Applying the Linear Spectral Estimation Techniques for both DNA Sequence Analysis and Exon Region Prediction
Dessouky, A., Eltholth, A., Taha, T., Abd El-samie, F. (2019). Applying the Linear Spectral Estimation Techniques for both DNA Sequence Analysis and Exon Region Prediction. EKB Journal Management System, 28(1), 197-216. doi: 10.21608/mjeer.2019.62752
Ahmed Dessouky; Ashraf Eltholth; Taha E. Taha; Fathi Abd El-samie. "Applying the Linear Spectral Estimation Techniques for both DNA Sequence Analysis and Exon Region Prediction". EKB Journal Management System, 28, 1, 2019, 197-216. doi: 10.21608/mjeer.2019.62752
Dessouky, A., Eltholth, A., Taha, T., Abd El-samie, F. (2019). 'Applying the Linear Spectral Estimation Techniques for both DNA Sequence Analysis and Exon Region Prediction', EKB Journal Management System, 28(1), pp. 197-216. doi: 10.21608/mjeer.2019.62752
Dessouky, A., Eltholth, A., Taha, T., Abd El-samie, F. Applying the Linear Spectral Estimation Techniques for both DNA Sequence Analysis and Exon Region Prediction. EKB Journal Management System, 2019; 28(1): 197-216. doi: 10.21608/mjeer.2019.62752

Applying the Linear Spectral Estimation Techniques for both DNA Sequence Analysis and Exon Region Prediction

Menoufia Journal of Electronic Engineering Research
Article 12, Volume 28, Issue 1, January 2019, Page 197-216  XML
Document Type: Original Article
DOI: 10.21608/mjeer.2019.62752
View on SCiNiTO View on SCiNiTO
Authors
Ahmed Dessouky* 1; Ashraf Eltholth2; Taha E. Taha3; Fathi Abd El-samie3
1Al Alson Academy, Cairo, Egypt
2NTI, Cairo, Egypt
3Faculty of Electronic Engineering, Menouf, Egypt.
Abstract
Bioinformatics means the analysis of biological information using
computers and statistical techniques. This paper presents the linear
spectral estimation techniques based on DFT that applied for the
analysis of deoxyribonucleic acid (DNA) sequence. These methods
are useful frequency domain presentation techniques which
improve the analysis of DNA sequence. The representation of DNA
sequence in frequency domain is useful to extract some desirable
information which cannot be extracted from the time domain
analysis of that sequence. In addition, this paper investigates the
location of exon in DNA sequences using linear spectral estimation
techniques for gene prediction in DNA sequences in exon. A
comparison study between all these linear spectral estimation
techniques is performed.
References
; "> ]1[Attwood, T. and C. Miller, Progress in bioinformatics and the importance
of being earnest. Biotechnology Annual Review, 2002: pp.1-54.
]2[Luscombe, N.M., D. Greenbaum, and M. Gerstein, What is bioinformatics?
A proposed definition and overview of the field. Methods of information
in medicine, 2001. 40(4): pp. 346-358.
]3[Anastassiou, D., Genomic signal processing. Signal Processing Magazine,
IEEE, 2001. 18 (4): pp. 8-20.
]4[Inbamalar, T. and R. Sivakumar, Study of DNA sequence analysis using
DSP Techniques. Journal of Automation and Control Engineering Vol,
2013. 1(4): pp. 336-342.
]5[Saberkari, H., et al., A fast algorithm for exonic regions prediction in DNA
sequences. Journal of medical signals and sensors, 2013. 3(3): pp. 139-
147.
]6[Saberkari, H., et al. Prediction of protein coding regions in DNA sequences
using signal processing methods. in Industrial Electronics and Applications
(ISIEA), IEEE Symposium on. 2012 :pp. 355-360.
]7[ Berger, J., S. Mitra, and J. Astola. Power spectrum analysis for DNA
sequences. in Signal Processing and Its Applications,. Proceedings.
Seventh International Symposium, IEEE ,2003: pp.29-32.
]8[Abo-Zahhad, M., S.M. Ahmed, and S.A. Abd-Elrahman, Genomic analysis
and classification of exon and intron sequences using DNA numerical
mapping techniques. International Journal of Information Technology and
Computer Science (IJITCS), 2012. 4(8): pp. 22-36.
]9[Mabrouk, M., S.,“A Study of the Potential of EIIP Mapping Method in
Exon Prediction Using the Frequency Domain Techniques,”. American
Journal of Biomedical Engineering, Vol, 2012. 2 (2): pp. 17-22.
]10[Nair, A.S. and S.P. Sreenadhan, A coding measure scheme employing
electron-ion interaction pseudopotential (EIIP). Bioinformation, 2006.
1(6): pp. 197-202
]11[ Yin, C. and S.S.-T. Yau. Numerical representation of DNA sequences
based on genetic code context and its applications in periodicity analysis
of genomes. in Computational Intelligence in Bioinformatics and
Computational Biology, IEEE Symposium on. 2008: pp. 223-227.
]12[bai Arniker, S. and H.K. Kwan. Advanced numerical representation of
DNA sequences. in International Conference on Bioscience,
Biochemistry and Bioinformatics IPCBEE. 2012.31 : pp. 2-5.
]13[Heba M. Wassfy, Mohamed L. Salem, Moustafa M. Abdelnaby, Mai S.
Mabrouk, Abdel Aziz Zidan, Advanced DNA Mapping Schemes for
Exon Prediction Using Digital Filters. American Journal of Biomedical
Engineering, Vol 6(1), 2016: pp. 25-31.

troke-width: 0px; "> ]14[ Nazib, A., A. Amimul Ahsan, and D. Rahman, Evaluation of information
theory in analyzing DNA sequences. Int. J. Comput. Inf. Technol, 2012.
2(02): pp. 44-46.
]15[ John G. Proakis, Charles M. Rader, Fuyun Ling, And Chrysostomos L.
Nikias, “ Advanced Digital Signal Processing “Maxwell Macmillan
International, New York, Usa. 1992 .
]16[ Sophocles J. Orfanidis, “ Optimum Signal Processing: An Introduction”,
Mcgraw-Hill Book Company, 1990.
]17[ N. Kalouptsidis, “Signal Processing Systems, Theory And Design”, John
Wiely And Sons, Inc. 1997 .
]18[ Glenn Zelniker And Fred J. Taylor, ” Advanced Digital Signal
Processing: Theory And Applications ”, Marcel Dekker, Inc., New York
1994.
[19] Enders A. Robinson, “A Historical Perspective Of Spectrum Estimation”
Proc. of The IEEE, Vol.70, No.9, Sept.1982, pp.885-907

Statistics
Article View: 219