Dna Microarrays Gene Expression Applications
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DNA Microarrays: Gene Expression Applications
Author: B.R. Jordan
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-12-01
This complete and practical manual on expression measurement using DNA arrays covers the existing methods (from nylon macroarrays to oligonucleotide chips) and includes detailed protocols. It has been written by practising scientists who have experienced the difficulties involved in actually using microarrays, and provides helpful advice and hints on setting up these powerful but sometimes tricky methods. Software, data mining procedures and probable future developments, which should be useful to any practising scientist interested in expression measurement, are also covered in this book. It also provides detailed protocols as well as many helpful hints to achieve experimental success and to avoid pitfalls.
Microarray Technology Through Applications
Author: Francesco Falciani
language: en
Publisher: Garland Science
Release Date: 2007-06-30
Microarray Technology Through Applications provides the reader with an understanding, from an applications perspective, of the diverse range of concepts required to master the experimental and data analysis aspects of microarray technology. The first chapter is a concise introduction to the technology and provides the theoretical background required to understand the subsequent sections. The following chapters are a series of case studies representative of the most general and important applications of microarray technology, including CGH, analysis of gene expression, SNP arrays and protein arrays. The case studies are written by experts in the field and describe prototypic projects, indicating how to generalize the approach to similar studies. There are detailed step-by-step protocols describing the specific experimental and data analysis protocols mentioned in the case study section. There is also information on printing glass DNA microarray slides and data interpretation. Colour figures and data sets are provided on the website at http://www.garlandscience.com/9780415378536
A Practical Approach to Microarray Data Analysis
Author: Daniel P. Berrar
language: en
Publisher: Springer Science & Business Media
Release Date: 2002-12-31
In the past several years, DNA microarray technology has attracted tremendous interest in both the scientific community and in industry. With its ability to simultaneously measure the activity and interactions of thousands of genes, this modern technology promises unprecedented new insights into mechanisms of living systems. Currently, the primary applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns, identification of genes whose expression patterns are highly differentiating with respect to a set of discerned biological entities (e.g., tumor types), and the study of gene activity patterns under various stress conditions (e.g., chemical treatment). More recently, the discovery, modeling, and simulation of regulatory gene networks, and the mapping of expression data to metabolic pathways and chromosome locations have been added to the list of scientific tasks that are being tackled by microarray technology. Each scientific task corresponds to one or more so-called data analysis tasks. Different types of scientific questions require different sets of data analytical techniques. Broadly speaking, there are two classes of elementary data analysis tasks, predictive modeling and pattern-detection. Predictive modeling tasks are concerned with learning a classification or estimation function, whereas pattern-detection methods screen the available data for interesting, previously unknown regularities or relationships.