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Integrating clinical, gene expression, protein expression and preanalytical data for in silico cancer research.

Abstract : We present the phase I development of an integrative platform for the analysis of clinical, gene expression, protein expression and pre-analytical data. The platform is aimed at providing transparent access and analysis tools to researchers investigating new biomarkers and prognosis factors in the particular field of lymphoma diseases. In this article, we report on the data integration phase. The platform's principal advantage is its completeness as it integrates in a single environment clinical, genomic and proteomic data, allowing for their combined analysis. The architecture consists in a data warehouse including data on patients, clinical trials and array platforms and a DeMilitarized Zone for data exchange. A secure web-based platform allows any collaborative team to request the data warehouse and access basic statistics on integrated data. The presented system is currently in use.
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https://www.hal.inserm.fr/inserm-00869488
Contributor : Morgane Le Corre <>
Submitted on : Thursday, October 3, 2013 - 2:20:53 PM
Last modification on : Wednesday, May 16, 2018 - 11:23:28 AM
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  • HAL Id : inserm-00869488, version 1
  • PUBMED : 18487773

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Delphine Rossille, Anita Burgun, Céline Pangault-Lorho, Thierry Fest. Integrating clinical, gene expression, protein expression and preanalytical data for in silico cancer research.. Studies in Health Technology and Informatics, IOS Press, 2008, 136, pp.455-60. ⟨inserm-00869488⟩

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