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General GDC

How do I obtain an account to log in to the GDC?

Submitted by Anonymous on

Generally, browsing indexed GDC metadata (such as information about the cases and files contained in the GDC Data Portal) does not require a login.

eRA Commons authentication and dbGaP authorization are required before accessing controlled data, which generally includes individually identifiable information such as low level genomic sequencing data and germline variants.

Controlled-access data users log in to the GDC using their eRA Commons accounts. The GDC then verifies that the user has authorization in dbGaP to access specific controlled datasets.

How do I cite the NCI GDC?

Submitted by Anonymous on

Please credit the NCI Genomic Data Commons (GDC) in your manuscript by citing the following paper about the GDC in your manuscript:

Grossman, Robert L., Heath, Allison P., Ferretti, Vincent, Varmus, Harold E., Lowy, Douglas R., Kibbe, Warren A., Staudt, Louis M. (2016) Toward a Shared Vision for Cancer Genomic Data. New England Journal of Medicine375:12, 1109-1112

When citing individual projects, please refer to the attribution policies of the project when available.

What are the goals of the GDC?

Submitted by Anonymous on

The primary goal of the GDC is to provide the cancer research community with a unified repository and cancer knowledge base supporting cancer genomic studies. The cancer knowledge base enables the identification of low-frequency cancer drivers, assists in defining genomic determinants of response to therapy, and informs the composition of clinical trial cohorts sharing targeted genetic lesions.

What is the NCI Genomic Data Commons (GDC)?

Submitted by Anonymous on

The NCI Genomic Data Commons (GDC) is the next generation repository and cancer knowledge base supporting the import and standardization of genomic and clinical data from cancer research programs (e.g. TCGATARGETCGCI), the harmonization of sequence data to the genome / transcriptome, and the application of state-of-the art methods for derived data (e.g. mutation calls, structural variants, etc.).

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