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

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

Kumar, Rajnish; Yadav, Garima; Kuddus, Mohammed; Ashraf, Ghulam Md; Singh, Rachana.

Afiliação

Kumar R; Amity Institute of Biotechnology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India.
Yadav G; Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA.
Kuddus M; Amity Institute of Biotechnology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India.
Ashraf GM; Department of Biochemistry, College of Medicine, University of Hail, Hail, Saudi Arabia.
Singh R; Department of Medical Laboratory Sciences, College of Health Sciences, and Sharjah Institute for Medical Research, University of Sharjah, Sharjah , 27272, United Arab Emirates.

Environ Sci Pollut Res Int ; 30(17): 48929-48947, 2023 Apr.

Article em En | MEDLINE | ID: mdl-36920617

Assuntos

Inteligência Artificial; Microbiota; Metagenômica; Proteômica; DNA

Palavras-chave

Artificial intelligence; Deep learning; Machine learning; Metagenomics; Microbiology

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Microbiota Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia

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