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Clustering systems ...
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Hellmuth, Marc,1980-Stockholms universitet,Matematiska institutionen
(författare)
Clustering systems of phylogenetic networks
- Artikel/kapitelEngelska2023
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Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:su-221219
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https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-221219URI
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https://doi.org/10.1007/s12064-023-00398-wDOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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Rooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets C(v) of descendant taxa of a vertex v. The clustering system CN comprising the clusters of a network N conveys key information on N itself. In the special case of rooted phylogenetic trees, T is uniquely determined by its clustering system CT. Although this is no longer true for networks in general, it is of interest to relate properties of N and CN. Here, we systematically investigate the relationships of several well-studied classes of networks and their clustering systems. The main results are correspondences of classes of networks and clustering systems of the following form: If N is a network of type X, then CN satisfies Y, and conversely if C is a clustering system satisfying Y, then there is network N of type X such that C⊆CN.This, in turn, allows us to investigate the mutual dependencies between the distinct types of networks in much detail.
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Schaller, David
(författare)
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Stadler, Peter F.
(författare)
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Stockholms universitetMatematiska institutionen
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Theory in biosciences:142, s. 301-3581431-76131611-7530
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