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Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014298/ https://www.ncbi.nlm.nih.gov/pubmed/35444627 http://dx.doi.org/10.3389/fmicb.2022.880967 |
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author | Wang, Liang Tay, Alfred Chin Yen Li, Jian Zhao, Qi |
author_facet | Wang, Liang Tay, Alfred Chin Yen Li, Jian Zhao, Qi |
author_sort | Wang, Liang |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9014298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90142982022-04-19 Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data Wang, Liang Tay, Alfred Chin Yen Li, Jian Zhao, Qi Front Microbiol Microbiology Frontiers Media S.A. 2022-04-04 /pmc/articles/PMC9014298/ /pubmed/35444627 http://dx.doi.org/10.3389/fmicb.2022.880967 Text en Copyright © 2022 Wang, Tay, Li and Zhao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Wang, Liang Tay, Alfred Chin Yen Li, Jian Zhao, Qi Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data |
title | Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data |
title_full | Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data |
title_fullStr | Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data |
title_full_unstemmed | Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data |
title_short | Editorial: Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data |
title_sort | editorial: computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014298/ https://www.ncbi.nlm.nih.gov/pubmed/35444627 http://dx.doi.org/10.3389/fmicb.2022.880967 |
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