Article

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

2017-06-12

Abstract excerpt

<h4>ABSTRACT</h4> Growing concerns regarding increasing rates of antibiotic resistance call for global monitoring efforts. Monitoring of environmental media (e.g., wastewater, agricultural waste, food, and water) is of particular interest as these media can serve as sources of potential novel antibiotic resistance genes (ARGs), as hot spots for ARG exchange, and as pathways for the spread of ARGs and human exposu...

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Literature Corpus work: 7dd9e0e3-21f3-5625-98ca-9ea34bbfbb92
DOI: 10.1101/149328

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