From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering
Author:
Affiliation:
1. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.
2. World-Class Research Center “Digital Biodesign and Personalized Healthcare,” I.M. Sechenov First Moscow State Medical University, Moscow, Russia.
Publisher
Mary Ann Liebert Inc
Subject
Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation
Link
https://www.liebertpub.com/doi/pdf/10.1089/cmb.2021.0302
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1. aBayesQR: A Bayesian Method for Reconstruction of Viral Populations Characterized by Low Diversity
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3. Editorial board
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