Mathematics of Bioinformatics

This book PDF is perfect for those who love Computers genre, written by Matthew He and published by John Wiley & Sons which was released on 16 March 2011 with total hardcover pages 298. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Mathematics of Bioinformatics books below.

Mathematics of Bioinformatics
Mathematics of Bioinformatics
Author : Matthew He
File Size : 49,8 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 16 March 2011
ISBN : 1118099524
Pages : 298 pages
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Mathematics of Bioinformatics by Matthew He Book PDF Summary

Mathematics of Bioinformatics: Theory, Methods, andApplications provides a comprehensive format forconnecting and integrating information derived from mathematicalmethods and applying it to the understanding of biologicalsequences, structures, and networks. Each chapter is divided into anumber of sections based on the bioinformatics topics and relatedmathematical theory and methods. Each topic of the section iscomprised of the following three parts: an introduction to thebiological problems in bioinformatics; a presentationof relevant topics of mathematical theory and methods to thebioinformatics problems introduced in the first part; anintegrative overview that draws the connections and interfacesbetween bioinformatics problems/issues and mathematicaltheory/methods/applications.

Mathematics of Bioinformatics

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Mathematics of Bioinformatics: Theory, Methods, andApplications provides a comprehensive format forconnecting and integrating information derived from mathematicalmethods and applying it to the understanding of biologicalsequences, structures, and networks. Each chapter is divided into anumber of sections based on the bioinformatics topics and relatedmathematical theory and methods. Each topic of the

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Statistical Methods in Bioinformatics by Warren J. Ewens,Gregory R. Grant

Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation

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This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are

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This monograph addresses, in a systematic and pedagogical manner, the mathematical methods and the algorithms required to deal with the molecularly based problems of bioinformatics. Prominent attention is given to pair-wise and multiple sequence alignment algorithms, stochastic models of mutations, modulus structure theory and protein configuration analysis. Strong links to

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Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the

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Encyclopedia of Bioinformatics and Computational Biology

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Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics

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This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism,

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