Abstract
In this chapter, we study the global sequence alignment problem based on an extension of dynamic programming. We provide a method to model this problem using a directed acyclic graph which allows us to describe all optimal solutions specific to a certain cost function. Furthermore, we can optimize sequence alignments successively relative to different optimization criteria.
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References
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AbouEisha, H., Amin, T., Chikalov, I., Hussain, S., Moshkov, M. (2019). Global Sequence Alignment. In: Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining. Intelligent Systems Reference Library, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-319-91839-6_18
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DOI: https://doi.org/10.1007/978-3-319-91839-6_18
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Online ISBN: 978-3-319-91839-6
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