Mercurial > repos > ebi-gxa > scanpy_normalise_data
diff scanpy-normalise-data.xml @ 0:19805a556cd6 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/scanpy-scripts commit dca9be719ceb86abad7589c240b1bb7656826c48-dirty
| author | ebi-gxa |
|---|---|
| date | Wed, 13 Mar 2019 11:49:12 -0400 |
| parents | |
| children | 5704635cef67 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/scanpy-normalise-data.xml Wed Mar 13 11:49:12 2019 -0400 @@ -0,0 +1,58 @@ +<?xml version="1.0" encoding="utf-8"?> +<tool id="scanpy_normalise_data" name="Scanpy NormaliseData" version="@TOOL_VERSION@+galaxy0"> + <description>to make all cells having the same total expression</description> + <macros> + <import>scanpy_macros.xml</import> + </macros> + <expand macro="requirements"/> + <command detect_errors="exit_code"><![CDATA[ +ln -s '${input_obj_file}' input.h5 && +PYTHONIOENCODING=utf-8 scanpy-normalise-data.py + -i input.h5 + -f '${input_format}' + -o output.h5 + -F '${output_format}' + -s '${scale_factor}' + #if $save_raw + '${save_raw}' + #end if +]]></command> + + <inputs> + <expand macro="input_object_params"/> + <expand macro="output_object_params"/> + <param name="scale_factor" argument="--scale-factor" type="float" value="1e4" label="Target number to normalise to"/> + <param name="save_raw" argument="--save-raw" type="boolean" truevalue="--save-raw" falsevalue="" checked="true" label="Save pre-normalised data"/> + </inputs> + + <outputs> + <data name="output_h5" format="h5" from_work_dir="output.h5" label="${tool.name} on ${on_string}: Normalized data" /> + </outputs> + + <tests> + <test> + <param name="input_obj_file" value="filter_genes.h5"/> + <param name="input_format" value="anndata"/> + <param name="output_format" value="anndata"/> + <param name="scale_factor" value="1e4"/> + <param name="save_raw" value="false"/> + <output name="output_h5" file="normalise_data.h5" ftype="h5" compare="sim_size"/> + </test> + </tests> + + <help><![CDATA[ +========================================================= +Normalize total counts per cell (`pp.normalize_per_cell`) +========================================================= + +Normalize each cell by total counts over all genes, so that every cell has +the same total count after normalization. + +Similar functions are used, for example, by Seurat, Cell Ranger or SPRING. + +@HELP@ + +@VERSION_HISTORY@ +]]></help> + <expand macro="citations"/> +</tool>
