Applied Bioinformatics II

Undergraduate course

Course description

Objectives and Content

Objectives and Content

The course offers students a thorough training in the use of selected bioinformatic tools for the functional annotation of genes. The course includes projects where students work together. These exercises are based on bioinformatics research at the department. As part of working with the project, students are trained to critically evaluate methods and results. The theme of the projects may vary every year, but at the moment are based on RNA-seq. The course can be part of the Master's program in molecular biology as long as it does not overlap with the content of the master's thesis. It is the supervisor of the master thesis and course coordinator responsible for  MOL217  that will together decide if there is an overlap.

Learning Outcomes

The course aims to provide a thorough knowledge about selected bioinformatical tools through case-studies based on experimental data and evaluation of tool performance.

Upon completion of course MOL217, students should be able to:

- explain and discuss the choice of bioinformatics methods that can be used to explore a given problem related to the functional consequence of gene expression data, and use these methods to carry out a project assignment based on independent work and work in groups.

- analyze and discuss results from a major bioinformatics project assignment in the light of own data and data from scientific articles.

- present results and analyzes from a bioinformatics project assignment as a project report.

ECTS Credits


Level of Study


Semester of Instruction

The course will not be running spring 2024.


This course has a limited capacity, enrolment is based on application. The application deadline is Wednesday in week 2 for the spring semester. Please see this page for more information. You will receive confirmation of whether you received a seat in Studentweb no later than Monday the week after the deadline.

It is compulsory to attend the first lecture/orientation meeting, or you risk losing your seat. If you are unable to attend the first lecture, you must contact the Study Section ( The time of the first lecture/orientation meeting can be found in the schedule on the course website or on Mitt UiB.

Place of Instruction

Required Previous Knowledge
The students should know basic principles of molecular biology (MOL100 + MOL200 or equivalent) and must have passed an introductory course in applied bioinformatics (MOL204 or equivalent).
Recommended Previous Knowledge
MOL201 and MOL103 (MOL203)
Credit Reduction due to Course Overlap
Access to the Course
In order to be admitted to the course, you must be admitted to a study programme at the Faculty of Mathematics and Natural Sciences and fulfill required previous knowledge.
Teaching and learning methods
Project exercises and group work.
Compulsory Assignments and Attendance
Project exercises and group work.Completed activities are valid for 3 semesters. The first lecture / orientation meeting is compulsory.
Forms of Assessment
Portfolio assessment. Written semester thesis consisting of individual work (70% of total marks) and report of group work (30% of total marks). Compulsory activity must be approved to take the exam.
Grading Scale
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Assessment Semester
Ordinary exam in spring semester. In semesters with no teaching there will be no exam.
Course Evaluation
Students will evaluate the teaching in line with UiB and the department's quality assurance system.
Examination Support Material