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Updated: Feb 28, 2026

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单细胞RNA测序数据处理使用基于云的无服务器计算

Ling-Hong Hung, Niharika Nasam, Chris Biju

bioRxiv : the preprint server for biology

|February 27, 2026

概括

无服务器云计算加速了单细胞RNA测序 (scRNA-seq) 数据分析. 这种方法创造了一个按需的超级计算机,显著加快了大型scRNA-seq数据集的处理速度.

科学领域:

计算生物学计算生物学
生物信息学是一种生物信息学.
云计算云计算云计算

背景情况:

单细胞RNA测序 (scRNA-seq) 对于理解细胞活动至关重要.
处理大型scRNA-seq数据集需要大量的计算资源.
云计算提供了可扩展的解决方案,而不需要大量的基础设施投资.

研究的目的:

开发一种新的,可通用的方法来加速使用无服务器云计算的计算密集型工作流程.
创建一个按需计算环境,使用无服务器功能进行生物数据分析.

主要方法:

利用无服务器云功能创建自动配置的计算单元.
通过集成无服务器功能的 scRNA-seq 工作流的优化.
在公共外周血液单核细胞 (PBMC) 数据集和大型NIH MorPhiC数据集 (450 GB) 上测试方法.

主要成果:

与传统工作流程相比,在处理大型scRNA-seq数据集方面展示了重大的加快速度.
在86个细胞系中成功处理了450GB的人类scRNA-seq数据集.
验证了无服务器计算的成本效益和性能,用于scRNA-seq分析.

结论:

无服务器云计算为加速scRNA-seq数据处理提供了具有成本效益和高效的解决方案.
拟议的方法可用于计算密集型生物信息学工作流程.
这种方法可以快速部署计算能力,用于大规模的生物数据分析.

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