Hardcover ISBN:  9780821839645 
Product Code:  PSAPM/64 
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Product Code:  PSAPM/64.E 
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Hardcover ISBN:  9780821839645 
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Product Code:  PSAPM/64.B 
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AMS Member Price:  $179.20 $139.60 
Hardcover ISBN:  9780821839645 
Product Code:  PSAPM/64 
List Price:  $125.00 
MAA Member Price:  $112.50 
AMS Member Price:  $100.00 
eBook ISBN:  9780821892794 
Product Code:  PSAPM/64.E 
List Price:  $99.00 
MAA Member Price:  $89.10 
AMS Member Price:  $79.20 
Hardcover ISBN:  9780821839645 
eBook ISBN:  9780821892794 
Product Code:  PSAPM/64.B 
List Price:  $224.00 $174.50 
MAA Member Price:  $201.60 $157.05 
AMS Member Price:  $179.20 $139.60 

Book DetailsProceedings of Symposia in Applied MathematicsVolume: 64; 2007; 151 ppMSC: Primary 92
It is the task of computational biology to help elucidate the unique characteristics of biological systems. This process has barely begun, and many researchers are testing computational tools that have been used successfully in other fields. Mathematical and statistical network modeling is an important step toward uncovering the organizational principles and dynamic behavior of biological networks. Undoubtedly, new mathematical tools will be needed, however, to meet this challenge. The workhorse of this effort at present comprises the standard tools from applied mathematics, which have proven to be successful for many problems. But new areas of mathematics not traditionally considered applicable are contributing other powerful tools.
This volume is intended to introduce this topic to a broad mathematical audience. The aim is to explain some of the biology and the computational and mathematical challenges we are facing. The different chapters provide examples of how these challenges are met, with particular emphasis on nontraditional mathematical approaches. The volume features a broad spectrum of networks across scales, ranging from biochemical networks within a single cell to epidemiological networks encompassing whole cities.
Chapter topics include phylogenetics and gene finding using tools from statistics and algebraic geometry, biochemical network inference using tools from computational algebra, controltheoretic approaches to drug delivery using differential equations, and interactionbased modeling and discrete mathematics applied to problems in population dynamics and epidemiology.
ReadershipGraduate students and research mathematicians interested in mathematical biology.

Table of Contents

Articles

Lior Pachter — An introduction to reconstructing ancestral genomes [ MR 2359647 ]

Elizabeth S. Allman and John A. Rhodes — Phylogenetics [ MR 2359648 ]

Brandilyn Stigler — Polynomial dynamical systems in systems biology [ MR 2359649 ]

Suzanne Lenhart and John T. Workman — An introduction to optimal control applied to immunology problems [ MR 2359650 ]

Christopher L. Barrett, Keith Bisset, Stephen Eubank, Madhav V. Marathe, V. S. Anil Kumar and Henning S. Mortveit — Modeling and simulation of large biological, information and sociotechnical systems: an interactionbased approach [ MR 2359651 ]


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It is the task of computational biology to help elucidate the unique characteristics of biological systems. This process has barely begun, and many researchers are testing computational tools that have been used successfully in other fields. Mathematical and statistical network modeling is an important step toward uncovering the organizational principles and dynamic behavior of biological networks. Undoubtedly, new mathematical tools will be needed, however, to meet this challenge. The workhorse of this effort at present comprises the standard tools from applied mathematics, which have proven to be successful for many problems. But new areas of mathematics not traditionally considered applicable are contributing other powerful tools.
This volume is intended to introduce this topic to a broad mathematical audience. The aim is to explain some of the biology and the computational and mathematical challenges we are facing. The different chapters provide examples of how these challenges are met, with particular emphasis on nontraditional mathematical approaches. The volume features a broad spectrum of networks across scales, ranging from biochemical networks within a single cell to epidemiological networks encompassing whole cities.
Chapter topics include phylogenetics and gene finding using tools from statistics and algebraic geometry, biochemical network inference using tools from computational algebra, controltheoretic approaches to drug delivery using differential equations, and interactionbased modeling and discrete mathematics applied to problems in population dynamics and epidemiology.
Graduate students and research mathematicians interested in mathematical biology.

Articles

Lior Pachter — An introduction to reconstructing ancestral genomes [ MR 2359647 ]

Elizabeth S. Allman and John A. Rhodes — Phylogenetics [ MR 2359648 ]

Brandilyn Stigler — Polynomial dynamical systems in systems biology [ MR 2359649 ]

Suzanne Lenhart and John T. Workman — An introduction to optimal control applied to immunology problems [ MR 2359650 ]

Christopher L. Barrett, Keith Bisset, Stephen Eubank, Madhav V. Marathe, V. S. Anil Kumar and Henning S. Mortveit — Modeling and simulation of large biological, information and sociotechnical systems: an interactionbased approach [ MR 2359651 ]