comparison draw_variants.xml @ 31:a631c2f6d913

Update to Miller Lab devshed revision 3c4110ffacc3

30:4188853b940b

<tool id="gd_draw_variants" name="Draw" version="1.0.0">
  <description>variants</description>

  <command interpreter="python">
    #import json
    #import base64
    #import zlib
    #set $ind_names = $input.dataset.metadata.individual_names
    #set $ind_colms = $input.dataset.metadata.individual_columns
    #set $ind_dict = dict(zip($ind_names, $ind_colms))
    #set $ind_json = json.dumps($ind_dict, separators=(',',':'))
    #set $ind_comp = zlib.compress($ind_json, 9)
    #set $ind_arg = base64.b64encode($ind_comp)
    draw_variants.py '$input' '$indel_input' '$coverage_input' '$annotation_input' '$indiv_input' '$ref_name' '$min_coverage' '$output' '$ind_arg'
  </command>

  <inputs>
    <param name="input" type="data" format="gd_snp" label="SNP dataset" />
    <param name="indel_input" type="data" format="gd_snp" label="Indel dataset" />
    <param name="coverage_input" type="data" format="interval" label="Coverage dataset" />
    <param name="annotation_input" type="data" format="interval" label="Annotation dataset" />
    <param name="indiv_input" type="data" format="gd_indivs" label="Population Individuals" />

    <param name="ref_name" type="select" label="Ref name">
      <options from_dataset="indiv_input">
        <column name="name" index="1"/>
        <column name="value" index="1"/>
        <filter type="add_value" name="default" value="default" index="0" />
      </options>
    </param>

    <param name="min_coverage" type="integer" min="1" value="1" label="Minimum coverage" />
  </inputs>

  <outputs>
    <data name="output" format="svg" />
  </outputs>

  <help>
  </help>
</tool>

31:a631c2f6d913

<tool id="gd_draw_variants" name="Draw variants" version="1.1.0">
  <description>: show positions of SNVs and unsequenced intervals</description>

  <command interpreter="python">
    #import json
    #import base64
    #import zlib
    #if $use_snp.choice == '1'
      #set $snp_file = $use_snp.snp_input
      #set $snp_ext = $use_snp.snp_input.ext
      #set $snp_names = $use_snp.snp_input.dataset.metadata.individual_names
      #set $snp_colms = $use_snp.snp_input.dataset.metadata.individual_columns
      #set $snp_dict = dict(zip($snp_names, $snp_colms))
      #set $snp_json = json.dumps($snp_dict, separators=(',',':'))
      #set $snp_comp = zlib.compress($snp_json, 9)
      #set $snp_arg = base64.b64encode($snp_comp)
    #else
      #set $snp_file = '/dev/null'
      #set $snp_ext = ''
      #set $snp_arg = ''
    #end if
    #if $use_cov.choice == '1'
      #set $cov_file = $use_cov.cov_input
      #set $cov_ext = $use_cov.cov_input.ext
      #set $cov_names = $use_cov.cov_input.dataset.metadata.individual_names
      #set $cov_colms = $use_cov.cov_input.dataset.metadata.individual_columns
      #set $cov_dict = dict(zip($cov_names, $cov_colms))
      #set $cov_json = json.dumps($cov_dict, separators=(',',':'))
      #set $cov_comp = zlib.compress($cov_json, 9)
      #set $cov_arg = base64.b64encode($cov_comp)
      #set $cov_min = $use_cov.min_coverage
    #else
      #set $cov_file = '/dev/null'
      #set $cov_ext = ''
      #set $cov_arg = ''
      #set $cov_min = 0
    #end if
    #if $use_indiv.choice == '1'
      #set $ind_arg = $use_indiv.indiv_input
    #else
      #set $ind_arg = '/dev/null'
    #end if
    draw_variants.py '$snp_file' '$snp_ext' '$snp_arg' '$ind_arg' '$annotation_input' '$cov_file' '$cov_ext' '$cov_arg' '$cov_min' '$output'
  </command>

  <inputs>
    <conditional name="use_snp">
      <param name="choice" type="select" format="integer" label="Include SNP/Genotype dataset">
        <option value="1" selected="true">yes</option>
        <option value="0">no</option>
      </param>
      <when value="0" />
      <when value="1">
        <param name="snp_input" type="data" format="gd_snp,gd_genotype" label="SNP/Genotype dataset" />
      </when>
    </conditional>
    <conditional name="use_cov">
      <param name="choice" type="select" format="integer" label="Include Coverage dataset">
        <option value="1" selected="true">yes</option>
        <option value="0">no</option>
      </param>
      <when value="0" />
      <when value="1">
        <param name="cov_input" type="data" format="gd_snp,gd_genotype" label="Coverage dataset" />
        <param name="min_coverage" type="integer" min="1" value="1" label="Minimum coverage" />
      </when>
    </conditional>
    <conditional name="use_indiv">
      <param name="choice" type="select" label="Compute for">
        <option value="0" selected="true">All individuals</option>
        <option value="1">Individuals in a population</option>
      </param>
      <when value="0" />
      <when value="1">
        <param name="indiv_input" type="data" format="gd_indivs" label="Population Individuals" />
      </when>
    </conditional>
    <param name="annotation_input" type="data" format="interval" label="Annotation dataset" />
  </inputs>

  <outputs>
    <data name="output" format="tiff" />
  </outputs>

  <requirements>
    <requirement type="package" version="0.1">gd_c_tools</requirement>
  </requirements>

  <help>
**What it does**

The user supplies the following:

   1. A optional file in gd_genotype or gd_snp format giving the mitochondrial SNPs.
   2. An optional gd_genotype file gives the sequence coverage for each individual at each mitochondrial position.
   3. The minimum depth of sequence coverage. Positions where an individual has less coverage are ignoried.
   4. A set of individuals specified with the "Specify individuals" tool.
   5. A file of annotation for the reference mitochondrial sequence.

The program draws a picture indicating the locations of SNPs and the inadequately covered interval.
  </help>
</tool>