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Genetic Algorithm-Based Motif Search Problem: A Review

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Smart Intelligent Computing and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 159))

Abstract

In bioinformatics, the amelioration of adequate computational algorithms for motif discovery is one of the biggest challenges. In the current genomic age, the potentiality to address the behavioural, functional and structural aspect of motifs plays a crucial role in the understanding of different biological mechanisms. This paper attempts to review and explore the use of evolutionary algorithms particularly the genetic algorithm used by the researchers in the past decade towards the search for motifs in biological sequences. This review focuses on the conventional genetic algorithm-based approach to motif search and analyses the latest advancement in this domain. Author feels this study will be very helpful for the researchers specially working on the genetic algorithm-based motif search problem.

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Correspondence to Satarupa Mohanty .

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Appendix

Appendix

See Table 1.

Table 1 List of Motif discovery algorithms based on an evolutionary approach

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Mohanty, S., Mohanty, S. (2020). Genetic Algorithm-Based Motif Search Problem: A Review. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 159. Springer, Singapore. https://doi.org/10.1007/978-981-13-9282-5_69

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