Improving peptide identification in proteome analysis by a two-dimensional retention time filtering approach

Journal of Proteome Research

Volumn 8, Issue 8, 2009, Pages 4109-4115

  Pfeifer, Nico ^a   Leinenbach, Andreas ^b,c   Huber, Christian G ^c   Kohlbacher, Oliver ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b SAARLAND UNIVERSITY   (Germany)

^c UNIVERSITY OF SALZBURG   (Austria)

Author keywords

Proteome analysis; Retention time prediction; Sorangium cellulosum; Statistical learning; Tandem mass spectrometry; Two dimensional separation

Indexed keywords

AMINO ACID SEQUENCE; ARTICLE; CELL LYSATE; FILTRATION; FRAGMENTATION REACTION; LEARNING ALGORITHM; MASS SPECTROMETRY; MOLECULAR WEIGHT; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEOMICS; REVERSED PHASE HIGH PERFORMANCE LIQUID CHROMATOGRAPHY;

ARTIFICIAL INTELLIGENCE; CHROMATOGRAPHY, HIGH PRESSURE LIQUID; HYDROGEN-ION CONCENTRATION; MYXOCOCCALES; PEPTIDE FRAGMENTS; PEPTIDES; PROTEOMICS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; TANDEM MASS SPECTROMETRY; TIME FACTORS;

POLYANGIUM CELLULOSUM;

EID: 68549125514     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr900064b     Document Type: Article

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