DocumentCode :
2747908
Title :
Graphical representation of DNA sequences
Author :
Arniker, Swarna Bai ; Kwan, Hon Keung
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
fYear :
2009
fDate :
7-9 June 2009
Firstpage :
311
Lastpage :
314
Abstract :
The sequencing of genomic data requires methods to allow this data to be visualized and analyzed. With the emergence of genomic signal processing, graphical representation techniques play a key role in applying digital signal processing techniques like Fourier transforms, and more recently, wavelet transform for visualizing DNA sequence. The choice of the graphical representation technique for a DNA sequence affects how well its biological properties can be reflected in the graphical domain for visualization and analysis of the characteristics of special regions of interest within the DNA sequence. This paper presents a summary of various DNA graphical representation methods and their applications in envisaging and analyzing long DNA sequences. A discussion on the comparative merits and demerits of the various methods and conclusions has also been included.
Keywords :
DNA; Fourier transforms; genetics; signal processing; wavelet transforms; DNA graphical representation; DNA sequence visualization; DNA sequences; Fourier transforms; biological properties; digital signal processing; genomic data; genomic signal processing; wavelet transform; Bioinformatics; Biomedical signal processing; DNA; Data visualization; Digital signal processing; Fourier transforms; Genomics; Humans; Organisms; Sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electro/Information Technology, 2009. eit '09. IEEE International Conference on
Conference_Location :
Windsor, ON
Print_ISBN :
978-1-4244-3354-4
Electronic_ISBN :
978-1-4244-3355-1
Type :
conf
DOI :
10.1109/EIT.2009.5189633
Filename :
5189633
Link To Document :
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