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A time warping approach to multiple sequence alignment

Abstract : We propose an approach for multiple sequence alignment (MSA) derived from the dynamic time warping viewpoint and recent techniques of curve synchronization developed in the context of functional data analysis. Starting from pairwise alignments of all the sequences (viewed as paths in a certain space), we construct a median path that represents the MSA we are looking for. We establish a proof of concept that our method could be an interesting ingredient to include into refined MSA techniques. We present a simple synthetic experiment as well as the study of a benchmark dataset, together with comparisons with 2 widely used MSA softwares.
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Contributor : Catherine Matias Connect in order to contact the contributor
Submitted on : Thursday, January 5, 2017 - 5:45:09 PM
Last modification on : Sunday, June 26, 2022 - 5:27:57 AM


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Ana Arribas-Gil, Catherine Matias. A time warping approach to multiple sequence alignment. Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2017, 16 (2), pp.133-144. ⟨10.1515/sagmb-2016-0043⟩. ⟨hal-01332542v2⟩



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