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

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doi doi:10.2390/biecoll-jib-2012-206
submission July 06, 2012
published July 24, 2012
NCBI PubMed PubMed ID 22829577

Roberto González, Carolina Zato, Rocío Benito, Javier Bajo, Jesús M. Hernández, Juan F. De Paz, Vicente Vera and Juan M. Corchado

Correspondence should be addressed to:
Juan F. De Paz
Department of Computer Science, University of Salamanca Plaza de la Merced, s/n, 37008, Salamanca, Spain
se.lasu@nullsdfocf


Abstract

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.

Reference

Roberto González, Carolina Zato, Rocío Benito, Javier Bajo, Jesús M. Hernández, Juan F. De Paz, Vicente Vera and Juan M. Corchado. Automatic knowledge extraction in sequencing analysis with multiagent system and grid computing. Journal of Integrative Bioinformatics, 9(3):206, 2012. Online Journal: http://journal.imbio.de/index.php?paper_id=206
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