使用BioFlow简化生物数据分析

Zhijie Guan, H. Jamil
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引用次数: 13

摘要

由于几个明显和实际的原因,生物数据分析所需的资源通常是地理分布的,并且可以通过Internet访问。这些资源通常包括数据存储库、分析工具、数字文档等等。这样的安排需要复杂的数据和流程集成工具,以便使用这些在线资源设计特别的高级应用程序。在本文中,我们提出了这样一个系统,称为BioFlow,它利用工作流技术和互联网计算的最新进展,通过隐藏与用户应用程序所需资源的异构性和分布式特性相关的方面,为临时应用程序开发提供支持。我们介绍了BioFlow系统的主要特点,简要讨论了其架构和使用简单但现实生活中的应用程序的实现问题。我们证明了BioFlow所基于的声明性语言使我们的系统非常直观,易于使用,对于特别的应用程序设计是有效和高效的。BioFlow采用的方法有点类似于生物学应用的语义web计算中的web服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Streamlining biological data analysis using BioFlow
For several obvious and practical reasons, resources needed for biological data analysis are often geographically distributed and are accessible through the Internet. Such resources usually include data repositories, analysis tools, digital documents, and so on. Such an arrangement warrants sophisticated data and process integration tools in order to design ad hoc higher level applications using these online resources. In this paper we present such a system, called the BioFlow, that exploits recent advances in workflow technology and Internet computing in order to provide support for ad hoc application development by hiding aspects related to the heterogeneity and distributive nature of the resources required by user applications. We introduce the salient features of the BioFlow system, discuss briefly its architecture and implementation issues using simple but real life applications. We demonstrate that the declarative language on which BioFlow is based makes our system quite intuitive, easy to use, effective and efficient for ad hoc application design. The approach taken in BioFlow is somewhat similar to the idea of web services in semantic web computing for biological applications.
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