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Høst 2015
BIO-8011 Modelling in Systems Biology I -Metabolic pathway modelling - 5 stp
The course is administrated by
Institutt for arktisk og marin biologi
Type of course
Single course PhD, master students can participate if sufficient places are available.
Course contents
Modelling 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 modelling of metabolic pathways in this course, especially on the reconstruction of kinetic models and simulation techniques. We will discuss limitation of modelling 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 modelling. The integration of gene expression data into the modelling 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.
Application deadline
Registration deadline for PhD students at UiT - The Arctic University of Norway: September 1st.
Application deadline for external applicants: June 1st.
Application deadline for external applicants: June 1st.
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
Admission PhD Courses
Maximum participants: 10 (minimum 4)
Objective of the course
Basic knowledge on metabolic pathway analysis, biomathematical modelling, sensitivity analysis and parameter estimation. Knowledge of tools available for kinetic modelling and knowledge about related databases. Students will be able to reconstruct small metabolic network models and simple kinetic model,s 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 modelling and its applications to different biological topics. They will furthermore be familiar with available databases and web based tools.
Language of instruction
English
Teaching methods
Intensive course 1 week, 40 hours combined lectures and computer practicals
Assessment
Written project work. Pass/Fail.
Recommended reading/syllabus
Available on request.