How the Cancer Genomic Atlas will work

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  • The project will collect two samples from an individual. The first will be the tumor and the second will be normal tissue. These will be tracked via bar code and DNA tests.

    Caption by: Larry Dignan

  • Data from the samples will be compiled and combined with other information. The National Cancer Institute has made privacy a big priority.

    Caption by: Larry Dignan

  • Data management will become difficult given all the variables in cancer tissue.

    Caption by: Larry Dignan

  • Once the data is compiled it will be stored in a data coordination center. Middleware, specifically Jboss, will be the interface to various databases involved with the project.

    Caption by: Larry Dignan

  • Analyzing the information will take some computing horsepower. The Cancer Genomic Atlas plans to tap into other high performance computing grids to analyze the information.

    Caption by: Larry Dignan

  • A committee will determine who has access to specific data on each sample.

    Caption by: Larry Dignan

  • One challenge with managing these genetic sequences is agreeing on data definitions.

    Caption by: Larry Dignan

  • If this plays out like the project to map human DNA the public database will lead to more commercial development for cancer-targeting drugs.

    Caption by: Larry Dignan

  • The Cancer Genome Atlas is still in pilot stage. More funding will be needed to expand to analyze all forms of cancer.

    Caption by: Larry Dignan

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The Cancer Genomic Atlas will have a heavy information technology component as it crunches data to map the cancer genome.

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The project will collect two samples from an individual. The first will be the tumor and the second will be normal tissue. These will be tracked via bar code and DNA tests.

Caption by: Larry Dignan

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