Course Catalog 2008-2009
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2008-2009

SGN-6236 Modeling Techniques for Stochastic Gene Regulatory Networks, 3 cr
Modeling Techniques for Stochastic Gene Regulatory Networks
Implementation 1

Implementation 1

Lecture times and places:


Per 1 :
Monday 14 - 16, TB214
Friday 14 - 17, TC303
Tuesday 14 - 16, TC165


Description:

From this course the student will know how to do exact stochastic simulations, delayed stochastic simulations, and how to create models of delayed stochastic gene regulatory networks. Students will become familiar with detailed models and experimental results related to single gene expression and its underlying mechanisms. Also, the student will be introduced to basic concepts of cell type and cell differentiation and learn the latest modeling techniques in these topics.

Persons in charge:

Andre Sanches Ribeiro

Target groups:

Biotekniikan koulutusohjelma
DI-Opiskelijat
Jatko-opiskelijat
Teknis-luonnontieteellinen koulutusohjelma
Tieto- ja sähkötekniikan tiedekunta
Tietotekniikan koulutusohjelma
Ympäristö- ja energiatekniikan koulutusohjelma

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Methods of instruction:

Methods of instruction Hours
Lectures 36.0  
Excercises 36.0  
ITC Utilization 100.0  
Practical works 9.0  

Other measurings 
Sum of all 181.0  


Contact teaching: 50 %
Distance learning: 0 %
Proportion of a student´s independent study: 50 %

Additional information of course implementation:

Content 1 week (2 lessons, 45 mins each + 90 min Exercises) SSA. Examples. 2 week (2 lessons, 45 mins each + 90 min Exercises): .Delayed SSA .Examples 3 week (2 lessons, 45 mins each + 90 min Exercises): .Single expression with the delayed SSA .Examples 4 week (2 lessons, 45 mins each + 90 min Exercises): .Ergodic sets, noisy attractors as cell types .Examples: the toggle switch. 5 week (2 lessons, 45 mins each + 90 min Exercises): .Stochastic models of cell differentiation. .Examples and applications: Self-repressed gene and the repressilator 6 week (2 lessons, 45 mins each + 90 min Exercises): .Examples and applications. The P53-Mdm2 feedback loop. A self-repressed gene that eliminates a toxin.