The course focuses on evolutionary analyses and analyses of biological diversity. After the course, the student should be able to:
explain and justify different models of sequence evolution
explain and evaluate different phylogenetic optimality criteria and choose the appropriate criterion to solve a given problem
outline and apply the process to carry out and evaluate a phylogenetic analysis and explain its different parts
explain the principles of up-to-date multivariate methods
choose and apply (for the problem area) existing software on a given biological problem
critically analyse, evaluate and compile obtained results
The course mainly deals with bioinformatics with a focus on evolutionary analyses and contains the following parts and aspects:
Models for sequence evolution and statistical sequence comparisons. Phylogenetics; trees and networks, parsimony, distance methods, probability-based methods (maximum likelihood and Bayesian inference). Multivariate methods for reducing dimensionality and visualisation (PCA and MDS). GIS.
The teaching is provided in the form of web-based teaching,computer exercises and project assignment.
Modules: Theory 2 credits; computer exercises 2 credits; project 1 credit The theory part is examined by a written examination. The modules computer exercises and project are examined in writing.