Portal de Periódicos da CAPES

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

2016; BioMed Central; Volume: 17; Issue: 1 Linguagem: Inglês

10.1186/s13059-016-0992-2

1474-760X

Jonathan Cairns, Paula Freire-Pritchett, Steven W. Wingett, Csilla Várnai, Andrew Dimond, Vincent Plagnol, Daniel R. Zerbino, Stefan Schoenfelder, Biola M. Javierre, Cameron S. Osborne, Peter Fraser, Mikhail Spivakov,

RNA Research and Splicing

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.