Includes cutting-edge methods an protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

Overview of Gene Expression Analysis - Transcriptomics.- RNA-Seq and Expression Arrays: Selection Guidelines for Genome-wide Expression Profiling.- A Guide for Designing and Analysing RNA-Seq Data.- SureSelect
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RNA Direct: A Technique for Expression Analysis Through Sequencing of Target-enriched FFPE total RNA.- Simultaneous, Multiplexed Detection of RNA and Protein on the NanoString
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nCounter
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Platform.- Transcript Profiling Using Long-read Sequencing Technologies.- Making and Sequencing Heavily-Multiplexed, High-throughput 16S Ribosomal RNA Gene Amplicon Libraries Using a Flexible, Two-stage PCR PROTOCOL .- microRNA Expression Analysis - Next Generation Sequencing.- Identification of Transcriptional Regulators that Bind to Long Noncoding RNAs by RNA Pull Down and RNA Immunoprecipitation.- Single-cell mRNA-Seq using the Fluidigm C1 System and Integrated Fluidics Circuits.- Current and Future Methods for mRNA Analysis: A Drive Towards Single Molecule Sequencing.- Expression Profiling of Differentially Regulated Genes in Fanconi Anemia.- A Review of Transcriptome Analysis in Pulmonary Vascular Diseases.- Differential Gene Expression Analysis of Plants.- High Throughput Sequencing Based Approaches for Gene Expression Analysis.- Network Analysis of Gene Expression.- Analysis of ChIP-Seq and RNA-Seq data with BioWardrobe.- Bayesian Network to Infer Drug-induced Apoptosis Circuits from Connectivity Map Data.