Detecting particular features in C. elegans genomes using Synchronous Analysis based on Wavelet Transform

Authors:
Afef Elloumi Oueslati;Zied Lachiri;Noureddine Ellouze
Affiliations:
Unite Signal, Image et Reconnaissance de Formes, Departement de Genie Electrique, ENIT, BP 37, Campus Universitaire, Le Belvedere, 1002, Tunis, Tunisie.;Departement de Genie Physique et Instrumentation, INSAT, BP 676, Centre Urbain Cedex, 1080, Tunis, Tunisie.;Unite Signal, Image et Reconnaissance de Formes, Departement de Genie Electrique, ENIT, BP 37, Campus Universitaire, Le Belvedere, 1002, Tunis, Tunisie
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2011

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Abstract

In this paper, synchronous analysis based on wavelet transform is applied to genomic sequences. To focus on the particular feature of periodicity 3 in the protein-coding region of genes, a coding method is applied on the sequence, which will be segmented to form a pitch synchronous representation. This modelling concept captures period of period fluctuation of signals. The wavelet transform enhances the periodicity, and a given threshold is used to make decision about exon's positions. The algorithm simulation shows the accuracy of the method in simultaneously locating exons and revealing the reading frame associated.