Visual Exploration and Comparison of Genomic Contact Matrices and Tracks
HiGlass is a web-based tool for visually exploring and comparing 2D genomic contact matrices, 1D genomic tracks, or other datasets too large to view at once. It features synchronized navigation of multiple views as well as continuous zooming and panning for navigation across genomic loci and resolutions. It supports visual comparison of genomic (e.g., Hi-C, ChIP-seq, or bed annotations) and other data (e.g., geographic maps, gigapixel images, or abstract 1D and 2D sequential data) from different experimental conditions and can be used to efficiently identify salient outcomes of experimental perturbations, generate new hypotheses, and share the results with the community.
Project website: higlass.io
Source code: github.com/higlass/higlass
| Release Date: |
June, 2019 |
| Status: | |
| Availability: | |
| Data type: | |
| Techniques: | 2D, Dynamic mapping, Geospatial representation, Spatial representation |
| Software: | Installed, Package or library, Web based |
| Technology: | JavaScript, WebGL, PixiJS, ReactJS, Python, Django, Flask, Docker, Redis |
| Platform: | Android, IOS, Linux, Mac OSX, Windows |
| Requirements: |
Project development
HiGlass is a fast visualization tool for large Hi-C and other genomic data sets. It was created by Peter Kerpedjiev at the Gehlenborg Lab at Harvard Medical School in close collaboration with the Visual Computing Group at Harvard John A. Paulson School of Engineering and Applied Sciences, and Mirny Lab at Massachusetts Institute of Technology as part of the 4D Nucleome Project's Data Coordination and Integration Center.
Last updated on 17th June, 2019
