From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering

From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering

The availability of millions of SARS-CoV-2 (Severe Acute Respiratory Syndrome-Coronavirus-2) sequences in public databases such as GISAID (Global Initiative on Sharing All Influenza Data) and EMBL-EBI (European Molecular Biology Laboratory-European Bioinformatics Institute) (the United Kingdom) allo...

Full description

Bibliographic Details
Main Authors: Hosseini, R. (Author), Knyazev, S. (Author), Melnyk, A. (Author), Mohebbi, F. (Author), Patterson, M. (Author), Sahoo, B. (Author), Skums, P. (Author), Zelikovsky, A. (Author)
Format: Article
Language:English
Published: Mary Ann Liebert Inc. 2021
Subjects:
clustering
entropy
fitness
genomic surveillance
viral subtypes
viral variants
Online Access:View Fulltext in Publisher

Similar Items

Similar Items