A knowledge based decision support system for bioinformatics and system biology

  • Authors:
  • Antonino Fiannaca;Salvatore Gaglio;Massimo La Rosa;Daniele Peri;Riccardo Rizzo;Alfonso Urso

  • Affiliations:
  • ICAR-CNR, National Research Council, Palermo, Italy;Department of Computer Science, University of Palermo and ICAR-CNR, National Research Council, Palermo, Italy;ICAR-CNR, National Research Council, Palermo, Italy;Department of Computer Science, University of Palermo and ICAR-CNR, National Research Council, Palermo, Italy;ICAR-CNR, National Research Council, Palermo, Italy;ICAR-CNR, National Research Council, Palermo, Italy

  • Venue:
  • CIBB'10 Proceedings of the 7th international conference on Computational intelligence methods for bioinformatics and biostatistics
  • Year:
  • 2010

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Abstract

In this paper, we present a new Decision Support System for Bioinformatics and System Biology issues. Our system is based on a Knowledge base, representing the expertise about the application domain, and a Reasoner. The Reasoner, consulting the Knowledge base and according to the user's request, is able to suggest one or more strategies in order to resolve the selected problem. Moreover, the system can build, at different abstraction layers, a workflow for the current problem on the basis of the user's choices, freeing the user from implementation details and assisting him in the correct configuration of the algorithms. Two possible application scenarios will be introduced: the analysis of protein-protein interaction networks and the inference of gene regulatory networks.