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    Area of Science:

    • Genomics
    • Optical Engineering
    • Bioinformatics

    Background:

    • Genome sequence analysis is crucial for understanding biological functions.
    • Traditional methods for DNA alignment face challenges in speed and accuracy.
    • Existing dual-vector-curve (DV-curve) methods require simplification for practical genome analysis.

    Purpose of the Study:

    • To present a novel optical processing approach for genome sequence exploration.
    • To introduce the hybrid amplitude wavelength polarization optical DV-curve (HAWPOD) method for enhanced local alignment.
    • To develop an all-optical implementation for faster and more accurate genome sequence analysis.

    Main Methods:

    • Utilized an optical correlator for global genome sequence alignment.
    • Developed the hybrid amplitude wavelength polarization optical DV-curve (HAWPOD) method for local alignment.
    • Employed a tunable graphene-based color filter for optical signal wavelength modulation.
    • Implemented an all-optical system for DNA coding, alignment, and post-analysis.
    • Validated accuracy using numerical simulations in LUMERICAL FDTD.

    Main Results:

    • The proposed HAWPOD method provides accurate and simplified output for genome sequence analysis.
    • Numerical simulations confirmed the effectiveness of the all-optical HAWPOD implementation.
    • The optical approach demonstrated significantly faster processing speeds compared to electrical methods.

    Conclusions:

    • The HAWPOD method represents a significant advancement in optical genome sequence analysis.
    • This novel approach offers a faster and more efficient alternative for exploring complex genomic data.
    • The all-optical implementation paves the way for next-generation high-throughput genome sequencing analysis.