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Archived Curricula Guide 2011–2012
Curricula Guide is archieved. Please refer to current Curricula Guides
BIOI4220 Systems Biology I 4 ECTS
Organised by
Person in charge
Mauno Vihinen
Preceding studies

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.


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


Modes of study

Lectures (approx.20 h), Journal club, Projects


Numeric 1-5.

Recommended year of study

2. year spring

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

Organization responsible: Tampere IBT
An alternative course SGN-6106 Computational Systems Biology I, 5 ECTS is arranged by the Technical University of Tampere. Please note that in order to enrol on the course you have to fill in the JOO-application. More information about the enrolment etc. from Martti Tolvanen or Riitta Aallos.

You cannot include both BIOI4220 and BIOI4221 for credit in your degree.

Belongs to following study modules

Institute of Biomedical Technology
Bioinformatics (Biochemistry)
Institute of Biomedical Technology
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Institute of Biomedical Technology