Challenges and opportunities for whole-genome sequencing–based surveillance of antibiotic resistance

Annals of the New York Academy of Sciences

Volumn 1388, Issue 1, 2017, Pages 108-120

  Schürch, Anita C ^a   van Schaik, Willem ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

antibiotic resistance; bioinformatics; genomics; Klebsiella pneumoniae; mcr 1

Indexed keywords

BACTERIAL PROTEIN; COLISTIN; MCR 1 PROTEIN; UNCLASSIFIED DRUG;

ANTIBIOTIC RESISTANCE; ARTICLE; BIOINFORMATICS; BIOSURVEILLANCE; COST EFFECTIVENESS ANALYSIS; DATA BASE; DNA SEQUENCE; DRUG SURVEILLANCE PROGRAM; GENETIC EPIDEMIOLOGY; GENOME ANALYSIS; HUMAN; ILLUMINA SEQUENCE; INFECTION CONTROL; KLEBSIELLA PNEUMONIAE; MULTIDRUG RESISTANCE; NONHUMAN; R FACTOR; SINGLE MOLECULE REAL TIME SEQUENCE; TIME; WHOLE GENOME SEQUENCING; ANIMAL; BACTERIAL GENOME; GENETICS; GENOME-WIDE ASSOCIATION STUDY; HIGH THROUGHPUT SEQUENCING; KLEBSIELLA INFECTIONS; PROCEDURES;

ANIMALS; DRUG RESISTANCE, BACTERIAL; GENOME, BACTERIAL; GENOME-WIDE ASSOCIATION STUDY; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; KLEBSIELLA INFECTIONS; KLEBSIELLA PNEUMONIAE;

EID: 85011385235     PISSN: 00778923     EISSN: 17496632     Source Type: Book Series    
DOI: 10.1111/nyas.13310     Document Type: Article

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