OmicsQ:一个用户友好的平台,用于交互的定量OMIC数据分析
Xuan-Tung Trinh1, André Abrantes da Costa1,2, David Bouyssié3,4
1Department of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense, Denmark.
Bioinformatics (Oxford, England)
|December 17, 2025
概括
OmicsQ是一个新的网络平台,简化了定量omics数据分析. 它处理复杂的数据集,缺失的值,并与其他工具集成,以获得深入的生物学见解.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 数据科学数据科学数据科学
背景情况:
- 高吞吐量omics技术产生复杂的,高维的数据集.
- 这些数据集往往包含缺失值和可变差异,使分析复杂化.
- 现有的分析工具通常是基于编程的,这限制了非计算研究人员的可访问性.
研究的目的:
- 开发一个可访问的,基于网络的平台,用于简化量化数据分析.
- 提供一个直观的界面,整合统计处理和可视化.
- 为了促进对复杂的奥米克数据的深度生物学解释.
主要方法:
- 开发了基于R和Shiny的交互式Web平台OmicsQ.
- 集成的强大的批次校正,自动化的实验设计注释,以及没有归算的缺失数据处理.
- 实现与外部应用程序的无交互,用于统计测试,集群和路径丰富.
主要成果:
- OmicsQ提供了一个用户友好的,基于浏览器的界面,用于omics数据分析.
- 该平台可稳定处理数据复杂性,缺失值和批量效应.
- OmicsQ可以与PolySTest,VSClust和ComplexBrowser等工具集成,以进行全面的分析.
结论:
- OmicsQ提供了一个灵活且广泛适用的omics数据分析工作流.
- 该平台提高了研究人员没有广泛的计算专业知识的可访问性.
- OmicsQ支持从数据导入到生物解释的整个过程.
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