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:
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, Robert H. Austin
System Design Principles, Michael A. Savageau
Chance and Memory, Theodore J. Perkins, Andrea Y. Weiße, and Peter S. Swain
Information Theory and Adaptation, Ilya Nemenman
Quantitative In Vitro Biochemistry, One Molecule at a Time, Jeffrey A. Hanson and Haw Yang
Small-Angle Scattering, Cy M. Jeffries and Jill Trewhella
Subcellular Signaling Dynamics, Jeffrey J. Saucerman and Jin Zhang
Single-Cell Behavior, Philippe Cluzel
Modeling Genetic Parts for Synthetic Biology, Ying-Ja Chen, Kevin Clancy and Christopher A. Voigt
Modeling Cellular Variability, Brian Munsky
PKA: Prototype for Dynamic Signaling in Time and Space, Susan S. Taylor and Alexandr P. Kornev
Stochastic Simulation of the Phage Lambda Gene Regulatory Circuitry, John W. Little and Adam P. Arkin
Chemotaxis, Howard C. Berg
Michael E. Wall is with the Computer, Computational, and Statistical Sciences Division of the Los Alamos National Laboratory in New Mexico.
|K11344_Chapter6_Supplement.pdf||Cross Platform||June 05, 2012||Supplementary Material|