Comparative genomics 1000-719GP2
1. Basic notions: genes, species, genomes, evolution, multiple alignments, comparing sequences.
2. Models of sequence evolution.
3. Tree inference: maximum likelihood, maximum parsimony, neighbor-joining.
4. Bayesian methods.
5. Clustering of molecular sequences
6. Hierarchical clustering.
7. Bootstrapping.
8. Consensus trees.
9. Supertrees.
10. Reconciled trees.
11. Phylogenetic networks.
Course coordinators
Type of course
Learning outcomes
has knowledge of advanced methods used in comparative genomics
can perform calculations related to comparing genomes and interpret their results
Assessment criteria
Large lab project – 33 pts. (required at least 15)
Small lab projects – up to 10 pts.
Exam - 60 pts.
Exam "0": large lab project + 50% small lab points required
Bibliography
1. Joseph Felsenstein, Inferring Phylogenies
2. Paul G. Higgs, Teresa K. Attwood, Bioinformatics and Molecular Evolution
3. R. Durbin, S. Eddy, A. Krogh, G. Mitchson, Biological Sequence Analysis.