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 <[email protected]>
Package repositoryView on Bioconductor
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diffHic documentation built on May 6, 2019, 3:31 a.m.