biostudies-literatureMcLeod CNational Cancer InstituteNational Institutes of HealthNational Institutes of HealthNCI NIH HHS1082-1099https://www.ebi.ac.uk/biostudies/studies/S-EPMC8102307biostudies-literatureUnknown11(5)Effective data sharing is key to accelerating research to improve diagnostic precision, treatment efficacy, and long-term survival in pediatric cancer and other childhood catastrophic diseases. We present St. Jude Cloud (https://www.stjude.cloud), a cloud-based data-sharing ecosystem for accessing, analyzing, and visualizing genomic data from >10,000 pediatric patients with cancer and long-term survivors, and >800 pediatric sickle cell patients. Harmonized genomic data totaling 1.25 petabytes are freely available, including 12,104 whole genomes, 7,697 whole exomes, and 2,202 transcriptomes. The resource is expanding rapidly, with regular data uploads from St. Jude's prospective clinical genomics programs. Three interconnected apps within the ecosystem-Genomics Platform, Pediatric Cancer Knowledgebase, and Visualization Community-enable simultaneously performing advanced data analysis in the cloud and enhancing the Pediatric Cancer knowledgebase. We demonstrate the value of the ecosystem through use cases that classify 135 pediatric cancer subtypes by gene expression profiling and map mutational signatures across 35 pediatric cancer subtypes. SIGNIFICANCE: To advance research and treatment of pediatric cancer, we developed St. Jude Cloud, a data-sharing ecosystem for accessing >1.2 petabytes of raw genomic data from >10,000 pediatric patients and survivors, innovative analysis workflows, integrative multiomics visualizations, and a knowledgebase of published data contributed by the global pediatric cancer community.<i>This article is highlighted in the In This Issue feature, p. 995</i>.Cancer discoverySt. Jude Cloud: A Pediatric Cancer Genomic Data-Sharing Ecosystem.PMC8102307R01CA216391R01 CA216391Rahbarinia DChang TCPatel AFinkelstein DSuh EYasui YFrantz AMZhang JTater PMichael JRWu GWang JEdmonson MNDaly RWeiss MJWang SBaker SJNichols KEWang ZMeyer CSerang OThangaraj NNewman SPalmer LEMacias MRusch MBrady SWGout AMMcLeod CDavidson BTreadway MTanner LDyer MABangur CDowning JRRobison NWilson CLPappo ASMa SMiller GBirch KSwistak AEllison DWMa XCheng YLiu YKandali VLear MArd TKWilkinson MRTang XAlexandrov LBTian LNguyen TMeshinchi SPerry KThrasher AMcGuire IMcMurry JZhou XFoy SRobison LLMudunuri RSunny JArmstrong GTWiggins SIslam SMAMullighan CGOrr BAGentry DSioson EChiao ALei SfalseSt. Jude Cloud: A Pediatric Cancer Genomic Data-Sharing Ecosystem.Effective data sharing is key to accelerating research to improve diagnostic precision, treatment efficacy, and long-term survival in pediatric cancer and other childhood catastrophic diseases. We present St. Jude Cloud (https://www.stjude.cloud), a cloud-based data-sharing ecosystem for accessing, analyzing, and visualizing genomic data from >10,000 pediatric patients with cancer and long-term survivors, and >800 pediatric sickle cell patients. Harmonized genomic data totaling 1.25 petabytes are freely available, including 12,104 whole genomes, 7,697 whole exomes, and 2,202 transcriptomes. The resource is expanding rapidly, with regular data uploads from St. Jude's prospective clinical genomics programs. Three interconnected apps within the ecosystem-Genomics Platform, Pediatric Cancer Knowledgebase, and Visualization Community-enable simultaneously performing advanced data analysis in the cloud and enhancing the Pediatric Cancer knowledgebase. We demonstrate the value of the ecosystem through use cases that classify 135 pediatric cancer subtypes by gene expression profiling and map mutational signatures across 35 pediatric cancer subtypes. SIGNIFICANCE: To advance research and treatment of pediatric cancer, we developed St. Jude Cloud, a data-sharing ecosystem for accessing >1.2 petabytes of raw genomic data from >10,000 pediatric patients and survivors, innovative analysis workflows, integrative multiomics visualizations, and a knowledgebase of published data contributed by the global pediatric cancer community.<i>This article is highlighted in the In This Issue feature, p. 995</i>.2021-01-01T00:00:00Z2021 May2022-02-11T12:24:39.276Z2022-02-11T12:24:39.276ZS-EPMC81023073340824210.1158/2159-8290.cd-20-123010.1158/2159-8290.CD-20-1230