title: Translating standards into practice - one Semantic Web API for Gene Expression.
abstract: Sharing and describing experimental results unambiguously with sufficient detail to enable replication of results is a fundamental tenet of scientific research. In today's cluttered world of "-omics" sciences, data standards and standardized use of terminologies and ontologies for biomedical informatics play an important role in reporting high-throughput experiment results in formats that can be interpreted by both researchers and analytical tools. Increasing adoption of Semantic Web and Linked Data technologies for the integration of heterogeneous and distributed health care and life sciences (HCLSs) datasets has made the reuse of standards even more pressing; dynamic semantic query federation can be used for integrative bioinformatics when ontologies and identifiers are reused across data instances. We present here a methodology to integrate the results and experimental context of three different representations of microarray-based transcriptomic experiments: the Gene Expression Atlas, the W3C BioRDF task force approach to reporting Provenance of Microarray Experiments, and the HSCI blood genomics project. Our approach does not attempt to improve the expressivity of existing standards for genomics but, instead, to enable integration of existing datasets published from microarray-based transcriptomic experiments. SPARQL Construct is used to create a posteriori mappings of concepts and properties and linking rules that match entities based on query constraints. We discuss how our integrative approach can encourage reuse of the Experimental Factor Ontology (EFO) and the Ontology for Biomedical Investigations (OBIs) for the reporting of experimental context and results of gene expression studies.
authors.affiliation: Digital Enterprise Research Institute (DERI), National University of Ireland, Galway, Ireland. helena.deus@deri.org
authors.forename: Helena F
authors.initials: HF
authors.lastname: Deus
authors.forename: Eric
authors.initials: E
authors.lastname: Prud'hommeaux
authors.forename: Michael
authors.initials: M
authors.lastname: Miller
authors.forename: Jun
authors.initials: J
authors.lastname: Zhao
authors.forename: James
authors.initials: J
authors.lastname: Malone
authors.forename: Tomasz
authors.initials: T
authors.lastname: Adamusiak
authors.forename: Jim
authors.initials: J
authors.lastname: McCusker
authors.forename: Sudeshna
authors.initials: S
authors.lastname: Das
authors.forename: Philippe
authors.initials: P
authors.lastname: Rocca Serra
authors.forename: Ronan
authors.initials: R
authors.lastname: Fox
authors.forename: M Scott
authors.initials: MS
authors.lastname: Marshall
mesh_terms: D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D023281:Genomics; D006801:Humans; D020407:Internet; D008491:Medical Informatics Applications; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis; D010597:Pharmacogenetics; D012660:Semantics