snakePipes

snakePipes provides Snakemake-based, scalable workflows for analysis of next-generation sequencing (NGS) epigenomic assays including ChIP-seq, RNA-seq, Bisulfite-seq, ATAC-seq, Hi-C, and single-cell RNA-seq to support studies of gene regulation, chromatin accessibility, DNA methylation, and 3D genome organization.


Key Features:

  • Modular Workflow Design: Supports analysis workflows for ChIP-seq, RNA-seq, Bisulfite-seq, ATAC-seq, Hi-C, and single-cell RNA-seq.
  • Snakemake-based Execution: Implements workflows using Snakemake for rule-based, reproducible execution.
  • Scalability: Capable of processing large NGS datasets suitable for both small-scale and high-throughput studies.
  • Workflow Configurability: Allows configuration of processing steps and parameters via YAML configuration files.
  • Integration of Bioinformatics Tools: Assembles and integrates multiple bioinformatics tools within workflows for epigenomic analyses.

Scientific Applications:

  • Gene regulation: Analysis of gene regulation using ChIP-seq and RNA-seq datasets.
  • Chromatin accessibility: Analysis of chromatin accessibility from ATAC-seq data.
  • DNA methylation patterns: Analysis of DNA methylation using Bisulfite-seq data.
  • 3D genome organization: Analysis of three-dimensional genome organization using Hi-C data.

Methodology:

Workflows are assembled and integrated from multiple bioinformatics tools, executed using Snakemake, and configured through YAML files that define processing steps and parameters.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
8/9/2019
Last Updated:
11/24/2024

Operations

Publications

Bhardwaj V, Heyne S, Sikora K, Rabbani L, Rauer M, Kilpert F, Richter AS, Ryan DP, Manke T. snakePipes: facilitating flexible, scalable and integrative epigenomic analysis. Bioinformatics. 2019;35(22):4757-4759. doi:10.1093/bioinformatics/btz436. PMID:31134269. PMCID:PMC6853707.

PMID: 31134269
PMCID: PMC6853707
Funding: - German Science Foundation: CRC992

Documentation

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