Raghavachari N., Garcia-Reyero N. (Eds.) Gene Expression Analysis: Methods and Protocols

Springer, 2018. — 387 p. — (Methods in Molecular Biology 1783). — ISBN: 1493978330.This volume provides experimental and bioinformatics approaches related to different aspects of gene expression analysis. Divided in three sections chapters detail wet-lab protocols, bioinformatics approaches, single-cell gene expression, highly multiplexed amplicon sequencing, multi-omics techniques, and targeted sequencing. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Gene Expression Analysis: Methods and Protocols aims provide useful information to researchers worldwide.Overview of Gene Expression Analysis: Transcriptomics
RNA-Seq and Expression Arrays: Selection Guidelines for Genome-Wide Expression Profiling
A Guide for Designing and Analyzing RNA-Seq Data
SureSelectXT 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 nCounter 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 Toward 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