000			02332 a2200193 4500
003			OSt
005			20240515130142.0
008			240515b |||||||| |||| 00| 0 eng d
020			_a9780691181516
040			_aICTS-TIFR
050			_aQH324.2.W45
100			_aWeitz, Joshua S.
245			_aQuantitative biosciences : dynamics across cells, organisms, and populations
260			_bPrinceton University Press, _aPrinceton : _c[c2024]
300			_a373 p.
505			_aPreface. Quantitative biosciences at all scales of life. The goal. The structure of this book. You can do it. Acknowledgments. I Molecular and Cellular Biosciences 1 Fluctuations and the Nature of Mutations 2 Bistability of Genetic Circuits 3 Stochastic Gene Expression and Cellular Variability 4 Evolutionary Dynamics: Mutations, Selection, and Diversity II Organismal Behavior and Physiology 5 Robust Sensing and Chemotaxis 6 Nonlinear Dynamics and Signal Processing in Neurons 7 Excitations and Signaling from Cells to Tissue 8 Organismal Locomotion through Water, Air, and Earth III Populations and Ecological Communities 9 Flocking and Collective Behavior: When Many Become One 10 Conflict and Cooperation Among Individuals and Populations 11 Eco-evolutionary Dynamics 12 Outbreak Dynamics: From Prediction to Control IV The Future of Ecosystems 13 Ecosystems: Chaos, Tipping Points, and Catastrophes. Bibliography, Index, Color plates follow page
520			_a"Quantitative Biosciences establishes the quantitative principles of how living systems work across scales, drawing on classic and modern discoveries to present a case study approach that links mechanisms, models, and measurements. Each case study is organized around a central question in the life sciences: Are mutations dependent on selection? How do cells respond to fluctuating signals in the environment? How do organisms move in flocks given local sensing? How does the size of an epidemic depend on its initial speed of spread? Each question provides the basis for introducing landmark advances in the life sciences while teaching students-whether from the life sciences, physics, computational sciences, engineering, or mathematics-how to reason quantitatively about living systems given uncertainty"-- Provided by publisher.
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