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27641 Systems Biology

Danish title:



Point( ECTS )


Course type:

Taught under single-course student
Generel competence course, MSc. Eng., Bioinformatics Systems Biology
Technological specialization course, MSc. Eng., Biotechnology
Technological specialization course, MSc. Eng., Pharmaceutical Design and Engineering


E3A (Tues 8-12)


Campus Lyngby

Scope and form:

Lectures and exercises.
Each session will begin with a summary of the previous week's lectures presented by students.

Duration of Course:

13 weeks

Date of examination:


Type of assessment:

Exam duration:



Previous Course:


Not applicable together with:

Recommended prerequisites:


General course objectives:

To understand the interplay between many different biological processes and how to perform quantitative and qualitative modelling of such systems.

Learning objectives:

A student who has met the objectives of the course will be able to:
  • Describe the different approaches to systems biology.
  • Describe different high-throughput experimental techniques used in systems biology.
  • Construct a biological network model from interaction data.
  • Calculate biological network properties using graph theory.
  • Understand the function and behavior of frequent regulatory network motifs.
  • Use of systematic genome-wide data together with biological networks to evaluate cellular response or other phenomena.
  • Design regulatory networks with a defined input/output function.
  • Estimate the significance of network models and ontologies based on high-throughput experimental data.
  • Model fitness based on cost benefit analysis.
  • Understand the evolution of regulatory mechanisms in context of the Demand Theory of Regulation.
  • Determine the properties of dynamic models.


Introduction to systems biology, methods and techniques, high throughput techniques including gene expression and protein-protein interaction screens. Interactions and networks, graph theory, biological network analysis. Principles of mathematical modelling, first principle models versus data-driven models. Constructing qualitative models by data integration. Regulatory pathway reconstruction. Quantitative modeling and simulation, analysis of dynamical models of gene regulation. Network motif discovery and analysis. Functional behavior of common regulatory network motifs. Fitness analysis as a function of the benefit and cost of protein production. Evolutionary forces that drive regulatory mechanisms based on the Savageau demand rules and their related theories.


BSc enrollment based on request to coordinators.
Course 27040 is a mandatory requisite for interested BSc students

Green challenge participation:

Please contact the teacher for information on whether this course gives the student the opportunity to prepare a project that may participate in DTU´s Study Conference on sustainability, climate technology, and the environment (GRØN DYST). More infor http://www.groendyst.dtu.dk/english


Christopher Workman , Ph. , cwor@dtu.dk


27 Department of Systems Biology

Registration Sign up:

At CampusNet
Last updated: 15. juli, 2015