Anchor-based junction usage from GTEx v8 junction counts summed per tissue, for protein-coding genes (GENCODE v48) on chromosomes 1, 3, 5, 7 and 9; for each junction the 24 highest-usage tissues are paired with the 24 lowest.
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7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Population 14,712,948 junction-tissue-pair comparisons across all tissue pairs; cerebellum versus blood 13,770 and cortex versus testis 39,323 junctions Context-only references | A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) Main 'Modeling tissue-specific splicing' paragraph 2; Methods 'Prediction of tissue-specific junction usage'; Fig. 2b Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy. |
| Reuse restrictions Controlled access: GTEx individual-level WGS and RNA-seq through dbGaP phs000424.v9.p2. The derived benchmark variant lists are not released with the paper (Data and code availability names only code, weights and precomputed scores). Context-only references | A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) Main 'Modeling tissue-specific splicing' paragraph 2; Methods 'Prediction of tissue-specific junction usage'; Fig. 2b Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy. |
| Source location Main 'Modeling tissue-specific splicing' paragraph 2; Methods 'Prediction of tissue-specific junction usage'; Fig. 2b Context-only references | A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) Main 'Modeling tissue-specific splicing' paragraph 2; Methods 'Prediction of tissue-specific junction usage'; Fig. 2b Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy. |
| Split Held-out chromosomes 1, 3, 5, 7 and 9 Context-only references | A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) Main 'Modeling tissue-specific splicing' paragraph 2; Methods 'Prediction of tissue-specific junction usage'; Fig. 2b Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy. |
| Version GTEx v8 short-read junction counts, 48 tissues Context-only references | A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) Main 'Modeling tissue-specific splicing' paragraph 2; Methods 'Prediction of tissue-specific junction usage'; Fig. 2b Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy. |
| Description Anchor-based junction usage from GTEx v8 junction counts summed per tissue, for protein-coding genes (GENCODE v48) on chromosomes 1, 3, 5, 7 and 9; for each junction the 24 highest-usage tissues are paired with the 24 lowest. Context-only references | A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) Main 'Modeling tissue-specific splicing' paragraph 2; Methods 'Prediction of tissue-specific junction usage'; Fig. 2b Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy. |
| Name GTEx v8 tissue-specific junction usage differences on held-out chromosomes (Jaganathan et al. 2026) Context-only references | A unified framework for quantitative splicing and transcript prediction (Jaganathan et al., bioRxiv 2026) Main 'Modeling tissue-specific splicing' paragraph 2; Methods 'Prediction of tissue-specific junction usage'; Fig. 2b Version: bioRxiv preprint version 1, posted 2026-10-11; full-text PDF (57 pages) | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of one retrieval of the bioRxiv PDF. bioRxiv stamps the PDF when serving it (XMP ModifyDate, MetadataDate, DocumentID, InstanceID, Info ModDate and the second trailer ID), so later retrievals differ. A reviewer retrieval on 2026-10-13 of the same length (2,679,664 bytes) had SHA-256 407f5884427dda0226e0ce1f022e4479d3ff2b243da18bcc691eb345b0e04a6a and ModDate D:20261013063115-07'00'; its bytes differ only in those fields and its pdftotext text layer is identical to the pinned copy. |
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
Stable ID: rna-splicing-20261013-spliceai2-data-gtex-tissue-junctions