Global Methylation Profiling

소개

Provides a comprehensive workflow for analyzing global DNA methylation patterns from WGBS or similar per-CpG methylation call files. It enables users to characterize the methylation status of individual or multiple samples, identify how methylation is distributed across genomic features like promoters and gene bodies, and perform unsupervised clustering and PCA to assess biological or technical variation. By automating the generation of density plots, correlation heatmaps, and annotation statistics using R, it facilitates high-level insights into epigenetic landscapes across different experimental conditions.

주요 기능

• Automated R script generation using methylKit and genomation
• Genomic feature annotation for promoters, exons, introns, and UTRs
• Multi-sample correlation heatmapping
• Genome-wide methylation density distribution analysis
• Unsupervised sample clustering and PCA for similarity assessment
• 2 GitHub stars

사용 사례

• Comparing global hypo- or hyper-methylation between normal and tumor samples
• Visualizing the distribution of DNA methylation across specific genomic elements
• Assessing sample similarity and identifying potential batch effects in epigenetic datasets