Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling

Journal of Proteome Research

Volumn 7, Issue 1, 2008, Pages 286-292

  Choi, Hyungwon ^a   Ghosh, Debashis ^b   Nesvizhskii, Alexey I ^c  

^a UNIVERSITY OF MICHIGAN   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Decoy sequences; Mass spectrometry; Peptide identification; Protein sequence database searching; Semisupervised modeling; Statistical validation

Indexed keywords

PEPTIDE; PROTEIN; PROTEOME;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; COMPUTER PROGRAM; DATA BASE; FOURIER TRANSFORM MASS SPECTROMETRY; ION TRAP MASS SPECTROMETRY; MASS SPECTROMETER; MOLECULAR MODEL; PARAMETRIC TEST; PEPTIDE ANALYSIS; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; PROTEOMICS; RELIABILITY; SEARCH ENGINE; TANDEM MASS SPECTROMETRY; VALIDATION STUDY;

COMPLEX MIXTURES; DATABASES, PROTEIN; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; PEPTIDES; PROTEOMICS; SOFTWARE; TANDEM MASS SPECTROMETRY;

EID: 38649083116     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr7006818     Document Type: Article

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