Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data

Liang Wang; Alfred Chin Yen Tay; Jian Li; Qi Zhao

doi:10.3389/fmicb.2022.880967

Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data

Liang Wang, Alfred Chin Yen Tay, Jian Li, Qi Zhao

Marshall Centre

Research output: Contribution to journal › Editorial › peer-review

1 Citation (Scopus)

Original language	English
Article number	880967
Journal	Frontiers in Microbiology
Volume	13
DOIs	https://doi.org/10.3389/fmicb.2022.880967
Publication status	Published - 4 Apr 2022

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10.3389/fmicb.2022.880967Licence: CC BY

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title = "Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data",

keywords = "antibiotic resistance, computational predictions, evolutionary analysis, metagenomic data, microbial genomes",

author = "Liang Wang and Tay, {Alfred Chin Yen} and Jian Li and Qi Zhao",

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doi = "10.3389/fmicb.2022.880967",

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T2 - Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data

AU - Wang, Liang

AU - Tay, Alfred Chin Yen

AU - Li, Jian

AU - Zhao, Qi

PY - 2022/4/4

Y1 - 2022/4/4

KW - antibiotic resistance

KW - computational predictions

KW - evolutionary analysis

KW - metagenomic data

KW - microbial genomes

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AN - SCOPUS:85128472312

VL - 13

JO - Frontiers in Microbiology

JF - Frontiers in Microbiology

SN - 1664-302X

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ER -

Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data

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