<metapackage xmlns:os="http://opensuse.org/Standards/One_Click_Install" xmlns="http://opensuse.org/Standards/One_Click_Install">
  <group>
    <repositories>
      <repository recommended="true">
        <name>science</name>
        <summary>Software for Scientists and Engineers</summary>
        <description>This project provides software for engineering and natural science.
http://en.opensuse.org/Portal:Science

If you like to help to maintain the repository, please contact the respective maintainer:
http://en.opensuse.org/openSUSE:Science_team

For electrical engineering see electronics project:
https://build.opensuse.org/project/show/electronics</description>
        <url>https://download.opensuse.org/repositories/science/16.0/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE:Backports:SLE-16.0</name>
        <summary>Community packages for SLE-16.0</summary>
        <description>Community packages for SLE-16.0</description>
        <url>https://download.opensuse.org/repositories/openSUSE:/Backports:/SLE-16.0/standard/</url>
      </repository>
      <repository recommended="false">
        <name>SUSE:SLFO:1.2</name>
        <summary>SLFO 1.2 (the base for openSUSE 16.0 and SLES 16.0)</summary>
        <description></description>
        <url>https://download.opensuse.org/repositories/SUSE:/SLFO:/1.2/standard/</url>
      </repository>
    </repositories>
    <software>
      <item>
        <name>hmmer</name>
        <summary>Sequence homology search software</summary>
        <description>HMMER is used for searching sequence databases for homologs of protein sequences,
and for making protein sequence alignments. It implements methods using
probabilistic models called “profile hidden Markov models” (profile HMMs).

Compared to BLAST, FASTA, and other sequence alignment and database search tools
based on older scoring methodology, HMMER aims to be significantly more accurate
and more able to detect remote homologs because of the strength of its underlying
 mathematical models. In the past, this strength came at significant computational
 expense, but in the new HMMER3 project, HMMER is now essentially as fast as BLAST.</description>
      </item>
    </software>
  </group>
</metapackage>
