期刊
JOURNAL OF PROTEOME RESEARCH
卷 3, 期 5, 页码 958-964出版社
AMER CHEMICAL SOC
DOI: 10.1021/pr0499491
关键词
protein identification; algorithm; bioinformatics; mass spectrometry; proteomics; significance testing
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.
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