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<p>The three-dimensional structure of chromosomes is integral to nuclear organization and influences processes such as DNA replication, repair, and gene expression. Hi-C methods generate high-resolution, genome-wide data that map physical interactions between different parts of the chromatin. These data have applications in <i>de novo</i> genome assembly, the detection of structural variants, and the analysis of gene regulatory mechanisms. This report describes a Hi-C dataset from the frontal cortex of laboratory rats. The dataset includes a diverse panel of inbred strains (SHR/OlaIpcv, BN-Lx/Cub, BXH6/Cub, HXB2/Ipcv, HXB10/Ipcv, HXB23/Ipcv, HXB31/Ipcv, LE/Stm, F344/Stm) and an F1 hybrid (SHR/Olalpcv × BN/NHsdMcwi). This data set provides a valuable resource for advancing rat genomics and offers opportunities for integration with other omic datasets generated using this widely used model organism.</p>

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Hi-C sequencing data from frontal cortex of laboratory rats

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月4日

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  • Panjun Kim,
  • Rachel R. Ward,
  • Burt M. Sharp,
  • Robert W. Williams,
  • Hao Chen

摘要

The three-dimensional structure of chromosomes is integral to nuclear organization and influences processes such as DNA replication, repair, and gene expression. Hi-C methods generate high-resolution, genome-wide data that map physical interactions between different parts of the chromatin. These data have applications in de novo genome assembly, the detection of structural variants, and the analysis of gene regulatory mechanisms. This report describes a Hi-C dataset from the frontal cortex of laboratory rats. The dataset includes a diverse panel of inbred strains (SHR/OlaIpcv, BN-Lx/Cub, BXH6/Cub, HXB2/Ipcv, HXB10/Ipcv, HXB23/Ipcv, HXB31/Ipcv, LE/Stm, F344/Stm) and an F1 hybrid (SHR/Olalpcv × BN/NHsdMcwi). This data set provides a valuable resource for advancing rat genomics and offers opportunities for integration with other omic datasets generated using this widely used model organism.