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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Detaylı Bibliyografya
Yayımlandı:Microbiome
Asıl Yazarlar: Arango-Argoty, Gustavo, Garner, Emily, Pruden, Amy, Heath, Lenwood S., Vikesland, Peter, Zhang, Liqing
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2018
Konular:
Software
Online Erişim: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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