Please use this identifier to cite or link to this item: http://hdl.handle.net/10366/134848
SAMasGC: Sequencing Analysis with a Multiagent System and Grid Computing: Profile on PlumX
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dc.contributor.authorGonzález, Roberto
dc.contributor.authorZato Domínguez, Carolina
dc.contributor.authorBenito Sánchez, Rocío
dc.contributor.authorHernández, María
dc.contributor.authorHernández Rivas, Jesús M.
dc.contributor.authorde Paz Santana, Juan F.
dc.date.accessioned2017-09-06T09:14:10Z-
dc.date.available2017-09-06T09:14:10Z-
dc.date.issued2012
dc.identifier.citationAdvances in Intelligent and Soft Computing 6th International Conference on Practical Applications of Computational Biology & Bioinformatics. pp. 209-216.
dc.identifier.issnhttp://id.crossref.org/isbn/978-3-642-28838-8(Print)/ http://id.crossref.org/isbn/978-3-642-28839-5(Online)
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-28839-5_24
dc.identifier.urihttp://hdl.handle.net/10366/134848-
dc.description.abstractAdvances 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.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectComputer Science
dc.titleSAMasGC: Sequencing Analysis with a Multiagent System and Grid Computing
dc.typeinfo:eu-repo/semantics/article
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