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 biology-related 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.

Chapter 1. Introduction to Synthetic Biology.- Chapter 2. iGEM: The Competition on Synthetic Biology.- Chapter 3. Synthetic Biology-related Multi-omics Data Integration and Data Mining Techniques.- Chapter 4. Synthetic Biology: Technical Issues.- Chapter 5. Synthetic Biology: Development Issues.- Chapter 6. Synthetic Biology: Safety Issues.- Chapter 7. Synthetic Biology: Data Resources, Web Services and Visualizations.- Chapter 8. Synthetic Biology: Case Studies.- Chapter 9. Concluding Remarks.