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Related Experiment Videos

Multiple DNA and protein sequence alignment on a workstation and a supercomputer.

K Tajima1

  • 1Biological Informatics Section, International Institute for Advanced Study of Social Information Science, Tokyo, Japan.

Computer Applications in the Biosciences : CABIOS
|November 1, 1988
PubMed
Summary
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This study presents an efficient multiple sequence alignment method utilizing recursive alignment and parallel processing. The method achieves reasonable computation times on workstations and supercomputers for biological sequence analysis.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Multiple sequence alignment is crucial for understanding protein and DNA sequence relationships.
  • Existing methods may face computational challenges with large datasets.

Purpose of the Study:

  • To describe a novel multiple sequence alignment method.
  • To evaluate its performance on workstations and supercomputers.

Main Methods:

  • A recursive alignment procedure aligning new sequences to existing alignments.
  • Parallel processing for enhanced computational speed.
  • Application to human immunodeficiency virus (HIV) env gene sequences.

Main Results:

  • The method demonstrates reasonable computation times across diverse hardware.

Related Experiment Videos

  • Effective alignment results were achieved for amino acid and DNA sequences.
  • Successful application to 12 HIV env gene sequences.

    • Conclusions:

    • The described method offers an efficient approach to multiple sequence alignment.
    • Parallel processing significantly improves computational speed.
    • The technique is applicable to complex biological sequence datasets.