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Michael Zager, Gretchen Krenn (Fred Hutch Cancer Center, Seattle, WA, USA)
The rapid generation and expanding accessibility of clinical and molecular data is shifting the bottleneck in cancer research from data acquisition to data aggregation and interpretation. Many tools have been developed to address various aspects of this need to overcome the persistent challenges in cohort discovery and analysis for translational research and prospective clinical-decision support in precision medicine, we developed Oncoscape, an online open-access data-analysis and visualization platform (see URLs) that empowers researchers and clinicians to discover novel patterns and relationships between linked clinical and molecular data. Through a suite of interoperable tools, Oncoscape offers a unique and intuitive approach to iterative hypothesis refinement and cohort discovery by establishing a platform that allows users to easily traverse data types and methods. With its a modern framework and modular design, Oncoscape is a scalable solution for easily implementing and building an extensible library of datasets and tools.