
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
