<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://data.ub.uni-muenchen.de/id/eprint/183'>
    <eprintid>183</eprintid>
    <rev_number>17</rev_number>
    <documents>
      <document id='https://data.ub.uni-muenchen.de/id/document/1089'>
        <docid>1089</docid>
        <rev_number>3</rev_number>
        <files>
          <file id='https://data.ub.uni-muenchen.de/id/file/4350'>
            <fileid>4350</fileid>
            <datasetid>document</datasetid>
            <objectid>1089</objectid>
            <filename>all_genomes_andMMETS_16032020.fasta</filename>
            <mime_type>text/plain</mime_type>
            <hash>902f0bff087c8ce2712099fa424af705</hash>
            <hash_type>MD5</hash_type>
            <filesize>31370894461</filesize>
            <mtime>2020-04-22 07:04:10</mtime>
            <url>https://data.ub.uni-muenchen.de/183/1/all_genomes_andMMETS_16032020.fasta</url>
          </file>
        </files>
        <eprintid>183</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>text/plain</mime_type>
        <format>text/plain</format>
        <formatdesc>This is the database of predicted proteins used in the study published in doi.org/10.1101/2020.03.26.009324</formatdesc>
        <language>en</language>
        <security>public</security>
        <main>all_genomes_andMMETS_16032020.fasta</main>
        <content>published</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>270</userid>
    <dir>disk0/00/00/01/83</dir>
    <datestamp>2020-04-22 07:55:07</datestamp>
    <lastmod>2023-03-21 12:44:47</lastmod>
    <status_changed>2020-04-22 07:55:07</status_changed>
    <type>data</type>
    <metadata_visibility>show</metadata_visibility>
    <abstract>
      <item>
        <name>This is the database of predicted proteins containing SEED, MMETSP, and RefSeq used in publications of metagenomic and metatranscriptomic datasets (doi.org/10.1038/s41564-019-0630-3, doi.org/10.1038/s41564-017-0047-9, doi.org/10.1101/2020.03)</name>
        <lang>eng</lang>
      </item>
    </abstract>
    <creators>
      <item>
        <name>
          <family>Orsi</family>
          <given>William D.</given>
        </name>
      </item>
    </creators>
    <date>2020-04-20</date>
    <ddc>
      <item>500</item>
      <item>570</item>
    </ddc>
    <doi>10.5282/ubm/data.183</doi>
    <doi_url>https://doi.org/10.5282/ubm/data.183</doi_url>
    <edition>1st edition</edition>
    <full_text_status>public</full_text_status>
    <keywords>
      <item>metaomics</item>
      <item>proteins</item>
    </keywords>
    <language>en</language>
    <license>cc-by-nc-nd</license>
    <maintainer>
      <item>
        <name>
          <family>Orsi</family>
          <given>William D.</given>
        </name>
      </item>
    </maintainer>
    <referencetext>Anaerobic metabolism of Foraminifera thriving below the seafloor. William D. Orsi, Raphaël Morard, Aurele Vuillemin, Michael Eitel, Gert Wörheide, Jana Milucka, Michal Kucera
doi: https://doi.org/10.1101/2020.03.26.009324</referencetext>
    <subjects>
      <item>fak20</item>
    </subjects>
    <title>MetaProt: an integrated database of predicted proteins for improved annotation of metaomic datasets</title>
  </eprint>
</eprints>
