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

被引:11
|
作者
Cairns, Jonathan [1 ,2 ]
Orchard, William R. [1 ,3 ,4 ,5 ]
Malysheva, Valeriya [1 ,3 ,4 ]
Spivakov, Mikhail [1 ,3 ,4 ]
机构
[1] Babraham Inst, Nucl Dynam Programme, Regulatory Genom Grp, Cambridge CB22 3AT, England
[2] AstraZeneca, BioPharmaceut R&D, Discovery Sci, Data Sci & Quantitat Biol, Cambridge CB4 0WG, England
[3] MRC, London Inst Med Sci, Epigenet Sect, Funct Gene Control Grp, London W12 0NN, England
[4] Imperial Coll, Fac Med, Inst Clin Sci, London W12 0NN, England
[5] Univ Cambridge, Dept Biochem, Cambridge CB2 1QW, England
基金
英国科研创新办公室;
关键词
D O I
10.1093/bioinformatics/btz450
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The 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.
引用
收藏
页码:4764 / 4766
页数:3
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