iModulonDB 2.0:动态工具,以促进知识挖掘和对精选的转录组数据集的用户支持分析
Edward A Catoiu1, Jayanth Krishnan1, Gaoyuan Li1
1Department of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Nucleic acids research
|November 4, 2024
概括
iModulonDB扩展了其基因协同表达模块 (iModulons) 数据库的新数据和功能,以帮助研究人员了解 prokaryotic 转录调节. 更新的平台提供了增强的可视化和分析工具,用于探索跨多个生物体的基因表达模式.
科学领域:
- 微生物学 微生物学
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
背景情况:
- 通过转录组数据的独立组件分析 (ICA) 获得的iModulons提供了转录监管网络的模块化视图.
- iModulonDB (iModulonDB.org) 是一个集中存储库,用于策划的iModulon集和相关的转录数据.
研究的目的:
- 报告iModulonDB的显著扩展,包括用于 prokaryotic转录调节研究的新数据和功能.
- 增强用户体验,促进基因调节机制的破译.
主要方法:
- 纳入了19个新的ICA分解,8925个表达特征,503个研究,以及12个额外的生物体.
- 引入了更新的用户界面,包括研究细节,特定条件的颜色,并突出显示了基因扰乱菌株.
- 添加了omics衍生指标的交互图表和直接链接到外部数据库 (BioCyc,STRING).
主要成果:
- 数据库现在涵盖了12个额外的生物体,并包括ICA分解和表达特征的大幅增加.
- 新的可视化工具可以快速解释转录调节中断.
- 增强的搜索和分析工具促进用户与iModulon数据的互动.
结论:
- iModulonDB已经得到了显著的增强,成为一个更全面,更交互的知识库,用于 prokaryotic 转录调节.
- 扩展的数据库和新功能使研究人员能够更有效地探索和分析基因调节网络.
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