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Abstract
Within development of Bioinformatics, pattern mining has become
a critical point of attention. Patterns on Biological sequences,
specially repeated patterns, usually shows relevant structural
o functional features. As a result of several studies, Susumu
Ohno proposed a set of rules that most species should fulfill
in order to accomplisg their evolution aspects. The present work
validates such rules using frequent pattern mining and Markov
Chain Techniques assessing 32,074 DNA sequences from diverse
biological organisms from GenBank Biological database
as a part of National Center of Biotechnology Information from
National Health Institute of the United States. This could identify
organisms that possess particularities that diers on their
evolutionWithin development of Bioinformatics, pattern mining has become
a critical point of attention. Patterns on Biological sequences,
specially repeated patterns, usually shows relevant structural
o functional features. As a result of several studies, Susumu
Ohno proposed a set of rules that most species should fulfill
in order to accomplisg their evolution aspects. The present work
validates such rules using frequent pattern mining and Markov
Chain Techniques assessing 32,074 DNA sequences from diverse
biological organisms from GenBank Biological database
as a part of National Center of Biotechnology Information from
National Health Institute of the United States. This could identify
organisms that possess particularities that diers on their
evolution
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References
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