Stochastic dynamics for systems biology / Christian Mazza and Michel Benaim.
Material type:
TextSeries: Chapman & Hall/CRC Mathematical and Computational Biology SeriesPublication details: Boca Raton : CRC Press, c2014.Description: xii, 260 p. : ill. ; 24 cmISBN: - 9781466514935
- 570.285 23 M477
| 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 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
| 570.285 L629 Introduction to bioinformatics/ | 570.285 L783 Bioinformatics: the impact of accurate quantification on proteomic and genetic analysis and research/ | 570.285 M449 Computational intelligence and pattern analysis in biology informatics | 570.285 M477 Stochastic dynamics for systems biology / | 570.285 Or66 Bioinformatics | 570.285 P231 Pattern discovery in bioinformatics: theory & algorithms/ | 570.285 P231 Pattern discovery in bioinformatics: theory & algorithms/ |
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.
There are no comments on this title.
