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

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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Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: American Society for Microbiology 2021
Subjects:
Staphylococcus aureus
antimicrobial resistance
methicillin-resistant Staphylococcus aureus (MRSA)
whole-genome sequencing
Bayesian divergence analysis
supervised machine learning
Microbiology
QR1-502
Online Access:https://doaj.org/article/67058ffe639a4117b8033ccb8c443359
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