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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
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geomeTriD: a Bioconductor package for interactive and integrative visualization of 3D structural model with
Jianhong Ou1, Kenneth D Poss1,2
1Morgridge Institute for Research, Madison, WI 53715, United States.
Bioinformatics Advances
|December 16, 2025
Summary
GeomeTriD is a new R package for visualizing and comparing 3D genome structures. It enables interactive exploration of chromatin organization and aids in understanding gene regulation across different conditions.
Area of Science:
- Genomics
- Computational Biology
- Bioinformatics
Background:
- The three-dimensional genome organization is crucial for gene expression regulation.
- High-throughput chromosome conformation capture (Hi-C) and other methods map chromatin dynamics.
- Comparing and integrating multi-layer genomic annotations of chromatin structure is challenging.
Purpose of the Study:
- To develop a flexible R-integrated framework for interactive 3D genome visualization and comparison.
- To address limitations in existing tools for exploring chromatin structures across conditions and with custom annotations.
Main Methods:
- Developed geomeTriD, an R/Bioconductor package.
- Utilized three.js for interactive 3D chromatin structure visualization.
- Integrated multi-layer annotation capabilities and side-by-side comparison of chromatin states.
- Ensured compatibility with Shiny-based analysis workflows.
Main Results:
- GeomeTriD provides interactive visualization of chromatin structures.
- The package supports multi-layer genomic annotation.
- It allows parallel comparison of two distinct chromatin states.
- GeomeTriD is compatible with Shiny applications for advanced analysis.
Conclusions:
- GeomeTriD facilitates the reconstruction and comparison of 3D genome structures.
- It links chromatin architecture to gene regulation, epigenetic states, and cell-state transitions.
- The package will aid researchers in analyzing complex multi-omic and spatial genomic datasets.
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