27641 Systems Biology
Point( ECTS )
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)
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:
Type of assessment:
Not applicable together with:
General course objectives:
To understand the interplay between many different biological
processes and how to perform quantitative and qualitative modelling
of such systems.
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
- Calculate biological network properties using graph
- Understand the function and behavior of frequent regulatory
- 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
- 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
BSc enrollment based on request to coordinators.
Course 27040 is a mandatory requisite for interested BSc
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
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Last updated: 15. juli, 2015