TY - JOUR T1 - SnakeChunks: modular blocks to build Snakemake workflows for reproducible NGS analyses JF - bioRxiv DO - 10.1101/165191 SP - 165191 AU - Claire Rioualen AU - Lucie Charbonnier-Khamvongsa AU - Jacques van Helden Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/07/19/165191.abstract N2 - 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{at}inserm.fr, jacques.van-helden{at}univ-amu.frSupplementary information Supplementary data are available at Bioinformatics online. ER -