Data integration and reproducibility for high-throughput transcriptomics

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)55-71
Number of pages17
JournalInternational Review of Neurobiology
Volume116
DOIs
StatePublished - 2014

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Transcriptome
Practice Guidelines
Computer Simulation
Research Personnel
Guidelines
Gene Expression

Keywords

  • Cross-platform
  • Data integration
  • High-throughput
  • Microarrays
  • Next-generation sequencing
  • Reproducibility
  • Transcriptomics

ASJC Scopus subject areas

  • Clinical Neurology
  • Cellular and Molecular Neuroscience
  • Medicine(all)

Cite this

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title = "Data integration and reproducibility for high-throughput transcriptomics",
abstract = "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",
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KW - High-throughput

KW - Microarrays

KW - Next-generation sequencing

KW - Reproducibility

KW - Transcriptomics

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