Genomic chronicle of SARS-CoV-2: a mutational analysis with over 1 million genome sequences.
Ontology highlight
ABSTRACT: Use of information technologies to analyse big data on SARS-CoV-2 genome provides an insight for tracking variations and examining the evolution of the virus. Nevertheless, storing, processing, alignment and analyses of these numerous genomes are still a challenge. In this study, over 1 million SARS-CoV-2 genomes have been analysed to show distribution and relationship of variations that could enlighten development and evolution of the virus. In all genomes analysed in this study, a total of over 215M SNVs have been detected and average number of SNV per isolate was found to be 21.83. Single nucleotide variant (SNV) average is observed to reach 31.25 just in March 2021. The average variation number of isolates is increasing and compromising with total case numbers around the world. Remarka
SUBMITTER: Ugurel OM
PROVIDER: S-EPMC8573839 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
ACCESS DATA