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Visual Exploration of Longitudinal Oncology Data

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Next-generation sequencing technologies, new immuno-profile assays, and liquid biopsies aid researchers in studying tumor development over time. There is a critical need for visualizations to help researchers explore temporal patterns not just in a single patient but across a cohort. To address this need OncoThreads ( was developed, a tool for the visualization of longitudinal cancer genomics data in patient cohorts. The tool visualizes patient cohorts as temporal heatmaps and Sankey diagrams that support the interactive exploration and ranking of a wide range of clinical and genomic features. This approach allows analysts to discover temporal patterns in longitudinal data, such as the effect of mutations on the success of a treatment. the functionality of OncoThreadsis being demonstrated by using a glioblastoma data set.

This talk is part of the Seminars on Quantitative Biology @ CRUK Cambridge Institute series.

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