[了解和预测病毒流行和进化的数据驱动研究]。

Uirusu Pub Date : 2024-01-01 DOI:10.2222/jsv.74.49

Jumpei Ito

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引用次数: 0

摘要

大数据时代已经在生命科学领域开启，病毒学也不例外。特别是自2019冠状病毒病以来，病毒学已成为生命科学中基因组数据最丰富的领域之一。在本文中，我将介绍“理解和预测病毒流行和进化”的新范式，这是由于大量基因组数据的出现而成为可能的，并将重点放在我迄今为止的研究上。此外，我想介绍我们为推进病毒信息学领域所做的努力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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Uirusu

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