Meluzzi Dario, Arya Gaurav
Department of Medicine, University of California San Diego, La Jolla, CA 92093, United States.
Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, United States.
Methods. 2020 Oct 1;181-182:24-34. doi: 10.1016/j.ymeth.2019.08.008. Epub 2019 Aug 27.
Chromosome conformation capture (3C) and its variants are powerful experimental techniques for probing intra- and inter-chromosomal interactions within cell nuclei at high resolution and in a high-throughput, quantitative manner. The contact maps derived from such experiments provide an avenue for inferring the 3D spatial organization of the genome. This review provides an overview of the various computational methods developed in the past decade for addressing the very important but challenging problem of deducing the detailed 3D structure or structure population of chromosomal domains, chromosomes, and even entire genomes from 3C contact maps.
染色体构象捕获技术（3C）及其衍生技术是强大的实验技术，能够以高分辨率、高通量和定量的方式探测细胞核内的染色体内和染色体间相互作用。从这类实验中获得的接触图谱为推断基因组的三维空间组织提供了一条途径。本文综述了过去十年中开发的各种计算方法，这些方法用于解决从3C接触图谱推断染色体结构域、染色体乃至整个基因组的详细三维结构或结构群体这一非常重要但具有挑战性的问题。
