snakePipes
"snakePipes" is a comprehensive workflow package designed to facilitate the processing and downstream analysis of data derived from a variety of common epigenomic assays, including ChIP-seq, RNA-seq, Bisulfite-seq, ATAC-seq, Hi-C, and single-cell RNA-seq. It is specifically tailored to meet the demands for a modular and scalable approach to handle the complexity and expanding volume of epigenomic data in research.
Key Features and Functionalities:
- Modular Workflows for Epigenomic Assays: snakePipes provides pre-configured workflows for several epigenomic assays, enabling researchers to process and analyze data with precision and efficiency.
- Easy Installation and Upgrades: The package simplifies the installation of the underlying tools required for epigenomic data analysis. Users can easily install and upgrade snakePipes and its dependencies using Conda, a widely used package management system in bioinformatics.
- Flexible Workflow Assembly: Users can customize workflows to suit their research needs by assembling different workflow variants through command-line wrappers and YAML configuration files.
- Comprehensive Online Resources: snakePipes is supported by extensive documentation and a source code repository available online, providing users with the necessary guidance and resources for installation, configuration, and utilization of the package.
Topic
Epigenomics;ChIP-seq;RNA-Seq
Detail
Software interface: Command-line interface
Language: Python
License: The GNU General Public License v3.0
Cost: Free with restrictions
Version name: -
Credit: -
Input: -
Output: -
Contact: Devon P. Ryan ryan@ie-freiburg.mpg.de ,Thomas Manke manke@ie-freiburg.mpg.de
Collection: -
Maturity: Mature
Publications
- snakePipes: facilitating flexible, scalable and integrative epigenomic analysis.
- Bhardwaj V, et al. snakePipes: facilitating flexible, scalable and integrative epigenomic analysis. snakePipes: facilitating flexible, scalable and integrative epigenomic analysis. 2019; 35:4757-4759. doi: 10.1093/bioinformatics/btz436
- https://doi.org/10.1093/BIOINFORMATICS/BTZ436
- PMID: 31134269
- PMC: PMC6853707
Download and documentation
Documentation: https://snakepipes.readthedocs.io/en/latest/
Home page: https://github.com/maxplanck-ie/snakepipes
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