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The amount of available data in life sciences is rapidly increasing. To use this data in the best possible way, is rapidly becoming one of the corner-stones in all biological research.

This course is part of the joint Master’s programme in Molecular techniques in life science, together with KTH and KI. The course is not open for application to students outside of the programme.

Read more about the programme on here>>.

For free standing course, please apply for Bioinformatics, distance 7,5 (KB7021).

In the future, or already today, we believe it will only be possible to become a successful life science scientist if you, in addition to your own data, fully can use data available from large scale studies.

In this course we will cover the basic bioinformatical methods to analyze protein sequence and protein structure. The goals are that after this course you should be able to use state of the art methods to predict the function and structure of an unknown protein sequence.

You will learn to use and understand the basic tools in bioinformatics, including tools for:

  • sequence searching
  • sequence alignments
  • secondary structure
  • fold recognition
  • homology modeling.
  • Course structure

    The course deals with the basics of bioinformatics, especially methods for studying biological sequence data and sequence statistics.

    After completing the course, the student is expected to be able to:

    • describe, explain, and compare basic methods for aligning sequences and searching sequence databases
    • explain and compare sequences, explain, and analyze methods for predicting properties of proteins
    • use Linux for standard tasks
    • demonstrate proficiency in solving problems using bioinformatics tools within given time frames.

    Teaching format

    Teaching consists of lectures and computer labs.


    Course responsible

    Arne Elofsson (

  • Contact

    Course responsible

    Samuel Flores


    Chemistry Section & Student Affairs Office:

    Office:        Chemical Practice Laboratory M345