Study Guide@lith
 

Linköping Institute of Technology

 
 
Valid for year : 2017
 
TFTB46 Advanced bioinformatics, 6 ECTS credits.
/Avancerad bioinformatik/

For:   KeBi   TB  

 

Prel. scheduled hours: 48
Rec. self-study hours: 112

  Area of Education: Science

Main field of studies: Chemical Biology, Engineering Biology

  Advancement level (G1, G2, A): A

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.


Prerequisites: (valid for students admitted to programmes within which the course is offered)
Biochemistry, Cellbiology, Microbiology, Gene technology and molecular genetics, Bioinformatics

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.

Organisation:
The teaching consists of lectures and practical exercises. Lectures presents underlying theory and applications. The practical laboratory work aims to exemplify and deepen knowledge on realistic problems and issues.

Course contents:
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.

Course literature:
Practical computing for biologists, Steven H.D. Haddock
Scientific articles.


Examination:
Assignment
Laboratory work
3 ECTS
3 ECTS
 



Course language is English.
Department offering the course: IFM.
Director of Studies: Magdalena Svensson
Examiner: Björn Wallner

Course Syllabus in Swedish

Linköping Institute of Technology

 


Contact: TFK , val@tfk.liu.se
Last updated: 02/06/2017