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Computational Data Integration in Toxicogenomics

  • Simona Constantinescu
  • Shana J. Sturla
  • Giancarlo Marra
  • Bernd Wollscheid
  • Niko Beerenwinkel
Part of the Methods in Pharmacology and Toxicology book series (MIPT)

Abstract

Toxicogenomics is an emerging field defined by the adaptation and application of functional genomics techniques to toxicology. Recent advances in generating and analyzing multi-omics data have facilitated the development of toxicogenomics to provide novel answers to many toxicology-related questions. In this chapter, we discuss five recent toxicogenomics studies presenting complementary strategies for mining genome-wide molecular profiling data after exposure of cells to chemicals in vitro. The case studies cover various areas of systems toxicology and pharmacogenomics and illustrate the rapid evolution of toxicogenomics, including computational methods for the analysis, integration, and interpretation of omics data.

Key words

Toxicogenomics Data integration Data analysis Cancer Pharmacogenomics Systems toxicology Cell line Case studies 

Notes

Acknowledgements

This work was financially supported by the Swiss National Science Foundation (Sinergia project 136247).

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Simona Constantinescu
    • 1
    • 2
  • Shana J. Sturla
    • 3
  • Giancarlo Marra
    • 4
  • Bernd Wollscheid
    • 3
    • 5
  • Niko Beerenwinkel
    • 1
    • 2
  1. 1.Department of Biosystems Science and EngineeringETH ZurichBaselSwitzerland
  2. 2.SIB Swiss Institute of BioinformaticsBaselSwitzerland
  3. 3.Department of Health Sciences and TechnologyETH ZurichZurichSwitzerland
  4. 4.Institute of Molecular Cancer ResearchUniversity of ZurichZurichSwitzerland
  5. 5.Institute of Molecular Systems BiologyETH ZurichZurichSwitzerland

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