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Conference Poster Year : 2010

SequenceViewer: Visualization of Genes Sequences

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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Dates and versions

lirmm-00588556 , version 1 (24-04-2011)

Identifiers

  • HAL Id : lirmm-00588556 , version 1

Cite

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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