Introduces the reader to the different types of DNA microarrays and their various applications. This book also describes several data analysis methods. It is written for scientists who are entering the field of DNA microarrays, as well as for those already familiar with the technology, but interested in other applications and methods.
1 Introduction: DNA Microarrays -- Ten Years Old, But No Old Hat. 2.1 cDNA Microarray Analysis And Its Role In Toxicology - A Case Study. 2.2 Gene Expression Profiling In Plants Using cDNA Microarrays. 2.3 Identification Of Gene Expression Patterns For A Molecular Diagnosis Of Kidney Tumors. 2.4 Gene Expression Analysis Of Differentiating Neural Progenitor Cells -- A Time Course Study. 3.1 A Microarray-Based Screening Method For Known And Novel SNPs. 3.2 From Gene Chips To Disease Chips -- New Approach In Molecular Diagnosis Of Eye Diseases. 3.3 Multiplexed SNP Genotyping Using An Allele-Specific Primer Extension. 3.4 Profiling The Arabidopsis Transcriptome. 3.5 Affymetrix GeneChip Analyses -- The Impact Of RNA Quality. 4.1 Molecular Karyotyping By Means Of Array CGH: Linking Gene Dosage Alterations To Disease Phenotypes. 4.2 DNA Microarrays: Analysis Of Chromosomes And Their Aberrations. 4.3 Mapping Transcription Factor Binding Sites Using ChIP Chip - general considerations. 4.4 ChIP-On-Chip: Searching For Novel Transcription Factor Targets. 5.1 Turning Photons Into Results: Principles Of Fluorescent Microarray Scanning. 5.2 "Title" 6.1 Normalization Strategies For Microarray Data Analysis. 6.2 Data Analysis: Differential Gene Expression. 6.3 Clustering And Classification Methods For Gene Expression Data Analysis. 6.4 Statistical Analysis Of Microarray Time Course Data. 6.5 Array CGH Data Analysis. 6.6. MIAME
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