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A Novel Analysis Model for DNA Sequences
May 27-May 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.1992008 International Conference on BioM ...
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Xianyang Jiang, Stephen S.-T. Yau, "A Novel Analysis Model for DNA Sequences," BioMedical Engineering and Informatics, International Conference on, vol. 1, pp. 24-28, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.199,
author = {Xianyang Jiang and Stephen S.-T. Yau},
title = {A Novel Analysis Model for DNA Sequences},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {1},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {24-28},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.199},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - A Novel Analysis Model for DNA Sequences
SN - 978-0-7695-3118-2
SP24
EP28
A1 - Xianyang Jiang,
A1 - Stephen S.-T. Yau,
PY - 2008
KW - Analysis model
KW - coding region detection
KW - Discrete Fourier Transform (DFT)
KW - DNA sequence
KW - representation method
VL - 1
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
A novel analysis model for DNA sequence based on Stephen S. -T. Yau's method is presented. The model adopts a trigonometric function to represent the four nucleotides A, G, C, and T in a DNA sequence, and has some interesting characteristics. Basing on the characteristics, statistical experiments on human gene coding regions show high possibility of significant peak at the frequency k = N/3 in their spectrum with respect to our model. The experimental results demonstrate potential application of the model in coding region detection.
Index Terms:
Analysis model, coding region detection, Discrete Fourier Transform (DFT), DNA sequence, representation method
Citation:
Xianyang Jiang, Stephen S.-T. Yau, "A Novel Analysis Model for DNA Sequences," bmei, vol. 1, pp.24-28, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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