Universal probabilistic programming offers a powerful approach to statistical phylogenetics
Ronquist, Kudlicka, Senderov and colleagues present universal probabilistic programming as a powerful method for modeling and inference in statistical phylogenetics. They provide an accessible introduction to these techniques and apply them in inferring complex patterns of diversification and turnov...
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Nature Publishing Group
2021-02-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-021-01753-7 |
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doaj-0a808ed6a3994f02bf81be5ca5928f5e2021-03-11T12:04:18ZengNature Publishing GroupCommunications Biology2399-36422021-02-014111010.1038/s42003-021-01753-7Universal probabilistic programming offers a powerful approach to statistical phylogeneticsFredrik Ronquist0Jan Kudlicka1Viktor Senderov2Johannes Borgström3Nicolas Lartillot4Daniel Lundén5Lawrence Murray6Thomas B. Schön7David Broman8Department of Bioinformatics and Genetics, Swedish Museum of Natural HistoryDepartment of Information Technology, Uppsala UniversityDepartment of Bioinformatics and Genetics, Swedish Museum of Natural HistoryDepartment of Information Technology, Uppsala UniversityLaboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard Lyon 1Department of Computer Science, KTH Royal Institute of TechnologyUber AIDepartment of Information Technology, Uppsala UniversityDepartment of Computer Science, KTH Royal Institute of TechnologyRonquist, Kudlicka, Senderov and colleagues present universal probabilistic programming as a powerful method for modeling and inference in statistical phylogenetics. They provide an accessible introduction to these techniques and apply them in inferring complex patterns of diversification and turnover in birds.https://doi.org/10.1038/s42003-021-01753-7 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fredrik Ronquist Jan Kudlicka Viktor Senderov Johannes Borgström Nicolas Lartillot Daniel Lundén Lawrence Murray Thomas B. Schön David Broman |
spellingShingle |
Fredrik Ronquist Jan Kudlicka Viktor Senderov Johannes Borgström Nicolas Lartillot Daniel Lundén Lawrence Murray Thomas B. Schön David Broman Universal probabilistic programming offers a powerful approach to statistical phylogenetics Communications Biology |
author_facet |
Fredrik Ronquist Jan Kudlicka Viktor Senderov Johannes Borgström Nicolas Lartillot Daniel Lundén Lawrence Murray Thomas B. Schön David Broman |
author_sort |
Fredrik Ronquist |
title |
Universal probabilistic programming offers a powerful approach to statistical phylogenetics |
title_short |
Universal probabilistic programming offers a powerful approach to statistical phylogenetics |
title_full |
Universal probabilistic programming offers a powerful approach to statistical phylogenetics |
title_fullStr |
Universal probabilistic programming offers a powerful approach to statistical phylogenetics |
title_full_unstemmed |
Universal probabilistic programming offers a powerful approach to statistical phylogenetics |
title_sort |
universal probabilistic programming offers a powerful approach to statistical phylogenetics |
publisher |
Nature Publishing Group |
series |
Communications Biology |
issn |
2399-3642 |
publishDate |
2021-02-01 |
description |
Ronquist, Kudlicka, Senderov and colleagues present universal probabilistic programming as a powerful method for modeling and inference in statistical phylogenetics. They provide an accessible introduction to these techniques and apply them in inferring complex patterns of diversification and turnover in birds. |
url |
https://doi.org/10.1038/s42003-021-01753-7 |
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