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RScore: a peptide randomicity score for evaluating tandem mass spectra
Author(s) -
Li Fuxin,
Sun Wei,
Gao Youhe,
Wang Jue
Publication year - 2004
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/rcm.1535
Subject(s) - chemistry , false positive paradox , tandem mass spectrometry , tandem , peptide , chromatography , mass spectrometry , artificial intelligence , computer science , biochemistry , materials science , composite material
RScore, a new criterion of randomicity for evaluating tandem mass (MS/MS) spectra, is described. RScore is defined as the relative quality in cross‐correlation and matched intensity percentage of a potentially positive peptide to those of other possible candidates for the same spectrum. By utilizing RScore combined with less stringent SEQUEST score filters, the number of true positive peptides can be increased and the number of false positives in datasets from a known protein mixture can be reduced compared with current SEQUEST parameters used alone. This algorithm is simple and adds little overheads to SEQUEST computation. Copyright © 2004 John Wiley & Sons, Ltd.