Model type
Plant DNA transformer encoder
Model
Agro Nucleotide Transformer
AgroNT learns DNA representations from plant reference genomes for plant molecular prediction tasks.
Sources (7)
instadeepai/nucleotide-transformer: README.md; instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/segment_nt.md; InstaDeepAI/agro-nucleotide-transformer-1b: README.md; InstaDeepAI/agro-nucleotide-transformer-1b: config.json; agront: Journal full-text XML · AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadataHow it worksAgro Nucleotide Transformer workflow
Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.
Sources (7)
instadeepai/nucleotide-transformer: README.md; instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/segment_nt.md; InstaDeepAI/agro-nucleotide-transformer-1b: README.md; InstaDeepAI/agro-nucleotide-transformer-1b: config.json; agront: Journal full-text XML · AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadataOverview
Inputs
Plant DNA sequence, with standalone tokens for ambiguous or remainder bases.
Sources (7)
instadeepai/nucleotide-transformer: README.md; instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/segment_nt.md; InstaDeepAI/agro-nucleotide-transformer-1b: README.md; InstaDeepAI/agro-nucleotide-transformer-1b: config.json; agront: Journal full-text XML · AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadataOutputs
DNA embeddings for downstream regulatory, RNA-processing or expression tasks.
Sources (7)
instadeepai/nucleotide-transformer: README.md; instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/segment_nt.md; InstaDeepAI/agro-nucleotide-transformer-1b: README.md; InstaDeepAI/agro-nucleotide-transformer-1b: config.json; agront: Journal full-text XML · AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadataAccess
Official project documentation and implementation: https://github.com/instadeepai/nucleotide-transformer
Sources (7)
instadeepai/nucleotide-transformer: README.md; instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/segment_nt.md; InstaDeepAI/agro-nucleotide-transformer-1b: README.md; InstaDeepAI/agro-nucleotide-transformer-1b: config.json; agront: Journal full-text XML · AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadatalimited source coverage · Automated source review, 2026-09-16. All specifications and missing details
Evaluations and results
12 evaluations · 12 metric rows. Different protocols are not a single leaderboard.
Filter evaluations
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: AgroNT: promoter strength, maize protoplasts | Protocol: PGB promoter strength maize protoplasts: A. thaliana: promoter strength prediction Dataset subset: promoter strength test sequences: maize protoplasts: A. thaliana (PGB promoter strength split) | 0.62 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3e source table · Figures/Fig3_panele.txt, line 2 (data row 1), column R2; Species=A. thaliana; Model=Maize model; Type=AgroNT |
| Configuration: AgroNT: promoter strength, maize protoplasts | Protocol: PGB promoter strength maize protoplasts: S. bicolor: promoter strength prediction Dataset subset: promoter strength test sequences: maize protoplasts: S. bicolor (PGB promoter strength split) | 0.68 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3e source table · Figures/Fig3_panele.txt, line 3 (data row 2), column R2; Species=S. bicolor; Model=Maize model; Type=AgroNT |
| Configuration: AgroNT: promoter strength, maize protoplasts | Protocol: PGB promoter strength maize protoplasts: Z. mays: promoter strength prediction Dataset subset: promoter strength test sequences: maize protoplasts: Z. mays (PGB promoter strength split) | 0.71 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3e source table · Figures/Fig3_panele.txt, line 4 (data row 3), column R2; Species=Z. mays; Model=Maize model; Type=AgroNT |
| Configuration: AgroNT: promoter strength, tobacco leaves | Protocol: PGB promoter strength tobacco leaves: A. thaliana: promoter strength prediction Dataset subset: promoter strength test sequences: tobacco leaves: A. thaliana (PGB promoter strength split) | 0.62 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3e source table · Figures/Fig3_panele.txt, line 5 (data row 4), column R2; Species=A. thaliana; Model=Tobacco model; Type=AgroNT |
| Configuration: AgroNT: promoter strength, tobacco leaves | Protocol: PGB promoter strength tobacco leaves: S. bicolor: promoter strength prediction Dataset subset: promoter strength test sequences: tobacco leaves: S. bicolor (PGB promoter strength split) | 0.74 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3e source table · Figures/Fig3_panele.txt, line 6 (data row 5), column R2; Species=S. bicolor; Model=Tobacco model; Type=AgroNT |
| Configuration: AgroNT: promoter strength, tobacco leaves | Protocol: PGB promoter strength tobacco leaves: Z. mays: promoter strength prediction Dataset subset: promoter strength test sequences: tobacco leaves: Z. mays (PGB promoter strength split) | 0.75 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3e source table · Figures/Fig3_panele.txt, line 7 (data row 6), column R2; Species=Z. mays; Model=Tobacco model; Type=AgroNT |
| Configuration: AgroNT: terminator strength, maize protoplasts | Protocol: PGB terminator strength maize protoplasts: A. thaliana: terminator strength prediction Dataset subset: terminator strength test sequences: maize protoplasts: A. thaliana (PGB terminator strength split) | 0.69 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3f source table · Figures/Fig3_panelf.txt, line 2 (data row 1), column R2; Species=A. thaliana; Model=Maize model; Type=AgroNT |
| Configuration: AgroNT: terminator strength, maize protoplasts | Protocol: PGB terminator strength maize protoplasts: randomized GC sequences: terminator strength prediction Dataset subset: terminator strength test sequences: maize protoplasts: randomized GC sequences (PGB terminator strength split) | 0.68 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3f source table · Figures/Fig3_panelf.txt, line 3 (data row 2), column R2; Species=GC; Model=Maize model; Type=AgroNT |
| Configuration: AgroNT: terminator strength, maize protoplasts | Protocol: PGB terminator strength maize protoplasts: Z. mays: terminator strength prediction Dataset subset: terminator strength test sequences: maize protoplasts: Z. mays (PGB terminator strength split) | 0.65 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3f source table · Figures/Fig3_panelf.txt, line 4 (data row 3), column R2; Species=Z. mays; Model=Maize model; Type=AgroNT |
| Configuration: AgroNT: terminator strength, tobacco leaves | Protocol: PGB terminator strength tobacco leaves: A. thaliana: terminator strength prediction Dataset subset: terminator strength test sequences: tobacco leaves: A. thaliana (PGB terminator strength split) | 0.77 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3f source table · Figures/Fig3_panelf.txt, line 5 (data row 4), column R2; Species=A. thaliana; Model=Tobacco model; Type=AgroNT |
| Configuration: AgroNT: terminator strength, tobacco leaves | Protocol: PGB terminator strength tobacco leaves: randomized GC sequences: terminator strength prediction Dataset subset: terminator strength test sequences: tobacco leaves: randomized GC sequences (PGB terminator strength split) | 0.67 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3f source table · Figures/Fig3_panelf.txt, line 6 (data row 5), column R2; Species=GC; Model=Tobacco model; Type=AgroNT |
| Configuration: AgroNT: terminator strength, tobacco leaves | Protocol: PGB terminator strength tobacco leaves: Z. mays: terminator strength prediction Dataset subset: terminator strength test sequences: tobacco leaves: Z. mays (PGB terminator strength split) | 0.76 r2 coefficient of determination · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · source checkedMethods, coverage and source170 bp assay sequences; original study train/test datasets, as described in Methods Sec21. R² is scored separately by assay system and sequence class. Fitted model checkpoint, seeds and scored counts are not established here. Aggregation: Not reported AgroNT Figure 3f source table · Figures/Fig3_panelf.txt, line 7 (data row 6), column R2; Species=Z. mays; Model=Tobacco model; Type=AgroNT |
Source checking is not independent reproduction. Release 2026-09-23-2b89723c6dd9.
Use this model
How it works, versions and access
Versions and evaluated configurations
How it works
How it works
AgroNT learns DNA representations from plant reference genomes for plant molecular prediction tasks. One-billion-parameter encoder-only transformer with 40 attention blocks, hidden width 1,500, learned positional embeddings and a six-mer masked-language-model head. The documented inputs are plant DNA sequence, with standalone tokens for ambiguous or remainder bases. The output consists of DNA embeddings for downstream regulatory, RNA-processing or expression tasks.
Sources (7)
instadeepai/nucleotide-transformer: README.md; instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/segment_nt.md; InstaDeepAI/agro-nucleotide-transformer-1b: README.md; InstaDeepAI/agro-nucleotide-transformer-1b: config.json; agront: Journal full-text XML · AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadataVersions and reproducibility
1B_agro_nt pretrained model. 1,024 tokens, approximately 6kb of unambiguous sequence rather than an unconditional 6,144-base guarantee.
Sources (7)
instadeepai/nucleotide-transformer: README.md; instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/segment_nt.md; InstaDeepAI/agro-nucleotide-transformer-1b: README.md; InstaDeepAI/agro-nucleotide-transformer-1b: config.json; agront: Journal full-text XML · AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadataStrengths, limitations and unresolved questions
Strengths and limitations
Strengths and considerations
- Pretraining explicitly targets plant reference genomes, predominantly crop species.
Sources (7)
instadeepai/nucleotide-transformer: README.md; instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/segment_nt.md; InstaDeepAI/agro-nucleotide-transformer-1b: README.md; InstaDeepAI/agro-nucleotide-transformer-1b: config.json; agront: Journal full-text XML · AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata
Limitations and conditions
- The context is counted in tokens: the class token and ambiguous bases reduce the maximum number of ordinary bases represented. Predictions outside the studied species/tasks need separate evaluation.
Sources (7)
instadeepai/nucleotide-transformer: README.md; instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md; instadeepai/nucleotide-transformer: docs/segment_nt.md; InstaDeepAI/agro-nucleotide-transformer-1b: README.md; InstaDeepAI/agro-nucleotide-transformer-1b: config.json; agront: Journal full-text XML · AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata
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-agro-nucleotide-transformerSpecifications
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.
Applicable tests and references
Applicability is distinct from a completed evaluation.
- GENEB · Proposed association
Evidence
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
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.
134 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims | InstaDeepAI/agro-nucleotide-transformer-1b: config.json AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b0e1ea1f53a2bf5bb29f8eab7a7e553bf06c1ab1 | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims | instadeepai/nucleotide-transformer: README.md AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims | InstaDeepAI/agro-nucleotide-transformer-1b: README.md AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b0e1ea1f53a2bf5bb29f8eab7a7e553bf06c1ab1 | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims | instadeepai/nucleotide-transformer: docs/segment_nt.md AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims | instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims | agront: Journal full-text XML AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Retrieved page snapshot; no immutable publisher revision supplied | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims | instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
Diagram steps
| InstaDeepAI/agro-nucleotide-transformer-1b: config.json AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b0e1ea1f53a2bf5bb29f8eab7a7e553bf06c1ab1 | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
Diagram steps
| instadeepai/nucleotide-transformer: README.md AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
Diagram steps
| InstaDeepAI/agro-nucleotide-transformer-1b: README.md AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b0e1ea1f53a2bf5bb29f8eab7a7e553bf06c1ab1 | source checked automated source review · 2026-09-16 Audit detailsInspected 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. Field: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
Sources and history
View linked audit checks and correction history
Release 2026-09-23-2b89723c6dd9 · Record review: discovered
9 source records and release history
- instadeepai/nucleotide-transformer official source · Original source · 2dc37b86e16a6970fbc731751f7719d9f676f7f9
- instadeepai/nucleotide-transformer: README.md · Original source · 2dc37b86e16a6970fbc731751f7719d9f676f7f9
- instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md · Original source · 2dc37b86e16a6970fbc731751f7719d9f676f7f9
- instadeepai/nucleotide-transformer: docs/agro_nucleotide_transformer.md · Original source · 2dc37b86e16a6970fbc731751f7719d9f676f7f9
- instadeepai/nucleotide-transformer: docs/segment_nt.md · Original source · 2dc37b86e16a6970fbc731751f7719d9f676f7f9
- InstaDeepAI/agro-nucleotide-transformer-1b: README.md · Original source · b0e1ea1f53a2bf5bb29f8eab7a7e553bf06c1ab1
- InstaDeepAI/agro-nucleotide-transformer-1b: config.json · Original source · b0e1ea1f53a2bf5bb29f8eab7a7e553bf06c1ab1
- agront: Journal full-text XML · Original source · Retrieved page snapshot; no immutable publisher revision supplied
- instadeepai/nucleotide-transformer: LICENSE.md · Original source · 2dc37b86e16a6970fbc731751f7719d9f676f7f9
Technical metadata and extraction receipts
Stable ID: discovery-model-agro-nucleotide-transformer
- areas
- genomics
- access
- official_source_linked
- benchmark applicability
- candidate; not evidence of a reported evaluation
- candidate benchmark ids
- discovery-benchmark-geneb
- entity level
- family
- reported name
- Agro Nucleotide Transformer
- version
- Not reported
- historical missing metadata
- checkpoint: unextracted; code licence: unextracted; parameters: unextracted; training cutoff: unextracted; training data: unextracted; version: unextracted; weights licence: unextracted
- metadata review scope
- historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
- entity classification
- review date: 2026-09-17; rationale: The cited profile describes a named learned biological predictor or representation model/family. Preserve this identity separately from task-specific fitting, individual checkpoints, pipelines and hosted access.; source ids: evidence-official-18d8f4d5fc3f6616922d; evidence-official-657e83427ab59f3aec83; evidence-official-56f02d45976d011d80aa; evidence-official-4920952f9b3c4b8909a0; evidence-official-4603e2d255507e025c80; evidence-official-04ac37076f906b8470cb; evidence-official-576c2ecba240ddfda8f2; source locator: AgroNT paper Methods: Architecture, Pre-training dataset and Pre-training strategy; official model-card licence metadata; ambiguities: None recorded
Related records
- applicable to: GENEB
- family: AgroNT: promoter strength, maize protoplasts
- family: AgroNT: promoter strength, tobacco leaves
- family: AgroNT: terminator strength, maize protoplasts
- family: AgroNT: terminator strength, tobacco leaves