SequenceViewer: Visualization of Genes Sequences

Arnaud Sallaberry 1, 2 Nicolas Pecheur 3 Sandra Bringay 2 Mathieu Roche 4 Maguelonne Teisseire 2, 4
1 GRAVITE - Graph Visualization and Interactive Exploration
Université Sciences et Technologies - Bordeaux 1, Inria Bordeaux - Sud-Ouest, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR
2 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.
Type de document :
Poster
MedInfo: International Congress on Medical Informatics, 2010, Cape Town, South Africa. 2010, Demonstration (long abstract)
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00588556
Contributeur : Mathieu Roche <>
Soumis le : dimanche 24 avril 2011 - 17:40:27
Dernière modification le : jeudi 24 mai 2018 - 15:59:23

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  • HAL Id : lirmm-00588556, version 1

Citation

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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