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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.
Mots-clés : recherche d'information dans les sources de données génomique generic DTD scenario genomic data sources DTD de scénario
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Conference papers
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https://hal.inria.fr/inria-00101042
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 2:54:56 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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  • HAL Id : inria-00101042, version 1

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INRIA | CNRS | LORIA | UNIV-LORRAINE

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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. ⟨inria-00101042⟩

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