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Neighbor-Net: An Agglomerative Method for the Construction of Phylogenetic Networks

2003· article· en· 2,219 citations· W2100152398 on OpenAlex· 10.1093/molbev/msh018

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GPT teacher head0.273
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Abstract

We present Neighbor-Net, a distance based method for constructing phylogenetic networks that is based on the Neighbor-Joining (NJ) algorithm of Saitou and Nei. Neighbor-Net provides a snapshot of the data that can guide more detailed analysis. Unlike split decomposition, Neighbor-Net scales well and can quickly produce detailed and informative networks for several hundred taxa. We illustrate the method by reanalyzing three published data sets: a collection of 110 highly recombinant Salmonella multi-locus sequence typing sequences, the 135 "African Eve" human mitochondrial sequences published by Vigilant et al., and a collection of 12 Archeal chaperonin sequences demonstrating strong evidence for gene conversion. Neighbor-Net is available as part of the SplitsTree4 software package.

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The record

Venue
Molecular Biology and Evolution
Topic
Genomics and Phylogenetic Studies
Field
Biochemistry, Genetics and Molecular Biology
Canadian institutions
McGill University
Funders
Natural Sciences and Engineering Research Council of CanadaVetenskapsrådetFonds Québécois de la Recherche sur la Nature et les Technologies
Keywords
BiologyPhylogenetic treeSnapshot (computer storage)Phylogenetic networkComputational biologyLocus (genetics)Evolutionary biologyGeneGeneticsComputer science
Has abstract in OpenAlex
yes