SnakeChunks: modular blocks to build Snakemake workflows for reproducible NGS analyses

bioRxiv(2017)

引用 1|浏览3
暂无评分
摘要
Summary: Next-Generation Sequencing (NGS) is becoming a routine approach for most domains of life sciences, yet there is a crucial need to improve the automation of processing for the huge amounts of data generated and to ensure reproducible results. We present SnakeChunks, a collection of Snakemake rules enabling to compose modular and user-configurable workflows, and show its usage with analyses of transcriptome (RNA-seq) and genome-wide location (ChIP-seq) data.Availability: The code is freely available (github.com/SnakeChunks/SnakeChunks), and documented with tutorials and illustrative demos (snakechunks.readthedocs.io).Contact: claire.rioualen@inserm.fr, jacques.van-helden@univ-amu.frSupplementary information: Supplementary data are available at Bioinformatics online.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要