Published March 20, 2019
| Version v1
Dataset
Open
NanoVar Simulation Datasets
Authors/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 bioRxiv preprint of "NanoVar: Accurate Characterization of Patients' Genomic Structural Variants Using Low-Depth Nanopore Sequencing" by Tham et al. The data consist of three simulation datasets generated using various open source tools and comprise of simulated SV genomes, simulated long-read FASTA files, and ground truth SV information. More information can be found in the README.md.
Files
Files
(13.6 GB)
| Name | Size | |
|---|---|---|
|
md5:74937dabe7c104fad9ec39d04e297cf7
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13.6 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).