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Related Experiment Videos

Searching for distantly related protein sequences in large databases by parallel processing on a transputer machine.

G Vogt1, P Argos

  • 1European Molecular Biology Laboratory, Heidelberg, FRG.

Computer Applications in the Biosciences : CABIOS
|February 1, 1992
PubMed
Summary

AliMac accelerates sequence alignment for distantly related sequences using parallel computing. This method enhances reliability and speed, offering a cost-effective solution for large database searches.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Computer Science

Background:

  • Sequence alignment is crucial for understanding protein and DNA relationships.
  • Existing algorithms are computationally intensive, limiting their application to large datasets.
  • Detecting distantly related sequences remains a challenge in bioinformatics.

Purpose of the Study:

  • To present AliMac, a parallel implementation of a sensitive sequence alignment algorithm.
  • To demonstrate the effectiveness of AliMac in aligning distantly related sequences.
  • To compare the performance of AliMac with other sequence alignment algorithms.

Main Methods:

  • Developed a parallel computing implementation (AliMac) using a Macintosh IIcx and 21 transputers.
  • Integrated amino acid exchange weights and physicochemical characteristics for alignment.

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  • Benchmarked AliMac's speed and cost-effectiveness against conventional systems.

    • Main Results:

    • Achieved reliable alignments for very distantly related sequences.
    • Demonstrated a 22-fold speed increase compared to a VAX 8650 at a lower cost.
    • Identified challenges and peculiarities of parallel implementation, particularly with transputers.

    Conclusions:

    • AliMac offers a significant speed and cost improvement for sensitive sequence alignment.
    • The parallel implementation is effective for searching large sequence databases.
    • Further research can explore optimizations for parallel sequence alignment algorithms.