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Gene Regulatory Networks is a book category focused on how genes, proteins, and regulatory elements interact to control gene expression and cell behavior. Titles in this genre span foundational concepts in transcriptional regulation and network motifs, experimental approaches (e.g., RNA-seq, ChIP-seq, single-cell profiling, CRISPR perturbations), and computational methods for network inference and modeling (Boolean and differential equation models, Bayesian and graph-based methods, machine learning). The category covers systems-level views of development, cell fate, signaling, and environmental responses, as well as disease applications such as cancer, neurological disorders, and precision medicine. It includes textbooks, research monographs, protocols, and applied case studies, bridging molecular biology, genomics, biophysics, and bioinformatics. Readers range from students seeking an introduction to researchers building, analyzing, or engineering regulatory circuits, including work in synthetic biology and network-based therapeutic discovery.

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