Christian Mazza, Michel Benaim

Stochastic Dynamics for Systems Biology (eBook, PDF)

• Format: PDF

Produktbeschreibung

This is one of the first books to provide a systematic study of the many stochastic models used in systems biology. The book shows how the mathematical models are used as technical tools for simulating biological processes and how the models lead to conceptual insights on the functioning of the cellular processing system. Examples cover the phage lambda genetic switch, eukaryotic gene expression, noise propagation in gene networks, and more. Most of the text should be accessible to scientists with basic knowledge in calculus and probability theory.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 274
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781466514942
• Artikelnr.: 56962055

Inhaltsangabe

Dynamics of Reaction Networks: Markov Processes: Reaction Networks:
Introduction. Continuous-Time Markov Chains. Illustrations from Systems
Biology: First-Order Chemical Reaction Networks. Biochemical Pathways.
Binding Processes and Transcription Rates. Kinetics of Binding Processes.
Transcription Factor Binding at Nucleosomal DNA. Signalling Switches. A
Short Course on Dynamical Systems: Differential Equations, Flows, and
Vector Fields. Equilibria, Periodic Orbits and Limit Cycles. Linearization.
Linear Noise Approximation: Density-Dependent Population Processes and the
Linear Noise Approximation. Mass Action Kinetics. Appendix: Self-Regulated
Genes. Asymptotic Behavior of the Solutions to Time-Continuous Lyapunov
Equations. Bibliography. Index.