Local Methylation Profiling

关于

Automates the analysis of DNA methylation density around genomic regions of interest, enabling researchers to identify epigenetic signatures associated with regulatory elements. The skill handles BED file preprocessing, calculates aggregated methylation means across customizable bins and flanking regions, and produces publication-ready visualizations. It streamlines complex bioinformatics workflows by providing context-specific parameter guidance for various biological features like CTCF peaks and transcription start sites, ensuring consistent and statistically sound data interpretation.

主要功能

• Flexible preprocessing of multi-column BED files with user-defined indices
• 2 GitHub stars
• Generation of publication-quality profile plots with mean lines and error ribbons
• Context-aware parameter recommendations for peaks, promoters, and motifs
• Automated binning and aggregation of methylation data around genomic centers
• Statistical filtering based on minimum CpG coverage thresholds

使用场景

• Analyzing epigenetic landscapes around transcription factor binding sites
• Visualizing methylation trends and signatures at specific genomic motifs
• Profiling DNA methylation levels at gene promoters and enhancers