Abstract
Regulatory network is often characterized by complex interactions between transcription factors (TFs) and target genes. The synergistic regulations among multiple TFs may co-induce/co-suppress the expressions of the similar target genes. Such information is important for understanding stress response signaling pathways in plants. In this chapter, we present a computational tool, CoReg, for mining co-regulatory gene modules from network topology. The analysis results can be used to interpret co-regulation effects in regulatory networks generated by high-through TF–DNA interaction screenings such as yeast-one-hybrid, ChIP-seq, and DAP-seq.
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Acknowledgments
We thank Virginia Agricultural Experiment Station (Blacksburg), USADA National Institute of Food and Agriculture, US Department of Agriculture (Washington, DC) for supporting the development of CoReg.
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© 2023 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
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Song, Q., Li, S. (2023). Identification of Plant Co-regulatory Modules Using CoReg. In: Song, Q., Tao, Z. (eds) Transcription Factor Regulatory Networks. Methods in Molecular Biology, vol 2594. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2815-7_16
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DOI: https://doi.org/10.1007/978-1-0716-2815-7_16
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