SHUA11003U Course in Bioinformatics and Systems Biology

Volume 2015/2016
Education

MSc in Human Biology - compulsory

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.

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
None
Lectures and practical exercises
The courses "Molecular Biology and Genetics", Advanced Cell Biology" and Bioinformatics and Systems Biology" must be passed before registration for the exam "Exam in Molecular Biology and Genetics and Advanced Cell Biology".

The student's total workload is stated in "Exam in Molecular Biology and Genetics and Advanced Cell Biology".
  • Category
  • Hours
  • Exam
  • 0
  • Total
  • 0
Credit
0 ECTS
Type of assessment
Course participation
Practical written examination
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 assesment

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