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-master.zip
Files
(10.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:d69d18082ef0deaa1b04905997ce6327
|
10.0 MB | Preview Download |
Additional details
Related works
- Is described by
- Thesis: https://pastel.archives-ouvertes.fr/tel-02917058 (URL)
- Is published in
- Software: https://gitlab.com/ecoevomath/colgen/-/tree/master/colgen (URL)
Funding
- Agence Nationale de la Recherche
- PSL - Paris Sciences et Lettres ANR-10-IDEX-0001