Evidence map›Paper›PMID 40924543›Full record

ArticleBioinformatics (Oxford, England)2025

HIPSTR: highest independent posterior subtree reconstruction in TreeAnnotator X.

Guy Baele, Luiz M Carvalho, Marius Brusselmans, Gytis Dudas, Xiang Ji, John T McCrone, Philippe Lemey, Marc A Suchard, Andrew Rambaut

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  6. Parallel algorithms for phylogenetic inference under a structured coalescent approximation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. Navigating the mysterious space of evolutionary histories.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Biological causes and impacts of rugged tree landscapes in phylodynamic inference.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Guy BaeleDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, 3000, Belgium.ORCID 0000-0002-1915-7732
Luiz M CarvalhoSchool of Applied Mathematics, Getulio Vargas Foundation (FGV), Rio de Janeiro, 22250-900, Brazil.ORCID 0000-0001-5736-5578
Marius BrusselmansDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, 3000, Belgium.
Gytis DudasInstitute of Biotechnology, Life Sciences Centre, Vilnius University, Vilnius, 01513, Lithuania.ORCID 0000-0002-0227-4158
Xiang JiDepartment of Mathematics, School of Science & Engineering, Tulane University, New Orleans, LA, 70118, United States.
John T McCroneVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, United States.
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, 3000, Belgium.ORCID 0000-0003-2826-5353
Marc A SuchardDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, United States.ORCID 0000-0001-9818-479X
Andrew RambautInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, EH9 3FL, United Kingdom.ORCID 0000-0003-4337-3707

Funding

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
NIAID NIH HHS R01 AI153044Research Foundation-Flanders
6 · The paper itself

Abstract

summaryIn Bayesian phylogenetic and phylodynamic studies, it is common to summarize the posterior distribution of trees with a time-calibrated summary phylogeny. While the maximum clade credibility (MCC) tree is often used for this purpose, we here show that a novel summary tree method-the highest independent posterior subtree reconstruction, or (HIPSTR)-contains consistently higher supported clades over MCC. We also provide faster computational routines for estimating both summary trees in an updated version of TreeAnnotator X, an open-source software program that summarizes the information from a sample of trees and returns many helpful statistics such as individual clade credibilities contained in the summary tree.

resultsHIPSTR and MCC reconstructions on two Ebola virus and two SARS-CoV-2 datasets show that HIPSTR yields summary trees that consistently contain clades with higher support compared to MCC trees. The MCC trees regularly fail to include several clades with very high posterior probability (≥0.95) as well as a large number of clades with moderate to high posterior probability (≥50%), whereas HIPSTR-in particular its majority-rule extension MrHIPSTR-achieves near-perfect performance in this respect. HIPSTR and MrHIPSTR also exhibit favourable computational performance over MCC in TreeAnnotator X. Comparison to the recent CCD0-MAP algorithm yielded mixed results and requires a more in-depth investigation in follow-up studies. AVAILABILITY AND IMPLEMENTATION: TreeAnnotator X is available as part of the BEAST X (v10.5.0) software package, available at https://github.com/beast-dev/beast-mcmc/releases, and on Zenodo (DOI: https://doi.org/10.5281/zenodo.4895234).

Indexed as

Computational BiologyEbolavirusPhylogenySARS-CoV-2SoftwareAlgorithmsBayes TheoremCOVID-19Humans

Identifiers

PMID40924543
PMCPMC12490824

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LicenceCC BY
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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.