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Slides day 1
Exercise 1 - Parameter estimation
Exercise 2 - Tree topologies
Exercise 3 - Model comparison
Exercise 4 - Branch support
Exercise 5 - Command line
Exercise 6 - Inferring ML phylogenies with codon models
Exercise 7 - Inferring ML phylogenies using real datasets
Exercise 8 - Re-Analyze published datasets
Exercise 7 - Inferring ML phylogenies using real datasets
Inferring phylogenies using maximum likelihood
In this tutorial you will be guided in using PhyML and its extension, CodonPhyML, to solve common phylogenetic problems. For some of the following exercises there might be more than one single solution.
Goal: Analysing real datasets
Analyze a real dataset - the primate AA dataset - and test for substitution models with and without frequencies estimation.
Datasets
Dataset file:
Fist Step
Set the model to LG+Gamma, and try both +F and –F options.
Second Step
Search for the best model using ProtTest: http://darwin.uvigo.es/software/prottest2_server.html
Tasks
- Compare the trees and the likelihood values. Which model is best, based on AIC criterion. What about using invariant sites?
- After executing the second step, compare the trees, likelihood and AIC values to those of LG+Gamma.
This exercise was prepared by Maria Anisimova
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