ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network

Antibiotic resistance in bacteria limits the effect of corresponding antibiotics, and the classification of antibiotic resistance genes (ARGs) is important for the treatment of bacterial infections and for understanding the dynamics of microbial communities. Although several methods have been develo...

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Detalles Bibliográficos
Autores principales: Wang, Ziye, Li, Shuo, You, Ronghui, Zhu, Shanfeng, Zhou, Xianghong Jasmine, Sun, Fengzhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Methods Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341004/
https://www.ncbi.nlm.nih.gov/pubmed/34377977
http://dx.doi.org/10.1093/nargab/lqab066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341004/
https://www.ncbi.nlm.nih.gov/pubmed/34377977
http://dx.doi.org/10.1093/nargab/lqab066

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