Colgen - Collective Genealogies Visualisation and Analysis
Description
Colgen is a python package to visualise and analyse collective-level genealogies. Its features include:
- Visualise propagation-replacement data in the form of a tree where each node correspond to a collective, interactively (served locally as HTML) or statically (using the python API).
- Build a Binary Bayesian Network representation of the genealogy where each node display (1) or not (0) a mutation. Use a Maximum-a-posteriori method to infer probable the location of mutations in the genealogy (from a few sequenced points).
- Build a Continuous Bayesian Network representation of the genealogy where each node is associated with a survival probability. Use a Maximum-a-posteriori method to infer locations in the genealogy where this probability changes.
For more information see the readme file. Development is ongoing.
Notes
Files
colgen-2.0b1.zip
Files
(10.0 MB)
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Additional details
Related works
- Is cited by
- Preprint: 10.1101/2024.05.01.592015 (DOI)
- Is described by
- Thesis: https://pastel.archives-ouvertes.fr/tel-02917058 (URL)
- Preprint: 10.1101/2024.05.10.593459 (DOI)
Funding
- PSL – Paris Sciences et Lettres ANR-10-IDEX-0001
- Agence Nationale de la Recherche
Software
- Repository URL
- https://gitlab.com/ecoevomath/colgen/-/tree/master/colgen
- Programming language
- Python
- Development Status
- Active