rewirebio.iobenchmarks
Evidence claim

Relevance of genus-level read classification of ONT bacterial isolates, main database (Peres da Silva et al. 2024) to "Select a DNA pathogen-identification workflow for diagnostic testing"

Use case
Select a DNA pathogen-identification workflow for diagnostic testing
Assessed by
Genus-level read classification of ONT bacterial isolates, main database (Peres da Silva et al. 2024)
Relevance
Proxy evidence
Endpoint
Genus-level sensitivity and F1 of read assignment, averaged across all 81 ONT bacterial isolates

Kraken2 and MMseqs2 are scored on real ONT reads from 81 bacterial isolates at genus level, with the same 516-genome reference. MetageNN is excluded because its printed values cover only one subset that no printed baseline value covers. It is proxy evidence: isolate reads, a 516-genome reference and genus-level calls, not patient specimens.

2 reviewed evaluations

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

21 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statementOriginal source and locationReview and provenance
Citation locations
1 values
  • source id
    dna-pathogen-20261012-metagenn-source
    locator
    Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.citation_locators

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison group
metagenn2024-ont
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.comparison_group

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison title
MetageNN against alignment and k-mer classifiers on ONT reads (Peres da Silva et al. 2024)
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.comparison_title

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Constraints
2 values
  • Inspect every linked evaluation's source locator and preserved limitations before citing a result.
  • Do not combine these results with another protocol's results; references and taxonomic ranks differ between sources.
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.constraints

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Endpoint
Genus-level sensitivity and F1 of read assignment, averaged across all 81 ONT bacterial isolates
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.endpoint

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Excluded evaluations
1 values
  • id
    dna-pathogen-20261012-metagenn-eval-metagenn-isolates
    reason
    MetageNN's printed values cover only out-of-database isolates in genera with more than three species, a subset with no printed baseline value; its full comparison is in Figure 3 only. Excluded at independent review 2026-10-12.
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.excluded_evaluations

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Claimed field
links:assessed_by:dna-pathogen-20261012-metagenn-protocol-isolates
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.field

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Headline metric
recall
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.headline_metric

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Limitations
5 values
  • Most per-tool accuracy values are only in Figures 3 and 4 and were not extracted.
  • Bacterial isolates only; no host DNA, viruses, fungi or clinical specimens.
  • A 516-genome reference and genus-level classification.
  • minimap2 is used only to produce MEGAN-LR's alignments, not scored on its own.
  • All tools were run by the MetageNN authors, who developed MetageNN (author_reported); no uncertainty is printed.
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.limitations

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Pinned records
9 values
  • record id
    dna-pathogen-20261012-metagenn-eval-kraken2-isolates
    fields
    • status
    • links
    • attributes.origin
    • attributes.comparison
    sha256
    ce583906a91ae48a79f1ccd2ea0c3e124b8a81f185e68c5bb50f90c8d6077cb1
  • record id
    dna-pathogen-20261012-metagenn-eval-mmseqs2-isolates
    fields
    • status
    • links
    • attributes.origin
    • attributes.comparison
    sha256
    85bdff0f1c7f326268a50716055c663e0285789c4636d8d35360f5e79da03cba
  • record id
    dna-pathogen-20261012-metagenn-protocol-isolates
    fields
    • status
    • name
    • description
    • facets
    • source_ids
    • links
    • attributes
    sha256
    28481ee21f592aa2e82fa8dafcf76896085fe2c1e3865bb32dce1da29799352f
  • record id
    dna-pathogen-20261012-metagenn-result-kraken2-isolates-all-f1
    fields
    • status
    • attributes.metric
    • attributes.metric_qualifier
    • attributes.printed_value
    • attributes.numeric_value
    sha256
    ffe8063bb713e1e006fa33aee9d810327a758b55210c05f12a4332228efc0cdc
  • record id
    dna-pathogen-20261012-metagenn-result-kraken2-isolates-all-recall
    fields
    • status
    • attributes.metric
    • attributes.metric_qualifier
    • attributes.printed_value
    • attributes.numeric_value
    sha256
    99b853d78819134bf652a4bbb10b719c7b3990487f4fc8ea0d63fc9791fa888f
  • record id
    dna-pathogen-20261012-metagenn-result-mmseqs2-isolates-all-f1
    fields
    • status
    • attributes.metric
    • attributes.metric_qualifier
    • attributes.printed_value
    • attributes.numeric_value
    sha256
    00e481267b4e05a3013c6102a15570ccb297520257ef480230b3b2fc76aaf8ff
  • record id
    dna-pathogen-20261012-metagenn-result-mmseqs2-isolates-all-recall
    fields
    • status
    • attributes.metric
    • attributes.metric_qualifier
    • attributes.printed_value
    • attributes.numeric_value
    sha256
    44caca2c0db3d67d99604f55d09801038b60e0b545f206f364ea16e0da6fd5ed
  • record id
    dna-pathogen-20261012-metagenn-source
    fields
    • status
    • attributes.artifact_sha256
    sha256
    e8ab45945d6be94b2b510f47fec3f8847c209fbee7309ad4cfdd841f4ff6a331
  • record id
    use-case-diagnostic-dna-pathogen-identification
    fields
    • status
    • name
    • description
    • facets
    • attributes.question
    • attributes.decision
    • attributes.inputs
    • attributes.output
    • attributes.exclusions
    • attributes.setting
    • attributes.clinical_scope
    • attributes.intended_users
    sha256
    fc133441f475bb23dafd0c0c55f4e16cd20302f9148b21b98de31077dfe16338
Context-only references
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Original source ↗

dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'

Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Retrieved: 2026-10-12T20:50:20Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.pins

Source artifact SHA-256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

How to read the evidence

Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: use-case-mapping-dna-pathogen-20261012-metagenn-isolates

field
links:assessed_by:dna-pathogen-20261012-metagenn-protocol-isolates
value
dna-pathogen-20261012-metagenn-protocol-isolates
relevance
proxy
endpoint
Genus-level sensitivity and F1 of read assignment, averaged across all 81 ONT bacterial isolates
rationale
Kraken2 and MMseqs2 are scored on real ONT reads from 81 bacterial isolates at genus level, with the same 516-genome reference. MetageNN is excluded because its printed values cover only one subset that no printed baseline value covers. It is proxy evidence: isolate reads, a 516-genome reference and genus-level calls, not patient specimens.
constraints
Inspect every linked evaluation's source locator and preserved limitations before citing a result.; Do not combine these results with another protocol's results; references and taxonomic ranks differ between sources.
limitations
Most per-tool accuracy values are only in Figures 3 and 4 and were not extracted.; Bacterial isolates only; no host DNA, viruses, fungi or clinical specimens.; A 516-genome reference and genus-level classification.; minimap2 is used only to produce MEGAN-LR's alignments, not scored on its own.; All tools were run by the MetageNN authors, who developed MetageNN (author_reported); no uncertainty is printed.
citation locators
source id: dna-pathogen-20261012-metagenn-source; locator: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'
source locator
dna-pathogen-20261012-metagenn-source: Results 'Evaluation metrics'; 'Results for all genomes'; 'Results for “Species out of the database” settings'
revision
1
reason
Drafted by the extracting agent in the 2026-10-12 ML-versus-baseline pass (issue #121); reviewed by a separate Claude review agent on 2026-10-12 with corrections (docs/reviews/use-cases/dna-pathogen-ml-baseline-2026-10-12.md).
comparison group
metagenn2024-ont
comparison title
MetageNN against alignment and k-mer classifiers on ONT reads (Peres da Silva et al. 2024)
headline metric
recall
stratum label
ONT bacterial isolates
stratum order
1
review
method: source-hash-verification; independent-cell-check; scope-review; reviewer: claude; reviewer note: Separate Claude review agent (rev-mlvb), independent of the extracting agent; no human review claimed; date: 2026-10-12; artifact sha256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11022314/fullTextXML; method note: Judgement drafted by the extracting agent from the pinned article.; note: Endpoint, proxy relevance and limitations checked against the use case's question, inputs and baseline. Every result on the listed evaluations was checked against the article XML.
excluded evaluations
id: dna-pathogen-20261012-metagenn-eval-metagenn-isolates; reason: MetageNN's printed values cover only out-of-database isolates in genera with more than three species, a subset with no printed baseline value; its full comparison is in Figure 3 only. Excluded at independent review 2026-10-12.
reviewed evaluations
dna-pathogen-20261012-metagenn-eval-kraken2-isolates; dna-pathogen-20261012-metagenn-eval-mmseqs2-isolates
pins
record id: dna-pathogen-20261012-metagenn-eval-kraken2-isolates; fields: status; links; attributes.origin; attributes.comparison; sha256: ce583906a91ae48a79f1ccd2ea0c3e124b8a81f185e68c5bb50f90c8d6077cb1; record id: dna-pathogen-20261012-metagenn-eval-mmseqs2-isolates; fields: status; links; attributes.origin; attributes.comparison; sha256: 85bdff0f1c7f326268a50716055c663e0285789c4636d8d35360f5e79da03cba; record id: dna-pathogen-20261012-metagenn-protocol-isolates; fields: status; name; description; facets; source_ids; links; attributes; sha256: 28481ee21f592aa2e82fa8dafcf76896085fe2c1e3865bb32dce1da29799352f; record id: dna-pathogen-20261012-metagenn-result-kraken2-isolates-all-f1; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: ffe8063bb713e1e006fa33aee9d810327a758b55210c05f12a4332228efc0cdc; record id: dna-pathogen-20261012-metagenn-result-kraken2-isolates-all-recall; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 99b853d78819134bf652a4bbb10b719c7b3990487f4fc8ea0d63fc9791fa888f; record id: dna-pathogen-20261012-metagenn-result-mmseqs2-isolates-all-f1; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 00e481267b4e05a3013c6102a15570ccb297520257ef480230b3b2fc76aaf8ff; record id: dna-pathogen-20261012-metagenn-result-mmseqs2-isolates-all-recall; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 44caca2c0db3d67d99604f55d09801038b60e0b545f206f364ea16e0da6fd5ed; record id: dna-pathogen-20261012-metagenn-source; fields: status; attributes.artifact_sha256; sha256: e8ab45945d6be94b2b510f47fec3f8847c209fbee7309ad4cfdd841f4ff6a331; record id: use-case-diagnostic-dna-pathogen-identification; fields: status; name; description; facets; attributes.question; attributes.decision; attributes.inputs; attributes.output; attributes.exclusions; attributes.setting; attributes.clinical_scope; attributes.intended_users; sha256: fc133441f475bb23dafd0c0c55f4e16cd20302f9148b21b98de31077dfe16338
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