Wildfire: distributed, Grid-enabled workflow construction and execution
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Updated: Aug 18, 2026

Integrating Automated Simulation Workflows with 3D Visualization for Virtual Experiments in the Metaverse
Published on: July 21, 2026
Francis Tang1, Ching Lian Chua, Liang-Yoong Ho
1Information Science Research, Bioinformatics Institute, 30 Biopolis Street, #07-01, Matrix, 138671, Singapore. francis@bii.a-star.edu.sg
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.
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