Published December 27, 2019
| Version v2
Dataset
Open
NanoVar Simulation Datasets
Creators
- 1. Cancer Science Institute of Singapore, National University of Singapore
Description
The data stored here were used for benchmarking long-read structural variant (SV) callers in the publication:
Tham, CY., Tirado-Magallanes, R., Goh, Y. et al. NanoVar: accurate characterization of patients’ genomic structural variants using low-depth nanopore sequencing. Genome Biol 21, 56 (2020). https://doi.org/10.1186/s13059-020-01968-7
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.
Files
Files
(76.0 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:f39861e7fc7878357d45109b915a4972
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76.0 GB | Download |
Additional details
References
- Bartenhagen, C. & Dugas, M. RSVSim: an R/Bioconductor package for the simulation of structural variations. Bioinformatics 29, 1679–1681 (2013).
- Yang, C., Chu, J., Warren, R. L. & Birol, I. NanoSim: nanopore sequence read simulator based on statistical characterization. Gigascience 6, 1–6 (2017).