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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 ebe77c8718ec65277f4dc0d71fa5f4c5677df62d-dirty"
author | ebi-gxa |
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date | Wed, 05 May 2021 12:14:21 +0000 |
parents | a1a7650c5cf2 |
children | 4e7d55438238 |
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<?xml version="1.0" encoding="utf-8"?> <tool id="scanpy_run_paga" name="Scanpy PAGA" version="@TOOL_VERSION@+galaxy0" profile="@PROFILE@"> <description>trajectory inference</description> <macros> <import>scanpy_macros2.xml</import> </macros> <expand macro="requirements"/> <command detect_errors="exit_code"><![CDATA[ ln -s '${input_obj_file}' input.h5 && PYTHONIOENCODING=utf-8 scanpy-cli paga --groups '${groups}' #if $neighbors_key --neighbors-key '${neighbors_key}' #end if #if $key_added --key-added '${key_added}' #end if #if $use_rna_velocity --use-rna-velocity #end if @INPUT_OPTS@ @OUTPUT_OPTS@ ]]></command> <inputs> <expand macro="input_object_params"/> <expand macro="output_object_params"/> <param name="groups" argument="--groups" type="text" label="Name of the clustering"/> <param name="neighbors_key" argument="--neighbors-key" value="neighbors" type="text" label="Name of the slot that holds the KNN graph"/> <param name="key_added" argument="--key-added" type="text" optional="true" label="Additional suffix to the name of the slot to save the calculated trajectory"/> <param name="use_rna_velocity" type="boolean" checked="false" label="Use RNA velocity to orient edges in the abstracted graph and estimate transitions." help=" Requires that adata.uns contains a directed single-cell graph with key velocity_graph. This feature might be subject to change in the future."/> </inputs> <outputs> <expand macro="output_data_obj" description="PAGA object"/> </outputs> <tests> <test> <param name="input_obj_file" value="find_cluster.h5"/> <param name="input_format" value="anndata"/> <param name="output_format" value="anndata"/> <param name="groups" value="louvain"/> <param name="neighbors_key" value="neighbors"/> <output name="output_h5" file="paga.h5" ftype="h5" compare="sim_size"/> </test> </tests> <help><![CDATA[ =================================================================== Perform PAGA (partition-based graph abstraction) (`scanpy.tl.paga`) =================================================================== Infer trajectories by mapping out the coarse-grained connectivity structures of complex manifolds of single cell KNN graphs (Wolf et al, 2019). This requires to run `Scanpy FindCluster`, first. It yields `paga`, connectivity graph between clusters. @HELP@ @VERSION_HISTORY@ ]]></help> <expand macro="citations"> <citation type="doi">10.1186/s13059-019-1663-x</citation> </expand> </tool>