The course will combine lectures, practical sessions and group activities, and there will be opportunity for discussion of current trends in the field.
The course is aimed at PhD students and researchers with a minimum of one year experience in the field of systems biology modelling, and who are using systems-based modelling approaches to understand biological and biomedical problems.
The programme will include lecture and practical computational sessions covering the following topics:
Qualitative Modelling: modelling and simulation of networks using logic approaches and analysis of their dynamic properties
Quantitative Modelling: Chemical kinetics, constraint-based modelling and stochastic simulations, including spatial representations
Network Analysis and Pathway Enrichment
Model Sharing: how to encode and annotate models
After this course you should be able to:
Identify strengths and weaknesses in a variety of systems biology modelling approaches
Use a range of bioinformatics and modelling software to develop predictive and mechanistic models
Access, query and retrieve models from public repositories for systems biology
Use data standards in your work
Identify an appropriate modelling approach for a given biological question and dataset
Application Deadline: 11 March 2016
Advanced Courses are subsidised for non-commercial applicants from anywhere in the world. Additional, limited bursaries are available (up to 50% of the course fee) and are awarded on merit. If you would like to apply for a bursary, please complete the bursary section of the online application form.
The course is aimed at PhD students and researchers with a minimum of one year experience in the field of systems biology modelling, and who are using systems-based modelling approaches to understand biological and biomedical problems.
The programme will include lecture and practical computational sessions covering the following topics:
Qualitative Modelling: modelling and simulation of networks using logic approaches and analysis of their dynamic properties
Quantitative Modelling: Chemical kinetics, constraint-based modelling and stochastic simulations, including spatial representations
Network Analysis and Pathway Enrichment
Model Sharing: how to encode and annotate models
After this course you should be able to:
Identify strengths and weaknesses in a variety of systems biology modelling approaches
Use a range of bioinformatics and modelling software to develop predictive and mechanistic models
Access, query and retrieve models from public repositories for systems biology
Use data standards in your work
Identify an appropriate modelling approach for a given biological question and dataset
Application Deadline: 11 March 2016
Advanced Courses are subsidised for non-commercial applicants from anywhere in the world. Additional, limited bursaries are available (up to 50% of the course fee) and are awarded on merit. If you would like to apply for a bursary, please complete the bursary section of the online application form.
