Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning

MOTIVATION: Antimicrobial resistance (AMR) is one of the biggest global problems threatening human and animal health. Rapid and accurate AMR diagnostic methods are thus very urgently needed. However, traditional antimicrobial susceptibility testing (AST) is time-consuming, low throughput and viable...

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Detalles Bibliográficos
Autores principales: Ren, Yunxiao, Chakraborty, Trinad, Doijad, Swapnil, Falgenhauer, Linda, Falgenhauer, Jane, Goesmann, Alexander, Hauschild, Anne-Christin, Schwengers, Oliver, Heider, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722762/
https://www.ncbi.nlm.nih.gov/pubmed/34613360
http://dx.doi.org/10.1093/bioinformatics/btab681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722762/
https://www.ncbi.nlm.nih.gov/pubmed/34613360
http://dx.doi.org/10.1093/bioinformatics/btab681

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