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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...
Autores principales: | 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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890716/ https://www.ncbi.nlm.nih.gov/pubmed/28333355 http://dx.doi.org/10.1093/jac/dkx067 |
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