course-details-portlet

BT8118 - Metabolic Pathway Analysis

About

Lessons are not given in the academic year 2020/2021

Course content

This course will provide a 1-week intensive introduction to the computational analysis and reconstruction of both small and genome-scale metabolic networks. The goal is to make students familiar with state-of-the-art computational tools and databases, as well as providing the students with hands-on experience. Furthermore, we will cover the mathematical basis of constraint-based analysis of genome-scale metabolic models and provide a foundation for stability and control analysis of dynamic models.

The first part of the course (2.5 days) will focus on the organization of metabolic networks; their reconstruction and the mathematical basis of optimization approaches used in constraint-based modeling. We will use the COBRA toolbox in Matlab and/or COBRApy for python. We will also discuss available methods for data integration.

The second part of the course (2.5 days) will focus on the reconstruction and analysis of small, mechanistic models of metabolic pathways that allow the simulation of dynamic properties of the system. In this context, we will provide an introduction to stability and control analysis.

Learning outcome

– Explain the organization and structure of metabolic models

– Knowledge about relevant databases

– Capable of reconstructing metabolic models

– Explain the underlying principles of constraint based modeling approaches

– Explain stability and control analysis

– Proficiency in use of COBRA toolbox for genome-scale metabolic modeling

– Explain limits of small and genome-scale metabolic analysis

– Knowledge about tools for data integration

Learning methods and activities

Lectures, presentation and computer exercises. The course will be given in English and will take place during 1 week of the semester.

Compulsory assignments

  • Exercises

Further on evaluation

Project report (10 pages) that will be evaluated and needs to be approved. Grades: pass/fail

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Course materials

Course materiel will be announced to registered participants before the start of the course.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

No

Language of instruction: English, Norwegian

Location: Trondheim

Subject area(s)
  • Biotechnology
  • Technological subjects
Contact information

Department with academic responsibility
Department of Biotechnology and Food Science

Phone:

Examination

  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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