TOmicsVis:一个全合一的转录分析和可视化R包,配有Shinyapp界面
Ben-Ben Miao1, Wei Dong2, Zhao-Fang Han1
1State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences Xiamen University Xiamen China.
iMeta
|June 13, 2024
概括
研究人员现在可以很容易地分析和可视化转录组数据TOmicsVis,一个R包简化复杂的多组实验. 该工具整合了多个R包的功能,以简化生物机制的发现.
科学领域:
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
- 计算生物学 计算生物学
背景情况:
- 转录组分析对于了解物种间的生物机制至关重要.
- 现有的转录学R包缺乏统一的集成和用户友好的界面来进行复杂的分析.
研究的目的:
- 开发一个全面的R包,TOmicsVis (转录学可视化),用于简化转录学数据分析和可视化.
- 为多组转录组项目提供一个用户友好的解决方案,集成多个R包的功能.
主要方法:
- 开发了TOmicsVis,这是一个利用其他46个R包的R包.
- 实现了40个功能,涵盖样本统计,特征分析,微分表达式,高级分析,GO和KEGG丰富以及表操作.
- 启用本地和在线 (Shiny app) 执行,以提高可访问性.
主要成果:
- TOmicsVis提供了一个统一的平台,用于转录学分析和可视化.
- 该套件简化了多组转录项目,具有多种分析功能.
- 为拥有和没有编码专业知识的研究人员提供可访问的工具.
结论:
- TOmicsVis提高了转录学数据分析的效率和可访问性.
- 便于快速监测实验数据动态和快速探索转录学数据.
- 使研究人员能够更有效地揭示生物机制.
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