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H 1 Deciphering a species phylogeny from conflicting gene trees

Auteurs : Steel, Michael Anthony (Auteur de la Conférence)
CIRM (Editeur )

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    Résumé : A phylogenetic tree that has been reconstructed from a given gene can describe a different evolutionary history from its underlying species tree. The reasons for this include: error in inferring the gene tree, incomplete lineage sorting, lateral gene transfer, and the absence of the gene in certain species. In this talk, I discuss probabilistic models and mathematical results that help address basic questions concerning the consistency and efficiency of different methods for inferring a species phylogeny from gene trees.

    Keywords : phylogeny; evolution; gene tree; mathematical hierarchies; biology

    Codes MSC :
    05C05 - Trees
    92C37 - Cell biology
    92D15 - Problems related to evolution
    92C80 - Plant biology

    Ressources complémentaires :

      Informations sur la Vidéo

      Langue : Anglais
      Date de publication : 28/06/2018
      Date de captation : 28/06/2018
      Collection : Research talks ; Combinatorics ; Mathematics in Science and Technology ; Probability and Statistics
      Format : MP4
      Durée : 00:52:02
      Domaine : Combinatorics ; Probability & Statistics ; Mathematics in Science & Technology
      Audience : Chercheurs ; Doctorants , Post - Doctorants
      Download : https://videos.cirm-math.fr/2018-06-28_Steel.mp4

    Informations sur la rencontre

    Nom de la rencontre : Probability and biological evolution / Probabilités et évolution biologique
    Organisateurs de la rencontre : Pardoux, Etienne ; Wakolbinger, Anton
    Dates : 25/06/2018 - 29/06/2018
    Année de la rencontre : 2018
    URL Congrès : https://conferences.cirm-math.fr/1774.html

    Citation Data

    DOI : 10.24350/CIRM.V.19418603
    Cite this video as: Steel, Michael Anthony (2018). Deciphering a species phylogeny from conflicting gene trees. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19418603
    URI : http://dx.doi.org/10.24350/CIRM.V.19418603

    Voir aussi


    1. Allman, E.S., Long, C., & Rhodes, J.A. (2018) Species tree inference from genomic sequences using the log-det distance. - https://arxiv.org/abs/1806.04974

    2. Roch, S., Nute, M., & Warnow, T. (2018). Long-branch attraction in species tree estimation: inconsistency of partitioned likelihood and topology-based summary methods. - https://arxiv.org/abs/1803.02800

    3. Mossel E., & Roch, S. (2015). Distance-based species tree estimation: information-theoretic trade-off between number of loci and sequence length under the coalescent. - https://arxiv.org/abs/1504.05289

    4. Steel, M. (2016). Phylogeny. Discrete and random processes in evolution. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM) - https://doi.org/10.1137/1.9781611974485

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