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epistack

This is the released version of epistack; for the devel version, see epistack.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14

Heatmaps of Stack Profiles from Epigenetic Signals


Bioconductor version: Release (3.23)

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 hotmail.com>

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

SACI Safia, DEVAILLY Guillaume. epistack: Heatmaps of Stack Profiles from Epigenetic Signals. doi:10.18129/B9.bioc.epistack, R package version 1.18.0, https://bioconductor.org/packages/epistack.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("epistack")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("epistack")
Using epistack HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews ChIPSeq, Coverage, GeneExpression, Preprocessing, RNASeq, Software
Version1.18.0
In Bioconductor sinceBioC 3.14 (R-4.1) (5 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports GenomicRanges, SummarizedExperiment, BiocGenerics, S4Vectors, IRanges, graphics, plotrix, grDevices, stats, methods
System Requirements
URLhttps://github.com/GenEpi-GenPhySE/epistack
See More
Suggests testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, EnrichedHeatmap, biomaRt, rtracklayer, covr, vdiffr, magick
Linking To
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Depends On Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package epistack_1.18.0.tar.gz
Windows Binary (x86_64) epistack_1.18.0.zip
macOS Binary (big-sur-x86_64) epistack_1.18.0.tgz
macOS Binary (sonoma-arm64) epistack_1.18.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/epistack
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/epistack
Package Short Url https://bioconductor.org/packages/epistack/
Package Downloads ReportDownload Stats