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A tensorial approach to the inversion of group-based phylogenetic models.
Sumner, Jeremy G; Jarvis, Peter D; Holland, Barbara R.
Afiliación
  • Sumner JG; School of Physical Sciences, University of Tasmania, Hobart TAS 7001, Australia. jsumner@utas.edu.au.
BMC Evol Biol ; 14: 236, 2014 Dec 04.
Article en En | MEDLINE | ID: mdl-25472897
BACKGROUND: Hadamard conjugation is part of the standard mathematical armoury in the analysis of molecular phylogenetic methods. For group-based models, the approach provides a one-to-one correspondence between the so-called "edge length" and "sequence" spectrum on a phylogenetic tree. The Hadamard conjugation has been used in diverse phylogenetic applications not only for inference but also as an important conceptual tool for thinking about molecular data leading to generalizations beyond strictly tree-like evolutionary modelling. RESULTS: For general group-based models of phylogenetic branching processes, we reformulate the problem of constructing a one-one correspondence between pattern probabilities and edge parameters. This takes a classic result previously shown through use of Fourier analysis and presents it in the language of tensors and group representation theory. This derivation makes it clear why the inversion is possible, because, under their usual definition, group-based models are defined for abelian groups only. CONCLUSION: We provide an inversion of group-based phylogenetic models that can implemented using matrix multiplication between rectangular matrices indexed by ordered-partitions of varying sizes. Our approach provides additional context for the construction of phylogenetic probability distributions on network structures, and highlights the potential limitations of restricting to group-based models in this setting.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Filogenia / Modelos Genéticos Tipo de estudio: Health_economic_evaluation Idioma: En Revista: BMC Evol Biol Asunto de la revista: BIOLOGIA Año: 2014 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Filogenia / Modelos Genéticos Tipo de estudio: Health_economic_evaluation Idioma: En Revista: BMC Evol Biol Asunto de la revista: BIOLOGIA Año: 2014 Tipo del documento: Article País de afiliación: Australia