WGS to predict antibiotic MICs for Neisseria gonorrhoeae

WGS to predict antibiotic MICs for Neisseria gonorrhoeae

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<strong>Background:</strong> Tracking the spread of antimicrobial resistant Neisseria gonorrhoeae is a major priority for national surveillance programmes. <strong>Objectives:</strong> We investigate whether whole-genome sequencing, WGS, and simultaneous analysis of multipl...

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Detalhes bibliográficos
Principais autores:	Eyre, D, De Silva, D, Cole, K, Peters, J, Cole, M, Grad, Y, Demczuk, W, Martin, I, Mulvey, M, Crook, D, Walker, A, Peto, T, Paul, J
Formato:	Journal article
Publicado em:	Oxford University Press 2017

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