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author | sblanck |
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date | Thu, 11 May 2017 10:55:07 -0400 |
parents | 328f4031e5d3 |
children | c05f899d5dcd |
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<tool id="QCnormalization" name="QCnormalization" version="0.1.0"> <description>Quality control and normalization of affymetrix expression data</description> <requirements> <requirement type="package" version="0.1.0">r-smagexp</requirement> </requirements> <stdio> <exit_code range="1:" /> <regex match="Warning" source="both" level="warning"/> </stdio> <command> <![CDATA[ Rscript ${__tool_directory__}/AffyQCnormalization.R --input "#for $input in $inputs# $input;$input.name, #end for#" --normalization ${normalization} --rdataoutput $result_export_eset --htmloutput $result_html --htmloutputpath $result_html.files_path --htmltemplate ${__tool_directory__}/AffyQCnormalization_tpl.html ]]> </command> <inputs> <param name="inputs" type="data" format="cel" multiple="true" label=".CEL files" help=".CEL files to be used"/> <param name="normalization" type="select" label="Preprocessing/normalization"> <option value="rma">rma (backgroung correction + quantile normalization + log2)</option> <option value="quantile">quantile normalization + log2</option> <option value="background">background correction + log2</option> <option value="log2">log2 only</option> </param> </inputs> <outputs> <data format="rdata" name="result_export_eset" label="export normalized expressionSet"/> <data format="html" name="result_html" label="QC result"/> </outputs> <help> <![CDATA[ **What it does** The QCnormalization tool offers to ensure the quality of the data and to normalize them. Several normalization methods are available : * rma normalization * quantile normalization + log2 * background correction + log2 * log2 only **Results** - Several quality figures : microarray images, boxplots and MA plots - Rdata object containing the normalized data for further analysis ]]> </help> </tool>