MAP Semantic

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The BIRD data warehouse will be equipped with various tools aimed at visualizing in a semantic manner the large volume of data it contains. Typically, clustering tools or self-organizing maps can be produced to visualize “land maps” representing the distribution of genes and their various annotations in the warehouse (protein families, organism, motif composition, 3D structure, genetic disease, etc.). This visualisation will be exploited to generate semantic networks that will contribute to the construction of the semantic framework of the project. In particular it should be helpful for guiding the subsequent relational data mining step.

This project (image above) is under development at IGBMC (Nicolas Wicker ,Hoan Nguyen , Jeremy Trouslard, Julien Cadet...)