DagRep.5.8.9.pdf
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Computational Mass Spectrometry (Dagstuhl Seminar 15351)
Authors and all authors of the abstracts in this report
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Dagstuhl Reports, Volume 5, Issue 8
Volume: Dagstuhl Reports, Volume 5
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2016-01-15
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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)
https://doi.org/10.4230/DagRep.5.8.9
https://doi.org/10.4230/DagRep.5.8.9
Abstract
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.
Keywords
- computational mass spectrometry
- proteomics
- metabolomics
- bioinformatics
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