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
Modes of study
Lectures (approx.20 h), Journal club, Projects
Evaluation
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 IMT 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.