Open Mass Spectrometry Search Algorithm
National Institute of Mental Health · National Institutes of Health · +1 more institution
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: protein identification • algorithm • bioinformatics • mass spectrometry • proteomics • significance testing
Citation impact
- FWCI
- 18.24
- Percentile
- 100%
- References
- 20
Authors
9- LYLewis Y. GeerCorresponding
National Institute of Mental Health, National Institutes of Health, National Center for Biotechnology Information
- SPSanford P. Markey
National Center for Biotechnology Information, National Institutes of Health, National Institute of Mental Health
- JAJeffrey A. Kowalak
National Institutes of Health, National Center for Biotechnology Information, National Institute of Mental Health
- LWLukas Wagner
National Institutes of Health, National Institute of Mental Health, National Center for Biotechnology Information
- MXMing Xu
National Institutes of Health, National Center for Biotechnology Information, National Institute of Mental Health
Topics & keywords
- Mass spectrometry
- Database search engine
- Matching (statistics)
- Computer science
- Algorithm
- Proteomics
- Mass spectrum
- Identification (biology)