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Computational Mass Spectrometry (Dagstuhl Seminar 15351)

Authors: Rudolf Aebersold, Oliver Kohlbacher, and Olga Vitek

Published in: Dagstuhl Reports, Volume 5, Issue 8 (2016)

Following in the steps of high-throughput sequencing, mass spectrometry (MS) has become established as a key analytical technique for large-scale studies of complex biological mixtures. MS-based experiments generate datasets of increasing complexity and size, and the rate of production of these datasets has exceeded Moore’s law. In recent years we have witnessed the growth of computational approaches to coping with this data deluge. The seminar 'Computational Mass Spectrometry' brought together mass spectrometrists, statisticians, computer scientists and biologists to discuss where the next set of computational and statistical challenges lie. The participants discussed emerging areas of research such as how to investigate questions in systems biology with the design and analysis of datasets both large in memory usage and number of features and include measurements from multiple ‘omics technologies.

Cite as

Rudolf Aebersold, Oliver Kohlbacher, and Olga Vitek. Computational Mass Spectrometry (Dagstuhl Seminar 15351). In Dagstuhl Reports, Volume 5, Issue 8, pp. 9-33, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2016)

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  author =	{Aebersold, Rudolf and Kohlbacher, Oliver and Vitek, Olga},
  title =	{{Computational Mass Spectrometry (Dagstuhl Seminar 15351)}},
  pages =	{9--33},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{5},
  number =	{8},
  editor =	{Aebersold, Rudolf and Kohlbacher, Oliver and Vitek, Olga},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-56765},
  doi =		{10.4230/DagRep.5.8.9},
  annote =	{Keywords: computational mass spectrometry, proteomics, metabolomics, bioinformatics}
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