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epistack

Heatmaps of Stack Profiles from Epigenetic Signals

Bioconductor version: 3.23 · Package version: 1.18.0

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.

Installation

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

BiocManager::install("epistack")

Details

MaintainerDEVAILLY Guillaume <gdevailly@hotmail.com>
AuthorSACI Safia [aut], DEVAILLY Guillaume [cre, aut]
LicenseMIT + file LICENSE
URLhttps://github.com/GenEpi-GenPhySE/epistack
Downloads rank284
Source branchRELEASE_3_23
biocViewsChIPSeq, Coverage, GeneExpression, Preprocessing, RNASeq, Software

Documentation

Download

Dependencies

Depends: R (>= 4.1)

Imports: GenomicRanges, SummarizedExperiment, BiocGenerics, S4Vectors, IRanges, graphics, plotrix, grDevices, stats, methods

Suggests: testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, EnrichedHeatmap, biomaRt, rtracklayer, covr, vdiffr, magick