ggalign:图形语法和生物多层复杂性的桥梁
Yun Peng1,2, Shan Jiang1, Yuxuan Song1
1Department of Urology, Peking University People's hospital, Beijing, 100044, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|September 15, 2025
概括
ggalign是一个新的R包,用于可视化复杂的生物数据. 它为多学科研究提供灵活,可组合的可视化,改善数据解释和呈现.
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
- 数据可视化 数据可视化
背景情况:
- Omics数据的复杂性需要先进的可视化工具.
- 现有的工具在灵活性和可扩展性方面对多omics数据有局限性.
研究的目的:
- 介绍了ggalign,这是一个扩展ggplot2的R包,用于可编译的可视化.
- 为探索和交流复杂的生物数据集提供灵活和可扩展的框架.
主要方法:
- ggalign提供模块化,数据意识的布局 (圆形,堆叠,以象限为基础).
- 支持一个对许多和许多对一个数据关系的表示.
- 具有跨异质数据类型的相互连接的新链接机制.
主要成果:
- ggalign通过重新排序和分组提高了高维数据集的解释性.
- 在基因组和微生物组案例研究中展示了多功能性.
- 促进探索性数据分析和出版准备的演示文稿.
结论:
- ggalign提供了一个多功能和可重复的解决方案,用于多omics研究.
- 有效地集成各种数据关系和类型.
- 解决了对灵活和可扩展可视化工具的日益增长的需求.
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