Disease Gene Identification (eBook, PDF)

Methods and Protocols
Redaktion: DiStefano, Johanna K.

• Format: PDF

Produktbeschreibung

Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 400
• Erscheinungstermin: 8. Februar 2018
• Englisch
• ISBN-13: 9781493974719
• Artikelnr.: 64701157

Inhaltsangabe

Identification of Disease Susceptibility Alleles in the Next Generation Sequencing Era.- Induced Pluripotent Stem Cells in Disease Modeling and Gene Identification.- Development of Targeted Therapies Based on Gene Modification.- What can we Learn about Human Disease from the Nematode C. elegans?.- Microbiome Sequencing Methods for Studying Human Diseases.- The Emerging Role of Long Noncoding RNAs in Human Disease.- Identification of Disease-related Genes using a Genome-wide Association Study Approach.- Whole Genome Library Construction for Next Generation Sequencing.- Whole Exome Library Construction for Next Generation Sequencing.- Optimized Methodology for the Generation of RNA-sequencing Libraries from Low-input Starting Material: Enabling Analysis of Specialized Cell Types and Clinical Samples.- Using C1 to Generate Single-cell Full-length cDNA Libraries for mRNA Sequencing.- MiSeq: A Next Generation Sequencing Platform for Genomic Analysis.- Methods for CpG Methylation Array Profiling via Bisulfite Conversion.- miRNA Quantification Method using Quantitative Polymerase Chain Reaction in Conjunction with the Cq Method.- Lentiviral--mediated CRISPR--cas9 Gene Editing of Primary Human Airway Epithelial Cells.- RNA Interference to Knockdown Gene Expression.- Using Luciferase Reporter Assays to Identify Functional Variants at Disease-associated Loci.- Physiologic Interpretation of GWAS Signals for type 2 Diabetes.- Identification of Genes for Hereditary Hemochromatosis.- Identification of Driver Mutations in Rare Cancers: The Role of SMARCA4 in Small Cell Carcinoma of the Ovary, Hypercalcemic Type (SCCOHT).- The Rise and Fall and Rise of Linkage Analysis as a Technique for Finding and Characterizing Inherited Influences on Disease Expression.