comparison ggplot2_heatmap.xml @ 9:1a72f938213e draft default tip

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/ggplot2 commit 6737c924917eea8c009c30d7f9917d5a341b9948

8:10515715c940

<tool id="ggplot2_heatmap" name="Heatmap w ggplot" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="20.01">
    <expand macro="bio_tools"/>
    <macros>
        <import>macros.xml</import>
    </macros>
    <requirements>
        <requirement type="package" version="1.1.1">r-cowplot</requirement>
        <requirement type="package" version="0.4.5">r-egg</requirement>
        <requirement type="package" version="0.1.23">r-ggdendro</requirement>
        <requirement type="package" version="1.0.10">r-dplyr</requirement>

    </inputs>
    <outputs>
         <expand macro="additional_output" />
    </outputs>
    <tests>
        <test>
            <param name="input1" value="mtcars.txt" ftype="tabular"/>
            <conditional name="inputdata">
                <param name="input_type" value="with_header_rownames"/>
                <param name="header" value="TRUE"/>
                <param name="row_names_index" value="1"/>

            </conditional>
            <param name="transform" value="log10plus1"/>
            <param name="cluster" value="true"/>
            <param name="colorscheme" value="blwhre"/>
            <param name="additional_output_format" value="pdf"/>
            <output name="output2" file="ggplot_heatmap_result1.pdf" compare="sim_size"/>
        </test>
    </tests>
    <help><![CDATA[
This tool will generate a clustered heatmap of your data. More customization options will be added, for now the heatmap uses a red coloring scheme and clustering is performed using the "maximum" similarity measure and the "complete" hierarchical clustering measure.

Input data should have row labels in the first column and column labels. For example, the row labels (the first column) should represent gene IDs and the column labels should represent sample IDs.
    ]]></help>
    <citations>
    </citations>
</tool>

9:1a72f938213e

<tool id="ggplot2_heatmap" name="Heatmap w ggplot" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="20.01">
    <macros>
        <import>macros.xml</import>
    </macros>
    <expand macro="bio_tools"/>
    <requirements>
        <requirement type="package" version="1.1.1">r-cowplot</requirement>
        <requirement type="package" version="0.4.5">r-egg</requirement>
        <requirement type="package" version="0.1.23">r-ggdendro</requirement>
        <requirement type="package" version="1.0.10">r-dplyr</requirement>

    </inputs>
    <outputs>
         <expand macro="additional_output" />
    </outputs>
    <tests>
        <test expect_num_outputs="2">
            <param name="input1" value="mtcars.txt" ftype="tabular"/>
            <conditional name="inputdata">
                <param name="input_type" value="with_header_rownames"/>
                <param name="header" value="TRUE"/>
                <param name="row_names_index" value="1"/>

            </conditional>
            <param name="transform" value="log10plus1"/>
            <param name="cluster" value="true"/>
            <param name="colorscheme" value="blwhre"/>
            <param name="additional_output_format" value="pdf"/>
            <output name="output2" file="ggplot_heatmap_result1.pdf" ftype="pdf" compare="sim_size"/>
        </test>
    </tests>
    <help><![CDATA[
This tool will generate a clustered heatmap of your data. More customization options will be added, for now the heatmap uses a red coloring scheme and clustering is performed using the "maximum" similarity measure and the "complete" hierarchical clustering measure.

Input data should have row labels in the first column and column labels. For example, the row labels (the first column) should represent gene IDs and the column labels should represent sample IDs.
    ]]></help>
    <expand macro="citations"/>
</tool>