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

Uirusu. 2024;74(1):49-56. doi: 10.2222/jsv.74.49.
[Article in Japanese]

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.

Publication types

  • Review
  • English Abstract

MeSH terms

  • Big Data
  • COVID-19* / epidemiology
  • COVID-19* / virology
  • Computational Biology / methods
  • Epidemics
  • Evolution, Molecular
  • Genome, Viral* / genetics
  • Humans
  • SARS-CoV-2 / genetics
  • Virus Diseases / epidemiology
  • Virus Diseases / virology