Title: SNP locator: a candidate SNP selection tool

Authors: José A. Seoane; Vanessa Aguiar-Pulido; Alba Cabarcos; Sonsoles Quintela; Juan Ramon Rabuñal; Julián Dorado

Addresses: Information and Communications Technologies Department, School of Computer Science. Campus de Elviña s/n, University of A Coruña, 15071, A Coruña, Spain ' Information and Communications Technologies Department, School of Computer Science. Campus de Elviña s/n, University of A Coruña, 15071, A Coruña, Spain ' Information and Communications Technologies Department, School of Computer Science. Campus de Elviña s/n, University of A Coruña, 15071, A Coruña, Spain ' Information and Communications Technologies Department, School of Computer Science. Campus de Elviña s/n, University of A Coruña, 15071, A Coruña, Spain ' Information and Communications Technologies Department, School of Computer Science. Campus de Elviña s/n, University of A Coruña, 15071, A Coruña, Spain ' Information and Communications Technologies Department, School of Computer Science. Campus de Elviña s/n, University of A Coruña, 15071, A Coruña, Spain

Abstract: In this work, a data integration approach using a federated model based on a service oriented architecture (SOA) is presented. The BioMOBY middleware was used to implement each service which is part of the integration process. As an example of usage of this architecture, a web tool for candidate SNP selection has been developed. Thus, several BioMOBY services have been created as the model layer of the web application. Each data source has a wrapper which communicates with the federated model, that is, the BioMOBY model, and this model is the one that interacts with the client.

Keywords: federated data integration; SNP selection; single nucleotide polymorphisms; service oriented architecture; SOA; BioMOBY middleware; association studies; webtool; biomedical data integration; federated database systems.

DOI: 10.1504/IJDMMM.2013.055863

International Journal of Data Mining, Modelling and Management, 2013 Vol.5 No.3, pp.193 - 209

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 09 Aug 2013 *

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