HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes
Abstract Background The spread of antibiotic resistance has become one of the most urgent threats to global health, which is estimated to cause 700,000 deaths each year globally. Its surrogates, antibiotic resistance genes (ARGs), are highly transmittable between food, water, animal, and human to mi...
Main Authors: | Yu Li, Zeling Xu, Wenkai Han, Huiluo Cao, Ramzan Umarov, Aixin Yan, Ming Fan, Huan Chen, Carlos M. Duarte, Lihua Li, Pak-Leung Ho, Xin Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-02-01
|
Series: | Microbiome |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40168-021-01002-3 |
Similar Items
-
An updated review on how biochar may possess potential in soil ARGs control on aspects of source, fate and elimination
by: Haibo Li, et al.
Published: (2024-03-01) -
Alizarin enhancement of the abundance of ARGs and impacts on the microbial community in water
by: Hao Fang, et al.
Published: (2023-05-01) -
Selective pressure of antibiotics on ARGs and bacterial communities in manure-polluted freshwater-sediment microcosms
by: Wenguang eXiong, et al.
Published: (2015-03-01) -
Characteristics of and variation in airborne ARGs among urban hospitals and adjacent urban and suburban communities: A metagenomic approach
by: Peng He, et al.
Published: (2020-06-01) -
Profile of Bacteria with ARGs Among Real-World Samples from ICU Admission Patients with Pulmonary Infection Revealed by Metagenomic NGS
by: Chen H, et al.
Published: (2021-11-01)