Evidence map›Paper›PMID 41372510›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2025

Characterizing semi-directed phylogenetic networks and their multi-rootable variants.

Niels Holtgrefe, Katharina T Huber, Leo van Iersel, Mark Jones, Vincent Moulton

Abstract read
In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Niels HoltgrefeDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.
Katharina T HuberSchool of Computing Sciences, University of East Anglia, Norwich, United Kingdom.
Leo van IerselDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.
Mark JonesDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.
Vincent MoultonSchool of Computing Sciences, University of East Anglia, Norwich, United Kingdom. v.moulton@uea.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In evolutionary biology, phylogenetic networks are graphs that provide a flexible framework for representing complex evolutionary histories that involve reticulate evolutionary events. Recently, phylogenetic studies have started to focus on a special class of such networks called semi-directed networks. These graphs are defined as mixed graphs that can be obtained by de-orienting some of the arcs in some rooted phylogenetic network, that is, a directed acyclic graph whose leaves correspond to a collection of species and that has a single source or root vertex. However, this definition of semi-directed networks is implicit in nature since it is not clear when a mixed-graph enjoys this property or not. In this paper, we introduce novel, explicit mathematical characterizations of semi-directed networks, and also multi-semi-directed networks, that is mixed graphs that can be obtained from directed phylogenetic networks that may have more than one root. In addition, through extending foundational tools from the theory of rooted networks into the semi-directed setting-such as cherry picking sequences, omnians, and path partitions-we characterize when a (multi-)semi-directed network can be obtained by de-orienting some rooted network that is contained in one of the well-known classes of tree-child, orchard, tree-based or forest-based networks. These results address structural aspects of (multi-)semi-directed networks and pave the way to improved theoretical and computational analyses of such networks, for example, within the development of algebraic evolutionary models that are based on such networks.

Indexed as

Biological EvolutionPhylogenyAlgorithmsComputer SimulationModels, GeneticMixed graphOrchard networkPath partitionsSemi-directed phylogenetic networkTree-based networkTree-child network

Identifiers

PMID41372510
PMCPMC12696060

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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.