A computational method for assessing peptide-identification reliability in tandem mass spectrometry analysis with SEQUEST

Proteomics

Volumn 4, Issue 4, 2004, Pages 961-969

  Razumovskaya, Jane ^a   Olman, Victor ^a   Xu, Dong ^a   Uberbacher, Edward C ^a   VerBerkmoes, Nathan C ^a   Hettich, Robert L ^a   Xu, Ying ^a,b  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

^b University of Georgia ^*  (United States)

Author keywords

Identification; Mass spectrometry; Neural network; Reliability; SEQUEST

Indexed keywords

ALCOHOL DEHYDROGENASE; BOVINE SERUM ALBUMIN; CARBONATE DEHYDRATASE; FUNGAL ENZYME; HEMOGLOBIN A; HEMOGLOBIN BETA CHAIN; LYSOZYME; MYOGLOBIN; PROTEIN;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; DATA BASE; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; NONHUMAN; PEPTIDE ANALYSIS; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; RELIABILITY; TANDEM MASS SPECTROMETRY;

ALGORITHMS; ANIMALS; BACILLUS; CATTLE; CHICKENS; CHROMATOGRAPHY, HIGH PRESSURE LIQUID; COMPUTATIONAL BIOLOGY; ESCHERICHIA COLI; HORSES; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; RABBITS; SACCHAROMYCES CEREVISIAE; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; SPECTROMETRY, MASS, ELECTROSPRAY IONIZATION;

BOVINAE;

EID: 1842423492     PISSN: 16159853     EISSN: None     Source Type: Journal    
DOI: 10.1002/pmic.200300656     Document Type: Article

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