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 metabolic model reconstruction,
phenotype simulation and strain optimization,
including both unicellular microbes and more complex organisms as plants and humans.
Applications include metabolic engineering, plant sciences and health.
The course will focus on the use of user-friendly available software tools and, thus, no programming skills are required for the first sessions. An optional module will also focus on more advanced tools where basic knowledge of Python would be required.
The course will have a eight-day duration, each day divided between morning sessions with theory and afternoon sessions with practical work, closed by an application-oriented talk. The morning lectures will be guided by an expert in the field that will present background information, key concepts, computational tools, and experimental methods. Afternoon sessions will be dedicated to extensive practical in silico work. The day will close with a talk reflecting the different applications of metabolic modeling, both academic and industrial.
The course faculty have expertise in metabolic model reconstruction, constrained based modelling, strain optimization, and omics data integration.
The course is prepared to offer participants the opportunity to
have a hands-on experience of all computational steps to reconstruct
a genome-scale metabolic model – from genome to complete and validated metabolic model.
Participants will also have a hands-on experience of the main methodologies for flux analysis, phenotype
simulation and in silico strain optimization.
In addition, this course will also offer advanced topics for combining omics data into metabolic models.
The course will offer the participants an all-around experience to the main computational tools and methods used in metabolic modeling.
Genome annotation and reconstruction of metabolic models using merlin.
Please, consult merlin for more details.
Flux analysis, phenotype simulation and strain optimization using OptFlux. Please, consult OptFlux for more details.
Analysis and integration of omics data and into genome-scale metabolic models.
KBase: A collaborative, open environment for systems biology of plants, microbes and their communities.
| Early Registration | Registration | |
|---|---|---|
| Student | 200€ | 250€ |
| Academia | 250€ | 300€ |
| Industry | 300€ | 350€ |
| Early Registration: May 31st |
|---|
| Registration: June 26th |
Participants that do not want to attend
Module 3 will receive a 25% discount upon the registration.
Your application can only be accepted after
we have received the payment of the registration fee in our bank account.
Please note that we can only accept bank transfer payments.
Payment by Credit Card is not possible.
The details for the payment by bank transfer 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 the full name of the person who is attending the course in the
description/reason of the bank transfer. The proof of the bank transfer payment should be sent to
s2m2.course@gmail.com.
