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推动进化遗传学和基因组学领域的数据驱动型发现。

Enabling data-driven discoveries in evolutionary genetics and genomics.

作者信息

Kumar Sudhir

机构信息

Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA.

Department of Biology, Temple University, Philadelphia, PA 19122, USA.

出版信息

Genetics. 2025 Jul 9;230(3). doi: 10.1093/genetics/iyaf084.

Abstract

The George W. Beadle Award honors individuals who have made outstanding contributions to the community of genetics researchers as a whole and led an exemplary research career. The 2025 awardee is Sudhir Kumar from Temple University, who has not only pushed the intellectual frontier of evolutionary genetics but has also served the community through numerous contributions to creating, disseminating, maintaining, and advancing invaluable software for molecular evolutionary genetics analyses (MEGA) and a web-accessible resource for species divergence times (TimeTree). In the essay below, Kumar traces the initiation and evolution of these resources and explains how these developments have driven his research program to develop computationally efficient and environmentally friendly innovations to address the growing need to analyze increasingly larger sequence data sets.

摘要

乔治·W·比德尔奖旨在表彰那些为整个遗传学研究群体做出杰出贡献并拥有典范性研究职业生涯的个人。2025年的获奖者是天普大学的苏迪尔·库马尔,他不仅推动了进化遗传学的知识前沿,还通过为分子进化遗传学分析(MEGA)创建、传播、维护和推进宝贵软件以及为物种分化时间提供网络可访问资源(TimeTree)等诸多贡献服务于该领域。在下文,库马尔追溯了这些资源的创立与发展历程,并解释了这些进展如何推动他的研究项目开发计算高效且环境友好的创新方法,以满足分析日益庞大的序列数据集这一日益增长的需求。

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本文引用的文献

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Nat Commun. 2025 Apr 4;16(1):3217. doi: 10.1038/s41467-025-58428-8.
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