| 000 | 02186cam a22002415i 4500 | ||
|---|---|---|---|
| 020 | _a9789811087523 | ||
| 082 | 0 | 4 | _a610.28 MAR |
| 100 | 1 | _aMarchisio, Mario Andrea, | |
| 245 | 1 | 0 |
_aIntroduction to Synthetic Biology : _bAbout Modeling, Computation, and Circuit Design / _cby Mario Andrea Marchisio. |
| 250 | _a1st ed. 2018. | ||
| 260 |
_aChina: _bSpringer; _c2018. |
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| 300 | _a1 online resource (XII, 187 pages 91 illustrations, 74 illustrations in color.) | ||
| 490 | 1 | _aLearning Materials in Biosciences, | |
| 505 | 0 | _aChapter 1: Introduction -- Chapter 2: Modeling: choosing a kinetics -- Chapter 3: Modeling at computer: getting started -- Chapter 4: Stochastic modeling -- Chapter 5: Steady states -- Chapter 6: Stability analysis: hysteresis and oscillations -- Chapter7: Toggle switch: dynamics and steady states -- Chapter 8: Rule-based modeling -- Chapter 9: Gene circuit modular computational design -- Chapter 10: Parameter analysis -- Chapter 11: Circuit analysis with COPASI -- Chapter 12: Circuit motifs. | |
| 520 | _aThe textbook is based on the lectures of the course "Synthetic Biology" for Master's students in biology and biotechnology at the Harbin Institute of Technology. The goal of the textbook is to explain how to make mathematical models of synthetic gene circuits that will, later on, drive the circuit implementation in the lab. Concepts such as kinetics, circuit dynamics and equilibria, stochastic and deterministic simulations, parameter analysis and optimization are presented. At the end of the textbook, a chapter contains a description of structural motifs (e.g. positive and negative feedback loops, Boolean gates) that carry out specific functions and can be combined into larger networks. Moreover, several chapters show how to build up (an analyse, where possible) models for synthetic gene circuits with four different open-source software id est COPASI, XPPAUT, BioNetGeN, and Parts and Pools-ProMoT. | ||
| 650 | 0 | _aBiomedical engineering. | |
| 650 | 0 | _aBiotechnology. | |
| 650 | 0 | _aSystems biology. | |
| 650 | 1 | 4 | _aBiomedical Engineering/Biotechnology. |
| 650 | 2 | 4 | _aBiotechnology. |
| 650 | 2 | 4 | _aSystems Biology. |
| 942 | _cBK | ||
| 999 |
_c255658 _d255658 |
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