路径火山:用于路径引导可视化微分表达式数据的交互工具
1Department of Otolaryngology, Head & Neck Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, United States.
Bioinformatics (Oxford, England)
|June 28, 2025
概括
Omics数据可视化是一个挑战. 一个R-Shiny工具Pathway Volcano通过过火山图片以寻找特定的生物路径来简化解释,从而揭示隐藏的重要特征.
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:
- 奥米克数据集 (例如,RNA测序,蛋白质组学) 庞大而复杂,这给可视化带来了挑战.
- 标准的火山图表难以显示成千上万的重要特征,导致数据重叠和解释性降低.
- 有效的可视化对于理解生物研究中的差异表达至关重要.
研究的目的:
- 开发一种新的工具,Pathway Volcano,用于简化大型omics数据集的可视化和解释.
- 通过专注于特定途径,增强从差异表达分析中获得的生物洞察力.
- 为了解决传统火山图表在处理复杂的奥米克数据方面的局限性.
主要方法:
- 开发了Pathway Volcano作为一个免费可用的R Shiny包.
- 利用Reactome API根据特定的生物途径选择和过数据.
- 实现了用于数据查询和可视化的交互功能.
主要成果:
- 路径火山有效过火山图表,以显示与所选路径相关的数据.
- 该工具揭示了通常在标准火山地图的拥挤区域中隐藏的重要特征.
- 交互功能允许详细的数据探索和路径影响评估.
结论:
- 路径火山提供了一个生物信息化的方法来简化OMIC数据的可视化和解释.
- 该工具增强了识别和理解差异表达研究中的特定路径影响的能力.
- 该软件为研究人员提供了宝贵的资源,用于处理复杂的omics数据集.
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