rewirebio.iobenchmarks
Dataset

Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) as used by Fortier et al. 2026. The 213 variants are the union of the stored Riepe sets splicing-follow-up-20261009-data-riepe2021-abca4-di (81), -abca4-ncss (71) and -mybpc3-ncss (61).

Evaluation results

4 evaluations · 16 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: CI-SpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.794 Balanced accuracy (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CI-SpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'CI-SpliceAI', column 'Balanced Accuracy'
Configuration: CI-SpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.785 F1 (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CI-SpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'CI-SpliceAI', column 'F1'
Configuration: CI-SpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.706 Recall (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CI-SpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'CI-SpliceAI', column 'Sensitivity'
Configuration: CI-SpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.883 Specificity (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

CI-SpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'CI-SpliceAI', column 'Specificity'
Configuration: Legacy Ensemble (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.659 Balanced accuracy (threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

Legacy Ensemble on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'Legacy Ensemble', column 'Balanced Accuracy'
Configuration: Legacy Ensemble (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.609 F1 (threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

Legacy Ensemble on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'Legacy Ensemble', column 'F1'
Configuration: Legacy Ensemble (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.5 Recall (threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

Legacy Ensemble on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'Legacy Ensemble', column 'Sensitivity'
Configuration: Legacy Ensemble (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.817 Specificity (threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

Legacy Ensemble on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'Legacy Ensemble', column 'Specificity'
Configuration: OpenSpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.746 Balanced accuracy (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OpenSpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'OpenSpliceAI', column 'Balanced Accuracy'
Configuration: OpenSpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.741 F1 (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OpenSpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'OpenSpliceAI', column 'F1'
Configuration: OpenSpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.672 Recall (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OpenSpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'OpenSpliceAI', column 'Sensitivity'
Configuration: OpenSpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.819 Specificity (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

OpenSpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'OpenSpliceAI', column 'Specificity'
Configuration: SpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.836 Balanced accuracy (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'SpliceAI', column 'Balanced Accuracy'
Configuration: SpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.839 F1 (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'SpliceAI', column 'F1'
Configuration: SpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.79 Recall (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'SpliceAI', column 'Sensitivity'
Configuration: SpliceAI (Fortier et al. 2026)Protocol: Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset: Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
0.883 Specificity (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

SpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

rna-splicing-20261011-fortier2026-protocol-riepe

Aggregation: Not reported

Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'SpliceAI', column 'Specificity'

Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.

Research readiness

0 of 4 readiness checks met. These checks assess whether the evidence supports a reproducible investigation; a source-checked score alone does not meet them.

Readiness checks, gaps and artifacts

Release 2026-10-22-1b7cf027e4f6 · Evidence verified: Not verified

Evidence incomplete

Replay metrics

Exact outcomes, predictions, identifiers and evaluator are connected.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Metrics are recomputed from the saved predictions: not yet verified

Verified: Not verified

Evidence incomplete

Investigate discrepancies

Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Metrics are recomputed from the saved predictions: not yet verified
  • Sample annotations are recorded: not yet verified
  • Dependence between samples is assessed: not yet verified

Verified: Not verified

Evidence incomplete

Run locally

A pinned recipe describes the inputs, environment and resource requirements.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • A pinned run recipe exists: not yet verified
  • Compute requirements are estimated: not yet verified

Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Independent validation data exist: not yet verified
  • Overlap with training data is checked: not yet verified

Verified: Not verified

Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.

Artifacts and reproduction

No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Dataset and evaluation context

A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.

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.

6 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statementOriginal source and locationReview and provenance
Population
152 ABCA4 and 61 MYBPC3 variants from the functional splice assays of Riepe et al. (2021); 81 ABCA4 variants are deep intronic; none alter canonical splice-site dinucleotides
Context-only references
Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026)

Original source ↗

Methods 'Riepe benchmark dataset' and 'Splice prediction tools'

Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML
Retrieved: 2026-10-11T21:37:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.population

Source artifact SHA-256: dffe74cee7782cbdfdbc9423cf00f0a846b3d720b90b10e9732d6f768c485176

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

Inspected artifact

Source location
Methods 'Riepe benchmark dataset' and 'Splice prediction tools'
Context-only references
Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026)

Original source ↗

Methods 'Riepe benchmark dataset' and 'Splice prediction tools'

Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML
Retrieved: 2026-10-11T21:37:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_locator

Source artifact SHA-256: dffe74cee7782cbdfdbc9423cf00f0a846b3d720b90b10e9732d6f768c485176

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

Inspected artifact

Split
No split; whole set scored
Context-only references
Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026)

Original source ↗

Methods 'Riepe benchmark dataset' and 'Splice prediction tools'

Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML
Retrieved: 2026-10-11T21:37:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.split

Source artifact SHA-256: dffe74cee7782cbdfdbc9423cf00f0a846b3d720b90b10e9732d6f768c485176

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

Inspected artifact

Version
As assembled by Fortier et al. 2026 (Supporting Information S1 to S5 Files)
Context-only references
Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026)

Original source ↗

Methods 'Riepe benchmark dataset' and 'Splice prediction tools'

Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML
Retrieved: 2026-10-11T21:37:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.version

Source artifact SHA-256: dffe74cee7782cbdfdbc9423cf00f0a846b3d720b90b10e9732d6f768c485176

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

Inspected artifact

Description
Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) as used by Fortier et al. 2026. The 213 variants are the union of the stored Riepe sets splicing-follow-up-20261009-data-riepe2021-abca4-di (81), -abca4-ncss (71) and -mybpc3-ncss (61).
Context-only references
Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026)

Original source ↗

Methods 'Riepe benchmark dataset' and 'Splice prediction tools'

Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML
Retrieved: 2026-10-11T21:37:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: description

Source artifact SHA-256: dffe74cee7782cbdfdbc9423cf00f0a846b3d720b90b10e9732d6f768c485176

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

Inspected artifact

Name
Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
Context-only references
Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026)

Original source ↗

Methods 'Riepe benchmark dataset' and 'Splice prediction tools'

Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML
Retrieved: 2026-10-11T21:37:04Z

not individually reviewed

No individual claim review recorded

Audit details

Field: name

Source artifact SHA-256: dffe74cee7782cbdfdbc9423cf00f0a846b3d720b90b10e9732d6f768c485176

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

Inspected artifact

Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: rna-splicing-20261011-fortier2026-data-riepe

areas
dna-genomes
contexts
clinical_research
version
As assembled by Fortier et al. 2026 (Supporting Information S1 to S5 Files)
population
152 ABCA4 and 61 MYBPC3 variants from the functional splice assays of Riepe et al. (2021); 81 ABCA4 variants are deep intronic; none alter canonical splice-site dinucleotides
split
No split; whole set scored
source locator
Methods 'Riepe benchmark dataset' and 'Splice prediction tools'
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