rewirebio.iobenchmarks
Protocol

Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)

Variant-level classification of experimentally tested splicing effect by DNA-based splice predictors.

8 evaluations · 56 results

Overview

Variant-level classification of experimentally tested splicing effect by DNA-based splice predictors.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

8 recorded evaluations, 56 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

View coverage and remaining gaps across all benchmarks

Results

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

All evaluations

8 evaluations · 56 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: At least 1 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.854 f1-score
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 1 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell F25; row AtLeast1, column F1
Configuration: At least 1 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.818 negative-predictive-value
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 1 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell H25; row AtLeast1, column Neg Pred Value
Configuration: At least 1 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.778 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 1 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell G25; row AtLeast1, column Pos Pred Value
Configuration: At least 1 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.778 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 1 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell E25; row AtLeast1, column Precision
Configuration: At least 1 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.946 recall
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 1 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell C25; row AtLeast1, column Sensitivity (Recall)
Configuration: At least 1 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.474 specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 1 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell D25; row AtLeast1, column Specificity
Configuration: At least 2 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.907 f1-score
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 2 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell F26; row AtLeast2, column F1
Configuration: At least 2 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.833 negative-predictive-value
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 2 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell H26; row AtLeast2, column Neg Pred Value
Configuration: At least 2 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.895 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 2 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell G26; row AtLeast2, column Pos Pred Value
Configuration: At least 2 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.895 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 2 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell E26; row AtLeast2, column Precision
Configuration: At least 2 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.919 recall
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 2 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell C26; row AtLeast2, column Sensitivity (Recall)
Configuration: At least 2 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.789 specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 2 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell D26; row AtLeast2, column Specificity
Configuration: At least 3 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.87 f1-score
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 3 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell F27; row AtLeast3, column F1
Configuration: At least 3 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.708 negative-predictive-value
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 3 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell H27; row AtLeast3, column Neg Pred Value
Configuration: At least 3 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.938 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 3 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell G27; row AtLeast3, column Pos Pred Value
Configuration: At least 3 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.938 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 3 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell E27; row AtLeast3, column Precision
Configuration: At least 3 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.811 recall
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 3 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell C27; row AtLeast3, column Sensitivity (Recall)
Configuration: At least 3 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.895 specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 3 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell D27; row AtLeast3, column Specificity
Configuration: At least 4 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.8 f1-score
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 4 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell F28; row AtLeast4, column F1
Configuration: At least 4 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.607 negative-predictive-value
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 4 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell H28; row AtLeast4, column Neg Pred Value
Configuration: At least 4 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.929 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 4 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell G28; row AtLeast4, column Pos Pred Value
Configuration: At least 4 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.929 precision
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 4 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell E28; row AtLeast4, column Precision
Configuration: At least 4 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.703 recall
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 4 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell C28; row AtLeast4, column Sensitivity (Recall)
Configuration: At least 4 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.895 specificity
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

At least 4 of 4 splice predictors on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S4 'CAGI6 dataset', cell D28; row AtLeast4, column Specificity
Configuration: Pangolin (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, CAGI6 Splicing VUS subset (Drost et al. Data S1)
Dataset: CAGI6 Splicing VUS variants as scored by Drost et al.
0.958 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Pangolin on 56 CAGI6 Splicing VUS variants

rna-splicing-20261009-protocol-drost2025-cagi6

Aggregation: Not reported

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools; Drost et al. 2025, Data S1 (Tables S1-S6) · Data S1 Table S3 'Stratified datasets', Dataset 'CAGI6', cell I7; row Pangolin, column AUPRC

Source checking is not independent reproduction. Release 2026-10-09-ba02f2f4a36e.

Methods and evaluation design

Procedure, tasks and evaluated configurations

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Baseline coverage

Reference methods help show what a model adds beyond simple controls. We track a null control and a conventional method for each protocol.

0 of 2 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.

No execution recipe linked to this protocol. Recipe availability does not establish a completed evaluation.

Author-reported evaluations
4
External evaluations
4

Literature evidence is not a Rewire measurement. Executed but unpublished runs and private review status are not included.

Null control

Proposed control: requires review

Training-set class prior where supervised fitting is permitted

Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.

This is a suggested selection rule, not a validated method or a measured score.

Conventional reference

Proposed control: requires review

Regularised classifier on simple permitted features, or protocol's conventional reference

Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.

This is a suggested selection rule, not a validated method or a measured score.

Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)

Coverage is derived from release 2026-10-09-ba02f2f4a36e. Source citations describe the original records; they do not validate an unreviewed baseline proposal. No results have been generated by this audit.

Run instructions

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

Strengths, limitations and unresolved questions

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.

0 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-ba02f2f4a36e
Property and statementOriginal source and locationReview and provenance

No evidence rows match these filters. Choose another scope or clear the search.

Sources and history

Release 2026-10-09-ba02f2f4a36e · Record review: source checked

2 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: rna-splicing-20261009-protocol-drost2025-cagi6

areas
dna-genomes
contexts
clinical_research
protocol
Score each variant with SpliceAI, Pangolin, SPiP and SQUIRLS; truth is the experimental result in patient RNA (RT-PCR and Sanger) or exon trapping (effect on splicing versus no effect). AUROC (plotROC) and AUPRC (yardstick) from continuous scores; sensitivity, specificity, precision, F1, PPV and NPV (caret) after binarising at literature thresholds (SQUIRLS 0.018, SPiP 0.452, Pangolin 0.106, SpliceAI 0.12), and for at-least-N consensus rules.
version
Data S1 Tables S3 and S4
source locator
Data S1 Table S3 'Stratified datasets', Dataset 'CAGI6' (F7:I10); Table S4 'CAGI6 dataset' (B19:H28)
limitations
Ascertainment: 87% of in-house variants were sent for RNA testing because Alamut predicted a splicing change, so negatives are mostly predicted-but-unconfirmed variants.; Restricted to variants scorable by all four tools; per-tool missing scores are not counted as negatives.; Variant-level splicing effect, not pathogenicity; tissue was chosen per gene (blood, fibroblasts or exon trapping), not modelled by the predictors.; Literature thresholds, not tuned on this set; AUROC/AUPRC have no printed uncertainty.
missing metadata
metric implementation: reason: unextracted; note: R code not published with the article; packages plotROC 2.3.1, yardstick 1.2.0 and caret 6.0.94 are named
Related records

Suggest a correction