Methylation & Chromatin Feature Correlation

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Streamline the integration of multi-omic datasets with this comprehensive pipeline designed to explore the relationship between DNA methylation and chromatin state. This skill automates the complex workflow of loading CpG methylation data, tiling it into fixed windows or specific genomic regions like promoters, and correlating it with bigWig signal data from ATAC-seq or histone ChIP-seq. By producing unified signal tables and descriptive visualizations like Spearman correlation heatmaps and scatter plots, it enables researchers to efficiently assess epigenomic shifts and regulatory activation across various cell types and conditions.

Características Principales

• Automated Spearman correlation analysis between methylation and chromatin features
• Flexible genomic tiling for fixed-size bins or user-defined target regions like promoters
• High-quality visualization suite including correlation heatmaps and scatter plots
• 2 GitHub stars
• Unified data table generation for multi-feature region-level integration
• Integration of CpG methylation data with multi-omic signals like ATAC-seq and histone marks

Casos de Uso

• Evaluating promoter or enhancer activation through combined methylation and chromatin signal analysis
• Integrating diverse datasets such as WGBS, ChIP-seq, and ATAC-seq into a single analysis pipeline
• Identifying epigenomic shifts and feature correlations across different tissues or experimental conditions