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epistack

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

Heatmaps of Stack Profiles from Epigenetic Signals


Bioconductor version: Development (3.24)

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")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

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


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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 Manual PDF
NEWS Text
LICENSE Text

Details

biocViews ChIPSeq, Coverage, GeneExpression, Preprocessing, RNASeq, Software
Version 1.19.0
In Bioconductor since BioC 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
URL https://github.com/GenEpi-GenPhySE/epistack
See More
Suggests testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, EnrichedHeatmap, biomaRt, rtracklayer, covr, vdiffr, magick
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Package Archives

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

Source Package epistack_1.19.0.tar.gz
Windows Binary (x86_64) epistack_1.19.0.zip
macOS Binary (big-sur-x86_64) epistack_1.19.0.tgz
macOS Binary (sonoma-arm64) epistack_1.19.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/epistack
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/epistack
Bioc Package Browser https://code.bioconductor.org/browse/epistack/
Package Short Url https://bioconductor.org/packages/epistack/
Package Downloads Report Download Stats