Difference between revisions of "Evolution of polymorphism in plants"

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:Rémy Morier-Genoud
 
:Rémy Morier-Genoud
 
'''Presentation:'''
 
'''Presentation:'''
:[[File: "Slides_BrownianMotion.pptx"]]
+
:[[Media:Slides_BrownianMotion.pptx.ogg]]
 
'''References:'''
 
'''References:'''
 
:A Butler, A A King 2004 "Phylogenetic comparative analysis: A modeling approach for adaptive evolution" American Naturalist: 164(6): 683-695
 
:A Butler, A A King 2004 "Phylogenetic comparative analysis: A modeling approach for adaptive evolution" American Naturalist: 164(6): 683-695
 
Back to [[UNIL BSc course: "Solving Biological Problems that require Math 2012"]]
 
Back to [[UNIL BSc course: "Solving Biological Problems that require Math 2012"]]

Revision as of 15:32, 31 May 2012

Evolution of polymorphism in plants


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 stochastic models. Therefore, the key challenge today is to develop and test algorithms which can adequately describe evolution of phenotypes.

Goal:

The goal of this project is to develop MCMC optimization of Ornstein-Uhlenbeck process with group-specific variance and then use it in phylogenetic comparative analysis to test for signal of directional/divergent selection in a group of plants

Mathematical tools:

Statistics (stochastic models and MCMC) 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.

Supervisors:

Anna Kostikova & Nicolas Salamin

Students:

Rémy Morier-Genoud

Presentation:

Media:Slides_BrownianMotion.pptx.ogg

References:

A Butler, A A King 2004 "Phylogenetic comparative analysis: A modeling approach for adaptive evolution" American Naturalist: 164(6): 683-695

Back to UNIL BSc course: "Solving Biological Problems that require Math 2012"