BMC Bioinformatics | |
SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases | |
Dominik Schweiger2  Zlatko Trajanoski2  Stephan Pabinger1  | |
[1] AIT – Austrian Institute of Technology, Health & Environment Department, Molecular Diagnostics, Vienna, Austria | |
[2] Division for Bioinformatics, Biocenter, Innsbruck Medical University, Innsbruck, Austria | |
关键词: Graphical query builder; Database queries; RDF; Semantic web; SPARQL; Semantic database; | |
Others : 1086459 DOI : 10.1186/1471-2105-15-279 |
|
received in 2014-02-26, accepted in 2014-08-12, 发布年份 2014 | |
【 摘 要 】
Background
Semantic Web has established itself as a framework for using and sharing data across applications and database boundaries. Here, we present a web-based platform for querying biological Semantic Web databases in a graphical way.
Results
SPARQLGraph offers an intuitive drag & drop query builder, which converts the visual graph into a query and executes it on a public endpoint. The tool integrates several publicly available Semantic Web databases, including the databases of the just recently released EBI RDF platform. Furthermore, it provides several predefined template queries for answering biological questions. Users can easily create and save new query graphs, which can also be shared with other researchers.
Conclusions
This new graphical way of creating queries for biological Semantic Web databases considerably facilitates usability as it removes the requirement of knowing specific query languages and database structures. The system is freely available at http://sparqlgraph.i-med.ac.at webcite.
【 授权许可】
2014 Schweiger et al.; licensee BioMed Central Ltd.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
20150116012115917.pdf | 788KB | download | |
Figure 2. | 57KB | Image | download |
Figure 1. | 50KB | Image | download |
【 图 表 】
Figure 1.
Figure 2.
【 参考文献 】
- [1]Machado CM, Rebholz-Schuhmann D, Freitas AT, Couto FM: The semantic web in translational medicine: current applications and future directions. Brief Bioinform 2013. Epub ahead of print
- [2]Belleau F, Nolin M-A, Tourigny N, Rigault P, Morissette J: Bio2RDF: towards a mashup to build bioinformatics knowledge systems. J Biomed Inform 2008, 41:706-716.
- [3]EMBL-EBI RDF Platform [http://www.ebi.ac.uk/rdf webcite]
- [4]García Godoy MJ, López-Camacho E, Navas-Delgado I, Aldana-Montes JF: Sharing and executing linked data queries in a collaborative environment. Bioinformatics 2013, 29:1663-1670.
- [5]Lopes P, Oliveira JL: COEUS: “semantic web in a box” for biomedical applications. J Biomed Semant 2012, 3:11. BioMed Central Full Text
- [6]McCarthy L, Vandervalk B, Wilkinson M: SPARQL assist language-neutral query composer. BMC Bioinformatics 2012, 13 Suppl 1(Suppl 1):S2.
- [7]Carrascosa MC, Massaguer OL, Mestres J: PharmaTrek: a semantic web explorer for open innovation in multitarget drug discovery. Mol Inform 2012, 31:537-541.
- [8]Dogrusoz U, Cetintas A, Demir E, Babur O: Algorithms for effective querying of compound graph-based pathway databases. BMC Bioinformatics 2009, 10:376. BioMed Central Full Text
- [9]Meteor [https://www.meteor.com webcite]
- [10]mxGraph [http://www.jgraph.com/mxgraph.html webcite]
- [11]DISQUS [http://disqus.com/ webcite]
- [12]Kapushesky M, Emam I, Holloway E, Kurnosov P, Zorin A, Malone J, Rustici G, Williams E, Parkinson H, Brazma A: Gene expression atlas at the European bioinformatics institute. Nucleic Acids Res 2010, 38(Database issue):D690-D698.
- [13]Gaulton A, Bellis LJ, Bento a P, Chambers J, Davies M, Hersey A, Light Y, McGlinchey S, Michalovich D, Al-Lazikani B, Overington JP: ChEMBL: a large-scale bioactivity database for drug discovery. Nucleic Acids Res 2012, 40(Database issue):D1100-D1107.
- [14]Joshi-Tope G, Gillespie M, Vastrik I, D’Eustachio P, Schmidt E, de Bono B, Jassal B, Gopinath GR, Wu GR, Matthews L, Lewis S, Birney E, Stein L: Reactome: a knowledgebase of biological pathways. Nucleic Acids Res 2005, 33(Database issue):D428-D432.
- [15]Apweiler R, Bairoch A, Wu CH, Barker WC, Boeckmann B, Ferro S, Gasteiger E, Huang H, Lopez R, Magrane M, Martin MJ, Natale D a, O’Donovan C, Redaschi N, Yeh L-SL: UniProt: the Universal protein knowledgebase. Nucleic Acids Res 2004, 32(Database issue):D115-D119.
- [16]Maglott D, Ostell J, Pruitt KD, Tatusova T: Entrez gene: gene-centered information at NCBI. Nucleic Acids Res 2005, 33(Database issue):D54-D58.
- [17]Wishart DS, Knox C, Guo AC, Cheng D, Shrivastava S, Tzur D, Gautam B, Hassanali M: DrugBank: a knowledgebase for drugs, drug actions and drug targets. Nucleic Acids Res 2008, 36(Database issue):D901-D906.
- [18]Kanehisa M, Goto S: KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res 2000, 28:27-30.
- [19]Hewett M, Oliver DE, Rubin DL, Easton KL, Stuart JM, Altman RB, Klein TE: PharmGKB: the pharmacogenetics knowledge base. Nucleic Acids Res 2002, 30:163-165.
- [20]GRUFF [http://franz.com/agraph/gruff/ webcite]
- [21]Zviedris M, Barzdins G: ViziQuer: A Tool to Explore and Query SPARQL Endpoints. In The Semanic Web: Research and Applications, 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, May 29 – June 2, 2011, Proceedings, Part II. Berlin Heidelberg: Springer; 2011:441-445.
- [22]Russell A, Smart PR: NITELIGHT: A Graphical Editor for SPARQL Queries. 2008, 2.
- [23]PubChemRDF Release Notes [https://pubchem.ncbi.nlm.nih.gov/rdf/ webcite]