Re: Vocabulary

Additionally, bio2rdf.org has identifiers and linked data URIs for most
biological entities. Additionally, the URis are easy to predict and
generate from existing databases like entrez and uniprot. They either are
or are going to use SemanticScience Integrated Ontology (SIO) to represent
identifiers, names, etc.

Jim

Jim

On Monday, April 8, 2013, Bhat, Talapady N. wrote:

> Hi,****
>
> Have a look at http://xpdb.nist.gov/bioroot/bioroot.pl and type Gene ID.
> Then you get a list of re-used terms. If you click any of member (shown in
> blue) of the list, you get another list showing their use.****
>
> I am not sure whether I have been of much help for you.****
>
> ** **
>
> T N Bhat****
>
> ** **
>
> *From:* Amrapali J Zaveri [mailto:amrapali.j.zaveri@gmail.com<javascript:_e({}, 'cvml', 'amrapali.j.zaveri@gmail.com');>]
>
> *Sent:* Monday, April 08, 2013 10:02 AM
> *To:* w3.hcls@gmail.com <javascript:_e({}, 'cvml', 'w3.hcls@gmail.com');>;
> W3C HCLSIG hcls
> *Subject:* Vocabulary****
>
> ** **
>
> Hi,****
>
> ** **
>
> Please could some one point me to a vocabulary that i could (re-)use to
> represent Gene ID's, Gene Symbols, Gene Names etc.****
>
>
> ****
>
> Thanks.****
>
> Regards,
> Amrapali Zaveri****
>
> http://aksw.org/AmrapaliZaveri****
>


-- 
Jim McCusker
Programmer Analyst
Krauthammer Lab, Pathology Informatics
Yale School of Medicine
james.mccusker@yale.edu | (203) 785-4436
http://krauthammerlab.med.yale.edu

PhD Student
Tetherless World Constellation
Rensselaer Polytechnic Institute
mccusj@cs.rpi.edu
http://tw.rpi.edu