scExplorer:用于单细胞RNA测序数据分析的全面Web服务器
Sergio Hernández-Galaz1,2,3, Andrés Hernández-Olivera2, Felipe Villanelo4
1Laboratorio de Redes Biológicas, Fundación Ciencia and Vida, Huechuraba, Santiago, 8580702, Chile.
Bioinformatics advances
|November 21, 2025
概括
scExplorer是一个网络平台,简化了非程序员的单细胞RNA测序 (scRNA-seq) 分析. 它提供先进的批次校正,可扩展的任务管理,以及复杂数据集的可重复报告.
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:
- 单细胞RNA测序 (scRNA-seq) 分析需要专门的计算技能,这对许多研究人员来说是一个障碍.
- 整合多个scRNA-seq数据集,管理大规模计算,并确保工作流的可重复性是重大挑战.
研究的目的:
- 开发一个用户友好的,基于Web的平台,scExplorer,以克服scRNA-seq数据分析中的计算障碍.
- 为研究人员提供工具,特别是那些没有编程专业知识的研究人员,以进行全面和可复制的scRNA-seq分析.
主要方法:
- 使用四个算法实现了全面的批量校正:ComBat,Scanorama,BBKNN和Harmony.
- 基于SLURM的集成工作安排,具有暂停/恢复功能,用于高效的大规模分析.
- 开发了可导出配置文件的发布准备报告的自动生成,以实现完全可重复性.
主要成果:
- scExplorer成功地集成了多个最先进的批次校正算法.
- 该平台支持可扩展的任务管理,用于高达数十万个单元的数据集.
- 自动报告和配置文件出口确保了透明度和可重复性.
结论:
- scExplorer通过消除非计算研究人员的技术障碍,使scRNA-seq分析民主化.
- 该平台通过为复杂的数据分析提供透明,可重复和可访问的工具来增强协作研究.
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