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...

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Detalles Bibliográficos
Autores principales: Kotlarz, Krzysztof, Mielczarek, Magda, Suchocki, Tomasz, Czech, Bartosz, Guldbrandtsen, Bernt, Szyda, Joanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Animal Genetics • Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652806/
https://www.ncbi.nlm.nih.gov/pubmed/32996082
http://dx.doi.org/10.1007/s13353-020-00586-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652806/
https://www.ncbi.nlm.nih.gov/pubmed/32996082
http://dx.doi.org/10.1007/s13353-020-00586-0

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