DNA and Protein Sequence Analysis: A Practical Approach

Overview

In recent years, the volume of nucleic acid and protein sequence generated by researchers has become a flood. Sequence databases have proliferated and good software for sequence analysis has become an absolute necessity. DNA and Protein Sequence Analysis: A Practical Approach provides clear and reasoned practical guidance in the analysis of sequence data and identifies the many pitfalls of interpreting data. The book begins with an overview of molecular biology databases and how to use them. The rest of the book ...
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1997 Trade paperback New. No dust jacket as issued. Trade paperback (US). Glued binding. 376 p. Practical Approach (Paperback), 171. Audience: General/trade. BRAND NEW (gift ... quality)! ! Read more Show Less

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Overview

In recent years, the volume of nucleic acid and protein sequence generated by researchers has become a flood. Sequence databases have proliferated and good software for sequence analysis has become an absolute necessity. DNA and Protein Sequence Analysis: A Practical Approach provides clear and reasoned practical guidance in the analysis of sequence data and identifies the many pitfalls of interpreting data. The book begins with an overview of molecular biology databases and how to use them. The rest of the book is devoted to a critical appraisal of the software for sequence analysis, what software is available, and how to use it. DNA and Protein Sequence Analysis: A Practical Approach is an essential manual for all researchers in molecular biology and a valuable guide for advanced undergraduates. It will also be indispensable to computer scientists interested in bioinformatics.

The book contains predominantly black-and-white illustrations, with some color illustrations.

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Editorial Reviews

Philip M. Sass
This well-thought-out and well-written book covers the complex and constantly changing field of molecular databases. The purpose is to provide a sourcebook of molecular biology databases and to demonstrate some conclusions that can be drawn from analyzing sequence information. It is written for any biologist who wishes to access DNA sequence information to study structure/function or evolutionary relationships. The book is directed at the molecular biology researcher as well as at other biologists who wish to access this information. The book contains a thorough introduction to the core problem: the bewildering number of databases and sequence information they contain, which is growing exponentially. Next, the book describes several software tools, such as Entrez, Blast, and dbEST. A description of how to access the NCBI database, which contains a wealth of information, including GenBank, is included. This book also contains several very good chapters on DNA sequencing methodology software and an excellent chapter on molecular biology software for Macintosh. Finally, a series of chapters illustrate, with specific examples, how to access and find specific databases to predict mRNA sequence structure, find specific DNA or protein motifs in a DNA or protein of interest, and determine function and evolutionary relationships among families of related proteins. These chapters will appeal particularly to those scientists interested in using database information to study a particular aspect of their gene of interest. I would highly recommend this book to libraries as a resource book and to scientists who need to access molecular biology databases.
Doody's Review Service
Reviewer: Philip M. Sass, PhD (University of Illinois at Chicago College of Medicine)
Description: This well-thought-out and well-written book covers the complex and constantly changing field of molecular databases.
Purpose: The purpose is to provide a sourcebook of molecular biology databases and to demonstrate some conclusions that can be drawn from analyzing sequence information.
Audience: It is written for any biologist who wishes to access DNA sequence information to study structure/function or evolutionary relationships. The book is directed at the molecular biology researcher as well as at other biologists who wish to access this information.
Features: The book contains a thorough introduction to the core problem: the bewildering number of databases and sequence information they contain, which is growing exponentially. Next, the book describes several software tools, such as Entrez, Blast, and dbEST. A description of how to access the NCBI database, which contains a wealth of information, including GenBank, is included. This book also contains several very good chapters on DNA sequencing methodology software and an excellent chapter on molecular biology software for Macintosh. Finally, a series of chapters illustrate, with specific examples, how to access and find specific databases to predict mRNA sequence structure, find specific DNA or protein motifs in a DNA or protein of interest, and determine function and evolutionary relationships among families of related proteins. These chapters will appeal particularly to those scientists interested in using database information to study a particular aspect of their gene of interest.
Assessment: I would highly recommend this book to libraries as a resource book and to scientists who need to access molecular biology databases.

4 Stars! from Doody
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Product Details

  • ISBN-13: 9780199634637
  • Publisher: Oxford University Press, USA
  • Publication date: 1/30/1997
  • Series: Practical Approach Series , #171
  • Edition number: 1
  • Pages: 376
  • Product dimensions: 6.19 (w) x 9.25 (h) x 0.75 (d)

Table of Contents

List of contributors
Abbreviations
1 Molecular biology databases 1
2 The NCBI software tools 31
3 EBI databases and tools 45
4 Networked services 59
5 DNA sequencing methodology and software 75
6 Molecular biology software for the Apple Macintosh 99
7 Sequence comparison and alignment 137
8 Simple sequences of protein and DNA 169
9 Repetitive sequences in DNA 185
10 Isochores and synonymous substitutions in mammalian genes 197
11 Identifying genes in genomic DNA sequences 209
12 Prediction of mRNA sequence function 225
13 Forecasting protein function 231
14 DNA and RNA structure prediction 255
15 Phylogenetic estimation 279
16 Evolution and relationships of protein families 313
A1. List of suppliers 341
Glossary 343
Index 349
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