Mercurial > repos > florianbegusch > qiime2_suite
view qiime2/qiime_diversity_bioenv.xml @ 9:f190567fe3f6 draft
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author | florianbegusch |
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date | Wed, 14 Aug 2019 15:12:48 -0400 |
parents | 914fa4daf16a |
children | a0a8d77a991c |
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<?xml version="1.0" ?> <tool id="qiime_diversity_bioenv" name="qiime diversity bioenv" version="2019.7"> <description> - bioenv</description> <requirements> <requirement type="package" version="2019.7">qiime2</requirement> </requirements> <command><![CDATA[ qiime diversity bioenv --i-distance-matrix=$idistancematrix #if $input_files_mmetadatafile: #def list_dict_to_string(list_dict): #set $file_list = list_dict[0]['additional_input'].__getattr__('file_name') #for d in list_dict[1:]: #set $file_list = $file_list + ' --m-metadata-file=' + d['additional_input'].__getattr__('file_name') #end for #return $file_list #end def --m-metadata-file=$list_dict_to_string($input_files_mmetadatafile) #end if --o-visualization=ovisualization ; qiime tools export --input-path ovisualization.qzv --output-path out && mkdir -p '$ovisualization.files_path' && cp -r out/* '$ovisualization.files_path' && mv '$ovisualization.files_path/index.html' '$ovisualization'; ]]></command> <inputs> <param format="qza,no_unzip.zip" label="--i-distance-matrix: ARTIFACT DistanceMatrix Matrix of distances between pairs of samples. [required]" name="idistancematrix" optional="False" type="data"/> <repeat name="input_files_mmetadatafile" optional="True" title="--m-metadata-file [required]"> <param label="--m-metadata-file: Metadata file or artifact viewable as metadata. This option may be supplied multiple times to merge metadata. [optional]" name="additional_input" type="data" format="tabular,qza,no_unzip.zip" /> </repeat> </inputs> <outputs> <data format="html" label="${tool.name} on ${on_string}: visualization.qzv" name="ovisualization"/> </outputs> <help><![CDATA[ bioenv ###### Find the subsets of variables in metadata whose Euclidean distances are maximally rank-correlated with distance matrix. All numeric variables in metadata will be considered, and samples which are missing data will be dropped. The output visualization will indicate how many samples were dropped due to missing data, if any were dropped. Parameters ---------- distance_matrix : DistanceMatrix Matrix of distances between pairs of samples. metadata : Metadata The sample metadata. Returns ------- visualization : Visualization ]]></help> <macros> <import>qiime_citation.xml</import> </macros> <expand macro="qiime_citation"/> </tool>