Can the Grid help to solve the data integration problems in molecular biology?

Brian Sturgeon, Damian McCourt, J. Cowper, Fiona Palmer, S. McClean, W. Dubitzky
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引用次数: 4

Abstract

Molecular biology is increasingly relying on globally distributed information repositories. The quality and performance of research and development in this field will depend on highly flexible, performant and intuitive ways of accessing and integrating these resources into local information processing environments. In contrast to many ongoing Grid developments, the molecular biology community requires high-informational as opposed to high-performance computing Grids. This paper outlines a general distributed informational computing scenario in the context of molecular biology. It focuses on information integration (data warehousing) and data mining as two crucial Grid methodologies of future molecular biology computing environments. The presented scenario raises a number of questions, as the basis for discussion, on the role of emerging Grid technologies.
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网格能帮助解决分子生物学中的数据集成问题吗?
分子生物学越来越依赖于全球分布的信息库。这一领域的研究和发展的质量和绩效将取决于高度灵活、高效和直观的方式来获取这些资源并将其整合到当地信息处理环境中。与许多正在进行的网格开发相反,分子生物学社区需要高信息量的网格,而不是高性能计算网格。本文概述了分子生物学背景下的一般分布式信息计算场景。它着重于信息集成(数据仓库)和数据挖掘作为未来分子生物学计算环境的两个关键网格方法。所提出的方案提出了一些问题,作为讨论新兴网格技术作用的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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