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For finding the relationship between one sequence and a set of sequences, we cannot apply the traditional LCS algorithms immediately.
Multiple Sequence Alignment (MSA) is a basic operation in Bioinformatics, and is used to highlight the similarities among a set of sequences.
Summarizing a set of sequences is an old topic that has been revived in the last decade, due to the increasing availability of sequential datasets.
Comparison methods may also be used to reveal some grouping within a set of sequences or to evaluate the strength of a predefined grouping of sequences.
Since SCOP release 1.55, the SCOP classification has been distributed in the form of a set of sequences, coordinates, and parseable files, all based on a new set of identifiers.
These vectors form a set of sequences of length m.
We consider ZCZPS, is a set of sequences of length and is a set of sequences of the same length : (1).
Suppose there is a set of sequences { ( X k, Y k ) | k = 0, 1, 2, …, n }.
Through this procedure, a set of sequences is generated and used to train the models.
As already mentioned, a dialogue is a set of sequences of dialogically signed expressions.
The user provides a set of sequences, to which the NCBI BLAST tool [16] associates a set of similar sequences.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com