Protocol

Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5)

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

Overview

Per-algorithm TP, FP, FN, TPR, PPV and F1 for driver 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: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	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 Arriba on driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'F1' (PDF page text)
Configuration: Arriba v2.1.0 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'False negative' (PDF page text)
Configuration: Arriba v2.1.0 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'False positive' (PDF page text)
Configuration: Arriba v2.1.0 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	1 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, '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: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	1 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, '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: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	24 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'Arriba', column 'True positive' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.91 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'F1' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	4 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'False negative' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'False positive' (PDF page text)
Configuration: EricScript v0.5.5 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	1 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, '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: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.83 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, '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: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	20 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'EricScript', column 'True positive' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.92 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'F1' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	1 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'False negative' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	3 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'False positive' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.88 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'Positive predictive value' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.96 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'True positive rate' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	23 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'FusionCatcher', column 'True positive' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.93 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'F1' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	3 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'False negative' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'False positive' (PDF page text)
Configuration: Genomon v2.6.3 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	1 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, '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: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.88 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, '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: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	21 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'Genomon', column 'True positive' (PDF page text)
Configuration: InFusion v0.8 (Tamura et al. 2026)	Protocol: Driver fusions, targeted RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: Haematologic cancer cell lines, hybridisation-capture targeted RNA-seq (26 cell lines)	0.29 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 driver fusions, targeted RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-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 5, 'Targeted RNA-seq of cell lines', row 'InFusion', column 'F1' (PDF page text)

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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-driver-targeted

areas: rna-transcriptomes
contexts: clinical_research
protocol: Truth: 24 driver fusion-cell line pairs from a curated list of 202 haematologic driver fusions, each reported in the literature or confirmed by RT-PCR and Sanger sequencing; false positives: listed driver fusions detected by one algorithm only. Default or recommended parameters, GRCh38.
version: Supplementary Table 5, '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.; Circular truth selection: a driver pair entered the truth set only if four or more of the 12 algorithms detected it, counting the algorithm being scored, and it was reported in the literature; 2 pairs from the conventional analysis were added (Methods 'Comparison of detection algorithms'). Driver fusions that most callers miss are therefore under-represented, so TPR may overstate sensitivity.; False positives are listed driver fusions detected by one algorithm only; listed driver calls by two or three algorithms that are not in the truth set count as neither TP nor FP, so the driver PPV understates review burden.; Truth: 24 driver fusion-cell line pairs (17 unique fusions); with 24 pairs, one fusion moves TPR by about 0.04.; Targeted assay is the authors' own hybridisation-capture panel (44 fusion-target genes and 134 known fusion junctions).; 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 5, sub-table 'Targeted RNA-seq of cell lines'; Methods 'Comparison of detection algorithms'
denominator: 24

Related records

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

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