Pangolin predicts changes in splice-site strength from DNA variants. It accepts variant files or custom sequence inputs.
Explanatory profile: source reviewed · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Masking | Default mask=True; a mask=False evaluation is a distinct configurationtkzeng/Pangolin official source · README.md: introduction and Usage (command-line), including supported variants and --mask |
| Model type | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
Schematic of the documented input, computation and output; not an executable configuration.
Pangolin uses 16 residual blocks with dilated convolutions and skip connections. Separate outputs estimate splice-site probability and usage across heart, liver, brain and testis. The published model was trained using sequence and splicing measurements from human, rhesus macaque, rat and mouse.
tkzeng/Pangolin official source · Original paper linked in README: https://doi.org/10.1186/s13059-022-02664-4, Methods: Deep neural network architecture; Results: Pangolin predicts splice site usageReference genome and transcript annotation define the sequence context. The neural predictor estimates splice-site strength; the command-line tool reports the largest positive and negative changes near each variant. Masking optionally removes particular gains and losses at annotated sites.
tkzeng/Pangolin official source · README.md: introduction and Usage (command-line), including supported variants and --maskRelease 2026-09-16-d74d282221a9 · 0 evaluations · 0 metric rows. Different protocols are not a single leaderboard.
No evaluations linked in this release.
Primary project documentation or paper inspected for the explanatory claims and cited locations. Reviewed coverage concerns this narrative, not complete metadata, independent reproduction or a performance ranking.
Stable record: discovery-model-pangolinThese evaluated pipelines include additional processing or trained components. Their results are not assigned to the underlying model.
Release 2026-09-16-d74d282221a9 · Record review: discovered
Stable ID: discovery-model-pangolin