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- W2977820926 abstract "Entropy-based divergence measures have shown promising results in many areas of engineering and image processing. In this study, we use the Jensen-Shannon and Jensen-Renyi divergence measures for recursive segmentation of DNA sequences in order to find borders between coding and noncoding regions. Heterogeneous DNA sequences that are comprised of the four nucleotides A, C, G, and T and the stop codons can be partitioned into homogeneous domains. We introduce a new 18 symbol alphabet that captures: (i) the differential base composition in codons, and (ii) the differential stop codon composition along three phases in both DNA strands. For two entire genomes of bacteria our results obtained using the new approach, based on Jensen-Renyi divergence and the new 18 symbol alphabet, are more accurate than those obtained using the standard approach, based on Jensen-Shannon divergence, when searching for borders between coding and noncoding DNA regions." @default.
- W2977820926 created "2019-10-10" @default.
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- W2977820926 date "2003-01-01" @default.
- W2977820926 modified "2023-09-26" @default.
- W2977820926 title "Information divergence measures-for detection of borders between coding and noncoding DNA regions using recursive entropic segmentation" @default.
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