Time-series analyses of directional sequence changes in SARS-CoV-2 genomes and an efficient search method for candidates for advantageous mutations for growth in human cells.

Abstract excerpt

We first conducted time-series analysis of mono- and dinucleotide composition for over 10,000 SARS-CoV-2 genomes, as well as over 1500 Zaire ebolavirus genomes, and found clear time-series changes in the compositions on a monthly basis, which should reflect viral adaptations for efficient growth in human cells. We next developed a sequence alignment free method that extensively searches for advantageous mutations...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to SARS-CoV-2 and COVID-19 Research
• Share to Viral gastroenteritis research and epidemiology
• Share to Viral Infections and Outbreaks Research