A multiagent system for the analysis of sequence data

Abstract

The analysis of sequence data requires the processing of the data obtained from sequencers for their subsequent comparison with genomes. The information recovered from the sequencers must be assembled and aligned in order to recover the variations that exist in the patient DNA. This study proposes a system to detect and classify variations by integrating information taken from biomedical databases. The system incorporates different algorithms to search for differences as compared to the reference genome for patients.