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Published December 2, 2019 | Version 1.0
Software Open

Colgen - Collective Genealogies Visualisation and Analysis

Authors/Creators

  • 1. Université Paris Sciences et Lettres

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

Colgen was first released as part of Guilhem Doulcier's PhD thesis (https://pastel.archives-ouvertes.fr/tel-02917058)

Files

colgen-master.zip

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Additional details

Related works

Funding

Agence Nationale de la Recherche
PSL - Paris Sciences et Lettres ANR-10-IDEX-0001