Automatic knowledge extraction in sequencing analysis with multiagent system and grid computing

Roberto González 1 , Carolina Zato 1 , Rocío Benito 2 , Javier Bajo 1 , Jesús M. Hernández 3 , 4 , Juan F. De Paz 1 , Vicente Vera 5 , and Juan M. Corchado 1
  • 1 Department of Computer Science, University of Salamanca Plaza de la Merced, s/n, 37008, Salamanca, Spain
  • 2 IBMCC, Cancer Research Center, University of Salamanca-CSIC, Spain
  • 3 IBMCC, Cancer Research Center, University of Salamanca-CSIC Spain
  • 4 Servicio de Hematología, Hospital Universitario de Salamanca, Spain
  • 5 Department of Estomatology II, Complutense University of Madrid, Plaza Ramón y Cajal, s/n 28040, Madrid, Spain

Summary

Advances in bioinformatics have contributed towards a significant increase in available information. Information analysis requires the use of distributed computing systems to best engage the process of data analysis. This study proposes a multiagent system that incorporates grid technology to facilitate distributed data analysis by dynamically incorporating the roles associated to each specific case study. The system was applied to genetic sequencing data to extract relevant information about insertions, deletions or polymorphisms.

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