bioRxivCancer Biology
St. Jude Cloud a Pediatric Cancer Genomic Data Sharing Ecosystem
C. McLeod, A. M. Gout, X. Zhou, D. Rahbarinia, A. Thrasher, S. Newman, K. Birch, M. Macias, D. Finkelstein, J. Sunny, R. Mudunuri, B. A. Orr, M. Treadway, B. Davidson, T. Ard, A. Swistak, S. Wiggins, S. Foy, S. W. Brady, J. Wang, E. Sioson, S. Wang, J. R. Michael, Y. Liu, X. Ma, , Z Wang
Abstract
Effective data sharing is key to accelerating research that will improve the precision of diagnoses, efficacy of treatments and long-term survival of pediatric cancer and other childhood catastrophic diseases. We present St. Jude Cloud (https://www.stjude.cloud), a cloud-based data sharing ecosystem developed via collaboration between St. Jude Childrens Research Hospital, DNAnexus, and Microsoft, for accessing, analyzing and visualizing genomic data from >10,000 pediatric cancer patients, long-term survivors of pediatric cancer and >800 pediatric sickle cell patients. Harmonized genomic data totaling 1.25 petabyes on St. Jude Cloud include 12,104 whole genomes, 7,697 whole exomes and 2,202 transcriptomes, which are freely available to researchers worldwide. The resource is expanding rapidly with regular data uploads from St. Judes prospective clinical genomics programs, providing public access as soon as possible rather than holding data back until publication. Three interconnected apps within the St. Jude Cloud ecosystem--Genomics Platform, Pediatric Cancer Knowledgebase (PeCan) and Visualization Community--provide a unique experience for simultaneously performing advanced data analysis in the cloud and enhancing the pediatric cancer knowledgebase. We demonstrate the value of the St. Jude Cloud ecosystem through use cases that classify 48 pediatric cancer subtypes by gene expression profiling and map mutational signatures across 35 subtypes of pediatric cancer.
- organism: human
- assay: whole-genome sequencing
- assay: whole-exome sequencing
- assay: bulk RNA-seq
- research focus: database / resource
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The Single-cell Pediatric Cancer Atlas: Data portal and open-source tools for single-cell transcriptomics of pediatric tumors
Allegra G. Hawkins, Joshua A. Shapiro, … Jaclyn Taroni·Cell GenomicsPeer-reviewed·Jun 24, 2026
- The Open Pediatric Cancer Project
Zhuangzhuang Geng, Eric K. Wafula, … Jo Lynne Rokita·GigaSciencePeer-reviewed·Jan 1, 2025
- Uniform Genomic Data Analysis in the NCI Genomic Data Commons
Zhenyu Zhang, Kyle M. Hernandez, … Robert L. Grossman·Nature CommunicationsPeer-reviewed·Feb 22, 2021
- PCAT: An integrated portal for genomic and preclinical testing data of pediatric cancer patient-derived xenograft models
Juechen Yang, Qilin Li, … Siyuan Zheng·Nucleic Acids ResearchPeer-reviewed·Aug 11, 2020
- STAMPede: A Precision Oncology Catalogue of Solid Tumors
Jessica W. Chen, Haik Kalantarian, … Helio A. Costa·bioRxiv·Sep 18, 2020
- Genomic profiling of childhood tumor patient-derived xenograft models to enable rational clinical trial design
Jo Lynne Rokita, Komal S. Rathi, … John M. Maris·Cell ReportsPeer-reviewed·Nov 1, 2019