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DD2396 Bioinformatics 6.0 credits

Information per course offering

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Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DD2396 (Autumn 2009–)
Headings with content from the Course syllabus DD2396 (Autumn 2009–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

After completing this course, you will be able to

  • use the most important public databases for literature, sequence information and structure information.
  • perform sequence comparisons and give justified interpretations of the results.
  • choose between evolutionary models in a rational way.
  • reconstruct the evolutionary history of a sequence family as well as data allows.
  • provide important structural information about genes, proteins, and genomes.
  • interpret and make use of gene expression data.
  • establish the statistical significance of bioinformatic results.
  • discuss opportunities and limitations with bioinformatic tools
  • plan for new bioinformatic problems and solve these by combining the tools you learn about in this course.

Intended learning outcomes

This course aims to give an introduction to the field of Bioinformatics and the tools it provides for researchers today. This includes an understanding of basic theory in the area and skills in using commonly used software tools. An overview of the future direction of Bioinformatics is also offered through examples from the scientific frontline.

Literature and preparations

Specific prerequisites

3A1501/BB1010 Introduction to biotechnology and 3A1512/BB1020 Cellbiology and basic computer knowledge equivalent to 2D1311/DD1311 Programming Technique or 2D1212/DD1212 Numerical Methods and Basic Programming.

Literature

Subject to change, but we have recently used Baxevanis och Oullette, Bioinformatics: A practical guide to the analysis of genes and proteins. It will be announced at the course home page at least 4 weeks before course start.

Examination and completion

Grading scale

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

Examination

  • TENA - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F
  • LABA - Laboratory Work, 1.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.

Other requirements for final grade

One exam (TENA; 4,5 university credits).
Laboratory assign (LABA; 1,5 university credits).

Examiner

No information inserted

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Education cycle

Second cycle