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Basenji2

Basenji predicts quantitative regulatory activity along DNA and scores the effects of sequence changes.

Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor

1 evaluation · 1 metric row

How it worksBasenji workflow
Basenji workflow1. DNA sequence. Then: 2. Convolutional sequence model. Then: 3. Binned regulatory signal. Then: 4. Optional variant comparisonBasenji workflow1. DNA sequence. Then: 2. Convolutional sequence model. Then: 3. Binned regulatory signal. Then: 4. Optional variant comparisonBasenji workflow1. DNA sequence. Then: 2. Convolutional sequence model. Then: 3. Binned regulatory signal. Then: 4. Optional variant comparison

Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.

Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor

Overview

limited source coverage · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

1 evaluation · 1 metric rows. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Basenji2Protocol: Enformer CAGE gene-expression comparison Across genes CAGE Pearson: Mean across-experiment Pearson correlation of human test-gene CAGE expression
Dataset subset: Enformer/Basenji2 human held-out test genes and CAGE experiments (Enformer CAGE gene-expression comparison split)
0.81 mean_across_experiment_gene_pearson
dimensionless · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · source checked
Methods, coverage and source

Basenji2 on Enformer CAGE gene-expression comparison Across genes CAGE Pearson: Mean across-experiment Pearson correlation of human test-gene CAGE expression

Human held-out test-set protein-coding genes; CAGE read counts summed over all unique TSS locations, using TSS-overlapping 128-bp bin plus two neighboring bins, log(1+x)-transformed and standardized across genes separately per experiment. Pearson correlation across genes per CAGE experiment, then mean across experiments. Same Basenji2 dataset and genomic intervals; human split 34,021 training/2,213 validation/1,937 test sequences. Cross-species homologous 1 Mb regions partitioned by connected components. Test-time mean of 8 random ≤3 bp shift/reverse-complement augmentations. Enformer input 196,608 bp, Basenji2 131,072 bp; receptive fields differ. Validation used for tuning; main comparison on test set.

Aggregation: Not reported

Enformer primary article: exact Figure 1b across-genes comparison reported in text · Results / Enformer improves gene expression prediction, Par7; Fig1b left caption; Methods Par32–36; exact narrative comparison, Basenji2 value 0.81

Source checking is not independent reproduction. Release 2026-09-23-2b89723c6dd9.

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How it works, versions and access

Related profile: Basenji. This page retains the exact record and its evaluation context.

This configuration

Pretrained Basenji2 used in the main Enformer paper comparisons (Methods Par35); a configured Basenji family version, not original Basenji1.

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Basenji2
configuration
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entity type
Configuration

How it works

How it works

Basenji predicts quantitative regulatory activity along DNA and scores the effects of sequence changes. Deep convolutional sequence model with binned regression outputs. The documented inputs are DNA sequence and, for training, aligned quantitative regulatory measurements. The output consists of predicted regulatory signal across sequence bins and derived variant-effect scores.

Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
Versions and reproducibility

Basenji implementation; Basset, Akita and Saluki are described separately. The applicable input limits require configuration-specific checking.

Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
Strengths, limitations and unresolved questions

Strengths and limitations

Limitations and conditions

  • The repository also contains Akita and Saluki, which are separate models. Their inputs and tasks must not be assigned to Basenji simply because they share a repository.
    Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
Profile review details

Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied.

Stable record: discovery-model-basenji

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
PropertyDescription and evidence
Model typeDilated convolutional genomic-track predictor
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
ArchitectureDeep convolutional sequence model with binned regression outputs.
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
InputsDNA sequence and, for training, aligned quantitative regulatory measurements.
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
OutputsPredicted regulatory signal across sequence bins and derived variant-effect scores.
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
ParametersThe repository describes a configurable Basenji model family rather than one checkpoint with a common parameter count; the selected model configuration is required. · Not reported in inspected sources
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
Known versionsBasenji implementation; Basset, Akita and Saluki are described separately.
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
Training dataChosen regulatory-activity datasets; the README points to preprocessing/training tutorials rather than identifying one universal checkpoint.
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
Training cutoffNo checkpoint is selected by this family record. Training-track accessions and collection dates must be taken from the chosen Basenji release, not inferred from the repository date. · Not reported in inspected sources
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
Context limitsThe inspected family README does not fix one input and output window across Basenji configurations. A run must preserve its sequence length, pooling and output-bin settings. · Not reported in inspected sources
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
Weights licenceSeparate checkpoint-distribution terms are not stated in the inspected release documentation and licence material. The source-code licence alone is not recorded as an explicit weight grant. · Not reported in inspected sources
Sources (3)calico/basenji: README.md; calico/basenji: docs/train.md; calico/basenji: LICENSE · README.md: Basenji and Basset successor; LICENSE: licence text
AccessOfficial project documentation and implementation: https://github.com/calico/basenji
Sources (2)calico/basenji: README.md; calico/basenji: docs/train.md · README.md: Basenji and Basset successor
Code licenceApache-2.0
Sourcescalico/basenji: LICENSE · LICENSE: licence text

Evidence

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Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-09-23-2b89723c6dd9
Property and statementOriginal source and locationReview and provenance
Relationship: family
discovery-model-basenji
Individual claims
Enformer primary article: exact Figure 1b across-genes comparison reported in text

Original source ↗

Results / Enformer improves gene expression prediction, Par7; Fig1b left caption; Methods Par32–36

Version: PMC8490152; SHA-256 pinned XML snapshot
Retrieved: 2026-09-23T11:35:43.993605+00:00

source checked

automated source review · 2026-09-23

Audit details

Source-backed evaluated identity only; no independent reproduction.

Field: links:family:discovery-model-basenji

Claim: enformer-cage-2021-method-basenji2-discovery-model-basenji-identity-claim

Source artifact SHA-256: 354632b465ccce978c56e049a314134cb74ad78a5301c8c8bf3127aa06d6c3b0

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

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Release 2026-09-23-2b89723c6dd9 · Record review: source checked

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: enformer-cage-2021-method-basenji2

areas
genomics
source locator
Results / Enformer improves gene expression prediction, Par7; Fig1b left caption; Methods Par32–36
missing metadata
checkpoint revision: unreported; parameters: unextracted
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