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

Abstract 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 Dec...

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Autores principales:	Moses Effiong Ekpenyong, Mercy Ernest Edoho, Udoinyang Godwin Inyang, Faith-Michael Uzoka, Itemobong Samuel Ekaidem, Anietie Effiong Moses, Martins Ochubiojo Emeje, Youtchou Mirabeau Tatfeng, Ifiok James Udo, EnoAbasi Deborah Anwana, Oboso Edem Etim, Joseph Ikim Geoffery, Emmanuel Ambrose Dan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2dbfd35eab264c17aa310891ba1970e6
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A hybrid computational framework for intelligent inter-continent SARS-CoV-2 sub-strains characterization and prediction

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