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## Documentation
See [Wiki](https://github.com/cytham/nanovar/wiki) for more information.
See [wiki](https://github.com/cytham/nanovar/wiki) for more information.

## Versioning
See [CHANGELOG](./CHANGELOG.txt)

## Citation
If you use NanoVar, please cite:

Tham, C., 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
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


## Authors
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## Simulation datasets and scripts used in the manuscript
SV simulation datasets used in the manuscript can be downloaded [here](https://doi.org/10.5281/zenodo.3569479 ). Scripts used for simulation dataset generation and tool performance comparison are available [here](./scripts).

Although NanoVar is provided with a universal model and threshold score, instructions required for building a custom neural-network model is available [here](https://github.com/cytham/nanovar/wiki/Model-training).
Although NanoVar is provided with a universal model and threshold score, instructions required for building a custom neural-network model is available [here](https://github.com/cytham/nanovar/wiki/Model-training).

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