| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Illumina (Hall and Coin 2024 Table 8) Dataset: Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) | 2 peak-memory gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 8, row 'minimap2 MTB', column 'Memory (GB)†' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Illumina (Hall and Coin 2024 Table 8) Dataset: Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) | 82,194 inference-throughput sample-per-second · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 8, row 'minimap2 MTB', column 'Rate (reads/s)*' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Illumina (Hall and Coin 2024 Table 8) Dataset: Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) | 0.942 recall fraction · higher Uncertainty: 95% CI 0.9415 to 0.9417. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 8, row 'minimap2 MTB', column 'Sensitivity (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Illumina (Hall and Coin 2024 Table 8) Dataset: Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) | 0.988 specificity fraction · higher Uncertainty: 95% CI 0.9883 to 0.9884. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 8, row 'minimap2 MTB', column 'Specificity (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Illumina (Hall and Coin 2024 Table 8) Dataset: Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) | 0.93 youden-index fraction · higher Uncertainty: 95% CI 0.9298 to 0.9301. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 8, row 'minimap2 MTB', column 'Youden’s index (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Nanopore (Hall and Coin 2024 Table 6) Dataset: Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) | 2.5 peak-memory gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 6, row 'minimap2 MTB', column 'Memory (GB)†' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Nanopore (Hall and Coin 2024 Table 6) Dataset: Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) | 1,892 inference-throughput sample-per-second · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 6, row 'minimap2 MTB', column 'Rate (reads/s)*' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Nanopore (Hall and Coin 2024 Table 6) Dataset: Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) | 0.945 recall fraction · higher Uncertainty: 95% CI 0.9436 to 0.9464. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 6, row 'minimap2 MTB', column 'Sensitivity (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Nanopore (Hall and Coin 2024 Table 6) Dataset: Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) | 0.982 specificity fraction · higher Uncertainty: 95% CI 0.9816 to 0.9821. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 6, row 'minimap2 MTB', column 'Specificity (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, real Nanopore (Hall and Coin 2024 Table 6) Dataset: Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) | 0.927 youden-index fraction · higher Uncertainty: 95% CI 0.9252 to 0.9285. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Artificial real Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-real-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 6, row 'minimap2 MTB', column 'Youden’s index (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Illumina (Hall and Coin 2024 Table 7) Dataset: Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) | 0.7 peak-memory gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 7, row 'minimap2 MTB', column 'Memory (GB)†' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Illumina (Hall and Coin 2024 Table 7) Dataset: Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) | 91,734 inference-throughput sample-per-second · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 7, row 'minimap2 MTB', column 'Rate (reads/s)*' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Illumina (Hall and Coin 2024 Table 7) Dataset: Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) | 0.948 recall fraction · higher Uncertainty: 95% CI 0.9467 to 0.9482. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 7, row 'minimap2 MTB', column 'Sensitivity (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Illumina (Hall and Coin 2024 Table 7) Dataset: Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) | 0.999 specificity fraction · higher Uncertainty: 95% CI 0.999 to 0.9991. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 7, row 'minimap2 MTB', column 'Specificity (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Illumina (Hall and Coin 2024 Table 7) Dataset: Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) | 0.947 youden-index fraction · higher Uncertainty: 95% CI 0.9457 to 0.9473. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Illumina metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-illumina Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 7, row 'minimap2 MTB', column 'Youden’s index (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Nanopore (Hall and Coin 2024 Table 5) Dataset: Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) | 2 peak-memory gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 5, row 'minimap2 MTB', column 'Memory (GB)†' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Nanopore (Hall and Coin 2024 Table 5) Dataset: Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) | 418 inference-throughput sample-per-second · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 5, row 'minimap2 MTB', column 'Rate (reads/s)*' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Nanopore (Hall and Coin 2024 Table 5) Dataset: Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) | 0.97 recall fraction · higher Uncertainty: 95% CI 0.969 to 0.9717. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 5, row 'minimap2 MTB', column 'Sensitivity (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Nanopore (Hall and Coin 2024 Table 5) Dataset: Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) | 0.974 specificity fraction · higher Uncertainty: 95% CI 0.9715 to 0.9753. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 5, row 'minimap2 MTB', column 'Specificity (95% CI)' |
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| Configuration: minimap2 MTB (Hall and Coin 2024) | Protocol: M. tuberculosis read classification, simulated Nanopore (Hall and Coin 2024 Table 5) Dataset: Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) | 0.944 youden-index fraction · higher Uncertainty: 95% CI 0.9405 to 0.9469. Wilson score interval (table footnote) Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceminimap2 MTB on Simulated sputum-like Nanopore metagenome, non-human reads (Hall and Coin 2024) dna-pathogen-20261009-protocol-hall2024-mtb-reads-sim-nanopore Aggregation: Not reported Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data · Table 5, row 'minimap2 MTB', column 'Youden’s index (95% CI)' |
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