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Title

An Intelligent Optimization Model for Fragment Assembly Problem

  Osama Maher 1

1  Faculty of Engineering, Fayoum University, Fayoum , Egypt
    (eng.osamamaher21@gmail.com)


Doi   :   https://doi.org/10.54216/FPA.070201

Received: December 09, 2021 Accepted: April 3, 2022

Abstract :

problem as it requires rebuilding the original sequence of DNA from a massive number of fragments. This paper introduces an efficient hybridization between Harris Hawks Optimization (HHO) and Problem Aware Local Search (PALS) to be utilized in solving DNA Fragment Assembly Problem (FAP). The efficiency of the proposed hybrid algor In computational molecular biology, the sequencing of Deoxyribonucleic Acid (DNA) is a very challenging ithm (PHHO) is compared with the original PALS, Firefly Algorithm (FA), Genetic Algorithm (GA), Artificial Bee Colony (ABC), and GAG50. The experimental results show the efficiency of the proposed algorithm compared to other approaches.

Keywords :

Computational Molecular Biology , Problem Aware Local Search , Harris Hawks Optimization , DNA Fragment Assembly Problem , Optimization

References :

[1] Knetsch, C. W., van der Veer, E. M., Henkel, C., & Taschner, P. (2019). DNA Sequencing. In Molecular

Diagnostics (pp. 339-360). Springer, Singapore.

[2] Huang, X., & Madan, A. (1999). CAP3: A DNA sequence assembly program. Genome research, 9(9), 868-

877.

[3] Green, P. (2009). Phrap, version 1.090518; 2009.

[4] Myers, E. W., Sutton, G. G., Delcher, A. L., Dew, I. M., Fasulo, D. P., Flanigan, M. J., ... & Anson, E. L.

(2000). A whole-genome assembly of Drosophila. Science, 287(5461), 2196-2204.

[5] Sutton, G. G., White, O., Adams, M. D., & Kerlavage, A. R. (1995). TIGR Assembler: A new tool for

assembling large shotgun sequencing projects. Genome Science and Technology, 1(1), 9-19.

[6] Chen, T., & Skiena, S. S. (2000). A case study in genome-level fragment assembly. Bioinformatics, 16(6),

494-500.

[7] Firoz, J. S., Rahman, M. S., & Saha, T. K. (2012, July). Bee algorithms for solving DNA fragment assembly

problem with noisy and noiseless data. In Proceedings of the 14th annual conference on Genetic and

evolutionary computation ,201-208.

[8] Minetti, G., Alba, E., & Luque, G. (2008). Seeding strategies and recombination operators for solving the

DNA fragment assembly problem. Information Processing Letters, 108(3), 94-100.

[9] Ezzeddine, A. B., Kasala, S., & Navrat, P. (2014). Applying the firefly approach to the DNA fragments

assembly problem. In Annales Univ. Sci. Budapest., Sect. Comp, 69-81.

[10] Allaoui, M., Ahiod, B., & El Yafrani, M. (2018). A hybrid crow search algorithm for solving the DNA

fragment assembly problem. Expert Systems with Applications, 102, 44-56.

[11] Minetti, G., & Alba, E. (2010, July). Metaheuristic assemblers of DNA strands: Noiseless and noisy cases. In

IEEE Congress on Evolutionary Computation (pp. 1-8). IEEE.

[12] Earl, D., Bradnam, K., John, J. S., Darling, A., Lin, D., Fass, J., ... & Nguyen, N. (2011). Assemblathon 1: a

competitive assessment of de novo short read assembly methods. Genome research, 21(12), 2224-2241.

[13] Heidari, A. A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M., & Chen, H. (2019). Harris hawks

optimization: Algorithm and applications. Future generation computer systems, 97, 849-872.

[14] Abdel-Basset, M., Abdel-Fatah, L., & Sangaiah, A. K. (2018). Metaheuristic algorithms: A comprehensive

review. In Computational intelligence for multimedia big data on the cloud with engineering applications

(pp. 185-231). Academic Press.


Cite this Article as :
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MLA Osama Maher. "An Intelligent Optimization Model for Fragment Assembly Problem." Fusion: Practice and Applications, Vol. 7, No. 2, 2022 ,PP. 66-78 (Doi   :  https://doi.org/10.54216/FPA.070201)
APA Osama Maher. (2022). An Intelligent Optimization Model for Fragment Assembly Problem. Journal of Fusion: Practice and Applications, 7 ( 2 ), 66-78 (Doi   :  https://doi.org/10.54216/FPA.070201)
Chicago Osama Maher. "An Intelligent Optimization Model for Fragment Assembly Problem." Journal of Fusion: Practice and Applications, 7 no. 2 (2022): 66-78 (Doi   :  https://doi.org/10.54216/FPA.070201)
Harvard Osama Maher. (2022). An Intelligent Optimization Model for Fragment Assembly Problem. Journal of Fusion: Practice and Applications, 7 ( 2 ), 66-78 (Doi   :  https://doi.org/10.54216/FPA.070201)
Vancouver Osama Maher. An Intelligent Optimization Model for Fragment Assembly Problem. Journal of Fusion: Practice and Applications, (2022); 7 ( 2 ): 66-78 (Doi   :  https://doi.org/10.54216/FPA.070201)
IEEE Osama Maher, An Intelligent Optimization Model for Fragment Assembly Problem, Journal of Fusion: Practice and Applications, Vol. 7 , No. 2 , (2022) : 66-78 (Doi   :  https://doi.org/10.54216/FPA.070201)