染色体构象捕获
计算生物学
成对比较
基因组
染色质
染色体
生物
集合(抽象数据类型)
计算机科学
遗传学
人工智能
基因
基因表达
增强子
程序设计语言
作者
Bryan R. Lajoie,Job Dekker,N. Kaplan
出处
期刊:Methods
[Elsevier]
日期:2015-01-01
卷期号:72: 65-75
被引量:316
标识
DOI:10.1016/j.ymeth.2014.10.031
摘要
Over the last decade, development and application of a set of molecular genomic approaches based on the chromosome conformation capture method (3C), combined with increasingly powerful imaging approaches, have enabled high resolution and genome-wide analysis of the spatial organization of chromosomes. The aim of this paper is to provide guidelines for analyzing and interpreting data obtained with genome-wide 3C methods such as Hi-C and 3C-seq that rely on deep sequencing to detect and quantify pairwise chromatin interactions.
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