rewire.it
Task

metagenomic genus classification

Genus classification compares sequence representations on separate simulated amplicon and shotgun datasets.

SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

1 evaluation · 1 metric row

At a glance

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Data, procedure and scoring
PropertyDescription and evidence
DatasetsAmplicon and shotgun collections derived from RDP version 11 update 5 (30 September 2016), with balanced taxonomic subsets and a separate unbalanced Qiita collection. The taxonomic label level and sequence-generation method must remain attached to each evaluation.
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Results 3.1 Datasets
SplitsTen-fold cross-validation is reported for the benchmark experiments.
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58
MetricsClassification accuracy at multiple ranks; the genus task must be distinguished from easier higher-rank outcomes.
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58
BaselinesConventional classifiers using PC-mer are compared with CNN/DBN approaches using alternative encodings.
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58
Leakage controlsThe study evaluates supervised classifiers with ten-fold cross-validation across the amplicon and shotgun collections. Sections 2.2 and 3.1–3.5 do not specify genome-, species- or homology-grouped fold assignment; ten-fold evaluation alone does not establish unseen-species generalization. · Not reported in inspected sources
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods 2.2 Learning unit; Results 3.1 Datasets and 3.5.1 Training and testing procedure
UncertaintyThe cited text-accessible evaluation sections give no confidence-interval, resampling or repeat-run error-bar specification. Image-only tables and uninspected supplements are outside this absence claim. · Not reported in inspected sources
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58
Entity typePaper-specific computational evaluation protocol.
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58
OrganismsSimulated microbial amplicon and shotgun communities.
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58
AssaysGenus-level taxonomic labels.
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58
Allowed inputsSequence-derived PC-mer or alternative feature encodings.
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58
AdaptationSupervised classifiers evaluated through ten-fold cross-validation.
SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

How it works

How it worksComputational evaluation flow
Computational evaluation flow1. Input: Sequence-derived PC-mer or alternative feature encodings.. Then: 2. Evaluation: Ten-fold cross-validation is reported for the benchmark experiments.. Then: 3. Readout: Classification accuracy at multiple ranks; the genus task must be distinguished from easier higher-rank outcomes.Computational evaluation flow1. Input: Sequence-derived PC-mer or alternative feature encodings.. Then: 2. Evaluation: Ten-fold cross-validation is reported for the benchmark experiments.. Then: 3. Readout: Classification accuracy at multiple ranks; the genus task must be distinguished from easier higher-rank outcomes.Computational evaluation flow1. Input: Sequence-derived PC-mer or alternative feature encodings.. Then: 2. Evaluation: Ten-fold cross-validation is reported for the benchmark experiments.. Then: 3. Readout: Classification accuracy at multiple ranks; the genus task must be distinguished from easier higher-rank outcomes.

Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.

SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58
Evaluation methodology

Amplicon and shotgun collections derived from RDP version 11 update 5 (30 September 2016), with balanced taxonomic subsets and a separate unbalanced Qiita collection. The taxonomic label level and sequence-generation method must remain attached to each evaluation. Ten-fold cross-validation is reported for the benchmark experiments. Classification accuracy at multiple ranks; the genus task must be distinguished from easier higher-rank outcomes. Conventional classifiers using PC-mer are compared with CNN/DBN approaches using alternative encodings. The study evaluates supervised classifiers with ten-fold cross-validation across the amplicon and shotgun collections. Sections 2.2 and 3.1–3.5 do not specify genome-, species- or homology-grouped fold assignment; ten-fold evaluation alone does not establish unseen-species generalization.

SourcesPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Results 3.1 Datasets; Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58; Methods 2.2 Learning unit; Results 3.1 Datasets and 3.5.1 Training and testing procedure

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Tested entities and results

Release 2026-09-17-d277315f7d76 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
PC-mer + LR: metagenomic genus classification

k=8 PC-mer feature extraction with logistic regression on AMP genus-classification dataset

Author-reported evaluation · Evaluation metadata: needs review

96.95% accuracy

Unit: percent · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedPC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification · Table 3, AMP section, PC-mer + LR k=8 row, Accuracy (%) column

Source checking is not independent reproduction.

Papers and result coverage

Last literature check: 2026-09-17. Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.

Paper or primary resourceVersionReference
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classificationversion of recordRead source
DOI: 10.1371/journal.pone.0307279

What is still missing

  • Complete raw table acquired. Dataset and k-mer row spans must be propagated; CNN/DBN/RDP/PC-mer-LR/WalkIm rows retained. Structured extraction pending; do not infer equivalent preprocessing.
Search and extraction details

source found structured extraction pending

Searches

  • PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification primary paper benchmark results

Evidence locations

  • Table3 AMP/SG datasets and k-mer configurations

Strengths and limitations

Strengths and considerations

No source-reviewed explanatory claims are recorded here yet.

Profile review details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Stable record: reported-task-4420dcdfe8338d

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.

17 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statementOriginal source and locationReview and provenance
Diagram caption

Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.diagram.caption

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Diagram steps

["Input: Sequence-derived PC-mer or alternative feature encodings.","Evaluation: Ten-fold cross-validation is reported for the benchmark experiments.","Readout: Classification accuracy at multiple ranks; the genus task must be distinguished from easier higher-rank outcomes."]

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.diagram.steps

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Diagram title

Computational evaluation flow

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.diagram.title

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Datasets

Amplicon and shotgun collections derived from RDP version 11 update 5 (30 September 2016), with balanced taxonomic subsets and a separate unbalanced Qiita collection. The taxonomic label level and sequence-generation method must remain attached to each evaluation.

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Results 3.1 Datasets

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.0.value

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Splits

Ten-fold cross-validation is reported for the benchmark experiments.

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.1.value

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Adaptation

Supervised classifiers evaluated through ten-fold cross-validation.

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.10.value

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Metrics

Classification accuracy at multiple ranks; the genus task must be distinguished from easier higher-rank outcomes.

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.2.value

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Baselines

Conventional classifiers using PC-mer are compared with CNN/DBN approaches using alternative encodings.

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.3.value

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Leakage controls

The study evaluates supervised classifiers with ten-fold cross-validation across the amplicon and shotgun collections. Sections 2.2 and 3.1–3.5 do not specify genome-, species- or homology-grouped fold assignment; ten-fold evaluation alone does not establish unseen-species generalization.

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Methods 2.2 Learning unit; Results 3.1 Datasets and 3.5.1 Training and testing procedure

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

unreported

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.4.value

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Uncertainty

The cited text-accessible evaluation sections give no confidence-interval, resampling or repeat-run error-bar specification. Image-only tables and uninspected supplements are outside this absence claim.

Individual claims
PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification

Original source ↗

Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58

Version: version of record
Retrieved: 2026-09-16T10:41:06Z

unreported

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.5.value

Source artifact SHA-256: 0b0a225fa6f5f3ba41dffc7b320c91f47738301cf45835260eecaa03b704a097

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

Inspected artifact

Sources and history

Release 2026-09-17-d277315f7d76 · Record review: needs review

2 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: reported-task-4420dcdfe8338d

areas
microbes-communities
tasks
metagenomic genus classification
entity level
task
version
Not reported
task
metagenomic genus classification
scope note
Paper-specific evaluation task; protocol completeness requires further extraction.
benchmark research
review date: 2026-09-17; status: source_found_structured_extraction_pending; primary sources: evidence-expansion-p2-pc-mer-2024-0b0a225fa6f5; inspected locators: Table3 AMP/SG datasets and k-mer configurations; searched queries: PC-mer: An Ultra-fast memory-efficient tool for metagenomics profiling and classification primary paper benchmark results; gaps: Complete raw table acquired. Dataset and k-mer row spans must be propagated; CNN/DBN/RDP/PC-mer-LR/WalkIm rows retained. Structured extraction pending; do not infer equivalent preprocessing.; claim scope: Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.
historical missing metadata
protocol version: not_reported_in_legacy_extract
metadata review scope
historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
legacy kinds
benchmark
entity classification
review date: 2026-09-17; rationale: This source-scoped record identifies the biological prediction task and holds its paper context. Preserve the existing task identity; exact split, model adaptation and scoring remain in linked evaluations or separate protocol records.; source ids: pc-mer-2024; source locator: Methods §3.1; Results/Conclusion; cached text lines 23–24, 48, 58; ambiguities: A paper- or suite-specific task may constrain some inputs or metrics; that alone does not make it interchangeable with a complete versioned protocol. No protocol equivalence is inferred.; Some legacy profile Entity type facts use the generic phrase computational evaluation protocol. That boilerplate is not sufficient to establish a single fixed protocol identity or to merge this task with another protocol record.
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