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 whole-genome sequencing, WGS, and simultaneous analysis of multiple resistance determinants can be used to predict antimicrobial susceptibilities to the level of minimum inhibitory concentrations, MICs, in N. gonorrhoeae. Methods: WGS was used to identify previously re... Expand abstract
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- Oxford University Press Publisher's website
- Journal of Antimicrobial Chemotherapy Journal website
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- Eyre et al.
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Copyright © 2017 The Authors. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
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