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Related Experiment Videos

ProGenGrid: a grid-enabled platform for bioinformatics.

Giovanni Aloisio1, Massimo Cafaro, Sandro Fiore

  • 1CACT/ISUFI and SPACI Consortium, University of Lecce, 73100 Lecce, Italy. giovanni.aloisio@unile.it

Studies in Health Technology and Informatics
|June 1, 2005
PubMed
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The ProGenGrid system offers a virtual laboratory for simulating biological experiments using web services and grid infrastructure. This enables e-scientists to compose, monitor, and reproduce complex bioinformatics workflows, including drug design applications.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Scientific Computing

Background:

  • Bioinformatics and genomics research increasingly relies on complex computational analyses.
  • Existing tools are often disparate, requiring integration for efficient workflow execution.
  • High-performance computing resources are essential for reducing computational time in biological simulations.

Purpose of the Study:

  • To introduce the ProGenGrid system, a virtual laboratory for simulating biological experiments.
  • To enable e-scientists to compose, monitor, and store results of complex bioinformatics workflows.
  • To facilitate the reproduction and updating of experimental models.

Main Methods:

  • Utilizing a Grid infrastructure to interconnect distributed tools and hardware resources.

Related Experiment Videos

  • Wrapping software components as Web Services for workflow composition.
  • Employing the Globus Toolkit 3.2 as the Grid middleware, with GSI and GridFTP protocols.
  • Developing user-friendly interfaces including Web and Web service interfaces via the gSOAP Toolkit.

    • Main Results:

    • The ProGenGrid system successfully integrates diverse bioinformatics tools and resources.
    • It provides a platform for simulating biological experiments, including drug design algorithms.
    • The system allows for efficient monitoring, storage, and reproduction of experimental workflows.

    Conclusions:

    • ProGenGrid enhances bioinformatics research by providing a flexible and powerful virtual laboratory environment.
    • The use of Grid infrastructure and web services facilitates the execution of computationally intensive biological simulations.
    • The system supports the entire lifecycle of computational experiments, from composition to reproduction.