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

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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https://doaj.org/article/2dbfd35eab264c17aa310891ba1970e6

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