Buch, Englisch, 280 Seiten, Format (B × H): 180 mm x 252 mm, Gewicht: 612 g
Buch, Englisch, 280 Seiten, Format (B × H): 180 mm x 252 mm, Gewicht: 612 g
ISBN: 978-0-521-52587-9
Verlag: Cambridge University Press
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.
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Molekularbiologie
- Naturwissenschaften Biowissenschaften Proteinforschung
- Naturwissenschaften Biowissenschaften Mikrobiologie
- Naturwissenschaften Biowissenschaften Botanik Pflanzenreproduktion, Verbreitung, Genetik
- Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
- Naturwissenschaften Biowissenschaften Tierkunde / Zoologie Tiergenetik, Reproduktion
- Naturwissenschaften Biowissenschaften Biochemische Immunologie
Weitere Infos & Material
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.
