TFTB46 · 6 credits · Advanced level (A1N) · Teknisk biologi, Kemisk biologi
Advanced Bioinformatics
Active · next start HT 2026
100%
passed the latest regular sitting
LAB1 · 15 Oct 2026 · 21 students
100%
passed the regular sittings, all sittings over the last 5 years
LAB1 · 161 students
This module only reports passing results, so the pass rate does not show how many did not pass.
Part of 2 programmes
Hand-in or lab
LAB1 Laboratory work
- G
Main rounds
100% passed · 161 students
- 100%21
- 100%33
- 100%22
- 100%26
- 100%27
- 100%32
Later rounds
No sittings with at least 5 students.
Show small sittings (3)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%2
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
UPG1 Written examination
- G
Main rounds
100% passed · 150 students
- 100%21
- 100%33
- 100%22
- 100%23
- 100%30
- 100%21
Later rounds
100% passed · 6 students
- 100%6
- Pass a later round: 100% (6 students), compared with 100% (150 students) on the ordinary exam
Show small sittings (3)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%1
- 100%4
About the course
Aim
In molecular biology, bioinformatics has become an important tool to manage and take advantage of the large amounts of valuable data produced. Computerized analysis has a role as both a support for laboratory projects and a way to extract knowledge from existing data sets. The rapidly growing amount of information, however, there are new requirements to automate and make large-scale analyzes. This course aims to introduce technologies to meet this challenge. The topics covered by the course has many applications, but we select examples from bioinformatics.
After the course you should be able to:
- Working in Unix
- Structuring information for effective computer processing
- Use a scripting language to solve bioinformatics problems.
- Use code libraries in the area to facilitate programming
- Create automated pipelines for various applications.
Content
Working in Unix, introduction to Python, Good practice for scientific programming. Important code libraries for scientific programming, terminology in bioinformatics, databases and important software / methods.
- Examiner
- Björn Wallner
- Scheduled hours
- 48 h
- Main field of study
- Teknisk biologi, Kemisk biologi