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Gene Set Enrichment For ChIP-seq Peak Data

Bioconductor version: Release (3.19)

ChIP-Enrich and Poly-Enrich perform gene set enrichment testing using peaks called from a ChIP-seq experiment. The method empirically corrects for confounding factors such as the length of genes, and the mappability of the sequence surrounding genes.

Author: Ryan P. Welch [aut, cph], Chee Lee [aut], Raymond G. Cavalcante [aut], Kai Wang [cre], Chris Lee [aut], Laura J. Scott [ths], Maureen A. Sartor [ths]

Maintainer: Kai Wang <wangdaha at>

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


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:

chipenrich_vignette HTML R Script
Reference Manual PDF


biocViews ChIPSeq, Epigenetics, FunctionalGenomics, GeneSetEnrichment, HistoneModification, ImmunoOncology, Regression, Software
Version 2.28.0
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License GPL-3
Depends R (>= 3.4.0)
Imports AnnotationDbi, BiocGenerics,, GenomeInfoDb, GenomicRanges, grDevices, grid, IRanges, lattice, latticeExtra, MASS, methods, mgcv,,,,,, parallel, plyr, rms, rtracklayer, S4Vectors(>= 0.23.10), stats, stringr, utils
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Suggests BiocStyle, devtools, knitr, rmarkdown, roxygen2, testthat
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Follow Installation instructions to use this package in your R session.

Source Package chipenrich_2.28.0.tar.gz
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macOS Binary (x86_64) chipenrich_2.28.0.tgz
macOS Binary (arm64) chipenrich_2.28.0.tgz
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