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planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit edcca4677d954001b33ad15e22603ea452031d76
author | ebi-gxa |
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date | Wed, 11 Mar 2020 06:45:49 -0400 |
parents | 741d50b6dc78 |
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<?xml version="1.0" encoding="utf-8"?> <tool id="scanpy_filter_genes" name="Scanpy FilterGenes" version="@TOOL_VERSION@+galaxy3"> <description>based on counts and numbers of cells expressed</description> <macros> <import>scanpy_macros2.xml</import> </macros> <expand macro="requirements"/> <command detect_errors="exit_code"><![CDATA[ ln -s '${input_obj_file}' input.h5 && PYTHONIOENCODING=utf-8 scanpy-filter-genes #if $parameters #set pars = ' '.join(['--param g:{name} {min} {max}'.format(**$p) for $p in $parameters]) ${pars} #end if #if $categories #set cats = ' '.join(['--category g:{name} {negate}{values}'.format(**$c) for $c in $categories]) ${cats} #end if #if $subsets #set subs = ' '.join(['--subset g:{name} {subset}'.format(**$s) for $s in $subsets]) ${subs} #end if @INPUT_OPTS@ @OUTPUT_OPTS@ @EXPORT_MTX_OPTS@ ]]></command> <inputs> <expand macro="input_object_params"/> <expand macro="output_object_params"/> <repeat name="parameters" title="Parameters used to filter genes" min="1"> <param name="name" type="text" value="n_cells" label="Name of parameter to filter on" help="for example n_genes or n_counts"> <option value="n_cells">n_cells</option> <option value="n_counts">n_counts</option> </param> <param name="min" type="float" min="0" value="0" label="Min value"/> <param name="max" type="float" min="0" value="1e9" label="Max value"/> </repeat> <repeat name="categories" title="Categories used to filter genes" min="0"> <param name="name" type="text" value="" label="Name of the categorical variable to filter on"/> <param name="values" type="text" value="" label="Comma-separated list of categories"/> <param name="negate" type="boolean" truevalue="!" falsevalue="" checked="false" label="Apply as negative filter" help="If enabled, specified categories will be removed rather than retained."/> </repeat> <repeat name="subsets" title="Subsets used to filter genes" min="0"> <param name="name" type="text" value="" label="Name of the categorical variable to filter on"/> <param name="subset" type="data" format="tabular" label="List of values to keep" help="A one-column headerless text file is required"/> </repeat> <expand macro="export_mtx_params"/> </inputs> <outputs> <data name="output_h5" format="h5" from_work_dir="output.h5" label="${tool.name} on ${on_string}: Filtered genes"/> <expand macro="export_mtx_outputs"/> </outputs> <tests> <test> <param name="input_obj_file" value="filter_cells.h5"/> <param name="input_format" value="anndata"/> <param name="output_format" value="anndata"/> <repeat name="parameters"> <param name="name" value="n_cells"/> <param name="min" value="3"/> <param name="max" value="1e9"/> </repeat> <repeat name="parameters"> <param name="name" value="n_counts"/> <param name="min" value="0"/> <param name="max" value="1e9"/> </repeat> <output name="output_h5" file="filter_genes.h5" ftype="h5" compare="sim_size"/> </test> </tests> <help><![CDATA[ ===================================================================== Filter genes based on arbitrary attributes (`scanpy.pp.filter_genes`) ===================================================================== Keep genes that have at least `min_counts` counts or are expressed in at least `min_cells` cells or have at most `max_counts` counts or are expressed in at most `max_cells` cells. Other gene attributes can be used for filtering too if available. @HELP@ @VERSION_HISTORY@ ]]></help> <expand macro="citations"/> </tool>