Add an AppStream file

<?xml version="1.0" encoding="UTF-8"?>

<component>

  <id>ee.geenivaramu.tools.gwama</id>

  <metadata_license>CC0-1.0</metadata_license>

  <project_license>BSD-3-Clause</project_license>

​  <developer_name>Reedik Mägi</developer_name>

  <name>GWAMA</name>

  <summary>Genome-Wide Association Meta Analysis</summary>

  <description>

    <p>

      GWAMA (Genome-Wide Association Meta Analysis) software performs

      meta-analysis of the results of GWA studies of binary or

      quantitative phenotypes. Fixed- and random-effect meta-analyses are

      performed for both directly genotyped and imputed SNPs using

      estimates of the allelic odds ratio and 95% confidence interval for

      binary traits, and estimates of the allelic effect size and standard

      error for quantitative phenotypes. GWAMA can be used for analysing

      the results of all different genetic models (multiplicative,

      additive, dominant, recessive). The software incorporates error

      trapping facilities to identify strand alignment errors and allele

      flipping, and performs tests of heterogeneity of effects between studies.

    </p>

  </description>

  <url type="homepage">https://www.geenivaramu.ee/en/tools/gwama</url>

  <categories>

​    <category>Science</category>

​    <category>Biology</category>

​    <category>ConsoleOnly</category>

​  </categories>

  <provides>

​    <binary>GWAMA</binary>

    <custom>

      <registry type="bio.tools">GWAMA</registry>

      <registry type="OMICtools">OMICS_00235</registry>

      <registry type="SciCrunch">SCR_006624</registry>

    </custom>

  </provides>

</component>