拼接Wiz:互动分析和可视化在RR中的替代拼接
Alex C H Wong1,2,3, Justin J-L Wong2,3, John E J Rasko1,3,4
1Gene and Stem Cell Therapy Program, Centenary Institute, the University of Sydney, Camperdown, NSW 2050, Australia.
Briefings in bioinformatics
|December 28, 2023
概括
拼接Wiz简化了从RNA测序数据的替代拼接 (AS) 分析. 这个R包提供了AS事件的高效可视化和识别,使研究人员能够访问复杂的数据.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 替代拼接 (AS) 生成多种基因异型,对于真核生物基因表达调节至关重要.
- 从RNA测序 (RNA-Seq) 数据中分析和可视化AS事件带来了重大的计算挑战.
- 现有的可视化方法,如沙希米图片有局限性,可能会误导,需要专门的生物信息技术技能.
研究的目的:
- 开发一种可访问和有效的工具,用于从RNA-Seq数据中分析和可视化替代拼接事件.
- 通过提供交互式和可扩展的解决方案来解决当前AS分析工具的局限性.
- 为了使可靠的识别和功能性特征的替代拼接事件.
主要方法:
- 开发SpliceWiz,一个R包,具有用于AS分析的交互式Shiny接口.
- 实施一种新的规范化算法,以准确可视化样本组之间的拼接水平差异.
- 引入一种高效的覆盖数据存储文件格式,性能优于BigWig.
- 优化速度,实现与命令行工具可比的处理时间.
主要成果:
- SpliceWiz能够轻松高效地进行AS事件的大规模分析和可视化.
- 新的规范化算法准确地可视化了群体间的拼接级别差异.
- 该工具集成了下游基因本体学丰富分析,用于功能途径识别.
- 与其他基于R的工具相比,SpliceWiz显著加快了对齐文件处理.
结论:
- SpliceWiz简化了替代拼接分析的过程,提高了研究人员的可访问性.
- 该套件可提供功能相关的AS事件的可靠识别.
- 作为一个生物导体包和在GitHub上提供SpliceWiz,促进广泛采用.
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