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Microarray Bioinformatics
Dov Stekel
CUP
November 2003
Paperback 280 pp ISBN 052152587X
£30.00
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Hardback 280pp ISBN | ISBN-13: 9780521819824)
£75.00
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This book is a comprehensive guide to all of the mathematics, statistics and computing you will need to successfully
operate DNA microarray experiments. It is written for researchers, clinicians, laboratory heads and managers,
from both biology and bioinformatics backgrounds, who work with, or who intend to work with microarrays.
The book covers all aspects of microarray bioinformatics, giving you the tools to design arrays and experiments,
to analyze your data, and to share your results with your organisation or with the international community. There
are chapters covering sequence databases, oligonucleotide design, experimental design, image processing,
normalisation, identifying differentially expressed genes, clustering, classification and data standards. The
book is based on the highly successful Microarray Bioinformatics course at Oxford University, and therefore
is ideally suited for teaching the subject at postgraduate or professional level.
- A balanced and comprehensive guide to all microarray bioinformatics, accessible to students from both
biology and bioinformatics backgrounds
- Based on the highly successful microarray bioinformatics course at Oxford University and written
by the course's director, an experienced instructor
- Detailed glossary of terms provided by the Microarray Gene Expression Data Society, who define the standard terms used in the field internationally
- Of relevance to Microarray Bioinformatics, Molecular Biology, Developmental Biology, Bioengineering.
Contents
- 1. Microarrays: making them and using them;
- 2. Sequence databases for microarrays;
- 3. Computer design of oligonucleotide probes;
- 4. Image processing;
- 5. Normalization;
- 6. Measuring and quantifying microarray variability;
- 7. Analysis of differentially expressed genes;
- 8. Analysis of relationships between genes, tissues or treatments;
- 9. Classification of tissues and samples;
- 10. Experimental design;
- 11. Data storage, standards and sharing;
- Appendix A.
- Glossary.
To find similar publications, click on a keyword below:
Cambridge University Press
: Computational biology
: bioinformatics
: cell biology
: microarrays
: statistics
: textbook
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