test_moissonnage_selune
type: Agent

Design, optimization and control in systems and synthetic biology
type: Dataset
contact point: Organization
  fn: CCSD
keyword: infoeu-reposemanticsother
keyword: sdvbibslife-sciences-q-bioquantitative-methods-q-bioqm
keyword: infoinfo-bicomputer-science-csbioinformatics-q-bioqm
keyword: habilitation-a-diriger-des-recherches
keyword: systems-biology
keyword: computational-biology
landing page: https://theses.hal.science/tel-00958566
description: 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.
issued: 2026-05-06T01:39:12.357799
language: en
modified: 2026-05-06T01:39:12.357803

Design, optimization and control in systems and synthetic biology
type: Distribution
access URL: https://theses.hal.science/tel-00958566
format: HTML
issued: 2026-05-06T01:39:12.359561
modified: 2026-05-06T01:39:12.349860