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nf-core/marsseq:用于MARS-seq实验的系统预处理管道
Martin Proks1, Jose Alejandro Romero Herrera2, Jakub Sedzinski1
1Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Department of Biomedical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark.
Bioinformatics advances
|May 29, 2025
概括
我们标准化了大规模并行RNA单细胞测序 (MARS-seq) 分析管道,以提高可复制性和可扩展性. 这一更新的管道增强了数据解释,并使单细胞RNA测序研究的RNA速度估计成为可能.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 单细胞RNA测序 (scRNA-seq) 对于研究基因调节至关重要.
- 现有的scRNA-seq协议在标准化,数据解释和可重现性方面存在局限性.
- 大规模并行RNA单细胞测序 (MARS-seq2.0) 提供了参考数据,但对分析有格式限制.
研究的目的:
- 为了提高可重现性和数据解释性,将MARS-seq分析管道标准化.
- 调整MARS-seq管道以与nf-core框架集成.
- 将RNA速度估计纳入MARS-seq分析工作流.
主要方法:
- 修订了原来的MARS-seq2.0管道,以便在nf-core框架内实施.
- 集成的额外检查点用于实验元数据验证.
- 开发了用于RNA速度估计的自定义工作流.
主要成果:
- 实现了简化管道执行,提高了透明度和可扩展性.
- 通过改进元数据验证来增强管道.
- 成功实现了用于RNA速度估计的自定义工作流.
结论:
- 更新的MARS-seq管道为scRNA-seq数据分析提供了一种标准化和可扩展的方法.
- 该管道促进了强大的RNA速度推断,推动了对基因调节的研究.
- nf-core 集成管道是免费可用的,促进社区驱动的生物信息学发展.
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