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The Space of Equidistant Phylogenetic Cactuses.
Huber, Katharina T; Moulton, Vincent; Owen, Megan; Spillner, Andreas; St John, Katherine.
Afiliación
  • Huber KT; School of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ UK.
  • Moulton V; School of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ UK.
  • Owen M; Department of Mathematics, Lehman College, CUNY, New York, NY 10468 USA.
  • Spillner A; Merseburg University of Applied Sciences, 06217 Merseburg, Germany.
  • St John K; Department of Computer Science, Hunter College, CUNY, New York, NY 10065 USA.
Ann Comb ; 28(1): 1-32, 2024.
Article en En | MEDLINE | ID: mdl-38433929
ABSTRACT
An equidistant X-cactus is a type of rooted, arc-weighted, directed acyclic graph with leaf set X, that is used in biology to represent the evolutionary history of a set X of species. In this paper, we introduce and investigate the space of equidistant X-cactuses. This space contains, as a subset, the space of ultrametric trees on X that was introduced by Gavryushkin and Drummond. We show that equidistant-cactus space is a CAT(0)-metric space which implies, for example, that there are unique geodesic paths between points. As a key step to proving this, we present a combinatorial result concerning ranked rooted X-cactuses. In particular, we show that such graphs can be encoded in terms of a pairwise compatibility condition arising from a poset of collections of pairs of subsets of X that satisfy certain set-theoretic properties. As a corollary, we also obtain an encoding of ranked, rooted X-trees in terms of partitions of X, which provides an alternative proof that the space of ultrametric trees on X is CAT(0). We expect that our results will provide the basis for novel ways to perform statistical analyses on collections of equidistant X-cactuses, as well as new directions for defining and understanding spaces of more general, arc-weighted phylogenetic networks.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Ann Comb Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Ann Comb Año: 2024 Tipo del documento: Article