LTLA/diffHic: Differential Analyis 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

Package details

Bioconductor views Alignment Clustering Coverage HiC MultipleComparison Normalization Preprocessing Sequencing
Maintainer
LicenseGPL-3
Version1.15.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("LTLA/diffHic")
LTLA/diffHic documentation built on Oct. 31, 2018, 10:19 a.m.