CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data

被引:265
作者
Cairns, Jonathan [1 ]
Freire-Pritchett, Paula [1 ]
Wingett, Steven W. [1 ,2 ]
Varnai, Csilla [1 ]
Dimond, Andrew [1 ]
Plagnol, Vincent [3 ]
Zerbino, Daniel [4 ]
Schoenfelder, Stefan [1 ]
Javierre, Biola-Maria [1 ]
Osborne, Cameron [5 ]
Fraser, Peter [1 ]
Spivakov, Mikhail [1 ]
机构
[1] Babraham Inst, Nucl Dynam Programme, Cambridge, England
[2] Babraham Inst, Bioinformat Grp, Cambridge, England
[3] UCL Genet Inst, London, England
[4] European Bioinformat Inst, European Mol Biol Lab, Cambridge, England
[5] Kings Coll London, Dept Med & Mol Genet, London, England
基金
英国医学研究理事会; 英国生物技术与生命科学研究理事会;
关键词
Gene regulation; Nuclear organisation; Promoter-enhancer interactions; Capture Hi-C; Convolution background model; P value weighting; FALSE DISCOVERY CONTROL; CAJAL BODIES; BIASES;
D O I
10.1186/s13059-016-0992-2
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Capture Hi-C (CHi-C) is a method for profiling chromosomal interactions involving targeted regions of interest, such as gene promoters, globally and at high resolution. Signal detection in CHi-C data involves a number of statistical challenges that are not observed when using other Hi-C-like techniques. We present a background model and algorithms for normalisation and multiple testing that are specifically adapted to CHi-C experiments. We implement these procedures in CHiCAGO (http://regulatorygenomicsgroup.org/chicago), an open-source package for robust interaction detection in CHi-C. We validate CHiCAGO by showing that promoter-interacting regions detected with this method are enriched for regulatory features and disease-associated SNPs.
引用
收藏
页数:17
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