Mercurial > repos > ebi-gxa > scanpy_plot_embed
diff scanpy-plot-embedding.xml @ 0:c63bc0b71865 draft
"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 4846776f55931e176f7e77af7c185ec6fec7d142"
author | ebi-gxa |
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date | Mon, 16 Sep 2019 08:26:08 -0400 |
parents | |
children | b2410da4e381 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/scanpy-plot-embedding.xml Mon Sep 16 08:26:08 2019 -0400 @@ -0,0 +1,68 @@ +<?xml version="1.0" encoding="utf-8"?> +<tool id="scanpy_plot_embed" name="Scanpy PlotEmbed" version="@TOOL_VERSION@+galaxy0"> + <description>visualise cell embeddings</description> + <macros> + <import>scanpy_macros2.xml</import> + </macros> + <expand macro="requirements"/> + <command detect_errors="exit_code"><![CDATA[ +ln -s '${input_obj_file}' input.h5 && +PYTHONIOENCODING=utf-8 scanpy-cli plot embed + @INPUT_OPTS@ + --basis '${basis}' + --color '${color_by}' + ${use_raw} + --legend-loc '${legend_loc}' + --legend-fontsize '${legend_fontsize}' +#if $point_size + --size ${point_size} +#end if + @PLOT_OPTS@ +]]></command> + + <inputs> + <expand macro="input_object_params"/> + <param name="basis" argument="--basis" type="text" label="Name of the embedding to plot"/> + <param name="color_by" argument="--color" type="text" label="Color by attributes, comma separated texts"/> + <param name="use_raw" argument="--use-raw" type="boolean" checked="true" truevalue="--use-raw" falsevalue="--no-raw" label="Use raw attributes if present"/> + <param name="legend_loc" argument="--legend-loc" type="select" label="Location of legend"> + <option value="right margin" selected="true">Right margin</option> + <option value="on data">On data</option> + </param> + <param name="legend_fontsize" argument="--legend-fontsize" type="integer" value="15" label="Legend font size"/> + <param name="point_size" argument="--size" type="integer" optional="true" label="Point size" + help="Automatically determined if not specified."/> + <expand macro="output_plot_params"/> + </inputs> + + <outputs> + <data name="output_png" format="png" from_work_dir="output.png" label="${tool.name} on ${on_string}: embedding plot"/> + </outputs> + + <tests> + <test> + <param name="input_obj_file" value="find_cluster.h5"/> + <param name="input_format" value="anndata"/> + <param name="color_by" value="louvain"/> + <output name="output_png" file="run_tsne.png" ftype="png" compare="sim_size"/> + </test> + </tests> + + <help><![CDATA[ +============================================================= +Plot embeddings of a given method of dimensionality reduction +============================================================= + +It yields a scatter plot in png format, wherein cells are placed in space of +reduced dimensionality and coloured by attribute of choice. + +Requires calculating the specified embeddings first. For example, to make +UMAP/TSNE plots, run `Scanpy RunUMAP`/`Scanpy RunTSNE` first, then enter +"umap"/"tsne" as the name of the embedding to plot here. + +@HELP@ + +@VERSION_HISTORY@ +]]></help> + <expand macro="citations"/> +</tool>