optima:Tapestri平台的一个开源的R包,用于整合性单细胞多态数据分析
Dong Pei1,2, Rachel Griffard1, Nanda Kumar Yellapu1,2
1Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS 66160, United States.
Bioinformatics (Oxford, England)
|October 5, 2023
概括
最佳R包可用于单细胞研究的综合DNA和蛋白质分析. 它有助于识别细胞群和蛋白质表达在复杂的环境,如瘤.
科学领域:
- 单细胞多组组学分析
- 计算生物学和生物信息学
- 癌症研究和免疫学
背景情况:
- 塔普斯特里平台可以在单细胞水平上同时进行DNA和蛋白质分析.
- 分析多模单细胞数据对于理解复杂的生物系统至关重要,例如异质瘤微环境.
- 现有的工具可能无法完全满足处理和整合Tapestri生成数据的特定需求.
研究的目的:
- 推出optima,一个R包,旨在从Tapestri平台全面处理和分析单细胞DNA和蛋白质数据.
- 为数据过,集成,规范化,转换和可视化提供简化的工作流.
- 为了促进不同的细胞群体的识别和表面蛋白质表达模式的表征.
主要方法:
- 开发一个R包",optima",利用已建立的生物信息学管道.
- 实现质量控制,数据集成和多模单元数据规范化的功能.
- 包括可视化工具来探索细胞群和蛋白质表达特征.
主要成果:
- 最佳包提供了Tapestri DNA和蛋白质数据的高效和综合分析.
- 用户可以有效地在异质样本中识别独特的细胞子集.
- 该包可以发现细胞特异的表面蛋白质表达模式.
结论:
- optima为使用Tapestri平台的研究人员提供了有价值的计算工具.
- 该套件增强了对细胞异质性和动态更深入了解的能力.
- optima支持在单细胞水平上阐明复杂的生物过程.
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