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...

Descripción completa

Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Original Research
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

Internet

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

Ejemplares similares