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Commit message:
planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/msstats commit 86de2cd327423c44d042f98108dc93a8f83982d0 |
modified:
msstats.xml |
b |
diff -r 28434abe6c5c -r b7034eff0db1 msstats.xml --- a/msstats.xml Fri Aug 06 20:06:19 2021 +0000 +++ b/msstats.xml Tue Jan 31 18:14:55 2023 +0000 |
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@@ -1,7 +1,8 @@ -<tool id="msstats" name="MSstats" version="@VERSION@.0"> +<tool id="msstats" name="MSstats" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@"> <description>statistical relative protein significance analysis in DDA, SRM and DIA Mass Spectrometry</description> <macros> - <token name="@VERSION@">4.0.0</token> + <token name="@TOOL_VERSION@">4.0.0</token> + <token name="@VERSION_SUFFIX@">1</token> <xml name="useUniquePeptide"> <param name="useUniquePeptide" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="true" label="Remove peptides that are assigned for more than one proteins"/> </xml> @@ -23,7 +24,7 @@ </macros> <requirements> - <requirement type="package" version="@VERSION@">bioconductor-msstats</requirement> + <requirement type="package" version="@TOOL_VERSION@">bioconductor-msstats</requirement> </requirements> <command detect_errors="exit_code"><![CDATA[ cat '$msstats_script' > '$r_script' && @@ -1013,7 +1014,7 @@ <help><![CDATA[ MSstats is an open-source R package for statistical relative quantification of proteins and peptides in global, targeted and data-independent proteomics. `More information on MSstats <http://msstats.org/>`_ -The MSstats Galaxy tool (version @VERSION@) allows the detection of differentially abundant proteins for label-free MS experiments with complex designs on data derived from open-source proteomics software available in Galaxy (e.g. MaxQuant, OpenMS, OpenSWATH). Processing functionalities such as log transformation, normalization, feature selection, missing value imputation and quantification are available as well. +The MSstats Galaxy tool (version @TOOL_VERSION@) allows the detection of differentially abundant proteins for label-free MS experiments with complex designs on data derived from open-source proteomics software available in Galaxy (e.g. MaxQuant, OpenMS, OpenSWATH). Processing functionalities such as log transformation, normalization, feature selection, missing value imputation and quantification are available as well. ----- @@ -1229,6 +1230,7 @@ ]]></help> <citations> <citation type="doi">10.1093/bioinformatics/btu305</citation> + <citation type="doi">10.1021/acs.jproteome.2c00051</citation> </citations> </tool> |