The statistical significance of protein identification results as a function of the number of protein sequences searched

Journal of Proteome Research

Volumn 3, Issue 5, 2004, Pages 979-982

  Eriksson, Jan ^a   Fenyö, David ^b,c  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^b Amersham Biosciences   (United States)

^c ROCKEFELLER UNIVERSITY   (United States)

Author keywords

Algorithm; Bioinformatics; Mass spectrometry; Peptide; Peptide mapping; Protein; Protein identification; Proteomics; Significance testing; Simulation

Indexed keywords

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROTEIN ANALYSIS; SIMULATION; STATISTICAL SIGNIFICANCE; TAXONOMY;

ALGORITHMS; ANIMALS; CAENORHABDITIS ELEGANS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, PROTEIN; HAEMOPHILUS INFLUENZAE; HUMANS; LEAST-SQUARES ANALYSIS; MASS SPECTROMETRY; MODELS, STATISTICAL; PEPTIDE FRAGMENTS; PROTEINS; PROTEOMICS; SACCHAROMYCES CEREVISIAE;

EID: 7044264957     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr0499343     Document Type: Article

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