Evidence map›Paper›PMID 40624354›Full record

ArticleNature methods2025

BEAST X for Bayesian phylogenetic, phylogeographic and phylodynamic inference.

Guy Baele, Xiang Ji, Gabriel W Hassler, John T McCrone, Yucai Shao, Zhenyu Zhang, Andrew J Holbrook, Philippe Lemey, Alexei J Drummond, Andrew Rambaut and 1 more

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

84 citing papers in PubMed.

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  20. Molecular Epidemiology ofOpen forum infectious diseases · 2026
    Article

24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Guy BaeleDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-1915-7732
Xiang JiDepartment of Mathematics, School of Science and Engineering, Tulane University, New Orleans, LA, USA.ORCID http://orcid.org/0000-0002-7243-0865
Gabriel W HasslerStatistics Group, RAND Corporation, Santa Monica, CA, USA.ORCID http://orcid.org/0000-0001-6951-5254
John T McCroneComputational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-9846-8917
Yucai ShaoDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
Zhenyu ZhangDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-2176-2253
Andrew J HolbrookDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-2826-5353
Alexei J DrummondSchool of Biological Sciences, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-4454-2576
Andrew RambautInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK. a.rambaut@ed.ac.uk.ORCID http://orcid.org/0000-0003-4337-3707
Marc A SuchardDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA. msuchard@ucla.edu.ORCID http://orcid.org/0000-0001-9818-479X

Funding

Technology CoreU19AI135995 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI Bryan Briney · 2018 to 2026
$32.0M
Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Notch signaling and germline-soma interactions in the Drosophila ovarian modelR01GM072562 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, WU-MIN · 2006 to 2025
$5.6M
Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
Fast and flexible Bayesian phylogenetics via modern machine learningR01AI162611 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MATSEN, FREDERICK ALBERT · 2021 to 2025
$3.8M
Statistical Innovation to Integrate Sequences and Phenotypes for Scalable Phylodynamic InferenceR01AI153044 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Marc A. Suchard · 2021 to 2026
$2.4M
Big Data Predictive Phylogenetics with Bayesian LearningK25AI153816 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOLBROOK, ANDREW JAMES · 2020 to 2024
$532k
Scalable Inference in Statistical Models of Viral Evolution and Human HealthF31AI154824 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HASSLER, GABRIEL WILLIAM · 2021 to 2022
$64k
NHGRI NIH HHS R01 HG006139NHGRI NIH HHS T32 HG002536NIAID NIH HHS F31 AI154824NIAID NIH HHS K25 AI153816NIAID NIH HHS R01 AI153044NIAID NIH HHS R01 AI162611NIAID NIH HHS U19 AI135995NIGMS NIH HHS R01 GM072562Wellcome Trust
6 · The paper itself

Abstract

Here we present the open-source and cross-platform BEAST X software that combines molecular phylogenetic reconstruction with complex trait evolution, divergence-time dating and coalescent demographics in an efficient statistical inference engine. BEAST X significantly advances the flexibility and scalability of evolutionary models supported. Novel clock and substitution models leverage a large variety of evolutionary processes; discrete, continuous and mixed traits with missingness and measurement errors; and fast, gradient-informed integration techniques that rapidly traverse high-dimensional parameter spaces.

Indexed as

PhylogenySoftwareAlgorithmsBayes TheoremComputer SimulationEvolution, MolecularModels, GeneticPhylogeography

Identifiers

PMID40624354
PMCPMC12328226

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.