Introduction To Bioinformatics, 1/e
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Introduction To Bioinformatics, 1/e

Author : Anna Tramontano
© Year : 2006
ISBN : 9781584885696
Pages : 192
Binding : Paperback
Weight : 0.40   kg

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  • About the Book
  • Salient Features
  • Table of Contents

Guiding readers from the elucidation and analysis of a genomic sequence to the prediction of a protein structure and the identification of the molecular function, Introduction to Bioinformatics describes the rationale and limitations of the bioinformatics methods and tools that can help solve biological problems. Requiring only a limited mathematical and statistical background, the book shows how to efficiently apply these approaches to biological data and evaluate the resulting information.
The author, an expert bioinformatics researcher, first addresses the ways of storing and retrieving the enormous amount of biological data produced every day and the methods of decrypting the information encoded by a genome. She then covers the tools that can detect and exploit the evolutionary and functional relationships among biological elements. Subsequent chapters illustrate how to predict the three-dimensional structure of a protein. The book concludes with a discussion of the future of bioinformatics.
Even though the future will undoubtedly offer new tools for tackling problems, most of the fundamental aspects of bioinformatics will not change. This resource provides the essential information to understand bioinformatics methods, ultimately facilitating in the solution of biological problems.

Emphasizes the core principles behind the methods of bioinformatics
Discusses the limitations and range of applicability of each methodology
Presents material on proteomics not found in other basic bioinformatics texts
Includes problems, references to historical and key articles, and pointers to useful Internet sites
Provides a solution manual with qualifying course adoptions

The Data: Storage and Retrieval
Genome Sequence Analysis
Protein Evolution
Similarity Searches in Databases
Amino Acid Sequence Analysis
Prediction of the Three-Dimensional Structure of a Protein
Homology Modeling
Fold Recognition Methods
New Fold Modeling
The “Omics” Universe
Useful Web Sites
Index.

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