DocumentCode
2454328
Title
Immersive Visualization for Genome Exploration and Analysis
Author
Matte-Tailliez, Oriane ; Toffano-Nioche, Claire ; Férey, Nicolas ; Képès, Frangois ; Gherbi, Rachid
Author_Institution
TAO Team, LRI UMR CNRS, 8621, Université Paris-Sud, 91405 Orsay, France. oriane.matte@lri.fr
Volume
2
fYear
2006
fDate
24-28 April 2006
Firstpage
3510
Lastpage
3515
Abstract
Genomic and post-genomic data processing comprising genome sequencing, annotation and large scale genome technology produce increasing amounts of data which need to be analyzed. Visualization is a powerful analytical technique that uses the ability of the human brain to process complex data. Biological data were already explored by virtual-reality. Whereas the proteins are the subject of many works of modeling and visualization, still very little work has been done on the DNA. 3D graphical representation of DNA primary sequences allows complexity reduction while transforming 3D spatial representation into a numerical matrix to facilitate comparative studies of DNA. Two biological application were addressed in this paper that show the use of immersive visualization to help the users at genomic analysis phases. The first application is particularly concerned with the visualization of genes sharing similar expression factors within groups. The second one is focused on 3D shape modeling of exonintron elements within genes organization.
Keywords
Bioinformatics; Biological system modeling; DNA; Data processing; Data visualization; Genomics; Humans; Large-scale systems; Proteins; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Print_ISBN
0-7803-9521-2
Type
conf
DOI
10.1109/ICTTA.2006.1684982
Filename
1684982
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