[KD3] A workflow-based application for exploration of biomedical data sets

  • Authors:
  • Andreas Dander;Michael Handler;Michael Netzer;Bernhard Pfeifer;Michael Seger;Christian Baumgartner

  • Affiliations:
  • Institute for Bioinformatics and Translational Research, UMIT, Hall in Tirol, Austria and Oncotyrol, Center for Personalized Cancer Medicine, Innsbruck, Austria and Biocenter, Division for Bioinfo ...;Institute of Electrical, Electronic and Bioengineering, UMIT, Hall in Tirol, Austria;Institute of Electrical, Electronic and Bioengineering, UMIT, Hall in Tirol, Austria;Institute of Electrical, Electronic and Bioengineering, UMIT, Hall in Tirol, Austria;Institute of Electrical, Electronic and Bioengineering, UMIT, Hall in Tirol, Austria;Institute of Electrical, Electronic and Bioengineering, UMIT, Hall in Tirol, Austria

  • Venue:
  • Transactions on large-scale data- and knowledge-centered systems IV
  • Year:
  • 2011

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Abstract

Based on the biotechnological revolution in the past years, molecular biology has become increasingly data-driven. Knowledge Discovery in Databases, a well-known process in the field of bioinformatics, is supporting the biological research process from data integration, knowledge mining to data interpretation. This work proposes a new software suite, termed Knowledge Discovery inDatabases Designer (KD3), covering the completeKnowledge Discovery in Databases process using a workflow-oriented architecture. Three different application-oriented modules are implemented in KD3: First, the Designer for designing specific workflows. These workflows can be used by the Interpreter, which allows to load and parameterize existing workflows. The Launcher encapsulates one dedicated workflow into an independent application to answer one specific biomedical question. KD3 offers a variety of implemented methods, which can be easily extended with new customized components using functional objects. All components can be connected to workflows, which may contain elements of other applications.