A proposed framework for the identification of indicator genes for monitoring antibiotic resistance in wastewater: Insights from metagenomic sequencing-Reference-Cited by-同舟云学术

A proposed framework for the identification of indicator genes for monitoring antibiotic resistance in wastewater: Insights from metagenomic sequencing

Published:2023-01 Issue: Volume:854 Page:158698
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Tarek Mehedi Hasan,Garner Emily

Funder

West Virginia University

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference74 articles.

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3. DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data;Arango-Argoty;Microbiome,2018

4. Antimicrobal resistance: fecal sanitation strategies for combatting a global public health threat;Ashbolt,2018

5. New insights on the combined removal of antibiotics and ARGs in urban wastewater through the use of two configurations of vertical subsurface flow constructed wetlands;Ávila;Sci. Total Environ.,2021

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