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Related Experiment Videos

An agent approach for protein function analysis in a grid infrastructure.

Alessandro Orro1, Luciano Milanesi

  • 1Institute for Biomedical Technologies - Italian National Research Council, Via Fratelli Cervi 93, I-20090 Segrate (MI) - Italy. alessandro.orro@itb.cnr.it

Studies in Health Technology and Informatics
|May 4, 2007
PubMed
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Phylogenomics inference offers accurate gene product functional annotation but is computationally expensive. This study deploys this method on a distributed grid using agents to simplify user interaction and reduce costs.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Functional annotation of gene products is crucial but computationally intensive.
  • Phylogenomics inference is an accurate method for functional annotation, yet its high computational cost limits its widespread adoption.
  • Current bioinformatics workflows often require complex computational tools and manual biologist intervention.

Purpose of the Study:

  • To address the computational challenges of phylogenomics inference for gene product functional annotation.
  • To implement and deploy a phylogenomics analysis protocol in a distributed grid environment.
  • To simplify user interaction with grid computing resources for complex bioinformatics analyses.

Main Methods:

  • Development and implementation of an agent architecture for grid deployment.

Related Experiment Videos

  • Utilizing a distributed grid environment to manage computational load.
  • Streamlining the phylogenomics inference protocol for enhanced efficiency.
  • Main Results:

    • Successful deployment of the phylogenomics analysis protocol on a distributed grid.
    • Demonstration of a simplified user interaction model for grid-based bioinformatics.
    • Mitigation of computational costs associated with phylogenomics inference.

    Conclusions:

    • Agent-based architecture effectively enables the deployment of computationally demanding bioinformatics protocols on distributed grids.
    • The implemented system simplifies access to powerful analysis tools for biologists.
    • This approach enhances the feasibility of using phylogenomics inference for large-scale functional annotation.