Evaluation of a fully automated bioinformatics tool to predict antibiotic resistance from MRSA genomes

OBJECTIVES: The genetic prediction of phenotypic antibiotic resistance based on analysis of WGS data is becoming increasingly feasible, but a major barrier to its introduction into routine use is the lack of fully automated interpretation tools. Here, we report the findings of a large evaluation of...

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Detalles Bibliográficos
Autores principales: Kumar, Narender, Raven, Kathy E, Blane, Beth, Leek, Danielle, Brown, Nicholas M, Bragin, Eugene, Rhodes, Paul A, Parkhill, Julian, Peacock, Sharon J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177496/
https://www.ncbi.nlm.nih.gov/pubmed/32025709
http://dx.doi.org/10.1093/jac/dkz570

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177496/
https://www.ncbi.nlm.nih.gov/pubmed/32025709
http://dx.doi.org/10.1093/jac/dkz570

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