geneSetFinder: A Multiagent Architecture for Gathering Biological Information

  • Daniel Glez-Peña
  • Julia Glez-Dopazo
  • Reyes Pavón
  • Rosalía Laza
  • Florentino Fdez-Riverola
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 55)


The past decade has seen a tremendous growth in the amount of experimental and computational biomedical data, specifically in the areas of genomics and proteomics. In this context, the immense volume of data resulting from DNA microarray experiment presents a major data analysis challenge. Current methods for genome-wide analysis of expression data typically rely on biologically relevant gene sets instead of individual genes. This has translated into a need for sophisticated tools to mine, integrate and prioritize massive amounts of information. In this work we report the development of a multiagent architecture that gives support to the construction of gene sets coming from multiple heterogeneous data sources. The proposed architecture is the base of a publicly available web portal in which final users are able to extract lists of genes from multiple heterogeneous data sources.


MAS architecture integrative data sources gene set construction 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Daniel Glez-Peña
    • 1
  • Julia Glez-Dopazo
    • 1
  • Reyes Pavón
    • 1
  • Rosalía Laza
    • 1
  • Florentino Fdez-Riverola
    • 1
  1. 1.Escuela Superior de Ingeniería InformáticaUniversidad de Vigo, Edificio PolitécnicoOurenseSpain

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