The three-dimensional (3D) structure of chromosomes is of great significance to ensure that the genome performs various functions (e.g., gene expression) correctly and replicates and separates correctly in mitosis. Since the emergence of Hi-C in 2009, a new experimental technique in molecular biology, researchers have been paying more and more attention to the reconstruction of chromosome 3D structure. To reconstruct the 3D structure of chromosomes based on Hi-C experimental data, many algorithms have been proposed, among which ShRec3D is one of the most outstanding. In this article, an iterative ShRec3D algorithm is presented to greatly improve the native ShRec3D algorithm. Experimental results show that our algorithm can significantly promote the performance of ShRec3D, and this improvement is applicable to almost all data noise range and signal coverage range, so it is universal.

中文翻译：

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染色体三维结构重建：迭代 ShRec3D 算法。

染色体的三维（3D）结构对于确保基因组正确执行各种功能（例如基因表达）以及在有丝分裂中正确复制和分离具有重要意义。自2009年Hi-C这一分子生物学实验新技术出现以来，研究人员越来越关注染色体三维结构的重建。为了基于 Hi-C 实验数据重建染色体的 3D 结构，人们提出了许多算法，其中 ShRec3D 是最杰出的算法之一。在本文中，提出了一种迭代 ShRec3D 算法，以极大地改进原生 ShRec3D 算法。实验结果表明，我们的算法可以显着提升ShRec3D的性能，