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This fully updated edition explores recent techniques involving computational approaches to the study of synthetic biology. Covering genetic circuit design, analysis, and optimization like the previous editions, this book focuses on protein language models, machine learning and deep learning approaches, larger-scale systems, such as metabolic networks, RNA structure prediction, as well as emerging AI-based methods. Written for the Methods in Molecular Biology series, chapters include the kind of detailed instruction and expert implementation advice that encourages success in the pursuit of further experimentation.

Authoritative and up-to-date, Computational Methods in Synthetic Biology, Third Edition serves as an ideal guide for researchers searching for improved solutions to long-standing design and modeling challenges and support for the analysis and engineering of increasingly complex biological systems.