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.
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González, R., Zato, C., Benito, R., Hernández, M., Hernández, J.M., De Paz, J.F. (2012). SAMasGC: Sequencing Analysis with a Multiagent System and Grid Computing. In: Rocha, M., Luscombe, N., Fdez-Riverola, F., Rodríguez, J. (eds) 6th International Conference on Practical Applications of Computational Biology & Bioinformatics. Advances in Intelligent and Soft Computing, vol 154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28839-5_24
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DOI: https://doi.org/10.1007/978-3-642-28839-5_24
Publisher Name: Springer, Berlin, Heidelberg
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