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Models, algorithms and programs for phylogeny reconciliation.
Doyon, Jean-Philippe; Ranwez, Vincent; Daubin, Vincent; Berry, Vincent.
Afiliación
  • Doyon JP; Université Montpellier 2, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, France.
Brief Bioinform ; 12(5): 392-400, 2011 Sep.
Article en En | MEDLINE | ID: mdl-21949266
ABSTRACT
Gene sequences contain a gold mine of phylogenetic information. But unfortunately for taxonomists this information does not only tell the story of the species from which it was collected. Genes have their own complex histories which record speciation events, of course, but also many other events. Among them, gene duplications, transfers and losses are especially important to identify. These events are crucial to account for when reconstructing the history of species, and they play a fundamental role in the evolution of genomes, the diversification of organisms and the emergence of new cellular functions. We review reconciliations between gene and species trees, which are rigorous approaches for identifying duplications, transfers and losses that mark the evolution of a gene family. Existing reconciliation models and algorithms are reviewed and difficulties in modeling gene transfers are discussed. We also compare different reconciliation programs along with their advantages and disadvantages.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Filogenia / Algoritmos / Genómica Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2011 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Filogenia / Algoritmos / Genómica Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2011 Tipo del documento: Article País de afiliación: Francia