title: An integrated model for cellular analysis.
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.
authors.affiliation: Laboratório de Bioinformática e Biologia Computacional, Universidade do Vale do Rio dos Sinos, Unisinos, Caixa Postal 270, 93022-000 São Leopoldo, RS, Brazil.
authors.forename: Eduardo
authors.initials: E
authors.lastname: Battistella
authors.forename: José G C de
authors.initials: JG
authors.lastname: Souza
authors.forename: Cláudia K
authors.initials: CK
authors.lastname: Barcellos
authors.forename: Ney
authors.initials: N
authors.lastname: Lemke
authors.forename: José C M
authors.initials: JC
authors.lastname: Mombach
mesh_terms: D000465:Algorithms; D000818:Animals; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D019992:Databases as Topic / Q000458:organization & administration; D006801:Humans; D046228:Microarray Analysis / Q000379:methods; D008954:Models, Biological