eggNOG v7:基于系系的正统学预测和功能注释
Ana Hernández-Plaza1, Ziqi Deng1, Fabian Robledo-Yagüe2
1Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Campus de Montegancedo-UPM, 28223 Madrid, Spain.
Nucleic acids research
|December 8, 2025
概括
eggNOG v7数据库增强了进化基因分析,提供了一个新的基因组学,以域为中心的工作流. 这种基因组资源改善了数百万种蛋白质的正统组重建和功能注释准确性.
科学领域:
- 基因组学就是基因组学.
- 进化生物学 进化生物学
- 生物信息学是一种生物信息学.
背景情况:
- eggNOG数据库提供了对不同物种的ortology推断和功能注释.
- 之前的版本在正统组重建中面临着计算和准确性限制.
研究的目的:
- 为了介绍eggNOG v7,它采用了一种新的基因组学,以域为中心的工作流.
- 为了增强正义组 (OG) 重建,进化约会和功能注释准确度.
主要方法:
- 实施了一个以域为中心的管道,包括序列预聚类,多个序列对齐和族系树推断.
- 使用耐噪声算法来检测物种和重复事件,以构建层次一致的OG.
- 将工作流应用于来自 12,535 个物种的 5930 万个蛋白质.
主要成果:
- 与以前的版本相比,生成了318万个正统组 (OG),减少了碎片化和提高了一致性.
- 与手动策划的KEGG OGs相比,已证明具有更高的功能一致性.
- 发布了更新的蛋白质功能注释和重新设计的网页界面,增强了搜索和可视化工具.
结论:
- eggNOG v7通过其强大的家族遗传学,以域为中心的方法,代表了家族遗传学分析的重大进步.
- 新版本为进化和功能基因组学研究提供了更好的准确性,一致性和可用性.
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