Abstract
This paper presents a novel approach, called MWPAlign Maximum Weighted Path approach to multiple ALIGNment, to perform global multiple alignment of DNA sequences. In our method, de Bruijn graph is used to describe input sequences information. As a result, a consensus-finding problem can be transformed to a maximum weighted path problem of the graph. MWPAlign gets almost linear computation speed of multiple sequences alignment problem. Experimental results show that the proposed algorithm is feasible, and for large number of sequences with lower mutation rate 5.2%, MWPAlign generates better alignment and has a lower computation time as compared to CLUSTALW, T-Coffee and HMMT.
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© 2006 Springer-Verlag Berlin Heidelberg
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Huo, H., Stojkovic, V., Xiao, Z. (2006). A Maximum Weighted Path Approach to Multiple Alignments for DNA Sequences. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_41
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DOI: https://doi.org/10.1007/11881223_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45907-1
Online ISBN: 978-3-540-45909-5
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