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Clair3-trio: high-performance Nanopore long-read variant calling in family trios with trio-to-trio deep neural networks
Accurate identification of genetic variants from family child–mother–father trio sequencing data is important in genomics. However, state-of-the-art approaches treat variant calling from trios as three independent tasks, which limits their calling accuracy for Nanopore long-read sequencing data. For...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487642/ https://www.ncbi.nlm.nih.gov/pubmed/35849103 http://dx.doi.org/10.1093/bib/bbac301 |