LTLA/diffHic: Differential Analyis of Hi-C Data
Version 1.13.5

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

AuthorAaron Lun [cre, aut], Gordon Smyth [aut]
Bioconductor views Alignment Clustering Coverage HiC MultipleComparison Normalization Preprocessing Sequencing
MaintainerAaron Lun <[email protected]>
LicenseGPL-3
Version1.13.5
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 Aug. 15, 2018, 4:34 a.m.