Large-Scale Multiple Sequence Alignment and the Maximum Weight Trace Alignment Merging Problem.
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DOI: 10.1109/tcbb.2022.3191848
Abstract: MAGUS is a recent multiple sequence alignment method that provides excellent accuracy on large challenging datasets. MAGUS uses divide-and-conquer: it divides the sequences into disjoint sets, computes alignments on the disjoint sets, and then merges… read more here.
Keywords: problem; maximum weight; sequence alignment; multiple sequence ... See more keywords