The course focuses on comparative sequence analyses and public databases. After the course, the student shall be able to � identify and choose appropriate public databases to solve a given biological problem � explain the principles for cost based sequence alignment � outline the process from sequence data to an annotated genome and explain the different techniques that are used � choose and apply (for the problem area) existing software on given biological problems � implement simpler algorithms for data handling in Perl � critically analyse, evaluate and compile received results � Contents
The course deals mainly with bioinformatics with focus on sequence data (DNA/RNA and protein) and contains the following parts and aspects:
Public bioinformatic databases, their design and search tools. Contig assembly. Identification of coding sequences. Pair-wise and multiple sequence alignment, heuristic methods for sequence alignment. Annotation of genomes.
Bioinformatic software and Linux environment. Automation of bioinformatic analyses using Perl.
The teaching is given in the form of computer-based net teaching, lectures, computer exercises and project assignment.
To pass the course is required that all computer exercises equivalent to 2 credits and project assignment equivalent to 1 credit has been presented in writing and is passed. The theory part is examined by a written examination equivalent to 2 credits.