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Course Catalog 2012-2013
SGN-6236 Modeling Techniques for Stochastic Gene Regulatory Networks, 3 cr
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Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Lecture times and places |
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Description:
In this course, the student will learn how to perform exact stochastic simulations of chemical reaction systems. This method can be used to model systems ranging from simple bimolecular reaction systems to models of gene expression. Next, the student will learn how to implement delayed stochastic simulations of models of gene expression and gene regulatory networks. Students will become familiar with detailed models and experimental measurements of single gene expression and many underlying regulatory mechanisms of gene expression. Finally, the student will be introduced to the latest modeling strategies of cell differentiation, and transcriptional and translational elongation at the nucleotide and codon levels.
Person responsible:
Andre Sanches Ribeiro
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course