Open mass spectrometry search algorithm

被引：1070

作者：

Geer, LY ^{[1
]}

Markey, SP

Kowalak, JA

Wagner, L

Xu, M

Maynard, DM

Yang, XY

Shi, WY

Bryant, SH

机构：

[1] Natl Lib Med, Natl Ctr Biotechnol Informat, NIH, Bethesda, MD 20894 USA

[2] NIMH, Lab Neurotoxicol, NIH, Bethesda, MD 20892 USA

来源：

JOURNAL OF PROTEOME RESEARCH | 2004年 / 3卷 / 05期

关键词：

protein identification; algorithm; bioinformatics; mass spectrometry; proteomics; significance testing;

D O I：

10.1021/pr0499491

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Large numbers of MS/MS peptide spectra generated in proteomics experiments require efficient, sensitive and specific algorithms for peptide identification. In the Open Mass Spectrometry Search Algorithm (OMSSA), specificity is calculated by a classic probability score using an explicit model for matching experimental spectra to sequences. At default thresholds, OMSSA matches more spectra from a standard protein cocktail than a comparable algorithm. OMSSA is designed to be faster than published algorithms in searching large MS/MS datasets.

引用

页码：958 / 964

页数：7

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