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A guide to numerical modelling in systems biology

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A guide to numerical modelling in systems biology/ by Peter Deuflhard, Susanna Roblitz.
Author:	Deuflhard, Peter.
other author:	Roblitz, Susanna.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	x, 168 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Systems biology - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-20059-0
ISBN:	9783319200590 (electronic bk.)

A guide to numerical modelling in systems biology
Deuflhard, Peter.

A guide to numerical modelling in systems biology[electronic resource] /by Peter Deuflhard, Susanna Roblitz. - Cham :Springer International Publishing :2015. - x, 168 p. :ill. (some col.), digital ;24 cm. - Texts in computational science and engineering,121611-0994 ;. - Texts in computational science and engineering ;6..

Preface -- Outline -- ODE Models for Systems Biological Networks -- Numerical Simulation of ODE Models -- Parameter Identification in ODE Models -- Appendix -- Software -- Index.

This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universitat Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks, and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.

ISBN: 9783319200590 (electronic bk.)

Standard No.: 10.1007/978-3-319-20059-0doiSubjects--Topical Terms:

1000176
Systems biology
--Mathematical models.

LC Class. No.: QH323.5

Dewey Class. No.: 570.15118

A guide to numerical modelling in systems biology
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