dc.creator | Cuadrat, Rafael R. C. | |
dc.creator | Sorokina, Maria | |
dc.creator | Andrade, Bruno G. | |
dc.creator | Goris, Tobias | |
dc.creator | Dávila, Alberto M. R. | |
dc.date | 2020-07-13T18:32:20Z | |
dc.date | 2020-07-13T18:32:20Z | |
dc.date | 2020 | |
dc.date.accessioned | 2023-09-26T23:15:16Z | |
dc.date.available | 2023-09-26T23:15:16Z | |
dc.identifier | CUADRAT, Rafael R. C. et al. Global ocean resistome revealed: Exploring antibiotic resistance gene abundance and distribution in TARA Oceans samples. Giga Science, v. 9, p. 1-12, 2020. | |
dc.identifier | 2047-217X | |
dc.identifier | https://www.arca.fiocruz.br/handle/icict/42231 | |
dc.identifier | 10.1093/gigascience/giaa046 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8888537 | |
dc.description | The rise of antibiotic resistance (AR) in clinical settings is of great concern. Therefore, the understanding of AR mechanisms, evolution, and global distribution is a priority for patient survival. Despite all efforts in the elucidation of AR mechanisms in clinical strains, little is known about its prevalence and evolution in environmental microorganisms. We used 293 metagenomic samples from the TARA Oceans project to detect and quantify environmental antibiotic resistance genes (ARGs) using machine learning tools. | |
dc.format | application/pdf | |
dc.language | eng | |
dc.publisher | Oxford University Press | |
dc.rights | open access | |
dc.subject | Abundância de ARGs | |
dc.subject | Diversidade | |
dc.subject | Amostras metagenômicas | |
dc.subject | Projeto TARA Oceans | |
dc.subject | Diversity | |
dc.subject | Abundance of ARGs | |
dc.subject | TARA Oceans project | |
dc.subject | Global ocean metagenome | |
dc.title | Global ocean resistome revealed: Exploring antibiotic resistance gene abundance and distribution in TARA Oceans samples | |
dc.type | Article | |