2024-03-28T18:32:48Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1348482022-02-07T15:35:42Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811
SAMasGC: Sequencing Analysis with a Multiagent System and Grid Computing
González, Roberto
Zato Domínguez, Davinia Carolina
Benito Sánchez, Rocío
Hernández, María
Hernández Rivas, Jesús María
Paz Santana, Juan Francisco de
Computer Science
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.
2017-09-06
2017-09-06
2012
info:eu-repo/semantics/article
Advances in Intelligent and Soft Computing 6th International Conference on Practical Applications of Computational Biology & Bioinformatics. pp. 209-216.
http://id.crossref.org/isbn/978-3-642-28838-8(Print)/ http://id.crossref.org/isbn/978-3-642-28839-5(Online)
http://dx.doi.org/10.1007/978-3-642-28839-5_24
http://hdl.handle.net/10366/134848
en
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 Unported
Springer Science + Business Media