Entry requirements

Bioinformatic Analyses I.

Learning outcomes

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

Content

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.

Instruction

The teaching is provided in the form of web-based teaching,computer exercises and project assignment.

Assessment

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.