通过Nextflow和nf-core赋权生物信息学社区
Björn E Langer1, Andreia Amaral2,3, Marie-Odile Baudement4
1Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain.
Genome biology
|July 30, 2025
概括
使用Nextflow DSL2的nf-core框架通过促进FAIR数据原则和协作来增强生物信息学研究. 它提供了一个模块化图书馆,支持社区标准和采用,如农场动物研究联盟所见.
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
- 数据科学数据科学数据科学
背景情况:
- 标准化分析管道对于生物信息学研究中的FAIR数据原则 (可查找性,可访问性,互操作性,可重复使用性) 是至关重要的.
- 像Nextflow和Snakemake这样的命令行工具正在获得引力,补充了像Galaxy这样的图形平台.
- 该nf-core框架旨在标准化生物信息学工作流程.
研究的目的:
- 报告nf-core框架的最新发展,特别是采用Nextflow DSL2.
- 突出NF-core广泛的模块和子工作流图书馆的实用性.
- 展示NF-core在研究界的采用和影响,特别是在养殖动物研究中.
主要方法:
- 在nf-core框架内开发和实施Nextflow DSL2.
- 创建一个可重复使用的模块和子工作流的全面库.
- 案例研究表明研究联盟采用了nf-core.
主要成果:
- nf-core框架现在支持Nextflow DSL2,增强工作流程开发.
- 广泛的模块和子工作流图书馆有助于逐步采用共同标准.
- nf-core已经成功地被六个EuroFAANG养殖动物研究联盟采用.
结论:
- 与Nextflow DSL2一起的nf-core框架有效地支持FAIR数据原则和生物信息学领域的合作.
- 它的模块化设计和广泛的图书馆使研究社区能够采用标准化的实践.
- nf-core的采用在像EuroFAANG这样的大规模研究倡议中证明了它的价值.
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