After passing the course the student should be able to
assemble raw sequence data to genome sequences and/or align them to existing reference genomes
analyse genome sequence data with regard to e.g. gene expressions, functional genomics, genome evolution and variation in populations
choose as well as apply methods in comparative genomics to analyse and draw conclusions about the biology and evolution of organisms
choose sequence technology and apply existing software for given biological problems in the area
critically analyse, evaluate and compile achieved results of genome analyses
discuss and present social, ethical and scientific aspects of genomics.
The course covers bioinformatics with a focus on analysis of genome sequence datasets, and contains the following components and aspects: Methods for large-scale sequencing and its different applications. Assembly of raw sequence data to complete genomes. Mapping of raw sequence data to existing reference genomes. Principles for annotation of genes and other biological information, annotation system, the problems with automatic annotation. Bioinformatic aspects on different methods to study the function, variation and evolution using large-scale sequencing of the genome. Bioinformatic aspects of metagenomics.
Lectures, seminars and computer exercises.
Written examination (5 credits). Participation in at least 80% of the seminars and presentation of computer exercises (5 credits).
week 27, 2017
Scientific articles will be used during the course.