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.
|Author||Aaron Lun [aut, cre], Gordon Smyth [aut]|
|Bioconductor views||Alignment Clustering Coverage HiC MultipleComparison Normalization Preprocessing Sequencing|
|Maintainer||Aaron Lun <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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