Back to search

Article

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

2019-01-22

Abstract excerpt

<h4>Summary</h4> 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. ChiScdiff enhances a state-of-the-art differential testing approach for count data with bespoke normalisation and multiple testing proced...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7d774ca8-324e-533e-94d1-bef1a816acb1
DOI
10.1101/526269
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C dataDOI 10.1101/526269
CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data.Semantic proximity
CHiCAGO: Robust Detection of DNA Looping Interactions in Capture Hi-C dataSemantic proximity
scHiCcompare: an R package for differential analysis of single-cell Hi-C dataSemantic proximity
Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolutionSemantic proximity
Identifying high-confidence capture Hi-C interactions using CHiCANE.Semantic proximity
FIREcaller: Detecting Frequently Interacting Regions from Hi-C DataSemantic proximity
MaxHiC: robust estimation of chromatin interaction frequency in Hi-C and capture Hi-C experimentsSemantic proximity
Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters.Semantic proximity
DiffGR: Detecting Differentially Interacting Genomic Regions from Hi-C Contact MapsSemantic proximity
BART3D: Inferring transcriptional regulators associated with differential chromatin interactions from Hi-C dataSemantic proximity
Combined promoter-capture Hi-C and Hi-C analysis reveals a fine-tuned regulation of 3D chromatin architecture in colorectal cancerSemantic proximity
HiCcompare: a method for joint normalization of Hi-C datasets and differential chromatin interaction detectionSemantic proximity
Select a neighboring publication to make it the new centre.