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Synopsis
Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.
The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Gödel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.
Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach.
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About the Author
Mathematician and military systems engineer. For about ten years he worked on the acceptance and quality control of instrumentation for major space and satellite programs, completing his service in the central office of the Ministry of Defense. He applies probability theory and mathematical statistics to the analysis of complex systems and to the structure of the genetic code.
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Paperback. Condition: new. Paperback. Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Goedel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach. Applies probability theory and Bayesian inference to the analysis and recognition of the genetic code, with a worked method for predicting protein secondary structure from Boolean functions. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781494600303
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Mathematics and the Mysterious Genetic Code
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Gödel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach. 252 pp. Englisch. Seller Inventory # 9781494600303
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Mathematics and the Mysterious Genetic Code (Paperback)
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Paperback. Condition: new. Paperback. Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Goedel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach. Applies probability theory and Bayesian inference to the analysis and recognition of the genetic code, with a worked method for predicting protein secondary structure from Boolean functions. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781494600303
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Paperback. Condition: new. Paperback. Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Goedel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach. Applies probability theory and Bayesian inference to the analysis and recognition of the genetic code, with a worked method for predicting protein secondary structure from Boolean functions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781494600303
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Mathematics and the Mysterious Genetic Code
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ISBN 10: 1494600307
ISBN 13: 9781494600303
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Gödel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach. Seller Inventory # 9781494600303