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Disease Gene Identification

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Cover of 'Disease Gene Identification'

Table of Contents

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    Book Overview
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    Chapter 1 Technological Issues and Experimental Design of Gene Association Studies
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    Chapter 2 Statistical Issues in Gene Association Studies
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    Chapter 3 Identification of Causal Sequence Variants of Disease in the Next Generation Sequencing Era
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    Chapter 4 Microarray-Based Genome-Wide Association Studies Using Pooled DNA
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    Chapter 5 Medium-Throughput SNP Genotyping Using Mass Spectrometry: Multiplex SNP Genotyping Using the iPLEX® Gold Assay
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    Chapter 6 Targeted SNP Genotyping Using the TaqMan® Assay
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    Chapter 7 Bar-Coded, Multiplexed Sequencing of Targeted DNA Regions Using the Illumina Genome Analyzer
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    Chapter 8 Site-Directed Mutagenesis
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    Chapter 9 Gene Expression Profiling of Tissues and Cell Lines: A Dual-Color Microarray Method
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    Chapter 10 Methods for MicroRNA Microarray Profiling
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    Chapter 11 Allelic Expression Profiling to Dissect Genome-Wide Association Study Signals
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    Chapter 12 Quantitative Polymerase Chain Reaction Using the Comparative C q Method
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    Chapter 13 Genomic Analysis by Oligonucleotide Array Comparative Genomic Hybridization Utilizing Formalin-Fixed, Paraffin-Embedded Tissues
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    Chapter 14 RNA Mapping Protocols: Northern Blot and Amplification of cDNA Ends
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    Chapter 15 High-Content RNA Interference Assay: Analysis of Tau Hyperphosphorylation as a Generic Paradigm
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    Chapter 16 Integrative Systems Biology Approaches to Identify and Prioritize Disease and Drug Candidate Genes
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    Chapter 17 Identification of a Common Variant Affecting Human Episodic Memory Performance Using a Pooled Genome-Wide Association Approach: A Case Study of Disease Gene Identification
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    Chapter 18 RNAi-Based Functional Pharmacogenomics
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    Chapter 19 Genetic Predisposition to β-Thalassemia and Sickle Cell Anemia in Turkey: A Molecular Diagnostic Approach
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    Chapter 20 Erratum to: Genetic Predisposition to β-Thalassemia and Sickle Cell Anemia in Turkey: A Molecular Diagnostic Approach
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Disease Gene Identification
Published by
Humana Press, January 2011
DOI 10.1007/978-1-61737-954-3
978-1-61737-953-6, 978-1-61737-954-3

DiStefano, Johanna K.

Mendeley readers

The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 4 2%
Spain 2 1%
Mexico 2 1%
South Africa 1 <1%
Brazil 1 <1%
Kenya 1 <1%
Argentina 1 <1%
Korea, Republic of 1 <1%
Other 2 1%
Unknown 159 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 21%
Student > Ph. D. Student 37 21%
Student > Bachelor 33 19%
Student > Master 30 17%
Student > Postgraduate 11 6%
Other 20 11%
Unknown 9 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 41%
Biochemistry, Genetics and Molecular Biology 49 28%
Medicine and Dentistry 13 7%
Engineering 7 4%
Immunology and Microbiology 6 3%
Other 16 9%
Unknown 14 8%