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Evaluation

SpliceAI2 prioritised variants confirmed in Genomics England RNA-seq

Developer-reported comparison transcribed from the pinned source; not reproduced.

Evaluation results

1 evaluation · 2 results. Different protocols are not a single leaderboard.

Protocol: RNA-seq confirmation of SpliceAI2-prioritised rare variants in panel genes, Genomics England rare-disease participants (SpliceAI2 paper) · Dataset: Genomics England rare-disease participants with WGS and blood RNA-seq (Jaganathan et al. 2026)

Sorted by True positives (of the 23 prioritised variants, those showing RNA-seq evidence of the predicted splicing change) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configurationTrue positives (of the 23 prioritised variants, those showing RNA-seq evidence of the predicted splicing change)Count (rare variants prioritised at SpliceAI2 > 0.25 in panel genes)
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Evaluation1723
All 2 result rows with coverage, uncertainty and sources
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Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: RNA-seq confirmation of SpliceAI2-prioritised rare variants in panel genes, Genomics England rare-disease participants (SpliceAI2 paper)
Dataset: Genomics England rare-disease participants with WGS and blood RNA-seq (Jaganathan et al. 2026)
17 True positives (of the 23 prioritised variants, those showing RNA-seq evidence of the predicted splicing change)
count · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 prioritised variants confirmed in Genomics England RNA-seq

rna-splicing-20261013-spliceai2-protocol-gel-prioritised-confirmation

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Main 'Contribution to rare genetic disease' paragraph 4: '... of which 17 showed evidence of the predicted splicing change'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: RNA-seq confirmation of SpliceAI2-prioritised rare variants in panel genes, Genomics England rare-disease participants (SpliceAI2 paper)
Dataset: Genomics England rare-disease participants with WGS and blood RNA-seq (Jaganathan et al. 2026)
23 Count (rare variants prioritised at SpliceAI2 > 0.25 in panel genes)
count · unknown

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 prioritised variants confirmed in Genomics England RNA-seq

rna-splicing-20261013-spliceai2-protocol-gel-prioritised-confirmation

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Main 'Contribution to rare genetic disease' paragraph 4: '... yielded 23 prioritized rare variants ...'

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

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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.

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

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Verified: Not verified

Evidence incomplete

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Missing or unresolved evidence

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  • Predictions are matched to the right samples: not yet verified
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  • Metrics are recomputed from the saved predictions: not yet verified
  • Sample annotations are recorded: not yet verified
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Verified: Not verified

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Verified: Not verified

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Missing or unresolved evidence

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  • File checksums match the recorded files: not yet verified
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  • 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

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

Evaluation procedure

RNA-seq confirmation of SpliceAI2-prioritised rare variants in panel genes, Genomics England rare-disease participants (SpliceAI2 paper)

Configuration
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)
Protocol
RNA-seq confirmation of SpliceAI2-prioritised rare variants in panel genes, Genomics England rare-disease participants (SpliceAI2 paper)
Dataset
Genomics England rare-disease participants with WGS and blood RNA-seq (Jaganathan et al. 2026)
origin
Author-reported evaluation
configuration
bioRxiv v1, retrieved 2026-10-13
protocol id
rna-splicing-20261013-spliceai2-protocol-gel-prioritised-confirmation
adaptation
Not reported
budget
Not reported
dataset version
Genomics England NGRL rare-disease WGS and RNA-seq (project 754)
split
None
population
Participants with RNA-seq, monoallelic disorders and up to 500 panel genes
inputs
SpliceAI2 summary score > 0.25 for rare variants in phenotype-matched panel genes
metric implementation
Count of prioritised variants and of those with RNA-seq evidence of the predicted change
aggregation
Count

Metadata review: source checked. Unreported conditions prevent automatic comparisons.

Reproduction

Split
None
Adaptation
Not reported
Scoring implementation
Count of prioritised variants and of those with RNA-seq evidence of the predicted change

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

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.

18 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
Comparison: adaptation
Not reported
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

Comparison: aggregation
Count
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

Comparison: budget
Not reported
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

Comparison: dataset version
Genomics England NGRL rare-disease WGS and RNA-seq (project 754)
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

Comparison: inputs
SpliceAI2 summary score > 0.25 for rare variants in phenotype-matched panel genes
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

Comparison: metric implementation
Count of prioritised variants and of those with RNA-seq evidence of the predicted change
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.metric_implementation

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

Comparison: population
Participants with RNA-seq, monoallelic disorders and up to 500 panel genes
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.population

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

Comparison: protocol id
rna-splicing-20261013-spliceai2-protocol-gel-prioritised-confirmation
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.protocol_id

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

Comparison: split
None
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.split

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

Origin
author_reported
Context-only references
A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026)

Original source ↗

Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5

Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages)
Retrieved: 2026-10-13T12:40:34Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.origin

Source artifact SHA-256: f8f3db2c3943d4827b670bc2e962e0cec8fbe96e0b1acf9d4a9b9f0c7a78c06b

Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy.

Inspected artifact

How to read the evidence

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-20261013-spliceai2-eval-gel-prioritised-confirmation-spliceai2-ensemble

areas
dna-genomes; rna-transcriptomes
contexts
clinical_research
origin
author_reported
protocol
rna-splicing-20261013-spliceai2-protocol-gel-prioritised-confirmation
version
bioRxiv v1, retrieved 2026-10-13
comparison
protocol id: rna-splicing-20261013-spliceai2-protocol-gel-prioritised-confirmation; adaptation: Not reported; budget: Not reported; dataset version: Genomics England NGRL rare-disease WGS and RNA-seq (project 754); split: None; population: Participants with RNA-seq, monoallelic disorders and up to 500 panel genes; inputs: SpliceAI2 summary score > 0.25 for rare variants in phenotype-matched panel genes; metric implementation: Count of prioritised variants and of those with RNA-seq evidence of the predicted change; aggregation: Count
source locator
Main 'Contribution to rare genetic disease' paragraph 4; Extended Data Fig. 5
missing metadata
comparison.adaptation: reason: inapplicable; note: Pretrained weights; no adaptation to the benchmark; comparison.budget: reason: inapplicable; note: Pretrained scoring; no search or training budget
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