Package: HiCBricks
Title: Framework for Storing and Accessing Hi-C Data Through HDF Files
Version: 1.5.5
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: 2019-08-24
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, GenomeInfoDb, 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
git_url: https://git.bioconductor.org/packages/HiCBricks
git_branch: master
git_last_commit: be5e9dd
git_last_commit_date: 2020-03-02
Date/Publication: 2020-03-10
NeedsCompilation: no
Packaged: 2020-03-11 07:05:23 UTC; biocbuild
Built: R 4.0.0; ; 2020-03-11 16:50:20 UTC; windows
