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范围+:在样本和细胞层面为单细胞RNA-seq地图的开源通用架构

Danqing Yin^1,2, Yue Cao^1,3,4,5, Junyi Chen^1,2

¹Laboratory of Data Discovery for Health Limited (D24H), Pak Shek Kok, Hong Kong SAR, 999077, China.

Bioinformatics (Oxford, England)

|December 20, 2024

概括

Scope+是一个开源架构,用于快速访问和对大型单细胞RNA测序图谱的细胞层次元分析. 它使研究人员能够构建可适应的门户,以COVID-19血细胞图谱Covidscope为例.

科学领域:

单细胞基因组学单细胞基因组学
生物信息学是一种生物信息学.
计算生物学是一种计算生物学.

背景情况:

单细胞RNA测序 (scRNA-seq) 已经产生了大型细胞图谱.
现有的门户缺乏开源适应性和细胞级元分析能力.
有效访问大规模地图集数据仍然是一个挑战.

研究的目的:

介绍Scope+,一个开源的,可扩展的架构,用于访问和分析细胞地图数据.
为了实现快速访问,细胞层面的选择和地图集数据的元分析.
为研究人员提供一个基础,以建立他们自己的可适应的细胞地图门户.

主要方法:

开发了Scope+架构,专注于优化和可扩展性.
实现了单元数据模型的单元数据模型,以实现高效的数据处理.
利用了新的数据库优化技术和创新的软件架构设计.
应用范围+为500万COVID-19血液和免疫细胞创建Covidscope门户.

主要成果:

Scope+提供高效,快速访问大规模的细胞地图数据.
科维斯科普门户展示了该架构对现实世界的数据的应用.
该架构支持细胞层面的选择和元分析.
Scope+是开源的,可以适应各种各样的地图集数据集.

结论:

Scope+为管理和分析大型单细胞地图提供了强大的解决方案.
该架构通过其开源性质促进了协作研究.
它解决了现有的细胞地图集门户的关键局限性,提高了数据的可访问性和实用性.

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