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Translational research combining orthologous genes and human diseases with the OGOLOD dataset
2014
Semantic Web Journal
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The key contribution of OGOLOD is that it links, in new RDF triples, genetic human diseases and orthologous genes, paving the way for a more efficient translational biomedical research exploiting the Linked ...
OGOLOD is a Linked Open Data dataset derived from different biomedical resources by an automated pipeline, using a tailored ontology as a scaffold. ...
Acknowledgements This work is funded by the Spanish Ministry for Economy and Competitiveness through grant TSI2007-66575-C02-02 and by the EC through the FEDER program. ...
doi:10.3233/sw-130109
fatcat:ckiiq33virexfdgi6twisfsuja
Generation of open biomedical datasets through ontology-driven transformation and integration processes
2016
Journal of Biomedical Semantics
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Biomedical research usually requires combining large volumes of data from multiple heterogeneous sources, which makes difficult the integrated exploitation of such data. ...
Methods: We present an approach for the transformation and integration of heterogeneous biomedical data with the objective of generating open biomedical datasets in Semantic Web formats. ...
Acknowledgements This work was supported by the Ministerio de Economía y Competitividad and the FEDER programme through grant TIN2014-53749-C2-2-R2, and the Fundación Séneca through grants 15295/PI/10 ...
doi:10.1186/s13326-016-0075-z
pmid:27255189
pmcid:PMC4891880
fatcat:zbshz4giqnhspfwgiluhwfdcha