MBE Advance Access published online on November 21, 2006
Molecular Biology and Evolution, doi:10.1093/molbev/msl180
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1 CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai 200031, P. R. China
* To whom correspondence should be addressed. 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 method for network construction. Just as Neighbor-Net, 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.
Accepted November 15, 2006
Research Article
QNet: An Agglomerative Method for the Construction of Phylogenetic Networks from Weighted Quartets
Stefan Grüunewald 1 *, Kristoffer Forslund 2, Andreas Dress 3, and Vincent Moulton 4
2 Stockholm Bioinformatics Center, Albanova, Stockholm University, SE-10691 Stockholm, Sweden
3 CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai 200031, P. R. China, and MPI for Mathematics in the Sciences, Leipzig, Germany
4 School of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
Stefan Grüunewald, E-mail: stefan{at}picb.ac.cn
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