
CMEnt: Characterization of Methylation using positional ENTanglement
Source:R/CMEnt-package.R
CMEnt-package.RdCMEnt is a comprehensive tool for identifying Differentially Methylated Regions (DMRs) from genomic seeds, commonly Differentially Methylated Positions (DMPs). The package uses a correlation-based approach to expand regions around significant seeds, considering both statistical significance and biological relevance of methylation changes.
Main Functions
buildDMRs: Identify DMRs from genomic seedsextractDMRMotifs: Extract sequence motifs from DMRscomputeDMRsInteraction: Compute motif-based DMR interactionsplotDMR: Visualize individual DMRs with structure, beta values, and motifsplotDMRs: Create multi-panel DMR plotsplotDMRsCircos: Generate circos plots with DMR interactionsplotDMRsManhattan: Generate genome-wide Manhattan-style plots for DMR scores
Input Data
The package accepts multiple types of methylation data input:
Beta value files: Tab-separated files containing methylation beta values
Tabix files: Indexed bed.gz files for efficient access to large datasets
BED files: Custom methylation BED files (automatically converted to tabix)
Beta matrices: In-memory beta value matrices
Platform Support
The package supports methylation data from multiple platforms:
Human arrays: 450K, EPIC (850k), EPICv2, 27K on hg19, hg38, or hs1
Mouse arrays: mm10, mm39 genomes
NGS data: Via tabix-indexed files
Custom platforms: Via BED file input
Workflow
Start with genomic seeds (e.g., DMPs) from any differential analysis
Provide methylation data (multiple formats supported)
Define parameters for region expansion and connectivity
Get DMRs as a GRanges object with comprehensive statistics
Optionally extract motifs and compute DMR interactions
Visualize with structure plots, heatmaps, and circos plots
Author
Maintainer: Vasileios Lemonidis vasileios.lemonidis@uantwerpen.be (ORCID) [copyright holder]
Authors:
Vasileios Lemonidis vasileios.lemonidis@uantwerpen.be (ORCID) [copyright holder]
Other contributors:
Center for Oncological Research, University of Antwerp [copyright holder, funder]
Stichting Tegen Kanker [funder]