HIGHLIGHTS
- who: Marc Pagu00e8s-Gallego from the Center for Molecular Medicine, University Medical Center have published the research: Comprehensive benchmark and architectural analysis of deep learning models for nanopore sequencing basecalling, in the Journal: (JOURNAL)
- what: The authors present a comprehensive set of benchmarking tools, including a range of evaluation metrics, that can be used to analyze the strengths and weaknesses of basecaller models. The authors also benchmarked the top performing architectures using different training and testing datasets, allowing the authors to the authors evaluate the robustness of the models to training data biases. Together, the . . .
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