jAGN A Java-based model for artificial gene networks generation
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Create generator generate Model-Based Test Random Agent Networks model model DEVS based system complex network model

jAGN Description

jAGN is a small, Java based application specially designed to offer you a model generation through theoretical models of complex networks, which is used to simulate temporal expression data, which can be used by computational methods to recover the network topology, and then, analyse the results based on complex networks measurements/topology. In a biological context, the cells can be viewed as networks of molecules connected by chemical reactions. The development of massive data collection techniques, as cDNA microarrays and SAGE, allows the simultaneous verification of cell's components estate in multiples instances of time. Computational methods have been extensively used to analyze and to interpret this amount of generated data. In particular, gene regulatory networks (GRN) are used to indicate how the genes are regulated and consequently give insights about the activity of live organisms in molecular level.

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