annotate picard_CollectInsertSizeMetrics.xml @ 14:465cbb0cf2eb draft

planemo upload for repository https://github.com/galaxyproject/tools-devteam/tree/master/tools/picard commit 74ee0f0b594075fab7f707aaffb4a7f9dac35f2f

<tool name="CollectInsertSizeMetrics" id="picard_CollectInsertSizeMetrics" version="@TOOL_VERSION@.0">
  <description>plots distribution of insert sizes</description>
  <macros>
    <import>picard_macros.xml</import>
  </macros>
  <expand macro="requirements">
    <requirement type="package" version="3.3.1">r</requirement>
  </expand>
  <command detect_errors="exit_code"><![CDATA[
    @java_options@
    @symlink_element_identifier@
    ##set up input files

    #set $reference_fasta_filename = "localref.fa"

    #if str( $reference_source.reference_source_selector ) == "history":
        ln -s "${reference_source.ref_file}" "${reference_fasta_filename}" &&
    #else:
        #set $reference_fasta_filename = str( $reference_source.ref_file.fields.path )
    #end if

    picard
    CollectInsertSizeMetrics
    INPUT='$escaped_element_identifier'
    OUTPUT="${outFile}"
    HISTOGRAM_FILE="${histFile}"
    DEVIATIONS="${deviations}"

    #if str( $hist_width ):
      HISTOGRAM_WIDTH="${hist_width}"
    #end if

    MINIMUM_PCT="${min_pct}"
    REFERENCE_SEQUENCE="${reference_fasta_filename}"
    ASSUME_SORTED="${assume_sorted}"
    METRIC_ACCUMULATION_LEVEL="${metric_accumulation_level}"

    VALIDATION_STRINGENCY="${validation_stringency}"
    QUIET=true
    VERBOSITY=ERROR

  ]]></command>
  <inputs>
    <param format="sam,bam" name="inputFile" type="data" label="Select SAM/BAM dataset or dataset collection" help="If empty, upload or import a SAM/BAM dataset."/>
    <conditional name="reference_source">
      <param name="reference_source_selector" type="select" label="Load reference genome from">
        <option value="cached">Local cache</option>
        <option value="history">History</option>
      </param>
      <when value="cached">
        <param name="ref_file" type="select" label="Using reference genome" help="REFERENCE_SEQUENCE">
          <options from_data_table="all_fasta">
          </options>
          <validator type="no_options" message="A built-in reference genome is not available for the build associated with the selected input file"/>
        </param>
      </when>
      <when value="history">
        <param name="ref_file" type="data" format="fasta" label="Use the folloing dataset as the reference sequence" help="REFERENCE_SEQUENCE; You can upload a FASTA sequence to the history and use it as reference" />
      </when>
    </conditional>
    <param name="deviations" type="float" value="10.0" label="Generate mean, sd and plots by trimming the data down to MEDIAN + DEVIATIONS*MEDIAN_ABSOLUTE_DEVIATION" help="DEVIATIONS; This option is offered because insert size data typically includes enough anomalous values from chimeras and other artifacts to make the mean and SD grossly misleading regarding the real distribution. default=10.0"/>
    <param name="hist_width" type="integer" optional="True" label="Explicitly sets the Histogram width, overriding automatic truncation of Histogram tail" help="HISTOGRAM_WIDTH; optional"/>
    <param name="min_pct" type="float" value="0.05" label="When generating the Histogram, discard any data categories (out of FR, TANDEM, RF) that have fewer than this percentage of overall reads" help="MINIMUM_PCT; (Range: 0 to 1). default=0.05. "/>
    <param name="assume_sorted" type="boolean" label="Assume the input file is already sorted" checked="true" truevalue="true" falsevalue="false" help="ASSUME_SORTED"/>
    <param name="metric_accumulation_level" type="select" label="The level(s) at which to accumulate metrics" multiple="true" help="METRIC_ACCUMULATION_LEVEL">
      <option value="ALL_READS" selected="True">All reads</option>
      <option value="SAMPLE">Sample</option>
      <option value="LIBRARY">Library</option>
      <option value="READ_GROUP">Read group</option>
    </param>

    <expand macro="VS" />

  </inputs>

  <outputs>
    <data format="tabular" name="outFile"/>
    <data format="pdf" name="histFile"/>
  </outputs>

  <tests>
    <test>
      <param name="metric_accumulation_level" value="ALL_READS"/>
      <param name="deviations" value="10.0" />
      <param name="hist_width" value="500" />
      <param name="min_pct" value="0.05" />
      <param name="assume_sorted" value="true" />
      <param name="reference_source_selector" value="history" />
      <param name="ref_file" value="picard_CollectInsertSizeMetrics_ref.fa" />
      <param name="inputFile" value="picard_CollectInsertSizeMetrics.bam" ftype="bam" />
      <output name="outFile" file="picard_CollectInsertSizeMetrics_test1.tab" ftype="tabular" lines_diff="4"/>
    </test>
  </tests>


  <help>

.. class:: infomark

**Purpose**

Reads a SAM or BAM dataset and writes a file containing metrics about the statistical distribution of insert size (excluding duplicates) and generates a Histogram plot.

@dataset_collections@

@description@


  DEVIATIONS=Double             Generate mean, sd and plots by trimming the data down to MEDIAN +
                                DEVIATIONS*MEDIAN_ABSOLUTE_DEVIATION. This is done because insert size data typically
                                includes enough anomalous values from chimeras and other artifacts to make the mean and
                                sd grossly misleading regarding the real distribution.  Default value: 10.0.

  HISTOGRAM_WIDTH=Integer
  W=Integer                     Explicitly sets the Histogram width, overriding automatic truncation of Histogram tail.
                                Also, when calculating mean and standard deviation, only bins &lt;= Histogram_WIDTH will be
                                included.  Default value: not set.

  MINIMUM_PCT=Float
  M=Float                       When generating the Histogram, discard any data categories (out of FR, TANDEM, RF) that
                                have fewer than this percentage of overall reads. (Range: 0 to 1).  Default value: 0.05.

  METRIC_ACCUMULATION_LEVEL=MetricAccumulationLevel
  LEVEL=MetricAccumulationLevel The level(s) at which to accumulate metrics.    Possible values: {ALL_READS, SAMPLE,
                                LIBRARY, READ_GROUP} This option may be specified 0 or more times.

  ASSUME_SORTED=Boolean
  AS=Boolean                    If true (default), then the sort order in the header file will be ignored.  Default
                                value: true. This option can be set to 'null' to clear the default value. Possible
                                values: {true, false}

@more_info@

  </help>
</tool>