A metabolomics approach to characterise and identify various Mycobacterium species

Journal of Microbiological Methods

Volumn 88, Issue 3, 2012, Pages 419-426

  Olivier, Ilse ^a   Loots, Du Toit ^a  

^a NORTH WEST UNIVERSITY   (South Africa)

Author keywords

Chemometrics; GC MS; Metabolomics; Tuberculosis

Indexed keywords

ARTICLE; BACTERIUM CULTURE; BACTERIUM IDENTIFICATION; BAYES THEOREM; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; GAS CHROMATOGRAPHY; INFORMATION PROCESSING; LIMIT OF DETECTION; MASS SPECTROMETRY; METABOLOMICS; MYCOBACTERIUM AVIUM; MYCOBACTERIUM BOVIS; MYCOBACTERIUM KANSASII; MYCOBACTERIUM TUBERCULOSIS; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; SPECIES DIFFERENCE; SPECIES DIFFERENTIATION; TUBERCULOSIS;

BACTERIOLOGICAL TECHNIQUES; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; HUMANS; METABOLOMICS; MODELS, STATISTICAL; MYCOBACTERIUM; MYCOBACTERIUM INFECTIONS;

MYCOBACTERIUM; MYCOBACTERIUM AVIUM; MYCOBACTERIUM BOVIS; MYCOBACTERIUM KANSASII; MYCOBACTERIUM TUBERCULOSIS;

EID: 84857232529     PISSN: 01677012     EISSN: 18728359     Source Type: Journal    
DOI: 10.1016/j.mimet.2012.01.012     Document Type: Article

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