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Bioinformatics, distance course

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.

Information for admitted students Spring 2021

Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.

In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.

Follow the instructions on wether you have to reply to your offer or not.
universityadmissions.se

 

Checklist for admitted students

  1. Activate your university account

    The first step in being able to register and gain access to all the university's IT services.

  2. Register at your department

    Registration can be done in different ways. Read the instructions from your department below.

  3. Read all the information on this page

    Here you will find what you need to know before your course or programme starts.

IMPORTANT

Your seat may be withdrawn if you do not register according to the instructions provided by your department.

Welcome activities

Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department. 

su.se/welcomeactivities 


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Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.

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Pre-departure information

New in Sweden

This course is running as a distance course. No attendence on campus is required.

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 conducted remotely. No lectures, seminars or practicals will be held on campus.

    Assessment

    Theory, written exam

    Laboratory part, lab reports

     

    Examiner

    Arne Elofsson

    E-mail: arne.elofsson@dbb.su.se

  • Contact

    Course coordinator

    Samuel Flores

    E-mail: samuel.flores@dbb.su.se

    Chemistry Section & Student Affairs Office:

    Office:        Chemical Practice Laboratory M345
    E-mail:       chemistry@su.se

    https://www.kemi.su.se/english/