Bioinformatics: Sequence and Genome Analysis / Edition 1

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Overview

This book is an ideal foundation for teaching at the undergraduate and graduate levels. It is also highly suited for self-instruction by research investigators interested in applying computational methods of analysis and by information technologists associated with academic and industrial laboratories.

Based on a course given at the University of Arizona, this text is a foundation for the undergraduate and graduate student. Features sequence alignment, structure prediction, database searching, underlying algorithms, examples in simple numerical terms, tables, and web sources.

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Editorial Reviews

Nature Genetics
Bioinformatics is for the biologist who wants to learn more about the fundamentals of DNA sequence analysis. An analogy for the target audience would be readers who want to know the components of an automobile that make it go, rather than seeking information on how to drive from Tucson to Santa Fe, or on the physics of an internal combustion engine. This audience is probably the largest and, until now, the most neglected….The text [in Bioinformatics] is well formatted and easily read, with many figures and tables. Color is used both effectively and densely. The book is worth purchasing if only for the extensive bibliographies at the end of each chapter. Moreover, the quality and level of explanation in each chapter is generally consistent, something that cannot be said for 'compilation' texts….Bioinformatics is an excellent text for the biologist who wants to learn more about the field, and is well worth exploring by the instructor looking to tackle his or her first bioinformatics course.
Booknews
A textbook based on Mount's (U. of Arizona) undergraduate and graduate courses on applying computational methods to the analysis of DNA and protein sequences. Convinced that people who use a computer program should understand how it works, he explains to biologists the underlying algorithms used and assumptions made, as well as limitations of the methods and strategies. Most of the chapters include a flowchart proposing an orderly use of the methods discussed therein. Tables in hyperlinked form identify web sites where software and programming resources are available. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780879696085
  • Publisher: Cold Spring Harbor Laboratory Press
  • Publication date: 3/28/2001
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 560
  • Product dimensions: 8.08 (w) x 11.02 (h) x 1.15 (d)

Meet 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.
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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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