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Microarray Bioinformaics

By: Material type: TextTextPublication details: New York: Cambridge University Press, c2003.Description: 263ISBN:
  • 9780521670500
Subject(s): DDC classification:
  • 572.8/636 STE-M
Summary: 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.
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8/636 STE-M (Browse shelf(Opens below)) Available DCB217
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8/636 STE-M (Browse shelf(Opens below)) Available DCB218
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8/636 STE-M (Browse shelf(Opens below)) Available DCB219
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8/636 STE-M (Browse shelf(Opens below)) Available DCB220
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8/636 STE-M (Browse shelf(Opens below)) Available DCB221
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8/636 STE-M (Browse shelf(Opens below)) Available DCB222
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8/636 STE-M (Browse shelf(Opens below)) Available DCB223
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8/636 STE-M (Browse shelf(Opens below)) Available DCB224
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.8/636 STE-M (Browse shelf(Opens below)) Available DCB177
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572.8/636 STE-M Microarray Bioinformaics 572.8/636 STE-M Microarray Bioinformaics 572.8/636 STE-M Microarray Bioinformaics 572.8/636 STE-M Microarray Bioinformaics 572.8/636 STE-M Microarray Bioinformaics 572.8/636 STE-M Microarray Bioinformaics 572.8 ABD-B Bioinformatics 2

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.

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