Configuration

Genomon v2.6.3 (Tamura et al. 2026)

Genomon as run in the cited comparison.

Overview

Genomon 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: Genomon v2.6.3 (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)	0.31 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, 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 'Genomon', column 'F1' (PDF page text)
Configuration: Genomon v2.6.3 (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)	1,044 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, 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 'Genomon', column 'False negative' (PDF page text)
Configuration: Genomon v2.6.3 (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)	1,932 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, 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 'Genomon', column 'False positive' (PDF page text)
Configuration: Genomon v2.6.3 (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)	0.26 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, 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 'Genomon', column 'Positive predictive value' (PDF page text)
Configuration: Genomon v2.6.3 (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)	0.4 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, 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 'Genomon', column 'True positive rate' (PDF page text)
Configuration: Genomon v2.6.3 (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)	683 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, 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 'Genomon', 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: Genomon v2.6.3 (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)	0.9 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, 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 'Genomon', column 'F1' (PDF page text)
Configuration: Genomon v2.6.3 (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)	11 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, 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 'Genomon', column 'False negative' (PDF page text)
Configuration: Genomon v2.6.3 (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 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, 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 'Genomon', column 'False positive' (PDF page text)
Configuration: Genomon v2.6.3 (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 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, 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 'Genomon', column 'Positive predictive value' (PDF page text)
Configuration: Genomon v2.6.3 (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)	0.82 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, 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 'Genomon', column 'True positive rate' (PDF page text)
Configuration: Genomon v2.6.3 (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)	50 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, 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 'Genomon', 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)

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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-config-tamura2026-genomon

areas: rna-transcriptomes
contexts: clinical_research
method types: conventional_pipeline
reported name: Genomon
version: v2.6.3
foundation model eligible: false
protocol: Default parameters; alignment method STAR; aligner STAR v2.5.2a; GRCh38; filtered output used where available
source locator: Supplementary Table 1; Methods 'Detection of gene fusions by each algorithm'

Related records

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

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