Open AccessWGS to predict antibiotic MICs for Neisseria gonorrhoeae
Author(s) -
David W. Eyre,
Dilrini De Silva,
Kevin Cole,
Joanna Peters,
Michelle Cole,
Yonatan H. Grad,
Walter Demczuk,
Irene Martín,
Michael R. Mulvey,
Derrick W. Crook,
A. Sarah Walker,
Tim Peto,
John R. Paul
Publication year - 2017
Publication title -
journal of antimicrobial chemotherapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.124
H-Index - 194
eISSN - 1460-2091
pISSN - 0305-7453
DOI - 10.1093/jac/dkx067
Subject(s) - neisseria gonorrhoeae , microbiology and biotechnology , antibiotics , neisseriaceae , gonorrhea , neisseria , medicine , biology , virology , bacteria , genetics , human immunodeficiency virus (hiv)
Tracking the spread of antimicrobial-resistant Neisseria gonorrhoeae is a major priority for national surveillance programmes.
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