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Use Case IDAreaUse CaseSubmitterDate Completed
1Cloud ResourcesGenomic correlates across platforms (DNA, RNA, protein). Steering Committee
2Cloud ResourcesCorrelating multi-omic data with clinical annotation and phenotypes, particularly outcomes. Steering Committee
3Cloud ResourcesComparative analyses of canine and human. For example, search for conserved mutations between canine and human tumorsSteering Committee
4Cloud ResourcesBiological pathway similarities and differences between canines and humans, how that informs therapeutic choices, and when canines and humans respond the same and when differently. Steering Committee
5Cloud ResourcesGene expression changes and mutational profiles associated with therapeutic response and outcomeSteering Committee
6Cloud ResourcesHow do sporadic tumors in non-human mammals compare to sporadic human tumors?Steering Committee
7Cloud ResourcesCorrelations and model building from radiomic and pathomic features extracted from medical and histopathologic images with outcomes and genomics, as is currently being widely done with human imagesSteering Committee
8Cloud ResourcesCan we develop biomarkers of response and resistance in humans by analyzing the responses and genomic signatures in dogs?Steering Committee
9Cloud ResourcesCorrelate data across multiple data commons for analysis (e.g., pull images for analysis from the Imaging Data Commons, the ICDC, and any other commons that might come into play where they share some common parameter, like response to a certain drug). Steering Committee
10InternalDocumentation/Software should be developed to help the users transform and submit their data to the system in a user-friendly, easy-to-use fashion.M. Beyers
11InternalUsers should be able to store images, sequences (DNA/RNA/protein) in the system as part of their upload. Included in this is a need to be able to upload to an S3 bucket that is connected to the system.M. Beyers