comparison scanpy-scale-data.xml @ 1:edb0d2e8ab66 draft

"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit ba0c88ab1b077a0b1c60c8d3c529e72ca6946226"

0:eae21a6c3128

<?xml version="1.0" encoding="utf-8"?>
<tool id="scanpy_scale_data" name="Scanpy ScaleData" version="@TOOL_VERSION@+galaxy1">
  <description>to make expression variance the same for all genes</description>
  <macros>
    <import>scanpy_macros.xml</import>
  </macros>
  <expand macro="requirements"/>
  <command detect_errors="exit_code"><![CDATA[
ln -s '${input_obj_file}' input.h5 &&
PYTHONIOENCODING=utf-8 scanpy-scale-data.py
    -i input.h5
    -f '${input_format}'
    -o output.h5
    -F '${output_format}'
    #if $scale_max
        -x '${scale_max}'
    #end if
    #if $var_to_regress
        -V '${var_to_regress}'
    #end if
    #if $do_log
        --do-log
    #end if
    #if $zero_center
        --zero-center
    #end if
]]></command>

  <inputs>
    <expand macro="input_object_params"/>
    <expand macro="output_object_params"/>
    <param name="do_log" argument="--do-log" type="boolean" checked="true" label="Do log(x+1) transformation"/>
    <param name="zero_center" argument="--zero-center" type="boolean" checked="true" label="Zero center data before scaling"/>
    <param name="var_to_regress" argument="--var-to-regress" type="text" optional="true" label="Variable(s) to regress out">
      <option value="n_counts">n_counts</option>
    </param>
    <param name="scale_max" argument="--scale-max" type="float" optional="true" label="Truncate to this value after scaling"/>
  </inputs>

  <outputs>
    <data name="output_h5" format="h5" from_work_dir="output.h5" label="${tool.name} on ${on_string}: Scaled data"/>
  </outputs>

  <tests>
    <test>
      <param name="input_obj_file" value="find_variable_genes.h5"/>
      <param name="input_format" value="anndata"/>
      <param name="output_format" value="anndata"/>
      <param name="do_log" value="true"/>
      <param name="zero_center" value="true"/>
      <param name="scale_max" value="10"/>
      <output name="output_h5" file="scale_data.h5" ftype="h5" compare="sim_size"/>
    </test>
  </tests>

  <help><![CDATA[
    .. class:: infomark

    **What it does**

    Scale data to unit variance and zero mean (`pp.scale`)
    Regress out unwanted sources of variation (`pp.regress_out`)

    Regress out unwanted sources of variation, using simple linear regression. This is
    inspired by Seurat's `regressOut` function in R.

    @HELP@

    @VERSION_HISTORY@
]]></help>

1:edb0d2e8ab66

<?xml version="1.0" encoding="utf-8"?>
<tool id="scanpy_scale_data" name="Scanpy ScaleData" version="@TOOL_VERSION@+galaxy10" profile="@PROFILE@">
  <description>to make expression variance the same for all genes</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-scale-data
    #if $scale_max
        --max-value '${scale_max}'
    #end if
    ${zero_center}
    @INPUT_OPTS@
    @OUTPUT_OPTS@
]]></command>

  <inputs>
    <expand macro="input_object_params"/>
    <expand macro="output_object_params"/>
    <param name="zero_center" type="boolean" checked="true" truevalue="" falsevalue="--no-zero-center"
           label="Zero center data before scaling"/>
    <param name="scale_max" argument="--max-value" type="float" min="0" optional="true" label="Truncate to this value after scaling"/>
  </inputs>

  <outputs>
    <expand macro="output_data_obj" description="Scaled data"/>
  </outputs>

  <tests>
    <test>
      <param name="input_obj_file" value="find_variable_genes.h5"/>
      <param name="input_format" value="anndata"/>
      <param name="output_format" value="anndata"/>
      <param name="zero_center" value="true"/>
      <param name="scale_max" value="10"/>
      <output name="output_h5" file="scale_data.h5" ftype="h5" compare="sim_size"/>
    </test>
  </tests>

  <help><![CDATA[
    .. class:: infomark

    **What it does**

    Scale data to unit variance and (optionally) zero mean (`scanpy.pp.scale`)

    @HELP@

    @VERSION_HISTORY@
]]></help>