Evidence map›Paper›PMID 23493256›Full record

ArticleMolecular biology and evolution2013

Quartet-net: a quartet-based method to reconstruct phylogenetic networks.

Jialiang Yang, Stefan Grünewald, Xiu-Feng Wan

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2013. 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

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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

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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.

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  9. Review
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  11. Article
  12. Genetic Polymorphism Study onBioMed research international · 2018
    Article
  13. De Novo Sequencing of aThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2018
    Article
  14. Pathogenicity and Whole Genome Sequence Analysis of a Pseudorabies Virus Strain FJ-2012 Isolated from Fujian, Southern China.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2017
    Article
  15. Article
4 · The record

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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

3 authors.

Jialiang YangDepartment of Basic Sciences, College of Veterinary Medicine, Mississippi State University, USA.
Stefan Grünewald
Xiu-Feng Wan

Funding

Prediction of influenza antigenic variants using a novel sparse multitask learninRC1AI086830 · NIAID · MISSISSIPPI STATE UNIVERSITY · PI WAN, XIUFENG HENRY · 2010 to 2010
$413k
Targeting Renal Purinergic Signaling for the Treatment of Lithium-induced NDII01BX000596 · VA · VA SALT LAKE CITY HEALTHCARE SYSTEM · PI KISHORE, BELLAMKONDA K · 2011 to 2019
–
BLRD VA I01 BX000596CCR NIH HHS NIAID RC1AI086830NIAID NIH HHS RC1 AI086830
6 · The paper itself

Abstract

Phylogenetic networks can model reticulate evolutionary events such as hybridization, recombination, and horizontal gene transfer. However, reconstructing such networks is not trivial. Popular character-based methods are computationally inefficient, whereas distance-based methods cannot guarantee reconstruction accuracy because pairwise genetic distances only reflect partial information about a reticulate phylogeny. To balance accuracy and computational efficiency, here we introduce a quartet-based method to construct a phylogenetic network from a multiple sequence alignment. Unlike distances that only reflect the relationship between a pair of taxa, quartets contain information on the relationships among four taxa; these quartets provide adequate capacity to infer a more accurate phylogenetic network. In applications to simulated and biological data sets, we demonstrate that this novel method is robust and effective in reconstructing reticulate evolutionary events and it has the potential to infer more accurate phylogenetic distances than other conventional phylogenetic network construction methods such as Neighbor-Joining, Neighbor-Net, and Split Decomposition. This method can be used in constructing phylogenetic networks from simple evolutionary events involving a few reticulate events to complex evolutionary histories involving a large number of reticulate events. A software called "Quartet-Net" is implemented and available at http://sysbio.cvm.msstate.edu/QuartetNet/.

Indexed as

Evolution, MolecularModels, GeneticSoftwareModels, TheoreticalPhylogeny

Identifiers

PMID23493256
PMCPMC3670728

What OpenQuestion holds

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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.