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Guide to Numerical Modelling in Systems Biology

Deuflhard Peter Röblitz, Susanna
Heftet / 2016 / Engelsk

Produktdetaljer

ISBN
9783319368825
Publisert
2016-10-15
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Graduate, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Forfatter
Deuflhard Peter
Röblitz, Susanna

Om bidragsyterne

Peter Deuflhard, founder of ZIB and co-founder of MATHEON in Berlin, has written successful books in numerical analysis and scientific computing (three of them with Springer).

Susanna Röblitz is Head of the research group Computational Systems Biology at ZIB and professor for Applied Mathematics and Bioinformatics at FU Berlin.

 

Guide to Numerical Modelling in Systems Biology

Deuflhard Peter Röblitz, Susanna
Heftet / 2016 / Engelsk
Deuflhard Peter Röblitz, Susanna
Heftet / 2016 / Engelsk
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<p>“This book is structured in three chapters covering
the ODE modeling for the identification and characterization of biological
networks, the handling of numerical simulations for the proposed ODE models and
the corresponding parameters identification, respectively. … included a list of
numerical algorithms and software packages that facilitate the understanding of
the ODE-related problems. … written in an accessible manner, with plenty of
examples, making it a valuable addition to the series of textbooks in computational
science and engineering.” (Irina Ioana Mohorianu, zbMATH, Vol. 1325.92001, 2016)</p><p>“It focuses almost solely on the mundane
mathematical topic of ordinary differential equations (ODEs) and their
parameter estimation … . the prime readership for this volume is to be found
more amongst advanced researchers in systems biology trying to find reasons for
unstable results of some ODE simulation or identification packages.” (L.-F. Pau,
Computing Reviews, November, 2015)</p>

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 Universität 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.
Les mer
This book is intended for students of computational systems biology with only a limited background in mathematics. The result is not a book on systems biology, but on computational methods in systems biology.
Les mer
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 Universität 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. 
Les mer
Mathematics without theorems in clear orientation towards systems biology Many illustrative examples to explain details Guide to software indicating its strengths and weaknesses Includes supplementary material: sn.pub/extras
Les mer
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Les mer

Relaterte produkter

<p>“This book is structured in three chapters covering
the ODE modeling for the identification and characterization of biological
networks, the handling of numerical simulations for the proposed ODE models and
the corresponding parameters identification, respectively. … included a list of
numerical algorithms and software packages that facilitate the understanding of
the ODE-related problems. … written in an accessible manner, with plenty of
examples, making it a valuable addition to the series of textbooks in computational
science and engineering.” (Irina Ioana Mohorianu, zbMATH, Vol. 1325.92001, 2016)</p><p>“It focuses almost solely on the mundane
mathematical topic of ordinary differential equations (ODEs) and their
parameter estimation … . the prime readership for this volume is to be found
more amongst advanced researchers in systems biology trying to find reasons for
unstable results of some ODE simulation or identification packages.” (L.-F. Pau,
Computing Reviews, November, 2015)</p>

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 Universität 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.
Les mer
This book is intended for students of computational systems biology with only a limited background in mathematics. The result is not a book on systems biology, but on computational methods in systems biology.
Les mer
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 Universität 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. 
Les mer
Mathematics without theorems in clear orientation towards systems biology Many illustrative examples to explain details Guide to software indicating its strengths and weaknesses Includes supplementary material: sn.pub/extras
Les mer
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Les mer

Produktdetaljer

ISBN
9783319368825
Publisert
2016-10-15
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Graduate, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Forfatter
Deuflhard Peter
Röblitz, Susanna

Om bidragsyterne

Peter Deuflhard, founder of ZIB and co-founder of MATHEON in Berlin, has written successful books in numerical analysis and scientific computing (three of them with Springer).

Susanna Röblitz is Head of the research group Computational Systems Biology at ZIB and professor for Applied Mathematics and Bioinformatics at FU Berlin.

 

Relaterte produkter