Strengths supported by sources
- Supports sequence-to-activity and variant-scoring workflows.calico/basenji official source · README.md: opening goals and Changes versus Basset
Basenji predicts regulatory activity along DNA with deep convolutional networks.
Explanatory profile: source reviewed · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Output form | Regulatory activity in sequence binscalico/basenji official source · README.md: opening goals and Changes versus Basset |
| 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.
Sequence inputs are processed by convolutional models that output activity in bins. Variant scoring compares predicted activity for alternate sequences in a specified genomic context.
calico/basenji official source · README.md: opening goals and Changes versus BassetRelease 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-basenjiRelease 2026-09-16-d74d282221a9 · Record review: discovered
Stable ID: discovery-model-basenji