Abstract
In bioinformatics, Multiple Sequence Alignment (MSA) is an NP-complete problem. This alignment problem is important in computational biology due to its usefulness in extracting and representing biological importance among sequences by finding similar regions. MSA is also helpful for finding the secondary or tertiary structure of the protein and using it critical anonymousness motives of DNA or Protein can also be found. For solving the problem, we have proposed a method based on Chemical Reaction Optimization (CRO). We have redesigned the basic four operators of CRO and three new operators have been designed to solve the problem. The additional operators are needed in order to arrange the base symbols properly. For testing the efficiency of our proposed method DNA sequences have taken from the different sources. We have compared the experimental results of the proposed method with clustal-omega and got better results for DNA sequences.
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Wadud, M.S., Islam, M.R., Kundu, N., Kabir, M.R. (2020). Multiple Sequence Alignment Using Chemical Reaction Optimization Algorithm. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_104
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DOI: https://doi.org/10.1007/978-3-030-16660-1_104
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