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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Publishing Group 2021-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-93757-w

Internet

https://doi.org/10.1038/s41598-021-93757-w

Similar Items