Se encuentra usted aquí

    • You are here:
    • Inicio > Events > COURSES@CRG: Whole-Cell Modeling

COURSES@CRG: Whole-Cell Modeling

COURSES@CRG: Whole-Cell ModelingCOURSES@CRG: Whole-Cell Modeling

Download the poster here

03/04/2016 to 08/04/2016
Add to Calendar

COURSES@CRG: Whole-Cell Modeling

CRG, Barcelona


Javier Carrera, Stanford University, USA
Jonathan Karr, Icahn School of Medicine at Mount Sinai, USA
Maria Lluch-Senar, Center for Genomic Regulation, Spain
Luis Serrano, Center for Genomic Regulation, Spain

Course description

Whole-cell models are promising tools for predicting phenotype from genotype by accounting for every individual gene and cell function. Whole-cell modeling has the potential to enable rational bioengineering and precision medicine. However, significant work remains to develop fully complete and accurate whole-cell models. The goal of the 2016 Whole-Cell Modeling Summer School is to provide young investigators cutting-edge training in large-scale dynamical modeling and model integration.

Why participate?
The course will be the first course focused on multi-algorithm whole-cell modeling. It will teach strategies for building and managing large models which aren't covered by any other course including multi-algorithm modeling, model organism database curation, surrogate modeling, and software development. The five-day course will feature didactic lectures, interactive hands-on tutorials, and student research talks. The mornings will feature lectures on modeling individual pathways. The afternoons will feature interactive hands-on tutorials on building and analyzing multi-algorithm models to generate and evaluate hypotheses. Throughout the course, students will work toward building a small whole-cell model. In addition, the course will include student talks to enable students to share their own research.

Who is the course for?
The course is designed for PhD students and postdoctoral scholars who wish to gain training in large-scale dynamical modeling. Students should already have a strong foundation in computational systems biology including dynamical modeling and scientific programming.

The course will focus on teaching students theory and techniques for large-scale dynamical modeling. Participation in the course requires prior knowledge of dynamical modeling and computer programming including:

  • Flux balance analysis
  • Ordinary differential equations
  • Stochastic modeling
  • Object-oriented programming in MATLAB or Python


Anne-Claude Gavin, European Molecular Biology Lab, Germany
Barbara Di Ventura, German Cancer Research Center/Heidelberg University, Germany
Bas Teusink, VU University Amsterdam, Netherlands
Edda Klipp, Humboldt University of Berlin, Germany
Ian Stansfield, University of Aberdeen, UK
James Faeder, University of Pittsburgh, USA
Jörg Stelling,  Swiss Federal Institute of Technology in Zürich, Switzerland
Julio Saez-Rodriguez, European Bioinformatics Institute, UK
Peter Karp, SRI International, USA
Timothy Gardner, Riffyn, USA


Verónica Llórens-Rico, Center for Genomic Regulation, Spain
Samuel Miravet-Verde, Center for Genomic Regulation, Spain
Marie Trussart, Center for Genomic Regulation, Spain
Marc Weber, Center for Genomic Regulation, Spain
Yin Hoon Chew, Icahn School of Medicine at Mount Sinai

Download the Outline Download the schedule

Number of participants: 22

Registration fee: 400 Euros for academic researchers, 1000 Euros for industry (includes participation in workshop, all the necessary tools to follow the course, didactic material, coffee breaks, and lunches).

Important dates

  • Application posted: 1st September 2015
  • Application due: 15th December 2015
  • Notification of application decision: 15th January 2015
  • Oral presentation submission: Winter 2016
  • Notification of oral presentation decision: Winter 2016
  • Summer school: April 3-8, 2016

Find more info at: