A hybrid computational framework for intelligent inter-continent SARS-CoV-2 sub-strains characterization and prediction

Whereas accelerated attention beclouded early stages of the coronavirus spread, knowledge of actual pathogenicity and origin of possible sub-strains remained unclear. By harvesting the Global initiative on Sharing All Influenza Data (GISAID) database (https://www.gisaid.org/), between December 2019...

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Detalles Bibliográficos
Autores principales: Ekpenyong, Moses Effiong, Edoho, Mercy Ernest, Inyang, Udoinyang Godwin, Uzoka, Faith-Michael, Ekaidem, Itemobong Samuel, Moses, Anietie Effiong, Emeje, Martins Ochubiojo, Tatfeng, Youtchou Mirabeau, Udo, Ifiok James, Anwana, EnoAbasi Deborah, Etim, Oboso Edem, Geoffery, Joseph Ikim, Dan, Emmanuel Ambrose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282786/
https://www.ncbi.nlm.nih.gov/pubmed/34267263
http://dx.doi.org/10.1038/s41598-021-93757-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282786/
https://www.ncbi.nlm.nih.gov/pubmed/34267263
http://dx.doi.org/10.1038/s41598-021-93757-w

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