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.

Package details

AuthorAaron Lun [aut, cre], Gordon Smyth [aut]
Bioconductor views Alignment Clustering Coverage HiC MultipleComparison Normalization Preprocessing Sequencing
MaintainerAaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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diffHic documentation built on Nov. 8, 2020, 6:02 p.m.