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        <identifier>oai:drops-oai.dagstuhl.de:537</identifier>
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          <dc:title>Software platforms for quantitative proteomics</dc:title>
          <dc:creator>Schulz-Trieglaff, Ole</dc:creator>
          <dc:subject>Proteomics</dc:subject>
          <dc:subject>mass spetrometry</dc:subject>
          <dc:subject>quantitative measurements</dc:subject>
          <dc:description>In recent years, it has become obvious that mRNA expression does not always&#13;
correlate with protein expression. It seems that a full&#13;
understanding of the complexity of life can only be obtained&#13;
by examining abundances of proteins under varying conditions. &#13;
Accurate measurements of these expression values is crucial.&#13;
This field of research also requires new computational efforts since the&#13;
data, often from mass spectrometry experiments, is very complex.&#13;
We present two academic software platforms that offer means &#13;
to reduce, analyse and compare protein expression data gained from&#13;
liquid chromatography coupled with mass spectrometry. We outline their methodology&#13;
and compare them to our own project, OpenMS,&#13;
which is currently developed in our research&#13;
group at the Free University Berlin in collaboration&#13;
with the Kohlbacher group at Tuebingen University.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ole Schulz-Trieglaff</dc:contributor>
          <dc:date>2006</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 5471, Computational Proteomics (2006)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/DagSemProc.05471.14</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-5376</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05471.14</dc:identifier>
          <dc:language>eng</dc:language>
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