aryeelab/sparseHiC: Efficient compression and analysis of Hi-C Data
A set of functions to compress output from common Hi-C pre-processing tools and transforming them into efficient sparse matrices for further downstream analyses, including visualization, library normalization, differential boundary calls, etc.
Getting started
Browse package contents
Package details |
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| Author | Caleb Lareau [aut, cre], Martin Aryee [aut] |
| Bioconductor views | DataImport DataRepresentation GO Preprocessing QualityControl Visualization |
| Maintainer | Caleb Lareau <caleblareau@g.harvard.edu> |
| License | MIT + file LICENSE |
| Version | 0.4.3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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