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Grünewald, Stefan, Forslund, Kristoffer, Dress, Andreas and Moulton, Vincent 
ORCID: https://orcid.org/0000-0001-9371-6435
(2007)
QNet: An agglomerative method for the construction of phylogenetic networks from weighted quarters.
Molecular Biology and Evolution, 24 (2).
pp. 532-538.
ISSN 0737-4038
Abstract
We present QNet, a method for constructing split networks from weighted quartet trees. QNet can be viewed as a quartet analogue of the distance-based Neighbor-Net (NNet) method for network construction. Just as NNet, QNet works by agglomeratively computing a collection of circular weighted splits of the taxa set which is subsequently represented by a planar split network. To illustrate the applicability of QNet, we apply it to a previously published Salmonella data set. We conclude that QNet can provide a useful alternative to NNet if distance data are not available or a character-based approach is preferred. Moreover, it can be used as an aid for determining when a quartet-based tree-building method may or may not be appropriate for a given data set. QNet is freely available for download.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | 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) Faculty of Science > Research Groups > Computational Biology Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre |
| Depositing User: | Vishal Gautam |
| Date Deposited: | 16 May 2011 17:27 |
| Last Modified: | 16 Jun 2023 00:02 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/23283 |
| DOI: | 10.1093/molbev/msl180 |
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