This article is part of a special issue on plant genomics.
Gene regulatory networks in plants: learning causality from time and perturbation
1 Courant Institute of Mathematical Sciences, New York University, New York, NY 10003, USA
2 Center for Genomics and Systems Biology, Department of Biology, New York University, 12 Waverly Place, New York, NY 10003, USA
3 Biochimie et Physiologie Moléculaire des Plantes (UMR 5004 CNRS-INRA-SupAgro-UM2), Institut Claude Grignon, Place Viala, 34060 Montpellier Cedex 1, France
Genome Biology 2013, 14:123 doi:10.1186/gb-2013-14-6-123Published: 27 June 2013
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.