Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
Bioinformatics. 2018 Jan 1;34(1):107-108. doi: 10.1093/bioinformatics/btx540.
Next-generation sequencing is now an established method in genomics, and massive amounts of sequencing data are being generated on a regular basis. Analysis of the sequencing data is typically performed by lab-specific in-house solutions, but the agreement of results from different facilities is often small. General standards for quality control, reproducibility and documentation are missing.
We developed NGS-pipe, a flexible, transparent and easy-to-use framework for the design of pipelines to analyze whole-exome, whole-genome and transcriptome sequencing data. NGS-pipe facilitates the harmonization of genomic data analysis by supporting quality control, documentation, reproducibility, parallelization and easy adaptation to other NGS experiments.
https://github.com/cbg-ethz/NGS-pipe.
下一代测序技术现在已成为基因组学中的一种既定方法,并且定期会产生大量的测序数据。测序数据的分析通常由实验室特定的内部解决方案执行,但来自不同设施的结果的一致性通常很小。缺乏通用的质量控制、可重复性和文档编制标准。
我们开发了 NGS-pipe,这是一个灵活、透明且易于使用的框架,用于设计用于分析全外显子组、全基因组和转录组测序数据的管道。NGS-pipe 通过支持质量控制、文档编制、可重复性、并行化以及轻松适应其他 NGS 实验,促进了基因组数据分析的协调一致。
https://github.com/cbg-ethz/NGS-pipe。