MSblender: A probabilistic approach for integrating peptide identifications from multiple database search engines

Journal of Proteome Research

Volumn 10, Issue 7, 2011, Pages 2949-2958

  Kwon, Taejoon ^a   Choi, Hyungwon ^b   Vogel, Christine ^a,c   Nesvizhskii, Alexey I ^d   Marcotte, Edward M ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c NEW YORK UNIVERSITY   (United States)

^d UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; LIMIT OF QUANTITATION; MASS SPECTROMETRY; MSBLENDER; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DATABASE; PROTEIN INTERACTION; SCORING SYSTEM; SEARCH ENGINE; SENSITIVITY ANALYSIS; STATISTICAL SIGNIFICANCE; SYSTEM ANALYSIS; YEAST;

ALGORITHMS; DATABASES, PROTEIN; ESCHERICHIA COLI; ESCHERICHIA COLI PROTEINS; HUMANS; MODELS, STATISTICAL; PEPTIDES; PROBABILITY; PROTEOMICS; RESEARCH DESIGN; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SEARCH ENGINE; SOFTWARE; TANDEM MASS SPECTROMETRY;

EID: 79959942025     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr2002116     Document Type: Article

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