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

English

Evaluation

Numeric 1-5.

Recommended year of study

2. year spring

3 rd period.

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 IMT

Belongs to following study modules