title: Detecting particular features in C. elegans genomes using synchronous analysis based on wavelet transform.
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.
authors.affiliation: Unite Signal, Image et Reconnaissance de Formes, Departement de Genie Electrique, ENIT, BP 37, Campus Universitaire, Le Belvedere, 1002, Tunis, Tunisie.
authors.forename: Afef
authors.initials: A
authors.lastname: Elloumi Oueslati
authors.forename: Zied
authors.initials: Z
authors.lastname: Lachiri
authors.forename: Noureddine
authors.initials: N
authors.lastname: Ellouze
mesh_terms: D000465:Algorithms; D000818:Animals; D001483:Base Sequence; D017173:Caenorhabditis elegans / Q000235:genetics*; D049751:Genome, Helminth; D017422:Sequence Analysis, DNA / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis