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shinyExprPortal:一个可配置的"闪亮"门户,用于共享分子表达数据分析
Rafael Henkin1,2, Katriona Goldmann3,4, Myles Lewis1,3
1Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, United Kingdom.
Bioinformatics (Oxford, England)
|March 29, 2024
概括
Omics研究数据共享是具有挑战性的. 闪亮的ExprPortal R包提供了一种简单的方法来创建交互式网络门户,用于探索omics数据和分析结果.
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:
- 奥米克研究产生了大量数据集,对数据共享和结果可访问性提出了挑战.
- 当前的出版模式和数据存储库为读者,尤其是非程序员创造了障碍.
- 复杂的奥米克学发现的可复制性和解释受到有限的共享机制的阻碍.
研究的目的:
- 开发一个可访问的工具来共享和探索omics数据分析结果.
- 减少研究人员和读者在数据访问和解释方面的技术负担.
- 促进转录基因和蛋白质基因研究结果的传播.
主要方法:
- 介绍了shinyExprPortal,这是一个用于创建omics网络门户的R包.
- 实现对表达数据,表型和分析结果的交互式探索.
- 与现有的生物信息工作流程集成,以无地展示结果.
主要成果:
- shinyExprPortal允许创建omics网络门户网站的编码是最小的.
- 门户支持差异表达,共同表达和途径分析的探索.
- 交互式和出版质量的图片可以增强数据可视化和共享.
结论:
- shinyExprPortal简化了omics数据分析的共享和探索.
- 该方案降低了研究人员传播其发现的障碍.
- 互动门户提高了复杂的奥米克结果的可访问性和理解性.
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