BSXplorer: analytical framework for exploratory analysis of BS-seq data
Konstantin Yuditskiy1, Igor Bezdvornykh1, Anastasiya Kazantseva2
1Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia, 199004.
BMC Bioinformatics
|March 4, 2024
Summary
BSXplorer offers a new tool for visualizing DNA methylation patterns from bisulfite sequencing data. This aids in analyzing epigenetic regulation, especially in non-model organisms for evolutionary and agrigenomics research.
Area of Science:
- Epigenetics
- Genomics
- Bioinformatics
Background:
- Bisulfite sequencing is key for understanding DNA methylation, gene expression, and phenotypic variation.
- Visualizing genome-wide methylation data is critical, particularly for non-model organisms with limited genomic resources.
- Existing tools for graphical analysis of bisulfite sequencing data are limited, hindering evolutionary and agrigenomics studies.
Purpose of the Study:
- To introduce BSXplorer, a novel tool designed for efficient graphical analysis of bisulfite sequencing data.
- To address the need for user-friendly and robust standalone tools for exploring DNA methylation patterns in non-model systems.
Main Methods:
- BSXplorer provides graphical analysis including line plots, heatmaps, and summary statistics for methylation levels.
- The tool enables comparative analyses of methylation patterns across samples, contexts, and species.
- It facilitates the identification of genomic modules with similar methylation signatures.
Main Results:
- BSXplorer offers in-depth graphical analysis of bisulfite sequencing data.
- The tool supports comparative analyses and identification of methylation pattern modules.
- It processes data rapidly and generates publication-quality figures, with API and CLI options.
Conclusions:
- BSXplorer simplifies methylation data mining, comparison, and visualization.
- This package is a valuable, easy-to-use resource for epigenetic research.
