Mercurial > repos > florianbegusch > qiime2_suite
view qiime2/qiime_diversity_alpha-group-significance.xml @ 0:370e0b6e9826 draft
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author | florianbegusch |
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date | Wed, 17 Jul 2019 03:05:17 -0400 |
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children | 51025741f326 |
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<?xml version="1.0" ?> <tool id="qiime_diversity_alpha-group-significance" name="qiime diversity alpha-group-significance" version="2019.4"> <description> - Alpha diversity comparisons</description> <requirements> <requirement type="package" version="2019.4">qiime2</requirement> </requirements> <command><![CDATA[ qiime diversity alpha-group-significance --i-alpha-diversity=$ialphadiversity #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 + ',' + d['additional_input'].__getattr__('file_name') #end for #return $file_list #end def --m-metadata-file=$list_dict_to_string($input_files_mmetadatafile) --o-visualization=ovisualization ; qiime tools export --input-path ovisualization.qzv --output-path out && mkdir -p '$ovisualization.files_path' && cp -r out/* '$ovisualization.files_path' && mv '$ovisualization.files_path/index.html' '$ovisualization'; ]]></command> <inputs> <param format="qza,no_unzip.zip" label="--i-alpha-diversity: ARTIFACT SampleData[AlphaDiversity] Vector of alpha diversity values by sample. [required]" name="ialphadiversity" optional="False" type="data"/> <repeat name="input_files_mmetadatafile" optional="True" title="--m-metadata-file"> <param label="--m-metadata-file: Metadata file or artifact viewable as metadata. This option may be supplied multiple times to merge metadata. [optional]" name="additional_input" type="data" format="tabular,qza,no_unzip.zip" /> </repeat> </inputs> <outputs> <data format="html" label="${tool.name} on ${on_string}: visualization.qzv" name="ovisualization"/> </outputs> <help><![CDATA[ Beta diversity group significance ################################# Determine whether groups of samples are significantly different from one another using a permutation-based statistical test. Parameters ---------- distance_matrix : DistanceMatrix Matrix of distances between pairs of samples. metadata : MetadataColumn[Categorical] Categorical sample metadata column. method : Str % Choices('permanova', 'anosim', 'permdisp'), optional The group significance test to be applied. pairwise : Bool, optional Perform pairwise tests between all pairs of groups in addition to the test across all groups. This can be very slow if there are a lot of groups in the metadata column. permutations : Int, optional The number of permutations to be run when computing p-values. Returns ------- visualization : Visualization ]]></help> <macros> <import>qiime_citation.xml</import> </macros> <expand macro="qiime_citation"/> </tool>