4. Edition April 2020
648 Pages, Hardcover
Wiley & Sons Ltd
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."
"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 Biology
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.
This new edition features:
* 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.
Section 1: Foundational Technologies
1. Foundational Technologies for Nucleotides\
2. Foundational Technologies for Proteins
3. Statistical Methods for Biologists
4. Basic Programming in Perl (Also Python?)
Section 2: Biological Databases
5. Sequence Databases
6. Integrated Information Retrieval
7. Genomic Databases and Genome Browsers
Section 3: Analysis at the Sequence Level
9. Predictive Methods using DNA Sequences
10. Predictive Methods using RNA Sequences
11. Predictive Methods using Protein Sequences
12. MultipleSequence Alignment
13. Phylogenetic Analysis
14. Comparative Genomics
Section 4: Inferring Relationships
17. Protein Structure Analysis
18. Proteomics/Protein Identification
19. Protein-Protein Interactions
20. Gene andProtein Networks
21. Expression Analysis
24. CellSimulation (advanced topic)
Section 5: (Translational Bioinformatics? Working titleonly)
25. Epigenetics and Non-Coding Regions
26. Population Genetics
27. Genome-Wide Association Studies
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.