- From: chris mungall <cjm@fruitfly.org>
- Date: Tue, 31 Jan 2006 13:41:20 -0800
- To: Eric Jain <Eric.Jain@isb-sib.ch>
- Cc: jluciano@predmed.com, jluciano@gmail.com, public-semweb-lifesci@w3.org
On Jan 31, 2006, at 12:36 PM, Eric Jain wrote: > > Joanne Luciano wrote: >> An MD I met with last week mentioned briefly the desire to obtain >> homologs >> for yeast proteins with the GO ID 0031930. With it was a request for >> other >> suggestions for querying proteins with this ontology assignment >> (looking for >> mammalian homologs). >> Can the semantic web help with this or is it already basic and >> solved, in >> which case, can someone point me or fill in the details? Where >> should I go? >> What questions should I ask? > > Semantic web technologies can help make certain things simpler to > implement -- and therefore allow things to be implemented that would > not have been feasible otherwise. But tasks such as listing all > proteins for an organism that have been tagged with a specific term > are simple enough to be supported even without any semantic web magic, > see http://pir.uniprot.org/, for example. This site also allows you to > run similarity searches on the matching entries to find homologs. I disagree - annotation using particular terms are exactly the kind of thing you need semantic web magic for. In this particular case 31930 has no is_a or part_of children, so extra magic would buy you nothing; but for other queries you absolutely need to do inference to get other implied terms; and this inference will have to be more sophisticated as more relations from the OBO relations ontology are used in other OBO ontologies, and as more annotations are made by composing anonymous classes from a mixture of OBO ontologies. > > Now in this particular case it looks like you are out of luck: No > yeast proteins have been associated with GO:0031930. Often the main > limiting factor are not the tools, but the available data... or the data sources; the GO database is the definitive source for gene products annotated using GO: http://www.godatabase.org/cgi-bin/amigo/go.cgi? view=details&show_associations=list&search_constraint=terms&depth=0&quer y=GO:0031930&session_id=9683b1138739427 yields 6 yeast genes: LST8 S000004951 MKS1 S000005020 RTG1 S000005428 RTG2 S000003221 RTG3 S000000199 TOR1 S000003827 You can then follow the links to the gene descriptions on SGD and fetch homologs from there; Or you can go to http://inparanoid.cgb.ki.se/index.html and paste in the IDs one at a time, get the ensembl IDs for the human orthologs, and resolve these to a more standard ID system, being aware of the semantics of each ID to ID transitiion (eg proteins to genes) and the implications Looks like we have our work cut out for us...
Received on Wednesday, 1 February 2006 22:56:15 UTC