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 for 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 make and evaluate a phylogenetic analysis and explain the different subparts
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 analyses). Multivariate methods for reducing dimensionality and visualisation (for example PCA and MDS). GIS. Databases for biodiversity.
The teaching is given in the form of computer-based net teaching, lectures, computer exercises and project assignment.
To pass the course, the student is required to, by written reports, to pass all computer exercises equivalent to 2 credits and project assignment equivalent to 1 credit. The theory part is examined by a written examination equivalent to 2 credits.