Computational Cell Biology (Google eBook)

Front Cover
Christopher P. Fall, Eric S. Marland, John M. Wagner, John J. Tyson
Springer Science & Business Media, 2002 - Science - 468 pages
2 Reviews
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 mathematics students and life scientists who wish to learn about modeling in cell biology. Royalties from this book will be donated to the Joel E. Keizer memorial endowment for collaborative interdisciplinary research in the life sciences.
  

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Contents

II
2
III
3
IV
8
V
11
VI
13
VII
19
VIII
21
IX
23
LXV
214
LXVI
220
LXVII
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LXVIII
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LXIX
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LXX
232
LXXI
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LXXII
239

X
27
XI
29
XII
31
XIII
34
XIV
45
XV
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XVI
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XVII
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XVIII
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XIX
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XX
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XXI
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XXII
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XXIII
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XXIV
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XXV
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XXVI
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XXVII
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XXVIII
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XXIX
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XXX
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XXXI
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XXXII
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XXXIII
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XXXIV
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XXXV
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XXXVI
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XXXVII
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XXXVIII
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XXXIX
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XL
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XLI
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XLII
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XLIII
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XLIV
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XLV
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XLVI
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XLVII
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XLVIII
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XLIX
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L
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LI
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LII
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LIII
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LIV
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LV
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LVI
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LVII
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LVIII
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LIX
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LXI
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LXIII
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LXIV
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LXXIII
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LXXIV
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LXXV
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LXXVI
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LXXVII
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LXXVIII
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LXXIX
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LXXX
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LXXXI
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LXXXII
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LXXXIV
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LXXXV
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LXXXVI
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LXXXVII
285
LXXXVIII
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LXXXIX
298
XC
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XCI
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XCII
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XCIII
317
XCIV
320
XCV
323
XCVI
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XCVII
335
XCVIII
338
XCIX
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C
345
CII
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CIII
354
CIV
359
CV
362
CVI
364
CVII
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CVIII
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CIX
378
CX
379
CXI
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CXII
382
CXIII
388
CXIV
395
CXV
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CXVI
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CXVII
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CXVIII
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CXIX
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CXX
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CXXI
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CXXII
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CXXIII
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CXXIV
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CXXV
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About the author (2002)

Fall, Center for Neural Science, New York University.

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