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author | florianbegusch |
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date | Thu, 03 Sep 2020 09:44:28 +0000 |
parents | f190567fe3f6 |
children | a0a8d77a991c |
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<?xml version="1.0" ?> <tool id="qiime_diversity_beta-group-significance" name="qiime diversity beta-group-significance" version="2019.7"> <description> - Beta diversity group significance</description> <requirements> <requirement type="package" version="2019.7">qiime2</requirement> </requirements> <command><![CDATA[ qiime diversity beta-group-significance --i-distance-matrix=$idistancematrix --m-metadata-column="$mmetadatacolumn" #if $metadatafile: --m-metadata-file=$metadatafile #end if #if str($pmethod) != 'None': --p-method=$pmethod #end if #if $ppairwise: --p-pairwise #end if #if str($ppermutations): --p-permutations=$ppermutations #end if --o-visualization=ovisualization ; qiime tools export --input-path ovisualization.qzv --output-path out && mkdir -p '$ovisualization.files_path' && cp -r out/* '$ovisualization.files_path' && mv '$ovisualization.files_path/index.html' '$ovisualization' ]]></command> <inputs> <param format="qza,no_unzip.zip" label="--i-distance-matrix: ARTIFACT DistanceMatrix Matrix of distances between pairs of samples. [required]" name="idistancematrix" optional="False" type="data"/> <param label="--m-metadata-column: COLUMN MetadataColumn[Categorical] Categorical sample metadata column. [required]" name="mmetadatacolumn" optional="False" type="text"/> <param label="--p-method: " name="pmethod" optional="True" type="select"> <option selected="True" value="None">Selection is Optional</option> <option value="permanova">permanova</option> <option value="anosim">anosim</option> <option value="permdisp">permdisp</option> </param> <param label="--p-pairwise: --p-no-pairwise Perform pairwise tests between all pairs of groups in addition to the test across all groups. This can be very slow if there are a lot of groups in the metadata column. [default: False]" name="ppairwise" selected="False" type="boolean"/> <param label="--p-permutations: INTEGER The number of permutations to be run when computing p-values. [default: 999]" name="ppermutations" optional="True" type="integer" value="999"/> <param label="--m-metadata-file METADATA [required]" name="metadatafile" type="data" format="tabular,qza,no_unzip.zip" optional="False" /> </inputs> <outputs> <data format="html" label="${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>