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Updated: Jun 9, 2026
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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
Published on: May 6, 2010
Genome3D: a viewer-model framework for integrating and visualizing multi-scale epigenomic information within a
Thomas M Asbury1, Matt Mitman, Jijun Tang
1Department of Biochemistry & Molecular Biology, Medical University of South Carolina, 135 Cannon Street, Suite 303E, Charleston, SC 29425, USA.
BMC Bioinformatics
|September 4, 2010
Summary
A new tool, Genome3D, integrates and visualizes diverse genomic and epigenomic data in 3D. This software helps uncover complex structural relationships within the human genome by handling multi-resolution data effectively.
Area of Science:
- Genomics
- Epigenomics
- Structural Biology
- Bioinformatics
Background:
- Emerging technologies enable measurement of atomic to nuclear scale genomic and epigenomic data.
- Much of this data is structural, posing challenges for integration and coordination.
- A need exists for tools to integrate and visualize disparate datasets, revealing hidden structural relationships.
Purpose of the Study:
- To develop a novel software tool for integrating and visualizing structural genomic and epigenomic data.
- To create a 3D physical model of the human genome for data display.
- To address the challenge of coordinating and visualizing large, disparate datasets.
Main Methods:
- Application of object-oriented technology to create the Genome3D visualization tool.
- Development of novel statistical and mathematical approaches for data size reduction.
- Implementation of a multi-scale data framework within a 3D physical genome model.
Main Results:
- Genome3D, a downloadable tool, integrates and displays epigenomic data in a 3D human genome model.
- Novel methods effectively reduce data size for integration and visualization.
- Demonstration of multi-resolution data integration issues and benefits.
Conclusions:
- Genome3D visualizes diverse structural genomic and epigenetic data using a hierarchical framework.
- The tool adapts to new developments in physical genome structure.
- Genome3D uniquely manipulates large, multi-resolution data to reveal complex genomic relationships.
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