Evidence map›Paper›PMID 39937844›Full record

ArticlePLoS computational biology2025

Accurate Bayesian phylogenetic point estimation using a tree distribution parameterized by clade probabilities.

Lars Berling, Jonathan Klawitter, Remco Bouckaert, Dong Xie, Alex Gavryushkin, Alexei J Drummond

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  5. Navigating the mysterious space of evolutionary histories.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. 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
    Article
  7. Article
  8. Article
  9. Temporal reconstruction of aMicrobial genomics · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
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  16. Article
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

6 authors.

Lars BerlingSchool of Mathematics and Statistics, University of Canterbury, Aotearoa, New Zealand.ORCID 0000-0002-1303-0669
Jonathan KlawitterCentre for Computational Evolution, University of Auckland, Aotearoa, New Zealand.ORCID 0000-0001-8917-5269
Remco BouckaertCentre for Computational Evolution, University of Auckland, Aotearoa, New Zealand.
Dong XieCentre for Computational Evolution, University of Auckland, Aotearoa, New Zealand.
Alex GavryushkinSchool of Mathematics and Statistics, University of Canterbury, Aotearoa, New Zealand.ORCID 0000-0003-4454-2576
Alexei J DrummondCentre for Computational Evolution, University of Auckland, Aotearoa, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bayesian phylogenetic analysis with MCMC algorithms generates an estimate of the posterior distribution of phylogenetic trees in the form of a sample of phylogenetic trees and related parameters. The high dimensionality and non-Euclidean nature of tree space complicates summarizing the central tendency and variance of the posterior distribution in tree space. Here we introduce a new tractable tree distribution and associated point estimator that can be constructed from a posterior sample of trees. Through simulation studies we show that this point estimator performs at least as well and often better than standard methods of producing Bayesian posterior summary trees. We also show that the method of summary that performs best depends on the sample size and dimensionality of the problem in non-trivial ways.

Indexed as

Models, GeneticPhylogenyAlgorithmsBayes TheoremComputational BiologyComputer SimulationModels, Statistical

Identifiers

PMID39937844
PMCPMC11835378

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Registered trials

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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.