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A Survey on Sequence Alignment Algorithms and State-of-the-Art Aligners

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Survey reveals advancements in sequence alignment methods, emphasizing computational power and quality in genomic studies.

Sequence alignment algorithms play a crucial role in analyzing large-scale genomic data, providing insights into bioinformatics.
Performance benchmarking demonstrates the effectiveness of different alignment methods over three decades of research.
The study reviews both pairwise and multiple sequence alignment, highlighting their complexity and computational demands.
Emerging trends suggest a shift towards heuristic approaches and optics-enabled technologies, hinting at a quantum computing future.

Prousalis et al. (2025) studied this question.

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