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This article is part of a special issue on plant genomics.

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

Gabriel Krouk3, Jesse Lingeman1, Amy Marshall Colon2, Gloria Coruzzi2 and Dennis Shasha1*

Author Affiliations

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 Mol├ęculaire des Plantes (UMR 5004 CNRS-INRA-SupAgro-UM2), Institut Claude Grignon, Place Viala, 34060 Montpellier Cedex 1, France

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Genome Biology 2013, 14:123  doi:10.1186/gb-2013-14-6-123

Published: 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.

Gene regulatory networks; network interference; plant; systems biology