FPGA-Based Hardware Architecture for Sequence Alignment by Genetic Algorithm

With the advent of next-gen DNA sequencing technologies, there has been a massive growth in sequencing data and demand for analysis. The sequence of macromolecules such as DNA, RNA, and proteins are fundamental to the study of biology and medicine. Among many multiple sequence alignment techniques, Sequence Alignment by Genetic Algorithm (SAGA) generates high-quality alignments, but is computationally intensive, leading to low performance. In this paper, we propose an FPGA-based hardware architecture for SAGA to address the complexity and performance issues of SAGA.

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Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043429
Primary Topic
Evolutionary Algorithms and Applications
Type
article
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article

FPGA-Based Hardware Architecture for Sequence Alignment by Genetic Algorithm

Arkan Alkamil, J. Menzel, Lara García-Varela, Mokhles A. Mohsin et al.
Evolutionary Algorithms and Applications
article

FPGA-Based Hardware Architecture for Sequence Alignment by Genetic Algorithm

Arkan Alkamil, J. Menzel, Lara García-Varela, Mokhles A. Mohsin, Darshika G. Perera
article en

Abstract

With the advent of next-gen DNA sequencing technologies, there has been a massive growth in sequencing data and demand for analysis. The sequence of macromolecules such as DNA, RNA, and proteins are fundamental to the study of biology and medicine. Among many multiple sequence alignment techniques, Sequence Alignment by Genetic Algorithm (SAGA) generates high-quality alignments, but is computationally intensive, leading to low performance. In this paper, we propose an FPGA-based hardware architecture for SAGA to address the complexity and performance issues of SAGA.

University of Colorado System (US), University of Colorado Colorado Springs (US)
Openalex Percentile: Top 93%
Evolutionary Algorithms and Applications
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FPGA-Based Hardware Architecture for Sequence Alignment by Genetic Algorithm — Arkan Alkamil, J. Menzel, et al. · (2025) | TGRS Research Map | TGRS