koustav-pal/HiCBricks: Framework for Storing and Accessing Hi-C Data Through HDF Files

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.

Getting started

Package details

AuthorKoustav Pal [aut, cre], Carmen Livi [ctb], Ilario Tagliaferri [ctb]
Bioconductor views DataImport HiC Infrastructure Sequencing Software Technology
MaintainerKoustav Pal <[email protected]>
LicenseMIT + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
koustav-pal/HiCBricks documentation built on Nov. 6, 2019, 10:19 a.m.