22145 Immunological Bioinformatics Course Programme Fall 2025

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General information

Where and when

Wednesday from 9 to 12 in building 208, holdlokale 3/065, starting on Wednesday, Sep 3 at 9:00. Classess will start at 9am unless specified. The first hour of the course will be dedicated to course-preparation. Including some videos or paper reading material

Teachers

Teaching assistant

Course content

The course aims to introduce the students to state-of-the-art methods within computational immunology.

There is a strong focus on introducing the methods in context with immunology as a domain-specific knowledge area. Furthermore, an introduction to the theory of the methods will be followed by practical exercises, enabling the student to independently perform analyses. The course covers immunological bioinformatics and computational vaccinology with an outlook on infectious diseases, cancer immunotherapy, and autoimmunity.

The course is taught in two parts. Part 1 covers lectures and group-based exercises, and part 2 will cover a group-based research project with the output being a poster presentation on the last day of the course.

See also the course base about 22145.

Curriculum

There is no formal textbook. The curricula consist of lectures and exercises performed in class, supplemented with various papers and book chapters which will be made available on DTU Learn. Please note that all exercise guides are mandatory curriculum — including the answers to the exercises which will be made available on DTU Learn after each exercise.

Hand-ins

Regardless of your choice of writing software, the result must be handed in as a PDF file.

It is possible (and recommended) to hand in as a group.

The hand-ins do not affect your grade — they are mainly meant as a preparation for the exam. They are also a means for us to check the understanding of the teaching; if we can see that many participants have made the same mistake, we will try to explain the issue better at the beginning of the next lecture.

Exam

The exam consists of a group oral project presentation with individual questions at the end of the course, and a final 2-hour written exam. The grade is based on an overall assessment of both parts of the exam. It is a requirement that the oral presentation is completed, and the written exam is passed, to pass the entire course. The questions will be made available as a PDF file on the DTU online exam system. The only accepted hand-in format is PDF.

All aids are allowed at the exam; you can bring any books, papers, or notes. You will have open access to the internet which includes all the materials and websites we have used during the course. You are also allowed to search for information on ChatGPT, Google, Wikipedia, etc., but you are not allowed to communicate with others through e-mail, Facebook, chat, or file-sharing websites. The internet traffic will be logged during the exam to ensure that these restrictions are kept.

AI bots are allowed but you should state in your answer where and how you have used them. A word of wisdom here: AI generative models will give very general answers which might make you loose precious time of the exam, so be careful on their use.

DTU Learn Link

Evaluation and feedback

We will be very happy to receive comments, suggestions, criticisms, or praise at any time during the semester. You can:

  • send them by email to the teachers, or
  • write them under "General feedback" in "Discussion" in DTU Learn.

If somebody writes a message in "Discussion", you can comment on it. If you see a message you agree with, please comment "Agree!" so that we can see that it is not just one person's opinion.

In addition, we will conduct a mid-term evaluation just after the autumn break in DTU evaluation.

Lecture & exercise plan

Note: This is a preliminary plan, changes may occur!

Wednesday, Sep 3 — Introduction & databases

Lectures:
  • Introduction to immunological bioinformatics — Carolina Barra Quaglia.
  • Databases — Carolina Barra Quaglia.
Slides: All slides will be made available on DTU Learn.
Exercise:

Wednesday, Sep 10 — B cell epitopes

Lecture: B cell receptors and B cell epitopes — Carolina Barra Quaglia
Slides: on DTU Learn.
Exercise:

Wednesday, Sep 17 — Allergenicity prediction

Lecture: Allergens — Carolina Barra Quglia
Slides: on DTU Learn.
Exercises:

Wednesday, Sep 24 — MHC binding predictions

Lecture: MHC binding predictions part 1 — Morten Nielsen.
Slides: on DTU Learn.
Exercise:

Wednesday, Oct 1 — MHC binding predictions

Lecture: MHC binding predictions part 2 — Morten Nielsen.
Slides: on DTU Learn.
Exercise:

Wednesday, Oct 8 — Antigen Processing and Immunogenicity

Lecture: Antigen Processing — Carolina Barra Quaglia
Lecture: Immunogenicity prediction — Carolina Barra Quaglia
Slides: on DTU Learn.
Exercises:


Autumn holiday

Wednesday, Oct 22 — TCR interaction models and TCR repertoires

Workshop: TCR interaction models and TCR repertoires — Leon Eyrich Jessen
Slides: on DTU Learn.
GitHub link:

Wednesday, Oct 29 — Vaccine design

Lecture: Vaccine design — Morten Nielsen
Slides: on DTU Learn.
Exercise:


Wednesday, Nov 5 — Predictions in Autoimmunity

Lecture: Case study: Autoimmunity — Carolina Barra
Short introduction to project work — Carolina Barra
Slides: on DTU Learn.
Exercises:


Wednesday, Nov 12 — Project work

Lecture: No LECTURE

Wednesday, Nov 19 — Project work

Lecture: No LECTURE

Wednesday, Nov 26 — Project work

Lecture: No LECTURE


Wednesday, Dec 3 — Poster session

Poster presentations will be starting at 8:00am
Agenda for the poster presentations: TBD

Exam

Wednesday, Dec 18

Winter exam E5-A 2024: Go to https://eksamen.dtu.dk/ and find 22145.


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