1Key Laboratory of Quantum Information of Yunnan, Yunnan University, Kunming 650900, China
2Key Laboratory of Software Engineering of Yunnan, Yunnan University, Kunming 650900, China
3School of Software, Yunnan University, Kunming 650900, China
Adv. Mater. Lett., 2021, 12 (2), 21021600
Publication Date (Web): Dec 16, 2020
Copyright © IAAM-VBRI Press
Motivation: Multiple coronavirus genomes are normally organized by genomic information in a phylogenic tree to illustrate evolutionary variations. A novel scheme is represented to arrange various coronavirus genomes by two genomic indexes as 2D maps.
Results: For a genome, two unique invariants of genomic indexes provide an absolute position on a 2D region in real measurements. Clustering effects are provided complementary from Phylogeny technology. Samples of seventeen coronavirus and twenty-six SARS-CoV-2 genomes from various countries are selected. This provides an efficient scheme to identify variations of SARS-CoV-2 strains for better identifications on both complicated coronavirus clusters and SARS-CoV-2 group of viral evolution in intermediate and original hosts on selective environments.
Viral evolution, genomic index, visual maps, projection, information entropy, (mean, integrated) index.