA M206T3295 NA NA NA 1023.50999999998 M206T3093 NA NA NA 4682.47999999989 -M206T3345 NA NA 641.649999999985 NA +M206T3196 NA 10174.0649999999 NA NA M206T4099 1685.41525000004 NA NA NA -M206T3196 NA 10174.0649999999 NA NA M206T2783 213659.293920001 NA 253825.557279999 241844.442068965 M206T3448 NA NA NA 3090.62812500006 -M206T3674 NA NA NA 2237.94999999995 +M206T2539 NA NA 9324.27000000002 NA +M206T3185 1931.20999999997 NA NA NA +M206T3433 NA NA NA 2558.77500000009 +M206T3551 NA NA 3048.62 NA +M206T3237 1713.67500000006 NA NA NA M206T3262 NA NA NA 3137.82499999993 M206T3699 NA NA NA 1953.12000000007 -M206T2539 NA NA 9324.27000000002 NA +M206T4052 NA NA NA 1505.46128571426 M206T3357 NA NA NA 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--- a/xcms.r Wed Nov 29 09:46:03 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_group.r Tue Sep 18 16:11:06 2018 -0400 @@ -0,0 +1,114 @@ +#!/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","RColorBrewer") +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 <- args$method + +if (!is.null(args$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.*") + +# 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\tPerform the correspondence\n") +args$sampleGroups = xdata$sample_group + +# 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(sampleGroups=c(1,2))))] + +groupChromPeaksParam <- do.call(paste0(method,"Param"), args) +print(groupChromPeaksParam) +xdata <- groupChromPeaks(xdata, param = groupChromPeaksParam) + + +cat("\t\tDRAW GRAPHICS\n") +getPlotChromPeakDensity(xdata) + +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="group.RData") + +cat("\n\n") + + +cat("\tDONE\n")