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.
Type of course
Course coordinators
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.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Bachelor's degree, first cycle programme, Computer Science
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: