Assessing host-specificity of Escherichia coli using a supervised learning logic-regression-based analysis of single nucleotide polymorphisms in intergenic regions

Molecular Phylogenetics and Evolution

Volumn 92, Issue , 2015, Pages 72-81

  Zhi, Shuai ^a   Li, Qiaozhi ^a   Yasui, Yutaka ^a   Edge, Thomas ^b   Topp, Edward ^c   Neumann, Norman F ^a,d  

^a UNIVERSITY OF ALBERTA   (Canada)

^b ENVIRONMENT CANADA   (Canada)

^c AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^d PROVINCIAL LABORATORY FOR PUBLIC HEALTH   (Canada)

Author keywords

E. coli; Host specificity; Intergenic sequences; Logic regression

Indexed keywords

ANIMALIA; BOS; CANIDAE; CANIS FAMILIARIS; CANIS LATRANS; CERVIDAE; ESCHERICHIA COLI;

BACTERIAL DNA; GENETIC MARKER; SPACER DNA;

ANIMAL; BOVINE; DNA SEQUENCE; DOG; ESCHERICHIA COLI; EVOLUTION; GENETIC MARKER; GENETIC SELECTION; GENETICS; HOST RANGE; HUMAN; LOGIC; REGRESSION ANALYSIS; REPRODUCIBILITY; SINGLE NUCLEOTIDE POLYMORPHISM; SUPERVISED MACHINE LEARNING;

ANIMALS; BIOLOGICAL EVOLUTION; CATTLE; DNA, BACTERIAL; DNA, INTERGENIC; DOGS; ESCHERICHIA COLI; GENETIC MARKERS; HOST SPECIFICITY; HUMANS; LOGIC; POLYMORPHISM, SINGLE NUCLEOTIDE; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SELECTION, GENETIC; SEQUENCE ANALYSIS, DNA; SUPERVISED MACHINE LEARNING;

EID: 84934285982     PISSN: 10557903     EISSN: 10959513     Source Type: Journal    
DOI: 10.1016/j.ympev.2015.06.007     Document Type: Article

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