This comprehensive textbook presents a self-contained guide to bioinformatics, defined in its broadest sense as the application of information science to biology. Thoroughly updated and greatly expanded, this third edition now includes material on the growing array of "-omics"; covering metagenomics, toxicogenomics, glycomics, lipidomics, microbiomics and phenomics. New chapters have also been added on ecosystems management and the nervous system. Emphasis is placed on providing both a firm grounding in the core concepts and a clear overview of the complete field of bioinformatics.
Features: explains the fundamentals of information science relevant to biology; covers both organismal (ontogeny and phylogeny, as well as genome structure) and molecular aspects; examines the most important practical applications of bioinformatics, providing detailed descriptions of both the experimental process and the data analysis; provides a varied selection of problems throughout Bioinformatics: An Introduction, to stimulate further thinking.
"The book gives short introductions to many topics, providing an overview of the field and leading readers to pursue specific areas as necessary. It can serve as an excellent supplement to a textbook used in bioinformatics or computational biology courses. The audience is advanced students with backgrounds in fields associated with bioinformatics, such as genetics, biostatistics, and computer science. Summing Up: Recommended. Upper-division undergraduates and graduate students."
– M. C. Pavao, Choice, Vol. 53 (11), July, 2016
Review of the second edition
"This book is a self-contained guide to bioinformatics that targets undergraduates interested in this field. Bioinformatics is an interdisciplinary field that involves computer science, engineering, biology, and medicine. This book covers the basics of these areas, so readers will acquaint themselves with the fundamental building blocks of bioinformatics. [...] In short, this book is a wonderful text for entry-level students."
– Hsun-Hsien Chang, ACM Computing Reviews, June, 2009
Part I: Information
- The Nature of Information
- The Transmission of Information
- Sets and Combinatorics
- Probability and Likelihood
- Randomness and Complexity
- Systems, Networks and Circuits
Part II: Biology
- Introduction to Part II
- The Nature of Living Things
- The Molecules of Life
Part III: Applications
- Introduction to Part III
- The Glycome, Lipidome and Microbiome
- The Nervous System
- Metabolomics and Metabonomics
- Medical Applications
- Ecosystems Management
- The Organization of Knowledge
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Dr Jeremy Ramsden is a Professor of Nanotechnology in the Clore Laboratory at the University of Buckingham, UK.