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dmGsea

Efficient Gene Set Enrichment Analysis for DNA Methylation Data

Bioconductor version: 3.24 · Package version: 1.3.4

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

The R package dmGsea provides efficient gene set enrichment analysis specifically for DNA methylation data. It addresses key biases, including probe dependency and varying probe numbers per gene. The package supports Illumina 450K, EPIC, and mouse methylation arrays. Users can also apply it to other omics data by supplying custom probe-to-gene mapping annotations. dmGsea is flexible, fast, and well-suited for large-scale epigenomic studies.

DOI: 10.18129/B9.bioc.dmGsea

Installation

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

BiocManager::install("dmGsea")

Details

MaintainerZongli Xu <xuz@niehs.nih.gov>
AuthorZongli Xu [cre, aut] (ORCID: <https://orcid.org/0000-0002-9034-8902>), Alison Motsinger-Reif [aut], Liang Niu [aut]
LicenseArtistic-2.0
URLhttps://github.com/Bioconductor/dmGsea
Bug Reportshttps://github.com/Bioconductor/dmGsea/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsCopyNumberVariation, Coverage, DNAMethylation, GeneExpression, GeneSetEnrichment, GenomicVariation, Pathways, Proteomics, Sequencing, Software
Package Short Url https://bioconductor.org/packages/dmGsea/

Citation

From within R, enter citation("dmGsea"):

Zongli Xu, Alison Motsinger-Reif, Liang Niu. dmGsea: Efficient Gene Set Enrichment Analysis for DNA Methylation Data. doi:10.18129/B9.bioc.dmGsea, R package version 1.3.4, https://bioconductor.org/packages/dmGsea.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagedmGsea_1.3.4.tar.gz
Windows binary (x86_64)dmGsea_1.3.4.zip
macOS binary (arm64)dmGsea_1.3.4.tgz
macOS binary (x86_64)dmGsea_1.3.4.tgz
Dependencies

Depends: utils, stats, parallel, Matrix, SummarizedExperiment, methods, R (>= 3.5.0)

Imports: dqrng, AnnotationDbi, poolr, BiasedUrn, GenomeInfoDb

Suggests: msigdbr, org.Hs.eg.db, org.Mm.eg.db, minfi, knitr, rmarkdown, GO.db, KEGGREST, testthat, IlluminaHumanMethylationEPICanno.ilm10b4.hg19, IlluminaHumanMethylation450kanno.ilmn12.hg19, BiocStyle, RUnit