Course code: BIO-8011

Modelling in Systems Biology I -Metabolic pathway modelling

Apply between July 20 and August 9
Campus
Semester / Year Autumn 2013
Credits 5

About the course

Single course PhD , master students can participate if sufficient places are available. Maximum participants: 10 (minimum 4)

Modeling is an important tool in current biology. It is widely used to help experimental design, in drug target prediction and in the prediction of disease related changes. We will focus on the modeling of metabolic pathways in this course especially on the reconstruction of kinetic models and simulation techniques. We will discuss limitation of modeling approaches due to limited parameter availability and perform parameter estimation based on available experimental data. In the practical part students will be introduced to different programs available for stoichiometric and kinetic modeling. The integration of gene expression data into the modeling approach will be an essential part of the course. Furthermore, several related databases such as BioCyc, KEGG, BRENDA and Biomodels will be introduced during the course.

Admission requirements

Use this application form to register on the course and send it to Ingjerd Gauslaa Nilsen at BFE Faculty, University of Tromsø:
Admission PhD Courses

Objectives of the course

Basic knowledge on metabolic pathway analysis, biomathematical modelling, sensitivity analysis and parameter estimation. Knowledge of tools available for kinetic modeling and knowledge about related databases. Students will be able to reconstruct small metabolic network models and simple kinetic models and perform time courses simulations as well as parameter estimation from biological data. Students will furthermore be able to perform stoichiometric analysis and simple flux balance analysis with tools available in the internet. The goal is that the students have a general understanding of modeling and its applications to different biological topics. They will furthermore be familiar with available databases and web based tools.

Teaching methods

Intensive course 1 week, 40 hours combined lectures and computer practicals

Language of instruction and examination

English

Recommended reading/syllabus

Available on request.

Application deadline

15. August

Assessment

Written project work. Pass/Fail.

Error rendering component

Previous years and semesters

Kontakt oss

Responsible unit: Institutt for arktisk og marin biologi
Author image
Kontorsjef
siv.andreassen@uit.no
heiland-2014-3.jpg
Professor
ines.heiland@uit.no