Présentation

Le programme de biologie quantitative de l’Institut Pasteur est destiné à faciliter la recherche et l’éducation à l’interface entre la biologie et les sciences plus quantitatives. L’un des principaux objectifs de la biologie quantitative est donc de comprendre les principes sous-jacents de comportements biologiques complexes en termes de modèles physiques et mathématiques. Cette approche englobe tous les domaines de la biologie.

 

Équipes

Qbio Symposia

(EN)

• October 17th 2017: “Kick off meeting” of the Qbio program (Guillaume Duménil, Sven van Teeffelen)
• June 9th 2017: “Forces in Biology” (Romain Levayer, Nicolas Dray, Sandrine Etienne-Manneville, Patrick England, Alexandre Dufour).
• May 25th 2018: “Physics of Biological Membranes” (Thomas Wollert (IP), Patricia Bassereau (Curie))
• Fall 2018: “Neural networks – from machines to brains” (David Di Gregorio, JB Masson, and Christoph Schmidt-Hieber (IP), Rémi Monasson (ENS))
• Winter 2018: “Quantitative cell biology of bacteria” (Guillaume Duménil, Sven van Teeffelen)

Biologie quantitative à l'Institut Pasteur

(EN)

Many Pasteur laboratories are integrating physical approaches in their studies ranging from structural biology, via cell biology, to infection, neurobiology  and development.
• Multiscale self-organization is studied at the level of protein machineries in bacteria,  cytoskeleton during the migration of eucaryotic cells and organizaton of tissues during development.
• Cellular and tissue mechanics are explored during bacterial aggregation,  grastrulation and heart development as well as during amoebae movement.
• Information processing and signaling are studied in the context of neurobiology, 3D genome architecture and transciption.

Objectifs

(EN)

The Quantitative Biology program aims to encourage these developments on campus. The major purpose of this program is:
• To foster interactions between scientists involved in Quantitative Biology at Institut Pasteur through seminars and mini-symposiums.
• To bring quantitatively trained scientists into biology
• To encourage biologists to integrate quantitative models into their research

Images & Médias

(EN)