Integrative Methylation-Expression Analysis

소개

Streamline the integration of epigenetic and transcriptomic data by correlating differential methylation regions (DMRs) with differential gene expression (DEGs). This skill automates the workflow of annotating methylation regions to promoters, standardizing data formats from tools like metilene and DESeq2, and calculating the correlation between methylation changes and expression fold changes. It is essential for researchers looking to identify functional epigenetic drivers and classify regulatory patterns such as hypermethylation-linked downregulation, providing a clear statistical overview of genomic regulation.

주요 기능

• Proximity-based integration of methylation and expression data
• Pattern classification for hyper/hypomethylation and up/downregulation
• Automated DMR annotation to gene promoters via HOMER integration
• Comprehensive statistical summaries and correlation visualizations
• Standardized preprocessing for metilene and DESeq2 data formats
• 2 GitHub stars

사용 사례

• Automating the bioinformatics pipeline for integrative genomic analysis
• Analyzing functional impacts of DNA methylation on gene transcription
• Identifying genes under coordinated epigenetic control in multi-omic studies