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Distributed retrieval engine for the development of cloud-deployed biological databases

The integration of cloud resources with federated data retrieval has the potential of improving the maintenance, accessibility and performance of specialized databases in the biomedical field. However, such an integrative approach requires technical expertise in cloud computing, usage of a data retr...

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Detalles Bibliográficos
Autores principales: Bouzaglo, David, Chasida, Israel, Ezra Tsur, Elishai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233384/
https://www.ncbi.nlm.nih.gov/pubmed/30459848
http://dx.doi.org/10.1186/s13040-018-0185-5
Descripción
Sumario:The integration of cloud resources with federated data retrieval has the potential of improving the maintenance, accessibility and performance of specialized databases in the biomedical field. However, such an integrative approach requires technical expertise in cloud computing, usage of a data retrieval engine and development of a unified data-model, which can encapsulate the heterogeneity of biological data. Here, a framework for the development of cloud-based biological specialized databases is proposed. It is powered by a distributed biodata retrieval system, able to interface with different data formats, as well as provides an integrated way for data exploration. The proposed framework was implemented using Java as the development environment, and MongoDB as the database manager. Syntactic analysis was based on BSON, jsoup, Apache Commons and w3c.dom open libraries. Framework is available in: http://nbel-lab.com and is distributed under the creative common agreement. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13040-018-0185-5) contains supplementary material, which is available to authorized users.