The Gene Ontology Consortium is a major initiative to provide a controlled hierarchical vocabulary of
terms for describing genes and their encoded products in terms of their Molecular functions; Biological processes and Cellular compartments.
A Gene Ontology (GO) over-representation analysis (ORA) examines a gene/protein list for the occurrence of GO annotation terms which
are more prevalent in the dataset than expected by chance.
Annotations that occur more frequently than expected in a gene list can be identified, and may point towards a biological process or
pathway that is being differentially regulated in the condition of interest.
In InnateDB, GO annotation is supplemented by enhanced annotation about which genes have a published role in innate immunity.
For further information on this enhanced innate immunity annotation please click
here.
To do a GO Analysis, first upload a tab-delimited text file or Excel spreadsheet (.xls files only) of gene/protein identifiers (human, mouse or cow only) and any associated quantitative data (e.g. gene expression data fold-changes and p-values) from up to 10 conditions/time-points. Please see our help page if you are unsure how to do this and to see what IDs are accepted.
Once you have a list of gene annotations associated with your gene/protein list - click on the red "Gene Ontology ORA" button at the top of the page.
If you use InnateDB for your research, please cite the following publication:
InnateDB is being developed jointly by the Brinkman Laboratory (Simon Fraser University, British Columbia, Canada), the Hancock Laboratory (University of British Columbia, Vancouver, British Columbia) and the Lynn EMBL Australia Group (South Australian Health & Medical Research Institute and Flinders University, Adelaide, Australia).
Funding is currently provided by Allergen and EMBL Australia. Previous funding has been provided by Genome Canada, the Foundation for the National Institutes of Health through the Grand Challenges in Global Health initiative and by Teagasc. InnateDB curated interactions are licensed under the Design Science License. All other data is licensed under the terms of the originating database. Contact: innatedb-mail@sfu.ca