rewirebio.iobenchmarks
Evidence claim

Relevance of read classification on 30 ONT pseudo-mock communities of out-of-database species (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
Read classification on 30 ONT pseudo-mock communities of out-of-database species (Peres da Silva et al. 2024)
Relevance
Proxy evidence
Endpoint
Share of reads assigned at genus level across 30 pseudo-mocks of out-of-database species

MetageNN and the baselines Kraken2 and MEGAN-LR (on minimap2 alignments) are run on the same reads from species missing from the reference, which bears on the use case's question about organisms absent from the reference. The printed endpoint is the share of reads classified, not whether they were classified correctly. It is proxy evidence: isolate-derived reads, a 516-genome reference and genus-level calls, not patient specimens.

5 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.

20 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 'Read classification results'; 'Community-level results'
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 'Read classification results'; 'Community-level results'

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 'Read classification results'; 'Community-level results'

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 'Read classification results'; 'Community-level results'

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 'Read classification results'; 'Community-level results'

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
Share of reads assigned at genus level across 30 pseudo-mocks of out-of-database species
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 'Read classification results'; 'Community-level results'

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

Claimed field
links:assessed_by:dna-pathogen-20261012-metagenn-protocol-mocks
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 'Read classification results'; 'Community-level results'

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
proportion
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 'Read classification results'; 'Community-level results'

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
7 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.
  • The pseudo-mocks are assembled in silico from isolate reads; they are not sequenced communities.
  • A larger share of reads assigned is not better by itself; whether the assignments were correct is shown only in Figure 4b.
  • 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 'Read classification results'; 'Community-level results'

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
13 values
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  • record id
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    fields
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    fields
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    • facets
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  • record id
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    fields
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  • record id
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    fields
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    sha256
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  • record id
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    fields
    • status
    • name
    • description
    • facets
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    • attributes.inputs
    • attributes.output
    • attributes.exclusions
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    sha256
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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 'Read classification results'; 'Community-level results'

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

Rationale
MetageNN and the baselines Kraken2 and MEGAN-LR (on minimap2 alignments) are run on the same reads from species missing from the reference, which bears on the use case's question about organisms absent from the reference. The printed endpoint is the share of reads classified, not whether they were classified correctly. It is proxy evidence: isolate-derived reads, a 516-genome reference and genus-level calls, not patient specimens.
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 'Read classification results'; 'Community-level results'

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.rationale

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-mocks

field
links:assessed_by:dna-pathogen-20261012-metagenn-protocol-mocks
value
dna-pathogen-20261012-metagenn-protocol-mocks
relevance
proxy
endpoint
Share of reads assigned at genus level across 30 pseudo-mocks of out-of-database species
rationale
MetageNN and the baselines Kraken2 and MEGAN-LR (on minimap2 alignments) are run on the same reads from species missing from the reference, which bears on the use case's question about organisms absent from the reference. The printed endpoint is the share of reads classified, not whether they were classified correctly. It is proxy evidence: isolate-derived 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.; The pseudo-mocks are assembled in silico from isolate reads; they are not sequenced communities.; A larger share of reads assigned is not better by itself; whether the assignments were correct is shown only in Figure 4b.; 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 'Read classification results'; 'Community-level results'
source locator
dna-pathogen-20261012-metagenn-source: Results 'Read classification results'; 'Community-level results'
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
proportion
stratum label
Pseudo-mock communities of out-of-database species
stratum order
2
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.
reviewed evaluations
dna-pathogen-20261012-metagenn-eval-kraken2-mocks; dna-pathogen-20261012-metagenn-eval-megan-lr-mocks; dna-pathogen-20261012-metagenn-eval-metagenn-mocks; dna-pathogen-20261012-metagenn-eval-metamaps-mocks; dna-pathogen-20261012-metagenn-eval-mmseqs2-mocks
pins
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