HiCube: interactive visualization of multiscale and multimodal Hi-C and 3D genome data

Area of Science:

• Genomics
• Computational Biology
• Bioinformatics

Background:

• Understanding the three-dimensional (3D) genome organization is crucial for deciphering gene regulation and cellular function.
• Existing tools may lack integrated visualization of different genomics data types at multiple resolutions.

Purpose of the Study:

• To introduce HiCube, a novel web application for interactive visualization of genomics data.
• To facilitate the integrated exploration of Hi-C contact maps and 3D genome structures.
• To support the study of 3D genome organization and its functional implications.

Main Methods:

• Developed a lightweight web application using Javascript.
• Implemented interactive and synchronized views of Hi-C contact maps and 3D genome structures.
• Integrated user-friendly annotation and configuration tools.

Main Results:

• HiCube provides a platform for multiscale visualization of diverse genomics data.
• The tool enables synchronized exploration of Hi-C data and corresponding 3D genome models.
• User-friendly features enhance the accessibility of complex genomics data analysis.

Conclusions:

• HiCube offers an effective solution for interactive genomics data visualization.
• The application aids researchers in studying the relationship between 3D genome structure and function.
• HiCube is freely available, promoting wider adoption in the research community.