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This is the development version of knowYourCG; for the stable release version, see knowYourCG.

Functional analysis of DNA methylome datasets

Bioconductor version: Development (3.20)

knowYourCG automates the functional analysis of DNA methylation data. The package tests the enrichment of discrete CpG probes across thousands of curated biological and technical features. GSEA-like analysis can be performed on continuous methylation data query sets. knowYourCG can also take beta matrices as input to perform feature aggregation over the curated database sets.

Author: Zhou Wanding [aut], Goldberg David [aut, cre] , Moyer Ethan [ctb]

Maintainer: Goldberg David <golddc72 at>

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


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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:

5. knowYourCG HTML R Script
Reference Manual PDF


biocViews DNAMethylation, Epigenetics, MethylationArray, Software
Version 1.1.0
In Bioconductor since BioC 3.19 (R-4.4) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.4.0)
Imports sesameData, dplyr, methods, rlang, GenomicRanges, IRanges, reshape2, S4Vectors, stats, stringr, utils
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Suggests testthat (>= 3.0.0), SummarizedExperiment, rmarkdown, knitr, sesame, gprofiler2
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Follow Installation instructions to use this package in your R session.

Source Package knowYourCG_1.1.0.tar.gz
Windows Binary
macOS Binary (x86_64) knowYourCG_1.1.0.tgz
macOS Binary (arm64) knowYourCG_1.1.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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