Package: epistack
Title: Heatmaps of Stack Profiles from Epigenetic Signals
Version: 1.17.0
Authors@R: c(person("SACI", "Safia", email = "safiasaci1995@gmail.com", role = "aut"),
    person("DEVAILLY", "Guillaume",
        email = "gdevailly@hotmail.com", role = c("cre", "aut")))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Imports: 
    GenomicRanges,
    SummarizedExperiment,
    BiocGenerics,
    S4Vectors,
    IRanges,
    graphics,
    plotrix,
    grDevices,
    stats,
    methods
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.0
Depends: 
    R (>= 4.1)
Suggests: 
    testthat (>= 3.0.0),
    BiocStyle,
    knitr,
    rmarkdown,
    EnrichedHeatmap,
    biomaRt,
    rtracklayer,
    covr,
    vdiffr,
    magick
Config/testthat/edition: 3
VignetteBuilder: knitr
biocViews: RNASeq, Preprocessing, ChIPSeq, GeneExpression, Coverage
URL: https://github.com/GenEpi-GenPhySE/epistack
git_url: https://git.bioconductor.org/packages/epistack
git_branch: devel
git_last_commit: d86c320
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
