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GEM: fast association study for the interplay of Gene, Environment and Methylation

Bioconductor version: Release (3.18)

Tools for analyzing EWAS, methQTL and GxE genome widely.

Author: Hong Pan, Joanna D Holbrook, Neerja Karnani, Chee-Keong Kwoh

Maintainer: Hong Pan <pan_hong at>

Citation (from within R, enter citation("GEM")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

The GEM User's Guide HTML R Script
Reference Manual PDF


biocViews DNAMethylation, GUI, GeneExpression, GenomeWideAssociation, MethylSeq, MethylationArray, Regression, SNP, Software
Version 1.28.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License Artistic-2.0
Depends R (>= 3.3)
Imports tcltk, ggplot2, methods, stats, grDevices, graphics, utils
System Requirements
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Suggests knitr, RUnit, testthat, BiocGenerics, rmarkdown, markdown
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Follow Installation instructions to use this package in your R session.

Source Package GEM_1.28.0.tar.gz
Windows Binary
macOS Binary (x86_64) GEM_1.28.0.tgz
macOS Binary (arm64) GEM_1.28.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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