Distributed retrieval engine for the development of cloud-deployed biological databases 08 Information and Computing Sciences 0806 Information Systems 08 Information and Computing Sciences 0803 Computer Software

David Bouzaglo, Israel Chasida, Elishai Ezra Tsur

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number26
JournalBioData Mining
Volume11
Issue number1
DOIs
StatePublished - 12 Nov 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 The Author(s).

Keywords

  • Cloud-based databases
  • Federated databases
  • MongoDB
  • Specialized databases

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