Package: HiCBricks
Title: Framework for Storing and Accessing Hi-C Data Through HDF Files
Version: 1.31.3
Description: HiCBricks is a library designed for handling large
        high-resolution Hi-C datasets. Over the years, the Hi-C field
        has experienced a rapid increase in the size and complexity of
        datasets. HiCBricks is meant to overcome the challenges related
        to the analysis of such large datasets within the R
        environment. HiCBricks offers user-friendly and efficient
        solutions for handling large high-resolution Hi-C datasets. The
        package provides an R/Bioconductor framework with the bricks to
        build more complex data analysis pipelines and algorithms.
        HiCBricks already incorporates example algorithms for calling
        domain boundaries and functions for high quality data
        visualization.
Date: 2025-07-22
Type: Package
Author: Koustav Pal [aut, cre], Carmen Livi [ctb], Ilario Tagliaferri
        [ctb]
Maintainer: Koustav Pal <koustav.pal@ifom.eu>
License: MIT + file LICENSE
Depends: R (>= 3.6), utils, curl, rhdf5, R6, grid
Imports: ggplot2, viridis, RColorBrewer, scales, reshape2, stringr,
        data.table, Seqinfo, GenomicRanges, stats, IRanges, grDevices,
        S4Vectors, digest, tibble, jsonlite, BiocParallel, R.utils,
        readr, methods
Suggests: BiocStyle, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.0.1
biocViews: DataImport, Infrastructure, Software, Technology,
        Sequencing, HiC
Config/pak/sysreqs: libicu-dev libssl-dev libx11-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-07-10 02:31:04 UTC
RemoteUrl: https://github.com/bioc/HiCBricks
RemoteRef: HEAD
RemoteSha: 865156f275fb712924d01948ff270c2ce4ed8362
NeedsCompilation: no
Packaged: 2026-07-10 05:53:07 UTC; root