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          <dc:title>Computational Proteomics (Dagstuhl Seminar 19351)</dc:title>
          <dc:creator>Bandeira, Nuno</dc:creator>
          <dc:creator>Martens, Lennart</dc:creator>
          <dc:subject>computational biology</dc:subject>
          <dc:subject>computational mass spectrometry</dc:subject>
          <dc:subject>proteomics</dc:subject>
          <dc:description>This report documents the program and the outcomes of Dagstuhl Seminar 19351 ``Computational Proteomics''. The Seminar was originally built around four topics, identification and quantification of DIA data; algorithms for the analysis of protein cross-linking data; creating an online view on complete, browsable proteomes from public data; and detecting interesting biology from proteomics findings. These four topics were led to four correpsonding breakout sessions, which in turn led to five offshoot breakout sessions.&#13;
&#13;
The abstracts presented here first describe the four topic introduction talks, as well as a fifth, cross-cutting topic talk on bringin proteomics data into clinical trials. These talk abstracts are followed by one abstract each per breakout session, documenting that breakout's discussion and outcomes.&#13;
&#13;
An Executive Summary is also provided, which details the overall seminar structure, the relationship between the breakout sessions and topics, and the most important conclusions for the four topic-derived breakouts.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Nuno Bandeira and Lennart Martens</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 9, Issue 8 (2020)</dc:relation>
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          <dc:identifier>doi:10.4230/DagRep.9.8.70</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-117724</dc:identifier>
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          <dc:language>eng</dc:language>
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