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HELIOS: High-speed sequence alignment in optics.

Ehsan Maleki1, Saeedeh Akbari Rokn Abadi1, Somayyeh Koohi1

  • 1Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.

Plos Computational Biology
|November 21, 2022
PubMed
Summary

HELIOS is a novel all-optical method for aligning DNA, RNA, and protein sequences. It offers high-throughput, precise pairwise alignment, outperforming existing methods in speed and memory efficiency for biomedical applications.

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Area of Science:

  • Biophysics
  • Bioinformatics
  • Computational Biology

Background:

  • Current sequence alignment methods suffer from serialism in electrical systems, limiting performance.
  • Existing optical approaches have low throughput due to inefficient coding schemes.

Purpose of the Study:

  • To present HELIOS, a novel all-optical, high-throughput method for aligning biological sequences (DNA, RNA, protein).
  • To address the limitations of current sequence alignment techniques by leveraging optical processing.

Main Methods:

  • HELIOS employs sophisticated optical operations for character matches, mutations, and indels.
  • The architecture utilizes wavelength and polarization for high-speed processing and parallelism.
  • Functionality and accuracy validated through behavioral and optical simulations; complexity analyzed.

Main Results:

  • HELIOS achieves precise pairwise sequence alignment, comparable to Smith-Waterman, Needleman-Wunsch, and BLAST.
  • The optical architecture significantly outperforms electrical and other optical algorithms in processing time and memory usage.
  • A compact coding scheme reduces time and space complexities.

Conclusions:

  • HELIOS offers a highly accurate and efficient solution for biological sequence alignment.
  • Its superior performance makes it suitable for demanding biomedical applications.
  • The method represents a significant advancement in optical computing for bioinformatics.