An integrated model for cellular analysis

Eduardo Battistella, José G.C. de Souza, Cláudia K. Barcellos, Ney Lemke and José C.M. Mombach
Published September 30, 2005
Genet. Mol. Res. 4 (3): 506-513 (2005)

About the Authors
Eduardo Battistella, José G.C. de Souza, Cláudia K. Barcellos, Ney Lemke and José C.M. Mombach

Corresponding author
J.G.C. de Souza
Email: jose@exatas.unisinos.br

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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