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

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

doi:10.1515/jib-2012-206

Open Access Published by De Gruyter October 18, 2016

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

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

From the journal Journal of Integrative Bioinformatics

https://doi.org/10.1515/jib-2012-206

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.

Published Online: 2016-10-18

Published in Print: 2012-12-1

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Summary

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