Comprehensive benchmark and architectural analysis of deep learning models for nanopore sequencing basecalling
Abstract Background Nanopore-based DNA sequencing relies on basecalling the electric current signal. Basecalling requires neural networks to achieve competitive accuracies. To improve sequencing accuracy further, new models are continuously proposed with new architectures. However, benchmarking is c...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-04-01
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| Series: | Genome Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13059-023-02903-2 |