NanoSim pre-trained model: Human giab - AshkenaziTrio - Son - NA24385 - HG002 - Kit V14 - R10 - basecalled by dorado

The tarball contains the NanoSim pre-trained model on the following dataset: https://labs.epi2me.io/askenazi-kit14-2022-12/

The input reads are from Human Genome in a Bottle AshkenaziTrio - Son (NA24385 - hg002) which were sequenced with PromethION flow cells performed using the Ligation Sequencing Kit V14 sequencing chemistry and base-called by dorado.

Please check the NanoSim Github page for the most up-to-date information on release notes as well as pre-trained models: https://github.com/bcgsc/NanoSim

Versions used for training this specific model: NanoSim 3.0.2, Python 3.7.10, scikit-learn v0.23.2. If you have any issues running NanoSim, please check the dependencies section on GitHub for more help.