BB2441 Bioinformatics 7.5 credits


Please note

The information on this page is based on a course syllabus that is not yet valid.

  • Education cycle

    Second cycle
  • Main field of study

  • Grading scale

    A, B, C, D, E, FX, F

Course offerings

Autumn 19 for programme students

Autumn 19 for programme students CANCELLED

Autumn 18 for programme students

Intended learning outcomes

After passing the course the student should be able to:

  • account for the importance of bioinformatics in modern life science
  • account for applications and limitations of bio-informatic methods
  • explain basic bio-informatic methods
  • use relevant bio-informatic tools to solve bio-informatic issues
  • justify the choice of bio-informatic tools
  • interpret the results of bio-informatic analyses
  • use programming scripts to carry out basic bio-informatic operations
  • use basic commands in Unix/Linux or the equivalent

Course main content

Bio-informatic theory and practice: Pairwise sequence alignment of protein and DNA/RNA- sequences, multiple sequence alignment, significance of alignment results, properties of protein- and DNA/RNA-sequences including sequence conservation, homology, phylogeny, gene expression and differential gene expression, clustering of vectors, introduction to public databases with relevance for the subject as well as extraction of relevant data from the same. Use of both command line operations for data analysis and file management (in Unix/Linux or the equivalent operating system) and available web-based tools for data analysis (e g Galaxy).

Programming: read-in from file, basic operations on imported data such as conditional execution, loops, and regular expression as well as printout of results to file.


For degree programme students at KTH is required:

At least 150 credits from school year 1, 2 and 3 of which at least 100 credits from school year 1 and 2 as well as bachelor's thesis must be completed. The 150 credits should include completed courses equivalent to at least 20 credits in mathematics, numerical methods, data, of which at least 5 credits are constituted by numerical methods and data as well as at least 15 credits in total in biotechnology, biochemistry and/or molecular biology

For independent students is required:

In total 15 credits (credits) in biotechnology, biochemistry and/or molecular biology. In total 20 credits (credits) in mathematics, numerical methods and programming of which 5 credits (credits) are constituted by numerical methods and data as well as documented knowledge in English equivalent English B.


Scientific articles, web resources and lecture slides that are distributed during the course. Possible prescribed books are granted on the web page of the course no later than four weeks before start of the course.


  • LAB1 - Computer exercises, 2.5, grading scale: P, F
  • TEN1 - Examination, 5.0, grading scale: A, B, C, D, E, FX, F

Offered by

CBH/Gene Technology


Olof Emanuelsson <>

Supplementary information

Recommened:BB1150 Biochemistry 1 (or equivalent), BB1190 Gene technology (or equivalent), SF1625 Calculus in one variable (or equivalent), SF1911 Statistics for bioengineering (or equivalent), and BB1000 Programming in Python (or equivalent). 

Overlaps with BB2440


Course syllabus valid from: Autumn 2019.
Examination information valid from: Spring 2019.