The course will introduce state-of-the-art metabolic modelling covering the full process from model reconstruction to phenotype predictions using those models. The course will focus on user-friendly tools for metabolic model reconstruction and simulation and experimental procedures to improve those models.
The course will have a five-day duration, each day divided between morning sessions with theory and afternoon sessions with practical work. The morning lectures will be guided by an expert in the field that will present background information, key concepts, computational tools, and experimental methods. The morning lecture modules will be followed by a meet the speaker time during the coffee break or lunch. Afternoon sessions will be dedicated to extensive practical work in wet and/or dry lab.
The course faculty have expertise in metabolic model reconstruction, constrained based modelling, metabolomics and experimental procedures to improve metabolic models prediction capabilities.
The modelling component will cover reconstruction and simulation of constraint-based steady-state models. Experimental techniques will include experimental procedures for biomass composition determination and metabolomics as well as the integration of these data in metabolic models.
The course is prepared to offer participants the opportunity to have a hands-on experience of all steps to construct a genome-scale metabolic model – from genome to a complete model and also validate the model with experimental data. The combination of computational methods with wet-lab experiments will offer the participants an all-around experience to the main tools and methods used to go from hypothesis to the lab bench and back.
Genome annotation and of metabolic models reconstruction with merlin.
KBase: A collaborative, open environment for systems biology of plants, microbes and their communities.
Optflux: an open-source software platform for in silico metabolic engineering.
Experimental determination of biomass composition and its inclusion in genome-scale metabolic models.
Experimental metabolomics analysis using GC-MS.
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Participants are expected to book and pay their own accommodation and travel expenses.
IMPORTANT: Your application can only be accepted after we have received payment of the registration fee in our bank account. Please note that we can ONLY accept bank transfer payments. Credit Card payment is not possible.
Payment by Bank Transfer: details will be sent in your ‘application confirmation email’. Bank charges are the responsibility of the participant and should be paid at source. Payment must be placed right after the registration process within 10 days. To have your bank transfer payments processed correctly, please include in the description/reason of your transfer your Full Name.
Registration form here.
The nearest airport is the Sá Carneiro Airport, located in Porto, about 50 km away.
From the airport, take the E metro line (violet): Aeroporto – Estádio do Dragão, to reach the Campanhã train station. Several trains to Braga depart from this station.
Alternatively, getBUS provides a direct bus service between the airport and the Braga coach station.
Phone: +351 213 581 460
Phone: +351 253 264 693
Phone: +351 259 340 710
Information on the available rail lines to get to Braga and train schedules may be found at www.cp.pt.
The train station in Braga is a
If you choose to travel by plane, bus or train, your destination will either be the city's coach station or the train station. To reach the Gualtar campus, you can opt to travel by bus, using the services provided by Transportes Urbanos de Braga (TUB). These buses run about every 15 minutes.
Timetables and more information: www.tub.pt/
Phone: +351 253 606 890
Hotel Lamaçães ***
Located near the University of Minho, the Iberian Nanotechnology Centre, and a
Phone: +351 253 603 680