Semantically enabling a genome-wide association study database

Background The amount of data generated from genome-wide association studies (GWAS) has grown rapidly, but considerations for GWAS phenotype data reuse and interchange have not kept pace. This impacts on the work of GWAS Central – a free and open access resource for the advanced querying and compari...

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Bibliographic Details
Published in:	Journal of biomedical semantics Vol. 3; no. 1; p. 9
Main Authors:	Beck, Tim, Free, Robert C, Thorisson, Gudmundur A, Brookes, Anthony J
Format:	Journal Article
Language:	English
Published:	London BioMed Central 17.12.2012 Springer Nature B.V BMC
Subjects:	Abnormalities Algorithms Annotations Automation Biocompatibility Bioinformatics Blood pressure Combinatorial Libraries Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data Mining and Knowledge Discovery Disease Genome-wide association studies Genomes Genotype & phenotype Genotypes GWAS Integration Linked Data Mathematics Mathematics and Statistics Medical Subject Headings-MeSH Ontology Phenotype Phenotypes Principles RDF Resource Description Framework-RDF Semantic technologies in healthcare and life sciences 2012 Semantic web Semantics Signs and symptoms Species Studies Terminology Phenotype GWAS Ontology RDF
ISSN:	2041-1480, 2041-1480
Online Access:	Get full text
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