Unlocking the microbial studies through computational approaches: how far have we reached?-Reference-Cited by-同舟云学术

Unlocking the microbial studies through computational approaches: how far have we reached?

Published:2023-03-15 Issue:17 Volume:30 Page:48929-48947
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Kumar Rajnish,Yadav Garima,Kuddus Mohammed,Ashraf Ghulam Md,Singh Rachana^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-023-26220-0.pdf

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4. Arango-Argoty G, Garner E, Pruden A, Heath LS, Vikesland P, Zhang L (2018) DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data. Microbiome 6:23. https://doi.org/10.1186/s40168-018-0401-z

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