2019
DOI: 10.1101/526269
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Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data

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 normalisation and multiple testing procedures that account for specific statistical properties of Capture Hi-C. We validate Chicdiff on published Promoter Cap… Show more

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Cited by 3 publications
(3 citation statements)
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“…Chicdiff (Cairns et al, 2019) was used to detect differential promoter interactions between SCC1-AID control (Aux-) and depleted (Aux+) samples, and between CTCF-AID control (Aux-) and depleted (Aux+) samples. Chicdiff uses DESeq2 (Love et al, 2014) differential interaction calling with custom feature selection, normalisation and multiple testing correction procedures.…”
Section: Differential Pchi-c Interaction Callingmentioning
confidence: 99%
See 1 more Smart Citation
“…Chicdiff (Cairns et al, 2019) was used to detect differential promoter interactions between SCC1-AID control (Aux-) and depleted (Aux+) samples, and between CTCF-AID control (Aux-) and depleted (Aux+) samples. Chicdiff uses DESeq2 (Love et al, 2014) differential interaction calling with custom feature selection, normalisation and multiple testing correction procedures.…”
Section: Differential Pchi-c Interaction Callingmentioning
confidence: 99%
“…of our recently developed differential calling pipeline for PCHi-C data, Chicdiff (Cairns et al, 2019). Integrating Chicdiff and clustering results, we defined 36,174 lost; 12,978 maintained; and 2,484 gained interactions upon cohesin depletion (Figs 2A-C and S1C).…”
Section: Introductionmentioning
confidence: 99%
“…All baitto-bait interactions were discarded. Chicdiff package 42 (v.0.6) was used to compare PCHi-C data from Vehicle and Decitabine tumours and the difference in the mean asinh-transformed CHiCAGO scores between conditions above 1 was used to prioritise the potential differential promoter-anchored interactions. Only interactions that have CHiCAGO score of more than 5 in at least 2 replicates were included for downstream analysis.…”
Section: Pchi-c Analysesmentioning
confidence: 99%