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MORE ABOUT THIS BOOK
Main description:
Bioinformatics is an interdisciplinary science which involves molecular bi- ogy, molecular chemistry, physics, mathematics, computational sciences, etc. Mostofthebooksonbiomathematicspublishedwithinthepasttenyearshave consistedofcollectionsofstandardbioinformaticsproblemsandinformational methods,andfocus mainly onthe logisticsofimplementing andmakinguse of various websites, databases, software packages and serving platforms. While these types of books do introduce some mathematical and computational methods alongside the software packages, they are lacking in a systematic and professional treatment of the mathematics behind these methods. It is signi?cant in the ?eld of bioinformatics that not only is the amount of data increasing exponentially, but collaboration is also both widening and deepening among biologists, chemists, physicists, mathematicians, and c- puter scientists. The sheer volume of problems and databases requires - searchers to continually develop software packages in order to process the huge amounts of data, utilizing the latest mathematical methods. The - tent of this book is to provide a professional and in-depth treatment of the mathematical topics necessary in the study of bioinformatics.
Feature:
Clearly explains the mathematical concepts behind bioinformatics
Makes direct connections to biomolecular structures such as proteins, DNA and RNA
Back cover:
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. The book will be useful to students, research scientists and practitioners of bioinformatics and related fields, especially those who are interested in the underlying mathematical methods and theory. Among the methods presented in the book, 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 the molecular structures of proteins, DNA and other biomolecules and their analyses are developed. In particular, for proteins an in-depth exposition of secondary structure prediction methods should be a valuable tool in both molecular biology and in applications to rational drug design. The book can also be used as a textbook and for this reason most of the chapters include exercises and problems at the level of a graduate program in bioinformatics.
Contents:
Outline.- Outline.- Mutations and Alignments.- Stochastic Models of Mutations and Structural Analysis.- Modulus Structure Theory.- Super Pairwise Alignment.- Multiple Sequence Alignment.- Network Structures of Multiple Sequences Induced by Mutation.- Alignment Space.- Protein Configuration Analysis.- Background Information Concerning the Properties of Proteins.- Informational and Statistical Iterative Analysis of Protein Secondary Structure Prediction.- Three-Dimensional Structure Analysis of the Protein Backbone and Side Chains.- Alignment of Primary and Three-Dimensional Structures of Proteins.- Depth Analysis of Protein Spatial Structure.- Analysis of the Morphological Features of Protein Spatial Structure.- Semantic Analysis for Protein Primary Structure.
PRODUCT DETAILS
Publisher: Springer (Springer Berlin Heidelberg)
Publication date: February, 2008
Pages: 445
Weight: 853g
Availability: Not available (reason unspecified)
Subcategories: Genetics
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