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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Main Authors: Fredrik Ronquist, Jan Kudlicka, Viktor Senderov, Johannes Borgström, Nicolas Lartillot, Daniel Lundén, Lawrence Murray, Thomas B. Schön, David Broman
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-021-01753-7
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spelling 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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