Nicolas/Anna: TBA

### From Computational Biology Group

**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 complex evolutionary models. Therefore, the key challenge today is to develop and test the models which can adequately describe evolution.

**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:**
**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"