在不同的计算基础设施上进行可扩展和高效的DNA测序分析,以帮助发现变异.
Friederike Hanssen1,2,3,4, Maxime U Garcia5,6,7, Lasse Folkersen8
1Quantitative Biology Center, Eberhard-Karls University of Tübingen, Otfried-Müller Str. 37, Tübingen 72076, Baden-Württemberg, Germany.
NAR genomics and bioinformatics
|April 26, 2024
概括
nf-core/sarek 3管道简化了生殖和体质样本的DNA变异分析. 这种更新的工作流大大减少了存储和运行时间,大规模基因组数据处理的成本降低了70%.
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.
- 计算生物学 计算生物学
背景情况:
- 对生物医学而言,DNA变异分析至关重要,尤其是在比较正常和瘤样本时.
- 大规模的测序工作产生数千个样本,需要可扩展和自动化的数据处理工作流.
研究的目的:
- 为了呈现nf-core/sarek 3,一个重写的,全面的变体调用和注释管道.
- 为了提高生殖线和体质DNA变异分析的可扩展性,可移植性和自动化.
主要方法:
- 完全重写原来的nf-core/sarek管道.
- 实施CRAM格式以减少存储要求.
- 增加了样本内并行化,以减少运行时间.
主要成果:
- 显著减少储存需求和处理时间.
- 在商业云环境中实现了70%的成本降低.
- 实现大规模的跨平台基因组数据分析,降低成本和环境影响.
结论:
- nf-core/sarek 3为DNA变异分析提供了一个具有成本效益和高效的解决方案.
- 管道支持任何具有已知引用的基因组,促进广泛适用性.
- 优化的工作流支持可持续和大规模的基因组研究.
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