rewirebio.iobenchmarks
Configuration

At least 2 of 4 splice predictors (Drost et al.)

Effect predicted when at least 2 of SpliceAI, Pangolin, SPiP and SQUIRLS exceed their literature thresholds.

3 evaluations · 18 results

Overview

Effect predicted when at least 2 of SpliceAI, Pangolin, SPiP and SQUIRLS exceed their literature thresholds.

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

Evaluations and results

3 evaluations · 18 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 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 2 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.878 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 in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

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 'In House dataset', cell F39; 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, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.831 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 in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

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 'In House dataset', cell H39; 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, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.844 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 in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

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 'In House dataset', cell G39; 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, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.844 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 in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

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 'In House dataset', cell E39; 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, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.915 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 in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

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 'In House dataset', cell C39; 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, in-house diagnostic cohort (Drost et al. Data S1)
Dataset: Drost et al. in-house RNA-tested diagnostic variants, scorable subset
0.71 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 in-house scorable variants (count not printed)

rna-splicing-20261009-protocol-drost2025-inhouse

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 'In House dataset', cell D39; row AtLeast2, column Specificity
Configuration: At least 2 of 4 splice predictors (Drost et al.)Protocol: Splice-effect prediction against patient-RNA or exon-trapping results, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.885 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 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

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 'Entire Dataset', cell F13; 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, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.831 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 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

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 'Entire Dataset', cell H13; 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, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.855 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 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

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 'Entire Dataset', cell G13; 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, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.855 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 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

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 'Entire Dataset', cell E13; 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, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.916 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 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

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 'Entire Dataset', cell C13; 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, all 243 scorable variants (Drost et al. Data S1)
Dataset: Drost et al. RNA-tested clinical variants plus CAGI6 Splicing VUS, 243 scorable
0.727 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 243 scorable variants (in-house plus CAGI6)

rna-splicing-20261009-protocol-drost2025-merged-243

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 'Entire Dataset', cell D13; row AtLeast2, column Specificity

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Release 2026-10-10-7b8f80935f90 · Record review: source checked

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Technical metadata and extraction receipts

Stable ID: rna-splicing-20261009-config-drost2025-at-least-2

areas
dna-genomes
contexts
clinical_research
method types
conventional_pipeline
reported name
At least 2 of 4 splice predictors (Drost et al.)
foundation model eligible
false
version
AtLeast2 (as printed)
parameters
Component thresholds: SQUIRLS 0.018, SPiP 0.452, Pangolin 0.106, SpliceAI 0.12
source locator
Data S1 Table S4 row label 'AtLeast2'; Results paragraph 3
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