NCI Office of Data Sharing (ODS) Data Jamboree (Abstract Submissions): Submission #34

Abstract Summary One of the biggest challenges in the utilization of large cancer datasets is the lack of accessibility to most interested parties. Many scientists may be unaware the data exist and they may be unsure of how to access and analyze the data. We have created a tool, LinkedOmics (https://www.linkedomics.org/login.php), which is a web-based application that makes multi-omics data analyses available to the research community. Within a dataset, a user can select one feature (such as clinical stage) to be correlated with all features in a data type (such as expression of all genes). Results are displayed as graphs and tables and can further be submitted for enrichment analyses. We plan to format and deposit the publicly available childhood cancer datasets into LinkedOmics. As a demonstration of use, we will correlate common mutation events in each cohort with molecular data and perform enrichment analyses to identify altered pathways in tumors with the mutation. We will also perform meta-analyses to compare common alterations across cancer types. The data will be uploaded to LinkedOmics before the jamboree and all analyses and demonstrations can be performed on a personal laptop.