Modeling SARS-CoV-2 nucleotide mutations as a stochastic process

This study analyzes the SARS-CoV-2 genome sequence mutations by modeling its nucleotide mutations as a stochastic process in both the time-series and spatial domain of the gene sequence. In the time-series model, a Markov Chain embedded Poisson random process characterizes the mutation rate matrix,...

Descripción completa

Detalles Bibliográficos
Autores principales: Lim Kai Rong, Maverick, Kuruoglu, Ercan Engin, Chan, Wai Kin Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146438/
https://www.ncbi.nlm.nih.gov/pubmed/37115784
http://dx.doi.org/10.1371/journal.pone.0284874

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146438/
https://www.ncbi.nlm.nih.gov/pubmed/37115784
http://dx.doi.org/10.1371/journal.pone.0284874

Ejemplares similares