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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Microbiome
Hauptverfasser: Arango-Argoty, Gustavo, Garner, Emily, Pruden, Amy, Heath, Lenwood S., Vikesland, Peter, Zhang, Liqing
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2018
Schlagworte:
Online Zugang: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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