| Literature DB >> 30222249 |
Fei Ji1,2, Ruslan I Sadreyev1,3.
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.Entities:
Keywords: RNA-seq; bioinformatics; differentially expressed genes; quantitative analysis of gene expression
Mesh:
Year: 2018 PMID: 30222249 PMCID: PMC6168365 DOI: 10.1002/cpmb.68
Source DB: PubMed Journal: Curr Protoc Mol Biol ISSN: 1934-3647