Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning
- DOI
- 10.1016/j.imu.2021.100798
- Published
- 2021
- Container
- Informatics in Medicine Unlocked
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.imu.2021.100798,
title = {Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning},
author = {Md Shahadat Hossain and A.Q.M. Sala Uddin Pathan and Md Nur Islam and Mahafujul Islam Quadery Tonmoy and Mahmudul Islam Rakib and Md Adnan Munim and Otun Saha and Atqiya Fariha and Hasan Al Reza and Maitreyee Roy and Newaz Mohammed Bahadur and Md Mizanur Rahaman},
year = {2021},
journal = {Informatics in Medicine Unlocked},
doi = {10.1016/j.imu.2021.100798},
url = {https://doi.org/10.1016/j.imu.2021.100798}
}RIS
TY - JOUR TI - Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning AU - Md Shahadat Hossain AU - A.Q.M. Sala Uddin Pathan AU - Md Nur Islam AU - Mahafujul Islam Quadery Tonmoy AU - Mahmudul Islam Rakib AU - Md Adnan Munim AU - Otun Saha AU - Atqiya Fariha AU - Hasan Al Reza AU - Maitreyee Roy AU - Newaz Mohammed Bahadur AU - Md Mizanur Rahaman PY - 2021 JO - Informatics in Medicine Unlocked DO - 10.1016/j.imu.2021.100798 UR - https://doi.org/10.1016/j.imu.2021.100798 ER -
APA
Hossain, M. S., Pathan, A. S. U., Islam, M. N., Tonmoy, M. I. Q., Rakib, M. I., Munim, M. A., Saha, O., Fariha, A., Reza, H. A., Roy, M., Bahadur, N. M., & Rahaman, M. M. (2021). Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning. Informatics in Medicine Unlocked. https://doi.org/10.1016/j.imu.2021.100798
Source records
- crossref · retrieved 2026-09-26T13:31:03.112Z