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An Efficient Ant Colony Algorithm for DNA Motif Finding

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Knowledge and Systems Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 326))

Abstract

Finding motifs in gene sequences is one of the most important problems of bioinformatics and belongs to NP-hard type. This paper proposes a new ant colony optimization algorithm based on consensus approach, in which a relax technique is applied to find the location of the motif. The efficiency of the algorithm is evaluated by comparing it with the state-of-the-art algorithms.

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Correspondence to Hoang X. Huan .

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Huan, H.X., Tuyet, D.T.A., Ha, D.T.T., Hung, N.T. (2015). An Efficient Ant Colony Algorithm for DNA Motif Finding. In: Nguyen, VH., Le, AC., Huynh, VN. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-11680-8_47

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  • DOI: https://doi.org/10.1007/978-3-319-11680-8_47

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11679-2

  • Online ISBN: 978-3-319-11680-8

  • eBook Packages: EngineeringEngineering (R0)

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