Course - System Biology and Biological Networks - TBT4165
TBT4165 - System Biology and Biological Networks
This class will give an introduction to systems biology methods in modeling and analysis of cellular networks, with strong relevance to synthetic biology and the iGEM competition. This course has a special emphasis on (1) biological interaction networks, and (2) genome-level cellular metabolism. Students will learn through lectures and hand-in projects, and gain hands-on experience using current software in a PC-based lab setting. An interdisciplinary presentation of the topics will be emphasized, making the class accessible to students with a background in computer science, biology, chemistry, and physics.
At the completion of this course, the students are expected to be able to:
- Explain basic concepts, models, and statistical measures to characterize the properties of general networks, as well as using the software tool Cytoscape to analyze empirical networks.
- Explain basic concepts, principles and methods of metabolic engineering.
- Explain the organization and construction process of genome-scale metabolic networks, explain the principles behind constraint-based analysis (especially Flux Balance Analysis), as well as being proficient in the use programming tools using COBRA functions for the numerical analysis of empirical models.
Learning methods and activities
Lectures and hand-in projects (PC-lab). Lectures will be given in English.
- Computer lab
Further on evaluation
If there is a re-sit examination, the examination form may be changed from written to oral.
Compulsory activities from previous semester may be approved by the department.
Recommended previous knowledge
Basic knowledge in molecular biology similar to TBT4145/TBT4146 Molecular Genetics, statistics similar to ST0103 Statistics with Applications.
Required previous knowledge
Basic programming in python, equivalent to TDT4110: Introduction to Information Technology.
B.O.Palsson "Systems Biology: Constraint-based Reconstruction and Analysis" 2nd edition (2015). A.-L. Barabási "Network Science" (2016). Compendium.
Credits: 7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2023
Language of instruction: English
- Technological subjects
- * 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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"