An intrinsic technique based on discrete wavelet decomposition for analysing phylogeny

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Abstract

The techniques for sequence analysis can be classified into two categories; sequence matching techniques and intrinsic techniques. Here we present an intrinsic technique of wavelet decomposition which uses the energy contained in the genomic signal for analysing the phylogenetic relationship between species. We apply the Discrete Wavelet transforms to analyze the intron-exon sequences which are represented as numerical series using electronion interaction potential. Wavelet transforms take advantage of the periodicity present in the genomic sequences and can adapt to the varying lengths of coding and non-coding sequences. This technique has been found to overcome the shortcomings of other techniques which make use of sequence comparison, since it uses the energy based decomposition to extract the patterns in the genomic data. © Springer-Verlag Berlin Heidelberg 2006.

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Nagar, A. K., Sokhi, D., & Tawfik, H. (2006). An intrinsic technique based on discrete wavelet decomposition for analysing phylogeny. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4251 LNAI-I, pp. 1051–1058). Springer Verlag. https://doi.org/10.1007/11892960_126

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