HiCORE: Hi-C analysis for identification of core chromatin loops with higher resolution and reliability

Lee, H.; Seo, P. J.

doi:10.1101/2020.10.01.322024

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bioRxiv · 10.1101/2020.10.01.322024

HiCORE: Hi-C analysis for identification of core chromatin loops with higher resolution and reliability

Lee, H.·Seo, P. J.

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Abstract

Genome-wide chromosome conformation capture (3C)-based high-throughput sequencing (Hi-C) has enabled identification of genome-wide chromatin loops. Because the Hi-C map with restriction fragment resolution is intrinsically associated with sparsity and stochastic noise, Hi-C data are usually binned at particular intervals; however, the binning method has limited reliability, especially at high resolution. Here, we describe a new method called HiCORE, which provides simple pipelines and algorithms to overcome the limitations of single-layered binning and predict core chromatin regions with 3D physical interactions. In this approach, multiple layers of binning with slightly shifted genome coverage are generated, and interacting bins at each layer are integrated to infer narrower regions of chromatin interactions. HiCORE predicts chromatin looping regions with higher resolution and contributes to the identification of the precise positions of potential genomic elements. Author SummaryThe Hi-C analysis has enabled to obtain information on 3D interaction of genomes. While various approaches have been developed for the identification of reliable chromatin loops, binning methods have been limitedly improved. We here developed HiCORE algorithm that generates multiple layers of bin-array and specifies core chromatin regions with 3D interactions. We validated our algorithm and provided advantages over conventional binning method. Overall, HiCORE facilitates to predict chromatin loops with higher resolution and reliability, which is particularly relevant in analysis of small genomes.

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Lee, H., Seo, P. J.. 2020-10-01. HiCORE: Hi-C analysis for identification of core chromatin loops with higher resolution and reliability. https://doi.org/10.1101/2020.10.01.322024

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