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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Veröffentlicht in:	Journal of proteome research Jg. 7; H. 8; S. 3628
Hauptverfasser:	Lu, Bingwen, Ruse, Cristian I, Yates, 3rd, John R
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.08.2008
Schlagworte:	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
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