Genealyzer

Genealyzer analyzes and compares microarray gene expression datasets to identify differential expression and perform Gene Ontology (GO) enrichment across Affymetrix and Agilent platforms.


Key Features:

  • Technology-agnostic analysis: Supports Affymetrix, one-channel Agilent, and two-channel Agilent microarray datasets for cross-platform analysis.
  • Cross-technology and cross-organism comparison: Enables comparison of results from disparate microarray technologies and different organisms to support reproducibility and meta-analysis.
  • Differential gene expression analysis: Provides tools to detect genes differentially expressed between conditions or treatments.
  • Gene Ontology (GO) enrichment analysis: Performs GO enrichment to identify overrepresented functional categories among gene sets.
  • Visualization tools: Produces plots accompanying analytical steps to aid interpretation of results.
  • Access to large microarray repositories: Integrates with extensive microarray data repositories for expanded comparative analyses.

Scientific Applications:

  • Drug development: Supports identification of candidate genes and pathways relevant to drug discovery through differential expression and enrichment analyses.
  • Functional genomics: Facilitates characterization of gene function and regulatory responses via expression profiling and GO analysis.
  • Systems biology: Enables systems-level interpretation of expression data by integrating differential expression and functional enrichment results.
  • Reproducibility and retrospective analyses: Supports reproducibility studies and retrospective/meta-analyses by comparing datasets across technologies and organisms.

Methodology:

Differential gene expression analysis; Gene Ontology (GO) enrichment analysis; and comparison of multiple analysis results.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
11/30/2023
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Essential dynamics

Publications

Lietz K, Saremi B, Wiese L. Genealyzer: web application for the analysis and comparison of gene expression data. BMC Bioinformatics. 2023;24(1). doi:10.1186/s12859-023-05266-4. PMID:37069540. PMCID:PMC10111666.

PMID: 37069540
Funding: - Fraunhofer-Gesellschaft: Attract 042-601000