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Related Experiment Videos

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

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

BMC Bioinformatics
|March 25, 2005
PubMed
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Wildfire offers a graphical interface for building and running complex bioinformatics workflows. This tool simplifies the use of multiple CPUs and Grids for computational analyses, making advanced bioinformatics accessible.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Bioinformatics analyses are growing in complexity, necessitating multi-step workflows.
  • Increased availability of multi-CPU clusters and Grids for scientific computing.
  • Traditional workflow solutions require programming expertise, limiting accessibility for many researchers.

Purpose of the Study:

  • To introduce Wildfire, a graphical user interface (GUI) for constructing and executing bioinformatics workflows.
  • To provide a user-friendly alternative to programming-based workflow management.

Main Methods:

  • Wildfire utilizes a drag-and-drop interface for workflow composition.
  • It integrates with existing bioinformatics tools, such as EMBOSS.
  • Workflow execution is managed by the GEL engine, supporting parallel processing on clusters and Grids.

Related Experiment Videos

Main Results:

  • Wildfire enables users to visually assemble bioinformatics programs into complex workflows.
  • The system leverages the GEL engine for efficient execution on distributed computing resources.
  • It simplifies the utilization of multi-CPU environments for bioinformatics tasks.

Conclusions:

  • Wildfire significantly simplifies the construction and execution of bioinformatics workflows.
  • The tool enhances accessibility to advanced computational analyses for a broader range of scientists.