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Basenji

Basenji predicts regulatory activity along DNA with deep convolutional networks.

0 evaluations · 0 metric rows

At a glance

Explanatory profile: source reviewed · Automated source review, 2026-09-16. This does not change the review status of its results.

Inputs, outputs and configuration
PropertyDescription and evidence
Output formRegulatory activity in sequence binscalico/basenji official source · README.md: opening goals and Changes versus Basset
Model typeNot extracted or verified for this record.
Known versionsNot extracted or verified for this record.
Training dataNot extracted or verified for this record.
Context limitsNot extracted or verified for this record.
AccessNot extracted or verified for this record.
Code licenceNot extracted or verified for this record.
Weights licenceNot extracted or verified for this record.

How it works

Conceptual procedure

Schematic of the documented input, computation and output; not an executable configuration.

Conceptual procedureDNA sequence. Then: Convolutional model. Then: Binned regulatory activity. Then: Allele comparison. Then: Predicted regulatory effectDNA sequenceConvolutional modelBinned regulatory activityAllele comparisonPredicted regulatory effect
Read the diagram as text
  1. DNA sequence
  2. Convolutional model
  3. Binned regulatory activity
  4. Allele comparison
  5. Predicted regulatory effect
calico/basenji official source · README.md: opening goals and Changes versus Basset

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 Basset

Benchmarks and results

Release 2026-09-16-d74d282221a9 · 0 evaluations · 0 metric rows. Different protocols are not a single leaderboard.

No evaluations linked in this release.

Strengths and limitations

Strengths supported by sources

Limitations and conditions

  • Bin resolution, target tracks and sequence context affect what the prediction represents; a project-level record is not a specific trained regulatory model.calico/basenji official source · README.md: opening goals and Changes versus Basset
Profile review details

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-basenji

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: discovered

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Technical metadata and extraction receipts

Stable ID: discovery-model-basenji

areas
genomics
access
official_source_linked
benchmark applicability
candidate; not evidence of a reported evaluation
candidate benchmark ids
None recorded
entity level
family
missing metadata
checkpoint: unextracted; code licence: unextracted; parameters: unextracted; training cutoff: unextracted; training data: unextracted; version: unextracted; weights licence: unextracted
reported name
Basenji
version
Not reported
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