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Open Mass Spectrometry Search Algorithm

Authors :
Lewis Y. Geer
Ming Xu
Stephen H. Bryant
Sanford P. Markey
Lukas Wagner
Dawn M. Maynard
Wenyao Shi
Jeffrey A. Kowalak
Xiaoyu Yang
Publication Year :
2004

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

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....eb841a42949c0f22e171c5eb708d7bac