Bioinformatics : Sequence and Genome Analysis / Edition 2

Bioinformatics : Sequence and Genome Analysis / Edition 2

by David Mount
ISBN-10:
0879697121
ISBN-13:
9780879697129
Pub. Date:
08/16/2004
Publisher:
Cold Spring Harbor Laboratory Press
ISBN-10:
0879697121
ISBN-13:
9780879697129
Pub. Date:
08/16/2004
Publisher:
Cold Spring Harbor Laboratory Press
Bioinformatics : Sequence and Genome Analysis / Edition 2

Bioinformatics : Sequence and Genome Analysis / Edition 2

by David Mount
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Overview

As more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider audience, including advanced undergraduate and graduate students. New features include chapter guides and explanatory information panels and glossary terms. New chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining. Practically oriented problems at the ends of chapters enhance the value of the book as a teaching resource. The book also serves as an essential reference for professionals in molecular biology, pharmaceutical, and genome laboratories.

Product Details

ISBN-13: 9780879697129
Publisher: Cold Spring Harbor Laboratory Press
Publication date: 08/16/2004
Series: Textbook Series
Edition description: Older Edition
Pages: 692
Product dimensions: 11.10(w) x 8.52(h) x 1.33(d)

About the Author

David W. Mount is Professor of Molecular and Cellular Biology, Professor of Biochemistry, and Professor of Ecology and Evolutionary Biology at the University of Arizona in Tucson. His broad-ranging research interests include sequence analysis and genomic databases, mechanisms of genetic recombination and radiation resistance in plants, as well as conservation genetics, molecular ecology, and molecular evolution. His book Bioinformatics: Sequence and Genome Analysis is based on a course he teaches at the University of Arizona.

Table of Contents

Preface
Chapter 1. Historical Introduction and Overview
Chapter 2. Collecting and Storing Sequences in the Laboratory
Chapter 3. Alignment of Pairs of Sequences
Chapter 4. Introduction to Probability and Statistical Analysis of Sequence Alignments
Chapter 5. Multiple Sequence Alignment
Chapter 6. Sequence Database Searching for Similar Sequences
Chapter 7. Phylogenetic Prediction
Chapter 8. Prediction of RNA Secondary Structure
Chapter 9. Gene Prediction and Regulation
Chapter 10. Protein Classification and Structure Prediction
Chapter 11. Genome Analysis
Chapter 12. Bioinformatics Programming Using Perl and Perl Modules
Chapter 13. Analysis of Microarrays
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