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Hi-C、Capture Hi-C 和 Capture-C 数据的计算处理和质量控制。

Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data.

机构信息

The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA.

Institute of Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany.

出版信息

Genes (Basel). 2019 Jul 18;10(7):548. doi: 10.3390/genes10070548.

Abstract

Hi-C, capture Hi-C (CHC) and Capture-C have contributed greatly to our present understanding of the three-dimensional organization of genomes in the context of transcriptional regulation by characterizing the roles of topological associated domains, enhancer promoter loops and other three-dimensional genomic interactions. The analysis is based on counts of chimeric read pairs that map to interacting regions of the genome. However, the processing and quality control presents a number of unique challenges. We review here the experimental and computational foundations and explain how the characteristics of restriction digests, sonication fragments and read pairs can be exploited to distinguish technical artefacts from valid read pairs originating from true chromatin interactions.

摘要

Hi-C、capture Hi-C(CHC)和 Capture-C 通过对拓扑相关结构域、增强子-启动子环和其他三维基因组相互作用的作用进行特征描述,极大地促进了我们目前对转录调控背景下基因组三维结构的理解。该分析基于可映射到基因组相互作用区域的嵌合读取对的计数。然而,处理和质量控制带来了一些独特的挑战。我们在这里回顾了实验和计算基础,并解释了如何利用限制酶消化、超声片段和读取对的特性来区分来自真实染色质相互作用的真实读取对和技术伪影。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45f1/6678864/a1dbdc9ab5ff/genes-10-00548-g001.jpg

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