In vitro selection and evolution is a powerful method for discovering RNA molecules based on their binding and catalysis properties. However, the resulting RNA sequences form a large, high-dimensional space and biologists lack adequate tools to explore and interpret these sequences. We present invis, the first visual analysis tool to facilitate exploration of in vitro selection sequence spaces. invis introduces a novel configuration of coordinated views that enables simultaneous inspection of global projections of sequence data alongside local regions of selected dimensions and sequence clusters.

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Stanford Visualization Group

Stanford Visualization Group

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