Jakub Voznica - PhyloDeep | Research - Institut Pasteur

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Assistant Professor
Associate Professor
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Clinical Research Nurse
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Master Student
Non-permanent Researcher
Nursing Staff
Permanent Researcher
Pharmacist
PhD Student
Physician
Post-doc
Prize
Project Manager
Research Associate
Research Engineer
Retired scientist
Technician
Undergraduate Student
Veterinary
Visiting Scientist

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Deputy Director of Center
Deputy Director of Department
Deputy Director of National Reference Center
Deputy Head of Facility
Director of Center
Director of Department
Director of Institute
Director of National Reference Center
Group Leader
Head of Facility
Head of Operations
Head of Structure
Honorary President of the Departement
Labex Coordinator

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Bboot: Bayesian phylogenetic bootstrap

Scientific Fields

Diseases

Organisms

Applications

Technique

Scientific Fields

Starting Date

01

Oct 2018

Ending Date

31

Jul 2022

Status

Completed

Members

2

Structures

1

Publications

1

About

PhyloDeep is a python library for epidemiological parameter estimation and model selection from pathogen phylogenetic trees, based on deep learning.

Name
PhyloDeep
Summary
PhyloDeep is a python library for epidemiological parameter estimation and model selection from pathogen phylogenetic trees, based on deep learning.
Homepage
https://github.com/evolbioinfo/phylodeep
Tool Type
python package
command-line
Topics
epidemiology
phylodynamics
deep learning
Links
GitHub
More information on Bio.tools

References

2022

Voznica J, Zhukova A, Boskova V, Saulnier E, Lemoine F, Moslonka-Lefebvre M, Gascuel O, , Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks., Nat Commun 2022 Jul; 13(1): 3896.

Published on: 06 Jul 2022 • Modified on: 11 Jul 2022