An intensive hands-on training program oriented towards discovering and understanding new organization principles in organism and molecular Biology.
Systems biology is beginning to unveil organization principles that apply across organisms, cell types and modules, raising the hope that Biology too will become a predictive science. Such principles emerge from the interplay between three factors. Namely, the physical-chemical limits that constrain what organisms can accomplish given the available resources; the performance requirements that organisms must fulfill in their environment in order to effectively spread their genes onto the next generation; and the evolutionary dynamics that determine if and how feasible designs become prevalent in populations. This summer school will provide training on the theoretical foundations and computational tools that are required to achieve a deeper appreciation of that interplay.
Focus of 2013 edition: Connecting function to design in biomolecular networks – from mesoscopic systems to metabolisms. Topics covered:
– Constraints-based modeling of biomolecular networks
– Deterministic modeling, stability, sensitivity and tolerance analysis
– Mesoscopic systems and stochastic modeling
– Design principles of biomolecular networks: methods and examples
• Graduate students and postdocs seeking to become familiar with the computational modeling and analysis of biomolecular networks and with methods for relating design to function.
• Researchers at any level who are interested in principles of biological organization and seek to acquire these skills.
We welcome both applicants with exact sciences or engineering backgrounds and applicants with a biology background. However, a good quantitative background is desirable in all cases.
Course structure The course is composed of lectures and computational research projects. Project themes will be presented on day 1. The first part of the course will emphasize lectures covering the main topics. During that time students will also choose their research projects and teams, and devise a research plan. Teams will include students with complementary backgrounds and will be coached by tutors. The second part of the course will be devoted to executing the research projects. Results will be presented in the last two days at a mini-symposium