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And the last, conclusions are provided in Section 6. Notations: In this paper, the correlation between two sequences is referred to periodic correlation if not specifically pointed out; and we will use upper (lower) boldface letters to denote matrix (column vectors).
The overall pairwise similarity between two sequences is defined as the minimum of these two scores.
The distance between two sequences is the mean of distances between those two sequences in the trees in which both sequences appeared.
The global alignment between two sequences is computed by the Needleman-Wunsch algorithm implemented in the EMBOSS package [49], with following parameters: gap opening penalty = 10, gap extension penalty = 0.5, scoring matrix = BLOSUM62.
After trajectory is smoothened, the search of large-scale correlations between two sequences is done by calculation of two measures: the measure of closeness and the measure of complexity of two curvilinear trajectories.
The similarity between two sequences is determined by comparing the degree of word overlap between two profiles with the expected overlap given the number of words in each sequence.
Similar(38)
Instead we devised a new method in which the distance between two sequences was calculated using pair-wise global alignments (Needleman-Wunsch) in which differences in length for homopolymers were not counted as differences.
The percentage sequence similarity (PSS) between two sequences was
If matches between two sequences are to be found, the situation is slightly more complicated.
Dot plot analysis between two sequences was performed using program DOTTER [ 44].
On a few occasions, recombination between two sequences was the best explanation for incompatible motifs in an alignment.
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