Bouzaglo David, Chasida Israel, Ezra Tsur Elishai
Neuro-biomorphic Engineering Lab, Faculty of Engineering, Jerusalem College of Technology, Jerusalem, Israel.
BioData Min. 2018 Nov 12;11:26. doi: 10.1186/s13040-018-0185-5. eCollection 2018.
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.
云资源与联合数据检索的整合具有改善生物医学领域专业数据库的维护、可访问性和性能的潜力。然而，这种整合方法需要云计算方面的技术专长、数据检索引擎的使用以及统一数据模型的开发，该模型能够封装生物数据的异质性。在此，提出了一个用于开发基于云的生物专业数据库的框架。它由一个分布式生物数据检索系统提供支持，该系统能够与不同的数据格式进行交互，并为数据探索提供一种集成方式。所提出的框架使用Java作为开发环境，MongoDB作为数据库管理器来实现。句法分析基于BSON、jsoup、Apache Commons和w3c.dom开放库。该框架可在以下网址获取：http://nbel-lab.com ，并根据知识共享协议进行分发。
