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Biological Modeling And Simulation: A Survey Of Practical Models, Algorithms, And Numerical Methods (Computational Molecular Biology)
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There are many excellent computational biology resources now available for learning about methods that have been developed to address specific biological systems, but comparatively little attention has been paid to training aspiring computational biologists to handle new and unanticipated problems. This text is intended to fill that gap by teaching students how to reason about developing formal mathematical models of biological systems that are amenable to computational analysis. It collects in one place a selection of broadly useful models, algorithms, and theoretical analysis tools normally found scattered among many other disciplines. It thereby gives the aspiring student a bag of tricks that will serve him or her well in modeling problems drawn from numerous subfields of biology. These techniques are taught from the perspective of what the practitioner needs to know to use them effectively, supplemented with references for further reading on more advanced use of each method covered. The text, which grew out of a class taught at Carnegie Mellon University, covers models for optimization, simulation and sampling, and parameter tuning. These topics provide a general framework for learning how to formulate mathematical models of biological systems, what techniques are available to work with these models, and how to fit the models to particular systems. Their application is illustrated by many examples drawn from a variety of biological disciplines and several extended case studies that show how the methods described have been applied to real problems in biology.

Series: Computational Molecular Biology

Hardcover: 408 pages

Publisher: The MIT Press; 1 edition (July 25, 2008)

Language: English

ISBN-10: 0262195844

ISBN-13: 978-0262195843

Product Dimensions: 7 x 0.7 x 9 inches

Shipping Weight: 1.7 pounds (View shipping rates and policies)

Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)

Best Sellers Rank: #740,453 in Books (See Top 100 in Books) #167 in Books > Computers & Technology > Computer Science > Computer Simulation #168 in Books > Computers & Technology > Computer Science > Bioinformatics #369 in Books > Computers & Technology > Databases & Big Data > Data Modeling & Design

If you want to have working knowledge (with theoretical background) but do not have much time to take all related classes, then this book should be a good place to start. Exposition of concepts is akin to real biological problems. Many pseudo-codes are directly implementable within one or two hours. I recommend this especially for those who are not familiar with scientific programming since it teaches how to approach scientific problems. Although the book is meant to summarize related methods but each section covers enough details with clear explanation.

Nice and easily understandable book for the starters in Simulation and Modelling in Biological Systems.

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