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Stochastic dynamics for systems biology / Christian Mazza and Michel Benaim.

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC Mathematical and Computational Biology SeriesPublication details: Boca Raton : CRC Press, c2014.Description: xii, 260 p. : ill. ; 24 cmISBN:
  • 9781466514935
Subject(s): DDC classification:
  • 570.285 23 M477
Contents:
1. Reaction networks: introduction -- 2. Continuous-time Markov chains -- 3. First-order chemical reaction networks -- 4. Biochemical pathways -- 5. Binding processes and transcription rates -- 6. Kinetics of binding processes -- 7. Transcription factor binding at nucleosomal DNA -- 8. Signalling switches -- 9. Differential equations, flows and vector fields -- 10. Equilibria, periodic orbits and limit cycles -- 11. Linearisation -- 12. Density dependent population processes and the linear noise approximation -- 13. Mass action kinetics -- V Appendixes: A. Self-regulated genes -- B. Asymptotic behaviour of the solutions to time-continuous Lyapunov equations-- Bibliography-- Index.
Summary: 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. Most of the text should be accessible to scientists with basic knowledge in calculus and probability theory.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 570.285 M477 (Browse shelf(Opens below)) Available 135668
Total holds: 0

Includes bibliographical references (p. 243-255) and index.

1. Reaction networks: introduction --
2. Continuous-time Markov chains --
3. First-order chemical reaction networks --
4. Biochemical pathways --
5. Binding processes and transcription rates --
6. Kinetics of binding processes --
7. Transcription factor binding at nucleosomal DNA --
8. Signalling switches --
9. Differential equations, flows and vector fields --
10. Equilibria, periodic orbits and limit cycles --
11. Linearisation --
12. Density dependent population processes and the linear noise approximation --
13. Mass action kinetics --
V Appendixes:
A. Self-regulated genes --
B. Asymptotic behaviour of the solutions to time-continuous Lyapunov equations--

Bibliography--
Index.

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. Most of the text should be accessible to scientists with basic knowledge in calculus and probability theory.

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