Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data

Bioinformatics. 2019 Nov 1;35(22):4764-4766. doi: 10.1093/bioinformatics/btz450.

Abstract

Summary: Capture Hi-C is a powerful approach for detecting chromosomal interactions involving, at least on one end, DNA regions of interest, such as gene promoters. We present Chicdiff, an R package for robust detection of differential interactions in Capture Hi-C data. Chicdiff enhances a state-of-the-art differential testing approach for count data with bespoke normalization and multiple testing procedures that account for specific statistical properties of Capture Hi-C. We validate Chicdiff on published Promoter Capture Hi-C data in human Monocytes and CD4+ T cells, identifying multitudes of cell type-specific interactions, and confirming the overall positive association between promoter interactions and gene expression.

Availability and implementation: Chicdiff is implemented as an R package that is publicly available at https://github.com/RegulatoryGenomicsGroup/chicdiff.

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chromatin*
  • Chromosomes*
  • Humans
  • Promoter Regions, Genetic
  • Software*

Substances

  • Chromatin