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

A package for the CLIP data visualization

Bioconductor version: Development (3.20)

An easy and fast way to visualize and profile the high-throughput IP data. This package generates the meta gene profile and other profiles. These profiles could provide valuable information for understanding the IP experiment results.

Author: You Zhou [aut, cre] , Kathi Zarnack [aut]

Maintainer: You Zhou <youzhoulearning at>

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


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:

cliProfiler Vignettes HTML R Script
Reference Manual PDF


biocViews ChIPSeq, Epigenetics, Genetics, Sequencing, Software, Visualization
Version 1.11.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License Artistic-2.0
Depends S4Vectors, methods, R (>= 4.1)
Imports dplyr, rtracklayer, GenomicRanges, ggplot2, BSgenome, Biostrings, utils
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Suggests knitr, rmarkdown, bookdown, testthat, BiocStyle, BSgenome.Mmusculus.UCSC.mm10
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Follow Installation instructions to use this package in your R session.

Source Package cliProfiler_1.11.0.tar.gz
Windows Binary
macOS Binary (x86_64) cliProfiler_1.11.0.tgz
macOS Binary (arm64) cliProfiler_1.11.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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