rewirebio.iobenchmarks
Configuration

rMATS (Silverstein et al. 2026)

rMATS: version v4.1.2; Each patient against ten GTEx tissue-matched controls; --novelSS --allow-clipping; -mel 700; FDR 5%; all five MATS event files assessed.

1 evaluation · 9 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

1 evaluation · 9 results. Different protocols are not a single leaderboard.

Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools) · Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)

Sorted by Accuracy (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9)) (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 configurationAccuracy (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))F1 (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))False negatives (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))False positives (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))MCC (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))Precision (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))Recall (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))True negatives (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))True positives (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
rMATS (Silverstein et al. 2026)Evaluation0.4690.63889-0.3610.6250.652015
All 9 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: rMATS (Silverstein et al. 2026)Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools)
Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)
0.469 Accuracy (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

rMATS on the NIH neuromuscular diagnosed RNA-seq truth set (splicing)

rna-splicing-20261011-silverstein2026-protocol-splicing

Aggregation: Not reported

Benchmarking RNA-seq Tools for Real-World Diagnostic Applications (Silverstein et al., medRxiv 2026); Silverstein et al. 2026 Supplemental Tables S1-S10 (medRxiv media-3.xlsx) · Table S9 (sheet 'Table S9') cell F2, row 'rMATS', column 'Accuracy'
Configuration: rMATS (Silverstein et al. 2026)Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools)
Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)
0.638 F1 (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

rMATS on the NIH neuromuscular diagnosed RNA-seq truth set (splicing)

rna-splicing-20261011-silverstein2026-protocol-splicing

Aggregation: Not reported

Benchmarking RNA-seq Tools for Real-World Diagnostic Applications (Silverstein et al., medRxiv 2026); Silverstein et al. 2026 Supplemental Tables S1-S10 (medRxiv media-3.xlsx) · Table S9 (sheet 'Table S9') cell I2, row 'rMATS', column 'F1'
Configuration: rMATS (Silverstein et al. 2026)Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools)
Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)
8 False negatives (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

rMATS on the NIH neuromuscular diagnosed RNA-seq truth set (splicing)

rna-splicing-20261011-silverstein2026-protocol-splicing

Aggregation: Not reported

Benchmarking RNA-seq Tools for Real-World Diagnostic Applications (Silverstein et al., medRxiv 2026); Silverstein et al. 2026 Supplemental Tables S1-S10 (medRxiv media-3.xlsx) · Table S9 (sheet 'Table S9') cell C2, row 'rMATS', column 'False Negatives'
Configuration: rMATS (Silverstein et al. 2026)Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools)
Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)
9 False positives (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

rMATS on the NIH neuromuscular diagnosed RNA-seq truth set (splicing)

rna-splicing-20261011-silverstein2026-protocol-splicing

Aggregation: Not reported

Benchmarking RNA-seq Tools for Real-World Diagnostic Applications (Silverstein et al., medRxiv 2026); Silverstein et al. 2026 Supplemental Tables S1-S10 (medRxiv media-3.xlsx) · Table S9 (sheet 'Table S9') cell E2, row 'rMATS', column 'False Positives'
Configuration: rMATS (Silverstein et al. 2026)Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools)
Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)
-0.361 MCC (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

rMATS on the NIH neuromuscular diagnosed RNA-seq truth set (splicing)

rna-splicing-20261011-silverstein2026-protocol-splicing

Aggregation: Not reported

Benchmarking RNA-seq Tools for Real-World Diagnostic Applications (Silverstein et al., medRxiv 2026); Silverstein et al. 2026 Supplemental Tables S1-S10 (medRxiv media-3.xlsx) · Table S9 (sheet 'Table S9') cell J2, row 'rMATS', column 'MCC'
Configuration: rMATS (Silverstein et al. 2026)Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools)
Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)
0.625 Precision (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

rMATS on the NIH neuromuscular diagnosed RNA-seq truth set (splicing)

rna-splicing-20261011-silverstein2026-protocol-splicing

Aggregation: Not reported

Benchmarking RNA-seq Tools for Real-World Diagnostic Applications (Silverstein et al., medRxiv 2026); Silverstein et al. 2026 Supplemental Tables S1-S10 (medRxiv media-3.xlsx) · Table S9 (sheet 'Table S9') cell G2, row 'rMATS', column 'Precision'
Configuration: rMATS (Silverstein et al. 2026)Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools)
Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)
0.652 Recall (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

rMATS on the NIH neuromuscular diagnosed RNA-seq truth set (splicing)

rna-splicing-20261011-silverstein2026-protocol-splicing

Aggregation: Not reported

Benchmarking RNA-seq Tools for Real-World Diagnostic Applications (Silverstein et al., medRxiv 2026); Silverstein et al. 2026 Supplemental Tables S1-S10 (medRxiv media-3.xlsx) · Table S9 (sheet 'Table S9') cell H2, row 'rMATS', column 'Recall'
Configuration: rMATS (Silverstein et al. 2026)Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools)
Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)
0 True negatives (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
count · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

rMATS on the NIH neuromuscular diagnosed RNA-seq truth set (splicing)

rna-splicing-20261011-silverstein2026-protocol-splicing

Aggregation: Not reported

Benchmarking RNA-seq Tools for Real-World Diagnostic Applications (Silverstein et al., medRxiv 2026); Silverstein et al. 2026 Supplemental Tables S1-S10 (medRxiv media-3.xlsx) · Table S9 (sheet 'Table S9') cell D2, row 'rMATS', column 'True Negatives'
Configuration: rMATS (Silverstein et al. 2026)Protocol: Recovery of known pathogenic splicing events and outlier calls in true-negative samples, patient RNA-seq (Silverstein et al. Table S9, splicing tools)
Dataset: NIH neuromuscular diagnosed RNA-seq truth set (Silverstein et al. 2026)
15 True positives (positives per known event or gene, negatives per true-negative sample; aggregated across the tissue sets each tool was run on (Table S9))
count · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

rMATS on the NIH neuromuscular diagnosed RNA-seq truth set (splicing)

rna-splicing-20261011-silverstein2026-protocol-splicing

Aggregation: Not reported

Benchmarking RNA-seq Tools for Real-World Diagnostic Applications (Silverstein et al., medRxiv 2026); Silverstein et al. 2026 Supplemental Tables S1-S10 (medRxiv media-3.xlsx) · Table S9 (sheet 'Table S9') cell B2, row 'rMATS', column 'True Positives'

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

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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-20261011-silverstein2026-config-rmats

areas
rna-transcriptomes
contexts
clinical_research
method types
conventional_pipeline
reported name
rMATS
foundation model eligible
false
version
v4.1.2
parameters
Each patient against ten GTEx tissue-matched controls; --novelSS --allow-clipping; -mel 700; FDR 5%; all five MATS event files assessed
access reuse
Open-source tool; run by the authors on the NIH Biowulf cluster
source locator
Methods 'Case vs Control Splice Tools'; Table S9 row label
provenance note
rMATS as run in the Silverstein et al. 2026 benchmark.
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