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.
|Author||Koustav Pal [aut, cre], Carmen Livi [ctb], Ilario Tagliaferri [ctb]|
|Bioconductor views||DataImport HiC Infrastructure Sequencing Software Technology|
|Maintainer||Koustav Pal <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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