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Bioinformatics, the application of computers in biological sciences and especially analysis of biological sequence data, is becoming an essential tool in molecular biology as genome projects generate vast quantities of data. With new sequences being added to DNA databases, on average, once a minute, there is a pressing need to convert this information into biochemical and biophysical knowledge by deciphering the structural, functional and evolutionary clues encoded in the language of biological sequences.
The unique combination of this timely text and its linked World Wide Web site provide an ideal guide to bioinformatics for newcomers to the field, focusing on two key areas; genomic and protein sequence analysis. The text begins by introducing the most popular databases (protein and nucleic acid), information resources and analysis methods (sequence alignment and pattern recognition) currently available providing the basis for readers to progress to hands-on practical sequence analysis. Chapter 9 then provides a tutorial directly linked to a real application, in the form of an internationally acclaimed interactive bioinformatics practical on the World Wide Web.
The authors aim to encourage a thoughtful approach to sequence analysis and emphasise underlying concepts since, in this rapidly developing area, the specifics will change very quickly.
*Includes numerous Further Reading suggestions, Web references and a useful Glossary
Dr Teresa K Attwood is a Royal Society University Research fellow and Senior Lecturer in the School of Biological Sciences, University of Manchester, UK, Visiting Fellow at the European Bioinformatics Institute and author and curator of the PRINTS protein fingerprint database.
Dr David J Parry-Smith is Informatics Director at Cambridge Drug Discovery Limited, Cambridge, UK, with main interests in algorithm development
Introduction to Bioinformatics provides an undergraduate (final year) and MSc level introduction to bioinformatics but will be helpful to beginners at all stages, whether in academia or industry.
2. Information Networks.
3. Protein Information Resources.
4. Genome Information Resources.
5. DNA Sequence Analysis.
6. Pairwise Alignment Techniques.
7. Multiple Sequence Analysis.
8. Secondary Database Searching.
9. Building a Sequence Search Protocol.
10. Analysis Packages.