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Squid - a simple bioinformatics grid.

Paulo C Carvalho1, Rafael V Glória, Antonio B de Miranda

  • 1Laboratory for Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil. carvalhopc@fiocruz.br

BMC Bioinformatics
|August 5, 2005
PubMed
Summary
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Squid software leverages grid technology to simplify large-scale distributed computing for genetic sequence analysis. This open-source tool accelerates BLAST queries significantly, making high-performance computing accessible without specialized expertise.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • BLAST is a critical tool for analyzing nucleotide and protein sequence similarity.
  • Grid technology offers potential for distributed computing but often has complex installations.
  • High-performance computing for large BLAST queries typically requires specialized hardware.

Purpose of the Study:

  • Introduce Squid, a novel software application utilizing grid technology.
  • Simplify the process of performing large-scale, computing-intensive tasks like BLAST analysis.
  • Provide a multi-platform, open-source solution for distributed computing in bioinformatics.

Main Methods:

  • Developed Squid as an open-source, multi-platform application.
  • Configured Squid for BLAST applications, with potential for other intensive tasks.

Related Experiment Videos

  • Implemented fault tolerance and crash recovery mechanisms within the Squid system.

    • Main Results:

    • Squid simplifies distributed computing, offering high-end power without specialist requirements.
    • The software is multi-platform and open-source, addressing installation complexity.
    • Squid demonstrates significant speedup for BLAST queries, nearly N times faster with N nodes.

    Conclusions:

    • Squid provides accessible high-end computing for non-specialists.
    • The software is freely available with user-friendly installation and pre-configured examples.
    • Squid enhances the viability of large-scale genetic sequence analysis through distributed computing.