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Improving gene set enrichment analysis (GSEA) by using regulation directionality

B. Wang, F. van der Kloet, M.B.M.J. Kes, J. Luirink, L.W. Hamoen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Measuring the activity of all genes in cells is a common way to elucidate the function and regulation of genes. These transcriptome analyses produce large amounts of data since genomes contain thousands of genes. The analysis of these large data sets is challenging. Therefore, we developed a new software tool called GINtool that can facilitate the analysis of transcriptome data by using prior knowledge of gene sets controlled by the same regulator, the so-called regulons. An important novelty of GINtool is that it can take into account the directionality of gene regulation in these analyses, i.e., whether a gene is activated or repressed, which is crucial to assess whether a regulon or functional category is affected. GINtool also includes new graphical methods to facilitate the visual inspection of regulation events in transcriptome data sets. These and additional analysis methods included in GINtool make it a powerful software tool to analyze transcriptome data.
Original languageEnglish
JournalMicrobiology Spectrum
Volume12
Issue number3
DOIs
Publication statusPublished - 31 Jan 2024
Externally publishedYes

Keywords

  • Bacillus subtilis
  • GSEA
  • functional categories
  • Operon
  • Regulon
  • transcriptome analysis
  • bioinformatics

Research Focus Areas Hanze University of Applied Sciences * (mandatory by Hanze)

  • Healthy Ageing

Research Focus Areas Research Centre or Centre of Expertise * (mandatory by Hanze)

  • Life Sciences
  • Healthcare & Biotechnology
  • Data Science

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