Identification of Enterobacter sakazakii from closely related species: The use of Artificial Neural Networks in the analysis of biochemical and 16S rDNA data

BMC Microbiology

Volumn 6, Issue , 2006, Pages

  Iversen, Carol ^a   Lancashire, Lee ^a   Waddington, Michael ^b   Forsythe, Stephen ^a   Ball, Graham ^a,c  

^a NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^b Accugenix   (United States)

^c NESTLÉ RESEARCH CENTER   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ALPHA GLUCOSIDASE; RIBOSOME DNA; RNA 16S; BACTERIAL DNA;

ARTICLE; ARTIFICIAL MILK; ARTIFICIAL NEURAL NETWORK; BACTERIAL STRAIN; BACTERIUM IDENTIFICATION; CHEMICAL ANALYSIS; COMPUTER ANALYSIS; ENTEROBACTER SAKAZAKII; ENTEROBACTERIACEAE; GENOTYPE; NONHUMAN; NUCLEOTIDE SEQUENCE; PHENOTYPE; PROTEIN EXPRESSION; CLASSIFICATION; CRONOBACTER SAKAZAKII; ENZYMOLOGY; GENE EXPRESSION REGULATION; GENETICS; PHYLOGENY;

BACTERIA (MICROORGANISMS); ENTEROBACTER SAKAZAKII; ENTEROBACTERIACEAE;

ALPHA-GLUCOSIDASES; CRONOBACTER SAKAZAKII; DNA, BACTERIAL; GENE EXPRESSION REGULATION, ENZYMOLOGIC; GENOTYPE; NEURAL NETWORKS (COMPUTER); PHENOTYPE; PHYLOGENY; RNA, RIBOSOMAL, 16S;

EID: 33645505555     PISSN: 14712180     EISSN: 14712180     Source Type: Journal    
DOI: 10.1186/1471-2180-6-28     Document Type: Article

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