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

机译:分布式检索引擎,用于开发云部署的生物数据库

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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:/bel-lab.com and is distributed under the creative common agreement.
机译:云资源与联合数据检索的集成具有改善生物医学领域专用数据库的维护,可访问性和性能的潜力。但是,这样的集成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,这可以封装生物数据的异质性。在此,提出了用于开发基于云的生物学专业数据库的框架。它由分布式生物数据检索系统提供支持,能够与不同的数据格式接口,并为数据探索提供了一种集成方式。所提出的框架是使用Java作为开发环境,使用MongoDB作为数据库管理器来实现的。语法分析基于BSON,jsoup,Apache Commons和w3c.dom开放库。该框架可从以下网站获得:http:/bel-lab.com,并根据具有创造力的共同协议进行分发。

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