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. 2017 Sep 20;8:1640. doi: 10.3389/fpls.2017.01640

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Copyright © 2017 Krishnan, Gupta, Ambavaram and Pereira.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Workflow for mining and characterization of drought transcriptional modules. (1a) Reconstruction and clustering of the rice environmental coexpression network from publicly available gene expression datasets. (1b) Identification of drought-responsive genes in the three developmental stages. (2) Determination of ‘drought’ clusters based on the combination of results from the steps 1a and 1b, and extraction of whole cluster and specific drought gene sets (3) Functional enrichment analysis and cis-regulatory motif discovery. (4) Presentation of these data to the user where (s)he explores the results to identify candidate genes for functional validation. (5) Availability of mutants in genes of interest that can be used to study gene function.