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An Extensible, Scalable Architecture for Managing Bioinformatics Data and Analyses

机译:可扩展,可扩展的架构,用于管理生物信息学数据和分析

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Systems biology research demands the availability of tools and technologies that span a comprehensive range of computational capabilities, including data management, transfer, processing, integration, and interpretation. To address these needs, we have created the Bioinformatics Resource Manager (BRM), a scalable, flexible, and easy to use tool for biologists to undertake complex analyses. This paper describes the underlying software architecture of the BRM that integrates multiple commodity platforms to provide a highly extensible and scalable software infrastructure for bioinformatics. The architecture integrates a J2EE 3-tier application with an archival Experimental Data Management System, the GAGGLE framework for desktop tool integration, and the MeDICi Integration Framework for high-throughput data analysis workflows. This architecture facilitates a systems biology software solution that enables the entire spectrum of scientific activities, from experimental data access to high throughput processing and analysis of data for biologists and experimental scientists.
机译:系统生物学研究要求提供跨越全面的计算能力的工具和技术的可用性,包括数据管理,传输,处理,集成和解释。为满足这些需求,我们创建了生物信息学资源管理器(BRM),可扩展,灵活,易于使用的生物学家进行复杂分析。本文介绍了BRM的底层软件架构,它集成了多种商品平台,为生物信息学提供高度可扩展和可扩展的软件基础设施。该体系结构将J2EE 3层应用程序与档案实验数据管理系统,桌面工具集成的Gaggle框架集成,以及用于高吞吐量数据分析工作流的Medici集成框架。这种架构有助于一个系统生物学软件解决方案,它能够从实验数据访问对生物学家和实验科学家数据的高吞吐量处理和分析的实验数据访问来实现整体的科学活动。

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