通过可访问,交互和支持云计算的工作流程协调和整合NCI基因组数据共享
Ling-Hong Hung1,2, Bryce Fukuda1,2, Robert Schmitz1,2
1School of Engineering and Technology, University of Washington Tacoma, Tacoma, Washington, USA.
PloS one
|March 4, 2025
概括
研究人员现在可以使用新的图形工作流来统一处理来自NCI Genomic Data Commons (GDC) 等存储库的癌症数据. 这确保了准确的比较,并增强了基因组和转录组研究的数据解释.
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:
- 癌症数据库,如国家癌症研究所 (NCI) 基因组数据共享 (GDC) 为比较分析提供了有价值的数据集.
- 可重复处理用户数据以匹配GDC标准是具有挑战性的,因为基于文本的标准操作程序 (SOP) 往往落后于代码修订.
研究的目的:
- 通过将现有的标准操作程序转换为可访问和可执行的格式,增强GDC的实用性.
- 为了使用户数据的可重复处理和跨存储库数据集的协调.
主要方法:
- 将GDC的DNA测序 (DNA-Seq) 和mRNA测序 (mRNA-Seq) SOP转换为可复制,自安装,容器化和交互式图形工作流.
- 使用开发的图形工作流程,从GDC和基因型-组织表达 (GTEx) 中协调原始RNA-Seq数据集.
主要成果:
- 开发和传播GDCDNA-Seq和mRNA-Seq管道的开源图形工作流.
- 通过协调使用不同方法处理的数据集,证明统一数据处理对于准确的差异基因表达分析的重要性.
结论:
- 开发的图形工作流显著增加了GDC的实用性,使研究人员能够统一处理定制和现有数据集.
- 这种使分析方法尽可能容易获得数据的方法可以应用于其他存储库,以提高科学研究的影响.
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