GENE-15. CAVATICA- A PEDIATRIC GENOMIC CLOUD EMPOWERING DATA DISCOVERY THROUGH THE PEDIATRIC BRAIN TUMOR ATLAS

CAVATICA (cavatica.org) was developed to address the lack of open access large scale pediatric cancer genomic datasets for the research community. As the first of its kind pediatric genomic portal, CAVATICA empowers data upload, sharing, and creation of pipelines, data, algorithms, visualizations, and hypotheses. Building upon the need for pediatric brain tumor genome dataset, the Pediatric Brain Tumor Atlas was founded in late 2016, a concerted multi-institution effort by the Children’s Brain Tumor Consortium (CBTTC) and the Pacific Pediatric Neuro-Oncology Consortium. The goal of the Pediatric Brain Tumor Atlas is to characterize and deeply profile a newly defined cohort of brain tumor samples across diverse histopathologies via a combination of whole exome sequencing, whole genome sequencing, RNA sequencing and limited proteomic analysis. CAVATICA is positioned to support integrative analysis and open access to data alongside shared computation and algorithms that empower users to further integrate and analyze their own uploaded data. Additionally, CAVATICA provides further portal access to dbGaP approved users to TCGA and other NCI datasets hosted by the NCI’s Cancer Genomics’ Cloud. By committing to the rapid release of these large pediatric brain tumor data and their deposition in CAVATICA’s cloud-based environment supporting shared pipelines, computation, and visualizations, PNOC and the CBTTC’s collaborating membership are seeking to provide a centralized, collaborative rapid discovery environment for researchers to engage new discovery and data reuse. An additional component of this research application ecosystem, the data generated by the Pediatric Brain Tumor Atlas within CAVATICA will also link with PedcBioPortal (PedcBioPortal.org), a data visualization and analysis application further integrating across additional public and deposited datasets. In summary, CAVATICA will empower data discovery and hypothesis generation for the Pediatric Brain Tumor Atlas.