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Editorial: Computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume II
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206215/ https://www.ncbi.nlm.nih.gov/pubmed/37234531 http://dx.doi.org/10.3389/fmicb.2023.1203297 |
| _version_ | 1785046179083452416 |
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| author | Zhao, Qi Li, Jian Tay, Alfred Wang, Liang |
| author_facet | Zhao, Qi Li, Jian Tay, Alfred Wang, Liang |
| author_sort | Zhao, Qi |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10206215 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-102062152023-05-25 Editorial: Computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume II Zhao, Qi Li, Jian Tay, Alfred Wang, Liang Front Microbiol Microbiology Frontiers Media S.A. 2023-05-10 /pmc/articles/PMC10206215/ /pubmed/37234531 http://dx.doi.org/10.3389/fmicb.2023.1203297 Text en Copyright © 2023 Zhao, Li, Tay and Wang. 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 Zhao, Qi Li, Jian Tay, Alfred Wang, Liang Editorial: Computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume II |
| title | Editorial: Computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume II |
| title_full | Editorial: Computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume II |
| title_fullStr | Editorial: Computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume II |
| title_full_unstemmed | Editorial: Computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume II |
| title_short | Editorial: Computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume II |
| title_sort | editorial: computational predictions, dynamic tracking, and evolutionary analysis of antibiotic resistance through the mining of microbial genomes and metagenomic data, volume ii |
| topic | Microbiology |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206215/ https://www.ncbi.nlm.nih.gov/pubmed/37234531 http://dx.doi.org/10.3389/fmicb.2023.1203297 |
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