Evidence map›Paper›PMID 34739608›Full record

ArticleJournal of mathematical biology2021

Discrete coalescent trees.

Lena Collienne, Kieran Elmes, Mareike Fischer, David Bryant, Alex Gavryushkin

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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
  2. Spaces of ranked tree-child networks.Journal of mathematical biology · 2025
    Article
  3. Article
  4. Ranked Subtree Prune and Regraft.Bulletin of mathematical biology · 2024
    Article
  5. 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

5 authors.

Lena CollienneDepartment of Computer Science, University of Otago, Dunedin, New Zealand.
Kieran ElmesDepartment of Computer Science, University of Otago, Dunedin, New Zealand.
Mareike FischerInstitute of Mathematics and Computer Science, University of Greifswald, Greifswald, Germany.
David BryantDepartment of Mathematics and Statistics, University of Otago, Dunedin, New Zealand.
Alex GavryushkinDepartment of Computer Science, University of Otago, Dunedin, New Zealand. alex@biods.org.ORCID http://orcid.org/0000-0001-6299-8249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many phylogenetic applications, such as cancer and virus evolution, time trees, evolutionary histories where speciation events are timed, are inferred. Of particular interest are clock-like trees, where all leaves are sampled at the same time and have equal distance to the root. One popular approach to model clock-like trees is coalescent theory, which is used in various tree inference software packages. Methodologically, phylogenetic inference methods require a tree space over which the inference is performed, and the geometry of this space plays an important role in statistical and computational aspects of tree inference algorithms. It has recently been shown that coalescent tree spaces possess a unique geometry, different from that of classical phylogenetic tree spaces. Here we introduce and study a space of discrete coalescent trees. They assume that time is discrete, which is natural in many computational applications. This tree space is a generalisation of the previously studied ranked nearest neighbour interchange space, and is built upon tree-rearrangement operations. We generalise existing results about ranked trees, including an algorithm for computing distances in polynomial time, and in particular provide new results for both the space of discrete coalescent trees and the space of ranked trees. We establish several geometrical properties of these spaces and show how these properties impact various algorithms used in phylogenetic analyses. Our tree space is a discretisation of a previously introduced time tree space, called t-space, and hence our results can be used to approximate solutions to various open problems in t-space.

Indexed as

AlgorithmsCluster AnalysisPhylogenyAlgorithmsCoalescent treesMetric geometryPhylogeneticsRanked treeTime treesTree distanceTree space

Identifiers

PMID34739608
PMCPMC8571255

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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.