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27040 Introduction to Systems Biology
|Introduktion til Systembiologi|
|Taught under open university|
|F5B or |
From 2014 the course will only be offered in the autumn
Scope and form:
Lectures and exercises
Duration of Course:
Date of examination:
Type of assessment:
General course objectives:
To give the students both theoretical and practical experience with why, when and how to apply a network biology analysis approach to a given molecular biology problem.
This course gives a hands-on introduction to the Network Biology part of Systems Biology. The MSc course 27041 covers the mathematical modeling part of Systems Biology.
|A student who has met the objectives of the course will be able to:|
- Apply a network biology analysis approach to a wide rage of molecular biology problems.
- Describe the main high-throughput experimental methods used for generating protein-protein interaction data.
- Critically assess the quality of high-throughput protein-protein interaction data.
- Apply basic graph-theory based measurements on biological networks.
- Describe basic computational methods for reconstructing and scoring biological networks based on high-throughput data.
- Describe and apply basic algorithms for identifying likely protein complexes from protein-protein interaction data (MCODE).
- Use the network visualization/analysis software CytoScape as a platform for integrative network based analysis.
- Infer likely biological function of “orphan” proteins by analysis of their interaction partners.
• Introduction to Systems Biology, the motivation for applying a Systems Biology / Network Biology point of view to molecular biology problems.
• Experimental data behind protein-protein interaction networks. Pros and cons of different technologies.
• Network analysis: topology based scoring of interactions, basic understanding of key network parameters, and algorithms for identification of sub-networks.
Yeast Systems Biology – case: Cell cycle
• Introduction to core components of cell cycle regulation.
• Visualizing cell cycle regulatory networks.
• Introduction to transcriptomics data – how to overlay expression data with networks.
• Combining temporal (time-series) expression data with molecular networks, to discover modes of regulation.
Biomedical research – case: human heart development and diseases
• Introduction to the disease case: genetic defects, heart embryonic development and adult heart disease.
• Combining protein-protein interaction data from multiple species to form an inferred human interactome.
• The concepts of virtual pulldowns and relevance scored networks (0th and 1st order filtering).
• Tissue specific data: Molecular networks related to specific anatomical regions of the heart.
• Using pathways and network information to alter and optimize metabolic processes.
• Mass spec as part of the Systems Biology toolbox.
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 information
|, 208, 016,
, 208, 19, (+45) 4525 2489,
|27 Department of Systems Biology|
Registration Sign up:
|Systems Biology, Network biology, protein-protein interaction, network based data integration, network biology in biomedical research, biological function of sub-networks, Virtual Pulldowns|
November 30, 2012||