Biological Data Analysis Laboratories
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| Abstract | The Biological Data Analysis Laboratories at IUSCC and 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
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| Contributor | Ann Christine Catlin
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| sponsoredby | The Cancer Care Engineering project is supported by the Department of Defense, Congressionally Directed Medical Research Program, Fort Detrick, MD (W81-XWH-08-1-0065) administered jointly through the Oncological Sciences Center at Purdue University and the Indiana University Simon Cancer Center, the Walther Cancer Foundation, and the Regenstrief Foundation. |
| Cite this work | Researchers should cite this work as follows: |
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Processed samples will undergo lipidomic, oxidative stress, and SNP analysis at the IU Simon Cancer Center and global proteomic, glycoproteomic and metabolomic analysis at Purdue University.