rewirebio.iobenchmarks
Configuration

SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)

SpliceAI2 two-model multispecies ensemble: 196,608 bp sense-strand input with species one-hot; about 13 million trainable parameters per model; donor, acceptor and junction usage; shared candidate splice sites for both alleles and both models.

10 evaluations · 23 results

Overview

An explanatory profile has not yet been reviewed for this record.

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

Evaluations and results

10 evaluations · 23 results. Different protocols are not a single leaderboard.

Sorted by Spearman (all variants; essential splice variants excluded) (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 configurationProtocol and datasetSpearman (all variants; essential splice variants excluded)Spearman (exonic variants; essential splice variants excluded)Spearman (intronic variants; essential splice variants excluded)AUPRC (all variants; essential splice variants excluded)AUPRC (all variants)AUPRC (deep intronic variants (500 bp or more from the nearest exon); essential splice variants excluded)AUPRC (exonic variants; essential splice variants excluded)AUPRC (near intronic variants (under 500 bp from the nearest exon); essential splice variants excluded)AUROC (all variants; essential splice variants excluded)AUROC (exonic variants; essential splice variants excluded)AUROC (intronic variants; essential splice variants excluded)Count (excess panel-matched variants over phenotype-shuffled expectation at panel-match odds ratio 2)Pearson (with mean carrier plasma protein z-score; more negative is better)Spearman (deep intronic variants (500 bp or more from the nearest exon); essential splice variants excluded)Spearman (near intronic variants (under 500 bp from the nearest exon); essential splice variants excluded)Spearman (with multi-cohort raw allele count in high-pLI genes; more negative is better)True 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)EvaluationGTEx v8 fine-mapped sQTL effect size prediction (SpliceAI2 paper, Spearman), GTEx v8 sQTL fine-mapped and null SNVs near junction ends (Jaganathan et al. 2026)0.73 (best in column)0.7 (best in column)0.8 (best in column)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)EvaluationCryptic splice site usage among RNA-seq-confirmed GT/AG-creating SNVs, GTEx (SpliceAI2 paper, Spearman), GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)0.630.66Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0.540.67Not reportedNot reportedNot reported
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)EvaluationOpenSplice MPRA delta PSI prediction for 283,121 single-nucleotide substitutions in 599 exons (SpliceAI2 paper, Spearman), OpenSplice MPRA single-nucleotide substitutions with measured delta PSI (as used by Jaganathan et al. 2026)0.590.620.52Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)EvaluationCryptic splice site activation by rare GT/AG-creating variants in Genomics England blood RNA-seq (SpliceAI2 paper, auPRC), Genomics England rare-disease participants with WGS and blood RNA-seq (Jaganathan et al. 2026)Not reportedNot reportedNot reportedNot reported0.59Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)EvaluationExcess panel-matched rare variants in Genomics England rare-disease probands at panel-match odds ratio 2 (SpliceAI2 paper), Genomics England 100,000 Genomes Project probands with dominant-disorder panels (Jaganathan et al. 2026)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported133Not reportedNot reportedNot reportedNot reportedNot reportedNot reported
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)EvaluationRNA-seq confirmation of SpliceAI2-prioritised rare variants in panel genes, Genomics England rare-disease participants (SpliceAI2 paper), Genomics England rare-disease participants with WGS and blood RNA-seq (Jaganathan et al. 2026)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported1723
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)EvaluationCryptic splice site activation by rare GT/AG-creating SNVs, GTEx WGS and RNA-seq (SpliceAI2 paper, auPRC), GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)Not reportedNot reportedNot reported0.77Not reported0.680.80.79Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)EvaluationGTEx v8 fine-mapped sQTL SNVs against non-prioritised SNVs near junction ends (SpliceAI2 paper, auROC), GTEx v8 sQTL fine-mapped and null SNVs near junction ends (Jaganathan et al. 2026)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0.760.730.8Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)EvaluationDepletion of high-scoring splice-proximal SNVs in gnomAD, TOPMed and UK Biobank, high-pLI genes (SpliceAI2 paper, Spearman), gnomAD, TOPMed and UK Biobank splice-proximal SNV depletion set (Jaganathan et al. 2026)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported-0.122Not reportedNot reported
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)EvaluationCarrier plasma protein levels for rare splice-region variants, UK Biobank (SpliceAI2 paper, Pearson), UK Biobank rare splice-region variants with carrier plasma protein levels (Jaganathan et al. 2026)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported-0.504Not reportedNot reportedNot reportedNot reportedNot reported
All 23 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Cryptic splice site activation by rare GT/AG-creating variants in Genomics England blood RNA-seq (SpliceAI2 paper, auPRC)
Dataset: Genomics England rare-disease participants with WGS and blood RNA-seq (Jaganathan et al. 2026)
0.59 AUPRC (all variants)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on Genomics England GT/AG cryptic splice activation (auPRC, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gel-gtag-detection

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Fig. 4g (page 17), bar label for 'SpliceAI2'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Excess panel-matched rare variants in Genomics England rare-disease probands at panel-match odds ratio 2 (SpliceAI2 paper)
Dataset: Genomics England 100,000 Genomes Project probands with dominant-disorder panels (Jaganathan et al. 2026)
133 Count (excess panel-matched variants over phenotype-shuffled expectation at panel-match odds ratio 2)
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 excess panel-matched variants at odds ratio 2 (Genomics England)

rna-splicing-20261013-spliceai2-protocol-gel-panel-enrichment

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Main 'Contribution to rare genetic disease' paragraph 2: 'At a fixed odds ratio of 2, SpliceAI2 recovered 133 excess variants'
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 ...'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Cryptic splice site activation by rare GT/AG-creating SNVs, GTEx WGS and RNA-seq (SpliceAI2 paper, auPRC)
Dataset: GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)
0.77 AUPRC (all variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx GT/AG (auprc, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-gtag-detection

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx GT/AG (auPRC)', row 'SpliceAI2', column 'All'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Cryptic splice site activation by rare GT/AG-creating SNVs, GTEx WGS and RNA-seq (SpliceAI2 paper, auPRC)
Dataset: GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)
0.68 AUPRC (deep intronic variants (500 bp or more from the nearest exon); essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx GT/AG (auprc, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-gtag-detection

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx GT/AG (auPRC)', row 'SpliceAI2', column 'Deep intronic'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Cryptic splice site activation by rare GT/AG-creating SNVs, GTEx WGS and RNA-seq (SpliceAI2 paper, auPRC)
Dataset: GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)
0.8 AUPRC (exonic variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx GT/AG (auprc, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-gtag-detection

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx GT/AG (auPRC)', row 'SpliceAI2', column 'Exon'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Cryptic splice site activation by rare GT/AG-creating SNVs, GTEx WGS and RNA-seq (SpliceAI2 paper, auPRC)
Dataset: GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)
0.79 AUPRC (near intronic variants (under 500 bp from the nearest exon); essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx GT/AG (auprc, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-gtag-detection

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx GT/AG (auPRC)', row 'SpliceAI2', column 'Near intronic'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Cryptic splice site usage among RNA-seq-confirmed GT/AG-creating SNVs, GTEx (SpliceAI2 paper, Spearman)
Dataset: GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)
0.63 Spearman (all variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx GT/AG (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-gtag-usage

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx GT/AG (ρ)', row 'SpliceAI2', column 'All'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Cryptic splice site usage among RNA-seq-confirmed GT/AG-creating SNVs, GTEx (SpliceAI2 paper, Spearman)
Dataset: GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)
0.54 Spearman (deep intronic variants (500 bp or more from the nearest exon); essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx GT/AG (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-gtag-usage

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx GT/AG (ρ)', row 'SpliceAI2', column 'Deep intronic'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Cryptic splice site usage among RNA-seq-confirmed GT/AG-creating SNVs, GTEx (SpliceAI2 paper, Spearman)
Dataset: GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)
0.66 Spearman (exonic variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx GT/AG (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-gtag-usage

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx GT/AG (ρ)', row 'SpliceAI2', column 'Exon'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Cryptic splice site usage among RNA-seq-confirmed GT/AG-creating SNVs, GTEx (SpliceAI2 paper, Spearman)
Dataset: GTEx rare GT/AG-creating SNVs with RNA-seq cryptic splicing labels (Jaganathan et al. 2026)
0.67 Spearman (near intronic variants (under 500 bp from the nearest exon); essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx GT/AG (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-gtag-usage

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx GT/AG (ρ)', row 'SpliceAI2', column 'Near intronic'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: GTEx v8 fine-mapped sQTL SNVs against non-prioritised SNVs near junction ends (SpliceAI2 paper, auROC)
Dataset: GTEx v8 sQTL fine-mapped and null SNVs near junction ends (Jaganathan et al. 2026)
0.76 AUROC (all variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx sQTL (auroc, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-sqtl-classification

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx sQTL (auROC)', row 'SpliceAI2', column 'All'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: GTEx v8 fine-mapped sQTL SNVs against non-prioritised SNVs near junction ends (SpliceAI2 paper, auROC)
Dataset: GTEx v8 sQTL fine-mapped and null SNVs near junction ends (Jaganathan et al. 2026)
0.73 AUROC (exonic variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx sQTL (auroc, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-sqtl-classification

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx sQTL (auROC)', row 'SpliceAI2', column 'Exon'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: GTEx v8 fine-mapped sQTL SNVs against non-prioritised SNVs near junction ends (SpliceAI2 paper, auROC)
Dataset: GTEx v8 sQTL fine-mapped and null SNVs near junction ends (Jaganathan et al. 2026)
0.8 AUROC (intronic variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx sQTL (auroc, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-sqtl-classification

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx sQTL (auROC)', row 'SpliceAI2', column 'Intron'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: GTEx v8 fine-mapped sQTL effect size prediction (SpliceAI2 paper, Spearman)
Dataset: GTEx v8 sQTL fine-mapped and null SNVs near junction ends (Jaganathan et al. 2026)
0.73 Spearman (all variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx sQTL (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-sqtl-effect-size

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx sQTL (ρ)', row 'SpliceAI2', column 'All'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: GTEx v8 fine-mapped sQTL effect size prediction (SpliceAI2 paper, Spearman)
Dataset: GTEx v8 sQTL fine-mapped and null SNVs near junction ends (Jaganathan et al. 2026)
0.7 Spearman (exonic variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx sQTL (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-sqtl-effect-size

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx sQTL (ρ)', row 'SpliceAI2', column 'Exon'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: GTEx v8 fine-mapped sQTL effect size prediction (SpliceAI2 paper, Spearman)
Dataset: GTEx v8 sQTL fine-mapped and null SNVs near junction ends (Jaganathan et al. 2026)
0.8 Spearman (intronic variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on GTEx sQTL (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-gtex-sqtl-effect-size

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'GTEx sQTL (ρ)', row 'SpliceAI2', column 'Intron'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: OpenSplice MPRA delta PSI prediction for 283,121 single-nucleotide substitutions in 599 exons (SpliceAI2 paper, Spearman)
Dataset: OpenSplice MPRA single-nucleotide substitutions with measured delta PSI (as used by Jaganathan et al. 2026)
0.59 Spearman (all variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on OpenSplice MPRA (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-opensplice-mpra

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'OpenSplice MPRA (ρ)', row 'SpliceAI2', column 'All'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: OpenSplice MPRA delta PSI prediction for 283,121 single-nucleotide substitutions in 599 exons (SpliceAI2 paper, Spearman)
Dataset: OpenSplice MPRA single-nucleotide substitutions with measured delta PSI (as used by Jaganathan et al. 2026)
0.62 Spearman (exonic variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on OpenSplice MPRA (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-opensplice-mpra

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'OpenSplice MPRA (ρ)', row 'SpliceAI2', column 'Exon'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: OpenSplice MPRA delta PSI prediction for 283,121 single-nucleotide substitutions in 599 exons (SpliceAI2 paper, Spearman)
Dataset: OpenSplice MPRA single-nucleotide substitutions with measured delta PSI (as used by Jaganathan et al. 2026)
0.52 Spearman (intronic variants; essential splice variants excluded)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on OpenSplice MPRA (spearman-correlation, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-opensplice-mpra

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Extended Data Fig. 2 (page 52), panel 'OpenSplice MPRA (ρ)', row 'SpliceAI2', column 'Intron'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Depletion of high-scoring splice-proximal SNVs in gnomAD, TOPMed and UK Biobank, high-pLI genes (SpliceAI2 paper, Spearman)
Dataset: gnomAD, TOPMed and UK Biobank splice-proximal SNV depletion set (Jaganathan et al. 2026)
-0.122 Spearman (with multi-cohort raw allele count in high-pLI genes; more negative is better)
unitless · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on splice-proximal SNV depletion in high-pLI genes (Spearman, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-population-constraint

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Fig. 3c (page 15), bar label for 'SpliceAI2'
Configuration: SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026)Protocol: Carrier plasma protein levels for rare splice-region variants, UK Biobank (SpliceAI2 paper, Pearson)
Dataset: UK Biobank rare splice-region variants with carrier plasma protein levels (Jaganathan et al. 2026)
-0.504 Pearson (with mean carrier plasma protein z-score; more negative is better)
unitless · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

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

SpliceAI2 on UK Biobank carrier protein levels (Pearson, SpliceAI2 paper)

rna-splicing-20261013-spliceai2-protocol-ukb-proteomics

Aggregation: Not reported

A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) · Fig. 3f (page 15), bar label for 'SpliceAI2'

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

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Technical metadata and extraction receipts

Stable ID: rna-splicing-20261013-spliceai2-config-spliceai2-ensemble

areas
dna-genomes
contexts
research
method types
supervised_machine_learning
foundation model eligible
false
reported name
SpliceAI2
version
Two models trained with identical settings and averaged (bioRxiv v1 Methods); code release v2.0
parameters
196,608 bp sense-strand input with species one-hot; about 13 million trainable parameters per model; donor, acceptor and junction usage; shared candidate splice sites for both alleles and both models; summary score is the maximum of donor gain, donor loss, acceptor gain and acceptor loss deltas
training overlap
Trained on all human genes except those on chromosomes 21 and 22 (held out for validation). The variant benchmarks are genome-wide, so most benchmark variants lie in genes seen in training. Supplementary Table 1 lists GTEx among the recount3 human training sources; the paper does not say whether junctions observed in the GTEx benchmark samples were removed from training.
access reuse
Code at Illumina/SpliceAI2 under the SpliceAI2 Model Terms of Use (non-commercial organisations only; research use only). Weights on Hugging Face illumina-ai/SpliceAI2, gated.
code commit
1dcd2a1882a8223095e7529982ae70bcb658340a
source locator
Methods 'SpliceAI2 model' (Training, Variant effect prediction); README; LICENSE
missing metadata
checkpoint: reason: unreported; note: The paper does not say whether the evaluated ensemble is the released Hugging Face checkpoints (spliceai2_multispecies_13M_01 and _02).
provenance note
SpliceAI2 two-model multispecies ensemble (Jaganathan et al. 2026), as evaluated in the SpliceAI2 paper.
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