WGS to predict antibiotic MICs for Neisseria gonorrhoeae

BACKGROUND: Tracking the spread of antimicrobial-resistant Neisseria gonorrhoeae is a major priority for national surveillance programmes. OBJECTIVES: We investigate whether WGS and simultaneous analysis of multiple resistance determinants can be used to predict antimicrobial susceptibilities to the...

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Bibliografiske detaljer
Udgivet i:J Antimicrob Chemother
Main Authors: Eyre, David W., De Silva, Dilrini, Cole, Kevin, Peters, Joanna, Cole, Michelle J., Grad, Yonatan H., Demczuk, Walter, Martin, Irene, Mulvey, Michael R., Crook, Derrick W., Walker, A. Sarah, Peto, Tim E. A., Paul, John
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2017
Fag:
Original Research
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5890716/
https://ncbi.nlm.nih.gov/pubmed/28333355
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jac/dkx067
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