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Functional analysis of DNA methylome datasets

Bioconductor version: Release (3.19)

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))


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 1.0.0
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_1.0.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) knowYourCG_1.0.0.tgz
macOS Binary (arm64) knowYourCG_1.0.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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