HyperTree
HyperTree visualizes large phylogenetic trees using hyperbolic-space rendering and a fish-eye focus+context approach to enable exploration of evolutionary relationships and taxonomic structure within confined display areas.
Key Features:
- Hyperbolic Visualization: Employs hyperbolic geometry to scale and render large trees so global structure and local detail are simultaneously represented.
- Fish-eye Focus+Context: Implements a fish-eye focus+context view to magnify regions of interest while preserving overall tree context.
- Color-Coding: Incorporates color-coding of branches and nodes to distinguish different branches or nodes within complex trees.
- Search Mechanisms: Provides integrated search mechanisms to locate specific nodes or labels within large phylogenetic datasets.
- Java Implementation: Implemented as a Java application.
Scientific Applications:
- Visualization of Evolutionary Relationships: Rendering large phylogenetic trees to inspect evolutionary relationships across taxa.
- Analysis of Genetic Diversity: Enabling inspection of extensive trees to support analyses related to genetic diversity.
- Exploration of Taxonomic Classifications: Facilitating exploration of taxonomic classifications across large biological datasets.
- Large-scale Species and Genealogical Studies: Supporting studies that involve extensive species sampling or genealogical information.
Methodology:
Renders trees in hyperbolic space using a fish-eye focus+context visualization approach and is implemented in Java.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 12/18/2017
- Last Updated:
- 12/14/2018
Operations
Publications
Bingham J, Sudarsanam S. Visualizing large hierarchical clusters in hyperbolic space. Bioinformatics. 2000;16(7):660-661. doi:10.1093/bioinformatics/16.7.660. PMID:11038340.
PMID: 11038340