Computational Cell Biology

Fall, Christopher P. (Editor) / Marland, Eric S. (Editor) / Wagner, John M. (Editor) / Tyson, John J. (Editor)

ISBN 10: 1441929754 / ISBN 13: 9781441929754

Published by Springer New York, 2010

About this Item

reprint edition. 468 pages. 9.00x6.00x1.25 inches. In Stock.

Seller Inventory # x-1441929754

Bibliographic Details

• Title: Computational Cell Biology
• Publisher: Springer New York
• Publication Date: 2010
• Language: English
• ISBN 10: 1441929754
• ISBN 13: 9781441929754
• Binding: Paperback
• Condition: Brand New
• Weight: 0.89 kilograms

About this title

Synopsis

- Biological examples motivate concepts and techniques used in computational cell biology through a progression of increasingly more complex cellular functions modelled with complex mathematical computational techniques. - A focused introduction that is aimed at advanced undergraduate and graduate biologists and who are mathematically minded and math students who wish to learn about modeling in cell biology.

From the Back Cover

 

This textbook provides an introduction to dynamic modeling in cell biology, emphasizing computational approaches based on realistic molecular mechanisms. It is designed to introduce cell biology and neuroscience students to computational modeling, and applied mathematics students, theoretical biologists, and engineers to many of the problems in dynamical cell biology. This volume was conceived of and begun by Professor Joel Keizer based on his many years of teaching and research together with his colleagues. The project was expanded and finished by his students and friends after his untimely death in 1999.

Carefully selected examples are used to motivate the concepts and techniques of computational cell biology, through a progression of increasingly more complex and demanding cases. Illustrative exercises are included with every chapter, and mathematical and computational appendices are provided for reference. This textbook will be useful for advanced undergraduate and graduate theoretical biologists, and for mathematic students and life scientists who wish to learn about modeling in cell biology.

"What better tribute to the late Joel Keizer than to expand his unfinished accounts of teaching and research to a splendid book. Computational Cell Biology performs much more than it promises, for it also deals with considerable analytical material and with aspects of molecular biology. There's something for everybody interested in how modeling leads to greater understanding in the core of the biological sciences."

-Lee Segel (Weizmann Institute)