Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists

Voit, Eberhard O.

ISBN 10: 052178087X / ISBN 13: 9780521780872

Published by Cambridge University Press, 2000

About this Item

CRISP UNMARKED COPY,AS NEW CONDITION.

Seller Inventory # BB-22

Bibliographic Details

• Title: Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists
• Publisher: Cambridge University Press
• Publication Date: 2000
• Language: English
• ISBN 10: 052178087X
• ISBN 13: 9780521780872
• Binding: Hardcover
• Edition: 1st Edition
• Condition: As New
• Dust Jacket Condition: No Jacket

About this title

Synopsis

A true understanding of genetic and metabolic function and design is facilitated by mathematical and computational methods for analyzing biochemical systems. This hands-on reference teaches biochemists and molecular biologists the use of modern computational methods for the analysis of complex biomedical systems requiring a modest mathematical background. The book begins with representations of biochemical systems, provides guidelines for setting up models, details mathematical and computational methods of parameter estimation and model analysis, and connects to the modern literature with four detailed case studies. Every step is illustrated with examples and explored with accompanying PLAS software. The volume also features over 250 exercises with about one quarter fully or partially solved.

Book Description

A true understanding of genetic and metabolic function and design crucially depends on mathematical and computational methods for analyzing biochemical systems. This book teaches biochemists and molecular biologists in a hands-on fashion the use of modern computational methods for the analysis of complex biomedical systems; a modest mathematical background will suffice. The book begins with representations of biochemical systems, provides guidelines for setting up models, discusses in detail mathematical and computational methods of parameter estimation and model analysis, and ultimately connects to the modern literature with four detailed case studies. Every step is illustrated with examples and explored with accompanying software.