Gene regulatory networks in plants: learning causality from time and perturbation.

Gabriel Krouk (1) , Jesse Lingeman (2) , Amy Marshall Colon (3) , Gloria Coruzzi (3) , Dennis Shasha (2)

1 BPMP - Biochimie et Physiologie Moléculaire des Plantes
2 CIMS - Courant Institute of Mathematical Sciences [New York]
3 Center for Genomics and Systems Biology

: The goal of systems biology is to generate models for predicting how a system will react under untested conditions or in response to genetic perturbations. This paper discusses experimental and analytical approaches to deriving causal relationships in gene regulatory networks.

Mots clés: Gene regulatory networks; network interference; plant; systems biology

Domaines: Biologie végétale

Gabriel Krouk, Jesse Lingeman, Amy Marshall Colon, Gloria Coruzzi, Dennis Shasha. Gene regulatory networks in plants: learning causality from time and perturbation.. Genome Biology, 2013, 14 (6), pp.123. ⟨10.1186/gb-2013-14-6-123⟩. ⟨hal-00920683⟩