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Exploring molecular networks using MONET ontology
Silva, J. P; Lemke, N; Mombach, J. C; Souza, J. G; Sinigaglia, M; Vieira, R.
  • Silva, J. P; Universidade do Vale do Rio dos Sinos. Laboratório de Bioinformática e Biologia Computacional. São Leopoldo. BR
  • Lemke, N; Universidade do Vale do Rio dos Sinos. Laboratório de Bioinformática e Biologia Computacional. São Leopoldo. BR
  • Mombach, J. C; Universidade do Vale do Rio dos Sinos. Laboratório de Bioinformática e Biologia Computacional. São Leopoldo. BR
  • Souza, J. G; Universidade do Vale do Rio dos Sinos. Laboratório de Bioinformática e Biologia Computacional. São Leopoldo. BR
  • Sinigaglia, M; Universidade do Vale do Rio dos Sinos. Laboratório de Bioinformática e Biologia Computacional. São Leopoldo. BR
  • Vieira, R; Universidade do Vale do Rio dos Sinos. Laboratório de Bioinformática e Biologia Computacional. São Leopoldo. BR
Genet. mol. res. (Online) ; 5(1): 182-192, Mar. 31, 2006. tab, ilus
Article Dans En | LILACS | ID: lil-449134
Responsable en Bibliothèque : BR1.1
ABSTRACT
The description of the complex molecular network responsible for cell behavior requires new tools to integrate large quantities of experimental data in the design of biological information systems. These tools could be used in the characterization of these networks and in the formulation of relevant biological hypotheses. The building of an ontology is a crucial step because it integrates in a coherent framework the concepts necessary to accomplish such a task. We present MONET (molecular network), an extensible ontology and an architecture designed to facilitate the integration of data originating from different public databases in a single- and well-documented relational database, that is compatible with MONET formal definition. We also present an example of an application that can easily be implemented using these tools.
Sujets)

Texte intégral: 1 Indice: LILACS Sujet Principal: Réseaux de communication entre ordinateurs / Intégration de systèmes / Biologie informatique / Bases de données génétiques / Biologie moléculaire langue: En Texte intégral: Genet. mol. res. (Online) Thème du journal: BIOLOGIA MOLECULAR / GENETICA Année: 2006 Type: Article
Texte intégral: 1 Indice: LILACS Sujet Principal: Réseaux de communication entre ordinateurs / Intégration de systèmes / Biologie informatique / Bases de données génétiques / Biologie moléculaire langue: En Texte intégral: Genet. mol. res. (Online) Thème du journal: BIOLOGIA MOLECULAR / GENETICA Année: 2006 Type: Article