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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Detalles Bibliográficos
Autores principales: Arango-Argoty, Gustavo, Garner, Emily, Pruden, Amy, Heath, Lenwood S., Vikesland, Peter, Zhang, Liqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796597/
https://www.ncbi.nlm.nih.gov/pubmed/29391044
http://dx.doi.org/10.1186/s40168-018-0401-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796597/
https://www.ncbi.nlm.nih.gov/pubmed/29391044
http://dx.doi.org/10.1186/s40168-018-0401-z

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