View source for Uncovering modes of evolution: testing for selection versus genetic drift in species diversification

'''Background''': Understanding modes of species evolution is the major questions to the current evolutionary biology. As more DNA data become available, an increasing number of researchers is now switching to phylogeny-based of complex evolutionary models. Therefore, the key challenge now is to develop and test the models which can adequately describe evolution. 

'''Goal''': The goal of this project is to develop likelihood optimization of Ornstein-Uhlenbeck process in R and then use it in phylogenetic comparative analysis to test for signal of directional/divergent selection of ''Amolops'' frogs

'''Mathematical tools''': Statistics (stochastic models) and programming. The students will learn how to use R to implement stochastic models and develop optimization procedures of the model parameters

'''Biological or Medical aspects''': This kind of analysis allow to estimate the most probable way of evolution, and permit to answer a lot of question like phenotypic evolution, comparative analysis between species and more other.
BM formula: [[File:BM formule.pdf]] 

'''Supervisors''':  [[User:Anna|Anna Kostikova]] & [[User:Nicolas|Nicolas Salamin]]

'''Students''': Berto Polerà, 3rd years of bachelor in biology. 

'''Presentation''': 

'''References''':
<biblio>
#M A Butler, A A King 2004 "Phylogenetic comparative analysis: A modeling approach for adaptive evolution" American Naturalist: 164(6): 683-695
</biblio>

Back to [[UNIL BSc course: "Solving Biological Problems that require Math 2011"]]]