Data integration and reproducibility for high-throughput transcriptomics

Int Rev Neurobiol. 2014;116:55-71. doi: 10.1016/B978-0-12-801105-8.00003-5.


The rapid advances in high-throughput transcriptomics allow individual investigators to rapidly and comprehensively interrogate the transcriptome. This phenomenon has placed large volumes of gene expression data in public repositories presenting opportunities for secondary analysis, discovery, and in silico modeling. We focus here on guidelines for best practices for transcriptomics data integration and considerations for reproducibility. In addition, we discuss some considerations for multi-omic and cross-species comparisons.

Keywords: Cross-platform; Data integration; High-throughput; Microarrays; Next-generation sequencing; Reproducibility; Transcriptomics.

Publication types

  • Review

MeSH terms

  • Animals
  • Electronic Data Processing*
  • Gene Expression / physiology*
  • High-Throughput Nucleotide Sequencing*
  • Humans
  • Microarray Analysis
  • RNA / genetics
  • RNA / metabolism
  • Reproducibility of Results
  • Transcriptome / physiology*


  • RNA