Comparative Genomics with Multi-agent Systems

Abstract

The detection of the regions with mutations associated with different pathologies is an important step for selecting relevant genes. The corresponding information of the mutations and genes is distributed in different public sources and databases, so it is necessary to use systems that can contrast different sources and select conspicuous information. This work proposes a virtual organization of agents that can analyze and interpret the results from Array-based comparative genomic hybridization, thus facilitating the traditionally manual process of the analysis and interpretation of results.