Description
Quantitative Biology
From Molecular to Cellular Systems
Chapman & Hall/CRC Mathematical Biology Series
Coordinator: Wall Michael E.
Language: EnglishSubjects for Quantitative Biology:
Keywords
CNB Domain; Ch Ap; quantitative biology; Lo gI; spatial ecology; Live Cell Imaging Approaches; Pattern Formation; CI Level; SOS Response; PKA Activity; AGC Kinase; PKA Signaling; Transcription Elongation Complex; Open Complex Formation; Single Molecule Fret; Prophage Induction; Single Molecule Experiments; PKA; Protein Kinase; Lac Operon; Feed Forward Inhibition; Single Molecule Fret Experiment; DNA Complex; Fad Cofactor; Interparticle Interference; Tness Landscape; Lysogenic State; RIα Subunit
Publication date: 08-2012
· 17.8x25.4 cm · Hardback
Publication date: 09-2020
· 17.4x24.6 cm · Paperback
Description
/li>Contents
/li>Biography
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Quantitative methods are revolutionizing modern molecular and cellular biology. Groundbreaking technical advances are fueling the rapid expansion in our ability to observe, as seen in multidisciplinary studies that integrate theory, computation, experimental assays, and the control of microenvironments. Integrating new experimental and theoretical methods, Quantitative Biology: From Molecular to Cellular Systems gives both new and established researchers a solid foundation for starting work in this field.
The book is organized into three sections:
covers bold ideas that inspire novel approaches in modern quantitative biology. It offers perspectives on evolutionary dynamics, system design principles, chance and memory, and information processing in biology.
In short, Quantitative Biology presents practical tools for the observation, modeling, design, and manipulation of biological systems from the molecular to the cellular levels.
Free Energies, Landscapes, and Fitness in Evolution Dynamics. System Design Principles. Chance and Memory. Information Theory and Adaptation. Quantitative In Vitro Biochemistry, One Molecule at a Time. Small-Angle Scattering. Subcellular Signaling Dynamics. Single-Cell Behavior. Modeling Genetic Parts for Synthetic Biology. Modeling Cellular Variability. PKA: Prototype for Dynamic Signaling in Time and Space. Stochastic Simulation of the Phage Lambda Gene Regulatory Circuitry. Chemotaxis.
Michael E. Wall is with the Computer, Computational, and Statistical Sciences Division of the Los Alamos National Laboratory in New Mexico.
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