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IEEE/ACM Transactions on Computational Biology and Bioinformatics
Article . 2018 . Peer-reviewed
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Nonbinary Tree-Based Phylogenetic Networks

Authors: Laura Jetten; Leo van Iersel;

Nonbinary Tree-Based Phylogenetic Networks

Abstract

Rooted phylogenetic networks are used to describe evolutionary histories that contain non-treelike evolutionary events such as hybridization and horizontal gene transfer. In some cases, such histories can be described by a phylogenetic base-tree with additional linking arcs, which can for example represent gene transfer events. Such phylogenetic networks are called tree-based. Here, we consider two possible generalizations of this concept to nonbinary networks, which we call tree-based and strictly-tree-based nonbinary phylogenetic networks. We give simple graph-theoretic characterizations of tree-based and strictly-tree-based nonbinary phylogenetic networks. Moreover, we show for each of these two classes that it can be decided in polynomial time whether a given network is contained in the class. Our approach also provides a new view on tree-based binary phylogenetic networks. Finally, we discuss two examples of nonbinary phylogenetic networks in biology and show how our results can be applied to them.

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Netherlands
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Keywords

FOS: Computer and information sciences, Models, Genetic, Populations and Evolution (q-bio.PE), tree-based, Computational Biology, tree-of-life, phylogenetic network, Plants, Evolution, Molecular, FOS: Biological sciences, evolution, Computer Science - Data Structures and Algorithms, Viruses, Animals, Data Structures and Algorithms (cs.DS), Quantitative Biology - Populations and Evolution, Algorithms, Phylogeny, Phylogenetic tree

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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26
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bronze