An intrinsic technique based on discrete wavelet decomposition for analysing phylogeny

  • Authors:

  • Atulya K. Nagar;Dilbag Sokhi;Hissam Tawfik

  • Affiliations:

  • Intelligent and Distributed Systems Research Laboratory, Deanery of Business and Computer Sciences, Liverpool Hope University, Liverpool, U.K.;Intelligent and Distributed Systems Research Laboratory, Deanery of Business and Computer Sciences, Liverpool Hope University, Liverpool, U.K.;Intelligent and Distributed Systems Research Laboratory, Deanery of Business and Computer Sciences, Liverpool Hope University, Liverpool, U.K.

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
  • Year:
  • 2006

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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 electron-ion 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.