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diffHic
This is the released version of diffHic; for the devel version, see diffHic.
Differential Analysis of Hi-C Data
Bioconductor version: Release (3.22)
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.
Author: Aaron Lun, Gordon Smyth
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>, Gordon Smyth <smyth at wehi.edu.au>, Hannah Coughlin <coughlin.h at wehi.edu.au>
citation("diffHic")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("diffHic")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("diffHic")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.