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dc.contributorCasanellas Rius, Marta
dc.contributor.authorGarrote López, Marina
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada I
dc.date.accessioned2014-10-09T12:12:52Z
dc.date.available2014-10-09T12:12:52Z
dc.date.issued2014-07
dc.identifier.urihttp://hdl.handle.net/2099.1/22934
dc.description.abstractPhylogenetics is the study of the evolutionary relationships of a group of species, and it is usually inferred from the DNA sequences of a set of living species. Thanks to the model developed by Darwin based on natural selection, we can construct phylogenetics trees that relate a set of contemporary species. Thus phylogenetics tries to reconstruct these trees. In order to do it is necessary to model evolution adopting a parametric statistic model. Using these models one is able to deduce polynomial relationships between the parameters of our model, known as phylogenetic invariants. The main goal of this work is to understand the relationship between phylogenetics and these algebraic techniques and to prove that using the rank of certain matrices we can find phylogenetic invariants that are useful for tree reconstruction.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subject.lcshBiomathematics
dc.subject.otherPhylogenetics
dc.subject.otherPhylogenetic trees
dc.subject.otherJoint distribution
dc.subject.otherPhylogenetic invariants
dc.titlePhylogenetics and rank of matrices
dc.typeBachelor thesis
dc.subject.lemacBiomatemàtica
dc.subject.amsClassificació AMS::92 Biology and other natural sciences::92B Mathematical biology in general
dc.identifier.slugFME-929
dc.rights.accessOpen Access
dc.date.updated2014-07-18T04:28:23Z
dc.audience.educationlevelGrau
dc.audience.mediatorUniversitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística
dc.audience.degreeGRAU EN MATEMÀTIQUES (Pla 2009)


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