reported_ranking: rna-fusion-20261009-method-star-fusion
Reported ranking of STAR-Fusion
In particular, STAR-Fusion, Arriba, and STAR-SEQR had the best combination of speed and accuracy compared to 19 other methods evaluated on cancer transcriptome data.
Descriptive fact transcribed from the pinned source.
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.
6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field reported_ranking Context-only references | Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods Discussion paragraph 2, sentence 1 Version: Genome Biology 20:213, published 2019-10-21; PMC6802306 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 Discussion paragraph 2, sentence 1 Context-only references | Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods Discussion paragraph 2, sentence 1 Version: Genome Biology 20:213, published 2019-10-21; PMC6802306 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 value In particular, STAR-Fusion, Arriba, and STAR-SEQR had the best combination of speed and accuracy compared to 19 other methods evaluated on cancer transcriptome data. Context-only references | Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods Discussion paragraph 2, sentence 1 Version: Genome Biology 20:213, published 2019-10-21; PMC6802306 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 |
| Description Descriptive fact transcribed from the pinned source. Context-only references | Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods Discussion paragraph 2, sentence 1 Version: Genome Biology 20:213, published 2019-10-21; PMC6802306 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 |
| Relationship: subject rna-fusion-20261009-method-star-fusion Context-only references | Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods Discussion paragraph 2, sentence 1 Version: Genome Biology 20:213, published 2019-10-21; PMC6802306 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 |
| Name reported_ranking: rna-fusion-20261009-method-star-fusion Context-only references | Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods Discussion paragraph 2, sentence 1 Version: Genome Biology 20:213, published 2019-10-21; PMC6802306 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
1 source record and release history
- Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods · Original source · Genome Biology 20:213, published 2019-10-21; PMC6802306 full-text XML
Technical metadata and extraction receipts
Stable ID: rna-fusion-20261012-haas2019-claim-top-performers
- field
- reported_ranking
- value
- In particular, STAR-Fusion, Arriba, and STAR-SEQR had the best combination of speed and accuracy compared to 19 other methods evaluated on cancer transcriptome data.
- source locator
- Discussion paragraph 2, sentence 1
- review
- method: source-hash-verification; independent-cell-check; 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: 9828428800fb119b30742d6f6f0b1aabf4b8cd34bd889768c462ca440cd65108; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC6802306/fullTextXML; method note: Transcribed from the pinned article XML; extract/extract_haas2019.py asserts each Table 1 row or sentence.; note: Re-downloaded the Europe PMC full-text XML and matched its SHA-256; compared the text verbatim with a separate parser of Table 1 and the Discussion written for this review.
Related records
- subject: STAR-Fusion