Data Resources

Below is a listing of research data offered through the CDIS Commons Services Operating Center and our data sharing collaborators through several data commons and clouds.  Data is shared broadly, but may require research project approval or membership to a consortium for authorized access. Inquire directly with the platform for data access requirements.

NCI Genomic Data Commons    

Offers clinical, biospecimen, and molecular data and higher-level derived data from the following cancer programs:

  • The Cancer Genome Atlas
  • Therapeutically Applicable Research to Generate Effective Treatments
  • Foundation Medicine (coming soon)
  • Multiple Myeloma Research Foundation (coming soon)

Bionimbus protected data cloud

Offers molecular data and higher-level derived data from the following programs:

  • ICGC PanCancer Analysis of Whole Genomes higher-level derived data from processed from TCGA
  • International Neuroblastoma Risk Group Consortium
  • GenoMEL Melanoma Genetics Consortium
  • UChicago Institute for Genomics and Systems Biology
  • Conte Center for Computational Neuropsychiatric Genomics
  • Standalone custom research datasets
 

Blood Profiling atlas in cancer 

Offers data from CTC, ctDNA, proteins, and exosome assays and associated clinical data from the following organizations:

  • AstraZeneca
  • CytoLumina
  • Epic Sciences
  • Genomic Health
  • Guardant Health
  • MSKCC
  • Novartis
  • Personal Genome
  • Provista
  • Thermo Fisher Scientific
  • University of Michigan
  • University of Southern California

OCC Environmental Data Commons

Offers earth satellite imagery data, weather radar data, and weather model analysis data from the following programs:

  • NASA EO-1
  • NASA MODIS
  • NOAA NEXRAD Level 2 Radar
  • NOAA CFS Reanalysis
  • NOAA GOES-13
  • NOAA GOES-15
  • NOAA GOES-16 

Technology Resources

 

data commons Software

Data Management tools

 

 

  • Im Lab Analysis Tools

    • PrediXcan: a gene-based association test that prioritizes genes that are likely to be causal for the phenotype 
    • MetaXcan: a summary statistics based gene-level association test
    • PredictDB Data Repository: an Amazon S3 website that allow users to access genetic prediction models to be used with PrediXcan and MetaXcan
    • PhenomeXcan: a shiny apps website that allow users to access metaxcan association results