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planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit 9bf9a6e46a330890be932f60d1d996dd166426c4
author | ebi-gxa |
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date | Wed, 03 Apr 2019 11:32:26 -0400 |
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<?xml version="1.0" encoding="utf-8"?> <tool id="sc3_calc_biology" name="SC3 DiffExp" version="@TOOL_VERSION@+galaxy1"> <description>calculates DE genes, marker genes and cell outliers</description> <macros> <import>sc3-macros.xml</import> </macros> <expand macro="requirements" /> <command detect_errors="exit_code"><![CDATA[ sc3-sc3-calc-biology.R -i '${sc3_consensus}' -o '${sc3_biology_markers}' -t '${sc3_biology_markers_tsv}' -k '${ks}' -r '${regime}' ]]></command> <inputs> <param name="sc3_consensus" type="data" format="rdata" label="Serialised sc3 SingleCellExperiment object with stored consensus kmeans clustering"/> <param name="ks" argument="--ks" type="text" label="An integer or comma-separated list of integers"> <validator type="regex" message="Please only enter integers or comma-separated list of integers">^[0-9]+(,[0-9]+)*$</validator> </param> <param name="regime" argument="--regime" type="select" label="Biological analysis to perform"> <option value="marker" selected="true">Marker gene identification</option> <option value="de">Differential expression</option> <option value="outl">Outlier identification</option> </param> </inputs> <outputs> <data name="sc3_biology_markers" format="rdata" label="${tool.name} on ${on_string}: serialised sc3 SingleCellExperiment storing the DE markers"/> <data name="sc3_biology_markers_tsv" format="tsv" label="${tool.name} on ${on_string}: tsv table storing the DE markers"/> </outputs> <tests> <test> <param name="sc3_consensus" value="sc3_consensus.rds"/> <param name="ks" value="7,8"/> <param name="regime" value="marker"/> <output name="sc3_biology_markers" file="sc3_bio_sce.rds"/> <output name="sc3_biology_markers_tsv" file="sc3_biology_markers.tsv"/> </test> </tests> <help><![CDATA[ ======================================================== This function performs differential expression analysis. ======================================================== Calculate differentially expressed (DE) genes, marker genes and cell outliers based on the consensus SC3 clusterings. @HELP@ @VERSION_HISTORY@ ]]></help> <expand macro="citations" /> </tool>