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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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| Yayımlandı: | Nat Commun |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Publishing Group UK
2019
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| Konular: | |
| Online Erişim: | 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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