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Book synopsis

The book discusses how Machine Learning and Big Data is and can be used in biotechnology for a wide breath of topics. It is separated
into three main parts, with the first covering DNA and ranging from ?synthetic biology part design (such as promoters)? to ?predictions from genome sequences?. The second part concerns proteins, with topics ranging from ?structure and design tools? to ?pathway discovery / retrobiosynthesis?, while the last part covers whole cells and ranges from ?Machine Learning approaches for gene expression? to ?Machine Learning predictions of phenotype and bioreactor performance?

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Chemie Chemie - Allgemeines

• Full title: Machine Learning and Big Data-enabled Biotechnology
• Author: Hal S. Alper
• Language: English
• Binding: Hardback
• Number of pages: 432
• EAN: 9783527354740
• ISBN: 3527354743
• ID: 49249671
• Publisher: Wiley-VCH GmbH
• Weight: 961 g
• Dimensions: 244 × 170 mm
• Date of publishing: 04. February 2026

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