NeighborNet: An agglomerative method for the construction of phylogenetic networks

Bryant, David and Moulton, Vincent ORCID: https://orcid.org/0000-0001-9371-6435 (2004) NeighborNet: An agglomerative method for the construction of phylogenetic networks. Molecular Biology and Evolution, 21 (2). pp. 255-265. ISSN 0737-4038

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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.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Science > Research Groups > Computational Biology Faculty of Science > Research Groups > Computational Biology > Computational biology of RNA (former - to 2018) Faculty of Science > Research Groups > Computational Biology > Phylogenetics (former - to 2018)
Depositing User:	Vishal Gautam
Date Deposited:	09 Jun 2011 17:16
Last Modified:	16 Jun 2023 02:31
URI:	https://ueaeprints.uea.ac.uk/id/eprint/22866
DOI:	10.1093/molbev/msh018

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