HiGlass: web-based visual exploration and analysis of genome interaction maps.

Area of Science:

• Genomics
• Bioinformatics
• Data Visualization

Background:

• Genomic data visualization is crucial for understanding complex biological information.
• Existing tools often lack the flexibility for integrating diverse data types and scales.
• Efficient navigation and sharing of genomic maps are essential for research collaboration.

Purpose of the Study:

• To introduce HiGlass, an open-source web-based visualization tool.
• To provide a rich interface for navigating 2D genomic maps and 1D tracks.
• To enable users to combine data types, synchronize views, and share customizable visualizations.

Main Methods:

• Development of an open-source visualization tool using web technologies.
• Implementation of features for rapid, multiplex, and multiscale navigation.
• Integration of 2D genomic maps with 1D genomic tracks.
• Support for combining various data types and synchronizing visualization modalities.

Main Results:

• HiGlass offers a rich interface for exploring genomic data at multiple scales.
• Users can combine diverse data types and synchronize different visualization views.
• The tool facilitates comparison of experimental conditions and analysis results.
• Interactive, customizable views can be shared with collaborators and the public.

Conclusions:

• HiGlass enhances the exploration and interpretation of genomic datasets.
• Its web-based nature and containerized application ensure broad accessibility.
• The tool supports efficient data sharing and collaboration in genomics research.