Cargando…
Demonstrating a Comprehensive Wastewater-Based Surveillance Approach That Differentiates Globally Sourced Resistomes
[Image: see text] Wastewater-based surveillance (WBS) for disease monitoring is highly promising but requires consistent methodologies that incorporate predetermined objectives, targets, and metrics. Herein, we describe a comprehensive metagenomics-based approach for global surveillance of antibioti...
Autores principales: | Prieto Riquelme, Maria Virginia, Garner, Emily, Gupta, Suraj, Metch, Jake, Zhu, Ni, Blair, Matthew F., Arango-Argoty, Gustavo, Maile-Moskowitz, Ayella, Li, An-dong, Flach, Carl-Fredrik, Aga, Diana S., Nambi, Indumathi M., Larsson, D. G. Joakim, Bürgmann, Helmut, Zhang, Tong, Pruden, Amy, Vikesland, Peter J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631994/ https://www.ncbi.nlm.nih.gov/pubmed/35759608 http://dx.doi.org/10.1021/acs.est.1c08673 |
Ejemplares similares
-
Identification of discriminatory antibiotic resistance genes among environmental resistomes using extremely randomized tree algorithm
por: Gupta, Suraj, et al.
Publicado: (2019) -
Long-read metagenomic sequencing reveals shifts in associations of antibiotic resistance genes with mobile genetic elements from sewage to activated sludge
por: Dai, Dongjuan, et al.
Publicado: (2022) -
Nanobiotechnology enabled approaches for wastewater based epidemiology
por: Rahman, Asifur, et al.
Publicado: (2021) -
Evaluation of Metagenomic-Enabled Antibiotic Resistance Surveillance at a Conventional Wastewater Treatment Plant
por: Majeed, Haniyyah J., et al.
Publicado: (2021) -
DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data
por: Arango-Argoty, Gustavo, et al.
Publicado: (2018)