Course in Bioinformatics and Systems Biology

Course content

Bioinformatics plays a decisive role in molecular biology, but has also become a key topic in medical research. The focus in bioinformatics is on integrative analysis of high-throughput biological data, ranging from molecular-level data on sequences and macromolecular structures to clinical data. A major aim of this is to gain insights into complex diseases such as diabetes and cancer. The objectives of the course are to provide the students knowledge of a range of methods for finding, analyzing and integrating heterogeneous biological data in the context of a specific disease, and to provide them with the necessary foundation to critically evaluate results of such analyses.

Education

MSc in Human Biology - compulsory

Learning outcome

After completing the course the student is expected to:

Knowledge

  • Discuss how the information from biological experiments may be represented in an electronic format
  • Discuss how heterogeneous data can be integrated and evaluate

 

Skill

  • Search for data in publicly available databases such as GenBank, PDB 
and STRING
  • Use data analysis programs such as Unix, PyMol and Cytoscape
  • Produce and critically evaluate sequence alignments and protein networks
  • Present heterogeneous data on a biological system for answering biological questions
     

Competence

  • Master a range of methods for finding, analyzing and integrating heterogeneous biological data in the context of a specific disease
  • Critically evaluate results of such analyses

Lectures and practical exercises. Exercises are held together with course in Advanced Cell Biology, SHUA13002U.

15 ECTS-points will be credited when passing the exam in Molecular Biology and Genetics and Advanced Cell Biology, SHUA13001E

Written
Oral
Individual
Collective
Continuous feedback during the course of the semester
ECTS
0 ECTS
Type of assessment
Course participation
Participation in exercises and subsequent preparation of exercise reports
Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
One internal examiner
Criteria for exam assessment

To achieve a course certificate, the student must be able to:

Knowledge

  • Discuss how the information from biological experiments may be represented in an electronic format
  • Discuss how heterogeneous data can be integrated and evaluate

 

Skill

  • Search for data in publicly available databases such as GenBank, PDB 
and STRING
  • Use data analysis programs such as Unix, PyMol and Cytoscape
  • Produce and critically evaluate sequence alignments and protein networks
  • Present heterogeneous data on a biological system for answering biological questions
  • Master a range of methods for finding, analyzing and integrating heterogeneous biological data in the context of a specific disease
  • Critically evaluate results of such analyses

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 35
  • Preparation
  • 70
  • English
  • 105