Processing and Analysis of RNA-seq Data from Public Resources

Methods Mol Biol. 2021:2243:81-94. doi: 10.1007/978-1-0716-1103-6_4.

Abstract

Advances in next generation sequencing (NGS) technologies resulted in a broad array of large-scale gene expression studies and an unprecedented volume of whole messenger RNA (mRNA) sequencing data, or the transcriptome (also known as RNA sequencing, or RNA-seq). These include the Genotype Tissue Expression project (GTEx) and The Cancer Genome Atlas (TCGA), among others. Here we cover some of the commonly used datasets, provide an overview on how to begin the analysis pipeline, and how to explore and interpret the data provided by these publicly available resources.

Keywords: Databases; Differential expression analysis; GTEx; Genomics; NGS; RNA sequencing; RNA-seq; TCGA.

Publication types

  • Review

MeSH terms

  • Databases, Genetic
  • High-Throughput Nucleotide Sequencing / methods
  • Humans
  • RNA, Messenger / genetics
  • RNA-Seq / methods*
  • Sequence Analysis, RNA / methods*
  • Transcriptome / genetics

Substances

  • RNA, Messenger