Physical Models of Living Systems

Description: Physical Models of Living Systems. Condition: Almost new.I have never open it after purchasing. Free shipping Product IdentifiersPublisherFreeman & Company, W&HISBN-101464140294ISBN-139781464140297eBay Product ID (ePID)204267398Product Key FeaturesAuthorPhilip NelsonFormatTrade PaperbackLanguageEnglishPublication Year2014Number of Pages368 PagesDimensionsItem Length9.1in.Item Height0.5in.Item Width7.7in.Item Weight17.3 OzAdditional Product FeaturesLc Classification NumberQh324.8.N457 2015Reviews"There is growing interest in quantitative biology and biological physics, driven in part by the rising popularity of synthetic biology and systems biology. However, the development of educational materials has not kept pace with this emerging interest. Phil Nelson's marvelous new book nicely fills this gap and will serve as a fantastic resource for the field.... The writing style is clear and accessible, and the examples and homework problems have been carefully designed and presented to enable students to become proficient in key concepts and principles at the interface of physics and molecular biology.... Students and professors alike will love this book." -- James J. Collins, Biological Engineering, MIT "The strong thematic unity of the proposed book is a major strength. What students are most stunned and amazed by is how a handful of basic mathematical concepts (e.g., Poisson statistics, Bayes rules) can be used to understand myriad problems at many levels. Nelson's book communicates these key concepts in a very engaging way. Choice of topic, strong thematic unity, and lucidness are its major strengths." -- Aravinthan Samuel, Harvard University ". . . . I love the combination of real data along with the simplified mathematical modeling. This is exactly the kind of thoughtful back-and-forth between the real world and the modeling world that I try to inculcate in my own students." -- Ned Wingreen, Princeton University "This text is beautifully written. It succeeds by presenting a clear and coherent point of view: It is essential to develop quantitative, testable models of biological phenomena and these models are based on the basic physical foundations of nature which are essential for understanding living systems and for developing the modern tools used to investigate their structure and dynamics." -- Alex Levine, University of California, Los Angeles "Excellent conversational tone that Nelson has perfected over time . . . . Excellent mixtures of physical and biological examples, with enough technical content that students can appreciate and understand the biology, but without the jargon and details that often prevent abstract concepts from being easily understood - Illustrations and problems for students are great." -- Megan Valentine, University of California, Santa Barbara "This is just the book that one needs to explain to students that mathematical modeling is useful in biology and that just a few mathematical concepts are behind the explosive growth of the biological understanding of the recent years. The interplay between models and experimental data throughout the book is great, and the emphasis on computational solutions with Matlab, with progressing difficulty, allow one to take a complete computer novice into the class." -- Ilya Nemenman, Physics, Emory University, "There is growing interest in quantitative biology and biological physics, driven in part by the rising popularity of synthetic biology and systems biology. However, the development of educational materials has not kept pace with this emerging interest. Phil Nelson's marvelous new book nicely fills this gap and will serve as a fantastic resource for the field.... The writing style is clear and accessible, and the examples and homework problems have been carefully designed and presented to enable students to become proficient in key concepts and principles at the interface of physics and molecular biology.... Students and professors alike will love this book." - James J. Collins, Biological Engineering, MIT "The strong thematic unity of the proposed book is a major strength. What students are most stunned and amazed by is how a handful of basic mathematical concepts (e.g., Poisson statistics, Bayes rules) can be used to understand myriad problems at many levels. Nelson's book communicates these key concepts in a very engaging way. Choice of topic, strong thematic unity, and lucidness are its major strengths." - Aravinthan Samuel, Harvard University ". . . . I love the combination of real data along with the simplified mathematical modeling. This is exactly the kind of thoughtful back-and-forth between the real world and the modeling world that I try to inculcate in my own students." - Ned Wingreen, Princeton University "This text is beautifully written. It succeeds by presenting a clear and coherent point of view: It is essential to develop quantitative, testable models of biological phenomena and these models are based on the basic physical foundations of nature which are essential for understanding living systems and for developing the modern tools used to investigate their structure and dynamics." - Alex Levine, University of California, Los Angeles "Excellent conversational tone that Nelson has perfected over time . . . . Excellent mixtures of physical and biological examples, with enough technical content that students can appreciate and understand the biology, but without the jargon and details that often prevent abstract concepts from being easily understood - Illustrations and problems for students are great." - Megan Valentine, University of California, Santa Barbara "This is just the book that one needs to explain to students that mathematical modeling is useful in biology and that just a few mathematical concepts are behind the explosive growth of the biological understanding of the recent years. The interplay between models and experimental data throughout the book is great, and the emphasis on computational solutions with Matlab, with progressing difficulty, allow one to take a complete computer novice into the class." - Ilya Nemenman, Physics, Emory UniversityTable of ContentI First Steps 1. Virus Dynamics2. Physics and Biology II Randomness in Biology 3. Discrete Randomness4. Some Useful Discrete Distributions5. Continuous Distributions6. Model selection and parameter estimation7. Poisson Processes III Control in Cells 8. Randomness in Cellular Processes9. Negative Feedback Control10. Genetic Switches in Cells11. Cellular OscillatorsEpilogue Appendix A Global List of SymbolsAppendix B Units and dimensional analysis Appendix C Numerical ValuesCopyright Date2015Target AudienceCollege AudienceTopicApplied Sciences, Life Sciences / Biochemistry, Chemistry / Physical & Theoretical, Physics / GeneralLccn2014-949574IllustratedYesGenreScience

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Location: Ann Arbor, Michigan

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