Osaamistavoitteet

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.

Sisältö

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.

Toteutustavat

Opetustapa	Paikalla	Verkossa
Luento-opetus	20 t	0 t

Lectures, Journal Club, Projects.

Opetuskieli

englanti

Arviointi

Numerolla 1-5.

Suositellut suoritusajankohdat

2. vuoden kevät

Kirjallisuus/Oppimateriaali

Computational Cell Biology; Springer-Verlag, 2002; ISBN 0-387-95369-8 Systems Biology - Definitions and Perspectives; Alberghina, Lilia; Westerhoff, H.V. (eds.)

Lisätietoja

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.

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