Stochastic Approaches for Systems Biology

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Springer Science & Business Media, 12.07.2011 - 290 Seiten

This textbook focuses on stochastic analysis in systems biology containing both the theory and application. While the authors provide a review of probability and random variables, subsequent notions of biochemical reaction systems and the relevant concepts of probability theory are introduced side by side. This leads to an intuitive and easy-to-follow presentation of stochastic framework for modeling subcellular biochemical systems. In particular, the authors make an effort to show how the notion of propensity, the chemical master equation and the stochastic simulation algorithm arise as consequences of the Markov property.

The text contains many illustrations, examples and exercises to illustrate the ideas and methods that are introduced. Matlab code is also provided where appropriate. Additionally, the cell cycle is introduced as a more complex case study.

Senior undergraduate and graduate students in mathematics and physics as well as researchers working in the area of systems biology, bioinformatics and related areas will find this text useful.

 

Ausgewählte Seiten

Inhalt

Introduction
1
Biochemical Reaction Networks
23
Randomness
53
Probability and Random Variables
75
Stochastic Modeling of Biochemical Networks
115
The 2MA Approach
173
The 2MA Cell Cycle Model
201
Hybrid Markov Processes
221
WetLab Experiments and Noise
235
References
245
Glossary
261
Index
281
Urheberrecht

Andere Ausgaben - Alle anzeigen

Stochastic Approaches for Systems Biology
Mukhtar Ullah,Olaf Wolkenhauer
Keine Leseprobe verfügbar - 2011
Stochastic Approaches for Systems Biology
Mukhtar Ullah,Olaf Wolkenhauer
Keine Leseprobe verfügbar - 2014
Stochastic Approaches for Systems Biology
Mukhtar Ullah,Olaf Wolkenhauer
Keine Leseprobe verfügbar - 2011

Häufige Begriffe und Wortgruppen

abundance approaches approximation arrival assigned assumed average behavior biochemical called cell channel chapter chemical chemical reactions coefficient complex computed concentration condition Construct continuous copy number corresponding defined depend derivatives described determined deterministic differential equation diffusion discrete distribution drift dynamics elementary reactions elements enzyme example exponential expression Figure fluctuations function gene given gives important independent initial interpreted interval kinetic Markov process mathematical Matlab matrix mean measure modification molecules Nature noise Note ntot observed obtained occur organization parameter plotted Poisson possible probability propensity protein random variable rate constant reactant reaction rate referred regulation relation relative represent requires respective result sample selected signal solution space species standard stochastic differential equation stochastic modeling stochastic process stochastic simulation systems biology takes transcription transition unit values variance vector

Autoren-Profil (2011)

Olaf Wolkenhauer received his first degrees in control engineering from the University of Applied Sciences in Hamburg, Germany and the University of Portsmouth in the U.K. He obtained his PhD from the University of Manchester, Institute of Science & Technology (UMIST) for research on the application of possibility theory to data analysis. Following a research lectureship at the Control Systems Centre at UMIST and a research fellowship at the Technical University Delft in the Netherlands, he directed his research towards systems biology. This led to a joint senior lectureship with the Dept. of Biomolecular Sciences and the Dept. of Electrical Engineering and Electronics, at UMIST. In 2003 he moved to the University of Rostock in Germany, where he heads the Department of Systems Biology and Bioinformatics. He is a fellow of the Stellenbosch Institute for Advanced Study (STIAS). Olaf Wolkenhauer’s research interests are in mathematical modelling and data analysis. His work concentrates on a systems-theoretic approach to understand the regulation, control and coordination of complex dynamical systems.

Webpage: www.sbi.uni-rostock.de

Mukhtar Ullah received his BSc in Electrical Engineering from N-W.F.P University of Engineering and Technology Peshawar, N-W.F.P, Pakistan. He completed his MSc. in Advanced Control and Systems Engineering from the Department of Electrical Engineering and Electronics, at the University of Manchester Institute of Science and Technology (UMIST), Manchester, U.K. in 2002. In 2003 he moved to the University of Rostock in Germany as a research assistant in the Department of Systems Biology and Bioinformatics in the Institute of Computer Science. In 2009 he completed his PhD from the same department. He is currently working as a post-doctoral research associate in the same department. His research focuses on stochastic modelling of biological systems.

Webpage: www.sbi.uni-rostock.de

Bibliografische Informationen

TitelStochastic Approaches for Systems Biology
SpringerLink : Bücher
AutorenMukhtar Ullah, Olaf Wolkenhauer
Ausgabeillustriert
VerlagSpringer Science & Business Media, 2011
ISBN1461404789, 9781461404781
Länge290 Seiten
  
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