Tapping the potential of intact cell mass spectrometry with a combined data analytical approach applied to Yersinia spp.: Detection, differentiation and identification of Y. pestis

Systematic and Applied Microbiology

Volumn 34, Issue 1, 2011, Pages 12-19

  Wittwer, Matthias ^a   Heim, Jonas ^a   Schär, Martin ^a   Dewarrat, Gregoire ^a   Schürch, Nadia ^a  

^a SPIEZ LABORATORY   (Switzerland)

Author keywords

Bacterial typing; Intact cell mass spectroscopy; Multivariate statistics; Shrinkage discriminant analysis; Wavelet peak detection; Yersinia

Indexed keywords

BIOLOGICAL MARKER;

ANALYTIC METHOD; ARTICLE; BACTERIUM DETECTION; BACTERIUM IDENTIFICATION; CLASSIFICATION; CONTROLLED STUDY; DATA BASE; INTACT CELL MASS SPECTROMETRY; LEARNING ALGORITHM; MASS SPECTROMETRY; NONHUMAN; PRIORITY JOURNAL; SCORING SYSTEM; YERSINIA ENTEROCOLITICA; YERSINIA PESTIS; YERSINIA PSEUDOTUBERCULOSIS;

BACTERIOLOGICAL TECHNIQUES; CLUSTER ANALYSIS; DATABASES, FACTUAL; MODELS, STATISTICAL; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION; YERSINIA ENTEROCOLITICA; YERSINIA PESTIS; YERSINIA PSEUDOTUBERCULOSIS;

BACTERIA (MICROORGANISMS); YERSINIA; YERSINIA ENTEROCOLITICA; YERSINIA PESTIS; YERSINIA PSEUDOTUBERCULOSIS;

EID: 79951681215     PISSN: 07232020     EISSN: 16180984     Source Type: Journal    
DOI: 10.1016/j.syapm.2010.11.006     Document Type: Article

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