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An integrated model for cellular analysis
Battistella, E; Souza, J. G; Barcellos, C. K; Lemke, N; Mombach, J. C.
Affiliation
  • Battistella, E; 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
  • Barcellos, C. K; 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
Genet. mol. res. (Online) ; 4(3): 506-513, 2005.
Article in En | LILACS | ID: lil-444961
Responsible library: BR1.1
ABSTRACT
We present the MOlecular NETwork (MONET) ontology as a model to integrate data from different networks that govern cell function. To achieve this, different existing ontologies were analyzed and an integrated ontology was built in a way to make it possible to share and reuse knowledge, support interoperability between systems, and also allow the formulation of hypotheses through inferences. By studying the cell as an entity of a myriad of elements and networks of interactions, we aim to offer a means to understand the large-scale characteristics responsible for the behavior of the cell and to enable new biological insights.
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Full text: 1 Index: LILACS Main subject: Algorithms / Cell Physiological Phenomena / Models, Biological Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Genet. mol. res. (Online) Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2005 Type: Article
Fulltext
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Full text: 1 Index: LILACS Main subject: Algorithms / Cell Physiological Phenomena / Models, Biological Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Genet. mol. res. (Online) Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2005 Type: Article