KEGGaNOG:一个轻量级的工具,用于KEGG模块从基于正统学的注释进行配置
Ilia V Popov1, Michael L Chikindas2,3, Koen Venema4,5
1Faculty "Bioengineering and Veterinary Medicine", Don State Technical University, Rostov-on-Don, Russian Federation.
Molecular nutrition & food research
|September 19, 2025
概括
KEGGaNOG 是一个用于细菌基因组分析的Python工具. 它解释骨科数据以评估KEGG模块的完整性,帮助微生物生态学和益生菌研究.
科学领域:
- 微生物基因组学 微生物基因组学
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
背景情况:
- 对细菌基因组和转基因组的功能解释对于各种应用至关重要.
- 现有的工具可能缺乏可扩展性或用于途径级别分析的特定功能.
研究的目的:
- 介绍KEGGaNOG,这是一个Python工具,用于细菌基因组和元基因组的通路级功能注释.
- 为了实现可重复的代谢分析和比较分析.
主要方法:
- KEGGaNOG将基于ortology的注释 (例如,来自eggNOG-mapper) 翻译成KEGG模块的完整性得分.
- 它集成KEGG-解码器逻辑用于得分计算.
- 支持个人和多样本分析,具有各种可视化选项.
主要成果:
- KEGGaNOG准确地确定了细菌基因组中的核心生物合成途径.
- 它强调了样本之间的功能差异,包括维生素生物合成和应激反应途径.
- 在包括益生菌菌株在内的11种细菌基因组上证明了实用性.
结论:
- KEGGaNOG为高通量功能注释和比较代谢分析提供了一个实用的框架.
- 它适用于分析新型菌株,元基因组数据,并支持益生菌菌株选择.
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