Microarray bioinformatics / Dov Stekel.

Stekel, Dov, 1971-
Call Number
572.8/636
Author
Stekel, Dov, 1971- author.
Title
Microarray bioinformatics / Dov Stekel.
Physical Description
1 online resource (xiv, 263 pages) : digital, PDF file(s).
Notes
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
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.
Subject
DNA microarrays Mathematics.
DNA microarrays Data processing.
DNA microarrays Statistical methods.
BIOINFORMATICS.
Multimedia
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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.
Notes
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject
DNA microarrays Mathematics.
DNA microarrays Data processing.
DNA microarrays Statistical methods.
BIOINFORMATICS.
Multimedia