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Regulatory Element Prediction for Alternative Splicing in Crop Genes

Agricultural Bioinformatics

Alternative Splicing Prediction in Crops

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Agricultural Bioinformatics › Alternative Splicing Prediction in Crops

Regulatory Element Prediction for Alternative Splicing in Crop Genes

This research develops computational methods to identify and characterize splicing regulatory elements including exonic and intronic enhancers and silencers in crop genes through machine learning approaches. The investigation produces predictive models of regulatory sequence function that advance understanding of splicing control mechanisms and enable rational gene editing approaches.

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