GORBI: Gene Ontology at Rudjer Boskovic Institute

GORBI contains millions of predicted gene functions for >900 Bacteria and Archaea. You can search the database by the genome of interest, or by a particular Gene Ontology category, or by individual genes.

GORBI examines presence/absence patterns of gene orthologs and paralogs across prokaryotic genomes. We use machine learning to accurately infer new GO annotations for genes.

1.3 million annotations were made at a stringent FDR<10%. We validated 38 predictions experimentally in E. coli, suggesting that our confidence estimates are correct.

Query by Gene Ontology: example #1, tRNA aminoacylation for protein translation #2, ATP-binding cassette (ABC) transporter complex #3 metal cluster binding
... or just start typing for a drop-down menu:

Browse Gene Ontology

Query by organism: E. coli, Escherichia coli K-12 B. subtilis, Bacillus subtilis subsp. subtilis 168 P. aeruginosa, Pseudomonas aeruginosa PA01
S. pneumoniae, Streptococcus pneumoniae TIGR4 H. pylori Helicobacter pylori ATCC 700392 ... or >900 others:

Browse the taxonomy
note: GORBI version 2015 currently shows predictions only for 17 common Bacteria and Archaea. More microbes are coming soon!

Query by gene/protein: example #1, #2, #3
GORBI understands a variety of protein identifiers and Entrez GeneIDs. Just start typing for a drop down menu.

Required precision

With higher precision, we expect a higher fraction of true predictions in the results. "Highest," "high," and "moderate" denote precision greater than or equal to 90%, 70%, and 50%, respectively.
Exclude very broad GO terms (recommended)

If you found GORBI useful in your work, please cite:

Škunca N, Bošnjak M, Kriško A, Panov P, Džeroski S, Šmuc T, Supek F (2013) Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships. PLoS Comput Biol 9(1): e1002852. doi:10.1371/journal.pcbi.1002852

••• The newest datasets from Vidulin et al. Bioinformatics 2016 (under review) are available here. They include annotations of 1,227 Gene Ontology terms to >5,000,000 genes in 2,071 microbial genomes predicted using five orthogonal genome-based methodologies. •••