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Multiscale Integration in Biological Systems Courses 2016

The 2nd course on Multiscale integration in biological systems took place on November 3-9, 2016.

Course’s videos:

Jean Francois Joanny: “Statistical physics of active matter”

 

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”