comparison variant_select.xml @ 33:642c7f54431a draft default tip

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32:29507d31c174

<tool id="gatk2_variant_select" name="Select Variants" version="0.0.3">
  <description>from VCF files</description>
  <requirements>
      <requirement type="package" version="2.1">gatk</requirement>
  </requirements>
  <command interpreter="python">gatk2_wrapper.py

      </test>
  </tests>
  <help>
**What it does**

Often, a VCF containing many samples and/or variants will need to be subset in order to facilitate certain analyses (e.g. comparing and contrasting cases vs. controls; extracting variant or non-variant loci that meet certain requirements, displaying just a few samples in a browser like IGV, etc.). SelectVariants can be used for this purpose. Given a single VCF file, one or more samples can be extracted from the file (based on a complete sample name or a pattern match). Variants can be further selected by specifying criteria for inclusion, i.e. "DP &gt; 1000" (depth of coverage greater than 1000x), "AF &lt; 0.25" (sites with allele frequency less than 0.25). These JEXL expressions are documented in the Using JEXL expressions section (http://www.broadinstitute.org/gsa/wiki/index.php/Using_JEXL_expressions). One can optionally include concordance or discordance tracks for use in selecting overlapping variants. 

For more information on using the SelectVariants module, see this `tool specific page &lt;http://www.broadinstitute.org/gatk/gatkdocs/org_broadinstitute_sting_gatk_walkers_variantutils_SelectVariants.html&gt;`_.

To learn about best practices for variant detection using GATK, see this `overview &lt;http://www.broadinstitute.org/gatk/guide/topic?name=best-practices&gt;`_.

33:642c7f54431a

<tool id="gatk2_variant_select" name="Select Variants" version="0.0.4">
  <description>from VCF files</description>
  <requirements>
      <requirement type="package" version="2.1">gatk</requirement>
  </requirements>
  <command interpreter="python">gatk2_wrapper.py

      </test>
  </tests>
  <help>
**What it does**

Often, a VCF containing many samples and/or variants will need to be subset in order to facilitate certain analyses (e.g. comparing and contrasting cases vs. controls; extracting variant or non-variant loci that meet certain requirements, displaying just a few samples in a browser like IGV, etc.). SelectVariants can be used for this purpose. Given a single VCF file, one or more samples can be extracted from the file (based on a complete sample name or a pattern match). Variants can be further selected by specifying criteria for inclusion, i.e. "DP &gt; 1000" (depth of coverage greater than 1000x), "AF &lt; 0.25" (sites with allele frequency less than 0.25). These JEXL expressions are documented in the `Using JEXL expressions section &lt;http://gatkforums.broadinstitute.org/discussion/1255/what-are-jexl-expressions-and-how-can-i-use-them-with-the-gatk&gt;`_. One can optionally include concordance or discordance tracks for use in selecting overlapping variants. 

For more information on using the SelectVariants module, see this `tool specific page &lt;http://www.broadinstitute.org/gatk/gatkdocs/org_broadinstitute_sting_gatk_walkers_variantutils_SelectVariants.html&gt;`_.

To learn about best practices for variant detection using GATK, see this `overview &lt;http://www.broadinstitute.org/gatk/guide/topic?name=best-practices&gt;`_.