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Biological Data Analysis Laboratories

Posted 13 Oct, 2008 in Series

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Abstract

The Biological Data Analysis Laboratories at IUSCC and Purdue University

imageProcessed samples will undergo lipidomic and SNP analysis at the IU Simon Cancer Center and glycoproteomic and metabolomic analysis at Purdue University.

These analyses are a major focus of the CCE project. They will serve as the basis for the statistical modeling that will provide the molecular signatures to be rapidly tested in the IUSCC clinics, identifying those that can accurately predict CRC susceptibility and treatment outcomes for diagnosed CRC patients.

We will integrate OMIC data from four disparate datasets: Genomic (SNP), Biological assays, Mass Spectrometry (MS), and Nuclear Magnetic Resonance (NMR). While the data integration effort will be a significant challenge, the integration is also the great promise of the CCE project.

The power of the iterative approach we propose is that

  • More patient and control data will continually be accrued and added to the CCE system
  • Novel technologies to generate additional OMIC data will continue to emerge at Purdue University and will be rapidly applied
  • As additional data is supplied to the system, models will continue to improve in their predictive ability.
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If you reference this work in a publication, please cite as follows:

  • (2008), "Biological Data Analysis Laboratories," http://ccehub.org/resources/103.

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Tags
  1. biomarker discovery
  2. colorectal cancer
  3. global proteomics
  4. glycoproteomics
  5. lipidomics
  6. metabolomics
  7. OMIC analysis
  8. oxidative stress

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