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

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 resources...

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Detalhes bibliográficos
Publicado no:Microbiome
Main Authors: Arango-Argoty, Gustavo, Garner, Emily, Pruden, Amy, Heath, Lenwood S., Vikesland, Peter, Zhang, Liqing
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5796597/
https://ncbi.nlm.nih.gov/pubmed/29391044
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40168-018-0401-z
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