GORBI: Gene Ontology at Rudjer Boskovic Institute

GORBI presents the results of a novel model for computational assignment of gene function. The model's estimates of accuracy agreed with experimental assays, indicating that the results can be used to guide the selection of candidates for experimental validation.

Query Gene Ontology: example #1, tRNA aminoacylation for protein translation #2, ATP-binding cassette (ABC) transporter complex #3 metal cluster binding

Click to browse Gene Ontology

Query organism: example #1, Escherichia coli K-12 #2, Staphylococcus aureus subsp. aureus NCTC 8325 #3, Pseudomonas aeruginosa UCBPP-PA14 #4, Streptococcus pneumoniae R6 #5, Mycobacterium tuberculosis H37Ra #6 Listeria monocytogenes serotype 4b str. F2365

Click to browse the taxonomy

Query protein: example #1, #2, #3
GORBI understands a variety of protein identifiers. You can search using an exact Entrez Gene ID if you know it, or 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 the following reference:

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