Data-Driven Research for Understanding and Predicting Viral Epidemics and Evolution

Abstract

The era of big data has begun in life sciences, and virology is no exception. Especially since COVID-19, virology has become one of the most genome data-rich fields in life sciences. In this article, I will introduce the new paradigm of “understanding and predicting viral epidemics and evolution, ” made possible by the emergence of vast amounts of genome data, focusing on my research to date. Additionally, I would like to introduce our efforts toward advancing the field of viral informatics.