Mercurial > repos > sblanck > meta_ma
view CustomAnalyse.xml @ 0:27ffdb495852 draft default tip
Imported from capsule None
author | sblanck |
---|---|
date | Wed, 13 Apr 2016 07:40:02 -0400 |
parents | |
children |
line wrap: on
line source
<tool id="customAnalyse" name="CustomAnalyse" version="0.1.0"> <description>Custom Analyse</description> <requirements> <container type="docker">sblanck/testtool:latest</container> </requirements> <command> /galaxy-tools/stderr_wrapper.py Rscript /galaxy-tools/transcriptomics/CustomAnalyse/CustomAnalyse.R #for $input in $inputs "${input}" "${input.name}" #end for "${target}" "${selectCondition1}" "${selectCondition2}" $result_export_eset $result_export_conditions $result_html $result_html.files_path /galaxy-tools/transcriptomics/CustomAnalyse/CustomAnalyse_tpl.html </command> <inputs> <param name="inputs" type="data" format="cel" multiple="true" label=".CEL files" help=".CEL files to be used"/> <param name="target" type="data" format="txt" label="target file" help="target file associated with the .CEL file dataset"/> <!--param name="normalisation" type="select" label="Preprocessing/normalization"> <options> <option value="rma">rma</option> <option value="quantile">quantile normalization</option> <option value="log2">log2</option> <option value="none">none</option> </options> </param--> <param name="selectCondition1" type="select" display="checkboxes" label="Condition 1" multiple="true"> <options from_dataset="target"> <column name="name" index="0"/> <column name="value" index="0"/> </options> </param> <param name="selectCondition2" type="select" display="checkboxes" label="Condition 2" multiple="true"> <options from_dataset="target"> <column name="name" index="0"/> <column name="value" index="0"/> </options> </param> </inputs> <outputs> <data format="html" name="result_html" label="Annotations"/> <data format="rdata" name="result_export_eset" label="export expressionSet"/> <data format="cond" name="result_export_conditions" label="export conditions"/> </outputs> <help> NOTE: This wrapper performs p-value combination from multiples studies with the same probes. If you need to normalize your data, use "matrix_normalisation" tool on each file. Then, use "Merge Standard datasets(copied)" tool to make a multiple file dataset. </help> </tool>