rewire.itbenchmarks
Task

Human 5mC detection

Human DNA methylation-site classification compares frozen foundation-model embeddings with supervised classifiers and a compact CNN baseline.

SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

2 evaluations · 2 results

Overview

Datasets

Human 5mC annotation windows from previously published benchmark datasets; positives and negatives derive from experimental profiling.

Metrics

AUC for binary tasks; pairwise DeLong tests assess AUC differences.

Allowed inputs

DNA windows represented by foundation-model embeddings.

SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
Evaluation procedure diagram
How it worksComputational evaluation flow
Computational evaluation flow1. Input: DNA windows represented by foundation-model embeddings.. Then: 2. Evaluation: Supervised conventional classifiers over embeddings; the sequence CNN is a separate baseline.. Then: 3. Readout: AUC for binary tasks; pairwise DeLong tests assess AUC differences.Computational evaluation flow1. Input: DNA windows represented by foundation-model embeddings.. Then: 2. Evaluation: Supervised conventional classifiers over embeddings; the sequence CNN is a separate baseline.. Then: 3. Readout: AUC for binary tasks; pairwise DeLong tests assess AUC differences.Computational evaluation flow1. Input: DNA windows represented by foundation-model embeddings.. Then: 2. Evaluation: Supervised conventional classifiers over embeddings; the sequence CNN is a separate baseline.. Then: 3. Readout: AUC for binary tasks; pairwise DeLong tests assess AUC differences.

Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.

SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

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

Results

Results are available, but no reviewed comparison panel is linked in this release.

All evaluations

2 evaluations · 2 results. 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: Caduceus-PhTask: Human 5mC detection
Dataset: Human 5mC
0.783 AUC
unitless · unknown

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Caduceus-Ph: Human 5mC detection

Binary epigenetic-modification classification as reported in the paper.

Aggregation: Not reported

Benchmarking DNA foundation models for genomic and genetic tasks · Table 3, Human 5mC row, Caduceus-Ph column
Configuration: NT-v2Task: Human 5mC detection
Dataset: Human 5mC
0.738 AUC
unitless · unknown

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

NT-v2: Human 5mC detection

Binary epigenetic-modification classification as reported in the paper.

Aggregation: Not reported

Benchmarking DNA foundation models for genomic and genetic tasks · Table 3, Human 5mC row, NT-v2 column

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

Methods and evaluation design

Procedure, tasks and evaluated configurations

How it works

Evaluation methodology

Human 5mC annotation windows from previously published benchmark datasets; positives and negatives derive from experimental profiling. The classification framework retains clearly specified source splits or applies randomized partitions; exact 5mC membership remains unextracted. AUC for binary tasks; pairwise DeLong tests assess AUC differences. Random forest, Naive Bayes and elastic-net classifiers over embeddings; a sequence CNN baseline. Similar sequences are filtered in the source dataset; complete pretraining exclusion is not established by this review. The paper uses significance testing for AUC differences; test-set uncertainty is distinct from variation across retraining.

SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Run instructions

No runnable recipe has been reviewed for this task. Dataset access, model requirements, licences and compute requirements must be checked against its sources before execution.

A task describes a biological question. Choose a linked protocol to obtain concrete split and scoring instructions.

Strengths, limitations and unresolved questions

Strengths and limitations

Strengths and considerations

No source-reviewed explanatory claims are recorded here yet.

Limitations and conditions

  • The chromosome-held-out nested protocol elsewhere in the paper concerns variant-effect quantification and is not asserted for this methylation classification task.
    SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
Profile review details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Stable record: reported-task-988ff78f86471e

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.

Data, procedure and scoring
PropertyDescription and evidence
DatasetsHuman 5mC annotation windows from previously published benchmark datasets; positives and negatives derive from experimental profiling.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
SplitsThe classification framework retains clearly specified source splits or applies randomized partitions; exact 5mC membership remains unextracted.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
MetricsAUC for binary tasks; pairwise DeLong tests assess AUC differences.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
BaselinesRandom forest, Naive Bayes and elastic-net classifiers over embeddings; a sequence CNN baseline.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
Leakage controlsSimilar sequences are filtered in the source dataset; complete pretraining exclusion is not established by this review.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
UncertaintyThe paper uses significance testing for AUC differences; test-set uncertainty is distinct from variation across retraining.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
Entity typePaper-specific computational evaluation protocol.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
OrganismsHuman.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
AssaysExperimental 5mC site annotations.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
Allowed inputsDNA windows represented by foundation-model embeddings.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114
AdaptationSupervised conventional classifiers over embeddings; the sequence CNN is a separate baseline.
SourcesBenchmarking DNA foundation models for genomic and genetic tasks · Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Papers and result coverage

Last literature check: 2026-09-17. Dated primary-source discovery and protocol/table screening. Source checking does not mean experimental reproduction. Only separately extracted and independently reviewed numeric batches are publishable.

Paper or primary resourceVersionReference
Benchmarking DNA foundation models for genomic and genetic tasksPMC12663285.1Read source
Historical gaps recorded on 2026-09-17

The catalogue now holds 2 result rows for this benchmark. A note below about pending extraction describes the state on 2026-09-17 and may since have been answered by a later batch. The result rows and their sources are the current record.

  • complete numerical transcription and independent cell review: Full primary artifact and table inventory preserved; no new numeric row is published from this audit alone.
  • exact checkpoint hashes and per-method scored denominators: Table labels alone do not establish these fields; do not infer checkpoint or scored count from model name or dataset size.
Search and extraction details

primary comparison tables located

Searches

  • Benchmarking DNA foundation models for genomic and genetic tasks 10.1038/s41467-025-65823-8

Evidence locations

  • Table 3; XML table Tab3

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.

17 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
Diagram caption
Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.diagram.caption

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Diagram steps
  • Input: DNA windows represented by foundation-model embeddings.
  • Evaluation: Supervised conventional classifiers over embeddings; the sequence CNN is a separate baseline.
  • Readout: AUC for binary tasks; pairwise DeLong tests assess AUC differences.
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.diagram.steps

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Diagram title
Computational evaluation flow
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.diagram.title

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Datasets
Human 5mC annotation windows from previously published benchmark datasets; positives and negatives derive from experimental profiling.
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.0.value

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Splits
The classification framework retains clearly specified source splits or applies randomized partitions; exact 5mC membership remains unextracted.
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.1.value

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Adaptation
Supervised conventional classifiers over embeddings; the sequence CNN is a separate baseline.
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.10.value

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Metrics
AUC for binary tasks; pairwise DeLong tests assess AUC differences.
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.2.value

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Baselines
Random forest, Naive Bayes and elastic-net classifiers over embeddings; a sequence CNN baseline.
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.3.value

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Leakage controls
Similar sequences are filtered in the source dataset; complete pretraining exclusion is not established by this review.
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.4.value

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Uncertainty
The paper uses significance testing for AUC differences; test-set uncertainty is distinct from variation across retraining.
Individual claims
Benchmarking DNA foundation models for genomic and genetic tasks

Original source ↗

Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114

Version: PMC12663285.1
Retrieved: 2026-09-16T10:33:35.327Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.5.value

Source artifact SHA-256: 5d8ca9bcf88cc1b38ad667906a2e4699b1aefa6d31c6f49259784930353f3202

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

Inspected artifact

Sources and history

View linked audit checks and correction history

Release 2026-09-29-06401fd5b220 · Record review: needs review

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

Stable ID: reported-task-988ff78f86471e

areas
dna-genomes
tasks
Human 5mC detection
entity level
task
version
Not reported
task
Human 5mC detection
scope note
Paper-specific evaluation task; protocol completeness requires further extraction.
benchmark research
review date: 2026-09-17; status: primary_comparison_tables_located; primary sources: evidence-expansion-dna-foundation-models-2025-5d8ca9bc; inspected locators: Table 3; XML table Tab3; searched queries: Benchmarking DNA foundation models for genomic and genetic tasks 10.1038/s41467-025-65823-8; gaps: complete numerical transcription and independent cell review: Full primary artifact and table inventory preserved; no new numeric row is published from this audit alone.; exact checkpoint hashes and per-method scored denominators: Table labels alone do not establish these fields; do not infer checkpoint or scored count from model name or dataset size.; claim scope: Dated primary-source discovery and protocol/table screening. Source checking does not mean experimental reproduction. Only separately extracted and independently reviewed numeric batches are publishable.
historical missing metadata
protocol version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
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.
legacy kinds
benchmark
entity classification
review date: 2026-09-17; rationale: This source-scoped record identifies the biological prediction task and holds its paper context. Preserve the existing task identity; exact split, model adaptation and scoring remain in linked evaluations or separate protocol records.; source ids: dna-foundation-models-2025; source locator: Methods: 5mC and 6mA modifications detection; Sequence classification benchmark; cached text lines 86, 110–114; ambiguities: A paper- or suite-specific task may constrain some inputs or metrics; that alone does not make it interchangeable with a complete versioned protocol. No protocol equivalence is inferred.; Some legacy profile Entity type facts use the generic phrase computational evaluation protocol. That boilerplate is not sufficient to establish a single fixed protocol identity or to merge this task with another protocol record.
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