Spectrum Fusion: Using Multiple Mass Spectra for De Novo Peptide Sequencing

被引：27

作者：

Datta, Ritendra ^{[1
]}

Bern, Marshall ^{[1
]}

机构：

[1] Xerox Corp, Palo Alto Res Ctr, Comp Sci Lab, Palo Alto, CA 94304 USA

来源：

JOURNAL OF COMPUTATIONAL BIOLOGY | 2009年 / 16卷 / 08期

关键词：

algorithms; combinatorial optimization; combinatorics; dynamic programming; machine learning; Markov chains; mass spectroscopy; statistics; ELECTRON-TRANSFER DISSOCIATION; PROTEIN IDENTIFICATION; SPECTROMETRY; ALGORITHM; DATABASE; PEAKS;

D O I：

10.1089/cmb.2009.0122

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We report on a new algorithm for combining the information from several mass spectra of the same peptide. The algorithm automatically learns peptide fragmentation patterns, so that it can handle spectra from any instrument and fragmentation technique. We demonstrate the utility of the algorithm, and the power of multiple spectra, by showing that combining pairs of spectra (one CID and one ETD) greatly improves de novo sequencing success rates.

引用

页码：1169 / 1182

页数：14

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