Whole-Genome Sequencing and Machine Learning Analysis of <named-content content-type="genus-species">Staphylococcus aureus</named-content> from Multiple Heterogeneous Sources in China Reveals Common Genetic Traits of Antimicrobial Resistance

ABSTRACT Staphylococcus aureus is a worldwide leading cause of numerous diseases ranging from food-poisoning to lethal infections. Methicillin-resistant S. aureus (MRSA) has been found capable of acquiring resistance to most antimicrobials. MRSA is ubiquitous and diverse even in terms of antimicrobi...

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Autores principales:	Wei Wang, Michelle Baker, Yue Hu, Jin Xu, Dajin Yang, Alexandre Maciel-Guerra, Ning Xue, Hui Li, Shaofei Yan, Menghan Li, Yao Bai, Yinping Dong, Zixin Peng, Jinjing Ma, Fengqin Li, Tania Dottorini
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2021
Materias:	Staphylococcus aureus antimicrobial resistance methicillin-resistant Staphylococcus aureus (MRSA) whole-genome sequencing Bayesian divergence analysis supervised machine learning Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/67058ffe639a4117b8033ccb8c443359
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Whole-Genome Sequencing and Machine Learning Analysis of <named-content content-type="genus-species">Staphylococcus aureus</named-content> from Multiple Heterogeneous Sources in China Reveals Common Genetic Traits of Antimicrobial Resistance

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