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The application of deep learning for the classification of correct and incorrect SNP genotypes from whole-genome DNA sequencing pipelines
A downside of next-generation sequencing technology is the high technical error rate. We built a tool, which uses array-based genotype information to classify next-generation sequencing–based SNPs into the correct and the incorrect calls. The deep learning algorithms were implemented via Keras. Seve...
Tallennettuna:
| Julkaisussa: | J Appl Genet |
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| Päätekijät: | , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer Berlin Heidelberg
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7652806/ https://ncbi.nlm.nih.gov/pubmed/32996082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13353-020-00586-0 |
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