His popular computational course, run jointly with EMBL-EBI, will provide participants with an overview of modelling approaches.
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.
Speakers: Nicolas Le Novère (EMBL-EBI, UK), Julio Saez-Rodriguez (RWTH-Aachen, Germany and EMBL-EBI, UK) Karin Sasaki (EMBL, Germany), Laura Emery (EMBL-EBI, UK), Nicolas Le Novère (Babraham Institute, UK), Julio Saez-Rodriguez (RWTH-Aachen, Germany and EMBL-EBI, UK), Kiran Patil (EMBL, Germany), Karin Sasaki (EMBL, Germany), Pablo Porras (EMBL-EBI, UK), Javier De Las Rivas (Bioinformatics and Functional Genomics Group, CSIC/USAL, Salamanca, Spain), Sven Sahle (BioQuant, University of Heidelberg, Germany), Jorg Stelling (ETH Zurich, Switzerland), Sarah Keating (EMBL-EBI, UK), Laurence Calzone (Institut Curie, France), Vijayalakshmi Chelliah (EMBL-EBI, UK), Emanuel Goncalves (EMBL-EBI, UK), Karen Lipkow (University of Cambridge, UK), Nicolas Rodriguez (Babraham Institute, UK), Bhupinder Virk (Babraham Institute, UK)
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VenueWellcome Genome Campus
Address, Hinxton, Cambridgeshire,
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Nearest Hotels
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The Red Lion Hinxton
In a tiny village south of Cambridge, this appealing 16th-century freehouse has an AA Rosette restaurant, an atmospheric bar, and new-build en suite rooms with free internet..
The Crown House Hotel
This former Georgian coaching inn located in the picturesque village of Great Chesterford, just off the M11 motorway. It offers an award-winning restaurant, a huge landscaped garden and free parking..
Duxford Lodge Hotel
Overlooking landscaped gardens, with awards for hospitality and cuisine, this 3-star hotel has luxury bedrooms and a quality restaurant. Close to Cambridge, Newmarket and the Science Parks..
Holiday Inn Express Cambridge
The brand new Holiday Inn Express Cambridge Duxford M11 Jct 10 offers comfortable rooms with power showers and Wi-Fi access. Cambridge centre is a 20-minute drive away, and the hotel offers free parking..
The Red Lion Hotel
The Red Lion Hotel dates back to the 13th century and features wooden beams hand-carved by Carmelite monks. The inn is situated in Whittlesford Bridge, just 2 miles from Duxford, and offers elegant rooms with Hypnos beds..
Whittlesford Bed and Breakfast
Close to Duxford Airfield and the historic city of Cambridge, this homely B&B offers free Wi-Fi and free parking on site. It is situated in Whittlesford, just 5 minutes drive from the M11 motorway..
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