epiGBS2

epiGBS2 enables de novo determination of cytosine methylation patterns and genetic polymorphisms from reduced representation bisulfite sequencing (RRBS) data across diverse species.


Key Features:

  • Reduced representation bisulfite sequencing (RRBS): Implements an RRBS-based approach to interrogate DNA methylation at cytosines.
  • De novo methylation and variant detection: Simultaneously determines cytosine methylation patterns and genetic polymorphisms without requiring a reference genome.
  • Flexible restriction enzyme selection: Library preparation supports choice of restriction enzymes, including an option for double digest strategies to tailor representation of the genome.
  • Semi-methylated adapters: Uses semi-methylated adapters in library preparation as an alternative to fully methylated adapters.
  • Automated bioinformatics pipeline: Provides an automated processing pipeline for bisulfite sequencing data integrated into the Snakemake workflow system.
  • Parameter customization: Pipeline parameters can be adjusted to accommodate different experimental designs and species genomes.

Scientific Applications:

  • Epigenetic studies: Generates methylation profiles for studies of DNA methylation dynamics and regulation.
  • Evolutionary biology: Enables assessment of methylation and genetic variation for comparative and evolutionary analyses.
  • Comparative genomics: Facilitates cross-species comparison of methylation patterns and polymorphisms, including species lacking reference genomes.
  • Gene–environment and developmental studies: Supports investigation of gene–environment interactions and developmental processes involving DNA methylation.
  • Disease mechanism research: Provides methylation and genetic variant data relevant to studies of disease-associated epigenetic changes.

Methodology:

An automated bioinformatics pipeline integrated into Snakemake processes raw bisulfite sequencing reads to produce cytosine methylation and genetic polymorphism outputs.

Topics

Details

License:
MIT
Tool Type:
workflow
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
3/8/2021

Operations

Publications

Gawehns F, Postuma M, van Gurp TP, Wagemaker NCAM, Fatma S, Van Antro M, Mateman C, Milanovic-Ivanovic S, van Oers K, Grosse I, Vergeer P, Verhoeven KJF. epiGBS2: an improved protocol and automated snakemake workflow for highly multiplexed reduced representation bisulfite sequencing. Unknown Journal. 2020. doi:10.1101/2020.06.23.137091.