From putative promoter sequence to genomic context : biological data collection on the web using a generic application (Xprom)

Marie-Dominique Devignes 1 Yvan Norsa Malika Smaïl 1 Philippe Collet Lionel Domenjoud
1 LANGUE ET DIALOGUE - Human-machine dialogue with a significant language component
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The great diversity of biological web resources and the different rationale used by the biologists to answer a given query makes it difficult to predict all possible scenarios at once. A generic application (Xprom) has thus been designed and developed to allow any possible scenario to be implemented. Xprom is based on a generic scenario model represented by an XML DTD.
Type de document :
Communication dans un congrès
European Conference on Computational Biology - ECCB'2002. Session Posters, Sep 2002, Saarbrücken, Germany, 2 p, 2002
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https://hal.inria.fr/inria-00101042
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 14:54:56
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00101042, version 1

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Marie-Dominique Devignes, Yvan Norsa, Malika Smaïl, Philippe Collet, Lionel Domenjoud. From putative promoter sequence to genomic context : biological data collection on the web using a generic application (Xprom). European Conference on Computational Biology - ECCB'2002. Session Posters, Sep 2002, Saarbrücken, Germany, 2 p, 2002. 〈inria-00101042〉

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