Artificial Intelligence Reveals Long-Range Genetic Effects on RNA Splice-Site Predictions (IMAGE)

The Institute of Medical Science, The University of Tokyo

Artificial Intelligence Reveals Long-Range Genetic Effects on RNA Splice-Site Predictions

Caption

Predicted donor splice-site strength in the DMD gene changes when decoy donor sequences are introduced at varying distances. The results demonstrate the model's ability to capture long-range regulatory effects, highlighting how distant DNA variants can influence RNA splicing predictions.

Credit

Professor Kenta Nakai from the Institute of Medical Science, The University of Tokyo, Japan Image source link: https://doi.org/10.1093/nar/gkag625

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