@techreport{234ddabbbf9e45ec8dae05cf9fb502d8,
title = "Dynamics of SARS-CoV-2 genetic mutations and their information entropy",
abstract = "We report an investigation of the mutations dynamics of the SARS-CoV-2 virus using Shannon{\textquoteright}s information theory. Our study includes seventeen RNA genetic sequences collected at different geographic locations and timeframes ranging from Dec. 2019 to Oct. 2021. The data shows a previously unobserved relationship between the information entropy of genomes and their mutation dynamics. The information entropy of the mutated variants decreases linearly with the number of genetic mutations with a negative slope of 1.52 x 10 to power -5 bits / mutations, pointing to a possible deterministic approach to the dynamics of genetic mutations. The method proposed here could be used to develop a predictive algorithm of genetic mutations. ",
keywords = "genetic mutations, information theory, entropy of information",
author = "Melvin Vopson",
year = "2022",
month = jun,
day = "14",
doi = "10.1101/2022.06.13.495895",
language = "English",
pages = "1--6",
publisher = "bioRxiv",
address = "United States",
type = "WorkingPaper",
institution = "bioRxiv",
}