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SinCellMod 2020

-- March 4, 2020 -- Lyon, France -- "SINgle CELL data in network MODeling". One day meeting co-organized by the GT BIOSS, the UMS BioSciences and BioSyL to specifically address the opportunities and challenges in single-cell data for the dynamical modeling.

 

SinCellMod-2020: Single cell data in network modeling

 

Ecole Normale Supérieure Lyon

Lyon, France, March 4, 2020

 

«L'emploi des moyennes en physiologie et en médecine ne donne le plus souvent qu'une fausse précision aux résultats en détruisant le caractère biologique des phénomènes. » Claude Bernard

This quote from the father of modern physiology and medicine highlights the need for measuring biological phenomena at their relevant scale. The recent explosion in techniques allowing to interrogate the molecular content at the single cell level now allows to unleash the full power of the cell theory formulated in 1839. The resulting deluge in single-cell generated data is profoundly reshaping our vision of the living systems.

Beyond a more accurate characterization of the cell types, these data also allows anunprecedented access to the biophysical reality of the cell. As such, single-cell generated data can not (an should not) be handled by algorithms and modeling schemes designed for handling population-based data. They are both richer and quite different fromsingle-cell generated data. This one day meeting is co-organized by the GT BIOSS, the UMS BioSciences and BioSyL to specifically address the opportunities and challenges in single-cell data for the dynamical modeling.

https://easychair.org/cfp/SinCellMod2020

 

Keynote speakers

 

Registration

Participation at the event is free of charge, but registration is mandatory. Please fill in the form below before February 25th. You will receive confirmation of your registration by email.

https://lite.framacalc.org/9ed1-sincellmod2020

 

Organizers

  • Olivier Gandrillon, Laboratoire de Biologie et Modélisation de la Cellule, Ecole Normale Supérieure, Lyon
  • Loredana Martignetti, Clinical Bioinformatics team, Institute Imagine, Paris
  • Andrei Zinovyev, Computational Systems Biology of Cancer team, Institute Curie, Paris