Ontologizer is a desktop application for Gene Ontology overrepresentation analysis. It is the third edition of the Ontologizer, following the original 2004 and 2008 Java releases, now rebuilt as a Tauri application with a Rust backend and an Angular frontend.

Two complementary methods are available:

• Statistical Testing (Fisher's exact test) — per-term hypergeometric test with selectable multiple-testing correction (Bonferroni, Bonferroni-Holm, Benjamini-Hochberg, or none).
• Bayesian Inference (MGSA) — model-based gene set analysis that evaluates all terms jointly and returns a posterior probability of activation per term, without needing separate MTC.

Pre-built installers for Windows, macOS, and Linux are published on the Releases page. Pick the bundle for your platform (.msi / .dmg / .AppImage / .deb / .rpm).

1. Files — supply (or download on demand) the Gene Ontology JSON and the species-specific GAF; then your population gene list and your study gene list (plain text, one symbol per line).
2. Method — pick Statistical Testing or Bayesian Inference; choose a multiple-testing correction if frequentist.
3. Results — inspect the summary, sort/search the full table, view the GO subgraph for any aspect, or save the table (CSV) and the figures (PNG).

The in-app Help page covers the file formats, the methods, and the output in more detail.

Please cite the Ontologizer paper and the MGSA paper if you use Bayesian inference. BibTeX entries are available inside the app on the Contact → Citation tab.

• Documentation — methods, datasets, developer notes
• Rust backend (engine) — TfT and MGSA implementations
• Issue tracker

MIT. See LICENSE.