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Poster communications

SequenceViewer: Visualization of Genes Sequences

Arnaud Sallaberry 1 Nicolas Pecheur 2 Sandra Bringay 3 Mathieu Roche 4 Maguelonne Teisseire 3, 4
1 GRAVITE - Graph Visualization and Interactive Exploration
CNRS - Centre National de la Recherche Scientifique : UMR, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Inria Bordeaux - Sud-Ouest, Université Sciences et Technologies - Bordeaux 1
3 TATOO - Fouille de données environnementales
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
4 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Techniques for extracting knowledge from huge volumes of biological data, obtained from DNA microarrays analysis, allow the discovery of previously unknown knowledge. How-ever, these techniques generally produce many results not easily actionable by the experts. We propose a tool dedicated to the support of these experts in the process of appropriation and exploitation of the knowledge obtained after the extrac-tion process. This tool is based on 3 visualization techniques (clouds, solar systems and treemap) that allow biologists to capture large amounts of patterns (ordered sequences of genes). These 3 visualizations are used to identify associations between group of patterns, the hierarchical relationships be-tween these patterns and the association of the sequences with the literature documents in order to ease the access to the publications, which deals about the genes of the patterns.
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Contributor : Mathieu Roche <>
Submitted on : Sunday, April 24, 2011 - 5:40:27 PM
Last modification on : Sunday, May 16, 2021 - 9:40:01 PM


  • HAL Id : lirmm-00588556, version 1


Arnaud Sallaberry, Nicolas Pecheur, Sandra Bringay, Mathieu Roche, Maguelonne Teisseire. SequenceViewer: Visualization of Genes Sequences. MedInfo: International Congress on Medical Informatics, 2010, Cape Town, South Africa. 2010, Demonstration (long abstract). ⟨lirmm-00588556⟩



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