Share This Article:

2D Conjugate Maps of DNA Sequences

Abstract Full-Text HTML Download Download as PDF (Size:174KB) PP. 193-196
DOI: 10.4236/jis.2013.44021    3,301 Downloads   5,310 Views   Citations

ABSTRACT

Random sequences play an important role in wider security applications, such as mobile communication and network security. Due to DNA sequences owning natural randomness, in order to show DNA’s characteristics intuitively, this paper proposes a method to present DNA sequences as conjugate maps. The method includes two core models: measuring models to transfer DNA data into measurements, and visual models to test random sequences as distribution maps to show DNA’s characteristics. The spatial relations between sample DNA and CA random sequences are illustrated and compared in the end. The results show that the distribution of DNA sequences and CA random sequences has significant differences and similarities. It can provide a reference for in-depth visualization study of DNA sequences on their measurement maps.


Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Q. Bu and J. Zheng, "2D Conjugate Maps of DNA Sequences," Journal of Information Security, Vol. 4 No. 4, 2013, pp. 193-196. doi: 10.4236/jis.2013.44021.

References

[1] F. Liang and X. L. Zhang, “Using the Method of Random Test to Classify and Evaluate the Characteristics of Distribution Icons,” Proceedings of Asia-Pacific Youth Conference on Communicat ion (APYCC) (ISTP), 2010.
[2] S. L. Chen, W. Q. Yang and Q. R. Dong, “The Application and Simulation of M-Sequences Used in the Scrambling Code of Mobile Communications,” Modern Electronic Technology, No. 3, 2002, pp. 27-29.
[3] B. Schneier, “Secrets & Lies: Digital Security in Networked World,” John Wiley & Sons, Hoboken, 2000, pp. 85-101.
[4] R. Yang, “Research and Application of Pseudo-Random Sequence,” Journal of Shenyang Institute of Engineering, Vol. 5, No. 2, 2009, pp. 166-168.
[5] L. Shi, “On 2D Graphical Representation of DNA Sequences,” Science & Technology Information, No. 1, 2009, pp. 480-483.
[6] Jeffrey Z.-J. Zheng and Y. Zhou, “Variant Measure Visualization Model Using Cyclic Distributions of Complex 0-1 Sequences,” Proceedings of Asia-Pacific Youth Conference on Communication (APYCC) (ISTP), 2010.
[7] Z.-J. Jeffrey and Q. P. Li, “Testing the Characteristics of Spatial Distribution of Time Sequences Using Two-Dimensional Graphics,” Proceedings of Asia-Pacific Youth Conference on Communication (APYCC) (ISTP), 2010.
[8] http://www.ncbi.nlm.nih.gov
[9] R. Tarchini, P. Biddle, R. Wineland, S. Tingey and A. Rafalski, “The Complete Sequence of 340 kb of DNA around the Rice Adh1-adh2 Region Reveals Interrupted Colinearity with Maize Chromosome 4,” Plant Cell, Vol. 12, No. 3, 2000, pp. 381-391.
[10] X. Zhang, C. Feschotte, Q. Zhang, N. Jiang, W. B. Eggleston and S. R. P. Wessler, “Instability Factor: An Active Maize Transposon System Associated with the Amplification of Tourist-Like MITEs and A New Super Family of Transposases,” Proceedings of the National Academy of Sciences of the United States of America, Vol. 98, No. 22, 2011, pp. 12572-12577. http://dx.doi.org/10.1073/pnas. 211442198

  
comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.