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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 154))

Abstract

Nowadays, the exponential availability of biological sequences and the complexity of the computational methods that use them as input motivate the research of new compact representations. To this end, we propose an alternative method for storing sets of sequences based on set decision diagrams instead of classical compression techniques. The set decision diagrams are an extension of the reduced ordered binary decision diagrams, a graph data structure used as a symbolic compact representation of sets or relations between sets. Some experiments with genes of the mitochondrion DNA support the feasibility of our approach.

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Correspondence to José Ignacio Requeno .

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Requeno, J.I., Colom, J.M. (2012). Compact Representation of Biological Sequences Using Set Decision Diagrams. In: Rocha, M., Luscombe, N., Fdez-Riverola, F., Rodríguez, J. (eds) 6th International Conference on Practical Applications of Computational Biology & Bioinformatics. Advances in Intelligent and Soft Computing, vol 154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28839-5_27

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  • DOI: https://doi.org/10.1007/978-3-642-28839-5_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28838-8

  • Online ISBN: 978-3-642-28839-5

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