GO Immunology: Introduction to GO Annotation
A Rough Guide to GO Annotation
In simple terms, a GO annotation is the manual or electronic association of a GO term representing a biological process, cellular component, or molecular function term with a gene product. The evidence for the association is captured by recording the reference, and the nature of the evidence is classified using a code from the GO evidence code set. Every GO annotation created by the GO Consortium follows strict annotation guidelines; see the GO annotation guide for more information.
At present, many of the immune gene GO annotations are to high level (i.e. rather general) GO terms. Many have been generated electronically and carry the inferred from electronic annotation (IEA) evidence code. You can read more about these electronic techniques in Camon et al., 2004. Although electronic annotations are an efficient way of assigning GO terms, manual deep level GO annotations using experimental GO evidence codes, such as inferred from direct assay or inferred from genetic interaction, are far more reliable.
It is manual annotation that this project will focus on. Pending funding in March 2008, a team of curators skilled in both GO curation and immunology plan to manually and comprehensively annotate the experimental literature associated with the list of immune relevant genes available via the community annotation wiki.
For example of a manually annotated gene, please see human BCL10.
Recommended reading
The following article explains how the representation of immune system terms in the biological process ontology were improved:
Ontology development for biological systems: Immunology.
Bioinformatics. 2007 ; 23: 913-915. (PubMed abstract [external website]; full text [external website])
The following article provides a general introduction to GO for biologists:
Get ready to GO! A biologist's guide to the Gene Ontology.
Brief Bioinform. 2005 ; 6: 298-304. (PubMed abstract [external website])
The following article provides a general introduction to the GOA database at EBI and explains electronic and manual annotation techniques:
The Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene Ontology.
Nucleic Acids Res. 2004 ; 32: D262-D266. (PubMed abstract [external website]; full text [external website])