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The escalating size of biological sequence databases correspondingly mirrors the increasing potential to delineate the intricate patterns of genetic diversity among all living things. However, realizing this promise hinges on the software's accessibility, its ability to incorporate significant data quantities, and its compatibility with modern high-performance computing systems. A re-engineered and enhanced technique, using indicator vectors, is presented in this study t
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