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- W4294068887 abstract "Abstract Deep learning-based variant callers are becoming the standard and have achieved superior SNP calling performance using long reads. In this paper, we present Clair3, which makes the best of two major method categories: pile-up calling handles most variant candidates with speed, and full-alignment tackles complicated candidates to maximize precision and recall. Clair3 ran faster than any of the other state-of-the-art variant callers and performed the best, especially at lower coverage." @default.
- W4294068887 created "2022-09-01" @default.
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- W4294068887 date "2022-09-01" @default.
- W4294068887 modified "2023-10-14" @default.
- W4294068887 title "Symphonizing pileup and full-alignment for deep learning-based long-read variant calling" @default.
- W4294068887 doi "https://doi.org/10.21203/rs.3.rs-1881940/v1" @default.
- W4294068887 hasPublicationYear "2022" @default.
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