Abstract
Background: Nanopore-based DNA sequencing relies on basecalling the electriccurrent signal. Basecalling requires neural networks to achieve competitive accuracies.To improve sequencing accuracy further, new models are continuously proposed withnew architectures. However, benchmarking is currently not standardized, andevaluation metrics and datasets used are defined on a per publication basis, impedingprogress in the
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