<?xml version="1.0" ?>
<tool id="qiime_diversity_pcoa-biplot" name="qiime diversity pcoa-biplot"
      version="2020.8">
  <description>Principal Coordinate Analysis Biplot</description>
  <requirements>
    <requirement type="package" version="2020.8">qiime2</requirement>
  </requirements>
  <command><![CDATA[
qiime diversity pcoa-biplot

--i-pcoa=$ipcoa

--i-features=$ifeatures

--o-biplot=obiplot

#if str($examples) != 'None':
--examples=$examples
#end if

;
cp obiplot.qza $obiplot

  ]]></command>
  <inputs>
    <param format="qza,no_unzip.zip" label="--i-pcoa: ARTIFACT      The PCoA where the features will be projected onto. PCoAResults                                                     [required]" name="ipcoa" optional="False" type="data" />
    <param format="qza,no_unzip.zip" label="--i-features: ARTIFACT FeatureTable[RelativeFrequency] Variables to project onto the PCoA matrix  [required]" name="ifeatures" optional="False" type="data" />
    <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" />
    
  </inputs>

  <outputs>
    <data format="qza" label="${tool.name} on ${on_string}: biplot.qza" name="obiplot" />
    
  </outputs>

  <help><![CDATA[
Principal Coordinate Analysis Biplot
###############################################################

Project features into a principal coordinates matrix. The features used
should be the features used to compute the distance matrix. It is
recommended that these variables be normalized in cases of dimensionally
heterogeneous physical variables.

Parameters
----------
pcoa : PCoAResults
    The PCoA where the features will be projected onto.
features : FeatureTable[RelativeFrequency]
    Variables to project onto the PCoA matrix

Returns
-------
biplot : PCoAResults % Properties('biplot')
    The resulting PCoA matrix.
  ]]></help>
  <macros>
    <import>qiime_citation.xml</import>
  </macros>
  <expand macro="qiime_citation"/>
</tool>