Indian Statistical Institute Library, Kolkata

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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


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

By: Mazza, Christian.
Contributor(s): Benaim, Michel.
Material type: TextTextSeries: Chapman & Hall/CRC Mathematical and Computational Biology Series.Publisher: Boca Raton : CRC Press, c2014Description: xii, 260 p. : ill. ; 24 cm.ISBN: 9781466514935.Subject(s): Systems biology -- Mathematical models | Gene expressions -- Statistical methods | Systems biology -- Statistical methods | Systems biologyDDC classification: 570.285
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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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
570.285 M477 (Browse shelf) 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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