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view scanpy-filter-genes.xml @ 28:9a36525a8425 draft
planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 162313dc6ba68efc5003b1bd9b71a40aec87d826-dirty
author | ebi-gxa |
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date | Fri, 13 Oct 2023 14:07:30 +0000 |
parents | 474a69c47184 |
children | cc64914b0cf4 |
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<?xml version="1.0" encoding="utf-8"?> <tool id="scanpy_filter_genes" name="Scanpy FilterGenes" version="@TOOL_VERSION@+galaxy93" profile="@PROFILE@"> <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 #for $p in $parameters #set $min = $p.min #set $max = $p.max #if $p.name.startswith('pct_') #set $min = float($min) / 100 #set $max = float($max) / 100 #end if --param 'g:$p.name' $min $max #end for #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 $force_recalc @SAVE_MATRIX_OPTS@ @INPUT_OPTS@ @OUTPUT_OPTS@ @EXPORT_MTX_OPTS@ ]]></command> <inputs> <expand macro="input_object_params"/> <expand macro="output_object_params"/> <repeat name="parameters" title="Parameters to select genes to keep" 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" help="Genes with value below min will be discarded."/> <param name="max" type="float" min="0" value="1e9" label="Max value" help="Genes with value above max will be discarded."/> </repeat> <repeat name="categories" title="Categories to select genes to keep (unless negate is checked)" 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 to select genes to keep" 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> <param name="force_recalc" label="Force recalculation of QC vars" type="boolean" truevalue="--force-recalc" falsevalue="" help="If set, it will recalculate pcts and other existing QC vars, overwriting existing ones."/> <expand macro="save_matrix_params"/> <expand macro="export_mtx_params"/> </inputs> <outputs> <expand macro="output_data_obj" description="Filtered cells"/> <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="20"/> <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>