Abstract
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 CD4p T cells, identifying multitudes of cell type-specific interactions, and confirming the overall positive association between promoter interactions and gene expression.
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CITATION STYLE
Cairns, J., Orchard, W. R., Malysheva, V., & Spivakov, M. (2019). Chicdiff: A computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data. Bioinformatics, 35(22), 4764–4766. https://doi.org/10.1093/bioinformatics/btz450
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