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June 24, 2019SHILAP Revista de lepidopterología3,332 citationsOpen Access

Performance of neural network basecalling tools for Oxford Nanopore sequencing

RWRyan R. WickLJLouise M. JuddKHKathryn E. Holt

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Abstract

Basecalling accuracy has seen significant improvements over the last 2 years. The current version of ONT's Guppy basecaller performs well overall, with good accuracy and fast performance. If higher accuracy is required, users should consider producing a custom model using a larger neural network and/or training data from the same species.

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Cite This Study

Wick et al. (2019) studied this question.

synapsesocial.com/papers/69d8911e52654bb436d19506https://doi.org/10.1186/s13059-019-1727-y
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