Models of life : dynamics and regulation in biological systems /
"Reflecting the major advances that have been made in the field over the past decade, this book provides an overview of current models of biological systems. The focus is on simple quantitative models, highlighting their role in enhancing our understanding of the strategies of gene regulation a...
Guardado en:
| Autor principal: | |
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| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
2014.
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| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 020 | |a 1107061903 |q (hardback) | ||
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| 082 | 0 | 0 | |a 570.1/51 |2 23 |
| 100 | 1 | |a Sneppen, Kim. | |
| 245 | 1 | 0 | |a Models of life : |b dynamics and regulation in biological systems / |c Kim Sneppen. |
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2014. | ||
| 300 | |a x, 342 p. : |b il. ; |c 26 cm. | ||
| 504 | |a Incluye referencias bibliográficas (p. 301-333) e índice. | ||
| 505 | 0 | |a Preface -- 1. Life from a physics perspective -- 2. E. coli as a model system -- 3. Dynamics of regulatory links -- 4. Statistical mechanics of phage [lambda] -- 5. Diffusion and randomness in transcription -- 6. Stochastic genes and persistent decisions -- 7. cis-Acting gene regulation and epigenetics -- 8. Feedback circuits -- 9. Networks -- 10. Signalling and metabolic networks -- 11. Agent-based models of signalling and selection -- 12. Competition and diversity -- 13. Evolution and extinction -- Appendix. Langevin versus Fokker-Planck equation ; Kramers' equation ; First passage for random walks -- References -- Index. | |
| 520 | |a "Reflecting the major advances that have been made in the field over the past decade, this book provides an overview of current models of biological systems. The focus is on simple quantitative models, highlighting their role in enhancing our understanding of the strategies of gene regulation and dynamics of information transfer along signalling pathways, as well as in unravelling the interplay between function and evolution. The chapters are self-contained, each describing key methods for studying the quantitative aspects of life through the use of physical models. They focus, in particular, on connecting the dynamics of proteins and DNA with strategic decisions on the larger scale of a living cell, using E. coli and phage lambda as key examples. Encompassing fields such as quantitative molecular biology, systems biology and biophysics, this book will be a valuable tool for students from both biological and physical science backgrounds" --Descripción del editor. | ||
| 650 | 0 | |a Life sciences |x Mathematical models. | |
| 650 | 0 | |a Biology |x Mathematical models. | |
| 650 | 7 | |a Ciencias biológicas |x Modelos matemáticos. |2 UDESA | |
| 650 | 7 | |a Biología |x Modelos matemáticos. |2 UDESA | |