Conference Publication Details
Mandatory Fields
Beyan, O; Iqbal, A; Khan,Y; Antoniades, A; Keane, J; Hasapis, P; Georgousopoulos, C; Ioannidi, M; Decker, S; Sahay, R
IEEE International Conference on BioInformatics and BioEngineering
Querying Phenotype-Genotype Associations across Multiple Knowledge Bases using Semantic Web Technologies
2013
November
Published
1
()
Optional Fields
Chania, Greece
—Biomedical and genomic data are inherently heterogeneous and their recent proliferation over the Web has demanded innovative querying methods to help domain experts in their clinical and research studies. In this paper we present the use of Semantic Web technologies in querying diverse phenotype-genotype associations for supporting personalized medicine and potentially helping to discover new associations. Our initial results suggest that Semantic Web technologies has competitive advantages in extracting, consolidating and presenting phenotype-genotype associations that resides in various bioinformatics resources. The developed querying method could support researchers and medical professionals in discovering and utilizing information on published associations relating disease, treatment, adverse events and environmental factors to genetic markers from multiple repositories. 
http://www.deri.ie/sites/default/files/publications/bibe2013_oya_et_al.pdf
Grant Details
SFI/12/RC/2289
Publication Themes