RNA-seq: Basic Bioinformatics Analysis

Curr Protoc Mol Biol. 2018 Oct;124(1):e68. doi: 10.1002/cpmb.68. Epub 2018 Sep 17.

Abstract

Quantitative analysis of gene expression is crucial for understanding the molecular mechanisms underlying genome regulation. RNA-seq is a powerful platform for comprehensive investigation of the transcriptome. In this unit, we present a general bioinformatics workflow for the quantitative analysis of RNA-seq data and describe a few current publicly available computational tools applicable at various steps of this workflow. These tools comprise a pipeline for quality assessment and quantitation of RNA-seq data that starts from raw sequencing files and is focused on the identification and analysis of genes that are differentially expressed between biological conditions. © 2018 by John Wiley & Sons, Inc.

Keywords: RNA-seq; bioinformatics; differentially expressed genes; quantitative analysis of gene expression.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Computational Biology / methods*
  • Gene Expression Profiling*
  • Sequence Analysis, RNA / methods*
  • Software