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International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)
Frequency-Domain Algorithms for Visual Analysis on Genomic Structures in Prokaryotes
Sydney, Australia
July 26-July 28
ISBN: 0-7695-2606-3
ASCII Text
x 
 
Lee Sing Cheong, Feng Lin, Hock Soon Seah, "Frequency-Domain Algorithms for Visual Analysis on Genomic Structures in Prokaryotes," Computer Graphics, Imaging and Visualization, International Conference on, pp. 96-103, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/CGIV.2006.47,
author = {Lee Sing Cheong and Feng Lin and Hock Soon Seah},
title = {Frequency-Domain Algorithms for Visual Analysis on Genomic Structures in Prokaryotes},
journal ={Computer Graphics, Imaging and Visualization, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2606-3},
pages = {96-103},
doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.47},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Graphics, Imaging and Visualization, International Conference on
TI - Frequency-Domain Algorithms for Visual Analysis on Genomic Structures in Prokaryotes
SN - 0-7695-2606-3
SP96
EP103
A1 - Lee Sing Cheong,
A1 - Feng Lin,
A1 - Hock Soon Seah,
PY - 2006
KW - null
VL - 0
JA - Computer Graphics, Imaging and Visualization, International Conference on
ER -
 
Lee Sing Cheong, Bioinformatics Research Centre, Singapore
Feng Lin, Nanyang Technological University, Singapore
Hock Soon Seah, Nanyang Technological University, Singapore
Frequency-domain algorithms are studied to provide the composition of each nucleic acid base simultaneously across numerous frequencies and along the base-positions, through Fourier transformation and color mapping of the bases. And also, composite colored scalograms are constructed by continuous wavelet transformation to provide their individual localized time and periodic energy content in a single figure. The visualization of three-dimensional information in the forms of bases, frequencies and base-positions allows visual analysis of correlated structural and genomic information, which can hardly be obtained from the conventional character string analysis. Significant features of the studied prokaryotic genomes were revealed by the use of the programs developed.
Citation:
Lee Sing Cheong, Feng Lin, Hock Soon Seah, "Frequency-Domain Algorithms for Visual Analysis on Genomic Structures in Prokaryotes," cgiv, pp.96-103, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006
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