Table · dataset · 2026
Additional file 2 of dicast: a machine learning method for accurate structural variant detection from short-read sequencing data
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Additional file 2: Tables S1–S4.
Description
Supplementary tables with legends. Table S1: SV detection methods used per sample for ground truth construction.
Table S2: per-sample de novo assembly statistics. Table S3: overlap graph statistics for ground truth construction. Table S4: known pathogenic SVs used in the clinical diagnostic evaluation of dicast.
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Where it is published
- DOI doi.org/10.6084/m9.figshare.33919171.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Cancer · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Genetics · Humanities · Infectious diseases · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science · Sociology · Virology
- Inferred from text
- Sequencing 75% · Tabular 65%
Provenance · 1 source records, 22 field assertions
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