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Sequence alignment
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===Iterative methods=== Iterative methods attempt to improve on the heavy dependence on the accuracy of the initial pairwise alignments, which is the weak point of the progressive methods. Iterative methods optimize an [[objective function]] based on a selected alignment scoring method by assigning an initial global alignment and then realigning sequence subsets. The realigned subsets are then themselves aligned to produce the next iteration's multiple sequence alignment. Various ways of selecting the sequence subgroups and objective function are reviewed in.<ref name=hirosawa>{{cite journal | journal=Comput Appl Biosci | volume=11 | pages=13β8 | year=1995 |author1=Hirosawa M |author2=Totoki Y |author3=Hoshida M |author4=Ishikawa M. | title=Comprehensive study on iterative algorithms of multiple sequence alignment | pmid=7796270 | doi = 10.1093/bioinformatics/11.1.13 | issue=1 }}</ref>
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