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coMethDMR

Accurate identification of co-methylated and differentially methylated regions in epigenome-wide association studies

Bioconductor version: 3.23 · Package version: 1.16.0

coMethDMR identifies genomic regions associated with continuous phenotypes by optimally leverages covariations among CpGs within predefined genomic regions. Instead of testing all CpGs within a genomic region, coMethDMR carries out an additional step that selects co-methylated sub-regions first without using any outcome information. Next, coMethDMR tests association between methylation within the sub-region and continuous phenotype using a random coefficient mixed effects model, which models both variations between CpG sites within the region and differential methylation simultaneously.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("coMethDMR")

Details

MaintainerFernanda Veitzman <fveit001@fiu.edu>
AuthorFernanda Veitzman [cre], Lissette Gomez [aut], Tiago Silva [aut], Ning Lijiao [ctb], Boissel Mathilde [ctb], Lily Wang [aut], Gabriel Odom [aut]
LicenseGPL-3
URLhttps://github.com/TransBioInfoLab/coMethDMR
Bug Reportshttps://github.com/TransBioInfoLab/coMethDMR/issues
Downloads rank246
Source branchRELEASE_3_23
biocViewsDNAMethylation, DifferentialMethylation, Epigenetics, GenomeWideAssociation, MethylationArray, Software

Documentation

Download

Dependencies

Depends: R (>= 4.1)

Imports: AnnotationHub, BiocParallel, bumphunter, ExperimentHub, GenomicRanges, IRanges, lmerTest, methods, stats, utils

Suggests: BiocStyle, corrplot, knitr, rmarkdown, testthat, IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylationEPICanno.ilm10b4.hg19