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The GDC currently accepts DNA and RNA sequencing data in both FASTQ and BAM formats. Sequencing data is submitted with accompanying metadata in either simple tab-separated values (TSV) or the JavaScript Object Notation JSON format, or the latest version (currently 1.5) of the SRA XML format. Clinical and biospecimen data can be submitted in ...
Feb 22, 2021 · NCI Genomic Data Commons. The NCI GDC was opened to the public in 2016 after 2 years of development by the NCI, the University of Chicago, the Ontario Institute for Cancer Research and Leidos ...
- Allison P. Heath, Vincent Ferretti, Vincent Ferretti, Stuti Agrawal, Stuti Agrawal, Maksim An, Maksi...
- 2021
The NCI Genomic Data Commons (GDC) provides a single source for data from NCI-funded initiatives and cancer research projects, as well as the analytical tools needed to mine them. The GDC includes data from TCGA, TARGET, and the Genomics Evidence Neoplasia Information Exchange (GENIE). The GDC will continue to grow as NCI and individual ...
Feb 22, 2021 · The National Cancer Institute’s (NCI’s) Genomic Data Commons (GDC) 1,2 currently contains NCI-generated data from some of the largest and most comprehensive cancer genomic datasets, including ...
- Zhenyu Zhang, Kyle Hernandez, Jeremiah Savage, Jeremiah Savage, Shenglai Li, Dan Miller, Dan Miller,...
- 2021
GDC Data. The GDC provides researchers with access to standardized clinical and genomic data from large-scale cancer studies from NCI and external programs. Provides information on the different data types and file formats that the GDC supports. Includes the relationship of GDC data types to data levels as well as information on important metadata.
The National Cancer Institute (NCI) Genomic Data Commons (GDC) contains more than 2.9 petabytes of genomic and associated clinical data from more than 60 NCI-funded and other contributed cancer ...
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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. TCGA, TARGET, CGCI), 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 ...