Identifying bacterial species using CE-MS and SEQUEST with an empirical scoring function

Electrophoresis

Volumn 28, Issue 9, 2007, Pages 1387-1392

  Hu, Anren ^a,b   Lo, Alan A L ^a   Chen, Cheng Tung ^a   Lin, Kuo Chih ^a   Ho, Yen Peng ^a  

^a NATIONAL DONG HWA UNIVERSITY   (Taiwan)

^b TZU CHI UNIVERSITY   (Taiwan)

Author keywords

Bacteria; CE; Database search; MS; Protein

Indexed keywords

DATABASE SYSTEMS; INFORMATION RETRIEVAL; PROTEINS; SEARCH ENGINES;

BACTERIAL CELLS; BACTERIAL SPECIES; BACTERIUM SPECIES; CE; CELL EXTRACTS; DATABASE SEARCHES; MS; MS/MS ANALYSIS; SCORING FUNCTIONS; SCORING SYSTEMS;

BACTERIA;

BACTERIAL PROTEIN; CELL EXTRACT;

AMINO ACID SEQUENCE; ARTICLE; BACILLUS SUBTILIS; BACTERIAL CELL; BACTERIUM IDENTIFICATION; CAPILLARY ELECTROPHORESIS; CONTROLLED STUDY; ENTEROCOCCUS FAECALIS; ESCHERICHIA COLI; LISTERIA MONOCYTOGENES; NONHUMAN; PROTEIN DATABASE; PROTEIN DEGRADATION; PSEUDOMONAS AERUGINOSA; SALMONELLA TYPHIMURIUM; SCORING SYSTEM; SEPARATION TECHNIQUE; SHIGELLA FLEXNERI; SPECIES IDENTIFICATION; STAPHYLOCOCCUS AUREUS; STAPHYLOCOCCUS EPIDERMIDIS; STREPTOCOCCUS AGALACTIAE; STREPTOCOCCUS MUTANS; STREPTOCOCCUS PNEUMONIAE; STREPTOCOCCUS PYOGENES; TANDEM MASS SPECTROMETRY; VIBRIO PARAHAEMOLYTICUS; XANTHOMONAS CAMPESTRIS;

EID: 34248152305     PISSN: 01730835     EISSN: 15222683     Source Type: Journal    
DOI: 10.1002/elps.200600637     Document Type: Article

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