title: Wavelet analysis of frequency chaos game signal: a time-frequency signature of theC. elegansDNA.
abstract: Challenging tasks are encountered in the field of bioinformatics. The choice of the genomic sequence's mapping technique is one the most fastidious tasks. It shows that a judicious choice would serve in examining periodic patterns distribution that concord with the underlying structure of genomes. Despite that, searching for a coding technique that can highlight all the information contained in the DNA has not yet attracted the attention it deserves. In this paper, we propose a new mapping technique based on the chaos game theory that we call the frequency chaos game signal (FCGS). The particularity of the FCGS coding resides in exploiting the statistical properties of the genomic sequence itself. This may reflect important structural and organizational features of DNA. To prove the usefulness of the FCGS approach in the detection of different local periodic patterns, we use the wavelet analysis because it provides access to information that can be obscured by other time-frequency methods such as the Fourier analysis. Thus, we apply the continuous wavelet transform (CWT) with the complex Morlet wavelet as a mother wavelet function. Scalograms that relate to the organismCaenorhabditis elegans (C. elegans)exhibit a multitude of periodic organization of specific DNA sequences.
authors.affiliation: Ecole Nationale d'Ingénieurs de Tunis, LR Signal, Images et Technologies de l'Information, Université de Tunis El Manar, BP 37, le Belvédère, Tunis, 1002 Tunisia.
authors.forename: Imen
authors.initials: I
authors.lastname: Messaoudi
authors.affiliation: Ecole Nationale d'Ingénieurs de Tunis, LR Signal, Images et Technologies de l'Information, Université de Tunis El Manar, BP 37, le Belvédère, Tunis, 1002 Tunisia.
authors.forename: Afef Elloumi
authors.initials: AE
authors.lastname: Oueslati
authors.affiliation: Ecole Nationale d'Ingénieurs de Tunis, LR Signal, Images et Technologies de l'Information, Université de Tunis El Manar, BP 37, le Belvédère, Tunis, 1002 Tunisia.|Département de Génie Physique et Instrumentation, INSAT, Centre Urbain Cedex, BP 676, Tunis, 1080 Tunisia.
authors.forename: Zied
authors.initials: Z
authors.lastname: Lachiri
keywords: C. elegans; Complex Morlet wavelet scalogram; Continuous wavelet transform; Frequency chaos game signal; Local signature