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An integrated model for cellular analysis
Eduardo Battistella, José G.C. de Souza, Cláudia K. Barcellos, Ney Lemke and
José C.M. Mombach
Laboratório de Bioinformática e Biologia Computacional, Universidade do Vale do Rio dos Sinos, Unisinos, Av. Unisinos, 950, Caixa Postal 270, 93022-000 São Leopoldo, RS, Brasil
Corresponding author: J.G.C. de Souza
E-mail: jose@exatas.unisinos.br
Genet. Mol. Res. 4 (3): 506-513 (2005)
Received May 20, 2005
Accepted July 8, 2005
Published September 30, 2005

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.

Key words: Ontology, Cellular function, Knowledge data discovery, Data integration

 

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