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 PyMol, R 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

ECTS
0 ECTS
Type of assessment
Course participation
Participation in laboratory 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 PyMol, R 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