Interactive visualization and exploration of Ancestral Recombination Graphs (ARGs)
Web platform: lorax.ucsc.edu | Pip package: lorax-arg
- Scalable rendering -- Interactive visualization of ARGs at biobank scale using WebGL
- Genome-wide navigation -- Traverse genomic coordinates and inspect local genealogies at recombination breakpoints
- Mutation-aware -- Trace variant inheritance through local genealogies
- Metadata integration -- Filter, color, and subset samples by population labels, phenotypes, or custom annotations
- Flexible inputs -- Supports
.trees,.trees.tsz(tskit tree sequences), and CSV-based ARG representations
pip install lorax-arg
loraxThis opens Lorax in your browser. To load a file directly (preferred for large files):
lorax --file path/to/your.treesdocker pull pratikkatte7/lorax
docker run -it -p 80:80 loraxThen open http://localhost:80 in your browser.
For more installation options (building from source, Docker builds, volume mounting, environment variables), see INSTALL.md.
| Format | Description |
|---|---|
.trees, .trees.tsz |
compatible with tskit tree sequences files; .trees.tsz is a tszip-compressed variant. |
.csv |
One row per recombination interval with genomic position, Newick tree, depth, and optional metadata |
- Explore signatures of natural selection in local genealogies
- Visualize introgression and admixture across genomic regions
- Trace ancestry of specific samples through population-scale ARGs
- Navigate from GWAS hits or functional annotations to underlying genealogical structure
If you use Lorax in your research, please cite:
Lorax: Interactive visualization of Ancestral Recombination Graphs. https://github.com/pratikkatte/lorax
Lorax is released under the MIT License.
Pratik Katte
Department of Biomolecular Engineering & Bioinformatics
University of California, Santa Cruz