Morteza Hosseini, Diogo Pratas, Armando J. Pinho
In this paper, we propose a computational approach to quantify inverted repeats. This is important, because it is known that the presence of inverted repeats in genomic data may be associated to certain chromosomal rearrangements. First, we present a reference-based relative compression method, which employs statistical characteristics of the genomic data. Then, for determining the similarity between genomic sequences, we use the normalized relative compression measure, which is light-weight regarding computational time and memory. Testing this approach on various species, including human, chimpanzee, gorilla, chicken, turkey and archaea genomes, we unveil unreported results that may support several evolution insights.
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