Bioinformatics
Sequence and Genome Analysis, Second Edition
Welcome to the Web site that will accompany Bioinformatics: Sequence and Genome Analysis, Second Edition. The complete Web site will become available for use for the Fall semester and will be freely available to all Web users. To purchase the book, click here.
ABOUT THIS WEB SITE
The bioinformaticsonline.org Web site augments the content of Bioinformatics: Sequence and Genome Analysis, Second Edition. Users of this site can:
- access Web sites mentioned in the book from hyperlinked versions of the relevant tables
- access BioPerl, Perl, and R script programs described in the book
- receive announcements about updates and additions
ABOUT THIS BOOK
Computational analysis of the data generated by genome sequencing, proteomics, and array-based technologies is critically important. The second edition of Bioinformatics: Sequence and Genome Analysis provides comprehensive instruction in computational methods for analyzing DNA, RNA, and protein data, with explanations of the underlying algorithms, the advantages and limitations of each method, and strategies for their application to biological problems.
The previous edition of this textbook, based on the pioneering couse given at the University of Arizona by the author, David W. Mount, was the first to be widely adopted for course use around the world. The second edition has been extensively revised, with guidance provided by experienced instructors, to maximize its value for both undergraduate and graduate level teaching.
NEW IN THIS EDITION OF THE BOOK
Chapter updates and revisions: Chapters covering sequence alignment, structure prediction, phylogenetic and gene prediction, database searching, and genome analysis have been updated and rewritten for clarity and accessibility.
Additional chapters: New chapters have been added on programming for bioinformatics using Perl and BioPerl modules and on statistical analysis of microarrays.
Enhanced online support: Additional material is available on this Web site, freely accessible to all.
New and improved assistance for teaching: New features that enhance the book's value for both instructors and students include:
- Concise introductions: brief explanations of background and context for each chapter
- What should be learned in this chapter: summaries of the essential concepts and skills a student should absorb from each chapter
- Glossary terms: definitions of the specialized vocabulary used in each chapter
- Problem sets: insightful questions instructors can use to test students' understanding of the concepts and skills emphasized in each chapter
- Practical examples: descriptions of the application of computational methods to real-world investigations of biological problems
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 information technologists associated with academic and industrial laboratories.
ABOUT THE AUTHOR
David W. Mount is Professor of Molecular and Cellular Biology and Director of Bioinformatics at the Arizona Cancer and the Southwest Environmental Sciences Center at the University of Arizona. In addition to bioinformatics research, he also has laboratory experience in genetics, molecular biology, and evolutionary biology. Bioinformatics: Sequence and Genome Analysis, Second Edition, is based on a course he teaches at the University of Arizona and on his research at the University of Arizona.
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