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          <dc:title>Computational Metabolomics: Identification, Interpretation, Imaging (Dagstuhl Seminar 17491)</dc:title>
          <dc:creator>Alexandrov, Theodore</dc:creator>
          <dc:creator>Böcker, Sebastian</dc:creator>
          <dc:creator>Dorrestein, Pieter</dc:creator>
          <dc:creator>Schymanski, Emma</dc:creator>
          <dc:subject>algorithms</dc:subject>
          <dc:subject>bioinformatics</dc:subject>
          <dc:subject>cheminformatics</dc:subject>
          <dc:subject>computational mass spectrometry</dc:subject>
          <dc:subject>computational metabolomics</dc:subject>
          <dc:subject>databases</dc:subject>
          <dc:subject>imaging mass spectrometry</dc:subject>
          <dc:description>Metabolites are key players in almost all biological processes, and play&#13;
various functional roles providing energy, building blocks, signaling,&#13;
communication, and defense. Metabolites serve as clinical biomarkers for&#13;
detecting medical conditions such as cancer; small molecule drugs&#13;
account for 90% of prescribed therapeutics. Complete understanding of&#13;
biological systems requires detecting and interpreting the metabolome in&#13;
time and space. Following in the steps of high-throughput sequencing,&#13;
mass spectrometry (MS) has become established as a key analytical&#13;
technique for large-scale studies of complex metabolite mixtures.&#13;
MS-based experiments generate datasets of increasing complexity and size.&#13;
&#13;
The Dagstuhl Seminar on Computational Metabolomics brought together&#13;
leading experts from the experimental (analytical chemistry and biology)&#13;
and the computational (computer science and bioinformatics) side, to&#13;
foster the exchange of expertise needed to advance computational&#13;
metabolomics. The focus was on a dynamic schedule with overview talks&#13;
followed by break-out sessions, selected by the participants, covering&#13;
the whole experimental-computational continuum in mass spectrometry.&#13;
Particular focus in this seminar was given to imaging mass spectrometry&#13;
techniques that integrate a spacial component into the analysis, ranging&#13;
in scale from single cells to organs and organisms.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Theodore Alexandrov and Sebastian Böcker and Pieter Dorrestein and Emma Schymanski</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 7, Issue 12 (2018)</dc:relation>
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          <dc:identifier>doi:10.4230/DagRep.7.12.1</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-86740</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.12.1</dc:identifier>
          <dc:language>eng</dc:language>
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