OpenSplice SNV

Predict signed changes in alternative-exon inclusion for SNVs in complete three-exon minigene cassettes, using exact construct sequence and assay context.

Task design

published exon panels, each containing 50 measured SNVs sampled as five candidates from each of ten effect-rank bins. Every prompt uses opaque candidate IDs and excludes source identity, outcomes, selection labels, genomic coordinates, and specialized predictor outputs.

The primary score is mean within-exon Spearman correlation. Mean Pearson correlation reports numerical agreement, valid-output rate reports strict JSON compliance, and invalid completed outputs contribute zero while remaining identifiable as format failures.

Task version: 1.0 · question schema 2.0
Output: FINAL: {"V01": number, ...}
Questions: Public development set

Interpretation

Exons were deliberately selected for large measured 5th-to-95th-percentile effect range, and each panel is quantile-balanced. The task emphasizes effect discrimination rather than the natural distribution of exon architectures or effect sizes. Scores describe exon inclusion in a specific HEK293T minigene reporter; they are not direct estimates of native-tissue splicing or clinical pathogenicity.

Questions

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