Vol. 3 No. 1 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

Evolutionary Optimization in Bioinformatics - Sequence Alignment

Laura Patel
Lecturer, Department of AI Applications, Horizon College, Toronto, Canada
Cover

Published 17-04-2023

Keywords

  • Evolutionary Optimization,
  • Bioinformatics,
  • Sequence Alignment,
  • DNA Sequences,
  • Phylogenetic Analysis

How to Cite

[1]
Laura Patel, “Evolutionary Optimization in Bioinformatics - Sequence Alignment”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 1, pp. 31–41, Apr. 2023, Accessed: Jul. 01, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/6

Abstract

Sequence alignment is a fundamental task in bioinformatics, crucial for comparing biological sequences to uncover similarities, infer evolutionary relationships, and predict functional properties. Evolutionary optimization techniques have shown promise in enhancing the accuracy and efficiency of sequence alignment algorithms. This paper provides a comprehensive review and analysis of evolutionary optimization approaches for sequence alignment, focusing on DNA sequence alignment, protein structure prediction, and phylogenetic analysis. The study highlights the benefits, challenges, and applications of these techniques in bioinformatics, offering insights into their future potential and research directions.

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