LTLA/diffHic: Differential Analysis of Hi-C Data
Detects differential interactions across biological conditions in a Hi-C experiment. Methods are provided for read alignment and data pre-processing into interaction counts. Statistical analysis is based on edgeR and supports normalization and filtering. Several visualization options are also available.
Getting started
Browse package contents
Package details |
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| Author | Aaron Lun, Gordon Smyth |
| Bioconductor views | Alignment Clustering Coverage HiC MultipleComparison Normalization Preprocessing Sequencing |
| Maintainer | Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>, Gordon Smyth <smyth@wehi.edu.au>, Hannah Coughlin <coughlin.h@wehi.edu.au> |
| License | GPL-3 |
| Version | 1.39.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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