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Updated: Jul 17, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Computational methods for analysing multiscale 3D genome organization.

Yang Zhang¹, Lorenzo Boninsegna², Muyu Yang¹

¹Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.

Nature Reviews. Genetics

|September 6, 2023

Summary

This summary is machine-generated.

New computational tools analyze genome folding and 3D genome organization, linking structure to function. Further integration of genomic and imaging data is needed to understand 3D genome structure

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Area of Science:

Genomics
Computational Biology
Molecular Biology

Background:

Advances in whole-genome mapping and imaging reveal genome's spatial organization.
Computational methods are crucial for interpreting complex 3D genome data.

Purpose of the Study:

To discuss computational tools for analyzing multiscale 3D genome organization.
To explore the links between genome structure, features, and function.

Main Methods:

Utilizing machine-learning-based methods.
Employing integrative structure-modeling frameworks.
Analyzing multiscale three-dimensional (3D) genome features.

Main Results:

Systematic, multiscale delineation of connections between 3D genome organization, genomic/epigenomic features, and nuclear components.
Revealed links between genome structure and genome function, including transcription.

Conclusions:

Computational tools have advanced the understanding of 3D genome organization and function.
Comprehensive integration of diverse genomic and imaging datasets is essential for future research into the functional role of 3D genome structure in cellular phenotypes.