ROGUE:一种R Shiny应用程序,用于RNA测序分析和生物标志物发现
Alvin Farrel1,2,3,4, Peng Li5,6, Sharon Veenbergen5,7,8
1Laboratory of Molecular Immunology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA. farrela@chop.edu.
BMC bioinformatics
|July 29, 2023
概括
ROGUE是一个用户友好的R Shiny应用程序,旨在进行RNA测序 (RNA-Seq) 数据分析. 它使生物学家能够探索数据集,识别生物标志物,并发现丰富的途径,推进生物研究.
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
- 基因组学就是基因组学.
背景情况:
- RNA测序 (RNA-Seq) 技术越来越强大且具有成本效益,导致数据生成的激增.
- 虽然比较基因表达是可行的,但对于生物学家高效的数据探索,需要用户友好的工具.
研究的目的:
- 为了介绍ROGUE (RNA-Seq Ontology图形用户环境),一个R Shiny应用程序.
- 为生物学家提供一个可访问的工具,用于先进的RNA-Seq数据分析.
主要方法:
- 开发了一个名为ROGUE的用户友好的R Shiny应用程序.
- 实现用于差异基因表达分析,基因本体学和通路丰富的特征.
- 整合生物标志物识别工具和先进的统计分析.
主要成果:
- ROGUE能够对RNA-Seq数据进行全面分析,包括差异表达和途径丰富.
- 该应用程序被用来识别潜在的生物标志物.
- 在不同类型的免疫细胞中确定了独特的丰富途径.
结论:
- 像ROGUE这样的用户友好的工具对于使生物学家能够有效分析下一代测序数据至关重要.
- ROGUE促进了表达模式的发现,并支持生物研究中的假设生成和测试.
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