Editorial: Computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume II

Frontiers in Microbiology

Microbiology

Liang Wang¹  Qi Zhao²  Jian Li³  Alfred Tay⁴ 

[1] Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China;Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia;School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China;School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States;The Marshall Centre for Infectious Diseases, Research and Training, University of Western Australia, Perth, WA, Australia;

关键词: antibiotic resistance;    microbial genomes;    metagenomic data;    computational prediction;    evolutionary analysis;   

DOI  :  10.3389/fmicb.2023.1203297

 received in 2023-04-10, accepted in 2023-04-14,  发布年份 2023

来源: Frontiers

【 授权许可】

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Copyright © 2023 Zhao, Li, Tay and Wang.