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Simulation Algorithms for Computational Systems Biology

This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in s...

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Bibliographic Details
Main Authors: Marchetti, Luca, Priami, Corrado (Author), Thanh, Vo Hong (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:Texts in Theoretical Computer Science. An EATCS Series
Subjects:
Systems Biology
Bioinformatics
Algorithms
Biological Systems
Algorithm Analysis And Problem Complexity
Computational Biology/bioinformatics
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a Introduction -- Deterministic Simulation Algorithms -- Stochastic Simulation Algorithms -- Hybrid Simulation Algorithms -- Reaction-Diffusion Systems -- Conclusions and Perspectives 
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520 |a This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies. This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics. An appendix covers the mathematical background, and the authors include further reading sections in each chapter 

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