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Research Article | Open Access |

Exon_Intron Separation Using Amino Acids Groups Frenquency Repartition as Coding Technique

Author 1: Afef Elloumi Oueslati Author 2: Noureddine Ellouze
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 5, No. 4 · Published 2014

DOI: 10.14569/IJACSA.2014.050405

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Abstract

this paper presents a new coding technique based on amino acids repartition in chromosome. The signal generated with this coding technique constitutes, after treatment, a new way to separate between exons and introns in a gene. The algorithm proposed is composed of six steps. We convert from ATCG to amino acids. We specify the amino acid order group. We constitute the signal based on group’s repartition. We apply a smoothing technique on resulting signal. We inverse the exons peaks from minima to maxima. We show the separation between exons and introns regions. We present here the results obtained on the gene reference G 56F11.

Keywords

exons introns amino acid coding technique amino acid repartition exons - introns separation

How to Cite this Article

Oueslati, A. E., & Ellouze, N. (2014). Exon_Intron Separation Using Amino Acids Groups Frenquency Repartition as Coding Technique. International Journal of Advanced Computer Science and Applications, 5(4). https://doi.org/10.14569/IJACSA.2014.050405

Oueslati, Afef Elloumi, and Noureddine Ellouze. "Exon_Intron Separation Using Amino Acids Groups Frenquency Repartition as Coding Technique." International Journal of Advanced Computer Science and Applications, vol. 5, no. 4, 2014, https://doi.org/10.14569/IJACSA.2014.050405.

@article{Oueslati2014,
  title     = {Exon_Intron Separation Using Amino Acids Groups Frenquency Repartition as Coding Technique},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {4},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Afef Elloumi Oueslati and Noureddine Ellouze},
  doi       = {10.14569/IJACSA.2014.050405},
  url       = {https://doi.org/10.14569/IJACSA.2014.050405}
}

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Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026
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