Evidence map›Paper›PMID 29745854›Full record

ArticleBMC genomics2018

The performance of coalescent-based species tree estimation methods under models of missing data.

Michael Nute, Jed Chou, Erin K Molloy, Tandy Warnow

Erratum issuedAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

31 citing papers in PubMed.

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  5. Studies in mycology · 2024
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  10. Microorganisms · 2023
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  17. Taxonomic review ofPeerJ · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Michael NuteDepartment of Statistics, University of Illinois at Urbana-Champaign, 725 S. Wright St., Champaign, IL, 61820, USA.
Jed ChouDepartment of Mathematics, University of Illinois at Urbana-Champaign, 1409 W. Green St., Urbana, IL, 61801, USA.
Erin K MolloyDepartment of Computer Science, University of Illinois at Urbana-Champaign, 201 North Goodwin Avenue, Urbana, IL, 61801, USA.
Tandy WarnowDepartment of Computer Science, University of Illinois at Urbana-Champaign, 201 North Goodwin Avenue, Urbana, IL, 61801, USA. warnow@illinois.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstimation of species trees from multiple genes is complicated by processes such as incomplete lineage sorting, gene duplication and loss, and horizontal gene transfer, that result in gene trees that differ from each other and from the species phylogeny. Methods to estimate species trees in the presence of gene tree discord due to incomplete lineage sorting have been developed and proved to be statistically consistent when gene tree discord is due only to incomplete lineage sorting and every gene tree includes the full set of species.

resultsWe establish statistical consistency of certain coalescent-based species tree estimation methods under some models of taxon deletion from genes. We also evaluate the impact of missing data on four species tree estimation methods (ASTRAL-II, ASTRID, MP-EST, and SVDquartets) using simulated datasets with varying levels of incomplete lineage sorting, gene tree estimation error, and degrees/patterns of missing data.

conclusionsAll the species tree estimation methods improved in accuracy as the number of genes increased and often produced highly accurate species trees even when the amount of missing data was large. These results together indicate that accurate species tree estimation is possible under a variety of conditions, even when there are substantial amounts of missing data.

Indexed as

Genetic SpeciationModels, GeneticPhylogenyAlgorithmsClassificationComputer SimulationGenesGenomicsSpecies SpecificityASTRALASTRIDIncomplete lineage sortingMissing dataMP-ESTMulti-species coalescentSpecies treeSVDquartets

Identifiers

PMID29745854
PMCPMC5998899

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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.