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Acquisition and Analysis Methods for Hi-C Data from Medaka Early Embryos.

Ryohei Nakamura
Published in: Methods in molecular biology (Clifton, N.J.) (2024)
The three-dimensional (3D) structure of the genome undergoes dynamic changes during the developmental process. While Hi-C is a technique that enables the acquisition of genome 3D structure data across various species and cell types, existing Hi-C analysis programs may face challenges in detecting and comparing structures effectively depending on the characteristics of the genome or cell type. Here, we describe a method for acquiring Hi-C data from medaka early embryos and quantifying the structural changes during the developmental process.
Keyphrases
  • electronic health record
  • big data
  • genome wide
  • public health
  • single cell
  • stem cells
  • gene expression
  • high resolution
  • dna methylation
  • mass spectrometry
  • mesenchymal stem cells