Course - Bioinformatics - Applied Project - MOL3021
Bioinformatics - Applied Project
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About the course
Course content
The course gives a practical introduction to important methods in bioinformatics, including sequence library searches, pairwise and multiple alignment, phylogenetic analysis, gene prediction, ontology-based analyses, motif discovery and structure prediction. The students will be able to test the methods on realistic problems through computer-based exercises. The students will also do a project where different methods are combined. An individual report from the project will be the basis for grading. The course is in particular targeted towards students with a background from molecular biology who wants to use bioinformatics in an applied context, for example for analysing own data.
The course overlaps with MOL3022, except for the project assignment.
Learning outcome
After completing the course the student is able to:
- explain function and usage of important bioinformatics tools, in particular for analyses at the sequence level (genome, gene, RNA and protein)
- describe important formats for storage and exchange of biological information
- describe content and use of important bioinformatics databases and web portals
- use bioinformatics tools and databases to analyse relevant data from molecular biology
- use relevant bioinformatics tools and databases in own projects
Learning methods and activities
Lectures and exercises (computer lab). The lectures are given intensively in two weeks in the spring semester, and includes initial work on the project assignment.
The language of instruction is English.
Compulsory assignments
- Exercises
Further on evaluation
Evaluation is done based on the project report. It is possible to get feedback on the project work and report before it is submitted. In the case of new evaluation in the following semester, a new report has to be submitted, and the topic of the project must be different from the previous project. The language of instruction is English, and the exam must be answered in English.
Recommended previous knowledge
Basic knowledge in molecular biology, statistics and informatics.
Course materials
Announced at the start of the course.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| MTEK3001 | 7.5 sp | Autumn 2015 |
| MOL3022 | 7.5 sp | Autumn 2015 |
| MOL3019 | 7.5 sp | Autumn 2016 |
| BT3220 | 3.7 sp | Autumn 2018 |
Subject areas
- Molecular Medicine
- Medical Technology
- Bioinformatics
- Biology
- Biotechnology
- Informatics
- Medicine