Courses and Events

ll courses funded by this research school will make all of its material freely available online to everyone in the world using the Creative commons 3.0 license. Lectures may be recorded on video and put online.

By Board decision (21 August 2018), we will provide a completion certificate to students that pass five of the required courses and attend two Annual Meetings. The certificate outlines the school’s goals and obligatory elements, and describes the competitive acceptance criteria. This certificate is not a degree and does not itself confer any additional ECTS points.

Compulsory courses (3-5 hp)

The basis for this research school is two compulsory courses per year for the students. The courses are progressive, i.e. the learning outcomes from the first course are a necessary requirement for the next course. The earlier courses are aimed at teaching important computational methods, while the later courses are aimed at relevant high-throughput methods for medical bioinformatics.

First-year courses:

1. Applied Bioinformatics, 5 hp (Lars Arvestad, SU). In this course the students will be taught a good working habits for bioinformatics. They will learn to work in Unix, using Python for scientific code development and learn about good practices for scientific programming. Tentative maximum enrollment of 30 students. Tentatively scheduled for 27-31 May 2019.

2. Algorithms in Bioinformatics, 5 hp (Lukas Käll, KTH). This course will provide an in depth understanding some of the most important algorithms used in bioinformatics. The students will learn how to apply fundamental algorithm design methodologies such as dynamic programming, clustering to problems in computational biology and bioinformatics. 17-21 September 2018.

Second- and third-year courses:

3. Machine Learning in Medical Bioinformatics (Björn Wallner, LiU). In this course the students will learn statistical and machine learning methods that are widely used in medical bioinformatics today. Ran June 11-15 2018. Course information and materials are published here.

4. Experimental design for high-throughput technologies, 3 HP (Carsten Daub, KI). In this important course the students will learn how to design the bioinformatics analysis of high throughput experiments. Given the background from the three earlier methods they should be able to design a pipeline that can easily be extended for more advanced analysis. If you are registered you will sign in to the course page here. September 3-7 2018.

5. Computational Systems Biology (Mika Gustafsson, LiU). Description pending. If you are authorized you will access the course page here. 20-24 May 2019.

6. Variation interpretation and structural bioinformatics (Mauno Vihinen, LU). In this course the student will learn how to use information from personal genomics studies to interpret the effects of small and large variations. The students will also learn how to use structural bioinformatics tools predictions and analyses of variant effects and mechanisms. Authorized students can sign in to the course site here. 21-25 January 2019.

Annual Meeting (1 hp)

The second compulsory part of the research school is the Annual Meeting. In addition, to increasing the communication between the medical and informatics community the Annual Meeting is also an important part of the education of the Ph.D. students. The Annual Meeting will include

1. Training in presentation and writing skills.

2. Thematic group meetings and presentations.

3. Individual mentoring by their bioinformatics mentor.

4. Research talks by students and PIs.

Additional courses

We will invite established bioinformaticians to submit proposals for advanced courses in an open call, per Board decision of 21 August 2018. Informal inquiries are welcome even now. Students have expressed interest in information theory, single-cell bioinformatics, and spatial transcriptomics; however all proposals will be considerd. The call is mostly directed to the Swedish bioinformatics community, but proposals by foreign scientists will be considered. The MedBioInfo Scientific Board will select a course with input from the Ph.D. students.

Outside courses

There are of course many fine courses available outside the Research School, in Sweden, abroad, or online, which we encourage students to take as appropriate. Contact the Dean if you find one that you are interested in. Programming courses are important for first-year students who have not had them (or the equivalent experience). SciLifeLab offers courses — the Python may be particularly appropriate. Check the registration deadline for this programming course, in 2017 it was in September.. Some of the core courses require programming, and students are responsible for meeting all prerequisites in time to take courses.

Preliminary schedule

  • 2017 (Year 1 for first batch of students)
    • Feb 28 Application deadline
    • Mar 31 Start of research school
    • June Applied Bioinformatics
    • Aug 21-22 Annual meeting and workshop
    • Oct 23-27 Algorithms in Bioinformatics
  • 2018 (Year 2 for first batch of students)
    • June 11-15 Machine Learning in Medical Bioinformatics (joint with NORBIS)
    • August 20-22 Annual Meeting (Workshop) for students. PIs to join August 21-22.
    • Sep  Experimental design for high-throughput technologies
  • 2019 (Year 3 for first batch of students)
    • Jan Variation interpretation and structural bioinformatics
    • May (tentative) Annual Meeting
    • May Systems biology

Mentoring

One of the aspects of this program is to improve the supervision of the students. Here, we propose to use a modified version of the idea used in Gothenburg some time ago with two supervisors for each student, one bioinformatician and one medical scientist. Our goal is that this program each student will be assigned a mentor from the Swedish bioinformatics community. The mentor should be from another research constellation than the student. The role of the mentor will be to help the student identify and solve computational bottlenecks in their research project. The student will discuss with the mentor at least twice per year, either via electronic meetings or by short visits.

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