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Motif discovery in biological sequences is of prime importance and a major challenge in computational biology.
Biological sequences are non-random.
Biological sequences are an abstraction of an abstraction.
Because biological sequences are not purely random, statistical tests might help screen sequences of interest.
Once HPV enters the cells, two distinct biological sequences are possible.
Finding new functional fragments in biological sequences is a challenging problem.
Whether the performance in simulation translates to real biological sequences is still questionable.
Matching (also known as mapping) biological sequences is essentially a computational task.
The recognition of functionally significant fragments in biological sequences is a key issue in computational biology.
The estimation of a distance between two biological sequences is a fundamental process in molecular evolution.
Graphical representation of biological sequences is one of the most commonly used models to analyze protein sequences [ 6– 26].
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