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Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification

By Aaron A. Klammer, Sheila M. Reynolds, Jeff A. Bilmes, Michael J. MacCoss and William Stafford Noble


Motivation: Tandem mass spectrometry (MS/MS) is an indispensable technology for identification of proteins from complex mixtures. Proteins are digested to peptides that are then identified by their fragmentation patterns in the mass spectrometer. Thus, at its core, MS/MS protein identification relies on the relative predictability of peptide fragmentation. Unfortunately, peptide fragmentation is complex and not fully understood, and what is understood is not always exploited by peptide identification algorithms

Topics: Ismb 2008 Conference Proceedings 19–23 July 2008, Toronto
Publisher: Oxford University Press
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Provided by: PubMed Central
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