Sequence signatures within the genome of SARS-CoV-2 can be used to predict host source

Sequence signatures within the genome of SARS-CoV-2 can be used to predict host source

ABSTRACTWe conducted an in silico analysis to better understand the potential factors impacting host adaptation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in white-tailed deer, humans, and mink due to the strong evidence of sustained transmission within these hosts. Classificati...

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Bibliographic Details
Main Authors: Josip Rudar, Peter Kruczkiewicz, Oksana Vernygora, G. Brian Golding, Mehrdad Hajibabaei, Oliver Lung
Format: Article
Language:English
Published: American Society for Microbiology 2024-04-01
Series:Microbiology Spectrum
Subjects:
machine learning
COVID-19
viral host adaptation
selection pressure
metric learning
biomarker discovery
Online Access:https://journals.asm.org/doi/10.1128/spectrum.03584-23

Internet

https://journals.asm.org/doi/10.1128/spectrum.03584-23

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