Abstract
We present a mathematical framework for anchoring inglobal multiple alignment. Our framework uses anchors that are hits to spaced seeds and identifies anchors progressively, using a phylogenetic tree. We compute anchors in the tree starting at the root and going to the leaves, and from the leaves going up. In both cases, we compute thresholds for anchors to minimize errors. One innovative aspect of our approach is the approximate inference of ancestral sequences with accomodation for ambiguity. This, combined with proper scoring techniques and seeding, lets us pick many anchors in homologous positions as we align up a phylogenetic tree, minimizing total work. Our algorithm is reasonably successful in simulations, is comparable to existing software in terms of accuracy and substantially more efficient.
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Brown, D.G., Hudek, A.K. (2004). New Algorithms for Multiple DNA Sequence Alignment. In: Jonassen, I., Kim, J. (eds) Algorithms in Bioinformatics. WABI 2004. Lecture Notes in Computer Science(), vol 3240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30219-3_27
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DOI: https://doi.org/10.1007/978-3-540-30219-3_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23018-2
Online ISBN: 978-3-540-30219-3
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