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author | florianbegusch |
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date | Fri, 04 Sep 2020 12:44:24 +0000 |
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<?xml version="1.0" ?> <tool id="qiime_longitudinal_nmit" name="qiime longitudinal nmit" version="2020.8"> <description>Nonparametric microbial interdependence test</description> <requirements> <requirement type="package" version="2020.8">qiime2</requirement> </requirements> <command><![CDATA[ qiime longitudinal nmit --i-table=$itable # if $input_files_mmetadatafile: # 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 + ' --m-metadata-file=' + d['additional_input'].__getattr__('file_name') # end for # return $file_list # end def --m-metadata-file=$list_dict_to_string($input_files_mmetadatafile) # end if #if '__ob__' in str($pindividualidcolumn): #set $pindividualidcolumn_temp = $pindividualidcolumn.replace('__ob__', '[') #set $pindividualidcolumn = $pindividualidcolumn_temp #end if #if '__cb__' in str($pindividualidcolumn): #set $pindividualidcolumn_temp = $pindividualidcolumn.replace('__cb__', ']') #set $pindividualidcolumn = $pindividualidcolumn_temp #end if #if 'X' in str($pindividualidcolumn): #set $pindividualidcolumn_temp = $pindividualidcolumn.replace('X', '\\') #set $pindividualidcolumn = $pindividualidcolumn_temp #end if #if '__sq__' in str($pindividualidcolumn): #set $pindividualidcolumn_temp = $pindividualidcolumn.replace('__sq__', "'") #set $pindividualidcolumn = $pindividualidcolumn_temp #end if #if '__db__' in str($pindividualidcolumn): #set $pindividualidcolumn_temp = $pindividualidcolumn.replace('__db__', '"') #set $pindividualidcolumn = $pindividualidcolumn_temp #end if --p-individual-id-column=$pindividualidcolumn #if str($pcorrmethod) != 'None': --p-corr-method=$pcorrmethod #end if #if str($pdistmethod) != 'None': --p-dist-method=$pdistmethod #end if --o-distance-matrix=odistancematrix #if str($examples) != 'None': --examples=$examples #end if ; cp odistancematrix.qza $odistancematrix ]]></command> <inputs> <param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[RelativeFrequency] Feature table to use for microbial interdependence test. [required]" name="itable" optional="False" type="data" /> <repeat name="input_files_mmetadatafile" optional="False" title="--m-metadata-file"> <param format="tabular,qza,no_unzip.zip" label="--m-metadata-file: METADATA... (multiple Sample metadata file containing individual-id-column. arguments will be merged) [required]" name="additional_input" optional="False" type="data" /> </repeat> <param label="--p-individual-id-column: TEXT Metadata column containing IDs for individual subjects. [required]" name="pindividualidcolumn" optional="False" type="text" /> <param label="--p-corr-method: " name="pcorrmethod" optional="True" type="select"> <option selected="True" value="None">Selection is Optional</option> <option value="kendall">kendall</option> <option value="pearson">pearson</option> <option value="spearman">spearman</option> </param> <param label="--p-dist-method: " name="pdistmethod" optional="True" type="select"> <option selected="True" value="None">Selection is Optional</option> <option value="fro">fro</option> <option value="nuc">nuc</option> </param> <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" /> </inputs> <outputs> <data format="qza" label="${tool.name} on ${on_string}: distancematrix.qza" name="odistancematrix" /> </outputs> <help><![CDATA[ Nonparametric microbial interdependence test ############################################################### Perform nonparametric microbial interdependence test to determine longitudinal sample similarity as a function of temporal microbial composition. For more details and citation, please see doi.org/10.1002/gepi.22065 Parameters ---------- table : FeatureTable[RelativeFrequency] Feature table to use for microbial interdependence test. metadata : Metadata Sample metadata file containing individual_id_column. individual_id_column : Str Metadata column containing IDs for individual subjects. corr_method : Str % Choices('kendall', 'pearson', 'spearman'), optional The temporal correlation test to be applied. dist_method : Str % Choices('fro', 'nuc'), optional Temporal distance method, see numpy.linalg.norm for details. Returns ------- distance_matrix : DistanceMatrix The resulting distance matrix. ]]></help> <macros> <import>qiime_citation.xml</import> </macros> <expand macro="qiime_citation"/> </tool>