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

Heatmaps of Stack Profiles from Epigenetic Signals

Bioconductor version: Development (3.20)

The epistack package main objective is the visualizations of stacks of genomic tracks (such as, but not restricted to, ChIP-seq, ATAC-seq, DNA methyation or genomic conservation data) centered at genomic regions of interest. epistack needs three different inputs: 1) a genomic score objects, such as ChIP-seq coverage or DNA methylation values, provided as a `GRanges` (easily obtained from `bigwig` or `bam` files). 2) a list of feature of interest, such as peaks or transcription start sites, provided as a `GRanges` (easily obtained from `gtf` or `bed` files). 3) a score to sort the features, such as peak height or gene expression value.

Author: SACI Safia [aut], DEVAILLY Guillaume [cre, aut]

Maintainer: DEVAILLY Guillaume <gdevailly at>

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


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:

Using epistack HTML R Script
Reference Manual PDF


biocViews ChIPSeq, Coverage, GeneExpression, Preprocessing, RNASeq, Software
Version 1.11.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports GenomicRanges, SummarizedExperiment, BiocGenerics, S4Vectors, IRanges, graphics, plotrix, grDevices, stats, methods
System Requirements
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Suggests testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, EnrichedHeatmap, biomaRt, rtracklayer, covr, vdiffr, magick
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Follow Installation instructions to use this package in your R session.

Source Package epistack_1.11.0.tar.gz
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