从共定位数据中确定拓扑域的鲁棒算法

A. P. Moscalets, L. Nazarov, M. Tamm
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引用次数: 4

摘要

理解基因组复杂的空间组织的最重要任务之一是从现有的实验数据中提取有关这种空间组织的信息,染色质拓扑结构域的功能和结构,特别是从基因组共定位(Hi-C)矩阵中提取信息。在这里,我们提出了一种算法,允许通过分析共定位矩阵的模块化来揭示聚合物构象的底层层次结构。我们还测试了几种模型聚合物结构:平衡球,随机分形球和规则分形(Peano)构象。我们定义了我们所谓的簇边界光谱,并表明这些光谱在平衡和分形构象中表现出惊人的不同,这使我们能够提出一个额外的标准来识别分形聚合物构象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a robust algorithm to determine topological domains from colocalization data
One of the most important tasks in understanding the complex spatial organization of the genome consists in extracting information about this spatial organization, the function and structure of chromatin topological domains from existing experimental data, in particular, from genome colocalization (Hi-C) matrices. Here we present an algorithm allowing to reveal the underlying hierarchical domain structure of a polymer conformation from analyzing the modularity of colocalization matrices. We also test this algorithm on several model polymer structures: equilibrium globules, random fractal globules and regular fractal (Peano) conformations. We define what we call a spectrum of cluster borders, and show that these spectra behave strikingly di erently for equilibrium and fractal conformations, allowing us to suggest an additional criterion to identify fractal polymer conformations.
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