GOEAST

GOEAST performs Gene Ontology (GO) enrichment analysis to identify statistically overrepresented GO terms in gene sets for functional interpretation of genomic and transcriptomic data.

Key Features:

• Graphical Representation: Displays enriched GO terms as graphical hierarchies organized by the three GO categories: biological process, molecular function, and cellular component.
• Versatile Data Compatibility: Supports probe or probe set IDs from microarray platforms such as Affymetrix, Illumina, Agilent, and customized arrays, and accepts various gene identifiers.
• Multi-Species Support: Supports approximately 60 prokaryotic and eukaryotic organisms for cross-species analyses.
• Cross-Experiment Comparison: Performs cross-comparison of GO enrichment status across multiple experiments to identify functional correlations between datasets.
• Statistical Rigor: Incorporates statistical tests to assess significance and reliability of identified GO term enrichments.

Scientific Applications:

• Functional Genomics and Transcriptomics: Identifies statistically overrepresented GO terms in gene sets from genomic and transcriptomic studies to support functional interpretation.
• Comparative and Cross-Species Analysis: Enables comparative GO analyses across datasets and across approximately 60 species to detect conserved or divergent functional signals.
• Multi-Experiment Integration: Facilitates detection of functional correlations across multiple experiments through cross-comparison of enrichment results.

Methodology:

Employs statistical methods to identify significantly enriched GO terms in input gene sets, organizes enriched terms hierarchically, and enables cross-experiment comparisons of enrichment status.