comparison qiime2-2020.8/qiime_vsearch_uchime-denovo.xml @ 20:d93d8888f0b0 draft

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<?xml version="1.0" ?>
<tool id="qiime_vsearch_uchime-denovo" name="qiime vsearch uchime-denovo"
      version="2020.8">
  <description>De novo chimera filtering with vsearch.</description>
  <requirements>
    <requirement type="package" version="2020.8">qiime2</requirement>
  </requirements>
  <command><![CDATA[
qiime vsearch uchime-denovo

--i-sequences=$isequences

--i-table=$itable

--p-dn=$pdn

--p-mindiffs=$pmindiffs

--p-mindiv=$pmindiv

--p-minh=$pminh

--p-xn=$pxn

--o-chimeras=ochimeras

--o-nonchimeras=ononchimeras

--o-stats=ostats

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

;
cp ostats.qza $ostats

  ]]></command>
  <inputs>
    <param format="qza,no_unzip.zip" label="--i-sequences: ARTIFACT FeatureData[Sequence] The feature sequences to be chimera-checked. [required]" name="isequences" optional="False" type="data" />
    <param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] Feature table (used for computing total feature abundances).                              [required]" name="itable" optional="False" type="data" />
    <param label="--p-dn: NUMBER           No vote pseudo-count, corresponding to the Range(0.0, None)      parameter n in the chimera scoring function. [default: 1.4]" min="0.0" name="pdn" optional="True" type="float" value="1.4" />
    <param label="--p-mindiffs: INTEGER    Minimum number of differences per segment. Range(1, None)                                                [default: 3]" min="1" name="pmindiffs" optional="True" type="integer" value="3" />
    <param label="--p-mindiv: NUMBER       Minimum divergence from closest parent. Range(0.0, None)                                            [default: 0.8]" min="0.0" name="pmindiv" optional="True" type="float" value="0.8" />
    <param exclude_max="False" label="--p-minh: PROPORTION Range(0.0, 1.0, inclusive_end=True) Minimum score (h). Increasing this value tends to reduce the number of false positives and to decrease sensitivity.                         [default: 0.28]" max="1.0" min="0.0" name="pminh" optional="True" type="float" value="0.28" />
    <param exclude_min="True" label="--p-xn: NUMBER Range(1.0, None, inclusive_start=False) No vote weight, corresponding to the parameter beta in the scoring function.              [default: 8.0]" max="None" min="1.0" name="pxn" optional="True" type="float" value="8.0" />
    <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" />
    
  </inputs>

  <outputs>
    <data format="qza" label="${tool.name} on ${on_string}: chimeras.qza" name="ochimeras" />
    <data format="qza" label="${tool.name} on ${on_string}: nonchimeras.qza" name="ononchimeras" />
    <data format="qza" label="${tool.name} on ${on_string}: stats.qza" name="ostats" />
    
  </outputs>

  <help><![CDATA[
De novo chimera filtering with vsearch.
###############################################################

Apply the vsearch uchime_denovo method to identify chimeric feature
sequences. The results of this method can be used to filter chimeric
features from the corresponding feature table. For additional details,
please refer to the vsearch documentation.

Parameters
----------
sequences : FeatureData[Sequence]
    The feature sequences to be chimera-checked.
table : FeatureTable[Frequency]
    Feature table (used for computing total feature abundances).
dn : Float % Range(0.0, None), optional
    No vote pseudo-count, corresponding to the parameter n in the chimera
    scoring function.
mindiffs : Int % Range(1, None), optional
    Minimum number of differences per segment.
mindiv : Float % Range(0.0, None), optional
    Minimum divergence from closest parent.
minh : Float % Range(0.0, 1.0, inclusive_end=True), optional
    Minimum score (h). Increasing this value tends to reduce the number of
    false positives and to decrease sensitivity.
xn : Float % Range(1.0, None, inclusive_start=False), optional
    No vote weight, corresponding to the parameter beta in the scoring
    function.

Returns
-------
chimeras : FeatureData[Sequence]
    The chimeric sequences.
nonchimeras : FeatureData[Sequence]
    The non-chimeric sequences.
stats : UchimeStats
    Summary statistics from chimera checking.
  ]]></help>
  <macros>
    <import>qiime_citation.xml</import>
  </macros>
  <expand macro="qiime_citation"/>
</tool>