Bioinformatics Project 4

Course content

The exact content is decided with the supervisor.


MSc Programme in Bioinformatics

Learning outcome


The aim with these projects is to get a deep understanding of a bioinformatics topic often related to a research project. This is often a practical biological application using the computational methods you have been introduced to in other courses, e.g. testing a biological hypothesis on massive data sets. It may also be the implementation of a new method using python or some other programming language or an entirely theoretical project.


  • Write a bioinformatics report
  • Search for background material
  • Select and use relevant bioinformatics tools for a specific project


The student will obtain these general competences

  • Ability to do project work
  • Writing a scientific report
  • Presenting work orally
  • Analyze complex real-world problems

Individual project with a supervisor.

See Absalon.

Knowledge within bioinformatics. Programming at least at the level of "Linux and Python Programming" is recommended.

Academic qualifications equivalent to a BSc degree is recommended.

You have to find a project topic and a supervisor before the start of the block. If your supervisor is external (not in Bioinformatics at Department of Biology or at DIKU), you also need an internal supervisor from one of these groups (the "internal supervisor"). You do not need to fill in any contracts. Do NOT confuse these projects with PUK projects! Ask your internal supervisor if you have questions about these projects.

Continuous feedback during the course of the semester
Feedback by final exam (In addition to the grade)

Written and/or oral feedback during the project work.
Oral feedback at the exam.

7,5 ECTS
Type of assessment
Written assignment
Oral examination, 60 min. (no preparation)
Type of assessment details
Written assignment, min. 2000 words (2/3 of final grade)
- Ongoing preparation throughout the course with submission at the end of the course.
Oral examination (1/3 of final grade)
Exam registration requirements

Written take-home assignment, min. 10 pages.        
Ongoing preparation throughout the course with submission at the end of the course.

All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners

The same as the ordinary exam.

Students must pass both exams to pass the overall exam. The passed part of the exam may be reused in a reexam.

If the written assignment is not passed it may be revised and submitted no later than three weeks before the reexam.

If the written assignment is not submitted witin the deadline it must be submitted no later than three weeks before the reexam.

Criteria for exam assessment

In order to achieve the grade 12 the student must

  • Complete a project in bioinformatics, which adresses an important problem and presents a solution, or a partial solution, at an adequate level.
  • Identify relevant literature and understand the parts relevant for their project.
  • Write a scientifically precise report, which motivates their work, clearly presents the background, presents the methods and results of the work without errors, discusses the implications of the results and draws scientifically sound conclusions based on the work.
  • Present the work in a clear and scientifically satisfactory way, including motivation, methods, results, main achievements and future outlook.
  • Answer questions about any part of the project in reasonable depth and explain the core methods and results of the project in great detail.
  • Put the work in context and discuss possible future directions of research in the area and judge the relevance of such work.

Single subject courses (day)

  • Category
  • Hours
  • Preparation
  • 19
  • Project work
  • 176
  • Guidance
  • 10
  • Exam
  • 1
  • English
  • 206


Course number
7,5 ECTS
Programme level
Full Degree Master

1 block

Block 1, Block 2, Block 3, Block 4 And Summer
Meetings with supervisor.
No limitation
The number of seats may be reduced in the late registration period
Study Board for the Biological Area
Contracting department
  • Department of Biology
  • Department of Computer Science
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Rasmus Heller   (7-756b686f6f687543656c72316e7831676e)
Saved on the 28-02-2023

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