Learning outcomes
Systems biology is an academic field that seeks to integrate biological data as an attempt to understand how biological systems function. By studying the relationships and interactions between various parts of a biological system, it is hoped that an understandable model of the whole system can be developed.
Contents
Introduction to systems biology; High throughput technologies in biology; Inferring gene networks from microarray Data; General Analyses of metabolic networks; General Analyses of signal transduction networks; SBML and systems biology related algorithms (ODE/LP); Systems biology related databases and tools; Examples and software tutorials.
Teaching methods
| Teaching method | Contact | Online |
| Lectures | 20 h | 0 h |
Lectures, Journal Club, Projects.
Teaching language
EnglishModes of study
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Lectures (approx.20 h), Journal club, Projects
Evaluation
Numeric 1-5.Study materials
Computational Cell Biology; Springer-Verlag, 2002; ISBN 0-387-95369-8 Systems Biology - Definitions and Perspectives; Alberghina, Lilia; Westerhoff, H.V. (eds.)
Further information
Not available any longer.
You cannot include both BIOI4220 and BIOI4221 for credit in your degree.
Belongs to following study modules
2013–2014