ABSTRACT
Genome-wide analysis of gene expression, also known as transcriptomics, is the study of all RNA transcripts in an individual or a population of cells. The description of genetic regulation allows determining which genes are activated, overexpressed, or repressed in a pathological condition. Genome-wide expression studies are relevant because they provide a descriptive map applied to the clinical setting and research applications. This chapter takes a look at essential technologies for Genome-wide expression data extraction: Genome-wide Expression Microarrays, high-throughput RNA-seq, and Single-Cell RNA-seq. For each of these technologies, describe data preprocessing (including normalization and annotation) and analysis types with the most significant impact on genomic studies like principal component analysis, clustering, differential expression, gene regulatory networks, and master regulator analysis.
