Theory and methods for: pairwise alignment of DNA/RNA and protein sequences; multiple sequence alignment; analysis of DNA/RNA and protein sequence motivs; phylogenetic analysis; gene expression analysis. Public data bases and tools. Programming basic bioinformatic algorithms.
CB2442 Bioinformatics 7.5 credits
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This course focuses on basic bioinformatical methods for the analysis of molecular biology data
About course offering
For course offering
Autumn 2024 Start 26 Aug 2024 programme students
Target group
No information insertedPart of programme
Master's Programme, Computer Simulations for Science and Engineering, åk 2, Conditionally Elective
Master's Programme, Engineering Physics, åk 2, TFYE, Conditionally Elective
Master's Programme, Industrial and Environmental Biotechnology, åk 1, CBPB, Recommended
Master's Programme, Industrial and Environmental Biotechnology, åk 1, ENBT, Recommended
Master's Programme, Industrial and Environmental Biotechnology, åk 1, ENZT, Recommended
Periods
P1 (7.5 hp)Duration
Pace of study
50%
Form of study
Normal Daytime
Language of instruction
English
Course location
AlbaNova
Number of places
Places are not limited
Planned modular schedule
Course memo
Course memo is not publishedSchedule
Link to scheduleApplication
For course offering
Autumn 2024 Start 26 Aug 2024 programme students
Application code
51233
Contact
For course offering
Autumn 2024 Start 26 Aug 2024 programme students
Examiner
No information insertedCourse coordinator
No information insertedTeachers
No information insertedContent and learning outcomes
Course contents
Intended learning outcomes
After passing the course the student should be able to:
- explain basic bioinformatic methods
- give an account of applications and limitations of bioinformatic methods
- use relevant methods to analyze bioinformatic problems
- interpret the results of bioinformatic analyzes
- program basic bioinformatic algorithms
Literature and preparations
Specific prerequisites
Minst 150 högskolepoäng från årskurs 1, 2 och 3 varav minst 100 högskolepoäng från årskurs 1 och 2 samt kandidatexamensarbete måste vara avklarade. I de 150 poängen skall ingå avklarade kurser motsvarande minst 20 hp matematik, numeriska metoder, data, varav minst 5 hp utgörs av numeriska metoder och data, samt minst 15 hp totalt inom bioteknik, biokemi, och/eller molekylärbiologi
Recommended prerequisites
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB1 - Computer exercises, 2.5 credits, grading scale: P, F
- TEN1 - Written exam, 5.0 credits, grading scale: A, B, C, D, E, FX, 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.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
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.