Using WGS to identify antibiotic resistance genes and predict antimicrobial resistance phenotypes in MDR Acinetobacter baumannii in Tanzania

BACKGROUND: Reliable phenotypic antimicrobial susceptibility testing can be a challenge in clinical settings in low- and middle-income countries. WGS is a promising approach to enhance current capabilities. AIM: To study diversity and resistance determinants and to predict and compare resistance pat...

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Detalles Bibliográficos
Autores principales: Kumburu, Happiness H, Sonda, Tolbert, van Zwetselaar, Marco, Leekitcharoenphon, Pimlapas, Lukjancenko, Oksana, Mmbaga, Blandina T, Alifrangis, Michael, Lund, Ole, Aarestrup, Frank M, Kibiki, Gibson S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524488/
https://www.ncbi.nlm.nih.gov/pubmed/30843063
http://dx.doi.org/10.1093/jac/dkz055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524488/
https://www.ncbi.nlm.nih.gov/pubmed/30843063
http://dx.doi.org/10.1093/jac/dkz055

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