Advancing Cures Through Data and Discovery
Data from a variety of childhood cancers, including hematological cancers, brain tumors and solid tumors.
High-quality genomic, clinical and patient-reported data from pediatric cancer survivors.
Genomic and clinical data from non-malignant diseases, including sickle cell disease.
St. Jude Cloud Paper
Genomic Data-Sharing Ecosystem for the Precision Medicine Era
St. Jude Children’s Research Hospital created the largest cloud-based genomic resource for pediatric cancer and a data-sharing model to accelerate life-saving research.View Announcement
GenomePaint paints the cancer genomes on St. Jude Cloud
GenomePaint helps researchers visualize and explore genetic data from thousands of childhood cancer datasets available on St. Jude Cloud. Researchers around the world can also use GenomePaint to analyze their own data at no cost.Access GenomePaint
St. Jude Cloud is first to release real-time clinical genomics data
St. Jude Cloud is speeding up scientific discoveries through access to real-time patient genomic clinical data. This ground-breaking initiative brings frequent release of high-quality genomic data direct from the clinic to the cloud.Read the News Release
St. Jude Cloud is comprised of multiple applications that allow you to interact with our data in different ways.
Sequencing Data and Analysis
Access and analyze the world’s most comprehensive repositories of pediatric cancer-related genomics data and analysis tools.
Variant Knowledge Base
Browse the pediatric cancer variant knowledge base curated by researchers at St. Jude including pathogenicity classification and variant recurrence.
Create and share figures using St. Jude's unique genomic visualization tools such as ProteinPaint, GenomePaint, and Disco.
Genomic samples from a number of studies have been sequenced and released on St. Jude Cloud, including the Pediatric Cancer Genome Project, Sickle Cell Genome Project and St. Jude LIFE. Learn about our studies, including information on population cohorts, participant demographics and how the data sets were generated.Explore Studies