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HiCBricks

Framework for Storing and Accessing Hi-C Data Through HDF Files

Bioconductor version: 3.24 · Package version: 1.31.3

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.

Installation

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

BiocManager::install("HiCBricks")

Details

MaintainerKoustav Pal <koustav.pal@ifom.eu>
AuthorKoustav Pal [aut, cre], Carmen Livi [ctb], Ilario Tagliaferri [ctb]
LicenseMIT + file LICENSE
Downloads rank606
Source branchdevel
biocViewsDataImport, HiC, Infrastructure, Sequencing, Software, Technology

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageHiCBricks_1.31.3.tar.gz
Windows binary (x86_64)HiCBricks_1.31.3.zip
macOS binary (arm64)HiCBricks_1.31.3.tgz
macOS binary (x86_64)HiCBricks_1.31.3.tgz
Dependencies

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