Bioinformatics : sequence and genome analysis

Author(s)

Bibliographic Information

Bioinformatics : sequence and genome analysis

David W. Mount

Cold Spring Harbor Laboratory Press, c2004

2nd ed

  • : hbk
  • : pbk

Available at  / 66 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Volume

: hbk ISBN 9780879696870

Description

This second edition of Bioinformatics: Sequence and Genome Analysis provides a comprehensive overview and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data as well as entire genomes. The book has been completey revised, redesigned for increased accessibility and to further aid learning, and updated with three completely new chapters. It is now more student-friendly than ever and will build on the adoption success of the first edition.

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 Statistical Analysis of Sequence Alignments Chapter 5 Multiple Sequence Alignment Chapter 6 Database Searching for Similar Sequences Chapter 7 Phylogenetic Prediction Chapter 8 Prediction of RNA Secondary Structure Chapter 9 Gene Prediction Chapter 10 Protein Classification and Structure Prediction. Chapter 11 Genome Analysis Chapter 12 Computer Programming for Bioinformatics Chapter 13 Data Management and Mining for Biology, Medicine, and Agriculture
Volume

: pbk ISBN 9780879697129

Description

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.

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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