Processing and Analysis of RNA-seq Data from Public Resources

Yazeed Zoabi, Noam Shomron*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

13 Scopus citations

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.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages81-94
Number of pages14
DOIs
StatePublished - 2021

Publication series

NameMethods in Molecular Biology
Volume2243
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • Databases
  • Differential expression analysis
  • GTEx
  • Genomics
  • NGS
  • RNA sequencing
  • RNA-seq
  • TCGA

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