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MUSCLE is said to have four major steps in its alignment process. The first step constructs a distance matrix between pairs of sequences using k-mer clustering, this is then converted into a tree. The second step uses this tree to guide a progressive alignment. In the final two steps, the MUSCLE algorithm tries a number of different methods to see if it is possible to improve the tree and hence the multiple alignment.
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