view plotFingerprint.xml @ 3:d0c03d57e471 draft

planemo upload for repository https://github.com/fidelram/deepTools/tree/master/galaxy/wrapper/ commit 2e8510e4f4015f51f7726de5697ba2de9b4e2f4c

<tool id="deeptools_plot_fingerprint" name="plotFingerprint" version="@WRAPPER_VERSION@.0">
    <description>plots profiles of BAM files; useful for assesing ChIP signal strength</description>
    <macros>
        <token name="@BINARY@">plotFingerprint</token>
        <import>deepTools_macros.xml</import>
    </macros>
    <expand macro="requirements" />
    <command>
<![CDATA[
        @multiple_input_bams@
        @BINARY@
            @THREADS@
            --bamfiles #echo " ".join($files)
            --labels #echo " ".join($labels)
            --plotFile $outFileName

            #if $output.showOutputSettings == "yes"
                --plotFileFormat $output.outFileFormat
                #if $output.saveRawCounts:
                    --outRawCounts '$outFileRawCounts'
                #end if
            #else
                --plotFileFormat 'png'
            #end if

            #if str($region).strip() != '':
                --region '$region'
            #end if

            #if $advancedOpt.showAdvancedOpt == "yes":
                --binSize '$advancedOpt.binSize'
                --numberOfSamples '$advancedOpt.numberOfSamples'

                $advancedOpt.ignoreDuplicates
                $advancedOpt.skipZeros

                #if $advancedOpt.minMappingQuality:
                --minMappingQuality '$advancedOpt.minMappingQuality'
                #end if

                #if $advancedOpt.plotTitle and str($advancedOpt.plotTitle.value) != "":
                    --plotTitle '$advancedOpt.plotTitle'
                #end if
                @ADVANCED_OPTS_READ_PROCESSING@
            #end if
]]>
    </command>

    <inputs>
        <expand macro="multiple_input_bams" />
        <expand macro="region_limit_operation" />

        <conditional name="advancedOpt">
            <param name="showAdvancedOpt" type="select" label="Show advanced options" >
                <option value="no" selected="true">no</option>
                <option value="yes">yes</option>
            </param>
            <when value="no" />
            <when value="yes">
                <param argument="--binSize" type="integer" value="500" min="1"
                   label="Bin size in bases"
                   help="Length in bases for a window used to sample the genome."/>
                <param argument="--numberOfSamples" type="integer" value="100000" min="1"
                   label="Number of samples"
                   help="Number of samples taken from the genome to compute the scaling factors."/>
                <expand macro="read_processing_options" />
                <expand macro="skipZeros" />
                <expand macro="plotTitle" />
            </when>
        </conditional>

        <conditional name="output">
            <param name="showOutputSettings" type="select" label="Show advanced output settings">
                <option value="no" selected="true">no</option>
                <option value="yes">yes</option>
            </param>
            <when value="no" />
            <when value="yes">
                <expand macro="input_image_file_format" />
                <param name="saveRawCounts" type="boolean" label="Save the bin counts" help="(--outRawCounts)"/>
            </when>
        </conditional>
    </inputs>
    <outputs>
        <expand macro="output_image_file_format" />
        <data format="tabular" name="outFileRawCounts" label="${tool.name} on ${on_string}: bin counts">
            <filter>
            ((
                output['showOutputSettings'] == 'yes' and
                output['saveRawCounts'] is True
            ))
            </filter>
        </data>
    </outputs>
    <tests>
        <test>
            <param name="bamfiles" value="bowtie2-test1.bam,bowtie2-test1.bam" ftype="bam" />
            <param name="showAdvancedOpt" value="no" />
            <param name="showOutputSettings" value="no" />
            <output name="outFileName" file="plotFingerprint_result1.png" ftype="png" compare="sim_size" />
        </test>
        <test>
            <param name="bamfiles" value="bowtie2-test1.bam,bowtie2-test1.bam" ftype="bam" />
            <param name="showAdvancedOpt" value="yes" />
            <param name="showOutputSettings" value="yes" />
            <param name="saveRawCounts" value="True" />
            <param name="plotTitle" value="Test Fingerprint Plot" />
            <output name="outFileName" file="plotFingerprint_result2.png" ftype="png" compare="sim_size" />
            <output name="outFileRawCounts" file="plotFingerprint_result2.tabular" ftype="tabular" />
        </test>
    </tests>
    <help>
<![CDATA[


What it does
------------

This tool is useful for assessing the strength of a ChIP (i.e. how clearly the enrichment signal can be separated from the background)
and is based on a method described in Diaz et al. (2012) Stat Appl Genet Mol Biol 11(3).


Output
------

The default output is a diagnostic plot (see below for an example and further down for some background information).

Optionally, you can obtain the table of raw counts that was used to generate the plot.

.. image:: $PATH_TO_IMAGES/plotFingerprint_output.png
  :width: 600
  :height: 395


Example plot
-------------

What follows is the output of ``plotFingerprint`` with our test ChIP-Seq data sets, limiting the analysis to chromosome X. Single-end reads were extended to
200 bp (advanced options).

.. image:: $PATH_TO_IMAGES/bamFP_galaxy_output.png
   :width: 600
   :height: 450

-----

Theoretical Background
----------------------

The tool first samples indexed BAM files and counts all reads overlapping a window (bin) of the specified length.
These counts are then sorted according to their rank (the bin with the highest number of reads has the highest rank)
and the cumulative sum of read counts are plotted. An ideal input (control) with a uniform distribution of reads alignments
result in a diagonal line. A very specific and strong ChIP enrichment, on the other hand, would result in a large portion
of reads accumulating in just a few bins and the resulting plot showing a steep rise toward the right-most edge. Such results are
most commonly seen with transcription factors.


.. image:: $PATH_TO_IMAGES/QC_fingerprint.png
   :width: 600
   :height: 294

-----

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