Abstract
This work proposes a new approach to the alignment of multiple sequences. We take profit from some results on Grammatical Inference that allow us to build iteratively an abstract machine that considers in each inference step an increasing amount of sequences. The obtained machine compile the common features of the sequences, and can be used to align these sequences. This method improves the time complexity of current approaches. The experimentation carried out compare the performance of our method and previous alignment methods.
This work is partially supported by the Spanish Ministerio de Educacion y Ciencia, under contract TIN2007-60769, and Generalitat Valenciana, contract GV06/068.
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Campos, M., López, D., Peris, P. (2007). Incremental Multiple Sequence Alignment. In: Rueda, L., Mery, D., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2007. Lecture Notes in Computer Science, vol 4756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76725-1_63
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DOI: https://doi.org/10.1007/978-3-540-76725-1_63
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