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Evaluating the performance of splicing predictors on thousands of synthetic gene variants

2026-08-27

Abstract excerpt

Computational predictors of RNA splicing are increasingly used to interpret genetic variants and to design synthetic genes, yet they are almost always benchmarked on endogenous human sequences closely related to their training data. Whether their performance reflects genuine recognition of splicing signals, or instead exploits statistical features of natural genomes such as conservation and exon–intron composition...

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Literature Corpus work
26c42b8b-f707-5d90-8c76-881100d7f9b8
DOI
10.64898/2026.08.24.746734
Open publication

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Evaluating the performance of splicing predictors on thousands of synthetic gene variantsDOI 10.64898/2026.08.24.746734
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