comparison dpmix.xml @ 21:d6b961721037

Miller Lab Devshed version 4c04e35b18f6

20:8a4b8efbc82c

      "$arg"
    #end for
  </command>

  <inputs>
    <param name="input" type="data" format="gd_snp" label="Dataset">
      <validator type="unspecified_build" message="This dataset does not have a reference species and cannot be used with this tool" />
    </param>
    <param name="ap1_input" type="data" format="gd_indivs" label="Ancestral population 1 individuals" />
    <param name="ap2_input" type="data" format="gd_indivs" label="Ancestral population 2 individuals" />
    <param name="p_input" type="data" format="gd_indivs" label="Potentially admixed individuals" />

    <param name="data_source" type="select" format="integer" label="Data source">
      <option value="0" selected="true">sequence coverage</option>
      <option value="1">estimated genotype</option>
    </param>

    <param name="switch_penalty" type="integer" min="0" value="10" label="Switch penalty" />
  </inputs>

  <outputs>
    <data name="output" format="tabular" />
    <data name="output2" format="html" />

The user specifies two "ancestral" populations (i.e., sources for
chromosomes) and a set of potentially admixed individuals, and chooses
between the sequence coverage or the estimated genotypes to measure
the similarity of genomic intervals in admixed individuals to the two
classes of ancestral chromosomes.  The user also picks a "switch penalty",
typically between 10 and 100.  For each potentially admixed individual,
the program divides the genome into three "genotypes": (0) homozygous
for the first ancestral population (i.e., both chromosomes from that
population), (1) heterozygous, or (2) homozygous for the second ancestral
population.  Parts of a chromosome that are labeled as "heterochromatic"
are given the non-genotype, 3.  Smaller values of the switch penalty
(corresponding to more ancient admixture events) generally lead to the
reconstruction of more frequent changes between genotypes.

There are two output datasets generated.  A tabular dataset with chromosome,
start, stop, and pairs of columns containing the "genotypes" from above

21:d6b961721037

      "$arg"
    #end for
  </command>

  <inputs>
    <param name="input" type="data" format="gd_snp" label="SNP dataset">
      <validator type="unspecified_build" message="This dataset does not have a reference species and cannot be used with this tool" />
    </param>
    <param name="ap1_input" type="data" format="gd_indivs" label="Ancestral population 1 individuals" />
    <param name="ap2_input" type="data" format="gd_indivs" label="Ancestral population 2 individuals" />
    <param name="p_input" type="data" format="gd_indivs" label="Potentially admixed individuals" />

    <param name="data_source" type="select" format="integer" label="Similarity metric">
      <option value="0" selected="true">sequence coverage</option>
      <option value="1">estimated genotype</option>
    </param>

    <param name="switch_penalty" type="integer" min="0" value="10" label="Genotype switch penalty" help="Note: typically between 10 and 100."/>
  </inputs>

  <outputs>
    <data name="output" format="tabular" />
    <data name="output2" format="html" />

The user specifies two "ancestral" populations (i.e., sources for
chromosomes) and a set of potentially admixed individuals, and chooses
between the sequence coverage or the estimated genotypes to measure
the similarity of genomic intervals in admixed individuals to the two
classes of ancestral chromosomes.  The user also picks a "genotype switch penalty",
typically between 10 and 100.  For each potentially admixed individual,
the program divides the genome into three "genotypes": (0) homozygous
for the first ancestral population (i.e., both chromosomes from that
population), (1) heterozygous, or (2) homozygous for the second ancestral
population.  Parts of a chromosome that are labeled as "heterochromatic"
are given the non-genotype "3".  Smaller values of the switch penalty
(corresponding to more ancient admixture events) generally lead to the
reconstruction of more frequent changes between genotypes.

There are two output datasets generated.  A tabular dataset with chromosome,
start, stop, and pairs of columns containing the "genotypes" from above