DBToolkit: Processing protein databases for peptide-centric proteomics

Bioinformatics

Volumn 21, Issue 17, 2005, Pages 3584-3585

  Martens, Lennart ^a   Vandekerckhove, Joël ^a   Gevaert, Kris ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

PEPTIDE FRAGMENT;

AMINO ACID SEQUENCE; AMINO TERMINAL SEQUENCE; ARTICLE; AUTOMATION; CARBOXY TERMINAL SEQUENCE; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER LANGUAGE; COMPUTER PROGRAM; HUMAN; HUMAN COMPUTER INTERACTION; INFORMATION PROCESSING; MASS SPECTROMETRY; PRIORITY JOURNAL; PROCESS OPTIMIZATION; PROTEIN DATABASE; PROTEOMICS; RELIABILITY; SEQUENCE ANALYSIS; SEQUENCE DATABASE;

EID: 24144480557     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti588     Document Type: Article

References (7)

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3. Gevaert,K. et al. (2003) Exploring proteomes and analyzing protein processing bymass spectrometric identification of sorted N-terminal peptides. Nat. Biotechnol., 21, 566-569.
4. Gevaert,K. et al. (2005) Diagonal reverse-phase chromatography applications in peptide-centric proteomics; ahead of catalogue-omics? Anal. Biochem., in press.
5. Kearney,P. and Thibault,P. (2003) Bioinformatics meets proteomics - bridging the gap between mass spectrometry data analysis and cell biology. J. Bioinform. Comput. Biol., 1, 183-200.
6. O'Farrell,P.H. (1975) High resolution two-dimensional electrophoresis of proteins. J. Biol. Chem., 250, 4007-4021.
7. Zhang,H. et al. (2004) Chemical probes and tandem mass spectrometry: A strategy for the quantitative analysis of proteomes and subproteomes. Curr. Opin. Chem. Biol., 8, 66-75.