DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data

DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data

Abstract Background Growing concerns about increasing rates of antibiotic resistance call for expanded and comprehensive global monitoring. Advancing methods for monitoring of environmental media (e.g., wastewater, agricultural waste, food, and water) is especially needed for identifying potential r...

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Bibliographic Details
Main Authors: Gustavo Arango-Argoty, Emily Garner, Amy Pruden, Lenwood S. Heath, Peter Vikesland, Liqing Zhang
Format: Article
Language:English
Published: BMC 2018-02-01
Series:Microbiome
Subjects:
Metagenomics
Antibiotic resistance
Deep learning
Machine learning
Online Access:http://link.springer.com/article/10.1186/s40168-018-0401-z

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http://link.springer.com/article/10.1186/s40168-018-0401-z

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