diffHic: Differential Analyis of Hi-C Data
Version 1.8.1

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.

Package details

AuthorAaron Lun <alun@wehi.edu.au>
Bioconductor views Alignment Clustering Coverage HiC MultipleComparison Normalization Preprocessing Sequencing
MaintainerAaron Lun <alun@wehi.edu.au>
LicenseGPL-3
Version1.8.1
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("diffHic")

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diffHic documentation built on May 31, 2017, 3:29 p.m.