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An Integrated Platform for Analyzing Molecular-Biological Data Within Clinical Studies

  • Toralf Kirsten
  • Jörg Lange
  • Erhard Rahm
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4254)

Abstract

To investigate molecular-biological causes and effects of diseases and their therapies it becomes increasingly important to combine data from clinical trials with high volumes of experimental genetic data and annotations. We present our approach to integrate such data for two large collaborative cancer research studies in Germany. Our platform interconnects a commercial study management system (eRN) with a data warehouse-based gene expression analysis system (GeWare). We utilize a generic approach to import different anonymized pathological and patient-related annotations into the warehouse. The platform also integrates different forms of experimental data and public molecular-biological annotation data and thus supports a wide range of genetic analyses for both clinical and non-clinical parameters.

Keywords

Data Warehouse Database Schema Annotation Data Nucleic Acid Research Mutation Profile 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Toralf Kirsten
    • 1
  • Jörg Lange
    • 1
  • Erhard Rahm
    • 1
    • 2
  1. 1.Interdisciplinary Center for Bioinformatics LeipzigUniversity of Leipzig 
  2. 2.Dept. of Computer ScienceUniversity of Leipzig 

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