Dataset

Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)

Evidence concern: excluded from comparisons

Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing'

Shotgun metagenomes from blood of patients with suspected bloodstream infection whose blood cultures grew alpha-haemolytic streptococci, and two negative controls.

Research readiness

These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.

Release 2026-10-09-8cc1db47c7f9 · Evidence verified: Not verified

Evidence incomplete

Replay metrics

Exact outcomes, predictions, identifiers and evaluator are connected.

Missing or unresolved evidence

No verified artifact manifest is linked to this exact record.
artifact hashes: verification is missing
join integrity: verification is missing
score semantics: verification is missing
metric replay: verification is missing

Verified: Not verified

Evidence incomplete

Investigate discrepancies

Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.

Missing or unresolved evidence

No verified artifact manifest is linked to this exact record.
artifact hashes: verification is missing
join integrity: verification is missing
score semantics: verification is missing
metric replay: verification is missing
annotations: verification is missing
dependence: verification is missing

Verified: Not verified

Evidence incomplete

Run locally

A pinned recipe describes the inputs, environment and resource requirements.

Missing or unresolved evidence

No verified artifact manifest is linked to this exact record.
artifact hashes: verification is missing
join integrity: verification is missing
score semantics: verification is missing
recipe pinned: verification is missing
resource estimate: verification is missing

Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

No verified artifact manifest is linked to this exact record.
artifact hashes: verification is missing
join integrity: verification is missing
score semantics: verification is missing
independent validation: verification is missing
overlap checked: verification is missing

Verified: Not verified

Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.

Artifacts and reproduction

No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Read reviewed discrepancy investigations

Evaluation results

4 evaluations · 28 results. Different protocols are not a single leaderboard.

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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: BLAST (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	1.03E‐1 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Blast on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Negative blood', column 'Blast'
Configuration: BLAST (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	2.59E‐1 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Blast on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'No template control', column 'Blast'
Configuration: BLAST (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	1.21E‐1 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Blast on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 1', column 'Blast'
Configuration: BLAST (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	2.87E‐2 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Blast on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 2', column 'Blast'
Configuration: BLAST (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	6.49E‐1 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Blast on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 3', column 'Blast'
Configuration: BLAST (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	4.39E‐2 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Blast on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 4', column 'Blast'
Configuration: BLAST (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	2.39E‐2 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Blast on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 5', column 'Blast'
Configuration: Kraken (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Kraken on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Negative blood', column 'Kraken'
Configuration: Kraken (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Kraken on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'No template control', column 'Kraken'
Configuration: Kraken (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	1.74E‐5 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Kraken on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 1', column 'Kraken'
Configuration: Kraken (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Kraken on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 2', column 'Kraken'
Configuration: Kraken (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	2.03E‐2 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Kraken on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 3', column 'Kraken'
Configuration: Kraken (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	1.69E‐5 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Kraken on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 4', column 'Kraken'
Configuration: Kraken (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Kraken on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 5', column 'Kraken'
Configuration: Metaphlan (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Metaphlan on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Negative blood', column 'Metaphlan'
Configuration: Metaphlan (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Metaphlan on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'No template control', column 'Metaphlan'
Configuration: Metaphlan (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Metaphlan on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 1', column 'Metaphlan'
Configuration: Metaphlan (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Metaphlan on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 2', column 'Metaphlan'
Configuration: Metaphlan (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	2.30E‐2 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Metaphlan on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 3', column 'Metaphlan'
Configuration: Metaphlan (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Metaphlan on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 4', column 'Metaphlan'
Configuration: Metaphlan (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source Metaphlan on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 5', column 'Metaphlan'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Negative blood', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'No template control', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 1', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of viridans group streptococci in culture-positive patient blood and negative controls (Song et al. 2025 Table 2) Dataset: Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on culture-positive blood and controls (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-bsi-vgs-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 2, row 'Sample 2', column 'RTG'

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9 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-8cc1db47c7f9
Property and statement	Original source and location	Review and provenance
attributes.accession NCBI PRJNA1268383 Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.accession` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.assay MolYsis Complete5 extraction, NEBNext microbiome enrichment, GenomiPhi V2 amplification, Nextera XT, HiSeq 2500 2x100 bp; mean 33.5 M reads per sample after QC Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.assay` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.denominator 5 Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.denominator` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.population Five culture-positive blood samples (all viridans group streptococci, alpha-haemolytic on culture) from 22 sequenced samples; microfiltered sterile human blood (negative blood) and sterile water (no template control). Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.population` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.source_locator Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.source_locator` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.split No split Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.split` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.version Samples from Gyarmati et al. 2016 as reanalysed in Song et al. 2025 Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.version` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
description Shotgun metagenomes from blood of patients with suspected bloodstream infection whose blood cultures grew alpha-haemolytic streptococci, and two negative controls. Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `description` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
name Blood shotgun metagenomes from five culture-positive patients with haematological malignancy, plus negative blood and no-template controls (Song et al. 2025) Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4 Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `name` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Original source · MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML

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Technical metadata and extraction receipts

Stable ID: dna-pathogen-20261009-data-song2025-bsi-blood

areas: microbes-communities
contexts: clinical_research
version: Samples from Gyarmati et al. 2016 as reanalysed in Song et al. 2025
accession: NCBI PRJNA1268383
population: Five culture-positive blood samples (all viridans group streptococci, alpha-haemolytic on culture) from 22 sequenced samples; microfiltered sterile human blood (negative blood) and sterile water (no template control).
split: No split
denominator: 5
assay: MolYsis Complete5 extraction, NEBNext microbiome enrichment, GenomiPhi V2 amplification, Nextera XT, HiSeq 2500 2x100 bp; mean 33.5 M reads per sample after QC
source locator: Methods 'Sample Collection and Processing'; 'Data Analysis' paragraph 1; Results paragraph 2; Discussion paragraph 4

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