Wildfire: distributed, Grid-enabled workflow construction and execution.

Wildfire: distributed, Grid-enabled workflow construction and execution.
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DOI:
10.1186/1471-2105-6-69
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发表时间:
2005-03-24
期刊:
影响因子:
3
通讯作者:
Krishnan A
Krishnan A
中科院分区:
生物学4区
文献类型:
--
作者:
Tang F;Chua CL;Ho LY;Lim YP;Issac P;Krishnan A

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我们观察到生物信息学的两个趋势:(i)分析的复杂性越来越高,通常需要多个应用程序作为工作流程运行;(ii)多个CPU集群和网格可供更多科学家使用。在多个CPU上运行工作流的问题的传统解决方案需要编程,通常使用Perl等脚本语言。编程将这些解决方案置于许多生物信息学消费者无法触及的地方。我们提出野火,一个图形用户界面,用于构建和运行工作流。Wildfire借用了JQuery的用户界面特性,并添加了一个拖放界面,允许用户将JQuery SS(和其他)程序组合到工作流中。对于执行,Wildfire使用GEL,这是底层的工作流执行引擎,它可以利用多个CPU机器上的可用并行性,包括Beowulf类集群和网格。Wildfire简化了构建和执行生物信息学工作流程的任务。
We observe two trends in bioinformatics: (i) analyses are increasing in complexity, often requiring several applications to be run as a workflow; and (ii) multiple CPU clusters and Grids are available to more scientists. The traditional solution to the problem of running workflows across multiple CPUs required programming, often in a scripting language such as perl. Programming places such solutions beyond the reach of many bioinformatics consumers. We present Wildfire, a graphical user interface for constructing and running workflows. Wildfire borrows user interface features from Jemboss and adds a drag-and-drop interface allowing the user to compose EMBOSS (and other) programs into workflows. For execution, Wildfire uses GEL, the underlying workflow execution engine, which can exploit available parallelism on multiple CPU machines including Beowulf-class clusters and Grids. Wildfire simplifies the tasks of constructing and executing bioinformatics workflows.
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