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A multi-task convolutional deep neural network for variant calling in single molecule sequencing
The accurate identification of DNA sequence variants is an important, but challenging task in genomics. It is particularly difficult for single molecule sequencing, which has a per-nucleotide error rate of ~5–15%. Meeting this demand, we developed Clairvoyante, a multi-task five-layer convolutional...
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| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6397153/ https://ncbi.nlm.nih.gov/pubmed/30824707 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-09025-z |
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