Development and validation of a spectral library searching method for peptide identification from MS/MS

Proteomics

Volumn 7, Issue 5, 2007, Pages 655-667

  Lam, Henry ^a   Deutsch, Eric W ^a   Eddes, James S ^a   Eng, Jimmy K ^a,b   King, Nichole ^a   Stein, Stephen E ^c   Aebersold, Ruedi ^a,d,e,f  

^a INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

^b Fred Hutchinson Cancer Research Center   (United States)

^c NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

^d ETH ZURICH   (Switzerland)

^e UNIVERSITY OF ZURICH   (Switzerland)

^f Institute of Molecular Systems Biology   (Switzerland)

Author keywords

Peptide identification by MS MS; Spectral library; Spectral similarity; Targeted proteomics

Indexed keywords

CYSTEINE;

ARTICLE; ERROR; INFORMATION PROCESSING; MASS SPECTROMETRY; MATHEMATICAL COMPUTING; METHODOLOGY; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; PROTEOMICS; QUALITY CONTROL; SACCHAROMYCES CEREVISIAE; SEARCH ENGINE; SEQUENCE DATABASE; SPECTRAST; VALIDATION PROCESS;

DATABASES, PROTEIN; PEPTIDES; PROTEOMICS; SACCHAROMYCES CEREVISIAE PROTEINS; SOFTWARE; TANDEM MASS SPECTROMETRY;

SACCHAROMYCES CEREVISIAE;

EID: 33947366516     PISSN: 16159853     EISSN: 16159861     Source Type: Journal    
DOI: 10.1002/pmic.200600625     Document Type: Article

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