Design, optimization and control in systems and synthetic biology

Abstract : How good is our understanding of the way cells treat information and make decisions? To what extend our current understanding enables us to reprogram and control the way cells behave? In this manuscript I describe several approaches developed for the computational analysis of the dynamics of biological networks. In particular I present work done on (i) the analysis of large gene networks with partial information on parameter values, (ii) the use of specification languages to express observations or desired properties in an abstract manner and efficiently search for parameters satisfying these properties, and (iii) recent efforts to use models to drive gene expression in real-time at the cellular level.
Document type :
Habilitation à diriger des recherches
Complete list of metadatas

https://tel.archives-ouvertes.fr/tel-00958566
Contributor : Gregory Batt <>
Submitted on : Wednesday, March 12, 2014 - 5:56:15 PM
Last modification on : Friday, May 25, 2018 - 12:02:07 PM
Long-term archiving on : Sunday, April 9, 2017 - 11:30:16 PM

Identifiers

  • HAL Id : tel-00958566, version 1

Collections

Citation

Gregory Batt. Design, optimization and control in systems and synthetic biology. Quantitative Methods [q-bio.QM]. Université Paris-Diderot - Paris VII, 2014. ⟨tel-00958566⟩

Share

Metrics

Record views

656

Files downloads

1347