[MURG] new Keizer text website (fwd from fall@cns.nyu.edu)

[Eugen Leitl]

----- Forwarded message from Chris Fall <fall at cns.nyu.edu> -----

From: Chris Fall <fall at cns.nyu.edu>
Date: Fri, 18 Jun 2004 14:47:31 -0500
To: Chris Fall <fall at cns.nyu.edu>
Subject: new Keizer text website
X-Mailer: Apple Mail (2.618)
Reply-To: Chris Fall <fall at cns.nyu.edu>

Announcing....

http://www.ComputationalCellBiology.net

Our colleague John Wagner has completely revised the website 
accompanying
the textbook

Computational Cell Biology (Springer Verlag, 2002)

We are also pleased to announce that there will be a third, corrected
printing this summer. (Royalties from this text are donated to the Joel 
E. Keizer
memorial endowment for collaborative interdisciplinary research in the 
life sciences.)

Contents of the Web Site include:

**XppAut and MATLAB code for the replication of many of the figures

** a link to the Virtual Cell implementation of many covered models
(thanks to Dr. Les Loew and Johann Cutiongco)

** a list known errors in the first and second printings

** contact information for Authors and Editors

** useful links for the community

In the near future we expect to add:

** all of the figures from the book for use in teaching

** an online version of a solutions manual currently being developed


This is an ongoing project and we are hopeful that this site will 
evolve into a useful resource for
those interested in Computational Cell Biology. We would like to 
SOLICIT additional
teaching materials related to the textbook such as Powerpoint
presentations or PDF's, additional useful links, and any other 
suggestions.


About "Computational Cell Biology:"

Contributors:
Tim Elston, Bard Ermentrout, Chris Fall, Jim Keener, Joel Keizer,
Yue-Xian Li, Eric Marland, Alex Mogilner, Bela Novak, George Oster,
John Pearson, John Rinzel, Artie Sherman, Greg Smith, John Tyson, John
Wagner and Hongyun Wang

Computational Cell Biology 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. The concept for such a
textbook 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, neuroscientists, engineers and for mathematics 
students and life
scientists who wish to learn about modeling in cell biology.

Evaluation copies are available for loan directly from Springer-Verlag.

Editors:

Chris Fall, Eric S. Marland, John M. Wagner and John J. Tyson



----- End forwarded message -----
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Eugen* Leitl <a href="http://leitl.org">leitl</a>
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