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相关实验视频

Updated: May 29, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

通过SciDAP加速单细胞测序数据分析:一种用户友好的方法

Michael Kotliar¹, Andrey Kartashov², Artem Barski^3,4,5,6

¹Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

Methods in molecular biology (Clifton, N.J.)

|February 3, 2025

概括

此摘要是机器生成的。

科学数据分析平台 (SciDAP) 为生物学家简化了复杂的单细胞测序数据分析. 它提供可重复的工作流程,消除了编码专业知识的需求,并提高了数据分析的可访问性.

关键词:

CWL 在线播放在科学DAPP.单细胞机是一种单细胞机.这是一个 scATAC-Seqq.在 scMultiome 中使用 scMultiome.这就是 scRNA-Seqq.

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科学领域:

基因组学就是基因组学.
计算生物学计算生物学
生物信息学是一种生物信息学.

背景情况:

单细胞 (sc) 测序技术 (RNA,ATAC,Multiome) 对于理解生物和疾病机制至关重要.
手动分析大而复杂的sc数据具有挑战性,由于配置复杂性和环境不一致性,阻碍了可重复性.

研究的目的:

将科学数据分析平台 (SciDAP) 作为可访问和可重复的sc数据分析解决方案.
描述使用SciDAP分析scMultiome数据的协议,适用于其他sc测序类型.

主要方法:

在SciDAP平台上使用用常用工作流语言 (CWL) 编写的便携式和可重复的管道.
使用一套针对scRNA-Seq,scATAC-Seq和scMultiome数据分析量身定制的计算管道.

主要成果:

SciDAP使得没有计算专业知识的生物学家能够分析sc测序数据.
该平台为手工处理提供了一个用户友好的替代方案,消除了对编码技能的需求.

结论:

SciDAP显著降低了复杂的sc数据分析的进入障碍.
描述的协议促进了scMultiome,scRNA-Seq和scATAC-Seq数据集的可重复和高效分析.