Bioinformatics (4th Edition)

Description

Praise for the third edition of Bioinformatics

“This book is a gem to read and use in practice.”
—Briefings in Bioinformatics

“This volume has a distinctive, special value as it offers an unrivalled level of details and unique expert insights from the leading computational biologists, including the very creators of popular bioinformatics tools.”
—ChemBioChem

“A valuable survey of this fascinating field. . . I found it to be the most useful book on bioinformatics that I have seen and recommend it very highly.”
—American Society for Microbiology News

“This should be on the bookshelf of every molecular biologist.”
—The Quarterly Review of Biolog”

The field of bioinformatics is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today’s biologists are gaining fantastic new insights into the natural world’s most complex systems. These rapidly progressing innovations can, however, be difficult to keep pace with.

The expanded fourth edition of the best-selling Bioinformatics aims to remedy this by providing students and professionals alike with a comprehensive survey of the current field. Revised to reflect recent advances in computational biology, it offers practical instruction on the gathering, analysis, and interpretation of data, as well as explanations of the most powerful algorithms presently used for biological discovery. Bioinformatics, Fourth Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists at all levels, covering both key concepts that have stood the test of time and the new and important developments driving this fast-moving discipline forwards.

New to this Edition

• New chapters on metabolomics, population genetics, metagenomics and microbial community analysis, and translational bioinformatics
• A thorough treatment of statistical methods as applied to biological data
• Special topic boxes and appendices highlighting experimental strategies and advanced concepts
• Annotated reference lists, comprehensive lists of relevant web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics

Bioinformatics is an indispensable companion for researchers, instructors, and students of all levels in molecular biology and computational biology, as well as investigators involved in genomics, clinical research, proteomics, and related fields.

Table of Contents

1. Foreword vii
2. Preface ix
3. Contributors xi
4. About the Companion Website xvii
5. Biological Sequence Databases 1 – Andreas D. Baxevanis
6. Information Retrieval from Biological Databases 19 – Andreas D. Baxevanis
7. Assessing Pairwise Sequence Similarity: BLAST and FASTA 45 – Andreas D. Baxevanis
8. Genome Browsers 79 – Tyra G. Wolfsberg
9. Genome Annotation 117 – David S. Wishart
10. Predictive Methods Using RNA Sequences 155 – Michael F. Sloma, Michael Zuker, and David H. Mathews
11. Predictive Methods Using Protein Sequences 185 – Jonas Reeb, Tatyana Goldberg, Yanay Ofran, and Burkhard Rost
12. Multiple Sequence Alignments 227 – Fabian Sievers, Geoffrey J. Barton, and Desmond G. Higgins
13. Molecular Evolution and Phylogenetic Analysis 251 – Emma J. Griffiths and Fiona S.L. Brinkman
14. Expression Analysis 279 – Marieke L. Kuijjer, Joseph N. Paulson, and John Quackenbush
15. Proteomics and Protein Identification by Mass Spectrometry 315 – Sadhna Phanse and Andrew Emili
16. Protein Structure Prediction and Analysis 363 – David S. Wishart
17. Biological Networks and Pathways 399 – Gary D. Bader
18. Metabolomics 437 – David S. Wishart
19. Population Genetics 481 – Lynn B. Jorde and W. Scott Watkins
20. Metagenomics and Microbial Community Analysis 505 – Robert G. Beiko
21. Translational Bioinformatics 537 – Sean D. Mooney and Stephen J. Mooney
22. Statistical Methods for Biologists 555 – Hunter N.B. Moseley
23. Appendices 583
24. Glossary 591
25. Index 609

Editors Biography

ANDREAS D. BAXEVANIS, PhD, Director of Computational Biology for the National Institutes of Health’s Intramural Research Program and a Senior Scientist leading the Computational Genomics Unit at the NIH’s National Human Genome Research Institute, Bethesda, MD, USA.

GARY D. BADER, PhD, Ontario Research Chair in Biomarkers of Disease and Professor at the Donnelly Centre and the Departments of Molecular Genetics and Computer Science at the University of Toronto, Toronto, ON, Canada.

DAVID S. WISHART, PhD, Distinguished University Professor in the Departments of Biological Sciences and Computing Science at the University of Alberta, Edmonton, AB, Canada.