Efficient marginalization to compute protein posterior probabilities from shotgun mass spectrometry data

Journal of Proteome Research

Volumn 9, Issue 10, 2010, Pages 5346-5357

  Serang, Oliver ^a   MacCoss, Michael J ^a   Noble, William Stafford ^a,b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b University of Washington   (United States)

Author keywords

Bayesian methods; degenerate peptides; protein identification; tandem mass spectrometry

Indexed keywords

PEPTIDE; PROTEIN;

ALGORITHM; ARTICLE; BAYES THEOREM; CAENORHABDITIS ELEGANS; HAEMOPHILUS INFLUENZAE; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; PROTEIN PROCESSING; PROTEOMICS; SACCHAROMYCES CEREVISIAE; TANDEM MASS SPECTROMETRY;

ALGORITHMS; ANIMALS; BACTERIAL PROTEINS; BAYES THEOREM; CAENORHABDITIS ELEGANS; CAENORHABDITIS ELEGANS PROTEINS; HAEMOPHILUS INFLUENZAE; MASS SPECTROMETRY; PROBABILITY; PROTEINS; PROTEOMICS; REPRODUCIBILITY OF RESULTS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS;

EID: 77957339566     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr100594k     Document Type: Article

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