Typing Staphylococcus aureus using the spa gene and novel distance measures

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 4, Issue 4, 2007, Pages 693-704

  Agius, Phaedra ^a   Kreiswirth, Barry N ^b   Naidich, Steve ^c   Bennett, Kristin P ^d  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b PUBLIC HEALTH RESEARCH INSTITUTE   (United States)

^c eGenomics   (United States)

^d RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Clustering; Genotyping; Molecular epidemiology; Sequence algorithms; Staphylococcus aureus

Indexed keywords

DRUG RESISTANT STRAINS; GENOTYPE DATA; GENOTYPING; HUMAN HEALTH THREAT; HYBRID SEQUENCE ALGORITHMS; MOLECULAR EPIDEMIOLOGY; SEQUENCE ALGORITHMS; SPA GENES; STAPHYLOCOCCUS AUREUS;

ALGORITHMS; CLUSTER ANALYSIS; EPIDEMIOLOGY; GENES; UNSUPERVISED LEARNING;

BACTERIA;

BACTERIA (MICROORGANISMS); STAPHYLOCOCCUS AUREUS;

ALGORITHM; ARTICLE; BACTERIUM IDENTIFICATION; BIOLOGICAL MODEL; BIOLOGY; CLUSTER ANALYSIS; COMPUTER PROGRAM; DNA MICROARRAY; EPIDEMIOLOGY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; GENOTYPE; METHODOLOGY; PROTEIN ANALYSIS; REPRODUCIBILITY; STAPHYLOCOCCUS AUREUS; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; BACTERIAL TYPING TECHNIQUES; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; EPIDEMIOLOGY, MOLECULAR; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, BACTERIAL; GENOTYPE; MODELS, GENETIC; MODELS, STATISTICAL; MODELS, THEORETICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEIN INTERACTION MAPPING; REPRODUCIBILITY OF RESULTS; SOFTWARE; STAPHYLOCOCCUS AUREUS;

EID: 36248974669     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/tcbb.2007.1053     Document Type: Conference Paper

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