Difference between revisions of "Uncovering modes of evolution: testing for selection versus genetic drift in species diversification"
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'''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 | '''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. | + | '''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. |
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| + | BM formula: [[File:BM formule.pdf]] | ||
| + | OU formula: [[file: ou.script.pdf]] | ||
'''Supervisors''': [[User:Anna|Anna Kostikova]] & [[User:Nicolas|Nicolas Salamin]] | '''Supervisors''': [[User:Anna|Anna Kostikova]] & [[User:Nicolas|Nicolas Salamin]] | ||
Latest revision as of 11:06, 27 May 2011
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 OU formula: File:Ou.script.pdf
Supervisors: Anna Kostikova & 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"]
