Tsbrowse: an interactive browser for Ancestral Recombination Graphs
Tsbrowse is installed as a Python package from PyPI (https://pypi.org/project/tsbrowse/), while a development version is maintained at https://github.com/tskit-dev/tsbrowse. Documentation is available at https://tskit.dev/tsbrowse/docs/. Source code is archived on Zenodo with DOI, https://doi.org/10.5281/zenodo.15683039.
Authors
- Jerome Kelleher (ORCID: https://orcid.org/0000-0002-7894-5253)
- Savita Karthikeyan (ORCID: https://orcid.org/0000-0002-4798-5746)
- Ben Jeffery (ORCID: https://orcid.org/0000-0002-1982-6801)
- Duncan Mbuli-Robertson (ORCID: https://orcid.org/0000-0002-1660-2415)
Institutions
- The George Institute for Global Health (GB)
- University of Oxford (GB)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-07-12
- DOI
- https://doi.org/10.1093/bioinformatics/btaf393
- Citations
- 1
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- Robertson Foundation
- UK Research and Innovation
- Novo Nordisk
- National Institutes of Health
- Directorate for Biological Sciences
- Engineering and Physical Sciences Research Council
- Biotechnology and Biological Sciences Research Council
- Division of Materials Research