To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("diffHic")

In most cases, you don't need to download the package archive at all.

diffHic

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see diffHic.

Differential analyis of Hi-C data

Bioconductor version: 3.2

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 <alun at wehi.edu.au>

Maintainer: Aaron Lun <alun at wehi.edu.au>

Citation (from within R, enter citation("diffHic")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("diffHic")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("diffHic")
PDF diffHic Vignette
PDF diffHicUsersGuide.pdf
PDF Reference Manual
Text NEWS

Details

Version 1.2.2
In Bioconductor since BioC 3.1 (R-3.2) (1 year)
License GPL-3
Depends R (>= 3.2.0), GenomicRanges
LinkingTo
SystemRequirements
Enhances
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Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source diffHic_1.2.2.tar.gz
Windows Binary diffHic_1.2.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) diffHic_1.2.0.tgz
Package Downloads Report Download Stats

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