Synthetic Biology and iGEM: Techniques, Development and Safety Concerns An Omics Big-data Mining Perspective /

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 t...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ning, Kang (Editor), Zhan, Yi (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Subjects:
Online Access:https://doi.org/10.1007/978-981-99-2460-8
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Table of Contents:
  • 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.