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IEEE/ACM Transactions on Computational Biology and Bioinformatics
Article . 2004 . Peer-reviewed
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Phylogenetic Super-networks from Partial Trees

Authors: Daniel H. Huson; Tobias Dezulian; Tobias H. Klöpper; Mike A. Steel;

Phylogenetic Super-networks from Partial Trees

Abstract

In practice, one is often faced with incomplete phylogenetic data, such as a collection of partial trees or partial splits. This paper poses the problem of inferring a phylogenetic super-network from such data and provides an efficient algorithm for doing so, called the Z-closure method. Additionally, the questions of assigning lengths to the edges of the network and how to restrict the "dimensionality" of the network are addressed. Applications to a set of five published partial gene trees relating different fungal species and to six published partial gene trees relating different grasses illustrate the usefulness of the method and an experimental study confirms its potential. The method is implemented as a plug-in for the program SplitsTree4.

Country
New Zealand
Related Organizations
Keywords

Models, Statistical, Models, Genetic, molecular evolution, Genetic Speciation, Fields of Research::230000 Mathematical Sciences::239900 Other Mathematical Sciences::239901 Biological Mathematics, Genes, Fungal, Computational Biology, Models, Theoretical, phylogeny, Genes, Plant, Evolution, Molecular, networks, partial trees, closure operations, Algorithms, Phylogeny

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    111
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
111
Top 10%
Top 1%
Top 10%
bronze