Evidence map›Paper›PMID 26450642›Full record

ArticleBMC genomics2015

A maximum pseudo-likelihood approach for phylogenetic networks.

Yun Yu, Luay Nakhleh

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Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

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94citing papers in PubMed
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3 · Its place in the literature

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94 citing papers in PubMed.

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  6. CAMUS: scalable phylogenetic network estimation.Bioinformatics (Oxford, England) · 2026
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  13. NANUQAlgorithms for molecular biology : AMB · 2025
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34 more citing papers are in PubMed but not listed here.

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5 · Who and what money

Authors and funding

2 authors.

Yun Yu
Luay Nakhleh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral phylogenomic analyses have recently demonstrated the need to account simultaneously for incomplete lineage sorting (ILS) and hybridization when inferring a species phylogeny. A maximum likelihood approach was introduced recently for inferring species phylogenies in the presence of both processes, and showed very good results. However, computing the likelihood of a model in this case is computationally infeasible except for very small data sets.

resultsInspired by recent work on the pseudo-likelihood of species trees based on rooted triples, we introduce the pseudo-likelihood of a phylogenetic network, which, when combined with a search heuristic, provides a statistical method for phylogenetic network inference in the presence of ILS. Unlike trees, networks are not always uniquely encoded by a set of rooted triples. Therefore, even when given sufficient data, the method might converge to a network that is equivalent under rooted triples to the true one, but not the true one itself. The method is computationally efficient and has produced very good results on the data sets we analyzed. The method is implemented in PhyloNet, which is publicly available in open source.

conclusionsMaximum pseudo-likelihood allows for inferring species phylogenies in the presence of hybridization and ILS, while scaling to much larger data sets than is currently feasible under full maximum likelihood. The nonuniqueness of phylogenetic networks encoded by a system of rooted triples notwithstanding, the proposed method infers the correct network under certain scenarios, and provides candidates for further exploration under other criteria and/or data in other scenarios.

Indexed as

Evolution, MolecularLikelihood FunctionsPhylogenyAlgorithmsComputational BiologyGenetic Speciation

Identifiers

PMID26450642
PMCPMC4602316

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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.