Baseline: Prioritise variants for splicing experiments
Baseline of Prioritise variants for splicing experiments
MaxEntScan
Baseline method for the use case, reviewed against its cited sources.
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.
18 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field baseline Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Claimed field baseline Context-only references | Benchmarking deep learning splice prediction tools using functional splice assays splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Human Mutation 42(7):799, published online 2021-05-20; PMC8360004 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Method ids1 values
| Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Method ids1 values
| Benchmarking deep learning splice prediction tools using functional splice assays splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Human Mutation 42(7):799, published online 2021-05-20; PMC8360004 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Pinned records3 values
| Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Pinned records3 values
| Benchmarking deep learning splice prediction tools using functional splice assays splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Human Mutation 42(7):799, published online 2021-05-20; PMC8360004 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Rationale MaxEntScan scores splice-site strength with a maximum-entropy model of the donor and acceptor motifs and is a long-standing tool in diagnostic splice prediction. Splicing assay benchmarks compare deep-learning predictors with it. Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Rationale MaxEntScan scores splice-site strength with a maximum-entropy model of the donor and acceptor motifs and is a long-standing tool in diagnostic splice prediction. Splicing assay benchmarks compare deep-learning predictors with it. Context-only references | Benchmarking deep learning splice prediction tools using functional splice assays splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Human Mutation 42(7):799, published online 2021-05-20; PMC8360004 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Context-only references | Benchmarking deep learning splice prediction tools using functional splice assays splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Human Mutation 42(7):799, published online 2021-05-20; PMC8360004 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
2 source records and release history
- Benchmarking deep learning splice prediction tools using functional splice assays · Original source · Human Mutation 42(7):799, published online 2021-05-20; PMC8360004 full-text XML
- Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Original source · PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML
Technical metadata and extraction receipts
Stable ID: use-case-baseline-splicing-follow-up
- field
- baseline
- value
- MaxEntScan
- source locator
- splicing-follow-up-20261009-source-riepe2021: Introduction (MaxEntScan apart from the classical machine learning tools), Table 1 and Methods (MaxEntScan selection criterion); rna-splicing-20261011-fortier2026-source-article: Introduction (MaxEntScan commonly used)
- method ids
- splicing-follow-up-20261009-method-maxentscan
- rationale
- MaxEntScan scores splice-site strength with a maximum-entropy model of the donor and acceptor motifs and is a long-standing tool in diagnostic splice prediction. Splicing assay benchmarks compare deep-learning predictors with it.
- review
- method: source-hash-verification; automated-source-review; reviewer: claude; reviewer note: Separate Claude review agent, independent of the agent that proposed the baseline; no human review claimed; reviewed at: 2026-10-12T18:00:00Z; note: Reviewer corrected rationale and source list. Sources re-retrieved and read; method records and their configuration links checked against the use case's active comparisons. Names the reference newer methods are compared with, not a recommendation. See docs/reviews/use-cases/baselines-2026-10-12.md.
- pins
- record id: rna-splicing-20261011-fortier2026-source-article; fields: status; attributes.artifact_sha256; sha256: f632aac0a971c54f908ad18bc9965d498c05b69bd07552d9915807db55a22233; record id: splicing-follow-up-20261009-source-riepe2021; fields: status; attributes.artifact_sha256; sha256: c72ff08c9e91d597a535e8c71142e90884d0b1e3bfb1a62c8cd69e2ea1aa6d40; record id: use-case-splicing-follow-up; fields: status; name; description; facets; attributes.question; attributes.decision; attributes.inputs; attributes.output; attributes.exclusions; attributes.setting; attributes.clinical_scope; attributes.intended_users; sha256: a811d697e1ee1733fb4ed295b0083737c626980c1af83116dc2e404cbf01821b