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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| 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 |