A Multi-Agent System for Exon Prediction in Human Sequences

Laurence Vignal[1] (vignal@lirmm.fr)
Frederique Lisacek[2] (Frederique.Lisacek@genetique.uvsq.fr)

[1] Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier
161 rue Ada, 34392 Montpellier Cedex 5, France
[2] Universite de Versailles Saint-Quentin, 45 avenue des Etats-Unis, 78035 Versailles, France


Abstract

Given the problem of identifying exons in new genomic DNA, the sketch of a resolution process was drawn using sequence data and models of site/signal recognition. A multi-agent architecture is used to validate these models and test hypotheses on the chronology of events involved in gene splicing. Information is channelled through a hierarchy of agents. Each type of agent is the result of a successful step in the resolution process. The system does not rely on the compositional bias of coding sequences which is a key feature of current computer methods.

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Japanese Society for Bioinformatics