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Detection and Characterization of Local Inverted Repeats Regularities

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Practical Applications of Computational Biology and Bioinformatics, 13th International Conference (PACBB 2019)

Abstract

To explore the inverted repeats regularities along the genome sequences, we propose a sliding window method to extract the concentration scores of inverted repeats periodic regularities and the total mass of possible inverted repeats pairs. We apply the method to the human genome and locate the regions with the potential for the formation of large number of hairpin/cruciform structures. The number of found windows with periodic regularities is small and the patterns of occurrence are chromosome specific.

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Acknowledgment

This work was supported by FEDER (“Programa Operacional Fatores de Competitividade” - COMPETE) and FCT (“Fundação para a Ciência e a Tecnologia”), within the projects UID/MAT/04106/2019 to CIDMA (Center for Research and Development in Mathematics and Applications) and UID/CEC/00127/2019 to IEETA (Institute of Electronics and Informatics Engineering of Aveiro).

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Correspondence to Carlos A. C. Bastos .

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Bastos, C.A.C., Afreixo, V., Rodrigues, J.M.O.S., Pinho, A.J. (2020). Detection and Characterization of Local Inverted Repeats Regularities. In: Fdez-Riverola, F., Rocha, M., Mohamad, M., Zaki, N., Castellanos-Garzón, J. (eds) Practical Applications of Computational Biology and Bioinformatics, 13th International Conference. PACBB 2019. Advances in Intelligent Systems and Computing, vol 1005 . Springer, Cham. https://doi.org/10.1007/978-3-030-23873-5_14

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