Wavelet analysis of DNA sequences

Date of Award


Publication Type

Master Thesis

Degree Name



Electrical and Computer Engineering

First Advisor

Kwan, Hon (Electrical & Computer Engineering)


Biology, Genetics.



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


Using wavelet transform as a core signal processing technique, this thesis work provides a new insight into understanding the DNA sequences, specifically genes with variable protein coding capabilities. The GC-rich region of gene tends to show a universal pattern when analyzed using three different kinds of wavelet transforms and to verify this approach, various model organisms and genes with different biological importance are chosen for analysis. Two different types of input signal were created from DNA sequence using Voss representation and Z-curve. The three existing variants of wavelet transform applied are discrete, complex and wavelet packets. Thus, a total of six plots were obtained from DNA sequence (genes) of each model species. The discrete and complex wavelet techniques were also applied to longer versions of DNA sequence (chromosomes and isochores). The uniformity of results for these techniques in all chosen species confirms and validates the research idea.