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Synthetic biology and IGEM : an omics big-data mining perspective / Kang Ning, Yi Zhan, editors.

9789819924608 (electronic bk.)
981992460X (electronic bk.)
9819924596
9789819924592

Singapore : Springer, 2023.

English

1 online resource (119 p.)

10.1007/978-981-99-2460-8 doi

TA164

660.6

This book focuses on biological engineering techniques, multi-omics big-data integration, and data-mining techniques, as well as cutting-edge researches in principles and applications of several synthetic biology applications. Synthetic biology is a new research area, while it has been rooted from the long-established area including biological engineering, metabolite engineering, and systems biology. This book will discuss the following aspects: (1) introduction to synthetic biology and iGEM, especially focusing on the systematic design, rational engineering, and sustainability of design in the omics ages; (2) synthetic biologyrelated multi-omics data integration and data mining techniques; (3) the technical issues, development issues, and safety issues of synthetic biology; (4) data resources, web services, and visualizations for synthetic biology; and (5) advancement in concrete research on synthetic biology, with several case studies shown. Devised as a book on synthetic biology research and education in the omics age, this book has put focuses on systematic design, rational engineering, and sustainability of design for synthetic biology, which will explain in detail and with supportive examples the What, Why, and How of the topic. It is an attempt to bridge the gap between synthetic biologys research and education side, for best practice of synthetic biology and in-depth insights for the related questions.

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