diffHic: Differential Analyis of Hi-C Data
Version 1.10.0

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 <[email protected]>
Bioconductor views Alignment Clustering Coverage HiC MultipleComparison Normalization Preprocessing Sequencing
MaintainerAaron Lun <[email protected]>
LicenseGPL-3
Version1.10.0
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 Nov. 17, 2017, 8:30 a.m.