Colander: a probability-based support vector machine algorithm for automatic screening for CID spectra of phosphopeptides prior to database search

We developed a probability-based machine-learning program, Colander, to identify tandem mass spectra that are highly likely to represent phosphopeptides prior to database search. We identified statistically significant diagnostic features of phosphopeptide tandem mass spectra based on ion trap CID M...

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Bibliographic Details

Published in:	Journal of proteome research Vol. 7; no. 8; p. 3628
Main Authors:	Lu, Bingwen, Ruse, Cristian I, Yates, 3rd, John R
Format:	Journal Article
Language:	English
Published:	United States 01.08.2008
Subjects:	Algorithms Chromatography, Liquid Databases, Factual Pattern Recognition, Automated Phosphopeptides - analysis Phosphorylation Probability Saccharomyces cerevisiae - metabolism Saccharomyces cerevisiae Proteins - analysis Tandem Mass Spectrometry
ISSN:	1535-3893
Online Access:	Get more information
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