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Prediction of Antimicrobial Resistance in Gram-Negative Bacteria From Whole-Genome Sequencing Data
BACKGROUND: Early detection of antimicrobial resistance in pathogens and prescription of more effective antibiotics is a fast-emerging need in clinical practice. High-throughput sequencing technology, such as whole genome sequencing (WGS), may have the capacity to rapidly guide the clinical decision...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7262952/ https://www.ncbi.nlm.nih.gov/pubmed/32528441 http://dx.doi.org/10.3389/fmicb.2020.01013 |