Joint EMBL-EBI-Wellcome Trust Course: In Silico Systems Biology

Systems biology is now an established and fundamental field in life sciences. It has facilitated the move from the identification of molecular ‘parts lists’ for living organisms towards integrating information from different ‘omics’-based approaches with our knowledge on the underlying biochemical mechanisms, to generate and test new hypotheses about how biological systems work. This joint EMBL-EBI-Wellcome Trust course will combine lectures on modelling approaches, led discussions to identify the key challenges, opportunities and bottlenecks, and practical sessions on network analysis and network-based modelling.

Please note: This course will not cover high-throughput ‘omics’ data analysis methods, e.g. statistical models, GWAS analysis, etc. We will touch on protein networks and data integration, but the focus is more on building predictive and mechanistic models. If you are interested in protein networks, please consider the Interaction and Pathways course instead.

The course is aimed at advanced PhD students, post-doctoral and more senior researchers who are using or planning to use systems-based approaches to understand biomedical problems.

Please note: Previous experience in computational and/or systems biology approaches is required to attend this course.
Topics

• Overview of the field of Systems Biology: past, present and future
• Analysis of Gene Regulatory Networks
• Qualitative Modelling: modelling and simulation of interesting networks and pathways, as well as analysis of dynamical systems
• Quantitative Modelling: Chemical kinetics, constraint-based modelling and stochastic simulations
• Network and Pathway Enrichment
• Model sharing: how to encode and annotate models
• Programmatic approaches (e.g. libSBML)

Participants will be encouraged to bring their own data for one-to-one sessions. However, specific size limits and formats will be specified in order to ensure data is usable in the available time. Participants will also be requested to provide a poster for the poster session.
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Topics

• Overview of the field of Systems Biology: past, present and future
• Analysis of Gene Regulatory Networks
• Qualitative Modelling: modelling and simulation of interesting networks and pathways, as well as analysis of dynamical systems
• Quantitative Modelling: Chemical kinetics, constraint-based modelling and stochastic simulations
• Network and Pathway Enrichment
• Model sharing: how to encode and annotate models
• Programmatic approaches (e.g. libSBML)

25 Jun - 29 Jun 2013
Cambridge
United Kingdom
meeting website