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Chromosome Three-Dimensional Structure Reconstruction: An Iterative ShRec3D Algorithm.
Li, Fang-Zhen; Zhang, Xue-Fen; Cai, Hui-Ying; Ran, Ling-Qiang; Zhou, Hai-Yan; Liu, Zhi-E.
Afiliação
  • Li FZ; School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China.
  • Zhang XF; College of Smart City, Beijing Union University, Beijing, China.
  • Cai HY; School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China.
  • Ran LQ; School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China.
  • Zhou HY; Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
  • Liu ZE; College of Physics and Electronic Engineering, Qilu Normal University, Jinan, China.
J Comput Biol ; 30(5): 575-587, 2023 05.
Article em En | MEDLINE | ID: mdl-36847350
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromossomos / Estruturas Cromossômicas Tipo de estudo: Prognostic_studies Idioma: En Revista: J Comput Biol Assunto da revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromossomos / Estruturas Cromossômicas Tipo de estudo: Prognostic_studies Idioma: En Revista: J Comput Biol Assunto da revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China