Protocol

All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3)

Per-algorithm TP, FP, FN, TPR, PPV and F1 for all fusions on targeted RNA-seq.

Overview

Per-algorithm TP, FP, FN, TPR, PPV and F1 for all fusions on targeted RNA-seq.

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

12 recorded evaluations, 72 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

12 evaluations · 72 results. Different protocols are not a single leaderboard.

Filter evaluations

Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: Arriba v2.1.0 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.3 f1-score fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Arriba on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'F1' (PDF page text)
Configuration: Arriba v2.1.0 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	195 false-negative-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Arriba on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'False negative' (PDF page text)
Configuration: Arriba v2.1.0 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	64 false-positive-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Arriba on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'False positive' (PDF page text)
Configuration: Arriba v2.1.0 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.47 precision fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Arriba on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'Positive predictive value' (PDF page text)
Configuration: Arriba v2.1.0 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.22 recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Arriba on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'True positive rate' (PDF page text)
Configuration: Arriba v2.1.0 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	56 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Arriba on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'True positive' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.23 f1-score fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EricScript on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'F1' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	123 false-negative-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EricScript on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'False negative' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	422 false-positive-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EricScript on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'False positive' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.16 precision fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EricScript on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'Positive predictive value' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.39 recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EricScript on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'True positive rate' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	80 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source EricScript on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'True positive' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.1 f1-score fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FusionCatcher on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'F1' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	46 false-negative-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FusionCatcher on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'False negative' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	1,763 false-positive-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FusionCatcher on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'False positive' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.05 precision fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FusionCatcher on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'Positive predictive value' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.68 recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FusionCatcher on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'True positive rate' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	100 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source FusionCatcher on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'True positive' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.28 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 Genomon on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'F1' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	193 false-negative-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Genomon on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'False negative' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	49 false-positive-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Genomon on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'False positive' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.49 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 Genomon on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'Positive predictive value' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.2 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 Genomon on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'True positive rate' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	47 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source Genomon on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'True positive' (PDF page text)
Configuration: InFusion v0.8 (Tamura et al. 2026)	Protocol: All fusions, targeted RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.23 f1-score fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source InFusion on all fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-targeted Aggregation: Not reported Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies; Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Supplementary Table 3, 'Targeted RNA-seq of cell lines', row 'InFusion', column 'F1' (PDF page text)

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Author-reported evaluations: 1
External evaluations: 11

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Comparison of gene fusion detection algorithms reveals frequently overlooked driver fusions in hematologic malignancies · Original source · NPJ Precision Oncology 10:199, published 2026-04-04; PMC13230599 full-text XML
Tamura et al. 2026, Supplementary Information (Supplementary Tables 1-12) · Original source · 41698_2026_1397_MOESM1_ESM.pdf as served by the publisher

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Technical metadata and extraction receipts

Stable ID: rna-fusion-20261009-protocol-tamura2026-all-targeted

areas: rna-transcriptomes
contexts: clinical_research
protocol: Truth: fusion-cell line pairs detected by at least four algorithms other than the one evaluated (TrinityFusion modes count as one vote); false positives: fusions detected by that algorithm alone; TPR, PPV and F1 by standard formulas. Default or recommended parameters, GRCh38.
version: Supplementary Table 3, 'Targeted RNA-seq of cell lines'
metric: recall
limitations: Haematologic cancer cell lines only (170 for conventional, 26 for targeted RNA-seq); no solid tumours, FFPE tissue or clinical specimens. Per-caller results on 165 clinical samples are only in a figure.; Truth is consensus: fusion-cell line pairs detected by at least four algorithms other than the one scored (TrinityFusion modes count as one vote), without orthogonal validation except for driver pairs, so it favours callers that agree with the majority.; False positives are fusions detected by that algorithm alone; fusions called by two or three algorithms count as neither TP nor FP. PPV is therefore not precision against a validated truth, and single-caller calls may include real fusions.; Truth-set size differs by algorithm (printed per row and stored as the evaluation denominator).; Genomon rows are author_reported: a co-author is first author of the Genomon fusion paper; the other 11 algorithms were developed elsewhere.; Default or recommended parameters only; the authors show that parameter changes recover some missed driver fusions (Results).
source locator: Supplementary Table 3, sub-table 'Targeted RNA-seq of cell lines'; Methods 'Comparison of detection algorithms'

Related records

uses data: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)
assessment: Arriba on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: EricScript on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: FusionCatcher on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: Genomon on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: InFusion on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: JAFFA-direct on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: Pizzly on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: STAR-Fusion on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: STARChip on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: TrinityFusion-C on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: TrinityFusion-D on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessment: TrinityFusion-UC on all fusions, targeted RNA-seq (Tamura et al. 2026)
assessed by: Select a tumour RNA fusion-detection workflow

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