{"product_id":"9783527354740","title":"Machine Learning and Big Data-enabled Biotechnology (Advanced Biotechnology) (1. Auflage)","description":"\u003cp\u003eThe book discusses how Machine Learning and Big Data is and can be used in biotechnology for a wide breath of topics. It is separated \n\u003cbr\u003einto 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? Part I - From DNA?\n\u003cbr\u003e1 Deep learning approaches for synthetic biology part design\n\u003cbr\u003e2 Automated approaches for GSM development from DNA sequence\n\u003cbr\u003e3 Predictive models from genome sequences\n\u003cbr\u003ePart II - ?.to Proteins?\n\u003cbr\u003e4 De novo protein structure and design tools\n\u003cbr\u003e5 Machine learning approaches for protein engineering\n\u003cbr\u003e6 Pathway discovery \/ Retrobiosynthesis\n\u003cbr\u003e7 Enzyme functional classifications\n\u003cbr\u003e8 Proteomics machine learning approaches and de novo identification\n\u003cbr\u003ePart III - ?to whole cells and beyond\n\u003cbr\u003e9 Machine learning approaches for gene expression\n\u003cbr\u003e10 Metabolomics big data approaches\n\u003cbr\u003e11 Use of Generative AI and natural language processing for cell models\n\u003cbr\u003e12 Metabolic production, strain engineering, and flux design\n\u003cbr\u003e13 Automated function and learning in biofoundries\/strain designs\n\u003cbr\u003e14 Machine learning predictions of phenotype and bioreactor performance Dr. Hal Alper is the Kenneth A. Kobe Professor in Chemical Engineering and Executive Director of the Center for Biomedical Research Support at The University of Texas at Austin. He earned his Ph.D. in Chemical Engineering from the Massachusetts Institute of Technology in 2006 and was a postdoctoral research associate at the Whitehead Institute for Biomedical Research from 2006-2008, and at Shire Human Genetic Therapies from 2007-2008. Dr. Alper also serves on the Graduate Studies Committee for the Cell and Molecular Biology Department and the Biochemistry Department. He is currently the Principal Investigator of the Laboratory for Cellular and Metabolic Engineering at The University of Texas at Austin where his lab focuses on metabolic and cellular engineering in the context of biofuel, biochemical, and biopharmaceutical production in an array of model host organisms. His research focuses on applying and extending the approaches of synthetic biology, systems\n\u003cbr\u003ebiology, and protein engineering.\u003c\/p\u003e","brand":"Wiley-VCH","offers":[{"title":"Default Title","offer_id":48993861730539,"sku":"00000_00000_00000_00000","price":338.77,"currency_code":"SGD","in_stock":true}],"url":"https:\/\/kinokuniya.com.sg\/products\/9783527354740","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}