rewirebio.iobenchmarks
Configuration

BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)

BLAST 2.12.0 blastn, top hit, a configuration of BLAST (BLASTn): Custom nucleotide database from the training FASTA; task blastn; max_target_seqs = 1; label of the top hit.

3 evaluations · 14 results

Overview

An explanatory profile has not yet been reviewed for this record.

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

Evaluations and results

3 evaluations · 14 results. Different protocols are not a single leaderboard.

Sorted by Accuracy (16-class long-sequence RVDB dataset) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configurationProtocol and datasetAccuracy (16-class long-sequence RVDB dataset)Accuracy (33-class RVDB dataset)Accuracy (40-class RVDB dataset)Balanced accuracy (16-class long-sequence RVDB dataset)Macro F1 (16-class long-sequence RVDB dataset)Macro F1 (33-class RVDB dataset)Macro F1 (40-class RVDB dataset)MCC (16-class long-sequence RVDB dataset)Precision (16-class long-sequence RVDB dataset, macro-averaged over classes)Precision (33-class RVDB dataset, macro-averaged over classes)Precision (40-class RVDB dataset, macro-averaged over classes)Recall (16-class long-sequence RVDB dataset, macro-averaged over classes)Recall (33-class RVDB dataset, macro-averaged over classes)Recall (40-class RVDB dataset, macro-averaged over classes)
BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)EvaluationRVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10), RVDB C-RVDB v31.0 long-sequence dataset, 16 classes0.977Not reportedNot reported0.9770.977Not reportedNot reported0.9750.978Not reportedNot reported0.977Not reportedNot reported
BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)EvaluationRVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7), RVDB C-RVDB v31.0 primary dataset, 33 refined classesNot reported0.968Not reportedNot reportedNot reported0.938Not reportedNot reportedNot reported0.94Not reportedNot reported0.939Not reported
BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)EvaluationRVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7), RVDB C-RVDB v31.0 primary dataset, 40 sampled classesNot reportedNot reported0.912Not reportedNot reportedNot reported0.889Not reportedNot reportedNot reported0.892Not reportedNot reported0.89
All 14 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10)
Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes
0.977 Accuracy (16-class long-sequence RVDB dataset)
fraction · higher

Uncertainty: 95% CI 0.950 to 0.989. Wilson binomial interval quoted in Section 3.8; method stated in Section 2.9

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BLAST (blastn) on the RVDB long-sequence dataset, 16 classes

gfm2-20261011-buzkova2026-protocol-long

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'Accuracy'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10)
Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes
0.977 Balanced accuracy (16-class long-sequence RVDB dataset)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BLAST (blastn) on the RVDB long-sequence dataset, 16 classes

gfm2-20261011-buzkova2026-protocol-long

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'Bal. Acc.'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10)
Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes
0.977 Macro F1 (16-class long-sequence RVDB dataset)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BLAST (blastn) on the RVDB long-sequence dataset, 16 classes

gfm2-20261011-buzkova2026-protocol-long

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'F1'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10)
Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes
0.975 MCC (16-class long-sequence RVDB dataset)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BLAST (blastn) on the RVDB long-sequence dataset, 16 classes

gfm2-20261011-buzkova2026-protocol-long

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'MCC'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10)
Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes
0.978 Precision (16-class long-sequence RVDB dataset, macro-averaged over classes)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BLAST (blastn) on the RVDB long-sequence dataset, 16 classes

gfm2-20261011-buzkova2026-protocol-long

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'Precision'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB long-sequence viral classification, 16 classes (Bůžková et al. 2026 Table 10)
Dataset: RVDB C-RVDB v31.0 long-sequence dataset, 16 classes
0.977 Recall (16-class long-sequence RVDB dataset, macro-averaged over classes)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

BLAST (blastn) on the RVDB long-sequence dataset, 16 classes

gfm2-20261011-buzkova2026-protocol-long

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 10, row 'BLAST (blastn)', column 'Recall'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7)
Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes
0.968 Accuracy (33-class RVDB dataset)
fraction · higher

Uncertainty: 95% CI 0.962 to 0.972. Wilson binomial interval quoted in Section 3.6, paragraph 1; method stated in Section 2.9

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

blastn on the RVDB 33-class dataset (BLAST comparison)

gfm2-20261011-buzkova2026-protocol-blast-compare

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 7, row '33 classes / blastn', column 'Accuracy'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7)
Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes
0.938 Macro F1 (33-class RVDB dataset)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

blastn on the RVDB 33-class dataset (BLAST comparison)

gfm2-20261011-buzkova2026-protocol-blast-compare

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 7, row '33 classes / blastn', column 'F1'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7)
Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes
0.94 Precision (33-class RVDB dataset, macro-averaged over classes)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

blastn on the RVDB 33-class dataset (BLAST comparison)

gfm2-20261011-buzkova2026-protocol-blast-compare

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 7, row '33 classes / blastn', column 'Precision'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7)
Dataset: RVDB C-RVDB v31.0 primary dataset, 33 refined classes
0.939 Recall (33-class RVDB dataset, macro-averaged over classes)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

blastn on the RVDB 33-class dataset (BLAST comparison)

gfm2-20261011-buzkova2026-protocol-blast-compare

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 7, row '33 classes / blastn', column 'Recall'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7)
Dataset: RVDB C-RVDB v31.0 primary dataset, 40 sampled classes
0.912 Accuracy (40-class RVDB dataset)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

blastn on the RVDB 40-class dataset (BLAST comparison)

gfm2-20261011-buzkova2026-protocol-blast-compare

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 7, row '40 classes / blastn', column 'Accuracy'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7)
Dataset: RVDB C-RVDB v31.0 primary dataset, 40 sampled classes
0.889 Macro F1 (40-class RVDB dataset)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

blastn on the RVDB 40-class dataset (BLAST comparison)

gfm2-20261011-buzkova2026-protocol-blast-compare

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 7, row '40 classes / blastn', column 'F1'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7)
Dataset: RVDB C-RVDB v31.0 primary dataset, 40 sampled classes
0.892 Precision (40-class RVDB dataset, macro-averaged over classes)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

blastn on the RVDB 40-class dataset (BLAST comparison)

gfm2-20261011-buzkova2026-protocol-blast-compare

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 7, row '40 classes / blastn', column 'Precision'
Configuration: BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026)Protocol: RVDB viral classification: best frozen-embedding configuration against BLAST (Bůžková et al. 2026 Table 7)
Dataset: RVDB C-RVDB v31.0 primary dataset, 40 sampled classes
0.89 Recall (40-class RVDB dataset, macro-averaged over classes)
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

blastn on the RVDB 40-class dataset (BLAST comparison)

gfm2-20261011-buzkova2026-protocol-blast-compare

Aggregation: Not reported

Analyzing Genomic Foundation Models for Viral Sequence Identification · Table 7, row '40 classes / blastn', column 'Recall'

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

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Technical metadata and extraction receipts

Stable ID: gfm2-20261011-buzkova2026-config-blastn

areas
dna-genomes
contexts
research
method types
conventional_pipeline
reported name
blastn
foundation model eligible
false
source locator
Section 2.8; Tables 7, 8 and 10
parameters
Custom nucleotide database from the training FASTA; task blastn; max_target_seqs = 1; label of the top hit
version
BLAST 2.12.0
provenance note
BLAST 2.12.0 blastn, top hit (Bůžková et al. 2026), as evaluated in the cited comparison.
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