Configuration

FusionCatcher v1.33 (Tamura et al. 2026)

FusionCatcher as run in the cited comparison.

Overview

FusionCatcher as run in the cited comparison.

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

Evaluations and results

4 evaluations · 24 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, conventional RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	0.08 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-conventional 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, 'Conventional RNA-seq of cell lines', row 'FusionCatcher', column 'F1' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, conventional RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	295 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-conventional 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, 'Conventional RNA-seq of cell lines', row 'FusionCatcher', column 'False negative' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, conventional RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	22,445 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-conventional 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, 'Conventional RNA-seq of cell lines', row 'FusionCatcher', column 'False positive' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: All fusions, conventional RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	0.04 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-conventional 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, 'Conventional 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, conventional RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	0.77 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-conventional 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, 'Conventional 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, conventional RNA-seq of haematologic cell lines, consensus truth (Tamura et al. 2026 Supplementary Table 3) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	971 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-all-conventional 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, 'Conventional RNA-seq of cell lines', row 'FusionCatcher', 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: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, conventional RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	0.98 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-conventional 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, 'Conventional RNA-seq of cell lines', row 'FusionCatcher', column 'F1' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, conventional RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-conventional 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, 'Conventional RNA-seq of cell lines', row 'FusionCatcher', column 'False negative' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, conventional RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	2 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-conventional 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, 'Conventional RNA-seq of cell lines', row 'FusionCatcher', column 'False positive' (PDF page text)
Configuration: FusionCatcher v1.33 (Tamura et al. 2026)	Protocol: Driver fusions, conventional RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	0.97 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-conventional 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, 'Conventional 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, conventional RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	0.98 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-conventional 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, 'Conventional 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, conventional RNA-seq of haematologic cell lines, validated truth (Tamura et al. 2026 Supplementary Table 5) Dataset: CCLE haematologic malignancy cell lines, conventional RNA-seq (170 cell lines)	60 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, conventional RNA-seq (Tamura et al. 2026) rna-fusion-20261009-protocol-tamura2026-driver-conventional 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, 'Conventional RNA-seq of cell lines', row 'FusionCatcher', 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)

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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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Stable ID: rna-fusion-20261009-config-tamura2026-fusioncatcher

areas: rna-transcriptomes
contexts: clinical_research
method types: conventional_pipeline
reported name: FusionCatcher
version: v1.33
foundation model eligible: false
protocol: Default parameters; alignment method Multiple; aligner STAR v2.7.2b, Bowtie v1.2.3, BLAT v37x1; GRCh38; filtered output used where available
source locator: Supplementary Table 1; Methods 'Detection of gene fusions by each algorithm'

Related records

configuration of: FusionCatcher
system: FusionCatcher on all fusions, conventional RNA-seq (Tamura et al. 2026)
system: FusionCatcher on all fusions, targeted RNA-seq (Tamura et al. 2026)
system: FusionCatcher on driver fusions, conventional RNA-seq (Tamura et al. 2026)
system: FusionCatcher on driver fusions, targeted RNA-seq (Tamura et al. 2026)

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