| Literature DB >> 15473683 |
Lewis Y Geer1, Sanford P Markey, Jeffrey A Kowalak, Lukas Wagner, Ming Xu, Dawn M Maynard, Xiaoyu Yang, Wenyao Shi, Stephen H Bryant.
Abstract
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.Mesh：
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Year: 2004 PMID： 15473683 DOI： 10.1021/pr0499491
Source DB: PubMed Journal: J Proteome Res ISSN： 1535-3893 Impact factor: 4.466