Mercurial > repos > iuc > mothur_libshuff
view libshuff.xml @ 5:eefbe872fd04 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/mothur commit 7f7605c2c8d8e92f3369dfdc290e5d8d06fa409a
author | iuc |
---|---|
date | Fri, 03 Aug 2018 14:26:19 -0400 |
parents | ffe8649e5434 |
children | 1e4687170395 |
line wrap: on
line source
<tool profile="16.07" id="mothur_libshuff" name="Libshuff" version="@WRAPPER_VERSION@.0"> <description>Cramer-von Mises tests communities for the same structure</description> <macros> <import>macros.xml</import> </macros> <expand macro="requirements"/> <expand macro="stdio"/> <expand macro="version_command"/> <command><![CDATA[ @SHELL_OPTIONS@ ## create symlinks to input datasets ln -s '$dist' dist.dat && ln -s '$group' group.dat && echo 'libshuff( phylip=dist.dat, group=group.dat, #if $groups: groups=${ str($groups).replace(",","-") }, #end if sim=$sim, #if $form.form2 == "discrete": step=$form.step, #if $form.cutoff: cutoff=$form.cutoff, #end if #end if iters=$iters )' | sed 's/ //g' ## mothur trips over whitespace | mothur | tee mothur.out.log ]]></command> <inputs> <param name="dist" type="data" format="mothur.lower.dist,mothur.square.dist" label="phylip - Distance Matrix"/> <param name="group" type="data" format="mothur.groups" label="group - Groups"/> <param name="groups" type="select" multiple="true" label="groups - Groups to condider"> <options> <filter type="data_meta" ref="group" key="groups"/> </options> </param> <param name="iters" type="integer" value="10000" label="iters - Number of iterations to try (default 10000)"/> <param name="sim" type="boolean" checked="false" truevalue="true" falsevalue="false" label="sim - Matrix values are Similary instead of Distance"/> <conditional name="form"> <param name="form2" type="select" label="form - Select a Clustering Method" help=""> <option value="integral" selected="true">Integral</option> <option value="discrete">Discrete</option> </param> <when value="integral"/> <when value="discrete"> <param name="step" type="float" value="0.10" min="0.0" max="1.0" label="step - Step size - ignored if not > 0" help="default value 0.10, smaller steps approach integral"/> <param name="cutoff" type="float" value="" optional="true" min="0.0" max="1.0" label="cutoff - Cutoff threshold - ignored if left empty"/> </when> </conditional> <expand macro="param-savelog"/> </inputs> <outputs> <expand macro="logfile-output"/> <data name="summary" format="tabular" from_work_dir="dist*.summary" label="${tool.name} on ${on_string}: summary"/> <data name="coverage" format="tabular" from_work_dir="dist*.coverage" label="${tool.name} on ${on_string}: coverage"/> </outputs> <tests> <test> <param name="dist" value="amazon.dist" ftype="mothur.dist"/> <param name="group" value="amazon.groups" ftype="mothur.groups"/> <output name="summary"> <assert_contents> <has_text text="forest-pasture"/> <has_text text="pasture-forest"/> </assert_contents> </output> <output name="coverage"> <assert_contents> <has_text text="dist"/> <has_text text="forest-pasture"/> <has_text text="pasture-forest"/> </assert_contents> </output> <param name="savelog" value="true"/> <expand macro="logfile-test"/> </test> <test> <param name="dist" value="amazon.dist" ftype="mothur.dist"/> <param name="group" value="amazon.groups" ftype="mothur.groups"/> <param name="groups" value="forest,pasture"/> <param name="form2" value="discrete"/> <param name="step" value="0.25"/> <param name="cutoff" value="0.25"/> <output name="summary"> <assert_contents> <has_text text="forest-pasture"/> <has_text text="pasture-forest"/> </assert_contents> </output> <output name="coverage"> <assert_contents> <has_text text="dist"/> <has_text text="forest-pasture"/> <has_text text="pasture-forest"/> </assert_contents> </output> <param name="savelog" value="true"/> <expand macro="logfile-test"/> </test> </tests> <help><![CDATA[ @MOTHUR_OVERVIEW@ **Command Documentation** The libshuff_ method is a generic test that describes whether two or more communities have the same structure using the Cramer-von Mises test statistic. The significance of the test statistic indicates the probability that the communities have the same structure by chance. Because each pairwise comparison requires two significance tests, a correction for multiple comparisons (e.g. Bonferroni's correction) must be applied. .. _libshuff: https://www.mothur.org/wiki/Libshuff ]]></help> <expand macro="citations"> <citation type="doi">10.1128/AEM.67.9.4374-4376.2001</citation> <citation type="doi">10.1128/AEM.70.9.5485-5492.2004</citation> </expand> </tool>