Halling-Brown Mark D, Moss David S, Shepherd Adrian J
Institute of Structural and Molecular Biology, School of Crystallography, Birkbeck College, Malet Street, London, WC1E 7HX, UK.
BMC Bioinformatics. 2008 Oct 2;9:407. doi: 10.1186/1471-2105-9-407.
An increasing number of scientific research projects require access to large-scale computational resources. This is particularly true in the biological field, whether to facilitate the analysis of large high-throughput data sets, or to perform large numbers of complex simulations - a characteristic of the emerging field of systems biology.
In this paper we present a lightweight generic framework for combining disparate computational resources at multiple sites (ranging from local computers and clusters to established national Grid services). A detailed guide describing how to set up the framework is available from the following URL: http://igrid-ext.cryst.bbk.ac.uk/portal_guide/.
This approach is particularly (but not exclusively) appropriate for large-scale biology projects with multiple collaborators working at different national or international sites. The framework is relatively easy to set up, hides the complexity of Grid middleware from the user, and provides access to resources through a single, uniform interface. It has been developed as part of the European ImmunoGrid project.
越来越多的科研项目需要访问大规模计算资源。在生物领域尤其如此，无论是为了便于分析大型高通量数据集，还是为了执行大量复杂模拟——这是新兴的系统生物学领域的一个特点。
在本文中，我们提出了一个轻量级通用框架，用于组合多个站点（从本地计算机和集群到成熟的国家网格服务）的不同计算资源。可通过以下网址获取描述如何设置该框架的详细指南：http://igrid-ext.cryst.bbk.ac.uk/portal_guide/。
这种方法特别（但不限于）适用于有多个合作者在不同国家或国际站点工作的大规模生物学项目。该框架相对容易设置，向用户隐藏了网格中间件的复杂性，并通过单一统一接口提供对资源的访问。它是作为欧洲免疫网格项目的一部分开发的。
