The 2nd course on Multiscale integration in biological systems took place on November 3-9, 2016.
Course’s videos:
Simona Cocco: “Inference of networks from data: the Inverse Ising/Potts problem and application to neural and genomic data”
Felix Ritort: “The physics of small systems: From energy to information”
Udo Seifert: “Stochastic thermodynamics for biomolecular processes: from principles to the cost of precision”
Stephanie Palmer: “Information bottleneck approaches to quantifying prediction in the brain”
Herve Isambert: “Learning causal networks with latent variables from multivariate information in genomic data”
Massimo Vergassola: “Navigating turbulent environments”
Mustafa Khammash: “Stochastic dynamics: from single cells to cell populations”
Leïla Périé: “Deciphering the hematopoietic differentiation pathway at the single cell level”
Rosalind Allen: “Bacterial aggregation and biofilm formation”
Marileen Dogterom: “Building minimal spindles in microfluidic droplets”
James Marshall “Multiscale modelling of honeybee swarms and other biological systems”
Leonid Mirny: “Cancer as an evolutionary process: tug-of-war between driver and passenger mutations”
Marc Lefranc: “Nonlinear dynamics of gene regulatory networks”
Mathieu Coppey “A simple chemical mass balance can account for cell polarity”
Thierry Mora: “Inferring the critical dynamics of biological systems directly from empirical data”
Robert Austin: “An experimental post-modern view of Darwinian evolution”