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DOI: 10.14569/IJACSA.2018.090438
PDF

Helitron’s Periodicities Identification in C.Elegans based on the Smoothed Spectral Analysis and the Frequency Chaos Game Signal Coding

Author 1: Rabeb Touati
Author 2: Imen Messaoudi
Author 3: Afef Elloumi Ouesleti
Author 4: Zied Lachiri

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 4, 2018.

  • Abstract and Keywords
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Abstract: Helitrons are typical rolling circle transposons which make up the bulk of eukaryotic genomes. Unlike of other DNA transposons, these transposable elements (TEs), don’t create target site duplications or end in inverted repeats, which make them particular challenge to identify and more difficult to annotate. To date, these elements are not well studied; they only attracted the interest of researchers in biology. The focus of this paper is oriented towards identifying the helitrons in C.elegans genome in the perspective of signal processing. Aiming at the helitron's identification, a novel methodology including two steps is proposed: the coding and the spectral analysis. The first step consists in converting DNA into a 1-D signal based on the statistical features of the sequence (FCGS coding). As for the second step, it aims to identify the global periodicities in helitrons using the Smoothed Fourier Transform. The resulting spectrum and spectrogram are shown to present a specific signature of each helitron’s type.

Keywords: Helitrons; C.elegans; Frequency Chaos Game Signal (FCGS) coding; spectral analysis; tandem periodicities

Rabeb Touati, Imen Messaoudi, Afef Elloumi Ouesleti and Zied Lachiri, “Helitron’s Periodicities Identification in C.Elegans based on the Smoothed Spectral Analysis and the Frequency Chaos Game Signal Coding” International Journal of Advanced Computer Science and Applications(IJACSA), 9(4), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090438

@article{Touati2018,
title = {Helitron’s Periodicities Identification in C.Elegans based on the Smoothed Spectral Analysis and the Frequency Chaos Game Signal Coding},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090438},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090438},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {4},
author = {Rabeb Touati and Imen Messaoudi and Afef Elloumi Ouesleti and Zied Lachiri}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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