Isbn: 9798171301682 - gold biotechnology: bioinformatics, computational biology, and data-driven innovations in modern science (biotechnology spectrum series: the new era of innovation, band 8) (6 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware - Gold Biotechnology: Bioinformatics, Computational Biology, and Data-Driven Innovations in Modern Science is a comprehensive and forward-looking guide to the rapidly evolving intersection of biology, data science, and artificial intelligence. This book presents a structured and in-depth exploration of modern biotechnology, moving from foundational biological concepts to advanced computational methods that are reshaping life sciences. Designed for students, researchers, academicians, and professionals, this book bridges the gap between traditional biological sciences and contemporary digital innovations. It covers essential domains such as bioinformatics, systems biology, multi-omics integration, machine learning in biotechnology, synthetic biology, and AI-driven life sciences. Inside this book, you will find: - A structured introduction to modern biotechnology and its evolution into data-driven science- Clear explanations of DNA, RNA, and protein analysis, including molecular structure and function- In-depth coverage of bioinformatics tools, biological databases, and computational workflows- Step-by-step understanding of sequence alignment, genome analysis, and next-generation sequencing (NGS)- Detailed insights into genomics, proteomics, transcriptomics, and metabolomics- A strong foundation in data science applications in biotechnology, including statistical analysis and visualization- Practical introduction to programming in Python and R for biological data analysis- Comprehensive overview of machine learning and artificial intelligence in biotechnology- Applications of AI in drug discovery, genomics, and predictive disease modeling- Explanation of systems biology and biological network modeling- Coverage of multi-omics integration and precision medicine approaches- Real-world applications in medical biotechnology, agriculture, environment, and industrial biotechnology- Insights into synthetic biology and the engineering of biological systems- Discussion of ethical, legal, and social issues, including genetic data privacy and bioethics- Overview of regulatory frameworks and responsible research practices- A forward-looking perspective on the future of biotechnology, AI-driven life sciences, and personalized medicineWhether you are beginning your journey in biotechnology or advancing your expertise in computational biology, this book serves as a valuable academic and professional resource for understanding the future of life sciences.…

Paperback. Zustand: new. Paperback. Gold Biotechnology: Bioinformatics, Computational Biology, and Data-Driven Innovations in Modern Science is a comprehensive and forward-looking guide to the rapidly evolving intersection of biology, data science, and artificial intelligence. This book presents a structured and in-depth exploration of modern biotechnology, moving from foundational biological concepts to advanced computational methods that are reshaping life sciences. Designed for students, researchers, academicians, and professionals, this book bridges the gap between traditional biological sciences and contemporary digital innovations. It covers essential domains such as bioinformatics, systems biology, multi-omics integration, machine learning in biotechnology, synthetic biology, and AI-driven life sciences. Inside this book, you will find: A structured introduction to modern biotechnology and its evolution into data-driven scienceClear explanations of DNA, RNA, and protein analysis, including molecular structure and functionIn-depth coverage of bioinformatics tools, biological databases, and computational workflowsStep-by-step understanding of sequence alignment, genome analysis, and next-generation sequencing (NGS)Detailed insights into genomics, proteomics, transcriptomics, and metabolomicsA strong foundation in data science applications in biotechnology, including statistical analysis and visualizationPractical introduction to programming in Python and R for biological data analysisComprehensive overview of machine learning and artificial intelligence in biotechnologyApplications of AI in drug discovery, genomics, and predictive disease modelingExplanation of systems biology and biological network modelingCoverage of multi-omics integration and precision medicine approachesReal-world applications in medical biotechnology, agriculture, environment, and industrial biotechnologyInsights into synthetic biology and the engineering of biological systemsDiscussion of ethical, legal, and social issues, including genetic data privacy and bioethicsOverview of regulatory frameworks and responsible research practicesA forward-looking perspective on the future of biotechnology, AI-driven life sciences, and personalized medicineWhether you are beginning your journey in biotechnology or advancing your expertise in computational biology, this book serves as a valuable academic and professional resource for understanding the future of life sciences. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Zustand: New. Print on Demand.

Paperback. Zustand: new. Paperback. Gold Biotechnology: Bioinformatics, Computational Biology, and Data-Driven Innovations in Modern Science is a comprehensive and forward-looking guide to the rapidly evolving intersection of biology, data science, and artificial intelligence. This book presents a structured and in-depth exploration of modern biotechnology, moving from foundational biological concepts to advanced computational methods that are reshaping life sciences. Designed for students, researchers, academicians, and professionals, this book bridges the gap between traditional biological sciences and contemporary digital innovations. It covers essential domains such as bioinformatics, systems biology, multi-omics integration, machine learning in biotechnology, synthetic biology, and AI-driven life sciences. Inside this book, you will find: A structured introduction to modern biotechnology and its evolution into data-driven scienceClear explanations of DNA, RNA, and protein analysis, including molecular structure and functionIn-depth coverage of bioinformatics tools, biological databases, and computational workflowsStep-by-step understanding of sequence alignment, genome analysis, and next-generation sequencing (NGS)Detailed insights into genomics, proteomics, transcriptomics, and metabolomicsA strong foundation in data science applications in biotechnology, including statistical analysis and visualizationPractical introduction to programming in Python and R for biological data analysisComprehensive overview of machine learning and artificial intelligence in biotechnologyApplications of AI in drug discovery, genomics, and predictive disease modelingExplanation of systems biology and biological network modelingCoverage of multi-omics integration and precision medicine approachesReal-world applications in medical biotechnology, agriculture, environment, and industrial biotechnologyInsights into synthetic biology and the engineering of biological systemsDiscussion of ethical, legal, and social issues, including genetic data privacy and bioethicsOverview of regulatory frameworks and responsible research practicesA forward-looking perspective on the future of biotechnology, AI-driven life sciences, and personalized medicineWhether you are beginning your journey in biotechnology or advancing your expertise in computational biology, this book serves as a valuable academic and professional resource for understanding the future of life sciences. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…