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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 4 - Branch support
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: Computing the branch support on the inferred phylogenetic tree.
In this exercise we are going to compute the branch support using 2 different approaches: non-parametric ML bootstrap and SH-aLRT (note: the running time is much shorter for SH-aLRT).
Datasets
Dataset file:
First Run
Run PhyML with the using the branch support method: Bootstrap
Second Run
Run PhyML with the using the branch support method: SH-aLRT
Tasks
- Compare supports inferred by non-parametric ML bootstrap to those obtained using SH-aLRT method
- Are the results compatible?
This exercise was prepared by Maria Anisimova
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