Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning

Genomic data analysis is a fundamental system for monitoring pathogen evolution and the outbreak of infectious diseases. Based on bioinformatics and deep learning, this study was designed to identify the genomic variability of SARS-CoV-2 worldwide and predict the impending mutation rate. Analysis of...

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Detalles Bibliográficos
Autores principales: Hossain, Md Shahadat, Pathan, A.Q.M. Sala Uddin, Islam, Md Nur, Tonmoy, Mahafujul Islam Quadery, Rakib, Mahmudul Islam, Munim, Md Adnan, Saha, Otun, Fariha, Atqiya, Reza, Hasan Al, Roy, Maitreyee, Bahadur, Newaz Mohammed, Rahaman, Md Mizanur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598266/
https://www.ncbi.nlm.nih.gov/pubmed/34812411
http://dx.doi.org/10.1016/j.imu.2021.100798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598266/
https://www.ncbi.nlm.nih.gov/pubmed/34812411
http://dx.doi.org/10.1016/j.imu.2021.100798

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