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planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/anndata/ commit 2e16aca90c4fc6f13bd024eed43bc4adbf5967da
author | iuc |
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date | Wed, 10 Apr 2019 03:25:39 -0400 |
parents | |
children | 05304c5c195d |
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<tool id="anndata_inspect" name="Inspect AnnData" version="@VERSION@+@GALAXY_VERSION@"> <description>object</description> <macros> <import>macros.xml</import> </macros> <expand macro="requirements"/> <expand macro="version_command"/> <command detect_errors="exit_code"><![CDATA[ @CMD@ ]]></command> <configfiles> <configfile name="script_file"><![CDATA[ @CMD_imports@ adata = ad.read('$input') #if $inspect.info == 'general' with open('$general', 'w') as f: print(adata, file=f) #else if $inspect.info == 'X' adata.to_df().to_csv('$X', sep='\t') #else if $inspect.info == 'obs' adata.obs.to_csv('$obs', sep='\t') #else if $inspect.info == 'var' adata.var.to_csv('$var', sep='\t') #else if $inspect.info == 'chunk_X' import pandas as pd #if $inspect.chunk.info == 'random' X = adata.chunk_X(select=$inspect.chunk.size, replace=$inspect.chunk.replace) #else #set $select = [int(x.strip()) for x in str($inspect.chunk.list).split(',')] X = adata.chunk_X(select=$select) #end if pd.DataFrame(X).to_csv('$chunk_X', sep='\t') #end if ]]></configfile> </configfiles> <inputs> <param name="input" type="data" format="h5ad" label="Annotated data matrix"/> <conditional name="inspect"> <param name="info" type="select" label="What to inspect?"> <option value="general">General information about the object</option> <option value="X">The full data matrix</option> <option value="chunk_X">A chunk of the data matrix</option> <option value="obs">Key-indexed observations annotation</option> <option value="var">Key-indexed annotation of variables/features</option> <!--<option value="uns">Unstructured annotation</option>!--> </param> <when value="general"/> <when value="X"/> <when value="obs"/> <when value="var"/> <when value="chunk_X"> <expand macro="params_chunk_X"/> </when> </conditional> </inputs> <outputs> <data name="general" format="txt" label="${tool.name} on ${on_string}: General information"> <filter>inspect['info'] == 'general'</filter> </data> <data name="X" format="tabular" label="${tool.name} on ${on_string}: Key-indexed observations annotation (X)"> <filter>inspect['info'] == 'X'</filter> </data> <data name="obs" format="tabular" label="${tool.name} on ${on_string}: Key-indexed observations annotation (obs)"> <filter>inspect['info'] == 'obs'</filter> </data> <data name="var" format="tabular" label="${tool.name} on ${on_string}: Key-indexed annotation of variables/features (var)"> <filter>inspect['info'] == 'var'</filter> </data> <data name="chunk_X" format="tabular" label="${tool.name} on ${on_string}: Observations annotation"> <filter>inspect['info'] == 'chunk_X'</filter> </data> </outputs> <tests> <test> <param name="input" value="krumsiek11.h5ad"/> <conditional name="inspect"> <param name="info" value="general"/> </conditional> <output name="general" value="inspect.general.txt"/> </test> <test> <param name="input" value="krumsiek11.h5ad"/> <conditional name="inspect"> <param name="info" value="X"/> </conditional> <assert_stdout> <has_text_matching expression="adata.to_df\(\).to_csv"/> </assert_stdout> <output name="X" value="inspect.X.tabular" ftype="tabular"/> </test> <test> <param name="input" value="krumsiek11.h5ad"/> <conditional name="inspect"> <param name="info" value="obs"/> </conditional> <assert_stdout> <has_text_matching expression="adata.obs.to_csv"/> </assert_stdout> <output name="obs" value="inspect.obs.tabular" ftype="tabular"/> </test> <test> <param name="input" value="krumsiek11.h5ad"/> <conditional name="inspect"> <param name="info" value="var"/> </conditional> <assert_stdout> <has_text_matching expression="adata.var.to_csv"/> </assert_stdout> <output name="var" value="inspect.var.tabular" ftype="tabular"/> </test> <test> <param name="input" value="krumsiek11.h5ad"/> <conditional name="inspect"> <param name="info" value="chunk_X"/> <conditional name="chunk"> <param name="info" value="specified"/> <param name="list" value="3,5,8"/> </conditional> </conditional> <assert_stdout> <has_text_matching expression="adata.chunk_X"/> <has_text_matching expression="select=\[3, 5, 8\]"/> </assert_stdout> <output name="chunk_X" value="inspect.chunk_X.specified.tabular" ftype="tabular"/> </test> <test> <param name="input" value="krumsiek11.h5ad"/> <conditional name="inspect"> <param name="info" value="chunk_X"/> <conditional name="chunk"> <param name="info" value="random"/> <param name="list" value="10"/> <param name="replace" value="true"/> </conditional> </conditional> <assert_stdout> <has_text_matching expression="adata.chunk_X"/> <has_text_matching expression="select=10"/> <has_text_matching expression="replace=True"/> </assert_stdout> <output name="chunk_X"> <assert_contents> <has_text_matching expression="0\t1\t2\t3\t4\t5\t6\t7\t8\t9\t10"/> </assert_contents> </output> </test> </tests> <help><![CDATA[ **What it does** This tool inspects a AnnData dataset and returns: - General information about the object as text - The full data matrix (`X`) as a Tabular - A chunk of the data matrix as a Tabular, using the `chunk_X method <https://anndata.readthedocs.io/en/latest/anndata.AnnData.chunk_X.html>`__ - Key-indexed observations annotation (`obs`) as a Tabular - Key-indexed annotation of variables/features (`var`) as a Tabular @HELP@ ]]></help> <expand macro="citations"/> </tool>