Searching across hundreds of databases
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: http://purl.bioontology.org/ontology/HRDO
Proper Citation: Disease core ontology applied to Rare Diseases (RRID:SCR_010308)
Description: A core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database.
Abbreviations: HRDO
Resource Type: data or information resource, controlled vocabulary, ontology
Keywords: owl
Expand AllWe found {{ ctrl2.mentions.total_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for Disease core ontology applied to Rare Diseases.
No alerts have been found for Disease core ontology applied to Rare Diseases.
Source: SciCrunch Registry
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
