Mercurial > repos > florianbegusch > qiime2_suite_zmf
diff qiime2-2020.8/qiime_longitudinal_volatility.xml @ 0:5c352d975ef7 draft
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author | florianbegusch |
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date | Thu, 03 Sep 2020 09:33:04 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/qiime2-2020.8/qiime_longitudinal_volatility.xml Thu Sep 03 09:33:04 2020 +0000 @@ -0,0 +1,208 @@ +<?xml version="1.0" ?> +<tool id="qiime_longitudinal_volatility" name="qiime longitudinal volatility" + version="2020.8"> + <description>Generate interactive volatility plot</description> + <requirements> + <requirement type="package" version="2020.8">qiime2</requirement> + </requirements> + <command><![CDATA[ +qiime longitudinal volatility + +#if str($itable) != 'None': +--i-table=$itable +#end if +# 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($input_files_mmetadatafile) +# end if + +#if '__ob__' in str($pstatecolumn): + #set $pstatecolumn_temp = $pstatecolumn.replace('__ob__', '[') + #set $pstatecolumn = $pstatecolumn_temp +#end if +#if '__cb__' in str($pstatecolumn): + #set $pstatecolumn_temp = $pstatecolumn.replace('__cb__', ']') + #set $pstatecolumn = $pstatecolumn_temp +#end if +#if 'X' in str($pstatecolumn): + #set $pstatecolumn_temp = $pstatecolumn.replace('X', '\\') + #set $pstatecolumn = $pstatecolumn_temp +#end if +#if '__sq__' in str($pstatecolumn): + #set $pstatecolumn_temp = $pstatecolumn.replace('__sq__', "'") + #set $pstatecolumn = $pstatecolumn_temp +#end if +#if '__db__' in str($pstatecolumn): + #set $pstatecolumn_temp = $pstatecolumn.replace('__db__', '"') + #set $pstatecolumn = $pstatecolumn_temp +#end if + +--p-state-column=$pstatecolumn + + +#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 = $pindividualidcolumn_temp +#end if + +#if str($pindividualidcolumn): + --p-individual-id-column=$pindividualidcolumn +#end if + +#if '__ob__' in str($pdefaultgroupcolumn): + #set $pdefaultgroupcolumn_temp = $pdefaultgroupcolumn.replace('__ob__', '[') + #set $pdefaultgroupcolumn = $pdefaultgroupcolumn_temp +#end if +#if '__cb__' in str($pdefaultgroupcolumn): + #set $pdefaultgroupcolumn_temp = $pdefaultgroupcolumn.replace('__cb__', ']') + #set $pdefaultgroupcolumn = $pdefaultgroupcolumn_temp +#end if +#if 'X' in str($pdefaultgroupcolumn): + #set $pdefaultgroupcolumn_temp = $pdefaultgroupcolumn.replace('X', '\\') + #set $pdefaultgroupcolumn = $pdefaultgroupcolumn_temp +#end if +#if '__sq__' in str($pdefaultgroupcolumn): + #set $pdefaultgroupcolumn_temp = $pdefaultgroupcolumn.replace('__sq__', "'") + #set $pdefaultgroupcolumn = $pdefaultgroupcolumn_temp +#end if +#if '__db__' in str($pdefaultgroupcolumn): + #set $pdefaultgroupcolumn_temp = $pdefaultgroupcolumn.replace('__db__', '"') + #set $pdefaultgroupcolumn = $pdefaultgroupcolumn_temp +#end if + +#if str($pdefaultgroupcolumn): + --p-default-group-column=$pdefaultgroupcolumn +#end if + +#if str($pdefaultmetric): + --p-default-metric=$pdefaultmetric +#end if +#if str($pyscale) != 'None': +--p-yscale=$pyscale +#end if + +--o-visualization=ovisualization + +#if str($examples) != 'None': +--examples=$examples +#end if + +; +cp odistancematrix.qza $odistancematrix + +; +qiime tools export ovisualization.qzv --output-path out +&& mkdir -p '$ovisualization.files_path' +&& cp -r out/* '$ovisualization.files_path' +&& mv '$ovisualization.files_path/index.html' '$ovisualization' + +; +qiime tools export ovisualization.qzv --output-path out +&& mkdir -p '$ovisualization.files_path' +&& cp -r out/* '$ovisualization.files_path' +&& mv '$ovisualization.files_path/index.html' '$ovisualization' + +; +qiime tools export ovisualization.qzv --output-path out +&& mkdir -p '$ovisualization.files_path' +&& cp -r out/* '$ovisualization.files_path' +&& mv '$ovisualization.files_path/index.html' '$ovisualization' + +; +qiime tools export ovisualization.qzv --output-path out +&& mkdir -p '$ovisualization.files_path' +&& cp -r out/* '$ovisualization.files_path' +&& mv '$ovisualization.files_path/index.html' '$ovisualization' + + ]]></command> + <inputs> + <param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[RelativeFrequency] Feature table containing metrics. [optional]" name="itable" optional="False" type="data" /> + <repeat name="input_files_mmetadatafile" optional="False" title="--m-metadata-file"> + <param format="tabular,qza,no_unzip.zip" label="--m-metadata-file: METADATA... (multiple Sample metadata file containing arguments will be individual-id-column. merged) [required]" name="additional_input" optional="False" type="data" /> + </repeat> + <param label="--p-state-column: TEXT Metadata column containing state (time) variable information. [required]" name="pstatecolumn" optional="False" type="text" /> + <param label="--p-individual-id-column: TEXT Metadata column containing IDs for individual subjects. [optional]" name="pindividualidcolumn" optional="False" type="text" /> + <param label="--p-default-group-column: TEXT The default metadata column on which to separate groups for comparison (all categorical metadata columns will be available in the visualization). [optional]" name="pdefaultgroupcolumn" optional="False" type="text" /> + <param label="--p-default-metric: TEXT Numeric metadata or artifact column to test by default (all numeric metadata columns will be available in the visualization). [optional]" name="pdefaultmetric" optional="False" type="text" /> + <param label="--p-yscale: " name="pyscale" optional="True" type="select"> + <option selected="True" value="None">Selection is Optional</option> + <option value="linear">linear</option> + <option value="pow">pow</option> + <option value="sqrt">sqrt</option> + <option value="log">log</option> + </param> + <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" /> + + </inputs> + + <outputs> + <data format="html" label="${tool.name} on ${on_string}: visualization.html" name="ovisualization" /> + + </outputs> + + <help><![CDATA[ +Generate interactive volatility plot +############################################################### + +Generate an interactive control chart depicting the longitudinal volatility +of sample metadata and/or feature frequencies across time (as set using the +"state_column" parameter). Any numeric metadata column (and metadata- +transformable artifacts, e.g., alpha diversity results) can be plotted on +the y-axis, and are selectable using the "metric_column" selector. Metric +values are averaged to compare across any categorical metadata column using +the "group_column" selector. Longitudinal volatility for individual +subjects sampled over time is co-plotted as "spaghetti" plots if the +"individual_id_column" parameter is used. state_column will typically be a +measure of time, but any numeric metadata column can be used. + +Parameters +---------- +metadata : Metadata + Sample metadata file containing individual_id_column. +state_column : Str + Metadata column containing state (time) variable information. +individual_id_column : Str, optional + Metadata column containing IDs for individual subjects. +default_group_column : Str, optional + The default metadata column on which to separate groups for comparison + (all categorical metadata columns will be available in the + visualization). +default_metric : Str, optional + Numeric metadata or artifact column to test by default (all numeric + metadata columns will be available in the visualization). +table : FeatureTable[RelativeFrequency], optional + Feature table containing metrics. +yscale : Str % Choices('linear', 'pow', 'sqrt', 'log'), optional + y-axis scaling strategy to apply. + +Returns +------- +visualization : Visualization + ]]></help> + <macros> + <import>qiime_citation.xml</import> + </macros> + <expand macro="qiime_citation"/> +</tool> \ No newline at end of file