Wildfire: distributed, Grid-enabled workflow construction and execution

被引:25
|
作者
Tang, F
Chua, CL
Ho, LY
Lim, YP
Issac, P
Krishnan, A
机构
[1] DSO Natl Labs, Operat Res Lab, Singapore 118230, Singapore
[2] Motorola Elect Pte Ltd, Global Software Grp, Singapore 569088, Singapore
关键词
Particle Swarm Optimisation; Multiple Processor; Atomic Component; Allergenicity Prediction; Graphical User Interface Element;
D O I
10.1186/1471-2105-6-69
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: 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. Results: 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. Conclusion: Wildfire simplifies the tasks of constructing and executing bioinformatics workflows.
引用
收藏
页数:9
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