Open Mass Spectrometry Search Algorithm

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.

Keywords

Mass spectrometryDatabase search engineMatching (statistics)Computer scienceAlgorithmProteomicsMass spectrumIdentification (biology)ChemistrySearch engineMathematicsChromatographyInformation retrievalStatisticsBiology

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Publication Info

Year: 2004
Type: article
Volume: 3
Issue: 5
Pages: 958-964
Citations: 1408
Access: Closed

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APA Style

                            
                                
                                    Lewis Y. Geer, 
                                
                                    Sanford P. Markey, 
                                
                                    Jeffrey A. Kowalak
                                
                                et al.
                            
                            (2004). 
                            Open Mass Spectrometry Search Algorithm. 
                            Journal of Proteome Research
                            , 3
                            (5)
                            , 958-964.
                            https://doi.org/10.1021/pr0499491
                        

Identifiers

DOI: 10.1021/pr0499491