NanoVar Simulation Datasets
<p>The data stored here were used for benchmarking long-read structural variant (SV) callers in the publication:</p> <p>Tham, CY., Tirado-Magallanes, R., Goh, Y. <em>et al.</em> NanoVar: accurate characterization of patients’ genomic structural variants using low-depth nanopore sequencing. <em>Genome Biol</em> <strong>21, </strong>56 (2020). https://doi.org/10.1186/s13059-020-01968-7</p> <p>The data consist of six simulated SV genomes generated using various open source tools and comprise also of simulated long-read FASTA files and ground truth SV information. More information can be found in the README.md.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 8
- Reuse readiness
- 8
- Engagement
- 0
Topics
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