Abstract
Plants have developed complex regulatory programs to respond to various environmental stress such as heat, drought, and cold. Systematic understanding of these biological processes depends on robust construction of regulatory networks which encodes interactions between transcription factors and target genes. In this chapter, we present a computational tool ConSReg, which predicts regulatory interactions using ATAC-seq, DAP-seq, and expression data. By using expression data generated under a specific environmental stress, ConSReg can reconstruct an interpretable, weighted, and stress response-specific regulatory network.
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References
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Acknowledgments
We thank Jeffress Trust Awards Program in Interdisciplinary Research, US Department of Energy Funding [DE-SC0020358], and Hatch Programs from US Department of Agriculture for providing funding support for the development of ConSReg package.
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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). Modeling Plant Transcription Factor Networks Using ConSReg. 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_15
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DOI: https://doi.org/10.1007/978-1-0716-2815-7_15
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Publisher Name: Humana, New York, NY
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