annotate multigsea.xml @ 1:e48b10ce08b8 draft default tip

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/multigsea commit 945cc63f011002e3f61d7e848d556b647e9c8878

<tool id="multigsea" name="multiGSEA" version="@TOOL_VERSION@+galaxy@SUFFIX_VERSION@" profile="@PROFILE@">
    <description>GSEA-based pathway enrichment analysis for multi-omics data</description>
    <macros>
        <import>macros.xml</import>
    </macros>
    <expand macro='xrefs'/>
    <expand macro='requirements'/>
    <stdio>
        <regex match="Execution halted"
           source="both"
           level="fatal"
           description="Execution halted." />
        <regex match="Error in"
           source="both"
           level="fatal"
           description="An undefined error occurred, please check your input carefully and contact your administrator." />
        <regex match="Fatal error"
           source="both"
           level="fatal"
           description="An undefined error occurred, please check your input carefully and contact your administrator." />
    </stdio>
    <command><![CDATA[

        Rscript '${__tool_directory__}/multiGSEA.R'
            #if $transcriptomics_data.selector == "true"
                --transcriptomics '${transcriptomics_data.transcriptomics}'
                --transcriptome_ids $transcriptomics_data.transcriptome_ids
            #end if
            #if $proteomics_data.selector == "true"
                --proteomics '${proteomics}'
                --proteome_ids $proteomics_data.proteome_ids
            #end if
            #if $metabolomics_data.selector == "true"
                --metabolomics '${metabolomics}'
                --metabolome_ids $metabolomics_data.metabolome_ids
            #end if
            --organism $organism
            --databases $databases
            --combine_pvalues $combine_pvalues
            --padj_method $padj_method

    ]]></command>
    <inputs>
        <conditional name="transcriptomics_data">
            <param name="selector" type="select" label="Select transcriptomics data">
                <option value="true">Enabled</option>
                <option value="false">Disabled</option>
            </param>
            <when value="true">
                <param name="transcriptomics" type="data" format="tabular" label="Transcriptomics data" 
                    help="String specifying the returned gene ID format." />
                <expand macro="macro_IDs" name="transcriptome_ids" label="Gene ID format in transcriptomics data"/>
            </when>
            <when value="false"/>
        </conditional>
        <conditional name="proteomics_data">
            <param name="selector" type="select" label="Select proteomics data">
                <option value="true">Enabled</option>
                <option value="false">Disabled</option>
            </param>
            <when value="true">
                <param name="proteomics" type="data" format="tabular" label="Proteomics data" 
                    help="String specifying the returned gene ID format" />
                <expand macro="macro_IDs" name="proteome_ids" label="Gene ID format in proteomics data"/>
            </when>
            <when value="false"/>
        </conditional>
        <conditional name="metabolomics_data">
            <param name="selector" type="select" label="Select metabolomics data">
                <option value="true">Enabled</option>
                <option value="false">Disabled</option>
            </param>
            <when value="true">
                <param name="metabolomics" type="data" format="tabular" label="Metabolomics data" 
                    help="String specifying the returned metabolite ID format." />
                <param name="metabolome_ids" type="select" label="Metabolite ID format" 
                    help="String specifying the returned metabolite ID format.">
                    <option value="HMDB">HMDB</option>
                    <option value="CAS">CAS</option>
                    <option value="DTXCID">DTXCID</option>
                    <option value="DTXSID">DTXSID</option>
                    <option value="SID">SID</option>
                    <option value="CID">CID</option>
                    <option value="ChEBI">ChEBI</option>
                    <option value="KEGG">KEGG</option>
                    <option value="Drugbank">Drugbank</option>
                </param>
            </when>
            <when value="false"/>
        </conditional>
        <param name="organism" type="select" label="Supported organisms">
            <option value="hsapiens">Homo sapiens (Human)</option>
            <option value="mmusculus">Mus musculus (Mouse)</option>
            <option value="rnorvegicus">Rattus Norvegicus (Rat)</option>
            <option value="cfamiliaris">Canis lupus familiaris (Dog)</option>
            <option value="btaurus">Bos taurus (Cow)</option>
            <option value="sscrofa">Sus scrofa (Pig)</option>
            <option value="ggallus">Gallus gallus (Chicken)</option>
            <option value="xlaevis">Xenopus laevis (Flog)</option>
            <option value="drerio">Danio rerio (Zebrafish)</option>
            <option value="dmelanogaster">Drosophila melanogaster (Fruit fly)</option>
            <option value="celegans">Caenorabditis elegans (Roundworm)</option>
        </param>
        <param name="databases" type="select" multiple="true" label="Pathway databases" help="Available pathway databases">
            <option value="all" selected="true">All available databases</option>
            <option value="kegg">KEGG</option>
            <option value="reactome">REACTOME</option>
	    <option value="wikipathways">WIKIPATHWAYS</option>
	    <option value="pathbank">PATHBANK</option>
	    <option value="smpdb">SMPDB (Human only)</option>
	    <option value="panther">PANTHER (Human only)</option>
	    <option value="pharmgkb">PHARMGKB (Human only)</option>
        </param>
        <param name="combine_pvalues" type="select" label="Combine p-values method" help="It specifies the method to combine multiple p-values ">
            <option value="stouffer">Stouffer</option>
            <option value="fisher">Fisher</option>
            <option value="edgington">Edgington</option>
        </param>
        <param name="padj_method" type="select" label="P-values correction method" help=" Multiple testing corrections adjust 
            p-values derived from multiple statistical tests to correct for occurrence of false positives">
            <option value="holm">Holm</option>
            <option value="hochberg">Hochberg</option>
            <option value="hommel">Hommel</option>
            <option value="bonferroni">Bonferroni</option>
            <option value="BH" selected="true">BH</option>
            <option value="BY">BY</option>
        </param>
    </inputs>
    <outputs>
        <data name="output" format="tabular" from_work_dir="results.tsv" label="${tool.name} on ${on_string}: pathway enrichment"/>
    </outputs>
    <tests>
        <!-- Test only with transcriptomics data -->
        <test expect_num_outputs="1">
            <param name="organism" value="hsapiens"/>
            <param name="databases" value="kegg"/>
            <param name="combine_pvalues" value="stouffer"/>
            <param name="padj_method" value="holm"/>
            <conditional name="transcriptomics_data">
                <param name="selector" value="true"/>
                <param name="transcriptomics" value="transcriptome.tsv"/>
                <param name="transcriptome_ids" value="SYMBOL"/>
            </conditional>
            <output name="output">
                <assert_contents>
                    <has_size value="43574" delta="300"/>
                    <has_n_lines n="327"/>
                    <has_n_columns n="9"/>
                    <has_text text="Ubiquinone and other terpenoid-quinone biosynthesis"/>
                </assert_contents>
            </output>
        </test>
        <!-- Test all inputs -->
        <test expect_num_outputs="1">
            <param name="organism" value="hsapiens"/>
            <param name="databases" value="kegg"/>
            <param name="combine_pvalues" value="stouffer"/>
            <param name="padj_method" value="holm"/>
            <conditional name="transcriptomics_data">
                <param name="selector" value="true"/>
                <param name="transcriptomics" value="transcriptome.tsv"/>
                <param name="transcriptome_ids" value="SYMBOL"/>
            </conditional>
            <conditional name="proteomics_data">
                <param name="selector" value="true"/>
                <param name="proteomics" value="proteome.tsv"/>
                <param name="proteome_ids" value="SYMBOL"/>
            </conditional>
            <conditional name="metabolomics_data">
                <param name="selector" value="true"/>
                <param name="metabolomics" value="metabolome.tsv"/>
                <param name="metabolome_ids" value="HMDB"/>
            </conditional>
            <output name="output">
                <assert_contents>
                    <has_n_lines n="327"/>
                    <has_n_columns n="9"/>
                    <has_text text="Ubiquinone and other terpenoid-quinone biosynthesis"/>
                </assert_contents>
            </output>
        </test>    
    </tests>
    <help><![CDATA[

.. class:: infomark

Purpose
=======

The multiGSEA allows to perform robust GSEA-based pathway enrichment for
multiple omics layers. The enrichment is calculated for each omics layer
separately and aggregated p-values are calculated afterwards to derive a
composite multi-omics pathway enrichment.

Input requirements
==================

``multiGSEA`` can be applied with up to three different omics layers. In
principle, the input format is similar between those layers, containing
the feature IDs, the log2 fold change, and the p-Value.

The columns have to be named as follows:

::

   - Symbol (feature ID)
   - logFC  (log2 fold change)
   - pValue 

Two example omics data sets is shown below:

**Trancriptomics input data**

================== ========= ============
Symbol             logFC     pValue
================== ========= ============
ENSRNOG00000009450 -3.447792 1.063839e-24
ENSRNOG00000011858 -2.604610 4.928870e-36
ENSRNOG00000005438 -2.743588 8.085929e-15
ENSRNOG00000005697 -3.575947 5.721265e-34
ENSRNOG00000011130 -2.507097 2.931514e-11
ENSRNOG00000002265 -2.647413 9.085615e-26
================== ========= ============

**Proteomics input data**

======== ====== ============
Symbol   logFC  pValue
======== ====== ============
B1WBW4   -4.080 6.027171e-04
B2RYC9   -2.860 2.937084e-06
F1LPV8   3.370  2.930764e-13
F1LR66   5.310  3.580927e-16
P06685   5.030  1.890405e-18
P06761   0.324  4.833296e-01
======== ====== ============

Organisms
=========

``multiGSEA`` can be applied to 11 model organisms:

-  *Homo sapiens* (hsapiens)
-  *Mus musculus* (mmusculus)
-  *Rattus norvegicus* (rnorvegicus)
-  *Canis familiaris* (cfamiliaris)
-  *Sus scrofa* (sscrofa)
-  *Bos taurus* (btaurus)
-  *Danio rerio* (drerio)
-  *Gallus gallus* (ggallus)
-  *Xaenopus laevis* (xlaevis)
-  *Caenorhabditis elegans* (celegans)
-  *Drosophila melanogaster* (dmelanogaster)

Databases
=========

Depending on the selected organism, several pathway databases can be
queried.

**H.sapiens**

 - kegg, reactome, wikipathways, panther, pathbank, pharmgkb, smpdb

**M.musculus, R.norvegicus, B.taurus, C.elegans, D.melanogaster**

 - kegg, reactome, pathbank, wikipathways

**C.familiaris, S.scrofa, D.rerio, G.gallus**

 - kegg, reactome, wikipathways

**X.laevis**

 - kegg

Combining p-values
==================

multiGSEA provided three different methods to aggregate p-values. These
methods differ in their way how they weight either small or large
p-values. By default, combinePvalues will apply the Z-method or
Stouffer’s method (Stouffer *et al.*, 1949) which has no bias towards
small or large p-values. The widely used Fisher’s combined probability
test (Fisher, 1932) can also be applied but is known for its bias
towards small p-values. Edgington’s method goes the opposite direction
by favoring large p-values (Edgington, 1972).


Output format
=============

The calculated pathway enrichment is sorted based on their combined adjusted p-values. For each individual pathway, the single omics p-Value and adjusted p-Values are collected as well as the combined p-Value and adjusted p-Value.


    ]]></help>
    <expand macro="citations" />
</tool>