Evidence map›Paper›PMID 34482446›Full record

ArticleJournal of mathematical biology2021

Distinguishing level-1 phylogenetic networks on the basis of data generated by Markov processes.

Elizabeth Gross, Leo van Iersel, Remie Janssen, Mark Jones, Colby Long, Yukihiro Murakami

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Phylogenetic Network Models as Graphical Models.Bulletin of mathematical biology · 2026
    Article
  2. Article
  3. Characterizing semi-directed phylogenetic networks and their multi-rootable variants.Theory in biosciences = Theorie in den Biowissenschaften · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Group-based phylogenetic models on 3-sunlet networks.Bulletin of mathematical biology · 2025
    Article
  8. Article
  9. Leveraging graphical model techniques to study evolution on phylogenetic networks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  10. Dimensions of Level-1 Group-Based Phylogenetic Networks.Bulletin of mathematical biology · 2024
    Article
  11. Article
  12. Article
  13. Exploring spaces of semi-directed level-1 networks.Journal of mathematical biology · 2023
    Article
  14. Review
  15. 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.

Elizabeth GrossDepartment of Mathematics, University of Hawai'i at Mānoa, 2565 McCarthy Mall, Honolulu, HI, 96822, USA.
Leo van IerselDelft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands.
Remie JanssenDelft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands.
Mark JonesDelft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands.
Colby LongThe College of Wooster, 1189 Beall Avenue, Wooster, OH, 44691, USA.
Yukihiro MurakamiDelft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands. Y.Murakami@tudelft.nl.ORCID 0000-0003-1355-5884

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phylogenetic networks can represent evolutionary events that cannot be described by phylogenetic trees. These networks are able to incorporate reticulate evolutionary events such as hybridization, introgression, and lateral gene transfer. Recently, network-based Markov models of DNA sequence evolution have been introduced along with model-based methods for reconstructing phylogenetic networks. For these methods to be consistent, the network parameter needs to be identifiable from data generated under the model. Here, we show that the semi-directed network parameter of a triangle-free, level-1 network model with any fixed number of reticulation vertices is generically identifiable under the Jukes-Cantor, Kimura 2-parameter, or Kimura 3-parameter constraints.

Indexed as

Evolution, MolecularModels, GeneticAlgorithmsHybridization, GeneticMarkov ChainsPhylogenyIdentifiabilityMarkov processesPhylogenetic networksReticulation

Identifiers

PMID34482446
PMCPMC8418599

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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.