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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-06

AUTHORS

Gabriel Krouk, Jesse Lingeman, Amy Marshall Colon, Gloria Coruzzi, Dennis Shasha

ABSTRACT

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.

PAGES

123

References to SciGraph publications

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  • 2011. Genome-Wide Identification of Transcription Factor-Binding Sites in Plants Using Chromatin Immunoprecipitation Followed by Microarray (ChIP-chip) or Sequencing (ChIP-seq) in PLANT SIGNALLING NETWORKS
  • 2012-08. Wisdom of crowds for robust gene network inference in NATURE METHODS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/gb-2013-14-6-123

    DOI

    http://dx.doi.org/10.1186/gb-2013-14-6-123

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1028260089

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23805876


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